Jianshu Chen - RankMe

177 papers A* 18A 4B 4Misc 12Journal 91Unranked 47

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Agentic Conversational Search with Contextualized Reasoning via Reinforcement Learning. CoRR Fengran Mo, Yifan Gao, Sha Li, Hansi Zeng, Xin Liu, Zhaoxuan Tan, Xian Li, Jianshu Chen, Dakuo Wang, Meng Jiang
2025	J	`jnl`	An artificially intelligent magnetic resonance spectroscopy quantification method: Comparison between QNet and LCModel on the cloud computing platform CloudBrain-MRS. CoRR Meijin Lin, Lin Guo, Dicheng Chen, Jianshu Chen, Zhangren Tu, Xu Huang, Jianhua Wang, Ji Qi, Yuan Long, Zhiguo Huang, Di Guo, Xiaobo Qu, Haiwei Han
2025	A	`conf`	Exploring Reasoning-Infused Text Embedding with Large Language Models for Zero-Shot Dense Retrieval. CIKM Yuxiang Liu, Tian Wang, Gourab Kundu, Tianyu Cao, Guang Cheng, Zhen Ge, Jianshu Chen, Qingjun Cui, Trishul Chilimbi
2025	J	`jnl`	Exploring Reasoning-Infused Text Embedding with Large Language Models for Zero-Shot Dense Retrieval. CoRR Yuxiang Liu, Tian Wang, Gourab Kundu, Tianyu Cao, Guang Cheng, Zhen Ge, Jianshu Chen, Qingjun Cui, Trishul Chilimbi
2025	J	`jnl`	Reproducibility Assessment of Magnetic Resonance Spectroscopy of Pregenual Anterior Cingulate Cortex across Sessions and Vendors via the Cloud Computing Platform CloudBrain-MRS. CoRR Runhan Chen, Meijin Lin, Jianshu Chen, Liangjie Lin, Jiazheng Wang, Xiaoqing Li, Jianhua Wang, Xu Huang, Ling Qian, Shaoxing Liu, Yuan Long, Di Guo, Xiaobo Qu, Haiwei Han
2025	J	`jnl`	Reproducibility assessment of magnetic resonance spectroscopy of pregenual anterior cingulate cortex across sessions and vendors via the cloud computing platform CloudBrain-MRS. NeuroImage Runhan Chen, Meijin Lin, Jianshu Chen, Liangjie Lin, Jiazheng Wang, Xiaoqing Li, Jianhua Wang, Xu Huang, Ling Qian, Shaoxing Liu, Yuan Long, Di Guo, Xiaobo Qu, Haiwei Han
2025	J	`jnl`	Self-Rewarding PPO: Aligning Large Language Models with Demonstrations Only. CoRR Qingru Zhang, Liang Qiu, Ilgee Hong, Zhenghao Xu, Tianyi Liu, Shiyang Li, Rongzhi Zhang, Zheng Li, Lihong Li, Bing Yin, Chao Zhang, Jianshu Chen, Haoming Jiang, Tuo Zhao
2025	J	`jnl`	Soundness-Aware Level: A Microscopic Signature that Predicts LLM Reasoning Potential. CoRR Xuansheng Wu, Xiaoman Pan, Wenlin Yao, Jianshu Chen
2025	J	`jnl`	Towards Improving Interpretability of Language Model Generation Through a Structured Knowledge Discovery Approach. IEEE J. Sel. Top. Signal Process. Shuqi Liu, Han Wu, Guanzhi Deng, Jianshu Chen, Xiaoyang Wang, Linqi Song
2025	J	`jnl`	Towards Improving Interpretability of Language Model Generation through a Structured Knowledge Discovery Approach. CoRR Shuqi Liu, Han Wu, Guanzhi Deng, Jianshu Chen, Xiaoyang Wang, Linqi Song
2024	—	`conf`	CEO: Corpus-based Open-Domain Event Ontology Induction. EACL (Findings) Nan Xu, Hongming Zhang, Jianshu Chen
2024	—	`conf`	Fact-and-Reflection (FaR) Improves Confidence Calibration of Large Language Models. ACL (Findings) Xinran Zhao, Hongming Zhang, Xiaoman Pan, Wenlin Yao, Dong Yu, Tongshuang Wu, Jianshu Chen
2024	J	`jnl`	Fact-and-Reflection (FaR) Improves Confidence Calibration of Large Language Models. CoRR Xinran Zhao, Hongming Zhang, Xiaoman Pan, Wenlin Yao, Dong Yu, Tongshuang Wu, Jianshu Chen
2024	—	`conf`	From Language Modeling to Instruction Following: Understanding the Behavior Shift in LLMs after Instruction Tuning. NAACL-HLT Xuansheng Wu, Wenlin Yao, Jianshu Chen, Xiaoman Pan, Xiaoyang Wang, Ninghao Liu, Dong Yu
2024	—	`conf`	MMC: Advancing Multimodal Chart Understanding with Large-scale Instruction Tuning. NAACL-HLT Fuxiao Liu, Xiaoyang Wang, Wenlin Yao, Jianshu Chen, Kaiqiang Song, Sangwoo Cho, Yaser Yacoob, Dong Yu
2024	J	`jnl`	RNR: Teaching Large Language Models to Follow Roles and Rules. CoRR Kuan Wang, Alexander Bukharin, Haoming Jiang, Qingyu Yin, Zhengyang Wang, Tuo Zhao, Jingbo Shang, Chao Zhang, Bing Yin, Xian Li, Jianshu Chen, Shiyang Li
2024	A*	`conf`	Rewards-in-Context: Multi-objective Alignment of Foundation Models with Dynamic Preference Adjustment. ICML Rui Yang, Xiaoman Pan, Feng Luo, Shuang Qiu, Han Zhong, Dong Yu, Jianshu Chen
2024	J	`jnl`	Rewards-in-Context: Multi-objective Alignment of Foundation Models with Dynamic Preference Adjustment. CoRR Rui Yang, Xiaoman Pan, Feng Luo, Shuang Qiu, Han Zhong, Dong Yu, Jianshu Chen
2024	—	`conf`	Skills-in-Context: Unlocking Compositionality in Large Language Models. EMNLP (Findings) Jiaao Chen, Xiaoman Pan, Dian Yu, Kaiqiang Song, Xiaoyang Wang, Dong Yu, Jianshu Chen
2023	J	`jnl`	A Stitch in Time Saves Nine: Detecting and Mitigating Hallucinations of LLMs by Validating Low-Confidence Generation. CoRR Neeraj Varshney, Wenlin Yao, Hongming Zhang, Jianshu Chen, Dong Yu
2023	A	`conf`	Blessing of Class Diversity in Pre-training. AISTATS Yulai Zhao, Jianshu Chen, Simon S. Du
2023	J	`jnl`	CEO: Corpus-based Open-Domain Event Ontology Induction. CoRR Nan Xu, Hongming Zhang, Jianshu Chen
2023	J	`jnl`	From Language Modeling to Instruction Following: Understanding the Behavior Shift in LLMs after Instruction Tuning. CoRR Xuansheng Wu, Wenlin Yao, Jianshu Chen, Xiaoman Pan, Xiaoyang Wang, Ninghao Liu, Dong Yu
2023	A	`conf`	How do Words Contribute to Sentence Semantics? Revisiting Sentence Embeddings with a Perturbation Method. EACL Wenlin Yao, Lifeng Jin, Hongming Zhang, Xiaoman Pan, Kaiqiang Song, Dian Yu, Dong Yu, Jianshu Chen
2023	A*	`conf`	Knowledge-in-Context: Towards Knowledgeable Semi-Parametric Language Models. ICLR Xiaoman Pan, Wenlin Yao, Hongming Zhang, Dian Yu, Dong Yu, Jianshu Chen
2023	A*	`conf`	Learning Language Representations with Logical Inductive Bias. ICLR Jianshu Chen
2023	J	`jnl`	Learning Language Representations with Logical Inductive Bias. CoRR Jianshu Chen
2023	J	`jnl`	MMC: Advancing Multimodal Chart Understanding with Large-scale Instruction Tuning. CoRR Fuxiao Liu, Xiaoyang Wang, Wenlin Yao, Jianshu Chen, Kaiqiang Song, Sangwoo Cho, Yaser Yacoob, Dong Yu
2023	—	`conf`	PIVOINE: Instruction Tuning for Open-world Entity Profiling. EMNLP (Findings) Keming Lu, Xiaoman Pan, Kaiqiang Song, Hongming Zhang, Dong Yu, Jianshu Chen
2023	J	`jnl`	PIVOINE: Instruction Tuning for Open-world Information Extraction. CoRR Keming Lu, Xiaoman Pan, Kaiqiang Song, Hongming Zhang, Dong Yu, Jianshu Chen
2023	J	`jnl`	Skills-in-Context Prompting: Unlocking Compositionality in Large Language Models. CoRR Jiaao Chen, Xiaoman Pan, Dian Yu, Kaiqiang Song, Xiaoyang Wang, Dong Yu, Jianshu Chen
2023	A*	`conf`	Thrust: Adaptively Propels Large Language Models with External Knowledge. NeurIPS Xinran Zhao, Hongming Zhang, Xiaoman Pan, Wenlin Yao, Dong Yu, Jianshu Chen
2023	J	`jnl`	Thrust: Adaptively Propels Large Language Models with External Knowledge. CoRR Xinran Zhao, Hongming Zhang, Xiaoman Pan, Wenlin Yao, Dong Yu, Jianshu Chen
2023	—	`conf`	Zemi: Learning Zero-Shot Semi-Parametric Language Models from Multiple Tasks. ACL (Findings) Zhenhailong Wang, Xiaoman Pan, Dian Yu, Dong Yu, Jianshu Chen, Heng Ji
2022	J	`jnl`	Blessing of Class Diversity in Pre-training. CoRR Yulai Zhao, Jianshu Chen, Simon S. Du
2022	—	`conf`	C-MORE: Pretraining to Answer Open-Domain Questions by Consulting Millions of References. ACL (2) Xiang Yue, Xiaoman Pan, Wenlin Yao, Dian Yu, Dong Yu, Jianshu Chen
2022	J	`jnl`	C-MORE: Pretraining to Answer Open-Domain Questions by Consulting Millions of References. CoRR Xiang Yue, Xiaoman Pan, Wenlin Yao, Dian Yu, Dong Yu, Jianshu Chen
2022	J	`jnl`	Explanations from Large Language Models Make Small Reasoners Better. CoRR Shiyang Li, Jianshu Chen, Yelong Shen, Zhiyu Chen, Xinlu Zhang, Zekun Li, Hong Wang, Jing Qian, Baolin Peng, Yi Mao, Wenhu Chen, Xifeng Yan
2022	—	`conf`	Improving Machine Reading Comprehension with Contextualized Commonsense Knowledge. ACL (1) Kai Sun, Dian Yu, Jianshu Chen, Dong Yu, Claire Cardie
2022	—	`conf`	Join-Chain Network: A Logical Reasoning View of the Multi-head Attention in Transformer. ICDM (Workshops) Jianyi Zhang, Yiran Chen, Jianshu Chen
2022	J	`jnl`	Join-Chain Network: A Logical Reasoning View of the Multi-head Attention in Transformer. CoRR Jianyi Zhang, Yiran Chen, Jianshu Chen
2022	J	`jnl`	Knowledge-in-Context: Towards Knowledgeable Semi-Parametric Language Models. CoRR Xiaoman Pan, Wenlin Yao, Hongming Zhang, Dian Yu, Dong Yu, Jianshu Chen
2022	—	`conf`	Learning-by-Narrating: Narrative Pre-Training for Zero-Shot Dialogue Comprehension. ACL (2) Chao Zhao, Wenlin Yao, Dian Yu, Kaiqiang Song, Dong Yu, Jianshu Chen
2022	J	`jnl`	Learning-by-Narrating: Narrative Pre-Training for Zero-Shot Dialogue Comprehension. CoRR Chao Zhao, Wenlin Yao, Dian Yu, Kaiqiang Song, Dong Yu, Jianshu Chen
2022	J	`jnl`	PRIMA: Planner-Reasoner Inside a Multi-task Reasoning Agent CoRR Daoming Lyu, Bo Liu, Jianshu Chen
2022	A*	`conf`	Z-LaVI: Zero-Shot Language Solver Fueled by Visual Imagination. EMNLP Yue Yang, Wenlin Yao, Hongming Zhang, Xiaoyang Wang, Dong Yu, Jianshu Chen
2022	J	`jnl`	Z-LaVI: Zero-Shot Language Solver Fueled by Visual Imagination. CoRR Yue Yang, Wenlin Yao, Hongming Zhang, Xiaoyang Wang, Dong Yu, Jianshu Chen
2022	J	`jnl`	Zemi: Learning Zero-Shot Semi-Parametric Language Models from Multiple Tasks. CoRR Zhenhailong Wang, Xiaoman Pan, Dian Yu, Dong Yu, Jianshu Chen, Heng Ji
2022	—	`conf`	ZeroKBC: A Comprehensive Benchmark for Zero-Shot Knowledge Base Completion. ICDM (Workshops) Pei Chen, Wenlin Yao, Hongming Zhang, Xiaoman Pan, Dian Yu, Dong Yu, Jianshu Chen
2022	J	`jnl`	ZeroKBC: A Comprehensive Benchmark for Zero-Shot Knowledge Base Completion. CoRR Pei Chen, Wenlin Yao, Hongming Zhang, Xiaoman Pan, Dian Yu, Dong Yu, Jianshu Chen
2021	—	`conf`	Connect-the-Dots: Bridging Semantics between Words and Definitions via Aligning Word Sense Inventories. EMNLP (1) Wenlin Yao, Xiaoman Pan, Lifeng Jin, Jianshu Chen, Dian Yu, Dong Yu
2021	J	`jnl`	Connect-the-Dots: Bridging Semantics between Words and Definitions via Aligning Word Sense Inventories. CoRR Wenlin Yao, Xiaoman Pan, Lifeng Jin, Jianshu Chen, Dian Yu, Dong Yu
2021	—	`conf`	DeepPursuit: Uniting Classical Wisdom and Deep RL for Sparse Recovery. ACSCC Ziheng Chen, Sichen Zhong, Jianshu Chen, Yue Zhao
2020	J	`jnl`	A Learning-to-Infer Method for Real-Time Power Grid Multi-Line Outage Identification. IEEE Trans. Smart Grid Yue Zhao, Jianshu Chen, H. Vincent Poor
2020	—	`conf`	Comprehensive Image Captioning via Scene Graph Decomposition. ECCV (14) Yiwu Zhong, Liwei Wang, Jianshu Chen, Dong Yu, Yin Li
2020	J	`jnl`	Comprehensive Image Captioning via Scene Graph Decomposition. CoRR Yiwu Zhong, Liwei Wang, Jianshu Chen, Dong Yu, Yin Li
2020	J	`jnl`	Improving Machine Reading Comprehension with Contextualized Commonsense Knowledge. CoRR Kai Sun, Dian Yu, Jianshu Chen, Dong Yu, Claire Cardie
2020	A*	`conf`	Logical Natural Language Generation from Open-Domain Tables. ACL Wenhu Chen, Jianshu Chen, Yu Su, Zhiyu Chen, William Yang Wang
2020	J	`jnl`	Logical Natural Language Generation from Open-Domain Tables. CoRR Wenhu Chen, Jianshu Chen, Yu Su, Zhiyu Chen, William Yang Wang
2020	J	`jnl`	On Effective Parallelization of Monte Carlo Tree Search. CoRR Anji Liu, Yitao Liang, Ji Liu, Guy Van den Broeck, Jianshu Chen
2020	A*	`conf`	Recurrent Chunking Mechanisms for Long-Text Machine Reading Comprehension. ACL Hongyu Gong, Yelong Shen, Dian Yu, Jianshu Chen, Dong Yu
2020	J	`jnl`	Recurrent Chunking Mechanisms for Long-Text Machine Reading Comprehension. CoRR Hongyu Gong, Yelong Shen, Dian Yu, Jianshu Chen, Dong Yu
2020	A*	`conf`	TabFact: A Large-scale Dataset for Table-based Fact Verification. ICLR Wenhu Chen, Hongmin Wang, Jianshu Chen, Yunkai Zhang, Hong Wang, Shiyang Li, Xiyou Zhou, William Yang Wang
2020	A*	`conf`	Watch the Unobserved: A Simple Approach to Parallelizing Monte Carlo Tree Search. ICLR Anji Liu, Jianshu Chen, Mingze Yu, Yu Zhai, Xuewen Zhou, Ji Liu
2020	A*	`conf`	ZPR2: Joint Zero Pronoun Recovery and Resolution using Multi-Task Learning and BERT. ACL Linfeng Song, Kun Xu, Yue Zhang, Jianshu Chen, Dong Yu
2019	J	`jnl`	DREAM: A Challenge Dataset and Models for Dialogue-Based Reading Comprehension. CoRR Kai Sun, Dian Yu, Jianshu Chen, Dong Yu, Yejin Choi, Claire Cardie
2019	J	`jnl`	DREAM: A Challenge Dataset and Models for Dialogue-Based Reading Comprehension. Trans. Assoc. Comput. Linguistics Kai Sun, Dian Yu, Jianshu Chen, Dong Yu, Yejin Choi, Claire Cardie
2019	B	`conf`	Evidence Sentence Extraction for Machine Reading Comprehension. CoNLL Hai Wang, Dian Yu, Kai Sun, Jianshu Chen, Dong Yu, David A. McAllester, Dan Roth
2019	J	`jnl`	Evidence Sentence Extraction for Machine Reading Comprehension. CoRR Hai Wang, Dian Yu, Kai Sun, Jianshu Chen, Dong Yu, Dan Roth, David A. McAllester
2019	J	`jnl`	From Caesar Cipher to Unsupervised Learning: A New Method for Classifier Parameter Estimation. CoRR Yu Liu, Li Deng, Jianshu Chen, Chang Wen Chen
2019	B	`conf`	Improving Pre-Trained Multilingual Model with Vocabulary Expansion. CoNLL Hai Wang, Dian Yu, Kai Sun, Jianshu Chen, Dong Yu
2019	J	`jnl`	Improving Pre-Trained Multilingual Models with Vocabulary Expansion. CoRR Hai Wang, Dian Yu, Kai Sun, Jianshu Chen, Dong Yu
2019	—	`conf`	Improving Question Answering with External Knowledge. MRQA@EMNLP Xiaoman Pan, Kai Sun, Dian Yu, Jianshu Chen, Heng Ji, Claire Cardie, Dong Yu
2019	A*	`conf`	Incorporating Structured Commonsense Knowledge in Story Completion. AAAI Jiaao Chen, Jianshu Chen, Zhou Yu
2019	—	`conf`	Learning to Recover Sparse Signals. Allerton Sichen Zhong, Yue Zhao, Jianshu Chen
2019	—	`conf`	Semantically Conditioned Dialog Response Generation via Hierarchical Disentangled Self-Attention. ACL (1) Wenhu Chen, Jianshu Chen, Pengda Qin, Xifeng Yan, William Yang Wang
2019	J	`jnl`	Semantically Conditioned Dialog Response Generation via Hierarchical Disentangled Self-Attention. CoRR Wenhu Chen, Jianshu Chen, Pengda Qin, Xifeng Yan, William Yang Wang
2019	A*	`conf`	Stochastic Variance Reduced Primal Dual Algorithms for Empirical Composition Optimization. NeurIPS Adithya M. Devraj, Jianshu Chen
2019	J	`jnl`	Stochastic Variance Reduced Primal Dual Algorithms for Empirical Composition Optimization. CoRR Adithya M. Devraj, Jianshu Chen
2019	J	`jnl`	TabFact: A Large-scale Dataset for Table-based Fact Verification. CoRR Wenhu Chen, Hongmin Wang, Jianshu Chen, Yunkai Zhang, Hong Wang, Shiyang Li, Xiyou Zhou, William Yang Wang
2019	J	`jnl`	Teaching Pretrained Models with Commonsense Reasoning: A Preliminary KB-Based Approach. CoRR Shiyang Li, Jianshu Chen, Dian Yu
2019	—	`conf`	Unsupervised Speech Recognition via Segmental Empirical Output Distribution Matching. ICLR (Poster) Chih-Kuan Yeh, Jianshu Chen, Chengzhu Yu, Dong Yu
2018	A*	`conf`	Coupled Variational Bayes via Optimization Embedding. NeurIPS Bo Dai, Hanjun Dai, Niao He, Weiyang Liu, Zhen Liu, Jianshu Chen, Lin Xiao, Le Song
2018	J	`jnl`	Design and Analysis of an Interactive MOOC Teaching System Based on Virtual Reality. Int. J. Emerg. Technol. Learn. Yongfei Zhang, Jianshu Chen, Dan Miao, Chen Zhang
2018	J	`jnl`	Incorporating Structured Commonsense Knowledge in Story Completion. CoRR Jiaao Chen, Jianshu Chen, Zhou Yu
2018	—	`conf`	Learning to Infer Power Grid Topologies: Performance and Scalability. DSW Yue Zhao, Jianshu Chen, H. Vincent Poor
2018	A*	`conf`	M-Walk: Learning to Walk over Graphs using Monte Carlo Tree Search. NeurIPS Yelong Shen, Jianshu Chen, Po-Sen Huang, Yuqing Guo, Jianfeng Gao
2018	J	`jnl`	P-MCGS: Parallel Monte Carlo Acyclic Graph Search. CoRR Chen Yu, Jianshu Chen, Jie Zhong, Ji Liu
2018	—	`conf`	ReinforceWalk: Learning to Walk in Graph with Monte Carlo Tree Search. ICLR (Workshop) Yelong Shen, Jianshu Chen, Po-Sen Huang, Yuqing Guo, Jianfeng Gao
2018	J	`jnl`	ReinforceWalk: Learning to Walk in Graph with Monte Carlo Tree Search. CoRR Yelong Shen, Jianshu Chen, Po-Sen Huang, Yuqing Guo, Jianfeng Gao
2018	A*	`conf`	SBEED: Convergent Reinforcement Learning with Nonlinear Function Approximation. ICML Bo Dai, Albert E. Shaw, Lihong Li, Lin Xiao, Niao He, Zhen Liu, Jianshu Chen, Le Song
2018	J	`jnl`	Unsupervised Speech Recognition via Segmental Empirical Output Distribution Matching. CoRR Chih-Kuan Yeh, Jianshu Chen, Chengzhu Yu, Dong Yu
2018	A*	`conf`	XL-NBT: A Cross-lingual Neural Belief Tracking Framework. EMNLP Wenhu Chen, Jianshu Chen, Yu Su, Xin Wang, Dong Yu, Xifeng Yan, William Yang Wang
2018	J	`jnl`	XL-NBT: A Cross-lingual Neural Belief Tracking Framework. CoRR Wenhu Chen, Jianshu Chen, Yu Su, Xin Wang, Dong Yu, Xifeng Yan, William Yang Wang
2017	J	`jnl`	A Learning-to-Infer Method for Real-Time Power Grid Topology Identification. CoRR Yue Zhao, Jianshu Chen, H. Vincent Poor
2017	J	`jnl`	An Unsupervised Learning Method Exploiting Sequential Output Statistics. CoRR Yu Liu, Jianshu Chen, Li Deng
2017	J	`jnl`	Character-level Deep Conflation for Business Data Analytics. CoRR Zhe Gan, P. D. Singh, Ameet Joshi, Xiaodong He, Jianshu Chen, Jianfeng Gao, Li Deng
2017	Misc	`conf`	Character-level deep conflation for business data analytics. ICASSP Zhe Gan, P. D. Singh, Ameet Joshi, Xiaodong He, Jianshu Chen, Jianfeng Gao, Li Deng
2017	Misc	`conf`	CherryPick: Adaptively Unearthing the Best Cloud Configurations for Big Data Analytics. NSDI Omid Alipourfard, Hongqiang Harry Liu, Jianshu Chen, Shivaram Venkataraman, Minlan Yu, Ming Zhang
2017	—	`conf`	Q-LDA: Uncovering Latent Patterns in Text-based Sequential Decision Processes. NIPS Jianshu Chen, Chong Wang, Lin Xiao, Ji He, Lihong Li, Li Deng
2017	J	`jnl`	Smoothed Dual Embedding Control. CoRR Bo Dai, Albert E. Shaw, Lihong Li, Lin Xiao, Niao He, Jianshu Chen, Le Song
2017	A*	`conf`	Stochastic Variance Reduction Methods for Policy Evaluation. ICML Simon S. Du, Jianshu Chen, Lihong Li, Lin Xiao, Dengyong Zhou
2017	J	`jnl`	Stochastic Variance Reduction Methods for Policy Evaluation. CoRR Simon S. Du, Jianshu Chen, Lihong Li, Lin Xiao, Dengyong Zhou
2017	—	`conf`	Unsupervised Sequence Classification using Sequential Output Statistics. NIPS Yu Liu, Jianshu Chen, Li Deng
2016	J	`jnl`	Combating Reinforcement Learning's Sisyphean Curse with Intrinsic Fear. CoRR Zachary C. Lipton, Jianfeng Gao, Lihong Li, Jianshu Chen, Li Deng
2016	A*	`conf`	Deep Reinforcement Learning with a Combinatorial Action Space for Predicting Popular Reddit Threads. EMNLP Ji He, Mari Ostendorf, Xiaodong He, Jianshu Chen, Jianfeng Gao, Lihong Li, Li Deng
2016	J	`jnl`	Deep Reinforcement Learning with a Combinatorial Action Space for Predicting and Tracking Popular Discussion Threads. CoRR Ji He, Mari Ostendorf, Xiaodong He, Jianshu Chen, Jianfeng Gao, Lihong Li, Li Deng
2016	—	`conf`	Deep Reinforcement Learning with a Natural Language Action Space. ACL (1) Ji He, Jianshu Chen, Xiaodong He, Jianfeng Gao, Lihong Li, Li Deng, Mari Ostendorf
2016	J	`jnl`	Deep Sentence Embedding Using Long Short-Term Memory Networks: Analysis and Application to Information Retrieval. IEEE ACM Trans. Audio Speech Lang. Process. Hamid Palangi, Li Deng, Yelong Shen, Jianfeng Gao, Xiaodong He, Jianshu Chen, Xinying Song, Rabab K. Ward
2016	—	`conf`	Efficient neural network architecture for topology identification in smart grid. GlobalSIP Yue Zhao, Jianshu Chen, H. Vincent Poor
2016	J	`jnl`	Excess-Risk of Distributed Stochastic Learners. IEEE Trans. Inf. Theory Zaid J. Towfic, Jianshu Chen, Ali H. Sayed
2016	Misc	`conf`	Interpreting the prediction process of a deep network constructed from supervised topic models. ICASSP Jianshu Chen, Ji He, Xiaodong He, Lin Xiao, Jianfeng Gao, Li Deng
2016	—	`conf`	Learning to infer: A new variational inference approach for power grid topology identification. SSP Yue Zhao, Jianshu Chen, H. Vincent Poor
2016	A	`conf`	The 2015 NIST Language Recognition Evaluation: The Shared View of I2R, Fantastic4 and SingaMS. INTERSPEECH Kong-Aik Lee, Haizhou Li, Li Deng, Ville Hautamäki, 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
2016	J	`jnl`	Unsupervised Learning of Predictors from Unpaired Input-Output Samples. CoRR Jianshu Chen, Po-Sen Huang, Xiaodong He, Jianfeng Gao, Li Deng
2015	—	`conf`	A Deep Embedding Model for Co-occurrence Learning. ICDM Workshops Yelong Shen, Ruoming Jin, Jianshu Chen, Xiaodong He, Jianfeng Gao, Li Deng
2015	J	`jnl`	A Deep Embedding Model for Co-occurrence Learning. CoRR Yelong Shen, Ruoming Jin, Jianshu Chen, Xiaodong He, Jianfeng Gao, Li Deng
2015	J	`jnl`	Deep Reinforcement Learning with an Unbounded Action Space. CoRR Ji He, Jianshu Chen, Xiaodong He, Jianfeng Gao, Lihong Li, Li Deng, Mari Ostendorf
2015	J	`jnl`	Deep Sentence Embedding Using the Long Short Term Memory Network: Analysis and Application to Information Retrieval. CoRR Hamid Palangi, Li Deng, Yelong Shen, Jianfeng Gao, Xiaodong He, Jianshu Chen, Xinying Song, Rabab K. Ward
2015	J	`jnl`	Dictionary Learning Over Distributed Models. IEEE Trans. Signal Process. Jianshu Chen, Zaid J. Towfic, Ali H. Sayed
2015	J	`jnl`	Distributed Policy Evaluation Under Multiple Behavior Strategies. IEEE Trans. Autom. Control. Sergio Valcarcel Macua, Jianshu Chen, Santiago Zazo, Ali H. Sayed
2015	—	`conf`	End-to-end Learning of LDA by Mirror-Descent Back Propagation over a Deep Architecture. NIPS Jianshu Chen, Ji He, Yelong Shen, Lin Xiao, Xiaodong He, Jianfeng Gao, Xinying Song, Li Deng
2015	J	`jnl`	End-to-end Learning of Latent Dirichlet Allocation by Mirror-Descent Back Propagation. CoRR Jianshu Chen, Ji He, Yelong Shen, Lin Xiao, Xiaodong He, Jianfeng Gao, Xinying Song, Li Deng
2015	J	`jnl`	On the Learning Behavior of Adaptive Networks - Part I: Transient Analysis. IEEE Trans. Inf. Theory Jianshu Chen, Ali H. Sayed
2015	J	`jnl`	On the Learning Behavior of Adaptive Networks - Part II: Performance Analysis. IEEE Trans. Inf. Theory Jianshu Chen, Ali H. Sayed
2015	J	`jnl`	Recurrent Reinforcement Learning: A Hybrid Approach. CoRR Xiujun Li, Lihong Li, Jianfeng Gao, Xiaodong He, Jianshu Chen, Li Deng, Ji He
2015	J	`jnl`	Robust Power Control Under Location and Channel Uncertainty in Cognitive Radio Networks. IEEE Wirel. Commun. Lett. Jun Wang, Jianshu Chen, You Lu, Mario Gerla, Danijela Cabric
2014	—	`conf`	A New Method for Learning Deep Recurrent Neural Networks. ICLR (Workshop Poster) Jianshu Chen, Li Deng
2014	J	`jnl`	Dictionary Learning over Distributed Models. CoRR Jianshu Chen, Zaid J. Towfic, Ali H. Sayed
2014	—	`conf`	Dictionary learning over large distributed models via dual-ADMM strategies. MLSP Zaid J. Towfic, Jianshu Chen, Ali H. Sayed
2014	Misc	`conf`	Dynamic joint outage identification and state estimation in power systems. ACSSC Yue Zhao, Jianshu Chen, Andrea Goldsmith, H. Vincent Poor
2014	J	`jnl`	Identification of Outages in Power Systems With Uncertain States and Optimal Sensor Locations. IEEE J. Sel. Top. Signal Process. Yue Zhao, Jianshu Chen, Andrea Goldsmith, H. Vincent Poor
2014	Misc	`conf`	Line outage detection in power transmission networks via message passing algorithms. ACSSC Jianshu Chen, Yue Zhao, Andrea Goldsmith, H. Vincent Poor
2014	—	`—`	On the Learning Behavior of Adaptive Networks. Jianshu Chen
2014	Misc	`conf`	Online dictionary learning over distributed models. ICASSP Jianshu Chen, Zaid J. Towfic, Ali H. Sayed
2014	—	`conf`	Plant Image Analysis Machine Vision System in Greenhouse. CCTA Jianlun Wang, Xiaoying Cui, Dongbo Xu, Shuangshaung Zhao, Hao Liu, Shuting Wang, Jianshu Chen
2014	J	`jnl`	Semantic Modelling with Long-Short-Term Memory for Information Retrieval. CoRR Hamid Palangi, Li Deng, Yelong Shen, Jianfeng Gao, Xiaodong He, Jianshu Chen, Xinying Song, Rabab K. Ward
2014	Misc	`conf`	Sequence classification using the high-level features extracted from deep neural networks. ICASSP Li Deng, Jianshu Chen
2013	Misc	`conf`	Cooperative off-policy prediction of Markov decision processes in adaptive networks. ICASSP Sergio Valcarcel Macua, Jianshu Chen, Santiago Zazo, Ali H. Sayed
2013	J	`jnl`	Cramer-Rao Bounds for Joint RSS/DoA-Based Primary-User Localization in Cognitive Radio Networks. IEEE Trans. Wirel. Commun. Jun Wang, Jianshu Chen, Danijela Cabric
2013	J	`jnl`	Diffusion Strategies for Adaptation and Learning over Networks: An Examination of Distributed Strategies and Network Behavior. IEEE Signal Process. Mag. Ali H. Sayed, Sheng-Yuan Tu, Jianshu Chen, Xiaochuan Zhao, Zaid J. Towfic
2013	J	`jnl`	Distributed Pareto Optimization via Diffusion Strategies. IEEE J. Sel. Top. Signal Process. Jianshu Chen, Ali H. Sayed
2013	J	`jnl`	Distributed Policy Evaluation Under Multiple Behavior Strategies. CoRR Sergio Valcarcel Macua, Jianshu Chen, Santiago Zazo, Ali H. Sayed
2013	Misc	`conf`	Distributed inference over regression and classification models. ICASSP Zaid J. Towfic, Jianshu Chen, Ali H. Sayed
2013	J	`jnl`	Excess-Risk Analysis of Distributed Stochastic Learners CoRR Zaid J. Towfic, Jianshu Chen, Ali H. Sayed
2013	J	`jnl`	On Distributed Online Classification in the Midst of Concept Drifts CoRR Zaid J. Towfic, Jianshu Chen, Ali H. Sayed
2013	J	`jnl`	On distributed online classification in the midst of concept drifts. Neurocomputing Zaid J. Towfic, Jianshu Chen, Ali H. Sayed
2013	J	`jnl`	On the Learning Behavior of Adaptive Networks - Part I: Transient Analysis. CoRR Jianshu Chen, Ali H. Sayed
2013	J	`jnl`	On the Learning Behavior of Adaptive Networks - Part II: Performance Analysis. CoRR Jianshu Chen, Ali H. Sayed
2013	—	`conf`	On the benefits of diffusion cooperation for distributed optimization and learning. EUSIPCO Jianshu Chen, Ali H. Sayed
2013	—	`conf`	On the probability distribution of distributed optimization strategies. GlobalSIP Jianshu Chen, Ali H. Sayed
2013	Misc	`conf`	Online learning and adaptation over networks: More information is not necessarily better. ITA Ali H. Sayed, Sheng-Yuan Tu, Jianshu Chen
2013	—	`conf`	Optimal joint detection and estimation in linear models. CDC Jianshu Chen, Yue Zhao, Andrea Goldsmith, H. Vincent Poor
2013	—	`conf`	Research on Automatic Irrigation Algorithm of Strawberry Greenhouse Based on PLC. CCTA (1) Jianlun Wang, Shuting Wang, Jianshu Chen, Hao Liu, Dongbo Xu
2013	J	`jnl`	Stansfield Localization Algorithm: Theoretical Analysis and Distributed Implementation. IEEE Wirel. Commun. Lett. Jun Wang, Jianshu Chen, Danijela Cabric
2013	—	`conf`	The Matching Research of Strawberry Diseases Image Features Based on KD-Tree Search Method. CCTA (1) Jianshu Chen, Jianlun Wang, Shuting Wang, Hao Liu
2012	—	`conf`	Beam coordination via diffusion adaptation over array networks. SPAWC Xiaochuan Zhao, Jianshu Chen, Ali H. Sayed
2012	J	`jnl`	Cramer-Rao Bounds for Joint RSS/DoA-Based Primary-User Localization in Cognitive Radio Networks CoRR Jun Wang, Jianshu Chen, Danijela Cabric
2012	J	`jnl`	Diffusion Adaptation Strategies for Distributed Optimization and Learning Over Networks. IEEE Trans. Signal Process. Jianshu Chen, Ali H. Sayed
2012	J	`jnl`	Distributed Pareto Optimization via Diffusion Strategies CoRR Jianshu Chen, Ali H. Sayed
2012	B	`conf`	Distributed learning via Diffusion adaptation with application to ensemble learning. ESANN Zaid J. Towfic, Jianshu Chen, Ali H. Sayed
2012	—	`conf`	Distributed pareto-optimal solutions via diffusion adaptation. SSP Jianshu Chen, Ali H. Sayed
2012	—	`conf`	Distributed throughput optimization over P2P mesh networks using diffusion adaptation. ICC Zaid J. Towfic, Jianshu Chen, Ali H. Sayed
2012	—	`conf`	Edge Geometric Measurement Based Principal Component Analysis in Strawberry Leaf Images. CCTA (1) Jianlun Wang, Yu Han, Zetian Fu, Daoliang Li, Jianshu Chen, Shuting Wang
2012	—	`conf`	On the generalization ability of distributed online learners. MLSP Zaid J. Towfic, Jianshu Chen, Ali H. Sayed
2012	—	`conf`	On the limiting behavior of distributed optimization strategies. Allerton Conference Jianshu Chen, Ali H. Sayed
2012	Misc	`conf`	Performance of diffusion adaptation for collaborative optimization. ICASSP Jianshu Chen, Ali H. Sayed
2011	Misc	`conf`	Bio-inspired cooperative optimization with application to bacteria motility. ICASSP Jianshu Chen, Ali H. Sayed
2011	—	`conf`	Collaborative learning of mixture models using diffusion adaptation. MLSP Zaid J. Towfic, Jianshu Chen, Ali H. Sayed
2011	J	`jnl`	Diffusion Adaptation Strategies for Distributed Optimization and Learning over Networks CoRR Jianshu Chen, Ali H. Sayed
2011	—	`conf`	Distributed optimization via diffusion adaptation. CAMSAP Jianshu Chen, Sheng-Yuan Tu, Ali H. Sayed
2011	—	`conf`	Optimalwaveform design for MIMO radarwith low probability of interception. DSP Songbai Wang, Jian Wang, Jianshu Chen, Xiuming Shan
2010	J	`jnl`	A Multi-Interference-Channel Matrix Pair Beamformer for CDMA Systems CoRR Jian Wang, Jianshu Chen, Jian Yuan, Ning Ge, Shuangqing Wei
2010	J	`jnl`	Performance Analysis of the Matrix Pair Beamformer with Matrix Mismatch CoRR Jianshu Chen, Jian Wang, Xiuming Shan, Ning Ge, Xiang-Gen Xia
2009	B	`conf`	Analyzing amplify-and-forward and decode-and-forward cooperative strategies in Wyner's channel model. WCNC Pengyu Zhang, Jian Yuan, Jianshu Chen, Jian Wang, Jin Yang
2008	—	`conf`	An Orthogonal Projection Approach for Blind Beamforming in Multipath CDMA Channels. CNSR Jianshu Chen, Jian Wang, Pengyu Zhang, Jian Yuan, Xiuming Shan
2007	—	`conf`	Analysis of Time- and Space-domain Sampling for Probe Vehicle-based Traffic Information System. ITSC Jun Hong, Xuedan Zhang, Jianshu Chen, Zhongya Wei, Jiannong Cao, Yong Ren