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ORCIDJing Gao 0004
Person information
- affiliation: Purdue University, School of Electrical and Computer Engineering, West Lafayette, IN, USA
- affiliation: University at Buffalo, NY, USA
Other persons with the same name
- Jing Gao — disambiguation page
- Jing Gao 0001
![[0000-0002-2857-5266]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0002-2857-5266")
— University of South Australia, School of Information Technology and Mathematical Sciences, Adelaide, Australia - Jing Gao 0002 — Tianjin University, School of Electronic Information Engineering, China
- Jing Gao 0003 — Tianjin Normal University, Tianjin Key Laboratory of Wireless Mobile Communications and Power Transmission, China (and 1 more)
- Jing Gao 0005 — University of the Ryukyus, Okinawa, Japan
- Jing Gao 0006 — Inner Mongolia Agricultural University, Hohhot China
- Jing Gao 0007 — Dalian University of Technology, School of Software Technology, China (and 1 more)
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2020 – today
- 2024
[c165]Haoyu Wang, Tianci Liu, Ruirui Li, Monica Xiao Cheng, Tuo Zhao, Jing Gao:
RoseLoRA: Row and Column-wise Sparse Low-rank Adaptation of Pre-trained Language Model for Knowledge Editing and Fine-tuning. EMNLP 2024: 996-1008- [c164]Haoyu Wang, Ruirui Li, Haoming Jiang, Jinjin Tian, Zhengyang Wang, Chen Luo, Xianfeng Tang, Monica Xiao Cheng, Tuo Zhao, Jing Gao:
BlendFilter: Advancing Retrieval-Augmented Large Language Models via Query Generation Blending and Knowledge Filtering. EMNLP 2024: 1009-1025 - [c163]Xiaoze Liu, Ting Sun, Tianyang Xu, Feijie Wu, Cunxiang Wang, Xiaoqian Wang, Jing Gao:
SHIELD: Evaluation and Defense Strategies for Copyright Compliance in LLM Text Generation. EMNLP 2024: 1640-1670 - [c162]Tianyang Xu, Shujin Wu, Shizhe Diao, Xiaoze Liu, Xingyao Wang, Yangyi Chen, Jing Gao:
SaySelf: Teaching LLMs to Express Confidence with Self-Reflective Rationales. EMNLP 2024: 5985-5998 - [c161]Haoyu Wang, Ruirui Li, Zhengyang Wang, Xianfeng Tang, Danqing Zhang, Monica Xiao Cheng, Bing Yin, Jasha Droppo, Suhang Wang, Jing Gao:
LightLT: A Lightweight Representation Quantization Framework for Long-Tail Data. ICDE 2024: 1380-1393 - [c160]Tianci Liu, Haoyu Wang, Feijie Wu, Hengtong Zhang, Pan Li, Lu Su, Jing Gao:
Towards Poisoning Fair Representations. ICLR 2024 - [c159]Tianci Liu, Haoyu Wang, Shiyang Wang, Yu Cheng, Jing Gao:
LIDAO: Towards Limited Interventions for Debiasing (Large) Language Models. ICML 2024 - [c158]Feijie Wu, Zitao Li, Yaliang Li, Bolin Ding, Jing Gao:
FedBiOT: LLM Local Fine-tuning in Federated Learning without Full Model. KDD 2024: 3345-3355 - [e1]Shashi Shekhar, Vagelis Papalexakis, Jing Gao, Zhe Jiang, Matteo Riondato:
Proceedings of the 2024 SIAM International Conference on Data Mining, SDM 2024, Houston, TX, USA, April 18-20, 2024. SIAM 2024, ISBN 978-1-61197-803-2 [contents] - [i32]Xiaoze Liu, Feijie Wu, Tianyang Xu, Zhuo Chen, Yichi Zhang, Xiaoqian Wang, Jing Gao:
Evaluating the Factuality of Large Language Models using Large-Scale Knowledge Graphs. CoRR abs/2404.00942 (2024) - [i31]Tianyang Xu, Shujin Wu, Shizhe Diao, Xiaoze Liu, Xingyao Wang, Yangyi Chen, Jing Gao:
SaySelf: Teaching LLMs to Express Confidence with Self-Reflective Rationales. CoRR abs/2405.20974 (2024) - [i30]Tianci Liu, Haoyu Wang, Shiyang Wang, Yu Cheng, Jing Gao:
LIDAO: Towards Limited Interventions for Debiasing (Large) Language Models. CoRR abs/2406.00548 (2024) - [i29]Haoyu Wang, Tianci Liu, Tuo Zhao, Jing Gao:
RoseLoRA: Row and Column-wise Sparse Low-rank Adaptation of Pre-trained Language Model for Knowledge Editing and Fine-tuning. CoRR abs/2406.10777 (2024) - [i28]Xiaoze Liu, Ting Sun, Tianyang Xu, Feijie Wu, Cunxiang Wang, Xiaoqian Wang, Jing Gao:
SHIELD: Evaluation and Defense Strategies for Copyright Compliance in LLM Text Generation. CoRR abs/2406.12975 (2024) - [i27]Feijie Wu, Zitao Li, Yaliang Li, Bolin Ding, Jing Gao:
FedBiOT: LLM Local Fine-tuning in Federated Learning without Full Model. CoRR abs/2406.17706 (2024) - [i26]Feijie Wu, Xiaoze Liu, Haoyu Wang, Xingchen Wang, Jing Gao:
On the Client Preference of LLM Fine-tuning in Federated Learning. CoRR abs/2407.03038 (2024) - [i25]Feijie Wu, Xingchen Wang, Yaqing Wang, Tianci Liu, Lu Su, Jing Gao:
FIARSE: Model-Heterogeneous Federated Learning via Importance-Aware Submodel Extraction. CoRR abs/2407.19389 (2024) - [i24]Zeyu Zhou, Tianci Liu, Ruqi Bai, Jing Gao, Murat Kocaoglu, David I. Inouye:
Counterfactual Fairness by Combining Factual and Counterfactual Predictions. CoRR abs/2409.01977 (2024) - 2023
- [j31]Hengtong Zhang, Yaliang Li, Bolin Ding, Jing Gao:
LOKI: A Practical Data Poisoning Attack Framework Against Next Item Recommendations. IEEE Trans. Knowl. Data Eng. 35(5): 5047-5059 (2023) - [j30]Liuyi Yao, Yaliang Li, Sheng Li, Jinduo Liu, Mengdi Huai, Aidong Zhang, Jing Gao:
Concept-Level Model Interpretation From the Causal Aspect. IEEE Trans. Knowl. Data Eng. 35(9): 8799-8810 (2023) - [c157]Tianci Liu, Haoyu Wang, Yaqing Wang, Xiaoqian Wang, Lu Su, Jing Gao:
SimFair: A Unified Framework for Fairness-Aware Multi-Label Classification. AAAI 2023: 14338-14346 - [c156]Rui Li, Andrew Wen, Jing Gao, Hongfang Liu:
MLGAN: a Meta-Learning based Generative Adversarial Network adapter for rare disease differentiation tasks. BCB 2023: 11:1-11:10 - [c155]Haoyu Wang, Yaqing Wang, Tianci Liu, Tuo Zhao, Jing Gao:
HadSkip: Homotopic and Adaptive Layer Skipping of Pre-trained Language Models for Efficient Inference. EMNLP (Findings) 2023: 4283-4294 - [c154]Haoyu Wang, Yaqing Wang, Huaxiu Yao, Jing Gao:
Macedon: Minimizing Representation Coding Rate Reduction for Cross-Lingual Natural Language Understanding. EMNLP (Findings) 2023: 12426-12436 - [c153]Feijie Wu, Song Guo, Zhihao Qu, Shiqi He, Ziming Liu, Jing Gao:
Anchor Sampling for Federated Learning with Partial Client Participation. ICML 2023: 37379-37416 - [c152]Haoyu Wang, Ruirui Li, Haoming Jiang, Zhengyang Wang, Xianfeng Tang, Bin Bi, Monica Xiao Cheng, Bing Yin, Yaqing Wang, Tuo Zhao, Jing Gao:
LightToken: A Task and Model-agnostic Lightweight Token Embedding Framework for Pre-trained Language Models. KDD 2023: 2302-2313 - [c151]Haoyu Wang, Yaqing Wang, Feijie Wu, Hongfei Xue, Jing Gao:
Macular: A Multi-Task Adversarial Framework for Cross-Lingual Natural Language Understanding. KDD 2023: 5061-5070 - [c150]Liuyi Yao, Yaliang Li, Bolin Ding, Jingren Zhou, Jinduo Liu, Mengdi Huai, Jing Gao:
Path-specific Causal Fair Prediction via Auxiliary Graph Structure Learning. WWW 2023: 3680-3688 - [i23]Tianci Liu, Haoyu Wang, Yaqing Wang, Xiaoqian Wang, Lu Su, Jing Gao:
SimFair: A Unified Framework for Fairness-Aware Multi-Label Classification. CoRR abs/2302.09683 (2023) - [i22]Tianci Liu, Haoyu Wang, Feijie Wu, Hengtong Zhang, Pan Li, Lu Su, Jing Gao:
Towards Poisoning Fair Representations. CoRR abs/2309.16487 (2023) - 2022
- [j29]Chuishi Meng, Yu Cui, Qing He, Lu Su, Jing Gao:
Towards the Inference of Travel Purpose with Heterogeneous Urban Data. IEEE Trans. Big Data 8(1): 166-177 (2022) - [j28]Chen Ye, Hongzhi Wang, Kangjie Zheng, YouKang Kong, Rong Zhu, Jing Gao, Jianzhong Li:
Constrained Truth Discovery. IEEE Trans. Knowl. Data Eng. 34(1): 205-218 (2022) - [c149]Yaqing Wang, Sahaj Agarwal, Subhabrata Mukherjee, Xiaodong Liu, Jing Gao, Ahmed Hassan Awadallah, Jianfeng Gao:
AdaMix: Mixture-of-Adaptations for Parameter-efficient Model Tuning. EMNLP 2022: 5744-5760 - [c148]Tianqi Wang, Fenglong Ma, Yaqing Wang, Jing Gao:
Heterogeneous Information Enhanced Prerequisite Learning in Massive Open Online Courses. ICDM 2022: 1203-1208 - [c147]Rui Li, Jing Gao:
Multi-modal Contrastive Learning for Healthcare Data Analytics. ICHI 2022: 120-127 - [c146]Pamela Bhattacharya, Jing Gao, Meng Jiang, Mehran Kafai, Srijan Kumar, Qi Li, Neil Shah, Sihong Xie, Philip S. Yu, Ming Zeng:
Joint International Workshop on Misinformation and Misbehavior Mining on the Web & Making a Credible Web for Tomorrow (MIS2-TrueFact). KDD 2022: 4854-4855 - [c145]Yaqing Wang, Subhabrata Mukherjee, Xiaodong Liu, Jing Gao, Ahmed Awadallah, Jianfeng Gao:
LiST: Lite Prompted Self-training Makes Parameter-efficient Few-shot Learners. NAACL-HLT (Findings) 2022: 2262-2281 - [c144]Tianqi Wang, Fenglong Ma, Tang Tang, Longfei Zhang, Jing Gao:
Textbook Enhanced Student Learning Outcome Prediction. SDM 2022: 352-360 - [c143]Haoyu Wang, Handong Zhao, Yaqing Wang, Tong Yu, Jiuxiang Gu, Jing Gao:
FedKC: Federated Knowledge Composition for Multilingual Natural Language Understanding. WWW 2022: 1839-1850 - [i21]Yaqing Wang, Subhabrata Mukherjee, Xiaodong Liu, Jing Gao, Ahmed Hassan Awadallah, Jianfeng Gao:
AdaMix: Mixture-of-Adapter for Parameter-efficient Tuning of Large Language Models. CoRR abs/2205.12410 (2022) - 2021
- [j27]Chen Ye, Hongzhi Wang, Wenbo Lu, Jing Gao, Guojun Dai:
Deep truth discovery for pattern-based fact extraction. Inf. Sci. 580: 478-494 (2021) - [j26]Liuyi Yao, Zhixuan Chu, Sheng Li, Yaliang Li, Jing Gao, Aidong Zhang:
A Survey on Causal Inference. ACM Trans. Knowl. Discov. Data 15(5): 74:1-74:46 (2021) - [c142]Rui Li, Fenglong Ma, Jing Gao:
Integrating Multimodal Electronic Health Records for Diagnosis Prediction. AMIA 2021 - [c141]Haoyu Wang, Xuan Wang, Yaqing Wang, Guangxu Xun, Kishlay Jha, Jing Gao:
InterHG: an Interpretable and Accurate Model for Hypothesis Generation. BIBM 2021: 1552-1557 - [c140]Haoyu Wang, Yaqing Wang, Defu Lian, Jing Gao:
A Lightweight Knowledge Graph Embedding Framework for Efficient Inference and Storage. CIKM 2021: 1909-1918 - [c139]Liuyi Yao, Yaliang Li, Sheng Li, Mengdi Huai, Jing Gao, Aidong Zhang:
SCI: Subspace Learning Based Counterfactual Inference for Individual Treatment Effect Estimation. CIKM 2021: 3583-3587 - [c138]Haoyu Wang, Fenglong Ma, Yaqing Wang, Jing Gao:
Knowledge-Guided Paraphrase Identification. EMNLP (Findings) 2021: 843-853 - [c137]Yaqing Wang, Haoda Chu, Chao Zhang, Jing Gao:
Learning from Language Description: Low-shot Named Entity Recognition via Decomposed Framework. EMNLP (Findings) 2021: 1618-1630 - [c136]Hengtong Zhang, Tianhang Zheng, Yaliang Li, Jing Gao, Lu Su, Bo Li:
Profanity-Avoiding Training Framework for Seq2seq Models with Certified Robustness. EMNLP (1) 2021: 5151-5161 - [c135]Chen Ye, Hongzhi Wang, Kangjie Zheng, YouKang Kong, Rong Zhu, Jing Gao, Jianzhong Li:
Constrained Truth Discovery (Extended Abstract). ICDE 2021: 2356-2357 - [c134]Liuyi Yao, Zijun Yao, Jianying Hu, Jing Gao, Zhaonan Sun:
Deep Staging: An Interpretable Deep Learning Framework for Disease Staging. ICHI 2021: 130-137 - [c133]Tianqi Wang, Lei Lin, Jing Gao:
Explainable Multi-task Flight Arrival Delay Prediction. ITSC 2021: 1445-1450 - [c132]Yaqing Wang, Subhabrata Mukherjee, Haoda Chu, Yuancheng Tu, Ming Wu, Jing Gao, Ahmed Hassan Awadallah:
Meta Self-training for Few-shot Neural Sequence Labeling. KDD 2021: 1737-1747 - [c131]Hengtong Zhang, Changxin Tian, Yaliang Li, Lu Su, Nan Yang, Wayne Xin Zhao, Jing Gao:
Data Poisoning Attack against Recommender System Using Incomplete and Perturbed Data. KDD 2021: 2154-2164 - [c130]Hengtong Zhang, Jing Gao, Lu Su:
Data Poisoning Attacks Against Outcome Interpretations of Predictive Models. KDD 2021: 2165-2173 - [c129]Yaqing Wang, Fenglong Ma, Haoyu Wang, Kishlay Jha, Jing Gao:
Multimodal Emergent Fake News Detection via Meta Neural Process Networks. KDD 2021: 3708-3716 - [c128]Subhabrata Mukherjee, Qi Li, Sihong Xie, Philip S. Yu, Jing Gao:
The Third International TrueFact Workshop: Making a Credible Web for Tomorrow. KDD 2021: 4143-4144 - [c127]Xiaoxuan Hu, Hengtong Zhang, Wayne Xin Zhao, Yaliang Li, Jing Gao, Ji-Rong Wen:
RAST: A Reward Augmented Model for Fine-Grained Sentiment Transfer. NLPCC (1) 2021: 196-209 - [c126]Haoyu Wang, Hengtong Zhang, Yaqing Wang, Jing Gao:
Fair Classification Under Strict Unawareness. SDM 2021: 199-207 - [c125]Tianqi Wang, Fenglong Ma, Yaqing Wang, Tang Tang, Longfei Zhang, Jing Gao:
Towards Learning Outcome Prediction via Modeling Question Explanations and Student Responses. SDM 2021: 693-701 - [i20]Haoyu Liu, Fenglong Ma, Shibo He, Jiming Chen, Jing Gao:
Fairness-aware Outlier Ensemble. CoRR abs/2103.09419 (2021) - [i19]Yaqing Wang, Fenglong Ma, Haoyu Wang, Kishlay Jha, Jing Gao:
Multimodal Emergent Fake News Detection via Meta Neural Process Networks. CoRR abs/2106.13711 (2021) - [i18]Yaqing Wang, Haoda Chu, Chao Zhang, Jing Gao:
Learning from Language Description: Low-shot Named Entity Recognition via Decomposed Framework. CoRR abs/2109.05357 (2021) - [i17]Yaqing Wang, Subhabrata Mukherjee, Xiaodong Liu, Jing Gao, Ahmed Hassan Awadallah, Jianfeng Gao:
LiST: Lite Self-training Makes Efficient Few-shot Learners. CoRR abs/2110.06274 (2021) - 2020
- [j25]Chen Ye, Hongzhi Wang, Kangjie Zheng, Jing Gao, Jianzhong Li:
Multi-source data repairing powered by integrity constraints and source reliability. Inf. Sci. 507: 386-403 (2020) - [j24]Yaliang Li, Chaochun Liu, Nan Du, Wei Fan, Qi Li, Jing Gao, Chenwei Zhang, Hao Wu:
Extracting Medical Knowledge from Crowdsourced Question Answering Website. IEEE Trans. Big Data 6(2): 309-321 (2020) - [c124]Yaqing Wang, Weifeng Yang, Fenglong Ma, Jin Xu, Bin Zhong, Qiang Deng, Jing Gao:
Weak Supervision for Fake News Detection via Reinforcement Learning. AAAI 2020: 516-523 - [c123]Yaqing Wang, Fenglong Ma, Jing Gao:
Efficient Knowledge Graph Validation via Cross-Graph Representation Learning. CIKM 2020: 1595-1604 - [c122]Yaliang Li, Houping Xiao, Zhan Qin, Chenglin Miao, Lu Su, Jing Gao, Kui Ren, Bolin Ding:
Towards Differentially Private Truth Discovery for Crowd Sensing Systems. ICDCS 2020: 1156-1166 - [c121]Haoyu Liu, Fenglong Ma, Yaqing Wang, Shibo He, Jiming Chen, Jing Gao:
LP-Explain: Local Pictorial Explanation for Outliers. ICDM 2020: 372-381 - [c120]Yaqing Wang, Yifan Ethan Xu, Xian Li, Xin Luna Dong, Jing Gao:
Automatic Validation of Textual Attribute Values in E-commerce Catalog by Learning with Limited Labeled Data. KDD 2020: 2533-2541 - [c119]Peng Cui, Zheyan Shen, Sheng Li, Liuyi Yao, Yaliang Li, Zhixuan Chu, Jing Gao:
Causal Inference Meets Machine Learning. KDD 2020: 3527-3528 - [c118]Fenglong Ma, Yaqing Wang, Jing Gao, Houping Xiao, Jing Zhou:
Rare Disease Prediction by Generating Quality-Assured Electronic Health Records. SDM 2020: 514-522 - [c117]Hengtong Zhang, Yaliang Li, Bolin Ding, Jing Gao:
Practical Data Poisoning Attack against Next-Item Recommendation. WWW 2020: 2458-2464 - [i16]Liuyi Yao, Zhixuan Chu, Sheng Li, Yaliang Li, Jing Gao, Aidong Zhang:
A Survey on Causal Inference. CoRR abs/2002.02770 (2020) - [i15]Hengtong Zhang, Yaliang Li, Bolin Ding, Jing Gao:
Practical Data Poisoning Attack against Next-Item Recommendation. CoRR abs/2004.03728 (2020) - [i14]Alexander Hanbo Li, Yaqing Wang, Changyou Chen, Jing Gao:
Decomposed Adversarial Learned Inference. CoRR abs/2004.10267 (2020) - [i13]Yaqing Wang, Yifan Ethan Xu, Xian Li, Xin Luna Dong, Jing Gao:
Automatic Validation of Textual Attribute Values in E-commerce Catalog by Learning with Limited Labeled Data. CoRR abs/2006.08779 (2020) - [i12]Yaqing Wang, Fenglong Ma, Jing Gao:
Efficient Knowledge Graph Validation via Cross-Graph Representation Learning. CoRR abs/2008.06995 (2020) - [i11]Yaqing Wang, Subhabrata Mukherjee, Haoda Chu, Yuancheng Tu, Ming Wu, Jing Gao, Ahmed Hassan Awadallah:
Adaptive Self-training for Few-shot Neural Sequence Labeling. CoRR abs/2010.03680 (2020)
2010 – 2019
- 2019
- [j23]Chen Ye, Qi Li, Hengtong Zhang, Hongzhi Wang, Jing Gao, Jianzhong Li:
AutoRepair: an automatic repairing approach over multi-source data. Knowl. Inf. Syst. 61(1): 227-257 (2019) - [j22]Chen Ye, Hongzhi Wang, Tingting Ma, Jing Gao, Hengtong Zhang, Jianzhong Li:
PatternFinder: Pattern discovery for truth discovery. Knowl. Based Syst. 176: 97-109 (2019) - [j21]Fenglong Ma, Yaqing Wang, Houping Xiao, Ye Yuan, Radha Chitta, Jing Zhou, Jing Gao:
Incorporating medical code descriptions for diagnosis prediction in healthcare. BMC Medical Informatics Decis. Mak. 19-S(6): 267 (2019) - [j20]Houping Xiao, Jing Gao, Qi Li, Fenglong Ma, Lu Su, Yunlong Feng, Aidong Zhang:
Towards Confidence Interval Estimation in Truth Discovery. IEEE Trans. Knowl. Data Eng. 31(3): 575-588 (2019) - [j19]Chenglin Miao, Wenjun Jiang, Lu Su, Yaliang Li, Suxin Guo, Zhan Qin, Houping Xiao, Jing Gao, Kui Ren:
Privacy-Preserving Truth Discovery in Crowd Sensing Systems. ACM Trans. Sens. Networks 15(1): 9:1-9:32 (2019) - [c116]Fenglong Ma, Shiran Zhong, Jing Gao, Ling Bian:
Influenza-Like Symptom Prediction by Analyzing Self-Reported Health Status and Human Mobility Behaviors. BCB 2019: 233-242 - [c115]Rui Li, Fenglong Ma, Wenjun Jiang, Jing Gao:
Online Federated Multitask Learning. IEEE BigData 2019: 215-220 - [c114]Tianqi Wang, Houping Xiao, Fenglong Ma, Jing Gao:
IProWA: A Novel Probabilistic Graphical Model for Crowdsourcing Aggregation. IEEE BigData 2019: 677-682 - [c113]Tianqi Wang, Qi Li, Jing Gao, Xia Jing, Jie Tang:
Improving Peer Assessment Accuracy by Incorporating Relative Peer Grades. EDM 2019 - [c112]Tianqi Wang, Fenglong Ma, Jing Gao:
Deep Hierarchical Knowledge Tracing. EDM 2019 - [c111]Liuyi Yao, Sheng Li, Yaliang Li, Mengdi Huai, Jing Gao, Aidong Zhang:
ACE: Adaptively Similarity-Preserved Representation Learning for Individual Treatment Effect Estimation. ICDM 2019: 1432-1437 - [c110]Qiuling Suo, Weida Zhong, Fenglong Ma, Ye Yuan, Jing Gao, Aidong Zhang:
Metric Learning on Healthcare Data with Incomplete Modalities. IJCAI 2019: 3534-3540 - [c109]Liuyi Yao, Sheng Li, Yaliang Li, Hongfei Xue, Jing Gao, Aidong Zhang:
On the Estimation of Treatment Effect with Text Covariates. IJCAI 2019: 4106-4113 - [c108]Hengtong Zhang, Tianhang Zheng, Jing Gao, Chenglin Miao, Lu Su, Yaliang Li, Kui Ren:
Data Poisoning Attack against Knowledge Graph Embedding. IJCAI 2019: 4853-4859 - [c107]Yao Zhou, Fenglong Ma, Jing Gao, Jingrui He:
Optimizing the Wisdom of the Crowd: Inference, Learning, and Teaching. KDD 2019: 3231-3232 - [c106]Liuyi Yao, Yaliang Li, Yezheng Li, Hengtong Zhang, Mengdi Huai, Jing Gao, Aidong Zhang:
DTEC: Distance Transformation Based Early Time Series Classification. SDM 2019: 486-494 - [c105]Fenglong Ma, Yaliang Li, Chenwei Zhang, Jing Gao, Nan Du, Wei Fan:
MCVAE: Margin-based Conditional Variational Autoencoder for Relation Classification and Pattern Generation. WWW 2019: 3041-3048 - [i10]Hengtong Zhang, Tianhang Zheng, Jing Gao, Chenglin Miao, Lu Su, Yaliang Li, Kui Ren:
Towards Data Poisoning Attack against Knowledge Graph Embedding. CoRR abs/1904.12052 (2019) - [i9]Yaqing Wang, Weifeng Yang, Fenglong Ma, Jin Xu, Bin Zhong, Qiang Deng, Jing Gao:
Weak Supervision for Fake News Detection via Reinforcement Learning. CoRR abs/1912.12520 (2019) - 2018
- [j18]Wenjun Jiang, Chenglin Miao, Lu Su, Qi Li, Shaohan Hu, Shiguang Wang, Jing Gao, Hengchang Liu, Tarek F. Abdelzaher, Jiawei Han, Xue (Steve) Liu, Yan Gao, Lance M. Kaplan:
Towards Quality Aware Information Integration in Distributed Sensing Systems. IEEE Trans. Parallel Distributed Syst. 29(1): 198-211 (2018) - [c104]Hengtong Zhang, Fenglong Ma, Yaliang Li, Chao Zhang, Tianqi Wang, Yaqing Wang, Jing Gao, Lu Su:
Leveraging the Power of Informative Users for Local Event Detection. ASONAM 2018: 429-436 - [c103]Fenglong Ma, Yaqing Wang, Houping Xiao, Ye Yuan, Radha Chitta, Jing Zhou, Jing Gao:
A General Framework for Diagnosis Prediction via Incorporating Medical Code Descriptions. BIBM 2018: 1070-1075 - [c102]Fenglong Ma, Quanzeng You, Houping Xiao, Radha Chitta, Jing Zhou, Jing Gao:
KAME: Knowledge-based Attention Model for Diagnosis Prediction in Healthcare. CIKM 2018: 743-752 - [c101]Houping Xiao, Fei Wang, Fenglong Ma, Jing Gao:
eOTD: An Efficient Online Tucker Decomposition for Higher Order Tensors. ICDM 2018: 1326-1331 - [c100]Yaqing Wang, Fenglong Ma, Zhiwei Jin, Ye Yuan, Guangxu Xun, Kishlay Jha, Lu Su, Jing Gao:
EANN: Event Adversarial Neural Networks for Multi-Modal Fake News Detection. KDD 2018: 849-857 - [c99]Qi Li, Meng Jiang, Xikun Zhang, Meng Qu, Timothy P. Hanratty, Jing Gao, Jiawei Han:
TruePIE: Discovering Reliable Patterns in Pattern-Based Information Extraction. KDD 2018: 1675-1684 - [c98]Yaliang Li, Chenglin Miao, Lu Su, Jing Gao, Qi Li, Bolin Ding, Zhan Qin, Kui Ren:
An Efficient Two-Layer Mechanism for Privacy-Preserving Truth Discovery. KDD 2018: 1705-1714 - [c97]Fenglong Ma, Jing Gao, Qiuling Suo, Quanzeng You, Jing Zhou, Aidong Zhang:
Risk Prediction on Electronic Health Records with Prior Medical Knowledge. KDD 2018: 1910-1919 - [c96]Hengtong Zhang, Yaliang Li, Fenglong Ma, Jing Gao, Lu Su:
TextTruth: An Unsupervised Approach to Discover Trustworthy Information from Multi-Sourced Text Data. KDD 2018: 2729-2737 - [c95]Liuyi Yao, Sheng Li, Yaliang Li, Mengdi Huai, Jing Gao, Aidong Zhang:
Representation Learning for Treatment Effect Estimation from Observational Data. NeurIPS 2018: 2638-2648 - [c94]Liuyi Yao, Lu Su, Qi Li, Yaliang Li, Fenglong Ma, Jing Gao, Aidong Zhang:
Online Truth Discovery on Time Series Data. SDM 2018: 162-170 - [c93]Mengdi Huai, Chenglin Miao, Qiuling Suo, Yaliang Li, Jing Gao, Aidong Zhang:
Uncorrelated Patient Similarity Learning. SDM 2018: 270-278 - [c92]Qiuling Suo, Fenglong Ma, Giovanni Canino, Jing Gao, Aidong Zhang, Agostino Gnasso, Giuseppe Tradigo, Pierangelo Veltri:
An Attention-based Recurrent Neural Networks Framework for Health Data Analysis. SEBD 2018 - [c91]Chenglin Miao, Qi Li, Lu Su, Mengdi Huai, Wenjun Jiang, Jing Gao:
Attack under Disguise: An Intelligent Data Poisoning Attack Mechanism in Crowdsourcing. WWW 2018: 13-22 - [i8]Zhenhua Zhang, Qing He, Jing Gao, Ming Ni:
A deep learning approach for detecting traffic accidents from social media data. CoRR abs/1801.01528 (2018) - [i7]Yaliang Li, Houping Xiao, Zhan Qin, Chenglin Miao, Lu Su, Jing Gao, Kui Ren, Bolin Ding:
Towards Differentially Private Truth Discovery for Crowd Sensing Systems. CoRR abs/1810.04760 (2018) - [i6]Yaliang Li, Liuyi Yao, Nan Du, Jing Gao, Qi Li, Chuishi Meng, Chenwei Zhang, Wei Fan:
Finding Similar Medical Questions from Question Answering Websites. CoRR abs/1810.05983 (2018) - 2017
- [j17]Ming Ni, Qing He, Jing Gao:
Forecasting the Subway Passenger Flow Under Event Occurrences With Social Media. IEEE Trans. Intell. Transp. Syst. 18(6): 1623-1632 (2017) - [j16]Yaliang Li, Jing Gao, Patrick P. C. Lee, Lu Su, Caifeng He, Cheng He, Fan Yang, Wei Fan:
A Weighted Crowdsourcing Approach for Network Quality Measurement in Cellular Data Networks. IEEE Trans. Mob. Comput. 16(2): 300-313 (2017) - [c90]Qiuling Suo, Fenglong Ma, Giovanni Canino, Jing Gao, Aidong Zhang, Pierangelo Veltri, Agostino Gnasso:
A Multi-task Framework for Monitoring Health Conditions via Attention-based Recurrent Neural Networks. AMIA 2017 - [c89]Qiuling Suo, Fenglong Ma, Ye Yuan, Mengdi Huai, Weida Zhong, Aidong Zhang, Jing Gao:
Personalized disease prediction using a CNN-based similarity learning method. BIBM 2017: 811-816 - [c88]Chuishi Meng, Yu Cui, Qing He, Lu Su, Jing Gao:
Travel purpose inference with GPS trajectories, POIs, and geo-tagged social media data. IEEE BigData 2017: 1319-1324 - [c87]Chuishi Meng, Xiuwen Yi, Lu Su, Jing Gao, Yu Zheng:
City-wide Traffic Volume Inference with Loop Detector Data and Taxi Trajectories. SIGSPATIAL/GIS 2017: 1:1-1:10 - [c86]Yaqing Wang, Fenglong Ma, Lu Su, Jing Gao:
Discovering Truths from Distributed Data. ICDM 2017: 505-514 - [c85]Fenglong Ma, Radha Chitta, Saurabh Kataria, Jing Zhou, Palghat Ramesh, Tong Sun, Jing Gao:
Long-Term Memory Networks for Question Answering. SML@IJCAI 2017: 7-14 - [c84]Guangxu Xun, Yaliang Li, Wayne Xin Zhao, Jing Gao, Aidong Zhang:
A Correlated Topic Model Using Word Embeddings. IJCAI 2017: 4207-4213 - [c83]Guangxu Xun, Yaliang Li, Jing Gao, Aidong Zhang:
Collaboratively Improving Topic Discovery and Word Embeddings by Coordinating Global and Local Contexts. KDD 2017: 535-543 - [c82]Fenglong Ma, Chuishi Meng, Houping Xiao, Qi Li, Jing Gao, Lu Su, Aidong Zhang:
Unsupervised Discovery of Drug Side-Effects from Heterogeneous Data Sources. KDD 2017: 967-976 - [c81]Fenglong Ma, Radha Chitta, Jing Zhou, Quanzeng You, Tong Sun, Jing Gao:
Dipole: Diagnosis Prediction in Healthcare via Attention-based Bidirectional Recurrent Neural Networks. KDD 2017: 1903-1911 - [c80]Houping Xiao, Jing Gao, Long H. Vu, Deepak S. Turaga:
Learning Temporal State of Diabetes Patients via Combining Behavioral and Demographic Data. KDD 2017: 2081-2089 - [c79]Houping Xiao, Jing Gao, Long H. Vu, Deepak S. Turaga:
Detecting Malicious Behavior in Computer Networks via Cost-Sensitive and Connectivity Constrained Classification. SDM 2017: 117-125 - [c78]Yaliang Li, Nan Du, Chaochun Liu, Yusheng Xie, Wei Fan, Qi Li, Jing Gao, Huan Sun:
Reliable Medical Diagnosis from Crowdsourcing: Discover Trustworthy Answers from Non-Experts. WSDM 2017: 253-261 - [i5]Fenglong Ma, Radha Chitta, Jing Zhou, Quanzeng You, Tong Sun, Jing Gao:
Dipole: Diagnosis Prediction in Healthcare via Attention-based Bidirectional Recurrent Neural Networks. CoRR abs/1706.05764 (2017) - [i4]Fenglong Ma, Radha Chitta, Saurabh Kataria, Jing Zhou, Palghat Ramesh, Tong Sun, Jing Gao:
Long-Term Memory Networks for Question Answering. CoRR abs/1707.01961 (2017) - 2016
- [j15]Yaliang Li, Qi Li, Jing Gao, Lu Su, Bo Zhao, Wei Fan, Jiawei Han:
Conflicts to Harmony: A Framework for Resolving Conflicts in Heterogeneous Data by Truth Discovery. IEEE Trans. Knowl. Data Eng. 28(8): 1986-1999 (2016) - [c77]Qiuling Suo, Hongfei Xue, Jing Gao, Aidong Zhang:
Risk Factor Analysis Based on Deep Learning Models. BCB 2016: 394-403 - [c76]Hengtong Zhang, Qi Li, Fenglong Ma, Houping Xiao, Yaliang Li, Jing Gao, Lu Su:
Influence-Aware Truth Discovery. CIKM 2016: 851-860 - [c75]Chenwei Zhang, Sihong Xie, Yaliang Li, Jing Gao, Wei Fan, Philip S. Yu:
Multi-source Hierarchical Prediction Consolidation. CIKM 2016: 2251-2256 - [c74]Guangxu Xun, Vishrawas Gopalakrishnan, Fenglong Ma, Yaliang Li, Jing Gao, Aidong Zhang:
Topic Discovery for Short Texts Using Word Embeddings. ICDM 2016: 1299-1304 - [c73]Christopher J. Quinn, Ali Pinar, Jing Gao, Lu Su:
Sparse approximations of directed information graphs. ISIT 2016: 1735-1739 - [c72]Mengting Wan, Xiangyu Chen, Lance M. Kaplan, Jiawei Han, Jing Gao, Bo Zhao:
From Truth Discovery to Trustworthy Opinion Discovery: An Uncertainty-Aware Quantitative Modeling Approach. KDD 2016: 1885-1894 - [c71]Houping Xiao, Jing Gao, Zhaoran Wang, Shiyu Wang, Lu Su, Han Liu:
A Truth Discovery Approach with Theoretical Guarantee. KDD 2016: 1925-1934 - [c70]Houping Xiao, Jing Gao, Qi Li, Fenglong Ma, Lu Su, Yunlong Feng, Aidong Zhang:
Towards Confidence in the Truth: A Bootstrapping based Truth Discovery Approach. KDD 2016: 1935-1944 - [c69]Jing Gao, Qi Li, Bo Zhao, Wei Fan, Jiawei Han:
Mining Reliable Information from Passively and Actively Crowdsourced Data. KDD 2016: 2121-2122 - [c68]Sihong Xie, Qingbo Hu, Weixiang Shao, Jingyuan Zhang, Jing Gao, Wei Fan, Philip S. Yu:
Effective Crowd Expertise Modeling via Cross Domain Sparsity and Uncertainty Reduction. SDM 2016: 648-656 - [c67]Qi Li, Fenglong Ma, Jing Gao, Lu Su, Christopher J. Quinn:
Crowdsourcing High Quality Labels with a Tight Budget. WSDM 2016: 237-246 - [i3]Chenwei Zhang, Sihong Xie, Yaliang Li, Jing Gao, Wei Fan, Philip S. Yu:
Multi-source Hierarchical Prediction Consolidation. CoRR abs/1608.03344 (2016) - 2015
- [j14]Jie Liu, Linlin Qin, Jing Gao, Aidong Zhang:
A Similarity-Based Concepts Mapping Method between Ontologies. IEICE Trans. Inf. Syst. 98-D(5): 1062-1072 (2015) - [j13]Xian Wu, Wei Fan, Jing Gao, Ziming Feng, Yong Yu:
Detecting Marionette Microblog Users for Improved Information Credibility. J. Comput. Sci. Technol. 30(5): 1082-1096 (2015) - [j12]Jing Gao, Qi Li, Bo Zhao, Wei Fan, Jiawei Han:
Truth Discovery and Crowdsourcing Aggregation: A Unified Perspective. Proc. VLDB Endow. 8(12): 2048-2049 (2015) - [j11]Yaliang Li, Jing Gao, Chuishi Meng, Qi Li, Lu Su, Bo Zhao, Wei Fan, Jiawei Han:
A Survey on Truth Discovery. SIGKDD Explor. 17(2): 1-16 (2015) - [j10]Nan Du, Xiaowei Jia, Jing Gao, Vishrawas Gopalakrishnan, Aidong Zhang:
Tracking Temporal Community Strength in Dynamic Networks. IEEE Trans. Knowl. Data Eng. 27(11): 3125-3137 (2015) - [c66]Nan Du, Jing Gao, Liang Ge, Vishrawas Gopalakrishnan, Xiaowei Jia, Kang Li, Aidong Zhang:
Significant Edge Detection in Target Network by Exploring Multiple Auxiliary Networks. ASONAM 2015: 210-217 - [c65]Sihong Xie, Qingbo Hu, Jingyuan Zhang, Jing Gao, Wei Fan, Philip S. Yu:
Robust crowd bias correction via dual knowledge transfer from multiple overlapping sources. IEEE BigData 2015: 815-820 - [c64]Xiaoyi Li, Xiaowei Jia, Hui Li, Houping Xiao, Jing Gao, Aidong Zhang:
DRN: Bringing Greedy Layer-Wise Training into Time Dimension. ICDM 2015: 859-864 - [c63]Fenglong Ma, Jing Gao:
Probabilistic Models for Fine-Grained Truth Discovery from Crowdsourced Data. ICDM Workshops 2015: 1556-1557 - [c62]Houping Xiao, Jing Gao:
Multi-source Information Trustworthiness Analysis. ICDM Workshops 2015: 1600-1601 - [c61]Yaliang Li, Qi Li, Jing Gao, Lu Su, Bo Zhao, Wei Fan, Jiawei Han:
On the Discovery of Evolving Truth. KDD 2015: 675-684 - [c60]Fenglong Ma, Yaliang Li, Qi Li, Minghui Qiu, Jing Gao, Shi Zhi, Lu Su, Bo Zhao, Heng Ji, Jiawei Han:
FaitCrowd: Fine Grained Truth Discovery for Crowdsourced Data Aggregation. KDD 2015: 745-754 - [c59]Shi Zhi, Bo Zhao, Wenzhu Tong, Jing Gao, Dian Yu, Heng Ji, Jiawei Han:
Modeling Truth Existence in Truth Discovery. KDD 2015: 1543-1552 - [c58]Kang Li, Jing Gao, Suxin Guo, Nan Du, Aidong Zhang:
Functional Node Detection on Linked Data. SDM 2015: 1-9 - [c57]Jialu Liu, Chi Wang, Jing Gao, Quanquan Gu, Charu C. Aggarwal, Lance M. Kaplan, Jiawei Han:
GIN: A Clustering Model for Capturing Dual Heterogeneity in Networked Data. SDM 2015: 388-396 - [c56]Houping Xiao, Yaliang Li, Jing Gao, Fei Wang, Liang Ge, Wei Fan, Long H. Vu, Deepak S. Turaga:
Believe It Today or Tomorrow? Detecting Untrustworthy Information from Dynamic Multi-Source Data. SDM 2015: 397-405 - [c55]Bowen Dong, Sihong Xie, Jing Gao, Wei Fan, Philip S. Yu:
OnlineCM: Real-time Consensus Classification with Missing Values. SDM 2015: 685-693 - [c54]Chuishi Meng, Wenjun Jiang, Yaliang Li, Jing Gao, Lu Su, Hu Ding, Yun Cheng:
Truth Discovery on Crowd Sensing of Correlated Entities. SenSys 2015: 169-182 - [c53]Chenglin Miao, Wenjun Jiang, Lu Su, Yaliang Li, Suxin Guo, Zhan Qin, Houping Xiao, Jing Gao, Kui Ren:
Cloud-Enabled Privacy-Preserving Truth Discovery in Crowd Sensing Systems. SenSys 2015: 183-196 - [c52]Houping Xiao, Jing Gao, Deepak S. Turaga, Long H. Vu, Alain Biem:
Temporal Multi-View Inconsistency Detection for Network Traffic Analysis. WWW (Companion Volume) 2015: 455-465 - [i2]Yaliang Li, Jing Gao, Chuishi Meng, Qi Li, Lu Su, Bo Zhao, Wei Fan, Jiawei Han:
A Survey on Truth Discovery. CoRR abs/1505.02463 (2015) - 2014
- [b2]Manish Gupta, Jing Gao, Charu C. Aggarwal, Jiawei Han:
Outlier Detection for Temporal Data. Synthesis Lectures on Data Mining and Knowledge Discovery, Morgan & Claypool Publishers 2014, ISBN 978-3-031-00777-4 - [j9]Qi Li, Yaliang Li, Jing Gao, Lu Su, Bo Zhao, Murat Demirbas, Wei Fan, Jiawei Han:
A Confidence-Aware Approach for Truth Discovery on Long-Tail Data. Proc. VLDB Endow. 8(4): 425-436 (2014) - [j8]Liang Ge, Jing Gao, Hung Q. Ngo, Kang Li, Aidong Zhang:
On handling negative transfer and imbalanced distributions in multiple source transfer learning. Stat. Anal. Data Min. 7(4): 254-271 (2014) - [j7]Manish Gupta, Jing Gao, Charu C. Aggarwal, Jiawei Han:
Outlier Detection for Temporal Data: A Survey. IEEE Trans. Knowl. Data Eng. 26(9): 2250-2267 (2014) - [c51]Bahadir Ismail Aydin, Yavuz Selim Yilmaz, Yaliang Li, Qi Li, Jing Gao, Murat Demirbas:
Crowdsourcing for Multiple-Choice Question Answering. AAAI 2014: 2946-2953 - [c50]Xiaowei Jia, Nan Du, Jing Gao, Aidong Zhang:
Analysis on Community Variational Trend in Dynamic Networks. CIKM 2014: 151-160 - [c49]Manish Gupta, Jing Gao, Xifeng Yan, Hasan Cam, Jiawei Han:
Top-K interesting subgraph discovery in information networks. ICDE 2014: 820-831 - [c48]Kang Li, Jing Gao, Suxin Guo, Nan Du, Xiaoyi Li, Aidong Zhang:
LRBM: A Restricted Boltzmann Machine Based Approach for Representation Learning on Linked Data. ICDM 2014: 300-309 - [c47]Sihong Xie, Jing Gao, Wei Fan, Deepak S. Turaga, Philip S. Yu:
Class-distribution regularized consensus maximization for alleviating overfitting in model combination. KDD 2014: 303-312 - [c46]Lu Su, Qi Li, Shaohan Hu, Shiguang Wang, Jing Gao, Hengchang Liu, Tarek F. Abdelzaher, Jiawei Han, Xue Liu, Yan Gao, Lance M. Kaplan:
Generalized Decision Aggregation in Distributed Sensing Systems. RTSS 2014: 1-10 - [c45]Xiaoyi Li, Nan Du, Hui Li, Kang Li, Jing Gao, Aidong Zhang:
A Deep Learning Approach to Link Prediction in Dynamic Networks. SDM 2014: 289-297 - [c44]Ke Wu, Andrea Edwards, Wei Fan, Jing Gao, Kun Zhang:
Classifying Imbalanced Data Streams via Dynamic Feature Group Weighting with Importance Sampling. SDM 2014: 722-730 - [c43]Qi Li, Yaliang Li, Jing Gao, Bo Zhao, Wei Fan, Jiawei Han:
Resolving conflicts in heterogeneous data by truth discovery and source reliability estimation. SIGMOD Conference 2014: 1187-1198 - [p2]Yaliang Li, Jing Gao, Qi Li, Wei Fan:
Ensemble Learning. Data Classification: Algorithms and Applications 2014: 483-510 - 2013
- [j6]Jing Gao, Feng Liang, Wei Fan, Yizhou Sun, Jiawei Han:
A Graph-Based Consensus Maximization Approach for Combining Multiple Supervised and Unsupervised Models. IEEE Trans. Knowl. Data Eng. 25(1): 15-28 (2013) - [j5]Mohammad M. Masud, Qing Chen, Latifur Khan, Charu C. Aggarwal, Jing Gao, Jiawei Han, Ashok Srivastava, Nikunj C. Oza:
Classification and Adaptive Novel Class Detection of Feature-Evolving Data Streams. IEEE Trans. Knowl. Data Eng. 25(7): 1484-1497 (2013) - [c42]Manish Gupta, Jing Gao, Xifeng Yan, Hasan Cam, Jiawei Han:
On detecting association-based clique outliers in heterogeneous information networks. ASONAM 2013: 108-115 - [c41]Kang Li, Suxin Guo, Jing Gao, Aidong Zhang:
An Ensemble Model for Mobile Device based Arrhythmia Detection. BCB 2013: 266 - [c40]Xiaoyi Li, Jing Gao, Hui Li, Le Yang, Rohini K. Srihari:
A multimodal framework for unsupervised feature fusion. CIKM 2013: 897-902 - [c39]Liang Ge, Jing Gao, Aidong Zhang:
OMS-TL: a framework of online multiple source transfer learning. CIKM 2013: 2423-2428 - [c38]Kang Li, Suxin Guo, Nan Du, Jing Gao, Aidong Zhang:
Learning, Analyzing and Predicting Object Roles on Dynamic Networks. ICDM 2013: 428-437 - [c37]Nan Du, Jing Gao, Aidong Zhang:
Progression Analysis of Community Strengths in Dynamic Networks. ICDM 2013: 1031-1036 - [c36]Sihong Xie, Xiangnan Kong, Jing Gao, Wei Fan, Philip S. Yu:
Multilabel Consensus Classification. ICDM 2013: 1241-1246 - [c35]Liang Ge, Jing Gao, Xiaoyi Li, Aidong Zhang:
Multi-source deep learning for information trustworthiness estimation. KDD 2013: 766-774 - [c34]Xian Wu, Ziming Feng, Wei Fan, Jing Gao, Yong Yu:
Detecting Marionette Microblog Users for Improved Information Credibility. ECML/PKDD (3) 2013: 483-498 - [c33]Manish Gupta, Jing Gao, Jiawei Han:
Community Distribution Outlier Detection in Heterogeneous Information Networks. ECML/PKDD (1) 2013: 557-573 - [c32]Jing Gao, Jiawei Han, Jialu Liu, Chi Wang:
Multi-View Clustering via Joint Nonnegative Matrix Factorization. SDM 2013: 252-260 - [c31]Jing Gao, Liang Ge, Kang Li, Hung Q. Ngo, Aidong Zhang:
On Handling Negative Transfer and Imbalanced Distributions in Multiple Source Transfer Learning. SDM 2013: 261-269 - [i1]Sihong Xie, Xiangnan Kong, Jing Gao, Wei Fan, Philip S. Yu:
Multilabel Consensus Classification. CoRR abs/1310.4252 (2013) - 2012
- [c30]Manish Gupta, Jing Gao, ChengXiang Zhai, Jiawei Han:
Predicting future popularity trend of events in microblogging platforms. ASIST 2012: 1-10 - [c29]Nan Du, Yuan Zhang, Kang Li, Jing Gao, Supriya D. Mahajan, Bindukumar B. Nair, Stanley A. Schwartz, Aidong Zhang:
Evolutionary analysis of functional modules in dynamic PPI networks. BCB 2012: 250-257 - [c28]Liang Ge, Jing Gao, Nan Du, Aidong Zhang:
Finding informative genes for prostate cancer: a general framework of integrating heterogeneous sources. BCB 2012: 274-281 - [c27]Nan Du, Jing Gao, Vishrawas Gopalakrishnan, Aidong Zhang:
De-noise biological network from heterogeneous sources via link propagation. BIBM 2012: 1-6 - [c26]Liang Ge, Jing Gao, Xiao Yu, Wei Fan, Aidong Zhang:
Estimating Local Information Trustworthiness via Multi-source Joint Matrix Factorization. ICDM 2012: 876-881 - [c25]Manish Gupta, Jing Gao, Yizhou Sun, Jiawei Han:
Integrating community matching and outlier detection for mining evolutionary community outliers. KDD 2012: 859-867 - [c24]Manish Gupta, Jing Gao, Yizhou Sun, Jiawei Han:
Community Trend Outlier Detection Using Soft Temporal Pattern Mining. ECML/PKDD (2) 2012: 692-708 - [c23]Lu Su, Shaohan Hu, Shen Li, Feng Liang, Jing Gao, Tarek F. Abdelzaher, Jiawei Han:
Quality of Information Based Data Selection and Transmission in Wireless Sensor Networks. RTSS 2012: 327-338 - 2011
- [b1]Jing Gao:
Exploring the power of heterogeneous information sources. University of Illinois Urbana-Champaign, USA, 2011 - [j4]Mohammad M. Masud, Clay Woolam, Jing Gao, Latifur Khan, Jiawei Han, Kevin W. Hamlen, Nikunj C. Oza:
Facing the reality of data stream classification: coping with scarcity of labeled data. Knowl. Inf. Syst. 33(1): 213-244 (2011) - [j3]Mohammad M. Masud, Jing Gao, Latifur Khan, Jiawei Han, Bhavani M. Thuraisingham:
Classification and Novel Class Detection in Concept-Drifting Data Streams under Time Constraints. IEEE Trans. Knowl. Data Eng. 23(6): 859-874 (2011) - [j2]Mohammad M. Masud, Tahseen Al-Khateeb, Kevin W. Hamlen, Jing Gao, Latifur Khan, Jiawei Han, Bhavani Thuraisingham:
Cloud-based malware detection for evolving data streams. ACM Trans. Manag. Inf. Syst. 2(3): 16:1-16:27 (2011) - [c22]Jing Gao, Wei Fan, Deepak S. Turaga, Srinivasan Parthasarathy, Jiawei Han:
A Spectral Framework for Detecting Inconsistency across Multi-source Object Relationships. ICDM 2011: 1050-1055 - [c21]Mohammad M. Masud, Tahseen Al-Khateeb, Latifur Khan, Charu C. Aggarwal, Jing Gao, Jiawei Han, Bhavani Thuraisingham:
Detecting Recurring and Novel Classes in Concept-Drifting Data Streams. ICDM 2011: 1176-1181 - [c20]Jing Gao, Wei Fan, Deepak S. Turaga, Olivier Verscheure, Xiaoqiao Meng, Lu Su, Jiawei Han:
Consensus extraction from heterogeneous detectors to improve performance over network traffic anomaly detection. INFOCOM 2011: 181-185 - [c19]Lu Su, Jing Gao, Yong Yang, Tarek F. Abdelzaher, Bolin Ding, Jiawei Han:
Hierarchical aggregate classification with limited supervision for data reduction in wireless sensor networks. SenSys 2011: 40-53 - 2010
- [c18]Mohammad M. Masud, Qing Chen, Latifur Khan, Charu C. Aggarwal, Jing Gao, Jiawei Han, Bhavani Thuraisingham:
Addressing Concept-Evolution in Concept-Drifting Data Streams. ICDM 2010: 929-934 - [c17]Jing Gao, Feng Liang, Wei Fan, Chi Wang, Yizhou Sun, Jiawei Han:
On community outliers and their efficient detection in information networks. KDD 2010: 813-822 - [c16]Mohammad M. Masud, Jing Gao, Latifur Khan, Jiawei Han, Bhavani Thuraisingham:
Classification and Novel Class Detection in Data Streams with Active Mining. PAKDD (2) 2010: 311-324 - [c15]Mohammad M. Masud, Qing Chen, Jing Gao, Latifur Khan, Jiawei Han, Bhavani Thuraisingham:
Classification and Novel Class Detection of Data Streams in a Dynamic Feature Space. ECML/PKDD (2) 2010: 337-352 - [c14]Ming Ji, Yizhou Sun, Marina Danilevsky, Jiawei Han, Jing Gao:
Graph Regularized Transductive Classification on Heterogeneous Information Networks. ECML/PKDD (1) 2010: 570-586
2000 – 2009
- 2009
- [c13]Jing Gao, Guofei Jiang, Haifeng Chen, Jiawei Han:
Modeling Probabilistic Measurement Correlations for Problem Determination in Large-Scale Distributed Systems. ICDCS 2009: 623-630 - [c12]Yizhou Sun, Jiawei Han, Jing Gao, Yintao Yu:
iTopicModel: Information Network-Integrated Topic Modeling. ICDM 2009: 493-502 - [c11]Jing Gao, Wei Fan, Yizhou Sun, Jiawei Han:
Heterogeneous source consensus learning via decision propagation and negotiation. KDD 2009: 339-348 - [c10]Chandrasekar Ramachandran, Rahul Malik, Xin Jin, Jing Gao, Klara Nahrstedt, Jiawei Han:
VideoMule: a consensus learning approach to multi-label classification from noisy user-generated videos. ACM Multimedia 2009: 721-724 - [c9]Jing Gao, Feng Liang, Wei Fan, Yizhou Sun, Jiawei Han:
Graph-based Consensus Maximization among Multiple Supervised and Unsupervised Models. NIPS 2009: 585-593 - [c8]Mohammad M. Masud, Jing Gao, Latifur Khan, Jiawei Han, Bhavani Thuraisingham:
A Multi-partition Multi-chunk Ensemble Technique to Classify Concept-Drifting Data Streams. PAKDD 2009: 363-375 - [c7]Mohammad M. Masud, Jing Gao, Latifur Khan, Jiawei Han, Bhavani Thuraisingham:
Integrating Novel Class Detection with Classification for Concept-Drifting Data Streams. ECML/PKDD (2) 2009: 79-94 - 2008
- [j1]Jing Gao, Bolin Ding, Wei Fan, Jiawei Han, Philip S. Yu:
Classifying Data Streams with Skewed Class Distributions and Concept Drifts. IEEE Internet Comput. 12(6): 37-49 (2008) - [c6]Mohammad M. Masud, Jing Gao, Latifur Khan, Jiawei Han, Bhavani Thuraisingham:
Peer to peer botnet detection for cyber-security: a data mining approach. CSIIRW 2008: 39:1-39:2 - [c5]Mohammad M. Masud, Jing Gao, Latifur Khan, Jiawei Han, Bhavani Thuraisingham:
A Practical Approach to Classify Evolving Data Streams: Training with Limited Amount of Labeled Data. ICDM 2008: 929-934 - [c4]Wei Fan, Kun Zhang, Hong Cheng, Jing Gao, Xifeng Yan, Jiawei Han, Philip S. Yu, Olivier Verscheure:
Direct mining of discriminative and essential frequent patterns via model-based search tree. KDD 2008: 230-238 - [c3]Jing Gao, Wei Fan, Jing Jiang, Jiawei Han:
Knowledge transfer via multiple model local structure mapping. KDD 2008: 283-291 - [p1]Jiawei Han, Jing Gao:
Research Challenges for Data Mining in Science and Engineering. Next Generation of Data Mining 2008 - 2007
- [c2]Jing Gao, Wei Fan, Jiawei Han:
On Appropriate Assumptions to Mine Data Streams: Analysis and Practice. ICDM 2007: 143-152 - [c1]Jing Gao, Wei Fan, Jiawei Han, Philip S. Yu:
A General Framework for Mining Concept-Drifting Data Streams with Skewed Distributions. SDM 2007: 3-14
Coauthor Index
[j18] [c99] [j15] [c72] [c69] [j12] [j11] [c61] [c60] [c59] [c57] [i2] [b2] [j9] [j7] [c49] [c46] [c43] [j6] [j5] [c42] [c33] [c32] [c30] [c25] [c24] [c23] [j4] [j3] [j2] [c22] [c21] [c20] [c19] [c18] [c17] [c16] [c15] [c14] [c13] [c12] [c11] [c10] [c9] [c8] [c7] [j1] [c6] [c5] [c4] [c3] [p1] [c2] [c1]
[c158] [i27] [j31] [j30] [c150] [j26] [c139] [c136] [c131] [c127] [j24] [c122] [c119] [c117] [i16] [i15] [j19] [c111] [c109] [c108] [c106] [c105] [i10] [c104] [c98] [c96] [c95] [c94] [c93] [i7] [i6] [j16] [c84] [c83] [c78] [j15] [c76] [c75] [c74] [i3] [j11] [c61] [c60] [c56] [c54] [c53] [i2] [j9] [c51] [c43] [p2]
Bhavani Thuraisingham
aka: Bhavani M. Thuraisingham
aka: Bhavani M. Thuraisingham
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