Wenhao Gao

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 21

Top Topics

Maximum Entropy Principle

Question Answering

Top Venues

J. Chem. Inf. Model.

Publications

Zhenbo Song, Wenhao Gao, Kaihao Zhang, Wenhan Luo, Zhaoxin Fan, Jianfeng Lu
AS-FIBA: Adaptive Selective Frequency-Injection for Backdoor Attack on Deep Face Restoration. CoRR (2024)
Wenhao Gao, Xiaobing Li, Yun Tie, Lin Qi
Music Question Answering Based on Aesthetic Experience. IJCNN (2023)
Wenhao Gao, Xiaobing Li, Cong Jin, Yun Tie
Music Question Answering: Cognize and Perceive Music. ICME Workshops (2022)
Liping Zhang, Wenhao Gao, Shukai Chen, Wei Ren, Kim-Kwang Raymond Choo, Neal N. Xiong
A Privacy-Preserving Proximity Testing Using Private Set Intersection for Vehicular Ad-Hoc Networks. IEEE Trans. Ind. Informatics 18 (10) (2022)
Wenhao Gao, Rocío Mercado, Connor W. Coley
Amortized Tree Generation for Bottom-up Synthesis Planning and Synthesizable Molecular Design. ICLR (2022)
Wenhao Gao, Tianfan Fu, Jimeng Sun, Connor W. Coley
Sample Efficiency Matters: A Benchmark for Practical Molecular Optimization. CoRR (2022)
Tianfan Fu, Wenhao Gao, Connor W. Coley, Jimeng Sun
Reinforced Genetic Algorithm for Structure-based Drug Design. CoRR (2022)
Tianfan Fu, Wenhao Gao, Cao Xiao, Jacob Yasonik, Connor W. Coley, Jimeng Sun
Differentiable Scaffolding Tree for Molecule Optimization. ICLR (2022)
Wenhao Gao, Huixin Li
Cost of Charging Electric Vehicles in a City. ISGT Asia (2022)
Michael Tynes, Wenhao Gao, Daniel J. Burrill, Enrique R. Batista, Danny Perez, Ping Yang, Nicholas Lubbers
Pairwise Difference Regression: A Machine Learning Meta-algorithm for Improved Prediction and Uncertainty Quantification in Chemical Search. J. Chem. Inf. Model. 61 (8) (2021)
Kexin Huang, Tianfan Fu, Wenhao Gao, Yue Zhao, Yusuf Roohani, Jure Leskovec, Connor W. Coley, Cao Xiao, Jimeng Sun, Marinka Zitnik
Therapeutics Data Commons: Machine Learning Datasets and Tasks for Therapeutics. CoRR (2021)
Tianfan Fu, Wenhao Gao, Cao Xiao, Jacob Yasonik, Connor W. Coley, Jimeng Sun
Differentiable Scaffolding Tree for Molecular Optimization. CoRR (2021)
Wenhao Gao, Rocío Mercado, Connor W. Coley
Amortized Tree Generation for Bottom-up Synthesis Planning and Synthesizable Molecular Design. CoRR (2021)
Kexin Huang, Tianfan Fu, Wenhao Gao, Yue Zhao, Yusuf Roohani, Jure Leskovec, Connor W. Coley, Cao Xiao, Jimeng Sun, Marinka Zitnik
Therapeutics Data Commons: Machine Learning Datasets and Tasks for Drug Discovery and Development. NeurIPS Datasets and Benchmarks (2021)
Wenhao Gao, Connor W. Coley
The Synthesizability of Molecules Proposed by Generative Models. CoRR (2020)
Wenhao Gao, Sai Pooja Mahajan, Jeremias Sulam, Jeffrey J. Gray
Deep Learning in Protein Structural Modeling and Design. CoRR (2020)
Wenhao Gao, Sai Pooja Mahajan, Jeremias Sulam, Jeffrey J. Gray
Deep Learning in Protein Structural Modeling and Design. Patterns 1 (9) (2020)
Wenhao Gao, Wenjian Luo, Chenyang Bu
Adapting the TopLeaders algorithm for dynamic social networks. J. Supercomput. 76 (10) (2020)
Wenhao Gao, Connor W. Coley
The Synthesizability of Molecules Proposed by Generative Models. J. Chem. Inf. Model. 60 (12) (2020)
Wenhao Gao, Wenjian Luo, Chenyang Bu, Li Ni, Daofu Zhang
Clustering Evolutionary Data with an r-Dominance Based Multi-objective Evolutionary Algorithm. IDEAL (2016)
Wenhao Gao, Wenjian Luo, Chenyang Bu
Evolutionary community discovery in dynamic networks based on leader nodes. BigComp (2016)