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ORCIDMeng Xiao 0001
Person information
- affiliation: Computer Network Information Center, Chinese Academy of Sciences, Beijing, China
- affiliation: University of Chinese Academy of Sciences, Beijing, China
Other persons with the same name
- Meng Xiao — disambiguation page
- Meng Xiao 0002
![[0000-0002-1308-2100]](https://dblp.org/img/orcid-mark.12x12.png "0000-0002-1308-2100")
— Beihang University, Beijing, China - Meng Xiao 0003 — Southeast University, Nanjing, China
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2020 – today
- 2024
[j6]Hao Dong, Pengyang Wang, Meng Xiao, Zhiyuan Ning, Pengfei Wang, Yuanchun Zhou:
Temporal inductive path neural network for temporal knowledge graph reasoning. Artif. Intell. 329: 104085 (2024)- [j5]Wentao Cui, Qingqing Long, Meng Xiao, Xuezhi Wang, Guihai Feng, Xin Li, Pengfei Wang, Yuanchun Zhou:
Refining computational inference of gene regulatory networks: integrating knockout data within a multi-task framework. Briefings Bioinform. 25(5) (2024) - [j4]Ziyue Qiao, Meng Xiao, Weiyu Guo, Xiao Luo, Hui Xiong:
Information filtering and interpolating for semi-supervised graph domain adaptation. Pattern Recognit. 153: 110498 (2024) - [j3]Meng Xiao, Dongjie Wang, Min Wu, Kunpeng Liu, Hui Xiong, Yuanchun Zhou, Yanjie Fu:
Traceable Group-Wise Self-Optimizing Feature Transformation Learning: A Dual Optimization Perspective. ACM Trans. Knowl. Discov. Data 18(4): 76:1-76:22 (2024) - [c11]Mengyi Huang, Meng Xiao, Ludi Wang, Yi Du:
DP-CRE: Continual Relation Extraction via Decoupled Contrastive Learning and Memory Structure Preservation. LREC/COLING 2024: 5338-5349 - [c10]Ping Xu, Zhiyuan Ning, Meng Xiao, Guihai Feng, Xin Li, Yuanchun Zhou, Pengfei Wang:
scCDCG: Efficient Deep Structural Clustering for Single-Cell RNA-Seq via Deep Cut-Informed Graph Embedding. DASFAA (7) 2024: 172-187 - [c9]Zhiyuan Ning, Chunlin Tian, Meng Xiao, Wei Fan, Pengyang Wang, Li Li, Pengfei Wang, Yuanchun Zhou:
FedGCS: A Generative Framework for Efficient Client Selection in Federated Learning via Gradient-based Optimization. IJCAI 2024: 4760-4768 - [i22]Cong Li, Meng Xiao, Pengfei Wang, Guihai Feng, Xin Li, Yuanchun Zhou:
scInterpreter: Training Large Language Models to Interpret scRNA-seq Data for Cell Type Annotation. CoRR abs/2402.12405 (2024) - [i21]Mengyi Huang, Meng Xiao, Ludi Wang, Yi Du:
DP-CRE: Continual Relation Extraction via Decoupled Contrastive Learning and Memory Structure Preservation. CoRR abs/2403.02718 (2024) - [i20]Ping Xu, Zhiyuan Ning, Meng Xiao, Guihai Feng, Xin Li, Yuanchun Zhou, Pengfei Wang:
scCDCG: Efficient Deep Structural Clustering for single-cell RNA-seq via Deep Cut-informed Graph Embedding. CoRR abs/2404.06167 (2024) - [i19]Zhiyuan Ning, Chunlin Tian, Meng Xiao, Wei Fan, Pengyang Wang, Li Li, Pengfei Wang, Yuanchun Zhou:
FedGCS: A Generative Framework for Efficient Client Selection in Federated Learning via Gradient-based Optimization. CoRR abs/2405.06312 (2024) - [i18]Xiaohan Huang, Dongjie Wang, Zhiyuan Ning, Ziyue Qiao, Qingqing Long, Haowei Zhu, Min Wu, Yuanchun Zhou, Meng Xiao:
Enhancing Tabular Data Optimization with a Flexible Graph-based Reinforced Exploration Strategy. CoRR abs/2406.07404 (2024) - [i17]Ziyue Qiao, Junren Xiao, Qingqiang Sun, Meng Xiao, Hui Xiong:
Holistic Memory Diversification for Incremental Learning in Growing Graphs. CoRR abs/2406.07413 (2024) - [i16]Weiliang Zhang, Zhen Meng, Dongjie Wang, Min Wu, Kunpeng Liu, Yuanchun Zhou, Meng Xiao:
Enhanced Gene Selection in Single-Cell Genomics: Pre-Filtering Synergy and Reinforced Optimization. CoRR abs/2406.07418 (2024) - [i15]Guojiao Lin, Zhen Meng, Dongjie Wang, Qingqing Long, Yuanchun Zhou, Meng Xiao:
GUME: Graphs and User Modalities Enhancement for Long-Tail Multimodal Recommendation. CoRR abs/2407.12338 (2024) - [i14]Chengrui Wang, Qingqing Long, Meng Xiao, Xunxin Cai, Chengjun Wu, Zhen Meng, Xuezhi Wang, Yuanchun Zhou:
BioRAG: A RAG-LLM Framework for Biological Question Reasoning. CoRR abs/2408.01107 (2024) - 2023
- [j2]Ziyue Qiao, Yanjie Fu, Pengyang Wang, Meng Xiao, Zhiyuan Ning, Denghui Zhang, Yi Du, Yuanchun Zhou:
RPT: Toward Transferable Model on Heterogeneous Researcher Data via Pre-Training. IEEE Trans. Big Data 9(1): 186-199 (2023) - [j1]Meng Xiao, Ziyue Qiao, Yanjie Fu, Hao Dong, Yi Du, Pengyang Wang, Hui Xiong, Yuanchun Zhou:
Hierarchical Interdisciplinary Topic Detection Model for Research Proposal Classification. IEEE Trans. Knowl. Data Eng. 35(9): 9685-9699 (2023) - [c8]Meng Xiao, Dongjie Wang, Min Wu, Pengfei Wang, Yuanchun Zhou, Yanjie Fu:
Beyond Discrete Selection: Continuous Embedding Space Optimization for Generative Feature Selection. ICDM 2023: 688-697 - [c7]Xunxin Cai, Meng Xiao, Zhiyuan Ning, Yuanchun Zhou:
Resolving the Imbalance Issue in Hierarchical Disciplinary Topic Inference via LLM-based Data Augmentation. ICDM 2023: 956-961 - [c6]Xunxin Cai, Meng Xiao, Zhiyuan Ning, Yuanchun Zhou:
Resolving the Imbalance Issue in Hierarchical Disciplinary Topic Inference via LLM-based Data Augmentation. ICDM (Workshops) 2023: 1424-1429 - [c5]Ziyue Qiao, Xiao Luo, Meng Xiao, Hao Dong, Yuanchun Zhou, Hui Xiong:
Semi-supervised Domain Adaptation in Graph Transfer Learning. IJCAI 2023: 2279-2287 - [c4]Dongjie Wang, Meng Xiao, Min Wu, Pengfei Wang, Yuanchun Zhou, Yanjie Fu:
Reinforcement-Enhanced Autoregressive Feature Transformation: Gradient-steered Search in Continuous Space for Postfix Expressions. NeurIPS 2023 - [c3]Xu Ye, Meng Xiao, Zhiyuan Ning, Weiwei Dai, Wenjuan Cui, Yi Du, Yuanchun Zhou:
NEEDED: Introducing Hierarchical Transformer to Eye Diseases Diagnosis. SDM 2023: 667-675 - [c2]Meng Xiao, Dongjie Wang, Min Wu, Ziyue Qiao, Pengfei Wang, Kunpeng Liu, Yuanchun Zhou, Yanjie Fu:
Traceable Automatic Feature Transformation via Cascading Actor-Critic Agents. SDM 2023: 775-783 - [i13]Meng Xiao, Dongjie Wang, Min Wu, Kunpeng Liu, Hui Xiong, Yuanchun Zhou, Yanjie Fu:
Traceable Group-Wise Self-Optimizing Feature Transformation Learning: A Dual Optimization Perspective. CoRR abs/2306.16893 (2023) - [i12]Meng Xiao, Min Wu, Ziyue Qiao, Yanjie Fu, Zhiyuan Ning, Yi Du, Yuanchun Zhou:
Interdisciplinary Fairness in Imbalanced Research Proposal Topic Inference: A Hierarchical Transformer-based Method with Selective Interpolation. CoRR abs/2309.01717 (2023) - [i11]Hao Dong, Pengyang Wang, Meng Xiao, Zhiyuan Ning, Pengfei Wang, Yuanchun Zhou:
Temporal Inductive Path Neural Network for Temporal Knowledge Graph Reasoning. CoRR abs/2309.03251 (2023) - [i10]Ziyue Qiao, Xiao Luo, Meng Xiao, Hao Dong, Yuanchun Zhou, Hui Xiong:
Semi-supervised Domain Adaptation in Graph Transfer Learning. CoRR abs/2309.10773 (2023) - [i9]Dongjie Wang, Meng Xiao, Min Wu, Pengfei Wang, Yuanchun Zhou, Yanjie Fu:
Reinforcement-Enhanced Autoregressive Feature Transformation: Gradient-steered Search in Continuous Space for Postfix Expressions. CoRR abs/2309.13618 (2023) - [i8]Xunxin Cai, Meng Xiao, Zhiyuan Ning, Yuanchun Zhou:
Resolving the Imbalance Issue in Hierarchical Disciplinary Topic Inference via LLM-based Data Augmentation. CoRR abs/2310.05318 (2023) - 2022
- [i7]Meng Xiao, Ziyue Qiao, Yanjie Fu, Hao Dong, Yi Du, Pengyang Wang, Dong Li, Yuanchun Zhou:
Who Should Review Your Proposal? Interdisciplinary Topic Path Detection for Research Proposals. CoRR abs/2203.10922 (2022) - [i6]Meng Xiao, Dongjie Wang, Yanjie Fu, Kunpeng Liu, Min Wu, Hui Xiong, Yuanchun Zhou:
Self-Optimizing Feature Transformation. CoRR abs/2209.08044 (2022) - [i5]Meng Xiao, Ziyue Qiao, Yanjie Fu, Hao Dong, Yi Du, Pengyang Wang, Hui Xiong, Yuanchun Zhou:
Hierarchical Interdisciplinary Topic Detection Model for Research Proposal Classification. CoRR abs/2209.13519 (2022) - [i4]Meng Xiao, Dongjie Wang, Min Wu, Ziyue Qiao, Pengfei Wang, Kunpeng Liu, Yuanchun Zhou, Yanjie Fu:
Traceable Automatic Feature Transformation via Cascading Actor-Critic Agents. CoRR abs/2212.13402 (2022) - [i3]Xu Ye, Meng Xiao, Zhiyuan Ning, Weiwei Dai, Wenjuan Cui, Yi Du, Yuanchun Zhou:
NEEDED: Introducing Hierarchical Transformer to Eye Diseases Diagnosis. CoRR abs/2212.13408 (2022) - 2021
- [c1]Meng Xiao, Ziyue Qiao, Yanjie Fu, Yi Du, Pengyang Wang, Yuanchun Zhou:
Expert Knowledge-Guided Length-Variant Hierarchical Label Generation for Proposal Classification. ICDM 2021: 757-766 - [i2]Meng Xiao, Ziyue Qiao, Yanjie Fu, Yi Du, Pengyang Wang:
Expert Knowledge-Guided Length-Variant Hierarchical Label Generation for Proposal Classification. CoRR abs/2109.06661 (2021) - [i1]Ziyue Qiao, Yanjie Fu, Pengyang Wang, Meng Xiao, Zhiyuan Ning, Yi Du, Yuanchun Zhou:
RPT: Toward Transferable Model on Heterogeneous Researcher Data via Pre-Training. CoRR abs/2110.07336 (2021)
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