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 Dr. Xinxin Fan  
 
 
  Institute of Computing Technology
  Chinese Academy of Sciences
 
  Web: Homepage @ ICT, CAS
  Email:
  Office: Room 1301
  Mailing: No.6 Kexueyuan South Road   Zhongguancun, Haidian District, Beijing,
  China, 100190


Short Bio

    Dr. Xinxin Fan is an associate professor in Institute of Computing Technology (ICT),   Chinese Academy of Sciences (CAS). He is broadly interested in Distributed Security Algorithm. His current research interests are centered on secure Machine Learning, Decentralized Trust Computing, Edge Computing. He has published more than 40 paper at several top conferences and journals including KDD, CIKM, WWW, ICWS, CSUR, TPDS, TWEB, etc. Also, he is a recipient of Microsoft Award-Honorable Mention from ISCC 2018, and best paper runner up award from IPCCC 2017 and KSEM 2018. He is an IEEE & ACM member.


Research

Current focus:

  • Secure Machine Learning
  • LLM Inference & Trustworthiness

    Past projects:

  • My research is primarily sponsored by NSFC, Huawei, MSTC etc.


Recent Publications (
Complete list)

  • Xinxin Fan, Mengfan Li, Jia Zhou, Quanliang Jing, Chi Lin, Yunfeng Lu, Jingping Bi. GCSA: A New Adversarial Example-Generating Scheme Toward Black-Box Adversarial Attacks. IEEE Trans. Consumer Electron. 70(1): 2038-2048, 2024. [TCS 2024]
  • Chi Lin, Zhouhe Sun, Asfandeyar Ahmad, Xinxin Fan, Yi Wang, Lei Wang, Xin Fan, Guowei Wu. AirWrite: An Aerial Handwriting Trajectory Tracking and Recognition System With mmWave. IEEE Trans. Mob. Comput. 23(12): 13325-13341, 2024. [TMC 2024]
  • Yunfeng Lu, Xinxin Fan, Quanliang Jing. TAEffect: Quantifying interaction risks in trust-enabled communication systems. Int. J. Commun. Syst. 36(4), 2023. [IJCS 2023]
  • Quanliang Jing, Shuo Liu, Xinxin Fan, Jingwei Li, Di Yao, Baoli Wang, Jingping Bi. Can Adversarial Training benefit Trajectory Representation?: An Investigation on Robustness for Trajectory Similarity Computation. Proceedings of the 31st ACM International Conference on Information & Knowledge Manageme, 2022. [CIKM 2022]
  • Quanliang Jing, Yao Di, Chang Gong, Xinxin Fan, Baoli Wang, Haining Tan, and Jingping Bi. TRAJCROSS: Trajecotry Cross-Modal Retrieval with Mulit-level Contrastive Learning. IEEE International Conference on Big Data, 2021. [BigData 21]
  • Xiaokai Chu, Xinxin Fan, Jingping Bi. Position-Aware Network Representation Learning via K-Step Mutual Information Estimation (In Chinese). Journal of Computer Research and Development (计算机研究与发展), 58 (8): 1612-1623, 2021. [JCRD 21]
  • Xiaokai Chu, Xinxin Fan, Zhihua Zhu and Jingping Bi. Variational Cross-Network Embedding for Anonymized User Identity Linkage. The 30th International Conference on Information and Knowledge Management, Pages 2955–2959, 2021. (Short Papers Track, Acceptance Rate: 177/626=28%). [CIKM 21]
  • Baoli Wang, Xinxin Fan, Quanliang Jing, Haining Tan, Jingping Bi: AdvCGAN: An Elastic and Covert Adversarial Examples Generating Framework. IEEE International Joint Conference on Neural Network, 1-8, 2021. [IJCNN 21]
  • Xinxin Fan, Ling Liu, Rui Zhang, Quanliang Jing, Jingping Bi. Decentralized Trust Management: Risk Analysis and Trust Aggregation. ACM Computing Surveys, 53(1): 2:1-2:33, 2020. [CSUR 20]
  • Zhihua Zhu, Xinxin Fan, Xiaokai Chu, Jingping Bi. HGCN: A Heterogeneous Graph Convolutional Network-Based Deep Learning Model Toward Collective Classification. The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 1161-1171, 2020. (Research Track, Acceptance Rate: 216/1279=17%).[KDD 20]
  • Zhihua Zhu, Xinxin Fan, Xiaokai Chu, Jianhui Huang, Jingping Bi. LRHNE: A Latent-Relation Enhanced Embedding Method for Heterogeneous Information Networks. The 29th International Conference on Information and Knowledge Management, 1923-1932, 2020. (Full Paper Research Track, Acceptance Rate: 193/920=21%). [CIKM 20]
  • Xiaokai Chu, Xinxin Fan, Di Yao, Zhihua Zhu, Jianhui Huang, Jingping Bi. "Cross-Network Embedding for Multi-Network Alignment", The 28th International World Wide Web Conferences, San Francisco, CA, USA, May 13-17, 2019. [WWW 19].
  • Xiaokai Chu, Xinxin Fan, Di Yao, Chen-Lin Zhang, Jianhui Huang, Jingping Bi. "Noise-Aware Network Embedding for Multiplex Network", The International Joint Conference on Neural Networks, Budapest, Hungary, July 14-19, 2019. [IJCNN 19]
  • Xinxin Fan, Jingping Bi. "Identification for Strategically Malicious Participants", The 25th International Conference on Web Service, Seattle, WA, USA, June 25-30, 2018. [ICWS 18]
  • Xinxin Fan, Danyang He, Jingping Bi. "Trustworthiness and Untrustworthiness Inference with Group Assignment", The 25th International Conference on Web Service, Seattle, WA, USA, June 25-30, 2018. [ICWS 18]
  • Zixuan Ding, Xinxin Fan, Jinping Yu, Jingping Bi. "Update Cost-Aware Cache Replacement for Wildcard Rules in Software-Defined Networking", The 23th IEEE Symposium on Computer and Communications, Natal, Brazil, June 25-28, 2018. (Microsoft Award-Honorable Mention) [ ISCC 18]
  • Haining Tan, Weiqiang Tang, Xinxin Fan, Quanliang Jing, Jingping Bi. "SERL: Semantic-Path Biased Representation Learning of Heterogeneous Information Network", 11th International Conference on Knowledge Science, Engineering and Management, Changchun, China, August 17-19, 2018. (Best Paper Runner Up) [KSEM 18]
  • Jinping Yu, Jingping Bi, Guoqiang Zhang, Xinxin Fan, Zhongcheng Li. "Loop-Free Rerouting of Multiple Policies With Overlaps", The 36th IEEE International Performance Computing and Communications Conference, San Diego, CA, USA, December 10-12, 2017. [IEEE Communications Letters 18]
  • Xinxin Fan, Ling Liu, Mingchu Li, Zhiyuan Su. "GroupTrust: Dependable Trust Management", IEEE Transactions on Parallel and Distributed Systems, 28(4): 1076-1090, 2017. [TPDS 17]
  • Jinping Yu, Xinxin Fan, Guoqiang Zhang, Jingping Bi. "Scheduling loop-free updates for multiple policies with overlaps in software-defined networks", The 36th IEEE International Performance Computing and Communications Conference, San Diego, CA, USA, December 10-12, 2017. (Best Paper Runner Up) [IPCCC 17]

Software


Team

I am working with the following students (co-supervised with Prof. Jingping Bi and associate Prof. Jianhui Huang):
  • Current students
      • Mengfan Li (PhD)
      • Men Niu (MS)
      • Shaoye Luo (MS)
      • Wenxiong Chen (Visiting MS)
      • Wenbo Song (Visiting MS)
  • Graduated students
      • PhD. Baoli Wang
        • Graduated June, 2022
        • Currently with Microsoft Research Asia (MSRA), China
      • PhD. Xiaokai Chu
        • Graduated June, 2022
        • Currently with Tencent, China
      • PhD. Zhihua Zhu
        • Graduated June, 2021
        • Currently with Tencent, China
      • BS. Danyang He
        • Graduated June, 2018
        • Currently with Columbia Univ. for MSc degree, USA
      • MS. Weiqiang Tang
        • Graduated June, 2018
        • Currently with VMware, Beijing, China
      • MS. Wenkai Qiu
        • Graduated June, 2018
        • Currently with Alibaba, Hangzhou, China

Professional Services

  • Program committee
    • MENS 2012
  • Reviewer
    • ACM Transactions on the Web (TWEB)
    • IEEE Transactions on Services Computing (TSC)
    • ACM Transactions on Internet Technology (TOIT)
    • The Innovation
    • IEEE Transactions on Neural Networks and Learning Systems (TNNLS)
    • Computer Networks (Elsevier)
    • Journal of Computer and System Sciences (Elsevier)
    • SCIENCE CHINA Information Sciences (中国科学.信息科学)
    • IEEE iThings 2011

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