Li, Chenglin

30 publications

ICML 2025 FedSMU: Communication-Efficient and Generalization-Enhanced Federated Learning Through Symbolic Model Updates Xinyi Lu, Hao Zhang, Chenglin Li, Weijia Lu, Zhifei Yang, Wenrui Dai, Xiaodong Zhang, Xiaofeng Ma, Can Zhang, Junni Zou, Hongkai Xiong

CVPR 2025 HiPART: Hierarchical Pose AutoRegressive Transformer for Occluded 3D Human Pose Estimation Hongwei Zheng, Han Li, Wenrui Dai, Ziyang Zheng, Chenglin Li, Junni Zou, Hongkai Xiong

ICML 2025 LBI-FL: Low-Bit Integerized Federated Learning with Temporally Dynamic Bit-Width Allocation Li Ding, Hao Zhang, Wenrui Dai, Chenglin Li, Weijia Lu, Zhifei Yang, Xiaodong Zhang, Xiaofeng Ma, Junni Zou, Hongkai Xiong

ICCV 2025 METEOR: Multi-Encoder Collaborative Token Pruning for Efficient Vision Language Models Yuchen Liu, Yaoming Wang, Bowen Shi, Xiaopeng Zhang, Wenrui Dai, Chenglin Li, Hongkai Xiong, Qi Tian

ICML 2025 Noise Conditional Variational Score Distillation Xinyu Peng, Ziyang Zheng, Yaoming Wang, Han Li, Nuowen Kan, Wenrui Dai, Chenglin Li, Junni Zou, Hongkai Xiong

ICLR 2025 On Disentangled Training for Nonlinear Transform in Learned Image Compression Han Li, Shaohui Li, Wenrui Dai, Maida Cao, Nuowen Kan, Chenglin Li, Junni Zou, Hongkai Xiong

NeurIPS 2025 RelationAdapter: Learning and Transferring Visual Relation with Diffusion Transformers Yan Gong, Yiren Song, Yicheng Li, Chenglin Li, Yin Zhang

CVPR 2025 Stabilizing and Accelerating Autofocus with Expert Trajectory Regularized Deep Reinforcement Learning Shouhang Zhu, Chenglin Li, Yuankun Jiang, Li Wei, Nuowen Kan, Ziyang Zheng, Wenrui Dai, Junni Zou, Hongkai Xiong

AAAI 2025 Tilted Quantile Gradient Updates for Quantile-Constrained Reinforcement Learning Chenglin Li, Guangchun Ruan, Hua Geng

ICML 2024 AMPA: Adaptive Mixed Precision Allocation for Low-Bit Integer Training Li Ding, Wen Fei, Yuyang Huang, Shuangrui Ding, Wenrui Dai, Chenglin Li, Junni Zou, Hongkai Xiong

ICLR 2024 BarLeRIa: An Efficient Tuning Framework for Referring Image Segmentation Yaoming Wang, Jin Li, Xiaopeng Zhang, Bowen Shi, Chenglin Li, Wenrui Dai, Hongkai Xiong, Qi Tian

ICML 2024 Bootstrap AutoEncoders with Contrastive Paradigm for Self-Supervised Gaze Estimation Yaoming Wang, Jin Li, Wenrui Dai, Bowen Shi, Xiaopeng Zhang, Chenglin Li, Hongkai Xiong

ICLR 2024 Frequency-Aware Transformer for Learned Image Compression Han Li, Shaohui Li, Wenrui Dai, Chenglin Li, Junni Zou, Hongkai Xiong

ECCV 2024 Image Compression for Machine and Human Vision with Spatial-Frequency Adaptation Han Li, Shaohui Li, Shuangrui Ding, Wenrui Dai, Maida Cao, Chenglin Li, Junni Zou, Hongkai Xiong

ICML 2024 Improving Diffusion Models for Inverse Problems Using Optimal Posterior Covariance Xinyu Peng, Ziyang Zheng, Wenrui Dai, Nuoqian Xiao, Chenglin Li, Junni Zou, Hongkai Xiong

NeurIPS 2024 Improving Generalization in Federated Learning with Model-Data Mutual Information Regularization: A Posterior Inference Approach Hao Zhang, Chenglin Li, Nuowen Kan, Ziyang Zheng, Wenrui Dai, Junni Zou, Hongkai Xiong

NeurIPS 2024 MC-DiT: Contextual Enhancement via Clean-to-Clean Reconstruction for Masked Diffusion Models Guanghao Zheng, Yuchen Liu, Wenrui Dai, Chenglin Li, Junni Zou, Hongkai Xiong

ECCV 2024 Towards Unified Representation of Invariant-Specific Features in Missing Modality Face Anti-Spoofing Guanghao Zheng, Yuchen Liu, Wenrui Dai, Chenglin Li, Junni Zou, Hongkai Xiong

CVPR 2023 Adapting Shortcut with Normalizing Flow: An Efficient Tuning Framework for Visual Recognition Yaoming Wang, Bowen Shi, Xiaopeng Zhang, Jin Li, Yuchen Liu, Wenrui Dai, Chenglin Li, Hongkai Xiong, Qi Tian

NeurIPS 2023 AiluRus: A Scalable ViT Framework for Dense Prediction Jin Li, Yaoming Wang, Xiaopeng Zhang, Bowen Shi, Dongsheng Jiang, Chenglin Li, Wenrui Dai, Hongkai Xiong, Qi Tian

NeurIPS 2023 Doubly Robust Augmented Transfer for Meta-Reinforcement Learning Yuankun Jiang, Nuowen Kan, Chenglin Li, Wenrui Dai, Junni Zou, Hongkai Xiong

ICML 2023 FedCR: Personalized Federated Learning Based on Across-Client Common Representation with Conditional Mutual Information Regularization Hao Zhang, Chenglin Li, Wenrui Dai, Junni Zou, Hongkai Xiong

AAAI 2023 Pose-Oriented Transformer with Uncertainty-Guided Refinement for 2D-to-3D Human Pose Estimation Han Li, Bowen Shi, Wenrui Dai, Hongwei Zheng, Botao Wang, Yu Sun, Min Guo, Chenglin Li, Junni Zou, Hongkai Xiong

ICLR 2023 Progressively Compressed Auto-Encoder for Self-Supervised Representation Learning Jin Li, Yaoming Wang, Xiaopeng Zhang, Yabo Chen, Dongsheng Jiang, Wenrui Dai, Chenglin Li, Hongkai Xiong, Qi Tian

CVPR 2023 Promoting Semantic Connectivity: Dual Nearest Neighbors Contrastive Learning for Unsupervised Domain Generalization Yuchen Liu, Yaoming Wang, Yabo Chen, Wenrui Dai, Chenglin Li, Junni Zou, Hongkai Xiong

NeurIPSW 2023 scBiGNN: Bilevel Graph Representation Learning for Cell Type Classification from Single-Cell RNA Sequencing Data Rui Yang, Wenrui Dai, Chenglin Li, Junni Zou, Dapeng Wu, Hongkai Xiong

CVPR 2022 Contrastive Regression for Domain Adaptation on Gaze Estimation Yaoming Wang, Yangzhou Jiang, Jin Li, Bingbing Ni, Wenrui Dai, Chenglin Li, Hongkai Xiong, Teng Li

ICCV 2021 Learning Latent Architectural Distribution in Differentiable Neural Architecture Search via Variational Information Maximization Yaoming Wang, Yuchen Liu, Wenrui Dai, Chenglin Li, Junni Zou, Hongkai Xiong

ICML 2021 Monotonic Robust Policy Optimization with Model Discrepancy Yuankun Jiang, Chenglin Li, Wenrui Dai, Junni Zou, Hongkai Xiong

IJCAI 2020 SI-VDNAS: Semi-Implicit Variational Dropout for Hierarchical One-Shot Neural Architecture Search Yaoming Wang, Wenrui Dai, Chenglin Li, Junni Zou, Hongkai Xiong