Lin, Qingwei

30 publications

NeurIPS 2025 GUI-Actor: Coordinate-Free Visual Grounding for GUI Agents Qianhui Wu, Kanzhi Cheng, Rui Yang, Chaoyun Zhang, Jianwei Yang, Huiqiang Jiang, Jian Mu, Baolin Peng, Bo Qiao, Reuben Tan, Si Qin, Lars Liden, Qingwei Lin, Huan Zhang, Tong Zhang, Jianbing Zhang, Dongmei Zhang, Jianfeng Gao

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

TMLR 2025 Large Language Model-Brained GUI Agents: A Survey Chaoyun Zhang, Shilin He, Jiaxu Qian, Bowen Li, Liqun Li, Si Qin, Yu Kang, Minghua Ma, Guyue Liu, Qingwei Lin, Saravan Rajmohan, Dongmei Zhang, Qi Zhang

ICLR 2025 OpenRCA: Can Large Language Models Locate the Root Cause of Software Failures? Junjielong Xu, Qinan Zhang, Zhiqing Zhong, Shilin He, Chaoyun Zhang, Qingwei Lin, Dan Pei, Pinjia He, Dongmei Zhang, Qi Zhang

CVPR 2025 Reason-Before-Retrieve: One-Stage Reflective Chain-of-Thoughts for Training-Free Zero-Shot Composed Image Retrieval Yuanmin Tang, Jue Zhang, Xiaoting Qin, Jing Yu, Gaopeng Gou, Gang Xiong, Qingwei Lin, Saravan Rajmohan, Dongmei Zhang, Qi Wu

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

NeurIPS 2025 SWE-Bench Goes Live! Linghao Zhang, Shilin He, Chaoyun Zhang, Yu Kang, Bowen Li, Chengxing Xie, Junhao Wang, Maoquan Wang, Yufan Huang, Shengyu Fu, Elsie Nallipogu, Qingwei Lin, Yingnong Dang, Saravan Rajmohan, Dongmei Zhang

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

ICLR 2025 WizardMath: Empowering Mathematical Reasoning for Large Language Models via Reinforced Evol-Instruct Haipeng Luo, Qingfeng Sun, Can Xu, Pu Zhao, Jian-Guang Lou, Chongyang Tao, Xiubo Geng, Qingwei Lin, Shifeng Chen, Yansong Tang, Dongmei Zhang

TMLR 2025 Zoomer: Adaptive Image Focus Optimization for Black-Box MLLM Jiaxu Qian, Chendong Wang, Yifan Yang, Chaoyun Zhang, Huiqiang Jiang, Xufang Luo, Yu Kang, Qingwei Lin, Anlan Zhang, Shiqi Jiang, Ting Cao, Tianjun Mao, Suman Banerjee, Guyue Liu, Saravan Rajmohan, Dongmei Zhang, Yuqing Yang, Qi Zhang, Lili Qiu

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

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

NeurIPS 2024 WizardArena: Post-Training Large Language Models via Simulated Offline Chatbot Arena Haipeng Luo, Qingfeng Sun, Can Xu, Pu Zhao, Qingwei Lin, Jianguang Lou, Shifeng Chen, Yansong Tang, Weizhu Chen

ICLR 2024 WizardCoder: Empowering Code Large Language Models with Evol-Instruct Ziyang Luo, Can Xu, Pu Zhao, Qingfeng Sun, Xiubo Geng, Wenxiang Hu, Chongyang Tao, Jing Ma, Qingwei Lin, Daxin Jiang

ICLR 2024 WizardLM: Empowering Large Pre-Trained Language Models to Follow Complex Instructions Can Xu, Qingfeng Sun, Kai Zheng, Xiubo Geng, Pu Zhao, Jiazhan Feng, Chongyang Tao, Qingwei Lin, Daxin Jiang

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

ICCV 2023 LexLIP: Lexicon-Bottlenecked Language-Image Pre-Training for Large-Scale Image-Text Sparse Retrieval Ziyang Luo, Pu Zhao, Can Xu, Xiubo Geng, Tao Shen, Chongyang Tao, Jing Ma, Qingwei Lin, Daxin Jiang

IJCAI 2023 PathLAD+: An Improved Exact Algorithm for Subgraph Isomorphism Problem Yiyuan Wang, Chenghou Jin, Shaowei Cai, Qingwei Lin

ICLR 2023 Towards Lightweight, Model-Agnostic and Diversity-Aware Active Anomaly Detection Xu Zhang, Yuan Zhao, Ziang Cui, Liqun Li, Shilin He, Qingwei Lin, Yingnong Dang, Saravan Rajmohan, Dongmei Zhang

ICLR 2022 Automatic Loss Function Search for Predict-Then-Optimize Problems with Strong Ranking Property Boshi Wang, Jialin Yi, Hang Dong, Bo Qiao, Chuan Luo, Qingwei Lin

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

IJCAI 2021 A Runtime Analysis of Typical Decomposition Approaches in MOEA/D Framework for Many-Objective Optimization Problems Zhengxin Huang, Yuren Zhou, Chuan Luo, Qingwei Lin

NeurIPS 2021 A Surrogate Objective Framework for Prediction+Programming with Soft Constraints Kai Yan, Jie Yan, Chuan Luo, Liting Chen, Qingwei Lin, Dongmei Zhang

AAAI 2021 Correlation-Aware Heuristic Search for Intelligent Virtual Machine Provisioning in Cloud Systems Chuan Luo, Bo Qiao, Wenqian Xing, Xin Chen, Pu Zhao, Chao Du, Randolph Yao, Hongyu Zhang, Wei Wu, Shaowei Cai, Bing He, Saravanakumar Rajmohan, Qingwei Lin

AAAI 2021 NuQClq: An Effective Local Search Algorithm for Maximum Quasi-Clique Problem Jiejiang Chen, Shaowei Cai, Shiwei Pan, Yiyuan Wang, Qingwei Lin, Mengyu Zhao, Minghao Yin

AAAI 2021 PULNS: Positive-Unlabeled Learning with Effective Negative Sample Selector Chuan Luo, Pu Zhao, Chen Chen, Bo Qiao, Chao Du, Hongyu Zhang, Wei Wu, Shaowei Cai, Bing He, Saravanakumar Rajmohan, Qingwei Lin

IJCAI 2021 Predictive Job Scheduling Under Uncertain Constraints in Cloud Computing Hang Dong, Boshi Wang, Bo Qiao, Wenqian Xing, Chuan Luo, Si Qin, Qingwei Lin, Dongmei Zhang, Gurpreet Virdi, Thomas Moscibroda

IJCAI 2020 Intelligent Virtual Machine Provisioning in Cloud Computing Chuan Luo, Bo Qiao, Xin Chen, Pu Zhao, Randolph Yao, Hongyu Zhang, Wei Wu, Andrew Zhou, Qingwei Lin

IJCAI 2020 Two-Goal Local Search and Inference Rules for Minimum Dominating Set Shaowei Cai, Wenying Hou, Yiyuan Wang, Chuan Luo, Qingwei Lin

IJCAI 2019 Local Search with Efficient Automatic Configuration for Minimum Vertex Cover Chuan Luo, Holger H. Hoos, Shaowei Cai, Qingwei Lin, Hongyu Zhang, Dongmei Zhang