| 2026 | ACL | Infinity-Parser: Layout-Aware Reinforcement Learning with High-quality Document Parsing Dataset. | Baode Wang, Biao Wu, Weizhen Li, Meng Fang, Zuming Huang, Jun Huang, Yanjie Liang, Haozhe Wang, Ling Chen, Wei Chu, Yuan Qi |
| 2026 | ACL | Harnessing Negative Signals: Reinforcement Distillation from Teacher Data for LLM Reasoning. | Shuyao Xu, Cheng Peng, Jiangxuan Long, Weidi Xu, Wei Chu, Yuan Qi |
| 2026 | SIGIR | The Attention Market: Interpreting Online Fair Re-ranking as Manifold Optimization under Walrasian Equilibrium. | Chen Xu, Wei Chu, Wenyu Hu, Fengran Mo, Jun Xu, Maarten de Rijke |
| 2025 | ACL | To Code or not to Code? Adaptive Tool Integration for Math Language Models via Expectation-Maximization. | Haozhe Wang, Long Li, Chao Qu, Weidi Xu, Fengming Zhu, Wei Chu, Fangzhen Lin |
| 2025 | ACL | OpenCoder: The Open Cookbook for Top-Tier Code Large Language Models. | Siming Huang, Tianhao Cheng, Jason Klein Liu, Weidi Xu, Jiaran Hao, Liuyihan Song, Yang Xu, Jian Yang, Jiaheng Liu, Chenchen Zhang, Linzheng Chai, Ruifeng Yuan, Xianzhen Luo, Qiufeng Wang, YuanTao Fan, Qingfu Zhu, Zhaoxiang Zhang, Yang Gao, Jie Fu, Qian Liu, Houyi Li, Ge Zhang, Yuan Qi, Yinghui Xu, Wei Chu, Zili Wang |
| 2025 | EMNLP | Guess What I am Thinking: A Benchmark for Inner Thought Reasoning of Role-Playing Language Agents. | Rui Xu, Mingyu Wang, Xintao Wang, Dakuan Lu, Xiaoyu Tan, Wei Chu, Yinghui Xu |
| 2025 | ICASSP | CogniDual Framework: Self-Training Large Language Models within a Dual-System Theoretical Framework for Improving Cognitive Tasks. | Yongxin Deng, Xihe Qiu, Xiaoyu Tan, Chao Qu, Jing Pan, Yuan Cheng, Yinghui Xu, Wei Chu |
| 2025 | ICASSP | An Attentive Dual-Encoder Framework Leveraging Multimodal Visual and Semantic Information for Automatic OSAHS Diagnosis. | Yingchen Wei, Xihe Qiu, Xiaoyu Tan, Jingjing Huang, Wei Chu, Yinghui Xu, Yuan Qi |
| 2025 | KDD | Struct-X: Enhancing the Reasoning Capabilities of Large Language Models in Structured Data Scenarios. | Xiaoyu Tan, Haoyu Wang, Xihe Qiu, Leijun Cheng, Yuan Cheng, Wei Chu, Yinghui Xu, Yuan Qi |
| 2025 | MICCAI | Prolog-Driven Rule-Based Diagnostics with Large Language Models for Precise Clinical Decision Support. | Xiaoyu Tan, Bin Li, Weidi Xu, Chao Qu, Wei Chu, Yinghui Xu, Yuan Qi, Xihe Qiu |
| 2025 | WWW | Meta-Agent-Workflow: Streamlining Tool Usage in LLMs through Workflow Construction, Retrieval, and Refinement. | Xiaoyu Tan, Bin Li, Xihe Qiu, Chao Qu, Wei Chu, Yinghui Xu, Yuan Qi |
| 2024 | ECAI | Robust Deep Hawkes Process Under Label Noise of Both Event and Occurrence. | Xiaoyu Tan, Bin Li, Xihe Qiu, Jingjing Huang, Yinghui Xu, Wei Chu |
| 2024 | EDM | Integrating Attentional Factors and Spacing in Logistic Knowledge Tracing Models to Explore the Impact of Train-ing Sequences on Category Learning. | Meng Cao, Philip I. Pavlik Jr., Wei Chu, Liang Zhang |
| 2024 | EDM | Logistic Knowledge Tracing Tutorial: Practical Educational Applications. | Philip I. Pavlik Jr., Luke G. Eglington, Meng Cao, Wei Chu |
| 2024 | EMNLP | ULMR: Unlearning Large Language Models via Negative Response and Model Parameter Average. | Shaojie Shi, Xiaoyu Tan, Xihe Qiu, Chao Qu, Kexin Nie, Yuan Cheng, Wei Chu, Yinghui Xu, Yuan Qi |
| 2024 | ICLR | LogicMP: A Neuro-symbolic Approach for Encoding First-order Logic Constraints. | Weidi Xu, Jingwei Wang, Lele Xie, Jianshan He, Hongting Zhou, Taifeng Wang, Xiaopei Wan, Jingdong Chen, Chao Qu, Wei Chu |
| 2024 | KDD | Enhancing Personalized Headline Generation via Offline Goal-conditioned Reinforcement Learning with Large Language Models. | Xiaoyu Tan, Leijun Cheng, Xihe Qiu, Shaojie Shi, Yuan Cheng, Wei Chu, Yinghui Xu, Yuan Qi |
| 2024 | SIGIR | Enhancing Task Performance in Continual Instruction Fine-tuning Through Format Uniformity. | Xiaoyu Tan, Leijun Cheng, Xihe Qiu, Shaojie Shi, Yuan Cheng, Wei Chu, Yinghui Xu, Yuan Qi |
| 2023 | AAAI | DC-Former: Diverse and Compact Transformer for Person Re-identification. | Wen Li, Cheng Zou, Meng Wang, Furong Xu, Jianan Zhao, Ruobing Zheng, Yuan Cheng, Wei Chu |
| 2023 | AAAI | DRGCN: Dynamic Evolving Initial Residual for Deep Graph Convolutional Networks. | Lei Zhang, Xiaodong Yan, Jianshan He, Ruopeng Li, Wei Chu |
| 2023 | CVPR | Simultaneously Short- and Long-Term Temporal Modeling for Semi-Supervised Video Semantic Segmentation. | Jiangwei Lao, Weixiang Hong, Xin Guo, Yingying Zhang, Jian Wang, Jingdong Chen, Wei Chu |
| 2023 | CVPR | Boundary-aware Backward-Compatible Representation via Adversarial Learning in Image Retrieval. | Tan Pan, Furong Xu, Xudong Yang, Sifeng He, Chen Jiang, Qingpei Guo, Feng Qian, Xiaobo Zhang, Yuan Cheng, Lei Yang, Wei Chu |
| 2023 | EDM | The Predictiveness of PFA is Improved by Incorporating the Learner's Correct Response Time Fluctuation. | Wei Chu, Philip I. Pavlik Jr. |
| 2023 | Interspeech | Improving End-to-End Modeling For Mandarin-English Code-Switching Using Lightweight Switch-Routing Mixture-of-Experts. | Fengyun Tan, Chaofeng Feng, Tao Wei, Shuai Gong, Jinqiang Leng, Wei Chu, Jun Ma, Shaojun Wang, Jing Xiao |
| 2023 | KDD | Learning to Discover Various Simpson's Paradoxes. | Jingwei Wang, Jianshan He, Weidi Xu, Ruopeng Li, Wei Chu |
| 2023 | WWW | China's First Natural Language-based AI ChatBot Trader. | James Y. Zhang, Zhi Li, Hao Fang, Jun Wu, Zhongnan Shen, Jing Zheng, Wei Chu, Weiping Duan, Peng Xu |
| 2023 | SIGIR | Spatio-Temporal Hypergraph Learning for Next POI Recommendation. | Xiaodong Yan, Tengwei Song, Yifeng Jiao, Jianshan He, Jiaotuan Wang, Ruopeng Li, Wei Chu |
| 2022 | AAAI | Width & Depth Pruning for Vision Transformers. | Fang Yu, Kun Huang, Meng Wang, Yuan Cheng, Wei Chu, Li Cui |
| 2022 | AAAI | CMUA-Watermark: A Cross-Model Universal Adversarial Watermark for Combating Deepfakes. | Hao Huang, Yongtao Wang, Zhaoyu Chen, Yuze Zhang, Yuheng Li, Zhi Tang, Wei Chu, Jingdong Chen, Weisi Lin, Kai-Kuang Ma |
| 2022 | ACL | Keywords and Instances: A Hierarchical Contrastive Learning Framework Unifying Hybrid Granularities for Text Generation. | Mingzhe Li, Xiexiong Lin, Xiuying Chen, Jinxiong Chang, Qishen Zhang, Feng Wang, Taifeng Wang, Zhongyi Liu, Wei Chu, Dongyan Zhao, Rui Yan |
| 2022 | CVPR | Training Object Detectors from Scratch: An Empirical Study in the Era of Vision Transformer. | Weixiang Hong, Jiangwei Lao, Wang Ren, Jian Wang, Jingdong Chen, Wei Chu |
| 2022 | ECCV | Switch-BERT: Learning to Model Multimodal Interactions by Switching Attention and Input. | Qingpei Guo, Kaisheng Yao, Wei Chu |
| 2022 | EMNLP | Extracting Trigger-sharing Events via an Event Matrix. | Jun Xu, Weidi Xu, Mengshu Sun, Taifeng Wang, Wei Chu |
| 2022 | Interspeech | FFM: A Frame Filtering Mechanism To Accelerate Inference Speed For Conformer In Speech Recognition. | Zongfeng Quan, Nick J. C. Wang, Wei Chu, Tao Wei, Shaojun Wang, Jing Xiao |
| 2022 | SIGIR | CRET: Cross-Modal Retrieval Transformer for Efficient Text-Video Retrieval. | Kaixiang Ji, Jiajia Liu, Weixiang Hong, Liheng Zhong, Jian Wang, Jingdong Chen, Wei Chu |
| 2022 | SIGIR | ESCM2: Entire Space Counterfactual Multi-Task Model for Post-Click Conversion Rate Estimation. | Hao Wang, Tai-Wei Chang, Tianqiao Liu, Jianmin Huang, Zhichao Chen, Chao Yu, Ruopeng Li, Wei Chu |
| 2021 | ACL | PairRE: Knowledge Graph Embeddings via Paired Relation Vectors. | Linlin Chao, Jianshan He, Taifeng Wang, Wei Chu |
| 2021 | CVPR | LPSNet: A Lightweight Solution for Fast Panoptic Segmentation. | Weixiang Hong, Qingpei Guo, Wei Zhang, Jingdong Chen, Wei Chu |
| 2021 | CVPR | Discrimination-Aware Mechanism for Fine-Grained Representation Learning. | Furong Xu, Meng Wang, Wei Zhang, Yuan Cheng, Wei Chu |
| 2021 | ICASSP | CASS-NAT: CTC Alignment-Based Single Step Non-Autoregressive Transformer for Speech Recognition. | Ruchao Fan, Wei Chu, Peng Chang, Jing Xiao |
| 2021 | Interspeech | Extending Pronunciation Dictionary with Automatically Detected Word Mispronunciations to Improve PAII's System for Interspeech 2021 Non-Native Child English Close Track ASR Challenge. | Wei Chu, Peng Chang, Jing Xiao |
| 2021 | Interspeech | An Improved Single Step Non-Autoregressive Transformer for Automatic Speech Recognition. | Ruchao Fan, Wei Chu, Peng Chang, Jing Xiao, Abeer Alwan |
| 2021 | Interspeech | Low Resource German ASR with Untranscribed Data Spoken by Non-Native Children - INTERSPEECH 2021 Shared Task SPAPL System. | Jinhan Wang, Yunzheng Zhu, Ruchao Fan, Wei Chu, Abeer Alwan |
| 2021 | SIGIR | GilBERT: Generative Vision-Language Pre-Training for Image-Text Retrieval. | Weixiang Hong, Kaixiang Ji, Jiajia Liu, Jian Wang, Jingdong Chen, Wei Chu |
| 2020 | AAAI | Automatic Car Damage Assessment System: Reading and Understanding Videos as Professional Insurance Inspectors. | Wei Zhang, Yuan Cheng, Xin Guo, Qingpei Guo, Jian Wang, Qing Wang, Chen Jiang, Meng Wang, Furong Xu, Wei Chu |
| 2020 | ACL | SpellGCN: Incorporating Phonological and Visual Similarities into Language Models for Chinese Spelling Check. | Xingyi Cheng, Weidi Xu, Kunlong Chen, Shaohua Jiang, Feng Wang, Taifeng Wang, Wei Chu, Yuan Qi |
| 2020 | ACL | Generating Informative Conversational Response using Recurrent Knowledge-Interaction and Knowledge-Copy. | Xiexiong Lin, Weiyu Jian, Jianshan He, Taifeng Wang, Wei Chu |
| 2020 | COLING | Towards Fast and Accurate Neural Chinese Word Segmentation with Multi-Criteria Learning. | Weipeng Huang, Xingyi Cheng, Kunlong Chen, Taifeng Wang, Wei Chu |
| 2020 | ECCV | Variational Connectionist Temporal Classification. | Linlin Chao, Jingdong Chen, Wei Chu |
| 2020 | EMNLP | Question Directed Graph Attention Network for Numerical Reasoning over Text. | Kunlong Chen, Weidi Xu, Xingyi Cheng, Zou Xiaochuan, Yuyu Zhang, Le Song, Taifeng Wang, Yuan Qi, Wei Chu |
| 2020 | ICCD | Duty-Cycle Correction For A Super-Wide Frequency Range from 10MHz to 1.2GHz. | Wei Chu, Wei-Hao Chen, Shi-Yu Huang |
| 2020 | Interspeech | Recognize Mispronunciations to Improve Non-Native Acoustic Modeling Through a Phone Decoder Built from One Edit Distance Finite State Automaton. | Wei Chu, Yang Liu, Jianwei Zhou |
| 2020 | WWW | Metric Learning with Equidistant and Equidistributed Triplet-based Loss for Product Image Search. | Furong Xu, Wei Zhang, Yuan Cheng, Wei Chu |
| 2019 | AAAI | Latent Dirichlet Allocation for Internet Price War. | Chenchen Li, Xiang Yan, Xiaotie Deng, Yuan Qi, Wei Chu, Le Song, Junlong Qiao, Jianshan He, Junwu Xiong |
| 2019 | CoNLL | Variational Semi-Supervised Aspect-Term Sentiment Analysis via Transformer. | Xingyi Cheng, Weidi Xu, Taifeng Wang, Wei Chu, Weipeng Huang, Kunlong Chen, Junfeng Hu |
| 2019 | DAC | The Ping-Pong Tunable Delay Line In A Super-Resilient Delay-Locked Loop. | Zheng-Hong Zhang, Wei Chu, Shi-Yu Huang |
| 2019 | ITC | Overall Strategy for Online Clock System Checking Supporting Heterogeneous Integration. | Wei Chu, Shi-Yu Huang |
| 2018 | ICASSP | Joint Audio-Video Driven Facial Animation. | Xin Chen, Chen Cao, Zehao Xue, Wei Chu |
| 2018 | ICPR | A Novel Integrated Framework for Learning both Text Detection and Recognition. | Wanchen Sui, Qing Zhang, Jun Yang, Wei Chu |
| 2018 | WSDM | Modelling Domain Relationships for Transfer Learning on Retrieval-based Question Answering Systems in E-commerce. | Jianfei Yu, Minghui Qiu, Jing Jiang, Jun Huang, Shuangyong Song, Wei Chu, Haiqing Chen |
| 2017 | ACL | AliMe Chat: A Sequence to Sequence and Rerank based Chatbot Engine. | Minghui Qiu, Feng-Lin Li, Siyu Wang, Xing Gao, Yan Chen, Weipeng Zhao, Haiqing Chen, Jun Huang, Wei Chu |
| 2017 | CIKM | Untitled record | Feng-Lin Li, Minghui Qiu, Haiqing Chen, Xiongwei Wang, Xing Gao, Jun Huang, Juwei Ren, Zhongzhou Zhao, Weipeng Zhao, Lei Wang, Guwei Jin, Wei Chu |
| 2017 | ICDM | A Short-Term Rainfall Prediction Model Using Multi-task Convolutional Neural Networks. | Minghui Qiu, Peilin Zhao, Ke Zhang, Jun Huang, Xing Shi, Xiaoguang Wang, Wei Chu |
| 2016 | ICASSP | Speaker cluster-based speaker adaptive training for deep neural network acoustic modeling. | Wei Chu, Ruxin Chen |
| 2015 | WSDM | Learning to Recommend Related Entities to Search Users. | Bin Bi, Hao Ma, Bo-June Paul Hsu, Wei Chu, Kuansan Wang, Junghoo Cho |
| 2014 | SIGIR | Cohort modeling for enhanced personalized search. | Jinyun Yan, Wei Chu, Ryen W. White |
| 2013 | WWW | Learning to extract cross-session search tasks. | Hongning Wang, Yang Song, Ming-Wei Chang, Xiaodong He, Ryen W. White, Wei Chu |
| 2013 | WWW | Enhancing personalized search by mining and modeling task behavior. | Ryen W. White, Wei Chu, Ahmed Hassan Awadallah, Xiaodong He, Yang Song, Hongning Wang |
| 2013 | SIGIR | Personalized ranking model adaptation for web search. | Hongning Wang, Xiaodong He, Ming-Wei Chang, Yang Song, Ryen W. White, Wei Chu |
| 2012 | ICASSP | FBEM: A filter bank EM algorithm for the joint optimization of features and acoustic model parameters in bird call classification. | Wei Chu, Abeer Alwan |
| 2012 | SIGIR | Modeling the impact of short- and long-term behavior on search personalization. | Paul N. Bennett, Ryen W. White, Wei Chu, Susan T. Dumais, Peter Bailey, Fedor Borisyuk, Xiaoyuan Cui |
| 2011 | ACSSC | An information filter for voice prompt suppression. | John W. McDonough, Wei Chu, Ken'ichi Kumatani, Bhiksha Raj, Jill Fain Lehman |
| 2011 | CEC | Fortify particle swam optimizer (PSO) with principal components analysis: A case study in improving bound-handling for optimizing high-dimensional and complex problems. | Wei Chu, Xiaogang Gao, Soroosh Sorooshian |
| 2011 | CIKM | A machine-learned proactive moderation system for auction fraud detection. | Liang Zhang, Jie Yang, Wei Chu, Belle L. Tseng |
| 2011 | ICASSP | Noise robust bird song detection using syllable pattern-based hidden Markov models. | Wei Chu, Daniel T. Blumstein |
| 2011 | KDD | Unbiased online active learning in data streams. | Wei Chu, Martin Zinkevich, Lihong Li, Achint Thomas, Belle L. Tseng |
| 2011 | WSDM | Unbiased offline evaluation of contextual-bandit-based news article recommendation algorithms. | Lihong Li, Wei Chu, John Langford, Xuanhui Wang |
| 2010 | CIKM | Online learning for recency search ranking using real-time user feedback. | Taesup Moon, Lihong Li, Wei Chu, Ciya Liao, Zhaohui Zheng, Yi Chang |
| 2010 | Interspeech | SAFE: a statistical algorithm for F0 estimation for both clean and noisy speech. | Wei Chu, Abeer Alwan |
| 2010 | WWW | A contextual-bandit approach to personalized news article recommendation. | Lihong Li, Wei Chu, John Langford, Robert E. Schapire |
| 2009 | ICASSP | Reducing F0 Frame Error of F0 tracking algorithms under noisy conditions with an unvoiced/voiced classification frontend. | Wei Chu, Abeer Alwan |
| 2009 | Interspeech | A correlation-maximization denoising filter used as an enhancement frontend for noise robust bird call classification. | Wei Chu, Abeer Alwan |
| 2009 | KDD | A case study of behavior-driven conjoint analysis on Yahoo!: front page today module. | Wei Chu, Seung-Taek Park, Todd Beaupre, Nitin Motgi, Amit Phadke, Seinjuti Chakraborty, Joe Zachariah |
| 2009 | RecSys | Pairwise preference regression for cold-start recommendation. | Seung-Taek Park, Wei Chu |
| 2009 | WWW | Personalized recommendation on dynamic content using predictive bilinear models. | Wei Chu, Seung-Taek Park |
| 2007 | ICDM | A Support Vector Approach to Censored Targets. | Pannagadatta K. Shivaswamy, Wei Chu, Martin Jansche |
| 2007 | IJCAI | Semi-Supervised Gaussian Process Classifiers. | Vikas Sindhwani, Wei Chu, S. Sathiya Keerthi |
| 2006 | ICASSP | A Noise-Robust Fft-Based Spectrum for Audio Classification. | Wei Chu, Benot Champagne |
| 2006 | ICDM | Minimum Enclosing Spheres Formulations for Support Vector Ordinal Regression. | Shirish K. Shevade, Wei Chu |
| 2006 | IJCNN | Model Selection: An Empirical Study on Two Kernel Classifiers. | Wei Chu |
| 2006 | PSB | Identifying Protein Complexes in High-Throughput Protein Interaction Screens Using an Infinite Latent Feature Model. | Wei Chu, Zoubin Ghahramani, Roland Krause, David L. Wild |
| 2006 | SSPR | Confidence Score Based Unsupervised Incremental Adaptation for OOV Words Detection. | Wei Chu, Xi Xiao, Jia Liu |
| 2005 | ICML | Preference learning with Gaussian processes. | Wei Chu, Zoubin Ghahramani |
| 2005 | ICML | New approaches to support vector ordinal regression. | Wei Chu, S. Sathiya Keerthi |
| 2004 | ESANN | Protein secondary structure prediction using sigmoid belief networks to parameterize segmental semi-Markov models. | Wei Chu, Zoubin Ghahramani, David L. Wild |
| 2004 | ICML | A graphical model for protein secondary structure prediction. | Wei Chu, Zoubin Ghahramani, David L. Wild |
| 2001 | ICML | A Unified Loss Function in Bayesian Framework for Support Vector Regression. | Wei Chu, S. Sathiya Keerthi, Chong Jin Ong |