CNN-based DGA Detection with High Coverage. - Shaofang Zhou; Lanfen Lin; Junkun Yuan; Feng Wang; Zhaoting Ling; Jia Cui (ISI, 2019)

Black-Box Adversarial Attacks Against Deep Learning Based Malware Binaries Detection with GAN. - Junkun Yuan; Shaofang Zhou; Lanfen Lin; Feng Wang; Jia Cui (ECAI, 2020)

Learning Decomposed Representation for Counterfactual Inference. - Anpeng Wu; Kun Kuang; Junkun Yuan; Bo Li 064; Pan Zhou; Jianrong Tao; Qiang Zhu; Yueting Zhuang; Fei Wu 001 (CoRR, 2020)

Learning Domain-Invariant Relationship with Instrumental Variable for Domain Generalization. - Junkun Yuan; Xu Ma; Kun Kuang; Ruoxuan Xiong; Mingming Gong; Lanfen Lin (CoRR, 2021)

Do We Need to Directly Access the Source Datasets for Domain Generalization? - Junkun Yuan; Xu Ma; Defang Chen 001; Kun Kuang; Fei Wu 001; Lanfen Lin (CoRR, 2021)

Subgraph Networks With Application to Structural Feature Space Expansion. - Qi Xuan 001; Jinhuan Wang; Minghao Zhao 002; Junkun Yuan; Chenbo Fu; Zhongyuan Ruan; Guanrong Chen (IEEE Trans. Knowl. Data Eng., 2021)

Label-Efficient Domain Generalization via Collaborative Exploration and Generalization. - Junkun Yuan; Xu Ma; Defang Chen 001; Kun Kuang; Fei Wu 001; Lanfen Lin (ACM Multimedia, 2022)

Domain Generalization via Contrastive Causal Learning. - Qiaowei Miao; Junkun Yuan; Kun Kuang (CoRR, 2022)

CAE v2: Context Autoencoder with CLIP Target. - Xinyu Zhang 015; Jiahui Chen; Junkun Yuan; Qiang Chen 007; Jian Wang 066; Xiaodi Wang; Shumin Han; Xiaokang Chen; Jimin Pi; Kun Yao; Junyu Han; Errui Ding; et al. (CoRR, 2022)

Attention-based cross-layer domain alignment for unsupervised domain adaptation. - Xu Ma; Junkun Yuan; Yen-Wei Chen 001; Ruofeng Tong 001; Lanfen Lin (Neurocomputing, 2022)

Auto IV: Counterfactual Prediction via Automatic Instrumental Variable Decomposition. - Junkun Yuan; Anpeng Wu; Kun Kuang; Bo Li 064; Runze Wu 001; Fei Wu 001; Lanfen Lin (ACM Trans. Knowl. Discov. Data, 2022)

Task-Oriented Multi-Modal Mutual Learning for Vision-Language Models. - Sifan Long; Zhen Zhao 001; Junkun Yuan; Zichang Tan; Jiangjiang Liu 006; Luping Zhou; Shengsheng Wang 001; Jingdong Wang 001 (ICCV, 2023)

MAP: Towards Balanced Generalization of IID and OOD through Model-Agnostic Adapters. - Min Zhang 005; Junkun Yuan; Yue He; Wenbin Li; Zhengyu Chen 001; Kun Kuang (ICCV, 2023)

Universal Domain Adaptation via Compressive Attention Matching. - Didi Zhu; Yinchuan Li; Junkun Yuan; Zexi Li 001; Kun Kuang; Chao Wu 001 (ICCV, 2023)

Quantitatively Measuring and Contrastively Exploring Heterogeneity for Domain Generalization. - Yunze Tong; Junkun Yuan; Min Zhang 005; Didi Zhu; Keli Zhang; Fei Wu 001; Kun Kuang (KDD, 2023)

HAP: Structure-Aware Masked Image Modeling for Human-Centric Perception. - Junkun Yuan; Xinyu Zhang 015; Hao Zhou 039; Jian Wang 066; Zhongwei Qiu; Zhiyin Shao; Shaofeng Zhang; Sifan Long; Kun Kuang; Kun Yao; Junyu Han; Errui Ding; et al. (NeurIPS, 2023)

Task-Oriented Multi-Modal Mutual Leaning for Vision-Language Models. - Sifan Long; Zhen Zhao 001; Junkun Yuan; Zichang Tan; Jiangjiang Liu 006; Luping Zhou; Shengsheng Wang 001; Jingdong Wang 001 (CoRR, 2023)

Universal Domain Adaptation via Compressive Attention Matching. - Didi Zhu; Yinchuan Li; Junkun Yuan; Zexi Li 001; Yunfeng Shao 001; Kun Kuang; Chao Wu 001 (CoRR, 2023)

Bridging the Gap: Neural Collapse Inspired Prompt Tuning for Generalization under Class Imbalance. - Didi Zhu; Yinchuan Li; Min Zhang 005; Junkun Yuan; Jiashuo Liu; Zexi Li 001; Kun Kuang; Chao Wu 001 (CoRR, 2023)

Domain-Specific Bias Filtering for Single Labeled Domain Generalization. - Junkun Yuan; Xu Ma; Defang Chen 001; Kun Kuang; Fei Wu 001; Lanfen Lin (Int. J. Comput. Vis., 2023)

Instrumental Variable-Driven Domain Generalization with Unobserved Confounders. - Junkun Yuan; Xu Ma; Ruoxuan Xiong; Mingming Gong; Xiangyu Liu; Fei Wu 001; Lanfen Lin; Kun Kuang (ACM Trans. Knowl. Discov. Data, 2023)

CAE v2: Context Autoencoder with CLIP Latent Alignment. - Xinyu Zhang 015; Jiahui Chen; Junkun Yuan; Qiang Chen 007; Jian Wang 066; Xiaodi Wang; Shumin Han; Xiaokang Chen; Jimin Pi; Kun Yao; Junyu Han; Errui Ding; et al. (Trans. Mach. Learn. Res., 2023)

Learning Decomposed Representations for Treatment Effect Estimation. - Anpeng Wu; Junkun Yuan; Kun Kuang; Bo Li 064; Runze Wu 001; Qiang Zhu; Yueting Zhuang; Fei Wu 001 (IEEE Trans. Knowl. Data Eng., 2023)

Collaborative Semantic Aggregation and Calibration for Federated Domain Generalization. - Junkun Yuan; Xu Ma; Defang Chen 001; Fei Wu 001; Lanfen Lin; Kun Kuang (IEEE Trans. Knowl. Data Eng., 2023)

Domaindiff: Boost out-of-Distribution Generalization with Synthetic Data. - Qiaowei Miao; Junkun Yuan; Shengyu Zhang 001; Fei Wu 001; Kun Kuang (ICASSP, 2024)

Neural Collapse Anchored Prompt Tuning for Generalizable Vision-Language Models. - Didi Zhu; Zexi Li 001; Min Zhang 005; Junkun Yuan; Jiashuo Liu; Kun Kuang; Chao Wu 001 (KDD, 2024)

Follow-Your-Emoji: Fine-Controllable and Expressive Freestyle Portrait Animation. - Yue Ma; Hongyu Liu; Hongfa Wang; Heng Pan; Yingqing He; Junkun Yuan; Ailing Zeng; Chengfei Cai; Heung-Yeung Shum; Wei Liu 005; Qifeng Chen (SIGGRAPH Asia, 2024)

Follow-Your-Canvas: Higher-Resolution Video Outpainting with Extensive Content Generation. - Qihua Chen; Yue Ma; Hongfa Wang; Junkun Yuan; Wenzhe Zhao; Qi Tian 001; Hongmei Wang; Shaobo Min; Qifeng Chen; Wei Liu 005 (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)

Knowledge Distillation-Based Domain-Invariant Representation Learning for Domain Generalization. - Ziwei Niu; Junkun Yuan; Xu Ma; Yingying Xu; Jing Liu 041; Yen-Wei Chen 001; Ruofeng Tong 001; Lanfen Lin (IEEE Trans. Multim., 2024)

Infinite-Canvas: Higher-Resolution Video Outpainting with Extensive Content Generation. - Qihua Chen; Yue Ma; Hongfa Wang; Junkun Yuan; Wenzhe Zhao; Qi Tian 001; Hongmei Wang; Shaobo Min; Qifeng Chen; Wei Liu 005 (AAAI, 2025)

Mutual Prompt Leaning for Vision Language Models. - Sifan Long; Zhen Zhao 001; Junkun Yuan; Zichang Tan; Jiangjiang Liu 006; Jingyuan Feng; Sheng-Sheng Wang 001; Jingdong Wang 001 (Int. J. Comput. Vis., 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)