Multinomial Random Forests: Fill the Gap between Theoretical Consistency and Empirical Soundness. - Yiming Li 004; Jiawang Bai; Qingtao Tang; Yong Jiang 001; Chun Li; Shutao Xia (CoRR, 2019)

Rectified Decision Trees: Towards Interpretability, Compression and Empirical Soundness. - Jiawang Bai; Yiming Li 004; Jiawei Li 006; Yong Jiang 001; Shu-Tao Xia (CoRR, 2019)

Targeted Attack for Deep Hashing Based Retrieval. - Jiawang Bai; Bin Chen 011; Yiming Li 004; Dongxian Wu; Weiwei Guo; Shu-Tao Xia; En-Hui Yang (ECCV (1), 2020)

Rectified Decision Trees: Exploring the Landscape of Interpretable and Effective Machine Learning. - Yiming Li 004; Jiawang Bai; Jiawei Li 006; Xue Yang 003; Yong Jiang 001; Shu-Tao Xia (CoRR, 2020)

Open-sourced Dataset Protection via Backdoor Watermarking. - Yiming Li 004; Ziqi Zhang; Jiawang Bai; Baoyuan Wu; Yong Jiang 001; Shu-Tao Xia (CoRR, 2020)

Targeted Attack against Deep Neural Networks via Flipping Limited Weight Bits. - Jiawang Bai; Baoyuan Wu; Yong Zhang 034; Yiming Li 004; Zhifeng Li 001; Shu-Tao Xia (ICLR, 2021)

Clean-label Backdoor Attack against Deep Hashing based Retrieval. - Kuofeng Gao; Jiawang Bai; Bin Chen 011; Dongxian Wu; Shu-Tao Xia (CoRR, 2021)

Hardly Perceptible Trojan Attack Against Neural Networks with Bit Flips. - Jiawang Bai; Kuofeng Gao; Dihong Gong; Shu-Tao Xia; Zhifeng Li 001; Wei Liu 005 (ECCV (5), 2022)

Improving Vision Transformers by Revisiting High-Frequency Components. - Jiawang Bai; Li Yuan 007; Shu-Tao Xia; Shuicheng Yan; Zhifeng Li 001; Wei Liu 005 (ECCV (24), 2022)

Practical protection against video data leakage via universal adversarial head. - Jiawang Bai; Bin Chen 011; Kuofeng Gao; Xuan Wang 002; Shu-Tao Xia (Pattern Recognit., 2022)

Multinomial random forest. - Jiawang Bai; Yiming Li 004; Jiawei Li 006; Xue Yang 003; Yong Jiang 001; Shu-Tao Xia (Pattern Recognit., 2022)

Backdoor Attack on Hash-based Image Retrieval via Clean-label Data Poisoning. - Kuofeng Gao; Jiawang Bai; Bin Chen 011; Dongxian Wu; Shu-Tao Xia (BMVC, 2023)

GraphAdapter: Tuning Vision-Language Models With Dual Knowledge Graph. - Xin Li 082; Dongze Lian; Zhihe Lu; Jiawang Bai; Zhibo Chen 001; Xinchao Wang (NeurIPS, 2023)

Reliable and Efficient Evaluation of Adversarial Robustness for Deep Hashing-Based Retrieval. - Xunguang Wang; Jiawang Bai; Xinyue Xu; Xiaomeng Li (CoRR, 2023)

Can SAM Boost Video Super-Resolution? - Zhihe Lu; Zeyu Xiao; Jiawang Bai; Zhiwei Xiong; Xinchao Wang (CoRR, 2023)

A Dive into SAM Prior in Image Restoration. - Zeyu Xiao; Jiawang Bai; Zhihe Lu; Zhiwei Xiong (CoRR, 2023)

Adversarial Examples Generation for Deep Product Quantization Networks on Image Retrieval. - Bin Chen 011; Yan Feng; Tao Dai 001; Jiawang Bai; Yong Jiang 001; Shu-Tao Xia; Xuan Wang 002 (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Versatile Weight Attack via Flipping Limited Bits. - Jiawang Bai; Baoyuan Wu; Zhifeng Li 001; Shu-Tao Xia (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

BadCLIP: Trigger-Aware Prompt Learning for Backdoor Attacks on CLIP. - Jiawang Bai; Kuofeng Gao; Shaobo Min; Shu-Tao Xia; Zhifeng Li 001; Wei Liu 005 (CVPR, 2024)

Not All Prompts Are Secure: A Switchable Backdoor Attack Against Pre-trained Vision Transfomers. - Sheng Yang; Jiawang Bai; Kuofeng Gao; Yong Yang 001; Yiming Li 004; Shu-Tao Xia (CVPR, 2024)

Parameter-Efficient and Memory-Efficient Tuning for Vision Transformer: A Disentangled Approach. - Taolin Zhang 003; Jiawang Bai; Zhihe Lu; Dongze Lian; Genping Wang; Xinchao Wang; Shu-Tao Xia (ECCV (45), 2024)

Beyond Sole Strength: Customized Ensembles for Generalized Vision-Language Models. - Zhihe Lu; Jiawang Bai; Xin Li 082; Zeyu Xiao; Xinchao Wang (ICML, 2024)

Everyday Object Meets Vision-and-Language Navigation Agent via Backdoor. - Keji He; Kehan Chen; Jiawang Bai; Yan Huang 008; Qi Wu 001; Shu-Tao Xia; Liang Wang 001 (NeurIPS, 2024)

Adversarial Robustness for Visual Grounding of Multimodal Large Language Models. - Kuofeng Gao; Yang Bai; Jiawang Bai; Yong Yang 001; Shu-Tao Xia (CoRR, 2024)

Not All Prompts Are Secure: A Switchable Backdoor Attack Against Pre-trained Vision Transformers. - Sheng Yang; Jiawang Bai; Kuofeng Gao; Yong Yang 001; Yiming Li 004; Shutao Xia (CoRR, 2024)

HunyuanVideo: A Systematic Framework For Large Video Generative Models. - Weijie Kong; Qi Tian 001; Zijian Zhang 002; Rox Min; Zuozhuo Dai; Jin Zhou; Jiangfeng Xiong; Xin Li; Bo Wu; Jianwei Zhang; Kathrina Wu; Qin Lin; et al. (CoRR, 2024)

Imperceptible and Robust Backdoor Attack in 3D Point Cloud. - Kuofeng Gao; Jiawang Bai; Baoyuan Wu; Mengxi Ya; Shu-Tao Xia (IEEE Trans. Inf. Forensics Secur., 2024)

Task-to-Instance Prompt Learning for Vision-Language Models at Test Time. - Zhihe Lu; Jiawang Bai; Xin Li 082; Zeyu Xiao; Xinchao Wang (IEEE Trans. Image Process., 2025)

Towards Dataset Copyright Evasion Attack against Personalized Text-to-Image Diffusion Models. - Kuofeng Gao; Yufei Zhu; Yiming Li 004; Jiawang Bai; Yong Yang 001; Zhifeng Li 001; Shu-Tao Xia (CoRR, 2025)

Hunyuan-Game: Industrial-grade Intelligent Game Creation Model. - Ruihuang Li; Caijin Zhou; Shoujian Zheng; Jianxiang Lu; Jiabin Huang; Comi Chen; Junshu Tang; Guangzheng Xu; Jiale Tao; Hongmei Wang; Donghao Li; Wenqing Yu; et al. (CoRR, 2025)