Yan Zhong

According to our database, Yan Zhong authored at least 33 papers between 2020 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

DICArt: Advancing Category-level Articulated Object Pose Estimation in Discrete State-Spaces.

Li Zhang, Mingyu Mei, Ailing Wang, Xianhui Meng, Yan Zhong, Xinyuan Song, Liu Liu, Rujing Wang, Zaixing He, Cewu Lu

CoRR, February, 2026

I2EKD: Efficient and Versatile Image-to-Event Knowledge Distillation.

Haotian Liu, Guo Yu, Hu Cao, Sanqing Qu, Fan Lu, Yan Zhong, Zhichao Lu, Luziwei Leng, Guang Chen

IEEE Trans. Circuits Syst. Video Technol., January, 2026

Pre-Defined Keypoints Worth It: Multi-Modal Learning for Category-Level Articulated Objects Pose Estimation.

Li Zhang, Wenbo Xu, Liu Liu, Haonan Jiang, Rujing Wang, Xue Wang, Yan Zhong

IEEE Trans Autom. Sci. Eng., 2026

Exploring Category-level Articulated Object Pose Tracking on SE(3) Manifolds.

Xianhui Meng, Yukang Huo, Li Zhang, Liu Liu, Haonan Jiang, Yan Zhong, Pingrui Zhang, Cewu Lu, Jun Liu

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Rethinking Image Forgery Detection and Localization via Regression Perspective.

Li Zhang, Dong Li, Yan Zhong, Jiaying Zhu, Rujing Wang, Xingyu Wu, Xue Wang, Liu Liu

IEEE Trans. Emerg. Top. Comput. Intell., October, 2025

Semi-Supervised Multi-Label Feature Selection with Consistent Sparse Graph Learning.

Yan Zhong, Xingyu Wu, Xinping Zhao, Li Zhang, Xinyuan Song, Lei Shi, Bingbing Jiang

CoRR, May, 2025

Twin Co-Adaptive Dialogue for Progressive Image Generation.

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

CoRR, April, 2025

Advanced Deep Learning Methods for Protein Structure Prediction and Design.

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

CoRR, March, 2025

CTD-inpainting: Towards the Coherence of Text-driven Inpainting with Blended Diffusion.

Yan Zhong, Xinping Zhao, Guangzhi Zhao, Bohua Chen, Fei Hao, Ruoyu Zhao, Jiaqi He, Lei Shi, Li Zhang

Inf. Fusion, 2025

Adaptive Prompt Learning for Blind Image Quality Assessment with Multi-modal Mixed-datasets Training.

Yan Zhong, Xinping Zhao, Li Zhang, Xinyuan Song, Tingting Jiang

Proceedings of the 33rd ACM International Conference on Multimedia, 2025

Twin Co-Adaptive Dialogue for Progressive Image Generation.

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

Proceedings of the 33rd ACM International Conference on Multimedia, 2025

Pre-defined Keypoints Promote Category-level Articulation Pose Estimation via Multi-Modal Alignment.

Wenbo Xu, Li Zhang, Liu Liu, Yan Zhong, Haonan Jiang, Xue Wang, Rujing Wang

Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence, 2025

Semi-Supervised Blind Quality Assessment with Confidence-quantifiable Pseudo-label Learning for Authentic Images.

Yan Zhong, Chenxi Yang, Suyuan Zhao, Tingting Jiang

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Diff-Art: Category-level Articulation Pose Estimation via Conditional Diffusion.

Yukang Huo, Xianhui Meng, Li Zhang, Haonan Jiang, Yan Zhong, Mingyuan Yao, Haihua Wang

Proceedings of the IEEE International Conference on Multimedia and Expo, 2025

R^2-Art: Category-Level Articulation Pose Estimation from Single RGB Image via Cascade Render Strategy.

Li Zhang, Haonan Jiang, Yukang Huo, Yan Zhong, Jianan Wang, Xue Wang, Rujing Wang, Liu Liu

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

SpikingSSMs: Learning Long Sequences with Sparse and Parallel Spiking State Space Models.

Shuaijie Shen, Chao Wang, Renzhuo Huang, Yan Zhong, Qinghai Guo, Zhichao Lu, Jianguo Zhang, Luziwei Leng

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

Discriminative Multi-View Fusion via Adaptive Regression.

Chenglong Zhang, Xinjie Zhu, Zidong Wang, Yan Zhong, Weiguo Sheng, Weiping Ding, Bingbing Jiang

IEEE Trans. Emerg. Top. Comput. Intell., December, 2024

Nonlinear learning method for local causal structures.

Xingyu Wu, Yan Zhong, Zhaolong Ling, Jie Yang, Li Li, Weiguo Sheng, Bingbing Jiang

Inf. Sci., January, 2024

SPikE-SSM: A Sparse, Precise, and Efficient Spiking State Space Model for Long Sequences Learning.

Yan Zhong, Ruoyu Zhao, Chao Wang, Qinghai Guo, Jianguo Zhang, Zhichao Lu, Luziwei Leng

CoRR, 2024

Unlock the Power of Algorithm Features: A Generalization Analysis for Algorithm Selection.

Xingyu Wu, Yan Zhong, Jibin Wu, Yuxiao Huang, Sheng-Hao Wu, Kay Chen Tan

CoRR, 2024

Beyond Score Changes: Adversarial Attack on No-Reference Image Quality Assessment from Two Perspectives.

Chenxi Yang, Yujia Liu, Dingquan Li, Yan Zhong, Tingting Jiang

CoRR, 2024

Rethinking 3D Convolution in $\ell_p$-norm Space.

Li Zhang, Yan Zhong, Jianan Wang, Zhe Min, RujingWang, Liu Liu

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

VoCAPTER: Voting-based Pose Tracking for Category-level Articulated Object via Inter-frame Priors.

Li Zhang, Zean Han, Yan Zhong, Qiaojun Yu, Xingyu Wu, Xue Wang, Rujing Wang

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Multi-View Semi-Supervised Feature Selection with Graph Convolutional Networks.

Zihao Xu, Chenglong Zhang, Zhaolong Ling, Peng Zhou, Yan Zhong, Li Li, Han Zhang, Weiguo Sheng, Bingbing Jiang

Proceedings of the International Joint Conference on Neural Networks, 2024

Large Language Model-Enhanced Algorithm Selection: Towards Comprehensive Algorithm Representation.

Xingyu Wu, Yan Zhong, Jibin Wu, Bingbing Jiang, Kay Chen Tan

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Causal-IQA: Towards the Generalization of Image Quality Assessment Based on Causal Inference.

Yan Zhong, Xingyu Wu, Li Zhang, Chenxi Yang, Tingting Jiang

Proceedings of the Forty-first International Conference on Machine Learning, 2024

U-COPE: Taking a Further Step to Universal 9D Category-Level Object Pose Estimation.

Li Zhang, Weiqing Meng, Yan Zhong, Bin Kong, Mingliang Xu, Jianming Du, Xue Wang, Rujing Wang, Liu Liu

Proceedings of the Computer Vision - ECCV 2024, 2024

2023

Adaptive collaborative fusion for multi-view semi-supervised classification.

Bingbing Jiang, Chenglong Zhang, Yan Zhong, Yi Liu, Yingwei Zhang, Xingyu Wu, Weiguo Sheng

Inf. Fusion, August, 2023

Multi-Target Markov Boundary Discovery: Theory, Algorithm, and Application.

Xingyu Wu, Bingbing Jiang, Yan Zhong, Huanhuan Chen

IEEE Trans. Pattern Anal. Mach. Intell., April, 2023

AS-LLM: When Algorithm Selection Meets Large Language Model.

Xingyu Wu, Yan Zhong, Jibin Wu, Kay Chen Tan

CoRR, 2023

2021

Multi-Label Local-to-Global Feature Selection.

Yan Zhong, Xingyu Wu, Bingbing Jiang, Huanhuan Chen

Proceedings of the International Joint Conference on Neural Networks, 2021

2020

Multi-label Causal Variable Discovery: Learning Common Causal Variables and Label-specific Causal Variables.

Xingyu Wu, Bingbing Jiang, Yan Zhong, Huanhuan Chen

CoRR, 2020

Tolerant Markov Boundary Discovery for Feature Selection.

Xingyu Wu, Bingbing Jiang, Yan Zhong, Huanhuan Chen

Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020