Hierarchical Community Structure Preserving Network Embedding: A Subspace Approach. - Qingqing Long; Yiming Wang; Lun Du; Guojie Song; Yilun Jin; Wei Lin (CIKM, 2019)

Learning Node Representations from Noisy Graph Structures. - Junshan Wang; Ziyao Li; Qingqing Long; Weiyu Zhang; Guojie Song; Chuan Shi 001 (ICDM, 2020)

Graph Structural-topic Neural Network. - Qingqing Long; Yilun Jin; Guojie Song; Yi Li 044; Wei Lin (KDD, 2020)

Fast Hierarchy Preserving Graph Embedding via Subspace Constraints. - Xu Chen 022; Lun Du; Mengyuan Chen; Yun Wang 012; Qingqing Long; Kunqing Xie (ICASSP, 2021)

Spatial-Temporal Graph ODE Networks for Traffic Flow Forecasting. - Zheng Fang 007; Qingqing Long; Guojie Song; Kunqing Xie (KDD, 2021)

HGK-GNN: Heterogeneous Graph Kernel based Graph Neural Networks. - Qingqing Long; Lingjun Xu; Zheng Fang 007; Guojie Song (KDD, 2021)

Explicit Semantic Cross Feature Learning via Pre-trained Graph Neural Networks for CTR Prediction. - Feng Li; Bencheng Yan; Qingqing Long; Pengjie Wang 002; Wei Lin 016; Jian Xu 015; Bo Zheng 007 (SIGIR, 2021)

Theoretically Improving Graph Neural Networks via Anonymous Walk Graph Kernels. - Qingqing Long; Yilun Jin; Yi Wu; Guojie Song (WWW, 2021)

Joint Optimization of Ad Ranking and Creative Selection. - Kaiyi Lin; Xiang Zhang 001; Feng Li; Pengjie Wang 002; Qingqing Long; Hongbo Deng; Jian Xu 015; Bo Zheng 007 (SIGIR, 2022)

Polarized Graph Neural Networks. - Zheng Fang 007; Lingjun Xu; Guojie Song; Qingqing Long; Yingxue Zhang 001 (WWW, 2022)

Deep Convolutional Neural Network Based Medical Concept Normalization. - Guojie Song; Qingqing Long; Yi Luo; Yiming Wang; Yilun Jin (IEEE Trans. Big Data, 2022)

A Comprehensive Survey on Deep Graph Representation Learning. - Wei Ju 001; Zheng Fang 007; Yiyang Gu; Zequn Liu; Qingqing Long; Ziyue Qiao; Yifang Qin; Jianhao Shen; Fang Sun; Zhiping Xiao 001; Junwei Yang; Jingyang Yuan; et al. (CoRR, 2023)

GeneSum: Large Language Model-based Gene Summary Extraction. - Zhijian Chen; Chuan Hu; Min Wu 008; Qingqing Long; Xuezhi Wang 004; Yuanchun Zhou; Meng Xiao 001 (BIBM, 2024)

Comprehensive Metapath-based Heterogeneous Graph Transformer for Gene-Disease Association Prediction. - Wentao Cui; Shoubo Li; Chen Fang; Qingqing Long; Chengrui Wang; Xuezhi Wang 002; Yuanchun Zhou (BIBM, 2024)

PIXEL: Prompt-based Zero-shot Hashing via Visual and Textual Semantic Alignment. - Zeyu Dong; Qingqing Long; Yihang Zhou; Pengfei Wang 008; Zhihong Zhu; Xiao Luo 001; Yidong Wang; Pengyang Wang; Yuanchun Zhou (CIKM, 2024)

GUME: Graphs and User Modalities Enhancement for Long-Tail Multimodal Recommendation. - Guojiao Lin; Zhen Meng; Dongjie Wang; Qingqing Long; Yuanchun Zhou; Meng Xiao 001 (CIKM, 2024)

MOAT: Graph Prompting for 3D Molecular Graphs. - Qingqing Long; Yuchen Yan; Wentao Cui; Wei Ju 001; Zhihong Zhu; Yuanchun Zhou; Xuezhi Wang 004; Meng Xiao 001 (CIKM, 2024)

SCREADER: Prompting Large Language Models to Interpret scRNA-seq Data. - Cong Li; Qingqing Long; Yuanchun Zhou; Meng Xiao 001 (ICDM (Workshops), 2024)

AMPCL: Adaptive Meta-path Selection and Contrastive Learning for miRNA-Disease Prediction. - Wentao Cui; Chuan Hu; Chen Fang; Qingqing Long; Jiahao Zhang; Xuezhi Wang 004; Yuanchun Zhou (ICONIP (5), 2024)

A Survey of Data-Efficient Graph Learning. - Wei Ju 001; Siyu Yi; Yifan Wang 014; Qingqing Long; Junyu Luo 002; Zhiping Xiao 001; Ming Zhang 004 (IJCAI, 2024)

Multivariate Cooperative Game for Image-Report Pairs: Hierarchical Semantic Alignment for Medical Report Generation. - Zhihong Zhu; Xuxin Cheng; Yunyan Zhang; Zhaorun Chen; Qingqing Long; Hongxiang Li; Zhiqi Huang 001; Xian Wu 001; Yefeng Zheng 001 (MICCAI (3), 2024)

Unveiling Delay Effects in Traffic Forecasting: A Perspective from Spatial-Temporal Delay Differential Equations. - Qingqing Long; Zheng Fang 007; Chen Fang; Chong Chen 002; Pengfei Wang 008; Yuanchun Zhou (WWW, 2024)

Inductive Graph Alignment Prompt: Bridging the Gap between Graph Pre-training and Inductive Fine-tuning From Spectral Perspective. - Yuchen Yan; Peiyan Zhang; Zheng Fang 007; Qingqing Long (WWW, 2024)

Refining computational inference of gene regulatory networks: integrating knockout data within a multi-task framework. - Wentao Cui; Qingqing Long; Meng Xiao 001; Xuezhi Wang 004; Guihai Feng; Xin Li; Pengfei Wang 008; Yuanchun Zhou (Briefings Bioinform., 2024)

COMAE: COMprehensive Attribute Exploration for Zero-shot Hashing. - Yihang Zhou; Qingqing Long; Yuchen Yan; Xiao Luo 001; Zeyu Dong; Xuezhi Wang 004; Zhen Meng; Pengfei Wang 008; Yuanchun Zhou (CoRR, 2024)

Towards Graph Contrastive Learning: A Survey and Beyond. - Wei Ju 001; Yifan Wang 014; Yifang Qin; Zhengyang Mao; Zhiping Xiao 001; Junyu Luo 002; Junwei Yang; Yiyang Gu; Dongjie Wang; Qingqing Long; Siyu Yi; Xiao Luo 001; et al. (CoRR, 2024)

Enhancing Tabular Data Optimization with a Flexible Graph-based Reinforced Exploration Strategy. - Xiaohan Huang 003; Dongjie Wang; Zhiyuan Ning; Ziyue Qiao; Qingqing Long; Haowei Zhu; Min Wu 008; Yuanchun Zhou; Meng Xiao 001 (CoRR, 2024)

BioRAG: A RAG-LLM Framework for Biological Question Reasoning. - Chengrui Wang; Qingqing Long; Meng Xiao 001; Xunxin Cai; Chengjun Wu; Zhen Meng; Xuezhi Wang 004; Yuanchun Zhou (CoRR, 2024)

A Comprehensive Survey on Deep Graph Representation Learning. - Wei Ju 001; Zheng Fang 007; Yiyang Gu; Zequn Liu; Qingqing Long; Ziyue Qiao; Yifang Qin; Jianhao Shen; Fang Sun; Zhiping Xiao 001; Junwei Yang; Jingyang Yuan; et al. (Neural Networks, 2024)

Can We Trust AI Doctors? A Survey of Medical Hallucination in Large Language and Large Vision-Language Models. - Zhihong Zhu; Yunyan Zhang; Xianwei Zhuang; Fan Zhang; Zhongwei Wan; Yuyan Chen; Qingqing Long; Yefeng Zheng 001; Xian Wu 001 (ACL (Findings), 2025)

Fastft: Accelerating Reinforced Feature Transformation via Advanced Exploration Strategies. - Tianqi He; Xiaohan Huang 003; Yi Du; Qingqing Long; Ziyue Qiao; Min Wu 008; Yanjie Fu; Yuanchun Zhou; Meng Xiao 001 (ICDE, 2025)

COMAE: COMprehensive Attribute Exploration for Zero-shot Hashing. - Yuqi Li; Qingqing Long; Yihang Zhou; Ran Zhang 008; Zhiyuan Ning; Zhihong Zhu; Yuanchun Zhou; Xuezhi Wang 004; Meng Xiao 001 (ICMR, 2025)

Learning Resistant Binary Descriptors Against Noise for Efficient Image Retrieval. - Qingqing Long; Haixin Wang 003; Jinan Sun; Wei Xiang; Yijia Xiao; Yusheng Zhao; Xiao Luo 001 (SIGIR, 2025)

Knowledge Hierarchy Guided Biological-Medical Dataset Distillation for Domain LLM Training. - Xunxin Cai; Chengrui Wang; Qingqing Long; Yuanchun Zhou; Meng Xiao 001 (CoRR, 2025)

Hierarchical Graph Transformer With Contrastive Learning for Gene Regulatory Network Inference. - Wentao Cui; Qingqing Long; Wenhao Liu; Chen Fang; Xuezhi Wang 004; Pengfei Wang 008; Yuanchun Zhou (IEEE J. Biomed. Health Informatics, 2025)

Learning Knowledge-diverse Experts for Long-tailed Graph Classification. - Zhengyang Mao; Wei Ju 001; Siyu Yi; Yifan Wang 014; Zhiping Xiao 001; Qingqing Long; Nan Yin; Xinwang Liu 002; Ming Zhang 004 (ACM Trans. Knowl. Discov. Data, 2025)

SciHorizon: Benchmarking AI-for-Science Readiness from Scientific Data to Large Language Models. - Chuan Qin 002; Xin Chen; Chengrui Wang; Pengmin Wu; Xi Chen 073; Yihang Cheng 001; Jingyi Zhao; Meng Xiao 001; Xiangchao Dong; Qingqing Long; Boya Pan; Han Wu 002; et al. (CoRR, 2025)

Large Language Model Agent: A Survey on Methodology, Applications and Challenges. - Junyu Luo 002; Weizhi Zhang; Ye Yuan; Yusheng Zhao; Junwei Yang; Yiyang Gu; Bohan Wu; Binqi Chen; Ziyue Qiao; Qingqing Long; Rongcheng Tu; Xiao Luo 001; et al. (CoRR, 2025)

Collaborative Multi-Agent Reinforcement Learning for Automated Feature Transformation with Graph-Driven Path Optimization. - Xiaohan Huang 003; Dongjie Wang; Zhiyuan Ning; Ziyue Qiao; Qingqing Long; Haowei Zhu; Yi Du; Min Wu 008; Yuanchun Zhou; Meng Xiao 001 (CoRR, 2025)

Comprehend, Divide, and Conquer: Feature Subspace Exploration via Multi-Agent Hierarchical Reinforcement Learning. - Weiliang Zhang; Xiaohan Huang 003; Yi Du; Ziyue Qiao; Qingqing Long; Zhen Meng; Yuanchun Zhou; Meng Xiao 001 (CoRR, 2025)

SciRerankBench: Benchmarking Rerankers Towards Scientific Retrieval-Augmented Generated LLMs. - Haotian Chen; Qingqing Long; Meng Xiao 001; Xiao Luo 001; Wei Ju 001; Chengrui Wang; Xuezhi Wang 004; Yuanchun Zhou; Hengshu Zhu (CoRR, 2025)

CITE: A Comprehensive Benchmark for Heterogeneous Text-Attributed Graphs on Catalytic Materials. - Chenghao Zhang; Qingqing Long; Ludi Wang; Wenjuan Cui; Jianjun Yu; Yi Du (CoRR, 2025)