He, Kunlun

9 publications

ICML 2025 DVI:A Derivative-Based Vision Network for INR Runzhao Yang, Xiaolong Wu, Zhihong Zhang, Fabian Zhang, Tingxiong Xiao, Zongren Li, Kunlun He, Jinli Suo

ICCV 2025 Deep Incomplete Multi-View Clustering with Distribution Dual-Consistency Recovery Guidance Jiaqi Jin, Siwei Wang, Zhibin Dong, Xihong Yang, Xinwang Liu, En Zhu, Kunlun He

ICCV 2025 Generalized Deep Multi-View Clustering via Causal Learning with Partially Aligned Cross-View Correspondence Xihong Yang, Siwei Wang, Jiaqi Jin, Fangdi Wang, Tianrui Liu, Yueming Jin, Xinwang Liu, En Zhu, Kunlun He

ICCV 2025 Intra-View and Inter-View Correlation Guided Multi-View Novel Class Discovery Xinhang Wan, Jiyuan Liu, Qian Qu, Suyuan Liu, Chuyu Zhang, Fangdi Wang, Xinwang Liu, En Zhu, Kunlun He

NeurIPS 2025 Towards Pre-Trained Graph Condensation via Optimal Transport Yeyu Yan, Shuai Zheng, Wenjun Hui, Xiangkai Zhu, Dong Chen, Zhenfeng Zhu, Yao Zhao, Kunlun He

NeurIPS 2024 Alleviate Anchor-Shift: Explore Blind Spots with Cross-View Reconstruction for Incomplete Multi-View Clustering Suyuan Liu, Siwei Wang, Ke Liang, Junpu Zhang, Zhibin Dong, Tianrui Liu, En Zhu, Kunlun He, Xinwang Liu

AAAI 2024 CUTS+: High-Dimensional Causal Discovery from Irregular Time-Series Yuxiao Cheng, Lianglong Li, Tingxiong Xiao, Zongren Li, Jinli Suo, Kunlun He, Qionghai Dai

ICLR 2024 CausalTime: Realistically Generated Time-Series for Benchmarking of Causal Discovery Yuxiao Cheng, Ziqian Wang, Tingxiong Xiao, Qin Zhong, Jinli Suo, Kunlun He

ICLR 2023 CUTS: Neural Causal Discovery from Irregular Time-Series Data Yuxiao Cheng, Runzhao Yang, Tingxiong Xiao, Zongren Li, Jinli Suo, Kunlun He, Qionghai Dai