| 2026 | ACL | Towards Self-Improving Error Diagnosis in Multi-Agent Systems. | Jiazheng Li, Emine Yilmaz, Bei Chen, Thu Le |
| 2025 | ACL | ProBench: Judging Multimodal Foundation Models on Open-ended Multi-domain Expert Tasks. | Yan Yang, Dongxu Li, Haoning Wu, Bei Chen, Liu Liu, Liyuan Pan, Junnan Li |
| 2025 | ACL | Aria-UI: Visual Grounding for GUI Instructions. | Yuhao Yang, Yue Wang, Dongxu Li, Ziyang Luo, Bei Chen, Chao Huang, Junnan Li |
| 2025 | ACL | Generative Frame Sampler for Long Video Understanding. | Linli Yao, Haoning Wu, Kun Ouyang, Yuanxing Zhang, Caiming Xiong, Bei Chen, Xu Sun, Junnan Li |
| 2025 | INFOCOM | Point-Cloud Transmission Oriented 3D Semantic Communication for Accurate Scene Generation-Enabled Digital Twin. | Rui Xu, Yuanhang He, Bei Chen, Wenkai Huang, Boyu Han, Jianhua Li |
| 2024 | EMNLP | Efficient Performance Tracking: Leveraging Large Language Models for Automated Construction of Scientific Leaderboards. | Furkan Sahinu, Thy Thy Tran, Yulia Grishina, Yufang Hou, Bei Chen, Iryna Gurevych |
| 2023 | ACL | How Do In-Context Examples Affect Compositional Generalization? | Shengnan An, Zeqi Lin, Qiang Fu, Bei Chen, Nanning Zheng, Jian-Guang Lou, Dongmei Zhang |
| 2023 | ACL | Reducing cohort bias in natural language understanding systems with targeted self-training scheme. | Dieu-Thu Le, Gabriela Hernndez, Bei Chen, Melanie Bradford |
| 2023 | ACL | Making Language Models Better Reasoners with Step-Aware Verifier. | Yifei Li, Zeqi Lin, Shizhuo Zhang, Qiang Fu, Bei Chen, Jian-Guang Lou, Weizhu Chen |
| 2023 | ACL | Large Language Models Meet NL2Code: A Survey. | Daoguang Zan, Bei Chen, Fengji Zhang, Dianjie Lu, Bingchao Wu, Bei Guan, Yongji Wang, Jian-Guang Lou |
| 2023 | EMNLP | Skill-Based Few-Shot Selection for In-Context Learning. | Shengnan An, Bo Zhou, Zeqi Lin, Qiang Fu, Bei Chen, Nanning Zheng, Weizhu Chen, Jian-Guang Lou |
| 2023 | EMNLP | RepoCoder: Repository-Level Code Completion Through Iterative Retrieval and Generation. | Fengji Zhang, Bei Chen, Yue Zhang, Jacky Keung, Jin Liu, Daoguang Zan, Yi Mao, Jian-Guang Lou, Weizhu Chen |
| 2023 | EMNLP | Question Answering as Programming for Solving Time-Sensitive Questions. | Xinyu Zhu, Cheng Yang, Bei Chen, Siheng Li, Jian-Guang Lou, Yujiu Yang |
| 2023 | HPCC | PBE-Plan: Periodic Backdoor Erasing Plan for Trustworthy Federated Learning. | Bei Chen, Gaolei Li, Mingzhe Chen, Yuchen Liu, Xiaoyu Yi, Jianhua Li |
| 2023 | ICLR | Does Deep Learning Learn to Abstract? A Systematic Probing Framework. | Shengnan An, Zeqi Lin, Bei Chen, Qiang Fu, Nanning Zheng, Jian-Guang Lou |
| 2023 | ICLR | CodeT: Code Generation with Generated Tests. | Bei Chen, Fengji Zhang, Anh Nguyen, Daoguang Zan, Zeqi Lin, Jian-Guang Lou, Weizhu Chen |
| 2022 | ACL | Multi-task Learning for Paraphrase Generation With Keyword and Part-of-Speech Reconstruction. | Xuhang Xie, Xuesong Lu, Bei Chen |
| 2022 | EMNLP | LEMON: Language-Based Environment Manipulation via Execution-Guided Pre-training. | Qi Shi, Qian Liu, Bei Chen, Yu Zhang, Ting Liu, Jian-Guang Lou |
| 2022 | EMNLP | AdapterShare: Task Correlation Modeling with Adapter Differentiation. | Zhi Chen, Bei Chen, Lu Chen, Kai Yu, Jian-Guang Lou |
| 2022 | EMNLP | Reasoning Like Program Executors. | Xinyu Pi, Qian Liu, Bei Chen, Morteza Ziyadi, Zeqi Lin, Qiang Fu, Yan Gao, Jian-Guang Lou, Weizhu Chen |
| 2022 | EMNLP | Unsupervised training data re-weighting for natural language understanding with local distribution approximation. | Jose Garrido Ramas, Dieu-Thu Le, Bei Chen, Manoj Kumar, Kay Rottmann |
| 2022 | EMNLP | When Language Model Meets Private Library. | Daoguang Zan, Bei Chen, Zeqi Lin, Bei Guan, Yongji Wang, Jian-Guang Lou |
| 2022 | ICLR | TAPEX: Table Pre-training via Learning a Neural SQL Executor. | Qian Liu, Bei Chen, Jiaqi Guo, Morteza Ziyadi, Zeqi Lin, Weizhu Chen, Jian-Guang Lou |
| 2022 | ICPR | Online Adaptive Metrics for Model Evaluation on Non-representative Offline Test Data. | Enrico Piovano, Dieu-Thu Le, Bei Chen, Melanie Bradford |
| 2022 | IJCAI | CERT: Continual Pre-training on Sketches for Library-oriented Code Generation. | Daoguang Zan, Bei Chen, Dejian Yang, Zeqi Lin, Minsu Kim, Bei Guan, Yongji Wang, Weizhu Chen, Jian-Guang Lou |
| 2022 | SIGdial | UniDU: Towards A Unified Generative Dialogue Understanding Framework. | Zhi Chen, Lu Chen, Bei Chen, Libo Qin, Yuncong Liu, Su Zhu, Jian-Guang Lou, Kai Yu |
| 2021 | AAAI | Revisiting Iterative Back-Translation from the Perspective of Compositional Generalization. | Yinuo Guo, Hualei Zhu, Zeqi Lin, Bei Chen, Jian-Guang Lou, Dongmei Zhang |
| 2021 | ACL | Learning Algebraic Recombination for Compositional Generalization. | Chenyao Liu, Shengnan An, Zeqi Lin, Qian Liu, Bei Chen, Jian-Guang Lou, Lijie Wen, Nanning Zheng, Dongmei Zhang |
| 2021 | IJCAI | Keep the Structure: A Latent Shift-Reduce Parser for Semantic Parsing. | Yuntao Li, Bei Chen, Qian Liu, Yan Gao, Jian-Guang Lou, Yan Zhang, Dongmei Zhang |
| 2021 | IPEC | Analysis on the Influencing Factors of Digital Economy Development in Chinese Cities. | Bei Chen |
| 2021 | SIGMOD | AutoAI-TS: AutoAI for Time Series Forecasting. | Syed Yousaf Shah, Dhaval Patel, Long Vu, Xuan-Hong Dang, Bei Chen, Peter Kirchner, Horst Samulowitz, David Wood, Gregory Bramble, Wesley M. Gifford, Giridhar Ganapavarapu, Roman Vaculn, Petros Zerfos |
| 2020 | ACL | You Impress Me: Dialogue Generation via Mutual Persona Perception. | Qian Liu, Yihong Chen, Bei Chen, Jian-Guang Lou, Zixuan Chen, Bin Zhou, Dongmei Zhang |
| 2020 | EMNLP | "What Do You Mean by That?" A Parser-Independent Interactive Approach for Enhancing Text-to-SQL. | Yuntao Li, Bei Chen, Qian Liu, Yan Gao, Jian-Guang Lou, Yan Zhang, Dongmei Zhang |
| 2020 | EMNLP | Incomplete Utterance Rewriting as Semantic Segmentation. | Qian Liu, Bei Chen, Jian-Guang Lou, Bin Zhou, Dongmei Zhang |
| 2020 | IJCAI | A Spatial Missing Value Imputation Method for Multi-view Urban Statistical Data. | Yongshun Gong, Zhibin Li, Jian Zhang, Wei Liu, Bei Chen, Xiangjun Dong |
| 2020 | IJCAI | How Far are We from Effective Context Modeling? An Exploratory Study on Semantic Parsing in Context. | Qian Liu, Bei Chen, Jiaqi Guo, Jian-Guang Lou, Bin Zhou, Dongmei Zhang |
| 2020 | IJCAI | RECPARSER: A Recursive Semantic Parsing Framework for Text-to-SQL Task. | Yu Zeng, Yan Gao, Jiaqi Guo, Bei Chen, Qian Liu, Jian-Guang Lou, Fei Teng, Dongmei Zhang |
| 2019 | AAAI | FANDA: A Novel Approach to Perform Follow-Up Query Analysis. | Qian Liu, Bei Chen, Jian-Guang Lou, Ge Jin, Dongmei Zhang |
| 2019 | EMNLP | A Split-and-Recombine Approach for Follow-up Query Analysis. | Qian Liu, Bei Chen, Haoyan Liu, Jian-Guang Lou, Lei Fang, Bin Zhou, Dongmei Zhang |
| 2019 | EMNLP | Leveraging Adjective-Noun Phrasing Knowledge for Comparison Relation Prediction in Text-to-SQL. | Haoyan Liu, Lei Fang, Qian Liu, Bei Chen, Jian-Guang Lou, Zhoujun Li |
| 2019 | ICDM | RSM: An Explainable Predictive Sales Route Selector. | Bei Chen, Rahul Nair, Inge Vejsbjerg |
| 2019 | ICTAI | ECPNet: An Efficient Attention-Based Convolution Network with Pseudo-3D Block for Human Action Recognition. | Xiuping Bao, Jiabin Yuan, Bei Chen |
| 2019 | ICTAI | Automatic 2D-to-3D Video Conversion using 3D Densely Connected Convolutional Networks. | Bei Chen, Jiabin Yuan, Xiuping Bao |
| 2019 | KDD | λOpt: Learn to Regularize Recommender Models in Finer Levels. | Yihong Chen, Bei Chen, Xiangnan He, Chen Gao, Yong Li, Jian-Guang Lou, Yue Wang |
| 2018 | ICDM | Castor: Contextual IoT Time Series Data and Model Management at Scale. | Bei Chen, Bradley Eck, Francesco Fusco, Robert Gormally, Mark Purcell, Mathieu Sinn, Seshu Tirupathi |
| 2018 | KDD | Learning-to-Ask: Knowledge Acquisition via 20 Questions. | Yihong Chen, Bei Chen, Xuguang Duan, Jian-Guang Lou, Yue Wang, Wenwu Zhu, Yong Cao |
| 2016 | AAAI | Discriminative Nonparametric Latent Feature Relational Models with Data Augmentation. | Bei Chen, Ning Chen, Jun Zhu, Jiaming Song, Bo Zhang |
| 2016 | AAAI | Jointly Modeling Topics and Intents with Global Order Structure. | Bei Chen, Jun Zhu, Nan Yang, Tian Tian, Ming Zhou, Bo Zhang |
| 2016 | EDBT | Data Management System for Energy Analytics and its Application to Forecasting. | Francesco Fusco, Ulrike Fischer, Vincent P. A. Lonij, Pascal Pompey, Jean-Baptiste Fiot, Bei Chen, Yiannis Gkoufas, Mathieu Sinn |
| 2015 | AAAI | Forecasting Uncertainty in Electricity Demand. | Tri Kurniawan Wijaya, Mathieu Sinn, Bei Chen |
| 2015 | IECON | Understanding building operation from semantic context. | Anika Schumann, Joern Ploennigs, Bei Chen |
| 2014 | ICDM | e2-Diagnoser: A System for Monitoring, Forecasting and Diagnosing Energy Usage. | Joern Ploennigs, Bei Chen, Paulito Palmes, Raymond Lloyd |
| 2014 | ICPR | Statistical Anomaly Detection in Mean and Variation of Energy Consumption. | Bei Chen, Mathieu Sinn, Joern Ploennigs, Anika Schumann |
| 2013 | AISTATS | Central Limit Theorems for Conditional Markov Chains. | Mathieu Sinn, Bei Chen |
| 2013 | SENSYS | Fusing Traffic Sensor Data for Real-time Road Conditions. | Eric Bouillet, Bei Chen, Chris Cooper, Dominik Dahlem, Olivier Verscheure |
| 2013 | SENSYS | Exploiting Generalized Additive Models for Diagnosing Abnormal Energy Use in Buildings. | Joern Ploennigs, Bei Chen, Anika Schumann, Niall Brady |
| 2012 | ICARCV | Sliding mode control for networked systems with Markovian jumping parameters. | Bei Chen, Yugang Niu, Yuanyuan Zou |