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2020 – today
- 2024
- [j14]Qiushi Zhu, Long Zhou, Ziqiang Zhang, Shujie Liu, Binxing Jiao, Jie Zhang, Li-Rong Dai, Daxin Jiang, Jinyu Li, Furu Wei:
VatLM: Visual-Audio-Text Pre-Training With Unified Masked Prediction for Speech Representation Learning. IEEE Trans. Multim. 26: 1055-1064 (2024) - [j13]Qian Liu, Xiubo Geng, Yu Wang, Erik Cambria, Daxin Jiang:
Disentangled Retrieval and Reasoning for Implicit Question Answering. IEEE Trans. Neural Networks Learn. Syst. 35(6): 7804-7815 (2024) - [c145]Yucheng Zhou, Tao Shen, Xiubo Geng, Chongyang Tao, Jianbing Shen, Guodong Long, Can Xu, Daxin Jiang:
Fine-Grained Distillation for Long Document Retrieval. AAAI 2024: 19732-19740 - [c144]Jiazhan Feng, Chongyang Tao, Xiubo Geng, Tao Shen, Can Xu, Guodong Long, Dongyan Zhao, Daxin Jiang:
Synergistic Interplay between Search and Large Language Models for Information Retrieval. ACL (1) 2024: 9571-9583 - [c143]Chongyang Tao, Chang Liu, Tao Shen, Can Xu, Xiubo Geng, Binxing Jiao, Daxin Jiang:
ADAM: Dense Retrieval Distillation with Adaptive Dark Examples. ACL (Findings) 2024: 11639-11651 - [c142]Tao Shen, Guodong Long, Xiubo Geng, Chongyang Tao, Yibin Lei, Tianyi Zhou, Michael Blumenstein, Daxin Jiang:
Retrieval-Augmented Retrieval: Large Language Models are Strong Zero-Shot Retriever. ACL (Findings) 2024: 15933-15946 - [c141]Yiyuan Yang, Guodong Long, Michael Blumenstein, Xiubo Geng, Chongyang Tao, Tao Shen, Daxin Jiang:
Pre-training Cross-Modal Retrieval by Expansive Lexicon-Patch Alignment. LREC/COLING 2024: 12977-12987 - [c140]Ziyang Luo, Can Xu, Pu Zhao, Qingfeng Sun, Xiubo Geng, Wenxiang Hu, Chongyang Tao, Jing Ma, Qingwei Lin, Daxin Jiang:
WizardCoder: Empowering Code Large Language Models with Evol-Instruct. ICLR 2024 - [c139]Can Xu, Qingfeng Sun, Kai Zheng, Xiubo Geng, Pu Zhao, Jiazhan Feng, Chongyang Tao, Qingwei Lin, Daxin Jiang:
WizardLM: Empowering Large Pre-Trained Language Models to Follow Complex Instructions. ICLR 2024 - [i116]Yifei Yang, Tianqiao Liu, Bo Shao, Hai Zhao, Linjun Shou, Ming Gong, Daxin Jiang:
Hypertext Entity Extraction in Webpage. CoRR abs/2403.01698 (2024) - 2023
- [j12]Qian Liu, Xiubo Geng, Heyan Huang, Tao Qin, Jie Lu, Daxin Jiang:
MGRC: An End-to-End Multigranularity Reading Comprehension Model for Question Answering. IEEE Trans. Neural Networks Learn. Syst. 34(5): 2594-2605 (2023) - [c138]Zimeng Li, Bo Shao, Linjun Shou, Ming Gong, Gen Li, Daxin Jiang:
WIERT: Web Information Extraction via Render Tree. AAAI 2023: 13166-13173 - [c137]Zenan Xu, Linjun Shou, Jian Pei, Ming Gong, Qinliang Su, Xiaojun Quan, Daxin Jiang:
A Graph Fusion Approach for Cross-Lingual Machine Reading Comprehension. AAAI 2023: 13861-13868 - [c136]Zhen Li, Chongyang Tao, Jiazhan Feng, Tao Shen, Dongyan Zhao, Xiubo Geng, Daxin Jiang:
FAA: Fine-grained Attention Alignment for Cascade Document Ranking. ACL (1) 2023: 1688-1700 - [c135]Nuo Chen, Linjun Shou, Tengtao Song, Ming Gong, Jian Pei, Jianhui Chang, Daxin Jiang, Jia Li:
Structural Contrastive Pretraining for Cross-Lingual Comprehension. ACL (Findings) 2023: 2042-2057 - [c134]Liang Wang, Nan Yang, Xiaolong Huang, Binxing Jiao, Linjun Yang, Daxin Jiang, Rangan Majumder, Furu Wei:
SimLM: Pre-training with Representation Bottleneck for Dense Passage Retrieval. ACL (1) 2023: 2244-2258 - [c133]Chongyang Tao, Jiazhan Feng, Tao Shen, Chang Liu, Juntao Li, Xiubo Geng, Daxin Jiang:
CORE: Cooperative Training of Retriever-Reranker for Effective Dialogue Response Selection. ACL (1) 2023: 3102-3114 - [c132]Nuo Chen, Linjun Shou, Jian Pei, Ming Gong, Bowen Cao, Jianhui Chang, Jia Li, Daxin Jiang:
Alleviating Over-smoothing for Unsupervised Sentence Representation. ACL (1) 2023: 3552-3566 - [c131]Chenxiao Liu, Shuai Lu, Weizhu Chen, Daxin Jiang, Alexey Svyatkovskiy, Shengyu Fu, Neel Sundaresan, Nan Duan:
Code Execution with Pre-trained Language Models. ACL (Findings) 2023: 4984-4999 - [c130]Yucheng Zhou, Tao Shen, Xiubo Geng, Chongyang Tao, Can Xu, Guodong Long, Binxing Jiao, Daxin Jiang:
Towards Robust Ranker for Text Retrieval. ACL (Findings) 2023: 5387-5401 - [c129]Ning Wu, Ming Gong, Linjun Shou, Jian Pei, Daxin Jiang:
RUEL: Retrieval-Augmented User Representation with Edge Browser Logs for Sequential Recommendation. CIKM 2023: 4871-4878 - [c128]Meng Cao, Fangyun Wei, Can Xu, Xiubo Geng, Long Chen, Can Zhang, Yuexian Zou, Tao Shen, Daxin Jiang:
Iterative Proposal Refinement for Weakly-Supervised Video Grounding. CVPR 2023: 6524-6534 - [c127]Xindi Wang, Yufei Wang, Can Xu, Xiubo Geng, Bowen Zhang, Chongyang Tao, Frank Rudzicz, Robert E. Mercer, Daxin Jiang:
Investigating the Learning Behaviour of In-Context Learning: A Comparison with Supervised Learning. ECAI 2023: 2543-2551 - [c126]Zilin Xiao, Ming Gong, Jie Wu, Xingyao Zhang, Linjun Shou, Daxin Jiang:
Instructed Language Models with Retrievers Are Powerful Entity Linkers. EMNLP 2023: 2267-2282 - [c125]Hao Sun, Xiao Liu, Yeyun Gong, Yan Zhang, Daxin Jiang, Linjun Yang, Nan Duan:
Allies: Prompting Large Language Model with Beam Search. EMNLP (Findings) 2023: 3794-3805 - [c124]Zilin Xiao, Linjun Shou, Xingyao Zhang, Jie Wu, Ming Gong, Daxin Jiang:
Coherent Entity Disambiguation via Modeling Topic and Categorical Dependency. EMNLP (Findings) 2023: 7480-7492 - [c123]Ziyang Luo, Pu Zhao, Can Xu, Xiubo Geng, Tao Shen, Chongyang Tao, Jing Ma, Qingwei Lin, Daxin Jiang:
LexLIP: Lexicon-Bottlenecked Language-Image Pre-Training for Large-Scale Image-Text Sparse Retrieval. ICCV 2023: 11172-11183 - [c122]Tao Shen, Xiubo Geng, Chongyang Tao, Can Xu, Xiaolong Huang, Binxing Jiao, Linjun Yang, Daxin Jiang:
LexMAE: Lexicon-Bottlenecked Pretraining for Large-Scale Retrieval. ICLR 2023 - [c121]Yufei Wang, Jiayi Zheng, Can Xu, Xiubo Geng, Tao Shen, Chongyang Tao, Daxin Jiang:
KnowDA: All-in-One Knowledge Mixture Model for Data Augmentation in Low-Resource NLP. ICLR 2023 - [c120]Zefeng Cai, Chongyang Tao, Tao Shen, Can Xu, Xiubo Geng, Xin Alex Lin, Liang He, Daxin Jiang:
HypeR: Multitask Hyper-Prompted Training Enables Large-Scale Retrieval Generalization. ICLR 2023 - [c119]Shunyu Zhang, Yaobo Liang, Ming Gong, Daxin Jiang, Nan Duan:
Modeling Sequential Sentence Relation to Improve Cross-lingual Dense Retrieval. ICLR 2023 - [c118]Tao Shen, Xiubo Geng, Chongyang Tao, Can Xu, Guodong Long, Kai Zhang, Daxin Jiang:
UnifieR: A Unified Retriever for Large-Scale Retrieval. KDD 2023: 4787-4799 - [c117]Ning Wu, Ming Gong, Linjun Shou, Shining Liang, Daxin Jiang:
Large Language Models are Diverse Role-Players for Summarization Evaluation. NLPCC (1) 2023: 695-707 - [c116]Kun Zhou, Xiao Liu, Yeyun Gong, Wayne Xin Zhao, Daxin Jiang, Nan Duan, Ji-Rong Wen:
MASTER: Multi-task Pre-trained Bottlenecked Masked Autoencoders Are Better Dense Retrievers. ECML/PKDD (2) 2023: 630-647 - [c115]Shengyao Zhuang, Linjun Shou, Jian Pei, Ming Gong, Houxing Ren, Guido Zuccon, Daxin Jiang:
Typos-aware Bottlenecked Pre-Training for Robust Dense Retrieval. SIGIR-AP 2023: 212-222 - [c114]Kai Zhang, Chongyang Tao, Tao Shen, Can Xu, Xiubo Geng, Binxing Jiao, Daxin Jiang:
LED: Lexicon-Enlightened Dense Retriever for Large-Scale Retrieval. WWW 2023: 3203-3213 - [c113]Zhenghao Lin, Yeyun Gong, Xiao Liu, Hang Zhang, Chen Lin, Anlei Dong, Jian Jiao, Jingwen Lu, Daxin Jiang, Rangan Majumder, Nan Duan:
PROD: Progressive Distillation for Dense Retrieval. WWW 2023: 3299-3308 - [i115]Shunyu Zhang, Yaobo Liang, Ming Gong, Daxin Jiang, Nan Duan:
Modeling Sequential Sentence Relation to Improve Cross-lingual Dense Retrieval. CoRR abs/2302.01626 (2023) - [i114]Ziyang Luo, Pu Zhao, Can Xu, Xiubo Geng, Tao Shen, Chongyang Tao, Jing Ma, Qingwen Lin, Daxin Jiang:
LexLIP: Lexicon-Bottlenecked Language-Image Pre-Training for Large-Scale Image-Text Retrieval. CoRR abs/2302.02908 (2023) - [i113]Nuo Chen, Linjun Shou, Ming Gong, Jian Pei, Chenyu You, Jianhui Chang, Daxin Jiang, Jia Li:
Bridge the Gap between Language models and Tabular Understanding. CoRR abs/2302.09302 (2023) - [i112]Houxing Ren, Linjun Shou, Jian Pei, Ning Wu, Ming Gong, Daxin Jiang:
Lexicon-Enhanced Self-Supervised Training for Multilingual Dense Retrieval. CoRR abs/2303.14979 (2023) - [i111]Houxing Ren, Linjun Shou, Ning Wu, Ming Gong, Daxin Jiang:
Empowering Dual-Encoder with Query Generator for Cross-Lingual Dense Retrieval. CoRR abs/2303.14991 (2023) - [i110]Ning Wu, Ming Gong, Linjun Shou, Shining Liang, Daxin Jiang:
Large Language Models are Diverse Role-Players for Summarization Evaluation. CoRR abs/2303.15078 (2023) - [i109]Nan Yang, Tao Ge, Liang Wang, Binxing Jiao, Daxin Jiang, Linjun Yang, Rangan Majumder, Furu Wei:
Inference with Reference: Lossless Acceleration of Large Language Models. CoRR abs/2304.04487 (2023) - [i108]Shengyao Zhuang, Linjun Shou, Jian Pei, Ming Gong, Houxing Ren, Guido Zuccon, Daxin Jiang:
Typos-aware Bottlenecked Pre-Training for Robust Dense Retrieval. CoRR abs/2304.08138 (2023) - [i107]Can Xu, Qingfeng Sun, Kai Zheng, Xiubo Geng, Pu Zhao, Jiazhan Feng, Chongyang Tao, Daxin Jiang:
WizardLM: Empowering Large Language Models to Follow Complex Instructions. CoRR abs/2304.12244 (2023) - [i106]Tao Shen, Guodong Long, Xiubo Geng, Chongyang Tao, Tianyi Zhou, Daxin Jiang:
Large Language Models are Strong Zero-Shot Retriever. CoRR abs/2304.14233 (2023) - [i105]Ziyang Luo, Can Xu, Pu Zhao, Xiubo Geng, Chongyang Tao, Jing Ma, Qingwei Lin, Daxin Jiang:
Augmented Large Language Models with Parametric Knowledge Guiding. CoRR abs/2305.04757 (2023) - [i104]Chenxiao Liu, Shuai Lu, Weizhu Chen, Daxin Jiang, Alexey Svyatkovskiy, Shengyu Fu, Neel Sundaresan, Nan Duan:
Code Execution with Pre-trained Language Models. CoRR abs/2305.05383 (2023) - [i103]Nuo Chen, Linjun Shou, Ming Gong, Jian Pei, Bowen Cao, Jianhui Chang, Daxin Jiang, Jia Li:
Alleviating Over-smoothing for Unsupervised Sentence Representation. CoRR abs/2305.06154 (2023) - [i102]Jiazhan Feng, Chongyang Tao, Xiubo Geng, Tao Shen, Can Xu, Guodong Long, Dongyan Zhao, Daxin Jiang:
Knowledge Refinement via Interaction Between Search Engines and Large Language Models. CoRR abs/2305.07402 (2023) - [i101]Hao Sun, Xiao Liu, Yeyun Gong, Anlei Dong, Jingwen Lu, Yan Zhang, Daxin Jiang, Linjun Yang, Rangan Majumder, Nan Duan:
BeamSearchQA: Large Language Models are Strong Zero-Shot QA Solver. CoRR abs/2305.14766 (2023) - [i100]Ziyang Luo, Can Xu, Pu Zhao, Qingfeng Sun, Xiubo Geng, Wenxiang Hu, Chongyang Tao, Jing Ma, Qingwei Lin, Daxin Jiang:
WizardCoder: Empowering Code Large Language Models with Evol-Instruct. CoRR abs/2306.08568 (2023) - [i99]Xindi Wang, Yufei Wang, Can Xu, Xiubo Geng, Bowen Zhang, Chongyang Tao, Frank Rudzicz, Robert E. Mercer, Daxin Jiang:
Investigating the Learning Behaviour of In-context Learning: A Comparison with Supervised Learning. CoRR abs/2307.15411 (2023) - [i98]Ning Wu, Ming Gong, Linjun Shou, Jian Pei, Daxin Jiang:
RUEL: Retrieval-Augmented User Representation with Edge Browser Logs for Sequential Recommendation. CoRR abs/2309.10469 (2023) - [i97]Zilin Xiao, Ming Gong, Jie Wu, Xingyao Zhang, Linjun Shou, Jian Pei, Daxin Jiang:
Instructed Language Models with Retrievers Are Powerful Entity Linkers. CoRR abs/2311.03250 (2023) - [i96]Zilin Xiao, Linjun Shou, Xingyao Zhang, Jie Wu, Ming Gong, Jian Pei, Daxin Jiang:
Coherent Entity Disambiguation via Modeling Topic and Categorical Dependency. CoRR abs/2311.03253 (2023) - 2022
- [j11]Yong Dai, Linjun Shou, Ming Gong, Xiaolin Xia, Zhao Kang, Zenglin Xu, Daxin Jiang:
Graph Fusion Network for Text Classification. Knowl. Based Syst. 236: 107659 (2022) - [c112]Jun Quan, Ze Wei, Qiang Gan, Jingqi Yao, Jingyi Lu, Yuchen Dong, Yiming Liu, Yi Zeng, Chao Zhang, Yongzhi Li, Huang Hu, Yingying He, Yang Yang, Daxin Jiang:
FORCE: A Framework of Rule-Based Conversational Recommender System. AAAI 2022: 13215-13217 - [c111]Chao-Hong Tan, Jia-Chen Gu, Chongyang Tao, Zhen-Hua Ling, Can Xu, Huang Hu, Xiubo Geng, Daxin Jiang:
TegTok: Augmenting Text Generation via Task-specific and Open-world Knowledge. ACL (Findings) 2022: 1597-1609 - [c110]Siyuan Wang, Wanjun Zhong, Duyu Tang, Zhongyu Wei, Zhihao Fan, Daxin Jiang, Ming Zhou, Nan Duan:
Logic-Driven Context Extension and Data Augmentation for Logical Reasoning of Text. ACL (Findings) 2022: 1619-1629 - [c109]Yucheng Zhou, Tao Shen, Xiubo Geng, Guodong Long, Daxin Jiang:
ClarET: Pre-training a Correlation-Aware Context-To-Event Transformer for Event-Centric Generation and Classification. ACL (1) 2022: 2559-2575 - [c108]Qingfeng Sun, Yujing Wang, Can Xu, Kai Zheng, Yaming Yang, Huang Hu, Fei Xu, Jessica Zhang, Xiubo Geng, Daxin Jiang:
Multimodal Dialogue Response Generation. ACL (1) 2022: 2854-2866 - [c107]Tianyu Chen, Hangbo Bao, Shaohan Huang, Li Dong, Binxing Jiao, Daxin Jiang, Haoyi Zhou, Jianxin Li, Furu Wei:
THE-X: Privacy-Preserving Transformer Inference with Homomorphic Encryption. ACL (Findings) 2022: 3510-3520 - [c106]Yufei Wang, Can Xu, Qingfeng Sun, Huang Hu, Chongyang Tao, Xiubo Geng, Daxin Jiang:
PromDA: Prompt-based Data Augmentation for Low-Resource NLU Tasks. ACL (1) 2022: 4242-4255 - [c105]Wei Chen, Yeyun Gong, Can Xu, Huang Hu, Bolun Yao, Zhongyu Wei, Zhihao Fan, Xiaowu Hu, Bartuer Zhou, Biao Cheng, Daxin Jiang, Nan Duan:
Contextual Fine-to-Coarse Distillation for Coarse-grained Response Selection in Open-Domain Conversations. ACL (1) 2022: 4865-4877 - [c104]Jia-Chen Gu, Chao-Hong Tan, Chongyang Tao, Zhen-Hua Ling, Huang Hu, Xiubo Geng, Daxin Jiang:
HeterMPC: A Heterogeneous Graph Neural Network for Response Generation in Multi-Party Conversations. ACL (1) 2022: 5086-5097 - [c103]Shunyu Zhang, Yaobo Liang, Ming Gong, Daxin Jiang, Nan Duan:
Multi-View Document Representation Learning for Open-Domain Dense Retrieval. ACL (1) 2022: 5990-6000 - [c102]Jianhuan Zhuo, Jianxun Lian, Lanling Xu, Ming Gong, Linjun Shou, Daxin Jiang, Xing Xie, Yinliang Yue:
Tiger: Transferable Interest Graph Embedding for Domain-Level Zero-Shot Recommendation. CIKM 2022: 2806-2816 - [c101]Tao Shen, Xiubo Geng, Daxin Jiang:
Social Norms-Grounded Machine Ethics in Complex Narrative Situation. COLING 2022: 1333-1343 - [c100]Chenfei Wu, Jian Liang, Lei Ji, Fan Yang, Yuejian Fang, Daxin Jiang, Nan Duan:
NÜWA: Visual Synthesis Pre-training for Neural visUal World creAtion. ECCV (16) 2022: 720-736 - [c99]Xiaonan Li, Daya Guo, Yeyun Gong, Yun Lin, Yelong Shen, Xipeng Qiu, Daxin Jiang, Weizhu Chen, Nan Duan:
Soft-Labeled Contrastive Pre-Training for Function-Level Code Representation. EMNLP (Findings) 2022: 118-129 - [c98]Houxing Ren, Linjun Shou, Jian Pei, Ning Wu, Ming Gong, Daxin Jiang:
Lexicon-Enhanced Self-Supervised Training for Multilingual Dense Retrieval. EMNLP (Findings) 2022: 444-459 - [c97]Xiaonan Li, Yeyun Gong, Yelong Shen, Xipeng Qiu, Hang Zhang, Bolun Yao, Weizhen Qi, Daxin Jiang, Weizhu Chen, Nan Duan:
CodeRetriever: A Large Scale Contrastive Pre-Training Method for Code Search. EMNLP 2022: 2898-2910 - [c96]Houxing Ren, Linjun Shou, Ning Wu, Ming Gong, Daxin Jiang:
Empowering Dual-Encoder with Query Generator for Cross-Lingual Dense Retrieval. EMNLP 2022: 3107-3121 - [c95]Junjie Huang, Wanjun Zhong, Qian Liu, Ming Gong, Daxin Jiang, Nan Duan:
Mixed-modality Representation Learning and Pre-training for Joint Table-and-Text Retrieval in OpenQA. EMNLP (Findings) 2022: 4117-4129 - [c94]Yong Wang, Shilin He, Guanhua Chen, Yun Chen, Daxin Jiang:
XLM-D: Decorate Cross-lingual Pre-training Model as Non-Autoregressive Neural Machine Translation. EMNLP 2022: 6934-6946 - [c93]Shining Liang, Linjun Shou, Jian Pei, Ming Gong, Wanli Zuo, Xianglin Zuo, Daxin Jiang:
Label-aware Multi-level Contrastive Learning for Cross-lingual Spoken Language Understanding. EMNLP 2022: 9903-9918 - [c92]Qiyu Wu, Chongyang Tao, Tao Shen, Can Xu, Xiubo Geng, Daxin Jiang:
PCL: Peer-Contrastive Learning with Diverse Augmentations for Unsupervised Sentence Embeddings. EMNLP 2022: 12052-12066 - [c91]Ning Wu, Yaobo Liang, Houxing Ren, Linjun Shou, Nan Duan, Ming Gong, Daxin Jiang:
Unsupervised Context Aware Sentence Representation Pretraining for Multi-lingual Dense Retrieval. IJCAI 2022: 4411-4417 - [c90]Lingzhi Wang, Huang Hu, Lei Sha, Can Xu, Daxin Jiang, Kam-Fai Wong:
RecInDial: A Unified Framework for Conversational Recommendation with Pretrained Language Models. AACL/IJCNLP (1) 2022: 489-500 - [c89]Yuntao Li, Can Xu, Huang Hu, Lei Sha, Yan Zhang, Daxin Jiang:
Small Changes Make Big Differences: Improving Multi-turn Response Selection in Dialogue Systems via Fine-Grained Contrastive Learning. INTERSPEECH 2022: 2723-2727 - [c88]Hao Huang, Xiubo Geng, Guodong Long, Daxin Jiang:
Understand before Answer: Improve Temporal Reading Comprehension via Precise Question Understanding. NAACL-HLT 2022: 375-384 - [c87]Nuo Chen, Linjun Shou, Ming Gong, Jian Pei, Daxin Jiang:
Bridging the Gap between Language Models and Cross-Lingual Sequence Labeling. NAACL-HLT 2022: 1909-1923 - [c86]Qingfeng Sun, Can Xu, Huang Hu, Yujing Wang, Jian Miao, Xiubo Geng, Yining Chen, Fei Xu, Daxin Jiang:
Stylized Knowledge-Grounded Dialogue Generation via Disentangled Template Rewriting. NAACL-HLT 2022: 3304-3318 - [c85]Qianglong Chen, Xiangji Zeng, Jiangang Zhu, Yin Zhang, Bojia Lin, Yang Yang, Daxin Jiang:
Rethinking the Value of Gazetteer in Chinese Named Entity Recognition. NLPCC (1) 2022: 285-297 - [c84]Weizhe Lin, Linjun Shou, Ming Gong, Jian Pei, Zhilin Wang, Bill Byrne, Daxin Jiang:
Combining Unstructured Content and Knowledge Graphs into Recommendation Datasets. KaRS@RecSys 2022: 45-52 - [c83]Weizhe Lin, Linjun Shou, Ming Gong, Jian Pei, Zhilin Wang, Bill Byrne, Daxin Jiang:
Transformer-Empowered Content-Aware Collaborative Filtering. KaRS@RecSys 2022: 53-64 - [c82]Jia Li, Chongyang Tao, Huang Hu, Can Xu, Yining Chen, Daxin Jiang:
Unsupervised Cross-Domain Adaptation for Response Selection Using Self-Supervised and Adversarial Training. WSDM 2022: 562-570 - [c81]Yucheng Zhou, Xiubo Geng, Tao Shen, Guodong Long, Daxin Jiang:
EventBERT: A Pre-Trained Model for Event Correlation Reasoning. WWW 2022: 850-859 - [i95]Xiaonan Li, Yeyun Gong, Yelong Shen, Xipeng Qiu, Hang Zhang, Bolun Yao, Weizhen Qi, Daxin Jiang, Weizhu Chen, Nan Duan:
CodeRetriever: Unimodal and Bimodal Contrastive Learning. CoRR abs/2201.10866 (2022) - [i94]Qiyu Wu, Chongyang Tao, Tao Shen, Can Xu, Xiubo Geng, Daxin Jiang:
PCL: Peer-Contrastive Learning with Diverse Augmentations for Unsupervised Sentence Embeddings. CoRR abs/2201.12093 (2022) - [i93]Minheng Ni, Chenfei Wu, Haoyang Huang, Daxin Jiang, Wangmeng Zuo, Nan Duan:
NÜWA-LIP: Language Guided Image Inpainting with Defect-free VQGAN. CoRR abs/2202.05009 (2022) - [i92]Yufei Wang, Can Xu, Qingfeng Sun, Huang Hu, Chongyang Tao, Xiubo Geng, Daxin Jiang:
PromDA: Prompt-based Data Augmentation for Low-Resource NLU Tasks. CoRR abs/2202.12499 (2022) - [i91]Yucheng Zhou, Tao Shen, Xiubo Geng, Guodong Long, Daxin Jiang:
ClarET: Pre-training a Correlation-Aware Context-To-Event Transformer for Event-Centric Generation and Classification. CoRR abs/2203.02225 (2022) - [i90]Shunyu Zhang, Yaobo Liang, Ming Gong, Daxin Jiang, Nan Duan:
Multi-View Document Representation Learning for Open-Domain Dense Retrieval. CoRR abs/2203.08372 (2022) - [i89]Jia-Chen Gu, Chao-Hong Tan, Chongyang Tao, Zhen-Hua Ling, Huang Hu, Xiubo Geng, Daxin Jiang:
HeterMPC: A Heterogeneous Graph Neural Network for Response Generation in Multi-Party Conversations. CoRR abs/2203.08500 (2022) - [i88]Chao-Hong Tan, Jia-Chen Gu, Chongyang Tao, Zhen-Hua Ling, Can Xu, Huang Hu, Xiubo Geng, Daxin Jiang:
TegTok: Augmenting Text Generation via Task-specific and Open-world Knowledge. CoRR abs/2203.08517 (2022) - [i87]Jun Quan, Ze Wei, Qiang Gan, Jingqi Yao, Jingyi Lu, Yuchen Dong, Yiming Liu, Yi Zeng, Chao Zhang, Yongzhi Li, Huang Hu, Yingying He, Yang Yang, Daxin Jiang:
FORCE: A Framework of Rule-Based Conversational Recommender System. CoRR abs/2203.10001 (2022) - [i86]Weizhe Lin, Linjun Shou, Ming Gong, Jian Pei, Zhilin Wang, Bill Byrne, Daxin Jiang:
Transformer-Empowered Content-Aware Collaborative Filtering. CoRR abs/2204.00849 (2022) - [i85]Nuo Chen, Linjun Shou, Ming Gong, Jian Pei, Daxin Jiang:
Bridging the Gap between Language Models and Cross-Lingual Sequence Labeling. CoRR abs/2204.05210 (2022) - [i84]Qingfeng Sun, Can Xu, Huang Hu, Yujing Wang, Jian Miao, Xiubo Geng, Yining Chen, Fei Xu, Daxin Jiang:
Stylized Knowledge-Grounded Dialogue Generation via Disentangled Template Rewriting. CoRR abs/2204.05610 (2022) - [i83]Shining Liang, Linjun Shou, Jian Pei, Ming Gong, Wanli Zuo, Xianglin Zuo, Daxin Jiang:
Multi-level Contrastive Learning for Cross-lingual Spoken Language Understanding. CoRR abs/2205.03656 (2022) - [i82]Tao Shen, Xiubo Geng, Chongyang Tao, Can Xu, Kai Zhang, Daxin Jiang:
UnifieR: A Unified Retriever for Large-Scale Retrieval. CoRR abs/2205.11194 (2022) - [i81]Lanling Xu, Jianxun Lian, Wayne Xin Zhao, Ming Gong, Linjun Shou, Daxin Jiang, Xing Xie, Ji-Rong Wen:
Negative Sampling for Contrastive Representation Learning: A Review. CoRR abs/2206.00212 (2022) - [i80]Tianyu Chen, Hangbo Bao, Shaohan Huang, Li Dong, Binxing Jiao, Daxin Jiang, Haoyi Zhou, Jianxin Li, Furu Wei:
THE-X: Privacy-Preserving Transformer Inference with Homomorphic Encryption. CoRR abs/2206.00216 (2022) - [i79]Tianyu Chen, Shaohan Huang, Yuan Xie, Binxing Jiao, Daxin Jiang, Haoyi Zhou, Jianxin Li, Furu Wei:
Task-Specific Expert Pruning for Sparse Mixture-of-Experts. CoRR abs/2206.00277 (2022) - [i78]Ning Wu, Yaobo Liang, Houxing Ren, Linjun Shou, Nan Duan, Ming Gong, Daxin Jiang:
Unsupervised Context Aware Sentence Representation Pretraining for Multi-lingual Dense Retrieval. CoRR abs/2206.03281 (2022) - [i77]Yucheng Zhou, Tao Shen, Xiubo Geng, Chongyang Tao, Can Xu, Guodong Long, Binxing Jiao, Daxin Jiang:
Towards Robust Ranker for Text Retrieval. CoRR abs/2206.08063 (2022) - [i76]Shengyao Zhuang, Houxing Ren, Linjun Shou, Jian Pei, Ming Gong, Guido Zuccon, Daxin Jiang:
Bridging the Gap Between Indexing and Retrieval for Differentiable Search Index with Query Generation. CoRR abs/2206.10128 (2022) - [i75]Yufei Wang, Jiayi Zheng, Can Xu, Xiubo Geng, Tao Shen, Chongyang Tao, Daxin Jiang:
KnowDA: All-in-One Knowledge Mixture Model for Data Augmentation in Few-Shot NLP. CoRR abs/2206.10265 (2022) - [i74]Liang Wang, Nan Yang, Xiaolong Huang, Binxing Jiao, Linjun Yang, Daxin Jiang, Rangan Majumder, Furu Wei:
SimLM: Pre-training with Representation Bottleneck for Dense Passage Retrieval. CoRR abs/2207.02578 (2022) - [i73]Qianglong Chen, Xiangji Zeng, Jiangang Zhu, Yin Zhang, Bojia Lin, Yang Yang, Daxin Jiang:
Rethinking the Value of Gazetteer in Chinese Named Entity Recognition. CoRR abs/2207.02802 (2022) - [i72]Kai Zhang, Chongyang Tao, Tao Shen, Can Xu, Xiubo Geng, Binxing Jiao, Daxin Jiang:
LED: Lexicon-Enlightened Dense Retriever for Large-Scale Retrieval. CoRR abs/2208.13661 (2022) - [i71]Tao Shen, Xiubo Geng, Chongyang Tao, Can Xu, Xiaolong Huang, Binxing Jiao, Linjun Yang, Daxin Jiang:
LexMAE: Lexicon-Bottlenecked Pretraining for Large-Scale Retrieval. CoRR abs/2208.14754 (2022) - [i70]Zhenghao Lin, Yeyun Gong, Xiao Liu, Hang Zhang, Chen Lin, Anlei Dong, Jian Jiao, Jingwen Lu, Daxin Jiang, Rangan Majumder, Nan Duan:
PROD: Progressive Distillation for Dense Retrieval. CoRR abs/2209.13335 (2022) - [i69]Junjie Huang, Wanjun Zhong, Qian Liu, Ming Gong, Daxin Jiang, Nan Duan:
Mixed-modality Representation Learning and Pre-training for Joint Table-and-Text Retrieval in OpenQA. CoRR abs/2210.05197 (2022) - [i68]Xiaonan Li, Daya Guo, Yeyun Gong, Yun Lin, Yelong Shen, Xipeng Qiu, Daxin Jiang, Weizhu Chen, Nan Duan:
Soft-Labeled Contrastive Pre-training for Function-level Code Representation. CoRR abs/2210.09597 (2022) - [i67]Qiu-Shi Zhu, Long Zhou, Ziqiang Zhang, Shujie Liu, Binxing Jiao, Jie Zhang, Lirong Dai, Daxin Jiang, Jinyu Li, Furu Wei:
VATLM: Visual-Audio-Text Pre-Training with Unified Masked Prediction for Speech Representation Learning. CoRR abs/2211.11275 (2022) - [i66]Liang Wang, Nan Yang, Xiaolong Huang, Binxing Jiao, Linjun Yang, Daxin Jiang, Rangan Majumder, Furu Wei:
Text Embeddings by Weakly-Supervised Contrastive Pre-training. CoRR abs/2212.03533 (2022) - [i65]Hao Sun, Xiao Liu, Yeyun Gong, Anlei Dong, Jian Jiao, Jingwen Lu, Yan Zhang, Daxin Jiang, Linjun Yang, Rangan Majumder, Nan Duan:
LEAD: Liberal Feature-based Distillation for Dense Retrieval. CoRR abs/2212.05225 (2022) - [i64]Kun Zhou, Xiao Liu, Yeyun Gong, Wayne Xin Zhao, Daxin Jiang, Nan Duan, Ji-Rong Wen:
MASTER: Multi-task Pre-trained Bottlenecked Masked Autoencoders are Better Dense Retrievers. CoRR abs/2212.07841 (2022) - [i63]Chang Liu, Chongyang Tao, Xiubo Geng, Tao Shen, Dongyan Zhao, Can Xu, Binxing Jiao, Daxin Jiang:
Adam: Dense Retrieval Distillation with Adaptive Dark Examples. CoRR abs/2212.10192 (2022) - [i62]Yucheng Zhou, Tao Shen, Xiubo Geng, Chongyang Tao, Guodong Long, Can Xu, Daxin Jiang:
Fine-Grained Distillation for Long Document Retrieval. CoRR abs/2212.10423 (2022) - 2021
- [c80]Ruijian Xu, Chongyang Tao, Daxin Jiang, Xueliang Zhao, Dongyan Zhao, Rui Yan:
Learning an Effective Context-Response Matching Model with Self-Supervised Tasks for Retrieval-based Dialogues. AAAI 2021: 14158-14166 - [c79]Fei Yuan, Linjun Shou, Jian Pei, Wutao Lin, Ming Gong, Yan Fu, Daxin Jiang:
Reinforced Multi-Teacher Selection for Knowledge Distillation. AAAI 2021: 14284-14291 - [c78]Jun Quan, Meng Yang, Qiang Gan, Deyi Xiong, Yiming Liu, Yuchen Dong, Fangxin Ouyang, Jun Tian, Ruiling Deng, Yongzhi Li, Yang Yang, Daxin Jiang:
Integrating Pre-trained Model into Rule-based Dialogue Management. AAAI 2021: 16097-16099 - [c77]Weizhen Qi, Yeyun Gong, Yu Yan, Can Xu, Bolun Yao, Bartuer Zhou, Biao Cheng, Daxin Jiang, Jiusheng Chen, Ruofei Zhang, Houqiang Li, Nan Duan:
ProphetNet-X: Large-Scale Pre-training Models for English, Chinese, Multi-lingual, Dialog, and Code Generation. ACL (demo) 2021: 232-239 - [c76]Dayiheng Liu, Yu Yan, Yeyun Gong, Weizhen Qi, Hang Zhang, Jian Jiao, Weizhu Chen, Jie Fu, Linjun Shou, Ming Gong, Pengcheng Wang, Jiusheng Chen, Daxin Jiang, Jiancheng Lv, Ruofei Zhang, Winnie Wu, Ming Zhou, Nan Duan:
GLGE: A New General Language Generation Evaluation Benchmark. ACL/IJCNLP (Findings) 2021: 408-420 - [c75]Ruize Wang, Duyu Tang, Nan Duan, Zhongyu Wei, Xuanjing Huang, Jianshu Ji, Guihong Cao, Daxin Jiang, Ming Zhou:
K-Adapter: Infusing Knowledge into Pre-Trained Models with Adapters. ACL/IJCNLP (Findings) 2021: 1405-1418 - [c74]Jia-Chen Gu, Chongyang Tao, Zhen-Hua Ling, Can Xu, Xiubo Geng, Daxin Jiang:
MPC-BERT: A Pre-Trained Language Model for Multi-Party Conversation Understanding. ACL/IJCNLP (1) 2021: 3682-3692 - [c73]Yucheng Zhou, Xiubo Geng, Tao Shen, Jian Pei, Wenqiang Zhang, Daxin Jiang:
Modeling Event-Pair Relations in External Knowledge Graphs for Script Reasoning. ACL/IJCNLP (Findings) 2021: 4586-4596 - [c72]Hao Huang, Xiubo Geng, Jian Pei, Guodong Long, Daxin Jiang:
Reasoning over Entity-Action-Location Graph for Procedural Text Understanding. ACL/IJCNLP (1) 2021: 5100-5109 - [c71]Zenan Xu, Daya Guo, Duyu Tang, Qinliang Su, Linjun Shou, Ming Gong, Wanjun Zhong, Xiaojun Quan, Daxin Jiang, Nan Duan:
Syntax-Enhanced Pre-trained Model. ACL/IJCNLP (1) 2021: 5412-5422 - [c70]Zujie Liang, Huang Hu, Can Xu, Chongyang Tao, Xiubo Geng, Yining Chen, Fan Liang, Daxin Jiang:
Maria: A Visual Experience Powered Conversational Agent. ACL/IJCNLP (1) 2021: 5596-5611 - [c69]Junjie Huang, Duyu Tang, Linjun Shou, Ming Gong, Ke Xu, Daxin Jiang, Ming Zhou, Nan Duan:
CoSQA: 20, 000+ Web Queries for Code Search and Question Answering. ACL/IJCNLP (1) 2021: 5690-5700 - [c68]Junjie Huang, Duyu Tang, Wanjun Zhong, Shuai Lu, Linjun Shou, Ming Gong, Daxin Jiang, Nan Duan:
WhiteningBERT: An Easy Unsupervised Sentence Embedding Approach. EMNLP (Findings) 2021: 238-244 - [c67]Feilong Chen, Xiuyi Chen, Can Xu, Daxin Jiang:
Learning to Ground Visual Objects for Visual Dialog. EMNLP (Findings) 2021: 1081-1091 - [c66]Lingzhi Wang, Xingshan Zeng, Huang Hu, Kam-Fai Wong, Daxin Jiang:
Re-entry Prediction for Online Conversations via Self-Supervised Learning. EMNLP (Findings) 2021: 2127-2137 - [c65]Yingmei Guo, Linjun Shou, Jian Pei, Ming Gong, Mingxing Xu, Zhiyong Wu, Daxin Jiang:
Learning from Multiple Noisy Augmented Data Sets for Better Cross-Lingual Spoken Language Understanding. EMNLP (1) 2021: 3226-3237 - [c64]Zujie Liang, Huang Hu, Can Xu, Jian Miao, Yingying He, Yining Chen, Xiubo Geng, Fan Liang, Daxin Jiang:
Learning Neural Templates for Recommender Dialogue System. EMNLP (1) 2021: 7821-7833 - [c63]Daya Guo, Shuo Ren, Shuai Lu, Zhangyin Feng, Duyu Tang, Shujie Liu, Long Zhou, Nan Duan, Alexey Svyatkovskiy, Shengyu Fu, Michele Tufano, Shao Kun Deng, Colin B. Clement, Dawn Drain, Neel Sundaresan, Jian Yin, Daxin Jiang, Ming Zhou:
GraphCodeBERT: Pre-training Code Representations with Data Flow. ICLR 2021 - [c62]Ruozi Huang, Huang Hu, Wei Wu, Kei Sawada, Mi Zhang, Daxin Jiang:
Dance Revolution: Long-Term Dance Generation with Music via Curriculum Learning. ICLR 2021 - [c61]Chongyang Tao, Jiazhan Feng, Rui Yan, Wei Wu, Daxin Jiang:
A Survey on Response Selection for Retrieval-based Dialogues. IJCAI 2021: 4619-4626 - [c60]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 - [c59]Shining Liang, Ming Gong, Jian Pei, Linjun Shou, Wanli Zuo, Xianglin Zuo, Daxin Jiang:
Reinforced Iterative Knowledge Distillation for Cross-Lingual Named Entity Recognition. KDD 2021: 3231-3239 - [c58]Linjun Shou, Ming Gong, Jian Pei, Xiubo Geng, Xingjie Zhou, Daxin Jiang:
Language Scaling: Applications, Challenges and Approaches. KDD 2021: 4068-4069 - [c57]Qianlan Ying, Payal Bajaj, Budhaditya Deb, Yu Yang, Wei Wang, Bojia Lin, Milad Shokouhi, Xia Song, Yang Yang, Daxin Jiang:
Language Scaling for Universal Suggested Replies Model. NAACL-HLT (Industry Papers) 2021: 138-145 - [c56]Yucheng Zhou, Xiubo Geng, Tao Shen, Wenqiang Zhang, Daxin Jiang:
Improving Zero-Shot Cross-lingual Transfer for Multilingual Question Answering over Knowledge Graph. NAACL-HLT 2021: 5822-5834 - [c55]Shuai Lu, Daya Guo, Shuo Ren, Junjie Huang, Alexey Svyatkovskiy, Ambrosio Blanco, Colin B. Clement, Dawn Drain, Daxin Jiang, Duyu Tang, Ge Li, Lidong Zhou, Linjun Shou, Long Zhou, Michele Tufano, Ming Gong, Ming Zhou, Nan Duan, Neel Sundaresan, Shao Kun Deng, Shengyu Fu, Shujie Liu:
CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation. NeurIPS Datasets and Benchmarks 2021 - [c54]Yufei Wang, Can Xu, Huang Hu, Chongyang Tao, Stephen Wan, Mark Dras, Mark Johnson, Daxin Jiang:
Neural Rule-Execution Tracking Machine For Transformer-Based Text Generation. NeurIPS 2021: 16938-16950 - [c53]Shining Liang, Linjun Shou, Jian Pei, Ming Gong, Wanli Zuo, Daxin Jiang:
CalibreNet: Calibration Networks for Multilingual Sequence Labeling. WSDM 2021: 842-850 - [c52]Qian Liu, Xiubo Geng, Jie Lu, Daxin Jiang:
Pivot-based Candidate Retrieval for Cross-lingual Entity Linking. WWW 2021: 1076-1085 - [c51]Zhihan Zhang, Xiubo Geng, Tao Qin, Yunfang Wu, Daxin Jiang:
Knowledge-Aware Procedural Text Understanding with Multi-Stage Training. WWW 2021: 3512-3523 - [i61]Shuai Lu, Daya Guo, Shuo Ren, Junjie Huang, Alexey Svyatkovskiy, Ambrosio Blanco, Colin B. Clement, Dawn Drain, Daxin Jiang, Duyu Tang, Ge Li, Lidong Zhou, Linjun Shou, Long Zhou, Michele Tufano, Ming Gong, Ming Zhou, Nan Duan, Neel Sundaresan, Shao Kun Deng, Shengyu Fu, Shujie Liu:
CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation. CoRR abs/2102.04664 (2021) - [i60]Jun Quan, Meng Yang, Qiang Gan, Deyi Xiong, Yiming Liu, Yuchen Dong, Fangxin Ouyang, Jun Tian, Ruiling Deng, Yongzhi Li, Yang Yang, Daxin Jiang:
Integrating Pre-trained Model into Rule-based Dialogue Management. CoRR abs/2102.08553 (2021) - [i59]Junjie Huang, Duyu Tang, Wanjun Zhong, Shuai Lu, Linjun Shou, Ming Gong, Daxin Jiang, Nan Duan:
WhiteningBERT: An Easy Unsupervised Sentence Embedding Approach. CoRR abs/2104.01767 (2021) - [i58]Weizhen Qi, Yeyun Gong, Yu Yan, Can Xu, Bolun Yao, Bartuer Zhou, Biao Cheng, Daxin Jiang, Jiusheng Chen, Ruofei Zhang, Houqiang Li, Nan Duan:
ProphetNet-X: Large-Scale Pre-training Models for English, Chinese, Multi-lingual, Dialog, and Code Generation. CoRR abs/2104.08006 (2021) - [i57]Siyuan Wang, Wanjun Zhong, Duyu Tang, Zhongyu Wei, Zhihao Fan, Daxin Jiang, Ming Zhou, Nan Duan:
Logic-Driven Context Extension and Data Augmentation for Logical Reasoning of Text. CoRR abs/2105.03659 (2021) - [i56]Zujie Liang, Huang Hu, Can Xu, Chongyang Tao, Xiubo Geng, Yining Chen, Fan Liang, Daxin Jiang:
Maria: A Visual Experience Powered Conversational Agent. CoRR abs/2105.13073 (2021) - [i55]Junjie Huang, Duyu Tang, Linjun Shou, Ming Gong, Ke Xu, Daxin Jiang, Ming Zhou, Nan Duan:
CoSQA: 20, 000+ Web Queries for Code Search and Question Answering. CoRR abs/2105.13239 (2021) - [i54]Shining Liang, Ming Gong, Jian Pei, Linjun Shou, Wanli Zuo, Xianglin Zuo, Daxin Jiang:
Reinforced Iterative Knowledge Distillation for Cross-Lingual Named Entity Recognition. CoRR abs/2106.00241 (2021) - [i53]Jia-Chen Gu, Chongyang Tao, Zhen-Hua Ling, Can Xu, Xiubo Geng, Daxin Jiang:
MPC-BERT: A Pre-Trained Language Model for Multi-Party Conversation Understanding. CoRR abs/2106.01541 (2021) - [i52]Qianlan Ying, Payal Bajaj, Budhaditya Deb, Yu Yang, Wei Wang, Bojia Lin, Milad Shokouhi, Xia Song, Yang Yang, Daxin Jiang:
Language Scaling for Universal Suggested Replies Model. CoRR abs/2106.02232 (2021) - [i51]Yufei Wang, Can Xu, Huang Hu, Chongyang Tao, Stephen Wan, Mark Dras, Mark Johnson, Daxin Jiang:
Neural Rule-Execution Tracking Machine For Transformer-Based Text Generation. CoRR abs/2107.13077 (2021) - [i50]Chuhan Wu, Fangzhao Wu, Tao Qi, Binxing Jiao, Daxin Jiang, Yongfeng Huang:
Smart Bird: Learnable Sparse Attention for Efficient and Effective Transformer. CoRR abs/2108.09193 (2021) - [i49]Yingmei Guo, Linjun Shou, Jian Pei, Ming Gong, Mingxing Xu, Zhiyong Wu, Daxin Jiang:
Learning from Multiple Noisy Augmented Data Sets for Better Cross-Lingual Spoken Language Understanding. CoRR abs/2109.01583 (2021) - [i48]Lingzhi Wang, Xingshan Zeng, Huang Hu, Kam-Fai Wong, Daxin Jiang:
Re-entry Prediction for Online Conversations via Self-Supervised Learning. CoRR abs/2109.02020 (2021) - [i47]Feilong Chen, Xiuyi Chen, Can Xu, Daxin Jiang:
Learning to Ground Visual Objects for Visual Dialog. CoRR abs/2109.06013 (2021) - [i46]Zujie Liang, Huang Hu, Can Xu, Jian Miao, Yingying He, Yining Chen, Xiubo Geng, Fan Liang, Daxin Jiang:
Learning Neural Templates for Recommender Dialogue System. CoRR abs/2109.12302 (2021) - [i45]Wei Chen, Yeyun Gong, Can Xu, Huang Hu, Bolun Yao, Zhongyu Wei, Zhihao Fan, Xiaowu Hu, Bartuer Zhou, Biao Cheng, Daxin Jiang, Nan Duan:
Contextual Fine-to-Coarse Distillation for Coarse-grained Response Selection in Open-Domain Conversations. CoRR abs/2109.13087 (2021) - [i44]Chongyang Tao, Jiazhan Feng, Chang Liu, Juntao Li, Xiubo Geng, Daxin Jiang:
Building an Efficient and Effective Retrieval-based Dialogue System via Mutual Learning. CoRR abs/2110.00159 (2021) - [i43]Yucheng Zhou, Xiubo Geng, Tao Shen, Guodong Long, Daxin Jiang:
EventBERT: A Pre-Trained Model for Event Correlation Reasoning. CoRR abs/2110.06533 (2021) - [i42]Lingzhi Wang, Huang Hu, Lei Sha, Can Xu, Kam-Fai Wong, Daxin Jiang:
Finetuning Large-Scale Pre-trained Language Models for Conversational Recommendation with Knowledge Graph. CoRR abs/2110.07477 (2021) - [i41]Qingfeng Sun, Yujing Wang, Can Xu, Kai Zheng, Yaming Yang, Huang Hu, Fei Xu, Jessica Zhang, Xiubo Geng, Daxin Jiang:
Multimodal Dialogue Response Generation. CoRR abs/2110.08515 (2021) - [i40]Yuntao Li, Can Xu, Huang Hu, Lei Sha, Yan Zhang, Daxin Jiang:
Small Changes Make Big Differences: Improving Multi-turn Response Selection in Dialogue Systems via Fine-Grained Contrastive Learning. CoRR abs/2111.10154 (2021) - [i39]Chenfei Wu, Jian Liang, Lei Ji, Fan Yang, Yuejian Fang, Daxin Jiang, Nan Duan:
NÜWA: Visual Synthesis Pre-training for Neural visUal World creAtion. CoRR abs/2111.12417 (2021) - [i38]Nuo Chen, Linjun Shou, Ming Gong, Jian Pei, Daxin Jiang:
From Good to Best: Two-Stage Training for Cross-lingual Machine Reading Comprehension. CoRR abs/2112.04735 (2021) - 2020
- [c50]Shangwen Lv, Daya Guo, Jingjing Xu, Duyu Tang, Nan Duan, Ming Gong, Linjun Shou, Daxin Jiang, Guihong Cao, Songlin Hu:
Graph-Based Reasoning over Heterogeneous External Knowledge for Commonsense Question Answering. AAAI 2020: 8449-8456 - [c49]Yibo Sun, Duyu Tang, Nan Duan, Yeyun Gong, Xiaocheng Feng, Bing Qin, Daxin Jiang:
Neural Semantic Parsing in Low-Resource Settings with Back-Translation and Meta-Learning. AAAI 2020: 8960-8967 - [c48]Gen Li, Nan Duan, Yuejian Fang, Ming Gong, Daxin Jiang:
Unicoder-VL: A Universal Encoder for Vision and Language by Cross-Modal Pre-Training. AAAI 2020: 11336-11344 - [c47]Fei Yuan, Linjun Shou, Xuanyu Bai, Ming Gong, Yaobo Liang, Nan Duan, Yan Fu, Daxin Jiang:
Enhancing Answer Boundary Detection for Multilingual Machine Reading Comprehension. ACL 2020: 925-934 - [c46]Wanjun Zhong, Duyu Tang, Zhangyin Feng, Nan Duan, Ming Zhou, Ming Gong, Linjun Shou, Daxin Jiang, Jiahai Wang, Jian Yin:
LogicalFactChecker: Leveraging Logical Operations for Fact Checking with Graph Module Network. ACL 2020: 6053-6065 - [c45]Daya Guo, Duyu Tang, Nan Duan, Jian Yin, Daxin Jiang, Ming Zhou:
Evidence-Aware Inferential Text Generation with Vector Quantised Variational AutoEncoder. ACL 2020: 6118-6129 - [c44]Bo Zheng, Haoyang Wen, Yaobo Liang, Nan Duan, Wanxiang Che, Daxin Jiang, Ming Zhou, Ting Liu:
Document Modeling with Graph Attention Networks for Multi-grained Machine Reading Comprehension. ACL 2020: 6708-6718 - [c43]Dayiheng Liu, Yeyun Gong, Jie Fu, Yu Yan, Jiusheng Chen, Daxin Jiang, Jiancheng Lv, Nan Duan:
RikiNet: Reading Wikipedia Pages for Natural Question Answering. ACL 2020: 6762-6771 - [c42]Zihan Xu, Jiangang Zhu, Ling Geng, Yang Yang, Bojia Lin, Daxin Jiang:
Learning to Generate Reformulation Actions for Scalable Conversational Query Understanding. CIKM 2020: 2269-2272 - [c41]Xingyao Zhang, Linjun Shou, Jian Pei, Ming Gong, Lijie Wen, Daxin Jiang:
A Graph Representation of Semi-structured Data for Web Question Answering. COLING 2020: 51-61 - [c40]Junhao Liu, Linjun Shou, Jian Pei, Ming Gong, Min Yang, Daxin Jiang:
Cross-lingual Machine Reading Comprehension with Language Branch Knowledge Distillation. COLING 2020: 2710-2721 - [c39]Huaishao Luo, Lei Ji, Tianrui Li, Daxin Jiang, Nan Duan:
GRACE: Gradient Harmonized and Cascaded Labeling for Aspect-based Sentiment Analysis. EMNLP (Findings) 2020: 54-64 - [c38]Chujie Zheng, Yunbo Cao, Daxin Jiang, Minlie Huang:
Difference-aware Knowledge Selection for Knowledge-grounded Conversation Generation. EMNLP (Findings) 2020: 115-125 - [c37]Zhangyin Feng, Daya Guo, Duyu Tang, Nan Duan, Xiaocheng Feng, Ming Gong, Linjun Shou, Bing Qin, Ting Liu, Daxin Jiang, Ming Zhou:
CodeBERT: A Pre-Trained Model for Programming and Natural Languages. EMNLP (Findings) 2020: 1536-1547 - [c36]Ruize Wang, Duyu Tang, Nan Duan, Wanjun Zhong, Zhongyu Wei, Xuanjing Huang, Daxin Jiang, Ming Zhou:
Leveraging Declarative Knowledge in Text and First-Order Logic for Fine-Grained Propaganda Detection. EMNLP (1) 2020: 3895-3903 - [c35]Xuguang Wang, Linjun Shou, Ming Gong, Nan Duan, Daxin Jiang:
No Answer is Better Than Wrong Answer: A Reflection Model for Document Level Machine Reading Comprehension. EMNLP (Findings) 2020: 4141-4150 - [c34]Yaobo Liang, Nan Duan, Yeyun Gong, Ning Wu, Fenfei Guo, Weizhen Qi, Ming Gong, Linjun Shou, Daxin Jiang, Guihong Cao, Xiaodong Fan, Ruofei Zhang, Rahul Agrawal, Edward Cui, Sining Wei, Taroon Bharti, Ying Qiao, Jiun-Hung Chen, Winnie Wu, Shuguang Liu, Fan Yang, Daniel Campos, Rangan Majumder, Ming Zhou:
XGLUE: A New Benchmark Datasetfor Cross-lingual Pre-training, Understanding and Generation. EMNLP (1) 2020: 6008-6018 - [c33]Dayiheng Liu, Yeyun Gong, Yu Yan, Jie Fu, Bo Shao, Daxin Jiang, Jiancheng Lv, Nan Duan:
Diverse, Controllable, and Keyphrase-Aware: A Corpus and Method for News Multi-Headline Generation. EMNLP (1) 2020: 6241-6250 - [c32]Mucheng Ren, Xiubo Geng, Tao Qin, Heyan Huang, Daxin Jiang:
Towards Interpretable Reasoning over Paragraph Effects in Situation. EMNLP (1) 2020: 6745-6758 - [c31]Tao Shen, Xiubo Geng, Guodong Long, Jing Jiang, Chengqi Zhang, Daxin Jiang:
Effective Search of Logical Forms for Weakly Supervised Knowledge-Based Question Answering. IJCAI 2020: 2227-2233 - [c30]Linjun Shou, Shining Bo, Feixiang Cheng, Ming Gong, Jian Pei, Daxin Jiang:
Mining Implicit Relevance Feedback from User Behavior for Web Question Answering. KDD 2020: 2931-2941 - [c29]Ping Nie, Yuyu Zhang, Xiubo Geng, Arun Ramamurthy, Le Song, Daxin Jiang:
DC-BERT: Decoupling Question and Document for Efficient Contextual Encoding. SIGIR 2020: 1829-1832 - [c28]Ze Yang, Linjun Shou, Ming Gong, Wutao Lin, Daxin Jiang:
Model Compression with Two-stage Multi-teacher Knowledge Distillation for Web Question Answering System. WSDM 2020: 690-698 - [i37]Ruize Wang, Duyu Tang, Nan Duan, Zhongyu Wei, Xuanjing Huang, Jianshu Ji, Guihong Cao, Daxin Jiang, Ming Zhou:
K-Adapter: Infusing Knowledge into Pre-Trained Models with Adapters. CoRR abs/2002.01808 (2020) - [i36]Zhangyin Feng, Daya Guo, Duyu Tang, Nan Duan, Xiaocheng Feng, Ming Gong, Linjun Shou, Bing Qin, Ting Liu, Daxin Jiang, Ming Zhou:
CodeBERT: A Pre-Trained Model for Programming and Natural Languages. CoRR abs/2002.08155 (2020) - [i35]Yuyu Zhang, Ping Nie, Xiubo Geng, Arun Ramamurthy, Le Song, Daxin Jiang:
DC-BERT: Decoupling Question and Document for Efficient Contextual Encoding. CoRR abs/2002.12591 (2020) - [i34]Yaobo Liang, Nan Duan, Yeyun Gong, Ning Wu, Fenfei Guo, Weizhen Qi, Ming Gong, Linjun Shou, Daxin Jiang, Guihong Cao, Xiaodong Fan, Bruce Zhang, Rahul Agrawal, Edward Cui, Sining Wei, Taroon Bharti, Ying Qiao, Jiun-Hung Chen, Winnie Wu, Shuguang Liu, Fan Yang, Rangan Majumder, Ming Zhou:
XGLUE: A New Benchmark Dataset for Cross-lingual Pre-training, Understanding and Generation. CoRR abs/2004.01401 (2020) - [i33]Daya Guo, Akari Asai, Duyu Tang, Nan Duan, Ming Gong, Linjun Shou, Daxin Jiang, Jian Yin, Ming Zhou:
Inferential Text Generation with Multiple Knowledge Sources and Meta-Learning. CoRR abs/2004.03070 (2020) - [i32]Dayiheng Liu, Yeyun Gong, Jie Fu, Wei Liu, Yu Yan, Bo Shao, Daxin Jiang, Jiancheng Lv, Nan Duan:
Diverse, Controllable, and Keyphrase-Aware: A Corpus and Method for News Multi-Headline Generation. CoRR abs/2004.03875 (2020) - [i31]Shangwen Lv, Yuechen Wang, Daya Guo, Duyu Tang, Nan Duan, Fuqing Zhu, Ming Gong, Linjun Shou, Ryan Ma, Daxin Jiang, Guihong Cao, Ming Zhou, Songlin Hu:
Pre-training Text Representations as Meta Learning. CoRR abs/2004.05568 (2020) - [i30]Wanjun Zhong, Duyu Tang, Zhangyin Feng, Nan Duan, Ming Zhou, Ming Gong, Linjun Shou, Daxin Jiang, Jiahai Wang, Jian Yin:
LogicalFactChecker: Leveraging Logical Operations for Fact Checking with Graph Module Network. CoRR abs/2004.13659 (2020) - [i29]Fei Yuan, Linjun Shou, Xuanyu Bai, Ming Gong, Yaobo Liang, Nan Duan, Yan Fu, Daxin Jiang:
Enhancing Answer Boundary Detection for Multilingual Machine Reading Comprehension. CoRR abs/2004.14069 (2020) - [i28]Ruize Wang, Duyu Tang, Nan Duan, Wanjun Zhong, Zhongyu Wei, Xuanjing Huang, Daxin Jiang, Ming Zhou:
Leveraging Declarative Knowledge in Text and First-Order Logic for Fine-Grained Propaganda Detection. CoRR abs/2004.14201 (2020) - [i27]Dayiheng Liu, Yeyun Gong, Jie Fu, Yu Yan, Jiusheng Chen, Daxin Jiang, Jiancheng Lv, Nan Duan:
RikiNet: Reading Wikipedia Pages for Natural Question Answering. CoRR abs/2004.14560 (2020) - [i26]Bo Zheng, Haoyang Wen, Yaobo Liang, Nan Duan, Wanxiang Che, Daxin Jiang, Ming Zhou, Ting Liu:
Document Modeling with Graph Attention Networks for Multi-grained Machine Reading Comprehension. CoRR abs/2005.05806 (2020) - [i25]Linjun Shou, Shining Bo, Feixiang Cheng, Ming Gong, Jian Pei, Daxin Jiang:
Mining Implicit Relevance Feedback from User Behavior for Web Question Answering. CoRR abs/2006.07581 (2020) - [i24]Daya Guo, Duyu Tang, Nan Duan, Jian Yin, Daxin Jiang, Ming Zhou:
Evidence-Aware Inferential Text Generation with Vector Quantised Variational AutoEncoder. CoRR abs/2006.08101 (2020) - [i23]Ruijian Xu, Chongyang Tao, Daxin Jiang, Xueliang Zhao, Dongyan Zhao, Rui Yan:
Learning an Effective Context-Response Matching Model with Self-Supervised Tasks for Retrieval-based Dialogues. CoRR abs/2009.06265 (2020) - [i22]Daya Guo, Shuo Ren, Shuai Lu, Zhangyin Feng, Duyu Tang, Shujie Liu, Long Zhou, Nan Duan, Alexey Svyatkovskiy, Shengyu Fu, Michele Tufano, Shao Kun Deng, Colin B. Clement, Dawn Drain, Neel Sundaresan, Jian Yin, Daxin Jiang, Ming Zhou:
GraphCodeBERT: Pre-training Code Representations with Data Flow. CoRR abs/2009.08366 (2020) - [i21]Chujie Zheng, Yunbo Cao, Daxin Jiang, Minlie Huang:
Difference-aware Knowledge Selection for Knowledge-grounded Conversation Generation. CoRR abs/2009.09378 (2020) - [i20]Huaishao Luo, Lei Ji, Tianrui Li, Nan Duan, Daxin Jiang:
GRACE: Gradient Harmonized and Cascaded Labeling for Aspect-based Sentiment Analysis. CoRR abs/2009.10557 (2020) - [i19]Xuguang Wang, Linjun Shou, Ming Gong, Nan Duan, Daxin Jiang:
No Answer is Better Than Wrong Answer: A Reflection Model for Document Level Machine Reading Comprehension. CoRR abs/2009.12056 (2020) - [i18]Zhihan Zhang, Xiubo Geng, Tao Qin, Yunfang Wu, Daxin Jiang:
Knowledge-Aware Procedural Text Understanding with Multi-Stage Training. CoRR abs/2009.13199 (2020) - [i17]Mucheng Ren, Xiubo Geng, Tao Qin, Heyan Huang, Daxin Jiang:
Towards Interpretable Reasoning over Paragraph Effects in Situation. CoRR abs/2010.01272 (2020) - [i16]Xingyao Zhang, Linjun Shou, Jian Pei, Ming Gong, Lijie Wen, Daxin Jiang:
A Graph Representation of Semi-structured Data for Web Question Answering. CoRR abs/2010.06801 (2020) - [i15]Junhao Liu, Linjun Shou, Jian Pei, Ming Gong, Min Yang, Daxin Jiang:
Cross-lingual Machine Reading Comprehension with Language Branch Knowledge Distillation. CoRR abs/2010.14271 (2020) - [i14]Shining Liang, Linjun Shou, Jian Pei, Ming Gong, Wanli Zuo, Daxin Jiang:
CalibreNet: Calibration Networks for Multilingual Sequence Labeling. CoRR abs/2011.05723 (2020) - [i13]Dayiheng Liu, Yu Yan, Yeyun Gong, Weizhen Qi, Hang Zhang, Jian Jiao, Weizhu Chen, Jie Fu, Linjun Shou, Ming Gong, Pengcheng Wang, Jiusheng Chen, Daxin Jiang, Jiancheng Lv, Ruofei Zhang, Winnie Wu, Ming Zhou, Nan Duan:
GLGE: A New General Language Generation Evaluation Benchmark. CoRR abs/2011.11928 (2020) - [i12]Fei Yuan, Linjun Shou, Jian Pei, Wutao Lin, Ming Gong, Yan Fu, Daxin Jiang:
Reinforced Multi-Teacher Selection for Knowledge Distillation. CoRR abs/2012.06048 (2020) - [i11]Zenan Xu, Daya Guo, Duyu Tang, Qinliang Su, Linjun Shou, Ming Gong, Wanjun Zhong, Xiaojun Quan, Nan Duan, Daxin Jiang:
Syntax-Enhanced Pre-trained Model. CoRR abs/2012.14116 (2020)
2010 – 2019
- 2019
- [c27]Changzhi Sun, Yeyun Gong, Yuanbin Wu, Ming Gong, Daxin Jiang, Man Lan, Shiliang Sun, Nan Duan:
Joint Type Inference on Entities and Relations via Graph Convolutional Networks. ACL (1) 2019: 1361-1370 - [c26]Ming Gong, Linjun Shou, Wutao Lin, Zhijie Sang, Quanjia Yan, Ze Yang, Feixiang Cheng, Daxin Jiang:
NeuronBlocks: Building Your NLP DNN Models Like Playing Lego. EMNLP/IJCNLP (3) 2019: 163-168 - [c25]Tao Shen, Xiubo Geng, Tao Qin, Daya Guo, Duyu Tang, Nan Duan, Guodong Long, Daxin Jiang:
Multi-Task Learning for Conversational Question Answering over a Large-Scale Knowledge Base. EMNLP/IJCNLP (1) 2019: 2442-2451 - [c24]Haoyang Huang, Yaobo Liang, Nan Duan, Ming Gong, Linjun Shou, Daxin Jiang, Ming Zhou:
Unicoder: A Universal Language Encoder by Pre-training with Multiple Cross-lingual Tasks. EMNLP/IJCNLP (1) 2019: 2485-2494 - [i10]Ming Gong, Linjun Shou, Wutao Lin, Zhijie Sang, Quanjia Yan, Ze Yang, Daxin Jiang:
NeuronBlocks - Building Your NLP DNN Models Like Playing Lego. CoRR abs/1904.09535 (2019) - [i9]Ze Yang, Linjun Shou, Ming Gong, Wutao Lin, Daxin Jiang:
Model Compression with Multi-Task Knowledge Distillation for Web-scale Question Answering System. CoRR abs/1904.09636 (2019) - [i8]Gen Li, Nan Duan, Yuejian Fang, Daxin Jiang, Ming Zhou:
Unicoder-VL: A Universal Encoder for Vision and Language by Cross-modal Pre-training. CoRR abs/1908.06066 (2019) - [i7]Haoyang Huang, Yaobo Liang, Nan Duan, Ming Gong, Linjun Shou, Daxin Jiang, Ming Zhou:
Unicoder: A Universal Language Encoder by Pre-training with Multiple Cross-lingual Tasks. CoRR abs/1909.00964 (2019) - [i6]Tao Shen, Xiubo Geng, Tao Qin, Guodong Long, Jing Jiang, Daxin Jiang:
Effective Search of Logical Forms for Weakly Supervised Knowledge-Based Question Answering. CoRR abs/1909.02762 (2019) - [i5]Shangwen Lv, Daya Guo, Jingjing Xu, Duyu Tang, Nan Duan, Ming Gong, Linjun Shou, Daxin Jiang, Guihong Cao, Songlin Hu:
Graph-Based Reasoning over Heterogeneous External Knowledge for Commonsense Question Answering. CoRR abs/1909.05311 (2019) - [i4]Yibo Sun, Duyu Tang, Nan Duan, Yeyun Gong, Xiaocheng Feng, Bing Qin, Daxin Jiang:
Neural Semantic Parsing in Low-Resource Settings with Back-Translation and Meta-Learning. CoRR abs/1909.05438 (2019) - [i3]Tao Shen, Xiubo Geng, Tao Qin, Daya Guo, Duyu Tang, Nan Duan, Guodong Long, Daxin Jiang:
Multi-Task Learning for Conversational Question Answering over a Large-Scale Knowledge Base. CoRR abs/1910.05069 (2019) - [i2]Ze Yang, Linjun Shou, Ming Gong, Wutao Lin, Daxin Jiang:
Model Compression with Two-stage Multi-teacher Knowledge Distillation for Web Question Answering System. CoRR abs/1910.08381 (2019) - 2018
- [c23]Zhao Yan, Duyu Tang, Nan Duan, Shujie Liu, Wendi Wang, Daxin Jiang, Ming Zhou, Zhoujun Li:
Assertion-Based QA With Question-Aware Open Information Extraction. AAAI 2018: 6021-6028 - [i1]Zhao Yan, Duyu Tang, Nan Duan, Shujie Liu, Wendi Wang, Daxin Jiang, Ming Zhou, Zhoujun Li:
Assertion-based QA with Question-Aware Open Information Extraction. CoRR abs/1801.07414 (2018) - 2016
- [c22]Yangyang Shi, Kaisheng Yao, Le Tian, Daxin Jiang:
Deep LSTM based Feature Mapping for Query Classification. HLT-NAACL 2016: 1501-1511 - 2013
- [j10]Daxin Jiang, Jian Pei, Hang Li:
Mining search and browse logs for web search: A Survey. ACM Trans. Intell. Syst. Technol. 4(4): 57:1-57:37 (2013) - [j9]Zhen Liao, Daxin Jiang, Jian Pei, Yalou Huang, Enhong Chen, Huanhuan Cao, Hang Li:
A vlHMM approach to context-aware search. ACM Trans. Web 7(4): 22:1-22:38 (2013) - [j8]Yi Cui, Jian Pei, Guanting Tang, Wo-Shun Luk, Daxin Jiang, Ming Hua:
Finding email correspondents in online social networks. World Wide Web 16(2): 195-218 (2013) - 2012
- [c21]Xiaobing Xue, Yu Tao, Daxin Jiang, Hang Li:
Automatically Mining Question Reformulation Patterns from Search Log Data. ACL (2) 2012: 187-192 - [c20]Yunhua Hu, Ya-nan Qian, Hang Li, Daxin Jiang, Jian Pei, Qinghua Zheng:
Mining query subtopics from search log data. SIGIR 2012: 305-314 - 2011
- [j7]Zhen Liao, Daxin Jiang, Enhong Chen, Jian Pei, Huanhuan Cao, Hang Li:
Mining Concept Sequences from Large-Scale Search Logs for Context-Aware Query Suggestion. ACM Trans. Intell. Syst. Technol. 3(1): 17:1-17:40 (2011) - [c19]Daxin Jiang:
Web Search and Browse Log Mining: Challenges, Methods, and Applications. DASFAA (2) 2011: 465-466 - [c18]Daxin Jiang, Jian Pei, Hang Li:
Enhancing web search by mining search and browse logs. SIGIR 2011: 1295-1296 - [c17]Dongyeop Kang, Daxin Jiang, Jian Pei, Zhen Liao, Xiaohui Sun, Ho-Jin Choi:
Multidimensional mining of large-scale search logs: a topic-concept cube approach. WSDM 2011: 385-394 - 2010
- [j6]Zhenhua Lin, Bin Jiang, Jian Pei, Daxin Jiang:
Mining discriminative items in multiple data streams. World Wide Web 13(4): 497-522 (2010) - [c16]Biao Xiang, Daxin Jiang, Jian Pei, Xiaohui Sun, Enhong Chen, Hang Li:
Context-aware ranking in web search. SIGIR 2010: 451-458 - [c15]Daxin Jiang, Jian Pei, Hang Li:
Search and browse log mining for web information retrieval: challenges, methods, and applications. SIGIR 2010: 912 - [c14]Daxin Jiang, Jian Pei, Hang Li:
Web search/browse log mining: challenges, methods, and applications. WWW 2010: 1351-1352
2000 – 2009
- 2009
- [j5]Daxin Jiang, Jian Pei:
Mining frequent cross-graph quasi-cliques. ACM Trans. Knowl. Discov. Data 2(4): 16:1-16:42 (2009) - [c13]Qi He, Daxin Jiang, Zhen Liao, Steven C. H. Hoi, Kuiyu Chang, Ee-Peng Lim, Hang Li:
Web Query Recommendation via Sequential Query Prediction. ICDE 2009: 1443-1454 - [c12]Bin Zhou, Daxin Jiang, Jian Pei, Hang Li:
OLAP on search logs: an infrastructure supporting data-driven applications in search engines. KDD 2009: 1395-1404 - [c11]Huanhuan Cao, Derek Hao Hu, Dou Shen, Daxin Jiang, Jian-Tao Sun, Enhong Chen, Qiang Yang:
Context-aware query classification. SIGIR 2009: 3-10 - [c10]Huanhuan Cao, Daxin Jiang, Jian Pei, Enhong Chen, Hang Li:
Towards context-aware search by learning a very large variable length hidden markov model from search logs. WWW 2009: 191-200 - 2008
- [c9]Huanhuan Cao, Daxin Jiang, Jian Pei, Qi He, Zhen Liao, Enhong Chen, Hang Li:
Context-aware query suggestion by mining click-through and session data. KDD 2008: 875-883 - 2007
- [j4]Daxin Jiang, Jian Pei, Murali Ramanathan, Chuan Lin, Chun Tang, Aidong Zhang:
Mining gene-sample-time microarray data: a coherent gene cluster discovery approach. Knowl. Inf. Syst. 13(3): 305-335 (2007) - 2006
- [c8]Chuan Lin, Daxin Jiang, Aidong Zhang:
Prediction of Protein Function Using Common-Neighbors in Protein-Protein Interaction Networks. BIBE 2006: 251-260 - 2005
- [j3]Daxin Jiang, Jian Pei, Aidong Zhang:
An Interactive Approach to Mining Gene Expression Data. IEEE Trans. Knowl. Data Eng. 17(10): 1363-1378 (2005) - [c7]Daxin Jiang, Jian Pei, Aidong Zhang:
A General Approach to Mining Quality Pattern-Based Clusters from Microarray Data. DASFAA 2005: 188-200 - [c6]Jian Pei, Daxin Jiang, Aidong Zhang:
Mining Cross-Graph Quasi-Cliques in Gene Expression and Protein Interaction Data. ICDE 2005: 353-354 - [c5]Jian Pei, Daxin Jiang, Aidong Zhang:
On mining cross-graph quasi-cliques. KDD 2005: 228-238 - 2004
- [j2]Daxin Jiang, Chun Tang, Aidong Zhang:
Cluster Analysis for Gene Expression Data: A Survey. IEEE Trans. Knowl. Data Eng. 16(11): 1370-1386 (2004) - [c4]Daxin Jiang, Jian Pei, Murali Ramanathan, Chun Tang, Aidong Zhang:
Mining coherent gene clusters from gene-sample-time microarray data. KDD 2004: 430-439 - [c3]Daxin Jiang, Jian Pei, Aidong Zhang:
GPX: Interactive Mining of Gene Expression Data. VLDB 2004: 1249-1252 - 2003
- [j1]Daxin Jiang, Jian Pei, Aidong Zhang:
Towards interactive exploration of gene expression patterns. SIGKDD Explor. 5(2): 79-90 (2003) - [c2]Daxin Jiang, Jian Pei, Aidong Zhang:
DHC: A Density-Based Hierarchical Clustering Method for Time Series Gene Expression Dat. BIBE 2003: 393-400 - [c1]Daxin Jiang, Jian Pei, Aidong Zhang:
Interactive exploration of coherent patterns in time-series gene expression data. KDD 2003: 565-570
Coauthor Index
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