Publications

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Preprints

  • Reproducible Vision-Language Models Meet Concepts Out of Pre-Training. Ziliang Chen,Ā Xin Huang,Ā Xiaoxuan Fan,Ā Keze Wang,Ā Yuyu Zhou,Ā Quanlong Guan,Ā Liang Lin. [arxiv]
  • Automatic Verification of Linear Integer Planning Programs via Forgetting in LIAUPF. Liangda Fang, Shikang Chen, Xiaoman Wang, Xiaoyou Lin, Chenyi Zhang, Qingliang Chen, Quanlong Guanāˆ—, Kaile Suā€ .
  • [Doi] [code]

Selected Papers

2026
    2025
    1. A Syntactic Approach to Computing Complete and Sound Abstraction in the Situation Calculus
      Liangda Fang, Xiaoman Wang, Zhang Chen, Kailun Luo, Zhenhe Cui, Quanlong Guan#
      Proceedings of the Association for the Advancement of Artificial Intelligence, AAAI-25 2025 | [ HTML ]
    2. Efficient reliability analysis of generalized k-out-of-n phased-mission systems
      Guizhuang Chen, Yuliang Hu, Chaonan# Wang, Zhitao Wu, Wenjing Rong, Quanlong Guan
      Reliability Engineering & System Safety 2025 | [ HTML ]
    3. KVFKT: A New Horizon in Knowledge Tracing with Attention-Based Embedding and Forgetting Curve Integration
      Quanlong Guan , Xiuliang Duan#, Kaiquan Bian, Guanliang Chen, Jianbo Huang, Zhiguo Gong, and Liangda Fang
      Proceedings of the 31st International Conference on Computational Linguistics, COLING-25 2025 | [ HTML ]
    4. An anti-parallelogram ring four-array rolling mechanism with multiple rolling gaits for mobile robots
      Zhiyuan Xun, Guanglong Du, Wenbo Zhu, Wei Yu, Changjiang Liu, Jun Wang, Quanlong Guan#
      Mechanical Sciences 2025 | [ HTML ]
    5. An Efficient and Multi-Dimensional Privacy-Preserving Platoon Communication Scheme in Vehicular Networks
      Nuo Xu, Zhiquan Liu#, Xuming Han, Quanlong Guan , Heng Sun, Xiujie Huang, and Jianfeng Ma
      IEEE Transactions on Intelligent Transportation Systems 2025 | [ HTML ]
    6. Reliability analysis of IoV-based vehicle monitoring systems subject to cascading probabilistic common cause failures
      Chaonan Wang, Yingxi Lie, Yuchang Mo, Quanlong Guan
      Reliability Engineering & System Safety 2025 | [ HTML ]
    7. Phase combination for reliability analysis of dynamic k-out-of-n Phase-AND mission systems
      Chaonan Wang, Shenghui Luo, Guizhuang Chen, Zhitao Wu, Wenjing Rong, Quanlong Guan
      Reliability Engineering & System Safety 2025 | [ HTML ]
    8. Explainable exercise recommendation with knowledge graph
      Quanlong Guan , Xinghe Cheng#, Fang Xiao, Zhuzhou Li, Chaobo He, Liangda Fang, Guanliang Chen#, Zhiguo Gong, and Weiqi Luo
      Neural Networks 2025 | [ HTML ]
    9. Rethinking Variational Bayes in Community Detection from Graph Signal Perspective
      Junwei Cheng, Yong Tang, Chaobo He, Pengxing Feng, Kunlin Han, Quanlong Guan
      IEEE Transactions on Knowledge and Data Engineering 2025 | [ HTML ]
    10. Signed graph embedding via multi-order neighborhood feature fusion and contrastive learning
      Chaobo He, Hao Cheng, Jiaqi Yang, Yong Tang, Quanlong Guan#
      Neural Networks 2025 | [ HTML ]
    11. Task Offloading Based on the Fusion of Model-and Data-Driven Intelligence for Vehicular Edge Computing Networks
      Xiujie Huang, Yuhao Chen, Zhiquan Liu, Shancheng Zhao, Zhetao Li, Renzhang Chen, Quanlong Guan#
      IEEE Transactions on Intelligent Transportation Systems 2025 | [ HTML ]
    12. Can AI support human grading? Examining machine attention and confidence in short answer scoring
      Yuheng Li, Mladen Raković, Namrata Srivastava, Xinyu Li, Quanlong Guan# , Dragan GaÅ”ević, and Guanliang Chen#
      Computers & Education 2025 | [ HTML ]
    13. HCKGL: Hyperbolic collaborative knowledge graph learning for recommendation
      Huijuan Hu, Chaobo He#, Chen Xinran, Quanlong Guan
      Neurocomputing 2025 | [ HTML ]
    2024
    1. Boost Social Recommendation via Adaptive Denoising Network
      Xinran Chen, Quanlong Guan , and Chaobo He#
      Companion Proceedings of the ACM on Web Conference 2024, WWW, Singapore 2024 | [ HTML ]
    2. Generating Privacy-preserving Educational Data Records with Diffusion Model
      Quanlong Guan , Yanchong Yu, Xiujie Huang#, Liangda Fang#, Chaobo He, Lusheng Wu#, Weiqi Luo, and Guanliang Chen
      Companion Proceedings of the ACM on Web Conference 2024, WWW, Singapore 2024 | [ HTML ]
    3. On the Logic of Theory Change Iteration of KM-Update, Revised
      Liangda Fang, Tong Zhu, Quanlong Guan# , Junming Qiu#, Zhao-Rong Lai, Weiqi Luo, and Hai Wan
      Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, IJCAI-24 2024 | [ HTML ]
    4. A Multi-Valued Decision Diagram-Based Approach to Constrained Optimal Path Problems over Directed Acyclic Graphs
      Mingwei Zhang, Liangda Fang#, Zhenhao Gu, Quanlong Guan# , and Yong Lai
      Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, IJCAI-24 2024 | [ HTML ]
    5. Transformer Model with Multi-Type Classification Decisions for Intrusion Attack Detection of Track Traffic and Vehicle
      Quanlong Guan , Tian Zhang, Yu Qin, Yuyu Zhou, Yangguang Zhu, Yuansheng Zhong, Xiujie Huang#, Zhifei Duan, Zhefu Li, Changjiang Liu, and Xiaofeng Wu
      ICASSP 2024, Republic of Korea, April 14-19 2024 | [ HTML ]
    6. Deformation And Penetration Hybrid Detection-Net For Parcels Inspection In Industrial Supply Chain
      Zhi Chen, Cuifeng Du, Xiujie Huang, Zelong Lin, Yuyu Zhou, Quanlong Guan# , Zhefu Li, Shuanghuan Lv, Xiaofeng Wu, and Xiaotian Zhuang
      ICASSP 2024, Republic of Korea, April 14-19 2024 | [ HTML ]
    7. Unveiling the Tapestry of Automated Essay Scoring: A Comprehensive Investigation of Accuracy, Fairness, and Generalizability
      Kaixun Yang, Mladen Rakovic, Yuyang Li, Quanlong Guan# , Dragan Gasevic, and Guanliang Chen#
      Thirty-Eighth AAAI Conference on Artificial Intelligence, AAAI 2024, Vancouver, Canada 2024 | [ HTML ]
    8. Diagnosing and Rectifying Fake OOD Invariance: A Restructured Causal Approach
      Ziliang Chen, Yongsen Zheng, Zhao-Rong Lai, Quanlong Guan# , and Liang Lin
      Thirty-Eighth AAAI Conference on Artificial Intelligence, AAAI 2024, Vancouver, Canada 2024 | [ HTML ]
    9. On the role of logical separability in knowledge compilation
      Junming Qiu, Wenqing Li, Liangda Fang#, Quanlong Guan# , Zhanhao Xiao, Zhao-Rong Lai, and Qian Dong
      Artif. Intell. 2024 | [ HTML ]
    2023
    1. A Retrospect to Multi-prompt Learning across Vision and Language
      Ziliang Chen, Xin Huang, Quanlong Guan# , Liang Lin, and Weiqi Luo
      International Conference on Computer Vision (ICCV) 2023 | [ HTML ]
    2. Face2Nodes: Learning facial expression representations with relation-aware dynamic graph convolution networks
      Fan Jiang, Qionghao Huang, Xiaoyong Mei#, Quanlong Guan , Yaxin Tu, Weiqi Luo, and Changqin Huang#
      Information Sciences 2023 | [ HTML ]
    3. KG4Ex: An Explainable Knowledge Graph-Based Approach for Exercise Recommendation
      Quanlong Guan , Fang Xiao, Xinghe Cheng, Liangda Fang#, Ziliang Chen, Guanliang Chen, and Weiqi Luo
      Proceedings of the 32nd ACM International Conference on Information and Knowledge Management. 2023 | [ HTML ]
    4. A Deep Conditional Generative Approach for Constrained Community Detection
      Chaobo He, Junwei Cheng, Quanlong Guan , Xiang Fei, Hanchao Li, and Yong Tang#
      Proceedings of the 32nd ACM International Conference on Information and Knowledge Management 2023 | [ HTML ]
    5. Efficient performability analysis of dynamic multi-state k-out-of-n: G systems
      Chaonan Wang, Shuli Wang, Quanlong Guan , and Liudong Xing#
      Reliability Engineering & System Safety 2023 | [ HTML ]
    6. Phase reduction for efficient reliability analysis of dynamic k-out-of-n phased mission systems
      Chaonan Wang, Liudong Xing#, Jingui Yu, Quanlong Guan , Chunhui Yang, and Min Yu
      Reliability Engineering & System Safety 2023 | [ HTML ]
    7. Reliability analysis of dynamic voting phased-mission systems
      Chaonan Wang, Liudong Xing#, Yujie Su, Quanlong Guan , Bo Tang, and Yuliang Hu
      Reliability Engineering & System Safety 2023 | [ HTML ]
    8. BI-FERH: Blockchain-IoT Based Framework for Securing Smart Hotel
      Quanlong Guan , Jiawei Lei, Chaonan Wang, Guanggang Geng, Yuansheng Zhong, Liangda Fang, Xiujie Huang#, and Weiqi Luo
      Computer Science and Information Systems 2023 | [ HTML ]
    9. Analysis of cascading probabilistic common cause failures
      Chaonan Wang, Yingxi Lie, Liudong Xing#, Quanlong Guan , Chunhui Yang, and Min Yu
      Quality and Reliability Engineering International 2023 | [ HTML ]
    10. Generalizable Automatic Short Answer Scoring viaĀ Prototypical Neural Network
      Zijie Zeng, Lin Li, Quanlong Guan , Dragan GaÅ”ević, and Guanliang Chen#
      Artificial Intelligence in Education 2023 | [ HTML ]
    11. A Practical Framework of Blockchain in IoT Information Management
      Quanlong Guan , Jiawei Lei, Chaonan Wang, Guanggang Geng, Yuansheng Zhong, Liangda Fang, Xiujie Huang#, and Weiqi Luo
      2023 IEEE International Conference on Systems, Man, and Cybernetics (SMC) 2023 | [ HTML ]
    12. Self-supervised community detection in multiplex networks with graph convolutional autoencoder
      Xingyu Liu, Junwei Cheng, Hao Cheng, Chaobo He#, Quanlong Guan , and Qimai Chen
      2023 26th International Conference on Computer Supported Cooperative Work in Design (CSCWD) 2023 | [ HTML ]
    13. Few-shot Learning for Quality Detection of Logistical Parcels
      Zhi Chen, Quanlong Guan , Xiuliang Duan, Hongbin Zhong, Zhefu Li#, Shuanghuan Lv, Jian Li, and Yuyu Zhou
      2023 11th International Conference on Information Systems and Computing Technology (ISCTech) 2023 | [ HTML ]
    14. NCDFSA: Neural Cognitive Diagnostic Focusing on Studentsā€™ Attention to Knowledge Concepts
      Guoxiong Wei#, Zhenyu He#, Quanlong Guan , Liangda Fang, Weiqi Luo, and Guanliang Chen
      2023 IEEE International Conference on Systems, Man, and Cybernetics (SMC) 2023 | [ HTML ]
    2022
    1. Knowledge Tracing Model with Learning and Forgetting Behavior
      Mingzhi Chen, Quanlong Guan# , Yizhou He, Zhenyu He, Liangda Fang, and Weiqi Luo
      Proceedings of the 31st ACM International Conference on Information & Knowledge Management 2022 | [ HTML ]
    2. Is the latest the greatest? A comparative study of automatic approaches for classifying educational forum posts
      Lele Sha, Mladen Raković, Jionghao Lin, Quanlong Guan , Alexander Whitelock-Wainwright, Dragan GaÅ”ević, and Guanliang Chen#
      IEEE Transactions on Learning Technologies 2022 | [ HTML ]
    3. Cognitive Diagnosis Focusing on Knowledge Concepts
      Sheng Li, Quanlong Guan# , Liangda Fang, Fang Xiao, Zhenyu He, Yizhou He, and Weiqi Luo
      Proceedings of the 31st ACM International Conference on Information & Knowledge Management 2022 | [ HTML ]
    4. LDGC-SR: Integrating long-range dependencies and global context information for session-based recommendation
      Nan Qiu, BoYu Gao#, Huawei Tu, Feiran Huang, Quanlong Guan , and Weiqi Luo#
      Knowledge-Based Systems 2022 | [ HTML ]
    5. Multitrend conditional value at risk for portfolio optimization
      Zhao-Rong Lai, Cheng Li, Xiaotian Wu, Quanlong Guan# , and Liangda Fang
      IEEE Transactions on Neural Networks and Learning Systems 2022 | [ HTML ]
    6. Reliability analysis of smart home sensor systems subject to competing failures
      Chaonan Wang, Qiongyang Liu, Liudong Xing#, Quanlong Guan , Chunhui Yang, and Min Yu
      Reliability Engineering & System Safety 2022 | [ HTML ]
    7. Molecular substructure graph attention network for molecular property identification in drug discovery
      Xian-bin Ye, Quanlong Guan , Weiqi Luo, Liangda Fang, Zhao-Rong Lai#, and Jun Wang
      Pattern Recognition 2022 | [ HTML ]
    2021
    1. Studentsā€™ experience of online learning during the COVIDā€19 pandemic: A provinceā€wide survey study
      Lixiang Yan, Alexander Whitelockā€Wainwright, Quanlong Guan , Gangxin Wen, Dragan GaÅ”ević, and Guanliang Chen#
      British Journal of Educational Technology 2021 | [ HTML ]
    2. A fast and accurate reliability approximation method for heterogeneous cold standby sparing systems
      Chaonan Wang, Xiaolei Wang, Liudong Xing#, Quanlong Guan , Chunhui Yang, and Min Yu
      Reliability Engineering & System Safety 2021 | [ HTML ]
    3. A large-scale study of android malware development phenomenon on public malware submission and scanning platform
      Heqing Huang, Cong Zheng, Junyuan Zeng, Wu Zhou, Sencun Zhu, Peng Liu, Ian Molloy, Suresh Chari, Quanlong Guan# , and Ce Zhang
      IEEE Transactions on Big Data 2021 | [ HTML ]
    2020
    1. Dynamic minimization of bi-kronecker functional decision diagrams
      Xuanxiang Huang, Haipeng Che, Liangda Fang#, Qingliang Chen, Quanlong Guan , Yuhui Deng, and Kaile Su
      2020 | [ HTML ]
    2019
    1. Mystique: A Fine-Grained and Transparent Congestion Control Enforcement Scheme
      Yuxiang Zhang#, Lin Cui#, Fung Po Tso, Quanlong Guan , Weijia Jia#, and Jipeng Zhou
      IEEE Transactions on Network and Service Management 2019 | [ HTML ]
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