Publications

Yang Liu, Kejia Zhang, Bingjie Yan, Tianyuan Zou, Jianqing Zhang, Zixuan Gu, Xiangsen Chen, Jianbing Ding, Xidong Wang, Jingyi Li, Xiaozhou Ye, Ye Ouyang, Qiang Yang, Ya-Qin Zhang (2026). Towards Harnessing the Collaborative Power of Large and Small Models for Domain Tasks. Preprint.

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Kejia Zhang, Keda Tao, Zhiming Luo, Chang Liu, Jiasheng Tang, Huan Wang (2026). TARS: MinMax Token-Adaptive Preference Strategy for MLLM Hallucination Reduction. ECCV.

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Xiaoyi Huang, Kejia Zhang, Zhiming Luo (2026). CHASD: Language Increment-Calibrated Contrastive Decoding against Hallucination in LVLMs. Preprint.

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Kele Shao, Keda Tao, Kejia Zhang, Sicheng Feng, Mu Cai, Yuzhang Shang, Haoxuan You, Can Qin, Yang Sui, Huan Wang (2026). A Survey of Token Compression for Efficient Multimodal Large Language Models. TMLR.

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Kejia Zhang, Keda Tao, Jiasheng Tang, Huan Wang (2025). Poison as Cure: Visual Noise for Mitigating Object Hallucinations in LVMs. NeurIPS.

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Kejia Zhang, Juanjuan Weng, Shaozi Li, Zhiming Luo (2025). Towards Adversarial Robustness via Debiased High-Confidence Logit Alignment. ICCV.

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Kejia Zhang, Juanjuan Weng, Yuanzheng Cai, Zhiming Luo, Shaozi Li (2025). Mitigating Low-Frequency Bias: Feature Recalibration and Frequency Attention Regularization for Adversarial Robustness. Neural Networks.

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Kejia Zhang, Junwei Wu, Juanjuan Weng, Guoqing Yang, Zhiming Luo, Shaozi Li (2024). Harmonizing Feature Maps: A Graph Convolutional Approach for Enhancing Adversarial Robustness. Preprint.

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Kejia Zhang, Xiao Ding, Bingbing Xiang, Haifeng Zhang, Zhongkui Bao (2024). Extracting Higher Order Topological Semantic via Motif-Based Deep Graph Neural Networks. IEEE TCSS.

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