Dongqi Fu

According to our database, Dongqi Fu authored at least 51 papers between 2020 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

ReMix: Reinforcement routing for mixtures of LoRAs in LLM finetuning.

Ruizhong Qiu, Hanqing Zeng, Yinglong Xia, Yiwen Meng, Ren Chen, Jiarui Feng, Dongqi Fu, Qifan Wang, Jiayi Liu, Jun Xiao, Xiangjun Fan, Benyu Zhang, Hong Li, Zhining Liu, Hyunsik Yoo, Zhichen Zeng, Tianxin Wei, Hanghang Tong

CoRR, March, 2026

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, Hanghang Tong, Yada Zhu, Hendrik F. Hamann, Jingrui He

CoRR, March, 2026

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

CoRR, January, 2026

OWLEYE: Zero-Shot Learner for Cross-Domain Graph Data Anomaly Detection.

Lecheng Zheng, Dongqi Fu, Zihao Li, Jingrui He

CoRR, January, 2026

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

CoRR, January, 2026

Optimal subsampling for linear models with heteroscedasticity.

Jiayi Zheng, Dongqi Fu, Ziqiao Xu, Nicholas Rios

J. Data Sci. Stat. Vis., 2026

RankGraph-Context: Empowering Different Industrial Recommendation System Stages.

Dongqi Fu, Yinglong Xia, Hong Li, Hong Yan

Proceedings of the Nineteenth ACM International Conference on Web Search and Data Mining, 2026

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

Proceedings of the Proceedings 29th International Conference on Extending Database Technology, 2026

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

Proceedings of the Findings of the Association for Computational Linguistics: EACL 2026, 2026

2025

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

CoRR, October, 2025

Haystack Engineering: Context Engineering for Heterogeneous and Agentic Long-Context Evaluation.

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

CoRR, October, 2025

GTR: Graph-Table-RAG for Cross-Table Question Answering.

Jiaru Zou, Dongqi Fu, Sirui Chen, Xinrui He, Zihao Li, Yada Zhu, Jiawei Han, Jingrui He

CoRR, April, 2025

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 F. Hamann, Hanghang Tong, Jingrui He

CoRR, February, 2025

Hypergraphs as Weighted Directed Self-Looped Graphs: Spectral Properties, Clustering, Cheeger Inequality.

Zihao Li, Dongqi Fu, Hengyu Liu, Jingrui He

Trans. Mach. Learn. Res., 2025

APEX²: Adaptive and Extreme Summarization for Personalized Knowledge Graphs.

Zihao Li, Dongqi Fu, Mengting Ai, Jingrui He

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.1, 2025

UniMate: A Unified Model for Mechanical Metamaterial Generation, Property Prediction, and Condition Confirmation.

Wangzhi Zhan, Jianpeng Chen, Dongqi Fu, Dawei Zhou

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Learnable Spatial-Temporal Positional Encoding for Link Prediction.

Katherine Tieu, Dongqi Fu, Zihao Li, Ross Maciejewski, Jingrui He

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Graph4MM: Weaving Multimodal Learning with Structural Information.

Xuying Ning, Dongqi Fu, Tianxin Wei, Wujiang Xu, Jingrui He

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Learning Graph Quantized Tokenizers.

Limei Wang, Kaveh Hassani, Si Zhang, Dongqi Fu, Baichuan Yuan, Weilin Cong, Zhigang Hua, Hao Wu, Ning Yao, Bo Long

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Temporal Heterogeneous Graph Generation with Privacy, Utility, and Efficiency.

Xinyu He, Dongqi Fu, Hanghang Tong, Ross Maciejewski, Jingrui He

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

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

Proceedings of the 34th ACM International Conference on Information and Knowledge Management, 2025

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

Proceedings of the 34th ACM International Conference on Information and Knowledge Management, 2025

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

Proceedings of the 34th ACM International Conference on Information and Knowledge Management, 2025

Invariant Link Selector for Spatial-Temporal Out-of-Distribution Problem.

Katherine Tieu, Dongqi Fu, Jun Wu, Jingrui He

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2025

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

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024

DrGNN: Deep Residual Graph Neural Network with Contrastive Learning.

Lecheng Zheng, Dongqi Fu, Ross Maciejewski, Jingrui He

Trans. Mach. Learn. Res., 2024

Provably Extending PageRank-based Local Clustering Algorithm to Weighted Directed Graphs with Self-Loops and to Hypergraphs.

Zihao Li, Dongqi Fu, Hengyu Liu, Jingrui He

CoRR, 2024

Learning Graph Quantized Tokenizers for Transformers.

Limei Wang, Kaveh Hassani, Si Zhang, Dongqi Fu, Baichuan Yuan, Weilin Cong, Zhigang Hua, Hao Wu, Ning Yao, Bo Long

CoRR, 2024

Parametric Graph Representations in the Era of Foundation Models: A Survey and Position.

Dongqi Fu, Liri Fang, Zihao Li, Hanghang Tong, Vetle I. Torvik, Jingrui He

CoRR, 2024

Language Models are Graph Learners.

Zhe Xu, Kaveh Hassani, Si Zhang, Hanqing Zeng, Michihiro Yasunaga, Limei Wang, Dongqi Fu, Ning Yao, Bo Long, Hanghang Tong

CoRR, 2024

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

CoRR, 2024

Temporal Graph Neural Tangent Kernel with Graphon-Guaranteed.

Katherine Tieu, Dongqi Fu, Yada Zhu, Hendrik F. Hamann, Jingrui He

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

BackTime: Backdoor Attacks on Multivariate Time Series Forecasting.

Xiao Lin, Zhining Liu, Dongqi Fu, Ruizhong Qiu, Hanghang Tong

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

PageRank Bandits for Link Prediction.

Yikun Ban, Jiaru Zou, Zihao Li, Yunzhe Qi, Dongqi Fu, Jian Kang, Hanghang Tong, Jingrui He

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

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

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Privacy-Preserving Graph Machine Learning from Data to Computation: A Survey.

Dongqi Fu, Wenxuan Bao, Ross Maciejewski, Hanghang Tong, Jingrui He

SIGKDD Explor., 2023

Everything Evolves in Personalized PageRank.

Zihao Li, Dongqi Fu, Jingrui He

Proceedings of the ACM Web Conference 2023, 2023

Fairness-Aware Clique-Preserving Spectral Clustering of Temporal Graphs.

Dongqi Fu, Dawei Zhou, Ross Maciejewski, Arie Croitoru, Marcus Boyd, Jingrui He

Proceedings of the ACM Web Conference 2023, 2023

Natural and Artificial Dynamics in GNNs: A Tutorial.

Dongqi Fu, Zhe Xu, Hanghang Tong, Jingrui He

Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

Investigating Natural and Artificial Dynamics in Graph Data Mining and Machine Learning.

Dongqi Fu

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2022

Natural and Artificial Dynamics in Graphs: Concept, Progress, and Future.

Dongqi Fu, Jingrui He

Frontiers Big Data, 2022

Privacy-preserving Graph Analytics: Secure Generation and Federated Learning.

Dongqi Fu, Jingrui He, Hanghang Tong, Ross Maciejewski

CoRR, 2022

Meta-Learned Metrics over Multi-Evolution Temporal Graphs.

Dongqi Fu, Liri Fang, Ross Maciejewski, Vetle I. Torvik, Jingrui He

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

MentorGNN: Deriving Curriculum for Pre-Training GNNs.

Dawei Zhou, Lecheng Zheng, Dongqi Fu, Jiawei Han, Jingrui He

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

DISCO: Comprehensive and Explainable Disinformation Detection.

Dongqi Fu, Yikun Ban, Hanghang Tong, Ross Maciejewski, Jingrui He

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

DPPIN: A Biological Repository of Dynamic Protein-Protein Interaction Network Data.

Dongqi Fu, Jingrui He

Proceedings of the IEEE International Conference on Big Data, 2022

2021

Tackling Oversmoothing of GNNs with Contrastive Learning.

Lecheng Zheng, Dongqi Fu, Jingrui He

CoRR, 2021

DPPIN: A Biological Dataset of Dynamic Protein-Protein Interaction Networks.

Dongqi Fu, Jingrui He

CoRR, 2021

SDG: A Simplified and Dynamic Graph Neural Network.

Dongqi Fu, Jingrui He

Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

2020

Local Motif Clustering on Time-Evolving Graphs.

Dongqi Fu, Dawei Zhou, Jingrui He

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

A View-Adversarial Framework for Multi-View Network Embedding.

Dongqi Fu, Zhe Xu, Bo Li, Hanghang Tong, Jingrui He

Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020