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2026\u5e74<\/h3>\n\n\n\n
  1. Rui Jin, Yong Liao, “Simulating Advanced Social Botnets: A Framework for Behavior Realism and Coordinated Stealth<\/a>\u201d,<\/strong> Information<\/em>. 2026; 17(1):27. https:\/\/doi.org\/10.3390\/info17010027.<\/li>
  2. Peirou Liang, Meng Yang, Zhiqian Wu, Peng Yuan Zhou, Yong Liao, “Disco:Disrupting Semantic Consistency for Transferable Cross-modal Adversarial Attacks\u201d,<\/strong> <\/em>MMM 2026, 32nd International Conference on Multimedia Modeling, January 29-31, 2026, Prague, Czech Republic.<\/li><\/ol>\n\n\n\n

    2025\u5e74<\/h3>\n\n\n\n
    1. Lang Qin\u3001Xiaorui Jiang\u3001Yu Gao\u3001Yong Liao, “Federated Deep Incomplete Multi-View Clustering with Heterogeneity-Matching and Attention-Based Imputation”<\/em><\/strong>, ACM Multimedia Asia 2025, Kuala Lumpur, Malaysia, December 9 \u2013 12, 2025.<\/li>
    2. Haoran Li, Yuli Tian, Kun Lan, Yong Liao, Lin Wang, Pan Hui , Peng Yuan Zhou, “DreamScene: 3D Gaussian-based End-to-end Text-to-3D Scene Generation”<\/em><\/strong>, IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI).<\/li>
    3. Yifang Zhao, Weimin Fu, Yi-Xiang Hu, Shijie Li, Xiaolong Guo, Yier Jin, “Leveraging Large Language Models for Secure Hardware Verification and Analysis”<\/em><\/strong>, AsianHOST 2025.<\/li>
    4. Xiaorui Jiang, Buyun He, Peng Yuan Zhou, Xinyue Chen, Jingcai Guo, Jie Xu, Yong Liao, “A Unified Framework to BRIDGE Complete and Incomplete Deep Multi-View Clustering under Non-IID Missing Patterns”<\/em><\/strong>, International Conference on Computer Vision (ICCV) 2025, Honolulu, Hawaii, Oct 19 \u2013 23th, 2025.<\/li>
    5. Siqing Zhang, Yong Liao, Pengyuan Zhou, “\u03bb-SecAgg: Partial Vector Freezing for Lightweight Secure Aggregation in Federated Learning<\/a>“<\/em><\/strong>, The 31st IEEE International Conference on Parallel and Distributed Systems (ICPADS 2025).<\/li>
    6. Cuifu Jin, Yao Tian and Yong Liao, “Research on Low-Cost Persona Construction Based on Prompt Fine-Tuning of Low-to-High Parameter Large Models and Machine Learning<\/em><\/strong>“, CSAI 2025, The 9th International Conference on Computer Science and Artificial Intelligence, December 12-15, 2025, Beijing, China.<\/li>
    7. Xiaolu Li, Yuxiang Shang, Xiaorui Jiang, Chi Zhang, and Yong Liao, “Do the Instruction-fine-tuned Large Language Models Challenge Flawed Instructions? A Study on Over-Compliance and Hallucinations\u201d<\/strong><\/em>, the 22nd Pacific Rim International Conference on Artificial Intelligence (PRICAI 2025), November 17-21, 2025.<\/li>
    8. Jiamei Ren, Hang Yang, Yong Liao, “BlazeVMM: Fast Startup of ARM CCA MicroVMs for Confidential Serverless Computing<\/a><\/strong>\u201d<\/em>, CAICE ’25: Proceedings of the 4th International Conference on Computer, Artificial Intelligence and Control Engineering, Pages 859 – 863, June 2, 2025.<\/li>
    9. Rui Jin, Yong Liao, “<\/em><\/strong>CAPTCHA Farm Detection and User Authentication via Mouse-trajectory Similarity Measurement<\/strong><\/a><\/em>\u201d<\/em><\/strong>, Multimedia Systems, 31(5): 323, 21 August 2025.<\/li>
    10. Renjie Zhou, Haoran Ye, Wan Jian, Yong Liao, “HRSTORY: Historical News Review Based Online Story Discovery<\/a>\u201d<\/em><\/strong>, ACM KDD 2025-The 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Toronto, ON, Canada, August 3~7, 2025.<\/li>
    11. Wei Tang, Yixin Cao, Yang Deng, Jiahao Ying, Bo Wang, Yizhe Yang, Yuyue Zhao, Qi Zhang, Xuanjing Huang, Yu-Gang Jiang, Yong Liao, “<\/em><\/strong>EvoWiki: Evaluating LLMs on Evolving Knowledge<\/strong><\/a><\/em>\u201d<\/strong><\/em><\/strong>, Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics, ACL 2025.<\/li>
    12. Lin Huang, Yao Tian, Jikang Duan, Mengzhu Zhang, Nan Li, Rongrong Sheng, Zixu Wang, Yiming Liu, and Yong Liao, “Negative Sentiment Analysis on Chinese Social Media with LLMs<\/a>\u201d<\/em><\/strong>, the 14th International Conference on Computer Engineering and Networks, May 16, 2025.<\/li>
    13. Botao Xiong, Yong Liao, “Audio-driven Talking-face Synthesis based on 3D Gaussian”, 2nd International Conference on Generative Artificial Intelligence and Informat Securit (GAIIS 2025).<\/li>
    14. Rui Jin, Yong Liao, “Prevention Is Better than Cure: Exposing the Vulnerabilities of Social Bot Detectors with Realistic Simulations<\/a>\u201d<\/strong><\/em><\/strong>, Applied Sciences 15, no. 11: 6230, June 1, 2025.<\/li>
    15. Yue Liu, Qinglang Guo, Chunyao Yang, Yong Liao, “TIPS: Tailored Information Extraction in Public Security Using Domain-Enhanced Large Language Model<\/a>\u201d<\/strong>, Computers, Materials and Continua, Volume 83, Issue 2, 16 April 2025, Pages 2555-2572.<\/li>
    16. Buyun He, Xiaorui Jiang, Qi Wu, Hao Liu, Yingguang Yang, Yong Liao, “Boosting Bot Detection via Heterophily-Aware Representation Learning and Prototype-Guided Cluster Discovery<\/a>\u201d<\/strong><\/em><\/strong>, Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining V.2 (KDD ’25), August 3–7, 2025, Toronto, ON, Canada.<\/li>
    17. Keyu Huang, Yong Liao, “Research on a mixed expert model capability enhancement method based on chain-of-thought reasoning and Prompt optimisation<\/a>\u201d<\/em><\/strong>, 2025 2nd International Conference on Data Mining and Natural Language Processing (DMNLP 2025), April 25-27, 2025.<\/li>
    18. Xiujun Wang , Zhi Liu , Xiaokang Zhou , Yong Liao , Han Hu , Xiao Zheng , Jie Li, “A Near-Optimal Category Information Sampling in RFID Systems<\/a><\/em>\u201d<\/strong>, IEEE Transactions on Mobile Computing.<\/li>
    19. Long Ma, Zhiyuan Yan, Qinglang Guo, Yong Liao, Haiyang Yu, Pengyuan Zhou, “Detecting AI-Generated Video via Frame Consistency<\/a><\/em>\u201d<\/strong>, IEEE International Conference on Multimedia & Expo 2025, ICME 2025.<\/li>
    20. Shijia Chen, Yong Liao, “DMoLE: Dynamic Mixture of LoRA Experts for Spam Email Detection<\/a>“<\/em><\/strong>, 2nd International Conference on Machine Intelligence and Digital Applications(MIDA 2025).<\/li>
    21. Xiaorui Jiang, Yu Gao, Hengwei Xu, Qi Zhang, Yong Liao, Peng Yuan Zhou, “Knowledge Rumination for Client Utility Evaluation in Heterogeneous Federated Learning<\/em><\/a>\u201d<\/strong>, IEEE International Conference on Multimedia & Expo 2025, ICME 2025.<\/li>
    22. Haojie Wu, Yong Liao, Reza Hadi Mogavi, Pan Hui, Peng Yuan Zhou, “Deepfake In the Metaverse: An Outlook Survey<\/a>\u201d<\/em><\/strong>, in Proceedings of the 27th<\/sup> International Conference on Human-Computer Interaction (HCII 2025), Gothenburg, Sweden, June 22~27, 2025.<\/li><\/ol>\n\n\n\n

      2024\u5e74<\/h3>\n\n\n\n
      1. Buyun He, Yingguang Yang, Qi Wu, Hao Liu, Renyu Yang, Hao Peng, Xiang Wang, Yong Liao, Pengyuan Zhou, “<\/strong>Dynamicity-aware social bot detection with dynamic graph transformers<\/em><\/strong><\/a>\u201d, IJCAI ’24: Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence.<\/li>
      2. Yue Liu, Qinglang Guo, Yong Liao, “TIPS: Tailored Information Extraction in Public Security using Domain-Enhanced Large Language Model<\/a><\/em><\/strong>\u201d, In Proceedings of CENet 2024: International Conference on Computer Engineering and Networks. (Best Paper Award)<\/li>
      3. Meng Shen, Zhiheng Luo, Yong Liao, “Comprehensive Out-of-context Misinformation Detection via Global Information Enhancement<\/a><\/em><\/strong>\u201d, In Proceedings of AAIA 2024: 2nd International Conference on Advances in Artificial Intelligence and Applications, Wuhan, China, Dec 22\u201322, 2024.<\/li>
      4. Mengzhuo Guo, Xiaorui Jiang, Yong Liao, “Improving Zero-Shot Stance Detection by Infusing Knowledge from Large Language Models<\/em>\u201d<\/a><\/strong>, Advanced Intelligent Computing Technology and Applications (ICIC 2024).<\/li>
      5. Juanming Shi, Qinglang Guo, Yong Liao, Shenglin Liang, “LegalGPT: Legal Chain of Thought for the Legal Large Language Model Multi-agent Framework<\/a><\/em><\/strong>\u201d, in Proceedings of Advanced Intelligent Computing Technology and Applications: 20th International Conference, ICIC 2024, Tianjin, China, August 5\u20138, 2024. [pdf]<\/strong><\/a><\/li>
      6. Siqing Zhang, Yuchen Ding, Wei Tang, Wei Sun, Yong Liao, Peng Yuan Zhou, “Privacy-Preserving Orthogonal Aggregation for Guaranteeing Gender Fairness in Federated Recommendation<\/a><\/em><\/strong>\u201d, The 18th ACM International Conference on Web Search and Data Mining (WSDM 2025).<\/li>
      7. Juanming Shi, Qinglang Guo, Yong Liao, Yuxing Wang, Shijia Chen & Shenglin Liang, “Legal-LM: Knowledge Graph Enhanced Large Language Models for Law Consulting<\/a><\/em><\/strong>\u201d, in Proceedings of ICIC 2024, Advanced Intelligent Computing Technology and Applications.<\/li>
      8. Tong, Chengwei; Guo, Mengzhuo; Tian, Yao; Zhang, Mengzhu; Li, Yangyang; Zhu, Chunyan; Bao, Jie; Sheng, Rongrong; Li, Qianqian; Liao, Yong, “ADViRDS: Assessment of Domestic Violence Risk Dataset and Scale on Social Media<\/a><\/em><\/strong>\u201d, The 46th Annual Meeting of the Cognitive Science Society (CogSci 2024).<\/li>
      9. Zhen Chen, Yong Liao, Youpeng Zhao, Zipeng Dai, Jian Zhao, “CuDA2: An Approach for Incorporating Traitor Agents into Cooperative Multi-Agent Systems<\/a><\/em><\/strong>\u201d, IEEE Transactions on Games, June 25, 2024.<\/li>
      10. Di Cao, Yong Liao, Xiuwei Shang, “RealVul: Can We Detect Vulnerabilities in Web Applications with LLM<\/a>?<\/a><\/strong><\/em>\u201d, in Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, EMNLP 2024, Miami, Florida, USA.<\/li>
      11. Yingguang Yang, Qi Wu, Buyun He, Hao Peng, Renyu Yang, Zhifeng Hao, Yong Liao, “SEBot: Structural Entropy Guided Multi-View Contrastive learning for Social Bot Detection<\/a><\/em><\/strong>\u201d, ACM KDD 2024-The 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Barcelona, Spain, August 25~29, 2024. <\/li>
      12. Haoran Li, Long Ma, Haolin Shi, Yanbin Hao, Lechao Cheng, Yong Liao, Pengyuan Zhou, \u201c3D-GOI: 3D GAN Omni-Inversion for Multifaceted and Multi-object Editing<\/strong><\/em><\/a>\u201d, ECCV 2024 – Proceedings of European Conference on Computer Vision, Milano,\u00a0Italy, 2024.<\/li>
      13. Haoran Li, Haolin Shi, Wenli Zhang, Wenjun Wug, Yong Liao, Lin Wang, Lik-Hang LEE, Pengyuan Zhou, “DreamScene: 3D Gaussian-based Text-to-3D Scene Generation via Formation Pattern Sampling<\/a><\/strong><\/em>\u201d, ECCV 2024 – Proceedings of European Conference on Computer Vision, Milano,\u00a0Italy, 2024.<\/li>
      14. Qinglong Huang, Haoran Li, Yanbin Hao, Yong Liao, Pengyuan Zhou, “Noise-NeRF: Hide Information in Neural Radiance Fields using Trainable Noise<\/a><\/strong><\/em>\u201d, Proceedings of the 33rd International Conference on Artificial Neural Networks, Lugano, Switzerland, 2024.<\/li>
      15. Wei Tang, Yixin Cao, Jiahao Ying, Bo Wang, Yuyue Zhao, Yong Liao, Pengyuan Zhou, \u201c<\/strong>A+B: A General Generator-Reader Framework for Optimizing LLMs to Unleash Synergy Potential<\/a><\/strong><\/em>\u201d, Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics, Bangkok, Thailand, 2024.<\/li>
      16. Botao Xiong, Nan Li, Yong Liao, Pengyuan Zhou. “Gamified Alzheimer’s Disease Diagnosis via Virtual Reality<\/a><\/em><\/strong>\u201d,\u00a02024 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops, Mar 24, 2024, Orlando, Florida USA.<\/li>
      17. Jianjian Li, Shengwei Liang, Yong Liao, Hongping Deng, Haiyang Yu, “USTCCTSU at SemEval-2024 Task 1: Reducing Anisotropy for Cross-lingual Semantic Textual Relatedness<\/a><\/em><\/strong>\u201d, 2024 Annual Conference of the North American Chapter of the Association for Computational Linguistics, Mexico City, Mexico.<\/li>
      18. \u6797\u6021\u822a, \u5468\u9e4f\u8fdc, \u5434\u6cbb\u8c26, \u5ed6\u52c7, “\u57fa\u4e8e\u89e6\u53d1\u5668\u9006\u5411\u7684\u8054\u90a6\u5b66\u4e60\u540e\u95e8\u9632\u5fa1\u65b9\u6cd5<\/em><\/a><\/strong>\u201d, \u300a\u4fe1\u606f\u7f51\u7edc\u5b89\u5168\u300b, 2024\u5e74, \u7b2c24\u5377, \u7b2c2\u671f.<\/li>
      19. Yihang Lin, Yong Liao, Zhiqian Wu, Pengyuan Zhou, “Mitigating Backdoors in Federated Learning with FLD<\/em><\/a>\u201d<\/strong>, 2024 5th International Seminar on Artificial Intelligence, Networking and Information Technology (AINIT 2024), Nanjing,China.<\/li>
      20. Hao Liu, Yingguang Yang, Qi Wu, Buyun He, Yong Liao, Pengyuan Zhou, “FacGNN: Multi-Faceted Fairness Enhancement for GNN Through Adversarial and Contrastive Learning<\/a><\/em>\u201d<\/strong>, 2024 International Joint Conference on Neural Networks (IJCNN) – Machine Learning, Pacifico Yokohama, Yokohama, Japan. <\/li><\/ol>\n\n\n\n

        2023\u5e74<\/h3>\n\n\n\n
        1. Bingbing Chen and Yong Liao. “Spatio-Temporal Deep Fusion Graph Convolutional Networks for Crime Prediction<\/a><\/em><\/strong>“. The 7th International Conference on Machine Learning and Soft Computing (ICMLSC 2023)\uff0c January 5-7, 2023\uff0cChongqing, China.<\/li>
        2. Z. Li, S. Feng, J. Shi, Y. Zhou, Y. Liao., “Future event prediction based on temporal knowledge graph embedding<\/a>,” <\/em><\/strong>Computer Systems Science and Engineering, vol. 44, no.3, pp. 2411\u20132423, 2023.<\/li>
        3. Yingguang Yang, Renyu Yang, Hao Peng, Yangyang Li, Tong Li, Yong Liao, Pengyuan Zhou, “FedACK: Federated Adversarial Contrastive Knowledge Distillation for Cross-Lingual and Cross-Model Social Bot Detection<\/a>,”<\/strong> WWW ’23: Proceedings of the ACM Web Conference 2023, April 2023.<\/li>
        4. Yan Shi, Yao Tian, Chengwei Tong, Chunyan Zhu, Qianqian Li, Mengzhu Zhang, Wei Zhao, Yong Liao, Pengyuan Zhou,,“Detect Depression from Social Networks with Sentiment Knowledge Sharing<\/a>,”<\/strong>  Social Media Processing. SMP 2023. Communications in Computer and Information Science, vol 1945. Springer, Singapore. https:\/\/doi.org\/10.1007\/978-981-99-7596-9_10.<\/li>
        5. Reza Hadi Mogavi, Chao Deng, Justin Juho Kim, Pengyuan Zhou, Young D. Kwon, Ahmed Hosny Saleh Metwally, Ahmed Tlili, Simone Bassanelli, Antonio Bucchiarone, Sujit Gujar, Lennart E. Nacke, Pan Hui, “ChatGPT in education: A blessing or a curse? A qualitative study exploring early adopters\u2019 utilization and perceptions,<\/a>“<\/strong> Computers in Human Behavior: Artificial Humans, Volume 2, Issue 1, 2024, ISSN 2949-8821, https:\/\/doi.org\/10.1016\/j.chbah.2023.100027.<\/li>
        6. Q. Guo, X. Chen, P. Zhou and Y. Liao, “Cross-Domain Data Extraction and Knowledge Graph Construction for Dispute Analysis,”<\/a><\/strong> 2023 IEEE 43rd International Conference on Distributed Computing Systems (ICDCS)<\/em>, Hong Kong, Hong Kong, 2023, pp. 959-960, doi: 10.1109\/ICDCS57875.2023.00109.<\/li>
        7. X. Chen, J. Bao, P. Zhou and Y. Liao, “Hierarchical Privacy-Preserved Knowledge Graph<\/a><\/em>,”<\/strong> 2023 IEEE 43rd International Conference on Distributed Computing Systems (ICDCS)<\/em>, Hong Kong, Hong Kong, 2023, pp. 1-2, doi: 10.1109\/ICDCS57875.2023.00097.<\/li>
        8. Pengyuan Zhou, Lik-Hang Lee, Zhi Liu, Hang Qiu, Tristan Braud, Yi (Aaron) Ding, Sasu Tarkoma, Pan Hui, “Metaverse for Connected and Automated Vehicles and Intelligent Transportation Systems<\/a><\/em>,” <\/strong>in IEEE Vehicular Technology Magazine<\/em>, vol. 18, no. 4, pp. 19-21, Dec. 2023, doi: 10.1109\/MVT.2023.3333444. <\/li>
        9. Hengwei Xu, Pengyuan Zhou, Haiyong Xie, Yong Liao, “Mercury: Fast and Optimal Device Placement for Large Deep Learning Models<\/a><\/em>“<\/strong>, ICPP ’23: Proceedings of the 52nd International Conference on Parallel Processing\uff0c August 2023\uff0c Pages 412\u2013422\uff0c https:\/\/doi.org\/10.1145\/3605573.3605603<\/li>
        10. Shuhao Fu, Yong Liao, Pengyuan Zhou, “Training ChatGPT-like Models with In-network Computation<\/a><\/em>“,<\/strong> APNET ’23: Proceedings of the 7th Asia-Pacific Workshop on Networking, June 2023, Pages 206\u2013207, https:\/\/doi.org\/10.1145\/3600061.3603136.<\/li>
        11.  Xi Liu, Long Ma, Zhen Chen, Changgang Zheng, Ren Chen, Yong Liao, Shufan Yang, “A Novel State Space Exploration Method for the Sparse-Reward Reinforcement Learning Environment<\/a><\/em>,”<\/strong> In: Bramer, M., Stahl, F. (eds) Artificial Intelligence XL. SGAI 2023. Lecture Notes in Computer Science(), vol 14381. Springer, Cham. https:\/\/doi.org\/10.1007\/978-3-031-47994-6_18<\/li>
        12. Qinglang Guo, Yong Liao, Zhe Li, Hui Lin, and Shenglin Liang, “Convolutional Models with Multi-Feature Fusion for Effective Link Prediction in Knowledge Graph Embedding<\/a><\/em>,” <\/strong>Entropy<\/em> 25, no. 10: 1472. https:\/\/doi.org\/10.3390\/e25101472<\/li>
        13. Qinglang Guo, Yong Liao, Zhe Li, and Shenglin Liang, “Multi-Modal Representation via Contrastive Learning with Attention Bottleneck Fusion and Attentive Statistics Features<\/a><\/em>,”<\/strong> Entropy<\/em> 25, no. 10: 1421. https:\/\/doi.org\/10.3390\/e25101421<\/li>
        14. Xun Deng, Wenjie Wang, Fuli Feng, Hanwang Zhang, Xiangnan He, Yong Liao, “Counterfactual Active Learning for Out-of-Distribution Generalization<\/a><\/em>,”<\/strong> in Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics, July 2023, Toronto, Canada.<\/li><\/ol>\n\n\n\n

          2022\u5e74<\/h3>\n\n\n\n
          1. Renjie Zhou, Zhongyi Xie, Jian Wan, Jilin Zhang, Yong Liao and Qiang Liu. “Attention and Edge-Label Guided Graph Convolutional Networks for Named Entity Recognition<\/a><\/em><\/strong>”. EMNLP 2022 – The 2022 Conference on Empirical Methods in Natural Language Processing. Abu Dhabi, The United Arab Emirates, December 7\u201311, 2022.<\/li>
          2. Wei Tang, Benfeng Xu, Yuyue Zhao, Zhendong Mao, Yifeng Liu, Yong Liao and Haiyong Xie. “UniRel: Unified Representation and Interaction for Joint Relational Triple Extraction<\/a><\/em><\/strong>”.<\/strong> EMNLP 2022 – The 2022 Conference on Empirical Methods in Natural Language Processing. Abu Dhabi, The United Arab Emirates, December 7\u201311, 2022.<\/li>
          3. Mingjie Sun, Pengyuan Zhou, Hui Tian, Yong Liao, Haiyong Xie. “Spatial-Temporal Attention Network for Crime Prediction with Adaptive Graph Learning<\/em><\/strong>”. ICANN 2022-The 31st International Conference on Artificial Neural Networks, Bristol (UK), September 6-9, 2022.<\/li>
          4. Yingguang Yang, Renyu Yang, Yangyang Li, Kai Cui, Zhiqin Yang, Yue Wang, Jie Xu, Haiyong Xie, “RoSGAS: Adaptive Social Bot Detection with Reinforced Self-Supervised GNN Architecture Search<\/a><\/em><\/strong>“, ACM Transactions on the Web, Volume 17, Issue 3, Article No.: 15, Pages 1 – 31, https:\/\/doi.org\/10.1145\/3572403<\/li>
          5. Sihao Ding, Peng Wu, Fuli Feng, Yitong Wang, Xiangnan He, Yong Liao, Yongdong Zhang. “Addressing Unmeasured Confounder for Recommendation with Sensitivity Analysis<\/a><\/em><\/strong>”. KDD 2022-The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington DC, USA, August 14-18, 2022.<\/li>
          6. Sihao Ding, Fuli Feng, Xiangnan He, Jinqiu Jin, Wenjie Wang, Yong Liao, Yongdong Zhang. “Interpolative Distillation for Unifying Biased and Debiased Recommendation<\/em><\/a><\/strong>”. SIGIR 2022-The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11-15, 2022.<\/li>
          7. Pengyuan Zhou, Hengwei Xu, Lik Hang Lee, Pei Fang, Pan Hui. “Are You Left Out?: An Efficient and Fair Federated Learning for Personalized Profiles on Wearable Devices of Inferior Networking Conditions<\/a><\/em><\/strong>”. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies Volume 6, Issue 2, July 2022.<\/li>
          8. Pengyuan Zhou, Pranvera Kortoci, Yui-Pan Yau, Tristan Braud, Xiujun Wang, Benjamin Finley, Lik-Hang Lee, Sasu Tarkoma, Jussi Kangasharju, Pan Hui. “Augmented Informative Cooperative Perception<\/em><\/a><\/strong>”. <\/strong>IEEE Transactions on Intelligent Transportation Systems, 2022.<\/li>
          9. Sihao Ding, Fuli Feng, Xiangnan He, Yong Liao, Shi Jun, Yongdong Zhang. “Causal Incremental Graph Convolution for Recommender System Retraining<\/em><\/a><\/strong>”. Special Issue: Deep Neural Networks for Graphs: Theory, Models, Algorithms and Applications, IEEE Transactions on Neural Networks and Learning Systems, 2022.<\/li>
          10. Fangmin Shan, Jun Shi, Zhipeng Li, Yangzhao Yang, Yong Liao. “Research on the Application of EMD Decomposition-based AR Model in Popularity Prediction of Public Sentiment on Events<\/em><\/strong>”.<\/strong> In Proceedings of DSDE 2022: International Con-ference on Data Storage and Data Engineering. Sanya, China, Feb. 2022.<\/li>
          11. Zheng Ma, Zhiqiang Hu, Jun Shi, Zhipeng Li, Yang Zhou, Yong Liao, Yangzhao Yang, Zhenyuan Gao and Jie Zhang. “A module based full cycle construction method of domain-specific knowledge graph<\/em><\/strong>”.<\/strong> In Proceedings of the 8th international conference on artificial intelligence and security (ICAIS 2022). Qinghai, China, July 2022.<\/li>
          12. Zhiqiang Hu, Zheng Ma, Jun Shi, Zhipeng Li, Yangzhao Yang, Yong Liao, Zhenyuan Gao, Jie Zhang. “A top-down method of extraction Entity Relationship Triples and obtaining annotated data<\/a><\/em><\/strong>”.<\/strong> In Proceedings of the 8th international conference on artificial intelligence and security (ICAIS 2022). Qinghai, China, July 2022.<\/li>
          13. Yang Zhou, Jun Shi, Zhipeng Li, Yong Liao, Zheng MA, Xuejie Ye and Yang-zhao Yang. “Analysis and Architecture Design of a Large-scale Event-centric Knowledge Graph System for Dispute Resolution<\/a><\/em><\/strong>”.<\/strong> In Proceedings of the 8th international conference on artificial intelligence and security (ICAIS 2022). Qinghai, China, July 2022.<\/li>
          14. Zhipeng Li, Yan Shi, Shanshan Feng, Yong Liao, Jun Shi and Yangzhao Yang. “Future Event Prediction based on Temporal Knowledge Graph Embedding<\/a><\/em><\/strong>”.<\/strong> In Proceedings of the 8th international conference on artificial intelligence and secu-rity (ICAIS 2022). Qinghai, China, July 2022.<\/li>
          15. Wenxiao ZHANG, Sikun LIN, Farshid H. BIJARBOONEH, Hao-Fei CHENG, Tristan BRAUD, Pengyuan ZHOU, Lik-Hang LEE, and Pan HUI. “EdgeXAR: A 6-DoF Camera Multi-target Interaction Framework for MAR with User-friendly Latency Compensation<\/em><\/strong><\/a>”. In Proceedings of the ACM on Human-Computer Interaction (PACM HCI) and the 14th ACM SIGCHI Symposium on Engineering Interactive Computing Systems (EICS), Sophia Antipolis, France, June 2022.<\/li>
          16. \u674e\u5fd7\u9e4f\uff0c\u6768\u9633\u671d\uff0c\u5ed6\u52c7\uff0c\u4fde\u80fd\u6d77\uff0c\u5434\u54f2\uff0c\u8c22\u6d77\u6c38\uff0c\u77f3\u73fa\u3002 “\u6570\u636e\u9a71\u52a8\u7684\u4e8b\u4ef6\u9884\u6d4b\u6280\u672f\u6700\u65b0\u7814\u7a76\u8fdb\u5c55<\/em><\/strong>”\u3002 \u300a\u4fe1\u606f\u5b89\u5168\u5b66\u62a5\u300b<\/li><\/ol>\n\n\n\n

            2021\u5e74<\/h3>\n\n\n\n
            1. \u738b\u9759\uff0c\u949f\u7476\uff0c\u5362\u7476\uff0c\u9648\u51b0\u51b0\uff0c\u6613\u52c7\u3002 \u201c\u7f8e\u519b\u901a\u4fe1\u7f51\u7edc\u4e0e\u4fe1\u606f\u7cfb\u7edf\u53d1\u5c55\u7814\u7a76\u7efc\u8ff0<\/em><\/a><\/strong>”\u3002 \u300a\u4e2d\u56fd\u7535\u5b50\u79d1\u5b66\u7814\u7a76\u9662\u5b66\u62a5\u300b\uff0cVol. 16\uff0cNo. 11\uff0c2021\u5e7411\u6708\uff0cdoi: 10.3969\/j.issn. 1673-5692.2021.11.004\u3002<\/li>
            2. Aleksandr Zavodovski, Lorenzo Corneo, Nitinder Mohan, Suzan Bayhan, Pengyuan Zhou, Walter Wong, Andreas Johnsson, Jussi Kangasharju, “Decentralizing Computation with Edge Computing: Potential and Challenges<\/a><\/em><\/strong>”,<\/em><\/strong> ACM CoNEXT 2021 Interdisciplinary Workshop on (de)Centralization in the Internet (ACM IWCI 2021).<\/li>
            3. Lik-Hang Lee, Tristan Braud, Pengyuan Zhou, Lin Wang, Dianlei Xu, Zijun Lin, Abhishek Kumar, CarlosBermejo, and Pan Hui, “All One Needs to Know about Metaverse: A Complete Survey on Technological Singularity, Virtual Ecosystem, and Research Agenda<\/strong><\/em><\/a>”, http:\/\/dx.doi.org\/10.13140\/RG.2.2.11200.05124\/8<\/a>.<\/li>
            4. Hangjing Zhang, Yuejiang Li, Yan Chen, H. Vicky Zhao, “Smart Evolution for Information Diffusion Over Social Networks<\/strong><\/em>”, IEEE Transactions on Information Forensics and Security, vol.16, pp. 1203-1217, 2021.<\/li>
            5. Dongheng Zhang, Yang Hu, Yan Chen, “MTrack: Tracking Multi-Person Moving Trajectories and Vital Signs with Radio Signals<\/strong><\/em>”, IEEE Internet of Things Journal, vol. 8, no. 5, pp. 3904-3914, March 2021.<\/li>
            6. Yan Chen, Hongyu Deng, Dongheng Zhang, Yang Hu, “SpeedNet: Indoor Speed Estimation with Radio Signals<\/em><\/strong>”, IEEE Internet of Things Journal, vol. 8, no. 4, pp. 2762-2774, Feb. 2021.<\/li>
            7. Xueqi Zhang, Haiyong Xie, Hui Lin.  “HOPE-L: A Lossless Database Watermarking Method in Homomorphic Encryption Domain<\/em><\/strong>”. <\/a>International Conference on Smart City and Informatization. 2021.<\/li>
            8. Xueqi Zhang, Shuo Wang, Chenyu Liu, Min Zhang, Xiaohan Liu, Haiyong Xie. “Thinking in Patch: Towards Generalizable Forgery Detection with Patch Transformation<\/a><\/em><\/strong>”. The Pacific Rim International Conferences on Artificial Intelligence (PRICAI). 2021. <\/li><\/ol>\n\n\n\n

              2020\u5e74<\/h3>\n\n\n\n
              1. Yan Chen, Xiang Su, Yang Hu, Bing Zeng, “Residual Carrier Frequency Offset Estimation and Compensation for Commodity WiFi<\/em><\/strong>”,<\/em><\/strong> IEEE Transactions on Mobile Computing, vol. 19, no. 12, pp. 2891-2902, Dec. 2020\u3002<\/li>
              2. Ying He, Yan Chen, Yang Hu, and Bing Zeng, “WiFi Vision: Sensing, Recognition, and Detection With Commodity MIMO-OFDM WiFi<\/em><\/strong>”,<\/em><\/strong> IEEE Internet of Things Journal, vol. 7, no. 9, pp. 8296-8317, Sept 2020.<\/li>
              3. Yan Chen, Hangjing Zhang, Yang Hu, “<\/em><\/strong>Optimal Power and Bandwidth Allocation for Multiuser Video Streaming in UAV Relay Networks\u201d<\/strong><\/em><\/strong>, IEEE Transactions on Vehicular Technology, vol. 69, no. 6, pp. 6644-6655, June 2020.<\/li>
              4. Chaofan He, Yang Hu, Yan Chen, Xiaopeng Fan, Houqiang Li, Bing Zeng, “<\/em><\/strong><\/em><\/strong>MUcast: Linear Uncoded Multiuser Video Streaming with Channel Assignment and Power Allocation Optimization\u201d<\/strong><\/em><\/strong>,<\/em><\/strong> IEEE Transactions on Circuits and Systems for Video Technology (CSVT), vol.30, no.4, pp.1136-1146, April 2020.<\/li>
              5. Dongheng Zhang, Yang Hu, Yan Chen, Bing Zeng, “<\/em><\/strong>Calibrating Phase Offsets for Commodity WiFi\u201d<\/strong><\/em><\/strong>, IEEE Systems Journal, vol. 14, no.1, pp. 661-664, March 2020.<\/li><\/ol>\n\n\n\n

                2019\u5e74<\/h3>\n\n\n\n
                1. Jian Ni, Shanghang Zhang, and Haiyong Xie. “Dual adversarial semantics-consistent network for generalized zero-shot learning<\/a>\u201d<\/strong><\/em><\/strong>, Advances in Neural Information Processing Systems 32, pp. 6146\u20136157. 2019.<\/li>
                2. Yan Chen, Xuanyu Cao, K. J. Ray Liu, “Community Detection in Networks: A Game-Theoretic Framework<\/a>\u201d<\/strong><\/em><\/strong>, EURASIP Journal on Advances in Signal Processing (2019) 2019.<\/li>
                3. Wei Li, Meng-Lin Ku, Yan Chen, Yichen Wang, and Zhonghua Liang, “<\/em><\/strong>Transmission Policy of Two-Way Relay Networks With Multiple Stochastic Energy Harvesting Nodes\u201d<\/strong><\/em><\/strong>, IEEE ACESS, vol. 7, no.1, pp. 76967-76984, Dec. 2019.<\/li>
                4. Xiang Wang, Xiangnan He, Meng Wang, Fuli Feng & Tat-Seng Chua, “Neural Graph Collaborative Filtering\u201d<\/strong><\/em><\/strong>, SIGIR 2019.<\/li>
                5. Xin Xin, Xiangnan He, Yongfeng Zhang, Yongdong Zhang & Joemon Jose, “Relational Collaborative Filtering: Modeling Multiple Item Relations for Recommendation\u201d<\/strong><\/em><\/strong>,<\/em><\/strong> SIGIR 2019.<\/li><\/ol>\n\n\n\n

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