Referring Image Segmentation via Recurrent Refinement Networks. - Ruiyu Li; Kaican Li; Yi-Chun Kuo; Michelle Shu; Xiaojuan Qi 001; Xiaoyong Shen; Jiaya Jia (CVPR, 2018)

Guided Collaborative Training for Pixel-Wise Semi-Supervised Learning. - Zhanghan Ke; Di Qiu; Kaican Li; Qiong Yan; Rynson W. H. Lau (ECCV (13), 2020)

Is a Green Screen Really Necessary for Real-Time Portrait Matting? - Zhanghan Ke; Kaican Li; Yurou Zhou; Qiuhua Wu; Xiangyu Mao; Qiong Yan; Rynson W. H. Lau (CoRR, 2020)

OoD-Bench: Benchmarking and Understanding Out-of-Distribution Generalization Datasets and Algorithms. - Nanyang Ye 001; Kaican Li; Lanqing Hong; Haoyue Bai 001; Yiting Chen 003; Fengwei Zhou; Zhenguo Li (CoRR, 2021)

MODNet: Real-Time Trimap-Free Portrait Matting via Objective Decomposition. - Zhanghan Ke; Jiayu Sun; Kaican Li; Qiong Yan; Rynson W. H. Lau (AAAI, 2022)

Regularization Penalty Optimization for Addressing Data Quality Variance in OoD Algorithms. - Runpeng Yu 001; Hong Zhu 003; Kaican Li; Lanqing Hong; Rui Zhang 003; Nanyang Ye 001; Shao-Lun Huang; Xiuqiang He 001 (AAAI, 2022)

OoD-Bench: Quantifying and Understanding Two Dimensions of Out-of-Distribution Generalization. - Nanyang Ye 001; Kaican Li; Haoyue Bai 001; Runpeng Yu 001; Lanqing Hong; Fengwei Zhou; Zhenguo Li; Jun Zhu 001 (CVPR, 2022)

CODA: A Real-World Road Corner Case Dataset for Object Detection in Autonomous Driving. - Kaican Li; Kai Chen 023; Haoyu Wang; Lanqing Hong; Chaoqiang Ye; Jianhua Han; Yukuai Chen; Wei Zhang 196; Chunjing Xu; Dit-Yan Yeung; Xiaodan Liang; Zhenguo Li; et al. (ECCV (38), 2022)

Certifiable Out-of-Distribution Generalization. - Nanyang Ye 001; Lin Zhu; Jia Wang; Zhaoyu Zeng; Jiayao Shao; Chensheng Peng; Bikang Pan; Kaican Li; Jun Zhu 001 (AAAI, 2023)

Contrastive Domain Generalization via Logit Attribution Matching. - Han Gao; 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; Weiyan Xie; Zhi Lin; Zhenguo Li; Luning Wang; Yongxiang Huang (CoRR, 2023)

Robustness May be More Brittle than We Think under Different Degrees of Distribution Shifts. - Kaican Li; Yifan Zhang; Lanqing Hong; Zhenguo Li; Nevin L. Zhang (CoRR, 2023)

Dual Risk Minimization: Towards Next-Level Robustness in Fine-tuning Zero-Shot Models. - Kaican Li; Weiyan Xie; Yongxiang Huang; Didan Deng; Lanqing Hong; Zhenguo Li; Ricardo Silva 001; Nevin L. Zhang (NeurIPS, 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 (UAI, 2024)

The Synergy Dilemma of Long-CoT SFT and RL: Investigating Post-Training Techniques for Reasoning VLMs. - Jierun Chen; Tiezheng Yu; Haoli Bai; Lewei Yao; Jiannan Wu; Kaican Li; Fei Mi; Chaofan Tao; Lei Zhu; Manyi Zhang; Xiaohui Li; Lu Hou 002; et al. (CoRR, 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, 2025)