Qingqing Long - RankMe

62 papers A* 14A 4B 1Misc 1Journal 34Unranked 8

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	DeepEra: A Deep Evidence Reranking Agent for Scientific Retrieval-Augmented Generated Question Answering. CoRR Haotian Chen, Qingqing Long, Siyu Pu, Xiao Luo, Wei Ju, Meng Xiao, Yuanchun Zhou, Jianghua Zhao, Xuezhi Wang
2026	A*	`conf`	FairGC: Fostering Individual and Group Fairness for Deep Graph Clustering. AAAI Haodong Zhang, Xinyue Wang, Tao Ren, Yifan Wang, Siyu Yi, Fanchun Meng, Zeyu Ma, Qingqing Long, Wei Ju
2026	J	`jnl`	SciHorizon-GENE: Benchmarking LLM for Life Sciences Inference from Gene Knowledge to Functional Understanding. CoRR Xiaohan Huang, Meng Xiao, Chuan Qin, Qingqing Long, Jinmiao Chen, Yuanchun Zhou, Hengshu Zhu
2026	J	`jnl`	ScienceDB AI: An LLM-Driven Agentic Recommender System for Large-Scale Scientific Data Sharing Services. CoRR Qingqing Long, Haotian Chen, Chenyang Zhao, Xiaolei Du, Xuezhi Wang, Pengyao Wang, Chengzan Li, Yuanchun Zhou, Hengshu Zhu
2025	—	`conf`	A Survey on Multi-modal Intent Recognition: Recent Advances and New Frontiers. EMNLP (Findings) Zhihong Zhu, Fan Zhang, Yunyan Zhang, Jinghan Sun, Zhiqi Huang, Qingqing Long, Bowen Xing, Xian Wu
2025	J	`jnl`	CITE: A Comprehensive Benchmark for Heterogeneous Text-Attributed Graphs on Catalytic Materials. CoRR Chenghao Zhang, Qingqing Long, Ludi Wang, Wenjuan Cui, Jianjun Yu, Yi Du
2025	B	`conf`	COMAE: COMprehensive Attribute Exploration for Zero-shot Hashing. ICMR Yuqi Li, Qingqing Long, Yihang Zhou, Ran Zhang, Zhiyuan Ning, Zhihong Zhu, Yuanchun Zhou, Xuezhi Wang, Meng Xiao
2025	—	`conf`	Can We Trust AI Doctors? A Survey of Medical Hallucination in Large Language and Large Vision-Language Models. ACL (Findings) Zhihong Zhu, Yunyan Zhang, Xianwei Zhuang, Fan Zhang, Zhongwei Wan, Yuyan Chen, Qingqing Long, Yefeng Zheng, Xian Wu
2025	J	`jnl`	Collaborative Multi-Agent Reinforcement Learning for Automated Feature Transformation with Graph-Driven Path Optimization. CoRR Xiaohan Huang, Dongjie Wang, Zhiyuan Ning, Ziyue Qiao, Qingqing Long, Haowei Zhu, Yi Du, Min Wu, Yuanchun Zhou, Meng Xiao
2025	J	`jnl`	Comprehend, Divide, and Conquer: Feature Subspace Exploration via Multi-Agent Hierarchical Reinforcement Learning. CoRR Weiliang Zhang, Xiaohan Huang, Yi Du, Ziyue Qiao, Qingqing Long, Zhen Meng, Yuanchun Zhou, Meng Xiao
2025	J	`jnl`	Comprehensive Metapath-based Heterogeneous Graph Transformer for Gene-Disease Association Prediction. CoRR Wentao Cui, Shoubo Li, Chen Fang, Qingqing Long, Chengrui Wang, Xuezhi Wang, Yuanchun Zhou
2025	J	`jnl`	FastFT: Accelerating Reinforced Feature Transformation via Advanced Exploration Strategies. CoRR Tianqi He, Xiaohan Huang, Yi Du, Qingqing Long, Ziyue Qiao, Min Wu, Yanjie Fu, Yuanchun Zhou, Meng Xiao
2025	A*	`conf`	Fastft: Accelerating Reinforced Feature Transformation via Advanced Exploration Strategies. ICDE Tianqi He, Xiaohan Huang, Yi Du, Qingqing Long, Ziyue Qiao, Min Wu, Yanjie Fu, Yuanchun Zhou, Meng Xiao
2025	J	`jnl`	Hierarchical Graph Transformer With Contrastive Learning for Gene Regulatory Network Inference. IEEE J. Biomed. Health Informatics Wentao Cui, Qingqing Long, Wenhao Liu, Chen Fang, Xuezhi Wang, Pengfei Wang, Yuanchun Zhou
2025	J	`jnl`	How Do Large Language Models Understand Genes and Cells. ACM Trans. Intell. Syst. Technol. Chen Fang, Yidong Wang, Yunze Song, Qingqing Long, Wang Lu, Linghui Chen, Guihai Feng, Yuanchun Zhou, Xin Li
2025	J	`jnl`	Knowledge Hierarchy Guided Biological-Medical Dataset Distillation for Domain LLM Training. CoRR Xunxin Cai, Chengrui Wang, Qingqing Long, Yuanchun Zhou, Meng Xiao
2025	J	`jnl`	Large Language Model Agent: A Survey on Methodology, Applications and Challenges. CoRR Junyu Luo, Weizhi Zhang, Ye Yuan, Yusheng Zhao, Junwei Yang, Yiyang Gu, Bohan Wu, Binqi Chen, Ziyue Qiao, Qingqing Long, Rongcheng Tu, Xiao Luo, Wei Ju, Zhiping Xiao, Yifan Wang, Meng Xiao, Chenwu Liu, Jingyang Yuan, Shichang Zhang, Yiqiao Jin, Fan Zhang, Xian Wu, Hanqing Zhao, Dacheng Tao, Philip S. Yu, Ming Zhang
2025	J	`jnl`	Learning Knowledge-diverse Experts for Long-tailed Graph Classification. ACM Trans. Knowl. Discov. Data Zhengyang Mao, Wei Ju, Siyu Yi, Yifan Wang, Zhiping Xiao, Qingqing Long, Nan Yin, Xinwang Liu, Ming Zhang
2025	A*	`conf`	Learning Resistant Binary Descriptors Against Noise for Efficient Image Retrieval. SIGIR Qingqing Long, Haixin Wang, Jinan Sun, Wei Xiang, Yijia Xiao, Yusheng Zhao, Xiao Luo
2025	—	`conf`	SciHorizon: Benchmarking AI-for-Science Readiness from Scientific Data to Large Language Models. KDD (2) Chuan Qin, Xin Chen, Chengrui Wang, Pengmin Wu, Xi Chen, Yihang Cheng, Jingyi Zhao, Meng Xiao, Xiangchao Dong, Qingqing Long, Boya Pan, Han Wu, Chengzan Li, Yuanchun Zhou, Hui Xiong, Hengshu Zhu
2025	J	`jnl`	SciHorizon: Benchmarking AI-for-Science Readiness from Scientific Data to Large Language Models. CoRR Chuan Qin, Xin Chen, Chengrui Wang, Pengmin Wu, Xi Chen, Yihang Cheng, Jingyi Zhao, Meng Xiao, Xiangchao Dong, Qingqing Long, Boya Pan, Han Wu, Chengzan Li, Yuanchun Zhou, Hui Xiong, Hengshu Zhu
2025	J	`jnl`	SciRerankBench: Benchmarking Rerankers Towards Scientific Retrieval-Augmented Generated LLMs. CoRR Haotian Chen, Qingqing Long, Meng Xiao, Xiao Luo, Wei Ju, Chengrui Wang, Xuezhi Wang, Yuanchun Zhou, Hengshu Zhu
2024	J	`jnl`	A Comprehensive Survey on Deep Graph Representation Learning. Neural Networks Wei Ju, Zheng Fang, Yiyang Gu, Zequn Liu, Qingqing Long, Ziyue Qiao, Yifang Qin, Jianhao Shen, Fang Sun, Zhiping Xiao, Junwei Yang, Jingyang Yuan, Yusheng Zhao, Yifan Wang, Xiao Luo, Ming Zhang
2024	A*	`conf`	A Survey of Data-Efficient Graph Learning. IJCAI Wei Ju, Siyu Yi, Yifan Wang, Qingqing Long, Junyu Luo, Zhiping Xiao, Ming Zhang
2024	J	`jnl`	A Survey of Data-Efficient Graph Learning. CoRR Wei Ju, Siyu Yi, Yifan Wang, Qingqing Long, Junyu Luo, Zhiping Xiao, Ming Zhang
2024	—	`conf`	AMPCL: Adaptive Meta-path Selection and Contrastive Learning for miRNA-Disease Prediction. ICONIP (5) Wentao Cui, Chuan Hu, Chen Fang, Qingqing Long, Jiahao Zhang, Xuezhi Wang, Yuanchun Zhou
2024	J	`jnl`	BioRAG: A RAG-LLM Framework for Biological Question Reasoning. CoRR Chengrui Wang, Qingqing Long, Meng Xiao, Xunxin Cai, Chengjun Wu, Zhen Meng, Xuezhi Wang, Yuanchun Zhou
2024	J	`jnl`	COMAE: COMprehensive Attribute Exploration for Zero-shot Hashing. CoRR Yihang Zhou, Qingqing Long, Yuchen Yan, Xiao Luo, Zeyu Dong, Xuezhi Wang, Zhen Meng, Pengfei Wang, Yuanchun Zhou
2024	—	`conf`	Comprehensive Metapath-based Heterogeneous Graph Transformer for Gene-Disease Association Prediction. BIBM Wentao Cui, Shoubo Li, Chen Fang, Qingqing Long, Chengrui Wang, Xuezhi Wang, Yuanchun Zhou
2024	J	`jnl`	Enhancing Tabular Data Optimization with a Flexible Graph-based Reinforced Exploration Strategy. CoRR Xiaohan Huang, Dongjie Wang, Zhiyuan Ning, Ziyue Qiao, Qingqing Long, Haowei Zhu, Min Wu, Yuanchun Zhou, Meng Xiao
2024	A	`conf`	GUME: Graphs and User Modalities Enhancement for Long-Tail Multimodal Recommendation. CIKM Guojiao Lin, Zhen Meng, Dongjie Wang, Qingqing Long, Yuanchun Zhou, Meng Xiao
2024	J	`jnl`	GUME: Graphs and User Modalities Enhancement for Long-Tail Multimodal Recommendation. CoRR Guojiao Lin, Zhen Meng, Dongjie Wang, Qingqing Long, Yuanchun Zhou, Meng Xiao
2024	J	`jnl`	GeneSUM: Large Language Model-based Gene Summary Extraction. CoRR Zhijian Chen, Chuan Hu, Min Wu, Qingqing Long, Xuezhi Wang, Yuanchun Zhou, Meng Xiao
2024	—	`conf`	GeneSum: Large Language Model-based Gene Summary Extraction. BIBM Zhijian Chen, Chuan Hu, Min Wu, Qingqing Long, Xuezhi Wang, Yuanchun Zhou, Meng Xiao
2024	A*	`conf`	Inductive Graph Alignment Prompt: Bridging the Gap between Graph Pre-training and Inductive Fine-tuning From Spectral Perspective. WWW Yuchen Yan, Peiyan Zhang, Zheng Fang, Qingqing Long
2024	J	`jnl`	Inductive Graph Alignment Prompt: Bridging the Gap between Graph Pre-training and Inductive Fine-tuning From Spectral Perspective. CoRR Yuchen Yan, Peiyan Zhang, Zheng Fang, Qingqing Long
2024	A	`conf`	MOAT: Graph Prompting for 3D Molecular Graphs. CIKM Qingqing Long, Yuchen Yan, Wentao Cui, Wei Ju, Zhihong Zhu, Yuanchun Zhou, Xuezhi Wang, Meng Xiao
2024	—	`conf`	Multivariate Cooperative Game for Image-Report Pairs: Hierarchical Semantic Alignment for Medical Report Generation. MICCAI (3) Zhihong Zhu, Xuxin Cheng, Yunyan Zhang, Zhaorun Chen, Qingqing Long, Hongxiang Li, Zhiqi Huang, Xian Wu, Yefeng Zheng
2024	A	`conf`	PIXEL: Prompt-based Zero-shot Hashing via Visual and Textual Semantic Alignment. CIKM Zeyu Dong, Qingqing Long, Yihang Zhou, Pengfei Wang, Zhihong Zhu, Xiao Luo, Yidong Wang, Pengyang Wang, Yuanchun Zhou
2024	J	`jnl`	Refining computational inference of gene regulatory networks: integrating knockout data within a multi-task framework. Briefings Bioinform. Wentao Cui, Qingqing Long, Meng Xiao, Xuezhi Wang, Guihai Feng, Xin Li, Pengfei Wang, Yuanchun Zhou
2024	—	`conf`	SCREADER: Prompting Large Language Models to Interpret scRNA-seq Data. ICDM (Workshops) Cong Li, Qingqing Long, Yuanchun Zhou, Meng Xiao
2024	J	`jnl`	Towards Graph Contrastive Learning: A Survey and Beyond. CoRR Wei Ju, Yifan Wang, Yifang Qin, Zhengyang Mao, Zhiping Xiao, Junyu Luo, Junwei Yang, Yiyang Gu, Dongjie Wang, Qingqing Long, Siyu Yi, Xiao Luo, Ming Zhang
2024	A*	`conf`	Unveiling Delay Effects in Traffic Forecasting: A Perspective from Spatial-Temporal Delay Differential Equations. WWW Qingqing Long, Zheng Fang, Chen Fang, Chong Chen, Pengfei Wang, Yuanchun Zhou
2024	J	`jnl`	Unveiling Delay Effects in Traffic Forecasting: A Perspective from Spatial-Temporal Delay Differential Equations. CoRR Qingqing Long, Zheng Fang, Chen Fang, Chong Chen, Pengfei Wang, Yuanchun Zhou
2024	J	`jnl`	scReader: Prompting Large Language Models to Interpret scRNA-seq Data. CoRR Cong Li, Qingqing Long, Yuanchun Zhou, Meng Xiao
2023	J	`jnl`	A Comprehensive Survey on Deep Graph Representation Learning. CoRR Wei Ju, Zheng Fang, Yiyang Gu, Zequn Liu, Qingqing Long, Ziyue Qiao, Yifang Qin, Jianhao Shen, Fang Sun, Zhiping Xiao, Junwei Yang, Jingyang Yuan, Yusheng Zhao, Xiao Luo, Ming Zhang
2022	J	`jnl`	Deep Convolutional Neural Network Based Medical Concept Normalization. IEEE Trans. Big Data Guojie Song, Qingqing Long, Yi Luo, Yiming Wang, Yilun Jin
2022	A*	`conf`	Joint Optimization of Ad Ranking and Creative Selection. SIGIR Kaiyi Lin, Xiang Zhang, Feng Li, Pengjie Wang, Qingqing Long, Hongbo Deng, Jian Xu, Bo Zheng
2022	A*	`conf`	Polarized Graph Neural Networks. WWW Zheng Fang, Lingjun Xu, Guojie Song, Qingqing Long, Yingxue Zhang
2021	A*	`conf`	Explicit Semantic Cross Feature Learning via Pre-trained Graph Neural Networks for CTR Prediction. SIGIR Feng Li, Bencheng Yan, Qingqing Long, Pengjie Wang, Wei Lin, Jian Xu, Bo Zheng
2021	J	`jnl`	Explicit Semantic Cross Feature Learning via Pre-trained Graph Neural Networks for CTR Prediction. CoRR Feng Li, Bencheng Yan, Qingqing Long, Pengjie Wang, Wei Lin, Jian Xu, Bo Zheng
2021	Misc	`conf`	Fast Hierarchy Preserving Graph Embedding via Subspace Constraints. ICASSP Xu Chen, Lun Du, Mengyuan Chen, Yun Wang, Qingqing Long, Kunqing Xie
2021	A*	`conf`	HGK-GNN: Heterogeneous Graph Kernel based Graph Neural Networks. KDD Qingqing Long, Lingjun Xu, Zheng Fang, Guojie Song
2021	A*	`conf`	Spatial-Temporal Graph ODE Networks for Traffic Flow Forecasting. KDD Zheng Fang, Qingqing Long, Guojie Song, Kunqing Xie
2021	J	`jnl`	Spatial-Temporal Graph ODE Networks for Traffic Flow Forecasting. CoRR Zheng Fang, Qingqing Long, Guojie Song, Kunqing Xie
2021	A*	`conf`	Theoretically Improving Graph Neural Networks via Anonymous Walk Graph Kernels. WWW Qingqing Long, Yilun Jin, Yi Wu, Guojie Song
2021	J	`jnl`	Theoretically Improving Graph Neural Networks via Anonymous Walk Graph Kernels. CoRR Qingqing Long, Yilun Jin, Yi Wu, Guojie Song
2020	A*	`conf`	Graph Structural-topic Neural Network. KDD Qingqing Long, Yilun Jin, Guojie Song, Yi Li, Wei Lin
2020	J	`jnl`	Graph Structural-topic Neural Network. CoRR Qingqing Long, Yilun Jin, Guojie Song, Yi Li, Wei Lin
2020	A*	`conf`	Learning Node Representations from Noisy Graph Structures. ICDM Junshan Wang, Ziyao Li, Qingqing Long, Weiyu Zhang, Guojie Song, Chuan Shi
2020	J	`jnl`	Learning Node Representations from Noisy Graph Structures. CoRR Junshan Wang, Ziyao Li, Qingqing Long, Weiyu Zhang, Guojie Song, Chuan Shi
2019	A	`conf`	Hierarchical Community Structure Preserving Network Embedding: A Subspace Approach. CIKM Qingqing Long, Yiming Wang, Lun Du, Guojie Song, Yilun Jin, Wei Lin