Weihua Hu
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
15
Venues
8
Active years
2003–2025
Best venue rank
A*
Where they publish
Papers
15 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | ICLR | ContextGNN: Beyond Two-Tower Recommendation Systems. | Yiwen Yuan, Zecheng Zhang, Xinwei He, Akihiro Nitta, Weihua Hu, Manan Shah, Blaz Stojanovic, Shenyang Huang, Jan Eric Lenssen, Jure Leskovec, Matthias Fey |
| 2024 | ICML | Position: 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 |
| 2022 | ICLR | 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 |
| 2022 | KDD | Learning Backward Compatible Embeddings. | Weihua Hu, Rajas Bansal, Kaidi Cao, Nikhil Rao, Karthik Subbian, Jure Leskovec |
| 2021 | ICML | 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 |
| 2020 | ICLR | Strategies for Pre-training Graph Neural Networks. | Weihua Hu, Bowen Liu, Joseph Gomes, Marinka Zitnik, Percy Liang, Vijay S. Pande, Jure Leskovec |
| 2020 | ICLR | Query2box: Reasoning over Knowledge Graphs in Vector Space Using Box Embeddings. | Hongyu Ren, Weihua Hu, Jure Leskovec |
| 2019 | ICLR | How Powerful are Graph Neural Networks? | Keyulu Xu, Weihua Hu, Jure Leskovec, Stefanie Jegelka |
| 2018 | ICML | Does Distributionally Robust Supervised Learning Give Robust Classifiers? | Weihua Hu, Gang Niu, Issei Sato, Masashi Sugiyama |
| 2017 | ICML | Learning Discrete Representations via Information Maximizing Self-Augmented Training. | Weihua Hu, Takeru Miyato, Seiya Tokui, Eiichi Matsumoto, Masashi Sugiyama |
| 2016 | ACL | A Latent Concept Topic Model for Robust Topic Inference Using Word Embeddings. | Weihua Hu, Jun'ichi Tsujii |
| 2016 | ISIT | Tight upper bounds on the redundancy of optimal binary AIFV codes. | Weihua Hu, Hirosuke Yamamoto, Junya Honda |
| 2015 | GLOBECOM | Efficient Auto-Scaling Approach in the Telco Cloud Using Self-Learning Algorithm. | Pengcheng Tang, Fei Li, Wei Zhou, Weihua Hu, Li Yang |
| 2007 | ICPADS | Embedded education for Computer Rank Examination. | Tianzhou Chen, Weihua Hu, Qingsong Shi, Hui Yan |
| 2003 | IVA | Exploring an Agent-Driven 3D Learning Environment for Computer Graphics Education. | Weihua Hu, Jiejie Zhu, Zhigeng Pan |