Biography
She is currently an Assistant Professor with the College of Computer Science and Software Engineering, Shenzhen University, China. Before joining Shenzhen University, she was a Senior Researcher with Tencent Technology Co., Ltd. from 2018 to 2021. She received her Ph.D degree in computer science from University of Technology Sydney (UTS), Australia (2018), supervised by Prof. Chengqi Zhang, A.P. Guodong Long and Prof. Peng Zhang, and got her master’s degree from University of Chinese Academy of Science (UCAS), Beijing, China, supervised by Prof. Yingjie Tian. During September 2017 to March 2018, She was fortunate to visit Prof. Wei Wang with Department of Computer Science at University of California, Los Angeles (UCLA).In the past few years, she has been recognized as Overseas High-Caliber Personnel (深圳市海外高层次人才), High-level Talent in Nanshan District of Shenzhen (南山区领航人才).
Her research interests focus on graph learning, natural language processing, and open-world machine learning, etc. She have made contributions to advance graph machine learning methods for solving hard open-world AI problems for real-life applications, including node classification, question answering, anomaly detection, recommender systems and time series clustering. She has published more than 40 research papers in top journals and conferences, including TPAMI, TKDE, TCYB, NeurIPS, AAAI, IJCAI, CVPR, WWW, ACM MM, etc., and received several research funds Youth Program of National Natural Science Foundation and General Program of Natural Science Foundation of Guangdong Province.
Interests
- Graph Learning: Graph out-of-distribution detection and generalization, Grpah open-set learning, Graph robust learning;
- NLP: LLMs, Question Answering, Reasoning.
News
- Sep, 2024: A paper, “EGonc : Energy-based Open-Set Node Classification with substitute Unknowns”, is accepted by NeurIPS, 2024. Congratulations, Zelin!
- Sep, 2024: A paper, “CHAmbi: A New Benchmark on Chinese Ambiguity Challenges for Large Language Models”, is accepted by EMNLP, 2024. Congratulations, Sihan!
- July, 2024: A paper, “Open-world Structured Sequence Learning Via Dense Target Encoding”, is accepted by Information Sciences, 2024. Congratulations, Ziqi!
- July, 2024: A paper, “ReCoS: A Novel Benchmark for Cross-Modal Image-Text Retrieval in Complex Real-Life Scenarios”, is accepted by ACM MM, 2024. Congratulations, Jimeng!
- July, 2024: A paper, “A Payment Transaction Pre-training Model for Fraud Transaction Detection”, is accepted by CIKM, 2024. Congratulations, Wenxi!
- Aug, 2024: I will attend and serve as a session chair in IJCAI 2024 in Jeju Island, South Korea. Hope to see you there.
- May, 2024: A paper, “End-to-end approach of multi-grained embedding of categorical features in tabular data”, is accepted by IPM, 2024. Congratulations, Han Liu!
- May, 2024: A paper, “A fine-grained self-adapting prompt learning approach for few-shot learning with pre-trained language models”, is accepted by KBS, 2024. Congratulations, Xiaojun!
- Apr, 2024: A paper, “CONC: Complex-noise-resistant Open-set Node Classification with Adaptive Noise Detection”, is accepted by IJCAI, 2024. Congratulations, Jiexin!
- May, 2024: A paper, “PH-Net: Semi-Supervised Breast Lesion Segmentation via Patch-wise Hardness”, is accepted by CVPR, 2024. Congratulations, Siyao!
- Dec, 2023: Two papers, “ROGPL: Robust Open-Set Graph Learning via Region-based Prototype Learning” and “Multi-level Cross-modal Alignment for Image Clustering”, are accepted by AAAI 2024. Congratulations, Xiaowei and Liping!
- Dec, 2023: A paper, “Unsupervised multiple choices question answering via universal corpus”, is accepted by ICASSP, 2024. Congratulations, Hao Ge!
Ten Representative Works
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EGonc : Energy-based Open-Set Node Classification with substitute Unknowns.
Qin Zhang, Zelin Shi, Shirui Pan, Junyang Chen, Huisi Wu, Xiaojun Chen*
Annual Conference on Neural Information Processing Systems (NeurIPS). Accepted, 2024.
[PDF] -
Salient subsequence learning for time series clustering
Qin Zhang, jia Wu, Pen Zhang, Guodong Long, Chengqi Zhang*
IEEE transactions on pattern analysis and machine intelligence (TPAMI), 41(9): 2193-2207, 2019.
[PDF] -
ROGPL: Robust Open-Set Graph Learning via Region-based Prototype Learning
Qin Zhang, Xiaowei Li, Jiexin Lu, Liping Qiu, Shirui Pan, Xiaojun Chen, Junyang Chen*
Annual AAAI Conference on Artificial Intelligence. (AAAI), 38(8): 9350-9358, 2024.
[PDF] -
CONC: Complex-noise-resistant Open-set Node Classification with Adaptive Noise Detection
Qin Zhang, Jiexin Lu, Xiaowei Li, Huisi Wu, Shirui Pan, Junyang Chen*
International Joint Conference on Artificial Intelligence (IJCAI), 5481-5489, 2024.
[PDF] -
A Survey for Efficient Open Domain Question Answering
Qin Zhang, Shangsi Chen, Dongkuan Xu, Qingqing Cao, Xiaojun Chen, Trevor Cohn, Meng Fang*
Annual Meeting of the Association for Computational Linguistics (ACL), 14447{14465, 2023.
[PDF] -
G2Pxy: generative open-set node classification on graphs with proxy unknowns
Qin Zhang, Zelin Shi, Xiaolin Zhang, Xiaojun Chen, Philippe Fournier-Viger, Shirui Pan*
International Joint Conference on Artificial Intelligence (IJCAI), 4576-4583, 2023.
[PDF] -
Online Learning from Trapezoidal Data Streams
Qin Zhang, Peng Zhang, Guodong Long, Wei Ding, Chengqi Zhang, Xindong Wu*
IEEE Transaction Knowledge Data Engineering. (TKDE), vol. 28(10), pp. 2709-2723, 2016.
[PDF] -
CHAmbi: A New Benchmark on Chinese Ambiguity Challenges for Large Language Models
Qin Zhang, Sihan Cai, Jiaxu Zhao, Mykola Pechenizkiy, Meng Fang*
Conference on Empirical Methods in Natural Language Processing (EMNLP). Accepted, 2024.
[PDF] -
Joint reasoning with knowledge subgraphs for Multiple Choice Question Answering
Qin Zhang, Shangsi Chen, Meng Fang, Xiaojun Chen*
Information Processing & Management (IPM). 60 (3), 103297, 2023.
[PDF] -
A Dynamic Variational Framework for Open-World Node Classification in Structured Sequences
Qin Zhang, Qincai Li, Xiaojun Chen, Peng Zhang, Shirui Pan, Philippe Fournier- Viger, Joshua Zhexue Huang*
IEEE International Conference on Data Mining (ICDM) ,703-712, 2022.11.
[PDF]
Community Services
- Conference Program Session Chair
- IJCAI session chair (2023, 2024)
- Conference Program Committee/Reviewer
- Annual Conference on Neural Information Processing Systems (NeurIPS) (2024)
- AAAI Conference on Artificial Intelligence (AAAI) (2023, 2024)
- International Joint Conference on Artificial Intelligence (IJCAI) (2023, 2024)
- ACL(2023,2024)
- ICDM (2023,2024)
- EMNLP(2024)
- Journal Reviewer
- TPAMI (2024)
- TNNLS (2023, 2024)
- Pattern Recognition (PR) (2024)
- IPM(2023, 2024)
- KBS(2024)
Teaching
