| 2026 | ACL | Agentic Conversational Search with Contextualized Reasoning via Reinforcement Learning. | Fengran Mo, Yifan Gao, Sha Li, Hansi Zeng, Xin Liu, Zhaoxuan Tan, Xian Li, Jianshu Chen, Dakuo Wang, Meng Jiang |
| 2025 | CIKM | Exploring Reasoning-Infused Text Embedding with Large Language Models for Zero-Shot Dense Retrieval. | Yuxiang Liu, Tian Wang, Gourab Kundu, Tianyu Cao, Guang Cheng, Zhen Ge, Jianshu Chen, Qingjun Cui, Trishul Chilimbi |
| 2024 | ACL | Fact-and-Reflection (FaR) Improves Confidence Calibration of Large Language Models. | Xinran Zhao, Hongming Zhang, Xiaoman Pan, Wenlin Yao, Dong Yu, Tongshuang Wu, Jianshu Chen |
| 2024 | EACL | CEO: Corpus-based Open-Domain Event Ontology Induction. | Nan Xu, Hongming Zhang, Jianshu Chen |
| 2024 | EMNLP | Skills-in-Context: Unlocking Compositionality in Large Language Models. | Jiaao Chen, Xiaoman Pan, Dian Yu, Kaiqiang Song, Xiaoyang Wang, Dong Yu, Jianshu Chen |
| 2024 | ICML | Rewards-in-Context: Multi-objective Alignment of Foundation Models with Dynamic Preference Adjustment. | Rui Yang, Xiaoman Pan, Feng Luo, Shuang Qiu, Han Zhong, Dong Yu, Jianshu Chen |
| 2024 | NAACL | MMC: Advancing Multimodal Chart Understanding with Large-scale Instruction Tuning. | Fuxiao Liu, Xiaoyang Wang, Wenlin Yao, Jianshu Chen, Kaiqiang Song, Sangwoo Cho, Yaser Yacoob, Dong Yu |
| 2024 | NAACL | From Language Modeling to Instruction Following: Understanding the Behavior Shift in LLMs after Instruction Tuning. | Xuansheng Wu, Wenlin Yao, Jianshu Chen, Xiaoman Pan, Xiaoyang Wang, Ninghao Liu, Dong Yu |
| 2023 | ACL | Zemi: Learning Zero-Shot Semi-Parametric Language Models from Multiple Tasks. | Zhenhailong Wang, Xiaoman Pan, Dian Yu, Dong Yu, Jianshu Chen, Heng Ji |
| 2023 | AISTATS | Blessing of Class Diversity in Pre-training. | Yulai Zhao, Jianshu Chen, Simon S. Du |
| 2023 | EACL | How do Words Contribute to Sentence Semantics? Revisiting Sentence Embeddings with a Perturbation Method. | Wenlin Yao, Lifeng Jin, Hongming Zhang, Xiaoman Pan, Kaiqiang Song, Dian Yu, Dong Yu, Jianshu Chen |
| 2023 | EMNLP | PIVOINE: Instruction Tuning for Open-world Entity Profiling. | Keming Lu, Xiaoman Pan, Kaiqiang Song, Hongming Zhang, Dong Yu, Jianshu Chen |
| 2023 | ICLR | Learning Language Representations with Logical Inductive Bias. | Jianshu Chen |
| 2023 | ICLR | Knowledge-in-Context: Towards Knowledgeable Semi-Parametric Language Models. | Xiaoman Pan, Wenlin Yao, Hongming Zhang, Dian Yu, Dong Yu, Jianshu Chen |
| 2022 | ACL | Improving Machine Reading Comprehension with Contextualized Commonsense Knowledge. | Kai Sun, Dian Yu, Jianshu Chen, Dong Yu, Claire Cardie |
| 2022 | ACL | C-MORE: Pretraining to Answer Open-Domain Questions by Consulting Millions of References. | Xiang Yue, Xiaoman Pan, Wenlin Yao, Dian Yu, Dong Yu, Jianshu Chen |
| 2022 | ACL | Learning-by-Narrating: Narrative Pre-Training for Zero-Shot Dialogue Comprehension. | Chao Zhao, Wenlin Yao, Dian Yu, Kaiqiang Song, Dong Yu, Jianshu Chen |
| 2022 | EMNLP | Z-LaVI: Zero-Shot Language Solver Fueled by Visual Imagination. | Yue Yang, Wenlin Yao, Hongming Zhang, Xiaoyang Wang, Dong Yu, Jianshu Chen |
| 2022 | ICDM | ZeroKBC: A Comprehensive Benchmark for Zero-Shot Knowledge Base Completion. | Pei Chen, Wenlin Yao, Hongming Zhang, Xiaoman Pan, Dian Yu, Dong Yu, Jianshu Chen |
| 2022 | ICDM | Join-Chain Network: A Logical Reasoning View of the Multi-head Attention in Transformer. | Jianyi Zhang, Yiran Chen, Jianshu Chen |
| 2021 | ACSSC | DeepPursuit: Uniting Classical Wisdom and Deep RL for Sparse Recovery. | Ziheng Chen, Sichen Zhong, Jianshu Chen, Yue Zhao |
| 2021 | EMNLP | Connect-the-Dots: Bridging Semantics between Words and Definitions via Aligning Word Sense Inventories. | Wenlin Yao, Xiaoman Pan, Lifeng Jin, Jianshu Chen, Dian Yu, Dong Yu |
| 2020 | ACL | Logical Natural Language Generation from Open-Domain Tables. | Wenhu Chen, Jianshu Chen, Yu Su, Zhiyu Chen, William Yang Wang |
| 2020 | ACL | Recurrent Chunking Mechanisms for Long-Text Machine Reading Comprehension. | Hongyu Gong, Yelong Shen, Dian Yu, Jianshu Chen, Dong Yu |
| 2020 | ACL | ZPR2: Joint Zero Pronoun Recovery and Resolution using Multi-Task Learning and BERT. | Linfeng Song, Kun Xu, Yue Zhang, Jianshu Chen, Dong Yu |
| 2020 | ECCV | Comprehensive Image Captioning via Scene Graph Decomposition. | Yiwu Zhong, Liwei Wang, Jianshu Chen, Dong Yu, Yin Li |
| 2020 | ICLR | TabFact: A Large-scale Dataset for Table-based Fact Verification. | Wenhu Chen, Hongmin Wang, Jianshu Chen, Yunkai Zhang, Hong Wang, Shiyang Li, Xiyou Zhou, William Yang Wang |
| 2020 | ICLR | Watch the Unobserved: A Simple Approach to Parallelizing Monte Carlo Tree Search. | Anji Liu, Jianshu Chen, Mingze Yu, Yu Zhai, Xuewen Zhou, Ji Liu |
| 2019 | AAAI | Incorporating Structured Commonsense Knowledge in Story Completion. | Jiaao Chen, Jianshu Chen, Zhou Yu |
| 2019 | ACL | Semantically Conditioned Dialog Response Generation via Hierarchical Disentangled Self-Attention. | Wenhu Chen, Jianshu Chen, Pengda Qin, Xifeng Yan, William Yang Wang |
| 2019 | CoNLL | Improving Pre-Trained Multilingual Model with Vocabulary Expansion. | Hai Wang, Dian Yu, Kai Sun, Jianshu Chen, Dong Yu |
| 2019 | CoNLL | Evidence Sentence Extraction for Machine Reading Comprehension. | Hai Wang, Dian Yu, Kai Sun, Jianshu Chen, Dong Yu, David A. McAllester, Dan Roth |
| 2019 | ICLR | Unsupervised Speech Recognition via Segmental Empirical Output Distribution Matching. | Chih-Kuan Yeh, Jianshu Chen, Chengzhu Yu, Dong Yu |
| 2018 | EMNLP | XL-NBT: A Cross-lingual Neural Belief Tracking Framework. | Wenhu Chen, Jianshu Chen, Yu Su, Xin Wang, Dong Yu, Xifeng Yan, William Yang Wang |
| 2018 | ICLR | ReinforceWalk: Learning to Walk in Graph with Monte Carlo Tree Search. | Yelong Shen, Jianshu Chen, Po-Sen Huang, Yuqing Guo, Jianfeng Gao |
| 2018 | ICML | SBEED: Convergent Reinforcement Learning with Nonlinear Function Approximation. | Bo Dai, Albert E. Shaw, Lihong Li, Lin Xiao, Niao He, Zhen Liu, Jianshu Chen, Le Song |
| 2017 | ICASSP | Character-level deep conflation for business data analytics. | Zhe Gan, P. D. Singh, Ameet Joshi, Xiaodong He, Jianshu Chen, Jianfeng Gao, Li Deng |
| 2017 | ICML | Stochastic Variance Reduction Methods for Policy Evaluation. | Simon S. Du, Jianshu Chen, Lihong Li, Lin Xiao, Dengyong Zhou |
| 2017 | NSDI | CherryPick: Adaptively Unearthing the Best Cloud Configurations for Big Data Analytics. | Omid Alipourfard, Hongqiang Harry Liu, Jianshu Chen, Shivaram Venkataraman, Minlan Yu, Ming Zhang |
| 2016 | ACL | Deep Reinforcement Learning with a Natural Language Action Space. | Ji He, Jianshu Chen, Xiaodong He, Jianfeng Gao, Lihong Li, Li Deng, Mari Ostendorf |
| 2016 | EMNLP | Deep Reinforcement Learning with a Combinatorial Action Space for Predicting Popular Reddit Threads. | Ji He, Mari Ostendorf, Xiaodong He, Jianshu Chen, Jianfeng Gao, Lihong Li, Li Deng |
| 2016 | ICASSP | Interpreting the prediction process of a deep network constructed from supervised topic models. | Jianshu Chen, Ji He, Xiaodong He, Lin Xiao, Jianfeng Gao, Li Deng |
| 2016 | Interspeech | The 2015 NIST Language Recognition Evaluation: The Shared View of I2R, Fantastic4 and SingaMS. | Kong-Aik Lee, Haizhou Li, Li Deng, Ville Hautamki, Wei Rao, Xiong Xiao, Anthony Larcher, Hanwu Sun, Trung Hieu Nguyen, Guangsen Wang, Aleksandr Sizov, Jianshu Chen, Ivan Kukanov, Amir Hossein Poorjam, Trung Ngo Trong, Chenglin Xu, Haihua Xu, Bin Ma, Eng Siong Chng, Sylvain Meignier |
| 2015 | ICDM | A Deep Embedding Model for Co-occurrence Learning. | Yelong Shen, Ruoming Jin, Jianshu Chen, Xiaodong He, Jianfeng Gao, Li Deng |
| 2014 | ACSSC | Line outage detection in power transmission networks via message passing algorithms. | Jianshu Chen, Yue Zhao, Andrea Goldsmith, H. Vincent Poor |
| 2014 | ACSSC | Dynamic joint outage identification and state estimation in power systems. | Yue Zhao, Jianshu Chen, Andrea Goldsmith, H. Vincent Poor |
| 2014 | ICASSP | Online dictionary learning over distributed models. | Jianshu Chen, Zaid J. Towfic, Ali H. Sayed |
| 2014 | ICASSP | Sequence classification using the high-level features extracted from deep neural networks. | Li Deng, Jianshu Chen |
| 2013 | ICASSP | Cooperative off-policy prediction of Markov decision processes in adaptive networks. | Sergio Valcarcel Macua, Jianshu Chen, Santiago Zazo, Ali H. Sayed |
| 2013 | ICASSP | Distributed inference over regression and classification models. | Zaid J. Towfic, Jianshu Chen, Ali H. Sayed |
| 2013 | ITA | Online learning and adaptation over networks: More information is not necessarily better. | Ali H. Sayed, Sheng-Yuan Tu, Jianshu Chen |
| 2012 | ESANN | Distributed learning via Diffusion adaptation with application to ensemble learning. | Zaid J. Towfic, Jianshu Chen, Ali H. Sayed |
| 2012 | ICASSP | Performance of diffusion adaptation for collaborative optimization. | Jianshu Chen, Ali H. Sayed |
| 2011 | ICASSP | Bio-inspired cooperative optimization with application to bacteria motility. | Jianshu Chen, Ali H. Sayed |
| 2009 | WCNC | Analyzing amplify-and-forward and decode-and-forward cooperative strategies in Wyner's channel model. | Pengyu Zhang, Jian Yuan, Jianshu Chen, Jian Wang, Jin Yang |