Han Gao - RankMe

11 papers A 1Journal 10

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Beyond VLM-Based Rewards: Diffusion-Native Latent Reward Modeling. CoRR Gongye Liu, Bo Yang, Yida Zhi, Zhizhou Zhong, Lei Ke, Didan Deng, Han Gao, Yongxiang Huang, Kaihao Zhang, Hongbo Fu, Wenhan Luo
2026	J	`jnl`	vLLM-Omni: Fully Disaggregated Serving for Any-to-Any Multimodal Models. CoRR Peiqi Yin, Jiangyun Zhu, Han Gao, Chenguang Zheng, Yongxiang Huang, Taichang Zhou, Ruirui Yang, WeiZhi Liu, Weiqing Chen, Canlin Guo, Didan Deng, Zifeng Mo, Cong Wang, James Cheng, Roger Wang, Hongsheng Liu
2025	J	`jnl`	CannyEdit: Selective Canny Control and Dual-Prompt Guidance for Training-Free Image Editing. CoRR Weiyan Xie, Han Gao, Didan Deng, Kaican Li, April Hua Liu, Yongxiang Huang, Nevin L. Zhang
2024	A	`conf`	Consistency Regularization for Domain Generalization with Logit Attribution Matching. UAI Han Gao, Kaican Li, Weiyan Xie, Zhi Lin, Yongxiang Huang, Luning Wang, Caleb Chen Cao, Nevin L. Zhang
2024	J	`jnl`	Towards Efficient Visual Simplification of Computational Graphs in Deep Neural Networks. IEEE Trans. Vis. Comput. Graph. Rusheng Pan, Zhiyong Wang, Yating Wei, Han Gao, Gongchang Ou, Caleb Chen Cao, Jingli Xu, Tong Xu, Wei Chen
2024	J	`jnl`	Visual Diagnostics of Parallel Performance in Training Large-Scale DNN Models. IEEE Trans. Vis. Comput. Graph. Yating Wei, Zhiyong Wang, Zhongwei Wang, Yong Dai, Gongchang Ou, Han Gao, Haitao Yang, Yue Wang, Caleb Chen Cao, Luoxuan Weng, Jiaying Lu, Rongchen Zhu, Wei Chen
2023	J	`jnl`	A Causal Framework to Unify Common Domain Generalization Approaches. CoRR Nevin L. Zhang, Kaican Li, Han Gao, Weiyan Xie, Zhi Lin, Zhenguo Li, Luning Wang, Yongxiang Huang
2023	J	`jnl`	Contrastive Domain Generalization via Logit Attribution Matching. CoRR Han Gao, Kaican Li, Yongxiang Huang, Luning Wang, Caleb Chen Cao, Nevin L. Zhang
2023	J	`jnl`	Interactive visual analytics of parallel training strategies for DNN models. Comput. Graph. Zhongwei Wang, Yating Wei, Gongchang Ou, Han Gao, Haitao Yang, Yue Wang, Chen Cao, Minfeng Zhu, Wei Chen
2022	J	`jnl`	A Survey of Data-Driven and Knowledge-Aware eXplainable AI. IEEE Trans. Knowl. Data Eng. Xiao-Hui Li, Caleb Chen Cao, Yuhan Shi, Wei Bai, Han Gao, Luyu Qiu, Cong Wang, Yuanyuan Gao, Shenjia Zhang, Xun Xue, Lei Chen
2022	J	`jnl`	Towards Efficient Visual Simplification of Computational Graphs in Deep Neural Networks. CoRR Rusheng Pan, Zhiyong Wang, Yating Wei, Han Gao, Gongchang Ou, Caleb Chen Cao, Jingli Xu, Tong Xu, Wei Chen