Li, Peng

65 publications

CVPR 2025 AdaMMS: Model Merging for Heterogeneous Multimodal Large Language Models with Unsupervised Coefficient Optimization Yiyang Du, Xiaochen Wang, Chi Chen, Jiabo Ye, Yiru Wang, Peng Li, Ming Yan, Ji Zhang, Fei Huang, Zhifang Sui, Maosong Sun, Yang Liu

ICCV 2025 Adversarial Robust Memory-Based Continual Learner Xiaoyue Mi, Fan Tang, Zonghan Yang, Danding Wang, Juan Cao, Peng Li, Yang Liu

CVPR 2025 Align3R: Aligned Monocular Depth Estimation for Dynamic Videos Jiahao Lu, Tianyu Huang, Peng Li, Zhiyang Dou, Cheng Lin, Zhiming Cui, Zhen Dong, Sai-Kit Yeung, Wenping Wang, Yuan Liu

NeurIPS 2025 Beyond the Surface: Enhancing LLM-as-a-Judge Alignment with Human via Internal Representations Peng Lai, Jianjie Zheng, Sijie Cheng, Yun Chen, Peng Li, Yang Liu, Guanhua Chen

CVPR 2025 CoSpace: Benchmarking Continuous Space Perception Ability for Vision-Language Models Yiqi Zhu, Ziyue Wang, Can Zhang, Peng Li, Yang Liu

ICML 2025 Contrastive Private Data Synthesis via Weighted Multi-PLM Fusion Tianyuan Zou, Yang Liu, Peng Li, Yufei Xiong, Jianqing Zhang, Jingjing Liu, Xiaozhou Ye, Ye Ouyang, Ya-Qin Zhang

ICLRW 2025 Contrastive Private Data Synthesis via Weighted Multi-PLM Fusion Tianyuan Zou, Yang Liu, Peng Li, Yufei Xiong, Jianqing Zhang, Jingjing Liu, Ye Ouyang, Xiaozhou Ye, Yaqin Zhang

ICLR 2025 Earlier Tokens Contribute More: Learning Direct Preference Optimization from Temporal Decay Perspective Ruichen Shao, Bei Li, Gangao Liu, Yang Chen, ZhouXiang, Jingang Wang, Xunliang Cai, Peng Li

TMLR 2025 HoSNNs: Adversarially-Robust Homeostatic Spiking Neural Networks with Adaptive Firing Thresholds Hejia Geng, Peng Li

ICCV 2025 How Do Multimodal Large Language Models Handle Complex Multimodal Reasoning? Placing Them in an Extensible Escape Game Ziyue Wang, Yurui Dong, Fuwen Luo, Minyuan Ruan, Zhili Cheng, Chi Chen, Peng Li, Yang Liu

ICCV 2025 LVAgent: Long Video Understanding by Multi-Round Dynamical Collaboration of MLLM Agents Boyu Chen, Zhengrong Yue, Siran Chen, Zikang Wang, Yang Liu, Peng Li, Yali Wang

IJCAI 2025 MASTER: A Multi-Granularity Invariant Structure Clustering Scheme for Multi-View Clustering Suixue Wang, Shilin Zhang, Qingchen Zhang, Peng Li, Weiliang Huo

CVPR 2025 PSHuman: Photorealistic Single-Image 3D Human Reconstruction Using Cross-Scale Multiview Diffusion and Explicit Remeshing Peng Li, Wangguandong Zheng, Yuan Liu, Tao Yu, Yangguang Li, Xingqun Qi, Xiaowei Chi, Siyu Xia, Yan-Pei Cao, Wei Xue, Wenhan Luo, Yike Guo

IJCAI 2025 Semi-Clairvoyant Scheduling of Speculative Decoding Requests to Minimize LLM Inference Latency Ruixiao Li, Fahao Chen, Peng Li

NeurIPS 2025 SyncHuman: Synchronizing 2D and 3D Generative Models for Single-View Human Reconstruction Wenyue Chen, Peng Li, Wangguandong Zheng, Chengfeng Zhao, Mengfei Li, Yaolong Zhu, Zhiyang Dou, Ronggang Wang, Yuan Liu

NeurIPS 2025 TrackingWorld: World-Centric Monocular 3D Tracking of Almost All Pixels Jiahao Lu, Weitao Xiong, Jiacheng Deng, Peng Li, Tianyu Huang, Zhiyang Dou, Cheng Lin, Sai-Kit Yeung, Yuan Liu

ICLRW 2024 Agent-Pro: Learning to Evolve via Policy-Level Reflection and Optimization Wenqi Zhang, Ke Tang, Hai Wu, Mengna Wang, Yongliang Shen, Guiyang Hou, Zeqi Tan, Peng Li, Yueting Zhuang, Weiming Lu

ICML 2024 Amend to Alignment: Decoupled Prompt Tuning for Mitigating Spurious Correlation in Vision-Language Models Jie Zhang, Xiaosong Ma, Song Guo, Peng Li, Wenchao Xu, Xueyang Tang, Zicong Hong

TMLR 2024 Contrastive Learning with Consistent Representations Zihu Wang, Yu Wang, Zhuotong Chen, Hanbin Hu, Peng Li

CVPR 2024 EgoThink: Evaluating First-Person Perspective Thinking Capability of Vision-Language Models Sijie Cheng, Zhicheng Guo, Jingwen Wu, Kechen Fang, Peng Li, Huaping Liu, Yang Liu

NeurIPS 2024 Era3D: High-Resolution Multiview Diffusion Using Efficient Row-Wise Attention Peng Li, Yuan Liu, Xiaoxiao Long, Feihu Zhang, Cheng Lin, Mengfei Li, Xingqun Qi, Shanghang Zhang, Wenhan Luo, Ping Tan, Wenping Wang, Qifeng Liu, Yike Guo

TMLR 2024 Extreme Risk Mitigation in Reinforcement Learning Using Extreme Value Theory Karthik Somayaji Ns, Yu Wang, Malachi Schram, Jan Drgona, Mahantesh M Halappanavar, Frank Liu, Peng Li

ACML 2024 FedLF: Adaptive Logit Adjustment and Feature Optimization in Federated Long-Tailed Learning Xiuhua Lu, Peng Li, Xuefeng Jiang

ICML 2024 High-Dimensional Bayesian Optimization via Semi-Supervised Learning with Optimized Unlabeled Data Sampling Yuxuan Yin, Yu Wang, Peng Li

CoRL 2024 Multi-Agent Reinforcement Learning with Hybrid Action Space for Free Gait Motion Planning of Hexapod Robots Huiqiao Fu, Kaiqiang Tang, Peng Li, Guizhou Deng, Chunlin Chen

ECCV 2024 On Learning Discriminative Features from Synthesized Data for Self-Supervised Fine-Grained Visual Recognition Zihu Wang, Lingqiao Liu, Scott Ricardo Figueroa Weston, Samuel Tian, Peng Li

ICML 2024 Position: Towards Unified Alignment Between Agents, Humans, and Environment Zonghan Yang, An Liu, Zijun Liu, Kaiming Liu, Fangzhou Xiong, Yile Wang, Zeyuan Yang, Qingyuan Hu, Xinrui Chen, Zhenhe Zhang, Fuwen Luo, Zhicheng Guo, Peng Li, Yang Liu

AAAI 2024 Semi-Supervised Learning of Dynamical Systems with Neural Ordinary Differential Equations: A Teacher-Student Model Approach Yu Wang, Yuxuan Yin, Karthik Somayaji N. S., Ján Drgona, Malachi Schram, Mahantesh Halappanavar, Frank Liu, Peng Li

AAAI 2024 Set Prediction Guided by Semantic Concepts for Diverse Video Captioning Yifan Lu, Ziqi Zhang, Chunfeng Yuan, Peng Li, Yan Wang, Bing Li, Weiming Hu

ICLRW 2024 Speak It Out: Solving Symbol-Related Problems with Symbol-to-Language Conversion for Language Models Yile Wang, Sijie Cheng, Zixin Sun, Peng Li, Yang Liu

ICLRW 2024 Towards Unified Alignment Between Agents, Humans, and Environment Zonghan Yang, An Liu, Zijun Liu, Kaiming Liu, Fangzhou Xiong, Yile Wang, Zeyuan Yang, Qingyuan Hu, XinRui Chen, Zhenhe Zhang, Fuwen Luo, Zhicheng Guo, Peng Li, Yang Liu

CVPR 2024 Weakly-Supervised Emotion Transition Learning for Diverse 3D Co-Speech Gesture Generation Xingqun Qi, Jiahao Pan, Peng Li, Ruibin Yuan, Xiaowei Chi, Mengfei Li, Wenhan Luo, Wei Xue, Shanghang Zhang, Qifeng Liu, Yike Guo

AAAI 2023 AHPA: Adaptive Horizontal Pod Autoscaling Systems on Alibaba Cloud Container Service for Kubernetes Zhiqiang Zhou, Chaoli Zhang, Lingna Ma, Jing Gu, Huajie Qian, Qingsong Wen, Liang Sun, Peng Li, Zhimin Tang

AAAI 2023 AutoNF: Automated Architecture Optimization of Normalizing Flows with Unconstrained Continuous Relaxation Admitting Optimal Discrete Solution Yu Wang, Ján Drgona, Jiaxin Zhang, Karthik Somayaji Nanjangud Suryanarayana, Malachi Schram, Frank Liu, Peng Li

NeurIPS 2023 Exploiting Contextual Objects and Relations for 3D Visual Grounding Li Yang, Chunfeng Yuan, Ziqi Zhang, Zhongang Qi, Yan Xu, Wei Liu, Ying Shan, Bing Li, Weiping Yang, Peng Li, Yan Wang, Weiming Hu

ICML 2023 Improving Adversarial Robustness of Deep Equilibrium Models with Explicit Regulations Along the Neural Dynamics Zonghan Yang, Peng Li, Tianyu Pang, Yang Liu

CVPR 2023 Learning Visibility Field for Detailed 3D Human Reconstruction and Relighting Ruichen Zheng, Peng Li, Haoqian Wang, Tao Yu

ICLR 2023 Unified Detoxifying and Debiasing in Language Generation via Inference-Time Adaptive Optimization Zonghan Yang, Xiaoyuan Yi, Peng Li, Yang Liu, Xing Xie

TMLR 2023 When to Trust Aggregated Gradients: Addressing Negative Client Sampling in Federated Learning Wenkai Yang, Yankai Lin, Guangxiang Zhao, Peng Li, Jie Zhou, Xu Sun

IJCAI 2022 A Closed-Loop Perception, Decision-Making and Reasoning Mechanism for Human-like Navigation Wenqi Zhang, Kai Zhao, Peng Li, Xiao Zhu, Yongliang Shen, Yanna Ma, Yingfeng Chen, Weiming Lu

AAAI 2022 I Can Find You! Boundary-Guided Separated Attention Network for Camouflaged Object Detection Hongwei Zhu, Peng Li, Haoran Xie, Xuefeng Yan, Dong Liang, Dapeng Chen, Mingqiang Wei, Jing Qin

IJCAI 2022 Rethinking the Promotion Brought by Contrastive Learning to Semi-Supervised Node Classification Deli Chen, Yankai Lin, Lei Li, Xuancheng Ren, Peng Li, Jie Zhou, Xu Sun

AAAI 2021 Aspect-Level Sentiment-Controllable Review Generation with Mutual Learning Framework Huimin Chen, Yankai Lin, Fanchao Qi, Jinyi Hu, Peng Li, Jie Zhou, Maosong Sun

ICML 2021 Backpropagated Neighborhood Aggregation for Accurate Training of Spiking Neural Networks Yukun Yang, Wenrui Zhang, Peng Li

IJCAI 2021 Deep Reinforcement Learning for Multi-Contact Motion Planning of Hexapod Robots Huiqiao Fu, Kaiqiang Tang, Peng Li, Wenqi Zhang, Xinpeng Wang, Guizhou Deng, Tao Wang, Chunlin Chen

AAAI 2021 Guiding Non-Autoregressive Neural Machine Translation Decoding with Reordering Information Qiu Ran, Yankai Lin, Peng Li, Jie Zhou

NeurIPS 2021 Topology-Imbalance Learning for Semi-Supervised Node Classification Deli Chen, Yankai Lin, Guangxiang Zhao, Xuancheng Ren, Peng Li, Jie Zhou, Xu Sun

AAAI 2020 DMRM: A Dual-Channel Multi-Hop Reasoning Model for Visual Dialog Feilong Chen, Fandong Meng, Jiaming Xu, Peng Li, Bo Xu, Jie Zhou

AAAI 2020 Hierarchical Knowledge Squeezed Adversarial Network Compression Peng Li, Chang Shu, Yuan Xie, Yan Qu, Hui Kong

AAAI 2020 Measuring and Relieving the Over-Smoothing Problem for Graph Neural Networks from the Topological View Deli Chen, Yankai Lin, Wei Li, Peng Li, Jie Zhou, Xu Sun

AAAI 2020 Multi-Instance Multi-Label Action Recognition and Localization Based on Spatio-Temporal Pre-Trimming for Untrimmed Videos Xiaoyu Zhang, Haichao Shi, Changsheng Li, Peng Li

NeurIPS 2020 Temporal Spike Sequence Learning via Backpropagation for Deep Spiking Neural Networks Wenrui Zhang, Peng Li

IJCAI 2019 A Dual Reinforcement Learning Framework for Unsupervised Text Style Transfer Fuli Luo, Peng Li, Jie Zhou, Pengcheng Yang, Baobao Chang, Xu Sun, Zhifang Sui

CVPRW 2019 Exploiting Offset-Guided Network for Pose Estimation and Tracking Rui Zhang, Zheng Zhu, Peng Li, Rui Wu, Chaoxu Guo, Guan Huang, Hailun Xia

NeurIPS 2019 Spike-Train Level Backpropagation for Training Deep Recurrent Spiking Neural Networks Wenrui Zhang, Peng Li

CVPRW 2019 State-Aware Re-Identification Feature for Multi-Target Multi-Camera Tracking Peng Li, Jiabin Zhang, Zheng Zhu, Yanwei Li, Lu Jiang, Guan Huang

NeurIPS 2018 Hybrid Macro/Micro Level Backpropagation for Training Deep Spiking Neural Networks Yingyezhe Jin, Wenrui Zhang, Peng Li

ACML 2017 Attentive Path Combination for Knowledge Graph Completion Xiaotian Jiang, Quan Wang, Baoyuan Qi, Yongqin Qiu, Peng Li, Bin Wang

AAAI 2013 An Extended GHKM Algorithm for Inducing Lambda-SCFG Peng Li, Yang Liu, Maosong Sun

ICCV 2013 Similarity Metric Learning for Face Recognition Qiong Cao, Yiming Ying, Peng Li

ECML-PKDD 2012 Distance Metric Learning Revisited Qiong Cao, Yiming Ying, Peng Li

JMLR 2012 Distance Metric Learning with Eigenvalue Optimization Yiming Ying, Peng Li

CVPR 2009 Joint and Implicit Registration for Face Recognition Peng Li, Simon J. D. Prince

ICCV 2009 Patch-Based Within-Object Classification Jania Aghajanian, Jonathan Warrell, Simon J. D. Prince, Peng Li, Jennifer L. Rohn, Buzz Baum

CVPR 2005 Learning a Multi-Size Patch-Based Hybrid Kernel Machine Ensemble for Abnormal Region Detection in Colonoscopic Images Peng Li, Kap Luk Chan, Shankar Muthu Krishnan