个人信息 |
部门：暨南大学广东智慧教育研究院
职称：副教授（绿色通道）
学位：博士学位
研究领域：智慧教育、社会计算、人类行为数据挖掘、生成式人工智能
个人简介 |
侯明良博士，暨南大学广东智慧教育研究院副教授，毕业于大连理工大学软件学院软件工程专业，导师为夏锋教授（IEEE Fellow），毕业后担任暨南大学（广东智慧教育研究院）与北京世纪好未来联合培养的博士后研究员，博士后合作导师为国内智慧教育知名学者刘子韬教授。
在攻读博士学位期间，一直致力于人工智能与数据挖掘方向的研究，主攻的研究方向为人类出行行为的挖掘与预测；在博士后期间，聚焦人类学习行为分析与建模，并且在好未来算法团队致力于大模型相关算法、技术的设计、实现与工程应用，具备良好的理论基础与实际应用落地能力。
侯明良博士主要论文共计33篇，其中一作（唯一）论文9篇，发表于 AAAI Conference on Artificial Intelligence（CCF-A 类会议，国际人工智能知名会议）、IEEE Transactions on Intelligent Transportation Systems（JCR:Q1; 中科院一区Top期刊）、IEEE Transactions on Computational Social Systems（JCR:Q1; 中科院二区期刊）、IEEE Transactions on Emerging Topics in Computing（JCR:Q1; 中科院二区期刊）、Computer Science Review（JCR:Q1; 中科院一区Top期刊）、ACM Transactions on Spatial Algorithms and Systems 等期刊以及 ACM Symposium on Applied Computing、International Conference on Data Mining。
通讯作者（唯一）论文3篇，发表于The ACM Web Conference (CCF-A类会议，国际万维网方向顶级会议)、International Joint Conference on Artificial Intelligence（CCF-B类会议，国际人工智能顶级会议）、European Conference On Artificial Intelligence（CCF-B类会议，国际人工智能顶级会议）。
科研成果 |
[1] Mingliang Hou, Xueyi Li, Teng Guo, Zitao Liu, Mi Tian, Renqiang Luo, and Weiqi Luo, Cognitive Fluctuations Enhanced Attention Network for Knowledge Tracing, In Proceedings of the 39th Annual AAAI Conference on Artificial Intelligence, (CCF-A类会议), Philadelphia, Pennsylvania, USA, 2025.
[2] Mingliang Hou, Muhammad Thair, Frnda Jaroslav, Xiao Zheng, Shahid Anwar, Yongwei Tang, and Imtiaz Hussian, Dynamic Graph Learning for Bus Passenger Profiling in Urban Transportation Networks, IEEE Transactions on Intelligent Transportation Systems (最新IF:8.4；JCR Q1；中科院一区Top), 2026.
[3] MingliangHou, Zitao Liu,Renqiang Luo,Jiliang Tang, Weiqi Luo, and Feng Xia, MoC-KT: Mixture of Convolutions for Knowledge Tracing, ACM Transactions on Information Systems (最新IF:9.1, JCR Q1, 中科院一区，CCF-A类期刊)，vol.0, no.0, pp.0, 2026.
[4] Mingliang Hou, Jing Ren, Da Zhang, Xiangjie Kong, Dongyu Zhang, Feng Xia. Network Embedding: Taxonomies, Frameworks and Applications, Computer Science Review (最新IF:12.7；JCR Q1；中科院一区Top), vol.38, pp.100296, 2020.
[5] Mingliang Hou, Tao Tang, Feng Xia , Sultan Ibrahim, Roopdeep Kaur and Xiangjie Kong. MissII: Missing Information Imputation for Trajectory Data. IEEE Transactions on Emerging Topics in Computing (最新IF:5.4；JCR Q1；中科院二区）, vol.12, no.03, pp.752-765, 2024.
[6] Teng Guo, Yu Qin, Yubin Xia, Mingliang Hou (通讯作者), Zitao Liu, Feng Xia, and Weiqi Luo, Enhancing Knowledge Tracing through Decoupling Cognitive Pattern from Error-Prone Data, In Proceedings of the ACM Web Conference 2025 (CCF-A类会议), Sydney, Australia, 2025.
[7] Jiwei Deng, Youheng Bai, Mingliang Hou (通讯作者), Teng Guo, Zitao Liu, and Weiqi Luo, Denoised attention and question-augmented representations for knowledge tracing, In Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence (CCF-B类会议)，Montreal, Canada，2025.
[8] Xueyi Li, Youheng Bai, Teng Guo, Ying Zheng, Mingliang Hou (通讯作者), Bojun Zhan, Yaying Huang, Zitao Liu, Boyu Gao, and Weiqi Luo. Extending Context Window of Attention Based Knowledge Tracing Models via Length Extrapolation, In Proceedings of 27th European Conference on Artificial Intelligence (CCF-B类会议), Santiago de Compostela, 2024.
[9] Youheng Bai, Mingliang Hou, Teng Guo, Zitao Liu, and Weiqi Luo, A Frequency-Aware Mixture of Heterogeneous Experts Framework for Knowledge Tracing. In Proceedings of the ACM Web Conference 2026 (CCF-A类会议), Dubai, United Arab Emirates, 2026.
[10] Renqiang Luo, Dong Zhang, Yupeng Gao, Wen Shi, Mingliang Hou, Jiaying Liu, Zhe Wang, Shuo Yu, Bridging Semantic Understanding and Popularity Bias with LLMs. In Proceedings of the ACM Web Conference 2026 (CCF-A类会议), Dubai, United Arab Emirates, 2026.
[11] Youheng Bai, Xueyi Li, Zitao Liu, Yaying Huang, Teng Guo, Mingliang Hou, Feng Xia, and Weiqi Luo, csKT: Addressing Cold-start Problem in Knowledge Tracing via Kernel Bias and Cone Attention. Expert Systems with Applications (最新IF:7.5；JCR Q1；中科院一区 Top), vol. 266, pp. 125988, 2025.