An improved collaborative filtering recommendation algorithm not based on item rating. - Zhisheng Zhong; Yong Sun; Yue Wang; Pengfei Zhu; Yue Gao; Huanle Lv; Xiaolin Zhu (ICCI*CC, 2015)

Convolutional Neural Networks With Alternately Updated Clique. - Yibo Yang; Zhisheng Zhong; Tiancheng Shen; Zhouchen Lin (CVPR, 2018)

Joint Sub-bands Learning with Clique Structures for Wavelet Domain Super-Resolution. - Zhisheng Zhong; Tiancheng Shen; Yibo Yang; Zhouchen Lin; Chao Zhang 001 (NeurIPS, 2018)

Expectation-Maximization Attention Networks for Semantic Segmentation. - Xia Li 005; Zhisheng Zhong; Jianlong Wu; Yibo Yang; Zhouchen Lin; Hong Liu 008 (ICCV, 2019)

Deep Joint-Semantics Reconstructing Hashing for Large-Scale Unsupervised Cross-Modal Retrieval. - Shupeng Su; Zhisheng Zhong; Chao Zhang 001 (ICCV, 2019)

Differentiable Linearized ADMM. - Xingyu Xie; Jianlong Wu; Guangcan Liu; Zhisheng Zhong; Zhouchen Lin (ICML, 2019)

R ^2 2 -Net: Recurrent and Recursive Network for Sparse-View CT Artifacts Removal. - Tiancheng Shen; Xia Li 005; Zhisheng Zhong; Jianlong Wu; Zhouchen Lin (MICCAI (6), 2019)

ADA-Tucker: Compressing deep neural networks via adaptive dimension adjustment tucker decomposition. - Zhisheng Zhong; Fangyin Wei; Zhouchen Lin; Chao Zhang 001 (Neural Networks, 2019)

Ultra Low Bitrate Learned Image Compression by Selective Detail Decoding. - Hiroaki Akutsu; Akifumi Suzuki; Zhisheng Zhong; Kiyoharu Aizawa (CVPR Workshops, 2020)

Channel-Level Variable Quantization Network for Deep Image Compression. - Zhisheng Zhong; Hiroaki Akutsu; Kiyoharu Aizawa (IJCAI, 2020)

Improving Calibration for Long-Tailed Recognition. - Zhisheng Zhong; Jiequan Cui; Shu Liu 005; Jiaya Jia (CVPR, 2021)

Parametric Contrastive Learning. - Jiequan Cui; Zhisheng Zhong; Shu Liu 005; Bei Yu 001; Jiaya Jia (ICCV, 2021)

Rebalanced Siamese Contrastive Mining for Long-Tailed Recognition. - Zhisheng Zhong; Jiequan Cui; Eric Lo 001; Zeming Li; Jian Sun 001; Jiaya Jia (CoRR, 2022)

Region Rebalance for Long-Tailed Semantic Segmentation. - Jiequan Cui; Yuhui Yuan; Zhisheng Zhong; Zhuotao Tian; Han Hu 001; Stephen Lin 001; Jiaya Jia (CoRR, 2022)

Understanding Imbalanced Semantic Segmentation Through Neural Collapse. - Zhisheng Zhong; Jiequan Cui; Yibo Yang; Xiaoyang Wu 002; Xiaojuan Qi 001; Xiangyu Zhang 005; Jiaya Jia (CVPR, 2023)

ResLT: Residual Learning for Long-Tailed Recognition. - Jiequan Cui; Shu Liu 005; Zhuotao Tian; Zhisheng Zhong; Jiaya Jia (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Decoupled Kullback-Leibler Divergence Loss. - Jiequan Cui; Zhuotao Tian; Zhisheng Zhong; Xiaojuan Qi 001; Bei Yu 001; Hanwang Zhang (NeurIPS, 2024)

Mini-Gemini: Mining the Potential of Multi-modality Vision Language Models. - Yanwei Li; Yuechen Zhang; Chengyao Wang; Zhisheng Zhong; Yixin Chen; Ruihang Chu; Shaoteng Liu; Jiaya Jia (CoRR, 2024)

Lyra: An Efficient and Speech-Centric Framework for Omni-Cognition. - Zhisheng Zhong; Chengyao Wang; Yuqi Liu 003; Senqiao Yang; Longxiang Tang; Yuechen Zhang; Jingyao Li; Tianyuan Qu; Yanwei Li; Yukang Chen; Shaozuo Yu; Sitong Wu; et al. (CoRR, 2024)

Generalized Parametric Contrastive Learning. - Jiequan Cui; Zhisheng Zhong; Zhuotao Tian; Shu Liu 005; Bei Yu 001; Jiaya Jia (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Seg-Zero: Reasoning-Chain Guided Segmentation via Cognitive Reinforcement. - Yuqi Liu 003; Bohao Peng; Zhisheng Zhong; Zihao Yue; Fanbin Lu; Bei Yu 001; Jiaya Jia (CoRR, 2025)

STEVE: A Step Verification Pipeline for Computer-use Agent Training. - Fanbin Lu; Zhisheng Zhong; Ziqin Wei; Shu Liu 005; Chi-Wing Fu; Jiaya Jia (CoRR, 2025)

VisionReasoner: Unified Visual Perception and Reasoning via Reinforcement Learning. - Yuqi Liu 003; Tianyuan Qu; Zhisheng Zhong; Bohao Peng; Shu Liu 005; Bei Yu 001; Jiaya Jia (CoRR, 2025)

ARPO:End-to-End Policy Optimization for GUI Agents with Experience Replay. - Fanbin Lu; Zhisheng Zhong; Shu Liu 005; Chi-Wing Fu; Jiaya Jia (CoRR, 2025)