Daxin Jiang
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
149
Venues
25
Active years
2003–2026
Best venue rank
A*
Where they publish
- A*ACL36 papers
- A*EMNLP30 papers
- A*AAAI13 papers
- A*KDD10 papers
- A*ICLR8 papers
- A*WWW7 papers
- ANAACL6 papers
- A*SIGIR6 papers
- BCOLING4 papers
- AWSDM4 papers
- ACIKM3 papers
- A*IJCAI3 papers
- A*ASPLOS2 papers
- A*SIGCOMM2 papers
- ARecSys2 papers
- BDASFAA2 papers
- A*ICDE2 papers
- CBIBE2 papers
- A*CVPR1 paper
- AECAI1 paper
- A*ICCV1 paper
- A*ECCV1 paper
- BIJCNLP1 paper
- AInterspeech1 paper
- A*VLDB1 paper
Papers
149 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | AAAI | GitTaskBench: A Benchmark for Code Agents Solving Real-World Tasks Through Code Repository Leveraging. | Ziyi Ni, Huacan Wang, Shuo Zhang, Shuo Lu, Ziyang He, Wang You, Zhenheng Tang, Sen Hu, Bo Li, Chen Hu, Binxing Jiao, Daxin Jiang, Yuntao Du, Pin Lyu |
| 2026 | AAAI | Learning to Compress: Unlocking the Potential of Large Language Models for Text Representation. | Yeqin Zhang, Yizheng Zhao, Chen Hu, Binxing Jiao, Daxin Jiang, Ruihang Miao, Cam-Tu Nguyen |
| 2026 | ACL | PRIME: A Process-Outcome Alignment Benchmark for Verifiable Reasoning in Mathematics and Engineering. | Xiangfeng Wang, Hangyu Guo, Yanlin Lai, Mitt Huang, Liang Zhao, Chengyuan Yao, Yinmin Zhang, Qi Han, Xiaoxiao Ren, Chun Yuan, Tong Xu, Zheng Ge, Xiangyu Zhang, Daxin Jiang |
| 2026 | ASPLOS | Dynamic Sparsity in Large-Scale Video DiT Training. | Xin Tan, Yuetao Chen, Yimin Jiang, Xing Chen, Kun Yan, Nan Duan, Yibo Zhu, Daxin Jiang, Hong Xu |
| 2026 | ASPLOS | DIP: Efficient Large Multimodal Model Training with Dynamic Interleaved Pipeline. | Zhenliang Xue, Hanpeng Hu, Xing Chen, Yimin Jiang, Yixin Song, Zeyu Mi, Yibo Zhu, Daxin Jiang, Yubin Xia, Haibo Chen |
| 2025 | EMNLP | LAVa: Layer-wise KV Cache Eviction with Dynamic Budget Allocation. | Yiqun Shen, Song Yuan, Zhengze Zhang, Xiaoliang Wang, Daxin Jiang, Cam-Tu Nguyen |
| 2025 | EMNLP | Beyond the First Error: Process Reward Models for Reflective Mathematical Reasoning. | Zhaohui Yang, Chenghua He, Xiaowen Shi, Shihong Deng, Linjing Li, Qiyue Yin, Daxin Jiang |
| 2025 | EMNLP | Unearthing Gems from Stones: Policy Optimization with Negative Sample Augmentation for LLM Reasoning. | Zhaohui Yang, Yuxiao Ye, Shilei Jiang, Shihong Deng, Chen Hu, Linjing Li, Daxin Jiang |
| 2025 | SIGCOMM | InfiniteHBD: Building Datacenter-Scale High-Bandwidth Domain for LLM with Optical Circuit Switching Transceivers. | Chenchen Shou, Guyue Liu, Hao Nie, Huaiyu Meng, Yu Zhou, Yimin Jiang, Wenqing Lv, Yelong Xu, Yuanwei Lu, Zhang Chen, Yanbo Yu, Yichen Shen, Yibo Zhu, Daxin Jiang |
| 2025 | SIGCOMM | DistTrain: Addressing Model and Data Heterogeneity with Disaggregated Training for Multimodal Large Language Models. | Zili Zhang, Yinmin Zhong, Yimin Jiang, Hanpeng Hu, Jianjian Sun, Zheng Ge, Yibo Zhu, Daxin Jiang, Xin Jin |
| 2024 | AAAI | Fine-Grained Distillation for Long Document Retrieval. | Yucheng Zhou, Tao Shen, Xiubo Geng, Chongyang Tao, Jianbing Shen, Guodong Long, Can Xu, Daxin Jiang |
| 2024 | ACL | Retrieval-Augmented Retrieval: Large Language Models are Strong Zero-Shot Retriever. | Tao Shen, Guodong Long, Xiubo Geng, Chongyang Tao, Yibin Lei, Tianyi Zhou, Michael Blumenstein, Daxin Jiang |
| 2024 | ACL | Synergistic Interplay between Search and Large Language Models for Information Retrieval. | Jiazhan Feng, Chongyang Tao, Xiubo Geng, Tao Shen, Can Xu, Guodong Long, Dongyan Zhao, Daxin Jiang |
| 2024 | ACL | ADAM: Dense Retrieval Distillation with Adaptive Dark Examples. | Chongyang Tao, Chang Liu, Tao Shen, Can Xu, Xiubo Geng, Binxing Jiao, Daxin Jiang |
| 2024 | COLING | Pre-training Cross-Modal Retrieval by Expansive Lexicon-Patch Alignment. | Yiyuan Yang, Guodong Long, Michael Blumenstein, Xiubo Geng, Chongyang Tao, Tao Shen, Daxin Jiang |
| 2024 | ICLR | WizardCoder: Empowering Code Large Language Models with Evol-Instruct. | Ziyang Luo, Can Xu, Pu Zhao, Qingfeng Sun, Xiubo Geng, Wenxiang Hu, Chongyang Tao, Jing Ma, Qingwei Lin, Daxin Jiang |
| 2024 | ICLR | WizardLM: Empowering Large Pre-Trained Language Models to Follow Complex Instructions. | Can Xu, Qingfeng Sun, Kai Zheng, Xiubo Geng, Pu Zhao, Jiazhan Feng, Chongyang Tao, Qingwei Lin, Daxin Jiang |
| 2023 | AAAI | WIERT: Web Information Extraction via Render Tree. | Zimeng Li, Bo Shao, Linjun Shou, Ming Gong, Gen Li, Daxin Jiang |
| 2023 | AAAI | A Graph Fusion Approach for Cross-Lingual Machine Reading Comprehension. | Zenan Xu, Linjun Shou, Jian Pei, Ming Gong, Qinliang Su, Xiaojun Quan, Daxin Jiang |
| 2023 | ACL | Alleviating Over-smoothing for Unsupervised Sentence Representation. | Nuo Chen, Linjun Shou, Jian Pei, Ming Gong, Bowen Cao, Jianhui Chang, Jia Li, Daxin Jiang |
| 2023 | ACL | Structural Contrastive Pretraining for Cross-Lingual Comprehension. | Nuo Chen, Linjun Shou, Tengtao Song, Ming Gong, Jian Pei, Jianhui Chang, Daxin Jiang, Jia Li |
| 2023 | ACL | FAA: Fine-grained Attention Alignment for Cascade Document Ranking. | Zhen Li, Chongyang Tao, Jiazhan Feng, Tao Shen, Dongyan Zhao, Xiubo Geng, Daxin Jiang |
| 2023 | ACL | Code Execution with Pre-trained Language Models. | Chenxiao Liu, Shuai Lu, Weizhu Chen, Daxin Jiang, Alexey Svyatkovskiy, Shengyu Fu, Neel Sundaresan, Nan Duan |
| 2023 | ACL | CORE: Cooperative Training of Retriever-Reranker for Effective Dialogue Response Selection. | Chongyang Tao, Jiazhan Feng, Tao Shen, Chang Liu, Juntao Li, Xiubo Geng, Daxin Jiang |
| 2023 | ACL | SimLM: Pre-training with Representation Bottleneck for Dense Passage Retrieval. | Liang Wang, Nan Yang, Xiaolong Huang, Binxing Jiao, Linjun Yang, Daxin Jiang, Rangan Majumder, Furu Wei |
| 2023 | ACL | Towards Robust Ranker for Text Retrieval. | Yucheng Zhou, Tao Shen, Xiubo Geng, Chongyang Tao, Can Xu, Guodong Long, Binxing Jiao, Daxin Jiang |
| 2023 | CIKM | RUEL: Retrieval-Augmented User Representation with Edge Browser Logs for Sequential Recommendation. | Ning Wu, Ming Gong, Linjun Shou, Jian Pei, Daxin Jiang |
| 2023 | CVPR | Iterative Proposal Refinement for Weakly-Supervised Video Grounding. | Meng Cao, Fangyun Wei, Can Xu, Xiubo Geng, Long Chen, Can Zhang, Yuexian Zou, Tao Shen, Daxin Jiang |
| 2023 | ECAI | Investigating the Learning Behaviour of In-Context Learning: A Comparison with Supervised Learning. | Xindi Wang, Yufei Wang, Can Xu, Xiubo Geng, Bowen Zhang, Chongyang Tao, Frank Rudzicz, Robert E. Mercer, Daxin Jiang |
| 2023 | EMNLP | Allies: Prompting Large Language Model with Beam Search. | Hao Sun, Xiao Liu, Yeyun Gong, Yan Zhang, Daxin Jiang, Linjun Yang, Nan Duan |
| 2023 | EMNLP | Instructed Language Models with Retrievers Are Powerful Entity Linkers. | Zilin Xiao, Ming Gong, Jie Wu, Xingyao Zhang, Linjun Shou, Daxin Jiang |
| 2023 | EMNLP | Coherent Entity Disambiguation via Modeling Topic and Categorical Dependency. | Zilin Xiao, Linjun Shou, Xingyao Zhang, Jie Wu, Ming Gong, Daxin Jiang |
| 2023 | ICCV | LexLIP: Lexicon-Bottlenecked Language-Image Pre-Training for Large-Scale Image-Text Sparse Retrieval. | Ziyang Luo, Pu Zhao, Can Xu, Xiubo Geng, Tao Shen, Chongyang Tao, Jing Ma, Qingwei Lin, Daxin Jiang |
| 2023 | ICLR | LexMAE: Lexicon-Bottlenecked Pretraining for Large-Scale Retrieval. | Tao Shen, Xiubo Geng, Chongyang Tao, Can Xu, Xiaolong Huang, Binxing Jiao, Linjun Yang, Daxin Jiang |
| 2023 | ICLR | KnowDA: All-in-One Knowledge Mixture Model for Data Augmentation in Low-Resource NLP. | Yufei Wang, Jiayi Zheng, Can Xu, Xiubo Geng, Tao Shen, Chongyang Tao, Daxin Jiang |
| 2023 | ICLR | HypeR: Multitask Hyper-Prompted Training Enables Large-Scale Retrieval Generalization. | Zefeng Cai, Chongyang Tao, Tao Shen, Can Xu, Xiubo Geng, Xin Alex Lin, Liang He, Daxin Jiang |
| 2023 | ICLR | Modeling Sequential Sentence Relation to Improve Cross-lingual Dense Retrieval. | Shunyu Zhang, Yaobo Liang, Ming Gong, Daxin Jiang, Nan Duan |
| 2023 | KDD | UnifieR: A Unified Retriever for Large-Scale Retrieval. | Tao Shen, Xiubo Geng, Chongyang Tao, Can Xu, Guodong Long, Kai Zhang, Daxin Jiang |
| 2023 | WWW | PROD: Progressive Distillation for Dense Retrieval. | Zhenghao Lin, Yeyun Gong, Xiao Liu, Hang Zhang, Chen Lin, Anlei Dong, Jian Jiao, Jingwen Lu, Daxin Jiang, Rangan Majumder, Nan Duan |
| 2023 | WWW | LED: Lexicon-Enlightened Dense Retriever for Large-Scale Retrieval. | Kai Zhang, Chongyang Tao, Tao Shen, Can Xu, Xiubo Geng, Binxing Jiao, Daxin Jiang |
| 2022 | AAAI | FORCE: A Framework of Rule-Based Conversational Recommender System. | 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 |
| 2022 | ACL | PromDA: Prompt-based Data Augmentation for Low-Resource NLU Tasks. | Yufei Wang, Can Xu, Qingfeng Sun, Huang Hu, Chongyang Tao, Xiubo Geng, Daxin Jiang |
| 2022 | ACL | THE-X: Privacy-Preserving Transformer Inference with Homomorphic Encryption. | Tianyu Chen, Hangbo Bao, Shaohan Huang, Li Dong, Binxing Jiao, Daxin Jiang, Haoyi Zhou, Jianxin Li, Furu Wei |
| 2022 | ACL | Contextual Fine-to-Coarse Distillation for Coarse-grained Response Selection in Open-Domain Conversations. | Wei Chen, Yeyun Gong, Can Xu, Huang Hu, Bolun Yao, Zhongyu Wei, Zhihao Fan, Xiaowu Hu, Bartuer Zhou, Biao Cheng, Daxin Jiang, Nan Duan |
| 2022 | ACL | HeterMPC: A Heterogeneous Graph Neural Network for Response Generation in Multi-Party Conversations. | Jia-Chen Gu, Chao-Hong Tan, Chongyang Tao, Zhen-Hua Ling, Huang Hu, Xiubo Geng, Daxin Jiang |
| 2022 | ACL | Multimodal Dialogue Response Generation. | Qingfeng Sun, Yujing Wang, Can Xu, Kai Zheng, Yaming Yang, Huang Hu, Fei Xu, Jessica Zhang, Xiubo Geng, Daxin Jiang |
| 2022 | ACL | TegTok: Augmenting Text Generation via Task-specific and Open-world Knowledge. | Chao-Hong Tan, Jia-Chen Gu, Chongyang Tao, Zhen-Hua Ling, Can Xu, Huang Hu, Xiubo Geng, Daxin Jiang |
| 2022 | ACL | Logic-Driven Context Extension and Data Augmentation for Logical Reasoning of Text. | Siyuan Wang, Wanjun Zhong, Duyu Tang, Zhongyu Wei, Zhihao Fan, Daxin Jiang, Ming Zhou, Nan Duan |
| 2022 | ACL | Multi-View Document Representation Learning for Open-Domain Dense Retrieval. | Shunyu Zhang, Yaobo Liang, Ming Gong, Daxin Jiang, Nan Duan |
| 2022 | ACL | ClarET: Pre-training a Correlation-Aware Context-To-Event Transformer for Event-Centric Generation and Classification. | Yucheng Zhou, Tao Shen, Xiubo Geng, Guodong Long, Daxin Jiang |
| 2022 | CIKM | Tiger: Transferable Interest Graph Embedding for Domain-Level Zero-Shot Recommendation. | Jianhuan Zhuo, Jianxun Lian, Lanling Xu, Ming Gong, Linjun Shou, Daxin Jiang, Xing Xie, Yinliang Yue |
| 2022 | COLING | Social Norms-Grounded Machine Ethics in Complex Narrative Situation. | Tao Shen, Xiubo Geng, Daxin Jiang |
| 2022 | ECCV | NWA: Visual Synthesis Pre-training for Neural visUal World creAtion. | Chenfei Wu, Jian Liang, Lei Ji, Fan Yang, Yuejian Fang, Daxin Jiang, Nan Duan |
| 2022 | EMNLP | PCL: Peer-Contrastive Learning with Diverse Augmentations for Unsupervised Sentence Embeddings. | Qiyu Wu, Chongyang Tao, Tao Shen, Can Xu, Xiubo Geng, Daxin Jiang |
| 2022 | EMNLP | Mixed-modality Representation Learning and Pre-training for Joint Table-and-Text Retrieval in OpenQA. | Junjie Huang, Wanjun Zhong, Qian Liu, Ming Gong, Daxin Jiang, Nan Duan |
| 2022 | EMNLP | Label-aware Multi-level Contrastive Learning for Cross-lingual Spoken Language Understanding. | Shining Liang, Linjun Shou, Jian Pei, Ming Gong, Wanli Zuo, Xianglin Zuo, Daxin Jiang |
| 2022 | EMNLP | Soft-Labeled Contrastive Pre-Training for Function-Level Code Representation. | Xiaonan Li, Daya Guo, Yeyun Gong, Yun Lin, Yelong Shen, Xipeng Qiu, Daxin Jiang, Weizhu Chen, Nan Duan |
| 2022 | EMNLP | CodeRetriever: A Large Scale Contrastive Pre-Training Method for Code Search. | Xiaonan Li, Yeyun Gong, Yelong Shen, Xipeng Qiu, Hang Zhang, Bolun Yao, Weizhen Qi, Daxin Jiang, Weizhu Chen, Nan Duan |
| 2022 | EMNLP | Lexicon-Enhanced Self-Supervised Training for Multilingual Dense Retrieval. | Houxing Ren, Linjun Shou, Jian Pei, Ning Wu, Ming Gong, Daxin Jiang |
| 2022 | EMNLP | Empowering Dual-Encoder with Query Generator for Cross-Lingual Dense Retrieval. | Houxing Ren, Linjun Shou, Ning Wu, Ming Gong, Daxin Jiang |
| 2022 | EMNLP | XLM-D: Decorate Cross-lingual Pre-training Model as Non-Autoregressive Neural Machine Translation. | Yong Wang, Shilin He, Guanhua Chen, Yun Chen, Daxin Jiang |
| 2022 | IJCAI | Unsupervised Context Aware Sentence Representation Pretraining for Multi-lingual Dense Retrieval. | Ning Wu, Yaobo Liang, Houxing Ren, Linjun Shou, Nan Duan, Ming Gong, Daxin Jiang |
| 2022 | IJCNLP | RecInDial: A Unified Framework for Conversational Recommendation with Pretrained Language Models. | Lingzhi Wang, Huang Hu, Lei Sha, Can Xu, Daxin Jiang, Kam-Fai Wong |
| 2022 | Interspeech | Small Changes Make Big Differences: Improving Multi-turn Response Selection in Dialogue Systems via Fine-Grained Contrastive Learning. | Yuntao Li, Can Xu, Huang Hu, Lei Sha, Yan Zhang, Daxin Jiang |
| 2022 | NAACL | Bridging the Gap between Language Models and Cross-Lingual Sequence Labeling. | Nuo Chen, Linjun Shou, Ming Gong, Jian Pei, Daxin Jiang |
| 2022 | NAACL | Understand before Answer: Improve Temporal Reading Comprehension via Precise Question Understanding. | Hao Huang, Xiubo Geng, Guodong Long, Daxin Jiang |
| 2022 | NAACL | Stylized Knowledge-Grounded Dialogue Generation via Disentangled Template Rewriting. | Qingfeng Sun, Can Xu, Huang Hu, Yujing Wang, Jian Miao, Xiubo Geng, Yining Chen, Fei Xu, Daxin Jiang |
| 2022 | RecSys | Combining Unstructured Content and Knowledge Graphs into Recommendation Datasets. | Weizhe Lin, Linjun Shou, Ming Gong, Jian Pei, Zhilin Wang, Bill Byrne, Daxin Jiang |
| 2022 | RecSys | Transformer-Empowered Content-Aware Collaborative Filtering. | Weizhe Lin, Linjun Shou, Ming Gong, Jian Pei, Zhilin Wang, Bill Byrne, Daxin Jiang |
| 2022 | WWW | EventBERT: A Pre-Trained Model for Event Correlation Reasoning. | Yucheng Zhou, Xiubo Geng, Tao Shen, Guodong Long, Daxin Jiang |
| 2022 | WSDM | Unsupervised Cross-Domain Adaptation for Response Selection Using Self-Supervised and Adversarial Training. | Jia Li, Chongyang Tao, Huang Hu, Can Xu, Yining Chen, Daxin Jiang |
| 2021 | AAAI | Integrating Pre-trained Model into Rule-based Dialogue Management. | Jun Quan, Meng Yang, Qiang Gan, Deyi Xiong, Yiming Liu, Yuchen Dong, Fangxin Ouyang, Jun Tian, Ruiling Deng, Yongzhi Li, Yang Yang, Daxin Jiang |
| 2021 | AAAI | Learning an Effective Context-Response Matching Model with Self-Supervised Tasks for Retrieval-based Dialogues. | Ruijian Xu, Chongyang Tao, Daxin Jiang, Xueliang Zhao, Dongyan Zhao, Rui Yan |
| 2021 | AAAI | Reinforced Multi-Teacher Selection for Knowledge Distillation. | Fei Yuan, Linjun Shou, Jian Pei, Wutao Lin, Ming Gong, Yan Fu, Daxin Jiang |
| 2021 | ACL | MPC-BERT: A Pre-Trained Language Model for Multi-Party Conversation Understanding. | Jia-Chen Gu, Chongyang Tao, Zhen-Hua Ling, Can Xu, Xiubo Geng, Daxin Jiang |
| 2021 | ACL | Reasoning over Entity-Action-Location Graph for Procedural Text Understanding. | Hao Huang, Xiubo Geng, Jian Pei, Guodong Long, Daxin Jiang |
| 2021 | ACL | CoSQA: 20, 000+ Web Queries for Code Search and Question Answering. | Junjie Huang, Duyu Tang, Linjun Shou, Ming Gong, Ke Xu, Daxin Jiang, Ming Zhou, Nan Duan |
| 2021 | ACL | Maria: A Visual Experience Powered Conversational Agent. | Zujie Liang, Huang Hu, Can Xu, Chongyang Tao, Xiubo Geng, Yining Chen, Fan Liang, Daxin Jiang |
| 2021 | ACL | GLGE: A New General Language Generation Evaluation Benchmark. | 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 |
| 2021 | ACL | ProphetNet-X: Large-Scale Pre-training Models for English, Chinese, Multi-lingual, Dialog, and Code Generation. | Weizhen Qi, Yeyun Gong, Yu Yan, Can Xu, Bolun Yao, Bartuer Zhou, Biao Cheng, Daxin Jiang, Jiusheng Chen, Ruofei Zhang, Houqiang Li, Nan Duan |
| 2021 | ACL | K-Adapter: Infusing Knowledge into Pre-Trained Models with Adapters. | Ruize Wang, Duyu Tang, Nan Duan, Zhongyu Wei, Xuanjing Huang, Jianshu Ji, Guihong Cao, Daxin Jiang, Ming Zhou |
| 2021 | ACL | Syntax-Enhanced Pre-trained Model. | Zenan Xu, Daya Guo, Duyu Tang, Qinliang Su, Linjun Shou, Ming Gong, Wanjun Zhong, Xiaojun Quan, Daxin Jiang, Nan Duan |
| 2021 | ACL | Modeling Event-Pair Relations in External Knowledge Graphs for Script Reasoning. | Yucheng Zhou, Xiubo Geng, Tao Shen, Jian Pei, Wenqiang Zhang, Daxin Jiang |
| 2021 | EMNLP | Learning to Ground Visual Objects for Visual Dialog. | Feilong Chen, Xiuyi Chen, Can Xu, Daxin Jiang |
| 2021 | EMNLP | Learning from Multiple Noisy Augmented Data Sets for Better Cross-Lingual Spoken Language Understanding. | Yingmei Guo, Linjun Shou, Jian Pei, Ming Gong, Mingxing Xu, Zhiyong Wu, Daxin Jiang |
| 2021 | EMNLP | WhiteningBERT: An Easy Unsupervised Sentence Embedding Approach. | Junjie Huang, Duyu Tang, Wanjun Zhong, Shuai Lu, Linjun Shou, Ming Gong, Daxin Jiang, Nan Duan |
| 2021 | EMNLP | Learning Neural Templates for Recommender Dialogue System. | Zujie Liang, Huang Hu, Can Xu, Jian Miao, Yingying He, Yining Chen, Xiubo Geng, Fan Liang, Daxin Jiang |
| 2021 | EMNLP | Re-entry Prediction for Online Conversations via Self-Supervised Learning. | Lingzhi Wang, Xingshan Zeng, Huang Hu, Kam-Fai Wong, Daxin Jiang |
| 2021 | ICLR | GraphCodeBERT: Pre-training Code Representations with Data Flow. | 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 |
| 2021 | ICLR | Dance Revolution: Long-Term Dance Generation with Music via Curriculum Learning. | Ruozi Huang, Huang Hu, Wei Wu, Kei Sawada, Mi Zhang, Daxin Jiang |
| 2021 | IJCAI | A Survey on Response Selection for Retrieval-based Dialogues. | Chongyang Tao, Jiazhan Feng, Rui Yan, Wei Wu, Daxin Jiang |
| 2021 | KDD | Reinforced Iterative Knowledge Distillation for Cross-Lingual Named Entity Recognition. | Shining Liang, Ming Gong, Jian Pei, Linjun Shou, Wanli Zuo, Xianglin Zuo, Daxin Jiang |
| 2021 | KDD | Language Scaling: Applications, Challenges and Approaches. | Linjun Shou, Ming Gong, Jian Pei, Xiubo Geng, Xingjie Zhou, Daxin Jiang |
| 2021 | KDD | Table2Charts: Recommending Charts by Learning Shared Table Representations. | Mengyu Zhou, Qingtao Li, Xinyi He, Yuejiang Li, Yibo Liu, Wei Ji, Shi Han, Yining Chen, Daxin Jiang, Dongmei Zhang |
| 2021 | NAACL | Language Scaling for Universal Suggested Replies Model. | Qianlan Ying, Payal Bajaj, Budhaditya Deb, Yu Yang, Wei Wang, Bojia Lin, Milad Shokouhi, Xia Song, Yang Yang, Daxin Jiang |
| 2021 | NAACL | Improving Zero-Shot Cross-lingual Transfer for Multilingual Question Answering over Knowledge Graph. | Yucheng Zhou, Xiubo Geng, Tao Shen, Wenqiang Zhang, Daxin Jiang |
| 2021 | WWW | Pivot-based Candidate Retrieval for Cross-lingual Entity Linking. | Qian Liu, Xiubo Geng, Jie Lu, Daxin Jiang |
| 2021 | WWW | Knowledge-Aware Procedural Text Understanding with Multi-Stage Training. | Zhihan Zhang, Xiubo Geng, Tao Qin, Yunfang Wu, Daxin Jiang |
| 2021 | WSDM | CalibreNet: Calibration Networks for Multilingual Sequence Labeling. | Shining Liang, Linjun Shou, Jian Pei, Ming Gong, Wanli Zuo, Daxin Jiang |
| 2020 | AAAI | Unicoder-VL: A Universal Encoder for Vision and Language by Cross-Modal Pre-Training. | Gen Li, Nan Duan, Yuejian Fang, Ming Gong, Daxin Jiang |
| 2020 | AAAI | Graph-Based Reasoning over Heterogeneous External Knowledge for Commonsense Question Answering. | Shangwen Lv, Daya Guo, Jingjing Xu, Duyu Tang, Nan Duan, Ming Gong, Linjun Shou, Daxin Jiang, Guihong Cao, Songlin Hu |
| 2020 | AAAI | Neural Semantic Parsing in Low-Resource Settings with Back-Translation and Meta-Learning. | Yibo Sun, Duyu Tang, Nan Duan, Yeyun Gong, Xiaocheng Feng, Bing Qin, Daxin Jiang |
| 2020 | ACL | Evidence-Aware Inferential Text Generation with Vector Quantised Variational AutoEncoder. | Daya Guo, Duyu Tang, Nan Duan, Jian Yin, Daxin Jiang, Ming Zhou |
| 2020 | ACL | RikiNet: Reading Wikipedia Pages for Natural Question Answering. | Dayiheng Liu, Yeyun Gong, Jie Fu, Yu Yan, Jiusheng Chen, Daxin Jiang, Jiancheng Lv, Nan Duan |
| 2020 | ACL | Enhancing Answer Boundary Detection for Multilingual Machine Reading Comprehension. | Fei Yuan, Linjun Shou, Xuanyu Bai, Ming Gong, Yaobo Liang, Nan Duan, Yan Fu, Daxin Jiang |
| 2020 | ACL | Document Modeling with Graph Attention Networks for Multi-grained Machine Reading Comprehension. | Bo Zheng, Haoyang Wen, Yaobo Liang, Nan Duan, Wanxiang Che, Daxin Jiang, Ming Zhou, Ting Liu |
| 2020 | ACL | LogicalFactChecker: Leveraging Logical Operations for Fact Checking with Graph Module Network. | Wanjun Zhong, Duyu Tang, Zhangyin Feng, Nan Duan, Ming Zhou, Ming Gong, Linjun Shou, Daxin Jiang, Jiahai Wang, Jian Yin |
| 2020 | CIKM | Learning to Generate Reformulation Actions for Scalable Conversational Query Understanding. | Zihan Xu, Jiangang Zhu, Ling Geng, Yang Yang, Bojia Lin, Daxin Jiang |
| 2020 | COLING | Cross-lingual Machine Reading Comprehension with Language Branch Knowledge Distillation. | Junhao Liu, Linjun Shou, Jian Pei, Ming Gong, Min Yang, Daxin Jiang |
| 2020 | COLING | A Graph Representation of Semi-structured Data for Web Question Answering. | Xingyao Zhang, Linjun Shou, Jian Pei, Ming Gong, Lijie Wen, Daxin Jiang |
| 2020 | EMNLP | CodeBERT: A Pre-Trained Model for Programming and Natural Languages. | Zhangyin Feng, Daya Guo, Duyu Tang, Nan Duan, Xiaocheng Feng, Ming Gong, Linjun Shou, Bing Qin, Ting Liu, Daxin Jiang, Ming Zhou |
| 2020 | EMNLP | XGLUE: A New Benchmark Datasetfor Cross-lingual Pre-training, Understanding and Generation. | 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 |
| 2020 | EMNLP | Diverse, Controllable, and Keyphrase-Aware: A Corpus and Method for News Multi-Headline Generation. | Dayiheng Liu, Yeyun Gong, Yu Yan, Jie Fu, Bo Shao, Daxin Jiang, Jiancheng Lv, Nan Duan |
| 2020 | EMNLP | GRACE: Gradient Harmonized and Cascaded Labeling for Aspect-based Sentiment Analysis. | Huaishao Luo, Lei Ji, Tianrui Li, Daxin Jiang, Nan Duan |
| 2020 | EMNLP | Towards Interpretable Reasoning over Paragraph Effects in Situation. | Mucheng Ren, Xiubo Geng, Tao Qin, Heyan Huang, Daxin Jiang |
| 2020 | EMNLP | No Answer is Better Than Wrong Answer: A Reflection Model for Document Level Machine Reading Comprehension. | Xuguang Wang, Linjun Shou, Ming Gong, Nan Duan, Daxin Jiang |
| 2020 | EMNLP | Leveraging Declarative Knowledge in Text and First-Order Logic for Fine-Grained Propaganda Detection. | Ruize Wang, Duyu Tang, Nan Duan, Wanjun Zhong, Zhongyu Wei, Xuanjing Huang, Daxin Jiang, Ming Zhou |
| 2020 | EMNLP | Difference-aware Knowledge Selection for Knowledge-grounded Conversation Generation. | Chujie Zheng, Yunbo Cao, Daxin Jiang, Minlie Huang |
| 2020 | IJCAI | Effective Search of Logical Forms for Weakly Supervised Knowledge-Based Question Answering. | Tao Shen, Xiubo Geng, Guodong Long, Jing Jiang, Chengqi Zhang, Daxin Jiang |
| 2020 | KDD | Mining Implicit Relevance Feedback from User Behavior for Web Question Answering. | Linjun Shou, Shining Bo, Feixiang Cheng, Ming Gong, Jian Pei, Daxin Jiang |
| 2020 | SIGIR | DC-BERT: Decoupling Question and Document for Efficient Contextual Encoding. | Ping Nie, Yuyu Zhang, Xiubo Geng, Arun Ramamurthy, Le Song, Daxin Jiang |
| 2020 | WSDM | Model Compression with Two-stage Multi-teacher Knowledge Distillation for Web Question Answering System. | Ze Yang, Linjun Shou, Ming Gong, Wutao Lin, Daxin Jiang |
| 2019 | ACL | Joint Type Inference on Entities and Relations via Graph Convolutional Networks. | Changzhi Sun, Yeyun Gong, Yuanbin Wu, Ming Gong, Daxin Jiang, Man Lan, Shiliang Sun, Nan Duan |
| 2019 | EMNLP | NeuronBlocks: Building Your NLP DNN Models Like Playing Lego. | Ming Gong, Linjun Shou, Wutao Lin, Zhijie Sang, Quanjia Yan, Ze Yang, Feixiang Cheng, Daxin Jiang |
| 2019 | EMNLP | Unicoder: A Universal Language Encoder by Pre-training with Multiple Cross-lingual Tasks. | Haoyang Huang, Yaobo Liang, Nan Duan, Ming Gong, Linjun Shou, Daxin Jiang, Ming Zhou |
| 2019 | EMNLP | Multi-Task Learning for Conversational Question Answering over a Large-Scale Knowledge Base. | Tao Shen, Xiubo Geng, Tao Qin, Daya Guo, Duyu Tang, Nan Duan, Guodong Long, Daxin Jiang |
| 2018 | AAAI | Assertion-Based QA With Question-Aware Open Information Extraction. | Zhao Yan, Duyu Tang, Nan Duan, Shujie Liu, Wendi Wang, Daxin Jiang, Ming Zhou, Zhoujun Li |
| 2016 | NAACL | Deep LSTM based Feature Mapping for Query Classification. | Yangyang Shi, Kaisheng Yao, Le Tian, Daxin Jiang |
| 2012 | ACL | Automatically Mining Question Reformulation Patterns from Search Log Data. | Xiaobing Xue, Yu Tao, Daxin Jiang, Hang Li |
| 2012 | SIGIR | Mining query subtopics from search log data. | Yunhua Hu, Ya-nan Qian, Hang Li, Daxin Jiang, Jian Pei, Qinghua Zheng |
| 2011 | DASFAA | Web Search and Browse Log Mining: Challenges, Methods, and Applications. | Daxin Jiang |
| 2011 | SIGIR | Enhancing web search by mining search and browse logs. | Daxin Jiang, Jian Pei, Hang Li |
| 2011 | WSDM | Multidimensional mining of large-scale search logs: a topic-concept cube approach. | Dongyeop Kang, Daxin Jiang, Jian Pei, Zhen Liao, Xiaohui Sun, Ho-Jin Choi |
| 2010 | WWW | Web search/browse log mining: challenges, methods, and applications. | Daxin Jiang, Jian Pei, Hang Li |
| 2010 | SIGIR | Search and browse log mining for web information retrieval: challenges, methods, and applications. | Daxin Jiang, Jian Pei, Hang Li |
| 2010 | SIGIR | Context-aware ranking in web search. | Biao Xiang, Daxin Jiang, Jian Pei, Xiaohui Sun, Enhong Chen, Hang Li |
| 2009 | ICDE | Web Query Recommendation via Sequential Query Prediction. | Qi He, Daxin Jiang, Zhen Liao, Steven C. H. Hoi, Kuiyu Chang, Ee-Peng Lim, Hang Li |
| 2009 | KDD | OLAP on search logs: an infrastructure supporting data-driven applications in search engines. | Bin Zhou, Daxin Jiang, Jian Pei, Hang Li |
| 2009 | WWW | Towards context-aware search by learning a very large variable length hidden markov model from search logs. | Huanhuan Cao, Daxin Jiang, Jian Pei, Enhong Chen, Hang Li |
| 2009 | SIGIR | Context-aware query classification. | Huanhuan Cao, Derek Hao Hu, Dou Shen, Daxin Jiang, Jian-Tao Sun, Enhong Chen, Qiang Yang |
| 2008 | KDD | Context-aware query suggestion by mining click-through and session data. | Huanhuan Cao, Daxin Jiang, Jian Pei, Qi He, Zhen Liao, Enhong Chen, Hang Li |
| 2006 | BIBE | Prediction of Protein Function Using Common-Neighbors in Protein-Protein Interaction Networks. | Chuan Lin, Daxin Jiang, Aidong Zhang |
| 2005 | DASFAA | A General Approach to Mining Quality Pattern-Based Clusters from Microarray Data. | Daxin Jiang, Jian Pei, Aidong Zhang |
| 2005 | ICDE | Mining Cross-Graph Quasi-Cliques in Gene Expression and Protein Interaction Data. | Jian Pei, Daxin Jiang, Aidong Zhang |
| 2005 | KDD | On mining cross-graph quasi-cliques. | Jian Pei, Daxin Jiang, Aidong Zhang |
| 2004 | KDD | Mining coherent gene clusters from gene-sample-time microarray data. | Daxin Jiang, Jian Pei, Murali Ramanathan, Chun Tang, Aidong Zhang |
| 2004 | VLDB | GPX: Interactive Mining of Gene Expression Data. | Daxin Jiang, Jian Pei, Aidong Zhang |
| 2003 | BIBE | DHC: A Density-Based Hierarchical Clustering Method for Time Series Gene Expression Dat. | Daxin Jiang, Jian Pei, Aidong Zhang |
| 2003 | KDD | Interactive exploration of coherent patterns in time-series gene expression data. | Daxin Jiang, Jian Pei, Aidong Zhang |