Dongqi Fu
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
27
Venues
11
Active years
2020–2026
Best venue rank
A*
Where they publish
Papers
27 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ACL | PhyVer: Physics-Grounded Material Claim Verification with Multi-Fidelity Physical Evidence. | Jianpeng Chen, Wangzhi Zhan, Haohui Wang, Brian Mayer, Dongqi Fu, Dawei Zhou |
| 2026 | ACL | RAG over Tables: Hierarchical Memory Index, Multi-Stage Retrieval, and Benchmarking. | Jiaru Zou, Dongqi Fu, Sirui Chen, Xinrui He, Zihao Li, Yada Zhu, Jiawei Han, Jingrui He |
| 2026 | EACL | How to Make LMs Strong Node Classifiers? | Zhe Xu, Kaveh Hassani, Si Zhang, Hanqing Zeng, Michihiro Yasunaga, Limei Wang, Dongqi Fu, Ning Yao, Bo Long, Hanghang Tong |
| 2026 | EDBT | Efficient Retrieval Scaling with Hierarchical Indexing for Large Scale Recommendation. | Dongqi Fu, Kaushik Rangadurai, Haiyu Lu, Yunchen Pu, Siyang Yuan, Minhui Huang, Yiqun Liu, Golnaz Ghasemiesfeh, Xingfeng He, Fangzhou Xu, Andrew Cui, Vidhoon Viswanathan, Lin Yang, Liang Wang, Jiyan Yang, Chonglin Sun |
| 2026 | WSDM | RankGraph-Context: Empowering Different Industrial Recommendation System Stages. | Dongqi Fu, Yinglong Xia, Hong Li, Hong Yan |
| 2025 | ACL | Can Graph Neural Networks Learn Language with Extremely Weak Text Supervision? | Zihao Li, Lecheng Zheng, Bowen Jin, Dongqi Fu, Baoyu Jing, Yikun Ban, Jingrui He, Jiawei Han |
| 2025 | AISTATS | Invariant Link Selector for Spatial-Temporal Out-of-Distribution Problem. | Katherine Tieu, Dongqi Fu, Jun Wu, Jingrui He |
| 2025 | CIKM | ClimateBench-M: A Multi-Modal Climate Data Benchmark with a Simple Generative Method. | Dongqi Fu, Yada Zhu, Zhining Liu, Lecheng Zheng, Xiao Lin, Zihao Li, Liri Fang, Katherine Tieu, Onkar Bhardwaj, Kommy Weldemariam, Hanghang Tong, Hendrik F. Hamann, Jingrui He |
| 2025 | CIKM | Billion-Scale Graph Deep Learning Framework for Ads Recommendation. | Si Zhang, Weilin Cong, Dongqi Fu, Andrey Malevich, Hao Wu, Baichuan Yuan, Xin Zhou, Kaveh Hassani, Zhigang Hua, Austin Derrow-Pinion, Yan Xie, Xuewei Wang, Yinglong Xia, Ning Yao, Vena Jia Li, Sem Park, Bo Long |
| 2025 | CIKM | PyG-SSL: A Graph Self-Supervised Learning Toolkit. | Lecheng Zheng, Baoyu Jing, Zihao Li, Zhichen Zeng, Tianxin Wei, Mengting Ai, Xinrui He, Lihui Liu, Dongqi Fu, Jiaxuan You, Hanghang Tong, Jingrui He |
| 2025 | ICLR | Temporal Heterogeneous Graph Generation with Privacy, Utility, and Efficiency. | Xinyu He, Dongqi Fu, Hanghang Tong, Ross Maciejewski, Jingrui He |
| 2025 | ICLR | Learning Graph Quantized Tokenizers. | Limei Wang, Kaveh Hassani, Si Zhang, Dongqi Fu, Baichuan Yuan, Weilin Cong, Zhigang Hua, Hao Wu, Ning Yao, Bo Long |
| 2025 | ICML | Graph4MM: Weaving Multimodal Learning with Structural Information. | Xuying Ning, Dongqi Fu, Tianxin Wei, Wujiang Xu, Jingrui He |
| 2025 | ICML | Learnable Spatial-Temporal Positional Encoding for Link Prediction. | Katherine Tieu, Dongqi Fu, Zihao Li, Ross Maciejewski, Jingrui He |
| 2025 | ICML | UniMate: A Unified Model for Mechanical Metamaterial Generation, Property Prediction, and Condition Confirmation. | Wangzhi Zhan, Jianpeng Chen, Dongqi Fu, Dawei Zhou |
| 2025 | KDD | APEX | Zihao Li, Dongqi Fu, Mengting Ai, Jingrui He |
| 2024 | ICLR | VCR-Graphormer: A Mini-batch Graph Transformer via Virtual Connections. | Dongqi Fu, Zhigang Hua, Yan Xie, Jin Fang, Si Zhang, Kaan Sancak, Hao Wu, Andrey Malevich, Jingrui He, Bo Long |
| 2023 | CIKM | Investigating Natural and Artificial Dynamics in Graph Data Mining and Machine Learning. | Dongqi Fu |
| 2023 | WWW | Fairness-Aware Clique-Preserving Spectral Clustering of Temporal Graphs. | Dongqi Fu, Dawei Zhou, Ross Maciejewski, Arie Croitoru, Marcus Boyd, Jingrui He |
| 2023 | WWW | Everything Evolves in Personalized PageRank. | Zihao Li, Dongqi Fu, Jingrui He |
| 2023 | WSDM | Natural and Artificial Dynamics in GNNs: A Tutorial. | Dongqi Fu, Zhe Xu, Hanghang Tong, Jingrui He |
| 2022 | CIKM | DISCO: Comprehensive and Explainable Disinformation Detection. | Dongqi Fu, Yikun Ban, Hanghang Tong, Ross Maciejewski, Jingrui He |
| 2022 | CIKM | MentorGNN: Deriving Curriculum for Pre-Training GNNs. | Dawei Zhou, Lecheng Zheng, Dongqi Fu, Jiawei Han, Jingrui He |
| 2022 | KDD | Meta-Learned Metrics over Multi-Evolution Temporal Graphs. | Dongqi Fu, Liri Fang, Ross Maciejewski, Vetle I. Torvik, Jingrui He |
| 2021 | SIGIR | SDG: A Simplified and Dynamic Graph Neural Network. | Dongqi Fu, Jingrui He |
| 2020 | CIKM | A View-Adversarial Framework for Multi-View Network Embedding. | Dongqi Fu, Zhe Xu, Bo Li, Hanghang Tong, Jingrui He |
| 2020 | KDD | Local Motif Clustering on Time-Evolving Graphs. | Dongqi Fu, Dawei Zhou, Jingrui He |