个人信息
部门：暨南大学网络空间安全学院、广东智慧教育研究院
职称：副教授
学位：博士学位
个人简介
方良达于2015年在中山大学获得博士学位。毕业后，他加入暨南大学担任讲师，并于2018年晋升为副教授。他的研究领域为人工智能领域，包括知识表示和推理、机器学习、规划、多智能体系统和教育人工智能。方良达发表了26篇论文（包括13篇CCF A级论文和13篇CCF B级论文）。他曾担任SoCS-2021的当地主席之一，以及担任AAAI（2019-2024）、ECAI（2020、2023）、IJCAI（2018、2020、2021、2023）、KR（2021）、WSDM（2023）、ICML（2022）、NeurIPS（2022）和WWW（2024）的高级会议主席团成员。他还获得了IJCAI-2021和IJCAI-2023的杰出会议主席团成员奖、ICML-2022的杰出和ECAI-2023的杰出审稿人奖。
科研论文
1.Liangda Fang, Meihong Yang, Dingliang Cheng, Yunlai Hao, Quanlong Guan#, Liping Xiong. Generalized Strategy Synthesis of Infinite-State Impartial Combinatorial Games via Exact Binary Classification. In Proceedings of the 23rd International Conference on Autonomous Agents and Multi-Agent Systems (AAMAS-2024), Accepted. (CCF B)
2.Quanlong Guan, Fang Xiao, Xinghe Cheng, Liangda Fang#, Ziliang Chen, Guanliang Chen, Weiqi Luo. KG4Ex: An Explainable Knowledge Graph-Based Approach for Exercise Recommendation. In Proceedings of the 32nd ACM International Conference on Information and Knowledge Management (CIKM-2023), 597–607. (CCF B)
3.Sheng Li, Quanlong Guan#, Liangda Fang#, Fang Xiao, Zhenyu He, Yizhou He, Weiqi Luo. Cognitive Diagnosis Focusing on Knowledge Concepts. In Proceedings of the 31st ACM International Conference on Information and Knowledge Management (CIKM-2022), 3272-3281. (CCF B)
4.Mingzhi Chen, Quanlong Guan#, Yizhou He, Zhenyu He, Liangda Fang, Weiqi Luo. Knowledge Tracing Model with Learning and Forgetting Behavior. In Proceedings of the 31st ACM International Conference on Information and Knowledge Management (CIKM-2022), 3863-3867. (CCF B)
5.Zhao-Rong Lai, Cheng Li#, Xiaotian Wu, Quanlong Guan, Liangda Fang. Multi-trend Conditional Value at Risk for Portfolio Optimization. IEEE Transactions on Neural Networks and Learning Systems, 1-14, 2022. (CCF B)
6.Xian-bin Ye, Quanlong Guan, Weiqi Luo, Liangda Fang, Zhao-Rong Lai#, Jun Wang. Molecular substructure graph attention network for molecular property identification in drug discovery. Pattern Recognition, 128: 108659. (CCF B)
7.Xiaoyou Lin, Qingliang Chen, Liangda Fang#, Quanlong Guan#, Weiqi Luo, Kaile Su. Generalized Linear Integer Numeric Planning. In Proceedings of the 32nd International Conference on Automated Planning and Scheduling (ICAPS-2022), 241-251. (CCF B)
8.Junming Qiu, Wenqing Li, Zhanhao Xiao, Quanlong Guan#, Liangda Fang#, Zhao-Rong Lai, Qian Dong. Knowledge Compilation Meets Logical Separability. In Proceedings of the 36th AAAI Conference on Artificial Intelligence (AAAI-2022), 5851-5860. (CCF A)
9.Xuanxiang Huang, Haipeng Che, Liangda Fang#, Qingliang Chen, Quanlong Guan, Yuhui Deng, Kaile Su. Dynamic Minimization of Bi-Kronecker Functional Decision Diagrams. In Proceedings of 2020 IEEE/ACM International Conference on Computer Aided Design (ICCAD-2020). (CCF B)
10.Zhao-Rong Lai, Liming Tan, Xiaotian Wu, Liangda Fang. Loss Control with Rank-one Covariance Estimate for Short-term Portfolio Optimization. Journal of Machine Learning Research, 21: 1-37, 2020. (CCF A)
11.Kaisheng Wu, Liangda Fang#, Liping Xiong, Zhao-Rong Lai, Yong Qiao, Kaidong Chen, Fei Rong. Automatic Synthesis of Generalized Winning Strategies of Impartial Combinatorial Games Using SMT Solvers. In Proceedings of the 29th International Joint Conference on Artificial Intelligence (IJCAI-2020), 1703-1711. (CCF A)
12.Kaisheng Wu, Yong Qiao, Kaidong Chen, Fei Rong, Liangda Fang#, Zhao-Rong Lai, Qian Dong, Liping Xiong. Automatic Synthesis of Generalized Winning Strategies of Impartial Combinatorial Games. In Proceedings of the 19th International Conference on Autonomous Agents and Multiagent Systems (AAMAS-2020), 2041-2043. (CCF B)
13.Liangda Fang, Biqing Fang, Hai Wan#, Zeqi Zheng, Liang Chang, Quan Yu. Tagged Sentential Decision Diagrams: Combining Standard and Zero-suppressed Compression and Trimming Rules. In Proceedings of 2019 IEEE/ACM International Conference on Computer Aided Design (ICCAD-2019). (CCF B)
14.Liangda Fang, Kewen Wang, Zhe Wang, Ximing Wen. Disjunctive Normal Form for Multi-Agent Modal Logics Based on Logical Separability. In Proceedings of the 33rd AAAI Conference on Artificial Intelligence (AAAI-2019), 2817-2826. (CCF A)
15.Xuanxiang Huang, Kehang Fang, Liangda Fang#, Qingliang Chen, Zhao-Rong Lai, Linfeng Wei. Bi-Kronecker Functional Decision Diagrams: A Novel Canonical Representation of Boolean Functions. In Proceedings of the 33rd AAAI Conference on Artificial Intelligence (AAAI-2019), 2867-2875. (CCF A)
16.Liangda Fang, Yongmei Liu#, Hans van Ditmarsch. Forgetting in multi-agent modal logics. Artificial Intelligence, 266: 51-80, 2019. (CCF A)
17.Zhao-Rong Lai, Pei-Yi Yang, Liangda Fang, Xiaotian Wu. Short-term Sparse Portfolio Optimization Based on Alternating Direction Method of Multipliers. Journal of Machine Learning Research, 19(63):1-28, 2018. (CCF A)
18.Liangda Fang, Kewen Wang, Zhe Wang, Ximing Wen. Knowledge Compilation in the Multi-Agent Epistemic Logic Kn. In Proceedings of the 16th International Conference on Principles of Knowledge Representation and Reasoninge (KR-2018), 637-638. (CCF B)
19.Zhao-Rong Lai, Pei-Yi Yang, Xiaotian Wu, Liangda Fang. A kernel-based trend pattern tracking system for portfolio optimization. Data Mining and Knowledge Discovery, 32(6): 1708-1734, 2018. (CCF B)
20.Pei-Yi Yang, Zhao-Rong Lai#, Xiaotian Wu, Liangda Fang. Trend representation based log-density regularization system for portfolio optimization. Pattern Recognition, 76: 14-24, 2018. (CCF B)
21.Liangda Fang, Hai Wan, Xianqiao Liu, Biqing Fang, Zhaorong Lai. Dependence in Propositional Logic: Formula-Formula Dependence and Formula Forgetting – Application to Belief Update and Conservative Extension. In Proceedings of the 32nd AAAI Conference on Artificial Intelligence (AAAI-2018), 1835-1844. (CCF A)
22.Liangda Fang, Yongemei Liu, Hans van Ditmarsch. Forgetting in Multi-Agent Modal Logics. In Proceedings of the 25th International Joint Conference on Artificial Intelligence (IJCAI-2016), 1066-1073. (CCF A)
23.Liangda Fang, Yongmei Liu, Ximing Wen. On the Progression of Knowledge and Belief for Nondeterministic Actions in the Situation Calculus. In Proceedings of the 24th International Joint Conference on Artificial Intelligence (IJCAI-2015), 2955-2963. (CCF A)
24.Hai Wan, Rui Yang#, Liangda Fang, Yongmei Liu, Huada Xu. A Complete Epistemic Planner without the Epistemic Closed World Assumption. In Proceedings of the 24th International Joint Conference on Artificial Intelligence (IJCAI-2015), 3257-3263. (CCF A)
25.Liangda Fang. High-Level Program Execution in Multi-Agent Settings. In Proceedings of the 23rd International Joint Conference on Artificial Intelligence Doctoral Consortium Program (IJCAI-2013 DC), 3213-3214. (CCF A)
26.Liangda Fang, Yongmei Liu. Multiagent Knowledge and Belief Change in the Situation Calculus. In Proceedings of the 27th AAAI Conference on Artificial Intelligence (AAAI-2013), 304-312. (CCF A)
讲授课程
1、Numerical Analysis (Fall 2016 - 2023)
2、Mathematical Logics (Graduated Courses) (Spring 2017, Fall 2017 - 2022)
3、Distributed Computation (Spring 2017)