Yihan He

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 11

Top Topics

Pac Learnability

Probabilistic Logic

Schottky Barrier

Top Venues

IEEE Geosci. Remote. Sens. Lett.

SIGMOD Conference

Publications

Weili Kong, Baisen Liu, Xiaojun Bi, Yihan He
A Universal Representation Mechanism for Multisource Remote Sensing Image. IEEE Geosci. Remote. Sens. Lett. 21 (2024)
Yihan He, Sheng Luo, Chao Fang, Gengchiau Liang
Ground-State Probabilistic Logic with the Simplest Binary Energy Landscape for Probabilistic Computing. CoRR (2023)
Sheng Luo, Yihan He, Baofang Cai, Xiao Gong, Gengchiau Liang
Probabilistic-Bits based on Ferroelectric Field-Effect Transistors for Stochastic Computing. CoRR (2023)
Chejian Xu, Wenhao Ding, Weijie Lyu, Zuxin Liu, Shuai Wang, Yihan He, Hanjiang Hu, Ding Zhao, Bo Li
SafeBench: A Benchmarking Platform for Safety Evaluation of Autonomous Vehicles. CoRR (2022)
Chejian Xu, Wenhao Ding, Weijie Lyu, Zuxin Liu, Shuai Wang, Yihan He, Hanjiang Hu, Ding Zhao, Bo Li
SafeBench: A Benchmarking Platform for Safety Evaluation of Autonomous Vehicles. NeurIPS (2022)
Yihan He
Achievability and Impossibility of Exact Pairwise Ranking. CoRR (2021)
Abhishek Das, Muhammed Shuaibi, Aini Palizhati, Siddharth Goyal, Aditya Grover, Adeesh Kolluru, Janice Lan, Ammar Rizvi, Anuroop Sriram, Brandon M. Wood, Devi Parikh, Zachary W. Ulissi, C. Lawrence Zitnick, Guolin Ke, Shuxin Zheng, Yu Shi, Di He, Tie-Yan Liu, Chengxuan Ying, Jiacheng You, Yihan He, Rostislav Grigoriev, Ruslan Lukin, Adel Yarullin, Max Faleev
The Open Catalyst Challenge 2021: Competition Report. NeurIPS (Competition and Demos) (2021)
Siyuan Xia, Beizhen Chang, Karl Knopf, Yihan He, Yuchao Tao, Xi He
DPGraph: A Benchmark Platform for Differentially Private Graph Analysis. SIGMOD Conference (2021)
Yihan He
PAC-Learning Uniform Ergodic Communicative Networks. CoRR (2021)
Yihan He, Joan Bruna
Multi-fidelity Stability for Graph Representation Learning. CoRR (2021)
Fangcheng Fu, Yuzheng Hu, Yihan He, Jiawei Jiang, Yingxia Shao, Ce Zhang, Bin Cui
Don't Waste Your Bits! Squeeze Activations and Gradients for Deep Neural Networks via TinyScript. ICML (2020)