Li, Li

50 publications

TMLR 2026 A Survey on Federated Fine-Tuning of Large Language Models Yebo Wu, Chunlin Tian, Jingguang Li, He Sun, KaHou Tam, Zhanting Zhou, Haicheng Liao, Jing Xiong, Zhijiang Guo, Li Li, Cheng-zhong Xu

ICLRW 2025 AsymLoRA: Unlocking the Power of Multimodal LLMs via Asymmetric LoRA Xuyang Wei, Chunlin Tian, Li Li

CVPR 2025 Augmented Deep Contexts for Spatially Embedded Video Coding Yifan Bian, Chuanbo Tang, Li Li, Dong Liu

CVPR 2025 DropoutGS: Dropping Out Gaussians for Better Sparse-View Rendering Yexing Xu, Longguang Wang, Minglin Chen, Sheng Ao, Li Li, Yulan Guo

AAAI 2025 Exploring the Efficacy of Multi-Agent Reinforcement Learning for Autonomous Cyber Defence: A CAGE Challenge 4 Perspective Mitchell Kiely, Metin Ahiskali, Etienne Borde, Benjamin Bowman, David Bowman, Dirk Van Bruggen, Kc Cowan, Prithviraj Dasgupta, Erich Devendorf, Ben Edwards, Alex Fitts, Sunny Fugate, Ryan Gabrys, Wayne Gould, H. Howie Huang, Jules Jacobs, Ryan Kerr, Isaiah J. King, Li Li, Luis Martinez, Christopher Moir, Craig Murphy, Olivia Naish, Claire Owens, Miranda Purchase, Ahmad Ridley, Adrian Taylor, Sara Farmer, William John Valentine, Yiyi Zhang

AAAI 2025 Few-Shot Domain Adaptation for Learned Image Compression Tianyu Zhang, Haotian Zhang, Yuqi Li, Li Li, Dong Liu

CVPR 2025 Flexible Group Count Enables Hassle-Free Structured Pruning Jiamu Zhang, Shaochen Zhong, Andrew Ye, Zirui Liu, Sebastian Zhao, Kaixiong Zhou, Li Li, Soo-Hyun Choi, Rui Chen, Xia Hu, Shuai Xu, Vipin Chaudhary

ICLR 2025 Generalized Video Moment Retrieval You Qin, Qilong Wu, Yicong Li, Wei Ji, Li Li, Pengcheng Cai, Lina Wei, Roger Zimmermann

ICCV 2025 Learned Image Compression with Hierarchical Progressive Context Modeling Yuqi Li, Haotian Zhang, Li Li, Dong Liu

ICCV 2025 Leveraging Spatial Invariance to Boost Adversarial Transferability Zihan Zhou, Li Li, Yanli Ren, Chuan Qin, Guorui Feng

CVPR 2025 Neural Video Compression with Context Modulation Chuanbo Tang, Zhuoyuan Li, Yifan Bian, Li Li, Dong Liu

CVPR 2025 ShiftwiseConv: Small Convolutional Kernel with Large Kernel Effect Dachong Li, Li Li, Zhuangzhuang Chen, Jianqiang Li

ICCV 2025 StableCodec: Taming One-Step Diffusion for Extreme Image Compression Tianyu Zhang, Xin Luo, Li Li, Dong Liu

AAAI 2025 Unsupervised Kernel-Based Multi-View Feature Selection with Robust Self-Representation and Binary Hashing Rongyao Hu, Jiangzhang Gan, Mengmeng Zhan, Li Li, Mengling Wei

NeurIPS 2025 VETA-DiT: Variance-Equalized and Temporally Adaptive Quantization for Efficient 4-Bit Diffusion Transformers QinkaiXu, Yijin Liu, YangChen, Lin Yang, Li Li, Yuxiang Fu

IJCAI 2024 FedGCS: A Generative Framework for Efficient Client Selection in Federated Learning via Gradient-Based Optimization Zhiyuan Ning, Chunlin Tian, Meng Xiao, Wei Fan, Pengyang Wang, Li Li, Pengfei Wang, Yuanchun Zhou

ECCV 2024 Forest2Seq: Revitalizing Order Prior for Sequential Indoor Scene Synthesis Qi Sun, Hang Zhou, Wengang Zhou, Li Li, Houqiang Li

CVPR 2024 How to Configure Good In-Context Sequence for Visual Question Answering Li Li, Jiawei Peng, Huiyi Chen, Chongyang Gao, Xu Yang

NeurIPS 2024 HydraLoRA: An Asymmetric LoRA Architecture for Efficient Fine-Tuning Chunlin Tian, Zhan Shi, Zhijiang Guo, Li Li, Chengzhong Xu

CVPR 2024 Instance-Aware Exploration-Verification-Exploitation for Instance ImageGoal Navigation Xiaohan Lei, Min Wang, Wengang Zhou, Li Li, Houqiang Li

AAAI 2024 Offline and Online Optical Flow Enhancement for Deep Video Compression Chuanbo Tang, Xihua Sheng, Zhuoyuan Li, Haotian Zhang, Li Li, Dong Liu

AAAI 2024 Panoptic Scene Graph Generation with Semantics-Prototype Learning Li Li, Wei Ji, Yiming Wu, Mengze Li, You Qin, Lina Wei, Roger Zimmermann

ECCV 2024 RAPiD-Seg: Range-Aware Pointwise Distance Distribution Networks for 3D LiDAR Segmentation Li Li, Hubert P. H. Shum, Toby P Breckon

ICML 2024 Ranking-Based Client Imitation Selection for Efficient Federated Learning Chunlin Tian, Zhan Shi, Xinpeng Qin, Li Li, Cheng-Zhong Xu

NeurIPS 2023 CLIP4HOI: Towards Adapting CLIP for Practical Zero-Shot HOI Detection Yunyao Mao, Jiajun Deng, Wengang Zhou, Li Li, Yao Fang, Houqiang Li

ICCV 2023 Cyclic-Bootstrap Labeling for Weakly Supervised Object Detection Yufei Yin, Jiajun Deng, Wengang Zhou, Li Li, Houqiang Li

TMLR 2023 DSpar: An Embarrassingly Simple Strategy for Efficient GNN Training and Inference via Degree-Based Sparsification Zirui Liu, Kaixiong Zhou, Zhimeng Jiang, Li Li, Rui Chen, Soo-Hyun Choi, Xia Hu

CVPR 2023 HandNeRF: Neural Radiance Fields for Animatable Interacting Hands Zhiyang Guo, Wengang Zhou, Min Wang, Li Li, Houqiang Li

CVPR 2023 Less Is More: Reducing Task and Model Complexity for 3D Point Cloud Semantic Segmentation Li Li, Hubert P. H. Shum, Toby P. Breckon

ICCV 2023 Neural Characteristic Function Learning for Conditional Image Generation Shengxi Li, Jialu Zhang, Yifei Li, Mai Xu, Xin Deng, Li Li

ICCV 2023 SimFIR: A Simple Framework for Fisheye Image Rectification with Self-Supervised Representation Learning Hao Feng, Wendi Wang, Jiajun Deng, Wengang Zhou, Li Li, Houqiang Li

NeurIPS 2023 VPGTrans: Transfer Visual Prompt Generator Across LLMs Ao Zhang, Hao Fei, Yuan Yao, Wei Ji, Li Li, Zhiyuan Liu, Tat-Seng Chua

ICLR 2022 An Information Fusion Approach to Learning with Instance-Dependent Label Noise Zhimeng Jiang, Kaixiong Zhou, Zirui Liu, Li Li, Rui Chen, Soo-Hyun Choi, Xia Hu

ICLR 2022 EXACT: Scalable Graph Neural Networks Training via Extreme Activation Compression Zirui Liu, Kaixiong Zhou, Fan Yang, Li Li, Rui Chen, Xia Hu

CVPR 2022 FedDC: Federated Learning with Non-IID Data via Local Drift Decoupling and Correction Liang Gao, Huazhu Fu, Li Li, Yingwen Chen, Ming Xu, Cheng-Zhong Xu

IJCAI 2022 Table2Graph: Transforming Tabular Data to Unified Weighted Graph Kaixiong Zhou, Zirui Liu, Rui Chen, Li Li, Soo-Hyun Choi, Xia Hu

NeurIPS 2021 Dirichlet Energy Constrained Learning for Deep Graph Neural Networks Kaixiong Zhou, Xiao Huang, Daochen Zha, Rui Chen, Li Li, Soo-Hyun Choi, Xia Hu

AAAI 2021 Melodic Phrase Attention Network for Symbolic Data-Based Music Genre Classification (Student Abstract) Li Li, Rui Zhang, Zhenyu Wang

ICLR 2021 Scaling Symbolic Methods Using Gradients for Neural Model Explanation Subham Sekhar Sahoo, Subhashini Venugopalan, Li Li, Rishabh Singh, Patrick Riley

NeurIPS 2021 Towards Understanding Retrosynthesis by Energy-Based Models Ruoxi Sun, Hanjun Dai, Li Li, Steven Kearnes, Bo Dai

ECCV 2020 Active Crowd Counting with Limited Supervision Zhen Zhao, Miaojing Shi, Xiaoxiao Zhao, Li Li

IJCAI 2020 Can Cross Entropy Loss Be Robust to Label Noise? Lei Feng, Senlin Shu, Zhuoyi Lin, Fengmao Lv, Li Li, Bo An

JMLR 2020 Learning Data-Adaptive Non-Parametric Kernels Fanghui Liu, Xiaolin Huang, Chen Gong, Jie Yang, Li Li

CVPRW 2019 Building Explainable AI Evaluation for Autonomous Perception Chi Zhang, Biyao Shang, Ping Wei, Li Li, Yuehu Liu, Nanning Zheng

AAAI 2018 Nonlinear Pairwise Layer and Its Training for Kernel Learning Fanghui Liu, Xiaolin Huang, Chen Gong, Jie Yang, Li Li

AAAI 2016 BRBA: A Blocking-Based Association Rule Hiding Method Peng Cheng, Ivan Lee, Li Li, Kuo-Kun Tseng, Jeng-Shyang Pan

WACV 2016 Joint Point and Line Segment Matching on Wide-Baseline Stereo Images Kai Li, Jian Yao, Menghan Xia, Li Li

AAAI 2008 Generating Plans in Concurrent, Probabilistic, Over-Subscribed Domains Li Li

AAAI 2008 Generating Plans in Concurrent, Probabilistic, Over-Subscribed Domains Li Li, Nilufer Onder

JAIR 2006 Engineering a Conformant Probabilistic Planner Nilufer Onder, G. C. Whelan, Li Li