Zheng Zhang - RankMe

35 papers A* 6A 5Journal 19Unranked 5

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Efficient Deep Generative Models for Spatial Networks via Spanning Tree Sampler. ACM Trans. Knowl. Discov. Data Xiaojie Guo, Yuanqi Du, Zheng Zhang, Liang Zhao
2026	J	`jnl`	Survey on Factuality in Large Language Models. ACM Comput. Surv. Cunxiang Wang, Xiaoze Liu, Yuanhao Yue, Qipeng Guo, Xiangkun Hu, Xiangru Tang, Tianhang Zhang, Cheng Jiayang, Yunzhi Yao, Xuming Hu, Zehan Qi, Wenyang Gao, Yidong Wang, Linyi Yang, Jindong Wang, Xing Xie, Zheng Zhang, Yue Zhang
2025	A*	`conf`	CG-RAG: Research Question Answering by Citation Graph Retrieval-Augmented LLMs. SIGIR Yuntong Hu, Zhihan Lei, Zhongjie Dai, Allen Zhang, Abhinav Angirekula, Zheng Zhang, Liang Zhao
2025	J	`jnl`	CG-RAG: Research Question Answering by Citation Graph Retrieval-Augmented LLMs. CoRR Yuntong Hu, Zhihan Lei, Zhongjie Dai, Allen Zhang, Abhinav Angirekula, Zheng Zhang, Liang Zhao
2025	—	`conf`	GRAG: Graph Retrieval-Augmented Generation. NAACL (Findings) Yuntong Hu, Zhihan Lei, Zheng Zhang, Bo Pan, Chen Ling, Liang Zhao
2025	—	`conf`	GraphNarrator: Generating Textual Explanations for Graph Neural Networks. ACL (1) Bo Pan, Zhen Xiong, Guanchen Wu, Zheng Zhang, Yifei Zhang, Yuntong Hu, Liang Zhao
2025	A	`conf`	TAGA: Text-Attributed Graph Self-Supervised Learning by Synergizing Graph and Text Mutual Transformations. CIKM Zheng Zhang, Yuntong Hu, Bo Pan, Chen Ling, Liang Zhao
2025	A	`conf`	Transferable Deep Clustering Model. CIKM Zheng Zhang, Liang Zhao
2024	A	`conf`	Distilling Large Language Models for Text-Attributed Graph Learning. CIKM Bo Pan, Zheng Zhang, Yifei Zhang, Yuntong Hu, Liang Zhao
2024	J	`jnl`	Distilling Large Language Models for Text-Attributed Graph Learning. CoRR Bo Pan, Zheng Zhang, Yifei Zhang, Yuntong Hu, Liang Zhao
2024	J	`jnl`	GRAG: Graph Retrieval-Augmented Generation. CoRR Yuntong Hu, Zhihan Lei, Zheng Zhang, Bo Pan, Chen Ling, Liang Zhao
2024	J	`jnl`	HiReview: Hierarchical Taxonomy-Driven Automatic Literature Review Generation. CoRR Yuntong Hu, Zhuofeng Li, Zheng Zhang, Chen Ling, Raasikh Kanjiani, Boxin Zhao, Liang Zhao
2024	—	`conf`	Large Language Models for Spatial Trajectory Patterns Mining. GeoAnomalies@SIGSPATIAL Zheng Zhang, Hossein Amiri, Zhenke Liu, Liang Zhao, Andreas Züfle
2024	J	`jnl`	Link Prediction on Textual Edge Graphs. CoRR Chen Ling, Zhuofeng Li, Yuntong Hu, Zheng Zhang, Zhongyuan Liu, Shuang Zheng, Liang Zhao
2024	A	`conf`	Non-Euclidean Spatial Graph Neural Network. SDM Zheng Zhang, Sirui Li, Jingcheng Zhou, Junxiang Wang, Abhinav Angirekula, Allen Zhang, Liang Zhao
2024	J	`jnl`	Position-Aware Parameter Efficient Fine-Tuning Approach for Reducing Positional Bias in LLMs. CoRR Zheng Zhang, Fan Yang, Ziyan Jiang, Zheng Chen, Zhengyang Zhao, Chengyuan Ma, Liang Zhao, Yang Liu
2024	A*	`conf`	Representation Learning of Geometric Trees. KDD Zheng Zhang, Allen Zhang, Ruth Nelson, Giorgio A. Ascoli, Liang Zhao
2024	J	`jnl`	Representation Learning of Geometric Trees. CoRR Zheng Zhang, Allen Zhang, Ruth Nelson, Giorgio A. Ascoli, Liang Zhao
2024	A	`conf`	Self-Similar Graph Neural Network for Hierarchical Graph Learning. SDM Zheng Zhang, Liang Zhao
2024	J	`jnl`	TAGA: Text-Attributed Graph Self-Supervised Learning by Synergizing Graph and Text Mutual Transformations. CoRR Zheng Zhang, Yuntong Hu, Bo Pan, Chen Ling, Liang Zhao
2024	J	`jnl`	TAGExplainer: Narrating Graph Explanations for Text-Attributed Graph Learning Models. CoRR Bo Pan, Zhen Xiong, Guanchen Wu, Zheng Zhang, Yifei Zhang, Liang Zhao
2024	A*	`conf`	TEG-DB: A Comprehensive Dataset and Benchmark of Textual-Edge Graphs. NeurIPS Zhuofeng Li, Zixing Gou, Xiangnan Zhang, Zhongyuan Liu, Sirui Li, Yuntong Hu, Chen Ling, Zheng Zhang, Liang Zhao
2024	J	`jnl`	TEG-DB: A Comprehensive Dataset and Benchmark of Textual-Edge Graphs. CoRR Zhuofeng Li, Zixing Gou, Xiangnan Zhang, Zhongyuan Liu, Sirui Li, Yuntong Hu, Chen Ling, Zheng Zhang, Liang Zhao
2024	—	`conf`	Transferable Unsupervised Outlier Detection Framework for Human Semantic Trajectories. SIGSPATIAL/GIS Zheng Zhang, Hossein Amiri, Dazhou Yu, Yuntong Hu, Liang Zhao, Andreas Züfle
2024	J	`jnl`	Transferable Unsupervised Outlier Detection Framework for Human Semantic Trajectories. CoRR Zheng Zhang, Hossein Amiri, Dazhou Yu, Yuntong Hu, Liang Zhao, Andreas Züfle
2023	J	`jnl`	Balancing Specialized and General Skills in LLMs: The Impact of Modern Tuning and Data Strategy. CoRR Zheng Zhang, Chen Zheng, Da Tang, Ke Sun, Yukun Ma, Yingtong Bu, Xun Zhou, Liang Zhao
2023	J	`jnl`	Beyond Text: A Deep Dive into Large Language Models' Ability on Understanding Graph Data. CoRR Yuntong Hu, Zheng Zhang, Liang Zhao
2023	A*	`conf`	Curriculum Learning for Graph Neural Networks: Which Edges Should We Learn First. NeurIPS Zheng Zhang, Junxiang Wang, Liang Zhao
2023	J	`jnl`	Curriculum Learning for Graph Neural Networks: Which Edges Should We Learn First. CoRR Zheng Zhang, Junxiang Wang, Liang Zhao
2023	J	`jnl`	Large Language Models for Spatial Trajectory Patterns Mining. CoRR Zheng Zhang, Hossein Amiri, Zhenke Liu, Andreas Züfle, Liang Zhao
2023	J	`jnl`	Non-Euclidean Spatial Graph Neural Network. CoRR Zheng Zhang, Sirui Li, Jingcheng Zhou, Junxiang Wang, Abhinav Angirekula, Allen Zhang, Liang Zhao
2023	J	`jnl`	Transferable Deep Clustering Model. CoRR Zheng Zhang, Liang Zhao
2023	—	`conf`	Tutorials at The Web Conference 2023. WWW (Companion Volume) Valeria Fionda, Olaf Hartig, Reyhaneh Abdolazimi, Sihem Amer-Yahia, Hongzhi Chen, Xiao Chen, Peng Cui, Jeffrey Dalton, Xin Luna Dong, Lisette Espín-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 Küçük-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	A*	`conf`	Unsupervised Deep Subgraph Anomaly Detection (Extended Abstract). IJCAI Zheng Zhang, Liang Zhao
2022	A*	`conf`	Unsupervised Deep Subgraph Anomaly Detection. ICDM Zheng Zhang, Liang Zhao