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ORCIDYingze Wang
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2020 – today
- 2026
[j13]Justin Purnomo, Caitlin Kim, Kunyang Sun, Yingze Wang, Teresa Head-Gordon
:
More Accurate Binding Affinity Prediction Using Protein Homology and Ligand-Based Transfer Learning. J. Chem. Inf. Model. 66(4): 2006-2016 (2026)- [j12]Hugo MacDermott-Opeskin, Jenke Scheen, Cas Wognum, Joshua T. Horton, Devany West, Alexander Matthew Payne, Maria A. Castellanos, Sean Colby, Edward J. Griffen, David Cousins, Jessica Stacey, Lauren Reid, Jasmin Cara Aschenbrenner, Daren Fearon, Blake Balcomb, Peter Marples, Charles W. E. Tomlinson, Ryan Lithgo, Andre S. Godoy, Max Winokan, Haim Barr, Noa Lahav, Michael Lavi, Shirley Duberstein, Galit Cohen, Gwendolyn Fate, Bruce Lefker, Ralph Robinson, Tamas Szommer, Nick Lynch, David D. L. Minh, Van Ngoc Thuy La, Lulu Kang, Kate Huddleston, Ryan Renslow, Mallory Tollefson, W. Patrick Walters, Cynthia Xu, Jonny Hsu, Julien St-Laurent, Honore Etsmoberg, Lu Zhu, Andrew Quirke, Mohamed Iliyas Abdul Haleem, Irfan Alibay, Gunjan Baid, Benjamin Birnbaum, Kevin P. Bishop, Hugo-Javier Bohórquez, Ashmita Bose, C. J. Brown, Jackson W. Burns, Lianjin Cai, Ruel Cedeno, Stephane de Cesco, Vladimir I. Chupakhin, Finlay Clark, Daniel J. Cole, Carles Corbi-Verge, Muhammad Danial, Alec Davi, Wim Dehaen, Niklas Piet Doering, Alexis Dougha, Marie-Pierre Dréanic, Bryce Eakin, Anatol Ehrlich, Rokas Elijosius, Jozef Fülöp, Anthony Gitter, Kenneth Goossens, Yaowen Gu, Teresa Head-Gordon, Laurent Hoffer, Johan Hofmans, Ellena Jiang, Benjamin Kaminow, Sina Khosravi, Asma Feriel Khoualdi, Eelke B. Lenselink, Zhirong Liu, Yue Liu, Sijie Liu, Yizhou Ma, Patrick Maher, Imke Mayer, Oscar Mendez-Lucio, Antonia S. J. S. Mey, Julien Michel, Floriane Montanari, Taoyu Niu, Ryusei Ogino, Ashok Palaniappan, Xiaolin Pan, Auro Patnaik, Long-Hung Dinh Pham, Luis Pinto, Justin Purnomo, Alex Rich, Lars L. Schaaf, Christoph Schran, Rajeev Kumar Singh, Mounika Srilakshmi, Satya Pratik Srivastava, Kunyang Sun, Zhaoxi Sun, Valerij Talagayev, Balamurugan Thirukonda Subramanian Balakrishnan, Ida Titus, Alexandre Tkatchenko, Wojtek Treyde, Giovanni Tricarico, Austin Tripp, Nopsinth Vithayapalert, Yingze Wang, Azmine Toushik Wasi, Steffen Wedig, Gerhard Wolber, Bofei Xu, Weijun Zhou, Frank von Delft, Alpha Lee, Karla Kirkegaard, Peter Sjö, James S. Fraser, John D. Chodera:
A Computational Community Blind Challenge on Pan-Coronavirus Drug Discovery Data. J. Chem. Inf. Model. 66(6): 3129-3149 (2026) - 2025
- [j11]Jinzhe Zeng, Xingliang Peng, Yong-Bin Zhuang, Haidi Wang, Fengbo Yuan, Duo Zhang, Renxi Liu, Yingze Wang, Ping Tuo, Yuzhi Zhang, Yixiao Chen, Yifan Li, Cao Thang Nguyen, Jiameng Huang, Anyang Peng, Marián Rynik, Wei-Hong Xu, Zezhong Zhang, Xu-Yuan Zhou, Tao Chen, Jiahao Fan, Wanrun Jiang, Bowen Li, Denan Li, Haoxi Li, Wenshuo Liang, Ruihao Liao, Liping Liu, Chenxing Luo, Logan Ward, Kaiwei Wan, Junjie Wang, Pan Xiang, Chengqian Zhang, Jinchao Zhang, Rui Zhou, Jia-Xin Zhu, Linfeng Zhang, Han Wang:
dpdata: A Scalable Python Toolkit for Atomistic Machine Learning Data Sets. J. Chem. Inf. Model. 65(21): 11497-11504 (2025) - [j10]Kunyang Sun, Yingze Wang, Justin Purnomo, Teresa Head-Gordon:
Polaris Challenge: Data-Driven Priors to Improve Docking for Pose Prediction. J. Chem. Inf. Model. 65(21): 12058-12067 (2025) - [j9]Yaxin Liao, Yingze Wang, Qimei Cui, Kwang-Cheng Chen, Guoshun Nan, Xiaofeng Tao:
Data-Driven Cyber-Physical Anomaly Detection With GAN in Federated Smart Factories. IEEE Trans. Ind. Informatics 21(4): 3067-3076 (2025) - [i5]Kunyang Sun, Dorian Bagni, Joseph M. Cavanagh, Yingze Wang, Jacob M. Sawyer, Andrew Gritsevskiy, Teresa Head-Gordon:
SynLlama: Generating Synthesizable Molecules and Their Analogs with Large Language Models. CoRR abs/2503.12602 (2025) - [i4]Min Zhao, Hongzhou Zhu, Yingze Wang, Bokai Yan, Jintao Zhang, Guande He, Ling Yang, Chongxuan Li, Jun Zhu:
UltraViCo: Breaking Extrapolation Limits in Video Diffusion Transformers. CoRR abs/2511.20123 (2025) - [i3]Yuanqi Du, Botao Yu, Tianyu Liu, Tony Shen, Junwu Chen, Jan G. Rittig, Kunyang Sun, Yikun Zhang, Zhangde Song, Bo Zhou, Cassandra Masschelein, Yingze Wang, Haorui Wang, Haojun Jia, Chao Zhang, Hongyu Zhao, Martin Ester, Teresa Head-Gordon, Carla P. Gomes, Huan Sun, Chenru Duan, Philippe Schwaller, Wengong Jin:
Accelerating Scientific Discovery with Autonomous Goal-evolving Agents. CoRR abs/2512.21782 (2025) - 2024
- [j8]Zhenzhen Gong, Omar Hashash, Yingze Wang, Qimei Cui, Wei Ni, Walid Saad, Kei Sakaguchi:
UAV-Aided Lifelong Learning for AoI and Energy Optimization in Nonstationary IoT Networks. IEEE Internet Things J. 11(24): 39206-39224 (2024) - [j7]Yanqiao Zhu, Dingshuo Chen, Yuanqi Du, Yingze Wang, Qiang Liu, Shu Wu:
Molecular Contrastive Pretraining with Collaborative Featurizations. J. Chem. Inf. Model. 64(4): 1112-1122 (2024) - [j6]Jie Li, Oufan Zhang, Kunyang Sun, Yingze Wang, Xingyi Guan, Dorian Bagni, Mojtaba Haghighatlari, Fiona L. Kearns, Conor D. Parks, Rommie E. Amaro, Teresa Head-Gordon:
Mining for Potent Inhibitors through Artificial Intelligence and Physics: A Unified Methodology for Ligand Based and Structure Based Drug Design. J. Chem. Inf. Model. 64(24): 9082-9097 (2024) - 2023
- [j5]Yingze Wang, Mengying Sun, Qimei Cui, Kwang-Cheng Chen, Yaxin Liao:
RIS-Aided Proactive Mobile Network Downlink Interference Suppression: A Deep Reinforcement Learning Approach. Sensors 23(14): 6550 (2023) - [j4]Yingze Wang, Kwang-Cheng Chen, Zhenzhen Gong, Qimei Cui, Xiaofeng Tao, Ping Zhang:
Reliability-Guaranteed Uplink Resource Management in Proactive Mobile Network for Minimal Latency Communications. IEEE Trans. Wirel. Commun. 22(8): 5018-5030 (2023) - [i2]Zhenzhen Gong, Omar Hashash, Yingze Wang, Qimei Cui, Wei Ni, Walid Saad, Kei Sakaguchi:
UAV-Aided Lifelong Learning for AoI and Energy Optimization in Non-Stationary IoT Networks. CoRR abs/2312.00334 (2023) - 2022
- [j3]Xinyuan Wang, Yingze Wang, Qimei Cui, Kwang-Cheng Chen, Wei Ni:
Machine Learning Enables Radio Resource Allocation in the Downlink of Ultra-Low Latency Vehicular Networks. IEEE Access 10: 44710-44723 (2022) - [i1]Yanqiao Zhu, Dingshuo Chen, Yuanqi Du, Yingze Wang, Qiang Liu, Shu Wu:
Improving Molecular Pretraining with Complementary Featurizations. CoRR abs/2209.15101 (2022) - 2021
- [c12]Yingze Wang, Qimei Cui, Kwang-Cheng Chen:
Machine Learning Enables Predictive Resource Recommendation for Minimal Latency Mobile Networking. PIMRC 2021: 1363-1369 - 2020
- [c11]Yingzhu Ren, Qimei Cui, Xiyu Zhao, Yingze Wang, Xueqing Huang, Wei Ni:
Data-Driven Intelligent Management of Energy Constrained Autonomous Vehicles in Smart Cities. CrownCom 2020: 112-125
2010 – 2019
- 2019
- [j2]Qimei Cui, Yingze Wang, Kwang-Cheng Chen, Wei Ni, I-Cheng Lin, Xiaofeng Tao, Ping Zhang:
Big Data Analytics and Network Calculus Enabling Intelligent Management of Autonomous Vehicles in a Smart City. IEEE Internet Things J. 6(2): 2021-2034 (2019) - [c10]Kwang-Cheng Chen, Yingze Wang, Zixiang Nie, Qimei Cui:
Toward Holistic Integration of Computing and Wireless Networking. IFIPIoT 2019: 219-234 - 2014
- [j1]Yingze Wang, Shi-Kuo Chang:
User Profile Visualization to Facilitate MSLIM-Model-Based Social Influence Analysis Based on Slow Intelligence Approach. Int. J. Softw. Eng. Knowl. Eng. 24(10): 1573- (2014) - [c9]Yingze Wang, Shi-Kuo Chang:
User Profile Visualization to facilitate MSLIM-model-based Social Influence Analysis based on Slow Intelligence Approach. SEKE 2014: 653-658 - 2013
- [c8]Yingze Wang, Guang Xiang, Shi-Kuo Chang:
Sparse Multi-Task Learning for Detecting Influential Nodes in an Implicit Diffusion Network. AAAI 2013: 926-932 - [c7]Shi-Kuo Chang, Bin Gao, Liqun Kuang, Yingze Wang:
A PetCare System designed by Slow Intelligence Principles. DMS 2013: 43-50 - 2012
- [c6]Liqun Kuang, Shi-Kuo Chang, Yao Sun, Yingze Wang:
Design and Implementation of Image Analysis System by Applying Component-based Slow Intelligence System Framework. DMS 2012: 9-16 - [c5]Yingze Wang, Guang Xiang, Shi-Kuo Chang:
Sparse Linear Influence Model for Hot User Selection on Mining a Social Network. SEKE 2012: 1-6 - 2011
- [c4]Yingze Wang, Shi-Kuo Chang:
High Dimensional Feature Selection via a Slow Intelligence Approach. DMS 2011: 10-15 - [c3]Shi-Kuo Chang, Yingze Wang, Yao Sun:
Visual Specification of Component-based Slow Intelligence Systems. SEKE 2011: 1-8 - [c2]Shi-Kuo Chang, Yao Sun, Yingze Wang, Chia Chun Shih, Ting-Chun Peng:
Design of Component-based Slow Intelligence Systems and Application to Social Influence Analysis. SEKE 2011: 9-16
2000 – 2009
- 2009
- [c1]Yingze Wang, Yu Chen, Jianzhuang Liu, Xiaoou Tang:
3D reconstruction of curved objects from single 2D line drawings. CVPR 2009: 1834-1841
Coauthor Index
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last updated on 2026-04-01 23:39 CEST by the dblp team
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