Qingqing Long
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
28
Venues
14
Active years
2019–2026
Best venue rank
A*
Where they publish
Papers
28 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | AAAI | FairGC: Fostering Individual and Group Fairness for Deep Graph Clustering. | Haodong Zhang, Xinyue Wang, Tao Ren, Yifan Wang, Siyu Yi, Fanchun Meng, Zeyu Ma, Qingqing Long, Wei Ju |
| 2026 | ACL | CITE: Benchmarking Heterogeneous Text-Attributed Graph Models. | Chenghao Zhang, Qingqing Long, Ludi Wang, Wenjuan Cui, Jianjun Yu, Yi Du |
| 2026 | DASFAA | A Cross-Modal Hierarchical Contrastive Learning Framework for Protein-Protein Interaction Prediction. | Ran Zhang, Yihong Wang, Xuezhi Wang, Qingqing Long, Jianghua Zhao, Meng Xiao |
| 2025 | ACL | 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, Xian Wu |
| 2025 | DASFAA | Knowledge Hierarchy Guided Biological-Medical Dataset Distillation for Domain LLM Training. | Xunxin Cai, Chengrui Wang, Qingqing Long, Yuanchun Zhou, Meng Xiao |
| 2025 | EMNLP | A Survey on Multi-modal Intent Recognition: Recent Advances and New Frontiers. | Zhihong Zhu, Fan Zhang, Yunyan Zhang, Jinghan Sun, Zhiqi Huang, Qingqing Long, Bowen Xing, Xian Wu |
| 2025 | ICDE | Fastft: Accelerating Reinforced Feature Transformation via Advanced Exploration Strategies. | Tianqi He, Xiaohan Huang, Yi Du, Qingqing Long, Ziyue Qiao, Min Wu, Yanjie Fu, Yuanchun Zhou, Meng Xiao |
| 2025 | KDD | SciHorizon: Benchmarking AI-for-Science Readiness from Scientific Data to Large Language Models. | 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 | SIGIR | Learning Resistant Binary Descriptors Against Noise for Efficient Image Retrieval. | Qingqing Long, Haixin Wang, Jinan Sun, Wei Xiang, Yijia Xiao, Yusheng Zhao, Xiao Luo |
| 2024 | CIKM | PIXEL: Prompt-based Zero-shot Hashing via Visual and Textual Semantic Alignment. | Zeyu Dong, Qingqing Long, Yihang Zhou, Pengfei Wang, Zhihong Zhu, Xiao Luo, Yidong Wang, Pengyang Wang, Yuanchun Zhou |
| 2024 | CIKM | GUME: Graphs and User Modalities Enhancement for Long-Tail Multimodal Recommendation. | Guojiao Lin, Zhen Meng, Dongjie Wang, Qingqing Long, Yuanchun Zhou, Meng Xiao |
| 2024 | CIKM | MOAT: Graph Prompting for 3D Molecular Graphs. | Qingqing Long, Yuchen Yan, Wentao Cui, Wei Ju, Zhihong Zhu, Yuanchun Zhou, Xuezhi Wang, Meng Xiao |
| 2024 | ICDM | SCREADER: Prompting Large Language Models to Interpret scRNA-seq Data. | Cong Li, Qingqing Long, Yuanchun Zhou, Meng Xiao |
| 2024 | ICONIP | AMPCL: Adaptive Meta-path Selection and Contrastive Learning for miRNA-Disease Prediction. | Wentao Cui, Chuan Hu, Chen Fang, Qingqing Long, Jiahao Zhang, Xuezhi Wang, Yuanchun Zhou |
| 2024 | IJCAI | A Survey of Data-Efficient Graph Learning. | Wei Ju, Siyu Yi, Yifan Wang, Qingqing Long, Junyu Luo, Zhiping Xiao, Ming Zhang |
| 2024 | MICCAI | 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, Xian Wu, Yefeng Zheng |
| 2024 | WWW | Unveiling Delay Effects in Traffic Forecasting: A Perspective from Spatial-Temporal Delay Differential Equations. | Qingqing Long, Zheng Fang, Chen Fang, Chong Chen, Pengfei Wang, Yuanchun Zhou |
| 2024 | WWW | Inductive Graph Alignment Prompt: Bridging the Gap between Graph Pre-training and Inductive Fine-tuning From Spectral Perspective. | Yuchen Yan, Peiyan Zhang, Zheng Fang, Qingqing Long |
| 2022 | WWW | Polarized Graph Neural Networks. | Zheng Fang, Lingjun Xu, Guojie Song, Qingqing Long, Yingxue Zhang |
| 2022 | SIGIR | Joint Optimization of Ad Ranking and Creative Selection. | Kaiyi Lin, Xiang Zhang, Feng Li, Pengjie Wang, Qingqing Long, Hongbo Deng, Jian Xu, Bo Zheng |
| 2021 | ICASSP | Fast Hierarchy Preserving Graph Embedding via Subspace Constraints. | Xu Chen, Lun Du, Mengyuan Chen, Yun Wang, Qingqing Long, Kunqing Xie |
| 2021 | KDD | Spatial-Temporal Graph ODE Networks for Traffic Flow Forecasting. | Zheng Fang, Qingqing Long, Guojie Song, Kunqing Xie |
| 2021 | KDD | HGK-GNN: Heterogeneous Graph Kernel based Graph Neural Networks. | Qingqing Long, Lingjun Xu, Zheng Fang, Guojie Song |
| 2021 | WWW | Theoretically Improving Graph Neural Networks via Anonymous Walk Graph Kernels. | Qingqing Long, Yilun Jin, Yi Wu, Guojie Song |
| 2021 | SIGIR | Explicit Semantic Cross Feature Learning via Pre-trained Graph Neural Networks for CTR Prediction. | Feng Li, Bencheng Yan, Qingqing Long, Pengjie Wang, Wei Lin, Jian Xu, Bo Zheng |
| 2020 | ICDM | Learning Node Representations from Noisy Graph Structures. | Junshan Wang, Ziyao Li, Qingqing Long, Weiyu Zhang, Guojie Song, Chuan Shi |
| 2020 | KDD | Graph Structural-topic Neural Network. | Qingqing Long, Yilun Jin, Guojie Song, Yi Li, Wei Lin |
| 2019 | CIKM | Hierarchical Community Structure Preserving Network Embedding: A Subspace Approach. | Qingqing Long, Yiming Wang, Lun Du, Guojie Song, Yilun Jin, Wei Lin |