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(co-)first author✳ corresponding author✉
2026: RLinGenAI✳(TechXiv 2026)
2025: AsynDM(ICLR 2026) Follow-Your-Preference✳✉(ICLR 2026) Follow-Your-Emoji-Faster(IJCV 2025) Hunyuan-Game(arXiv 2025)
2024: HunyuanVideo(arXiv 2024) MPL✳(IJCV 2024) Follow-Your-Canvas✳✉(AAAI 2025) Follow-Your-Emoji(SIGGRAPH-Asia 2024) Domaindiff(ICASSP 2024)
2023: HAP✳(NeurIPS 2023) MAP(ICCV 2023) NPT(KDD 2024) HTCL(KDD 2023) CAM(ICCV 2023) KDDRL(TMM 2023) MPL✳(ICCV 2023)
2022: CAE v2(TMLR 2023) CEG✳(MM 2022) ACDA(Neurocomputing 2022)
2021: DSBF✳(IJCV 2022) CSAC✳(TKDE 2023) IV-DG✳(TKDD 2023) AutoIV✳(TKDD 2022)
2020: GAPGAN✳(ECAI 2020) DeR-CFR✳(TKDE 2023)
2019: SGNs(TKDE 2021)
Reinforcement Learning in Generative Multimodal AI: A Survey
Zijing Hu✳, ✳, Kairong Han, Yunze Tong, et al.Shengyu Zhang, Fei Wu, Kun Kuang✉
TechXiv, 2026
Asynchronous Denoising Diffusion Models for Aligning Text-to-Image Generation
Zijing Hu, Yunze Tong, Fengda Zhang, , et al.Jun Xiao, and Kun Kuang✉
International Conference on Learning Representations (ICLR), 2026
Follow-Your-Preference: Towards Preference-Aligned Image Inpainting
Yutao Shen✳, ✳✉, Toru Aonishi, Hideki Nakayama, et al.and Yue Ma✉
International Conference on Learning Representations (ICLR), 2026
Sep 27, 2025 | Follow-Your-Preference | code
Follow-Your-Emoji-Faster: Towards Efficient, Fine-Controllable, and Expressive Freestyle Portrait Animation
Yue Ma✳, Zexuan Yan✳, Hongyu Liu✳, Hongfa Wang, Heng Pan, Yingqing He, , et al.Ailing Zeng, Chengfei Cai, Heung-Yeung Shum, Zhifeng Li, Wei Liu, Linfeng Zhang✉, and Qifeng Chen✉
International Journal of Computer Vision (IJCV), 2025
Sep 20, 2025 | Follow-Your-Emoji-Faster | code
Hunyuan-Game: Industrial-grade Intelligent Game Creation Model
Hunyuan Multimodal Generation Team at Tencent (as a group member)
arXiv, 2025
May 20, 2025 | Hunyuan-Game | code
HunyuanVideo: A Systematic Framework For Large Video Generative Models
Hunyuan Multimodal Generation Team at Tencent (as a group member)
arXiv, 2024
Dec 03, 2024 | HunyuanVideo | code
It introduces an open-source diffusion model for video generation, which has received over 1000 citations and over 11,000 GitHub stars (as of May 2026).
Mutual Prompt Learning for Vision Language Models
Sifan Long✳, Zhen Zhao✳, ✳, Zichang Tan✳, et al.Jiangjiang Liu, Jingyuan Feng, Shengsheng Wang✉, and Jingdong Wang
International Journal of Computer Vision (IJCV), 2024
Sep 26, 2024 | MPL
Follow-Your-Canvas: Higher-Resolution Video Outpainting with Extensive Content Generation
Qihua Chen✳, Yue Ma✳, Hongfa Wang✳, ✳✉, et al.Wenzhe Zhao, Qi Tian, Hongmei Wang, Shaobo Min, Qifeng Chen✉, and Wei Liu
AAAI Conference on Artificial Intelligence (AAAI), 2025
Sep 02, 2024 | Follow-Your-Canvas | code
Follow-Your-Emoji: Fine-Controllable and Expressive Freestyle Portrait Animation
Yue Ma✳, Hongyu Liu✳, Hongfa Wang✳, Heng Pan✳, Yingqing He, , et al.Ailing Zeng, Chengfei Cai, Heung-Yeung Shum, Wei Liu✉, and Qifeng Chen✉
ACM SIGGRAPH Annual Conference in Asia (SIGGRAPH-Asia), 2024
Jun 04, 2024 | Follow-Your-Emoji | code
Domaindiff: Boost Out-of-Distribution Generalization with Synthetic Data
Qiaowei Miao, , Shengyu Zhang, Fei Wu, et al.and Kun Kuang✉
International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2024
Apr 14, 2024 | Domaindiff
HAP: Structure-Aware Masked Image Modeling for Human-Centric Perception
✳, Xinyu Zhang✳✉, Hao Zhou, Jian Wang, et al.Zhongwei Qiu, Zhiyin Shao, Shaofeng Zhang, Sifan Long, and Kun Kuang✉, Kun Yao, Junyu Han, Errui Ding, Lanfen Lin, Fei Wu, and Jingdong Wang✉
Advances in Neural Information Processing Systems (NeurIPS), 2023
MAP: Towards Balanced Generalization of IID and OOD through Model-Agnostic Adapters
Min Zhang, , Yue He, Wenbin Li, et al.Zhengyu Chen, and Kun Kuang✉
International Conference on Computer Vision (ICCV), 2023
Neural Collapse Anchored Prompt Tuning for Generalizable Vision-Language Models
Didi Zhu, Zexi Li, Min Zhang, , et al.Yunfeng Shao, Jiashuo Liu, Kun Kuang✉, Yinchuan Li, and Chao Wu
ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2024
Jun 28, 2023 | NPT
Quantitatively Measuring and Contrastively Exploring Heterogeneity for Domain Generalization
Yunze Tong, , Min Zhang, Didi Zhu, et al.Keli Zhang, Fei Wu, and Kun Kuang✉
ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD), 2023
Universal Domain Adaptation via Compressive Attention Matching
Didi Zhu✳, Yinchuan Li✳, , Zexi Li, et al.Kun Kuang, and Chao Wu✉
International Conference on Computer Vision (ICCV), 2023
Apr 24, 2023 | CAM
Knowledge Distillation-Based Domain-Invariant Representation Learning for Domain Generalization
Ziwei Niu, , Xu Ma, Yingying Xu, et al.Jing Liu, Yen-Wei Chen, Ruofeng Tong, and Lanfen Lin✉
IEEE Transactions on Multimedia (TMM), 2023
Apr 05, 2023 | KDDRL
Task-Oriented Multi-Modal Mutual Leaning for Vision-Language Models
Sifan Long✳, Zhen Zhao✳, ✳, Zichang Tan, et al.Jiangjiang Liu, Luping Zhou, Shengsheng Wang✉, and Jingdong Wang✉
International Conference on Computer Vision (ICCV), 2023
Mar 30, 2023 | MPL
CAE v2: Context Autoencoder with CLIP Target
Xinyu Zhang✳, Jiahui Chen✳, , Qiang Chen, et al.Jian Wang, Xiaodi Wang, Shumin Han, Xiaokang Chen, Jimin Pi, Kun Yao, Junyu Han, Errui Ding, and Jingdong Wang✉
Transactions on Machine Learning Research (TMLR), 2023
Label-Efficient Domain Generalization via Collaborative Exploration and Generalization
✳, Xu Ma✳, Defang Chen, Kun Kuang✉, et al.Fei Wu, and Lanfen Lin
International Conference on Multimedia (MM), 2022
Attention-based Cross-Layer Domain Alignment for Unsupervised Domain Adaptation
Xu Ma, , Yen-Wei Chen, Ruofeng Tong, et al.and Lanfen Lin✉
Neurocomputing, 2022
Feb 27, 2022 | ACDA
Domain-Specific Bias Filtering for Single Labeled Domain Generalization
✳, Xu Ma✳, Defang Chen, Kun Kuang✉, et al.Fei Wu, and Lanfen Lin
International Journal of Computer Vision (IJCV), 2022
Collaborative Semantic Aggregation and Calibration for Federated Domain Generalization
✳, Xu Ma✳, Defang Chen, Fei Wu, et al.Lanfen Lin, and Kun Kuang✉
IEEE Transactions on Knowledge and Data Engineering (TKDE), 2023
Instrumental Variable-Driven Domain Generalization with Unobserved Confounders
, Xu Ma, Kun Kuang✉, Ruoxuan Xiong, et al.Mingming Gong, and Lanfen Lin
ACM Transactions on Knowledge Discovery from Data (TKDD), 2023
Oct 04, 2021 | IV-DG
AutoIV: Counterfactual Prediction via Automatic Instrumental Variable Decomposition
✳, Anpeng Wu✳, Kun Kuang✉, Bo Li, et al.Runze Wu, Fei Wu, and Lanfen Lin
ACM Transactions on Knowledge Discovery from Data (TKDD), 2022
Black-Box Adversarial Attacks Against Deep Learning Based Malware Binaries Detection with GAN
, Shaofang Zhou, Lanfen Lin✉, Feng Wang, et al.and Jia Cui
European Conference on Artificial Intelligence (ECAI), 2020
Aug 29, 2020 | GAPGAN
Learning Decomposed Representation for Counterfactual Inference
Anpeng Wu✳, ✳, Kun Kuang✉, Bo Li✉, et al.Runze Wu, Qiang Zhu, Yueting Zhuang, and Fei Wu
IEEE Transactions on Knowledge and Data Engineering (TKDE), 2023