Weihua Hu

69 papers A* 14B 4C 1Journal 32Unranked 17
YearRankTypeTitle / Venue / Authors
2025 A* conf
ContextGNN: Beyond Two-Tower Recommendation Systems.
ICLR
Yiwen Yuan, Zecheng Zhang, Xinwei He, Akihiro Nitta, Weihua Hu, Manan Shah, Blaz Stojanovic, Shenyang Huang, Jan Eric Lenssen, Jure Leskovec, Matthias Fey
2024 J jnl
ContextGNN: Beyond Two-Tower Recommendation Systems.
CoRR
Yiwen Yuan, Zecheng Zhang, Xinwei He, Akihiro Nitta, Weihua Hu, Dong Wang, Manan Shah, Shenyang Huang, Blaz Stojanovic, Alan Krumholz, Jan Eric Lenssen, Jure Leskovec, Matthias Fey
2024 A* conf
From Similarity to Superiority: Channel Clustering for Time Series Forecasting.
NeurIPS
Jialin Chen, Jan Eric Lenssen, Aosong Feng, Weihua Hu, Matthias Fey, Leandros Tassiulas, Jure Leskovec, Rex Ying
2024 J jnl
From Similarity to Superiority: Channel Clustering for Time Series Forecasting.
CoRR
Jialin Chen, Jan Eric Lenssen, Aosong Feng, Weihua Hu, Matthias Fey, Leandros Tassiulas, Jure Leskovec, Rex Ying
2024 A* conf
Position: Relational Deep Learning - Graph Representation Learning on Relational Databases.
ICML
Matthias Fey, Weihua Hu, Kexin Huang, Jan Eric Lenssen, Rishabh Ranjan, Joshua Robinson, Rex Ying, Jiaxuan You, Jure Leskovec
2024 J jnl
PyTorch Frame: A Modular Framework for Multi-Modal Tabular Learning.
CoRR
Weihua Hu, Yiwen Yuan, Zecheng Zhang, Akihiro Nitta, Kaidi Cao, Vid Kocijan, Jure Leskovec, Matthias Fey
2024 A* conf
RelBench: A Benchmark for Deep Learning on Relational Databases.
NeurIPS
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
2024 J jnl
RelBench: A Benchmark for Deep Learning on Relational Databases.
CoRR
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
2024 J jnl
Utilizing ChatGPT as a scientific reasoning engine to differentiate conflicting evidence and summarize challenges in controversial clinical questions.
J. Am. Medical Informatics Assoc.
Shiyao Xie, Wenjing Zhao, Guanghui Deng, Guohua He, Na He, Zhenhua Lu, Weihua Hu, Mingming Zhao, Jian Du
2023 J jnl
Relational Deep Learning: Graph Representation Learning on Relational Databases.
CoRR
Matthias Fey, Weihua Hu, Kexin Huang, Jan Eric Lenssen, Rishabh Ranjan, Joshua Robinson, Rex Ying, Jiaxuan You, Jure Leskovec
2023 A* conf
Temporal Graph Benchmark for Machine Learning on Temporal Graphs.
NeurIPS
Shenyang Huang, Farimah Poursafaei, Jacob Danovitch, Matthias Fey, Weihua Hu, Emanuele Rossi, Jure Leskovec, Michael M. Bronstein, Guillaume Rabusseau, Reihaneh Rabbany
2023 J jnl
Temporal Graph Benchmark for Machine Learning on Temporal Graphs.
CoRR
Shenyang Huang, Farimah Poursafaei, Jacob Danovitch, Matthias Fey, Weihua Hu, Emanuele Rossi, Jure Leskovec, Michael M. Bronstein, Guillaume Rabusseau, Reihaneh Rabbany
2022 A* conf
Extending the WILDS Benchmark for Unsupervised Adaptation.
ICLR
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
2022 J jnl
GraphCast: Learning skillful medium-range global weather forecasting.
CoRR
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
2022 J jnl
LE-MSFE-DDNet: a defect detection network based on low-light enhancement and multi-scale feature extraction.
Vis. Comput.
Weihua Hu, Tao Wang, Yangsai Wang, Ziyang Chen, Guoheng Huang
2022 A* conf
Learning Backward Compatible Embeddings.
KDD
Weihua Hu, Rajas Bansal, Kaidi Cao, Nikhil Rao, Karthik Subbian, Jure Leskovec
2022 J jnl
Learning Backward Compatible Embeddings.
CoRR
Weihua Hu, Rajas Bansal, Kaidi Cao, Nikhil Rao, Karthik Subbian, Jure Leskovec
2022 J jnl
TuneUp: A Training Strategy for Improving Generalization of Graph Neural Networks.
CoRR
Weihua Hu, Kaidi Cao, Kexin Huang, Edward W. Huang, Karthik Subbian, Jure Leskovec
2021 J jnl
Extending the WILDS Benchmark for Unsupervised Adaptation.
CoRR
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
2021 J jnl
ForceNet: A Graph Neural Network for Large-Scale Quantum Calculations.
CoRR
Weihua Hu, Muhammed Shuaibi, Abhishek Das, Siddharth Goyal, Anuroop Sriram, Jure Leskovec, Devi Parikh, C. Lawrence Zitnick
2021 — conf
OGB-LSC: A Large-Scale Challenge for Machine Learning on Graphs.
NeurIPS Datasets and Benchmarks
Weihua Hu, Matthias Fey, Hongyu Ren, Maho Nakata, Yuxiao Dong, Jure Leskovec
2021 J jnl
OGB-LSC: A Large-Scale Challenge for Machine Learning on Graphs.
CoRR
Weihua Hu, Matthias Fey, Hongyu Ren, Maho Nakata, Yuxiao Dong, Jure Leskovec
2021 A* conf
WILDS: A Benchmark of in-the-Wild Distribution Shifts.
ICML
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
2020 J jnl
An Introduction to Electrocatalyst Design using Machine Learning for Renewable Energy Storage.
CoRR
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
2020 A* conf
Open Graph Benchmark: Datasets for Machine Learning on Graphs.
NeurIPS
Weihua Hu, Matthias Fey, Marinka Zitnik, Yuxiao Dong, Hongyu Ren, Bowen Liu, Michele Catasta, Jure Leskovec
2020 J jnl
Open Graph Benchmark: Datasets for Machine Learning on Graphs.
CoRR
Weihua Hu, Matthias Fey, Marinka Zitnik, Yuxiao Dong, Hongyu Ren, Bowen Liu, Michele Catasta, Jure Leskovec
2020 A* conf
Query2box: Reasoning over Knowledge Graphs in Vector Space Using Box Embeddings.
ICLR
Hongyu Ren, Weihua Hu, Jure Leskovec
2020 J jnl
Query2box: Reasoning over Knowledge Graphs in Vector Space using Box Embeddings.
CoRR
Hongyu Ren, Weihua Hu, Jure Leskovec
2020 — conf
Secure Data Dissemination among Multiple Base Stations in High-Speed Railway Network.
DSC
Zhongbai Jiang, Yanwei Sun, Lei Shi, Weihua Hu, Zhaohui Liu
2020 A* conf
Strategies for Pre-training Graph Neural Networks.
ICLR
Weihua Hu, Bowen Liu, Joseph Gomes, Marinka Zitnik, Percy Liang, Vijay S. Pande, Jure Leskovec
2020 J jnl
The Open Catalyst 2020 (OC20) Dataset and Community Challenges.
CoRR
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
2020 J jnl
WILDS: A Benchmark of in-the-Wild Distribution Shifts.
CoRR
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
2019 — conf
How Powerful are Graph Neural Networks?
ICLR
Keyulu Xu, Weihua Hu, Jure Leskovec, Stefanie Jegelka
2019 J jnl
Pre-training Graph Neural Networks.
CoRR
Weihua Hu, Bowen Liu, Joseph Gomes, Marinka Zitnik, Percy Liang, Vijay S. Pande, Jure Leskovec
2019 — ch.
Unsupervised Discrete Representation Learning.
Explainable AI
Weihua Hu, Takeru Miyato, Seiya Tokui, Eiichi Matsumoto, Masashi Sugiyama
2018 J jnl
Co-sampling: Training Robust Networks for Extremely Noisy Supervision.
CoRR
Bo Han, Quanming Yao, Xingrui Yu, Gang Niu, Miao Xu, Weihua Hu, Ivor W. Tsang, Masashi Sugiyama
2018 A* conf
Co-teaching: Robust training of deep neural networks with extremely noisy labels.
NeurIPS
Bo Han, Quanming Yao, Xingrui Yu, Gang Niu, Miao Xu, Weihua Hu, Ivor W. Tsang, Masashi Sugiyama
2018 A* conf
Does Distributionally Robust Supervised Learning Give Robust Classifiers?
ICML
Weihua Hu, Gang Niu, Issei Sato, Masashi Sugiyama
2018 J jnl
How Powerful are Graph Neural Networks?
CoRR
Keyulu Xu, Weihua Hu, Jure Leskovec, Stefanie Jegelka
2017 J jnl
Learning Discrete Representations via Information Maximizing Self Augmented Training.
CoRR
Weihua Hu, Takeru Miyato, Seiya Tokui, Eiichi Matsumoto, Masashi Sugiyama
2017 A* conf
Learning Discrete Representations via Information Maximizing Self-Augmented Training.
ICML
Weihua Hu, Takeru Miyato, Seiya Tokui, Eiichi Matsumoto, Masashi Sugiyama
2017 — conf
Learning from Complementary Labels.
NIPS
Takashi Ishida, Gang Niu, Weihua Hu, Masashi Sugiyama
2017 — conf
The construction of Chinese-English Parallel translation corpus.
ICSAI
Weihua Hu, Haizhen He
2017 J jnl
Worst-case Redundancy of Optimal Binary AIFV Codes and Their Extended Codes.
IEEE Trans. Inf. Theory
Weihua Hu, Hirosuke Yamamoto, Junya Honda
2016 — conf
A Framework for Big Data Security Analysis and the Semantic Technology.
ICITCS
Yuangang Yao, Lei Zhang, Jin Yi, Yong Peng, Weihua Hu, Lei Shi
2016 — conf
A Latent Concept Topic Model for Robust Topic Inference Using Word Embeddings.
ACL (2)
Weihua Hu, Jun'ichi Tsujii
2016 J jnl
Continuous Dynamic Monitoring of Lively Footbridges.
Int. J. Online Eng.
Elsa Sá Caetano, Álvaro Cunha, Carlos Moutinho, Weihua Hu
2016 J jnl
Robust supervised learning under uncertainty in dataset shift.
CoRR
Weihua Hu, Issei Sato, Masashi Sugiyama
2016 B conf
Tight upper bounds on the redundancy of optimal binary AIFV codes.
ISIT
Weihua Hu, Hirosuke Yamamoto, Junya Honda
2016 J jnl
Worst-case Redundancy of Optimal Binary AIFV Codes and their Extended Codes.
CoRR
Weihua Hu, Hirosuke Yamamoto, Junya Honda
2015 J jnl
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.
Bin Liu, Xinjian Luo, Rui Huang, Chao Wan, Bingbing Zhang, Weihua Hu, Zongge Yue
2015 — conf
Dynamic monitoring of civil engineering structures.
exp.at
Elsa Sá Caetano, Álvaro Cunha, Carlos Moutinho, Weihua Hu
2015 — conf
Dynamic monitoring of lively footbridges.
exp.at
Elsa Sá Caetano, Álvaro Cunha, Carlos Moutinho, Weihua Hu
2015 B conf
Efficient Auto-Scaling Approach in the Telco Cloud Using Self-Learning Algorithm.
GLOBECOM
Pengcheng Tang, Fei Li, Wei Zhou, Weihua Hu, Li Yang
2014 J jnl
Virtual plate pre-bending for the long bone fracture based on axis pre-alignment.
Comput. Medical Imaging Graph.
Bin Liu, Xinjian Luo, Rui Huang, Chao Wan, Bingbing Zhang, Weihua Hu, Zongge Yue
2013 J jnl
Mobileflow: Toward software-defined mobile networks.
IEEE Commun. Mag.
Kostas Pentikousis, Yan Wang, Weihua Hu
2010 C conf
Research on J2EE Teaching Based on Mainstream Open Source Frameworks.
CIT
Xiaoliang Xu, Weihua Hu
2009 J jnl
A Semantic and Adaptive Middleware Architecture for Pervasive Computing Systems.
J. Softw.
Qing Wu, Weihua Hu, Wen Ding
2009 — conf
Multi-level and Modulized Experimental Teaching Architecture for Computer Engineering.
ScalCom-EmbeddedCom
Jianping Han, Rong Yang, Weihua Hu
2008 — conf
A Linux-based Development and Application of Automatic Test System.
ICYCS
Wen Ding, Qing Wu, Weihua Hu, Zhiling Hu, Hongbiao Xie
2008 — conf
A Novel Approach for Network Event Correlation Based on Set Covering.
FSKD (3)
Qiuhua Zheng, Weihua Hu, Yuntao Qian, Min Yao, Xianglin Wang, Jing Chen
2008 — conf
Computer Ability Assisted Assessment System for Large-Scale Heterogeneous Distributed Environments.
ICYCS
Qing Wu, Wen Ding, Weihua Hu, Bishui Zhou, Tianzhou Chen
2008 — conf
Exploration and Practice on Teaching Java as Introductory Language for Non-CSE Major Students.
ICYCS
Jianping Han, Weihua Hu, Xiaoqing Feng
2007 B conf
Embedded education for Computer Rank Examination.
ICPADS
Tianzhou Chen, Weihua Hu, Qingsong Shi, Hui Yan
2006 — conf
Research of Virtual Campus Environment Study Using VRML.
Edutainment
Weihua Hu, Chuying Ke, Guorong Wang
2005 — conf
Collaborative Virtual Learning Environment Using Synthetic Characters.
ICWL
Zhigeng Pan, Jiejie Zhu, Mingmin Zhang, Weihua Hu
2005 J jnl
Interactive learning of CG in networked virtual environments.
Comput. Graph.
Zhigeng Pan, Jiejie Zhu, Weihua Hu, Hung Pak Lun, Xin Zhou
2003 B conf
Exploring an Agent-Driven 3D Learning Environment for Computer Graphics Education.
IVA
Weihua Hu, Jiejie Zhu, Zhigeng Pan
2003 — conf
Learning by doing: A Case for Constructivist 3D Virtual Learning Environment.
Eurographics (Education Papers)
Weihua Hu, Jiejie Zhu, Zhigeng Pan, Yanfeng Li, Cunhui Ju