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2020 – today
- 2024
[j1]Weili Kong
, Baisen Liu, Xiaojun Bi, Yihan He:
A Universal Representation Mechanism for Multisource Remote Sensing Image. IEEE Geosci. Remote. Sens. Lett. 21: 1-5 (2024)- [i7]Cheng Gao, Yuan Cao, Zihao Li, Yihan He, Mengdi Wang, Han Liu, Jason M. Klusowski, Jianqing Fan:
Global Convergence in Training Large-Scale Transformers. CoRR abs/2410.23610 (2024) - 2023
- [i6]Sheng Luo, Yihan He, Baofang Cai, Xiao Gong, Gengchiau Liang:
Probabilistic-Bits based on Ferroelectric Field-Effect Transistors for Stochastic Computing. CoRR abs/2302.02305 (2023) - [i5]Yihan He, Sheng Luo, Chao Fang, Gengchiau Liang:
Ground-State Probabilistic Logic with the Simplest Binary Energy Landscape for Probabilistic Computing. CoRR abs/2311.00410 (2023) - 2022
- [c4]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 - [i4]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 abs/2206.09682 (2022) - 2021
- [c3]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: 29-40 - [c2]Siyuan Xia, Beizhen Chang, Karl Knopf, Yihan He, Yuchao Tao, Xi He:
DPGraph: A Benchmark Platform for Differentially Private Graph Analysis. SIGMOD Conference 2021: 2808-2812 - [i3]Yihan He:
Achievability and Impossibility of Exact Pairwise Ranking. CoRR abs/2111.10021 (2021) - [i2]Yihan He:
PAC-Learning Uniform Ergodic Communicative Networks. CoRR abs/2111.10708 (2021) - [i1]Yihan He, Joan Bruna:
Multi-fidelity Stability for Graph Representation Learning. CoRR abs/2111.12865 (2021) - 2020
- [c1]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: 3304-3314
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