Dongqi Fu - RankMe

66 papers A* 14A 10B 2Journal 37Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Agentic Reasoning for Large Language Models. CoRR 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
2026	B	`conf`	Efficient Retrieval Scaling with Hierarchical Indexing for Large Scale Recommendation. EDBT 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	—	`conf`	How to Make LMs Strong Node Classifiers? EACL (Findings) Zhe Xu, Kaveh Hassani, Si Zhang, Hanqing Zeng, Michihiro Yasunaga, Limei Wang, Dongqi Fu, Ning Yao, Bo Long, Hanghang Tong
2026	J	`jnl`	MC-Search: Evaluating and Enhancing Multimodal Agentic Search with Structured Long Reasoning Chains. CoRR Xuying Ning, Dongqi Fu, Tianxin Wei, Mengting Ai, Jiaru Zou, Ting-Wei Li, Hanghang Tong, Yada Zhu, Hendrik F. Hamann, Jingrui He
2026	J	`jnl`	OWLEYE: Zero-Shot Learner for Cross-Domain Graph Data Anomaly Detection. CoRR Lecheng Zheng, Dongqi Fu, Zihao Li, Jingrui He
2026	J	`jnl`	Optimal subsampling for linear models with heteroscedasticity. J. Data Sci. Stat. Vis. Jiayi Zheng, Dongqi Fu, Ziqiao Xu, Nicholas Rios
2026	A	`conf`	RankGraph-Context: Empowering Different Industrial Recommendation System Stages. WSDM Dongqi Fu, Yinglong Xia, Hong Li, Hong Yan
2026	J	`jnl`	ReMix: Reinforcement routing for mixtures of LoRAs in LLM finetuning. CoRR 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
2026	J	`jnl`	TSAQA: Time Series Analysis Question And Answering Benchmark. CoRR 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
2025	—	`conf`	APEX KDD (1) Zihao Li, Dongqi Fu, Mengting Ai, Jingrui He
2025	A	`conf`	Billion-Scale Graph Deep Learning Framework for Ads Recommendation. CIKM 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
2025	—	`conf`	Can Graph Neural Networks Learn Language with Extremely Weak Text Supervision? ACL (1) Zihao Li, Lecheng Zheng, Bowen Jin, Dongqi Fu, Baoyu Jing, Yikun Ban, Jingrui He, Jiawei Han
2025	A	`conf`	ClimateBench-M: A Multi-Modal Climate Data Benchmark with a Simple Generative Method. CIKM 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	J	`jnl`	ClimateBench-M: A Multi-Modal Climate Data Benchmark with a Simple Generative Method. CoRR 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	J	`jnl`	GTR: Graph-Table-RAG for Cross-Table Question Answering. CoRR Jiaru Zou, Dongqi Fu, Sirui Chen, Xinrui He, Zihao Li, Yada Zhu, Jiawei Han, Jingrui He
2025	A*	`conf`	Graph4MM: Weaving Multimodal Learning with Structural Information. ICML Xuying Ning, Dongqi Fu, Tianxin Wei, Wujiang Xu, Jingrui He
2025	J	`jnl`	Graph4MM: Weaving Multimodal Learning with Structural Information. CoRR Xuying Ning, Dongqi Fu, Tianxin Wei, Wujiang Xu, Jingrui He
2025	J	`jnl`	Haystack Engineering: Context Engineering for Heterogeneous and Agentic Long-Context Evaluation. CoRR 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
2025	J	`jnl`	HeroFilter: Adaptive Spectral Graph Filter for Varying Heterophilic Relations. CoRR Shuaicheng Zhang, Haohui Wang, Junhong Lin, Xiaojie Guo, Yada Zhu, Si Zhang, Dongqi Fu, Dawei Zhou
2025	J	`jnl`	Hypergraphs as Weighted Directed Self-Looped Graphs: Spectral Properties, Clustering, Cheeger Inequality. Trans. Mach. Learn. Res. Zihao Li, Dongqi Fu, Hengyu Liu, Jingrui He
2025	A	`conf`	Invariant Link Selector for Spatial-Temporal Out-of-Distribution Problem. AISTATS Katherine Tieu, Dongqi Fu, Jun Wu, Jingrui He
2025	J	`jnl`	Invariant Link Selector for Spatial-Temporal Out-of-Distribution Problem. CoRR Katherine Tieu, Dongqi Fu, Jun Wu, Jingrui He
2025	J	`jnl`	Language in the Flow of Time: Time-Series-Paired Texts Weaved into a Unified Temporal Narrative. CoRR Zihao Li, Xiao Lin, Zhining Liu, Jiaru Zou, Ziwei Wu, Lecheng Zheng, Dongqi Fu, Yada Zhu, Hendrik F. Hamann, Hanghang Tong, Jingrui He
2025	A*	`conf`	Learnable Spatial-Temporal Positional Encoding for Link Prediction. ICML Katherine Tieu, Dongqi Fu, Zihao Li, Ross Maciejewski, Jingrui He
2025	J	`jnl`	Learnable Spatial-Temporal Positional Encoding for Link Prediction. CoRR Katherine Tieu, Dongqi Fu, Zihao Li, Ross Maciejewski, Jingrui He
2025	A*	`conf`	Learning Graph Quantized Tokenizers. ICLR Limei Wang, Kaveh Hassani, Si Zhang, Dongqi Fu, Baichuan Yuan, Weilin Cong, Zhigang Hua, Hao Wu, Ning Yao, Bo Long
2025	A	`conf`	PyG-SSL: A Graph Self-Supervised Learning Toolkit. CIKM 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	A*	`conf`	Temporal Heterogeneous Graph Generation with Privacy, Utility, and Efficiency. ICLR Xinyu He, Dongqi Fu, Hanghang Tong, Ross Maciejewski, Jingrui He
2025	A*	`conf`	UniMate: A Unified Model for Mechanical Metamaterial Generation, Property Prediction, and Condition Confirmation. ICML Wangzhi Zhan, Jianpeng Chen, Dongqi Fu, Dawei Zhou
2025	J	`jnl`	UniMate: A Unified Model for Mechanical Metamaterial Generation, Property Prediction, and Condition Confirmation. CoRR Wangzhi Zhan, Jianpeng Chen, Dongqi Fu, Dawei Zhou
2024	J	`jnl`	APEX CoRR Zihao Li, Dongqi Fu, Mengting Ai, Jingrui He
2024	J	`jnl`	BACKTIME: Backdoor Attacks on Multivariate Time Series Forecasting. CoRR Xiao Lin, Zhining Liu, Dongqi Fu, Ruizhong Qiu, Hanghang Tong
2024	A*	`conf`	BackTime: Backdoor Attacks on Multivariate Time Series Forecasting. NeurIPS Xiao Lin, Zhining Liu, Dongqi Fu, Ruizhong Qiu, Hanghang Tong
2024	J	`jnl`	Can Graph Neural Networks Learn Language with Extremely Weak Text Supervision? CoRR Zihao Li, Lecheng Zheng, Bowen Jin, Dongqi Fu, Baoyu Jing, Yikun Ban, Jingrui He, Jiawei Han
2024	J	`jnl`	DrGNN: Deep Residual Graph Neural Network with Contrastive Learning. Trans. Mach. Learn. Res. Lecheng Zheng, Dongqi Fu, Ross Maciejewski, Jingrui He
2024	J	`jnl`	Generating Fine-Grained Causality in Climate Time Series Data for Forecasting and Anomaly Detection. CoRR Dongqi Fu, Yada Zhu, Hanghang Tong, Kommy Weldemariam, Onkar Bhardwaj, Jingrui He
2024	J	`jnl`	Hypergraphs as Weighted Directed Self-Looped Graphs: Spectral Properties, Clustering, Cheeger Inequality. CoRR Zihao Li, Dongqi Fu, Hengyu Liu, Jingrui He
2024	J	`jnl`	Language Models are Graph Learners. CoRR Zhe Xu, Kaveh Hassani, Si Zhang, Hanqing Zeng, Michihiro Yasunaga, Limei Wang, Dongqi Fu, Ning Yao, Bo Long, Hanghang Tong
2024	J	`jnl`	Learning Graph Quantized Tokenizers for Transformers. CoRR Limei Wang, Kaveh Hassani, Si Zhang, Dongqi Fu, Baichuan Yuan, Weilin Cong, Zhigang Hua, Hao Wu, Ning Yao, Bo Long
2024	A*	`conf`	PageRank Bandits for Link Prediction. NeurIPS Yikun Ban, Jiaru Zou, Zihao Li, Yunzhe Qi, Dongqi Fu, Jian Kang, Hanghang Tong, Jingrui He
2024	J	`jnl`	PageRank Bandits for Link Prediction. CoRR Yikun Ban, Jiaru Zou, Zihao Li, Yunzhe Qi, Dongqi Fu, Jian Kang, Hanghang Tong, Jingrui He
2024	J	`jnl`	Parametric Graph Representations in the Era of Foundation Models: A Survey and Position. CoRR Dongqi Fu, Liri Fang, Zihao Li, Hanghang Tong, Vetle I. Torvik, Jingrui He
2024	J	`jnl`	Provably Extending PageRank-based Local Clustering Algorithm to Weighted Directed Graphs with Self-Loops and to Hypergraphs. CoRR Zihao Li, Dongqi Fu, Hengyu Liu, Jingrui He
2024	J	`jnl`	PyG-SSL: A Graph Self-Supervised Learning Toolkit. CoRR Lecheng Zheng, Baoyu Jing, Zihao Li, Zhichen Zeng, Tianxin Wei, Mengting Ai, Xinrui He, Lihui Liu, Dongqi Fu, Jiaxuan You, Hanghang Tong, Jingrui He
2024	A*	`conf`	Temporal Graph Neural Tangent Kernel with Graphon-Guaranteed. NeurIPS Katherine Tieu, Dongqi Fu, Yada Zhu, Hendrik F. Hamann, Jingrui He
2024	A*	`conf`	VCR-Graphormer: A Mini-batch Graph Transformer via Virtual Connections. ICLR Dongqi Fu, Zhigang Hua, Yan Xie, Jin Fang, Si Zhang, Kaan Sancak, Hao Wu, Andrey Malevich, Jingrui He, Bo Long
2024	J	`jnl`	VCR-Graphormer: A Mini-batch Graph Transformer via Virtual Connections. CoRR Dongqi Fu, Zhigang Hua, Yan Xie, Jin Fang, Si Zhang, Kaan Sancak, Hao Wu, Andrey Malevich, Jingrui He, Bo Long
2023	A*	`conf`	Everything Evolves in Personalized PageRank. WWW Zihao Li, Dongqi Fu, Jingrui He
2023	A*	`conf`	Fairness-Aware Clique-Preserving Spectral Clustering of Temporal Graphs. WWW Dongqi Fu, Dawei Zhou, Ross Maciejewski, Arie Croitoru, Marcus Boyd, Jingrui He
2023	A	`conf`	Investigating Natural and Artificial Dynamics in Graph Data Mining and Machine Learning. CIKM Dongqi Fu
2023	A	`conf`	Natural and Artificial Dynamics in GNNs: A Tutorial. WSDM Dongqi Fu, Zhe Xu, Hanghang Tong, Jingrui He
2023	J	`jnl`	Privacy-Preserving Graph Machine Learning from Data to Computation: A Survey. CoRR Dongqi Fu, Wenxuan Bao, Ross Maciejewski, Hanghang Tong, Jingrui He
2023	J	`jnl`	Privacy-Preserving Graph Machine Learning from Data to Computation: A Survey. SIGKDD Explor. Dongqi Fu, Wenxuan Bao, Ross Maciejewski, Hanghang Tong, Jingrui He
2022	A	`conf`	DISCO: Comprehensive and Explainable Disinformation Detection. CIKM Dongqi Fu, Yikun Ban, Hanghang Tong, Ross Maciejewski, Jingrui He
2022	J	`jnl`	DISCO: Comprehensive and Explainable Disinformation Detection. CoRR Dongqi Fu, Yikun Ban, Hanghang Tong, Ross Maciejewski, Jingrui He
2022	B	`conf`	DPPIN: A Biological Repository of Dynamic Protein-Protein Interaction Network Data. IEEE Big Data Dongqi Fu, Jingrui He
2022	A	`conf`	MentorGNN: Deriving Curriculum for Pre-Training GNNs. CIKM Dawei Zhou, Lecheng Zheng, Dongqi Fu, Jiawei Han, Jingrui He
2022	J	`jnl`	MentorGNN: Deriving Curriculum for Pre-Training GNNs. CoRR Dawei Zhou, Lecheng Zheng, Dongqi Fu, Jiawei Han, Jingrui He
2022	A*	`conf`	Meta-Learned Metrics over Multi-Evolution Temporal Graphs. KDD Dongqi Fu, Liri Fang, Ross Maciejewski, Vetle I. Torvik, Jingrui He
2022	J	`jnl`	Natural and Artificial Dynamics in Graphs: Concept, Progress, and Future. Frontiers Big Data Dongqi Fu, Jingrui He
2022	J	`jnl`	Privacy-preserving Graph Analytics: Secure Generation and Federated Learning. CoRR Dongqi Fu, Jingrui He, Hanghang Tong, Ross Maciejewski
2021	J	`jnl`	DPPIN: A Biological Dataset of Dynamic Protein-Protein Interaction Networks. CoRR Dongqi Fu, Jingrui He
2021	A*	`conf`	SDG: A Simplified and Dynamic Graph Neural Network. SIGIR Dongqi Fu, Jingrui He
2021	J	`jnl`	Tackling Oversmoothing of GNNs with Contrastive Learning. CoRR Lecheng Zheng, Dongqi Fu, Jingrui He
2020	A	`conf`	A View-Adversarial Framework for Multi-View Network Embedding. CIKM Dongqi Fu, Zhe Xu, Bo Li, Hanghang Tong, Jingrui He
2020	A*	`conf`	Local Motif Clustering on Time-Evolving Graphs. KDD Dongqi Fu, Dawei Zhou, Jingrui He