Xin, Cheng

7 publications

NeurIPS 2025 Johnson-Lindenstrauss Lemma Beyond Euclidean Geometry Chengyuan Deng, Jie Gao, Kevin Lu, Feng Luo, Cheng Xin

ICML 2025 TopInG: Topologically Interpretable Graph Learning via Persistent Rationale Filtration Cheng Xin, Fan Xu, Xin Ding, Jie Gao, Jiaxin Ding

CVPR 2024 DL3DV-10K: A Large-Scale Scene Dataset for Deep Learning-Based 3D Vision Lu Ling, Yichen Sheng, Zhi Tu, Wentian Zhao, Cheng Xin, Kun Wan, Lantao Yu, Qianyu Guo, Zixun Yu, Yawen Lu, Xuanmao Li, Xingpeng Sun, Rohan Ashok, Aniruddha Mukherjee, Hao Kang, Xiangrui Kong, Gang Hua, Tianyi Zhang, Bedrich Benes, Aniket Bera

TMLR 2024 Expressive Higher-Order Link Prediction Through Hypergraph Symmetry Breaking Simon Zhang, Cheng Xin, Tamal K. Dey

NeurIPS 2024 Neuc-MDS: Non-Euclidean Multidimensional Scaling Through Bilinear Forms Chengyuan Deng, Jie Gao, Kevin Lu, Feng Luo, Hongbin Sun, Cheng Xin

ICML 2024 Optimally Improving Cooperative Learning in a Social Setting Shahrzad Haddadan, Cheng Xin, Jie Gao

ICMLW 2023 GRIL: A $2$-Parameter Persistence Based Vectorization for Machine Learning Cheng Xin, Soham Mukherjee, Shreyas N. Samaga, Tamal K. Dey