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
  1. Reliability analysis for linear multi-state (n, f, k) and 怈n, f, k怉 systems
    Shuaihao He, Chaonan Wang#, Zhitao Wu, Quanlong Guan
    Reliability Engineering & System Safety 2026 | [ HTML ]
  2. GraphRAG-Induced Dual Knowledge Structure Graphs for Personalized Learning Path Recommendation
    Xinghe Cheng, Zihan Zhang, Jiapu Wang, Liangda Fang#, Chaobo He, Quanlong Guan# , Shirui Pan, and Weiqi Luo
    Proceedings of the AAAI Conference on Artificial Intelligence 2026 | [ HTML ]
  3. Generating In-Distribution Counterfactual Explanation for Graph Neural Networks
    Linmao Chen, Chaobo He#, Junwei Cheng, Chunying Li, Quanlong Guan
    Proceedings of the AAAI Conference on Artificial Intelligence 2026 | [ HTML ]
  4. Manifold-aware triple cooperative multi-population differential evolution with reinforcement learning for irregular 3D UAV path planning
    Yunhui Zhang, Guanglong Du#, Hao Tang, Ziwei Wang, Xueqian Wang, Cuifeng Du, Quanlong Guan , and Xiaojian Qiu
    Knowledge-Based Systems 2026 | [ HTML ]
  5. Beyond binary outcomes: Evaluating and mitigating bias in national standardized test score prediction
    Lin Li, Namrata Srivatava, Jia Rong, Quanlong Guan , Dragan GaÅ”ević, and Guanliang Chen#
    Computers and Education: Artificial Intelligence 2026 | [ HTML ]
2025
  1. A framework for vision-based robotic grasping and sorting in cluttered environments
    Chuxin Chen, Jiaqi Wang, Jingwei Liu, Guanglong Du#, Xiaojun Zhu, Quanlong Guan , and Xiaojian Qiu
    Industrial Robot: the international journal of robotics research and application 2025 | [ HTML ]
  2. 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 ]
  3. 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 ]
  4. 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 ]
  5. 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 ]
  6. 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 ]
  7. 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 ]
  8. 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 ]
  9. 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 ]
  10. 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 ]
  11. 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 ]
  12. 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 ]
  13. 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 ]
  14. 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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