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ORCIDYan Zhong 0001
Person information
- affiliation: Peking University, Beijing, China
- affiliation (former): University of Science and Technology of China, Hefei, China
Other persons with the same name
- Yan Zhong — disambiguation page
- Yan Zhong 0002 — Johns Hopkins University, Baltimore, MD, USA (and 1 more)
- Yan Zhong 0003
![[0000-0003-2412-043X]](https://devdomain4test.ir/img/orcid-mark.12x12.png "0000-0003-2412-043X")
— East China Normal University, Shanghai, China - Yan Zhong 0004 — National University of Defense Technology, China
- Yan Zhong 0005 — Zhuhai Institutes of Advanced Technology of the Chinese Academy of Sciences, Zhuhai, China (and 1 more)
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2020 – today
- 2026
[j10]Yuqiu Zhao, Chaohong Tan, Lei Shi, Yan Zhong, Feifei Kou, Pengfei Zhang, Wei Chen, Chen Ma:
Generative recommender systems: A comprehensive survey on model, framework, and application. Inf. Fusion 127: 103919 (2026)- [j9]Yan Zhong, Xingyu Wu, Xinping Zhao, Li Zhang, Xinyuan Song, Lei Shi, Bingbing Jiang:
Semi-supervised multi-label feature selection with consistent sparse graph learning. Neural Networks 204: 109265 (2026) - [j8]Li Zhang, Wenbo Xu, Liu Liu, Haonan Jiang, Rujing Wang, Xue Wang, Yan Zhong:
Pre-Defined Keypoints Worth It: Multi-Modal Learning for Category-Level Articulated Objects Pose Estimation. IEEE Trans Autom. Sci. Eng. 23: 8248-8262 (2026) - [j7]Haotian Liu, Guo Yu, Hu Cao, Sanqing Qu, Fan Lu, Yan Zhong, Zhichao Lu, Luziwei Leng, Guang Chen:
I2EKD: Efficient and Versatile Image-to-Event Knowledge Distillation. IEEE Trans. Circuits Syst. Video Technol. 36(1): 292-303 (2026) - [c17]Xianhui Meng, Yukang Huo, Li Zhang, Liu Liu, Haonan Jiang, Yan Zhong, Pingrui Zhang, Cewu Lu, Jun Liu:
Exploring Category-level Articulated Object Pose Tracking on SE(3) Manifolds. AAAI 2026: 8016-8024 - [c16]Yuqiu Zhao, Lei Shi, Yan Zhong, Feifei Kou, Pengfei Zhang, Jiwei Zhang, Mingying Xu, Yanchao Liu:
MusicRec: Multi-modal Semantic-Enhanced Identifier with Collaborative Signals for Generative Recommendation. AAAI 2026: 16459-16467 - [i11]Li Zhang, Mingyu Mei, Ailing Wang, Xianhui Meng, Yan Zhong, Xinyuan Song, Liu Liu, Rujing Wang, Zaixing He, Cewu Lu:
DICArt: Advancing Category-level Articulated Object Pose Estimation in Discrete State-Spaces. CoRR abs/2602.19565 (2026) - 2025
- [j6]Yan Zhong, Xinping Zhao, Guangzhi Zhao, Bohua Chen, Fei Hao, Ruoyu Zhao, Jiaqi He, Lei Shi, Li Zhang:
CTD-inpainting: Towards the Coherence of Text-driven Inpainting with Blended Diffusion. Inf. Fusion 122: 103163 (2025) - [j5]Li Zhang, Dong Li, Yan Zhong, Jiaying Zhu, Rujing Wang, Xingyu Wu, Xue Wang, Liu Liu:
Rethinking Image Forgery Detection and Localization via Regression Perspective. IEEE Trans. Emerg. Top. Comput. Intell. 9(5): 3488-3500 (2025) - [c15]Li Zhang, Haonan Jiang, Yukang Huo, Yan Zhong, Jianan Wang, Xue Wang, Rujing Wang, Liu Liu:
R^2-Art: Category-Level Articulation Pose Estimation from Single RGB Image via Cascade Render Strategy. AAAI 2025: 9985-9993 - [c14]Shuaijie Shen, Chao Wang, Renzhuo Huang, Yan Zhong, Qinghai Guo, Zhichao Lu, Jianguo Zhang, Luziwei Leng:
SpikingSSMs: Learning Long Sequences with Sparse and Parallel Spiking State Space Models. AAAI 2025: 20380-20388 - [c13]Yukang Huo, Xianhui Meng, Li Zhang, Haonan Jiang, Yan Zhong, Mingyuan Yao, Haihua Wang:
Diff-Art: Category-level Articulation Pose Estimation via Conditional Diffusion. ICME 2025: 1-6 - [c12]Yan Zhong, Chenxi Yang, Suyuan Zhao, Tingting Jiang:
Semi-Supervised Blind Quality Assessment with Confidence-quantifiable Pseudo-label Learning for Authentic Images. ICML 2025 - [c11]Wenbo Xu, Li Zhang, Liu Liu, Yan Zhong, Haonan Jiang, Xue Wang, Rujing Wang:
Pre-defined Keypoints Promote Category-level Articulation Pose Estimation via Multi-Modal Alignment. IJCAI 2025: 2125-2133 - [c10]Jianhui Wang, Yangfan He, Yan Zhong, Xinyuan Song, Jiayi Su, Yuheng Feng, Ruoyu Wang, Hongyang He, Wenyu Zhu, Xinhang Yuan, Miao Zhang, Keqin Li, Jiaqi Chen, Tianyu Shi, Xueqian Wang:
Twin Co-Adaptive Dialogue for Progressive Image Generation. ACM Multimedia 2025: 3645-3653 - [c9]Yan Zhong, Xinping Zhao, Li Zhang, Xinyuan Song, Tingting Jiang:
Adaptive Prompt Learning for Blind Image Quality Assessment with Multi-modal Mixed-datasets Training. ACM Multimedia 2025: 7453-7462 - [i10]Yichao Zhang, Ningyuan Deng, Xinyuan Song, Ziqian Bi, Tianyang Wang, Zheyu Yao, Keyu Chen, Ming Li, Qian Niu, Junyu Liu, Benji Peng, Sen Zhang, Ming Liu, Li Zhang, Xuanhe Pan, Jinlang Wang, Pohsun Feng, Yizhu Wen, Lawrence KQ Yan, Hong-Ming Tseng, Yan Zhong, Yunze Wang, Ziyuan Qin, Bowen Jing, Junjie Yang, Jun Zhou, Chia Xin Liang, Junhao Song:
Advanced Deep Learning Methods for Protein Structure Prediction and Design. CoRR abs/2503.13522 (2025) - [i9]Jianhui Wang, Yangfan He, Yan Zhong, Xinyuan Song, Jiayi Su, Yuheng Feng, Hongyang He, Wenyu Zhu, Xinhang Yuan, Kuan Lu, Menghao Huo, Miao Zhang, Keqin Li, Jiaqi Chen, Tianyu Shi, Xueqian Wang:
Twin Co-Adaptive Dialogue for Progressive Image Generation. CoRR abs/2504.14868 (2025) - [i8]Yan Zhong, Xingyu Wu, Xinping Zhao, Li Zhang, Xinyuan Song, Lei Shi, Bingbing Jiang:
Semi-Supervised Multi-Label Feature Selection with Consistent Sparse Graph Learning. CoRR abs/2505.17875 (2025) - [i7]Xianhui Meng, Yukang Huo, Li Zhang, Liu Liu, Haonan Jiang, Yan Zhong, Pingrui Zhang, Cewu Lu, Jun Liu:
Exploring Category-level Articulated Object Pose Tracking on SE(3) Manifolds. CoRR abs/2511.05996 (2025) - 2024
- [j4]Xingyu Wu, Yan Zhong, Zhaolong Ling, Jie Yang, Li Li, Weiguo Sheng, Bingbing Jiang:
Nonlinear learning method for local causal structures. Inf. Sci. 654: 119789 (2024) - [j3]Chenglong Zhang, Xinjie Zhu, Zidong Wang, Yan Zhong, Weiguo Sheng, Weiping Ding, Bingbing Jiang:
Discriminative Multi-View Fusion via Adaptive Regression. IEEE Trans. Emerg. Top. Comput. Intell. 8(6): 3821-3833 (2024) - [c8]Li Zhang, Weiqing Meng, Yan Zhong, Bin Kong, Mingliang Xu, Jianming Du, Xue Wang, Rujing Wang, Liu Liu:
U-COPE: Taking a Further Step to Universal 9D Category-Level Object Pose Estimation. ECCV (10) 2024: 254-270 - [c7]Yan Zhong, Xingyu Wu, Li Zhang, Chenxi Yang, Tingting Jiang:
Causal-IQA: Towards the Generalization of Image Quality Assessment Based on Causal Inference. ICML 2024: 61747-61762 - [c6]Xingyu Wu, Yan Zhong, Jibin Wu, Bingbing Jiang, Kay Chen Tan:
Large Language Model-Enhanced Algorithm Selection: Towards Comprehensive Algorithm Representation. IJCAI 2024: 5235-5244 - [c5]Zihao Xu, Chenglong Zhang, Zhaolong Ling, Peng Zhou, Yan Zhong, Li Li, Han Zhang, Weiguo Sheng, Bingbing Jiang:
Multi-View Semi-Supervised Feature Selection with Graph Convolutional Networks. IJCNN 2024: 1-8 - [c4]Li Zhang, Zean Han, Yan Zhong, Qiaojun Yu, Xingyu Wu, Xue Wang, Rujing Wang:
VoCAPTER: Voting-based Pose Tracking for Category-level Articulated Object via Inter-frame Priors. ACM Multimedia 2024: 8942-8951 - [c3]Li Zhang, Yan Zhong, Jianan Wang, Zhe Min, RujingWang, Liu Liu:
Rethinking 3D Convolution in $\ell_p$-norm Space. NeurIPS 2024 - [i6]Chenxi Yang, Yujia Liu, Dingquan Li, Yan Zhong, Tingting Jiang:
Beyond Score Changes: Adversarial Attack on No-Reference Image Quality Assessment from Two Perspectives. CoRR abs/2404.13277 (2024) - [i5]Xingyu Wu, Yan Zhong, Jibin Wu, Yuxiao Huang, Sheng-Hao Wu, Kay Chen Tan:
Unlock the Power of Algorithm Features: A Generalization Analysis for Algorithm Selection. CoRR abs/2405.11349 (2024) - [i4]Shuaijie Shen, Chao Wang, Renzhuo Huang, Yan Zhong, Qinghai Guo, Zhichao Lu, Jianguo Zhang, Luziwei Leng:
SpikingSSMs: Learning Long Sequences with Sparse and Parallel Spiking State Space Models. CoRR abs/2408.14909 (2024) - [i3]Yan Zhong, Ruoyu Zhao, Chao Wang, Qinghai Guo, Jianguo Zhang, Zhichao Lu, Luziwei Leng:
SPikE-SSM: A Sparse, Precise, and Efficient Spiking State Space Model for Long Sequences Learning. CoRR abs/2410.17268 (2024) - 2023
- [j2]Bingbing Jiang, Chenglong Zhang, Yan Zhong, Yi Liu, Yingwei Zhang, Xingyu Wu, Weiguo Sheng:
Adaptive collaborative fusion for multi-view semi-supervised classification. Inf. Fusion 96: 37-50 (2023) - [j1]Xingyu Wu, Bingbing Jiang, Yan Zhong, Huanhuan Chen:
Multi-Target Markov Boundary Discovery: Theory, Algorithm, and Application. IEEE Trans. Pattern Anal. Mach. Intell. 45(4): 4964-4980 (2023) - [i2]Xingyu Wu, Yan Zhong, Jibin Wu, Kay Chen Tan:
AS-LLM: When Algorithm Selection Meets Large Language Model. CoRR abs/2311.13184 (2023) - 2021
- [c2]Yan Zhong, Xingyu Wu, Bingbing Jiang, Huanhuan Chen:
Multi-Label Local-to-Global Feature Selection. IJCNN 2021: 1-8 - 2020
- [c1]Xingyu Wu, Bingbing Jiang, Yan Zhong, Huanhuan Chen:
Tolerant Markov Boundary Discovery for Feature Selection. CIKM 2020: 2261-2264 - [i1]Xingyu Wu, Bingbing Jiang, Yan Zhong, Huanhuan Chen:
Multi-label Causal Variable Discovery: Learning Common Causal Variables and Label-specific Causal Variables. CoRR abs/2011.04176 (2020)
Coauthor Index
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