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 currently focuses on the research areas: Trustworthy Machine Learning, LLM Inference & Trustworthiness, and Edge Computing. He has published more than 60 paper at several top conferences and journals including USENIX Security, ICML, SIGKDD, WWW, ACM CSUR, IEEE TPDS, IEEE TMC, IEEE TCE, IEEE TSC, ACM TWEB, ACM CSUR, The Innovation, etc. He is a recipient of Microsoft Award-Honorable Mention (Best Paper Award) from ISCC’18, and Best Paper Runner Up Awards from IPCCC’17 and KSEM’18. He is an IEEE & ACM member.

Research

Current focus: Secure Machine Learning: [USENIX Security'26] [TSC 2026] [TCE 2024] LLM Inference & Trustworthiness: [The Innovation 2025] [ICML 2026][ ICML 2026] Edge Computing: [TMC 2026] [TMC 2024]     Past projects: Decentralized trust management: [CSUR 2020] [TPDS 2017] [TWEB 2015] Software-defined networks (SDN): [IPCCC17][ISCC18] [ IEEE Comm. Letter18] My research is primarily sponsored by NSFC, Huawei, MSTC etc.

Selected Publications (Complete List)

Xinxin Fan, Wenxiong Chen, Quanliang Jing, Chi Lin, Shaoye Luo, Wenbo Song, Yunfeng Lu. TopFeaRe: Locating Critical State of Adversarial Resilience for Graphs Regarding Topology-Feature Entanglement. The 35th USENIX Security Symposium, Accepted to appear (Cycle-1 Acceptance Rate: 20/163=12.3% in Primary Field of Security of ML). [USENIX Security'26] Changhao Wang, Yanfang Liu, Xinxin Fan, Lanzhi Zhou, Ao Tian, Yunfeng Lu. DTKG: Dual-Track Knowledge Graph-Verified Reasoning Framework for Multi-Hop QA. Forty-third International Conference on Machine Learning, Accepted to appear (Acceptance Rate: 6352/23918=26.6%). [arXiv version] [ ICML 2026] Ao Tian, Yunfeng Lu, Xinxin Fan, Changhao Wang, Lanzhi Zhou, Yeyao Zhang, Yanfang Liu. RGMem: Renormalization Group–inspired Memory Evolution for Language Agents. Forty-third International Conference on Machine Learning, Accepted to appear (Acceptance Rate: 6352/23918=26.6%) [arXiv version] [ ICML 2026] Wenqi Wei, Tiansheng Huang, Sihao Hu, Xinxin Fan, Rui Zhang, Jingya Zhou, Ling Liu. GradCloak: Gradient Obfuscation for Privacy-Preserving Distributed Learning as a Service. IEEE Transactions on Services Computing, 19(2): 1277-1290, 2026. [TSC 2026] Wei Yang, Chi Lin, Jing Deng, Haipeng Dai, Liming Chen, Xinxin Fan. Secure Charging Scheduling in Wireless Rechargeable Sensor. IEEE Transactions on Mobile Computing, 25(2): 1870-1884, 2026. [TMC 2026] Jincai Huang*, Yongjun Xu*, Qi Wang*, Qi (Cheems) Wang*, Xingxing Liang*, Fei Wang*, Zhao Zhang*, Wei Wei*, Boxuan Zhang*, Libo Huang*, Jingru Chang*, Liantao Ma*, Ting Ma*, Yuxuan Liang*, Jie Zhang*, Jian Guo*, Xuhui Jiang*, Xinxin Fan*, Zhulin An*, Tingting Li* (*Co-First Author), et al. Foundation models and intelligent decision-making: Progress, challenges, and perspectives. The Innovation, 6(6): 2666-6758, 100948, 2025 (Cover Paper). [The Innovation 2025] 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. [TCE 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] 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'22] 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] 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 2020] 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%).[SIGKDD'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]. 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. (Best Paper Award/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] 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 2017] 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 Yufeng Qu (MS) Zirui Ding (MS) Mengfan Li (PhD) Men Niu (MS) Shaoye Luo (MS) Tengfei Ma (Co-Supervised MS) Graduated students MS Wenxiong Chen MS Wenbo Song 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 Peer Review ACM Transactions on the Web (TWEB) IEEE Transactions on Services Computing (TSC) ACM Transactions on Internet Technology (TOIT) IEEE Transactions on Neural Networks and Learning Systems (TNNLS) The Innovation (Cell Press Partner Journal) Scientific Reports (Nature Portfolio Journal) Computer Networks (Elsevier) Journal of Computer and System Sciences (Elsevier) SCIENCE CHINA Information Sciences (中国科学.信息科学) ICML'26 AIoTSys'25 IEEE iThings'11