Kaican Li - RankMe

23 papers A* 6A 1Journal 14Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	OoDBench+: Quantifying and Understanding Two Dimensions of Out-of-Distribution Generalization. IEEE Trans. Pattern Anal. Mach. Intell. Nanyang Ye, Kaican Li, Fan Wu, Jundong Zhou, Haoyue Bai, Runpeng Yu, Lanqing Hong, Fengwei Zhou, Zhenguo Li, Jun Zhu, Xinbing Wang, Chenghu Zhou
2026	J	`jnl`	The Synergy Dilemma of Long-CoT SFT and RL: Investigating Post-Training Techniques for Reasoning VLMs. Trans. Mach. Learn. Res. 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
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
2025	J	`jnl`	InSight-o3: Empowering Multimodal Foundation Models with Generalized Visual Search. CoRR Kaican Li, Lewei Yao, Jiannan Wu, Tiezheng Yu, Jierun Chen, Haoli Bai, Lu Hou, Lanqing Hong, Wei Zhang, Nevin L. Zhang
2025	J	`jnl`	The Synergy Dilemma of Long-CoT SFT and RL: Investigating Post-Training Techniques for Reasoning VLMs. CoRR Jierun Chen, Tiezheng Yu, Haoli Bai, Lewei Yao, Jiannan Wu, Kaican Li, Fei Mi, Chaofan Tao, Lei Zhu, Manyi Zhang, Xiaohui Li, Lu Hou, Lifeng Shang, Qun Liu
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	A*	`conf`	Dual Risk Minimization: Towards Next-Level Robustness in Fine-tuning Zero-Shot Models. NeurIPS Kaican Li, Weiyan Xie, Yongxiang Huang, Didan Deng, Lanqing Hong, Zhenguo Li, Ricardo Silva, Nevin L. Zhang
2024	J	`jnl`	Dual Risk Minimization: Towards Next-Level Robustness in Fine-tuning Zero-Shot Models. CoRR Kaican Li, Weiyan Xie, Yongxiang Huang, Didan Deng, Lanqing Hong, Zhenguo Li, Ricardo Silva, Nevin L. Zhang
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	A*	`conf`	Certifiable Out-of-Distribution Generalization. AAAI Nanyang Ye, Lin Zhu, Jia Wang, Zhaoyu Zeng, Jiayao Shao, Chensheng Peng, Bikang Pan, Kaican Li, Jun Zhu
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`	Robustness May be More Brittle than We Think under Different Degrees of Distribution Shifts. CoRR Kaican Li, Yifan Zhang, Lanqing Hong, Zhenguo Li, Nevin L. Zhang
2022	—	`conf`	CODA: A Real-World Road Corner Case Dataset for Object Detection in Autonomous Driving. ECCV (38) 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
2022	J	`jnl`	CODA: A Real-World Road Corner Case Dataset for Object Detection in Autonomous Driving. CoRR 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
2022	A*	`conf`	MODNet: Real-Time Trimap-Free Portrait Matting via Objective Decomposition. AAAI Zhanghan Ke, Jiayu Sun, Kaican Li, Qiong Yan, Rynson W. H. Lau
2022	A*	`conf`	OoD-Bench: Quantifying and Understanding Two Dimensions of Out-of-Distribution Generalization. CVPR Nanyang Ye, Kaican Li, Haoyue Bai, Runpeng Yu, Lanqing Hong, Fengwei Zhou, Zhenguo Li, Jun Zhu
2022	A*	`conf`	Regularization Penalty Optimization for Addressing Data Quality Variance in OoD Algorithms. AAAI Runpeng Yu, Hong Zhu, Kaican Li, Lanqing Hong, Rui Zhang, Nanyang Ye, Shao-Lun Huang, Xiuqiang He
2022	J	`jnl`	Regularization Penalty Optimization for Addressing Data Quality Variance in OoD Algorithms. CoRR Runpeng Yu, Hong Zhu, Kaican Li, Lanqing Hong, Rui Zhang, Nanyang Ye, Shao-Lun Huang, Xiuqiang He
2021	J	`jnl`	OoD-Bench: Benchmarking and Understanding Out-of-Distribution Generalization Datasets and Algorithms. CoRR Nanyang Ye, Kaican Li, Lanqing Hong, Haoyue Bai, Yiting Chen, Fengwei Zhou, Zhenguo Li
2020	—	`conf`	Guided Collaborative Training for Pixel-Wise Semi-Supervised Learning. ECCV (13) Zhanghan Ke, Di Qiu, Kaican Li, Qiong Yan, Rynson W. H. Lau
2020	J	`jnl`	Guided Collaborative Training for Pixel-wise Semi-Supervised Learning. CoRR Zhanghan Ke, Di Qiu, Kaican Li, Qiong Yan, Rynson W. H. Lau
2020	J	`jnl`	Is a Green Screen Really Necessary for Real-Time Portrait Matting? CoRR Zhanghan Ke, Kaican Li, Yurou Zhou, Qiuhua Wu, Xiangyu Mao, Qiong Yan, Rynson W. H. Lau
2018	A*	`conf`	Referring Image Segmentation via Recurrent Refinement Networks. CVPR Ruiyu Li, Kaican Li, Yi-Chun Kuo, Michelle Shu, Xiaojuan Qi, Xiaoyong Shen, Jiaya Jia