康 昭


副教授,四川省青年人才计划特聘专家, 全球高潜力AI华人青年学者Top100,全球Top 2%顶尖科学家, 最佳计算机科学领域科学家,唐立新优秀学者,教育部/新疆/四川省科学技术进步一等奖,优秀共产党员,优秀班主任,本科生创新能力培养奖
美国南伊利诺伊大学博士,2017年5月
电子科技大学,计算机科学与工程学院,认知计算与智能决策团队
邮箱: zkang@uestc.edu.cn
GoogleScholar Github

招生通告


常年招收人工智能方向硕士及博士研究生、本科实习生。

招生要求:踏实、认真、严谨,对科研有较强的积极主动性和较浓的兴趣。


Students


周望涛


博士 (2020-2025)

研究方向:事件预测
学术成果:

  1. Enhancing Fine-grained Spatio-temporal Event Prediction by Learning Self-adaptive Anchor Graphs Wang-Tao Zhou, Zhao Kang, Sicong Liu, Lizong Zhang and Ling Tian, SDM 2025.
  2. Non-Autoregressive Diffusion-based Temporal Point Processes for Continuous-Time Long-Term Event Prediction Wang-Tao Zhou, Zhao Kang, Ling Tian, Jinchuan Zhang, Yumeng Liu, Expert Systems With Applications,2024.
  3. Large-scale Multi-view Subspace Clustering in Linear Time Zhao Kang, Wangtao Zhou, Zhitong Zhao, Junming Shao, Meng Han, Zenglin Xu, Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI-20), New York, Feb. 2020.
  4. Intensity-free Convolutional Temporal Point Process: Incorporating Local and Global Event ContextsWang-Tao Zhou, Zhao Kang, Ling Tian, Yi Su, Information Sciences, Jun. 2023.


谢宣霆


博士 (2023-2027)

研究方向:图机器学习
荣誉: 电子科技大学2025年博士生学术新秀;电子科技大学2023年研究生学术青苗奖
学术成果:

  1. Robust graph structure learning under heterophily Xuanting Xie, Wenyu Chen, Zhao Kang*, Neural Networks,2025.
  2. Simplified PCNet with Robustness, Bingheng Li, Xuanting Xie, Haoxiang Lei, Ruiyi Fang, Zhao Kang*, Neural Networks,2025.
  3. One Node One Model: Featuring the Missing-Half for Graph Clustering, Xuanting Xie, Bingheng Li, Erlin Pan, Zhaochen Guo, Zhao Kang*, Wenyu Chen, AAAI 2025.
  4. CDC: A Simple Framework for Complex Data Clustering, Zhao Kang, Xuanting Xie, Bingheng Li, Erlin Pan*, IEEE Transactions on Neural Networks and Learning Systems,2024.
  5. Contrastive graph clustering with adaptive filter, Xuanting Xie, Wenyu Chen, Zhao Kang*, Chong Peng, Expert Systems with Applications,2023.
  6. Graph Learning for Attributed Graph Clustering, Xiaoran Zhang, Xuanting Xie, Zhao Kang*, Mathematics,2022.


郭泉江


博士 (2023-2027)

研究方向:大模型
学术成果:

  1. Bridging Generative and Discriminative Learning: Few-Shot Relation Extraction via Two-Stage Knowledge-Guided Pre-training, Quanjiang Guo, Jinchuan Zhang, Sijie Wang, Ling Tian, Zhao Kang*, Bin Yan, Weidong Xiao, IJCAI 2025.
  2. BANER: Boundary-Aware LLMs for Few-Shot Named Entity Recognition, Quanjiang Guo, Yihong Dong, Ling Tian, Zhao Kang*, Yu Zhang, Sijie Wang, COLING 2025.
  3. TieFake: Title-Text Similarity and Emotion-Aware Fake News Detection, Quanjiang Guo, Zhao Kang, Ling Tian, Zhouguo Chen, IJCNN 2023.


龚泽亮


硕士 (2024-2027)

研究方向:多模态聚类
学术成果:


袁海峰


硕士 (2024-2027)

研究方向:图机器学习
学术成果:


李鉴强


硕士 (2024-2027)

研究方向:大模型知识编辑
学术成果:


詹锦贤


硕士 (2024-2027)

研究方向:多模态大模型
学术成果:


李旭韬


硕士 (2024-2027)

研究方向:自然语言处理
学术成果:


王庶齐


硕士 (2023-2026)

研究方向:图神经网络
学术成果:


王智斌


硕士 (2023-2026)

研究方向:图机器学习
学术成果:


张智星


硕士 (2023-2026)

研究方向:知识图谱
学术成果:


苟晨曦


硕士 (2023-2026)

研究方向:社交媒体分析与挖掘
学术成果:


饶思源


硕士 (2023-2026)

研究方向:自然语言处理
学术成果:


潘尔林


硕士 (2021-2024)

研究方向:图信号处理
荣誉: 国家奖学金,电子科技大学2023年研究生学术青苗奖,四川省优秀毕业生, 优秀硕士学位论文
主页: huawuque.site and https://www.cnblogs.com/panern/
学术成果:授权发明专利1项

  1. CDC: A Simple Framework for Complex Data Clustering, Zhao Kang, Xuanting Xie, Bingheng Li, Erlin Pan*, IEEE Transactions on Neural Networks and Learning Systems,2024.
  2. PC-Conv: Unifying Homophily and Heterophily with Two-fold Filtering, Bingheng Li, Erlin Pan, Zhao Kang*, AAAI, 2024.
  3. High-order Multi-view Clustering for Generic Data, Erlin Pan, Zhao Kang*, Information Fusion, 2023.
  4. Beyond Homophily: Reconstructing Structure for Graph-agnostic Clustering, Erlin Pan, Zhao Kang*, Fortieth International Conference on Machine Learning (ICML 2023).
  5. Multi-view Contrastive Graph Clustering, Erlin Pan, Zhao Kang*, Thirty-fifth Annual Conference on Neural Information Processing Systems(NeurIPS 2021).


刘亮


硕士 (2020-2023)

研究方向:聚类
荣誉: 国家奖学金,电子科技大学2022年研究生学术青苗奖,优秀硕士学位论文
学术成果:

  1. Spacecraft anomaly detection with attention temporal convolution networks, Liang Liu, Ling Tian, Zhao Kang*, Tianqi Wan, Information Sciences, 2023.
  2. Multilayer Graph Contrastive Clustering Network, Liang Liu, Zhao Kang*, JiaJia Ruan, Xixu He, Information Sciences, 2022.
  3. 基于转换学习的半监督分类, Zhao Kang,Liang Liu, Meng Han, 计算机研究与发展, 2022.
  4. Scalable Multi-view Clustering with Graph Filtering, Liang Liu, Peng Cheng, Guangchun Luo, Zhao Kang*, Yonggang Luo, Sanchu Han, Neural Computing and Applications, 2022.
  5. Smoothed Multi-View Subspace Clustering, Chen Peng, Liang Liu, Zhengrui Ma, Zhao Kang*, International Conference on Neural Computing for Advanced Applications, 2021.


林治平


硕士 (2019-2022)

研究方向:多视图聚类
荣誉: 国家奖学金,电子科技大学2021年研究生学术青苗奖
学术成果:申请发明专利4项

  1. Multi-view Attributed Graph Clustering, Zhiping Lin, Zhao Kang*, Lizong Zhang, Ling Tian, IEEE Transactions on Knowledge and Data Engineering, 2021.
  2. Structured Graph Learning for Scalable Subspace Clustering: From Single-view to Multi-view, Zhao Kang, Zhiping Lin, Xiaofeng Zhu, Wenbo Xu, IEEE Transactions on Cybernetics, 2021.
  3. Graph Filter-based Multi-view Attributed Graph Clustering, Zhiping Lin, Zhao Kang, IJCAI-21 (the 30th International Joint Conference on Artificial Intelligence).


Graduated Students


硕士生
2025: 董倚宏(华为),杜文强(TP-Link),叶睿(招银网络科技),李锦萍(某机关),赵旭(百度)
2024: 李凯文(华为),李思辰(四川农商联合银行),潘尔林(阿里),程宇航(腾讯)
2023: 刘鸿飞(华为),赵晓翠(民生银行),刘亮(美团)
2022: 林治平(TP-LINK)
2021: 吕俊成(农业银行)
2020: 陆啸(阿里巴巴)

本科生
2025:沈智翔(XX PhD)
2024:朱旭东(Ohio State University PhD),李秉恒(Michigan state university PhD),张宇(哈尔滨工业大学深圳PhD),钱骁威(香港城大PhD)
2023: 李泽坤(布朗PhD),方瑞懿(Western University PhD)
2022: 李林珂(杜克)
2021: 马铮睿(计算所),李姜辛(复旦),刘展宇(上交)
2020: 周望涛(电子科大),薄晓凡(UCLA), 郭梓鹏(电子科大)
2019: 许宏辉(Georgia State University), 石国昕(清华),赵新甲(海康威视),潘海琪(信工所)
2018: 陆亿崴(University of Manitoba)