Wang, Lu

53 publications

ICLR 2026 Bayesian Ensemble for Sequential Decision-Making Rui Liu, Enmin Zhao, Lu Wang, Yu Li, Ming Pang, Changping Peng, Zhangang Lin, Ching Law, Jingping Shao

ICLR 2026 CLASH: Evaluating Language Models on Judging High-Stakes Dilemmas from Multiple Perspectives Ayoung Lee, Ryan Sungmo Kwon, Peter Railton, Lu Wang

ICLR 2026 ExpertLongBench: Benchmarking Language Models on Expert-Level Long-Form Generation Tasks with Structured Checklists Jie Ruan, Inderjeet Jayakumar Nair, Shuyang Cao, Amy Liu, Sheza Munir, Micah Pollens-Dempsey, Yune-Ting Tiffany Chiang, Lucy R. Kates, Nicholas David, Sihan Chen, Ruxin Yang, Yuqian Yang, Jihyun Jasmine Gump, Tessa Bialek, Vivek S Sankaran, Margo Schlanger, Lu Wang

ICLR 2026 LLMs as Rules Oracles: Exploring Real-World Multimodal Reasoning in Tabletop Strategy Game Environments Joseph J Peper, Sai Krishna Gandra, Yunxiang Zhang, Vaibhav Chennareddy, Shloki Jha, Ali Payani, Lu Wang

ICLR 2026 Learning Ordinal Probabilistic Reward from Preferences Longze Chen, Lu Wang, Renke Shan, Ze Gong, Run Luo, Jiaming Li, Jing Luo, Qiyao Wang, Min Yang

ICLR 2026 NExT-OMNI: Towards Any-to-Any Omnimodal Foundation Models with Discrete Flow Matching Run Luo, Xiaobo Xia, Lu Wang, Longze Chen, Renke Shan, Jing Luo, Min Yang, Tat-Seng Chua

ICLR 2026 Pretrain Value, Not Reward: Decoupled Value Policy Optimization Chenghua Huang, Lu Wang, Fangkai Yang, Pu Zhao, Qingwei Lin, Dongmei Zhang, Saravan Rajmohan

TMLR 2026 Process Reward Models That Think Muhammad Khalifa, Rishabh Agarwal, Lajanugen Logeswaran, Jaekyeom Kim, Hao Peng, Moontae Lee, Honglak Lee, Lu Wang

ICLR 2026 RePrompt: Reasoning-Augmented Reprompting for Text-to-Image Generation via Reinforcement Learning Mingrui Wu, Lu Wang, Pu Zhao, Fangkai Yang, Jianjin Zhang, Jianfeng Liu, Yuefeng Zhan, Weihao Han, Hao Sun, Jiayi Ji, Xiaoshuai Sun, Qingwei Lin, Weiwei Deng, Dongmei Zhang, Feng Sun, Rongrong Ji

ICLR 2026 Text2Grad: Reinforcement Learning from Natural Language Feedback Hanyang Wang, Lu Wang, Chaoyun Zhang, Tianjun Mao, Si Qin, Qingwei Lin, Saravan Rajmohan, Dongmei Zhang

TMLR 2026 VEM: Environment-Free Exploration for Training GUI Agent with Value Environment Model Mengzhuo Chen, Jiani Zheng, Lu Wang, Fangkai Yang, Chaoyun Zhang, Lingrui Mei, Wenjie Yin, Qingwei Lin, Dongmei Zhang, Saravan Rajmohan

AAAI 2025 Debiased Distillation for Consistency Regularization Lu Wang, Liuchi Xu, Xiong Yang, Zhenhua Huang, Jun Cheng

CVPR 2025 Detection-Friendly Nonuniformity Correction: A Union Framework for Infrared UAV Target Detection Houzhang Fang, Xiaolin Wang, Zengyang Li, Lu Wang, Qingshan Li, Yi Chang, Luxin Yan

ICML 2025 Domain2Vec: Vectorizing Datasets to Find the Optimal Data Mixture Without Training Mozhi Zhang, Howe Tissue, Lu Wang, Xipeng Qiu

NeurIPS 2025 FedWMSAM: Fast and Flat Federated Learning via Weighted Momentum and Sharpness-Aware Minimization Tianle Li, Yongzhi Huang, Linshan Jiang, Chang Liu, Qipeng Xie, Wenfeng Du, Lu Wang, Kaishun Wu

IJCAI 2025 HARMONY: A Privacy-Preserving and Sensor-Agnostic Tele-Monitoring System Qipeng Xie, Hao Guo, Weizheng Wang, Yongzhi Huang, Linshan Jiang, Jiafei Wu, Shuxin Zhong, Lu Wang, Kaishun Wu

TMLR 2025 Large Action Models: From Inception to Implementation Lu Wang, Fangkai Yang, Chaoyun Zhang, Junting Lu, Jiaxu Qian, Shilin He, Pu Zhao, Bo Qiao, He Huang, Si Qin, Qisheng Su, Jiayi Ye, Yudi Zhang, Jian-Guang Lou, Qingwei Lin, Saravan Rajmohan, Dongmei Zhang, Qi Zhang

ICML 2025 Learning Dynamics in Continual Pre-Training for Large Language Models Xingjin Wang, Howe Tissue, Lu Wang, Linjing Li, Daniel Dajun Zeng

ICCV 2025 Local Dense Logit Relations for Enhanced Knowledge Distillation Liuchi Xu, Kang Liu, Jinshuai Liu, Lu Wang, Lisheng Xu, Jun Cheng

NeurIPS 2025 MLRC-Bench: Can Language Agents Solve Machine Learning Research Challenges? Yunxiang Zhang, Muhammad Khalifa, Shitanshu Bhushan, Grant D Murphy, Lajanugen Logeswaran, Jaekyeom Kim, Moontae Lee, Honglak Lee, Lu Wang

ICLR 2025 RuAG: Learned-Rule-Augmented Generation for Large Language Models Yudi Zhang, Pei Xiao, Lu Wang, Chaoyun Zhang, Meng Fang, Yali Du, Yevgeniy Puzyrev, Randolph Yao, Si Qin, Qingwei Lin, Mykola Pechenizkiy, Dongmei Zhang, Saravan Rajmohan, Qi Zhang

AAAI 2025 SSC-VAE: Structured Sparse Coding Based Variational Autoencoder for Detail Preserved Image Reconstruction Hao Wang, Lu Wang, Zhongyu Wang, Lixin Ma, Ye Luo

NeurIPS 2025 Scaling Law with Learning Rate Annealing Howe Tissue, Venus Wang, Lu Wang

ICLR 2025 Self-Evolved Reward Learning for LLMs Chenghua Huang, Zhizhen Fan, Lu Wang, Fangkai Yang, Pu Zhao, Zeqi Lin, Qingwei Lin, Dongmei Zhang, Saravan Rajmohan, Qi Zhang

NeurIPS 2025 VCM: Vision Concept Modeling with Adaptive Vision Token Compression via Instruction Fine-Tuning Run Luo, Renke Shan, Longze Chen, Ziqiang Liu, Lu Wang, Min Yang, Xiaobo Xia

AAAI 2024 Balance Reward and Safety Optimization for Safe Reinforcement Learning: A Perspective of Gradient Manipulation Shangding Gu, Bilgehan Sel, Yuhao Ding, Lu Wang, Qingwei Lin, Ming Jin, Alois Knoll

ECCV 2024 Hierarchical Gaussian Mixture Normalizing Flow Modeling for Unified Anomaly Detection Xincheng Yao, Ruoqi Li, Zefeng Qian, Lu Wang, Chongyang Zhang

ICLR 2024 LitCab: Lightweight Language Model Calibration over Short- and Long-Form Responses Xin Liu, Muhammad Khalifa, Lu Wang

CVPR 2024 Neural Super-Resolution for Real-Time Rendering with Radiance Demodulation Jia Li, Ziling Chen, Xiaolong Wu, Lu Wang, Beibei Wang, Lei Zhang

AAAI 2024 Parallel Ranking of Ads and Creatives in Real-Time Advertising Systems Zhiguang Yang, Liufang Sang, Haoran Wang, Wenlong Chen, Lu Wang, Jie He, Changping Peng, Zhangang Lin, Chun Gan, Jingping Shao

UAI 2024 SMuCo: Reinforcement Learning for Visual Control via Sequential Multi-View Total Correlation Tong Cheng, Hang Dong, Lu Wang, Bo Qiao, Qingwei Lin, Saravan Rajmohan, Thomas Moscibroda

ICLRW 2024 Source-Aware Training Enables Knowledge Attribution in Language Models Muhammad Khalifa, David Wadden, Emma Strubell, Honglak Lee, Lu Wang, Iz Beltagy, Hao Peng

CVPRW 2023 BlazeStyleGAN: A Real-Time On-Device StyleGAN Haolin Jia, Qifei Wang, Omer Tov, Yang Zhao, Fei Deng, Lu Wang, Chuo-Ling Chang, Tingbo Hou, Matthias Grundmann

NeurIPS 2023 Conservative State Value Estimation for Offline Reinforcement Learning Liting Chen, Jie Yan, Zhengdao Shao, Lu Wang, Qingwei Lin, Saravanakumar Rajmohan, Thomas Moscibroda, Dongmei Zhang

ICLRW 2023 Exploring Demonstration Ensembling for In-Context Learning Muhammad Khalifa, Lajanugen Logeswaran, Moontae Lee, Honglak Lee, Lu Wang

ICCVW 2023 On-Device Real-Time Custom Hand Gesture Recognition Esha Uboweja, David Tian, Qifei Wang, Yi-Chun Kuo, Joe Zou, Lu Wang, George Sung, Matthias Grundmann

ICLR 2022 Explaining Point Processes by Learning Interpretable Temporal Logic Rules Shuang Li, Mingquan Feng, Lu Wang, Abdelmajid Essofi, Yufeng Cao, Junchi Yan, Le Song

ICLR 2022 LoRA: Low-Rank Adaptation of Large Language Models Edward J Hu, Yelong Shen, Phillip Wallis, Zeyuan Allen-Zhu, Yuanzhi Li, Shean Wang, Lu Wang, Weizhu Chen

IJCAI 2022 T-SMOTE: Temporal-Oriented Synthetic Minority Oversampling Technique for Imbalanced Time Series Classification Pu Zhao, Chuan Luo, Bo Qiao, Lu Wang, Saravan Rajmohan, Qingwei Lin, Dongmei Zhang

CVPR 2021 Learning to Segment Actions from Visual and Language Instructions via Differentiable Weak Sequence Alignment Yuhan Shen, Lu Wang, Ehsan Elhamifar

AAAI 2020 Copy or Rewrite: Hybrid Summarization with Hierarchical Reinforcement Learning Liqiang Xiao, Lu Wang, Hao He, Yaohui Jin

ICLR 2020 Infinite-Horizon Off-Policy Policy Evaluation with Multiple Behavior Policies Xinyun Chen, Lu Wang, Yizhe Hang, Heng Ge, Hongyuan Zha

NeurIPS 2020 Provably Robust Metric Learning Lu Wang, Xuanqing Liu, Jinfeng Yi, Yuan Jiang, Cho-Jui Hsieh

MLJ 2020 Spanning Attack: Reinforce Black-Box Attacks with Unlabeled Data Lu Wang, Huan Zhang, Jinfeng Yi, Cho-Jui Hsieh, Yuan Jiang

ICML 2020 Temporal Logic Point Processes Shuang Li, Lu Wang, Ruizhi Zhang, Xiaofu Chang, Xuqin Liu, Yao Xie, Yuan Qi, Le Song

AAAI 2019 Learning Segmentation Masks with the Independence Prior Songmin Dai, Xiaoqiang Li, Lu Wang, Pin Wu, Weiqin Tong, Yimin Chen

IJCAI 2016 Cost-Saving Effect of Crowdsourcing Learning Lu Wang, Zhi-Hua Zhou

AAAI 2016 Risk Minimization in the Presence of Label Noise Wei Gao, Lu Wang, Yufeng Li, Zhi-Hua Zhou

WACV 2014 Automatic 3D Change Detection for Glaucoma Diagnosis Lu Wang, Vinutha Kallem, Mayank Bansal, Jayan Eledath, Harpreet S. Sawhney, Denise J. Pearson, Richard A. Stone

CVPRW 2012 Magic Mirror: A Virtual Handbag Shopping System Lu Wang, Ryan Villamil, Supun Samarasekera, Rakesh Kumar

CVPR 2009 A Robust Approach for Automatic Registration of Aerial Images with Untextured Aerial LiDAR Data Lu Wang, Ulrich Neumann

ICCV 2009 Wide-Baseline Image Matching Using Line Signatures Lu Wang, Ulrich Neumann, Suya You

ICCV 2007 Semiautomatic Registration Between Ground-Level Panoramas and an Orthorectified Aerial Image for Building Modeling Lu Wang, Suya You, Ulrich Neumann