Directory

Young Elite Scientists Sponsorship Program

Beijing Association for Science and Technology (BAST),2024

Chinese Academy of Sciences President’s Award – Special Award

Chinese Academy of Sciences,2023

Meng's research interests include 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.

Hierarchical interdisciplinary topic detection model for research proposal classification

IEEE Transactions on Knowledge and Data Engineering – Xiao Meng, Qiao Ziyue, Fu Yanjie, Dong Hao, Du Yi, Wang Pengyang, Xiong Hui, Zhou Yuanchun (2023)

35 (9); 9685-9699

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

IEEE International Conference on Data Mining (ICDM) – Xiao Meng, Wang Dongjie, Wu Min, Wang Pengfei, Zhou Yuanchun, Fu Yanjie (2023)

Traceable group-wise self-optimizing feature transformation learning: A dual optimization perspective

ACM Transactions on Knowledge Discovery from Data – Xiao Meng, Wang Dongjie, Wu Min, Liu Kunpeng, Xiong Hui, Zhou Yuanchun, Fu Yanjie (2024)

18 (4); 1-22

Interdisciplinary Fairness in Imbalanced Research Proposal Topic Inference: A Hierarchical Transformer-based Method with Selective Interpolation

ACM Transactions on Knowledge Discovery from Data – Xiao Meng, Wu Min, Qiao Ziyue, Fu Yanjie, Ning Zhiyuan, Du Yi, Zhou Yuanchun (2025)

19 1-21

FastFT: Accelerating Reinforced Feature Transformation via Advanced Exploration Strategies

Proceedings of the IEEE International Conference on Data Engineering (ICDE) – He Tianqi, Huang Xiaohan, Du Yi, Long Qingqing, Qiao Ziyue, Wu Min, Fu Yanjie, Zhou Yuanchun, Xiao Meng (Corresponding Author) (2025)

4120-4133

GCAL: Adapting Graph Models to Evolving Domain Shifts

Proceedings of the 42nd International Conference on Machine Learning (ICML) – Qiao Ziyue, Cai Qianyi, Dong Hao, Gu Jiawei, Wang Pengyang, Xiao Meng (Corresponding Author), Luo Xiao, Xiong Hui (2025)

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

Proceedings of the IEEE International Conference on Data Mining (ICDM) – Cai Xunxin, Xiao Meng (Corresponding Author), Ning Zhiyuan, Zhou Yuanchun (2023)

956-961

Comae: Comprehensive attribute exploration for zero-shot hashing

Proceedings of the 2025 International Conference on Multimedia Retrieval (ICMR) – Li Yuqi, Long Qingqing, Zhou Yihang, Zhang Ran, Ning Zhiyuan, Zhu Zhihong, Zhou Yuanchun, Wang Xuezhi, Xiao Meng (Corresponding Author) (2025)

733-742

GeneSUM: Large Language Model-based Gene Summary Extraction

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine (BIBM) – Chen Zhijian, Hu Chuan, Wu Min, Long Qingqing, Wang Xuezhi, Zhou Yuanchun, Xiao Meng (Corresponding Author) (2024)

1438-1443

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

Proceedings of the International Conference on Database Systems for Advanced Applications (DASFAA) – Cai Xunxin, Wang Chengrui, Long Qingqing, Zhou Yuanchun, Xiao Meng (Corresponding Author) (2025)

Traceable Automatic Feature Transformation via Cascading Actor-Critic Agents

Proceedings of the 2023 SIAM International Conference on Data Mining (SDM) – Xiao Meng, Wang Dongjie, Wu Min, Qiao Ziyue, Wang Pengfei, Zhou Yuanchun, Fu Yanjie (2023)

775-783

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

IEEE International Conference on Data Mining (ICDM) – Xiao Meng, Qiao Ziyue, Fu Yanjie, Du Yi, Wang Pengyang, Zhou Yuanchun (2021)

757-767

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

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management (CIKM) – Lin Guojiao, Meng Zhen, Wang Dongjie, Long Qingqing, Zhou Yuanchun, Xiao Meng (Corresponding Author) (2024)

1400-1409

MOAT: Graph prompting for 3D molecular graphs

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management (CIKM) – Long Qingqing, Yan Yuchen, Cui Wentao, Ju Wei, Zhu Zhihong, Zhou Yuanchun, Wang Xuezhi, Xiao Meng (Corresponding Author) (2024)

1586-1596

Semi-supervised Domain Adaptation in Graph Transfer Learning

Proceedings of the 2023 International Joint Conference on Artificial Intelligence (IJCAI) – Qiao Ziyue, Luo Xiao, Xiao Meng (Co-First Author), Dong Hao, Zhou Yuanchun, Xiong Hui (2023)

253 2279-2287

Reinforcement Learning-based Feature Generation Algorithm for Scientific Data

Journal of Computer Research and Development – Xiao Meng, Zhou Junfeng, Zhou Yuanchun (2025)

Reinforcement-Enhanced Autoregressive Feature Transformation: Gradient-steered Search in Continuous Space for Postfix Expressions

Advances in Neural Information Processing Systems (NeurIPS), Spotlight Paper – Wang Dongjie, Xiao Meng (Co-First Author), Wu Min, Wang Pengfei, Zhou Yuanchun, Fu Yanjie (2023)

43563-43578

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

Proceedings of the 2024 International Conference on Computational Linguistics (COLING) – Huang Mengyi, Xiao Meng (Co-First Author), Wang Ludi, Du Yi (2024)

5338-5349

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

Proceedings of the IEEE International Conference on Data Mining (ICDM) – Li Cong, Long Qingqing, Zhou Yuanchun, Xiao Meng (Corresponding Author) (2024)

665-672

NEEDED: Introducing Hierarchical Transformer to Eye Diseases Diagnosis

Proceedings of the 2023 SIAM International Conference on Data Mining (SDM) – Ye Xu, Xiao Meng (Co-First Author), Ning Zhiyuan, Dai Weiwei, Cui Wenjuan, Du Yi, Zhou Yuanchun (2023)

667-675