Han Gao

According to our database, Han Gao authored at least 10 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Beyond VLM-Based Rewards: Diffusion-Native Latent Reward Modeling.

Gongye Liu, Bo Yang, Yida Zhi, Zhizhou Zhong, Lei Ke, Didan Deng, Han Gao, Yongxiang Huang, Kaihao Zhang, Hongbo Fu, Wenhan Luo

CoRR, February, 2026

vLLM-Omni: Fully Disaggregated Serving for Any-to-Any Multimodal Models.

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

CoRR, February, 2026

2025

CannyEdit: Selective Canny Control and Dual-Prompt Guidance for Training-Free Image Editing.

Weiyan Xie, Han Gao, Didan Deng, Kaican Li, April Hua Liu, Yongxiang Huang, Nevin L. Zhang

CoRR, August, 2025

2024

Visual Diagnostics of Parallel Performance in Training Large-Scale DNN Models.

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

IEEE Trans. Vis. Comput. Graph., July, 2024

Towards Efficient Visual Simplification of Computational Graphs in Deep Neural Networks.

Rusheng Pan, Zhiyong Wang, Yating Wei, Han Gao, Gongchang Ou, Caleb Chen Cao, Jingli Xu, Tong Xu, Wei Chen

IEEE Trans. Vis. Comput. Graph., July, 2024

Consistency Regularization for Domain Generalization with Logit Attribution Matching.

Han Gao, Kaican Li, Weiyan Xie, Zhi Lin, Yongxiang Huang, Luning Wang, Caleb Chen Cao, Nevin L. Zhang

Proceedings of the Uncertainty in Artificial Intelligence, 2024

2023

Interactive visual analytics of parallel training strategies for DNN models.

Zhongwei Wang, Yating Wei, Gongchang Ou, Han Gao, Haitao Yang, Yue Wang, Chen Cao, Minfeng Zhu, Wei Chen

Comput. Graph., October, 2023

A Causal Framework to Unify Common Domain Generalization Approaches.

Nevin L. Zhang, Kaican Li, Han Gao, Weiyan Xie, Zhi Lin, Zhenguo Li, Luning Wang, Yongxiang Huang

CoRR, 2023

Contrastive Domain Generalization via Logit Attribution Matching.

Han Gao, Kaican Li, Yongxiang Huang, Luning Wang, Caleb Chen Cao, Nevin L. Zhang

CoRR, 2023

2022

A Survey of Data-Driven and Knowledge-Aware eXplainable AI.

Xiao-Hui Li, Caleb Chen Cao, Yuhan Shi, Wei Bai, Han Gao, Luyu Qiu, Cong Wang, Yuanyuan Gao, Shenjia Zhang, Xun Xue, Lei Chen

IEEE Trans. Knowl. Data Eng., 2022