Weihua Hu

According to our database, Weihua Hu authored at least 51 papers between 2003 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Relational Deep Learning: Graph Representation Learning on Relational Databases.

Matthias Fey, Weihua Hu, Kexin Huang, Jan Eric Lenssen, Rishabh Ranjan, Joshua Robinson, Rex Ying, Jiaxuan You, Jure Leskovec

CoRR, 2023

Temporal Graph Benchmark for Machine Learning on Temporal Graphs.

Shenyang Huang, Farimah Poursafaei, Jacob Danovitch, Matthias Fey, Weihua Hu, Emanuele Rossi, Jure Leskovec, Michael M. Bronstein, Guillaume Rabusseau, Reihaneh Rabbany

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

LE-MSFE-DDNet: a defect detection network based on low-light enhancement and multi-scale feature extraction.

Weihua Hu, Tao Wang, Yangsai Wang, Ziyang Chen, Guoheng Huang

Vis. Comput., 2022

GraphCast: Learning skillful medium-range global weather forecasting.

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

CoRR, 2022

TuneUp: A Training Strategy for Improving Generalization of Graph Neural Networks.

Weihua Hu, Kaidi Cao, Kexin Huang, Edward W. Huang, Karthik Subbian, Jure Leskovec

CoRR, 2022

Learning Backward Compatible Embeddings.

Weihua Hu, Rajas Bansal, Kaidi Cao, Nikhil Rao, Karthik Subbian, Jure Leskovec

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Extending the WILDS Benchmark for Unsupervised Adaptation.

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

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

ForceNet: A Graph Neural Network for Large-Scale Quantum Calculations.

Weihua Hu, Muhammed Shuaibi, Abhishek Das, Siddharth Goyal, Anuroop Sriram, Jure Leskovec, Devi Parikh, C. Lawrence Zitnick

CoRR, 2021

OGB-LSC: A Large-Scale Challenge for Machine Learning on Graphs.

Weihua Hu, Matthias Fey, Hongyu Ren, Maho Nakata, Yuxiao Dong, Jure Leskovec

Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

WILDS: A Benchmark of in-the-Wild Distribution Shifts.

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 S. Haque, Sara M. Beery, Jure Leskovec, Anshul Kundaje, Emma Pierson, Sergey Levine, Chelsea Finn, Percy Liang

Proceedings of the 38th International Conference on Machine Learning, 2021

2020

WILDS: A Benchmark of in-the-Wild Distribution Shifts.

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

CoRR, 2020

The Open Catalyst 2020 (OC20) Dataset and Community Challenges.

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 M. Wood, Junwoong Yoon, Devi Parikh, C. Lawrence Zitnick, Zachary W. Ulissi

CoRR, 2020

An Introduction to Electrocatalyst Design using Machine Learning for Renewable Energy Storage.

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 M. Wood, Junwoong Yoon, Devi Parikh, Zachary W. Ulissi

CoRR, 2020

Open Graph Benchmark: Datasets for Machine Learning on Graphs.

Weihua Hu, Matthias Fey, Marinka Zitnik, Yuxiao Dong, Hongyu Ren, Bowen Liu, Michele Catasta, Jure Leskovec

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Query2box: Reasoning over Knowledge Graphs in Vector Space Using Box Embeddings.

Hongyu Ren, Weihua Hu, Jure Leskovec

Proceedings of the 8th International Conference on Learning Representations, 2020

Strategies for Pre-training Graph Neural Networks.

Weihua Hu, Bowen Liu, Joseph Gomes, Marinka Zitnik, Percy Liang, Vijay S. Pande, Jure Leskovec

Proceedings of the 8th International Conference on Learning Representations, 2020

Secure Data Dissemination among Multiple Base Stations in High-Speed Railway Network.

Zhongbai Jiang, Yanwei Sun, Lei Shi, Weihua Hu, Zhaohui Liu

Proceedings of the 5th IEEE International Conference on Data Science in Cyberspace, 2020

2019

Unsupervised Discrete Representation Learning.

Weihua Hu, Takeru Miyato, Seiya Tokui, Eiichi Matsumoto, Masashi Sugiyama

Proceedings of the Explainable AI: Interpreting, 2019

Pre-training Graph Neural Networks.

Weihua Hu, Bowen Liu, Joseph Gomes, Marinka Zitnik, Percy Liang, Vijay S. Pande, Jure Leskovec

CoRR, 2019

How Powerful are Graph Neural Networks?

Keyulu Xu, Weihua Hu, Jure Leskovec, Stefanie Jegelka

Proceedings of the 7th International Conference on Learning Representations, 2019

2018

Co-sampling: Training Robust Networks for Extremely Noisy Supervision.

Bo Han, Quanming Yao, Xingrui Yu, Gang Niu, Miao Xu, Weihua Hu, Ivor W. Tsang, Masashi Sugiyama

CoRR, 2018

Co-teaching: Robust training of deep neural networks with extremely noisy labels.

Bo Han, Quanming Yao, Xingrui Yu, Gang Niu, Miao Xu, Weihua Hu, Ivor W. Tsang, Masashi Sugiyama

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Does Distributionally Robust Supervised Learning Give Robust Classifiers?

Weihua Hu, Gang Niu, Issei Sato, Masashi Sugiyama

Proceedings of the 35th International Conference on Machine Learning, 2018

2017

Worst-case Redundancy of Optimal Binary AIFV Codes and Their Extended Codes.

Weihua Hu, Hirosuke Yamamoto, Junya Honda

IEEE Trans. Inf. Theory, 2017

Learning from Complementary Labels.

Takashi Ishida, Gang Niu, Weihua Hu, Masashi Sugiyama

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

The construction of Chinese-English Parallel translation corpus.

Weihua Hu, Haizhen He

Proceedings of the 4th International Conference on Systems and Informatics, 2017

Learning Discrete Representations via Information Maximizing Self-Augmented Training.

Weihua Hu, Takeru Miyato, Seiya Tokui, Eiichi Matsumoto, Masashi Sugiyama

Proceedings of the 34th International Conference on Machine Learning, 2017

2016

Continuous Dynamic Monitoring of Lively Footbridges.

Elsa Sá Caetano, Álvaro Cunha, Carlos Moutinho, Weihua Hu

Int. J. Online Eng., 2016

Robust supervised learning under uncertainty in dataset shift.

Weihua Hu, Issei Sato, Masashi Sugiyama

CoRR, 2016

Tight upper bounds on the redundancy of optimal binary AIFV codes.

Weihua Hu, Hirosuke Yamamoto, Junya Honda

Proceedings of the IEEE International Symposium on Information Theory, 2016

A Framework for Big Data Security Analysis and the Semantic Technology.

Yuangang Yao, Lei Zhang, Jin Yi, Yong Peng, Weihua Hu, Lei Shi

Proceedings of the 6th International Conference on IT Convergence and Security, 2016

A Latent Concept Topic Model for Robust Topic Inference Using Word Embeddings.

Weihua Hu, Jun'ichi Tsujii

Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics, 2016

2015

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].

Bin Liu, Xinjian Luo, Rui Huang, Chao Wan, Bingbing Zhang, Weihua Hu, Zongge Yue

Comput. Medical Imaging Graph., 2015

Efficient Auto-Scaling Approach in the Telco Cloud Using Self-Learning Algorithm.

Pengcheng Tang, Fei Li, Wei Zhou, Weihua Hu, Li Yang

Proceedings of the 2015 IEEE Global Communications Conference, 2015

Dynamic monitoring of lively footbridges.

Elsa Sá Caetano, Álvaro Cunha, Carlos Moutinho, Weihua Hu

Proceedings of the 2015 3rd Experiment International Conference (exp.at'15), 2015

Dynamic monitoring of civil engineering structures.

Elsa Sá Caetano, Álvaro Cunha, Carlos Moutinho, Weihua Hu

Proceedings of the 2015 3rd Experiment International Conference (exp.at'15), 2015

2014

Virtual plate pre-bending for the long bone fracture based on axis pre-alignment.

Bin Liu, Xinjian Luo, Rui Huang, Chao Wan, Bingbing Zhang, Weihua Hu, Zongge Yue

Comput. Medical Imaging Graph., 2014

2013

Mobileflow: Toward software-defined mobile networks.

Kostas Pentikousis, Yan Wang, Weihua Hu

IEEE Commun. Mag., 2013

2010

Research on J2EE Teaching Based on Mainstream Open Source Frameworks.

Xiaoliang Xu, Weihua Hu

Proceedings of the 10th IEEE International Conference on Computer and Information Technology, 2010

2009

A Semantic and Adaptive Middleware Architecture for Pervasive Computing Systems.

Qing Wu, Weihua Hu, Wen Ding

J. Softw., 2009

Multi-level and Modulized Experimental Teaching Architecture for Computer Engineering.

Jianping Han, Rong Yang, Weihua Hu

Proceedings of the International Conference on Scalable Computing and Communications / Eighth International Conference on Embedded Computing, 2009

2008

Computer Ability Assisted Assessment System for Large-Scale Heterogeneous Distributed Environments.

Qing Wu, Wen Ding, Weihua Hu, Bishui Zhou, Tianzhou Chen

Proceedings of the 9th International Conference for Young Computer Scientists, 2008

Exploration and Practice on Teaching Java as Introductory Language for Non-CSE Major Students.

Jianping Han, Weihua Hu, Xiaoqing Feng

Proceedings of the 9th International Conference for Young Computer Scientists, 2008

A Linux-based Development and Application of Automatic Test System.

Wen Ding, Qing Wu, Weihua Hu, Zhiling Hu, Hongbiao Xie

Proceedings of the 9th International Conference for Young Computer Scientists, 2008

A Novel Approach for Network Event Correlation Based on Set Covering.

Qiuhua Zheng, Weihua Hu, Yuntao Qian, Min Yao, Xianglin Wang, Jing Chen

Proceedings of the Fifth International Conference on Fuzzy Systems and Knowledge Discovery, 2008

2007

Embedded education for Computer Rank Examination.

Tianzhou Chen, Weihua Hu, Qingsong Shi, Hui Yan

Proceedings of the 13th International Conference on Parallel and Distributed Systems, 2007

2006

Research of Virtual Campus Environment Study Using VRML.

Weihua Hu, Chuying Ke, Guorong Wang

Proceedings of the Technologies for E-Learning and Digital Entertainment, 2006

2005

Interactive learning of CG in networked virtual environments.

Zhigeng Pan, Jiejie Zhu, Weihua Hu, Hung Pak Lun, Xin Zhou

Comput. Graph., 2005

Collaborative Virtual Learning Environment Using Synthetic Characters.

Zhigeng Pan, Jiejie Zhu, Mingmin Zhang, Weihua Hu

Proceedings of the Advances in Web-Based Learning - ICWL 2005, 4th International Conference, Hong Kong, China, July 31, 2005

2003

Exploring an Agent-Driven 3D Learning Environment for Computer Graphics Education.

Weihua Hu, Jiejie Zhu, Zhigeng Pan

Proceedings of the Intelligent Agents, 4th International Workshop, 2003

Learning by doing: A Case for Constructivist 3D Virtual Learning Environment.

Weihua Hu, Jiejie Zhu, Zhigeng Pan, Yanfeng Li, Cunhui Ju

Proceedings of the 24th Annual Conference of the European Association for Computer Graphics, 2003