Improving Query Efficiency of Black-Box Adversarial Attack. - Yang Bai; Yuyuan Zeng; Yong Jiang 001; Yisen Wang 001; Shu-Tao Xia; Weiwei Guo (ECCV (25), 2020)

Training Interpretable Convolutional Neural Networks by Differentiating Class-Specific Filters. - Haoyu Liang; Zhihao Ouyang; Yuyuan Zeng; Hang Su 006; Zihao He; Shu-Tao Xia; Jun Zhu 001; Bo Zhang 010 (ECCV (2), 2020)

Corrdrop: Correlation Based Dropout for Convolutional Neural Networks. - Yuyuan Zeng; Tao Dai 001; Shu-Tao Xia (ICASSP, 2020)

Improving Adversarial Robustness via Channel-wise Activation Suppressing. - Yang Bai; Yuyuan Zeng; Yong Jiang 001; Shu-Tao Xia; Xingjun Ma; Yisen Wang 001 (ICLR, 2021)

Correlation-based structural dropout for convolutional neural networks. - Yuyuan Zeng; Tao Dai 001; Bin Chen 011; Shu-Tao Xia; Jian Lu 002 (Pattern Recognit., 2021)

Content to Node: Self-Translation Network Embedding. - Zhicheng He 001; Jie Liu 007; Yuyuan Zeng; Lai Wei; Yalou Huang (IEEE Trans. Knowl. Data Eng., 2021)

Towards Effective Image Manipulation Detection with Proposal Contrastive Learning. - Yuyuan Zeng; Bowen Zhao 003; Shanzhao Qiu; Tao Dai 001; Shu-Tao Xia (CoRR, 2022)

Query efficient black-box adversarial attack on deep neural networks. - Yang Bai; Yisen Wang 001; Yuyuan Zeng; Yong Jiang 001; Shu-Tao Xia (Pattern Recognit., 2023)

Toward Effective Image Manipulation Detection With Proposal Contrastive Learning. - Yuyuan Zeng; Bowen Zhao 003; Shanzhao Qiu; Tao Dai 001; Shu-Tao Xia (IEEE Trans. Circuits Syst. Video Technol., 2023)

Hunyuan-Large: An Open-Source MoE Model with 52 Billion Activated Parameters by Tencent. - Xingwu Sun; Yanfeng Chen; Yiqing Huang; Ruobing Xie; Jiaqi Zhu 004; Kai Zhang 033; Shuaipeng Li; Zhen Yang; Jonny Han; Xiaobo Shu; Jiahao Bu; Zhongzhi Chen; et al. (CoRR, 2024)

Hunyuan-TurboS: Advancing Large Language Models through Mamba-Transformer Synergy and Adaptive Chain-of-Thought. - Ao Liu; Botong Zhou; Can Xu; Chayse Zhou; Chenchen Zhang; Chengcheng Xu; Chenhao Wang; Decheng Wu; Dengpeng Wu; Dian Jiao; Dong Du; Dong Wang; et al. (CoRR, 2025)