Yihan He

According to our database, Yihan He authored at least 21 papers between 2020 and 2026.

Collaborative distances:

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

2026

Linear convergence of the proximal gradient method for composite optimization under the Polyak-Łojasiewicz inequality and its variant.

Qingyuan Kong, Rujun Jiang, Yihan He

Optim. Lett., April, 2026

T2SGrid: Temporal-to-Spatial Gridification for Video Temporal Grounding.

Chaohong Guo, Yihan He, Yongwei Nie, Fei Ma, Xuemiao Xu, Chengjiang Long

CoRR, March, 2026

2025

Few-shot radar emitter signal recognition based on prototype network with filter system.

Yanping Liao, Shengwen Lin, Yihan He

J. Supercomput., August, 2025

A Novel P-bit-based Probabilistic Computing Approach for Solving the 3-D Protein Folding Problem.

Chao Fang, Yihan He, Xiao Gong, Gengchiau Liang

CoRR, February, 2025

Transformers versus the EM Algorithm in Multi-class Clustering.

Yihan He, Hong-Yu Chen, Yuan Cao, Jianqing Fan, Han Liu

CoRR, February, 2025

Transformers and Their Roles as Time Series Foundation Models.

Dennis Wu, Yihan He, Yuan Cao, Jianqing Fan, Han Liu

CoRR, February, 2025

Transformers Simulate MLE for Sequence Generation in Bayesian Networks.

Yuan Cao, Yihan He, Dennis Wu, Hong-Yu Chen, Jianqing Fan, Han Liu

CoRR, January, 2025

Learning Spectral Methods by Transformers.

Yihan He, Yuan Cao, Hong-Yu Chen, Dennis Wu, Jianqing Fan, Han Liu

CoRR, January, 2025

2024

A Universal Representation Mechanism for Multisource Remote Sensing Image.

Weili Kong, Baisen Liu, Xiaojun Bi, Yihan He

IEEE Geosci. Remote. Sens. Lett., 2024

One-Layer Transformer Provably Learns One-Nearest Neighbor In Context.

Zihao Li, Yuan Cao, Cheng Gao, Yihan He, Han Liu, Jason M. Klusowski, Jianqing Fan, Mengdi Wang

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Global Convergence in Training Large-Scale Transformers.

Cheng Gao, Yuan Cao, Zihao Li, Yihan He, Mengdi Wang, Han Liu, Jason M. Klusowski, Jianqing Fan

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Few Samples Radar Signal Recognition based on Conditional Encoding Generative Adversarial Network Model.

Yihan He, Yanping Liao, Qiang Guo

Proceedings of the 24th IEEE International Conference on Communication Technology, 2024

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