Zou, Junni

26 publications

NeurIPS 2025 Diffusion-Driven Progressive Target Manipulation for Source-Free Domain Adaptation Yuyang Huang, Yabo Chen, Junyu Zhou, Wenrui Dai, Xiaopeng Zhang, Junni Zou, Hongkai Xiong, Qi Tian

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

CVPR 2025 IM-Zero: Instance-Level Motion Controllable Video Generation in a Zero-Shot Manner Yuyang Huang, Yabo Chen, Li Ding, Xiaopeng Zhang, Wenrui Dai, Junni Zou, Hongkai Xiong, Qi Tian

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

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

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

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

ICLR 2024 Hybrid Distillation: Connecting Masked Autoencoders with Contrastive Learners Bowen Shi, Xiaopeng Zhang, Yaoming Wang, Jin Li, Wenrui Dai, Junni Zou, Hongkai Xiong, Qi Tian

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

ECCV 2024 UMG-CLIP: A Unified Multi-Granularity Vision Generalist for Open-World Understanding Bowen Shi, Peisen Zhao, Zichen Wang, Yuhang Zhang, Yaoming Wang, Jin Li, Wenrui Dai, Junni Zou, Hongkai Xiong, Qi Tian, Xiaopeng Zhang

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

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

ECCV 2022 A Transformer-Based Decoder for Semantic Segmentation with Multi-Level Context Mining Bowen Shi, Dongsheng Jiang, Xiaopeng Zhang, Han Li, Wenrui Dai, Junni Zou, Hongkai Xiong, Qi Tian

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