Publications

2026

  1. 1. 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 B
  2. 2. l1 Latent Distance based Continuous-time Graph Representation
    Zhao-Rong Lai, Zheng-Sen Zhou, Liangda Fang, Yongsen Zheng, and Ziliang Che
    In Proceedings of the 14th International Conference on Learning Representations (ICLR-2026) , 2026
    CCF B
  3. 3. 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
  4. 4. 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. 5. 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. 6. 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. 7. 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. 8. 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. 9. 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. 10. 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. 11. 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. 12. 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. 13. 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. 14. 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. 15. 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. 16. 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. 17. 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. 18. 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. 19. 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. 20. 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. 21. 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. 22. 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. 23. 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. 24. 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. 25. 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. 26. 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. 27. 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. 28. 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. 29. 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. 30. 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. 31. 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. 32. 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. 33. 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. 34. 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. 35. 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. 36. 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. 37. 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. 38. Forgetting in multi-agent modal logics
    Liangda Fang, Yongmei Liu*, and Hans Ditmarsch
    Artificial Intelligence ,266 : 51-80 , 2019
    CCF A

2018

  1. 39. 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. 40. 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. 41. 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. 42. 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. 43. 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. 44. 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. 45. 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. 46. 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. 47. 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. 48. 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