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2020 – today
- 2024
[j11]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): 116-127 (2024)- [j10]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): 2655-2671 (2024) - [j9]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): 157 (2024) - [j8]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): 2425 (2024) - [j7]Weihao Gao, Yongjun Zhang, Huachun Jian:
Multispectral attention-based network for single image deraining. Signal Image Video Process. 18(1): 691-701 (2024) - [j6]Weihao Gao, Yongjun Zhang, Huachun Jian:
A novel attention-based network for single image dehazing. Vis. Comput. 40(8): 5681-5693 (2024) - [c20]Ming Qin, Xun Li, Yuhao Wang, Zhenping Li, Hongbin Ye, Zongbing Wang, Weihao Gao, Shangsong Liang, Qiang Zhang, Keyan Ding:
ProTeM: Unifying Protein Function Prediction via Text Matching. ICANN (8) 2024: 132-146 - [c19]Mingwei Zhang, Lizhong Gao, Qiao Wang, Weihao Gao:
Predicting City Origin-Destination Flow with Generative Pre-training. ICANN (9) 2024: 233-245 - [c18]Fuju Rong, Weihao Gao, Zhuo Deng, Zheng Gong, Chucheng Chen, Wenze Zhang, Zhiyuan Niu, Fang Li, Lan Ma:
Enhancing LM's Task Adaptability: Powerful Post-training Framework with Reinforcement Learning from Model Feedback. ICANN (7) 2024: 423-432 - [c17]Chucheng Chen, Zheng Gong, Zhuo Deng, Weihao Gao, Fang Li, Lan Ma, Lei Shao, Ruiheng Zhang, Wenbin Wei:
DBA-PMC: A Mutually Enhancing Dual-Branch Architecture for Pathologic Myopia and Myopic Maculopathy Classification. ISBI 2024: 1-5 - [c16]Zhuo Deng, Zheng Gong, Weihao Gao, Jingyan Yang, Lei Shao, Fang Li, Wenbin Wei, Lan Ma:
FTSEGNET: A Novel Transformer-Based Fundus Tumor Segmentation Model Guided by Pre-Trained Classification Results. ISBI 2024: 1-5 - [i23]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 abs/2404.07181 (2024) - [i22]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 abs/2407.16131 (2024) - [i21]Weihao Gao, Zheng Gong, Zhuo Deng, Fuju Rong, Chucheng Chen, Lan Ma:
TabKANet: Tabular Data Modelling with Kolmogorov-Arnold Network and Transformer. CoRR abs/2409.08806 (2024) - 2023
- [j5]Weihao Gao, Yongjun Zhang, Wei Long, Zhongwei Cui:
A deraining with detail-recovery network via context aggregation. Multim. Syst. 29(5): 2591-2601 (2023) - [c15]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: 3219-3232 - [i20]Alexander Bukharin, Tianyi Liu, Shengjie Wang, Simiao Zuo, Weihao Gao, Wen Yan, Tuo Zhao:
Machine Learning Force Fields with Data Cost Aware Training. CoRR abs/2306.03109 (2023) - [i19]Weihao Gao, Zhuo Deng, Zhiyuan Niu, Fuju Rong, Chucheng Chen, Zheng Gong, Wenze Zhang, Daimin Xiao, Fang Li, Zhenjie Cao, Zhaoyi Ma, Wenbin Wei, Lan Ma:
OphGLM: Training an Ophthalmology Large Language-and-Vision Assistant based on Instructions and Dialogue. CoRR abs/2306.12174 (2023) - 2022
- [c14]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 - [c13]Tianyi Liu, Weihao Gao, Zhirui Wang, Chong Wang:
PathFlow: A normalizing flow generator that finds transition paths. UAI 2022: 1232-1242 - [i18]Ce Yang, Weihao Gao, Di Wu, Chong Wang:
Learning to Simulate Unseen Physical Systems with Graph Neural Networks. CoRR abs/2201.11976 (2022) - [i17]Xiang Gao, Weihao Gao, Wenzhi Xiao, Zhirui Wang, Chong Wang, Liang Xiang:
Learning Regularized Positional Encoding for Molecular Prediction. CoRR abs/2211.12773 (2022) - [i16]Xiang Gao, Weihao Gao, Wenzhi Xiao, Zhirui Wang, Chong Wang, Liang Xiang:
Supervised Pretraining for Molecular Force Fields and Properties Prediction. CoRR abs/2211.14429 (2022) - 2021
- [j4]Yuheng Bu, Weihao Gao, Shaofeng Zou, Venugopal V. Veeravalli:
Population Risk Improvement with Model Compression: An Information-Theoretic Approach. Entropy 23(10): 1255 (2021) - [c12]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: 524-533 - [i15]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 abs/2102.08504 (2021) - [i14]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 abs/2104.13114 (2021) - [i13]Jiankai Sun, Xin Yang, Yuanshun Yao, Aonan Zhang, Weihao Gao, Junyuan Xie, Chong Wang:
Vertical Federated Learning without Revealing Intersection Membership. CoRR abs/2106.05508 (2021) - [i12]Jiankai Sun, Yuanshun Yao, Weihao Gao, Junyuan Xie, Chong Wang:
Defending against Reconstruction Attack in Vertical Federated Learning. CoRR abs/2107.09898 (2021) - [i11]Tianze Zheng, Weihao Gao, Chong Wang:
Learning Large-Time-Step Molecular Dynamics with Graph Neural Networks. CoRR abs/2111.15176 (2021) - 2020
- [c11]Yuheng Bu, Weihao Gao, Shaofeng Zou, Venugopal V. Veeravalli:
Information-Theoretic Understanding of Population Risk Improvement with Model Compression. AAAI 2020: 3300-3307 - [i10]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 abs/2007.07203 (2020)
2010 – 2019
- 2019
- [b1]Weihao Gao:
Information theory meets big data: Theory, algorithms and applications to deep learning. University of Illinois Urbana-Champaign, USA, 2019 - [c10]Weihao Gao, Ashok Vardhan Makkuva, Sewoong Oh, Pramod Viswanath:
Learning One-hidden-layer Neural Networks under General Input Distributions. AISTATS 2019: 1950-1959 - [c9]Weihao Gao, Yu-Han Liu, Chong Wang, Sewoong Oh:
Rate Distortion For Model Compression: From Theory To Practice. ICML 2019: 2102-2111 - [i9]Yuheng Bu, Weihao Gao, Shaofeng Zou, Venugopal V. Veeravalli:
Information-Theoretic Understanding of Population Risk Improvement with Model Compression. CoRR abs/1901.09421 (2019) - 2018
- [j3]Weihao Gao, Sewoong Oh, Pramod Viswanath:
Breaking the Bandwidth Barrier: Geometrical Adaptive Entropy Estimation. IEEE Trans. Inf. Theory 64(5): 3313-3330 (2018) - [j2]Weihao Gao, Sewoong Oh, Pramod Viswanath:
Demystifying Fixed k-Nearest Neighbor Information Estimators. IEEE Trans. Inf. Theory 64(8): 5629-5661 (2018) - [c8]Jiantao Jiao, Weihao Gao, Yanjun Han:
The Nearest Neighbor Information Estimator is Adaptively Near Minimax Rate-Optimal. NeurIPS 2018: 3160-3171 - [i8]Weihao Gao, Ashok Vardhan Makkuva, Sewoong Oh, Pramod Viswanath:
Learning One-hidden-layer Neural Networks under General Input Distributions. CoRR abs/1810.04133 (2018) - [i7]Weihao Gao, Chong Wang, Sewoong Oh:
Rate Distortion For Model Compression: From Theory To Practice. CoRR abs/1810.06401 (2018) - 2017
- [j1]Hyeji Kim, Weihao Gao, Sreeram Kannan, Sewoong Oh, Pramod Viswanath:
Discovering Potential Correlations via Hypercontractivity. Entropy 19(11): 586 (2017) - [c7]Weihao Gao, Sewoong Oh, Pramod Viswanath:
Demystifying fixed k-nearest neighbor information estimators. ISIT 2017: 1267-1271 - [c6]Weihao Gao, Sewoong Oh, Pramod Viswanath:
Density functional estimators with k-nearest neighbor bandwidths. ISIT 2017: 1351-1355 - [c5]Hyeji Kim, Weihao Gao, Sreeram Kannan, Sewoong Oh, Pramod Viswanath:
Discovering Potential Correlations via Hypercontractivity. NIPS 2017: 4577-4587 - [c4]Weihao Gao, Sreeram Kannan, Sewoong Oh, Pramod Viswanath:
Estimating Mutual Information for Discrete-Continuous Mixtures. NIPS 2017: 5986-5997 - [i6]Weihao Gao, Sewoong Oh, Pramod Viswanath:
Density Functional Estimators with k-Nearest Neighbor Bandwidths. CoRR abs/1702.03051 (2017) - [i5]Weihao Gao, Sreeram Kannan, Sewoong Oh, Pramod Viswanath:
Estimating Mutual Information for Discrete-Continuous Mixtures. CoRR abs/1709.06212 (2017) - [i4]Jiantao Jiao, Weihao Gao, Yanjun Han:
The Nearest Neighbor Information Estimator is Adaptively Near Minimax Rate-Optimal. CoRR abs/1711.08824 (2017) - 2016
- [c3]Weihao Gao, Sreeram Kannan, Sewoong Oh, Pramod Viswanath:
Conditional Dependence via Shannon Capacity: Axioms, Estimators and Applications. ICML 2016: 2780-2789 - [c2]Weihao Gao, Sewoong Oh, Pramod Viswanath:
Breaking the Bandwidth Barrier: Geometrical Adaptive Entropy Estimation. NIPS 2016: 2460-2468 - [i3]Weihao Gao, Sreeram Kannan, Sewoong Oh, Pramod Viswanath:
Causal Strength via Shannon Capacity: Axioms, Estimators and Applications. CoRR abs/1602.03476 (2016) - [i2]Weihao Gao, Sewoong Oh, Pramod Viswanath:
Demystifying Fixed k-Nearest Neighbor Information Estimators. CoRR abs/1604.03006 (2016) - [i1]Weihao Gao, Sewoong Oh, Pramod Viswanath:
Breaking the Bandwidth Barrier: Geometrical Adaptive Entropy Estimation. CoRR abs/1609.02208 (2016) - 2014
- [c1]Weihao Gao, Yury Polyanskiy:
On the bit error rate of repeated error-correcting codes. CISS 2014: 1-6
Coauthor Index
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