Meng Xiao (肖濛)* PhD, Assistant Researcher (助理研究员) 1Computer Network Information Center (计算机网络信息中心)   Chinese Academy of Sciences (中国科学院) 2DUKE-NUS Medical School   National University of Singapore (新加坡国立大学) Email: 1shaow.at.cnic.cn     2meng.xiao.at.nus.edu.sg Address: 8 College Road, Singapore, 169857 [GitHub] [Google Scholar] [DBLP] [WeChat] [ORCID]

About Me:

Meng Xiao received joint doctoral training from the University of Chinese Academy of Sciences and Institute for Infocomm Research, Agency for Science, Technology and Research (ASTAR), Singapore in June 2023. Currently, he is a research fellow at DUKE-NUS Medical School, National University of Singapore. He is also an assistant researcher (postdoctoral fellow) at the Computer Network Information Center, Chinese Academy of Sciences from 2023.

Meng Xiao has published over 30 papers, including NeurIPS, ICLR, ICML, IEEE TKDE, IEEE ICDE, ACM SIGKDD, AIJ, IJCAI, and ACM TKDD. He actively contributes to the academic community as a (s)PC member or reviewer on many premier international conferences and journals. Meng is deeply grateful for the guidance of his advisors, Prof. Yuanchun Zhou, Prof. Yi Du, Prof. Yanjie Fu, Dr. Min Wu, and Prof. Jinmiao Chen. He is also enthusiastic about collaborating with talented 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. [2025.05] Three papers has been accpeted by ICML 2025, BMC Bioinformatics, and SIGKDD 2025!
2. [2025.04] Five papers have been accpeted by ICLR 2025, DASFAA 2025, IEEE ICDE 2025, Advanced Science, and ICMR 2025!
3. [2025.03] Check our new survey about Agentic AI !
4. [2025.01] Check our new survey about DCAI !
5. [2025.01] Norminated as Excellent Reviewer (Top-20%) for ACM SIGKDD!
6. [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!
7. [2024.10] One paper has been accepted by the BIBM 2024!
8. [2024.10] Our research proposal about Scientific Data Mining has been granted by Natural Science Foundation of China!
9. [2024.10] One paper has been accepted by the ICDM 2024!
10. [2024.10] Invited as the Area Chair of AISTAT 2025!
11. [2024.10] One paper has been accepted by the NeurIPS 2024!
12. [2024.10] We won the third place award of the Data Element Application Innovation Competition hosted by the China Information Industry Association!
13. [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!
14. [2024.09] Invited to give a talk at Beijing AI4Security Seminar about Scientific Data Optimization.
15. [2024.09] Invited to give a talk at 9th Scientific Data Conference about Scientific Data Optimization.
16. [2024.09] I have been invited as the reviewer of Current Medicinal Chemistry about Omics Data Analysis.
17. [2024.09] Invited as Guest Editors about "Distributed Deep Learning Model System and Applications" on Electronics (IF=2.6)!
18. [2024.08] Our workshop proposal about Data-Centric AI has been accepted by IEEE ICDM 2024!
19. [2024.07] Two of my papers has been accepted by the 33rd ACM CIKM !
20. [2024.07] Our workshop proposal about Data-Centric AI has been accepted by 33rd ACM CIKM!
21. [2024.07] Two of my papers has been accepted by the Briefings in Bioinformatics (BIB) and Scientometrics (SCIM)!
22. [2024.06] Recently, my last paper in PhD period has been accepted by ACM Transactions on Knowledge Discovery from Data (ACM TKDD) !
23. [2024.05] I have been invited as the PC member of NeurIPS 2024 and the reviewer of BMC Bioinformatics.
24. [2024.04] Four of my papers have been accepted by COLING 2024, DASFAA 2024 (Long Paper), Pattern Recognition, and IJCAI 2024!
25. [2024.01] One paper has been accepted by the Artificial Intelligence Journal! I am proud of my co-author, Hao Dong!
26. [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.
27. [2023.12] One paper has been accepted by ACM TKDD! Special thanks to my co-author Dongjie Wang!
28. [2023.09] One paper from my advised student has been accepted by ICDM 2023 (Short Paper)!
29. [2023.09] One paper has been accepted by NeurIPS 2023 (Spotlight)! Special thanks to my co-author Dongjie Wang!
30. [2023.09] I have been invited as the PC member of SIAM Data Mining 2024, IJCNN 2024, Neural Networks, and ICLR 2024.
31. [2023.09] One paper has been accepted by ICDM 2023 (Regular Paper, 9.37%)! Special thanks to my co-author Dongjie Wang!
32. [2023.08] I have been invited as the PC member of The Web Conf 2024.
33. [2023.07] I have been invited as the PC member of CIKM 2023.
34. [2023.07] I have been invited as Web Co-Chairs of the ICDM: 1st DCAI (Data-Centric AI) workshop.
35. [2023.06] I have been awarded the Special Prize (80 PhD candidates each year) of the President Scholarship!
36. [2023.06] I have received my PhD degree from UCAS!
37. [2023.05] I have been nominated for the President Scholarship in 1st place (1%, within CNIC).
38. [2023.04] I have been invited as the reviewer of Information Processing & Management.
39. [2023.04] One paper has been accepted by IJCAI 2023! Congratulations to my co-author Ziyue Qiao!
40. [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!
41. [2023.02] I have been invited as the Technical PC member of IJCNN 2023!
42. [2022.12] Two of my papers have been accepted by SIAM Data Mining 2023!
43. [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

Contributed Group Projects (* denotes the project leader)

SIGKDD 2025		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* SciHorizon Consortism, Computer Network Information Center, CAS ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2025 [Paper] [Project]
Advanced Sciences 2025		scCompass: An Integrated Multi-Species scRNA-seq Database for AI-Ready Pengfei Wang, Wenhao Liu, Jiajia Wang, Yana Liu, Pengjiang Li, Ping Xu, Wentao Cui, Ran Zhang, Qingqing Long, Zhilong Hu, Chen Fang, Jingxi Dong, Chunyang Zhang, Yan Chen, Chengrui Wang, Guole Liu, Hanyu Xie, Yiyang Zhang, Meng Xiao, Shubai Chen, Haiping Jiang, The X-Compass Consortium, Yiqiang Chen, Ge Yang, Shihua Zhang, Zhen Meng, Xuezhi Wang, Guihai Feng, Xin Li, Yuanchun Zhou* The X-Compass Consortium, CAS Advanced Sciences, 2025 [Paper] [Project]
Cell Research 2024		GeneCompass: Deciphering Universal Gene Regulatory Mechanisms with a Knowledge-informed Cross-species Foundation Model Xiaodong Yang, Guole Liu, Guihai Feng, Dechao Bu, Pengfei Wang, Jie Jiang, Shubai Chen, Qinmeng Yang, Hefan Miao, Yiyang Zhang, Zhenpeng Man, Zhongming Liang, Zichen Wang, Yaning Li, Zheng Li, Yana Liu, Yao Tian, Wenhao Liu, Cong Li, Ao Li, Jingxi Dong, Zhilong Hu, Chen Fang, Lina Cui, Zixu Deng, Haiping Jiang, Wentao Cui, Jiahao Zhang, Zhaohui Yang, Handong Li, Xingjian He, Liqun Zhong, Jiaheng Zhou, Zijian Wang, Qingqing Long, Ping Xu, Hongmei Wang, Zhen Meng, Xuezhi Wang, Yangang Wang, Yong Wang, Shihua Zhang, Jingtao Guo, Yi Zhao, Yuanchun Zhou, Fei Li, Jing Liu, Yiqiang Chen, Ge Yang, Xin Li* The X-Compass Consortium, CAS Cell Research, 2024 [Paper] [Project]

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

2025
ICDE 2025		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* The 41st IEEE International Conference on Data Engineering, 2025 [Paper] [Project]
ICML 2025		GCAL: Adapting Graph Models to Evolving Domain Shifts Ziyue Qiao, Qianyi Cai, Hao Dong, Jiawei Gu, Pengyang Wang, Meng Xiao*, Xiao Luo, Hui Xiong Forty-Second International Conference on Machine Learning, 2025 [Paper] [Project]
DASFAA 2025		Knowledge Hierarchy Guided Biological-Medical Dataset Distillation for Domain LLM Training Xunxin Cai, Chengrui Wang, Qingqing Long, Yuanchun Zhou, Meng Xiao* The 30th International Conference on Database Systems for Advanced Applications, 2025 [Paper] [Project]
ICMR 2025		COMAE: COMprehensive Attribute Exploration for Zero-shot Hashing Yuqi Li, Qingqing Long, Yihang Zhou, Ran Zhang, Zhiyuan Ning, Zhihong Zhu, Yuanchun Zhou, Xuezhi Wang, and Meng Xiao* The 15th ACM International Conference on Multimedia Retrieval, 2025 [Paper] [Project]
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: