近一年，工学院计算机系师生在人工智能及应用方向（主要包括：机器学习理论、推荐系统、情感计算、生物医学信息学、交通流预测）上发表系列成果。计算机学科围绕数据挖掘、网络与信息安全等学科基础，凝练人工智能特色细分方向，学科交叉融合，加快论文质量提升的趋势。后续将借助高水平大学重点学科建设契机，在计算机顶会、顶刊和高被引上持续发力。
机器学习理论：
Cheng Liu, Si Wu, Wenming Cao, Wenjun Shen, et al. Joint Subspace and Discriminative Learning for Self-Paced Domain Adaptation. Knowledge-Based Systems, 205, 2020. (中科院一区Top期刊, 影响因子8.038 )(主要完成人：刘诚)
Sentao Chen*, Hanrui Wu, and Cheng Liu, Domain Invariant and Agnostic Adaptation, Knowledge-Based Systems，2021, 227, 107192 (中科院一区Top期刊, 影响因子8.038 )(主要完成人：陈森涛)
推荐系统：
Lin Zheng ; Naicheng Guo ; Weihao Chen ; Jin Yu ; et al. Sentiment-guided Sequential Recommendation, 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR’20. New York, NY, USA, 2020, 1957–1960. (国际顶级会议, CCF-A级)(主要完成人：郑麟)
生物医学信息学：
Chen L, Wang C, Sun H, et al. The bioinformatics toolbox for circRNA discovery and analysis[J]. Briefings in bioinformatics, 2021, 22(2): 1706-1728.(中科院一区Top期刊，影响因子11.622)(主要完成人：陈亮)
Cheng Liu, Wenming Cao, Si Wu, Wenjun Shen, et al. Asymmetric Graph-Guided Multitask Survival Analysis with Self-Paced Learning. IEEE Transactions on Neural Networks and Learning Systems. 2020, DOI: 10.1109/TNNLS.2020.3028453 (中科院一区Top期刊, 影响因子10.451)(主要完成人：刘诚)
Cheng Liu, Wenming Cao, Si Wu, Wenjun Shen, Dazhi Jiang, Zhiwen Yu, Hau-San Wong: Supervised graph clustering for cancer subtyping based on survival analysis and integration of multi-omic tumor data. IEEE/ACM Transactions on Computational Biology and Bioinformatics. 2020, DOI: 10.1109/TCBB.2020.3010509（CCF-B级）(主要完成人：刘诚)
Dazhi Jiang, Geng Tu, Donghui Jin, Kaichao Wu, Cheng Liu, Lin Zheng, Teng Zhou. A Hybrid Intelligent Model for Acute Hypotensive Episode Prediction with Large-scale Data, Information Sciences, 546(2021), 787-802, https://doi.org/10.1016/j.ins.2020.08.033(中科院一区Top期刊, 影响因子6.795)(主要完成人：姜大志)
情感计算：
Guorong Xiao,Yunju Ma, Cheng Liu, Dazhi Jiang. A Machine Emotion Transfer Model for Intelligent Human-machine Interaction based on Group Division. Mechanical Systems and Signal Processing, 2020. (中科院一区Top期刊, 影响因子6.823)(主要完成人：姜大志)
Guorong Xiao; Tu, Geng; Zheng, Lin; Zhou, Teng; Li, Xin; Ahmed, Syed Hassan; Jiang, Dazhi. Multi-modality Sentimental Analysis in Social Internet of Things based on Hierarchical Attentions and CSAT-TCN with MBM Network, IEEE Internet of Things Journal, 2021, 8(16):12748-12757, 10.1109/JIOT.2020.3015381. (中科院一区Top期刊, 影响因子9.515)(主要完成人：姜大志)
Dazhi Jiang, Kaichao Wu, Dicheng Chen, Geng Tu, et al. A probability and integrated learning based classification algorithm for high-level human emotion recognition problems, Measurement, 150(2020) 107049. (热点论文, ESI高被引论文 )(主要完成人：姜大志)
Dongmin Huang, et al. Differences First in Asymmetric Brain: A Bi-hemisphere Discrepancy Convolutional Neural Network for EEG Emotion Recognition, Neurocomputing, 2021, https://doi.org/10.1016/j.neucom.2021.03.105(中科院二区Top期刊)(主要完成人：姜大志)
Geng Tu, Jintao Wen, Hao Liu, et al. Exploration Meets Exploitation- Multi-task Learning for Emotion Recognition based on Discrete and Dimensional models. Knowledge-Based Systems, 2021, https://doi.org/10.1016/j.knosys.2021.107598(中科院一区Top期刊, 影响因子8.038 )(主要完成人：姜大志)
交通流建模：
Lu, Huakang, Zuhao Ge, Youyi Song, Dazhi Jiang, Teng Zhou, and Jing Qin. "A temporal-aware lstm enhanced by loss-switch mechanism for traffic flow forecasting." Neurocomputing 427 (2021): 169-178. （中科院二区Top期刊）（主要完成人：周腾）
Ge, Zuhao, Yuhui Li, Cheng Liang, Youyi Song, Teng Zhou*, and Jing Qin. "ACSNet: Adaptive Cross-Scale Network with Feature Maps Refusion for Vehicle Density Detection." In 2021 IEEE International Conference on Multimedia and Expo (ICME), pp. 1-6. IEEE, 2021. （计算机视觉顶会）（主要完成人：周腾）
Cai, Weihong, Junjie Yang, Yidan Yu, Youyi Song, Teng Zhou*, and Jing Qin. "PSO-ELM: A hybrid learning model for short-term traffic flow forecasting." IEEE Access 8 (2020): 6505-6514.（ESI高被引）（中科院二区Top期刊）（主要完成人：蔡伟鸿、周腾）
文/计算机系
