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    "id": "gmr2026", "num": "P1", "type": "J", "year": 9999,
    "title": "GMR: Geometric Manifold Rectification for Imbalanced Learning",
    "authors": ["Xubin Wang", "Qing Li", "Weijia Jia"], "firstAuthorIdx": 0, "corrIdx": [],
    "venue": "Preprint · arXiv:2602.13045 · 2026", "tags": [],
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    "id": "metasel2026", "num": "P2", "type": "C", "year": 9999,
    "title": "Meta-Sel: Efficient Demonstration Selection for In-Context Learning via Supervised Meta-Learning",
    "authors": ["Xubin Wang", "Weijia Jia"], "firstAuthorIdx": 0, "corrIdx": [],
    "venue": "Preprint · arXiv:2602.12123 · 2026", "tags": [],
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    "bibtex": "@misc{wang2026metasel, title={Meta-Sel: Efficient Demonstration Selection for In-Context Learning via Supervised Meta-Learning}, author={Wang, Xubin and Jia, Weijia}, year={2026}, note={arXiv:2602.12123}}"
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    "id": "cognitive2025", "num": "P3", "type": "J", "year": 9999,
    "title": "Cognitive Edge Computing: A Comprehensive Survey on Optimizing Large Models and AI Agents for Pervasive Deployment",
    "authors": ["Xubin Wang", "Qing Li", "Weijia Jia"], "firstAuthorIdx": 0, "corrIdx": [],
    "venue": "Preprint · arXiv:2501.03265 · 2025", "tags": [],
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    "bibtex": "@misc{wang2025cognitive, title={Cognitive Edge Computing: A Comprehensive Survey on Optimizing Large Models and AI Agents for Pervasive Deployment}, author={Wang, Xubin and Li, Qing and Jia, Weijia}, year={2025}, note={arXiv:2501.03265}}"
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    "id": "selfevolving2026", "num": "P4", "type": "J", "year": 9999,
    "title": "Self-Evolving Context Engineering for LLM-Based Multi-Agent Systems: A Survey",
    "authors": ["Deyu Cai", "Xubin Wang", "Weijia Jia"], "firstAuthorIdx": 1, "corrIdx": [],
    "venue": "Preprint · 2026", "tags": [],
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    "bibtex": "@misc{cai2026selfevolving, title={Self-Evolving Context Engineering for LLM-Based Multi-Agent Systems: A Survey}, author={Cai, Deyu and Wang, Xubin and Jia, Weijia}, year={2026}}"
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    "id": "napso2026", "num": "11", "type": "J", "year": 2026, "selected": true, "selectedOrder": 4,
    "title": "A Niching Archive-Assisted Evolutionary Algorithm for Multimodal Feature Selection in High-Dimensional Data Classification",
    "authors": ["Yunhe Wang", "Zhengyu Du", "Zeming Zhou", "Xubin Wang", "Shengxiang Yang"], "firstAuthorIdx": 3, "corrIdx": [3],
    "venue": "Knowledge-Based Systems, 115870, 2026", "tags": ["SCI I", "IF 2026: 7.6"],
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    "bibtex": "@article{WANG2026115870, title={A Niching Archive-Assisted Evolutionary Algorithm for Multimodal Feature Selection in High-Dimensional Data Classification}, journal={Knowledge-Based Systems}, pages={115870}, year={2026}, issn={0950-7051}, doi={https://doi.org/10.1016/j.knosys.2026.115870}, url={https://www.sciencedirect.com/science/article/pii/S0950705126005964}, author={Yunhe Wang and Zhengyu Du and Zeming Zhou and Xubin Wang and Shengxiang Yang}}"
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    "id": "rdes2025", "num": "10", "type": "C", "year": 2025, "selected": true, "selectedOrder": 1,
    "title": "Demonstration Selection for In-Context Learning via Reinforcement Learning",
    "authors": ["Xubin Wang", "Jianfei Wu", "Yichen Yuan", "Deyu Cai", "Mingzhe Li", "Weijia Jia"], "firstAuthorIdx": 0, "corrIdx": [],
    "venue": "Forty-Second International Conference on Machine Learning (ICML), 2025", "tags": ["CCF A"],
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    "bibtex": "@inproceedings{wangdemonstration, title={Demonstration Selection for In-Context Learning via Reinforcement Learning}, author={Wang, Xubin and Wu, Jianfei and Yuan, Yichen and Cai, Deyu and Li, Mingzhe and Jia, Weijia}, booktitle={Forty-second International Conference on Machine Learning}}"
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    "id": "ondevice2025", "num": "9", "type": "J", "year": 2025, "selected": true, "selectedOrder": 2,
    "title": "Empowering Edge Intelligence: A Comprehensive Survey on On-Device AI Models",
    "authors": ["Xubin Wang", "Zhiqing Tang", "Jianxiong Guo", "Tianhui Meng", "Chenhao Wang", "Tian Wang", "Weijia Jia"], "firstAuthorIdx": 0, "corrIdx": [],
    "venue": "ACM Computing Surveys, 57(9):1-39, 2025", "tags": ["SCI I", "IF 2025: 28", "ESI Hot Paper"],
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    "bibtex": "@article{wang2025empowering, title={Empowering edge intelligence: A comprehensive survey on on-device ai models}, author={Wang, Xubin and Tang, Zhiqing and Guo, Jianxiong and Meng, Tianhui and Wang, Chenhao and Wang, Tian and Jia, Weijia}, journal={ACM Computing Surveys}, volume={57}, number={9}, pages={1--39}, year={2025}, publisher={ACM New York, NY}}"
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    "id": "icassp2025", "num": "8", "type": "C", "year": 2025,
    "title": "Enhancing Text Annotation through Rationale-Driven Collaborative Few-Shot Prompting",
    "authors": ["Jianfei Wu", "Xubin Wang", "Weijia Jia"], "firstAuthorIdx": 1, "corrIdx": [],
    "venue": "ICASSP 2025-2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2025", "tags": ["CCF B"],
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    "bibtex": "@inproceedings{wu2025enhancing, title={Enhancing text annotation through rationale-driven collaborative few-shot prompting}, author={Wu, Jianfei and Wang, Xubin and Jia, Weijia}, booktitle={ICASSP 2025-2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)}, pages={1--5}, year={2025}, organization={IEEE}}"
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    "id": "eode2024", "num": "7", "type": "J", "year": 2024, "selected": true, "selectedOrder": 5,
    "title": "Exhaustive Exploitation of Nature-Inspired Computation for Cancer Screening in an Ensemble Manner",
    "authors": ["Xubin Wang", "Yunhe Wang", "Zhiqiang Ma", "Ka-Chun Wong", "Xiangtao Li"], "firstAuthorIdx": 0, "corrIdx": [],
    "venue": "IEEE/ACM Transactions on Computational Biology and Bioinformatics, 21(5):1366-1379, 2024", "tags": ["CCF B", "IF 2024: 3.4"],
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    "bibtex": "@article{wang2024exhaustive, title={Exhaustive Exploitation of Nature-Inspired Computation for Cancer Screening in an Ensemble Manner}, author={Wang, Xubin and Wang, Yunhe and Ma, Zhiqiang and Wong, Ka-Chun and Li, Xiangtao}, journal={IEEE/ACM Transactions on Computational Biology and Bioinformatics}, volume={21}, number={5}, pages={1366--1379}, year={2024}, publisher={IEEE}}"
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    "id": "mel2024", "num": "6", "type": "J", "year": 2024, "selected": true, "selectedOrder": 3,
    "title": "MEL: Efficient Multi-Task Evolutionary Learning for High-Dimensional Feature Selection",
    "authors": ["Xubin Wang", "Haojiong Shangguan", "Fengyi Huang", "Shangrui Wu", "Weijia Jia"], "firstAuthorIdx": 0, "corrIdx": [],
    "venue": "IEEE Transactions on Knowledge and Data Engineering, 36(08):4020-4033, 2024", "tags": ["CCF A", "IF 2024: 10.4"],
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    "bibtex": "@article{wang2024mel, title={MEL: Efficient multi-task evolutionary learning for high-dimensional feature selection}, author={Wang, Xubin and Shangguan, Haojiong and Huang, Fengyi and Wu, Shangrui and Jia, Weijia}, journal={IEEE Transactions on Knowledge and Data Engineering}, volume={36}, number={8}, pages={4020--4033}, year={2024}, publisher={IEEE}}"
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    "id": "hsnoe2024", "num": "5", "type": "J", "year": 2024, "selected": true, "selectedOrder": 6,
    "title": "Evolving Pathway Activation from Cancer Gene Expression Data using Nature-inspired Ensemble Optimization",
    "authors": ["Xubin Wang", "Yunhe Wang", "Zhiqiang Ma", "Ka-Chun Wong", "Xiangtao Li"], "firstAuthorIdx": 0, "corrIdx": [],
    "venue": "Expert Systems with Applications, 248:123469, 2024", "tags": ["SCI I", "IF 2024: 7.5"],
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    "bibtex": "@article{wang2024evolving, title={Evolving pathway activation from cancer gene expression data using nature-inspired ensemble optimization}, author={Wang, Xubin and Wang, Yunhe and Ma, Zhiqiang and Wong, Ka-Chun and Li, Xiangtao}, journal={Expert Systems with Applications}, volume={248}, pages={123469}, year={2024}, publisher={Elsevier}}"
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  {
    "id": "fwpso2022", "num": "4", "type": "C", "year": 2022,
    "title": "A Feature Weighting Particle Swarm Optimization Method to Identify Biomarker Genes",
    "authors": ["Xubin Wang", "Weijia Jia"], "firstAuthorIdx": 0, "corrIdx": [],
    "venue": "2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), 830-834, 2022", "tags": ["CCF B"],
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    "bibtex": "@inproceedings{wang2022feature, title={A feature weighting particle swarm optimization method to identify biomarker genes}, author={Wang, Xubin and Jia, Weijia}, booktitle={2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)}, pages={830--834}, year={2022}, organization={IEEE}}"
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    "id": "ccdc2022", "num": "3", "type": "C", "year": 2022,
    "title": "Exploring Cancer Biomarker Genes from Gene Expression Data via Nature-inspired Multiobjective Optimization",
    "authors": ["Huimin Gao", "Chuang Bian", "Xubin Wang", "Xiangtao Li", "Yunhe Wang"], "firstAuthorIdx": 2, "corrIdx": [],
    "venue": "2022 34th Chinese Control and Decision Conference (CCDC), 5000-5007, 2022", "tags": ["Others"],
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    "bibtex": "@inproceedings{gao2022exploring, title={Exploring cancer biomarker genes from gene expression data via natureinspired multiobjective optimization}, author={Gao, Huimin and Bian, Chuang and Wang, Xubin and Li, Xiangtao and Wang, Yunhe}, booktitle={2022 34th Chinese Control and Decision Conference (CCDC)}, pages={5000--5007}, year={2022}, organization={IEEE}}"
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    "id": "scefsc2022", "num": "2", "type": "J", "year": 2022,
    "title": "scEFSC: Accurate Single-cell RNA-seq Data Analysis via Ensemble Consensus Clustering Based on Multiple Feature Selections",
    "authors": ["Chuang Bian", "Xubin Wang", "Yanchi Su", "Yunhe Wang", "Ka-Chun Wong", "Xiangtao Li"], "firstAuthorIdx": 1, "corrIdx": [],
    "venue": "Computational and Structural Biotechnology Journal, 20:2181-2197, 2022", "tags": [],
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    "bibtex": "@article{bian2022scefsc, title={scEFSC: Accurate single-cell RNA-seq data analysis via ensemble consensus clustering based on multiple feature selections}, author={Bian, Chuang and Wang, Xubin and Su, Yanchi and Wang, Yunhe and Wong, Ka-chun and Li, Xiangtao}, journal={Computational and Structural Biotechnology Journal}, volume={20}, pages={2181--2197}, year={2022}, publisher={Elsevier}}"
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    "id": "sawde2022", "num": "1", "type": "J", "year": 2022, "selected": true, "selectedOrder": 7,
    "title": "A Self-adaptive Weighted Differential Evolution Approach for Large-scale Feature Selection",
    "authors": ["Xubin Wang", "Yunhe Wang", "Ka-Chun Wong", "Xiangtao Li"], "firstAuthorIdx": 0, "corrIdx": [],
    "venue": "Knowledge-Based Systems, 235, 107633, 2022", "tags": ["SCI I", "IF 2022: 8.8", "100+ Citations"],
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    "bibtex": "@article{wang2022selfadaptive, title={A self-adaptive weighted differential evolution approach for large-scale feature selection}, author={Wang, Xubin and Wang, Yunhe and Wong, Ka-Chun and Li, Xiangtao}, journal={Knowledge-Based Systems}, volume={235}, pages={107633}, year={2022}, publisher={Elsevier}}"
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