Yingze Wang

30 papers A* 2B 1C 4Journal 18Unranked 5
YearRankTypeTitle / Venue / Authors
2026 J jnl
A Computational Community Blind Challenge on Pan-Coronavirus Drug Discovery Data.
J. Chem. Inf. Model.
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
2026 J jnl
More Accurate Binding Affinity Prediction Using Protein Homology and Ligand-Based Transfer Learning.
J. Chem. Inf. Model.
Justin Purnomo, Caitlin Kim, Kunyang Sun, Yingze Wang, Teresa Head-Gordon
2025 J jnl
Accelerating Scientific Discovery with Autonomous Goal-evolving Agents.
CoRR
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
2025 J jnl
Data-Driven Cyber-Physical Anomaly Detection With GAN in Federated Smart Factories.
IEEE Trans. Ind. Informatics
Yaxin Liao, Yingze Wang, Qimei Cui, Kwang-Cheng Chen, Guoshun Nan, Xiaofeng Tao
2025 J jnl
Polaris Challenge: Data-Driven Priors to Improve Docking for Pose Prediction.
J. Chem. Inf. Model.
Kunyang Sun, Yingze Wang, Justin Purnomo, Teresa Head-Gordon
2025 J jnl
SynLlama: Generating Synthesizable Molecules and Their Analogs with Large Language Models.
CoRR
Kunyang Sun, Dorian Bagni, Joseph M. Cavanagh, Yingze Wang, Jacob M. Sawyer, Andrew Gritsevskiy, Teresa Head-Gordon
2025 J jnl
UltraViCo: Breaking Extrapolation Limits in Video Diffusion Transformers.
CoRR
Min Zhao, Hongzhou Zhu, Yingze Wang, Bokai Yan, Jintao Zhang, Guande He, Ling Yang, Chongxuan Li, Jun Zhu
2025 J jnl
dpdata: A Scalable Python Toolkit for Atomistic Machine Learning Data Sets.
J. Chem. Inf. Model.
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
2024 J jnl
Mining for Potent Inhibitors through Artificial Intelligence and Physics: A Unified Methodology for Ligand Based and Structure Based Drug Design.
J. Chem. Inf. Model.
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
2024 J jnl
Molecular Contrastive Pretraining with Collaborative Featurizations.
J. Chem. Inf. Model.
Yanqiao Zhu, Dingshuo Chen, Yuanqi Du, Yingze Wang, Qiang Liu, Shu Wu
2024 J jnl
UAV-Aided Lifelong Learning for AoI and Energy Optimization in Nonstationary IoT Networks.
IEEE Internet Things J.
Zhenzhen Gong, Omar Hashash, Yingze Wang, Qimei Cui, Wei Ni, Walid Saad, Kei Sakaguchi
2023 J jnl
RIS-Aided Proactive Mobile Network Downlink Interference Suppression: A Deep Reinforcement Learning Approach.
Sensors
Yingze Wang, Mengying Sun, Qimei Cui, Kwang-Cheng Chen, Yaxin Liao
2023 J jnl
Reliability-Guaranteed Uplink Resource Management in Proactive Mobile Network for Minimal Latency Communications.
IEEE Trans. Wirel. Commun.
Yingze Wang, Kwang-Cheng Chen, Zhenzhen Gong, Qimei Cui, Xiaofeng Tao, Ping Zhang
2023 J jnl
UAV-Aided Lifelong Learning for AoI and Energy Optimization in Non-Stationary IoT Networks.
CoRR
Zhenzhen Gong, Omar Hashash, Yingze Wang, Qimei Cui, Wei Ni, Walid Saad, Kei Sakaguchi
2022 J jnl
Improving Molecular Pretraining with Complementary Featurizations.
CoRR
Yanqiao Zhu, Dingshuo Chen, Yuanqi Du, Yingze Wang, Qiang Liu, Shu Wu
2022 J jnl
Machine Learning Enables Radio Resource Allocation in the Downlink of Ultra-Low Latency Vehicular Networks.
IEEE Access
Xinyuan Wang, Yingze Wang, Qimei Cui, Kwang-Cheng Chen, Wei Ni
2021 B conf
Machine Learning Enables Predictive Resource Recommendation for Minimal Latency Mobile Networking.
PIMRC
Yingze Wang, Qimei Cui, Kwang-Cheng Chen
2020 — conf
Data-Driven Intelligent Management of Energy Constrained Autonomous Vehicles in Smart Cities.
CrownCom
Yingzhu Ren, Qimei Cui, Xiyu Zhao, Yingze Wang, Xueqing Huang, Wei Ni
2019 J jnl
Big Data Analytics and Network Calculus Enabling Intelligent Management of Autonomous Vehicles in a Smart City.
IEEE Internet Things J.
Qimei Cui, Yingze Wang, Kwang-Cheng Chen, Wei Ni, I-Cheng Lin, Xiaofeng Tao, Ping Zhang
2019 — conf
Toward Holistic Integration of Computing and Wireless Networking.
IFIPIoT
Kwang-Cheng Chen, Yingze Wang, Zixiang Nie, Qimei Cui
2014 J jnl
User Profile Visualization to Facilitate MSLIM-Model-Based Social Influence Analysis Based on Slow Intelligence Approach.
Int. J. Softw. Eng. Knowl. Eng.
Yingze Wang, Shi-Kuo Chang
2014 C conf
User Profile Visualization to facilitate MSLIM-model-based Social Influence Analysis based on Slow Intelligence Approach.
SEKE
Yingze Wang, Shi-Kuo Chang
2013 — conf
A PetCare System designed by Slow Intelligence Principles.
DMS
Shi-Kuo Chang, Bin Gao, Liqun Kuang, Yingze Wang
2013 A* conf
Sparse Multi-Task Learning for Detecting Influential Nodes in an Implicit Diffusion Network.
AAAI
Yingze Wang, Guang Xiang, Shi-Kuo Chang
2012 — conf
Design and Implementation of Image Analysis System by Applying Component-based Slow Intelligence System Framework.
DMS
Liqun Kuang, Shi-Kuo Chang, Yao Sun, Yingze Wang
2012 C conf
Sparse Linear Influence Model for Hot User Selection on Mining a Social Network.
SEKE
Yingze Wang, Guang Xiang, Shi-Kuo Chang
2011 C conf
Design of Component-based Slow Intelligence Systems and Application to Social Influence Analysis.
SEKE
Shi-Kuo Chang, Yao Sun, Yingze Wang, Chia Chun Shih, Ting-Chun Peng
2011 — conf
High Dimensional Feature Selection via a Slow Intelligence Approach.
DMS
Yingze Wang, Shi-Kuo Chang
2011 C conf
Visual Specification of Component-based Slow Intelligence Systems.
SEKE
Shi-Kuo Chang, Yingze Wang, Yao Sun
2009 A* conf
3D reconstruction of curved objects from single 2D line drawings.
CVPR
Yingze Wang, Yu Chen, Jianzhuang Liu, Xiaoou Tang