Expert Knowledge-Guided Length-Variant Hierarchical Label Generation for Proposal Classification. - Meng Xiao 001; Ziyue Qiao; Yanjie Fu; Yi Du; Pengyang Wang; Yuanchun Zhou (ICDM, 2021)

Expert Knowledge-Guided Length-Variant Hierarchical Label Generation for Proposal Classification. - Meng Xiao 001; Ziyue Qiao; Yanjie Fu; Yi Du; Pengyang Wang (CoRR, 2021)

RPT: Toward Transferable Model on Heterogeneous Researcher Data via Pre-Training. - Ziyue Qiao; Yanjie Fu; Pengyang Wang; Meng Xiao 001; Zhiyuan Ning; Yi Du; Yuanchun Zhou (CoRR, 2021)

Who Should Review Your Proposal? Interdisciplinary Topic Path Detection for Research Proposals. - Meng Xiao 001; Ziyue Qiao; Yanjie Fu; Hao Dong 010; Yi Du; Pengyang Wang; Dong Li 002; Yuanchun Zhou (CoRR, 2022)

Self-Optimizing Feature Transformation. - Meng Xiao 001; Dongjie Wang; Yanjie Fu; Kunpeng Liu 001; Min Wu 008; Hui Xiong 001; Yuanchun Zhou (CoRR, 2022)

Beyond Discrete Selection: Continuous Embedding Space Optimization for Generative Feature Selection. - Meng Xiao 001; Dongjie Wang; Min Wu 008; Pengfei Wang 008; Yuanchun Zhou; Yanjie Fu (ICDM, 2023)

Resolving the Imbalance Issue in Hierarchical Disciplinary Topic Inference via LLM-based Data Augmentation. - Xunxin Cai; Meng Xiao 001; Zhiyuan Ning; Yuanchun Zhou (ICDM (Workshops), 2023)

Semi-supervised Domain Adaptation in Graph Transfer Learning. - Ziyue Qiao; Xiao Luo 001; Meng Xiao 001; Hao Dong 010; Yuanchun Zhou; Hui Xiong 001 (IJCAI, 2023)

Reinforcement-Enhanced Autoregressive Feature Transformation: Gradient-steered Search in Continuous Space for Postfix Expressions. - Dongjie Wang; Meng Xiao 001; Min Wu 008; Pengfei Wang 008; Yuanchun Zhou; Yanjie Fu (NeurIPS, 2023)

Traceable Automatic Feature Transformation via Cascading Actor-Critic Agents. - Meng Xiao 001; Dongjie Wang; Min Wu 008; Ziyue Qiao; Pengfei Wang 008; Kunpeng Liu 001; Yuanchun Zhou; Yanjie Fu (SDM, 2023)

NEEDED: Introducing Hierarchical Transformer to Eye Diseases Diagnosis. - Xu Ye; Meng Xiao 001; Zhiyuan Ning; Weiwei Dai; Wenjuan Cui; Yi Du; Yuanchun Zhou (SDM, 2023)

RPT: Toward Transferable Model on Heterogeneous Researcher Data via Pre-Training. - Ziyue Qiao; Yanjie Fu; Pengyang Wang; Meng Xiao 001; Zhiyuan Ning; Denghui Zhang; Yi Du; Yuanchun Zhou (IEEE Trans. Big Data, 2023)

Hierarchical Interdisciplinary Topic Detection Model for Research Proposal Classification. - Meng Xiao 001; Ziyue Qiao; Yanjie Fu; Hao Dong 010; Yi Du; Pengyang Wang; Hui Xiong 001; Yuanchun Zhou (IEEE Trans. Knowl. Data Eng., 2023)

GeneSum: Large Language Model-based Gene Summary Extraction. - Zhijian Chen; Chuan Hu; Min Wu 008; Qingqing Long; Xuezhi Wang 004; Yuanchun Zhou; Meng Xiao 001 (BIBM, 2024)

GUME: Graphs and User Modalities Enhancement for Long-Tail Multimodal Recommendation. - Guojiao Lin; Zhen Meng; Dongjie Wang; Qingqing Long; Yuanchun Zhou; Meng Xiao 001 (CIKM, 2024)

MOAT: Graph Prompting for 3D Molecular Graphs. - Qingqing Long; Yuchen Yan; Wentao Cui; Wei Ju 001; Zhihong Zhu; Yuanchun Zhou; Xuezhi Wang 004; Meng Xiao 001 (CIKM, 2024)

DP-CRE: Continual Relation Extraction via Decoupled Contrastive Learning and Memory Structure Preservation. - Mengyi Huang; Meng Xiao 001; Ludi Wang; Yi Du (LREC/COLING, 2024)

scCDCG: Efficient Deep Structural Clustering for Single-Cell RNA-Seq via Deep Cut-Informed Graph Embedding. - Ping Xu; Zhiyuan Ning; Meng Xiao 001; Guihai Feng; Xin Li; Yuanchun Zhou; Pengfei Wang 008 (DASFAA (7), 2024)

SCREADER: Prompting Large Language Models to Interpret scRNA-seq Data. - Cong Li; Qingqing Long; Yuanchun Zhou; Meng Xiao 001 (ICDM (Workshops), 2024)

FedGCS: A Generative Framework for Efficient Client Selection in Federated Learning via Gradient-based Optimization. - Zhiyuan Ning; Chunlin Tian; Meng Xiao 001; Wei Fan 010; Pengyang Wang; Li Li 064; Pengfei Wang 008; Yuanchun Zhou (IJCAI, 2024)

Temporal inductive path neural network for temporal knowledge graph reasoning. - Hao Dong 010; Pengyang Wang; Meng Xiao 001; Zhiyuan Ning; Pengfei Wang 008; Yuanchun Zhou (Artif. Intell., 2024)

Refining computational inference of gene regulatory networks: integrating knockout data within a multi-task framework. - Wentao Cui; Qingqing Long; Meng Xiao 001; Xuezhi Wang 004; Guihai Feng; Xin Li; Pengfei Wang 008; Yuanchun Zhou (Briefings Bioinform., 2024)

scInterpreter: Training Large Language Models to Interpret scRNA-seq Data for Cell Type Annotation. - Cong Li; Meng Xiao 001; Pengfei Wang 008; Guihai Feng; Xin Li; Yuanchun Zhou (CoRR, 2024)

Enhancing Tabular Data Optimization with a Flexible Graph-based Reinforced Exploration Strategy. - Xiaohan Huang 003; Dongjie Wang; Zhiyuan Ning; Ziyue Qiao; Qingqing Long; Haowei Zhu; Min Wu 008; Yuanchun Zhou; Meng Xiao 001 (CoRR, 2024)

Holistic Memory Diversification for Incremental Learning in Growing Graphs. - Ziyue Qiao; Junren Xiao; Qingqiang Sun; Meng Xiao 001; Hui Xiong 001 (CoRR, 2024)

Enhanced Gene Selection in Single-Cell Genomics: Pre-Filtering Synergy and Reinforced Optimization. - Weiliang Zhang; Zhen Meng; Dongjie Wang; Min Wu 008; Kunpeng Liu 001; Yuanchun Zhou; Meng Xiao 001 (CoRR, 2024)

BioRAG: A RAG-LLM Framework for Biological Question Reasoning. - Chengrui Wang; Qingqing Long; Meng Xiao 001; Xunxin Cai; Chengjun Wu; Zhen Meng; Xuezhi Wang 004; Yuanchun Zhou (CoRR, 2024)

Information filtering and interpolating for semi-supervised graph domain adaptation. - Ziyue Qiao; Meng Xiao 001; Weiyu Guo; Xiao Luo 001; Hui Xiong 001 (Pattern Recognit., 2024)

Traceable Group-Wise Self-Optimizing Feature Transformation Learning: A Dual Optimization Perspective. - Meng Xiao 001; Dongjie Wang; Min Wu 008; Kunpeng Liu 001; Hui Xiong 001; Yuanchun Zhou; Yanjie Fu (ACM Trans. Knowl. Discov. Data, 2024)

Automated taxonomy alignment via large language models: bridging the gap between knowledge domains. - Wentao Cui; Meng Xiao 001; Ludi Wang; Xuezhi Wang 004; Yi Du; Yuanchun Zhou (Scientometrics, 2024)

Fastft: Accelerating Reinforced Feature Transformation via Advanced Exploration Strategies. - Tianqi He; Xiaohan Huang 003; Yi Du; Qingqing Long; Ziyue Qiao; Min Wu 008; Yanjie Fu; Yuanchun Zhou; Meng Xiao 001 (ICDE, 2025)

Towards Continuous Reuse of Graph Models via Holistic Memory Diversification. - Ziyue Qiao; Junren Xiao; Qingqiang Sun; Meng Xiao 001; Xiao Luo 001; Hui Xiong 001 (ICLR, 2025)

COMAE: COMprehensive Attribute Exploration for Zero-shot Hashing. - Yuqi Li; Qingqing Long; Yihang Zhou; Ran Zhang 008; Zhiyuan Ning; Zhihong Zhu; Yuanchun Zhou; Xuezhi Wang 004; Meng Xiao 001 (ICMR, 2025)

Knowledge-Guided Biomarker Identification for Label-Free Single-Cell RNA-Seq Data: A Reinforcement Learning Perspective. - Meng Xiao 001; Weiliang Zhang; Xiaohan Huang 003; Hengshu Zhu; Min Wu 008; Xiaoli Li 001; Yuanchun Zhou (CoRR, 2025)

Towards Data-Centric AI: A Comprehensive Survey of Traditional, Reinforcement, and Generative Approaches for Tabular Data Transformation. - Dongjie Wang; Yanyong Huang; Wangyang Ying; Haoyue Bai 002; Nanxu Gong; Xinyuan Wang 011; Sixun Dong; Tao Zhe; Kunpeng Liu 001; Meng Xiao 001; Pengfei Wang 008; Pengyang Wang; et al. (CoRR, 2025)

Knowledge Hierarchy Guided Biological-Medical Dataset Distillation for Domain LLM Training. - Xunxin Cai; Chengrui Wang; Qingqing Long; Yuanchun Zhou; Meng Xiao 001 (CoRR, 2025)

Interdisciplinary Fairness in Imbalanced Research Proposal Topic Inference: A Hierarchical Transformer-based Method with Selective Interpolation. - Meng Xiao 001; Min Wu 008; Ziyue Qiao; Yanjie Fu; Zhiyuan Ning; Yi Du; Yuanchun Zhou (ACM Trans. Knowl. Discov. Data, 2025)

SciHorizon: Benchmarking AI-for-Science Readiness from Scientific Data to Large Language Models. - Chuan Qin 002; Xin Chen; Chengrui Wang; Pengmin Wu; Xi Chen 073; Yihang Cheng 001; Jingyi Zhao; Meng Xiao 001; Xiangchao Dong; Qingqing Long; Boya Pan; Han Wu 002; et al. (CoRR, 2025)

Large Language Model Agent: A Survey on Methodology, Applications and Challenges. - Junyu Luo 002; Weizhi Zhang; Ye Yuan; Yusheng Zhao; Junwei Yang; Yiyang Gu; Bohan Wu; Binqi Chen; Ziyue Qiao; Qingqing Long; Rongcheng Tu; Xiao Luo 001; et al. (CoRR, 2025)

Collaborative Multi-Agent Reinforcement Learning for Automated Feature Transformation with Graph-Driven Path Optimization. - Xiaohan Huang 003; Dongjie Wang; Zhiyuan Ning; Ziyue Qiao; Qingqing Long; Haowei Zhu; Yi Du; Min Wu 008; Yuanchun Zhou; Meng Xiao 001 (CoRR, 2025)

Comprehend, Divide, and Conquer: Feature Subspace Exploration via Multi-Agent Hierarchical Reinforcement Learning. - Weiliang Zhang; Xiaohan Huang 003; Yi Du; Ziyue Qiao; Qingqing Long; Zhen Meng; Yuanchun Zhou; Meng Xiao 001 (CoRR, 2025)

m-KAILIN: Knowledge-Driven Agentic Scientific Corpus Distillation Framework for Biomedical Large Language Models Training. - Meng Xiao 001; Xunxin Cai; Chengrui Wang; Yuanchun Zhou (CoRR, 2025)

GCAL: Adapting Graph Models to Evolving Domain Shifts. - Ziyue Qiao; Qianyi Cai; Hao Dong 010; Jiawei Gu; Pengyang Wang; Meng Xiao 001; Xiao Luo 001; Hui Xiong 001 (CoRR, 2025)

Reinforcement Learning-based Feature Generation Algorithm for Scientific Data. - Meng Xiao 001; Junfeng Zhou; Yuanchun Zhou (CoRR, 2025)

SciRerankBench: Benchmarking Rerankers Towards Scientific Retrieval-Augmented Generated LLMs. - Haotian Chen; Qingqing Long; Meng Xiao 001; Xiao Luo 001; Wei Ju 001; Chengrui Wang; Xuezhi Wang 004; Yuanchun Zhou; Hengshu Zhu (CoRR, 2025)

Soft graph clustering for single-cell RNA sequencing data. - Ping Xu; Pengfei Wang 008; Zhiyuan Ning; Meng Xiao 001; Min Wu 008; Yuanchun Zhou (BMC Bioinform., 2025)