Meng Xiao

70 papers A* 9A 4B 1Journal 50Unranked 6
YearRankTypeTitle / Venue / Authors
2026 J jnl
Adapting Graph Models via Target Integrity Assessment and Source Distribution Hypothesis.
IEEE Trans. Neural Networks Learn. Syst.
Ziyue Qiao, Xiaomin Yu, Weiyu Guo, Xiao Luo, Meng Xiao, Hui Xiong
2026 J jnl
DeepEra: A Deep Evidence Reranking Agent for Scientific Retrieval-Augmented Generated Question Answering.
CoRR
Haotian Chen, Qingqing Long, Siyu Pu, Xiao Luo, Wei Ju, Meng Xiao, Yuanchun Zhou, Jianghua Zhao, Xuezhi Wang
2026 J jnl
SciHorizon-GENE: Benchmarking LLM for Life Sciences Inference from Gene Knowledge to Functional Understanding.
CoRR
Xiaohan Huang, Meng Xiao, Chuan Qin, Qingqing Long, Jinmiao Chen, Yuanchun Zhou, Hengshu Zhu
2025 B conf
COMAE: COMprehensive Attribute Exploration for Zero-shot Hashing.
ICMR
Yuqi Li, Qingqing Long, Yihang Zhou, Ran Zhang, Zhiyuan Ning, Zhihong Zhu, Yuanchun Zhou, Xuezhi Wang, Meng Xiao
2025 J jnl
Collaborative Multi-Agent Reinforcement Learning for Automated Feature Transformation with Graph-Driven Path Optimization.
CoRR
Xiaohan Huang, Dongjie Wang, Zhiyuan Ning, Ziyue Qiao, Qingqing Long, Haowei Zhu, Yi Du, Min Wu, Yuanchun Zhou, Meng Xiao
2025 J jnl
Comprehend, Divide, and Conquer: Feature Subspace Exploration via Multi-Agent Hierarchical Reinforcement Learning.
CoRR
Weiliang Zhang, Xiaohan Huang, Yi Du, Ziyue Qiao, Qingqing Long, Zhen Meng, Yuanchun Zhou, Meng Xiao
2025 J jnl
FastFT: Accelerating Reinforced Feature Transformation via Advanced Exploration Strategies.
CoRR
Tianqi He, Xiaohan Huang, Yi Du, Qingqing Long, Ziyue Qiao, Min Wu, Yanjie Fu, Yuanchun Zhou, Meng Xiao
2025 A* conf
Fastft: Accelerating Reinforced Feature Transformation via Advanced Exploration Strategies.
ICDE
Tianqi He, Xiaohan Huang, Yi Du, Qingqing Long, Ziyue Qiao, Min Wu, Yanjie Fu, Yuanchun Zhou, Meng Xiao
2025 A* conf
GCAL: Adapting Graph Models to Evolving Domain Shifts.
ICML
Ziyue Qiao, Qianyi Cai, Hao Dong, Jiawei Gu, Pengyang Wang, Meng Xiao, Xiao Luo, Hui Xiong
2025 J jnl
GCAL: Adapting Graph Models to Evolving Domain Shifts.
CoRR
Ziyue Qiao, Qianyi Cai, Hao Dong, Jiawei Gu, Pengyang Wang, Meng Xiao, Xiao Luo, Hui Xiong
2025 J jnl
Interdisciplinary Fairness in Imbalanced Research Proposal Topic Inference: A Hierarchical Transformer-based Method with Selective Interpolation.
ACM Trans. Knowl. Discov. Data
Meng Xiao, Min Wu, Ziyue Qiao, Yanjie Fu, Zhiyuan Ning, Yi Du, Yuanchun Zhou
2025 J jnl
Knowledge Hierarchy Guided Biological-Medical Dataset Distillation for Domain LLM Training.
CoRR
Xunxin Cai, Chengrui Wang, Qingqing Long, Yuanchun Zhou, Meng Xiao
2025 J jnl
Knowledge-Guided Biomarker Identification for Label-Free Single-Cell RNA-Seq Data: A Reinforcement Learning Perspective.
CoRR
Meng Xiao, Weiliang Zhang, Xiaohan Huang, Hengshu Zhu, Min Wu, Xiaoli Li, Yuanchun Zhou
2025 J jnl
Knowledge-Guided Gene Panel Selection for Label-Free Single-Cell RNA-Seq Data: A Reinforcement Learning Perspective.
IEEE Trans. Comput. Biol. Bioinform.
Meng Xiao, Weiliang Zhang, Xiaohan Huang, Hengshu Zhu, Min Wu, Xiaoli Li, Yuanchun Zhou
2025 J jnl
Large Language Model Agent: A Survey on Methodology, Applications and Challenges.
CoRR
Junyu Luo, Weizhi Zhang, Ye Yuan, Yusheng Zhao, Junwei Yang, Yiyang Gu, Bohan Wu, Binqi Chen, Ziyue Qiao, Qingqing Long, Rongcheng Tu, Xiao Luo, Wei Ju, Zhiping Xiao, Yifan Wang, Meng Xiao, Chenwu Liu, Jingyang Yuan, Shichang Zhang, Yiqiao Jin, Fan Zhang, Xian Wu, Hanqing Zhao, Dacheng Tao, Philip S. Yu, Ming Zhang
2025 J jnl
Reinforcement Learning-based Feature Generation Algorithm for Scientific Data.
CoRR
Meng Xiao, Junfeng Zhou, Yuanchun Zhou
2025 — conf
SciHorizon: Benchmarking AI-for-Science Readiness from Scientific Data to Large Language Models.
KDD (2)
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
2025 J jnl
SciHorizon: Benchmarking AI-for-Science Readiness from Scientific Data to Large Language Models.
CoRR
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
2025 J jnl
SciRerankBench: Benchmarking Rerankers Towards Scientific Retrieval-Augmented Generated LLMs.
CoRR
Haotian Chen, Qingqing Long, Meng Xiao, Xiao Luo, Wei Ju, Chengrui Wang, Xuezhi Wang, Yuanchun Zhou, Hengshu Zhu
2025 J jnl
Soft Graph Clustering for single-cell RNA Sequencing Data.
CoRR
Ping Xu, Pengfei Wang, Zhiyuan Ning, Meng Xiao, Min Wu, Yuanchun Zhou
2025 J jnl
Soft graph clustering for single-cell RNA sequencing data.
BMC Bioinform.
Ping Xu, Pengfei Wang, Zhiyuan Ning, Meng Xiao, Min Wu, Yuanchun Zhou
2025 A* conf
Towards Continuous Reuse of Graph Models via Holistic Memory Diversification.
ICLR
Ziyue Qiao, Junren Xiao, Qingqiang Sun, Meng Xiao, Xiao Luo, Hui Xiong
2025 J jnl
Towards Data-Centric AI: A Comprehensive Survey of Traditional, Reinforcement, and Generative Approaches for Tabular Data Transformation.
CoRR
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
2025 J jnl
m-KAILIN: Knowledge-Driven Agentic Scientific Corpus Distillation Framework for Biomedical Large Language Models Training.
CoRR
Meng Xiao, Xunxin Cai, Chengrui Wang, Yuanchun Zhou
2024 J jnl
Automated taxonomy alignment via large language models: bridging the gap between knowledge domains.
Scientometrics
Wentao Cui, Meng Xiao, Ludi Wang, Xuezhi Wang, Yi Du, Yuanchun Zhou
2024 J jnl
BioRAG: A RAG-LLM Framework for Biological Question Reasoning.
CoRR
Chengrui Wang, Qingqing Long, Meng Xiao, Xunxin Cai, Chengjun Wu, Zhen Meng, Xuezhi Wang, Yuanchun Zhou
2024 — conf
DP-CRE: Continual Relation Extraction via Decoupled Contrastive Learning and Memory Structure Preservation.
LREC/COLING
Mengyi Huang, Meng Xiao, Ludi Wang, Yi Du
2024 J jnl
DP-CRE: Continual Relation Extraction via Decoupled Contrastive Learning and Memory Structure Preservation.
CoRR
Mengyi Huang, Meng Xiao, Ludi Wang, Yi Du
2024 J jnl
Enhanced Gene Selection in Single-Cell Genomics: Pre-Filtering Synergy and Reinforced Optimization.
CoRR
Weiliang Zhang, Zhen Meng, Dongjie Wang, Min Wu, Kunpeng Liu, Yuanchun Zhou, Meng Xiao
2024 J jnl
Enhancing Tabular Data Optimization with a Flexible Graph-based Reinforced Exploration Strategy.
CoRR
Xiaohan Huang, Dongjie Wang, Zhiyuan Ning, Ziyue Qiao, Qingqing Long, Haowei Zhu, Min Wu, Yuanchun Zhou, Meng Xiao
2024 A* conf
FedGCS: A Generative Framework for Efficient Client Selection in Federated Learning via Gradient-based Optimization.
IJCAI
Zhiyuan Ning, Chunlin Tian, Meng Xiao, Wei Fan, Pengyang Wang, Li Li, Pengfei Wang, Yuanchun Zhou
2024 J jnl
FedGCS: A Generative Framework for Efficient Client Selection in Federated Learning via Gradient-based Optimization.
CoRR
Zhiyuan Ning, Chunlin Tian, Meng Xiao, Wei Fan, Pengyang Wang, Li Li, Pengfei Wang, Yuanchun Zhou
2024 A conf
GUME: Graphs and User Modalities Enhancement for Long-Tail Multimodal Recommendation.
CIKM
Guojiao Lin, Zhen Meng, Dongjie Wang, Qingqing Long, Yuanchun Zhou, Meng Xiao
2024 J jnl
GUME: Graphs and User Modalities Enhancement for Long-Tail Multimodal Recommendation.
CoRR
Guojiao Lin, Zhen Meng, Dongjie Wang, Qingqing Long, Yuanchun Zhou, Meng Xiao
2024 J jnl
GeneSUM: Large Language Model-based Gene Summary Extraction.
CoRR
Zhijian Chen, Chuan Hu, Min Wu, Qingqing Long, Xuezhi Wang, Yuanchun Zhou, Meng Xiao
2024 — conf
GeneSum: Large Language Model-based Gene Summary Extraction.
BIBM
Zhijian Chen, Chuan Hu, Min Wu, Qingqing Long, Xuezhi Wang, Yuanchun Zhou, Meng Xiao
2024 J jnl
Holistic Memory Diversification for Incremental Learning in Growing Graphs.
CoRR
Ziyue Qiao, Junren Xiao, Qingqiang Sun, Meng Xiao, Hui Xiong
2024 J jnl
Information filtering and interpolating for semi-supervised graph domain adaptation.
Pattern Recognit.
Ziyue Qiao, Meng Xiao, Weiyu Guo, Xiao Luo, Hui Xiong
2024 A conf
MOAT: Graph Prompting for 3D Molecular Graphs.
CIKM
Qingqing Long, Yuchen Yan, Wentao Cui, Wei Ju, Zhihong Zhu, Yuanchun Zhou, Xuezhi Wang, Meng Xiao
2024 J jnl
Refining computational inference of gene regulatory networks: integrating knockout data within a multi-task framework.
Briefings Bioinform.
Wentao Cui, Qingqing Long, Meng Xiao, Xuezhi Wang, Guihai Feng, Xin Li, Pengfei Wang, Yuanchun Zhou
2024 — conf
SCREADER: Prompting Large Language Models to Interpret scRNA-seq Data.
ICDM (Workshops)
Cong Li, Qingqing Long, Yuanchun Zhou, Meng Xiao
2024 J jnl
Temporal inductive path neural network for temporal knowledge graph reasoning.
Artif. Intell.
Hao Dong, Pengyang Wang, Meng Xiao, Zhiyuan Ning, Pengfei Wang, Yuanchun Zhou
2024 J jnl
Traceable Group-Wise Self-Optimizing Feature Transformation Learning: A Dual Optimization Perspective.
ACM Trans. Knowl. Discov. Data
Meng Xiao, Dongjie Wang, Min Wu, Kunpeng Liu, Hui Xiong, Yuanchun Zhou, Yanjie Fu
2024 — conf
scCDCG: Efficient Deep Structural Clustering for Single-Cell RNA-Seq via Deep Cut-Informed Graph Embedding.
DASFAA (7)
Ping Xu, Zhiyuan Ning, Meng Xiao, Guihai Feng, Xin Li, Yuanchun Zhou, Pengfei Wang
2024 J jnl
scCDCG: Efficient Deep Structural Clustering for single-cell RNA-seq via Deep Cut-informed Graph Embedding.
CoRR
Ping Xu, Zhiyuan Ning, Meng Xiao, Guihai Feng, Xin Li, Yuanchun Zhou, Pengfei Wang
2024 J jnl
scInterpreter: Training Large Language Models to Interpret scRNA-seq Data for Cell Type Annotation.
CoRR
Cong Li, Meng Xiao, Pengfei Wang, Guihai Feng, Xin Li, Yuanchun Zhou
2024 J jnl
scReader: Prompting Large Language Models to Interpret scRNA-seq Data.
CoRR
Cong Li, Qingqing Long, Yuanchun Zhou, Meng Xiao
2023 A* conf
Beyond Discrete Selection: Continuous Embedding Space Optimization for Generative Feature Selection.
ICDM
Meng Xiao, Dongjie Wang, Min Wu, Pengfei Wang, Yuanchun Zhou, Yanjie Fu
2023 J jnl
Hierarchical Interdisciplinary Topic Detection Model for Research Proposal Classification.
IEEE Trans. Knowl. Data Eng.
Meng Xiao, Ziyue Qiao, Yanjie Fu, Hao Dong, Yi Du, Pengyang Wang, Hui Xiong, Yuanchun Zhou
2023 J jnl
Interdisciplinary Fairness in Imbalanced Research Proposal Topic Inference: A Hierarchical Transformer-based Method with Selective Interpolation.
CoRR
Meng Xiao, Min Wu, Ziyue Qiao, Yanjie Fu, Zhiyuan Ning, Yi Du, Yuanchun Zhou
2023 A conf
NEEDED: Introducing Hierarchical Transformer to Eye Diseases Diagnosis.
SDM
Xu Ye, Meng Xiao, Zhiyuan Ning, Weiwei Dai, Wenjuan Cui, Yi Du, Yuanchun Zhou
2023 J jnl
RPT: Toward Transferable Model on Heterogeneous Researcher Data via Pre-Training.
IEEE Trans. Big Data
Ziyue Qiao, Yanjie Fu, Pengyang Wang, Meng Xiao, Zhiyuan Ning, Denghui Zhang, Yi Du, Yuanchun Zhou
2023 A* conf
Reinforcement-Enhanced Autoregressive Feature Transformation: Gradient-steered Search in Continuous Space for Postfix Expressions.
NeurIPS
Dongjie Wang, Meng Xiao, Min Wu, Pengfei Wang, Yuanchun Zhou, Yanjie Fu
2023 J jnl
Reinforcement-Enhanced Autoregressive Feature Transformation: Gradient-steered Search in Continuous Space for Postfix Expressions.
CoRR
Dongjie Wang, Meng Xiao, Min Wu, Pengfei Wang, Yuanchun Zhou, Yanjie Fu
2023 A* conf
Resolving the Imbalance Issue in Hierarchical Disciplinary Topic Inference via LLM-based Data Augmentation.
ICDM
Xunxin Cai, Meng Xiao, Zhiyuan Ning, Yuanchun Zhou
2023 — conf
Resolving the Imbalance Issue in Hierarchical Disciplinary Topic Inference via LLM-based Data Augmentation.
ICDM (Workshops)
Xunxin Cai, Meng Xiao, Zhiyuan Ning, Yuanchun Zhou
2023 J jnl
Resolving the Imbalance Issue in Hierarchical Disciplinary Topic Inference via LLM-based Data Augmentation.
CoRR
Xunxin Cai, Meng Xiao, Zhiyuan Ning, Yuanchun Zhou
2023 A* conf
Semi-supervised Domain Adaptation in Graph Transfer Learning.
IJCAI
Ziyue Qiao, Xiao Luo, Meng Xiao, Hao Dong, Yuanchun Zhou, Hui Xiong
2023 J jnl
Semi-supervised Domain Adaptation in Graph Transfer Learning.
CoRR
Ziyue Qiao, Xiao Luo, Meng Xiao, Hao Dong, Yuanchun Zhou, Hui Xiong
2023 J jnl
Temporal Inductive Path Neural Network for Temporal Knowledge Graph Reasoning.
CoRR
Hao Dong, Pengyang Wang, Meng Xiao, Zhiyuan Ning, Pengfei Wang, Yuanchun Zhou
2023 A conf
Traceable Automatic Feature Transformation via Cascading Actor-Critic Agents.
SDM
Meng Xiao, Dongjie Wang, Min Wu, Ziyue Qiao, Pengfei Wang, Kunpeng Liu, Yuanchun Zhou, Yanjie Fu
2023 J jnl
Traceable Group-Wise Self-Optimizing Feature Transformation Learning: A Dual Optimization Perspective.
CoRR
Meng Xiao, Dongjie Wang, Min Wu, Kunpeng Liu, Hui Xiong, Yuanchun Zhou, Yanjie Fu
2022 J jnl
Hierarchical Interdisciplinary Topic Detection Model for Research Proposal Classification.
CoRR
Meng Xiao, Ziyue Qiao, Yanjie Fu, Hao Dong, Yi Du, Pengyang Wang, Hui Xiong, Yuanchun Zhou
2022 J jnl
NEEDED: Introducing Hierarchical Transformer to Eye Diseases Diagnosis.
CoRR
Xu Ye, Meng Xiao, Zhiyuan Ning, Weiwei Dai, Wenjuan Cui, Yi Du, Yuanchun Zhou
2022 J jnl
Self-Optimizing Feature Transformation.
CoRR
Meng Xiao, Dongjie Wang, Yanjie Fu, Kunpeng Liu, Min Wu, Hui Xiong, Yuanchun Zhou
2022 J jnl
Traceable Automatic Feature Transformation via Cascading Actor-Critic Agents.
CoRR
Meng Xiao, Dongjie Wang, Min Wu, Ziyue Qiao, Pengfei Wang, Kunpeng Liu, Yuanchun Zhou, Yanjie Fu
2022 J jnl
Who Should Review Your Proposal? Interdisciplinary Topic Path Detection for Research Proposals.
CoRR
Meng Xiao, Ziyue Qiao, Yanjie Fu, Hao Dong, Yi Du, Pengyang Wang, Dong Li, Yuanchun Zhou
2021 A* conf
Expert Knowledge-Guided Length-Variant Hierarchical Label Generation for Proposal Classification.
ICDM
Meng Xiao, Ziyue Qiao, Yanjie Fu, Yi Du, Pengyang Wang, Yuanchun Zhou
2021 J jnl
Expert Knowledge-Guided Length-Variant Hierarchical Label Generation for Proposal Classification.
CoRR
Meng Xiao, Ziyue Qiao, Yanjie Fu, Yi Du, Pengyang Wang
2021 J jnl
RPT: Toward Transferable Model on Heterogeneous Researcher Data via Pre-Training.
CoRR
Ziyue Qiao, Yanjie Fu, Pengyang Wang, Meng Xiao, Zhiyuan Ning, Yi Du, Yuanchun Zhou