A Survey of Data-Driven and Knowledge-Aware eXplainable AI. - Xiao-Hui Li 009; Caleb Chen Cao; Yuhan Shi; Wei Bai; Han Gao 016; Luyu Qiu; Cong Wang; Yuanyuan Gao; Shenjia Zhang; Xun Xue; Lei Chen 002 (IEEE Trans. Knowl. Data Eng., 2022)

Contrastive Domain Generalization via Logit Attribution Matching. - Han Gao 016; Kaican Li; Yongxiang Huang; Luning Wang; Caleb Chen Cao; Nevin L. Zhang (CoRR, 2023)

A Causal Framework to Unify Common Domain Generalization Approaches. - Nevin L. Zhang; Kaican Li; Han Gao 016; Weiyan Xie; Zhi Lin; Zhenguo Li; Luning Wang; Yongxiang Huang (CoRR, 2023)

Interactive visual analytics of parallel training strategies for DNN models. - Zhongwei Wang; Yating Wei; Gongchang Ou; Han Gao 016; Haitao Yang; Yue Wang; Chen Cao; Minfeng Zhu 001; Wei Chen 001 (Comput. Graph., 2023)

Consistency Regularization for Domain Generalization with Logit Attribution Matching. - Han Gao 016; Kaican Li; Weiyan Xie; Zhi Lin; Yongxiang Huang; Luning Wang; Caleb Chen Cao; Nevin L. Zhang (UAI, 2024)

Towards Efficient Visual Simplification of Computational Graphs in Deep Neural Networks. - Rusheng Pan; Zhiyong Wang; Yating Wei; Han Gao 016; Gongchang Ou; Caleb Chen Cao; Jingli Xu; Tong Xu 001; Wei Chen 001 (IEEE Trans. Vis. Comput. Graph., 2024)

Visual Diagnostics of Parallel Performance in Training Large-Scale DNN Models. - Yating Wei; Zhiyong Wang; Zhongwei Wang; Yong Dai; Gongchang Ou; Han Gao 016; Haitao Yang; Yue Wang; Caleb Chen Cao; Luoxuan Weng; Jiaying Lu 005; Rongchen Zhu; et al. (IEEE Trans. Vis. Comput. Graph., 2024)

CannyEdit: Selective Canny Control and Dual-Prompt Guidance for Training-Free Image Editing. - Weiyan Xie; Han Gao 016; Didan Deng; Kaican Li; April Hua Liu; Yongxiang Huang; Nevin L. Zhang (CoRR, 2025)