Analysis of Time- and Space-domain Sampling for Probe Vehicle-based Traffic Information System. - Jun Hong 006; Xuedan Zhang; Jianshu Chen; Zhongya Wei; Jiannong Cao 001; Yong Ren 001 (ITSC, 2007)

An Orthogonal Projection Approach for Blind Beamforming in Multipath CDMA Channels. - Jianshu Chen; Jian Wang 030; Pengyu Zhang; Jian Yuan; Xiuming Shan (CNSR, 2008)

Analyzing amplify-and-forward and decode-and-forward cooperative strategies in Wyner's channel model. - Pengyu Zhang; Jian Yuan; Jianshu Chen; Jian Wang 030; Jin Yang (WCNC, 2009)

Performance Analysis of the Matrix Pair Beamformer with Matrix Mismatch - Jianshu Chen; Jian Wang; Xiuming Shan; Ning Ge 001; Xiang-Gen Xia 001 (CoRR, 2010)

A Multi-Interference-Channel Matrix Pair Beamformer for CDMA Systems - Jian Wang 030; Jianshu Chen; Jian Yuan; Ning Ge; Shuangqing Wei (CoRR, 2010)

Distributed optimization via diffusion adaptation. - Jianshu Chen; Sheng-Yuan Tu; Ali H. Sayed (CAMSAP, 2011)

Bio-inspired cooperative optimization with application to bacteria motility. - Jianshu Chen; Ali H. Sayed (ICASSP, 2011)

Optimalwaveform design for MIMO radarwith low probability of interception. - Songbai Wang; Jian Wang; Jianshu Chen; Xiuming Shan (DSP, 2011)

Collaborative learning of mixture models using diffusion adaptation. - Zaid J. Towfic; Jianshu Chen; Ali H. Sayed (MLSP, 2011)

On the limiting behavior of distributed optimization strategies. - Jianshu Chen; Ali H. Sayed (Allerton Conference, 2012)

Distributed learning via Diffusion adaptation with application to ensemble learning. - Zaid J. Towfic; Jianshu Chen; Ali H. Sayed (ESANN, 2012)

Performance of diffusion adaptation for collaborative optimization. - Jianshu Chen; Ali H. Sayed (ICASSP, 2012)

Distributed throughput optimization over P2P mesh networks using diffusion adaptation. - Zaid J. Towfic; Jianshu Chen; Ali H. Sayed (ICC, 2012)

Edge Geometric Measurement Based Principal Component Analysis in Strawberry Leaf Images. - Jianlun Wang; Yu Han; Zetian Fu; Daoliang Li; Jianshu Chen; Shuting Wang (CCTA (1), 2012)

On the generalization ability of distributed online learners. - Zaid J. Towfic; Jianshu Chen; Ali H. Sayed (MLSP, 2012)

Beam coordination via diffusion adaptation over array networks. - Xiaochuan Zhao; Jianshu Chen; Ali H. Sayed (SPAWC, 2012)

Distributed pareto-optimal solutions via diffusion adaptation. - Jianshu Chen; Ali H. Sayed (SSP, 2012)

Diffusion Adaptation Strategies for Distributed Optimization and Learning Over Networks. - Jianshu Chen; Ali H. Sayed (IEEE Trans. Signal Process., 2012)

Optimal joint detection and estimation in linear models. - Jianshu Chen; Yue Zhao 007; Andrea Goldsmith; H. Vincent Poor (CDC, 2013)

On the benefits of diffusion cooperation for distributed optimization and learning. - Jianshu Chen; Ali H. Sayed (EUSIPCO, 2013)

On the probability distribution of distributed optimization strategies. - Jianshu Chen; Ali H. Sayed (GlobalSIP, 2013)

Cooperative off-policy prediction of Markov decision processes in adaptive networks. - Sergio Valcarcel Macua; Jianshu Chen; Santiago Zazo; Ali H. Sayed (ICASSP, 2013)

Distributed inference over regression and classification models. - Zaid J. Towfic; Jianshu Chen; Ali H. Sayed (ICASSP, 2013)

The Matching Research of Strawberry Diseases Image Features Based on KD-Tree Search Method. - Jianshu Chen; Jianlun Wang; Shuting Wang; Hao Liu (CCTA (1), 2013)

Research on Automatic Irrigation Algorithm of Strawberry Greenhouse Based on PLC. - Jianlun Wang; Shuting Wang; Jianshu Chen; Hao Liu; Dongbo Xu (CCTA (1), 2013)

Online learning and adaptation over networks: More information is not necessarily better. - Ali H. Sayed; Sheng-Yuan Tu; Jianshu Chen (ITA, 2013)

Excess-Risk Analysis of Distributed Stochastic Learners - Zaid J. Towfic; Jianshu Chen; Ali H. Sayed (CoRR, 2013)

On distributed online classification in the midst of concept drifts. - Zaid J. Towfic; Jianshu Chen; Ali H. Sayed (Neurocomputing, 2013)

Distributed Pareto Optimization via Diffusion Strategies. - Jianshu Chen; Ali H. Sayed (IEEE J. Sel. Top. Signal Process., 2013)

Diffusion Strategies for Adaptation and Learning over Networks: An Examination of Distributed Strategies and Network Behavior. - Ali H. Sayed; Sheng-Yuan Tu; Jianshu Chen; Xiaochuan Zhao; Zaid J. Towfic (IEEE Signal Process. Mag., 2013)

Cramer-Rao Bounds for Joint RSS/DoA-Based Primary-User Localization in Cognitive Radio Networks. - Jun Wang 007; Jianshu Chen; Danijela Cabric (IEEE Trans. Wirel. Commun., 2013)

Stansfield Localization Algorithm: Theoretical Analysis and Distributed Implementation. - Jun Wang 007; Jianshu Chen; Danijela Cabric (IEEE Wirel. Commun. Lett., 2013)

Line outage detection in power transmission networks via message passing algorithms. - Jianshu Chen; Yue Zhao 007; Andrea Goldsmith; H. Vincent Poor (ACSSC, 2014)

Dynamic joint outage identification and state estimation in power systems. - Yue Zhao 007; Jianshu Chen; Andrea Goldsmith; H. Vincent Poor (ACSSC, 2014)

Online dictionary learning over distributed models. - Jianshu Chen; Zaid J. Towfic; Ali H. Sayed (ICASSP, 2014)

Sequence classification using the high-level features extracted from deep neural networks. - Li Deng 001; Jianshu Chen (ICASSP, 2014)

Plant Image Analysis Machine Vision System in Greenhouse. - Jianlun Wang; Xiaoying Cui; Dongbo Xu; Shuangshaung Zhao; Hao Liu; Shuting Wang; Jianshu Chen (CCTA, 2014)

Dictionary learning over large distributed models via dual-ADMM strategies. - Zaid J. Towfic; Jianshu Chen; Ali H. Sayed (MLSP, 2014)

A New Method for Learning Deep Recurrent Neural Networks. - Jianshu Chen; Li Deng 001 (ICLR (Workshop Poster), 2014)

Semantic Modelling with Long-Short-Term Memory for Information Retrieval. - Hamid Palangi; Li Deng 001; Yelong Shen; Jianfeng Gao 001; Xiaodong He 001; Jianshu Chen; Xinying Song; Rabab K. Ward (CoRR, 2014)

Identification of Outages in Power Systems With Uncertain States and Optimal Sensor Locations. - Yue Zhao 007; Jianshu Chen; Andrea Goldsmith; H. Vincent Poor (IEEE J. Sel. Top. Signal Process., 2014)

On the Learning Behavior of Adaptive Networks. - Jianshu Chen (2014)

A Deep Embedding Model for Co-occurrence Learning. - Yelong Shen; Ruoming Jin; Jianshu Chen; Xiaodong He 001; Jianfeng Gao 001; Li Deng 001 (ICDM Workshops, 2015)

End-to-end Learning of LDA by Mirror-Descent Back Propagation over a Deep Architecture. - Jianshu Chen; Ji He; Yelong Shen; Lin Xiao; Xiaodong He 001; Jianfeng Gao 001; Xinying Song; Li Deng 001 (NIPS, 2015)

End-to-end Learning of Latent Dirichlet Allocation by Mirror-Descent Back Propagation. - Jianshu Chen; Ji He; Yelong Shen; Lin Xiao; Xiaodong He 001; Jianfeng Gao 001; Xinying Song; Li Deng 001 (CoRR, 2015)

Deep Reinforcement Learning with an Unbounded Action Space. - Ji He; Jianshu Chen; Xiaodong He 001; Jianfeng Gao 001; Lihong Li 001; Li Deng 001; Mari Ostendorf (CoRR, 2015)

Recurrent Reinforcement Learning: A Hybrid Approach. - Xiujun Li; Lihong Li 001; Jianfeng Gao 001; Xiaodong He 001; Jianshu Chen; Li Deng 001; Ji He (CoRR, 2015)

Deep Sentence Embedding Using the Long Short Term Memory Network: Analysis and Application to Information Retrieval. - Hamid Palangi; Li Deng 001; Yelong Shen; Jianfeng Gao 001; Xiaodong He 001; Jianshu Chen; Xinying Song; Rabab K. Ward (CoRR, 2015)

Distributed Policy Evaluation Under Multiple Behavior Strategies. - Sergio Valcarcel Macua; Jianshu Chen; Santiago Zazo; Ali H. Sayed (IEEE Trans. Autom. Control., 2015)

On the Learning Behavior of Adaptive Networks - Part I: Transient Analysis. - Jianshu Chen; Ali H. Sayed (IEEE Trans. Inf. Theory, 2015)

On the Learning Behavior of Adaptive Networks - Part II: Performance Analysis. - Jianshu Chen; Ali H. Sayed (IEEE Trans. Inf. Theory, 2015)

Dictionary Learning Over Distributed Models. - Jianshu Chen; Zaid J. Towfic; Ali H. Sayed (IEEE Trans. Signal Process., 2015)

Robust Power Control Under Location and Channel Uncertainty in Cognitive Radio Networks. - Jun Wang 007; Jianshu Chen; You Lu 001; Mario Gerla; Danijela Cabric (IEEE Wirel. Commun. Lett., 2015)

Deep Reinforcement Learning with a Natural Language Action Space. - Ji He; Jianshu Chen; Xiaodong He 001; Jianfeng Gao 001; Lihong Li 001; Li Deng 001; Mari Ostendorf (ACL (1), 2016)

Deep Reinforcement Learning with a Combinatorial Action Space for Predicting Popular Reddit Threads. - Ji He; Mari Ostendorf; Xiaodong He 001; Jianshu Chen; Jianfeng Gao 001; Lihong Li 001; Li Deng 001 (EMNLP, 2016)

Efficient neural network architecture for topology identification in smart grid. - Yue Zhao 007; Jianshu Chen; H. Vincent Poor (GlobalSIP, 2016)

Interpreting the prediction process of a deep network constructed from supervised topic models. - Jianshu Chen; Ji He; Xiaodong He 001; Lin Xiao; Jianfeng Gao 001; Li Deng 001 (ICASSP, 2016)

The 2015 NIST Language Recognition Evaluation: The Shared View of I2R, Fantastic4 and SingaMS. - Kong-Aik Lee; Haizhou Li 001; Li Deng 001; Ville Hautamäki; Wei Rao 002; Xiong Xiao; Anthony Larcher; Hanwu Sun; Trung Hieu Nguyen 001; Guangsen Wang; Aleksandr Sizov; Jianshu Chen; et al. (INTERSPEECH, 2016)

Learning to infer: A new variational inference approach for power grid topology identification. - Yue Zhao 007; Jianshu Chen; H. Vincent Poor (SSP, 2016)

Unsupervised Learning of Predictors from Unpaired Input-Output Samples. - Jianshu Chen; Po-Sen Huang; Xiaodong He 001; Jianfeng Gao 001; Li Deng 001 (CoRR, 2016)

Deep Reinforcement Learning with a Combinatorial Action Space for Predicting and Tracking Popular Discussion Threads. - Ji He; Mari Ostendorf; Xiaodong He 001; Jianshu Chen; Jianfeng Gao 001; Lihong Li 001; Li Deng 001 (CoRR, 2016)

Combating Reinforcement Learning's Sisyphean Curse with Intrinsic Fear. - Zachary C. Lipton; Jianfeng Gao 001; Lihong Li 001; Jianshu Chen; Li Deng 001 (CoRR, 2016)

Deep Sentence Embedding Using Long Short-Term Memory Networks: Analysis and Application to Information Retrieval. - Hamid Palangi; Li Deng 001; Yelong Shen; Jianfeng Gao 001; Xiaodong He 001; Jianshu Chen; Xinying Song; Rabab K. Ward (IEEE ACM Trans. Audio Speech Lang. Process., 2016)

Excess-Risk of Distributed Stochastic Learners. - Zaid J. Towfic; Jianshu Chen; Ali H. Sayed (IEEE Trans. Inf. Theory, 2016)

Character-level deep conflation for business data analytics. - Zhe Gan; P. D. Singh; Ameet Joshi; Xiaodong He 001; Jianshu Chen; Jianfeng Gao 001; Li Deng 001 (ICASSP, 2017)

Stochastic Variance Reduction Methods for Policy Evaluation. - Simon S. Du; Jianshu Chen; Lihong Li 001; Lin Xiao; Dengyong Zhou (ICML, 2017)

Q-LDA: Uncovering Latent Patterns in Text-based Sequential Decision Processes. - Jianshu Chen; Chong Wang 002; Lin Xiao; Ji He; Lihong Li 001; Li Deng 001 (NIPS, 2017)

Unsupervised Sequence Classification using Sequential Output Statistics. - Yu Liu 061; Jianshu Chen; Li Deng 001 (NIPS, 2017)

CherryPick: Adaptively Unearthing the Best Cloud Configurations for Big Data Analytics. - Omid Alipourfard; Hongqiang Harry Liu; Jianshu Chen; Shivaram Venkataraman; Minlan Yu; Ming Zhang 005 (NSDI, 2017)

An Unsupervised Learning Method Exploiting Sequential Output Statistics. - Yu Liu 061; Jianshu Chen; Li Deng 001 (CoRR, 2017)

A Learning-to-Infer Method for Real-Time Power Grid Topology Identification. - Yue Zhao 007; Jianshu Chen; H. Vincent Poor (CoRR, 2017)

Smoothed Dual Embedding Control. - Bo Dai 001; Albert E. Shaw; Lihong Li 001; Lin Xiao; Niao He; Jianshu Chen; Le Song (CoRR, 2017)

Learning to Infer Power Grid Topologies: Performance and Scalability. - Yue Zhao 007; Jianshu Chen; H. Vincent Poor (DSW, 2018)

XL-NBT: A Cross-lingual Neural Belief Tracking Framework. - Wenhu Chen; Jianshu Chen; Yu Su 001; Xin Wang 061; Dong Yu 001; Xifeng Yan; William Yang Wang (EMNLP, 2018)

ReinforceWalk: Learning to Walk in Graph with Monte Carlo Tree Search. - Yelong Shen; Jianshu Chen; Po-Sen Huang; Yuqing Guo; Jianfeng Gao 001 (ICLR (Workshop), 2018)

SBEED: Convergent Reinforcement Learning with Nonlinear Function Approximation. - Bo Dai 001; Albert E. Shaw; Lihong Li 001; Lin Xiao; Niao He; Zhen Liu 019; Jianshu Chen; Le Song (ICML, 2018)

Coupled Variational Bayes via Optimization Embedding. - Bo Dai 001; Hanjun Dai; Niao He; Weiyang Liu; Zhen Liu 019; Jianshu Chen; Lin Xiao; Le Song (NeurIPS, 2018)

M-Walk: Learning to Walk over Graphs using Monte Carlo Tree Search. - Yelong Shen; Jianshu Chen; Po-Sen Huang; Yuqing Guo; Jianfeng Gao 001 (NeurIPS, 2018)

P-MCGS: Parallel Monte Carlo Acyclic Graph Search. - Chen Yu 009; Jianshu Chen; Jie Zhong; Ji Liu 002 (CoRR, 2018)

Design and Analysis of an Interactive MOOC Teaching System Based on Virtual Reality. - Yongfei Zhang; Jianshu Chen; Dan Miao; Chen Zhang (Int. J. Emerg. Technol. Learn., 2018)

Incorporating Structured Commonsense Knowledge in Story Completion. - Jiaao Chen; Jianshu Chen; Zhou Yu (AAAI, 2019)

Improving Question Answering with External Knowledge. - Xiaoman Pan; Kai Sun 006; Dian Yu 001; Jianshu Chen; Heng Ji 001; Claire Cardie; Dong Yu 001 (MRQA@EMNLP, 2019)

Semantically Conditioned Dialog Response Generation via Hierarchical Disentangled Self-Attention. - Wenhu Chen; Jianshu Chen; Pengda Qin; Xifeng Yan; William Yang Wang (ACL (1), 2019)

Learning to Recover Sparse Signals. - Sichen Zhong; Yue Zhao 007; Jianshu Chen (Allerton, 2019)

Improving Pre-Trained Multilingual Model with Vocabulary Expansion. - Hai Wang 013; Dian Yu 001; Kai Sun 006; Jianshu Chen; Dong Yu 001 (CoNLL, 2019)

Evidence Sentence Extraction for Machine Reading Comprehension. - Hai Wang 013; Dian Yu 001; Kai Sun 006; Jianshu Chen; Dong Yu 001; David A. McAllester; Dan Roth 001 (CoNLL, 2019)

Unsupervised Speech Recognition via Segmental Empirical Output Distribution Matching. - Chih-Kuan Yeh; Jianshu Chen; Chengzhu Yu; Dong Yu 001 (ICLR (Poster), 2019)

Stochastic Variance Reduced Primal Dual Algorithms for Empirical Composition Optimization. - Adithya M. Devraj; Jianshu Chen (NeurIPS, 2019)

From Caesar Cipher to Unsupervised Learning: A New Method for Classifier Parameter Estimation. - Yu Liu 061; Li Deng 001; Jianshu Chen; Chang Wen Chen (CoRR, 2019)

Teaching Pretrained Models with Commonsense Reasoning: A Preliminary KB-Based Approach. - Shiyang Li; Jianshu Chen; Dian Yu 001 (CoRR, 2019)

Improving Pre-Trained Multilingual Models with Vocabulary Expansion. - Hai Wang 013; Dian Yu 001; Kai Sun 006; Jianshu Chen; Dong Yu 001 (CoRR, 2019)

DREAM: A Challenge Dataset and Models for Dialogue-Based Reading Comprehension. - Kai Sun 006; Dian Yu 001; Jianshu Chen; Dong Yu 001; Yejin Choi 001; Claire Cardie (Trans. Assoc. Comput. Linguistics, 2019)

Logical Natural Language Generation from Open-Domain Tables. - Wenhu Chen; Jianshu Chen; Yu Su 001; Zhiyu Chen 002; William Yang Wang (ACL, 2020)

Recurrent Chunking Mechanisms for Long-Text Machine Reading Comprehension. - Hongyu Gong; Yelong Shen; Dian Yu 001; Jianshu Chen; Dong Yu 001 (ACL, 2020)

ZPR2: Joint Zero Pronoun Recovery and Resolution using Multi-Task Learning and BERT. - Linfeng Song; Kun Xu 005; Yue Zhang 004; Jianshu Chen; Dong Yu 001 (ACL, 2020)

Comprehensive Image Captioning via Scene Graph Decomposition. - Yiwu Zhong; Liwei Wang 009; Jianshu Chen; Dong Yu 001; Yin Li 003 (ECCV (14), 2020)

TabFact: A Large-scale Dataset for Table-based Fact Verification. - Wenhu Chen; Hongmin Wang; Jianshu Chen; Yunkai Zhang 002; Hong Wang 023; Shiyang Li; Xiyou Zhou; William Yang Wang (ICLR, 2020)

Watch the Unobserved: A Simple Approach to Parallelizing Monte Carlo Tree Search. - Anji Liu; Jianshu Chen; Mingze Yu; Yu Zhai; Xuewen Zhou; Ji Liu (ICLR, 2020)

On Effective Parallelization of Monte Carlo Tree Search. - Anji Liu; Yitao Liang; Ji Liu; Guy Van den Broeck; Jianshu Chen (CoRR, 2020)

A Learning-to-Infer Method for Real-Time Power Grid Multi-Line Outage Identification. - Yue Zhao 007; Jianshu Chen; H. Vincent Poor (IEEE Trans. Smart Grid, 2020)

DeepPursuit: Uniting Classical Wisdom and Deep RL for Sparse Recovery. - Ziheng Chen 002; Sichen Zhong; Jianshu Chen; Yue Zhao 007 (ACSCC, 2021)

Connect-the-Dots: Bridging Semantics between Words and Definitions via Aligning Word Sense Inventories. - Wenlin Yao; Xiaoman Pan; Lifeng Jin; Jianshu Chen; Dian Yu 001; Dong Yu 001 (EMNLP (1), 2021)

Improving Machine Reading Comprehension with Contextualized Commonsense Knowledge. - Kai Sun 006; Dian Yu 001; Jianshu Chen; Dong Yu 001; Claire Cardie (ACL (1), 2022)

C-MORE: Pretraining to Answer Open-Domain Questions by Consulting Millions of References. - Xiang Yue; Xiaoman Pan; Wenlin Yao; Dian Yu 001; Dong Yu 001; Jianshu Chen (ACL (2), 2022)

Learning-by-Narrating: Narrative Pre-Training for Zero-Shot Dialogue Comprehension. - Chao Zhao 002; Wenlin Yao; Dian Yu 001; Kaiqiang Song; Dong Yu 001; Jianshu Chen (ACL (2), 2022)

Z-LaVI: Zero-Shot Language Solver Fueled by Visual Imagination. - Yue Yang; Wenlin Yao; Hongming Zhang 009; Xiaoyang Wang; Dong Yu 001; Jianshu Chen (EMNLP, 2022)

ZeroKBC: A Comprehensive Benchmark for Zero-Shot Knowledge Base Completion. - Pei Chen; Wenlin Yao; Hongming Zhang 009; Xiaoman Pan; Dian Yu 001; Dong Yu 001; Jianshu Chen (ICDM (Workshops), 2022)

Join-Chain Network: A Logical Reasoning View of the Multi-head Attention in Transformer. - Jianyi Zhang; Yiran Chen 001; Jianshu Chen (ICDM (Workshops), 2022)

PRIMA: Planner-Reasoner Inside a Multi-task Reasoning Agent - Daoming Lyu; Bo Liu 006; Jianshu Chen (CoRR, 2022)

Explanations from Large Language Models Make Small Reasoners Better. - Shiyang Li; Jianshu Chen; Yelong Shen; Zhiyu Chen 002; Xinlu Zhang; Zekun Li 008; Hong Wang 023; Jing Qian; Baolin Peng; Yi Mao; Wenhu Chen; Xifeng Yan (CoRR, 2022)

Zemi: Learning Zero-Shot Semi-Parametric Language Models from Multiple Tasks. - Zhenhailong Wang; Xiaoman Pan; Dian Yu 001; Dong Yu 001; Jianshu Chen; Heng Ji 001 (ACL (Findings), 2023)

Blessing of Class Diversity in Pre-training. - Yulai Zhao 002; Jianshu Chen; Simon S. Du (AISTATS, 2023)

How do Words Contribute to Sentence Semantics? Revisiting Sentence Embeddings with a Perturbation Method. - Wenlin Yao; Lifeng Jin; Hongming Zhang 009; Xiaoman Pan; Kaiqiang Song; Dian Yu 001; Dong Yu 001; Jianshu Chen (EACL, 2023)

PIVOINE: Instruction Tuning for Open-world Entity Profiling. - Keming Lu; Xiaoman Pan; Kaiqiang Song; Hongming Zhang 009; Dong Yu 001; Jianshu Chen (EMNLP (Findings), 2023)

Learning Language Representations with Logical Inductive Bias. - Jianshu Chen (ICLR, 2023)

Knowledge-in-Context: Towards Knowledgeable Semi-Parametric Language Models. - Xiaoman Pan; Wenlin Yao; Hongming Zhang 009; Dian Yu 001; Dong Yu 001; Jianshu Chen (ICLR, 2023)

Thrust: Adaptively Propels Large Language Models with External Knowledge. - Xinran Zhao; Hongming Zhang 009; Xiaoman Pan; Wenlin Yao; Dong Yu 001; Jianshu Chen (NeurIPS, 2023)

PIVOINE: Instruction Tuning for Open-world Information Extraction. - Keming Lu; Xiaoman Pan; Kaiqiang Song; Hongming Zhang 009; Dong Yu 001; Jianshu Chen (CoRR, 2023)

A Stitch in Time Saves Nine: Detecting and Mitigating Hallucinations of LLMs by Validating Low-Confidence Generation. - Neeraj Varshney; Wenlin Yao; Hongming Zhang 009; Jianshu Chen; Dong Yu 001 (CoRR, 2023)

Skills-in-Context Prompting: Unlocking Compositionality in Large Language Models. - Jiaao Chen; Xiaoman Pan; Dian Yu 001; Kaiqiang Song; Xiaoyang Wang; Dong Yu 001; Jianshu Chen (CoRR, 2023)

Fact-and-Reflection (FaR) Improves Confidence Calibration of Large Language Models. - Xinran Zhao; Hongming Zhang 009; Xiaoman Pan; Wenlin Yao; Dong Yu 001; Tongshuang Wu; Jianshu Chen (ACL (Findings), 2024)

CEO: Corpus-based Open-Domain Event Ontology Induction. - Nan Xu; Hongming Zhang 009; Jianshu Chen (EACL (Findings), 2024)

Skills-in-Context: Unlocking Compositionality in Large Language Models. - Jiaao Chen; Xiaoman Pan; Dian Yu 001; Kaiqiang Song; Xiaoyang Wang; Dong Yu 001; Jianshu Chen (EMNLP (Findings), 2024)

Rewards-in-Context: Multi-objective Alignment of Foundation Models with Dynamic Preference Adjustment. - Rui Yang 010; Xiaoman Pan; Feng Luo; Shuang Qiu; Han Zhong 001; Dong Yu 001; Jianshu Chen (ICML, 2024)

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 001 (NAACL-HLT, 2024)

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 001 (NAACL-HLT, 2024)

RNR: Teaching Large Language Models to Follow Roles and Rules. - Kuan Wang; Alexander Bukharin; Haoming Jiang; Qingyu Yin; Zhengyang Wang; Tuo Zhao; Jingbo Shang; Chao Zhang 014; Bing Yin; Xian Li; Jianshu Chen; Shiyang Li (CoRR, 2024)

Reproducibility assessment of magnetic resonance spectroscopy of pregenual anterior cingulate cortex across sessions and vendors via the cloud computing platform CloudBrain-MRS. - Runhan Chen; Meijin Lin; Jianshu Chen; Liangjie Lin; Jiazheng Wang; Xiaoqing Li; Jianhua Wang; Xu Huang; Ling Qian; Shaoxing Liu; Yuan Long; Di Guo; et al. (NeuroImage, 2025)

Towards Improving Interpretability of Language Model Generation Through a Structured Knowledge Discovery Approach. - Shuqi Liu 001; Han Wu 004; Guanzhi Deng; Jianshu Chen; Xiaoyang Wang; Linqi Song (IEEE J. Sel. Top. Signal Process., 2025)

An artificially intelligent magnetic resonance spectroscopy quantification method: Comparison between QNet and LCModel on the cloud computing platform CloudBrain-MRS. - Meijin Lin; Lin Guo; Dicheng Chen; Jianshu Chen; Zhangren Tu; Xu Huang; Jianhua Wang; Ji Qi; Yuan Long; Zhiguo Huang; Di Guo; Xiaobo Qu 001; et al. (CoRR, 2025)