Junkun Yuan - RankMe

45 papers A* 9A 1C 1Misc 1Journal 33

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Follow-Your-Emoji-Faster: Towards Efficient, Fine-Controllable, and Expressive Freestyle Portrait Animation. Int. J. Comput. Vis. Yue Ma, Zexuan Yan, Hongyu Liu, Hongfa Wang, Heng Pan, Yingqing He, Junkun Yuan, Ailing Zeng, Chengfei Cai, Heung-Yeung Shum, Zhifeng Li, Wei Liu, Linfeng Zhang, Qifeng Chen
2025	J	`jnl`	Asynchronous Denoising Diffusion Models for Aligning Text-to-Image Generation. CoRR Zijing Hu, Yunze Tong, Fengda Zhang, Junkun Yuan, Jun Xiao, Kun Kuang
2025	J	`jnl`	Follow-Your-Emoji-Faster: Towards Efficient, Fine-Controllable, and Expressive Freestyle Portrait Animation. CoRR Yue Ma, Zexuan Yan, Hongyu Liu, Hongfa Wang, Heng Pan, Yingqing He, Junkun Yuan, Ailing Zeng, Chengfei Cai, Heung-Yeung Shum, Zhifeng Li, Wei Liu, Linfeng Zhang, Qifeng Chen
2025	J	`jnl`	Follow-Your-Preference: Towards Preference-Aligned Image Inpainting. CoRR Yutao Shen, Junkun Yuan, Toru Aonishi, Hideki Nakayama, Yue Ma
2025	J	`jnl`	Hunyuan-Game: Industrial-grade Intelligent Game Creation Model. CoRR Ruihuang Li, Caijin Zhou, Shoujian Zheng, Jianxiang Lu, Jiabin Huang, Comi Chen, Junshu Tang, Guangzheng Xu, Jiale Tao, Hongmei Wang, Donghao Li, Wenqing Yu, Senbo Wang, Zhimin Li, Yetshuan Shi, Haoyu Yang, Yukun Wang, Wenxun Dai, Jiaqi Li, Linqing Wang, Qixun Wang, Zhiyong Xu, Yingfang Zhang, Jiangfeng Xiong, Weijie Kong, Chao Zhang, Hongxin Zhang, Qiaoling Zheng, Weiting Guo, Xinchi Deng, Yixuan Li, Renjia Wei, Yulin Jian, Duojun Huang, Xuhua Ren, Junkun Yuan, Zhengguang Zhou, Jiaxiang Cheng, Bing Ma, Shirui Huang, Jiawang Bai, Chao Li, Sihuan Lin, Yifu Sun, Yuan Zhou, Joey Wang, Qin Lin, Tianxiang Zheng, Jingmiao Yu, Jihong Zhang, Caesar Zhong, Di Wang, Yuhong Liu, Linus, Jie Jiang, Longhuang Wu, Shuai Shao, Qinglin Lu
2025	A*	`conf`	Infinite-Canvas: Higher-Resolution Video Outpainting with Extensive Content Generation. AAAI Qihua Chen, Yue Ma, Hongfa Wang, Junkun Yuan, Wenzhe Zhao, Qi Tian, Hongmei Wang, Shaobo Min, Qifeng Chen, Wei Liu
2025	J	`jnl`	Mutual Prompt Leaning for Vision Language Models. Int. J. Comput. Vis. Sifan Long, Zhen Zhao, Junkun Yuan, Zichang Tan, Jiangjiang Liu, Jingyuan Feng, Sheng-Sheng Wang, Jingdong Wang
2024	Misc	`conf`	Domaindiff: Boost out-of-Distribution Generalization with Synthetic Data. ICASSP Qiaowei Miao, Junkun Yuan, Shengyu Zhang, Fei Wu, Kun Kuang
2024	J	`jnl`	Follow-Your-Canvas: Higher-Resolution Video Outpainting with Extensive Content Generation. CoRR Qihua Chen, Yue Ma, Hongfa Wang, Junkun Yuan, Wenzhe Zhao, Qi Tian, Hongmei Wang, Shaobo Min, Qifeng Chen, Wei Liu
2024	A*	`conf`	Follow-Your-Emoji: Fine-Controllable and Expressive Freestyle Portrait Animation. SIGGRAPH Asia Yue Ma, Hongyu Liu, Hongfa Wang, Heng Pan, Yingqing He, Junkun Yuan, Ailing Zeng, Chengfei Cai, Heung-Yeung Shum, Wei Liu, Qifeng Chen
2024	J	`jnl`	Follow-Your-Emoji: Fine-Controllable and Expressive Freestyle Portrait Animation. CoRR Yue Ma, Hongyu Liu, Hongfa Wang, Heng Pan, Yingqing He, Junkun Yuan, Ailing Zeng, Chengfei Cai, Heung-Yeung Shum, Wei Liu, Qifeng Chen
2024	J	`jnl`	HunyuanVideo: A Systematic Framework For Large Video Generative Models. CoRR Weijie Kong, Qi Tian, Zijian Zhang, Rox Min, Zuozhuo Dai, Jin Zhou, Jiangfeng Xiong, Xin Li, Bo Wu, Jianwei Zhang, Kathrina Wu, Qin Lin, Junkun Yuan, Yanxin Long, Aladdin Wang, Andong Wang, Changlin Li, Duojun Huang, Fang Yang, Hao Tan, Hongmei Wang, Jacob Song, Jiawang Bai, Jianbing Wu, Jinbao Xue, Joey Wang, Kai Wang, Mengyang Liu, Pengyu Li, Shuai Li, Weiyan Wang, Wenqing Yu, Xinchi Deng, Yang Li, Yi Chen, Yutao Cui, Yuanbo Peng, Zhentao Yu, Zhiyu He, Zhiyong Xu, Zixiang Zhou, Zunnan Xu, Yangyu Tao, Qinglin Lu, Songtao Liu, Daquan Zhou, Hongfa Wang, Yong Yang, Di Wang, Yuhong Liu, Jie Jiang, Caesar Zhong
2024	J	`jnl`	Knowledge Distillation-Based Domain-Invariant Representation Learning for Domain Generalization. IEEE Trans. Multim. Ziwei Niu, Junkun Yuan, Xu Ma, Yingying Xu, Jing Liu, Yen-Wei Chen, Ruofeng Tong, Lanfen Lin
2024	A*	`conf`	Neural Collapse Anchored Prompt Tuning for Generalizable Vision-Language Models. KDD Didi Zhu, Zexi Li, Min Zhang, Junkun Yuan, Jiashuo Liu, Kun Kuang, Chao Wu
2023	J	`jnl`	Bridging the Gap: Neural Collapse Inspired Prompt Tuning for Generalization under Class Imbalance. CoRR Didi Zhu, Yinchuan Li, Min Zhang, Junkun Yuan, Jiashuo Liu, Zexi Li, Kun Kuang, Chao Wu
2023	J	`jnl`	CAE v2: Context Autoencoder with CLIP Latent Alignment. Trans. Mach. Learn. Res. Xinyu Zhang, Jiahui Chen, Junkun Yuan, Qiang Chen, Jian Wang, Xiaodi Wang, Shumin Han, Xiaokang Chen, Jimin Pi, Kun Yao, Junyu Han, Errui Ding, Jingdong Wang
2023	J	`jnl`	Collaborative Semantic Aggregation and Calibration for Federated Domain Generalization. IEEE Trans. Knowl. Data Eng. Junkun Yuan, Xu Ma, Defang Chen, Fei Wu, Lanfen Lin, Kun Kuang
2023	J	`jnl`	Domain-Specific Bias Filtering for Single Labeled Domain Generalization. Int. J. Comput. Vis. Junkun Yuan, Xu Ma, Defang Chen, Kun Kuang, Fei Wu, Lanfen Lin
2023	A*	`conf`	HAP: Structure-Aware Masked Image Modeling for Human-Centric Perception. NeurIPS Junkun Yuan, Xinyu Zhang, Hao Zhou, Jian Wang, Zhongwei Qiu, Zhiyin Shao, Shaofeng Zhang, Sifan Long, Kun Kuang, Kun Yao, Junyu Han, Errui Ding, Lanfen Lin, Fei Wu, Jingdong Wang
2023	J	`jnl`	HAP: Structure-Aware Masked Image Modeling for Human-Centric Perception. CoRR Junkun Yuan, Xinyu Zhang, Hao Zhou, Jian Wang, Zhongwei Qiu, Zhiyin Shao, Shaofeng Zhang, Sifan Long, Kun Kuang, Kun Yao, Junyu Han, Errui Ding, Lanfen Lin, Fei Wu, Jingdong Wang
2023	J	`jnl`	Instrumental Variable-Driven Domain Generalization with Unobserved Confounders. ACM Trans. Knowl. Discov. Data Junkun Yuan, Xu Ma, Ruoxuan Xiong, Mingming Gong, Xiangyu Liu, Fei Wu, Lanfen Lin, Kun Kuang
2023	J	`jnl`	Learning Decomposed Representations for Treatment Effect Estimation. IEEE Trans. Knowl. Data Eng. Anpeng Wu, Junkun Yuan, Kun Kuang, Bo Li, Runze Wu, Qiang Zhu, Yueting Zhuang, Fei Wu
2023	A*	`conf`	MAP: Towards Balanced Generalization of IID and OOD through Model-Agnostic Adapters. ICCV Min Zhang, Junkun Yuan, Yue He, Wenbin Li, Zhengyu Chen, Kun Kuang
2023	A*	`conf`	Quantitatively Measuring and Contrastively Exploring Heterogeneity for Domain Generalization. KDD Yunze Tong, Junkun Yuan, Min Zhang, Didi Zhu, Keli Zhang, Fei Wu, Kun Kuang
2023	J	`jnl`	Quantitatively Measuring and Contrastively Exploring Heterogeneity for Domain Generalization. CoRR Yunze Tong, Junkun Yuan, Min Zhang, Didi Zhu, Keli Zhang, Fei Wu, Kun Kuang
2023	J	`jnl`	Task-Oriented Multi-Modal Mutual Leaning for Vision-Language Models. CoRR Sifan Long, Zhen Zhao, Junkun Yuan, Zichang Tan, Jiangjiang Liu, Luping Zhou, Shengsheng Wang, Jingdong Wang
2023	A*	`conf`	Task-Oriented Multi-Modal Mutual Learning for Vision-Language Models. ICCV Sifan Long, Zhen Zhao, Junkun Yuan, Zichang Tan, Jiangjiang Liu, Luping Zhou, Shengsheng Wang, Jingdong Wang
2023	A*	`conf`	Universal Domain Adaptation via Compressive Attention Matching. ICCV Didi Zhu, Yinchuan Li, Junkun Yuan, Zexi Li, Kun Kuang, Chao Wu
2023	J	`jnl`	Universal Domain Adaptation via Compressive Attention Matching. CoRR Didi Zhu, Yinchuan Li, Junkun Yuan, Zexi Li, Yunfeng Shao, Kun Kuang, Chao Wu
2022	J	`jnl`	Attention-based Cross-Layer Domain Alignment for Unsupervised Domain Adaptation. CoRR Xu Ma, Junkun Yuan, Yen-Wei Chen, Ruofeng Tong, Lanfen Lin
2022	J	`jnl`	Attention-based cross-layer domain alignment for unsupervised domain adaptation. Neurocomputing Xu Ma, Junkun Yuan, Yen-Wei Chen, Ruofeng Tong, Lanfen Lin
2022	J	`jnl`	Auto IV: Counterfactual Prediction via Automatic Instrumental Variable Decomposition. ACM Trans. Knowl. Discov. Data Junkun Yuan, Anpeng Wu, Kun Kuang, Bo Li, Runze Wu, Fei Wu, Lanfen Lin
2022	J	`jnl`	CAE v2: Context Autoencoder with CLIP Target. CoRR Xinyu Zhang, Jiahui Chen, Junkun Yuan, Qiang Chen, Jian Wang, Xiaodi Wang, Shumin Han, Xiaokang Chen, Jimin Pi, Kun Yao, Junyu Han, Errui Ding, Jingdong Wang
2022	J	`jnl`	Domain Generalization via Contrastive Causal Learning. CoRR Qiaowei Miao, Junkun Yuan, Kun Kuang
2022	A*	`conf`	Label-Efficient Domain Generalization via Collaborative Exploration and Generalization. ACM Multimedia Junkun Yuan, Xu Ma, Defang Chen, Kun Kuang, Fei Wu, Lanfen Lin
2022	J	`jnl`	Label-Efficient Domain Generalization via Collaborative Exploration and Generalization. CoRR Junkun Yuan, Xu Ma, Defang Chen, Kun Kuang, Fei Wu, Lanfen Lin
2021	J	`jnl`	Auto IV: Counterfactual Prediction via Automatic Instrumental Variable Decomposition. CoRR Junkun Yuan, Anpeng Wu, Kun Kuang, Bo Li, Runze Wu, Fei Wu, Lanfen Lin
2021	J	`jnl`	Do We Need to Directly Access the Source Datasets for Domain Generalization? CoRR Junkun Yuan, Xu Ma, Defang Chen, Kun Kuang, Fei Wu, Lanfen Lin
2021	J	`jnl`	Domain-Specific Bias Filtering for Single Labeled Domain Generalization. CoRR Junkun Yuan, Xu Ma, Defang Chen, Kun Kuang, Fei Wu, Lanfen Lin
2021	J	`jnl`	Learning Domain-Invariant Relationship with Instrumental Variable for Domain Generalization. CoRR Junkun Yuan, Xu Ma, Kun Kuang, Ruoxuan Xiong, Mingming Gong, Lanfen Lin
2021	J	`jnl`	Subgraph Networks With Application to Structural Feature Space Expansion. IEEE Trans. Knowl. Data Eng. Qi Xuan, Jinhuan Wang, Minghao Zhao, Junkun Yuan, Chenbo Fu, Zhongyuan Ruan, Guanrong Chen
2020	A	`conf`	Black-Box Adversarial Attacks Against Deep Learning Based Malware Binaries Detection with GAN. ECAI Junkun Yuan, Shaofang Zhou, Lanfen Lin, Feng Wang, Jia Cui
2020	J	`jnl`	Learning Decomposed Representation for Counterfactual Inference. CoRR Anpeng Wu, Kun Kuang, Junkun Yuan, Bo Li, Pan Zhou, Jianrong Tao, Qiang Zhu, Yueting Zhuang, Fei Wu
2019	C	`conf`	CNN-based DGA Detection with High Coverage. ISI Shaofang Zhou, Lanfen Lin, Junkun Yuan, Feng Wang, Zhaoting Ling, Jia Cui
2019	J	`jnl`	Subgraph Networks with Application to Structural Feature Space Expansion. CoRR Qi Xuan, Jinhuan Wang, Minghao Zhao, Junkun Yuan, Chenbo Fu, Zhongyuan Ruan, Guanrong Chen