Qi Zhu - RankMe

58 papers A* 14A 6Journal 33Unranked 5

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	SQL-Trail: Multi-Turn Reinforcement Learning with Interleaved Feedback for Text-to-SQL. CoRR Harper Hua, Zhen Han, Zhengyuan Shen, Jeremy Lee, Patrick Guan, Qi Zhu, Sullam Jeoung, Yueyan Chen, Yunfei Bai, Shuai Wang, Vassilis N. Ioannidis, Huzefa Rangwala
2026	J	`jnl`	Train Less, Learn More: Adaptive Efficient Rollout Optimization for Group-Based Reinforcement Learning. CoRR Zhi Zhang, Zhen Han, Costas Mavromatis, Qi Zhu, Yunyi Zhang, Sheng Guan, Dingmin Wang, Xiong Zhou, Shuai Wang, Soji Adeshina, Vassilis N. Ioannidis, Huzefa Rangwala
2025	A*	`conf`	BYOKG-RAG: Multi-Strategy Graph Retrieval for Knowledge Graph Question Answering. EMNLP Costas Mavromatis, Soji Adeshina, Vassilis N. Ioannidis, Zhen Han, Qi Zhu, Ian Robinson, Bryan Thompson, Huzefa Rangwala, George Karypis
2025	J	`jnl`	BYOKG-RAG: Multi-Strategy Graph Retrieval for Knowledge Graph Question Answering. CoRR Costas Mavromatis, Soji Adeshina, Vassilis N. Ioannidis, Zhen Han, Qi Zhu, Ian Robinson, Bryan Thompson, Huzefa Rangwala, George Karypis
2025	J	`jnl`	BoundRL: Efficient Structured Text Segmentation through Reinforced Boundary Generation. CoRR Haoyuan Li, Zhengyuan Shen, Sullam Jeoung, Yueyan Chen, Jiayu Li, Qi Zhu, Shuai Wang, Vassilis N. Ioannidis, Huzefa Rangwala
2025	J	`jnl`	Empowering GNNs for Domain Adaptation via Denoising Target Graph. CoRR Haiyang Yu, Meng-Chieh Lee, Xiang Song, Qi Zhu, Christos Faloutsos
2025	—	`conf`	HybGRAG: Hybrid Retrieval-Augmented Generation on Textual and Relational Knowledge Bases. ACL (1) Meng-Chieh Lee, Qi Zhu, Costas Mavromatis, Zhen Han, Soji Adeshina, Vassilis N. Ioannidis, Huzefa Rangwala, Christos Faloutsos
2025	A	`conf`	MCRanker: Generating Diverse Criteria On-the-Fly to Improve Pointwise LLM Rankers. WSDM Fang Guo, Wenyu Li, Honglei Zhuang, Yun Luo, Yafu Li, Le Yan, Qi Zhu, Yue Zhang
2025	—	`conf`	SKnow-LLM Workshop: Structured Knowledge for Large Language Models. KDD (2) Qi Zhu, Xiusi Chen, Yu Zhang, Soji Adeshina, Costas Mavromatis, Zhen Han, Vassilis N. Ioannidis, Leman Akoglu, Danai Koutra, Huzefa Rangwala
2025	A*	`conf`	Spectro-Riemannian Graph Neural Networks. ICLR Karish Grover, Haiyang Yu, Xiang Song, Qi Zhu, Han Xie, Vassilis N. Ioannidis, Christos Faloutsos
2025	J	`jnl`	Spectro-Riemannian Graph Neural Networks. CoRR Karish Grover, Haiyang Yu, Xiang Song, Qi Zhu, Han Xie, Vassilis N. Ioannidis, Christos Faloutsos
2024	A*	`conf`	Can GNN be Good Adapter for LLMs? WWW Xuanwen Huang, Kaiqiao Han, Yang Yang, Dezheng Bao, Quanjin Tao, Ziwei Chai, Qi Zhu
2024	J	`jnl`	Can GNN be Good Adapter for LLMs? CoRR Xuanwen Huang, Kaiqiao Han, Yang Yang, Dezheng Bao, Quanjin Tao, Ziwei Chai, Qi Zhu
2024	A*	`conf`	Fine-Tuning Graph Neural Networks by Preserving Graph Generative Patterns. AAAI Yifei Sun, Qi Zhu, Yang Yang, Chunping Wang, Tianyu Fan, Jiajun Zhu, Lei Chen
2024	A*	`conf`	GraphStorm: All-in-one Graph Machine Learning Framework for Industry Applications. KDD Da Zheng, Xiang Song, Qi Zhu, Jian Zhang, Theodore Vasiloudis, Runjie Ma, Houyu Zhang, Zichen Wang, Soji Adeshina, Israt Nisa, Alejandro Mottini, Qingjun Cui, Huzefa Rangwala, Belinda Zeng, Christos Faloutsos, George Karypis
2024	J	`jnl`	GraphStorm: all-in-one graph machine learning framework for industry applications. CoRR Da Zheng, Xiang Song, Qi Zhu, Jiani Zhang, Theodore Vasiloudis, Runjie Ma, Houyu Zhang, Zichen Wang, Soji Adeshina, Israt Nisa, Alejandro Mottini, Qingjun Cui, Huzefa Rangwala, Belinda Zeng, Christos Faloutsos, George Karypis
2024	J	`jnl`	Hierarchical Compression of Text-Rich Graphs via Large Language Models. CoRR Shichang Zhang, Da Zheng, Jiani Zhang, Qi Zhu, Xiang Song, Soji Adeshina, Christos Faloutsos, George Karypis, Yizhou Sun
2024	J	`jnl`	HybGRAG: Hybrid Retrieval-Augmented Generation on Textual and Relational Knowledge Bases. CoRR Meng-Chieh Lee, Qi Zhu, Costas Mavromatis, Zhen Han, Soji Adeshina, Vassilis N. Ioannidis, Huzefa Rangwala, Christos Faloutsos
2024	J	`jnl`	Parameter-Efficient Tuning Large Language Models for Graph Representation Learning. CoRR Qi Zhu, Da Zheng, Xiang Song, Shichang Zhang, Bowen Jin, Yizhou Sun, George Karypis
2023	J	`jnl`	Explaining and Adapting Graph Conditional Shift. CoRR Qi Zhu, Yizhu Jiao, Natalia Ponomareva, Jiawei Han, Bryan Perozzi
2023	J	`jnl`	Fine-tuning Graph Neural Networks by Preserving Graph Generative Patterns. CoRR Yifei Sun, Qi Zhu, Yang Yang, Chunping Wang, Tianyu Fan, Jiajun Zhu, Lei Chen
2023	A*	`conf`	Heterformer: Transformer-based Deep Node Representation Learning on Heterogeneous Text-Rich Networks. KDD Bowen Jin, Yu Zhang, Qi Zhu, Jiawei Han
2023	—	`conf`	Patton: Language Model Pretraining on Text-Rich Networks. ACL (1) Bowen Jin, Wentao Zhang, Yu Zhang, Yu Meng, Xinyang Zhang, Qi Zhu, Jiawei Han
2023	J	`jnl`	Patton: Language Model Pretraining on Text-Rich Networks. CoRR Bowen Jin, Wentao Zhang, Yu Zhang, Yu Meng, Xinyang Zhang, Qi Zhu, Jiawei Han
2023	J	`jnl`	Prompt-based Node Feature Extractor for Few-shot Learning on Text-Attributed Graphs. CoRR Xuanwen Huang, Kaiqiao Han, Dezheng Bao, Quanjin Tao, Zhisheng Zhang, Yang Yang, Qi Zhu
2023	J	`jnl`	Single-Pass Contrastive Learning Can Work for Both Homophilic and Heterophilic Graph. Trans. Mach. Learn. Res. Haonan Wang, Jieyu Zhang, Qi Zhu, Wei Huang, Kenji Kawaguchi, Xiaokui Xiao
2023	A*	`conf`	The Effect of Metadata on Scientific Literature Tagging: A Cross-Field Cross-Model Study. WWW Yu Zhang, Bowen Jin, Qi Zhu, Yu Meng, Jiawei Han
2023	J	`jnl`	The Effect of Metadata on Scientific Literature Tagging: A Cross-Field Cross-Model Study. CoRR Yu Zhang, Bowen Jin, Qi Zhu, Yu Meng, Jiawei Han
2022	J	`jnl`	Augmentation-Free Graph Contrastive Learning. CoRR Haonan Wang, Jieyu Zhang, Qi Zhu, Wei Huang
2022	J	`jnl`	Can Single-Pass Contrastive Learning Work for Both Homophilic and Heterophilic Graph? CoRR Haonan Wang, Jieyu Zhang, Qi Zhu, Wei Huang
2022	J	`jnl`	Heterformer: A Transformer Architecture for Node Representation Learning on Heterogeneous Text-Rich Networks. CoRR Bowen Jin, Yu Zhang, Qi Zhu, Jiawei Han
2022	J	`jnl`	Shift-Robust Node Classification via Graph Adversarial Clustering. CoRR Qi Zhu, Chao Zhang, Chanyoung Park, Carl Yang, Jiawei Han
2021	A	`conf`	SUMDocS: Surrounding-aware Unsupervised Multi-Document Summarization. SDM Qi Zhu, Fang Guo, Jingjing Tian, Yuning Mao, Jiawei Han
2021	A*	`conf`	Shift-Robust GNNs: Overcoming the Limitations of Localized Graph Training data. NeurIPS Qi Zhu, Natalia Ponomareva, Jiawei Han, Bryan Perozzi
2021	J	`jnl`	Shift-Robust GNNs: Overcoming the Limitations of Localized Graph Training data. CoRR Qi Zhu, Natalia Ponomareva, Jiawei Han, Bryan Perozzi
2021	A*	`conf`	Transfer Learning of Graph Neural Networks with Ego-graph Information Maximization. NeurIPS Qi Zhu, Carl Yang, Yidan Xu, Haonan Wang, Chao Zhang, Jiawei Han
2020	A*	`conf`	Collective Multi-type Entity Alignment Between Knowledge Graphs. WWW Qi Zhu, Hao Wei, Bunyamin Sisman, Da Zheng, Christos Faloutsos, Xin Luna Dong, Jiawei Han
2020	A*	`conf`	Facet-Aware Evaluation for Extractive Summarization. ACL Yuning Mao, Liyuan Liu, Qi Zhu, Xiang Ren, Jiawei Han
2020	J	`jnl`	Transfer Learning of Graph Neural Networks with Ego-graph Information Maximization. CoRR Qi Zhu, Yidan Xu, Haonan Wang, Chao Zhang, Jiawei Han, Carl Yang
2020	A*	`conf`	Unsupervised Differentiable Multi-aspect Network Embedding. KDD Chanyoung Park, Carl Yang, Qi Zhu, Donghyun Kim, Hwanjo Yu, Jiawei Han
2020	J	`jnl`	Unsupervised Differentiable Multi-aspect Network Embedding. CoRR Chanyoung Park, Carl Yang, Qi Zhu, Donghyun Kim, Hwanjo Yu, Jiawei Han
2019	A	`conf`	Discovering Hypernymy in Text-Rich Heterogeneous Information Network by Exploiting Context Granularity. CIKM Yu Shi, Jiaming Shen, Yuchen Li, Naijing Zhang, Xinwei He, Zhengzhi Lou, Qi Zhu, Matthew Walker, Myunghwan Kim, Jiawei Han
2019	J	`jnl`	Discovering Hypernymy in Text-Rich Heterogeneous Information Network by Exploiting Context Granularity. CoRR Yu Shi, Jiaming Shen, Yuchen Li, Naijing Zhang, Xinwei He, Zhengzhi Lou, Qi Zhu, Matthew Walker, Myunghwan Kim, Jiawei Han
2019	J	`jnl`	Facet-Aware Evaluation for Extractive Text Summarization. CoRR Yuning Mao, Liyuan Liu, Qi Zhu, Xiang Ren, Jiawei Han
2019	A	`conf`	Integrating Local Context and Global Cohesiveness for Open Information Extraction. WSDM Qi Zhu, Xiang Ren, Jingbo Shang, Yu Zhang, Ahmed El-Kishky, Jiawei Han
2019	A	`conf`	Task-Guided Pair Embedding in Heterogeneous Network. CIKM Chanyoung Park, Donghyun Kim, Qi Zhu, Jiawei Han, Hwanjo Yu
2019	J	`jnl`	Task-Guided Pair Embedding in Heterogeneous Network. CoRR Chanyoung Park, Donghyun Kim, Qi Zhu, Jiawei Han, Hwanjo Yu
2018	A	`conf`	AspEm: Embedding Learning by Aspects in Heterogeneous Information Networks. SDM Yu Shi, Huan Gui, Qi Zhu, Lance M. Kaplan, Jiawei Han
2018	J	`jnl`	AspEm: Embedding Learning by Aspects in Heterogeneous Information Networks. CoRR Yu Shi, Huan Gui, Qi Zhu, Lance M. Kaplan, Jiawei Han
2018	A*	`conf`	Easing Embedding Learning by Comprehensive Transcription of Heterogeneous Information Networks. KDD Yu Shi, Qi Zhu, Fang Guo, Chao Zhang, Jiawei Han
2018	J	`jnl`	Easing Embedding Learning by Comprehensive Transcription of Heterogeneous Information Networks. CoRR Yu Shi, Qi Zhu, Fang Guo, Chao Zhang, Jiawei Han
2018	J	`jnl`	Expert Finding in Heterogeneous Bibliographic Networks with Locally-trained Embeddings. CoRR Huan Gui, Qi Zhu, Liyuan Liu, Aston Zhang, Jiawei Han
2018	J	`jnl`	Integrating Local Context and Global Cohesiveness for Open Information Extraction. CoRR Qi Zhu, Xiang Ren, Jingbo Shang, Yu Zhang, Frank F. Xu, Jiawei Han
2018	—	`conf`	Open Information Extraction with Global Structure Constraints. WWW (Companion Volume) Qi Zhu, Xiang Ren, Jingbo Shang, Yu Zhang, Frank F. Xu, Jiawei Han
2017	A*	`conf`	Heterogeneous Supervision for Relation Extraction: A Representation Learning Approach. EMNLP Liyuan Liu, Xiang Ren, Qi Zhu, Shi Zhi, Huan Gui, Heng Ji, Jiawei Han
2017	J	`jnl`	Heterogeneous Supervision for Relation Extraction: A Representation Learning Approach. CoRR Liyuan Liu, Xiang Ren, Qi Zhu, Shi Zhi, Huan Gui, Heng Ji, Jiawei Han
2017	—	`conf`	Life-iNet: A Structured Network-Based Knowledge Exploration and Analytics System for Life Sciences. ACL (System Demonstrations) Xiang Ren, Jiaming Shen, Meng Qu, Xuan Wang, Zeqiu Wu, Qi Zhu, Meng Jiang, Fangbo Tao, Saurabh Sinha, David Liem, Peipei Ping, Richard M. Weinshilboum, Jiawei Han
2017	J	`jnl`	Wikidata Vandalism Detection - The Loganberry Vandalism Detector at WSDM Cup 2017. CoRR Qi Zhu, Hongwei Ng, Liyuan Liu, Ziwei Ji, Bingjie Jiang, Jiaming Shen, Huan Gui