Xinhao Zhong

According to our database, Xinhao Zhong authored at least 16 papers between 2024 and 2026.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of three.

2026

CPC-VAR:Continual Personalized and Compositional Generation in Visual Autoregressive Models.

Junhao Li, Xinhao Zhong, Yi Sun, Yuxia Qiao, Bin Chen, Shu-Tao Xia, Yaowei Wang

CoRR, May, 2026

FlowErase-RL: Rethinking Concept Erasure as Reward Optimization in Flow Matching Models.

Yi Sun, Zhiqi Zhang, Xinhao Zhong, Yimin Zhou, Shuoyang Sun, Bin Chen, Shu-Tao Xia, Ke Xu

CoRR, May, 2026

Mistletoe: Stealthy Acceleration-Collapse Attacks on Speculative Decoding.

Shuoyang Sun, Chang Dai, Hao Fang, Kuofeng Gao, Xinhao Zhong, Yi Sun, Fan Mo, Shu-Tao Xia, Bin Chen

CoRR, May, 2026

SPREG: Structured Plan Repair with Entropy-Guided Test-Time Intervention for Large Language Model Reasoning.

Xuan Wang, Yu Ming, Xinhao Zhong, Xinyu Yu, Wenjie Wang, Shuai Chen, Wei Lin

CoRR, April, 2026

Differential Vector Erasure: Unified Training-Free Concept Erasure for Flow Matching Models.

Zhiqi Zhang, Xinhao Zhong, Yi Sun, Shuoyang Sun, Bin Chen, Shu-Tao Xia, Xuan Wang

CoRR, February, 2026

ActErase: A Training-Free Paradigm for Precise Concept Erasure via Activation Patching.

Yi Sun, Xinhao Zhong, Hongyan Li, Yimin Zhou, Junhao Li, Bin Chen, Xuan Wang

CoRR, January, 2026

2025

Closing the Safety Gap: Surgical Concept Erasure in Visual Autoregressive Models.

Xinhao Zhong, Yimin Zhou, Zhiqi Zhang, Junhao Li, Yi Sun, Bin Chen, Shu-Tao Xia, Ke Xu

CoRR, September, 2025

Rectified Decoupled Dataset Distillation: A Closer Look for Fair and Comprehensive Evaluation.

Xinhao Zhong, Shuoyang Sun, Xulin Gu, Chenyang Zhu, Bin Chen, Yaowei Wang

CoRR, September, 2025

Temporal Saliency-Guided Distillation: A Scalable Framework for Distilling Video Datasets.

Xulin Gu, Xinhao Zhong, Zhixing Wei, Yimin Zhou, Shuoyang Sun, Bin Chen, Hongpeng Wang, Yuan Luo

CoRR, May, 2025

DD-Ranking: Rethinking the Evaluation of Dataset Distillation.

Zekai Li, Xinhao Zhong, Samir Khaki, Zhiyuan Liang, Yuhao Zhou, Mingjia Shi, Ziqiao Wang, Xuanlei Zhao, Wangbo Zhao, Ziheng Qin, Mengxuan Wu, Pengfei Zhou, Haonan Wang, David Junhao Zhang, Jia-Wei Liu, Shaobo Wang, Dai Liu, Linfeng Zhang, Guang Li, Kun Wang, Zheng Zhu, Zhiheng Ma, Joey Tianyi Zhou, Jiancheng Lv, Yaochu Jin, Peihao Wang, Kaipeng Zhang, Lingjuan Lyu, Yiran Huang, Zeynep Akata, Zhiwei Deng, Xindi Wu, George Cazenavette, Yuzhang Shang, Justin Cui, Jindong Gu, Qian Zheng, Hao Ye, Shuo Wang, Xiaobo Wang, Yan Yan, Angela Yao, Mike Zheng Shou, Tianlong Chen, Hakan Bilen, Baharan Mirzasoleiman, Manolis Kellis, Konstantinos N. Plataniotis, Zhangyang Wang, Bo Zhao, Yang You, Kai Wang

CoRR, May, 2025

Information-Theoretic Point Cloud Defense: Harnessing Conditional Mutual Information Against Adversarial Attacks.

Kaiwen Zhang, Xinhao Zhong, Shuoyang Sun, Jiaxin Hong, Bin Chen, Teko Ranoka, Xuan Wang, Shutao Xia

Proceedings of the Pattern Recognition and Computer Vision - 8th Chinese Conference, 2025

Going Beyond Feature Similarity: Effective Dataset distillation based on Class-aware Conditional Mutual Information.

Xinhao Zhong, Bin Chen, Hao Fang, Xulin Gu, Shu-Tao Xia, En-Hui Yang

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Hierarchical Features Matter: A Deep Exploration of Progressive Parameterization Method for Dataset Distillation.

Xinhao Zhong, Hao Fang, Bin Chen, Xulin Gu, Meikang Qiu, Shuhan Qi, Shu-Tao Xia

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024

Efficient Dataset Distillation via Diffusion-Driven Patch Selection for Improved Generalization.

Xinhao Zhong, Shuoyang Sun, Xulin Gu, Zhaoyang Xu, Yaowei Wang, Jianlong Wu, Bin Chen

CoRR, 2024

Hierarchical Features Matter: A Deep Exploration of GAN Priors for Improved Dataset Distillation.

Xinhao Zhong, Hao Fang, Bin Chen, Xulin Gu, Tao Dai, Meikang Qiu, Shu-Tao Xia

CoRR, 2024

Collaborative Feature-Logits Contrastive Learning for Open-Set Semi-Supervised Object Detection.

Xinhao Zhong, Siyu Jiao, Yao Zhao, Yunchao Wei

Proceedings of the 6th ACM International Conference on Multimedia in Asia, 2024