Weihao Gao

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 47

Top Topics

Conditional Dependence

Representation Scheme

Nearest Neighbor

Top Venues

IEEE Trans. Inf. Theory

Publications

Zhiyuan Niu, Zhuo Deng, Weihao Gao, Shurui Bai, Zheng Gong, Chucheng Chen, Fuju Rong, Fang Li, Lan Ma
FNeXter: A Multi-Scale Feature Fusion Network Based on ConvNeXt and Transformer for Retinal OCT Fluid Segmentation. Sensors 24 (8) (2024)
Weihao Gao, Yongjun Zhang, Huachun Jian
A novel attention-based network for single image dehazing. Vis. Comput. 40 (8) (2024)
Bufan Wang, Yongjun Zhang, Weihao Gao, He Yao, Ruzhong Chen
Exploiting local detail in single image super-resolution via hypergraph convolution. Multim. Syst. 30 (3) (2024)
Hongyi Wang, Ji Sun, Jinzhe Liang, Li Zhai, Zitian Tang, Zijian Li, Wei Zhai, Xusheng Wang, Weihao Gao, Sheng Gong, Bolong Huang, Hua Zhang
Crystals with Transformers on Graphs, for Prediction of Unconventional Crystal Material Properties and the Benchmark. CoRR (2024)
Huachun Jian, Yongjun Zhang, Weihao Gao, Bufan Wang, Guomei Wang
Dual-branch feature fusion dehazing network via multispectral channel attention. Int. J. Mach. Learn. Cybern. 15 (7) (2024)
Weihao Gao, Yongjun Zhang, Huachun Jian
Multispectral attention-based network for single image deraining. Signal Image Video Process. 18 (1) (2024)
Sheng Gong, Yumin Zhang, Zhenliang Mu, Zhichen Pu, Hongyi Wang, Zhiao Yu, Mengyi Chen, Tianze Zheng, Zhi Wang, Lifei Chen, Xiaojie Wu, Shaochen Shi, Weihao Gao, Wen Yan, Liang Xiang
BAMBOO: a predictive and transferable machine learning force field framework for liquid electrolyte development. CoRR (2024)
Xuexue Zhang, Yongjun Zhang, Zewei Wang, Wei Long, Weihao Gao, Bob Zhang
Sparse representation scheme with enhanced medium pixel intensity for face recognition. CAAI Trans. Intell. Technol. 9 (1) (2024)
Alexander Bukharin, Tianyi Liu, Shengjie Wang, Simiao Zuo, Weihao Gao, Wen Yan, Tuo Zhao
Machine Learning Force Fields with Data Cost Aware Training. CoRR (2023)
Alexander Bukharin, Tianyi Liu, Shengjie Wang, Simiao Zuo, Weihao Gao, Wen Yan, Tuo Zhao
Machine Learning Force Fields with Data Cost Aware Training. ICML (2023)
Weihao Gao, Yongjun Zhang, Wei Long, Zhongwei Cui
A deraining with detail-recovery network via context aggregation. Multim. Syst. 29 (5) (2023)
Weihao Gao, Zhuo Deng, Zhiyuan Niu, Fuju Rong, Chucheng Chen, Zheng Gong, Wenze Zhang, Daimin Xiao, Fang Li, Zhenjie Cao, Lan Ma
OphGLM: Training an Ophthalmology Large Language-and-Vision Assistant based on Instructions and Dialogue. CoRR (2023)
Ce Yang, Weihao Gao, Di Wu, Chong Wang
Learning to Simulate Unseen Physical Systems with Graph Neural Networks. CoRR (2022)
Xiang Gao, Weihao Gao, Wenzhi Xiao, Zhirui Wang, Chong Wang, Liang Xiang
Supervised Pretraining for Molecular Force Fields and Properties Prediction. CoRR (2022)
Tianyi Liu, Weihao Gao, Zhirui Wang, Chong Wang
PathFlow: A normalizing flow generator that finds transition paths. UAI (2022)
Oscar Li, Jiankai Sun, Xin Yang, Weihao Gao, Hongyi Zhang, Junyuan Xie, Virginia Smith, Chong Wang
Label Leakage and Protection in Two-party Split Learning. ICLR (2022)
Xiang Gao, Weihao Gao, Wenzhi Xiao, Zhirui Wang, Chong Wang, Liang Xiang
Learning Regularized Positional Encoding for Molecular Prediction. CoRR (2022)
Chaosheng Dong, Xiaojie Jin, Weihao Gao, Yijia Wang, Hongyi Zhang, Xiang Wu, Jianchao Yang, Xiaobing Liu
One Backward from Ten Forward, Subsampling for Large-Scale Deep Learning. CoRR (2021)
Tianze Zheng, Weihao Gao, Chong Wang
Learning Large-Time-Step Molecular Dynamics with Graph Neural Networks. CoRR (2021)
Weihao Gao, Xiangjun Fan, Chong Wang, Jiankai Sun, Kai Jia, Wenzhi Xiao, Ruofan Ding, Xingyan Bin, Hui Yang, Xiaobing Liu
Learning An End-to-End Structure for Retrieval in Large-Scale Recommendations. CIKM (2021)
Oscar Li, Jiankai Sun, Xin Yang, Weihao Gao, Hongyi Zhang, Junyuan Xie, Virginia Smith, Chong Wang
Label Leakage and Protection in Two-party Split Learning. CoRR (2021)
Yuheng Bu, Weihao Gao, Shaofeng Zou, Venugopal V. Veeravalli
Population Risk Improvement with Model Compression: An Information-Theoretic Approach. Entropy 23 (10) (2021)
Jiankai Sun, Yuanshun Yao, Weihao Gao, Junyuan Xie, Chong Wang
Defending against Reconstruction Attack in Vertical Federated Learning. CoRR (2021)
Jiankai Sun, Xin Yang, Yuanshun Yao, Aonan Zhang, Weihao Gao, Junyuan Xie, Chong Wang
Vertical Federated Learning without Revealing Intersection Membership. CoRR (2021)
Yuheng Bu, Weihao Gao, Shaofeng Zou, Venugopal V. Veeravalli
Information-Theoretic Understanding of Population Risk Improvement with Model Compression. AAAI (2020)
Weihao Gao, Xiangjun Fan, Jiankai Sun, Kai Jia, Wenzhi Xiao, Chong Wang, Xiaobing Liu
Deep Retrieval: An End-to-End Learnable Structure Model for Large-Scale Recommendations. CoRR (2020)
Weihao Gao, Ashok Vardhan Makkuva, Sewoong Oh, Pramod Viswanath
Learning One-hidden-layer Neural Networks under General Input Distributions. AISTATS (2019)
Weihao Gao, Yu-Han Liu, Chong Wang, Sewoong Oh
Rate Distortion For Model Compression: From Theory To Practice. ICML (2019)
Yuheng Bu, Weihao Gao, Shaofeng Zou, Venugopal V. Veeravalli
Information-Theoretic Understanding of Population Risk Improvement with Model Compression. CoRR (2019)
Weihao Gao, Chong Wang, Sewoong Oh
Rate Distortion For Model Compression: From Theory To Practice. CoRR (2018)
Weihao Gao, Sewoong Oh, Pramod Viswanath
Breaking the Bandwidth Barrier: Geometrical Adaptive Entropy Estimation. IEEE Trans. Inf. Theory 64 (5) (2018)
Jiantao Jiao, Weihao Gao, Yanjun Han
The Nearest Neighbor Information Estimator is Adaptively Near Minimax Rate-Optimal. NeurIPS (2018)
Weihao Gao, Ashok Vardhan Makkuva, Sewoong Oh, Pramod Viswanath
Learning One-hidden-layer Neural Networks under General Input Distributions. CoRR (2018)
Weihao Gao, Sewoong Oh, Pramod Viswanath
Demystifying Fixed k-Nearest Neighbor Information Estimators. IEEE Trans. Inf. Theory 64 (8) (2018)
Weihao Gao, Sreeram Kannan, Sewoong Oh, Pramod Viswanath
Estimating Mutual Information for Discrete-Continuous Mixtures. NIPS (2017)
Jiantao Jiao, Weihao Gao, Yanjun Han
The Nearest Neighbor Information Estimator is Adaptively Near Minimax Rate-Optimal. CoRR (2017)
Weihao Gao, Sreeram Kannan, Sewoong Oh, Pramod Viswanath
Estimating Mutual Information for Discrete-Continuous Mixtures. CoRR (2017)
Hyeji Kim, Weihao Gao, Sreeram Kannan, Sewoong Oh, Pramod Viswanath
Discovering Potential Correlations via Hypercontractivity. Entropy 19 (11) (2017)
Weihao Gao, Sewoong Oh, Pramod Viswanath
Density Functional Estimators with k-Nearest Neighbor Bandwidths. CoRR (2017)
Hyeji Kim, Weihao Gao, Sreeram Kannan, Sewoong Oh, Pramod Viswanath
Discovering Potential Correlations via Hypercontractivity. NIPS (2017)
Weihao Gao, Sewoong Oh, Pramod Viswanath
Density functional estimators with k-nearest neighbor bandwidths. ISIT (2017)
Weihao Gao, Sewoong Oh, Pramod Viswanath
Demystifying fixed k-nearest neighbor information estimators. ISIT (2017)
Weihao Gao, Sreeram Kannan, Sewoong Oh, Pramod Viswanath
Causal Strength via Shannon Capacity: Axioms, Estimators and Applications. CoRR (2016)
Weihao Gao, Sewoong Oh, Pramod Viswanath
Breaking the Bandwidth Barrier: Geometrical Adaptive Entropy Estimation. NIPS (2016)
Weihao Gao, Sewoong Oh, Pramod Viswanath
Breaking the Bandwidth Barrier: Geometrical Adaptive Entropy Estimation. CoRR (2016)
Weihao Gao, Sewoong Oh, Pramod Viswanath
Demystifying Fixed k-Nearest Neighbor Information Estimators. CoRR (2016)
Weihao Gao, Sreeram Kannan, Sewoong Oh, Pramod Viswanath
Conditional Dependence via Shannon Capacity: Axioms, Estimators and Applications. ICML (2016)
Weihao Gao, Yury Polyanskiy
On the bit error rate of repeated error-correcting codes. CISS (2014)