| 2026 | AAAI | Identifying and Analyzing Performance-Critical Tokens in Large Language Models. | Yu Bai, Heyan Huang, Cesare Spinoso Di Piano, Sanxing Chen, Marc-Antoine Rondeau, Yang Gao, Jackie Chi Kit Cheung |
| 2026 | ACL | EduBench: A Comprehensive Benchmarking Dataset for Evaluating Large Language Models in Diverse Educational Scenarios. | Bin Xu, Yu Bai, Huashan Sun, Yiguan Lin, Siming Liu, Xinyue Liang, Yaolin Li, Zhuangzhi Dong, Jingren Zhang, Yufan Deng, Xinyu Zou, Yang Gao, Heyan Huang |
| 2026 | ACL | Explain the Synth: Interpretable Evaluation of LLM Data Synthesis. | Yue Yang, Fan Yang, Yu Bai, Hao Wang |
| 2026 | EACL | MMRA: A Benchmark for Evaluating Multi-Granularity and Multi-Image Relational Association Capabilities in Large Visual Language Models. | Siwei Wu, King Zhu, Yu Bai, Yiming Liang, Yizhi Li, Haoning Wu, Jiaheng Liu, Ruibo Liu, Xingwei Qu, Xuxin Cheng, Ge Zhang, Wenhao Huang, Chenghua Lin |
| 2025 | AAAI | Text2Data: Low-Resource Data Generation with Textual Control. | Shiyu Wang, Yihao Feng, Tian Lan, Ning Yu, Yu Bai, Ran Xu, Huan Wang, Caiming Xiong, Silvio Savarese |
| 2025 | AAAI | Excluding the Impossible for Open Vocabulary Semantic Segmentation. | Shiyuan Zhao, Baodi Liu, Yu Bai, Weifeng Liu, Shuai Shao |
| 2025 | APWEB | Interactive Visual Cue Refinement for Multi-modal Named Entity Recognition. | Yu Bai, Lianji Wang, Xiang Liu, Guiping Zhang |
| 2025 | COLING | Reasoning Knowledge Filter for Logical Table-to-Text Generation. | Yu Bai, Baoqiang Liu, Shuang Xue, Fang Cai, Na Ye, Guiping Zhang |
| 2025 | COLING | VCRMNER: Visual Cue Refinement in Multimodal NER using CLIP Prompts. | Yu Bai, Lianji Wang, Xiang Liu, Haifeng Chi, Guiping Zhang |
| 2025 | CVPR | TopV: Compatible Token Pruning with Inference Time Optimization for Fast and Low-Memory Multimodal Vision Language Model. | Cheng Yang, Yang Sui, Jinqi Xiao, Lingyi Huang, Yu Gong, Chendi Li, Jinghua Yan, Yu Bai, Ponnuswamy Sadayappan, Xia Hu, Bo Yuan |
| 2025 | HCI | Effects of Flight Experience, Power Distance and the Role in the Cockpit on Pilots' Situation Awareness. | Yu Bai, Shan Gao, Lei Wang |
| 2025 | ICNP | Towards Automatic Network Diagram Comprehension. | Yanyu Ren, Yukai Miao, Li Chen, Dan Li, Xizheng Wang, Yu Bai, Zhiyuan Wu, Fei Long |
| 2025 | IJCNN | LDLBPA:LLM-Driven Latent Behavior Patterns Augmentation for ID-based Recommendation. | Yu Bai, Yuanlai Wang, Jian Huang, Shuang Xue, Jinfu Yuan |
| 2025 | NSDI | Resolving Packets from Counters: Enabling Multi-scale Network Traffic Super Resolution via Composable Large Traffic Model. | Xizheng Wang, Libin Liu, Li Chen, Dan Li, Yukai Miao, Yu Bai |
| 2025 | PRICAI | LID-Drug: A Localized Interactive Domain-Aggregated (LID) Framework for Protein Drug Editing. | Mingshuo Liu, Yunduan Lou, Shiyi Luo, Yifeng Yu, Shangping Ren, Yu Bai |
| 2025 | SP | The Digital Cybersecurity Expert: How Far Have We Come? | Dawei Wang, Geng Zhou, Xianglong Li, Yu Bai, Li Chen, Ting Qin, Jian Sun, Dan Li |
| 2024 | AAAI | Collaborative Consortium of Foundation Models for Open-World Few-Shot Learning. | Shuai Shao, Yu Bai, Yan Wang, Baodi Liu, Bin Liu |
| 2024 | ACL | Fundamental Capabilities of Large Language Models and their Applications in Domain Scenarios: A Survey. | Jiawei Li, Yizhe Yang, Yu Bai, Xiaofeng Zhou, Yinghao Li, Huashan Sun, Yuhang Liu, Xingpeng Si, Yuhao Ye, Yixiao Wu, Yiguan Lin, Bin Xu, Ren Bowen, Chong Feng, Yang Gao, Heyan Huang |
| 2024 | CoDIT | Streamlined Video Object Detection with YOLOX YOLOV5 YOLOV7 and YOLOV8. | Seena Mohajeran, Hannah Ke, Jenna Ke, Michelle Li, Yu Bai, Macy Li |
| 2024 | CVPR | DeIL: Direct-and-Inverse CLIP for Open-World Few-Shot Learning. | Shuai Shao, Yu Bai, Yan Wang, Baodi Liu, Yicong Zhou |
| 2024 | DSAA | Deep Learning-Based Prediction of Driver Genes in Non-Small Cell Lung Cancer. | Yu Bai, Songyan Han, Qin Wei, Haisheng Hui, Guohao Feng, Yongqiang Cheng, Jianxia Liu |
| 2024 | DSAA | Predicting the Survival Period of Non-Small Cell Lung Cancer Based on Deep Learning. | Guohao Feng, Songyan Han, Qin Wei, Haisheng Hui, Yu Bai, Yongqiang Cheng, Jianxia Liu |
| 2024 | ECCV | Norma: A Noise Robust Memory-Augmented Framework for Whole Slide Image Classification. | Yu Bai, Bo Zhang, Zheng Zhang, Shuo Yan, Zibo Ma, Wu Liu, Xiuzhuang Zhou, Xiangyang Gong, Wendong Wang |
| 2024 | EMNLP | CItruS: Chunked Instruction-aware State Eviction for Long Sequence Modeling. | Yu Bai, Xiyuan Zou, Heyan Huang, Sanxing Chen, Marc-Antoine Rondeau, Yang Gao, Jackie C. K. Cheung |
| 2024 | EMNLP | How Far Can In-Context Alignment Go? Exploring the State of In-Context Alignment. | Heyan Huang, Yinghao Li, Huashan Sun, Yu Bai, Yang Gao |
| 2024 | HCI | An Analysis of Pilot's Eye Movement Metrics in Simulated Flight Scenarios. | Shan Gao, Yu Bai, Yuanyuan Xian, Lei Wang |
| 2024 | ICCE | Optimizing Causal Inference Approach for Exploring Shallow Reading Behavior with Generative Adversarial Networks. | Yu Bai, Fuzheng Zhao, Wenhao Wang, Chengjiu Yin |
| 2024 | ICLR | How Do Transformers Learn In-Context Beyond Simple Functions? A Case Study on Learning with Representations. | Tianyu Guo, Wei Hu, Song Mei, Huan Wang, Caiming Xiong, Silvio Savarese, Yu Bai |
| 2024 | ICLR | Sample-Efficient Learning of POMDPs with Multiple Observations In Hindsight. | Jiacheng Guo, Minshuo Chen, Huan Wang, Caiming Xiong, Mengdi Wang, Yu Bai |
| 2024 | ICLR | Transformers as Decision Makers: Provable In-Context Reinforcement Learning via Supervised Pretraining. | Licong Lin, Yu Bai, Song Mei |
| 2024 | ICML | Is Inverse Reinforcement Learning Harder than Standard Reinforcement Learning? A Theoretical Perspective. | Lei Zhao, Mengdi Wang, Yu Bai |
| 2024 | IJCNN | Reasoning Knowledge Transfer for Logical Table-to-Text Generation. | Baoqiang Liu, Yu Bai, Fang Cai, Shuang Xue, Na Ye, Xinyuan Ye |
| 2024 | SMC | A Semantic Verifier for Optimizing Small-Scale Large Language Models on Reasoning Tasks. | Yu Bai, Jun Li, Fang Cai, Yuting Liu |
| 2023 | COLT | Breaking the Curse of Multiagency: Provably Efficient Decentralized Multi-Agent RL with Function Approximation. | Yuanhao Wang, Qinghua Liu, Yu Bai, Chi Jin |
| 2023 | ICASSP | Fine-Grained Blind Face Inpainting with 3D Face Component Disentanglement. | Yu Bai, Ruian He, Weimin Tan, Bo Yan, Yangle Lin |
| 2023 | ICLR | Learning Rationalizable Equilibria in Multiplayer Games. | Yuanhao Wang, Dingwen Kong, Yu Bai, Chi Jin |
| 2023 | ICLR | Partially Observable RL with B-Stability: Unified Structural Condition and Sharp Sample-Efficient Algorithms. | Fan Chen, Yu Bai, Song Mei |
| 2023 | ICLR | The Role of Coverage in Online Reinforcement Learning. | Tengyang Xie, Dylan J. Foster, Yu Bai, Nan Jiang, Sham M. Kakade |
| 2023 | ICML | Improved Online Conformal Prediction via Strongly Adaptive Online Learning. | Aadyot Bhatnagar, Huan Wang, Caiming Xiong, Yu Bai |
| 2023 | ICML | Lower Bounds for Learning in Revealing POMDPs. | Fan Chen, Huan Wang, Caiming Xiong, Song Mei, Yu Bai |
| 2023 | ICML | Offline Learning in Markov Games with General Function Approximation. | Yuheng Zhang, Yu Bai, Nan Jiang |
| 2023 | Interspeech | An ASR-enabled Reading Tutor: Investigating Feedback to Optimize Interaction for Learning to Read. | Yu Bai, Ferdy Hubers, Catia Cucchiarini, Roeland van Hout, Helmer Strik |
| 2022 | COLING | PSP: Pre-trained Soft Prompts for Few-Shot Abstractive Summarization. | Xiaochen Liu, Yang Gao, Yu Bai, Jiawei Li, Yinan Hu, Heyan Huang, Boxing Chen |
| 2022 | EMNLP | Conformal Predictor for Improving Zero-Shot Text Classification Efficiency. | Prafulla Kumar Choubey, Yu Bai, Chien-Sheng Wu, Wenhao Liu, Nazneen Rajani |
| 2022 | ICLR | Efficient and Differentiable Conformal Prediction with General Function Classes. | Yu Bai, Song Mei, Huan Wang, Yingbo Zhou, Caiming Xiong |
| 2022 | ICLR | When Can We Learn General-Sum Markov Games with a Large Number of Players Sample-Efficiently? | Ziang Song, Song Mei, Yu Bai |
| 2022 | ICML | Near-Optimal Learning of Extensive-Form Games with Imperfect Information. | Yu Bai, Chi Jin, Song Mei, Tiancheng Yu |
| 2022 | IJCAI | Stage-wise Stylistic Headline Generation: Style Generation and Summarized Content Insertion. | Jiaao Zhan, Yang Gao, Yu Bai, Qianhui Liu |
| 2022 | Interspeech | The Effects of Implicit and Explicit Feedback in an ASR-based Reading Tutor for Dutch First-graders. | Yu Bai, Ferdy Hubers, Catia Cucchiarini, Roeland van Hout, Helmer Strik |
| 2022 | ICSE | ReInstancer: Automatically Refactoring for Instanceof Pattern Matching. | Shuai Hong, Yang Zhang, Chaoshuai Li, Yu Bai |
| 2022 | SIGIR | Unifying Cross-lingual Summarization and Machine Translation with Compression Rate. | Yu Bai, Heyan Huang, Kai Fan, Yang Gao, Yiming Zhu, Jiaao Zhan, Zewen Chi, Boxing Chen |
| 2022 | UAI | Local calibration: metrics and recalibration. | Rachel Luo, Aadyot Bhatnagar, Yu Bai, Shengjia Zhao, Huan Wang, Caiming Xiong, Silvio Savarese, Stefano Ermon, Edward Schmerling, Marco Pavone |
| 2021 | AAAI | Exploring Explainable Selection to Control Abstractive Summarization. | Haonan Wang, Yang Gao, Yu Bai, Mirella Lapata, Heyan Huang |
| 2021 | ACL | Cross-Lingual Abstractive Summarization with Limited Parallel Resources. | Yu Bai, Yang Gao, Heyan Huang |
| 2021 | AISTATS | Near-Optimal Provable Uniform Convergence in Offline Policy Evaluation for Reinforcement Learning. | Ming Yin, Yu Bai, Yu-Xiang Wang |
| 2021 | BMVC | HAT-Net: A Hierarchical Transformer Graph Neural Network for Grading of Colorectal Cancer Histology Images. | Yihan Su, Yu Bai, Bo Zhang, Zheng Zhang, Wendong Wang |
| 2021 | COMPSAC | Synthesis of Heterogeneous Dataflow Models from Synchronous Specifications. | Omair Rafique, Yu Bai, Klaus Schneider, Guangxi Yan |
| 2021 | DATE | A Model-based Design Flow for Asynchronous Implementations from Synchronous Specifications. | Yu Bai, Omair Rafique, Klaus Schneider |
| 2021 | DSD | Efficient Implementation of Heterogeneous Dataflow Models using Synchronous IO Patterns. | Omair Rafique, Yu Bai, Klaus Schneider, Guangxi Yan |
| 2021 | ICML | How Important is the Train-Validation Split in Meta-Learning? | Yu Bai, Minshuo Chen, Pan Zhou, Tuo Zhao, Jason D. Lee, Sham M. Kakade, Huan Wang, Caiming Xiong |
| 2021 | ICML | Don't Just Blame Over-parametrization for Over-confidence: Theoretical Analysis of Calibration in Binary Classification. | Yu Bai, Song Mei, Huan Wang, Caiming Xiong |
| 2021 | ICML | A Sharp Analysis of Model-based Reinforcement Learning with Self-Play. | Qinghua Liu, Tiancheng Yu, Yu Bai, Chi Jin |
| 2021 | ICML | Exact Gap between Generalization Error and Uniform Convergence in Random Feature Models. | Zitong Yang, Yu Bai, Song Mei |
| 2021 | QRS | Research on Mining of Government Data Based on Enhanced-Object Exchange Model. | Keiin Sa, Yu Bai, Chenggang Wang |
| 2021 | SERVICES | A Blockchain-based Infrastructure for Distributed Internet of Services. | Yuxin Wang, Zhiying Tu, Yu Bai, Haochen Yuan, Xiaofei Xu, Zhongjie Wang |
| 2020 | ICLR | Beyond Linearization: On Quadratic and Higher-Order Approximation of Wide Neural Networks. | Yu Bai, Jason D. Lee |
| 2020 | ICML | Provable Self-Play Algorithms for Competitive Reinforcement Learning. | Yu Bai, Chi Jin |
| 2020 | Interspeech | ASR-Based Evaluation and Feedback for Individualized Reading Practice. | Yu Bai, Ferdy Hubers, Catia Cucchiarini, Helmer Strik |
| 2020 | IGARSS | Soil Moisture Estimation by Using Multi-Angular and Multi-Temporal Observations from SMOS. | Yu Bai, Li Jia, Tianjie Zhao, Jiancheng Shi |
| 2020 | SIGIR | Residual-Duet Network with Tree Dependency Representation for Chinese Question-Answering Sentiment Analysis. | Guangyi Hu, Chongyang Shi, Shufeng Hao, Yu Bai |
| 2019 | BMVC | Directed-Weighting Group Lasso For Eltwise Blocked CNN Pruning. | Ke Zhan, Shimiao Jiang, Yu Bai, Yi Li, Xu Liu, Zhuoran Xu |
| 2019 | ICA3PP | Cloud Server Load Turning Point Prediction Based on Feature Enhanced Multi-task LSTM. | Li Ruan, Yu Bai, Limin Xiao |
| 2019 | ICASSP | Compressing Deep Neural Networks Using Toeplitz Matrix: Algorithm Design and Fpga Implementation. | Siyu Liao, Ashkan Samiee, Chunhua Deng, Yu Bai, Bo Yuan |
| 2019 | ICLR | Subgradient Descent Learns Orthogonal Dictionaries. | Yu Bai, Qijia Jiang, Ju Sun |
| 2019 | ICLR | Approximability of Discriminators Implies Diversity in GANs. | Yu Bai, Tengyu Ma, Andrej Risteski |
| 2019 | ICLR | ProxQuant: Quantized Neural Networks via Proximal Operators. | Yu Bai, Yu-Xiang Wang, Edo Liberty |
| 2019 | IGARSS | Evaluation of SMAP L2/L3 Passive Soil Moisture Products using in-situ data from a dense observation network over Agricultural Area in Northeast China. | Xingming Zheng, Yu Bai, Tao Jiang, Xiaowei Zhao, Kai Zhao |
| 2019 | IGARSS | Temporal Stability of Ground Notched Images. | Mauro Mariotti d'Alessandro, Yu Bai, Stefano Tebaldini |
| 2018 | CogSci | Understanding the Rational Speech Act model. | Arianna Yuan, Will Monroe, Yu Bai, Nate Kushman |
| 2018 | IGARSS | Evaluation of Smap Passive Soil Moisture Products Using In-Situ Data from a Dense Observation Network. | Xingming Zheng, Yu Bai, Tao Jiang, Xiaowei Zhao, Jianwei Yang |
| 2018 | IGARSS | Analysis of P-Band Repeat-Pass SAR Tomography Under Changing Weather Conditions. | Yu Bai, Stefano Tebaldini, Dinh Ho Tong Minh, Wen Yang |
| 2018 | MEMOCODE | Desynchronization: From Macro-step to Micro-step. | Yu Bai |
| 2018 | Tencon | Small Signal Stability of UHVDC Hierarchical Connection to AC Grid. | Xiaohui Wang, Jianhua Yuan, Qingjun Chen, Yu Bai, Jinshan Luo, Yan Zhang |
| 2017 | DASFAA | Quantitative Analysis of Learning Data in a Programming Course. | Yu Bai, Liqian Chen, Gang Yin, Xinjun Mao, Ye Deng, Tao Wang, Yao Lu, Huaimin Wang |
| 2017 | DASFAA | Using Pull-Based Collaborative Development Model in Software Engineering Courses: A Case Study. | Yao Lu, Xinjun Mao, Gang Yin, Tao Wang, Yu Bai |
| 2017 | MICRO | CirCNN: accelerating and compressing deep neural networks using block-circulant weight matrices. | Caiwen Ding, Siyu Liao, Yanzhi Wang, Zhe Li, Ning Liu, Youwei Zhuo, Chao Wang, Xuehai Qian, Yu Bai, Geng Yuan, Xiaolong Ma, Yipeng Zhang, Jian Tang, Qinru Qiu, Xue Lin, Bo Yuan |
| 2017 | SmartComp | Stoop: Stochastically-Dominant Access Point Selection in Enterprise WLANs. | Yu Bai, Mehmet C. Vuran, Demet Batur, Steve Goddard |
| 2016 | FPGA | Stochastic-Based Spin-Programmable Gate Array with Emerging MTJ Device Technology (Abstract Only). | Yu Bai, Mingjie Lin |
| 2016 | IGARSS | Fusion of intensity/coherent information using region covariance features for unsupervised classification of SAR imagery. | Xiangli Yang, Shangtan Tu, Yu Bai, Wen Yang |
| 2016 | IJCNN | Evolutionary lazy learning for Naive Bayes classification. | Yu Bai, Haishuai Wang, Jia Wu, Yun Zhang, Jing Jiang, Guodong Long |
| 2016 | SNPD | Similarity model based on CBR and FCA. | Chongyang Shi, Linjing Lai, Jing Fan, Yu Bai |
| 2015 | FPGA | Energy-Efficient Discrete Signal Processing with Field Programmable Analog Arrays (FPAAs). | Yu Bai, Mingjie Lin |
| 2015 | IGARSS | A novel polarimetric-texture-structure descriptor for high-resolution PolSAR image classification. | Yu Bai, Wen Yang, Gui-Song Xia, Mingsheng Liao |
| 2014 | DATE | Isochronous networks by construction. | Yu Bai, Klaus Schneider |
| 2014 | FPGA | Energy-efficient multiplier-less discrete convolver through probabilistic domain transformation. | Mohammed Alawad, Yu Bai, Ronald F. DeMara, Mingjie Lin |
| 2014 | FPGA | Optimally mitigating BTI-induced FPGA device aging with discriminative voltage scaling (abstract only). | Yu Bai, Mohammed Alawad, Mingjie Lin |
| 2014 | IGARSS | Hierarchical segmentation of polarimetric SAR image via Non-Parametric Graph Entropy. | Yu Bai, Lixia Dong, Xiaojing Huang, Wen Yang, Mingsheng Liao |
| 2014 | MEMOCODE | From clock-driven to data-driven models. | Yu Bai, Klaus Schneider, Nikita Bhardwaj, Badarinath Katti, Tania Shazadi |
| 2014 | PDP | Reducing the Communication of Message-Passing Systems Synthesized from Synchronous Programs. | Daniel Baudisch, Yu Bai, Klaus Schneider |
| 2014 | TrustCom | Multi-dimensions of Developer Trustworthiness Assessment in OSS Community. | Yu Bai, Gang Yin, Huaimin Wang |
| 2013 | BigData | The Knowledge Service Project in the Era of Big Data. | Dongfeng Cai, Yu Bai, Guiping Zhang, Fang Cai |
| 2013 | FCCM | Boosting Memory Performance of Many-Core FPGA Device through Dynamic Precedence Graph. | Yu Bai, Abigail Fuentes-Rivera, Michael Riera, Mohammed Alawad, Mingjie Lin |
| 2013 | FPGA | Exploiting algorithmic-level memory parallelism in distributed logic-memory architecture through hardware-assisted dynamic graph (abstract only). | Yu Bai, Abigail Fuentes-Rivera, Mingjie Lin, Mike Riera |
| 2013 | VCIP | Measuring orderliness based on social force model in collective motions. | Yu Bai, Yi Xu, Xiaokang Yang, Qing Yan |
| 2012 | MEMOCODE | Preservation of LTL properties in desynchronized systems. | Yu Bai, Jens Brandt, Klaus Schneider |
| 2011 | DSD | Design of Asynchronous Circuits on FPGAs for Soft Error Tolerance. | Yu Bai, Weidong Kuang |
| 2011 | UIC | A Non-functional Property Based Service Selection and Service Verification Model. | Yu Bai, Yaoxue Zhang, Yuezhi Zhou, Laurence Tianruo Yang |
| 2011 | SCOPES | SMT-based optimization for synchronous programs. | Yu Bai, Jens Brandt, Klaus Schneider |
| 2010 | UIC | A Novel Framework for Service Description and Operations. | Yu Bai, Yaoxue Zhang, Yuezhi Zhou, Laurence Tianruo Yang, Linkai Weng, Hao Liu |
| 2009 | ICASSP | Memory characterization to analyze and predict multimedia performance and power in embedded systems. | Yu Bai, Priya Vaidya |
| 2007 | BIBE | Quantitative and Probabilistic Modeling in Pathway Logic. | Alessandro Abate, Yu Bai, Nathalie Sznajder, Carolyn L. Talcott, Ashish Tiwari |
| 2007 | ICASSP | Time Series Modeling Based Power and Performance Scaling Framework. | Moinul H. Khan, Yu Bai, Bin Xiao, Priya Vaidya |
| 2004 | ICCD | Reducing Issue Queue Power for Multimedia Applications using a Feedback Control Algorithm. | Yu Bai, R. Iris Bahar |
| 2004 | ICCS | Measuring Scorecard Performance. | Zheng Yang, Yue Wang, Yu Bai, Xin Zhang |