方良达于2015年在中山大学获得博士学位，毕业后加入暨南大学任讲师，2018年晋升副教授。主要研究方向为人工智能领域，包括知识表示与推理、机器学习、规划、多智能体系统和教育人工智能。方良达已发表计算机学会推荐A/B类论文30篇。他曾担任SoCS-2021的当地主席之一，担任AAAI (2019-2024)、ECAI (2020、2023、2024)、IJCAI (2018、2020、2021、2023)、KR (2021 )的（高级）PC 成员）、WSDM (2023) 以及ICML (2022)、NeurIPS (2022) 和WWW (2024) 的审稿人。他还获得了IJCAI-2021和IJCAI-2023的杰出（高级）PC 奖、ICML-2022 的杰出审稿人奖、ECAI-2023 的杰出审稿人奖。

• 2011/09-2015/12，中山大学，计算机软件与理论，博士，导师：刘咏梅教授

• 2007/09-2010/06，广东工业大学，计算机系统结构，硕士，导师：余永权教授

• 2003/09-2007/06，广州大学，计算机科学与技术，本科

• 2018/10至今，暨南大学，副教授

• 2016/02-2018/9，暨南大学，讲师

• 2017/11-2017/12，香港科技大学，计算机科学系，访问学者，合作导师：林方真教授

• 2017/01-2017/02，格里菲斯大学，ASIT研究小组，访问学者，合作导师：王克文教授

• 2016/03-2016/04，浙江大学，人文学院，访问学者，合作导师：王轶、Hans van Ditmarsch

• 2014/09-2014/11，洛林计算机科学研究与应用实验室，CELLO研究小组，访问学生，合作导师：Hans van Ditmarsch

人工智能、机器学习

• 招收对象：有志于未来从事人工智能方向的硕士研究生和保研本科生

• 学生要求：坚持努力、追求卓越

#: Corresponding Authors

1.     Weijun Yuan, Zhan Li#, Xiaohan Li, Liangda Fang, Qingfeng Zhang, Zhixiang Qiu. Crowd Counting and Localization in Haze and Rain. In Proceedings of IEEE Conference on Multimedia Expo 2024 (ICME-2024), Accepted. (CCF B)

2.     Quanlong Guan, Yanchong Yu, Xiujie Huang#, Liangda Fang#, Chaobo He, Lusheng Wu#, Weiqi Luo, Guanliang Chen. Generating Privacy-preserving Educational Data Records with Diffusion Model. In Proceedings of ACM Web Conference 2024 (WWW-2024), Accepted. (CCF A)

3.     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, 35(2): 1545-1558, 2024. (CCF B)

4.     Junming Qiu, Wenqing Li, Liangda Fang#, Quanlong Guan#, Zhanhao Xiao, Zhao-Rong Lai, Qian Dong. On the role of logical separability in knowledge compilation. Artificial Intelligence, 328:104077, 2024. (CCF A)

5.     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)

6.     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)

7.     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)

8.     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)

9.     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, 2022. (CCF B)

10.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)

11.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)

12.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)

13.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)

14.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)

15.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)

16.Zhao-Rong Lai, Pei-Yi Yang#, Liangda Fang, Xiaotian Wu. Reweighted Price Relative Tracking System for Automatic Portfolio Optimization. IEEE Transactions on Systems, Man, and Cybernetics: Systems, 50(11): 4349-4361, 2020. (CCF B)

17.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)

18.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)

19.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)

20.Liangda Fang, Yongmei Liu#, Hans van Ditmarsch. Forgetting in multi-agent modal logics. Artificial Intelligence, 266: 51-80, 2019. (CCF A)

21.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)

22.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 Reasoning (KR-2018), 637-638. (CCF B)

23.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)

24.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)

25.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)

26.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)

27.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)

28.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)

29.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)

30.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)

[1] 国家自然科学基金（面上项目），无穷状态空间下的智能规划和公平组合博弈，2023/01-2026/12，在研，主持

[2] 国家自然科学基金（青年科学基金项目），多智能体模态逻辑中的遗忘理论及其应用，2017/01-2019/12，已结题，主持

[3] 广东省自然科学基金面上项目，命题逻辑中的高效范式研究及其在自动规划领域的应用，2021/01-2023/12，已结题，主持

[4] 广州市科技计划项目, 基于知识编译的多智能体认知逻辑的关键推理问题, 2021/03-2023/04，已结题，主持