Associate Professor · CNIC, Chinese Academy of Sciences

Meng Xiao肖濛

Associate Professor @ CNIC, CAS·Data Intelligence for Scientific Innovation Lab
Research Fellow @ Duke-NUS, NUS·Faculty profile
Meng Xiao (肖濛) profile photo
Verified Scholar
1,643
Citations
20
h-index
34
i10-index
40+
Publications

Auto-updated from Google Scholar · Jul 13, 2026

About

Short Bio

Meng Xiao received joint doctoral training at the University of Chinese Academy of Sciences and the Institute for Infocomm Research, A*STAR, Singapore, and earned his Ph.D. in June 2023. He is currently an Associate Professor at the Computer Network Information Center, Chinese Academy of Sciences, and a Joint Research Fellow at Duke-NUS Medical School, National University of Singapore.

Meng has published more than 40 papers in leading venues, including iMeta, The Innovation Life, NeurIPS, ICLR, ICML, IEEE TKDE, IEEE ICDE, ACM SIGKDD, AIJ, and ACM TKDD. He also serves the academic community as an (S)PC member and reviewer for leading conferences and journals.

His research has been supported by a National-level Overseas Talent Program, the Singapore Government, the National Natural Science Foundation of China, the Beijing Natural Science Foundation, the Chinese Academy of Sciences, and the Beijing Association for Science and Technology.

He is a member of CCF, IEEE, ACM, and CAAI.

News

Latest Updates

  • 2026.07

    One paper "Comprehend, Divide, and Conquer: Feature Subspace Exploration via Multi-Agent Hierarchical Reinforcement Learning" accepted by ACM TKDD!

  • 2026.06

    Our platform xCompass is now online — an AI-ready portal for single-cell and gene foundation models.Link

  • 2026.05

    One paper "SciHorizon-GENE: Benchmarking LLM for Life Sciences Inference from Gene Knowledge to Functional Understanding" accepted by ACM SIGKDD 2026!

  • 2026.05

    Our review "Harnessing the Gut Microbiome to Combat Tuberculosis: A Technological and Clinical Review" published in Frontiers in Cellular and Infection Microbiology!

  • 2026.03

    One paper "Towards Data-Centric AI: A Comprehensive Survey of Traditional, Reinforcement, and Generative Approaches for Tabular Data Transformation" accepted by ACM TKDD!

Research

Selected Publications

Surveys & Reviews

ACM TKDD202625 citations

Toward Data-Centric AI: A Comprehensive Survey of Traditional, Reinforcement, and Generative Approaches for Tabular Data Transformation

Dongjie Wang, Yanyong Huang, Wangyang Ying, Haoyue Bai, Nanxu Gong, Xinyuan Wang, Sixun Dong, Tao Zhe, Kunpeng Liu, Meng Xiao, Pengfei Wang, Pengyang Wang, Hui Xiong, Yanjie Fu

Front. Cell. Infect. Microbiol.2026Co-first Author

Harnessing the Gut Microbiome to Combat Tuberculosis: A Technological and Clinical Review

Weiguo Sun, Meng Xiao, Syed Luqman Ali, Chanyuan Jin, Asifullah Khan, Shakirullah Shakirullah, Ruizi Ni, Yajing An, Mingming Zhang, Yuan Tian, Shradha Kaushik, Yuhang Zhang, Wenping Gong

The Innovation Life2026Corresponding Author3 citations

A Comprehensive Survey on Artificial Intelligence for Biomolecule Design

Guang Yang, Jianing Li, Qiong Wang, Lianlian Wu, Zhengshan Chen, Peng-Cheng Zhao, Haoyang Wang, Qinglong Wang, Bing Wen, Chao Song, Wenxin Xu, Xiongfei He, Xiao Zhang, Sophia Tsoka, Siu-Ming Yiu, Fang-Xiang Wu, Meng Xiao, Shirui Pan, Hui Yu, Song He, Xiaoli Li, Xiaochen Bo, Min Wu, Jian-Yu Shi

iMeta2025Co-first Author28 citations

Gut microbiota and tuberculosis

Yanhua Liu, Ling Yang, Maryam Meskini, Anjana Goel, Monique Opperman, Sagar Singh Shyamal, Ajay Manaithiya, Meng Xiao, Ruizi Ni, Yajing An, Mingming Zhang, Yuan Tian, Shuang Zhou, Zhaoyang Ye, Li Zhuang, Linsheng Li, Istuti Saraswat, Ankita Kar, Syed Luqman Ali, Shakir Ullah, Syed Yasir Ali, Shradha Kaushik, Tianmu Tian, Mingyang Jiao, Shujun Wang, Giulia Ghisleni, Alice Armanni, Sara Fumagalli, WenYu Wang, Chao Cao, Miguel Prieto Lage, Marla Carpena Rodriguez, Antonia Bruno, Chanyuan Jin, Hanqing Hu, Yuhang Zhang, Ilse du Preez, Ashok Aspatwar, Lingxia Zhang, Wenping Gong

2026
ACM TKDD2026Corresponding Author2 citations

Comprehend, Divide, and Conquer: Feature Subspace Exploration via Multi-Agent Hierarchical Reinforcement Learning

Weiliang Zhang, Xiaohan Huang, Yi Du, Ziyue Qiao, Qingqing Long, Zhen Meng, Yuanchun Zhou, Meng Xiao

ACM SIGKDD2026Corresponding Author1 citations

SciHorizon-GENE: Benchmarking LLM for Life Sciences Inference from Gene Knowledge to Functional Understanding

Xiaohan Huang, Meng Xiao, Chuan Qin, Qingqing Long, Jinmiao Chen, Yuanchun Zhou, Hengshu Zhu

DASFAA2026Corresponding Author

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
IEEE Transactions on Neural Networks and Learning Systems2025Corresponding Author

Adapting Graph Models via Target Integrity Assessment and Source Distribution Hypothesis

Ziyue Qiao, Xiaomin Yu, Weiyu Guo, Xiao Luo, Meng Xiao, Hui Xiong

IEEE Transactions on Computational Biology and Bioinformatics2025First Author14 citations

Knowledge-Guided Gene Panel Selection for Label-Free Single-Cell RNA-Seq Data: A Reinforcement Learning Perspective

Meng Xiao, Weiliang Zhang, Xiaohan Huang, Hengshu Zhu, Min Wu, Xiaoli Li, Yuanchun Zhou

ACM SIGKDD202527 citations

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

Advanced Sciences2025

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

IEEE ICDE2025Corresponding Author8 citations

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

Journal of Computer Research and Development2025First Author

Reinforcement Learning-based Feature Generation Algorithm for Scientific Data

Meng Xiao, Junfeng Zhou, Yuanchun Zhou

ICML2025Corresponding Author13 citations

GCAL: Adapting Graph Models to Evolving Domain Shifts

Ziyue Qiao, Qianyi Cai, Hao Dong, Jiawei Gu, Pengyang Wang, Meng Xiao, Xiao Luo, Hui Xiong

DASFAA2025Corresponding Author8 citations

Knowledge Hierarchy Guided Biological-Medical Dataset Distillation for Domain LLM Training

Xunxin Cai, Chengrui Wang, Qingqing Long, Yuanchun Zhou, Meng Xiao

ACM ICMR2025Corresponding Author39 citations

COMAE: COMprehensive Attribute Exploration for Zero-shot Hashing

Yuqi Li, Qingqing Long, Yihang Zhou, Ran Zhang, Zhiyuan Ning, Zhihong Zhu, Yuanchun Zhou, Xuezhi Wang, Meng Xiao

2024
Cell Research2024166 citations

GeneCompass: Deciphering Universal Gene Regulatory Mechanisms with a Knowledge-informed Cross-species Foundation Model

Xiaodong Yang, Guole Liu, Guihai Feng, Dechao Bu, , Xin Li

ACM TKDD2024First Author47 citations

Traceable Group-Wise Self-Optimizing Feature Transformation Learning: A Dual Optimization Perspective

Meng Xiao, Dongjie Wang, Min Wu, Kunpeng Liu, Hui Xiong, Yuanchun Zhou, Yanjie Fu

ACM TKDD2024First Author17 citations

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

IEEE ICDM2024Corresponding Author9 citations

SCReader: Prompting Large Language Models to Interpret scRNA-seq Data

Cong Li, Qingqing Long, Yuanchun Zhou, Meng Xiao

ACM CIKM2024Corresponding Author33 citations

GUME: Graphs and User Modalities Enhancement for Long-Tail Multimodal Recommendation

Guojiao Lin, Zhen Meng, Dongjie Wang, Qingqing Long, Yuanchun Zhou, Meng Xiao

ACM CIKM2024Corresponding Author9 citations

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

IEEE BIBM2024Corresponding Author4 citations

GENESUM: Large Language Model-based Gene Summary Extraction

Zhijian Chen, Chuan Hu, Min Wu, Qingqing Long, Xuezhi Wang, Yuanchun Zhou, Meng Xiao

LREC-COLING2024Co-first Author16 citations

DP-CRE: Continual Relation Extraction via Decoupled Contrastive Learning and Memory Structure Preservation

Mengyi Huang, Meng Xiao, Ludi Wang, Yi Du

2023
IEEE TKDE2023First Author25 citations

Hierarchical Interdisciplinary Topic Detection Model for Research Proposal Classification

Meng Xiao, Ziyue Qiao, Yanjie Fu, Hao Dong, Yi Du, Pengyang Wang, Hui Xiong, Yuanchun Zhou

IEEE ICDM2023First Author40 citations

Beyond Discrete Selection: Continuous Embedding Space Optimization for Generative Feature Selection

Meng Xiao, Dongjie Wang, Min Wu, Pengfei Wang, Yuanchun Zhou, Yanjie Fu

SIAM SDM2023First Author38 citations

Traceable Automatic Feature Transformation via Cascading Actor-Critic Agents

Meng Xiao, Dongjie Wang, Min Wu, Ziyue Qiao, Pengfei Wang, Kunpeng Liu, Yuanchun Zhou, Yanjie Fu

IEEE ICDM2023Corresponding Author56 citations

Resolving the Imbalance Issue in Hierarchical Disciplinary Topic Inference via LLM-based Data Augmentation

Xunxin Cai, Meng Xiao, Zhiyuan Ning, Yuanchun Zhou

NeurIPS2023Co-first AuthorSpotlight Paper41 citations

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

SIAM SDM2023Co-first Author20 citations

NEEDED: Introducing Hierarchical Transformer to Eye Diseases Diagnosis

Xu Ye, Meng Xiao, Zhiyuan Ning, Weiwei Dai, Wenjuan Cui, Yi Du, Yuanchun Zhou

IJCAI2023Co-first Author60 citations

Semi-supervised Domain Adaptation in Graph Transfer Learning

Ziyue Qiao, Luo Xiao, Meng Xiao, Hao Dong, Yuanchun Zhou, Hui Xiong

2021
IEEE ICDM2021First Author35 citations

Expert Knowledge Guided Length-Variant Hierarchical Label Generation for Proposal Classification

Meng Xiao, Ziyue Qiao, Yanjie Fu, Yi Du, Pengyang Wang, Yuanchun Zhou

Projects

Featured Projects

XCompass — Life Science AI Agent preview

XCompass — Life Science AI Agent

Live 2026

An intelligent search and knowledge-discovery platform for life science researchers, bringing together 6M full-text papers and 20M abstracts with cross-platform web search. Built on an AGI agent architecture, it understands research intent, decomposes complex tasks, and supports literature matching, trend analysis, and personalized recommendations. A platform I lead, now live.

AI AgentLife ScienceKnowledge Discovery
Science Matrix preview

Science Matrix

Live 2026

A platform exploring a human–AI symbiotic scientific world — the home of our AI-for-science agents and tools for the research community.

AI for ScienceHuman–AIPlatform

Background

Experience & Honors

Positions

  1. 2026 — Present

    Associate Professor

    Computer Network Information Center, Chinese Academy of Sciences

    Scientific data mining, Data-centric AI

  2. 2025 — Present

    Research Fellow

    Duke-NUS Medical School, National University of Singapore

    Single-cell data mining, AI for life science

  3. 2023 — 2025

    Assistant Researcher

    Computer Network Information Center, Chinese Academy of Sciences

    Scientific data mining, Data-centric AI

  4. 2019 — 2023

    Ph.D. Student

    University of Chinese Academy of Sciences

    Scientific literature mining, interdisciplinary knowledge graphs

Honors & Awards

CAS President Award — Special Prize

2023

中国科学院院长奖学金特别奖 · the highest award for CAS graduate students

Young Talent Support Project, BAST

2024

北京市科协青年人才托举工程 · batch of 2024–2026

Ph.D., University of Chinese Academy of Sciences

2023

Joint training with Institute for Infocomm Research, A*STAR, Singapore

Contact

Get in Touch

Contact

Computer Network Information Center, CAS
Duke-NUS Medical School, NUS

I typically respond within 2–3 business days. For urgent matters, please mention “URGENT” in the subject line.

Open to Collaborate on

  • Foundation models for biomedical scientific discovery
  • Agentic AI applications in life sciences and healthcare
  • Scientific literature data mining and knowledge discovery
  • Data-centric AI and efficient machine learning systems

Academic Service

Area Chair
AISTATS
Workshop Organizer
Data-Centric AI @ ICDM 2023/2024, CIKM 2024
Conference Reviewer
NeurIPS, ICML, ICLR, SIGKDD, and more
Journal Reviewer
Cell Research, Scientific Reports, ACM TKDD, and more