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Dongmei Zhang 0001
Person information
- affiliation: Microsoft Research Asia, Beijing, China
- affiliation (PhD 1999): Carnegie Mellon University, School of Computer Science, Pittsburgh, PA, USA
Other persons with the same name
- Dongmei Zhang (aka: Dong-Mei Zhang) — disambiguation page
- Dongmei Zhang 0002 — Shandong Jianzhu University, Jinan, China
- Dongmei Zhang 0003 — Beijing Normal University, Beijing, China
- Dongmei Zhang 0004 — Army Engineering University of PLA, Nanjing, China (and 1 more)
- Dongmei Zhang 0005 — Zhejiang University of Technology, Hangzhou, China
- Dongmei Zhang 0006 — China University of Geosciences, Wuhan, China
- Dongmei Zhang 0007 — Beijing University of Posts and Telecommunications, Beijing, China
- Dongmei Zhang 0008 — Tongji University, Department of Geotechnical Engineering, Shanghai, China (and 1 more)
- Dongmei Zhang 0009 — Linyi University, School of Mathematics and Statistics, China
- Dongmei Zhang 0010 — Nokia Siemens Networks, Beijing, China
- Dongmei Zhang 0011 — China University of Geosciences, School of Computer Science, Wuhan, China
- Dongmei Zhang 0012 — Qinhuangdao Port Co. Ltd., Qinhuangdao, China (and 1 more)
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2020 – today
- 2024
- [j28]Yuanyuan Jiang, Rui Ding, Tianchi Qiao, Yunan Zhu, Shi Han, Dongmei Zhang:
FXAM: A unified and fast interpretable model for predictive analytics. Expert Syst. Appl. 252: 123890 (2024) - [j27]Sibei Chen, Yeye He, Weiwei Cui, Ju Fan, Song Ge, Haidong Zhang, Dongmei Zhang, Surajit Chaudhuri:
Auto-Formula: Recommend Formulas in Spreadsheets using Contrastive Learning for Table Representations. Proc. ACM Manag. Data 2(3): 122 (2024) - [j26]Peng Li, Yeye He, Dror Yashar, Weiwei Cui, Song Ge, Haidong Zhang, Danielle Rifinski Fainman, Dongmei Zhang, Surajit Chaudhuri:
Table-GPT: Table Fine-tuned GPT for Diverse Table Tasks. Proc. ACM Manag. Data 2(3): 176 (2024) - [c216]Jiayi Liao, Xu Chen, Qiang Fu, Lun Du, Xiangnan He, Xiang Wang, Shi Han, Dongmei Zhang:
Text-to-Image Generation for Abstract Concepts. AAAI 2024: 3360-3368 - [c215]Xinyi He, Mengyu Zhou, Xinrun Xu, Xiaojun Ma, Rui Ding, Lun Du, Yan Gao, Ran Jia, Xu Chen, Shi Han, Zejian Yuan, Dongmei Zhang:
Text2Analysis: A Benchmark of Table Question Answering with Advanced Data Analysis and Unclear Queries. AAAI 2024: 18206-18215 - [c214]Zhuoshi Pan, Qianhui Wu, Huiqiang Jiang, Menglin Xia, Xufang Luo, Jue Zhang, Qingwei Lin, Victor Rühle, Yuqing Yang, Chin-Yew Lin, H. Vicky Zhao, Lili Qiu, Dongmei Zhang:
LLMLingua-2: Data Distillation for Efficient and Faithful Task-Agnostic Prompt Compression. ACL (Findings) 2024: 963-981 - [c213]Ruomeng Ding, Chaoyun Zhang, Lu Wang, Yong Xu, Minghua Ma, Wei Zhang, Si Qin, Saravan Rajmohan, Qingwei Lin, Dongmei Zhang:
Everything of Thoughts: Defying the Law of Penrose Triangle for Thought Generation. ACL (Findings) 2024: 1638-1662 - [c212]Sitao Cheng, Ziyuan Zhuang, Yong Xu, Fangkai Yang, Chaoyun Zhang, Xiaoting Qin, Xiang Huang, Ling Chen, Qingwei Lin, Dongmei Zhang, Saravan Rajmohan, Qi Zhang:
Call Me When Necessary: LLMs can Efficiently and Faithfully Reason over Structured Environments. ACL (Findings) 2024: 4275-4295 - [c211]Lu Wang, Mayukh Das, Fangkai Yang, Chao Du, Bo Qiao, Hang Dong, Chetan Bansal, Si Qin, Saravan Rajmohan, Qingwei Lin, Dongmei Zhang, Qi Zhang:
COIN: Chance-Constrained Imitation Learning for Safe and Adaptive Resource Oversubscription under Uncertainty. CIKM 2024: 4939-4947 - [c210]Chaoyun Zhang, Randolph Yao, Si Qin, Ze Li, Shekhar Agrawal, Binit R. Mishra, Tri Tran, Minghua Ma, Qingwei Lin, Murali Chintalapati, Dongmei Zhang:
Deoxys: A Causal Inference Engine for Unhealthy Node Mitigation in Large-scale Cloud Infrastructure. SoCC 2024: 361-379 - [c209]Mengkang Hu, Haoyu Dong, Ping Luo, Shi Han, Dongmei Zhang:
KET-QA: A Dataset for Knowledge Enhanced Table Question Answering. LREC/COLING 2024: 9705-9719 - [c208]Fan Hu, Yanlin Wang, Lun Du, Hongyu Zhang, Dongmei Zhang, Xirong Li:
Tackling Long Code Search with Splitting, Encoding, and Aggregating. LREC/COLING 2024: 15500-15510 - [c207]Kaikai An, Fangkai Yang, Junting Lu, Liqun Li, Zhixing Ren, Hao Huang, Lu Wang, Pu Zhao, Yu Kang, Hua Ding, Qingwei Lin, Saravan Rajmohan, Dongmei Zhang, Qi Zhang:
Nissist: An Incident Mitigation Copilot based on Troubleshooting Guides. ECAI 2024: 4471-4474 - [c206]Ziyuan Zhuang, Zhiyang Zhang, Sitao Cheng, Fangkai Yang, Jia Liu, Shujian Huang, Qingwei Lin, Saravan Rajmohan, Dongmei Zhang, Qi Zhang:
EfficientRAG: Efficient Retriever for Multi-Hop Question Answering. EMNLP 2024: 3392-3411 - [c205]Jia Fu, Xiaoting Qin, Fangkai Yang, Lu Wang, Jue Zhang, Qingwei Lin, Yubo Chen, Dongmei Zhang, Saravan Rajmohan, Qi Zhang:
AutoRAG-HP: Automatic Online Hyper-Parameter Tuning for Retrieval-Augmented Generation. EMNLP (Findings) 2024: 3875-3891 - [c204]Nuo Chen, Zinan Zheng, Ning Wu, Ming Gong, Dongmei Zhang, Jia Li:
Breaking Language Barriers in Multilingual Mathematical Reasoning: Insights and Observations. EMNLP (Findings) 2024: 7001-7016 - [c203]Jiaru Zou, Mengyu Zhou, Tao Li, Shi Han, Dongmei Zhang:
PromptIntern: Saving Inference Costs by Internalizing Recurrent Prompt during Large Language Model Fine-tuning. EMNLP (Findings) 2024: 10288-10305 - [c202]Yuan Sui, Jiaru Zou, Mengyu Zhou, Xinyi He, Lun Du, Shi Han, Dongmei Zhang:
TAP4LLM: Table Provider on Sampling, Augmenting, and Packing Semi-structured Data for Large Language Model Reasoning. EMNLP (Findings) 2024: 10306-10323 - [c201]Xinyi He, Jiaru Zou, Yun Lin, Mengyu Zhou, Shi Han, Zejian Yuan, Dongmei Zhang:
CoCoST: Automatic Complex Code Generation with Online Searching and Correctness Testing. EMNLP 2024: 19433-19451 - [c200]Haoyu Dong, Jianbo Zhao, Yuzhang Tian, Junyu Xiong, Mengyu Zhou, Yun Lin, José Cambronero, Yeye He, Shi Han, Dongmei Zhang:
Encoding Spreadsheets for Large Language Models. EMNLP 2024: 20728-20748 - [c199]Yinfang Chen, Huaibing Xie, Minghua Ma, Yu Kang, Xin Gao, Liu Shi, Yunjie Cao, Xuedong Gao, Hao Fan, Ming Wen, Jun Zeng, Supriyo Ghosh, Xuchao Zhang, Chaoyun Zhang, Qingwei Lin, Saravan Rajmohan, Dongmei Zhang, Tianyin Xu:
Automatic Root Cause Analysis via Large Language Models for Cloud Incidents. EuroSys 2024: 674-688 - [c198]Junjielong Xu, Ziang Cui, Yuan Zhao, Xu Zhang, Shilin He, Pinjia He, Liqun Li, Yu Kang, Qingwei Lin, Yingnong Dang, Saravan Rajmohan, Dongmei Zhang:
UniLog: Automatic Logging via LLM and In-Context Learning. ICSE 2024: 14:1-14:12 - [c197]Yuxuan Jiang, Chaoyun Zhang, Shilin He, Zhihao Yang, Minghua Ma, Si Qin, Yu Kang, Yingnong Dang, Saravan Rajmohan, Qingwei Lin, Dongmei Zhang:
Xpert: Empowering Incident Management with Query Recommendations via Large Language Models. ICSE 2024: 92:1-92:13 - [c196]Pingchuan Ma, Rui Ding, Qiang Fu, Jiaru Zhang, Shuai Wang, Shi Han, Dongmei Zhang:
Scalable Differentiable Causal Discovery in the Presence of Latent Confounders with Skeleton Posterior. KDD 2024: 2141-2152 - [c195]Zhaoyang Yu, Changhua Pei, Xin Wang, Minghua Ma, Chetan Bansal, Saravan Rajmohan, Qingwei Lin, Dongmei Zhang, Xidao Wen, Jianhui Li, Gaogang Xie, Dan Pei:
Pre-trained KPI Anomaly Detection Model Through Disentangled Transformer. KDD 2024: 6190-6201 - [c194]Jiawei Lin, Zhaoyun Jiang, Jiaqi Guo, Shizhao Sun, Ting Liu, Zijiang Yang, Jian-Guang Lou, Dongmei Zhang:
IconDM: Text-Guided Icon Set Expansion Using Diffusion Models. ACM Multimedia 2024: 156-165 - [c193]Chaoxiang He, Xiaofan Bai, Xiaojing Ma, Bin B. Zhu, Pingyi Hu, Jiayun Fu, Hai Jin, Dongmei Zhang:
Towards Stricter Black-box Integrity Verification of Deep Neural Network Models. ACM Multimedia 2024: 9875-9884 - [c192]Chaoxiang He, Xiaojing Ma, Bin B. Zhu, Yimiao Zeng, Hanqing Hu, Xiaofan Bai, Hai Jin, Dongmei Zhang:
DorPatch: Distributed and Occlusion-Robust Adversarial Patch to Evade Certifiable Defenses. NDSS 2024 - [c191]Zhaoyang Yu, Minghua Ma, Chaoyun Zhang, Si Qin, Yu Kang, Chetan Bansal, Saravan Rajmohan, Yingnong Dang, Changhua Pei, Dan Pei, Qingwei Lin, Dongmei Zhang:
MonitorAssistant: Simplifying Cloud Service Monitoring via Large Language Models. SIGSOFT FSE Companion 2024: 38-49 - [c190]Haitao Mao, Lun Du, Yujia Zheng, Qiang Fu, Zelin Li, Xu Chen, Shi Han, Dongmei Zhang:
Source Free Graph Unsupervised Domain Adaptation. WSDM 2024: 520-528 - [c189]Yuan Sui, Mengyu Zhou, Mingjie Zhou, Shi Han, Dongmei Zhang:
Table Meets LLM: Can Large Language Models Understand Structured Table Data? A Benchmark and Empirical Study. WSDM 2024: 645-654 - [c188]Chiming Duan, Fangkai Yang, Pu Zhao, Lingling Zheng, Yash Dagli, Yudong Liu, Qingwei Lin, Dongmei Zhang:
SOIL: Score Conditioned Diffusion Model for Imbalanced Cloud Failure Prediction. WWW (Companion Volume) 2024: 65-72 - [c187]Zexin Wang, Changhua Pei, Minghua Ma, Xin Wang, Zhihan Li, Dan Pei, Saravan Rajmohan, Dongmei Zhang, Qingwei Lin, Haiming Zhang, Jianhui Li, Gaogang Xie:
Revisiting VAE for Unsupervised Time Series Anomaly Detection: A Frequency Perspective. WWW 2024: 3096-3105 - [i135]Lu Wang, Mayukh Das, Fangkai Yang, Junjie Sheng, Bo Qiao, Hang Dong, Si Qin, Victor Rühle, Chetan Bansal, Eli Cortez, Íñigo Goiri, Saravan Rajmohan, Qingwei Lin, Dongmei Zhang:
Risk-aware Adaptive Virtual CPU Oversubscription in Microsoft Cloud via Prototypical Human-in-the-loop Imitation Learning. CoRR abs/2401.07033 (2024) - [i134]Lu Wang, Mayukh Das, Fangkai Yang, Chao Du, Bo Qiao, Hang Dong, Si Qin, Chetan Bansal, Qingwei Lin, Saravan Rajmohan, Dongmei Zhang, Qi Zhang:
COIN: Chance-Constrained Imitation Learning for Uncertainty-aware Adaptive Resource Oversubscription Policy. CoRR abs/2401.07051 (2024) - [i133]Lu Wang, Chao Du, Pu Zhao, Chuan Luo, Zhangchi Zhu, Bo Qiao, Wei Zhang, Qingwei Lin, Saravan Rajmohan, Dongmei Zhang, Qi Zhang:
Contrastive Learning with Negative Sampling Correction. CoRR abs/2401.08690 (2024) - [i132]Haozhe Li, Minghua Ma, Yudong Liu, Pu Zhao, Lingling Zheng, Ze Li, Yingnong Dang, Murali Chintalapati, Saravan Rajmohan, Qingwei Lin, Dongmei Zhang:
Why does Prediction Accuracy Decrease over Time? Uncertain Positive Learning for Cloud Failure Prediction. CoRR abs/2402.00034 (2024) - [i131]Zexin Wang, Changhua Pei, Minghua Ma, Xin Wang, Zhihan Li, Dan Pei, Saravan Rajmohan, Dongmei Zhang, Qingwei Lin, Haiming Zhang, Jianhui Li, Gaogang Xie:
Revisiting VAE for Unsupervised Time Series Anomaly Detection: A Frequency Perspective. CoRR abs/2402.02820 (2024) - [i130]Chaoyun Zhang, Liqun Li, Shilin He, Xu Zhang, Bo Qiao, Si Qin, Minghua Ma, Yu Kang, Qingwei Lin, Saravan Rajmohan, Dongmei Zhang, Qi Zhang:
UFO: A UI-Focused Agent for Windows OS Interaction. CoRR abs/2402.07939 (2024) - [i129]Hanshuang Tong, Jun Li, Ning Wu, Ming Gong, Dongmei Zhang, Qi Zhang:
Ploutos: Towards interpretable stock movement prediction with financial large language model. CoRR abs/2403.00782 (2024) - [i128]Sitao Cheng, Ziyuan Zhuang, Yong Xu, Fangkai Yang, Chaoyun Zhang, Xiaoting Qin, Xiang Huang, Ling Chen, Qingwei Lin, Dongmei Zhang, Saravan Rajmohan, Qi Zhang:
Call Me When Necessary: LLMs can Efficiently and Faithfully Reason over Structured Environments. CoRR abs/2403.08593 (2024) - [i127]Zhuoshi Pan, Qianhui Wu, Huiqiang Jiang, Menglin Xia, Xufang Luo, Jue Zhang, Qingwei Lin, Victor Rühle, Yuqing Yang, Chin-Yew Lin, H. Vicky Zhao, Lili Qiu, Dongmei Zhang:
LLMLingua-2: Data Distillation for Efficient and Faithful Task-Agnostic Prompt Compression. CoRR abs/2403.12968 (2024) - [i126]Xinyi He, Jiaru Zou, Yun Lin, Mengyu Zhou, Shi Han, Zejian Yuan, Dongmei Zhang:
CONLINE: Complex Code Generation and Refinement with Online Searching and Correctness Testing. CoRR abs/2403.13583 (2024) - [i125]Chaoyun Zhang, Zicheng Ma, Yuhao Wu, Shilin He, Si Qin, Minghua Ma, Xiaoting Qin, Yu Kang, Yuyi Liang, Xiaoyu Gou, Yajie Xue, Qingwei Lin, Saravan Rajmohan, Dongmei Zhang, Qi Zhang:
AllHands: Ask Me Anything on Large-scale Verbatim Feedback via Large Language Models. CoRR abs/2403.15157 (2024) - [i124]Sibei Chen, Yeye He, Weiwei Cui, Ju Fan, Song Ge, Haidong Zhang, Dongmei Zhang, Surajit Chaudhuri:
Auto-Formula: Recommend Formulas in Spreadsheets using Contrastive Learning for Table Representations. CoRR abs/2404.12608 (2024) - [i123]Dapeng Li, Hang Dong, Lu Wang, Bo Qiao, Si Qin, Qingwei Lin, Dongmei Zhang, Qi Zhang, Zhiwei Xu, Bin Zhang, Guoliang Fan:
Verco: Learning Coordinated Verbal Communication for Multi-agent Reinforcement Learning. CoRR abs/2404.17780 (2024) - [i122]Mengkang Hu, Haoyu Dong, Ping Luo, Shi Han, Dongmei Zhang:
KET-QA: A Dataset for Knowledge Enhanced Table Question Answering. CoRR abs/2405.08099 (2024) - [i121]Jun Liu, Chaoyun Zhang, Jiaxu Qian, Minghua Ma, Si Qin, Chetan Bansal, Qingwei Lin, Saravan Rajmohan, Dongmei Zhang:
Large Language Models can Deliver Accurate and Interpretable Time Series Anomaly Detection. CoRR abs/2405.15370 (2024) - [i120]Shiyu Xia, Junyu Xiong, Haoyu Dong, Jianbo Zhao, Yuzhang Tian, Mengyu Zhou, Yeye He, Shi Han, Dongmei Zhang:
Vision Language Models for Spreadsheet Understanding: Challenges and Opportunities. CoRR abs/2405.16234 (2024) - [i119]Hang Dong, Liwen Zhu, Zhao Shan, Bo Qiao, Fangkai Yang, Si Qin, Chuan Luo, Qingwei Lin, Yuwen Yang, Gurpreet Virdi, Saravan Rajmohan, Dongmei Zhang, Thomas Moscibroda:
An Advanced Reinforcement Learning Framework for Online Scheduling of Deferrable Workloads in Cloud Computing. CoRR abs/2406.01047 (2024) - [i118]Pingchuan Ma, Rui Ding, Qiang Fu, Jiaru Zhang, Shuai Wang, Shi Han, Dongmei Zhang:
Scalable Differentiable Causal Discovery in the Presence of Latent Confounders with Skeleton Posterior (Extended Version). CoRR abs/2406.10537 (2024) - [i117]Kaikai An, Fangkai Yang, Liqun Li, Junting Lu, Sitao Cheng, Lu Wang, Pu Zhao, Lele Cao, Qingwei Lin, Saravan Rajmohan, Dongmei Zhang, Qi Zhang:
Thread: A Logic-Based Data Organization Paradigm for How-To Question Answering with Retrieval Augmented Generation. CoRR abs/2406.13372 (2024) - [i116]Weihao Liu, Ning Wu, Wenbiao Ding, Shining Liang, Ming Gong, Dongmei Zhang:
Towards Truthful Multilingual Large Language Models: Benchmarking and Alignment Strategies. CoRR abs/2406.14434 (2024) - [i115]Jia Fu, Xiaoting Qin, Fangkai Yang, Lu Wang, Jue Zhang, Qingwei Lin, Yubo Chen, Dongmei Zhang, Saravan Rajmohan, Qi Zhang:
AutoRAG-HP: Automatic Online Hyper-Parameter Tuning for Retrieval-Augmented Generation. CoRR abs/2406.19251 (2024) - [i114]Jiaru Zou, Mengyu Zhou, Tao Li, Shi Han, Dongmei Zhang:
PromptIntern: Saving Inference Costs by Internalizing Recurrent Prompt during Large Language Model Fine-tuning. CoRR abs/2407.02211 (2024) - [i113]Yuyan Chen, Qiang Fu, Yichen Yuan, Zhihao Wen, Ge Fan, Dayiheng Liu, Dongmei Zhang, Zhixu Li, Yanghua Xiao:
Hallucination Detection: Robustly Discerning Reliable Answers in Large Language Models. CoRR abs/2407.04121 (2024) - [i112]Yuzhang Tian, Jianbo Zhao, Haoyu Dong, Junyu Xiong, Shiyu Xia, Mengyu Zhou, Yun Lin, José Cambronero, Yeye He, Shi Han, Dongmei Zhang:
SpreadsheetLLM: Encoding Spreadsheets for Large Language Models. CoRR abs/2407.09025 (2024) - [i111]Yuyan Chen, Qiang Fu, Ge Fan, Lun Du, Jian-Guang Lou, Shi Han, Dongmei Zhang, Zhixu Li, Yanghua Xiao:
Hadamard Adapter: An Extreme Parameter-Efficient Adapter Tuning Method for Pre-trained Language Models. CoRR abs/2407.11033 (2024) - [i110]Zhiyang Zhang, Fangkai Yang, Xiaoting Qin, Jue Zhang, Qingwei Lin, Gong Cheng, Dongmei Zhang, Saravan Rajmohan, Qi Zhang:
The Vision of Autonomic Computing: Can LLMs Make It a Reality? CoRR abs/2407.14402 (2024) - [i109]Mengkang Hu, Pu Zhao, Can Xu, Qingfeng Sun, Jianguang Lou, Qingwei Lin, Ping Luo, Saravan Rajmohan, Dongmei Zhang:
AgentGen: Enhancing Planning Abilities for Large Language Model based Agent via Environment and Task Generation. CoRR abs/2408.00764 (2024) - [i108]Ziyuan Zhuang, Zhiyang Zhang, Sitao Cheng, Fangkai Yang, Jia Liu, Shujian Huang, Qingwei Lin, Saravan Rajmohan, Dongmei Zhang, Qi Zhang:
EfficientRAG: Efficient Retriever for Multi-Hop Question Answering. CoRR abs/2408.04259 (2024) - [i107]Junting Lu, Zhiyang Zhang, Fangkai Yang, Jue Zhang, Lu Wang, Chao Du, Qingwei Lin, Saravan Rajmohan, Dongmei Zhang, Qi Zhang:
Turn Every Application into an Agent: Towards Efficient Human-Agent-Computer Interaction with API-First LLM-Based Agents. CoRR abs/2409.17140 (2024) - 2023
- [j25]Ensheng Shi, Yanlin Wang, Lun Du, Hongyu Zhang, Shi Han, Dongmei Zhang, Hongbin Sun:
CoCoAST: Representing Source Code via Hierarchical Splitting and Reconstruction of Abstract Syntax Trees. Empir. Softw. Eng. 28(6): 135 (2023) - [j24]Pingchuan Ma, Rui Ding, Shuai Wang, Shi Han, Dongmei Zhang:
XInsight: eXplainable Data Analysis Through The Lens of Causality. Proc. ACM Manag. Data 1(2): 156:1-156:27 (2023) - [j23]Yuhang Chen, Chaoyun Zhang, Minghua Ma, Yudong Liu, Ruomeng Ding, Bowen Li, Shilin He, Saravan Rajmohan, Qingwei Lin, Dongmei Zhang:
ImDiffusion: Imputed Diffusion Models for Multivariate Time Series Anomaly Detection. Proc. VLDB Endow. 17(3): 359-372 (2023) - [j22]Yun Wang, Zhitao Hou, Leixian Shen, Tongshuang Wu, Jiaqi Wang, He Huang, Haidong Zhang, Dongmei Zhang:
Towards Natural Language-Based Visualization Authoring. IEEE Trans. Vis. Comput. Graph. 29(1): 1222-1232 (2023) - [j21]Wenyuan Kong, Zhaoyun Jiang, Shizhao Sun, Zhuoning Guo, Weiwei Cui, Ting Liu, Jianguang Lou, Dongmei Zhang:
Aesthetics++: Refining Graphic Designs by Exploring Design Principles and Human Preference. IEEE Trans. Vis. Comput. Graph. 29(6): 3093-3104 (2023) - [c186]Ran Jia, Qiyu Li, Zihan Xu, Xiaoyuan Jin, Lun Du, Haoyu Dong, Xiao Lv, Shi Han, Dongmei Zhang:
SheetPT: Spreadsheet Pre-training Based on Hierarchical Attention Network. AAAI 2023: 12951-12958 - [c185]Lunyiu Nie, Jiuding Sun, Yanlin Wang, Lun Du, Shi Han, Dongmei Zhang, Lei Hou, Juanzi Li, Jidong Zhai:
Unveiling the Black Box of PLMs with Semantic Anchors: Towards Interpretable Neural Semantic Parsing. AAAI 2023: 13400-13408 - [c184]Wanrong He, Haoyu Dong, Yihuai Gao, Zhichao Fan, Xingzhuo Guo, Zhitao Hou, Xiao Lv, Ran Jia, Shi Han, Dongmei Zhang:
HermEs: Interactive Spreadsheet Formula Prediction via Hierarchical Formulet Expansion. ACL (1) 2023: 8356-8372 - [c183]Xinyi He, Mengyu Zhou, Mingjie Zhou, Jialiang Xu, Xiao Lv, Tianle Li, Yijia Shao, Shi Han, Zejian Yuan, Dongmei Zhang:
AnaMeta: A Table Understanding Dataset of Field Metadata Knowledge Shared by Multi-dimensional Data Analysis Tasks. ACL (Findings) 2023: 9471-9492 - [c182]Shengnan An, Zeqi Lin, Qiang Fu, Bei Chen, Nanning Zheng, Jian-Guang Lou, Dongmei Zhang:
How Do In-Context Examples Affect Compositional Generalization? ACL (1) 2023: 11027-11052 - [c181]Fangkai Yang, Lu Wang, Zhenyu Xu, Jue Zhang, Liqun Li, Bo Qiao, Camille Couturier, Chetan Bansal, Soumya Ram, Si Qin, Zhen Ma, Íñigo Goiri, Eli Cortez, Terry Yang, Victor Rühle, Saravan Rajmohan, Qingwei Lin, Dongmei Zhang:
Snape: Reliable and Low-Cost Computing with Mixture of Spot and On-Demand VMs. ASPLOS (3) 2023: 631-643 - [c180]Yuyan Chen, Qiang Fu, Yichen Yuan, Zhihao Wen, Ge Fan, Dayiheng Liu, Dongmei Zhang, Zhixu Li, Yanghua Xiao:
Hallucination Detection: Robustly Discerning Reliable Answers in Large Language Models. CIKM 2023: 245-255 - [c179]Yuyan Chen, Qiang Fu, Ge Fan, Lun Du, Jian-Guang Lou, Shi Han, Dongmei Zhang, Zhixu Li, Yanghua Xiao:
Hadamard Adapter: An Extreme Parameter-Efficient Adapter Tuning Method for Pre-trained Language Models. CIKM 2023: 276-285 - [c178]Zhaoyun Jiang, Jiaqi Guo, Shizhao Sun, Huayu Deng, Zhongkai Wu, Vuksan Mijovic, Zijiang James Yang, Jian-Guang Lou, Dongmei Zhang:
LayoutFormer++: Conditional Graphic Layout Generation via Constraint Serialization and Decoding Space Restriction. CVPR 2023: 18403-18412 - [c177]Xiaoting Qin, Minghua Ma, Yuheng Zhao, Jue Zhang, Chao Du, Yudong Liu, Anjaly Parayil, Chetan Bansal, Saravan Rajmohan, Íñigo Goiri, Eli Cortez, Si Qin, Qingwei Lin, Dongmei Zhang:
How Different are the Cloud Workloads? Characterizing Large-Scale Private and Public Cloud Workloads. DSN 2023: 522-530 - [c176]Fangkai Yang, Pu Zhao, Zezhong Wang, Lu Wang, Bo Qiao, Jue Zhang, Mohit Garg, Qingwei Lin, Saravan Rajmohan, Dongmei Zhang:
Empower Large Language Model to Perform Better on Industrial Domain-Specific Question Answering. EMNLP (Industry Track) 2023: 294-312 - [c175]Pingchuan Ma, Rui Ding, Shuai Wang, Shi Han, Dongmei Zhang:
InsightPilot: An LLM-Empowered Automated Data Exploration System. EMNLP (Demos) 2023: 346-352 - [c174]Junyi Zhang, Jiaqi Guo, Shizhao Sun, Jian-Guang Lou, Dongmei Zhang:
LayoutDiffusion: Improving Graphic Layout Generation by Discrete Diffusion Probabilistic Models. ICCV 2023: 7192-7202 - [c173]Jiawei Lin, Jiaqi Guo, Shizhao Sun, Weijiang Xu, Ting Liu, Jian-Guang Lou, Dongmei Zhang:
A Parse-Then-Place Approach for Generating Graphic Layouts from Textual Descriptions. ICCV 2023: 23565-23574 - [c172]Hongwei Han, Mengyu Zhou, Shi Han, Xiu Li, Dongmei Zhang:
CASR: Generating Complex Sequences with Autoregressive Self-Boost Refinement. ICLR 2023 - [c171]Jinsong Zhang, Qiang Fu, Xu Chen, Lun Du, Zelin Li, Gang Wang, Xiaoguang Liu, Shi Han, Dongmei Zhang:
Out-of-Distribution Detection based on In-Distribution Data Patterns Memorization with Modern Hopfield Energy. ICLR 2023 - [c170]Xu Zhang, Yuan Zhao, Ziang Cui, Liqun Li, Shilin He, Qingwei Lin, Yingnong Dang, Saravan Rajmohan, Dongmei Zhang:
Towards Lightweight, Model-Agnostic and Diversity-Aware Active Anomaly Detection. ICLR 2023 - [c169]Liqun Li, Xu Zhang, Shilin He, Yu Kang, Hongyu Zhang, Minghua Ma, Yingnong Dang, Zhangwei Xu, Saravan Rajmohan, Qingwei Lin, Dongmei Zhang:
CONAN: Diagnosing Batch Failures for Cloud Systems. ICSE-SEIP 2023: 138-149 - [c168]Xiaohan Yan, Ken Hsieh, Yasitha Liyanage, Minghua Ma, Murali Chintalapati, Qingwei Lin, Yingnong Dang, Dongmei Zhang:
Aegis: Attribution of Control Plane Change Impact across Layers and Components for Cloud Systems. ICSE-SEIP 2023: 222-233 - [c167]Zhengran Zeng, Yuqun Zhang, Yong Xu, Minghua Ma, Bo Qiao, Wentao Zou, Qingjun Chen, Meng Zhang, Xu Zhang, Hongyu Zhang, Xuedong Gao, Hao Fan, Saravan Rajmohan, Qingwei Lin, Dongmei Zhang:
TraceArk: Towards Actionable Performance Anomaly Alerting for Online Service Systems. ICSE-SEIP 2023: 258-269 - [c166]Zhenhao Li, Chuan Luo, Tse-Hsun Chen, Weiyi Shang, Shilin He, Qingwei Lin, Dongmei Zhang:
Did We Miss Something Important? Studying and Exploring Variable-Aware Log Abstraction. ICSE 2023: 830-842 - [c165]Ensheng Shi, Yanlin Wang, Wenchao Gu, Lun Du, Hongyu Zhang, Shi Han, Dongmei Zhang, Hongbin Sun:
CoCoSoDa: Effective Contrastive Learning for Code Search. ICSE 2023: 2198-2210 - [c164]Jinyang Liu, Shilin He, Zhuangbin Chen, Liqun Li, Yu Kang, Xu Zhang, Pinjia He, Hongyu Zhang, Qingwei Lin, Zhangwei Xu, Saravan Rajmohan, Dongmei Zhang, Michael R. Lyu:
Incident-aware Duplicate Ticket Aggregation for Cloud Systems. ICSE 2023: 2299-2311 - [c163]Haozhe Li, Minghua Ma, Yudong Liu, Si Qin, Bo Qiao, Randolph Yao, Harshwardhan Chaturvedi, Tri Tran, Murali Chintalapati, Saravan Rajmohan, Qingwei Lin, Dongmei Zhang:
CODEC: Cost-Effective Duration Prediction System for Deadline Scheduling in the Cloud. ISSRE 2023: 298-308 - [c162]Ensheng Shi, Yanlin Wang, Hongyu Zhang, Lun Du, Shi Han, Dongmei Zhang, Hongbin Sun:
Towards Efficient Fine-Tuning of Pre-trained Code Models: An Experimental Study and Beyond. ISSTA 2023: 39-51 - [c161]Jiayan Guo, Lun Du, Xu Chen, Xiaojun Ma, Qiang Fu, Shi Han, Dongmei Zhang, Yan Zhang:
On Manipulating Signals of User-Item Graph: A Jacobi Polynomial-based Graph Collaborative Filtering. KDD 2023: 602-613 - [c160]Ran Jia, Haoming Guo, Xiaoyuan Jin, Chao Yan, Lun Du, Xiaojun Ma, Tamara Stankovic, Marko Lozajic, Goran Zoranovic, Igor Ilic, Shi Han, Dongmei Zhang:
GetPt: Graph-enhanced General Table Pre-training with Alternate Attention Network. KDD 2023: 941-950 - [c159]Zhangchi Zhu, Lu Wang, Pu Zhao, Chao Du, Wei Zhang, Hang Dong, Bo Qiao, Qingwei Lin, Saravan Rajmohan, Dongmei Zhang:
Robust Positive-Unlabeled Learning via Noise Negative Sample Self-correction. KDD 2023: 3663-3673 - [c158]Dezhan Tu, Yeye He, Weiwei Cui, Song Ge, Haidong Zhang, Shi Han, Dongmei Zhang, Surajit Chaudhuri:
Auto-Validate by-History: Auto-Program Data Quality Constraints to Validate Recurring Data Pipelines. KDD 2023: 4991-5003 - [c157]Lu Wang, Chaoyun Zhang, Ruomeng Ding, Yong Xu, Qihang Chen, Wentao Zou, Qingjun Chen, Meng Zhang, Xuedong Gao, Hao Fan, Saravan Rajmohan, Qingwei Lin, Dongmei Zhang:
Root Cause Analysis for Microservice Systems via Hierarchical Reinforcement Learning from Human Feedback. KDD 2023: 5116-5125 - [c156]Fangkai Yang, Jue Zhang, Lu Wang, Bo Qiao, Di Weng, Xiaoting Qin, Gregory Weber, Durgesh Nandini Das, Srinivasan Rakhunathan, Ranganathan Srikanth, Qingwei Lin, Dongmei Zhang:
Contextual Self-attentive Temporal Point Process for Physical Decommissioning Prediction of Cloud Assets. KDD 2023: 5372-5381 - [c155]Chenyu Zhao, Minghua Ma, Zhenyu Zhong, Shenglin Zhang, Zhiyuan Tan, Xiao Xiong, LuLu Yu, Jiayi Feng, Yongqian Sun, Yuzhi Zhang, Dan Pei, Qingwei Lin, Dongmei Zhang:
Robust Multimodal Failure Detection for Microservice Systems. KDD 2023: 5639-5649 - [c154]Jiayun Fu, Xiaojing Ma, Bin B. Zhu, Pingyi Hu, Ruixin Zhao, Yaru Jia, Peng Xu, Hai Jin, Dongmei Zhang:
Focusing on Pinocchio's Nose: A Gradients Scrutinizer to Thwart Split-Learning Hijacking Attacks Using Intrinsic Attributes. NDSS 2023 - [c153]Liting Chen, Jie Yan, Zhengdao Shao, Lu Wang, Qingwei Lin, Saravanakumar Rajmohan, Thomas Moscibroda, Dongmei Zhang:
Conservative State Value Estimation for Offline Reinforcement Learning. NeurIPS 2023 - [c152]Jiawei Lin, Jiaqi Guo, Shizhao Sun, Zijiang Yang, Jian-Guang Lou, Dongmei Zhang:
LayoutPrompter: Awaken the Design Ability of Large Language Models. NeurIPS 2023 - [c151]Haoyue Dai, Rui Ding, Yuanyuan Jiang, Shi Han, Dongmei Zhang:
ML4C: Seeing Causality Through Latent Vicinity. SDM 2023: 226-234 - [c150]Pengxiang Jin, Shenglin Zhang, Minghua Ma, Haozhe Li, Yu Kang, Liqun Li, Yudong Liu, Bo Qiao, Chaoyun Zhang, Pu Zhao, Shilin He, Federica Sarro, Yingnong Dang, Saravan Rajmohan, Qingwei Lin, Dongmei Zhang:
Assess and Summarize: Improve Outage Understanding with Large Language Models. ESEC/SIGSOFT FSE 2023: 1657-1668 - [c149]Shilin He, Botao Feng, Liqun Li, Xu Zhang, Yu Kang, Qingwei Lin, Saravan Rajmohan, Dongmei Zhang:
STEAM: Observability-Preserving Trace Sampling. ESEC/SIGSOFT FSE 2023: 1750-1761 - [c148]Ruomeng Ding, Chaoyun Zhang, Lu Wang, Yong Xu, Minghua Ma, Xiaomin Wu, Meng Zhang, Qingjun Chen, Xin Gao, Xuedong Gao, Hao Fan, Saravan Rajmohan, Qingwei Lin, Dongmei Zhang:
TraceDiag: Adaptive, Interpretable, and Efficient Root Cause Analysis on Large-Scale Microservice Systems. ESEC/SIGSOFT FSE 2023: 1762-1773 - [c147]Fangkai Yang, Wenjie Yin, Lu Wang, Tianci Li, Pu Zhao, Bo Liu, Paul Wang, Bo Qiao, Yudong Liu, Mårten Björkman, Saravan Rajmohan, Qingwei Lin, Dongmei Zhang:
Diffusion-Based Time Series Data Imputation for Cloud Failure Prediction at Microsoft 365. ESEC/SIGSOFT FSE 2023: 2050-2055 - [c146]Wendong Bi, Lun Du, Qiang Fu, Yanlin Wang, Shi Han, Dongmei Zhang:
MM-GNN: Mix-Moment Graph Neural Network towards Modeling Neighborhood Feature Distribution. WSDM 2023: 132-140 - [c145]Fan Hu, Yanlin Wang, Lun Du, Xirong Li, Hongyu Zhang, Shi Han, Dongmei Zhang:
Revisiting Code Search in a Two-Stage Paradigm. WSDM 2023: 994-1002 - [c144]Jincheng Huang, Lun Du, Xu Chen, Qiang Fu, Shi Han, Dongmei Zhang:
Robust Mid-Pass Filtering Graph Convolutional Networks. WWW 2023: 328-338 - [c143]Qingwei Lin, Tianci Li, Pu Zhao, Yudong Liu, Minghua Ma, Lingling Zheng, Murali Chintalapati, Bo Liu, Paul Wang, Hongyu Zhang, Yingnong Dang, Saravan Rajmohan, Dongmei Zhang:
EDITS: An Easy-to-difficult Training Strategy for Cloud Failure Prediction. WWW (Companion Volume) 2023: 371-375 - [c142]Haoxin Liu, Pu Zhao, Si Qin, Yong Shi, Mirror Xu, Qingwei Lin, Dongmei Zhang:
HAPENS: Hardness-Personalized Negative Sampling for Implicit Collaborative Filtering. WWW (Companion Volume) 2023: 376-380 - [c141]Tong Cheng, Hang Dong, Lu Wang, Bo Qiao, Si Qin, Qingwei Lin, Dongmei Zhang, Saravan Rajmohan, Thomas Moscibroda:
Multi-Agent Reinforcement Learning with Shared Policy for Cloud Quota Management Problem. WWW (Companion Volume) 2023: 391-395 - [c140]Jiayan Guo, Lun Du, Wendong Bi, Qiang Fu, Xiaojun Ma, Xu Chen, Shi Han, Dongmei Zhang, Yan Zhang:
Homophily-oriented Heterogeneous Graph Rewiring. WWW 2023: 511-522 - [c139]Junjie Sheng, Lu Wang, Fangkai Yang, Bo Qiao, Hang Dong, Xiangfeng Wang, Bo Jin, Jun Wang, Si Qin, Saravan Rajmohan, Qingwei Lin, Dongmei Zhang:
Learning Cooperative Oversubscription for Cloud by Chance-Constrained Multi-Agent Reinforcement Learning. WWW 2023: 2927-2936 - [i106]Jiayan Guo, Lun Du, Wendong Bi, Qiang Fu, Xiaojun Ma, Xu Chen, Shi Han, Dongmei Zhang, Yan Zhang:
Homophily-oriented Heterogeneous Graph Rewiring. CoRR abs/2302.06299 (2023) - [i105]Liting Chen, Jie Yan, Zhengdao Shao, Lu Wang, Qingwei Lin, Dongmei Zhang:
Conservative State Value Estimation for Offline Reinforcement Learning. CoRR abs/2302.06884 (2023) - [i104]Jincheng Huang, Lun Du, Xu Chen, Qiang Fu, Shi Han, Dongmei Zhang:
Robust Mid-Pass Filtering Graph Convolutional Networks. CoRR abs/2302.08048 (2023) - [i103]Jinyang Liu, Shilin He, Zhuangbin Chen, Liqun Li, Yu Kang, Xu Zhang, Pinjia He, Hongyu Zhang, Qingwei Lin, Zhangwei Xu, Saravan Rajmohan, Dongmei Zhang, Michael R. Lyu:
Incident-aware Duplicate Ticket Aggregation for Cloud Systems. CoRR abs/2302.09520 (2023) - [i102]Junyi Zhang, Jiaqi Guo, Shizhao Sun, Jian-Guang Lou, Dongmei Zhang:
LayoutDiffusion: Improving Graphic Layout Generation by Discrete Diffusion Probabilistic Models. CoRR abs/2303.11589 (2023) - [i101]Pingchuan Ma, Rui Ding, Shuai Wang, Shi Han, Dongmei Zhang:
Demonstration of InsightPilot: An LLM-Empowered Automated Data Exploration System. CoRR abs/2304.00477 (2023) - [i100]Ensheng Shi, Yanlin Wang, Hongyu Zhang, Lun Du, Shi Han, Dongmei Zhang, Hongbin Sun:
Towards Efficient Fine-tuning of Pre-trained Code Models: An Experimental Study and Beyond. CoRR abs/2304.05216 (2023) - [i99]Zhenhao Li, Chuan Luo, Tse-Hsun Chen, Weiyi Shang, Shilin He, Qingwei Lin, Dongmei Zhang:
Did We Miss Something Important? Studying and Exploring Variable-Aware Log Abstraction. CoRR abs/2304.11391 (2023) - [i98]Shengnan An, Zeqi Lin, Qiang Fu, Bei Chen, Nanning Zheng, Jian-Guang Lou, Dongmei Zhang:
How Do In-Context Examples Affect Compositional Generalization? CoRR abs/2305.04835 (2023) - [i97]Zezhong Wang, Fangkai Yang, Pu Zhao, Lu Wang, Jue Zhang, Mohit Garg, Qingwei Lin, Dongmei Zhang:
Empower Large Language Model to Perform Better on Industrial Domain-Specific Question Answering. CoRR abs/2305.11541 (2023) - [i96]Liting Chen, Lu Wang, Hang Dong, Yali Du, Jie Yan, Fangkai Yang, Shuang Li, Pu Zhao, Si Qin, Saravan Rajmohan, Qingwei Lin, Dongmei Zhang:
Introspective Tips: Large Language Model for In-Context Decision Making. CoRR abs/2305.11598 (2023) - [i95]Yuan Sui, Mengyu Zhou, Mingjie Zhou, Shi Han, Dongmei Zhang:
Evaluating and Enhancing Structural Understanding Capabilities of Large Language Models on Tables via Input Designs. CoRR abs/2305.13062 (2023) - [i94]Yinfang Chen, Huaibing Xie, Minghua Ma, Yu Kang, Xin Gao, Liu Shi, Yunjie Cao, Xuedong Gao, Hao Fan, Ming Wen, Jun Zeng, Supriyo Ghosh, Xuchao Zhang, Chaoyun Zhang, Qingwei Lin, Saravan Rajmohan, Dongmei Zhang:
Empowering Practical Root Cause Analysis by Large Language Models for Cloud Incidents. CoRR abs/2305.15778 (2023) - [i93]Chongjian Yue, Xinrun Xu, Xiaojun Ma, Lun Du, Hengyu Liu, Zhiming Ding, Yanbing Jiang, Shi Han, Dongmei Zhang:
Leveraging LLMs for KPIs Retrieval from Hybrid Long-Document: A Comprehensive Framework and Dataset. CoRR abs/2305.16344 (2023) - [i92]Pengxiang Jin, Shenglin Zhang, Minghua Ma, Haozhe Li, Yu Kang, Liqun Li, Yudong Liu, Bo Qiao, Chaoyun Zhang, Pu Zhao, Shilin He, Federica Sarro, Yingnong Dang, Saravan Rajmohan, Qingwei Lin, Dongmei Zhang:
Assess and Summarize: Improve Outage Understanding with Large Language Models. CoRR abs/2305.18084 (2023) - [i91]Chenyu Zhao, Minghua Ma, Zhenyu Zhong, Shenglin Zhang, Zhiyuan Tan, Xiao Xiong, LuLu Yu, Jiayi Feng, Yongqian Sun, Yuzhi Zhang, Dan Pei, Qingwei Lin, Dongmei Zhang:
Robust Multimodal Failure Detection for Microservice Systems. CoRR abs/2305.18985 (2023) - [i90]Dezhan Tu, Yeye He, Weiwei Cui, Song Ge, Haidong Zhang, Shi Han, Dongmei Zhang, Surajit Chaudhuri:
Auto-Validate by-History: Auto-Program Data Quality Constraints to Validate Recurring Data Pipelines. CoRR abs/2306.02421 (2023) - [i89]Jiayan Guo, Lun Du, Xu Chen, Xiaojun Ma, Qiang Fu, Shi Han, Dongmei Zhang, Yan Zhang:
On Manipulating Signals of User-Item Graph: A Jacobi Polynomial-based Graph Collaborative Filtering. CoRR abs/2306.03624 (2023) - [i88]Yuhang Chen, Chaoyun Zhang, Minghua Ma, Yudong Liu, Ruomeng Ding, Bowen Li, Shilin He, Saravan Rajmohan, Qingwei Lin, Dongmei Zhang:
ImDiffusion: Imputed Diffusion Models for Multivariate Time Series Anomaly Detection. CoRR abs/2307.00754 (2023) - [i87]Zhangchi Zhu, Lu Wang, Pu Zhao, Chao Du, Wei Zhang, Hang Dong, Bo Qiao, Qingwei Lin, Saravan Rajmohan, Dongmei Zhang:
Robust Positive-Unlabeled Learning via Noise Negative Sample Self-correction. CoRR abs/2308.00279 (2023) - [i86]Yun Wang, Leixian Shen, Zhengxin You, Xinhuan Shu, Bongshin Lee, John Thompson, Haidong Zhang, Dongmei Zhang:
WonderFlow: Narration-Centric Design of Animated Data Videos. CoRR abs/2308.04040 (2023) - [i85]Haipeng Luo, Qingfeng Sun, Can Xu, Pu Zhao, Jianguang Lou, Chongyang Tao, Xiubo Geng, Qingwei Lin, Shifeng Chen, Dongmei Zhang:
WizardMath: Empowering Mathematical Reasoning for Large Language Models via Reinforced Evol-Instruct. CoRR abs/2308.09583 (2023) - [i84]Jiawei Lin, Jiaqi Guo, Shizhao Sun, Weijiang Xu, Ting Liu, Jian-Guang Lou, Dongmei Zhang:
A Parse-Then-Place Approach for Generating Graphic Layouts from Textual Descriptions. CoRR abs/2308.12700 (2023) - [i83]Ensheng Shi, Fengji Zhang, Yanlin Wang, Bei Chen, Lun Du, Hongyu Zhang, Shi Han, Dongmei Zhang, Hongbin Sun:
SoTaNa: The Open-Source Software Development Assistant. CoRR abs/2308.13416 (2023) - [i82]Danqing Huang, Jiaqi Guo, Shizhao Sun, Hanling Tian, Jieru Lin, Zheng Hu, Chin-Yew Lin, Jian-Guang Lou, Dongmei Zhang:
A Survey for Graphic Design Intelligence. CoRR abs/2309.01371 (2023) - [i81]Fangkai Yang, Wenjie Yin, Lu Wang, Tianci Li, Pu Zhao, Bo Liu, Paul Wang, Bo Qiao, Yudong Liu, Mårten Björkman, Saravan Rajmohan, Qingwei Lin, Dongmei Zhang:
Diffusion-based Time Series Data Imputation for Microsoft 365. CoRR abs/2309.02564 (2023) - [i80]Jiayi Liao, Xu Chen, Qiang Fu, Lun Du, Xiangnan He, Xiang Wang, Shi Han, Dongmei Zhang:
Text-to-Image Generation for Abstract Concepts. CoRR abs/2309.14623 (2023) - [i79]Peng Li, Yeye He, Dror Yashar, Weiwei Cui, Song Ge, Haidong Zhang, Danielle Rifinski Fainman, Dongmei Zhang, Surajit Chaudhuri:
Table-GPT: Table-tuned GPT for Diverse Table Tasks. CoRR abs/2310.09263 (2023) - [i78]Ruomeng Ding, Chaoyun Zhang, Lu Wang, Yong Xu, Minghua Ma, Xiaomin Wu, Meng Zhang, Qingjun Chen, Xin Gao, Xuedong Gao, Hao Fan, Saravan Rajmohan, Qingwei Lin, Dongmei Zhang:
TraceDiag: Adaptive, Interpretable, and Efficient Root Cause Analysis on Large-Scale Microservice Systems. CoRR abs/2310.18740 (2023) - [i77]Nuo Chen, Zinan Zheng, Ning Wu, Linjun Shou, Ming Gong, Yangqiu Song, Dongmei Zhang, Jia Li:
Breaking Language Barriers in Multilingual Mathematical Reasoning: Insights and Observations. CoRR abs/2310.20246 (2023) - [i76]Ruomeng Ding, Chaoyun Zhang, Lu Wang, Yong Xu, Minghua Ma, Wei Zhang, Si Qin, Saravan Rajmohan, Qingwei Lin, Dongmei Zhang:
Everything of Thoughts: Defying the Law of Penrose Triangle for Thought Generation. CoRR abs/2311.04254 (2023) - [i75]Jiawei Lin, Jiaqi Guo, Shizhao Sun, Zijiang James Yang, Jian-Guang Lou, Dongmei Zhang:
LayoutPrompter: Awaken the Design Ability of Large Language Models. CoRR abs/2311.06495 (2023) - [i74]Bo Qiao, Liqun Li, Xu Zhang, Shilin He, Yu Kang, Chaoyun Zhang, Fangkai Yang, Hang Dong, Jue Zhang, Lu Wang, Minghua Ma, Pu Zhao, Si Qin, Xiaoting Qin, Chao Du, Yong Xu, Qingwei Lin, Saravan Rajmohan, Dongmei Zhang:
TaskWeaver: A Code-First Agent Framework. CoRR abs/2311.17541 (2023) - [i73]Nuo Chen, Ning Wu, Shining Liang, Ming Gong, Linjun Shou, Dongmei Zhang, Jia Li:
Is Bigger and Deeper Always Better? Probing LLaMA Across Scales and Layers. CoRR abs/2312.04333 (2023) - [i72]Yuan Sui, Jiaru Zou, Mengyu Zhou, Xinyi He, Lun Du, Shi Han, Dongmei Zhang:
TAP4LLM: Table Provider on Sampling, Augmenting, and Packing Semi-structured Data for Large Language Model Reasoning. CoRR abs/2312.09039 (2023) - [i71]Yuxuan Jiang, Chaoyun Zhang, Shilin He, Zhihao Yang, Minghua Ma, Si Qin, Yu Kang, Yingnong Dang, Saravan Rajmohan, Qingwei Lin, Dongmei Zhang:
Xpert: Empowering Incident Management with Query Recommendations via Large Language Models. CoRR abs/2312.11988 (2023) - [i70]Xinyi He, Mengyu Zhou, Xinrun Xu, Xiaojun Ma, Rui Ding, Lun Du, Yan Gao, Ran Jia, Xu Chen, Shi Han, Zejian Yuan, Dongmei Zhang:
Text2Analysis: A Benchmark of Table Question Answering with Advanced Data Analysis and Unclear Queries. CoRR abs/2312.13671 (2023) - 2022
- [j20]Hao Cheng, Junhong Wang, Yun Wang, Bongshin Lee, Haidong Zhang, Dongmei Zhang:
Investigating the Role and Interplay of Narrations and Animations in Data Videos. Comput. Graph. Forum 41(3): 527-539 (2022) - [j19]Wei Tao, Yanlin Wang, Ensheng Shi, Lun Du, Shi Han, Hongyu Zhang, Dongmei Zhang, Wenqiang Zhang:
A large-scale empirical study of commit message generation: models, datasets and evaluation. Empir. Softw. Eng. 27(7): 198 (2022) - [j18]Yichen Li, Xu Zhang, Shilin He, Zhuangbin Chen, Yu Kang, Jinyang Liu, Liqun Li, Yingnong Dang, Feng Gao, Zhangwei Xu, Saravan Rajmohan, Qingwei Lin, Dongmei Zhang, Michael R. Lyu:
An Intelligent Framework for Timely, Accurate, and Comprehensive Cloud Incident Detection. ACM SIGOPS Oper. Syst. Rev. 56(1): 1-7 (2022) - [j17]Aoyu Wu, Yun Wang, Mengyu Zhou, Xinyi He, Haidong Zhang, Huamin Qu, Dongmei Zhang:
MultiVision: Designing Analytical Dashboards with Deep Learning Based Recommendation. IEEE Trans. Vis. Comput. Graph. 28(1): 162-172 (2022) - [j16]Weiwei Cui, Jinpeng Wang, He Huang, Yun Wang, Chin-Yew Lin, Haidong Zhang, Dongmei Zhang:
A Mixed-Initiative Approach to Reusing Infographic Charts. IEEE Trans. Vis. Comput. Graph. 28(1): 173-183 (2022) - [j15]Aoyu Wu, Yun Wang, Xinhuan Shu, Dominik Moritz, Weiwei Cui, Haidong Zhang, Dongmei Zhang, Huamin Qu:
AI4VIS: Survey on Artificial Intelligence Approaches for Data Visualization. IEEE Trans. Vis. Comput. Graph. 28(12): 5049-5070 (2022) - [c138]Zhaoyun Jiang, Shizhao Sun, Jihua Zhu, Jian-Guang Lou, Dongmei Zhang:
Coarse-to-Fine Generative Modeling for Graphic Layouts. AAAI 2022: 1096-1103 - [c137]Zhoujun Cheng, Haoyu Dong, Zhiruo Wang, Ran Jia, Jiaqi Guo, Yan Gao, Shi Han, Jian-Guang Lou, Dongmei Zhang:
HiTab: A Hierarchical Table Dataset for Question Answering and Natural Language Generation. ACL (1) 2022: 1094-1110 - [c136]Zhoujun Cheng, Haoyu Dong, Ran Jia, Pengfei Wu, Shi Han, Fan Cheng, Dongmei Zhang:
FORTAP: Using Formulas for Numerical-Reasoning-Aware Table Pretraining. ACL (1) 2022: 1150-1166 - [c135]Wenchao Gu, Yanlin Wang, Lun Du, Hongyu Zhang, Shi Han, Dongmei Zhang, Michael R. Lyu:
Accelerating Code Search with Deep Hashing and Code Classification. ACL (1) 2022: 2534-2544 - [c134]Yu Zhang, Yun Wang, Haidong Zhang, Bin Zhu, Siming Chen, Dongmei Zhang:
OneLabeler: A Flexible System for Building Data Labeling Tools. CHI 2022: 93:1-93:22 - [c133]Hengyu Liu, Qiang Fu, Lun Du, Tiancheng Zhang, Ge Yu, Shi Han, Dongmei Zhang:
Learning Rate Perturbation: A Generic Plugin of Learning Rate Schedule towards Flatter Local Minima. CIKM 2022: 4234-4238 - [c132]Fan Zhou, Mengkang Hu, Haoyu Dong, Zhoujun Cheng, Fan Cheng, Shi Han, Dongmei Zhang:
TaCube: Pre-computing Data Cubes for Answering Numerical-Reasoning Questions over Tabular Data. EMNLP 2022: 2278-2291 - [c131]Ensheng Shi, Yanlin Wang, Wei Tao, Lun Du, Hongyu Zhang, Shi Han, Dongmei Zhang, Hongbin Sun:
RACE: Retrieval-augmented Commit Message Generation. EMNLP 2022: 5520-5530 - [c130]Ao Liu, Haoyu Dong, Naoaki Okazaki, Shi Han, Dongmei Zhang:
PLOG: Table-to-Logic Pretraining for Logical Table-to-Text Generation. EMNLP 2022: 5531-5546 - [c129]Jialiang Xu, Mengyu Zhou, Xinyi He, Shi Han, Dongmei Zhang:
Towards Robust Numerical Question Answering: Diagnosing Numerical Capabilities of NLP Systems. EMNLP 2022: 7950-7966 - [c128]Yijia Shao, Mengyu Zhou, Yifan Zhong, Tao Wu, Hongwei Han, Shi Han, Gideon Huang, Dongmei Zhang:
FormLM: Recommending Creation Ideas for Online Forms by Modelling Semantic and Structural Information. EMNLP 2022: 8133-8149 - [c127]Shuyue Li, Jiaqi Guo, Jian-Guang Lou, Ming Fan, Ting Liu, Dongmei Zhang:
Testing Machine Learning Systems in Industry: An Empirical Study. ICSE (SEIP) 2022: 263-272 - [c126]Chenxi Zhang, Xin Peng, Chaofeng Sha, Ke Zhang, Zhenqing Fu, Xiya Wu, Qingwei Lin, Dongmei Zhang:
DeepTraLog: Trace-Log Combined Microservice Anomaly Detection through Graph-based Deep Learning. ICSE 2022: 623-634 - [c125]Ensheng Shi, Yanlin Wang, Lun Du, Junjie Chen, Shi Han, Hongyu Zhang, Dongmei Zhang, Hongbin Sun:
On the Evaluation of Neural Code Summarization. ICSE 2022: 1597-1608 - [c124]Pu Zhao, Chuan Luo, Bo Qiao, Lu Wang, Saravan Rajmohan, Qingwei Lin, Dongmei Zhang:
T-SMOTE: Temporal-oriented Synthetic Minority Oversampling Technique for Imbalanced Time Series Classification. IJCAI 2022: 2406-2412 - [c123]Haoyu Dong, Zhoujun Cheng, Xinyi He, Mengyu Zhou, Anda Zhou, Fan Zhou, Ao Liu, Shi Han, Dongmei Zhang:
Table Pre-training: A Survey on Model Architectures, Pre-training Objectives, and Downstream Tasks. IJCAI 2022: 5426-5435 - [c122]Sruti Srinivasa Ragavan, Zhitao Hou, Yun Wang, Andrew D. Gordon, Haidong Zhang, Dongmei Zhang:
GridBook: Natural Language Formulas for the Spreadsheet Grid. IUI 2022: 345-368 - [c121]Pingchuan Ma, Rui Ding, Haoyue Dai, Yuanyuan Jiang, Shuai Wang, Shi Han, Dongmei Zhang:
ML4S: Learning Causal Skeleton from Vicinal Graphs. KDD 2022: 1213-1223 - [c120]Xingzhi Sun, Ziyu Wang, Rui Ding, Shi Han, Dongmei Zhang:
pureGAM: Learning an Inherently Pure Additive Model. KDD 2022: 1728-1738 - [c119]Jie Yan, Yunlei Lu, Liting Chen, Si Qin, Yixin Fang, Qingwei Lin, Thomas Moscibroda, Saravan Rajmohan, Dongmei Zhang:
Solving the Batch Stochastic Bin Packing Problem in Cloud: A Chance-constrained Optimization Approach. KDD 2022: 2169-2179 - [c118]Yudong Liu, Hailan Yang, Pu Zhao, Minghua Ma, Chengwu Wen, Hongyu Zhang, Chuan Luo, Qingwei Lin, Chang Yi, Jiaojian Wang, Chenjian Zhang, Paul Wang, Yingnong Dang, Saravan Rajmohan, Dongmei Zhang:
Multi-task Hierarchical Classification for Disk Failure Prediction in Online Service Systems. KDD 2022: 3438-3446 - [c117]Lu Wang, Pu Zhao, Chao Du, Chuan Luo, Mengna Su, Fangkai Yang, Yudong Liu, Qingwei Lin, Min Wang, Yingnong Dang, Hongyu Zhang, Saravan Rajmohan, Dongmei Zhang:
NENYA: Cascade Reinforcement Learning for Cost-Aware Failure Mitigation at Microsoft 365. KDD 2022: 4032-4040 - [c116]Jiayun Fu, Bin B. Zhu, Haidong Zhang, Yayi Zou, Song Ge, Weiwei Cui, Yun Wang, Dongmei Zhang, Xiaojing Ma, Hai Jin:
ChartStamp: Robust Chart Embedding for Real-World Applications. ACM Multimedia 2022: 2786-2795 - [c115]Wei Tang, Yanlin Wang, Hongyu Zhang, Shi Han, Ping Luo, Dongmei Zhang:
LibDB: An Effective and Efficient Framework for Detecting Third-Party Libraries in Binaries. MSR 2022: 423-434 - [c114]Qiang Fu, Lun Du, Haitao Mao, Xu Chen, Wei Fang, Shi Han, Dongmei Zhang:
Neuron with Steady Response Leads to Better Generalization. NeurIPS 2022 - [c113]Xuheng Wang, Xu Zhang, Liqun Li, Shilin He, Hongyu Zhang, Yudong Liu, Lingling Zheng, Yu Kang, Qingwei Lin, Yingnong Dang, Saravanakumar Rajmohan, Dongmei Zhang:
SPINE: a scalable log parser with feedback guidance. ESEC/SIGSOFT FSE 2022: 1198-1208 - [c112]Lun Du, Xu Chen, Fei Gao, Qiang Fu, Kunqing Xie, Shi Han, Dongmei Zhang:
Understanding and Improvement of Adversarial Training for Network Embedding from an Optimization Perspective. WSDM 2022: 230-240 - [c111]Fangkai Yang, Bowen Pang, Jue Zhang, Bo Qiao, Lu Wang, Camille Couturier, Chetan Bansal, Soumya Ram, Si Qin, Zhen Ma, Iñigo Goiri, Eli Cortez, Senthil Baladhandayutham, Victor Rühle, Saravan Rajmohan, Qingwei Lin, Dongmei Zhang:
Spot Virtual Machine Eviction Prediction in Microsoft Cloud. WWW (Companion Volume) 2022: 152-156 - [c110]Lun Du, Xiaozhou Shi, Qiang Fu, Xiaojun Ma, Hengyu Liu, Shi Han, Dongmei Zhang:
GBK-GNN: Gated Bi-Kernel Graph Neural Networks for Modeling Both Homophily and Heterophily. WWW 2022: 1550-1558 - [c109]Yudong Liu, Xu Zhang, Shilin He, Hongyu Zhang, Liqun Li, Yu Kang, Yong Xu, Minghua Ma, Qingwei Lin, Yingnong Dang, Saravan Rajmohan, Dongmei Zhang:
UniParser: A Unified Log Parser for Heterogeneous Log Data. WWW 2022: 1893-1901 - [i69]Haoyu Dong, Zhoujun Cheng, Xinyi He, Mengyu Zhou, Anda Zhou, Fan Zhou, Ao Liu, Shi Han, Dongmei Zhang:
Table Pre-training: A Survey on Model Architectures, Pretraining Objectives, and Downstream Tasks. CoRR abs/2201.09745 (2022) - [i68]Yudong Liu, Xu Zhang, Shilin He, Hongyu Zhang, Liqun Li, Yu Kang, Yong Xu, Minghua Ma, Qingwei Lin, Yingnong Dang, Saravan Rajmohan, Dongmei Zhang:
UniParser: A Unified Log Parser for Heterogeneous Log Data. CoRR abs/2202.06569 (2022) - [i67]Ensheng Shi, Yanlin Wang, Lun Du, Hongyu Zhang, Shi Han, Dongmei Zhang, Hongbin Sun:
ECMG: Exemplar-based Commit Message Generation. CoRR abs/2203.02700 (2022) - [i66]Yu Zhang, Yun Wang, Haidong Zhang, Bin Zhu, Siming Chen, Dongmei Zhang:
OneLabeler: A Flexible System for Building Data Labeling Tools. CoRR abs/2203.14227 (2022) - [i65]Wenchao Gu, Yanlin Wang, Lun Du, Hongyu Zhang, Shi Han, Dongmei Zhang, Michael R. Lyu:
Accelerating Code Search with Deep Hashing and Code Classification. CoRR abs/2203.15287 (2022) - [i64]Ensheng Shi, Wenchao Gu, Yanlin Wang, Lun Du, Hongyu Zhang, Shi Han, Dongmei Zhang, Hongbin Sun:
Enhancing Semantic Code Search with Multimodal Contrastive Learning and Soft Data Augmentation. CoRR abs/2204.03293 (2022) - [i63]Wei Tang, Yanlin Wang, Hongyu Zhang, Shi Han, Ping Luo, Dongmei Zhang:
LibDB: An Effective and Efficient Framework for Detecting Third-Party Libraries in Binaries. CoRR abs/2204.10232 (2022) - [i62]Fan Zhou, Mengkang Hu, Haoyu Dong, Zhoujun Cheng, Shi Han, Dongmei Zhang:
TaCube: Pre-computing Data Cubes for Answering Numerical-Reasoning Questions over Tabular Data. CoRR abs/2205.12682 (2022) - [i61]Ao Liu, Haoyu Dong, Naoaki Okazaki, Shi Han, Dongmei Zhang:
PLOG: Table-to-Logic Pretraining for Logical Table-to-Text Generation. CoRR abs/2205.12697 (2022) - [i60]Jie Yan, Yunlei Lu, Liting Chen, Si Qin, Yixin Fang, Qingwei Lin, Thomas Moscibroda, Saravan Rajmohan, Dongmei Zhang:
Solving the Batch Stochastic Bin Packing Problem in Cloud: A Chance-constrained Optimization Approach. CoRR abs/2207.11122 (2022) - [i59]Pingchuan Ma, Rui Ding, Shuai Wang, Shi Han, Dongmei Zhang:
XInsight: eXplainable Data Analysis Through The Lens of Causality. CoRR abs/2207.12718 (2022) - [i58]Lingbo Li, Tianle Li, Xinyi He, Mengyu Zhou, Shi Han, Dongmei Zhang:
ASTA: Learning Analytical Semantics over Tables for Intelligent Data Analysis and Visualization. CoRR abs/2208.01043 (2022) - [i57]Wendong Bi, Lun Du, Qiang Fu, Yanlin Wang, Shi Han, Dongmei Zhang:
MM-GNN: Mix-Moment Graph Neural Network towards Modeling Neighborhood Feature Distribution. CoRR abs/2208.07012 (2022) - [i56]Zhaoyun Jiang, Huayu Deng, Zhongkai Wu, Jiaqi Guo, Shizhao Sun, Vuksan Mijovic, Zijiang Yang, Jian-Guang Lou, Dongmei Zhang:
UniLayout: Taming Unified Sequence-to-Sequence Transformers for Graphic Layout Generation. CoRR abs/2208.08037 (2022) - [i55]Yun Wang, Zhitao Hou, Leixian Shen, Tongshuang Wu, Jiaqi Wang, He Huang, Haidong Zhang, Dongmei Zhang:
Towards Natural Language-Based Visualization Authoring. CoRR abs/2208.10947 (2022) - [i54]Fan Hu, Yanlin Wang, Lun Du, Hongyu Zhang, Shi Han, Dongmei Zhang, Xirong Li:
Long Code for Code Search. CoRR abs/2208.11271 (2022) - [i53]Fan Hu, Yanlin Wang, Lun Du, Xirong Li, Hongyu Zhang, Shi Han, Dongmei Zhang:
Revisiting Code Search in a Two-Stage Paradigm. CoRR abs/2208.11274 (2022) - [i52]Hengyu Liu, Qiang Fu, Lun Du, Tiancheng Zhang, Ge Yu, Shi Han, Dongmei Zhang:
Learning Rate Perturbation: A Generic Plugin of Learning Rate Schedule towards Flatter Local Minima. CoRR abs/2208.11873 (2022) - [i51]Xinyi He, Mengyu Zhou, Jialiang Xu, Xiao Lv, Tianle Li, Yijia Shao, Shi Han, Zejian Yuan, Dongmei Zhang:
Inferring Tabular Analysis Metadata by Infusing Distribution and Knowledge Information. CoRR abs/2209.00946 (2022) - [i50]Wendong Bi, Lun Du, Qiang Fu, Yanlin Wang, Shi Han, Dongmei Zhang:
Make Heterophily Graphs Better Fit GNN: A Graph Rewiring Approach. CoRR abs/2209.08264 (2022) - [i49]Minghua Ma, Zhao Tian, Max Hort, Federica Sarro, Hongyu Zhang, Qingwei Lin, Dongmei Zhang:
Enhanced Fairness Testing via Generating Effective Initial Individual Discriminatory Instances. CoRR abs/2209.08321 (2022) - [i48]Lunyiu Nie, Jiuding Sun, Yanlin Wang, Lun Du, Shi Han, Dongmei Zhang, Lei Hou, Juanzi Li, Jidong Zhai:
Guiding the PLMs with Semantic Anchors as Intermediate Supervision: Towards Interpretable Semantic Parsing. CoRR abs/2210.01425 (2022) - [i47]Fan Zhou, Haoyu Dong, Qian Liu, Zhoujun Cheng, Shi Han, Dongmei Zhang:
Reflection of Thought: Inversely Eliciting Numerical Reasoning in Language Models via Solving Linear Systems. CoRR abs/2210.05075 (2022) - [i46]Yijia Shao, Mengyu Zhou, Yifan Zhong, Tao Wu, Hongwei Han, Shi Han, Gideon Huang, Dongmei Zhang:
FormLM: Recommending Creation Ideas for Online Forms by Modelling Semantic and Structural Information. CoRR abs/2211.05284 (2022) - [i45]Jialiang Xu, Mengyu Zhou, Xinyi He, Shi Han, Dongmei Zhang:
Towards Robust Numerical Question Answering: Diagnosing Numerical Capabilities of NLP Systems. CoRR abs/2211.07455 (2022) - [i44]Junjie Sheng, Lu Wang, Fangkai Yang, Bo Qiao, Hang Dong, Xiangfeng Wang, Bo Jin, Jun Wang, Si Qin, Saravan Rajmohan, Qingwei Lin, Dongmei Zhang:
Learning Cooperative Oversubscription for Cloud by Chance-Constrained Multi-Agent Reinforcement Learning. CoRR abs/2211.11759 (2022) - [i43]Hongwei Han, Jialiang Xu, Mengyu Zhou, Yijia Shao, Shi Han, Dongmei Zhang:
LUNA: Language Understanding with Number Augmentations on Transformers via Number Plugins and Pre-training. CoRR abs/2212.02691 (2022) - 2021
- [j14]Yun Wang, Yi Gao, Ray Huang, Weiwei Cui, Haidong Zhang, Dongmei Zhang:
Animated Presentation of Static Infographics with InfoMotion. Comput. Graph. Forum 40(3): 507-518 (2021) - [j13]Jiayun Fu, Bin Zhu, Weiwei Cui, Song Ge, Yun Wang, Haidong Zhang, He Huang, Yuanyuan Tang, Dongmei Zhang, Xiaojing Ma:
Chartem: Reviving Chart Images with Data Embedding. IEEE Trans. Vis. Comput. Graph. 27(2): 337-346 (2021) - [j12]Chunyao Qian, Shizhao Sun, Weiwei Cui, Jian-Guang Lou, Haidong Zhang, Dongmei Zhang:
Retrieve-Then-Adapt: Example-based Automatic Generation for Proportion-related Infographics. IEEE Trans. Vis. Comput. Graph. 27(2): 443-452 (2021) - [c108]Yinuo Guo, Hualei Zhu, Zeqi Lin, Bei Chen, Jian-Guang Lou, Dongmei Zhang:
Revisiting Iterative Back-Translation from the Perspective of Compositional Generalization. AAAI 2021: 7601-7609 - [c107]Yinuo Guo, Zeqi Lin, Jian-Guang Lou, Dongmei Zhang:
Iterative Utterance Segmentation for Neural Semantic Parsing. AAAI 2021: 12937-12945 - [c106]Chenyao Liu, Shengnan An, Zeqi Lin, Qian Liu, Bei Chen, Jian-Guang Lou, Lijie Wen, Nanning Zheng, Dongmei Zhang:
Learning Algebraic Recombination for Compositional Generalization. ACL/IJCNLP (Findings) 2021: 1129-1144 - [c105]Yun Wang, Ying Liu, Weiwei Cui, John Tang, Haidong Zhang, Doug Walston, Dongmei Zhang:
Returning to the Office During the COVID-19 Pandemic Recovery: Early Indicators from China. CHI Extended Abstracts 2021: 417:1-417:6 - [c104]Lun Du, Xiaozhou Shi, Yanlin Wang, Ensheng Shi, Shi Han, Dongmei Zhang:
Is a Single Model Enough? MuCoS: A Multi-Model Ensemble Learning Approach for Semantic Code Search. CIKM 2021: 2994-2998 - [c103]Haitao Mao, Xu Chen, Qiang Fu, Lun Du, Shi Han, Dongmei Zhang:
Neuron Campaign for Initialization Guided by Information Bottleneck Theory. CIKM 2021: 3328-3332 - [c102]Jiaqi Guo, Jian-Guang Lou, Ting Liu, Dongmei Zhang:
Weakly Supervised Semantic Parsing by Learning from Mistakes. EMNLP (Findings) 2021: 2603-2617 - [c101]Ensheng Shi, Yanlin Wang, Lun Du, Hongyu Zhang, Shi Han, Dongmei Zhang, Hongbin Sun:
CAST: Enhancing Code Summarization with Hierarchical Splitting and Reconstruction of Abstract Syntax Trees. EMNLP (1) 2021: 4053-4062 - [c100]Chuan Luo, Jinkun Lin, Shaowei Cai, Xin Chen, Bing He, Bo Qiao, Pu Zhao, Qingwei Lin, Hongyu Zhang, Wei Wu, Saravanakumar Rajmohan, Dongmei Zhang:
AutoCCAG: An Automated Approach to Constrained Covering Array Generation. ICSE 2021: 201-212 - [c99]Wei Tao, Yanlin Wang, Ensheng Shi, Lun Du, Shi Han, Hongyu Zhang, Dongmei Zhang, Wenqiang Zhang:
On the Evaluation of Commit Message Generation Models: An Experimental Study. ICSME 2021: 126-136 - [c98]Hang Dong, Boshi Wang, Bo Qiao, Wenqian Xing, Chuan Luo, Si Qin, Qingwei Lin, Dongmei Zhang, Gurpreet Virdi, Thomas Moscibroda:
Predictive Job Scheduling under Uncertain Constraints in Cloud Computing. IJCAI 2021: 3627-3634 - [c97]Yuntao Li, Bei Chen, Qian Liu, Yan Gao, Jian-Guang Lou, Yan Zhang, Dongmei Zhang:
Keep the Structure: A Latent Shift-Reduce Parser for Semantic Parsing. IJCAI 2021: 3864-3870 - [c96]Weijing Wang, Junjie Chen, Lin Yang, Hongyu Zhang, Pu Zhao, Bo Qiao, Yu Kang, Qingwei Lin, Saravanakumar Rajmohan, Feng Gao, Zhangwei Xu, Yingnong Dang, Dongmei Zhang:
How Long Will it Take to Mitigate this Incident for Online Service Systems? ISSRE 2021: 36-46 - [c95]Yakun Zhang, Xiao Lv, Haoyu Dong, Wensheng Dou, Shi Han, Dongmei Zhang, Jun Wei, Dan Ye:
Semantic table structure identification in spreadsheets. ISSTA 2021: 283-295 - [c94]Chenyao Liu, Zeqi Lin, Jian-Guang Lou, Lijie Wen, Dongmei Zhang:
Can Neural Clone Detection Generalize to Unseen Functionalitiesƒ. ASE 2021: 617-629 - [c93]Lun Du, Fei Gao, Xu Chen, Ran Jia, Junshan Wang, Jiang Zhang, Shi Han, Dongmei Zhang:
TabularNet: A Neural Network Architecture for Understanding Semantic Structures of Tabular Data. KDD 2021: 322-331 - [c92]Zhiruo Wang, Haoyu Dong, Ran Jia, Jia Li, Zhiyi Fu, Shi Han, Dongmei Zhang:
TUTA: Tree-based Transformers for Generally Structured Table Pre-training. KDD 2021: 1780-1790 - [c91]Mengyu Zhou, Qingtao Li, Xinyi He, Yuejiang Li, Yibo Liu, Wei Ji, Shi Han, Yining Chen, Daxin Jiang, Dongmei Zhang:
Table2Charts: Recommending Charts by Learning Shared Table Representations. KDD 2021: 2389-2399 - [c90]Xu Zhang, Chao Du, Yifan Li, Yong Xu, Hongyu Zhang, Si Qin, Ze Li, Qingwei Lin, Yingnong Dang, Andrew Zhou, Saravanakumar Rajmohan, Dongmei Zhang:
HALO: Hierarchy-aware Fault Localization for Cloud Systems. KDD 2021: 3948-3958 - [c89]Kai Yan, Jie Yan, Chuan Luo, Liting Chen, Qingwei Lin, Dongmei Zhang:
A Surrogate Objective Framework for Prediction+Programming with Soft Constraints. NeurIPS 2021: 21520-21532 - [c88]Pingchuan Ma, Rui Ding, Shi Han, Dongmei Zhang:
MetaInsight: Automatic Discovery of Structured Knowledge for Exploratory Data Analysis. SIGMOD Conference 2021: 1262-1274 - [c87]Chuan Luo, Binqi Sun, Bo Qiao, Junjie Chen, Hongyu Zhang, Jinkun Lin, Qingwei Lin, Dongmei Zhang:
LS-sampling: an effective local search based sampling approach for achieving high t-wise coverage. ESEC/SIGSOFT FSE 2021: 1081-1092 - [c86]Hang Dong, Si Qin, Yong Xu, Bo Qiao, Shandan Zhou, Xian Yang, Chuan Luo, Pu Zhao, Qingwei Lin, Hongyu Zhang, Abulikemu Abuduweili, Sanjay Ramanujan, Karthikeyan Subramanian, Andrew Zhou, Saravanakumar Rajmohan, Dongmei Zhang, Thomas Moscibroda:
Effective low capacity status prediction for cloud systems. ESEC/SIGSOFT FSE 2021: 1236-1241 - [c85]Xu Zhang, Yong Xu, Si Qin, Shilin He, Bo Qiao, Ze Li, Hongyu Zhang, Xukun Li, Yingnong Dang, Qingwei Lin, Murali Chintalapati, Saravanakumar Rajmohan, Dongmei Zhang:
Onion: identifying incident-indicating logs for cloud systems. ESEC/SIGSOFT FSE 2021: 1253-1263 - [c84]Bo Qiao, Fangkai Yang, Chuan Luo, Yanan Wang, Johnny Li, Qingwei Lin, Hongyu Zhang, Mohit Datta, Andrew Zhou, Thomas Moscibroda, Saravanakumar Rajmohan, Dongmei Zhang:
Intelligent container reallocation at Microsoft 365. ESEC/SIGSOFT FSE 2021: 1438-1443 - [c83]Liqun Li, Xu Zhang, Xin Zhao, Hongyu Zhang, Yu Kang, Pu Zhao, Bo Qiao, Shilin He, Pochian Lee, Jeffrey Sun, Feng Gao, Li Yang, Qingwei Lin, Saravanakumar Rajmohan, Zhangwei Xu, Dongmei Zhang:
Fighting the Fog of War: Automated Incident Detection for Cloud Systems. USENIX ATC 2021: 131-146 - [c82]Tongliang Li, Lei Fang, Jian-Guang Lou, Zhoujun Li, Dongmei Zhang:
AnaSearch: Extract, Retrieve and Visualize Structured Results from Unstructured Text for Analytical Queries. WSDM 2021: 906-909 - [c81]Chuan Luo, Pu Zhao, Bo Qiao, Youjiang Wu, Hongyu Zhang, Wei Wu, Weihai Lu, Yingnong Dang, Saravanakumar Rajmohan, Qingwei Lin, Dongmei Zhang:
NTAM: Neighborhood-Temporal Attention Model for Disk Failure Prediction in Cloud Platforms. WWW 2021: 1181-1191 - [i42]Aoyu Wu, Yun Wang, Xinhuan Shu, Dominik Moritz, Weiwei Cui, Haidong Zhang, Dongmei Zhang, Huamin Qu:
Survey on Artificial Intelligence Approaches for Visualization Data. CoRR abs/2102.01330 (2021) - [i41]Lun Du, Xu Chen, Fei Gao, Kunqing Xie, Shi Han, Dongmei Zhang:
Understanding and Improvement of Adversarial Training for Network Embedding from an Optimization Perspective. CoRR abs/2105.08007 (2021) - [i40]Lun Du, Fei Gao, Xu Chen, Ran Jia, Junshan Wang, Jiang Zhang, Shi Han, Dongmei Zhang:
TabularNet: A Neural Network Architecture for Understanding Semantic Structures of Tabular Data. CoRR abs/2106.03096 (2021) - [i39]Haoyu Dong, Shijie Liu, Shi Han, Zhouyu Fu, Dongmei Zhang:
TableSense: Spreadsheet Table Detection with Convolutional Neural Networks. CoRR abs/2106.13500 (2021) - [i38]Wenchao Li, Yun Wang, He Huang, Weiwei Cui, Haidong Zhang, Huamin Qu, Dongmei Zhang:
AniVis: Generating Animated Transitions Between Statistical Charts with a Tree Model. CoRR abs/2106.14313 (2021) - [i37]Yanlin Wang, Ensheng Shi, Lun Du, Xiaodi Yang, Yuxuan Hu, Shi Han, Hongyu Zhang, Dongmei Zhang:
CoCoSum: Contextual Code Summarization with Multi-Relational Graph Neural Network. CoRR abs/2107.01933 (2021) - [i36]Lun Du, Xiaozhou Shi, Yanlin Wang, Ensheng Shi, Shi Han, Dongmei Zhang:
Is a Single Model Enough? MuCoS: A Multi-Model Ensemble Learning for Semantic Code Search. CoRR abs/2107.04773 (2021) - [i35]Wei Tao, Yanlin Wang, Ensheng Shi, Lun Du, Shi Han, Hongyu Zhang, Dongmei Zhang, Wenqiang Zhang:
On the Evaluation of Commit Message Generation Models: An Experimental Study. CoRR abs/2107.05373 (2021) - [i34]Chenyao Liu, Shengnan An, Zeqi Lin, Qian Liu, Bei Chen, Jian-Guang Lou, Lijie Wen, Nanning Zheng, Dongmei Zhang:
Learning Algebraic Recombination for Compositional Generalization. CoRR abs/2107.06516 (2021) - [i33]Ensheng Shi, Yanlin Wang, Lun Du, Junjie Chen, Shi Han, Hongyu Zhang, Dongmei Zhang, Hongbin Sun:
Neural Code Summarization: How Far Are We? CoRR abs/2107.07112 (2021) - [i32]Aoyu Wu, Yun Wang, Mengyu Zhou, Xinyi He, Haidong Zhang, Huamin Qu, Dongmei Zhang:
MultiVision: Designing Analytical Dashboards with Deep Learning Based Recommendation. CoRR abs/2107.07823 (2021) - [i31]Haitao Mao, Xu Chen, Qiang Fu, Lun Du, Shi Han, Dongmei Zhang:
Neuron Campaign for Initialization Guided by Information Bottleneck Theory. CoRR abs/2108.06530 (2021) - [i30]Zhoujun Cheng, Haoyu Dong, Zhiruo Wang, Ran Jia, Jiaqi Guo, Yan Gao, Shi Han, Jian-Guang Lou, Dongmei Zhang:
HiTab: A Hierarchical Table Dataset for Question Answering and Natural Language Generation. CoRR abs/2108.06712 (2021) - [i29]Ensheng Shi, Yanlin Wang, Lun Du, Hongyu Zhang, Shi Han, Dongmei Zhang, Hongbin Sun:
CAST: Enhancing Code Summarization with Hierarchical Splitting and Reconstruction of Abstract Syntax Trees. CoRR abs/2108.12987 (2021) - [i28]Zhoujun Cheng, Haoyu Dong, Fan Cheng, Ran Jia, Pengfei Wu, Shi Han, Dongmei Zhang:
FORTAP: Using Formulae for Numerical-Reasoning-Aware Table Pretraining. CoRR abs/2109.07323 (2021) - [i27]Haoyue Dai, Rui Ding, Yuanyuan Jiang, Shi Han, Dongmei Zhang:
ML4C: Seeing Causality Through Latent Vicinity. CoRR abs/2110.00637 (2021) - [i26]Lun Du, Xiaozhou Shi, Qiang Fu, Hengyu Liu, Shi Han, Dongmei Zhang:
GBK-GNN: Gated Bi-Kernel Graph Neural Networks for Modeling Both Homophily and Heterophily. CoRR abs/2110.15777 (2021) - [i25]Rui Ding, Tianchi Qiao, Yunan Zhu, Zhitao Zou, Shi Han, Dongmei Zhang:
A Unified and Fast Interpretable Model for Predictive Analytics. CoRR abs/2111.08255 (2021) - [i24]Kai Yan, Jie Yan, Chuan Luo, Liting Chen, Qingwei Lin, Dongmei Zhang:
A Surrogate Objective Framework for Prediction+Optimization with Soft Constraints. CoRR abs/2111.11358 (2021) - [i23]Qiang Fu, Lun Du, Haitao Mao, Xu Chen, Wei Fang, Shi Han, Dongmei Zhang:
Neuron with Steady Response Leads to Better Generalization. CoRR abs/2111.15414 (2021) - [i22]Haitao Mao, Lun Du, Yujia Zheng, Qiang Fu, Zelin Li, Xu Chen, Shi Han, Dongmei Zhang:
Source Free Unsupervised Graph Domain Adaptation. CoRR abs/2112.00955 (2021) - 2020
- [j11]Yun Wang, Zhida Sun, Haidong Zhang, Weiwei Cui, Ke Xu, Xiaojuan Ma, Dongmei Zhang:
DataShot: Automatic Generation of Fact Sheets from Tabular Data. IEEE Trans. Vis. Comput. Graph. 26(1): 895-905 (2020) - [j10]Weiwei Cui, Xiaoyu Zhang, Yun Wang, He Huang, Bei Chen, Lei Fang, Haidong Zhang, Jian-Guang Lou, Dongmei Zhang:
Text-to-Viz: Automatic Generation of Infographics from Proportion-Related Natural Language Statements. IEEE Trans. Vis. Comput. Graph. 26(1): 906-916 (2020) - [c80]Mengyu Zhou, Wang Tao, Pengxin Ji, Han Shi, Dongmei Zhang:
Table2Analysis: Modeling and Recommendation of Common Analysis Patterns for Multi-Dimensional Data. AAAI 2020: 320-328 - [c79]Rui Ding, Yanzhi Liu, Jingjing Tian, Zhouyu Fu, Shi Han, Dongmei Zhang:
Reliable and Efficient Anytime Skeleton Learning. AAAI 2020: 10101-10109 - [c78]Qian Liu, Yihong Chen, Bei Chen, Jian-Guang Lou, Zixuan Chen, Bin Zhou, Dongmei Zhang:
You Impress Me: Dialogue Generation via Mutual Persona Perception. ACL 2020: 1417-1427 - [c77]Haoyu Dong, Jinyu Wang, Zhouyu Fu, Shi Han, Dongmei Zhang:
Neural Formatting for Spreadsheet Tables. CIKM 2020: 305-314 - [c76]Haoyu Dong, Jiong Yang, Shi Han, Dongmei Zhang:
Learning Formatting Style Transfer and Structure Extraction for Spreadsheet Tables with a Hybrid Neural Network Architecture. CIKM 2020: 2389-2396 - [c75]Qian Liu, Bei Chen, Jian-Guang Lou, Bin Zhou, Dongmei Zhang:
Incomplete Utterance Rewriting as Semantic Segmentation. EMNLP (1) 2020: 2846-2857 - [c74]Yuntao Li, Bei Chen, Qian Liu, Yan Gao, Jian-Guang Lou, Yan Zhang, Dongmei Zhang:
"What Do You Mean by That?" A Parser-Independent Interactive Approach for Enhancing Text-to-SQL. EMNLP (1) 2020: 6913-6922 - [c73]Qian Liu, Bei Chen, Jiaqi Guo, Jian-Guang Lou, Bin Zhou, Dongmei Zhang:
How Far are We from Effective Context Modeling? An Exploratory Study on Semantic Parsing in Context. IJCAI 2020: 3580-3586 - [c72]Yu Zeng, Yan Gao, Jiaqi Guo, Bei Chen, Qian Liu, Jian-Guang Lou, Fei Teng, Dongmei Zhang:
RECPARSER: A Recursive Semantic Parsing Framework for Text-to-SQL Task. IJCAI 2020: 3644-3650 - [c71]Junjie Chen, Shu Zhang, Xiaoting He, Qingwei Lin, Hongyu Zhang, Dan Hao, Yu Kang, Feng Gao, Zhangwei Xu, Yingnong Dang, Dongmei Zhang:
How Incidental are the Incidents? Characterizing and Prioritizing Incidents for Large-Scale Online Service Systems. ASE 2020: 373-384 - [c70]Yinuo Guo, Zeqi Lin, Jian-Guang Lou, Dongmei Zhang:
Hierarchical Poset Decoding for Compositional Generalization in Language. NeurIPS 2020 - [c69]Qian Liu, Shengnan An, Jian-Guang Lou, Bei Chen, Zeqi Lin, Yan Gao, Bin Zhou, Nanning Zheng, Dongmei Zhang:
Compositional Generalization by Learning Analytical Expressions. NeurIPS 2020 - [c68]Jiazhen Gu, Chuan Luo, Si Qin, Bo Qiao, Qingwei Lin, Hongyu Zhang, Ze Li, Yingnong Dang, Shaowei Cai, Wei Wu, Yangfan Zhou, Murali Chintalapati, Dongmei Zhang:
Efficient incident identification from multi-dimensional issue reports via meta-heuristic search. ESEC/SIGSOFT FSE 2020: 292-303 - [c67]Yujun Chen, Xian Yang, Hang Dong, Xiaoting He, Hongyu Zhang, Qingwei Lin, Junjie Chen, Pu Zhao, Yu Kang, Feng Gao, Zhangwei Xu, Dongmei Zhang:
Identifying linked incidents in large-scale online service systems. ESEC/SIGSOFT FSE 2020: 304-314 - [c66]Jiazhen Gu, Jiaqi Wen, Zijian Wang, Pu Zhao, Chuan Luo, Yu Kang, Yangfan Zhou, Li Yang, Jeffrey Sun, Zhangwei Xu, Bo Qiao, Liqun Li, Qingwei Lin, Dongmei Zhang:
Efficient customer incident triage via linking with system incidents. ESEC/SIGSOFT FSE 2020: 1296-1307 - [c65]Jiajun Jiang, Weihai Lu, Junjie Chen, Qingwei Lin, Pu Zhao, Yu Kang, Hongyu Zhang, Yingfei Xiong, Feng Gao, Zhangwei Xu, Yingnong Dang, Dongmei Zhang:
How to mitigate the incident? an effective troubleshooting guide recommendation technique for online service systems. ESEC/SIGSOFT FSE 2020: 1410-1420 - [c64]Zhuangbin Chen, Yu Kang, Liqun Li, Xu Zhang, Hongyu Zhang, Hui Xu, Yangfan Zhou, Li Yang, Jeffrey Sun, Zhangwei Xu, Yingnong Dang, Feng Gao, Pu Zhao, Bo Qiao, Qingwei Lin, Dongmei Zhang, Michael R. Lyu:
Towards intelligent incident management: why we need it and how we make it. ESEC/SIGSOFT FSE 2020: 1487-1497 - [i21]Qian Liu, Bei Chen, Jiaqi Guo, Jian-Guang Lou, Bin Zhou, Dongmei Zhang:
How Far are We from Effective Context Modeling ? An Exploratory Study on Semantic Parsing in Context. CoRR abs/2002.00652 (2020) - [i20]Qian Liu, Yihong Chen, Bei Chen, Jian-Guang Lou, Zixuan Chen, Bin Zhou, Dongmei Zhang:
You Impress Me: Dialogue Generation via Mutual Persona Perception. CoRR abs/2004.05388 (2020) - [i19]Qian Liu, Shengnan An, Jian-Guang Lou, Bei Chen, Zeqi Lin, Yan Gao, Bin Zhou, Nanning Zheng, Dongmei Zhang:
Compositional Generalization by Learning Analytical Expressions. CoRR abs/2006.10627 (2020) - [i18]Chunyao Qian, Shizhao Sun, Weiwei Cui, Jian-Guang Lou, Haidong Zhang, Dongmei Zhang:
Retrieve-Then-Adapt: Example-based Automatic Generation for Proportion-related Infographics. CoRR abs/2008.01177 (2020) - [i17]Mengyu Zhou, Qingtao Li, Yuejiang Li, Shi Han, Dongmei Zhang:
Table2Charts: Learning Shared Representations for Recommending Charts on Multi-dimensional Data. CoRR abs/2008.11015 (2020) - [i16]Qian Liu, Bei Chen, Jian-Guang Lou, Bin Zhou, Dongmei Zhang:
Incomplete Utterance Rewriting as Semantic Segmentation. CoRR abs/2009.13166 (2020) - [i15]Yinuo Guo, Zeqi Lin, Jian-Guang Lou, Dongmei Zhang:
Hierarchical Poset Decoding for Compositional Generalization in Language. CoRR abs/2010.07792 (2020) - [i14]Zhiruo Wang, Haoyu Dong, Ran Jia, Jia Li, Zhiyi Fu, Shi Han, Dongmei Zhang:
Structure-aware Pre-training for Table Understanding with Tree-based Transformers. CoRR abs/2010.12537 (2020) - [i13]Yuntao Li, Bei Chen, Qian Liu, Yan Gao, Jian-Guang Lou, Yan Zhang, Dongmei Zhang:
"What Do You Mean by That?" A Parser-Independent Interactive Approach for Enhancing Text-to-SQL. CoRR abs/2011.04151 (2020) - [i12]Yinuo Guo, Hualei Zhu, Zeqi Lin, Bei Chen, Jian-Guang Lou, Dongmei Zhang:
Revisiting Iterative Back-Translation from the Perspective of Compositional Generalization. CoRR abs/2012.04276 (2020) - [i11]Yinuo Guo, Zeqi Lin, Jian-Guang Lou, Dongmei Zhang:
Iterative Utterance Segmentation for Neural Semantic Parsing. CoRR abs/2012.07019 (2020)
2010 – 2019
- 2019
- [j9]Xun Zhao, Weiwei Cui, Yanhong Wu, Haidong Zhang, Huamin Qu, Dongmei Zhang:
Oui! Outlier Interpretation on Multi-dimensional Data via Visual Analytics. Comput. Graph. Forum 38(3): 213-224 (2019) - [c63]Haoyu Dong, Shijie Liu, Shi Han, Zhouyu Fu, Dongmei Zhang:
TableSense: Spreadsheet Table Detection with Convolutional Neural Networks. AAAI 2019: 69-76 - [c62]Qian Liu, Bei Chen, Jian-Guang Lou, Ge Jin, Dongmei Zhang:
FANDA: A Novel Approach to Perform Follow-Up Query Analysis. AAAI 2019: 6770-6777 - [c61]Jiaqi Guo, Zecheng Zhan, Yan Gao, Yan Xiao, Jian-Guang Lou, Ting Liu, Dongmei Zhang:
Towards Complex Text-to-SQL in Cross-Domain Database with Intermediate Representation. ACL (1) 2019: 4524-4535 - [c60]Qian Liu, Bei Chen, Haoyan Liu, Jian-Guang Lou, Lei Fang, Bin Zhou, Dongmei Zhang:
A Split-and-Recombine Approach for Follow-up Query Analysis. EMNLP/IJCNLP (1) 2019: 5315-5325 - [c59]Zhen Dong, Shizhao Sun, Hongzhi Liu, Jian-Guang Lou, Dongmei Zhang:
Data-Anonymous Encoding for Text-to-SQL Generation. EMNLP/IJCNLP (1) 2019: 5404-5413 - [c58]Xiangning Chen, Bo Qiao, Weiyi Zhang, Wei Wu, Murali Chintalapati, Dongmei Zhang, Qingwei Lin, Chuan Luo, Xudong Li, Hongyu Zhang, Yong Xu, Yingnong Dang, Kaixin Sui, Xu Zhang:
Neural Feature Search: A Neural Architecture for Automated Feature Engineering. ICDM 2019: 71-80 - [c57]Junjie Chen, Xiaoting He, Qingwei Lin, Yong Xu, Hongyu Zhang, Dan Hao, Feng Gao, Zhangwei Xu, Yingnong Dang, Dongmei Zhang:
An empirical investigation of incident triage for online service systems. ICSE (SEIP) 2019: 111-120 - [c56]Chuan Luo, Holger H. Hoos, Shaowei Cai, Qingwei Lin, Hongyu Zhang, Dongmei Zhang:
Local Search with Efficient Automatic Configuration for Minimum Vertex Cover. IJCAI 2019: 1297-1304 - [c55]Junjie Chen, Xiaoting He, Qingwei Lin, Hongyu Zhang, Dan Hao, Feng Gao, Zhangwei Xu, Yingnong Dang, Dongmei Zhang:
Continuous Incident Triage for Large-Scale Online Service Systems. ASE 2019: 364-375 - [c54]Rui Ding, Shi Han, Yong Xu, Haidong Zhang, Dongmei Zhang:
QuickInsights: Quick and Automatic Discovery of Insights from Multi-Dimensional Data. SIGMOD Conference 2019: 317-332 - [c53]Xu Zhang, Yong Xu, Qingwei Lin, Bo Qiao, Hongyu Zhang, Yingnong Dang, Chunyu Xie, Xinsheng Yang, Qian Cheng, Ze Li, Junjie Chen, Xiaoting He, Randolph Yao, Jian-Guang Lou, Murali Chintalapati, Furao Shen, Dongmei Zhang:
Robust log-based anomaly detection on unstable log data. ESEC/SIGSOFT FSE 2019: 807-817 - [c52]Xu Zhang, Qingwei Lin, Yong Xu, Si Qin, Hongyu Zhang, Bo Qiao, Yingnong Dang, Xinsheng Yang, Qian Cheng, Murali Chintalapati, Youjiang Wu, Ken Hsieh, Kaixin Sui, Xin Meng, Yaohai Xu, Wenchi Zhang, Furao Shen, Dongmei Zhang:
Cross-dataset Time Series Anomaly Detection for Cloud Systems. USENIX ATC 2019: 1063-1076 - [c51]Yujun Chen, Xian Yang, Qingwei Lin, Hongyu Zhang, Feng Gao, Zhangwei Xu, Yingnong Dang, Dongmei Zhang, Hang Dong, Yong Xu, Hao Li, Yu Kang:
Outage Prediction and Diagnosis for Cloud Service Systems. WWW 2019: 2659-2665 - [e2]Dongmei Zhang, Anders Møller:
Proceedings of the 28th ACM SIGSOFT International Symposium on Software Testing and Analysis, ISSTA 2019, Beijing, China, July 15-19, 2019. ACM 2019, ISBN 978-1-4503-6224-5 [contents] - [i10]Qian Liu, Bei Chen, Jian-Guang Lou, Ge Jin, Dongmei Zhang:
FANDA: A Novel Approach to Perform Follow-up Query Analysis. CoRR abs/1901.08259 (2019) - [i9]Jiaqi Guo, Zecheng Zhan, Yan Gao, Yan Xiao, Jian-Guang Lou, Ting Liu, Dongmei Zhang:
Towards Complex Text-to-SQL in Cross-Domain Database with Intermediate Representation. CoRR abs/1905.08205 (2019) - [i8]Weiwei Cui, Xiaoyu Zhang, Yun Wang, He Huang, Bei Chen, Lei Fang, Haidong Zhang, Jian-Guang Lou, Dongmei Zhang:
Text-to-Viz: Automatic Generation of Infographics from Proportion-Related Natural Language Statements. CoRR abs/1907.09091 (2019) - [i7]Qian Liu, Bei Chen, Haoyan Liu, Lei Fang, Jian-Guang Lou, Bin Zhou, Dongmei Zhang:
A Split-and-Recombine Approach for Follow-up Query Analysis. CoRR abs/1909.08905 (2019) - [i6]Yan Gao, Jian-Guang Lou, Dongmei Zhang:
A Hybrid Semantic Parsing Approach for Tabular Data Analysis. CoRR abs/1910.10363 (2019) - 2018
- [j8]Lei Bu, Wen Xiong, Chieh-Jan Mike Liang, Shi Han, Dongmei Zhang, Shan Lin, Xuandong Li:
Systematically Ensuring the Confidence of Real-Time Home Automation IoT Systems. ACM Trans. Cyber Phys. Syst. 2(3): 22:1-22:23 (2018) - [c50]Zexuan Zhong, Jiaqi Guo, Wei Yang, Tao Xie, Jian-Guang Lou, Ting Liu, Dongmei Zhang:
Generating Regular Expressions from Natural Language Specifications: Are We There Yet? AAAI Workshops 2018: 791-794 - [c49]Yun Wang, Haidong Zhang, He Huang, Xi Chen, Qiufeng Yin, Zhitao Hou, Dongmei Zhang, Qiong Luo, Huamin Qu:
InfoNice: Easy Creation of Information Graphics. CHI 2018: 335 - [c48]Zexuan Zhong, Jiaqi Guo, Wei Yang, Jian Peng, Tao Xie, Jian-Guang Lou, Ting Liu, Dongmei Zhang:
SemRegex: A Semantics-Based Approach for Generating Regular Expressions from Natural Language Specifications. EMNLP 2018: 1608-1618 - [c47]Dongmei Zhang:
Decoding Technology Transfer through Experiences at Microsoft. SER&IP@ICSE 2018: 1 - [c46]Wensheng Dou, Shi Han, Liang Xu, Dongmei Zhang, Jun Wei:
Expandable group identification in spreadsheets. ASE 2018: 498-508 - [c45]Qingwei Lin, Weichen Ke, Jian-Guang Lou, Hongyu Zhang, Kaixin Sui, Yong Xu, Ziyi Zhou, Bo Qiao, Dongmei Zhang:
BigIN4: Instant, Interactive Insight Identification for Multi-Dimensional Big Data. KDD 2018: 547-555 - [c44]Shilin He, Qingwei Lin, Jian-Guang Lou, Hongyu Zhang, Michael R. Lyu, Dongmei Zhang:
Identifying impactful service system problems via log analysis. ESEC/SIGSOFT FSE 2018: 60-70 - [c43]Qingwei Lin, Ken Hsieh, Yingnong Dang, Hongyu Zhang, Kaixin Sui, Yong Xu, Jian-Guang Lou, Chenggang Li, Youjiang Wu, Randolph Yao, Murali Chintalapati, Dongmei Zhang:
Predicting Node failure in cloud service systems. ESEC/SIGSOFT FSE 2018: 480-490 - [c42]Jie Zhang, Shi Han, Dan Hao, Lu Zhang, Dongmei Zhang:
Automated refactoring of nested-IF formulae in spreadsheets. ESEC/SIGSOFT FSE 2018: 833-838 - [c41]Yong Xu, Kaixin Sui, Randolph Yao, Hongyu Zhang, Qingwei Lin, Yingnong Dang, Peng Li, Keceng Jiang, Wenchi Zhang, Jian-Guang Lou, Murali Chintalapati, Dongmei Zhang:
Improving Service Availability of Cloud Systems by Predicting Disk Error. USENIX ATC 2018: 481-494 - [i5]Jiyuan Wang, Ming Gao, Yu Jiang, Jian-Guang Lou, Yue Gao, Dongmei Zhang, Jiaguang Sun:
QuanFuzz: Fuzz Testing of Quantum Program. CoRR abs/1810.10310 (2018) - 2017
- [j7]Jian-Guang Lou, Qingwei Lin, Rui Ding, Qiang Fu, Dongmei Zhang, Tao Xie:
Experience report on applying software analytics in incident management of online service. Autom. Softw. Eng. 24(4): 905-941 (2017) - [c40]Yingnong Dang, Dongmei Zhang, Song Ge, Ray Huang, Chengyun Chu, Tao Xie:
Transferring Code-Clone Detection and Analysis to Practice. ICSE-SEIP 2017: 53-62 - [c39]Xiaodong Gu, Hongyu Zhang, Dongmei Zhang, Sunghun Kim:
DeepAM: Migrate APIs with Multi-modal Sequence to Sequence Learning. IJCAI 2017: 3675-3681 - [c38]Bo Tang, Shi Han, Man Lung Yiu, Rui Ding, Dongmei Zhang:
Extracting Top-K Insights from Multi-dimensional Data. SIGMOD Conference 2017: 1509-1524 - [i4]Xiaodong Gu, Hongyu Zhang, Dongmei Zhang, Sunghun Kim:
DeepAM: Migrate APIs with Multi-modal Sequence to Sequence Learning. CoRR abs/1704.07734 (2017) - [i3]Jie Zhang, Shi Han, Dan Hao, Lu Zhang, Dongmei Zhang:
Automated Refactoring of Nested-IF Formulae in Spreadsheets. CoRR abs/1712.09797 (2017) - 2016
- [j6]Forrest Shull, Anita D. Carleton, S. Jeromy Carrière, Rafael Prikladnicki, Dongmei Zhang:
The Future of Software Engineering. IEEE Softw. 33(1): 32-35 (2016) - [c37]Qingwei Lin, Jian-Guang Lou, Hongyu Zhang, Dongmei Zhang:
iDice: problem identification for emerging issues. ICSE 2016: 214-224 - [c36]Chieh-Jan Mike Liang, Lei Bu, Zhao Li, Junbei Zhang, Shi Han, Börje F. Karlsson, Dongmei Zhang, Feng Zhao:
Systematically Debugging IoT Control System Correctness for Building Automation. BuildSys@SenSys 2016: 133-142 - [c35]Xiaodong Gu, Hongyu Zhang, Dongmei Zhang, Sunghun Kim:
Deep API learning. SIGSOFT FSE 2016: 631-642 - [p3]Dongmei Zhang, Tao Xie:
Software analytics and its application in practice. Perspectives on Data Science for Software Engineering 2016: 7-11 - [p2]Qingwei Lin, Jian-Guang Lou, Hongyu Zhang, Dongmei Zhang:
How to tame your online services. Perspectives on Data Science for Software Engineering 2016: 63-65 - [p1]Zhitao Hou, Hongyu Zhang, Haidong Zhang, Dongmei Zhang:
Visual analytics for software engineering data. Perspectives on Data Science for Software Engineering 2016: 77-80 - [i2]Xiaodong Gu, Hongyu Zhang, Dongmei Zhang, Sunghun Kim:
Deep API Learning. CoRR abs/1605.08535 (2016) - 2015
- [j5]Xiangyu Zhang, Dongmei Zhang, Yves Le Traon, Qing Wang, Lu Zhang:
Roundtable: Research Opportunities and Challenges for Emerging Software Systems. J. Comput. Sci. Technol. 30(5): 935-941 (2015) - [j4]Rui Ding, Qiang Wang, Yingnong Dang, Qiang Fu, Haidong Zhang, Dongmei Zhang:
YADING: Fast Clustering of Large-Scale Time Series Data. Proc. VLDB Endow. 8(5): 473-484 (2015) - [j3]Jian Lu, David S. Rosenblum, Tevfik Bultan, Valérie Issarny, Schahram Dustdar, Margaret-Anne D. Storey, Dongmei Zhang:
Roundtable: The Future of Software Engineering for Internet Computing. IEEE Softw. 32(1): 91-97 (2015) - [c34]Xiao Xiao, Shi Han, Charles Zhang, Dongmei Zhang:
Uncovering JavaScript Performance Code Smells Relevant to Type Mutations. APLAS 2015: 335-355 - [c33]Jieming Zhu, Pinjia He, Qiang Fu, Hongyu Zhang, Michael R. Lyu, Dongmei Zhang:
Learning to Log: Helping Developers Make Informed Logging Decisions. ICSE (1) 2015: 415-425 - [c32]Fei Lv, Hongyu Zhang, Jian-Guang Lou, Shaowei Wang, Dongmei Zhang, Jianjun Zhao:
CodeHow: Effective Code Search Based on API Understanding and Extended Boolean Model (E). ASE 2015: 260-270 - [c31]Rui Ding, Hucheng Zhou, Jian-Guang Lou, Hongyu Zhang, Qingwei Lin, Qiang Fu, Dongmei Zhang, Tao Xie:
Log2: A Cost-Aware Logging Mechanism for Performance Diagnosis. USENIX ATC 2015: 139-150 - 2014
- [j2]Xiaoyin Wang, Yingnong Dang, Lu Zhang, Dongmei Zhang, Erica Lan, Hong Mei:
Predicting Consistency-Maintenance Requirement of Code Clonesat Copy-and-Paste Time. IEEE Trans. Software Eng. 40(8): 773-794 (2014) - [c30]Xiao Yu, Shi Han, Dongmei Zhang, Tao Xie:
Comprehending performance from real-world execution traces: a device-driver case. ASPLOS 2014: 193-206 - [c29]Rui Ding, Qiang Fu, Jian-Guang Lou, Qingwei Lin, Dongmei Zhang, Tao Xie:
Mining Historical Issue Repositories to Heal Large-Scale Online Service Systems. DSN 2014: 311-322 - [c28]Meng-Hui Lim, Jian-Guang Lou, Hongyu Zhang, Qiang Fu, Andrew Beng Jin Teoh, Qingwei Lin, Rui Ding, Dongmei Zhang:
Identifying Recurrent and Unknown Performance Issues. ICDM 2014: 320-329 - [c27]Qiang Fu, Jieming Zhu, Wenlu Hu, Jian-Guang Lou, Rui Ding, Qingwei Lin, Dongmei Zhang, Tao Xie:
Where do developers log? an empirical study on logging practices in industry. ICSE Companion 2014: 24-33 - [c26]Chen Luo, Jian-Guang Lou, Qingwei Lin, Qiang Fu, Rui Ding, Dongmei Zhang, Zhe Wang:
Correlating events with time series for incident diagnosis. KDD 2014: 1583-1592 - [c25]Chengnian Sun, Haidong Zhang, Jian-Guang Lou, Hongyu Zhang, Qiang Wang, Dongmei Zhang, Siau-Cheng Khoo:
Querying sequential software engineering data. SIGSOFT FSE 2014: 700-710 - [e1]Harry Xu, Tao Xie, Shan Lu, Dongmei Zhang, Santosh Nagarakatte, Christoph Csallner:
Proceedings of the 2014 Joint International Workshop on Dynamic Analysis (WODA) and Software and System Performance Testing, Debugging, and Analytics (PERTEA), WODA+PERTEA 2014, San Jose, CA, USA, July 22, 2014. ACM 2014, ISBN 978-1-4503-2934-7 [contents] - 2013
- [j1]Dongmei Zhang, Shi Han, Yingnong Dang, Jian-Guang Lou, Haidong Zhang, Tao Xie:
Software Analytics in Practice. IEEE Softw. 30(5): 30-37 (2013) - [c24]Dongmei Zhang, Tao Xie:
Pathways to technology transfer and adoption: achievements and challenges (mini-tutorial). ICSE 2013: 951-952 - [c23]Dongmei Zhang, Tao Xie:
Software analytics: achievements and challenges. ICSE 2013: 1487 - [c22]Xusheng Xiao, Shi Han, Dongmei Zhang, Tao Xie:
Context-sensitive delta inference for identifying workload-dependent performance bottlenecks. ISSTA 2013: 90-100 - [c21]Jian-Guang Lou, Qingwei Lin, Rui Ding, Qiang Fu, Dongmei Zhang, Tao Xie:
Software analytics for incident management of online services: An experience report. ASE 2013: 475-485 - [c20]Jue Wang, Yingnong Dang, Hongyu Zhang, Kai Chen, Tao Xie, Dongmei Zhang:
Mining succinct and high-coverage API usage patterns from source code. MSR 2013: 319-328 - [c19]Qiang Fu, Jian-Guang Lou, Qingwei Lin, Rui Ding, Dongmei Zhang, Tao Xie:
Contextual analysis of program logs for understanding system behaviors. MSR 2013: 397-400 - [i1]Ahmed E. Hassan, Katsuro Inoue, Tao Xie, Dongmei Zhang:
Software Analytics Principles and Practices (NII Shonan Meeting 2013-12). NII Shonan Meet. Rep. 2013 (2013) - 2012
- [c18]Yingnong Dang, Dongmei Zhang, Song Ge, Chengyun Chu, Yingjun Qiu, Tao Xie:
XIAO: tuning code clones at hands of engineers in practice. ACSAC 2012: 369-378 - [c17]Dongmei Zhang, Yingnong Dang, Shi Han, Tao Xie:
Teaching and Training for Software Analytics. CSEE&T 2012: 92 - [c16]Shi Han, Yingnong Dang, Song Ge, Dongmei Zhang, Tao Xie:
Performance debugging in the large via mining millions of stack traces. ICSE 2012: 145-155 - [c15]Dongmei Zhang, Tao Xie:
Software analytics in practice: Mini tutorial. ICSE 2012: 997 - [c14]Yingnong Dang, Rongxin Wu, Hongyu Zhang, Dongmei Zhang, Peter Nobel:
ReBucket: A method for clustering duplicate crash reports based on call stack similarity. ICSE 2012: 1084-1093 - [c13]Xiaoyin Wang, Yingnong Dang, Lu Zhang, Dongmei Zhang, Erica Lan, Hong Mei:
Can I clone this piece of code here? ASE 2012: 170-179 - [c12]Rui Ding, Qiang Fu, Jian-Guang Lou, Qingwei Lin, Dongmei Zhang, Jiajun Shen, Tao Xie:
Healing online service systems via mining historical issue repositories. ASE 2012: 318-321 - [c11]Dongmei Zhang:
MSR 2012 keynote: Software analytics in practice - Approaches and experiences. MSR 2012: 1 - [c10]Yida Tao, Yingnong Dang, Tao Xie, Dongmei Zhang, Sunghun Kim:
How do software engineers understand code changes?: an exploratory study in industry. SIGSOFT FSE 2012: 51 - [c9]Qiang Fu, Jian-Guang Lou, Qingwei Lin, Rui Ding, Dongmei Zhang, Zihao Ye, Tao Xie:
Performance Issue Diagnosis for Online Service Systems. SRDS 2012: 273-278 - 2011
- [c8]Yingnong Dang, Song Ge, Ray Huang, Dongmei Zhang:
Code clone detection experience at microsoft. IWSC 2011: 63-64
2000 – 2009
- 2009
- [c7]Ming Chang, Shi Han, Dongmei Zhang:
A Unified Framework for Recognizing Handwritten Chemical Expressions. ICDAR 2009: 1345-1349 - 2007
- [c6]Shi Han, Ming Chang, Yu Zou, Xinjian Chen, Dongmei Zhang:
Systematic Multi-Path HMM Topology Design for Online Handwriting Recognition of East Asian Characters. ICDAR 2007: 604-608 - 2006
- [c5]Shuo Wang, Xiaocao Xiong, Yan Xu, Chao Wang, Weiwei Zhang, Xiaofeng Dai, Dongmei Zhang:
Face-tracking as an augmented input in video games: enhancing presence, role-playing and control. CHI 2006: 1097-1106
1990 – 1999
- 1999
- [c4]Dongmei Zhang, Martial Hebert:
Experimental Analysis of Harmonic Shape Images. 3DIM 1999: 209-219 - [c3]Dongmei Zhang, Martial Hebert:
Harmonic Maps and Their Applications in Surface Matching. CVPR 1999: 2524-2530 - [c2]Dongmei Zhang, Martial Hebert:
Harmonic Shape Images: A Representation for 3D Free-Form Surfaces Based on Energy Minimization. EMMCVPR 1999: 30-43 - 1997
- [c1]Dongmei Zhang, Martial Hebert:
Multi-Scale Classification of 3-D Objects. CVPR 1997: 864-869
Coauthor Index
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