Minjie Wang
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
19
Venues
13
Active years
2015–2025
Best venue rank
A*
Where they publish
Papers
19 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | ICLR | MuseGNN: Forming Scalable, Convergent GNN Layers that Minimize a Sampling-Based Energy. | Haitian Jiang, Renjie Liu, Zengfeng Huang, Yichuan Wang, Xiao Yan, Zhenkun Cai, Minjie Wang, David Wipf |
| 2025 | ICML | Griffin: Towards a Graph-Centric Relational Database Foundation Model. | Yanbo Wang, Xiyuan Wang, Quan Gan, Minjie Wang, Qibin Yang, David Wipf, Muhan Zhang |
| 2025 | PPoPP | Adaptive Parallel Training for Graph Neural Networks. | Kaihao Ma, Renjie Liu, Xiao Yan, Zhenkun Cai, Xiang Song, Minjie Wang, Yichao Li, James Cheng |
| 2024 | AISTATS | Graph Machine Learning through the Lens of Bilevel Optimization. | Amber Yijia Zheng, Tong He, Yixuan Qiu, Minjie Wang, David Wipf |
| 2024 | CIKM | ELF-Gym: Evaluating Large Language Models Generated Features for Tabular Prediction. | Yanlin Zhang, Ning Li, Quan Gan, Weinan Zhang, David Wipf, Minjie Wang |
| 2024 | KDD | Graph Machine Learning Meets Multi-Table Relational Data. | Quan Gan, Minjie Wang, David Wipf, Christos Faloutsos |
| 2024 | VLDB | 4DBInfer: A 4D Benchmarking Toolbox for Graph-Centric Predictive Modeling on RDBs. | Minjie Wang, Quan Gan, David Wipf, Zhenkun Cai, Ning Li, Jianheng Tang, Yanlin Zhang, Zizhao Zhang, Zunyao Mao, Yakun Song, Yanbo Wang, Jiahang Li, Han Zhang, Guang Yang, Xiao Qin, Chuan Lei, Muhan Zhang, Weinan Zhang, Christos Faloutsos, Zheng Zhang |
| 2023 | KDD | DGI: An Easy and Efficient Framework for GNN Model Evaluation. | Peiqi Yin, Xiao Yan, Jinjing Zhou, Qiang Fu, Zhenkun Cai, James Cheng, Bo Tang, Minjie Wang |
| 2023 | WWW | Tutorials at The Web Conference 2023. | Valeria Fionda, Olaf Hartig, Reyhaneh Abdolazimi, Sihem Amer-Yahia, Hongzhi Chen, Xiao Chen, Peng Cui, Jeffrey Dalton, Xin Luna Dong, Lisette Espn-Noboa, Wenqi Fan, Manuela Fritz, Quan Gan, Jingtong Gao, Xiaojie Guo, Torsten Hahmann, Jiawei Han, Soyeon Caren Han, Estevam Hruschka, Liang Hu, Jiaxin Huang, Utkarshani Jaimini, Olivier Jeunen, Yushan Jiang, Fariba Karimi, George Karypis, Krishnaram Kenthapadi, Himabindu Lakkaraju, Hady W. Lauw, Thai Le, Trung-Hoang Le, Dongwon Lee, Geon Lee, Liat Levontin, Cheng-Te Li, Haoyang Li, Ying Li, Jay Chiehen Liao, Qidong Liu, Usha Lokala, Ben London, Siqu Long, Hande Kk-McGinty, Yu Meng, Seungwhan Moon, Usman Naseem, Pradeep Natarajan, Behrooz Omidvar-Tehrani, Zijie Pan, Devesh Parekh, Jian Pei, Tiago Peixoto, Steven Pemberton, Josiah Poon, Filip Radlinski, Federico Rossetto, Kaushik Roy, Aghiles Salah, Mehrnoosh Sameki, Amit P. Sheth, Cogan Shimizu, Kijung Shin, Dongjin Song, Julia Stoyanovich, Dacheng Tao, Johanne R. Trippas, Quoc Truong, Yu-Che Tsai, Adaku Uchendu, Bram van den Akker, Lin Wang, Minjie Wang, Shoujin Wang, Xin Wang, Ingmar Weber, Henry Weld, Lingfei Wu, Da Xu, Yifan Ethan Xu, Shuyuan Xu, Bo Yang, Ke Yang, Elad Yom-Tov, Jaemin Yoo, Zhou Yu, Reza Zafarani, Hamed Zamani, Meike Zehlike, Qi Zhang, Xikun Zhang, Yongfeng Zhang, Yu Zhang, Zheng Zhang, Liang Zhao, Xiangyu Zhao, Wenwu Zhu |
| 2023 | SOSP | gSampler: General and Efficient GPU-based Graph Sampling for Graph Learning. | Ping Gong, Renjie Liu, Zunyao Mao, Zhenkun Cai, Xiao Yan, Cheng Li, Minjie Wang, Zhuozhao Li |
| 2021 | WSDM | Scalable Graph Neural Networks with Deep Graph Library. | Da Zheng, Minjie Wang, Quan Gan, Xiang Song, Zheng Zhang, George Karypis |
| 2020 | KDD | Scalable Graph Neural Networks with Deep Graph Library. | Da Zheng, Minjie Wang, Quan Gan, Zheng Zhang, George Karypis |
| 2020 | PPoPP | XIndex: a scalable learned index for multicore data storage. | Chuzhe Tang, Youyun Wang, Zhiyuan Dong, Gansen Hu, Zhaoguo Wang, Minjie Wang, Haibo Chen |
| 2020 | WWW | Learning Graph Neural Networks with Deep Graph Library. | Da Zheng, Minjie Wang, Quan Gan, Zheng Zhang, George Karypis |
| 2020 | SC | FeatGraph: a flexible and efficient backend for graph neural network systems. | Yuwei Hu, Zihao Ye, Minjie Wang, Jiali Yu, Da Zheng, Mu Li, Zheng Zhang, Zhiru Zhang, Yida Wang |
| 2020 | SC | DistDGL: Distributed Graph Neural Network Training for Billion-Scale Graphs. | Da Zheng, Chao Ma, Minjie Wang, Jinjing Zhou, Qidong Su, Xiang Song, Quan Gan, Zheng Zhang, George Karypis |
| 2019 | EuroSys | Supporting Very Large Models using Automatic Dataflow Graph Partitioning. | Minjie Wang, Chien-Chin Huang, Jinyang Li |
| 2018 | WWW | Urban Perception of Commercial Activeness from Satellite Images and Streetscapes. | Wenshan Wang, Su Yang, Zhiyuan He, Minjie Wang, Jiulong Zhang, Weishan Zhang |
| 2015 | UIC | Discovering Spatial Contexts for Traffic Flow Prediction with Sparse Representation Based Variable Selection. | Su Yang, Shixiong Shi, Xiaobing Hu, Minjie Wang |