Li, Kaican

11 publications

TMLR 2026 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, Xiao-Hui Li, Lu Hou, Lifeng Shang, Qun Liu

UAI 2024 Consistency Regularization for Domain Generalization with Logit Attribution Matching Han Gao, Kaican Li, Weiyan Xie, Zhi Lin, Yongxiang Huang, Luning Wang, Caleb Cao, Nevin Zhang

ICMLW 2024 Dual Risk Minimization for Robust Fine-Tuning of Zero-Shot Models Kaican Li, Weiyan Xie, Ricardo Silva, Nevin L. Zhang

NeurIPS 2024 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, Nevin L. Zhang

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

NeurIPSW 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

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

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

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

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

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