Meng Xiao* PhD, Assistant Researcher Bigdata Lab Computer Network Information Center Chinese Academy of Sciences Email: shaow@cnic.cn     xiaomeng7890@gmail.com Address: No.2 Dongsheng South St, Beijing, P.R China, 100190 [GitHub] [Google Scholar] [DBLP] [WeChat] [ORCID]

About Me:

Meng Xiao received his PhD in June 2023 and is currently a Assistant Research Scientist (postdoctoral fellow) working in the Computer Network Information Center, Chinese Academy of Sciences, mentored by Prof. Yuanchun Zhou. He has published more than 20 papers prolifically on top-tier venues such as IEEE TKDE, ACM TKDD, AIJ, NeurIPS, IJCAI, IEEE ICDM, etc. He also serve as a PC member or reviewer on many premier international conferences and journals. Meng Xiao is honored to have been advised by Prof. Yuanchun Zhou, Prof. Yi Du, Prof. Yanjie Fu, and Dr. Min Wu, and is delighted to collaborate with young scholars such as Prof. Ziyue Qiao and Prof. Dongjie Wang.

He has been honored with the Special Prize of the Chinese Academy of Sciences President Scholarship (the first awardee of CNIC,CAS) in 2023, and the Young Elite Scientists Sponsorship Program (2024-2026) by BAST.

Research Interests: Data-centric AI, AI4LifeScience, and Scientific Data Mining.

News:

1. [2024.11] Invited to give a talk as distinguished students for UCAS at Graduate Academic Forum of University of Chinese Academy of Sciences - Computing·Software·Networking!
2. [2024.10] One paper has been accepted by the BIBM 2024!
3. [2024.10] Our research proposal about Scientific Data Mining has been granted by NSFC!
4. [2024.10] One paper has been accepted by the ICDM 2024!
5. [2024.10] Invited as the Area Chair of AISTAT 2025!
6. [2024.10] One paper has been accepted by the NeurIPS 2024!
7. [2024.10] We won the third place award of the Data Element Application Innovation Competition hosted by the China Information Industry Association!
8. [2024.09] One of my co-advised Ph.D. student (Tianqi He) has passed the test and entered the School of Frontier Interdisciplinary Sciences, University of Chinese Academy of Sciences!
9. [2024.09] Invited to give a talk at Beijing AI4Security Seminar about Scientific Data Optimization.
10. [2024.09] Invited to give a talk at 9th Scientific Data Conference about Scientific Data Optimization.
11. [2024.09] I have been invited as the reviewer of Current Medicinal Chemistry about Omics Data Analysis.
12. [2024.09] Invited as Guest Editors about "Distributed Deep Learning Model System and Applications" on Electronics (IF=2.6)!
13. [2024.09] Check our new survey about Graph Prompt Learning at here!
14. [2024.08] Our workshop proposal about Data-Centric AI has been accepted by IEEE ICDM 2024!
15. [2024.07] Two of my papers has been accepted by the 33rd ACM CIKM !
16. [2024.07] Our workshop proposal about Data-Centric AI has been accepted by 33rd ACM CIKM!
17. [2024.07] Two of my papers has been accepted by the Briefings in Bioinformatics (BIB) and Scientometrics (SCIM)!
18. [2024.06] Recently, my last paper in PhD period has been accepted by ACM Transactions on Knowledge Discovery from Data (ACM TKDD) !
19. [2024.05] I have been invited as the PC member of NeurIPS 2024 and the reviewer of BMC Bioinformatics.
20. [2024.04] Four of my papers have been accepted by COLING 2024, DASFAA 2024 (Long Paper), Pattern Recognition, and IJCAI 2024!
21. [2024.01] One paper has been accepted by the Artificial Intelligence Journal! I am proud of my co-author, Hao Dong!
22. [2023.12] I have been invited as the PC member of SIGKDD 2024, ACM MM, IEEE ICDM, and DASFAA 2024, and the reviewer of ACM TKDD.
23. [2023.12] I have been granted the Postdoctoral Fellowship Program of CPSF!
24. [2023.12] One paper has been accepted by ACM TKDD! Special thanks to my co-author Dongjie Wang!
25. [2023.11] 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!
26. [2023.09] One paper from my advised student has been accepted by ICDM 2023 (Short Paper)!
27. [2023.09] One paper has been accepted by NeurIPS 2023 (Spotlight)! Special thanks to my co-author Dongjie Wang!
28. [2023.09] I have been invited as the PC member of SIAM Data Mining 2024, IJCNN 2024, Neural Networks, and ICLR 2024.
29. [2023.09] One paper has been accepted by ICDM 2023 (Regular Paper, 9.37%)! Special thanks to my co-author Dongjie Wang!
30. [2023.08] I have been invited as the PC member of The Web Conf 2024.
31. [2023.07] I have been invited as the PC member of CIKM 2023.
32. [2023.07] I have been invited as Web Co-Chairs of the ICDM: 1st DCAI (Data-Centric AI) workshop.
33. [2023.06] I have been awarded the Special Prize (80 PhD candidates each year) of the President Scholarship!
34. [2023.06] I have received my PhD degree from UCAS!
35. [2023.05] I have been nominated for the President Scholarship in 1st place (1%, within CNIC).
36. [2023.04] I have been invited as the reviewer of Information Processing & Management.
37. [2023.04] One paper has been accepted by IJCAI 2023! Congratulations to my co-author Ziyue Qiao!
38. [2023.02] One paper has been accepted by IEEE Transactions on Knowledge and Data Engineering (IEEE TKDE)! Special thanks to my co-author Ziyue Qiao!
39. [2023.02] I have been invited as the Technical PC member of IJCNN 2023!
40. [2022.12] Two of my papers have been accepted by SIAM Data Mining 2023!
41. [2022.12] I have been invited as the PC member of KDD 2023. I will be able to contribute more to the data mining community!

MORE

Selected Publications (§ denotes the co-first author and * denotes the corresponding author) [Full List]

2024
TKDD 2024		Traceable Group-Wise Self-Optimizing Feature Transformation Learning: A Dual Optimization Perspective Meng Xiao, Dongjie Wang, Min Wu, Kunpeng Liu, Hui Xiong, and Yuanchun Zhou, Yanjie Fu. ACM Transactions on Knowledge Discovery from Data, 2024 [Paper] [Project]
TKDD 2024		Interdisciplinary Fairness in Imbalanced Research Proposal Topic Inference: A Hierarchical Transformer-based Method with Selective Interpolation Meng Xiao, Min Wu, Ziyue Qiao, Yanjie Fu, Zhiyuan Ning, Yi Du, Yuanchun Zhou. ACM Transactions on Knowledge Discovery from Data, 2024 [Paper] [Project]
ICDM 2024		SCReader: Prompting Large Language Models to Interpret scRNA-seq Data Cong Li, Qingqing Long, Yuanchun Zhou, Meng Xiao*. 23th International Conference on DataMining, 2024 [Paper] [Project]
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*. 33rd ACM International Conference on Information and Knowledge Management, 2024 [Paper] [Project]
CIKM 2024		MOAT: Graph Prompting for 3D Molecular Graphs Qingqing Long, Yuchen Yan, Wentao Cui, Zhihong Zhu, Wei Ju, Zhihong Zhu, Yuanchun Zhou, Xuezhi Wang, Meng Xiao*. 33rd ACM International Conference on Information and Knowledge Management, 2024 [Paper] [Project]
BIBM 2024		GENESUM: Large Language Model-based Gene Summary Extraction Zhijian Chen, Chuan Hu, Min Wu, Qingqing Long, Xuezhi Wang, Yuanchun Zhou Meng Xiao*. International Conference on Bioinformatics and Biomedicine (BIBM), 2024 [Paper] [Project]
LREC-COLING 2024		DP-CRE: Continual Relation Extraction via Decoupled Contrastive Learning and Memory Structure Preservation Mengyi Huang§, Meng Xiao§, Ludi Wang, Yi Du. LREC-COLING, 2024 [Paper] [Project]
2023
TKDE 2023		Hierarchical Interdisciplinary Topic Detection Model for Research Proposal Classification Meng Xiao, Ziyue Qiao, Yanjie Fu, Hao Dong, Yi Du, Pengyang Wang, Hui Xiong, and Yuanchun Zhou. IEEE Transactions on Knowledge and Data Engineering, 2023 [Paper] [Project]
ICDM 2023		Beyond Discrete Selection: Continuous Embedding Space Optimization for Generative Feature Selection Meng Xiao, Dongjie Wang, Min Wu, Pengfei Wang, Yuanchun Zhou, Yanjie Fu. 23rd IEEE International Conference on Data Mining, 2023 [Paper] [Project]
SDM 2023		Traceable Automatic Feature Transformation via Cascading Actor-Critic Agents Meng Xiao, Dongjie Wang, Min Wu, Ziyue Qiao, Pengfei Wang, Kunpeng Liu, Yuanchun Zhou, and Yanjie Fu. 2023 SIAM International Conference on Data Mining, 2023 [Paper] [Project]
ICDM 2023		Resolving the Imbalance Issue in Hierarchical Disciplinary Topic Inference via LLM-based Data Augmentation Xunxin Cai, Meng Xiao*, Zhiyuan Ning, and Yuanchun Zhou. 23rd IEEE International Conference on Data Mining, 2023 [Paper] [Project]
NeurIPS 2023		Reinforcement-Enhanced Autoregressive Feature Transformation: Gradient-steered Search in Continuous Space for Postfix Expressions Dongjie Wang§, Meng Xiao§, Min Wu, Pengfei Wang, Yuanchun Zhou, Yanjie Fu. NeurIPS 2023 [Spotlight Paper], 2023 [Paper] [Project]
SDM 2023		NEEDED: Introducing Hierarchical Transformer to Eye Diseases Diagnosis Xu Ye§, Meng Xiao§, Zhiyuan Ning, Weiwei Dai, Wenjuan Cui, Yi Du, Yuanchun Zhou. 2023 SIAM International Conference on Data Mining, 2023 [Paper] [Project]
IJCAI 2023		Semi-supervised Domain Adaptation in Graph Transfer Learning Ziyue Qiao§, Luo Xiao§, Meng Xiao§, Hao Dong, Yuanchun Zhou, Hui Xiong. The 32nd International Joint Conference on Artificial Intelligence, 2023 [Paper] [Project]
2021
ICDM 2021		Expert Knowledge Guided Length-Variant Hierarchical Label Generation for Proposal Classification Meng Xiao, Ziyue Qiao, Yanjie Fu, Yi Du, Pengyang Wang, and Yuanchun Zhou. 2021 IEEE International Conference on Data Mining, 2021 [Paper] [Project]

Awards:

Academic Service:

(Co-) Advised Students:

Main Lead / Participant Projects:

Footnote: