Li, Ling

36 publications

IJCAI 2025 Automated Superscalar Processor Design by Learning Data Dependencies Shuyao Cheng, Rui Zhang, Wenkai He, Pengwei Jin, Chongxiao Li, Zidong Du, Xing Hu, Yifan Hao, Guanglin Xu, Yuanbo Wen, Ling Li, Qi Guo, Yunji Chen

NeurIPS 2025 EasySpec: Layer-Parallel Speculative Decoding for Efficient Multi-GPU Utilization Yize Wu, Ke Gao, Ling Li, Yanjun Wu

ICML 2025 Equivalence Is All: A Unified View for Self-Supervised Graph Learning Yejiang Wang, Yuhai Zhao, Zhengkui Wang, Ling Li, Jiapu Wang, Fangting Li, Miaomiao Huang, Shirui Pan, Xingwei Wang

AAAI 2025 Multi-View 3D Human Pose Estimation with Weakly Synchronized Images Ling Li, Ruiwen Gu, Chongyang Wang, Junliang Xing, Xinchun Yu, Xiao-Ping Zhang

CVPRW 2025 Multiple Instance Learning for Visual Grain Quality Analysis Without Instance-Level Annotation Bradley Ezard, Ling Li, Senjian An

ICML 2025 N2GON: Neural Networks for Graph-of-Net with Position Awareness Yejiang Wang, Yuhai Zhao, Zhengkui Wang, Wen Shan, Ling Li, Qian Li, Miaomiao Huang, Meixia Wang, Shirui Pan, Xingwei Wang

AAAI 2025 QiMeng-GEMM: Automatically Generating High-Performance Matrix Multiplication Code by Exploiting Large Language Models Qirui Zhou, Yuanbo Wen, Ruizhi Chen, Ke Gao, Weiqiang Xiong, Ling Li, Qi Guo, Yanjun Wu, Yunji Chen

NeurIPS 2025 QiMeng-MuPa: Mutual-Supervised Learning for Sequential-to-Parallel Code Translation Changxin Ke, Rui Zhang, Shuo Wang, Li Ding, Guangli Li, Yuanbo Wen, Shuoming Zhang, Ruiyuan Xu, Jin Qin, Jiaming Guo, Chenxi Wang, Ling Li, Qi Guo, Yunji Chen

IJCAI 2025 QiMeng-TensorOp: One-Line Prompt Is Enough for High-Performance Tensor Operator Generation with Hardware Primitives Xuzhi Zhang, Shaohui Peng, Qirui Zhou, Yuanbo Wen, Qi Guo, Ruizhi Chen, Xinguo Zhu, Weiqiang Xiong, Haixin Chen, Congying Ma, Ke Gao, Chen Zhao, Yanjun Wu, Yunji Chen, Ling Li

NeurIPS 2025 Recognition Through Reasoning: Reinforcing Image Geo-Localization with Large Vision-Language Models Ling Li, Yao Zhou, Yuxuan Liang, Fugee Tsung, Jiaheng Wei

CVPR 2025 SEEN-DA: SEmantic ENtropy Guided Domain-Aware Attention for Domain Adaptive Object Detection Haochen Li, Rui Zhang, Hantao Yao, Xin Zhang, Yifan Hao, Xinkai Song, Shaohui Peng, Yongwei Zhao, Chen Zhao, Yanjun Wu, Ling Li

ICML 2024 AutoOS: Make Your OS More Powerful by Exploiting Large Language Models Huilai Chen, Yuanbo Wen, Limin Cheng, Shouxu Kuang, Yumeng Liu, Weijia Li, Ling Li, Rui Zhang, Xinkai Song, Wei Li, Qi Guo, Yunji Chen

NeurIPS 2024 DA-Ada: Learning Domain-Aware Adapter for Domain Adaptive Object Detection Haochen Li, Rui Zhang, Hantao Yao, Xin Zhang, Yifan Hao, Xinkai Song, Xiaqing Li, Yongwei Zhao, Ling Li, Yunji Chen

ICML 2024 GeoReasoner: Geo-Localization with Reasoning in Street Views Using a Large Vision-Language Model Ling Li, Yu Ye, Bingchuan Jiang, Wei Zeng

AAAI 2024 Hypothesis, Verification, and Induction: Grounding Large Language Models with Self-Driven Skill Learning Shaohui Peng, Xing Hu, Qi Yi, Rui Zhang, Jiaming Guo, Di Huang, Zikang Tian, Ruizhi Chen, Zidong Du, Qi Guo, Yunji Chen, Ling Li

AAAI 2024 OCEAN-MBRL: Offline Conservative Exploration for Model-Based Offline Reinforcement Learning Fan Wu, Rui Zhang, Qi Yi, Yunkai Gao, Jiaming Guo, Shaohui Peng, Siming Lan, Husheng Han, Yansong Pan, Kaizhao Yuan, Pengwei Jin, Ruizhi Chen, Yunji Chen, Ling Li

ICML 2024 Prompt-Based Visual Alignment for Zero-Shot Policy Transfer Haihan Gao, Rui Zhang, Qi Yi, Hantao Yao, Haochen Li, Jiaming Guo, Shaohui Peng, Yunkai Gao, Qicheng Wang, Xing Hu, Yuanbo Wen, Zihao Zhang, Zidong Du, Ling Li, Qi Guo, Yunji Chen

IJCAI 2023 ALL-E: Aesthetics-Guided Low-Light Image Enhancement Ling Li, Dong Liang, Yuanhang Gao, Sheng-Jun Huang, Songcan Chen

AAAI 2023 Conceptual Reinforcement Learning for Language-Conditioned Tasks Shaohui Peng, Xing Hu, Rui Zhang, Jiaming Guo, Qi Yi, Ruizhi Chen, Zidong Du, Ling Li, Qi Guo, Yunji Chen

NeurIPS 2023 Context Shift Reduction for Offline Meta-Reinforcement Learning Yunkai Gao, Rui Zhang, Jiaming Guo, Fan Wu, Qi Yi, Shaohui Peng, Siming Lan, Ruizhi Chen, Zidong Du, Xing Hu, Qi Guo, Ling Li, Yunji Chen

NeurIPS 2023 Contrastive Modules with Temporal Attention for Multi-Task Reinforcement Learning Siming Lan, Rui Zhang, Qi Yi, Jiaming Guo, Shaohui Peng, Yunkai Gao, Fan Wu, Ruizhi Chen, Zidong Du, Xing Hu, Xishan Zhang, Ling Li, Yunji Chen

NeurIPS 2023 Decompose a Task into Generalizable Subtasks in Multi-Agent Reinforcement Learning Zikang Tian, Ruizhi Chen, Xing Hu, Ling Li, Rui Zhang, Fan Wu, Shaohui Peng, Jiaming Guo, Zidong Du, Qi Guo, Yunji Chen

NeurIPS 2023 Efficient Symbolic Policy Learning with Differentiable Symbolic Expression Jiaming Guo, Rui Zhang, Shaohui Peng, Qi Yi, Xing Hu, Ruizhi Chen, Zidong Du, Xishan Zhang, Ling Li, Qi Guo, Yunji Chen

NeurIPS 2023 GALOPA: Graph Transport Learning with Optimal Plan Alignment Yejiang Wang, Yuhai Zhao, Daniel Zhengkui Wang, Ling Li

NeurIPS 2023 Learning Domain-Aware Detection Head with Prompt Tuning Haochen Li, Rui Zhang, Hantao Yao, Xinkai Song, Yifan Hao, Yongwei Zhao, Ling Li, Yunji Chen

ICML 2022 BabelTower: Learning to Auto-Parallelized Program Translation Yuanbo Wen, Qi Guo, Qiang Fu, Xiaqing Li, Jianxing Xu, Yanlin Tang, Yongwei Zhao, Xing Hu, Zidong Du, Ling Li, Chao Wang, Xuehai Zhou, Yunji Chen

NeurIPS 2022 Causality-Driven Hierarchical Structure Discovery for Reinforcement Learning Shaohui Peng, Xing Hu, Rui Zhang, Ke Tang, Jiaming Guo, Qi Yi, Ruizhi Chen, Xishan Zhang, Zidong Du, Ling Li, Qi Guo, Yunji Chen

AAAI 2022 Conditional Local Convolution for Spatio-Temporal Meteorological Forecasting Haitao Lin, Zhangyang Gao, Yongjie Xu, Lirong Wu, Ling Li, Stan Z. Li

AAAI 2022 Semantically Contrastive Learning for Low-Light Image Enhancement Dong Liang, Ling Li, Mingqiang Wei, Shuo Yang, Liyan Zhang, Wenhan Yang, Yun Du, Huiyu Zhou

WACV 2015 Automatic 4D Facial Expression Recognition Using DCT Features Mingliang Xue, Ajmal S. Mian, Wanquan Liu, Ling Li

WACV 2014 Fully Automatic 3D Facial Expression Recognition Using Local Depth Features Mingliang Xue, Ajmal S. Mian, Wanquan Liu, Ling Li

JMLR 2008 Support Vector Machinery for Infinite Ensemble Learning Hsuan-Tien Lin, Ling Li

ALT 2006 Large-Margin Thresholded Ensembles for Ordinal Regression: Theory and Practice Hsuan-Tien Lin, Ling Li

ICML 2006 Multiclass Boosting with Repartitioning Ling Li

NeurIPS 2006 Ordinal Regression by Extended Binary Classification Ling Li, Hsuan-tien Lin

ECML-PKDD 2005 Infinite Ensemble Learning with Support Vector Machines Hsuan-Tien Lin, Ling Li