Multi-modal Multi-layer Fusion Network with Average Binary Center Loss for Face Anti-spoofing. - Huafeng Kuang; Rongrong Ji; Hong Liu 009; Shengchuan Zhang; Xiaoshuai Sun; Feiyue Huang; Baochang Zhang 001 (ACM Multimedia, 2019)

Towards Robust Adversarial Training via Dual-label Supervised and Geometry Constraint. - Liujuan Cao; Huafeng Kuang; Hong Liu 009; Yan Wang 059; Baochang Zhang 001; Feiyue Huang; Yongjian Wu 001; Rongrong Ji (Int. J. Softw. Informatics, 2022)

Improving Adversarial Robustness via Information Bottleneck Distillation. - Huafeng Kuang; Hong Liu 009; Yongjian Wu 001; Shin'ichi Satoh 001; Rongrong Ji (NeurIPS, 2023)

CAT: Collaborative Adversarial Training. - Xingbin Liu; Huafeng Kuang; Xianming Lin; Yongjian Wu 001; Rongrong Ji (CoRR, 2023)

Latent Feature Relation Consistency for Adversarial Robustness. - Xingbin Liu; Huafeng Kuang; Hong Liu 009; Xianming Lin; Yongjian Wu 001; Rongrong Ji (CoRR, 2023)

DLIP: Distilling Language-Image Pre-training. - Huafeng Kuang; Jie Wu 032; Xiawu Zheng; Ming Li 010; Xuefeng Xiao 001; Rui Wang 089; Min Zheng; Rongrong Ji (CoRR, 2023)

Semantically Consistent Visual Representation for Adversarial Robustness. - Huafeng Kuang; Hong Liu 009; Yongjian Wu 001; Rongrong Ji (IEEE Trans. Inf. Forensics Secur., 2023)

ControlNet++: Improving Conditional Controls with Efficient Consistency Feedback. - Ming Li 010; Taojiannan Yang; Huafeng Kuang; Jie Wu 032; Zhaoning Wang; Xuefeng Xiao 001; Chen Chen 001 (ECCV (7), 2024)

ByteEdit: Boost, Comply and Accelerate Generative Image Editing. - Yuxi Ren; Jie Wu 030; Yanzuo Lu; Huafeng Kuang; Xin Xia 014; Xionghui Wang; Qianqian Wang; Yixing Zhu; Pan Xie; Shiyin Wang; Xuefeng Xiao 001; Yitong Wang; et al. (ECCV (3), 2024)

TreeReward: Improve Diffusion Model via Tree-Structured Feedback Learning. - Jiacheng Zhang; Jie Wu 030; Huafeng Kuang; Haiming Zhang 001; Yuxi Ren; Weifeng Chen; Manlin Zhang; Xuefeng Xiao 001; Guanbin Li (ACM Multimedia, 2024)

StealthDiffusion: Towards Evading Diffusion Forensic Detection through Diffusion Model. - Ziyin Zhou; Ke Sun 016; Zhongxi Chen; Huafeng Kuang; Xiaoshuai Sun; Rongrong Ji (ACM Multimedia, 2024)

UniFL: Improve Latent Diffusion Model via Unified Feedback Learning. - Jiacheng Zhang; Jie Wu 030; Yuxi Ren; Xin Xia 014; Huafeng Kuang; Pan Xie; Jiashi Li; Xuefeng Xiao 001; Weilin Huang; Shilei Wen; Lean Fu; Guanbin Li (NeurIPS, 2024)

ByteEdit: Boost, Comply and Accelerate Generative Image Editing. - Yuxi Ren; Jie Wu 032; Yanzuo Lu; Huafeng Kuang; Xin Xia 014; Xionghui Wang; Qianqian Wang; Yixing Zhu; Pan Xie; Shiyin Wang; Xuefeng Xiao 001; Yitong Wang; et al. (CoRR, 2024)

UniFL: Improve Stable Diffusion via Unified Feedback Learning. - Jiacheng Zhang; Jie Wu 030; Yuxi Ren; Xin Xia 014; Huafeng Kuang; Pan Xie; Jiashi Li; Xuefeng Xiao 001; Weilin Huang; Min Zheng; Lean Fu; Guanbin Li (CoRR, 2024)

TraDiffusion: Trajectory-Based Training-Free Image Generation. - Mingrui Wu; Oucheng Huang; Jiayi Ji; Jiale Li; Xinyue Cai; Huafeng Kuang; Jianzhuang Liu; Xiaoshuai Sun; Rongrong Ji (CoRR, 2024)

Defense Against Adversarial Attacks Using Topology Aligning Adversarial Training. - Huafeng Kuang; Hong Liu 009; Xianming Lin; Rongrong Ji (IEEE Trans. Inf. Forensics Secur., 2024)

Aligning Text-to-Image Diffusion Models without Human Feedback. - Tao Liu; Huafeng Kuang; Xianming Lin (ICASSP, 2025)

Seaweed-7B: Cost-Effective Training of Video Generation Foundation Model. - Team Seawead; Ceyuan Yang; Zhijie Lin 001; Yang Zhao 003; Shanchuan Lin; Zhibei Ma; Haoyuan Guo; Hao Chen; Lu Qi; Sen Wang; Feng Cheng; Feilong Zuo; et al. (CoRR, 2025)