Liangda Fang received his PhD from Sun Yat-sen University in 2015. After graduaction, he joined Jinan University as a lecturer, and was promoted to an associate professor in 2018. His reasearch is in the area of artificial intelligence including knowledge representation and reasoning, machine learning, planning, multi-agent systems and AI for education. Liangda Fang has published 30 CCF Rank A/B papers. He served as one of the local chairs of SoCS-2021, as (Senior) PC member of AAAI (2019-2024), ECAI (2020, 2023, 2024), IJCAI (2018, 2020, 2021, 2023), KR (2021), WSDM (2023), and reviewers of ICML (2022), NeurIPS (2022), and WWW (2024). He also received the Distinguished (Senior) PC Award of IJCAI-2021 and IJCAI-2023, the Outstanding Reviewer Award of ICML-2022, and the Discussion Master Award of ECAI-2023.

#: 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)