Weihua Hu

Publication Activity (10 Years)

Years Active: 2003-2024
Publications (10 Years): 44

Top Topics

Civil Engineering

Graph Representation

Top Venues

Publications

Joshua Robinson, Rishabh Ranjan, Weihua Hu, Kexin Huang, Jiaqi Han, Alejandro Dobles, Matthias Fey, Jan Eric Lenssen, Yiwen Yuan, Zecheng Zhang, Xinwei He, Jure Leskovec
RelBench: A Benchmark for Deep Learning on Relational Databases. CoRR (2024)
Jialin Chen, Jan Eric Lenssen, Aosong Feng, Weihua Hu, Matthias Fey, Leandros Tassiulas, Jure Leskovec, Rex Ying
From Similarity to Superiority: Channel Clustering for Time Series Forecasting. CoRR (2024)
Weihua Hu, Yiwen Yuan, Zecheng Zhang, Akihiro Nitta, Kaidi Cao, Vid Kocijan, Jure Leskovec, Matthias Fey
PyTorch Frame: A Modular Framework for Multi-Modal Tabular Learning. CoRR (2024)
Shiyao Xie, Wenjing Zhao, Guanghui Deng, Guohua He, Na He, Zhenhua Lu, Weihua Hu, Mingming Zhao, Jian Du
Utilizing ChatGPT as a scientific reasoning engine to differentiate conflicting evidence and summarize challenges in controversial clinical questions. J. Am. Medical Informatics Assoc. 31 (7) (2024)
Matthias Fey, Weihua Hu, Kexin Huang, Jan Eric Lenssen, Rishabh Ranjan, Joshua Robinson, Rex Ying, Jiaxuan You, Jure Leskovec
Relational Deep Learning: Graph Representation Learning on Relational Databases. CoRR (2023)
Shenyang Huang, Farimah Poursafaei, Jacob Danovitch, Matthias Fey, Weihua Hu, Emanuele Rossi, Jure Leskovec, Michael M. Bronstein, Guillaume Rabusseau, Reihaneh Rabbany
Temporal Graph Benchmark for Machine Learning on Temporal Graphs. CoRR (2023)
Shenyang Huang, Farimah Poursafaei, Jacob Danovitch, Matthias Fey, Weihua Hu, Emanuele Rossi, Jure Leskovec, Michael M. Bronstein, Guillaume Rabusseau, Reihaneh Rabbany
Temporal Graph Benchmark for Machine Learning on Temporal Graphs. NeurIPS (2023)
Weihua Hu, Tao Wang, Yangsai Wang, Ziyang Chen, Guoheng Huang
LE-MSFE-DDNet: a defect detection network based on low-light enhancement and multi-scale feature extraction. Vis. Comput. 38 (11) (2022)
Weihua Hu, Rajas Bansal, Kaidi Cao, Nikhil Rao, Karthik Subbian, Jure Leskovec
Learning Backward Compatible Embeddings. KDD (2022)
Weihua Hu, Kaidi Cao, Kexin Huang, Edward W. Huang, Karthik Subbian, Jure Leskovec
TuneUp: A Training Strategy for Improving Generalization of Graph Neural Networks. CoRR (2022)
Shiori Sagawa, Pang Wei Koh, Tony Lee, Irena Gao, Sang Michael Xie, Kendrick Shen, Ananya Kumar, Weihua Hu, Michihiro Yasunaga, Henrik Marklund, Sara Beery, Etienne David, Ian Stavness, Wei Guo, Jure Leskovec, Kate Saenko, Tatsunori Hashimoto, Sergey Levine, Chelsea Finn, Percy Liang
Extending the WILDS Benchmark for Unsupervised Adaptation. ICLR (2022)
Weihua Hu, Rajas Bansal, Kaidi Cao, Nikhil Rao, Karthik Subbian, Jure Leskovec
Learning Backward Compatible Embeddings. CoRR (2022)
Rémi Lam, Alvaro Sanchez-Gonzalez, Matthew Willson, Peter Wirnsberger, Meire Fortunato, Alexander Pritzel, Suman V. Ravuri, Timo Ewalds, Ferran Alet, Zach Eaton-Rosen, Weihua Hu, Alexander Merose, Stephan Hoyer, George Holland, Jacklynn Stott, Oriol Vinyals, Shakir Mohamed, Peter W. Battaglia
GraphCast: Learning skillful medium-range global weather forecasting. CoRR (2022)
Weihua Hu, Matthias Fey, Hongyu Ren, Maho Nakata, Yuxiao Dong, Jure Leskovec
OGB-LSC: A Large-Scale Challenge for Machine Learning on Graphs. NeurIPS Datasets and Benchmarks (2021)
Weihua Hu, Matthias Fey, Hongyu Ren, Maho Nakata, Yuxiao Dong, Jure Leskovec
OGB-LSC: A Large-Scale Challenge for Machine Learning on Graphs. CoRR (2021)
Weihua Hu, Muhammed Shuaibi, Abhishek Das, Siddharth Goyal, Anuroop Sriram, Jure Leskovec, Devi Parikh, C. Lawrence Zitnick
ForceNet: A Graph Neural Network for Large-Scale Quantum Calculations. CoRR (2021)
Pang Wei Koh, Shiori Sagawa, Henrik Marklund, Sang Michael Xie, Marvin Zhang, Akshay Balsubramani, Weihua Hu, Michihiro Yasunaga, Richard Lanas Phillips, Irena Gao, Tony Lee, Etienne David, Ian Stavness, Wei Guo, Berton Earnshaw, Imran Haque, Sara M. Beery, Jure Leskovec, Anshul Kundaje, Emma Pierson, Sergey Levine, Chelsea Finn, Percy Liang
WILDS: A Benchmark of in-the-Wild Distribution Shifts. ICML (2021)
Shiori Sagawa, Pang Wei Koh, Tony Lee, Irena Gao, Sang Michael Xie, Kendrick Shen, Ananya Kumar, Weihua Hu, Michihiro Yasunaga, Henrik Marklund, Sara Beery, Etienne David, Ian Stavness, Wei Guo, Jure Leskovec, Kate Saenko, Tatsunori Hashimoto, Sergey Levine, Chelsea Finn, Percy Liang
Extending the WILDS Benchmark for Unsupervised Adaptation. CoRR (2021)
Weihua Hu, Bowen Liu, Joseph Gomes, Marinka Zitnik, Percy Liang, Vijay S. Pande, Jure Leskovec
Strategies for Pre-training Graph Neural Networks. ICLR (2020)
Pang Wei Koh, Shiori Sagawa, Henrik Marklund, Sang Michael Xie, Marvin Zhang, Akshay Balsubramani, Weihua Hu, Michihiro Yasunaga, Richard Lanas Phillips, Sara Beery, Jure Leskovec, Anshul Kundaje, Emma Pierson, Sergey Levine, Chelsea Finn, Percy Liang
WILDS: A Benchmark of in-the-Wild Distribution Shifts. CoRR (2020)
Weihua Hu, Matthias Fey, Marinka Zitnik, Yuxiao Dong, Hongyu Ren, Bowen Liu, Michele Catasta, Jure Leskovec
Open Graph Benchmark: Datasets for Machine Learning on Graphs. NeurIPS (2020)
Hongyu Ren, Weihua Hu, Jure Leskovec
Query2box: Reasoning over Knowledge Graphs in Vector Space using Box Embeddings. CoRR (2020)
C. Lawrence Zitnick, Lowik Chanussot, Abhishek Das, Siddharth Goyal, Javier Heras-Domingo, Caleb Ho, Weihua Hu, Thibaut Lavril, Aini Palizhati, Morgane Riviere, Muhammed Shuaibi, Anuroop Sriram, Kevin Tran, Brandon Wood, Junwoong Yoon, Devi Parikh, Zachary W. Ulissi
An Introduction to Electrocatalyst Design using Machine Learning for Renewable Energy Storage. CoRR (2020)
Lowik Chanussot, Abhishek Das, Siddharth Goyal, Thibaut Lavril, Muhammed Shuaibi, Morgane Riviere, Kevin Tran, Javier Heras-Domingo, Caleb Ho, Weihua Hu, Aini Palizhati, Anuroop Sriram, Brandon Wood, Junwoong Yoon, Devi Parikh, C. Lawrence Zitnick, Zachary W. Ulissi
The Open Catalyst 2020 (OC20) Dataset and Community Challenges. CoRR (2020)
Weihua Hu, Matthias Fey, Marinka Zitnik, Yuxiao Dong, Hongyu Ren, Bowen Liu, Michele Catasta, Jure Leskovec
Open Graph Benchmark: Datasets for Machine Learning on Graphs. CoRR (2020)
Zhongbai Jiang, Yanwei Sun, Lei Shi, Weihua Hu, Zhaohui Liu
Secure Data Dissemination among Multiple Base Stations in High-Speed Railway Network. DSC (2020)
Hongyu Ren, Weihua Hu, Jure Leskovec
Query2box: Reasoning over Knowledge Graphs in Vector Space Using Box Embeddings. ICLR (2020)
Keyulu Xu, Weihua Hu, Jure Leskovec, Stefanie Jegelka
How Powerful are Graph Neural Networks? ICLR (2019)
Weihua Hu, Bowen Liu, Joseph Gomes, Marinka Zitnik, Percy Liang, Vijay S. Pande, Jure Leskovec
Pre-training Graph Neural Networks. CoRR (2019)
Weihua Hu, Gang Niu, Issei Sato, Masashi Sugiyama
Does Distributionally Robust Supervised Learning Give Robust Classifiers? ICML (2018)
Bo Han, Quanming Yao, Xingrui Yu, Gang Niu, Miao Xu, Weihua Hu, Ivor W. Tsang, Masashi Sugiyama
Co-teaching: Robust training of deep neural networks with extremely noisy labels. NeurIPS (2018)
Bo Han, Quanming Yao, Xingrui Yu, Gang Niu, Miao Xu, Weihua Hu, Ivor W. Tsang, Masashi Sugiyama
Co-sampling: Training Robust Networks for Extremely Noisy Supervision. CoRR (2018)
Keyulu Xu, Weihua Hu, Jure Leskovec, Stefanie Jegelka
How Powerful are Graph Neural Networks? CoRR (2018)
Weihua Hu, Takeru Miyato, Seiya Tokui, Eiichi Matsumoto, Masashi Sugiyama
Learning Discrete Representations via Information Maximizing Self-Augmented Training. ICML (2017)
Weihua Hu, Takeru Miyato, Seiya Tokui, Eiichi Matsumoto, Masashi Sugiyama
Learning Discrete Representations via Information Maximizing Self Augmented Training. CoRR (2017)
Weihua Hu, Haizhen He
The construction of Chinese-English Parallel translation corpus. ICSAI (2017)
Takashi Ishida, Gang Niu, Weihua Hu, Masashi Sugiyama
Learning from Complementary Labels. NIPS (2017)
Weihua Hu, Hirosuke Yamamoto, Junya Honda
Worst-case Redundancy of Optimal Binary AIFV Codes and Their Extended Codes. IEEE Trans. Inf. Theory 63 (8) (2017)
Weihua Hu, Issei Sato, Masashi Sugiyama
Robust supervised learning under uncertainty in dataset shift. CoRR (2016)
Weihua Hu, Jun'ichi Tsujii
A Latent Concept Topic Model for Robust Topic Inference Using Word Embeddings. ACL (2) (2016)
Elsa Sá Caetano, Álvaro Cunha, Carlos Moutinho, Weihua Hu
Continuous Dynamic Monitoring of Lively Footbridges. Int. J. Online Eng. 12 (4) (2016)
Weihua Hu, Hirosuke Yamamoto, Junya Honda
Worst-case Redundancy of Optimal Binary AIFV Codes and their Extended Codes. CoRR (2016)
Yuangang Yao, Lei Zhang, Jin Yi, Yong Peng, Weihua Hu, Lei Shi
A Framework for Big Data Security Analysis and the Semantic Technology. ICITCS (2016)
Weihua Hu, Hirosuke Yamamoto, Junya Honda
Tight upper bounds on the redundancy of optimal binary AIFV codes. ISIT (2016)
Bin Liu, Xinjian Luo, Rui Huang, Chao Wan, Bingbing Zhang, Weihua Hu, Zongge Yue
Corrigendum to: "Virtual plate pre-bending for the long bone fracture based on axis pre-alignment" [Computerized Medical Imaging and Graphics. 38 (4) (2014) 233-244]. Comput. Medical Imaging Graph. 43 (2015)
Elsa Sá Caetano, Álvaro Cunha, Carlos Moutinho, Weihua Hu
Dynamic monitoring of lively footbridges. exp.at (2015)
Elsa Sá Caetano, Álvaro Cunha, Carlos Moutinho, Weihua Hu
Dynamic monitoring of civil engineering structures. exp.at (2015)
Pengcheng Tang, Fei Li, Wei Zhou, Weihua Hu, Li Yang
Efficient Auto-Scaling Approach in the Telco Cloud Using Self-Learning Algorithm. GLOBECOM (2015)
Bin Liu, Xinjian Luo, Rui Huang, Chao Wan, Bingbing Zhang, Weihua Hu, Zongge Yue
Virtual plate pre-bending for the long bone fracture based on axis pre-alignment. Comput. Medical Imaging Graph. 38 (4) (2014)
Kostas Pentikousis, Yan Wang, Weihua Hu
Mobileflow: Toward software-defined mobile networks. IEEE Commun. Mag. 51 (7) (2013)
Xiaoliang Xu, Weihua Hu
Research on J2EE Teaching Based on Mainstream Open Source Frameworks. CIT (2010)
Jianping Han, Rong Yang, Weihua Hu
Multi-level and Modulized Experimental Teaching Architecture for Computer Engineering. ScalCom-EmbeddedCom (2009)
Qing Wu, Weihua Hu, Wen Ding
A Semantic and Adaptive Middleware Architecture for Pervasive Computing Systems. J. Softw. 4 (10) (2009)
Wen Ding, Qing Wu, Weihua Hu, Zhiling Hu, Hongbiao Xie
A Linux-based Development and Application of Automatic Test System. ICYCS (2008)
Qing Wu, Wen Ding, Weihua Hu, Bishui Zhou, Tianzhou Chen
Computer Ability Assisted Assessment System for Large-Scale Heterogeneous Distributed Environments. ICYCS (2008)
Qiuhua Zheng, Weihua Hu, Yuntao Qian, Min Yao, Xianglin Wang, Jing Chen
A Novel Approach for Network Event Correlation Based on Set Covering. FSKD (3) (2008)
Jianping Han, Weihua Hu, Xiaoqing Feng
Exploration and Practice on Teaching Java as Introductory Language for Non-CSE Major Students. ICYCS (2008)
Tianzhou Chen, Weihua Hu, Qingsong Shi, Hui Yan
Embedded education for Computer Rank Examination. ICPADS (2007)
Weihua Hu, Chuying Ke, Guorong Wang
Research of Virtual Campus Environment Study Using VRML. Edutainment (2006)
Zhigeng Pan, Jiejie Zhu, Mingmin Zhang, Weihua Hu
Collaborative Virtual Learning Environment Using Synthetic Characters. ICWL (2005)
Zhigeng Pan, Jiejie Zhu, Weihua Hu, Hung Pak Lun, Xin Zhou
Interactive learning of CG in networked virtual environments. Comput. Graph. 29 (2) (2005)
Weihua Hu, Jiejie Zhu, Zhigeng Pan, Yanfeng Li, Cunhui Ju
Learning by doing: A Case for Constructivist 3D Virtual Learning Environment. Eurographics (Education Papers) (2003)
Weihua Hu, Jiejie Zhu, Zhigeng Pan
Exploring an Agent-Driven 3D Learning Environment for Computer Graphics Education. IVA (2003)