Yihan He

According to our database, Yihan He authored at least 9 papers between 2020 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Ground-State Probabilistic Logic with the Simplest Binary Energy Landscape for Probabilistic Computing.

Yihan He, Sheng Luo, Chao Fang, Gengchiau Liang

CoRR, 2023

Probabilistic-Bits based on Ferroelectric Field-Effect Transistors for Stochastic Computing.

Sheng Luo, Yihan He, Baofang Cai, Xiao Gong, Gengchiau Liang

CoRR, 2023

2022

SafeBench: A Benchmarking Platform for Safety Evaluation of Autonomous Vehicles.

Chejian Xu, Wenhao Ding, Weijie Lyu, Zuxin Liu, Shuai Wang, Yihan He, Hanjiang Hu, Ding Zhao, Bo Li

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

Multi-fidelity Stability for Graph Representation Learning.

Yihan He, Joan Bruna

CoRR, 2021

PAC-Learning Uniform Ergodic Communicative Networks.

Yihan He

CoRR, 2021

Achievability and Impossibility of Exact Pairwise Ranking.

Yihan He

CoRR, 2021

DPGraph: A Benchmark Platform for Differentially Private Graph Analysis.

Siyuan Xia, Beizhen Chang, Karl Knopf, Yihan He, Yuchao Tao, Xi He

Proceedings of the SIGMOD '21: International Conference on Management of Data, 2021

The Open Catalyst Challenge 2021: Competition Report.

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

Proceedings of the NeurIPS 2021 Competitions and Demonstrations Track, 2021

2020

Don't Waste Your Bits! Squeeze Activations and Gradients for Deep Neural Networks via TinyScript.

Fangcheng Fu, Yuzheng Hu, Yihan He, Jiawei Jiang, Yingxia Shao, Ce Zhang, Bin Cui

Proceedings of the 37th International Conference on Machine Learning, 2020