| 2026 | AAAI | 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, Weiqi Luo |
| 2026 | SIGIR | Mitigating Evidence Suppression: Bi-level Active Evidence Injection for Educational Video Understanding. | Cheng Liu, Yiping Wang, Quanlong Guan, Chaobo He, Xingyu Zhu, Liangda Fang |
| 2025 | AAAI | 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 |
| 2025 | AAAI | De-singularity Subgradient for the q-th-Powered lₚ-Norm Weber Location Problem. | Zhao-Rong Lai, Xiaotian Wu, Liangda Fang, Ziliang Chen, Cheng Li |
| 2025 | CIKM | 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, Liangda Fang |
| 2025 | COLING | 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, Liangda Fang |
| 2025 | ICML | Language Models as Implicit Tree Search. | Ziliang Chen, Zhao-Rong Lai, Yufeng Yang, Liangda Fang, Zhanfu Yang, Liang Lin |
| 2025 | IJCAI | Improvements to the Generate-and-Complete Approach to Conformant Planning. | Liangda Fang, Min Zhan, Jin Tong, Xiujie Huang, Ziliang Chen, Quanlong Guan |
| 2025 | SIGIR | NR4DER: Neural Re-ranking for Diversified Exercise Recommendation. | Xinghe Cheng, Xufang Zhou, Liangda Fang, Chaobo He, Yuyu Zhou, Weiqi Luo, Zhiguo Gong, Quanlong Guan |
| 2024 | IJCAI | On the Logic of Theory Change Iteration of KM-Update, Revised. | Liangda Fang, Tong Zhu, Quanlong Guan, Junming Qiu, Zhao-Rong Lai, Weiqi Luo, Hai Wan |
| 2024 | IJCAI | A De-singularity Subgradient Approach for the Extended Weber Location Problem. | Zhao-Rong Lai, Xiaotian Wu, Liangda Fang, Ziliang Chen |
| 2024 | IJCAI | A Multi-Valued Decision Diagram-Based Approach to Constrained Optimal Path Problems over Directed Acyclic Graphs. | Mingwei Zhang, Liangda Fang, Zhenhao Gu, Quanlong Guan, Yong Lai |
| 2024 | ISSRE | Exact Computation of Network Reliability with Sentential Decision Diagrams. | Delong Li, Jiayu Zeng, Liangda Fang, Chaonan Wang, Lin Cui, Quanlong Guan |
| 2024 | WWW | Generating Privacy-preserving Educational Data Records with Diffusion Model. | Quanlong Guan, Yanchong Yu, Xiujie Huang, Liangda Fang, Chaobo He, Lusheng Wu, Weiqi Luo, Guanliang Chen |
| 2023 | CIKM | KG4Ex: An Explainable Knowledge Graph-Based Approach for Exercise Recommendation. | Quanlong Guan, Fang Xiao, Xinghe Cheng, Liangda Fang, Ziliang Chen, Guanliang Chen, Weiqi Luo |
| 2023 | CogSci | An Interpretable Model With Forgetting Matrix For Deep Knowledge Tracing. | Quanlong Guan, Kaiquan Bian, Liangda Fang, Sheng Li, Zhenyu He, Hua Zheng, Lusheng Wu, Weiqi Luo |
| 2023 | SMC | A Practical Framework of Blockchain in IoT Information Management. | Quanlong Guan, Jiawei Lei, Chaonan Wang, Guanggang Geng, Yuansheng Zhong, Liangda Fang, Xiujie Huang, Weiqi Luo |
| 2023 | SMC | NCDFSA: Neural Cognitive Diagnostic Focusing on Students' Attention to Knowledge Concepts. | Guoxiong Wei, Zhenyu He, Quanlong Guan, Liangda Fang, Weiqi Luo, Guanliang Chen |
| 2022 | AAAI | Knowledge Compilation Meets Logical Separability. | Junming Qiu, Wenqing Li, Zhanhao Xiao, Quanlong Guan, Liangda Fang, Zhao-Rong Lai, Qian Dong |
| 2022 | AIED | Cognitive Diagnosis Focusing on Knowledge Components. | Sheng Li, Zhenyu He, Quanlong Guan, Yizhou He, Liangda Fang, Weiqi Luo, Xingyu Zhu |
| 2022 | CIKM | Knowledge Tracing Model with Learning and Forgetting Behavior. | Mingzhi Chen, Quanlong Guan, Yizhou He, Zhenyu He, Liangda Fang, Weiqi Luo |
| 2022 | CIKM | Cognitive Diagnosis Focusing on Knowledge Concepts. | Sheng Li, Quanlong Guan, Liangda Fang, Fang Xiao, Zhenyu He, Yizhou He, Weiqi Luo |
| 2020 | ICCAD | Dynamic Minimization of Bi-Kronecker Functional Decision Diagrams. | Xuanxiang Huang, Haipeng Che, Liangda Fang, Qingliang Chen, Quanlong Guan, Yuhui Deng, Kaile Su |
| 2020 | IJCAI | 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, Fei Rong |
| 2019 | AAAI | Disjunctive Normal Form for Multi-Agent Modal Logics Based on Logical Separability. | Liangda Fang, Kewen Wang, Zhe Wang, Ximing Wen |
| 2019 | AAAI | Bi-Kronecker Functional Decision Diagrams: A Novel Canonical Representation of Boolean Functions. | Xuanxiang Huang, Kehang Fang, Liangda Fang, Qingliang Chen, Zhao-Rong Lai, Linfeng Wei |
| 2019 | ICCAD | Tagged Sentential Decision Diagrams: Combining Standard and Zero-suppressed Compression and Trimming Rules. | Liangda Fang, Biqing Fang, Hai Wan, Zeqi Zheng, Liang Chang, Quan Yu |
| 2018 | AAAI | 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, Zhao-Rong Lai |
| 2018 | KR | Knowledge Compilation in the Multi-Agent Epistemic Logic Kn. | Liangda Fang, Kewen Wang, Zhe Wang, Ximing Wen |
| 2016 | IJCAI | Forgetting in Multi-Agent Modal Logics. | Liangda Fang, Yongmei Liu, Hans van Ditmarsch |
| 2015 | IJCAI | On the Progression of Knowledge and Belief for Nondeterministic Actions in the Situation Calculus. | Liangda Fang, Yongmei Liu, Ximing Wen |
| 2015 | IJCAI | A Complete Epistemic Planner without the Epistemic Closed World Assumption. | Hai Wan, Rui Yang, Liangda Fang, Yongmei Liu, Huada Xu |
| 2013 | AAAI | Multiagent Knowledge and Belief Change in the Situation Calculus. | Liangda Fang, Yongmei Liu |
| 2013 | IJCAI | High-Level Program Execution in Multi-agent Settings. | Liangda Fang |