Publications
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Pre-Print (* denotes Equal Contribution)
4. 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
3. Agentic Reasoning for Large Language Models
🔻 Tianxin Wei*, Ting-Wei Li*, Zhining Liu*, Xuying Ning, Ze Yang, Jiaru Zou, Zhichen Zeng, Ruizhong Qiu, Xiao Lin, Dongqi Fu, Zihao Li, Mengting Ai, Duo Zhou, Wenxuan Bao, Yunzhe Li, Gaotang Li, Cheng Qian, Yu Wang, Xiangru Tang, Yin Xiao, Liri Fang, Hui Liu, Xianfeng Tang, Yuji Zhang, Chi Wang, Jiaxuan You, Heng Ji, Hanghang Tong, Jingrui He
2. TSAQA: Time Series Analysis Question and Answering Benchmark
🔻 Baoyu Jing*, Sanhorn Chen*, Lecheng Zheng, Boyu Liu, Zihao Li, Jiaru Zou, Tianxin Wei, Zhining Liu, Zhichen Zeng, Ruizhong Qiu, Xiao Lin, Yuchen Yan, Dongqi Fu, Jingchao Ni, Jingrui He, Hanghang Tong
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Published (* denotes Equal Contribution)
44. MC-Search: Evaluating and Enhancing Multimodal Agentic Search with Structured Long Reasoning Chains
🔻 Xuying Ning, Dongqi Fu, Tianxin Wei, Mengting Ai, Jiaru Zou, Ting-Wei Li, Jingrui He
🔻 ICLR 2026 ( 🏆 Oral, 1.18% of 18,949 Submissions), NeurIPS 2025 (LLM Evaluation Workshop)
43. Geometric Constraints for Small Language Models to Understand and Expand Scientific Taxonomies
🔻 Liri Fang, Dongqi Fu, Jiawei Han, Jingrui He, Vetle I Torvik
🔻 ICLR 2026
🔻 [To Appear]
42. OwlEye: Zero-Shot Learner for Cross-Domain Graph Data Anomaly Detection
🔻 Lecheng Zheng, Dongqi Fu, Zihao Li, Jingrui He
🔻 ICLR 2026
🔻 [Paper] [Code]
41. Language in the Flow of Time: Time-Series-Paired Texts Weaved into a Unified Temporal Narrative
🔻 Zihao Li, Xiao Lin, Zhining Liu, Jiaru Zou, Ziwei Wu, Lecheng Zheng, Dongqi Fu, Yada Zhu, Hendrik Hamann, Hanghang Tong, Jingrui He
🔻 ICLR 2026, NeurIPS 2025 (Time Series Foundation Models Workshop)
40. RankGraph-Context: Empowering Different Industrial Recommendation System Stages
🔻 Dongqi Fu, Yinglong Xia, Hong Li, Hong Yan
🔻 WSDM 2026 (Industry)
🔻 [To Appear]
39. 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
🔻 EDBT 2026 (Industry)
🔻 [To Appear]
38. 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
🔻 EACL 2026 (Findings)
🔻 [Paper] [Code]
37. Bring Complex Geometric Information to LLMs: A Positional Survey of Graph Parametric Representation
🔻 Dongqi Fu*, Liri Fang*, Zihao Li*, Zhe Xu*, Hanghang Tong, Vetle I Torvik, Jingrui He
🔻 LOG 2025
36. Haystack Engineering: Context Engineering Meets the Long-Context Challenge in Large Language Models
🔻 Mufei Li, Dongqi Fu, Limei Wang, Si Zhang, Hanqing Zeng, Kaan Sancak, Ruizhong Qiu, Haoyu Wang, Xiaoxin He, Xavier Bresson, Yinglong Xia, Chonglin Sun, Pan Li
🔻 NeurIPS 2025 (LLM Evaluation Workshop)
35. HeroFilter: Adaptive Spectral Graph Filter for Varying Heterophilic Relations
🔻 Shuaicheng Zhang*, Haohui Wang*, Junhong Lin, Xiaojie Guo, Yada Zhu, Si Zhang, Dongqi Fu, Dawei Zhou
🔻 NeurIPS 2025
34. Hypergraphs as Weighted Directed Self-Looped Graphs: Spectral Properties, Clustering, Cheeger Inequality
🔻 Zihao Li, Dongqi Fu, Hengyu Liu, Jingrui He
🔻 TMLR, November 2025
33. 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 Li, Sem Park, Bo Long
🔻 CIKM 2025 (Industry)
🔻 [Paper]
32. 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 Hamann, Jingrui He
🔻 CIKM 2025
31. 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
🔻 CIKM 2025
30. Graph4MM: Weaving Multimodal Learning with Structural Information
🔻 Xuying Ning*, Dongqi Fu*, Tianxin Wei, Wujiang Xu, Jingrui He
🔻 ICML 2025
29. Learnable Spatial-Temporal Positional Encoding for Link Prediction
🔻 Katherine Tieu*, Dongqi Fu*, Zihao Li, Ross Maciejewski, Jingrui He
🔻 ICML 2025
28. UniMate: A Unified Model for Mechanical Metamaterial Generation, Property Prediction, and Condition Confirmation
🔻 Wangzhi Zhan, Jianpeng Chen, Dongqi Fu, Dawei Zhou
🔻 ICML 2025
27. 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
🔻 ACL 2025 (Main)
26. Automatic Scientific Claims Verification with Pruned Evidence Graph
🔻 Liri Fang, Dongqi Fu, Vetle I. Torvik
🔻 ICLR 2025 (AgenticAI Workshop)
25. Learning Graph Quantized Tokenizers
🔻 Limei Wang*, Kaveh Hassani*, Si Zhang, Dongqi Fu, Baichuan Yuan, Weilin Cong, Zhigang Hua, Hao Wu, Ning Yao, Bo Long
🔻 ICLR 2025
24. Temporal Heterogeneous Graph Generation with Privacy, Utility, and Efficiency
🔻 Xinyu He*, Dongqi Fu*, Hanghang Tong, Ross Maciejewski, Jingrui He
🔻 ICLR 2025 ( 🏆 Spotlight, 3.20% of 11,672 Submissions )
23. Invariant Link Selector for Spatial-Temporal Out-of-Distribution Problem
🔻 Katherine Tieu, Dongqi Fu, Jun Wu, Jingrui He
🔻 AISTATS 2025
22. APEX²: Adaptive and Extreme Summarization for Personalized Knowledge Graphs
🔻 Zihao Li, Dongqi Fu, Mengting Ai, Jingrui He
🔻 KDD 2025
21. Temporal Graph Neural Tangent Kernel with Graphon-Guaranteed
🔻 Katherine Tieu*, Dongqi Fu*, Yada Zhu, Hendrik Hamann, Jingrui He
🔻 NeurIPS 2024
20. PageRank Bandits for Link Prediction
🔻 Yikun Ban*, Jiaru Zou*, Zihao Li, Yunzhe Qi, Dongqi Fu, Jian Kang, Hanghang Tong, Jingrui He
🔻 NeurIPS 2024
19. BackTime: Backdoor Attacks on Multivariate Time Series Forecasting
🔻 Xiao Lin, Zhining Liu, Dongqi Fu, Ruizhong Qiu, Hanghang Tong
🔻 NeurIPS 2024 ( 🏆 Spotlight, 2.08% of 15,671 Submissions )
18. DrGNN: Deep Residual Graph Neural Network with Contrastive Learning
🔻 Lecheng Zheng*, Dongqi Fu*, Ross Maciejewski, Jingrui He
🔻 TMLR, October 2024
17. Empowering Graph Intelligence via Natural and Artificial Dynamics
🔻 Dongqi Fu
🔻 PhD Thesis, July 2024
🔻 [Paper]
16. Generating Fine-Grained Causality in Climate Time Series Data for Forecasting and Anomaly Detection
🔻 Dongqi Fu, Yada Zhu, Hanghang Tong, Kommy Weldemariam, Onkar Bhardwaj, Jingrui He
🔻 ICML 2024 (AI4Science Workshop)
15. 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
🔻 ICLR 2024
14. Investigating Natural and Artificial Dynamics in Graph Data Mining and Machine Learning
🔻 Dongqi Fu
🔻 CIKM 2023 (Doctoral Symposium)
🔻 [Paper]
13. Privacy-Preserving Graph Machine Learning from Data to Computation: A Survey
🔻 Dongqi Fu*, Wenxuan Bao*, Ross Maciejewski, Hanghang Tong, Jingrui He
🔻 SIGKDD Explorations, June 2023
🔻 [Paper]
12. Fairness-Aware Clique-Preserving Spectral Clustering of Temporal Graphs
🔻 Dongqi Fu, Dawei Zhou, Ross Maciejewski, Arie Croitoru, Marcus Boyd, Jingrui He
🔻 WWW 2023
11. Everything Evolves in Personalized PageRank
🔻 Zihao Li*, Dongqi Fu*, Jingrui He
🔻 WWW 2023
10. Natural and Artificial Dynamics in GNNs: A Tutorial
🔻 Dongqi Fu, Zhe Xu, Hanghang Tong, Jingrui He
🔻 WSDM 2023 (Tutorial)
9. DPPIN: A Biological Repository of Dynamic Protein-Protein Interaction Network Data
🔻 Dongqi Fu, Jingrui He
🔻 IEEE BigData 2022
8. Natural and Artificial Dynamics in Graphs: Concept, Progress, and Future
🔻 Dongqi Fu, Jingrui He
🔻 Frontiers in Big Data, December 2022
🔻 [Paper]
7. MentorGNN: Deriving Curriculum for Pre-Training GNNs
🔻 Dawei Zhou*, Lecheng Zheng*, Dongqi Fu, Jiawei Han, Jingrui He
🔻 CIKM 2022
6. DISCO: Comprehensive and Explainable Disinformation Detection
🔻 Dongqi Fu, Yikun Ban, Hanghang Tong, Ross Maciejewski, Jingrui He
🔻 CIKM 2022
5. Privacy-preserving Graph Analytics: Secure Generation and Federated Learning
🔻 Dongqi Fu, Jingrui He, Hanghang Tong, Ross Maciejewski
🔻 DHS CAOE Workshop on Privacy Enhancing Technologies for the Homeland Security Enterprise 2022
4. Meta-Learned Metrics over Multi-Evolution Temporal Graphs
🔻 Dongqi Fu*, Liri Fang*, Ross Maciejewski, Vetle I Torvik, Jingrui He
🔻 KDD 2022
3. SDG: A Simplified and Dynamic Graph Neural Network
🔻 Dongqi Fu, Jingrui He
🔻 SIGIR 2021
2. A View-Adversarial Framework for Multi-View Network Embedding
🔻 Dongqi Fu*, Zhe Xu*, Bo Li, Hanghang Tong, Jingrui He
🔻 CIKM 2020