Weihao Gao

71 papers A* 6A 3B 4Misc 1Journal 47Unranked 9
YearRankTypeTitle / Venue / Authors
2026 J jnl
AutoImageSeg: A zero-code image segmentation software toolkit.
SoftwareX
Weihao Gao, Jiarou Lu
2026 J jnl
Enabling Real-Time Colonoscopic Polyp Segmentation on Commodity CPUs via Ultra-Lightweight Architecture.
CoRR
Weihao Gao, Zhuo Deng, Zheng Gong, Lan Ma
2026 J jnl
Thinking by Subtraction: Confidence-Driven Contrastive Decoding for LLM Reasoning.
CoRR
Lexiang Tang, Weihao Gao, Bingchen Zhao, Lu Ma, Qiao Jin, Bang Yang, Yuexian Zou
2025 J jnl
A New Deep-learning-Based Approach For mRNA Optimization: High Fidelity, Computation Efficiency, and Multiple Optimization Factors.
CoRR
Zheng Gong, Ziyi Jiang, Weihao Gao, Zhuo Deng, Lan Ma
2025 J jnl
A predictive machine learning force-field framework for liquid electrolyte development.
Nat. Mac. Intell.
Sheng Gong, Yumin Zhang, Zhenliang Mu, Zhichen Pu, Hongyi Wang, Xu Han, Zhiao Yu, Mengyi Chen, Tianze Zheng, Zhi Wang, Lifei Chen, Zhenze Yang, Xiaojie Wu, Shaochen Shi, Weihao Gao, Wen Yan, Liang Xiang
2025 J jnl
ADF-OCT: An advanced Assistive Diagnosis Framework for study-level macular optical coherence tomography.
Inf. Fusion
Weihao Gao, Wangting Li, Dong Fang, Zheng Gong, Chucheng Chen, Zhuo Deng, Fuju Rong, Lu Chen, Lujia Feng, Canfeng Huang, Jia Liang, Yijing Zhuang, Pengxue Wei, Ting Xie, Zhiyuan Niu, Fang Li, Xianling Tang, Bing Zhang, Zixia Zhou, Shaochong Zhang, Lan Ma
2025 J jnl
AI-driven Prediction of Insulin Resistance in Normal Populations: Comparing Models and Criteria.
CoRR
Weihao Gao, Zhuo Deng, Zheng Gong, Ziyi Jiang, Lan Ma
2025 B conf
MRAFF: Multi-resolution Attention Feature Fusion Method for Multi-label Fundus Image Ocular Disease Screening.
IJCNN
Chucheng Chen, Zheng Gong, Weihao Gao, Zhuo Deng, Lei Shao, Li Dong, Wenbin Wei, Lan Ma
2025 J jnl
MolSculpt: Sculpting 3D Molecular Geometries from Chemical Syntax.
CoRR
Zhanpeng Chen, Weihao Gao, Shunyu Wang, Yanan Zhu, Hong Meng, Yuexian Zou
2025 J jnl
Revisiting the numerical feature embeddings structure in neural network-based tabular modelling.
Knowl. Based Syst.
Weihao Gao, Zheng Gong, Zhuo Deng, Lan Ma
2025 J jnl
Seed-Prover 1.5: Mastering Undergraduate-Level Theorem Proving via Learning from Experience.
CoRR
Jiangjie Chen, Wenxiang Chen, Jiacheng Du, Jinyi Hu, Zhicheng Jiang, Allan Jie, Xiaoran Jin, Xing Jin, Chenggang Li, Wenlei Shi, Zhihong Wang, Mingxuan Wang, Chenrui Wei, Shufa Wei, Huajian Xin, Fan Yang, Weihao Gao, Zheng Yuan, Tianyang Zhan, Zeyu Zheng, Tianxi Zhou, Thomas Hanwen Zhu
2025 — conf
Tumor Segmentation and Basal Diameter Prediction Network for Uveal Melanoma: TSBPNet-UM.
BIBM
Zheng Gong, Rui Song, Weihao Gao, Zhuo Deng, Lan Ma, Jingyan Yang, Haihan Zhang, Lei Shao, Wenbin Wei
2025 B conf
UMGen: Multi-scale and Multi-region Joint Prediction Pipeline for Uveal Melanoma Prognosis-related Gene Subtyping.
IJCNN
Zhuo Deng, Zheng Gong, Ruiheng Zhang, Li Dong, Weihao Gao, Lei Shao, Wenbin Wei, Lan Ma
2024 J jnl
A novel attention-based network for single image dehazing.
Vis. Comput.
Weihao Gao, Yongjun Zhang, Huachun Jian
2024 J jnl
Acquire Precise and Comparable Fundus Image Quality Score: FTHNet and FQS Dataset.
CoRR
Zheng Gong, Zhuo Deng, Run Gan, Zhiyuan Niu, Lu Chen, Canfeng Huang, Jia Liang, Weihao Gao, Fang Li, Shaochong Zhang, Lan Ma
2024 J jnl
BAMBOO: a predictive and transferable machine learning force field framework for liquid electrolyte development.
CoRR
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
2024 J jnl
Crystals with Transformers on Graphs, for Prediction of Unconventional Crystal Material Properties and the Benchmark.
CoRR
Hongyi Wang, Ji Sun, Jinzhe Liang, Li Zhai, Zitian Tang, Zijian Li, Wei Zhai, Xusheng Wang, Weihao Gao, Sheng Gong, Bolong Huang, Hua Zhang
2024 — conf
DBA-PMC: A Mutually Enhancing Dual-Branch Architecture for Pathologic Myopia and Myopic Maculopathy Classification.
ISBI
Chucheng Chen, Zheng Gong, Zhuo Deng, Weihao Gao, Fang Li, Lan Ma, Lei Shao, Ruiheng Zhang, Wenbin Wei
2024 J jnl
Dual-branch feature fusion dehazing network via multispectral channel attention.
Int. J. Mach. Learn. Cybern.
Huachun Jian, Yongjun Zhang, Weihao Gao, Bufan Wang, Guomei Wang
2024 — conf
Enhancing LM's Task Adaptability: Powerful Post-training Framework with Reinforcement Learning from Model Feedback.
ICANN (7)
Fuju Rong, Weihao Gao, Zhuo Deng, Zheng Gong, Chucheng Chen, Wenze Zhang, Zhiyuan Niu, Fang Li, Lan Ma
2024 J jnl
Exploiting local detail in single image super-resolution via hypergraph convolution.
Multim. Syst.
Bufan Wang, Yongjun Zhang, Weihao Gao, He Yao, Ruzhong Chen
2024 J jnl
FNeXter: A Multi-Scale Feature Fusion Network Based on ConvNeXt and Transformer for Retinal OCT Fluid Segmentation.
Sensors
Zhiyuan Niu, Zhuo Deng, Weihao Gao, Shurui Bai, Zheng Gong, Chucheng Chen, Fuju Rong, Fang Li, Lan Ma
2024 — conf
FTSEGNET: A Novel Transformer-Based Fundus Tumor Segmentation Model Guided by Pre-Trained Classification Results.
ISBI
Zhuo Deng, Zheng Gong, Weihao Gao, Jingyan Yang, Lei Shao, Fang Li, Wenbin Wei, Lan Ma
2024 J jnl
Multispectral attention-based network for single image deraining.
Signal Image Video Process.
Weihao Gao, Yongjun Zhang, Huachun Jian
2024 J jnl
OphGLM: An ophthalmology large language-and-vision assistant.
Artif. Intell. Medicine
Zhuo Deng, Weihao Gao, Chucheng Chen, Zhiyuan Niu, Zheng Gong, Ruiheng Zhang, Zhenjie Cao, Fang Li, Zhaoyi Ma, Wenbin Wei, Lan Ma
2024 — conf
Predicting City Origin-Destination Flow with Generative Pre-training.
ICANN (9)
Mingwei Zhang, Lizhong Gao, Qiao Wang, Weihao Gao
2024 — conf
ProTeM: Unifying Protein Function Prediction via Text Matching.
ICANN (8)
Ming Qin, Xun Li, Yuhao Wang, Zhenping Li, Hongbin Ye, Zongbing Wang, Weihao Gao, Shangsong Liang, Qiang Zhang, Keyan Ding
2024 J jnl
Sparse representation scheme with enhanced medium pixel intensity for face recognition.
CAAI Trans. Intell. Technol.
Xuexue Zhang, Yongjun Zhang, Zewei Wang, Wei Long, Weihao Gao, Bob Zhang
2024 J jnl
TabKANet: Tabular Data Modelling with Kolmogorov-Arnold Network and Transformer.
CoRR
Weihao Gao, Zheng Gong, Zhuo Deng, Fuju Rong, Chucheng Chen, Lan Ma
2024 J jnl
Versatile Cataract Fundus Image Restoration Model Utilizing Unpaired Cataract and High-quality Images.
CoRR
Zheng Gong, Zhuo Deng, Weihao Gao, Wenda Zhou, Yuhang Yang, Hanqing Zhao, Zhiyuan Niu, Lei Shao, Wen-Bin Wei, Lan Ma
2023 J jnl
A deraining with detail-recovery network via context aggregation.
Multim. Syst.
Weihao Gao, Yongjun Zhang, Wei Long, Zhongwei Cui
2023 A* conf
Machine Learning Force Fields with Data Cost Aware Training.
ICML
Alexander Bukharin, Tianyi Liu, Shengjie Wang, Simiao Zuo, Weihao Gao, Wen Yan, Tuo Zhao
2023 J jnl
Machine Learning Force Fields with Data Cost Aware Training.
CoRR
Alexander Bukharin, Tianyi Liu, Shengjie Wang, Simiao Zuo, Weihao Gao, Wen Yan, Tuo Zhao
2023 J jnl
OphGLM: Training an Ophthalmology Large Language-and-Vision Assistant based on Instructions and Dialogue.
CoRR
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
2022 A* conf
Label Leakage and Protection in Two-party Split Learning.
ICLR
Oscar Li, Jiankai Sun, Xin Yang, Weihao Gao, Hongyi Zhang, Junyuan Xie, Virginia Smith, Chong Wang
2022 J jnl
Learning Regularized Positional Encoding for Molecular Prediction.
CoRR
Xiang Gao, Weihao Gao, Wenzhi Xiao, Zhirui Wang, Chong Wang, Liang Xiang
2022 J jnl
Learning to Simulate Unseen Physical Systems with Graph Neural Networks.
CoRR
Ce Yang, Weihao Gao, Di Wu, Chong Wang
2022 A conf
PathFlow: A normalizing flow generator that finds transition paths.
UAI
Tianyi Liu, Weihao Gao, Zhirui Wang, Chong Wang
2022 J jnl
Supervised Pretraining for Molecular Force Fields and Properties Prediction.
CoRR
Xiang Gao, Weihao Gao, Wenzhi Xiao, Zhirui Wang, Chong Wang, Liang Xiang
2021 J jnl
Defending against Reconstruction Attack in Vertical Federated Learning.
CoRR
Jiankai Sun, Yuanshun Yao, Weihao Gao, Junyuan Xie, Chong Wang
2021 J jnl
Label Leakage and Protection in Two-party Split Learning.
CoRR
Oscar Li, Jiankai Sun, Xin Yang, Weihao Gao, Hongyi Zhang, Junyuan Xie, Virginia Smith, Chong Wang
2021 A conf
Learning An End-to-End Structure for Retrieval in Large-Scale Recommendations.
CIKM
Weihao Gao, Xiangjun Fan, Chong Wang, Jiankai Sun, Kai Jia, Wenzhi Xiao, Ruofan Ding, Xingyan Bin, Hui Yang, Xiaobing Liu
2021 J jnl
Learning Large-Time-Step Molecular Dynamics with Graph Neural Networks.
CoRR
Tianze Zheng, Weihao Gao, Chong Wang
2021 J jnl
One Backward from Ten Forward, Subsampling for Large-Scale Deep Learning.
CoRR
Chaosheng Dong, Xiaojie Jin, Weihao Gao, Yijia Wang, Hongyi Zhang, Xiang Wu, Jianchao Yang, Xiaobing Liu
2021 J jnl
Population Risk Improvement with Model Compression: An Information-Theoretic Approach.
Entropy
Yuheng Bu, Weihao Gao, Shaofeng Zou, Venugopal V. Veeravalli
2021 J jnl
Vertical Federated Learning without Revealing Intersection Membership.
CoRR
Jiankai Sun, Xin Yang, Yuanshun Yao, Aonan Zhang, Weihao Gao, Junyuan Xie, Chong Wang
2020 J jnl
Deep Retrieval: An End-to-End Learnable Structure Model for Large-Scale Recommendations.
CoRR
Weihao Gao, Xiangjun Fan, Jiankai Sun, Kai Jia, Wenzhi Xiao, Chong Wang, Xiaobing Liu
2020 A* conf
Information-Theoretic Understanding of Population Risk Improvement with Model Compression.
AAAI
Yuheng Bu, Weihao Gao, Shaofeng Zou, Venugopal V. Veeravalli
2019 — —
Information theory meets big data: Theory, algorithms and applications to deep learning
Weihao Gao
2019 J jnl
Information-Theoretic Understanding of Population Risk Improvement with Model Compression.
CoRR
Yuheng Bu, Weihao Gao, Shaofeng Zou, Venugopal V. Veeravalli
2019 A conf
Learning One-hidden-layer Neural Networks under General Input Distributions.
AISTATS
Weihao Gao, Ashok Vardhan Makkuva, Sewoong Oh, Pramod Viswanath
2019 A* conf
Rate Distortion For Model Compression: From Theory To Practice.
ICML
Weihao Gao, Yu-Han Liu, Chong Wang, Sewoong Oh
2018 J jnl
Breaking the Bandwidth Barrier: Geometrical Adaptive Entropy Estimation.
IEEE Trans. Inf. Theory
Weihao Gao, Sewoong Oh, Pramod Viswanath
2018 J jnl
Demystifying Fixed k-Nearest Neighbor Information Estimators.
IEEE Trans. Inf. Theory
Weihao Gao, Sewoong Oh, Pramod Viswanath
2018 J jnl
Learning One-hidden-layer Neural Networks under General Input Distributions.
CoRR
Weihao Gao, Ashok Vardhan Makkuva, Sewoong Oh, Pramod Viswanath
2018 J jnl
Rate Distortion For Model Compression: From Theory To Practice.
CoRR
Weihao Gao, Chong Wang, Sewoong Oh
2018 A* conf
The Nearest Neighbor Information Estimator is Adaptively Near Minimax Rate-Optimal.
NeurIPS
Jiantao Jiao, Weihao Gao, Yanjun Han
2017 B conf
Demystifying fixed k-nearest neighbor information estimators.
ISIT
Weihao Gao, Sewoong Oh, Pramod Viswanath
2017 J jnl
Density Functional Estimators with k-Nearest Neighbor Bandwidths.
CoRR
Weihao Gao, Sewoong Oh, Pramod Viswanath
2017 B conf
Density functional estimators with k-nearest neighbor bandwidths.
ISIT
Weihao Gao, Sewoong Oh, Pramod Viswanath
2017 — conf
Discovering Potential Correlations via Hypercontractivity.
NIPS
Hyeji Kim, Weihao Gao, Sreeram Kannan, Sewoong Oh, Pramod Viswanath
2017 J jnl
Discovering Potential Correlations via Hypercontractivity.
Entropy
Hyeji Kim, Weihao Gao, Sreeram Kannan, Sewoong Oh, Pramod Viswanath
2017 — conf
Estimating Mutual Information for Discrete-Continuous Mixtures.
NIPS
Weihao Gao, Sreeram Kannan, Sewoong Oh, Pramod Viswanath
2017 J jnl
Estimating Mutual Information for Discrete-Continuous Mixtures.
CoRR
Weihao Gao, Sreeram Kannan, Sewoong Oh, Pramod Viswanath
2017 J jnl
The Nearest Neighbor Information Estimator is Adaptively Near Minimax Rate-Optimal.
CoRR
Jiantao Jiao, Weihao Gao, Yanjun Han
2016 — conf
Breaking the Bandwidth Barrier: Geometrical Adaptive Entropy Estimation.
NIPS
Weihao Gao, Sewoong Oh, Pramod Viswanath
2016 J jnl
Breaking the Bandwidth Barrier: Geometrical Adaptive Entropy Estimation.
CoRR
Weihao Gao, Sewoong Oh, Pramod Viswanath
2016 J jnl
Causal Strength via Shannon Capacity: Axioms, Estimators and Applications.
CoRR
Weihao Gao, Sreeram Kannan, Sewoong Oh, Pramod Viswanath
2016 A* conf
Conditional Dependence via Shannon Capacity: Axioms, Estimators and Applications.
ICML
Weihao Gao, Sreeram Kannan, Sewoong Oh, Pramod Viswanath
2016 J jnl
Demystifying Fixed k-Nearest Neighbor Information Estimators.
CoRR
Weihao Gao, Sewoong Oh, Pramod Viswanath
2014 Misc conf
On the bit error rate of repeated error-correcting codes.
CISS
Weihao Gao, Yury Polyanskiy