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ORCIDYang Zhao 0016
Person information
- affiliation: Tsinghua University, Department of Electronic Engineering, Beijing, China
Other persons with the same name
- Yang Zhao — disambiguation page
- Yang Zhao 0001 — Duke University, Department of Electrical and Computer Engineering, Durham, NC, USA (and 1 more)
- Yang Zhao 0002
![[0000-0002-4032-8049]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0002-4032-8049")
— Hefei University of Technology, School of Computer and Information, China (and 2 more) - Yang Zhao 0003 — National University of Defense Technology, College of Computer / National Laboratory for Parallel and Distributed Processing, Changsha, China
- Yang Zhao 0004 — China Mobile Research Institute, Department of Fundamental Network Technology, Beijing, China (and 1 more)
- Yang Zhao 0005 — Nanjing Normal University, School of Electrical and Automation Engineering, China
- Yang Zhao 0006 — Xiamen University, Department of Mechanical and Electrical Engineering, China
- Yang Zhao 0007 — Nanjing University of Science and Technology, School of Mechanical Engineering, China (and 1 more)
- Yang Zhao 0008 — Wuhan University, School of Information Management, China
- Yang Zhao 0009 — Sun Yat-Sen University, School of Public Health (Shenzhen), Guangzhou, China (and 1 more)
- Yang Zhao 0010 — Chinese Academy of Meteorological Sciences, State Key Laboratory of Severe Weather, Beijing, China (and 1 more)
- Yang Zhao 0011 — University of California, Riverside, USA
- Yang Zhao 0012 — China University of Petroleum, College of Information Science and Engineering, Beijing
- Yang Zhao 0013 (aka: Yang Katie Zhao) — Georgia Institute of Technology, Atlanta, GA, USA (and 2 more)
- Yang Zhao 0014 — Shenzhen University, China
- Yang Zhao 0015 — National University of Defense Technology, College of Advanced Interdisciplinary Studies, Changsha, China
- Yang Zhao 0017 — Nanyang Technological University, Singapore
- Yang Zhao 0018 — Kyoto University, Japan
- Yang Zhao 0019 — La Trobe University, VIC, Australia
- Yang Zhao 0020 — Harbin Institute of Technology, Shenzhen, China
- Yang Zhao 0021 — Northwestern Polytechnical University, School of Artificial Intelligence, OPtics and ElectroNics, iOPEN, Xi'an, China (and 1 more)
- Yang Zhao 0022 — Zhejiang University, College of Computer Science, China
- Yang Zhao 0023 — Harbin Institute of Technology, Harbin, China
- Yang Zhao 0024 — University of Electronic Science and Technology of China, Chengdu, China
- Yang Zhao 0025 — ByteDance, China
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2020 – today
- 2025
[j2]Xiuyuan Hu, Guoqing Liu, Yang Zhao, Hao Zhang:
Activity cliff-aware reinforcement learning for de novo drug design. J. Cheminformatics 17(1) (2025)- [i10]Xiuyuan Hu, Guoqing Liu, Can Chen, Yang Zhao, Hao Zhang, Xue Liu:
3DMolFormer: A Dual-channel Framework for Structure-based Drug Discovery. CoRR abs/2502.05107 (2025) - [i9]Xiuyuan Hu, Guoqing Liu, Can Chen, Yang Zhao, Hao Zhang, Xue Liu:
TransDiffSBDD: Causality-Aware Multi-Modal Structure-Based Drug Design. CoRR abs/2503.20913 (2025) - 2024
- [j1]Xiuyuan Hu, Guoqing Liu, Quanming Yao, Yang Zhao, Hao Zhang:
Hamiltonian diversity: effectively measuring molecular diversity by shortest Hamiltonian circuits. J. Cheminformatics 16(1): 94 (2024) - [c7]Yang Zhao, Hao Zhang, Xiuyuan Hu:
When Will Gradient Regularization Be Harmful? ICML 2024 - [i8]Xiuyuan Hu, Guoqing Liu, Yang Zhao, Hao Zhang:
De novo Drug Design using Reinforcement Learning with Multiple GPT Agents. CoRR abs/2401.06155 (2024) - [i7]Yang Zhao, Hao Zhang, Xiuyuan Hu:
When Will Gradient Regularization Be Harmful? CoRR abs/2406.09723 (2024) - 2023
- [c6]Xiuyuan Hu, Yanghepu Li, Guoqing Liu, Yang Zhao, Hao Zhang, Liang Zhao:
De novo Drug Design against SARS-CoV-2 Protein Targets using SMILES-based Deep Reinforcement Learning. ICIT 2023: 161-166 - [c5]Xiuyuan Hu, Guoqing Liu, Yang Zhao, Hao Zhang:
De novo Drug Design using Reinforcement Learning with Multiple GPT Agents. NeurIPS 2023 - [c4]Yang Zhao, Hao Zhang, Xiuyuan Hu:
Role Taxonomy of Units in Deep Neural Networks. UniReps 2023: 291-301 - 2022
- [c3]Yang Zhao, Hao Zhang:
Neighborhood Region Smoothing Regularization for Finding Flat Minima in Deep Neural Networks. ACCV (1) 2022: 652-665 - [c2]Yang Zhao, Hao Zhang:
Quantitative Performance Assessment of CNN Units via Topological Entropy Calculation. ICLR 2022 - [c1]Yang Zhao, Hao Zhang, Xiuyuan Hu:
Penalizing Gradient Norm for Efficiently Improving Generalization in Deep Learning. ICML 2022: 26982-26992 - [i6]Yang Zhao, Hao Zhang:
Neighborhood Region Smoothing Regularization for Finding Flat Minima In Deep Neural Networks. CoRR abs/2201.06064 (2022) - [i5]Yang Zhao, Hao Zhang, Xiuyuan Hu:
Penalizing Gradient Norm for Efficiently Improving Generalization in Deep Learning. CoRR abs/2202.03599 (2022) - [i4]Yang Zhao, Hao Zhang, Xiuyuan Hu:
SS-SAM : Stochastic Scheduled Sharpness-Aware Minimization for Efficiently Training Deep Neural Networks. CoRR abs/2203.09962 (2022) - 2021
- [i3]Yang Zhao, Hao Zhang:
Quantitative Effectiveness Assessment and Role Categorization of Individual Units in Convolutional Neural Networks. CoRR abs/2103.09716 (2021) - [i2]Yang Zhao, Hao Zhang:
Analyzing and Quantifying Generalization in Convolutional Neural Networks. CoRR abs/2104.00851 (2021) - 2020
- [i1]Yang Zhao, Hao Zhang:
A topological approach to exploring convolutional neural networks. CoRR abs/2011.00789 (2020)
Coauthor Index
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