Chunjing Xiao

Associate Professor
School of Computer and Information Engineering
Henan University

Email: chunjingxiao@gmail.com

Address: Jinming Road, Henan University, Kaifeng, China

I received my Ph.D. degree from the University of Electronic Science and Technology of China in Chengdu, China. Currently, I hold the position of an Associate Professor at the School of Computer and Information Engineering, Henan University in Kaifeng, China. During my academic journey, I had the privilege of being a visiting scholar with the Department of Electrical Engineering and Computer Science at Northwestern University, located in Evanston, IL, USA. My research interests lie in the fields of recommender systems, anomaly detection, and the Internet of Things. These areas have captivated my passion, and I am constantly seeking ways to contribute to their advancements. As an academic and researcher, I am dedicated to exploring innovative solutions and making meaningful contributions to these domains. More information about my experience and research can be found on Google Scholar.

Publications

2024:

  1. Motif-Consistent Counterfactuals with Adversarial Refinement for Graph-Level Anomaly Detection.
    Chunjing Xiao, Shikang Pang, Wenxin Tai, Yanlong Huang, Goce Trajcevski, Fan Zhou.
    ACM SIGKDD Conference on Knowledge Discovery and Data Mining.
  1. Counterfactual data augmentation with denoising diffusion for graph anomaly detection.
    Chunjing Xiao, Shikang Pang, Xovee Xu, Xuan Li, Goce Trajcevski, Fan Zhou.
    IEEE Transactions on Computational Social Systems.
  1. Natural Evolution-based Dual-Level Aggregation for Temporal Knowledge Graph Reasoning.
    Bin Chen, Chunjing Xiao*, Fan Zhou.
    Conference on Empirical Methods in Natural Language Processing.
  1. Diffusion model-based contrastive learning for human activity recognition.
    Chunjing Xiao, Yanhui Han, Wei Yang, Yane Hou, Fangzhan Shi, Kevin Chetty.
    IEEE Internet of Things Journal.
  1. Graph anomaly detection with diffusion model-based graph enhancement .
    Shikang Pang, Chunjing Xiao, Wenxin Tai, Zhangtao Cheng, Fan Zhou.
    Proceedings of the AAAI Conference on Artificial Intelligence.

2023:

  1. Counterfactual Graph Learning for Anomaly Detection on Attributed Networks.
    Chunjing Xiao, Xovee Xu, Yue Lei, Kunpeng Zhang, Siyuan Liu, Fan Zhou.
    IEEE Transactions on Knowledge and Data Engineering.
  2. Mean Teacher-based Cross-Domain Activity Recognition using WiFi Signals.
    Chunjing Xiao, Yue Lei, Chun Liu, Jie Wu.
    IEEE Internet of Things Journal.
  3. Exploring indirect entity relations for knowledge graph enhanced recommender system.
    Zhonghai He, Bei Hui, Shengming Zhang, Chunjing Xiao, Ting Zhong, Fan Zhou.
    Expert Systems with Applications.
  4. Uncertainty-Aware Heterogeneous Representation Learning in POI Recommender Systems.
    Fan Zhou, Tangjiang Qian, Yuhua Mo, Zhangtao Cheng, Chunjing Xiao, Jin Wu, Goce Trajcevski.
    IEEE Transactions on Systems, Man, and Cybernetics: Systems.

2022:

  1. Self-Supervised Few-Shot Time-series Segmentation for Activity Recognition.
    Chunjing Xiao, Shiming Chen, Fan Zhou, Jie Wu.
    IEEE Transactions on Mobile Computing.
  2. Deep metric learning for accurate protein secondary structure prediction.
    Wei Yang, Yang Liu, Chunjing Xiao.
    Knowledge-Based Systems.
  3. Combining Imputation Method and Feature Weighting Algorithms to Improve the Classification Accuracy of Incomplete Data.
    Yue Wang, Cong Guo, Chunjing Xiao, Wei Yang.
    Journal of Physics: Conference Series.
  4. Connecting the Hosts: Street-Level IP Geolocation with Graph Neural Networks.
    Zhiyuan Wang, Fan Zhou, Wenxuan Zeng, Goce Trajcevski, Chunjing Xiao, Yong Wang, Kai Chen.
    Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 4121-4131.

2021:

  1. A Real-time Activity Recognition System based on Dynamic Adaptive Windows using WiFi Signals.
    Shiming Chen, Chunjing Xiao, Yanhui Han, Xianghe Du.
    Proceedings of the 2021 5th International Conference on Computer Science and Artificial Intelligence, 122-127.
  2. MetaRisk: Semi-supervised few-shot operational risk classification in banking industry.
    Fan Zhou, Xiuxiu Qi, Chunjing Xiao, Jiahao Wang.
    Information Sciences.

2020:

  1. DeepSeg: Deep-learning-based activity segmentation framework for activity recognition using WiFi.
    Chunjing Xiao, Yue Lei, Yongsen Ma, Fan Zhou, Zhiguang Qin.
    IEEE Internet of Things Journal.
  2. Time sensitivity-based popularity prediction for online promotion on Twitter.
    Chunjing Xiao, Chun Liu, Ying Ma, Zheng Li, Xucheng Luo.
    Information Sciences.
  3. Reliability on Deep Learning Models: A Comprehensive Observation.
    Yuhong Zhang, Chunjing Xiao.
    2020 6th International Symposium on System and Software Reliability (ISSSR).

本课题组注重学生能力提升和实践培养，2024届研究生都在行业内顶级会议和期刊发表了学术论文， 其中2人的论文发表在CCF-A类国际会议KDD，1人的论文发表在中科院一区期刊。 课题组的研究生毕业论文荣获2024年“河南省优秀硕士学位论文”，毕业研究生入职小米、比亚迪等科技名企。

课题组与美国University of Maryland和Iowa State University，以及英国University College London的教授保持紧密的学术合作。 组内研究氛围浓厚，注重理论实践结合，有助于同学们的学业提升。欢迎对人工智能、大数据领域有兴趣的同学加入课题组，共同进行学习和研究。

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