About Me

I received my PhD in June 2023 and am currently a Special Research Assistant (postdoctoral fellow) working in the Computer Network Information Center, Chinese Academy of Sciences, mentored by Prof. Yuanchun Zhou. I have published several papers prolifically on top-tier venues such as IEEE TKDE, ACM TKDD, AIJ, NeurIPS, IJCAI, IEEE ICDM, etc. I also serve as a PC member or reviewer on many premier international conferences and journals. My research topics include Data-centric AI, AI4LifeScience, and Scientific Data Mining. I have been honored with the Special Prize of the Chinese Academy of Sciences President Scholarship in 2023. 

I want to thank my classmates and friends. Thank you for helping me get through the long night.

Some News

[2024-06-03] Recently, my last paper in PhD period has been accepted by ACM TKDD!
[2024-05-22] I have been elected as the PC member of NeurIPS 2024 and the reviewer of BMC Bioinformatics.
[2024-04-28] Recently, my papers has been accepted by COLING-2024, DASFAA-2024 (Long Paper), Pattern Recognition, and IJCAI24!
[2024-01-23] One paper has been accepted by the Artificial Intelligence Journal! I am proud of my co-author, Hao Dong!
[2023-12-19] I have been elected as the PC member of SIGKDD 2024, ACM MM, and DASFAA 2024, the reviewer of ACM TKDD.
[2023-12-19] Recently, I have been granted the Postdoctoral Fellowship Program of CPSF!
[2023-12-16] Recently, one paper has been accepted by ACM TKDD! Special thanks to my co-author Dongjie Wang!
[2023-11-17] Recently,  I have been granted the China Postdoctoral Science Foundation Funded Project, the Young Elite Scientists Sponsorship Program by BAST, and the Special Research Assistant Funded Project of the Chinese Academy of Sciences!
[2023-09-28] One paper from my advised student has been accepted by ICDM-23 (Short Paper)!
[2023-09-22] One paper has been accepted by NeurIPS 2023 (Spotlight)! Special thanks to my co-author Dongjie Wang!
[2023-09-11]  I have been elected as the PC member of SIAM DataMining 2024, IJCNN 2024, Neural Networks, and ICLR 2024.
[2023-09-03] One paper has been accepted by ICDM-23 (Regular Paper, 9.37%)! Special thanks to my co-author Dongjie Wang!
[2023-08-26] I have been elected as the PC member of The Web Conf 2024.
[2023-07-15] I have been elected as the PC member of CIKM 2023.
[2023-07-13] I have been invited as Web Co-Chairs of the ICDM: DCAI (Data-Centric AI) workshop.
[2023-06-28] I have been awarded the Special Prize (Only 1% among UCAS, USTC) of President Scholarship for Postgraduate Students!
[2023-06-10] I have received my PhD degree from UCAS!
[2023-05-07] I have been nominated for the President Scholarship in 1st place (1%, within CNIC).
[2023-04-21] I have been selected as the reviewer of  Information Processing & Management.
[2023-04-20] One paper has been accepted by IJCAI-23! Congratulations to my co-author Ziyue Qiao!
[2023-02-21] One paper has been accepted by IEEE TKDE! Special thanks to my co-author Ziyue Qiao!
[2023-02-09] I have been elected as the Technical PC member of IJCNN 2023!
[2022-12-27] Two of my papers have been accepted by SIAM Datamining 2023!
[2022-12-23] I have been elected as the PC member of KDD 2023. I will be able to contribute more to the data mining community!

Publication Info

Data-Centric AI

• Meng Xiao, Dongjie Wang, Min Wu, Kunpeng Liu, Hui Xiong, and Yuanchun Zhou*, Yanjie Fu*. “Traceable Group-Wise Self-Optimizing Feature Transformation Learning: A Dual Optimization Perspective”. ACM Transactions on Knowledge Discovery from Data, https://doi.org/10.1145/3638059, 2024. (TKDD) [paper]

• Zhiyuan Ning, Chunlin Tian, Meng Xiao, Wei Fan, Pengyang Wang, Li Li, Pengfei Wang, Yuanchun Zhou. “FedGCS: A Generative Framework for Efficient Client Selection in Federated Learning via Gradient-based Optimization”. The 32nd International Joint Conference on Artificial Intelligence, 2024. (IJCAI-24). 

• Meng Xiao, Dongjie Wang, Min Wu, Pengfei Wang, Yuanchun Zhou, Yanjie Fu*. “Beyond Discrete Selection: Continuous Embedding Space Optimization for Generative Feature Selection”, 23rd IEEE International Conference on Data Mining. (ICDM), doi:10.1109/ICDM58522.2023.00078. 2023 

• Meng Xiao, Dongjie Wang, Min Wu, Ziyue Qiao, Pengfei Wang, Kunpeng Liu, Yuanchun Zhou, and Yanjie Fu*. “Traceable Automatic Feature Transformation via Cascading Actor-Critic Agents”,  2023 SIAM International Conference on Data Mining. (SDM). 2023 [paper] [code] 

• Dongjie Wang^, Meng Xiao^, Min Wu, Pengfei Wang, Yuanchun Zhou, Yanjie Fu*. “Reinforcement-Enhanced Autoregressive Feature Transformation: Gradient-steered Search in Continuous Space for Postfix Expressions”, NeurIPS 2023 [Spotlight]. (NIPS). 2023

AI4Science

• Ping Xu, Zhiyuan Ning, Meng Xiao, Guihai Feng, Xin Li, Yuanchun Zhou, Pengfei Wang. “scCDCG: Efficient Deep Structural Clustering for single-cell RNA-seq via Deep Cut-informed Graph Embedding”. 29th International Conference on Database Systems for Advanced Applications, 2o24. (DASFAA)

• Xu Ye^, Meng Xiao^, Zhiyuan Ning, Weiwei Dai, Wenjuan Cui, Yi Du*, and Yuanchun Zhou. “NEEDED: Introducing Hierarchical Transformer to Eye Diseases Diagnosis”, 2023 SIAM International Conference on Data Mining. (SDM). 2023 [paper] [code] 

Scientific Data Mining

• Meng Xiao, Min Wu, Ziyue Qiao, Yanjie Fu, Zhiyuan Ning, Yi Du*, Yuanchun Zhou “Interdisciplinary Fairness in Imbalanced Research Proposal Topic Inference: A Hierarchical Transformer-based Method with Selective Interpolation.” ACM Transactions on Knowledge Discovery from Data, 2024. (TKDD)

• Meng Xiao, Ziyue Qiao, Yanjie Fu, Hao Dong, Yi Du*, Pengyang Wang, Hui Xiong, and Yuanchun Zhou*. “Hierarchical Interdisciplinary Topic Detection Model for Research Proposal Classification.” IEEE Transactions on Knowledge and Data Engineering, doi:10.1109/TKDE.2023.3248608, 2023. (TKDE) [paper]

• Xunxin Cai, Meng Xiao*, Zhiyuan Ning, and Yuanchun Zhou, "Resolving the Imbalance Issue in Hierarchical Disciplinary Topic Inference via LLM-based Data Augmentation". 23rd IEEE International Conference on Data Mining, doi:10.1109/ICDM58522.2023.00107. (ICDM). 2023 [paper]

• Meng Xiao^, Ziyue Qiao^, Yanjie Fu, Yi Du, Pengyang Wang, and Yuanchun Zhou*. “Expert Knowledge Guided Length-Variant Hierarchical Label Generation for Proposal Classification”, 2021 IEEE International Conference on Data Mining. (ICDM). 2021  [paper] [report]

Knowledge Graph and Graph Neural Network

• Ziyue Qiao, Meng Xiao, Weiyu Guo, Xiao Luo, Hui Xiong, “Information Filtering and Interpolating for Semi-supervised Graph Domain Adaptation”. Pattern Recognition. 2024. (PR)

• Mengyi Huang^, Meng Xiao^, Ludi Wang, Yi Du*. “DP-CRE: Continual Relation Extraction via Decoupled Contrastive Learning and Memory Structure Preservation”. LREC-COLING 2024, 2024. (LREC-COLING)

• Hao Dong, Pengyang Wang, Meng Xiao, Zhiyuan Ning, Pengfei Wang, Yuanchun Zhou. “Temporal Inductive Path Neural Network for Temporal Knowledge Graph Reasoning”. Artificial Intelligence Journal, 2024. (AIJ) [paper] 

• Ziyue Qiao^, Luo Xiao^, Meng Xiao^, Hao Dong, Yuanchun Zhou, Hui Xiong*. “Semi-supervised Domain Adaptation in Graph Transfer Learning”,  The 32nd International Joint Conference on Artificial Intelligence. (IJCAI-23). 2023

• Ziyue Qiao, Yanjie Fu, Pengyang Wang, Meng Xiao, Zhiyuan Ning, Pengfei Wang, Yi Du*, and Yuanchun Zhou. “RPT: Toward Transferable Model on Heterogeneous Researcher Data via Pre-Training.” In IEEE Transactions on Big Data 2022. (TBD) [paper]

• Yuanchun Zhou, Weijun Wang, Ziyue Qiao, Meng Xiao, and Yi Du*. “A survey on the construction methods and applications of sci-tech big data knowledge graph.” Scientia Sinica Informationis 50, no. 7 (2020): 957-987. [paper]

Human Mobility

• Chao Yang, Meng Xiao, Xuan Ding, Wenwen Tian, Yong Zhai, Jie Chen, Lei Liu, and Xinyue Ye*. Exploring human mobility patterns using geo-tagged social media data at the group level. Journal of Spatial Science, 2019, 64(2): 221-238. [paper]

Special thanks to all Co-first Authors (marked by ^) and Corresponding Authors (marked by *)

Upcomming Events 

Acknowledgment & Project Info

1. Postdoctoral Fellowship Program, China Postdoctoral Science Foundation. (PI, 2024-2026, GZC20232736)

2. the Special Research Assistant Funded Project of the Chinese Academy of Sciences. Chinese Academy of Sciences. (PI, 2024-2026)

3. Young Elite Scientists Sponsorship Program by Beijing Association for Science and Technology. (PI, 2024-2026)

4. China Postdoctoral Science Foundation Funded Project. (PI, 2024-2026, 2023M743565)

5. Mining software for photoelectric catalytic materials based on domain knowledge graph. Ministry of Science and Technology of the People´s Republic of China. National Key Research and Development Program for Young Scientists. (project participant, 2023-2025, 2022YFF0712200)

6. Building of Domain Specific Big Data Knowledge Graph. Natural Science Foundation of China. Key Program. (project participant, 2019-2023, No.61836013)

7. A study of key technologies for visual analysis of large-scale space-time data correlation. Beijing Municipal Science & Technology Commission. Beijing Natural Science Foundation projects. (project participant, 2021-2023, No. 4212030)

8. Design and Research of Open Sharing Policy and Platform of NSFC. Natural Science Foundation of China. Special Project. (project participant, 2020-2021, L1924075)

9. Research and Application of New Innovation Method System based on CrowdIntelligent. Ministry of Science and Technology of the People´s Republic of China. Innovation Method Special Fund (project participant, 2020-2021, No.2019IM020100)

10. Eye health knowledge graph construction and intelligent application. Chinese Academy of Sciences. STS project. (project participant, 2021-2022, KFJ-STS-QYZD-2021-11-001)

Academic Services

 From my perspective, Data Mining and Artificial Intelligence stand as significantly practical research fields. My students and I aspire to delve deeper into these domains, tackling a broader range of intriguing problems that the real world presents. Through our collective efforts, I envision us not only uncovering novel insights but also contributing meaningful solutions to challenges faced by society today.