Jianshu Chen

Publication Activity (10 Years)

Years Active: 2007-2024
Publications (10 Years): 109

Top Venues

CoRR

ICASSP

ICLR

NeurIPS

University of California, Los Angeles, USA (PHD)

Education History

University of California, Los Angeles, USA

PHD

Publications

Rui Yang, Xiaoman Pan, Feng Luo, Shuang Qiu, Han Zhong, Dong Yu, Jianshu Chen
Rewards-in-Context: Multi-objective Alignment of Foundation Models with Dynamic Preference Adjustment. CoRR (2024)
Jiaao Chen, Xiaoman Pan, Dian Yu, Kaiqiang Song, Xiaoyang Wang, Dong Yu, Jianshu Chen
Skills-in-Context Prompting: Unlocking Compositionality in Large Language Models. CoRR (2023)
Neeraj Varshney, Wenlin Yao, Hongming Zhang, Jianshu Chen, Dong Yu
A Stitch in Time Saves Nine: Detecting and Mitigating Hallucinations of LLMs by Validating Low-Confidence Generation. CoRR (2023)
Yulai Zhao, Jianshu Chen, Simon S. Du
Blessing of Class Diversity in Pre-training. AISTATS (2023)
Keming Lu, Xiaoman Pan, Kaiqiang Song, Hongming Zhang, Dong Yu, Jianshu Chen
PIVOINE: Instruction Tuning for Open-world Entity Profiling. EMNLP (Findings) (2023)
Xiaoman Pan, Wenlin Yao, Hongming Zhang, Dian Yu, Dong Yu, Jianshu Chen
Knowledge-in-Context: Towards Knowledgeable Semi-Parametric Language Models. ICLR (2023)
Nan Xu, Hongming Zhang, Jianshu Chen
CEO: Corpus-based Open-Domain Event Ontology Induction. CoRR (2023)
Xinran Zhao, Hongming Zhang, Xiaoman Pan, Wenlin Yao, Dong Yu, Jianshu Chen
Thrust: Adaptively Propels Large Language Models with External Knowledge. CoRR (2023)
Jianshu Chen
Learning Language Representations with Logical Inductive Bias. CoRR (2023)
Xinran Zhao, Hongming Zhang, Xiaoman Pan, Wenlin Yao, Dong Yu, Jianshu Chen
Thrust: Adaptively Propels Large Language Models with External Knowledge. NeurIPS (2023)
Wenlin Yao, Lifeng Jin, Hongming Zhang, Xiaoman Pan, Kaiqiang Song, Dian Yu, Dong Yu, Jianshu Chen
How do Words Contribute to Sentence Semantics? Revisiting Sentence Embeddings with a Perturbation Method. EACL (2023)
Xuansheng Wu, Wenlin Yao, Jianshu Chen, Xiaoman Pan, Xiaoyang Wang, Ninghao Liu, Dong Yu
From Language Modeling to Instruction Following: Understanding the Behavior Shift in LLMs after Instruction Tuning. CoRR (2023)
Keming Lu, Xiaoman Pan, Kaiqiang Song, Hongming Zhang, Dong Yu, Jianshu Chen
PIVOINE: Instruction Tuning for Open-world Information Extraction. CoRR (2023)
Fuxiao Liu, Xiaoyang Wang, Wenlin Yao, Jianshu Chen, Kaiqiang Song, Sangwoo Cho, Yaser Yacoob, Dong Yu
MMC: Advancing Multimodal Chart Understanding with Large-scale Instruction Tuning. CoRR (2023)
Zhenhailong Wang, Xiaoman Pan, Dian Yu, Dong Yu, Jianshu Chen, Heng Ji
Zemi: Learning Zero-Shot Semi-Parametric Language Models from Multiple Tasks. ACL (Findings) (2023)
Jianshu Chen
Learning Language Representations with Logical Inductive Bias. ICLR (2023)
Pei Chen, Wenlin Yao, Hongming Zhang, Xiaoman Pan, Dian Yu, Dong Yu, Jianshu Chen
ZeroKBC: A Comprehensive Benchmark for Zero-Shot Knowledge Base Completion. CoRR (2022)
Xiang Yue, Xiaoman Pan, Wenlin Yao, Dian Yu, Dong Yu, Jianshu Chen
C-MORE: Pretraining to Answer Open-Domain Questions by Consulting Millions of References. ACL (2) (2022)
Pei Chen, Wenlin Yao, Hongming Zhang, Xiaoman Pan, Dian Yu, Dong Yu, Jianshu Chen
ZeroKBC: A Comprehensive Benchmark for Zero-Shot Knowledge Base Completion. ICDM (Workshops) (2022)
Xiang Yue, Xiaoman Pan, Wenlin Yao, Dian Yu, Dong Yu, Jianshu Chen
C-MORE: Pretraining to Answer Open-Domain Questions by Consulting Millions of References. CoRR (2022)
Daoming Lyu, Bo Liu, Jianshu Chen
PRIMA: Planner-Reasoner Inside a Multi-task Reasoning Agent CoRR (2022)
Shiyang Li, Jianshu Chen, Yelong Shen, Zhiyu Chen, Xinlu Zhang, Zekun Li, Hong Wang, Jing Qian, Baolin Peng, Yi Mao, Wenhu Chen, Xifeng Yan
Explanations from Large Language Models Make Small Reasoners Better. CoRR (2022)
Kai Sun, Dian Yu, Jianshu Chen, Dong Yu, Claire Cardie
Improving Machine Reading Comprehension with Contextualized Commonsense Knowledge. ACL (1) (2022)
Chao Zhao, Wenlin Yao, Dian Yu, Kaiqiang Song, Dong Yu, Jianshu Chen
Learning-by-Narrating: Narrative Pre-Training for Zero-Shot Dialogue Comprehension. ACL (2) (2022)
Yue Yang, Wenlin Yao, Hongming Zhang, Xiaoyang Wang, Dong Yu, Jianshu Chen
Z-LaVI: Zero-Shot Language Solver Fueled by Visual Imagination. EMNLP (2022)
Yue Yang, Wenlin Yao, Hongming Zhang, Xiaoyang Wang, Dong Yu, Jianshu Chen
Z-LaVI: Zero-Shot Language Solver Fueled by Visual Imagination. CoRR (2022)
Jianyi Zhang, Yiran Chen, Jianshu Chen
Join-Chain Network: A Logical Reasoning View of the Multi-head Attention in Transformer. CoRR (2022)
Chao Zhao, Wenlin Yao, Dian Yu, Kaiqiang Song, Dong Yu, Jianshu Chen
Learning-by-Narrating: Narrative Pre-Training for Zero-Shot Dialogue Comprehension. CoRR (2022)
Xiaoman Pan, Wenlin Yao, Hongming Zhang, Dian Yu, Dong Yu, Jianshu Chen
Knowledge-in-Context: Towards Knowledgeable Semi-Parametric Language Models. CoRR (2022)
Yulai Zhao, Jianshu Chen, Simon S. Du
Blessing of Class Diversity in Pre-training. CoRR (2022)
Zhenhailong Wang, Xiaoman Pan, Dian Yu, Dong Yu, Jianshu Chen, Heng Ji
Zemi: Learning Zero-Shot Semi-Parametric Language Models from Multiple Tasks. CoRR (2022)
Jianyi Zhang, Yiran Chen, Jianshu Chen
Join-Chain Network: A Logical Reasoning View of the Multi-head Attention in Transformer. ICDM (Workshops) (2022)
Ziheng Chen, Sichen Zhong, Jianshu Chen, Yue Zhao
DeepPursuit: Uniting Classical Wisdom and Deep RL for Sparse Recovery. ACSCC (2021)
Wenlin Yao, Xiaoman Pan, Lifeng Jin, Jianshu Chen, Dian Yu, Dong Yu
Connect-the-Dots: Bridging Semantics between Words and Definitions via Aligning Word Sense Inventories. CoRR (2021)
Wenlin Yao, Xiaoman Pan, Lifeng Jin, Jianshu Chen, Dian Yu, Dong Yu
Connect-the-Dots: Bridging Semantics between Words and Definitions via Aligning Word Sense Inventories. EMNLP (1) (2021)
Wenhu Chen, Jianshu Chen, Yu Su, Zhiyu Chen, William Yang Wang
Logical Natural Language Generation from Open-Domain Tables. CoRR (2020)
Anji Liu, Yitao Liang, Ji Liu, Guy Van den Broeck, Jianshu Chen
On Effective Parallelization of Monte Carlo Tree Search. CoRR (2020)
Yiwu Zhong, Liwei Wang, Jianshu Chen, Dong Yu, Yin Li
Comprehensive Image Captioning via Scene Graph Decomposition. ECCV (14) (2020)
Wenhu Chen, Hongmin Wang, Jianshu Chen, Yunkai Zhang, Hong Wang, Shiyang Li, Xiyou Zhou, William Yang Wang
TabFact: A Large-scale Dataset for Table-based Fact Verification. ICLR (2020)
Anji Liu, Jianshu Chen, Mingze Yu, Yu Zhai, Xuewen Zhou, Ji Liu
Watch the Unobserved: A Simple Approach to Parallelizing Monte Carlo Tree Search. ICLR (2020)
Linfeng Song, Kun Xu, Yue Zhang, Jianshu Chen, Dong Yu
ZPR2: Joint Zero Pronoun Recovery and Resolution using Multi-Task Learning and BERT. ACL (2020)
Kai Sun, Dian Yu, Jianshu Chen, Dong Yu, Claire Cardie
Improving Machine Reading Comprehension with Contextualized Commonsense Knowledge. CoRR (2020)
Hongyu Gong, Yelong Shen, Dian Yu, Jianshu Chen, Dong Yu
Recurrent Chunking Mechanisms for Long-Text Machine Reading Comprehension. CoRR (2020)
Yiwu Zhong, Liwei Wang, Jianshu Chen, Dong Yu, Yin Li
Comprehensive Image Captioning via Scene Graph Decomposition. CoRR (2020)
Wenhu Chen, Jianshu Chen, Yu Su, Zhiyu Chen, William Yang Wang
Logical Natural Language Generation from Open-Domain Tables. ACL (2020)
Hongyu Gong, Yelong Shen, Dian Yu, Jianshu Chen, Dong Yu
Recurrent Chunking Mechanisms for Long-Text Machine Reading Comprehension. ACL (2020)
Yue Zhao, Jianshu Chen, H. Vincent Poor
A Learning-to-Infer Method for Real-Time Power Grid Multi-Line Outage Identification. IEEE Trans. Smart Grid 11 (1) (2020)
Adithya M. Devraj, Jianshu Chen
Stochastic Variance Reduced Primal Dual Algorithms for Empirical Composition Optimization. NeurIPS (2019)
Hai Wang, Dian Yu, Kai Sun, Jianshu Chen, Dong Yu
Improving Pre-Trained Multilingual Models with Vocabulary Expansion. CoRR (2019)
Kai Sun, Dian Yu, Jianshu Chen, Dong Yu, Yejin Choi, Claire Cardie
DREAM: A Challenge Dataset and Models for Dialogue-Based Reading Comprehension. Trans. Assoc. Comput. Linguistics 7 (2019)
Adithya M. Devraj, Jianshu Chen
Stochastic Variance Reduced Primal Dual Algorithms for Empirical Composition Optimization. CoRR (2019)
Chih-Kuan Yeh, Jianshu Chen, Chengzhu Yu, Dong Yu
Unsupervised Speech Recognition via Segmental Empirical Output Distribution Matching. ICLR (Poster) (2019)
Shiyang Li, Jianshu Chen, Dian Yu
Teaching Pretrained Models with Commonsense Reasoning: A Preliminary KB-Based Approach. CoRR (2019)
Hai Wang, Dian Yu, Kai Sun, Jianshu Chen, Dong Yu
Improving Pre-Trained Multilingual Model with Vocabulary Expansion. CoNLL (2019)
Wenhu Chen, Hongmin Wang, Jianshu Chen, Yunkai Zhang, Hong Wang, Shiyang Li, Xiyou Zhou, William Yang Wang
TabFact: A Large-scale Dataset for Table-based Fact Verification. CoRR (2019)
Yu Liu, Li Deng, Jianshu Chen, Chang Wen Chen
From Caesar Cipher to Unsupervised Learning: A New Method for Classifier Parameter Estimation. CoRR (2019)
Kai Sun, Dian Yu, Jianshu Chen, Dong Yu, Yejin Choi, Claire Cardie
DREAM: A Challenge Dataset and Models for Dialogue-Based Reading Comprehension. CoRR (2019)
Jiaao Chen, Jianshu Chen, Zhou Yu
Incorporating Structured Commonsense Knowledge in Story Completion. AAAI (2019)
Xiaoman Pan, Kai Sun, Dian Yu, Jianshu Chen, Heng Ji, Claire Cardie, Dong Yu
Improving Question Answering with External Knowledge. MRQA@EMNLP (2019)
Wenhu Chen, Jianshu Chen, Pengda Qin, Xifeng Yan, William Yang Wang
Semantically Conditioned Dialog Response Generation via Hierarchical Disentangled Self-Attention. CoRR (2019)
Sichen Zhong, Yue Zhao, Jianshu Chen
Learning to Recover Sparse Signals. Allerton (2019)
Hai Wang, Dian Yu, Kai Sun, Jianshu Chen, Dong Yu, David A. McAllester, Dan Roth
Evidence Sentence Extraction for Machine Reading Comprehension. CoNLL (2019)
Hai Wang, Dian Yu, Kai Sun, Jianshu Chen, Dong Yu, Dan Roth, David A. McAllester
Evidence Sentence Extraction for Machine Reading Comprehension. CoRR (2019)
Wenhu Chen, Jianshu Chen, Pengda Qin, Xifeng Yan, William Yang Wang
Semantically Conditioned Dialog Response Generation via Hierarchical Disentangled Self-Attention. ACL (1) (2019)
Wenhu Chen, Jianshu Chen, Yu Su, Xin Wang, Dong Yu, Xifeng Yan, William Yang Wang
XL-NBT: A Cross-lingual Neural Belief Tracking Framework. CoRR (2018)
Bo Dai, Hanjun Dai, Niao He, Weiyang Liu, Zhen Liu, Jianshu Chen, Lin Xiao, Le Song
Coupled Variational Bayes via Optimization Embedding. NeurIPS (2018)
Chen Yu, Jianshu Chen, Jie Zhong, Ji Liu
P-MCGS: Parallel Monte Carlo Acyclic Graph Search. CoRR (2018)
Chih-Kuan Yeh, Jianshu Chen, Chengzhu Yu, Dong Yu
Unsupervised Speech Recognition via Segmental Empirical Output Distribution Matching. CoRR (2018)
Yelong Shen, Jianshu Chen, Po-Sen Huang, Yuqing Guo, Jianfeng Gao
ReinforceWalk: Learning to Walk in Graph with Monte Carlo Tree Search. ICLR (Workshop) (2018)
Yue Zhao, Jianshu Chen, H. Vincent Poor
Learning to Infer Power Grid Topologies: Performance and Scalability. DSW (2018)
Yelong Shen, Jianshu Chen, Po-Sen Huang, Yuqing Guo, Jianfeng Gao
ReinforceWalk: Learning to Walk in Graph with Monte Carlo Tree Search. CoRR (2018)
Yongfei Zhang, Jianshu Chen, Dan Miao, Chen Zhang
Design and Analysis of an Interactive MOOC Teaching System Based on Virtual Reality. iJET 13 (7) (2018)
Jiaao Chen, Jianshu Chen, Zhou Yu
Incorporating Structured Commonsense Knowledge in Story Completion. CoRR (2018)
Yelong Shen, Jianshu Chen, Po-Sen Huang, Yuqing Guo, Jianfeng Gao
M-Walk: Learning to Walk over Graphs using Monte Carlo Tree Search. NeurIPS (2018)
Wenhu Chen, Jianshu Chen, Yu Su, Xin Wang, Dong Yu, Xifeng Yan, William Yang Wang
XL-NBT: A Cross-lingual Neural Belief Tracking Framework. EMNLP (2018)
Bo Dai, Albert Shaw, Lihong Li, Lin Xiao, Niao He, Zhen Liu, Jianshu Chen, Le Song
SBEED: Convergent Reinforcement Learning with Nonlinear Function Approximation. ICML (2018)
Bo Dai, Albert Shaw, Lihong Li, Lin Xiao, Niao He, Jianshu Chen, Le Song
Smoothed Dual Embedding Control. CoRR (2017)
Zhe Gan, P. D. Singh, Ameet Joshi, Xiaodong He, Jianshu Chen, Jianfeng Gao, Li Deng
Character-level deep conflation for business data analytics. ICASSP (2017)
Simon S. Du, Jianshu Chen, Lihong Li, Lin Xiao, Dengyong Zhou
Stochastic Variance Reduction Methods for Policy Evaluation. CoRR (2017)
Yue Zhao, Jianshu Chen, H. Vincent Poor
A Learning-to-Infer Method for Real-Time Power Grid Topology Identification. CoRR (2017)
Jianshu Chen, Chong Wang, Lin Xiao, Ji He, Lihong Li, Li Deng
Q-LDA: Uncovering Latent Patterns in Text-based Sequential Decision Processes. NIPS (2017)
Simon S. Du, Jianshu Chen, Lihong Li, Lin Xiao, Dengyong Zhou
Stochastic Variance Reduction Methods for Policy Evaluation. ICML (2017)
Zhe Gan, P. D. Singh, Ameet Joshi, Xiaodong He, Jianshu Chen, Jianfeng Gao, Li Deng
Character-level Deep Conflation for Business Data Analytics. CoRR (2017)
Yu Liu, Jianshu Chen, Li Deng
Unsupervised Sequence Classification using Sequential Output Statistics. NIPS (2017)
Omid Alipourfard, Hongqiang Harry Liu, Jianshu Chen, Shivaram Venkataraman, Minlan Yu, Ming Zhang
CherryPick: Adaptively Unearthing the Best Cloud Configurations for Big Data Analytics. NSDI (2017)
Yu Liu, Jianshu Chen, Li Deng
An Unsupervised Learning Method Exploiting Sequential Output Statistics. CoRR (2017)
Zaid J. Towfic, Jianshu Chen, Ali H. Sayed
Excess-Risk of Distributed Stochastic Learners. IEEE Trans. Inf. Theory 62 (10) (2016)
Ji He, Mari Ostendorf, Xiaodong He, Jianshu Chen, Jianfeng Gao, Lihong Li, Li Deng
Deep Reinforcement Learning with a Combinatorial Action Space for Predicting and Tracking Popular Discussion Threads. CoRR (2016)
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
The 2015 NIST Language Recognition Evaluation: The Shared View of I2R, Fantastic4 and SingaMS. INTERSPEECH (2016)
Yue Zhao, Jianshu Chen, H. Vincent Poor
Learning to infer: A new variational inference approach for power grid topology identification. SSP (2016)
Zachary C. Lipton, Jianfeng Gao, Lihong Li, Jianshu Chen, Li Deng
Combating Reinforcement Learning's Sisyphean Curse with Intrinsic Fear. CoRR (2016)
Hamid Palangi, Li Deng, Yelong Shen, Jianfeng Gao, Xiaodong He, Jianshu Chen, Xinying Song, Rabab K. Ward
Deep Sentence Embedding Using Long Short-Term Memory Networks: Analysis and Application to Information Retrieval. IEEE ACM Trans. Audio Speech Lang. Process. 24 (4) (2016)
Ji He, Mari Ostendorf, Xiaodong He, Jianshu Chen, Jianfeng Gao, Lihong Li, Li Deng
Deep Reinforcement Learning with a Combinatorial Action Space for Predicting Popular Reddit Threads. EMNLP (2016)
Jianshu Chen, Po-Sen Huang, Xiaodong He, Jianfeng Gao, Li Deng
Unsupervised Learning of Predictors from Unpaired Input-Output Samples. CoRR (2016)
Jianshu Chen, Ji He, Xiaodong He, Lin Xiao, Jianfeng Gao, Li Deng
Interpreting the prediction process of a deep network constructed from supervised topic models. ICASSP (2016)
Yue Zhao, Jianshu Chen, H. Vincent Poor
Efficient neural network architecture for topology identification in smart grid. GlobalSIP (2016)
Ji He, Jianshu Chen, Xiaodong He, Jianfeng Gao, Lihong Li, Li Deng, Mari Ostendorf
Deep Reinforcement Learning with a Natural Language Action Space. ACL (1) (2016)
Hamid Palangi, Li Deng, Yelong Shen, Jianfeng Gao, Xiaodong He, Jianshu Chen, Xinying Song, Rabab K. Ward
Deep Sentence Embedding Using the Long Short Term Memory Network: Analysis and Application to Information Retrieval. CoRR (2015)
Yelong Shen, Ruoming Jin, Jianshu Chen, Xiaodong He, Jianfeng Gao, Li Deng
A Deep Embedding Model for Co-occurrence Learning. CoRR (2015)
Jianshu Chen, Ji He, Yelong Shen, Lin Xiao, Xiaodong He, Jianfeng Gao, Xinying Song, Li Deng
End-to-end Learning of Latent Dirichlet Allocation by Mirror-Descent Back Propagation. CoRR (2015)

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Publication Activity (10 Years)

Top Topics

Top Venues

Jianshu Chen