Publications

2026

  1. 1. KMER: A Heterogeneous Multimodal Benchmark for Knowledge-Conditioned Educational Reasoning
    Quanlong Guan, Xiuliang Duan, Shoufu Zheng, Zhijian Yin, Jianbo Huang, Xiujie Huang, Yuyu Zhou, and Liangda Fang
    In Proceedings of the 26th IEEE International Conference on Data Mining (ICDM-2026) , 2026
    CCF B
  2. 2. Mitigating Evidence Suppression: Bi-level Active Injection for Educational Video Understanding
    Cheng Liu, Yiping Wang, Quanlong Guan*, Chaobo He, Xingyu Zhu, and Liangda Fang
    In Proceedings of the 49th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR-2026) , 2026
    CCF A
  3. 3. Text-Guided Zero-Shot Image Dehazing
    Zhanglu Chen, Zhan Li*, Feng Zhang, Cheng Li, Yixuan Tang, Liangda Fang, Xiaoxi Ren, and Ruijin Guan
    In Proceedings of the IEEE International Conference on Multimedia & Expo 2026 (ICME-2026) , 2026
    CCF B
  4. 4. Vocabulary Scaling Law: Tuning Open-vocabulary Predictors for Their Openness
    Ziliang Chen, Yulu Li, Liangda Fang, Jusheng Zhang, Yongsen Zheng, Quanlong Guan*, and Xipeng Chen
    In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition 2026 (CVPR-2026) , 2026
    CCF A
  5. 5. Membrane Potential Perturbation Dynamic Is Total Variation
    Zhao-Rong Lai, Xiwen Yuan, Ziliang Chen, Liangda Fang, and Yongsen Zheng
    In Proceedings of the 14th International Conference on Learning Representations (ICLR-2026) , 2026
    CCF A
  6. 6. l1 Latent Distance based Continuous-time Graph Representation
    Zhao-Rong Lai, Zheng-Sen Zhou, Liangda Fang, Yongsen Zheng, and Ziliang Chen
    In Proceedings of the 14th International Conference on Learning Representations (ICLR-2026) , 2026
    CCF A
  7. 7. Dynamic Comprehensive Difficulty Knowledge Cells Based on KAN Network and Stable Learning for Knowledge Tracing
    Qintai Hu, Qingpeng Wen, Pengfei Wei*, Bi Zeng, Guang Feng, and Liangda Fang
    Neural Networks ,197 : 108514 , 2026
    CCF B
  8. 8. 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
    In Proceedings of the 40th AAAI Conference on Artificial Intelligence (AAAI-2026) ,197 : 108514 , 2026
    CCF A

2025

  1. 9. PERC: A Prior-Guided Framework for Classifying Long-Content Educational Resources with Imbalanced Category Distributions
    Quanlong Guan, Xiuliang Duan*, Zhi Chen, Xingyu Zhu*, Jianbo Huang*, Xinzhong Liu, Zonglin Liu, and Liangda Fang
    In Proceedings of the 34th Conference on Information and Knowledge Management (CIKM-2025) ,740-749 , 2025
    CCF B
  2. 10. Language Model as Implicit Tree Search
    Ziliang Chen, Zhao-Rong Lai, Yufeng Yang, Liangda Fang, Zhanfu Yang, and Liang Lin*
    In Proceedings of the 41st International Conference on Machine Learning (ICML-2025) ,740-749 , 2025
    CCF A
  3. 11. Improvements to the Generate-and-Complete Approach to Conformant Planning
    Liangda Fang, Min Zhan, Jin Tong, Xiujie Huang*, Ziliang Chen, and Quanlong Guan*
    In Proceedings of the 34th International Joint Conference on Artificial Intelligence (IJCAI-2025) ,8500-8509 , 2025
    CCF A
  4. 12. NR4DER: Neural Re-ranking for Diversified Exercise Recommendation
    Xinghe Cheng, Xufang Zhou, Liangda Fang*, Chaobo He, Yuyu Zhou, Weiqi Luo, Zhiguo Gong, and Quanlong Guan*
    In Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR-2025) ,1738-1747 , 2025
    CCF A
  5. 13. Automatic Verification of Linear Integer Planning Programs via Forgetting in LIAUPF
    Liangda Fang, Shikang Chen, Xiaoman Wang, Xiaoyou Lin, Chenyi Zhang, Qingliang Chen, Quanlong Guan*, and Kaile Su*
    In Proceedings of the 24th International Conference on Autonomous Agents and Multi-Agent Systems (AAMAS-2025) ,722-730 , 2025
    CCF B
  6. 14. A Syntactic Approach to Computing Complete and Sound Abstraction in the Situation Calculus
    Liangda Fang, Xiaoman Wang, Zhang Chen, Kailun Luo, Zhenhe Cui, and Quanlong Guan*
    In Proceedings of the 39th AAAI Conference on Artificial Intelligence (AAAI-2025) ,14911-14921 , 2025
    CCF A
  7. 15. De-singularity Subgradient for the q-th-Powered lp-Norm Weber Location Problem
    Zhao-Rong Lai, Xiaotian Wu, Liangda Fang, Ziliang Chen, and Cheng Li*
    In Proceedings of the 39th AAAI Conference on Artificial Intelligence (AAAI-2025) ,18026-18034 , 2025
    CCF A
  8. 16. 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 ,183 : 106954 , 2025
    CCF B
  9. 17. 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 Fan
    In Proceedings of the 31st International Conference on Computational Linguistics (COLING-2025) ,4399-4409 , 2025
    CCF B

2024

  1. 18. Exact Computation of Network Reliability with Sentential Decision Diagrams
    Delong Li, Jiayu Zeng, Liangda Fang*, Chaonan Wang, Lin Cui, and Quanlong Guan
    In Proceedings of the 35th IEEE International Symposium on Software Reliability Engineering (ISSRE-2024) ,617-628 , 2024
    CCF B
  2. 19. Reason-and-Execute Prompting: Enhancing MultiModal Large Language Models for Solving Geometry Questions
    Xiuliang Duan, Dating Tan, Liangda Fang*, Yuyu Zhou, Chaobo He, Ziliang Chen, Lusheng Wu*, Guanliang Chen, Zhiguo Gong, Weiqi Luo, and Quanlong Guan
    In Proceedings of the 32nd ACM International Conference on Multimedia ,6959-6968 , 2024
    CCF A
  3. 20. 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
    In Proceedings of the 33rd International Joint Conference on Artificial Intelligence (IJCAI-2024) ,3351-3359 , 2024
    CCF A
  4. 21. 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
    In Proceedings of the 33rd International Joint Conference on Artificial Intelligence (IJCAI-2024) ,1979-1988 , 2024
    CCF A
  5. 22. A De-singularity Subgradient Approach for the Extended Weber Location Problem
    Zhao-Rong Lai, Xiaotian Wu, Liangda Fang, and Ziliang Chen*
    In Proceedings of the 33rd International Joint Conference on Artificial Intelligence (IJCAI-2024) ,4370-4379 , 2024
    CCF A
  6. 23. Crowd Counting and Localization in Haze and Rain
    Weijun Yuan, Zhan Li*, Xiaohan Li, Liangda Fang, Qingfeng Zhang, and Zhixiang Qiu
    In Proceedings of 2024 IEEE Conference on Multimedia Expo (ICME-2024) ,4370-4379 , 2024
    CCF B
  7. 24. 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
    In Proceedings of ACM Web Conference 2024 (WWW-2024) ,806-809 , 2024
    CCF A
  8. 25. Multi-trend 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 ,35 (2) : 1545-1558 , 2024
    CCF B
  9. 26. 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
    Artificial Intelligence ,328 : 104077 , 2024
    CCF A
  10. 27. Generalized Strategy Synthesis of Infinite-State Impartial Combinatorial Games via Exact Binary Classification
    Liangda Fang, Meihong Yang, Dingliang Cheng, Yunlai Hao, Quanlong Guan*, and Liping Xiong
    In Proceedings of the 23rd International Conference on Autonomous Agents and Multi-Agent Systems (AAMAS-2024) ,562-570 , 2024
    CCF B

2023

  1. 28. 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
    In Proceedings of the 32nd ACM International Conference on Information and Knowledge Management (CIKM-2023) ,597-607 , 2023
    CCF B

2022

  1. 29. Cognitive Diagnosis Focusing on Knowledge Concepts
    Sheng Li, Quanlong Guan*, Liangda Fang*, Fang Xiao, Zhenyu He, Yizhou He, and Weiqi Luo
    In Proceedings of the 31st ACM International Conference on Information and Knowledge Management (CIKM-2022) ,3272-3281 , 2022
    CCF B
  2. 30. Knowledge Tracing Model with Learning and Forgetting Behavior
    Mingzhi Chen, Quanlong Guan*, Yizhou He, Zhenyu He, Liangda Fang, and Weiqi Luo
    In Proceedings of the 31st ACM International Conference on Information and Knowledge Management (CIKM-2022) ,3863-3867 , 2022
    CCF B
  3. 31. 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 ,128 : 108659 , 2022
    CCF B
  4. 32. Generalized Linear Integer Numeric Planning
    Xiaoyou Lin, Qingliang Chen, Liangda Fang*, Quanlong Guan*, Weiqi Luo, and Kaile Su
    In Proceedings of the 32nd International Conference on Automated Planning and Scheduling (ICAPS-2022) ,241-251 , 2022
    CCF B
  5. 33. Knowledge Compilation Meets Logical Separability
    Junming Qiu, Wenqing Li, Zhanhao Xiao, Quanlong Guan*, Liangda Fang*, Zhao-Rong Lai, and Qian Dong
    In Proceedings of the 36th AAAI Conference on Artificial Intelligence ,5851-5860 , 2022
    CCF A

2020

  1. 34. Dynamic Minimization of Bi-Kronecker Functional Decision Diagrams
    Xuanxiang Huang, Haipeng Che, Liangda Fang, Qingliang Chen, Quanlong Guan, Yuhui Deng, and Kaile Su
    In Proceedings of 2020 IEEE/ACM International Conference on Computer Aided Design (ICCAD-2020) ,5851-5860 , 2020
    CCF B
  2. 35. Loss Control with Rank-one Covariance Estimate for Short-term Portfolio Optimization
    Zhao-Rong Lai, Liming Tan, Xiaotian Wu, and Liangda Fang*
    Journal of Machine Learning Research ,21 : 1-37 , 2020
    CCF A
  3. 36. Automatic Synthesis of Generalized Winning Strategies of Impartial Combinatorial Games Using SMT Solvers
    Kaisheng Wu, Liangda Fang*, Liping Xiong, Zhao-Rong Lai, Yong Qiao, Kaidong Chen, and Fei Rong
    In Proceedings of the 29th International Joint Conference on Artificial Intelligence (IJCAI-2020) ,1703-1711 , 2020
    CCF A
  4. 37. Automatic Synthesis of Generalized Winning Strategies of Impartial Combinatorial Games
    Kaisheng Wu, Yong Qiao, Kaidong Chen, Fei Rong, Liangda Fang*, Zhao-Rong Lai, Qian Dong, and Liping Xiong
    In Proceedings of the 19th International Conference on Autonomous Agents and Multiagent Systems (AAMAS-2020) ,2041-2043 , 2020
    CCF B
  5. 38. Reweighted Price Relative Tracking System for Automatic Portfolio Optimization
    Zhao-Rong Lai, Pei-Yi Yang, Liangda Fang, and Xiaotian Wu
    IEEE Transactions on Systems, Man, and Cybernetics: Systems ,50 (11) : 4349-4361 , 2020
    CCF B

2019

  1. 39. Tagged Sentential Decision Diagrams: Combining Standard and Zero-suppressed Compression and Trimming Rules
    Liangda Fang, Biqing Fang, Hai Wan*, Zeqi Zheng, Liang Chang, and Quan Yu
    In Proceedings of 2019 IEEE/ACM International Conference on Computer Aided Design (ICCAD-2019) ,50 (11) : 4349-4361 , 2019
    CCF B
  2. 40. Disjunctive Normal Form for Multi-Agent Modal Logics Based on Logical Separability
    Liangda Fang*, Kewen Wang, Zhe Wang, and Ximing Wen
    In Proceedings of the 33rd AAAI Conference on Artificial Intelligence ,2817-2826 , 2019
    CCF A
  3. 41. Bi-Kronecker Functional Decision Diagrams: A Novel Canonical Representation of Boolean Functions
    Xuanxiang Huang, Kehang Fang, Liangda Fang*, Qingliang Chen, Zhao-Rong Lai, and Linfeng Wei
    In Proceedings of the 33rd AAAI Conference on Artificial Intelligence ,2867-2875 , 2019
    CCF A
  4. 42. Forgetting in multi-agent modal logics
    Liangda Fang, Yongmei Liu*, and Hans Ditmarsch
    Artificial Intelligence ,266 : 51-80 , 2019
    CCF A

2018

  1. 43. Short-term Sparse Portfolio Optimization Based on Alternating Direction Method of Multipliers
    Zhao-Rong Lai*, Pei-Yi Yang, Liangda Fang, and Xiaotian Wu
    Journal of Machine Learning Research ,19 (63) : 1-28 , 2018
    CCF A
  2. 44. Knowledge Compilation in the Multi-Agent Epistemic Logic Kn
    Liangda Fang*, Kewen Wang, Zhe Wang, and Ximing Wen
    In Proceedings of the 16th International Conference on Principles of Knowledge Representation and Reasoning (KR) ,637-638 , 2018
    CCF B
  3. 45. A kernel-based trend pattern tracking system for portfolio optimization
    Zhao-Rong Lai, Pei-Yi Yang, Xiaotian Wu, and Liangda Fang
    Data Mining and Knowledge Discovery ,32 (6) : 1708-1734 , 2018
    CCF B
  4. 46. Trend representation based log-density regularization system for portfolio optimization
    Pei-Yi Yang, Zhao-Rong Lai, Xiaotian Wu, and Liangda Fang
    Pattern Recognition ,76 : 14-24 , 2018
    CCF B
  5. 47. Dependence in Propositional Logic: Formula-Formula Dependence and Formula Forgetting - Application to Belief Update and Conservative Extension
    Liangda Fang, Hai Wan*, Xianqiao Liu, Biqing Fang, and Zhaorong Lai
    In Proceedings of the 32nd AAAI Conference on Artificial Intelligence ,1835-1844 , 2018
    CCF A

2016

  1. 48. Forgetting in Multi-Agent Modal Logics
    Liangda Fang, Yongmei Liu*, and Hans Ditmarsch
    In Proceedings of the 25th International Joint Conference on Artificial Intelligence (IJCAI-2016) ,1066-1073 , 2016
    CCF A

2015

  1. 49. On the Progression of Knowledge and Belief for Nondeterministic Actions in the Situation Calculus
    Liangda Fang*, Yongmei Liu, and Ximing Wen
    In Proceedings of the 24th International Joint Conference on Artificial Intelligence (IJCAI-2015) ,2955-2963 , 2015
    CCF A
  2. 50. A Complete Epistemic Planner without the Epistemic Closed World Assumption
    Hai Wan, Rui Yang*, Liangda Fang, Yongmei Liu, and Huada Xu
    In Proceedings of the 24th International Joint Conference on Artificial Intelligence (IJCAI-2015) ,3257-3263 , 2015
    CCF A

2013

  1. 51. High-Level Program Execution in Multi-Agent Settings
    Liangda Fang
    In Proceedings of the 23rd International Joint Conference on Artificial Intelligence Doctoral Consortium Program ,3213-3214 , 2013
    CCF A
  2. 52. Multiagent Knowledge and Belief Change in the Situation Calculus
    Liangda Fang and Yongmei Liu
    In Proceedings of the 27th AAAI Conference on Artificial Intelligence ,304-312 , 2013
    CCF A