Lixin Fan

ORCID

Publication Activity (10 Years)

Years Active: 2000-2024
Publications (10 Years): 119

Top Venues

CoRR

ICPR

ACM Trans. Intell. Syst. Technol.

ICDE

Publications

Tao Fan, Weijing Chen, Guoqiang Ma, Yan Kang, Lixin Fan, Qiang Yang
SecureBoost+: Large Scale and High-Performance Vertical Federated Gradient Boosting Decision Tree. PAKDD (3) (2024)
Tao Fan, Yan Kang, Weijing Chen, Hanlin Gu, Yuanfeng Song, Lixin Fan, Kai Chen, Qiang Yang
PDSS: A Privacy-Preserving Framework for Step-by-Step Distillation of Large Language Models. CoRR (2024)
Qi Hu, Weifeng Jiang, Haoran Li, Zihao Wang, Jiaxin Bai, Qianren Mao, Yangqiu Song, Lixin Fan, Jianxin Li
FedCQA: Answering Complex Queries on Multi-Source Knowledge Graphs via Federated Learning. CoRR (2024)
Gongxi Zhu, Donghao Li, Hanlin Gu, Yuxing Han, Yuan Yao, Lixin Fan, Qiang Yang
Evaluating Membership Inference Attacks and Defenses in Federated Learning. CoRR (2024)
Qian Chen, Yiqiang Chen, Bingjie Yan, Xinlong Jiang, Xiaojin Zhang, Yan Kang, Teng Zhang, Wuliang Huang, Chenlong Gao, Lixin Fan, Qiang Yang
Model Trip: Enhancing Privacy and Fairness in Model Fusion Across Multi-Federations for Trustworthy Global Healthcare. ICDE (2024)
Xiaojin Zhang, Yan Kang, Lixin Fan, Kai Chen, Qiang Yang
A Meta-Learning Framework for Tuning Parameters of Protection Mechanisms in Trustworthy Federated Learning. ACM Trans. Intell. Syst. Technol. 15 (3) (2024)
Hanlin Gu, Jiahuan Luo, Yan Kang, Yuan Yao, Gongxi Zhu, Bowen Li, Lixin Fan, Qiang Yang
FedAdOb: Privacy-Preserving Federated Deep Learning with Adaptive Obfuscation. CoRR (2024)
Yan Kang, Ziyao Ren, Lixin Fan, Linghua Yang, Yongxin Tong, Qiang Yang
Hyperparameter Optimization for SecureBoost via Constrained Multi-Objective Federated Learning. CoRR (2024)
Hanlin Gu, Gongxi Zhu, Jie Zhang, Xinyuan Zhao, Yuxing Han, Lixin Fan, Qiang Yang
Unlearning during Learning: An Efficient Federated Machine Unlearning Method. CoRR (2024)
Xiaojin Zhang, Yulin Fei, Yan Kang, Wei Chen, Lixin Fan, Hai Jin, Qiang Yang
No Free Lunch Theorem for Privacy-Preserving LLM Inference. CoRR (2024)
Haoran Li, Xinyuan Zhao, Dadi Guo, Hanlin Gu, Ziqian Zeng, Yuxing Han, Yangqiu Song, Lixin Fan, Qiang Yang
Federated Domain-Specific Knowledge Transfer on Large Language Models Using Synthetic Data. CoRR (2024)
Yue Cui, Chung-ju Huang, Yuzhu Zhang, Leye Wang, Lixin Fan, Xiaofang Zhou, Qiang Yang
A Survey on Contribution Evaluation in Vertical Federated Learning. CoRR (2024)
Dashan Gao, Sheng Wan, Lixin Fan, Xin Yao, Qiang Yang
Complementary Knowledge Distillation for Robust and Privacy-Preserving Model Serving in Vertical Federated Learning. AAAI (2024)
Qing Shuai, Zhiyuan Yu, Zhize Zhou, Lixin Fan, Haijun Yang, Can Yang, Xiaowei Zhou
Reconstructing Close Human Interactions from Multiple Views. CoRR (2024)
Hanlin Gu, WinKent Ong, Chee Seng Chan, Lixin Fan
Ferrari: Federated Feature Unlearning via Optimizing Feature Sensitivity. CoRR (2024)
Tao Fan, Guoqiang Ma, Yan Kang, Hanlin Gu, Yuanfeng Song, Lixin Fan, Kai Chen, Qiang Yang
FedMKT: Federated Mutual Knowledge Transfer for Large and Small Language Models. CoRR (2024)
Hanlin Gu, Lixin Fan, Xingxing Tang, Qiang Yang
FedCut: A Spectral Analysis Framework for Reliable Detection of Byzantine Colluders. IEEE Trans. Pattern Anal. Mach. Intell. 46 (9) (2024)
Xiaojin Zhang, Lixin Fan, Siwei Wang, Wenjie Li, Kai Chen, Qiang Yang
A Game-theoretic Framework for Privacy-preserving Federated Learning. ACM Trans. Intell. Syst. Technol. 15 (3) (2024)
Yuanqin He, Yan Kang, Lixin Fan, Qiang Yang
FedEval-LLM: Federated Evaluation of Large Language Models on Downstream Tasks with Collective Wisdom. CoRR (2024)
Hanlin Gu, Jiahuan Luo, Yan Kang, Lixin Fan, Qiang Yang
FedPass: Privacy-Preserving Vertical Federated Deep Learning with Adaptive Obfuscation. IJCAI (2023)
Yan Kang, Tao Fan, Hanlin Gu, Lixin Fan, Qiang Yang
Grounding Foundation Models through Federated Transfer Learning: A General Framework. CoRR (2023)
Qing Shuai, Zhiyuan Yu, Zhize Zhou, Lixin Fan, Haijun Yang, Can Yang, Xiaowei Zhou
Reconstructing Close Human Interactions from Multiple Views. ACM Trans. Graph. 42 (6) (2023)
Mintu Yang, Xianxu Hou, Hao Li, Linlin Shen, Lixin Fan
Learning Adapters for Text-Guided Portrait Stylization with Pretrained Diffusion Models. PRCV (1) (2023)
Qiang Yang, Anbu Huang, Lixin Fan, Chee Seng Chan, Jian Han Lim, Kam Woh Ng, Ding Sheng Ong, Bowen Li
Federated Learning with Privacy-preserving and Model IP-right-protection. Int. J. Autom. Comput. 20 (1) (2023)
Xiaojin Zhang, Yan Kang, Kai Chen, Lixin Fan, Qiang Yang
Trading Off Privacy, Utility, and Efficiency in Federated Learning. ACM Trans. Intell. Syst. Technol. 14 (6) (2023)
Xingxing Tang, Hanlin Gu, Lixin Fan, Qiang Yang
Achieving Provable Byzantine Fault-tolerance in a Semi-honest Federated Learning Setting. PAKDD (2) (2023)
Xiaojin Zhang, Anbu Huang, Lixin Fan, Kai Chen, Qiang Yang
Probably Approximately Correct Federated Learning. CoRR (2023)
Tao Fan, Yan Kang, Guoqiang Ma, Weijing Chen, Wenbin Wei, Lixin Fan, Qiang Yang
FATE-LLM: A Industrial Grade Federated Learning Framework for Large Language Models. CoRR (2023)
Yansheng Wang, Yongxin Tong, Zimu Zhou, Ruisheng Zhang, Sinno Jialin Pan, Lixin Fan, Qiang Yang
Distribution-Regularized Federated Learning on Non-IID Data. ICDE (2023)
Xiaojin Zhang, Lixin Fan, Siwei Wang, Wenjie Li, Kai Chen, Qiang Yang
A Game-theoretic Framework for Federated Learning. CoRR (2023)
Bowen Li, Hanlin Gu, Ruoxin Chen, Jie Li, Chentao Wu, Na Ruan, Xueming Si, Lixin Fan
Temporal Gradient Inversion Attacks with Robust Optimization. CoRR (2023)
Xiaojin Zhang, Yan Kang, Lixin Fan, Kai Chen, Qiang Yang
A Meta-learning Framework for Tuning Parameters of Protection Mechanisms in Trustworthy Federated Learning. CoRR (2023)
Yan Kang, Hanlin Gu, Xingxing Tang, Yuanqin He, Yuzhu Zhang, Jinnan He, Yuxing Han, Lixin Fan, Kai Chen, Qiang Yang
Optimizing Privacy, Utility and Efficiency in Constrained Multi-Objective Federated Learning. CoRR (2023)
Hanlin Gu, Xinyuan Zhao, Yuxing Han, Yan Kang, Lixin Fan, Qiang Yang
A Theoretical Analysis of Efficiency Constrained Utility-Privacy Bi-Objective Optimization in Federated Learning. CoRR (2023)
Ziyao Ren, Yan Kang, Lixin Fan, Linghua Yang, Tao Fan, Yongxin Tong, Qiang Yang
SecureBoost Hyperparameter Tuning via Multi-Objective Federated Learning. CoRR (2023)
Haodi Zhang, Wenxi Huang, Zhenhan Su, Junyang Chen, Di Jiang, Lixin Fan, Chen Zhang, Defu Lian, Kaishun Wu
Hierarchical Crowdsourcing for Data Labeling with Heterogeneous Crowd. ICDE (2023)
Xiaojin Zhang, Hanlin Gu, Lixin Fan, Kai Chen, Qiang Yang
No Free Lunch Theorem for Security and Utility in Federated Learning. ACM Trans. Intell. Syst. Technol. 14 (1) (2023)
Yuanfeng Song, Yuanqin He, Xuefang Zhao, Hanlin Gu, Di Jiang, Haijun Yang, Lixin Fan, Qiang Yang
A Communication Theory Perspective on Prompting Engineering Methods for Large Language Models. CoRR (2023)
Hanlin Gu, Jiahuan Luo, Yan Kang, Lixin Fan, Qiang Yang
FedPass: Privacy-Preserving Vertical Federated Deep Learning with Adaptive Obfuscation. CoRR (2023)
Chaotao Chen, Di Jiang, Jinhua Peng, Rongzhong Lian, Yawen Li, Chen Jason Zhang, Lei Chen, Lixin Fan
Scalable Identity-Oriented Speech Retrieval. IEEE Trans. Knowl. Data Eng. 35 (3) (2023)
Wenyuan Yang, Yuguo Yin, Gongxi Zhu, Hanlin Gu, Lixin Fan, Xiaochun Cao, Qiang Yang
FedZKP: Federated Model Ownership Verification with Zero-knowledge Proof. CoRR (2023)
Jingxia Lu, Xianxu Hou, Hao Li, Zhibin Peng, Linlin Shen, Lixin Fan
MaskDiffuse: Text-Guided Face Mask Removal Based on Diffusion Models. PRCV (6) (2023)
Bowen Li, Lixin Fan, Hanlin Gu, Jie Li, Qiang Yang
FedIPR: Ownership Verification for Federated Deep Neural Network Models. IEEE Trans. Pattern Anal. Mach. Intell. 45 (4) (2023)
Wenyuan Yang, Gongxi Zhu, Yuguo Yin, Hanlin Gu, Lixin Fan, Qiang Yang, Xiaochun Cao
FedSOV: Federated Model Secure Ownership Verification with Unforgeable Signature. CoRR (2023)
Haoran Li, Yangqiu Song, Lixin Fan
You Don't Know My Favorite Color: Preventing Dialogue Representations from Revealing Speakers' Private Personas. NAACL-HLT (2022)
Jeffry Wicaksana, Zengqiang Yan, Xin Yang, Yang Liu, Lixin Fan, Kwang-Ting Cheng
Customized Federated Learning for Multi-Source Decentralized Medical Image Classification. IEEE J. Biomed. Health Informatics 26 (11) (2022)
Xiaojin Zhang, Yan Kang, Kai Chen, Lixin Fan, Qiang Yang
Trading Off Privacy, Utility and Efficiency in Federated Learning. CoRR (2022)
Xiaojin Zhang, Hanlin Gu, Lixin Fan, Kai Chen, Qiang Yang
No Free Lunch Theorem for Security and Utility in Federated Learning. CoRR (2022)
Yichi Zhang, Chao Zhang, Cai Zhang, Lixin Fan, Bei Zeng, Qiang Yang
Federated Learning with Quantum Secure Aggregation. CoRR (2022)
Haodi Zhang, Zhao Chen, Jinyin Nie, Di Jiang, Lixin Fan, Kaishun Wu
Knowledge-Enhanced Learning for KG Embedding. ICPADS (2022)
Lin Zhang, Lixin Fan, Yong Luo, Ling-Yu Duan
Intrinsic Performance Influence-based Participant Contribution Estimation for Horizontal Federated Learning. ACM Trans. Intell. Syst. Technol. 13 (6) (2022)
Yan Kang, Jiahuan Luo, Yuanqin He, Xiaojin Zhang, Lixin Fan, Qiang Yang
A Framework for Evaluating Privacy-Utility Trade-off in Vertical Federated Learning. CoRR (2022)
Lixin Fan, Kam Woh Ng, Chee Seng Chan, Qiang Yang
DeepIPR: Deep Neural Network Ownership Verification With Passports. IEEE Trans. Pattern Anal. Mach. Intell. 44 (10) (2022)
Nannan Wu, Ning Zhang, Wenjun Wang, Lixin Fan, Qiang Yang
FadMan: Federated Anomaly Detection across Multiple Attributed Networks. CoRR (2022)
Yuanqin He, Yan Kang, Jiahuan Luo, Lixin Fan, Qiang Yang
A Hybrid Self-Supervised Learning Framework for Vertical Federated Learning. CoRR (2022)
Yuezhou Wu, Yan Kang, Jiahuan Luo, Yuanqin He, Lixin Fan, Rong Pan, Qiang Yang
FedCG: Leverage Conditional GAN for Protecting Privacy and Maintaining Competitive Performance in Federated Learning. IJCAI (2022)
Haoran Li, Yangqiu Song, Lixin Fan
You Don't Know My Favorite Color: Preventing Dialogue Representations from Revealing Speakers' Private Personas. CoRR (2022)
Jian Han Lim, Chee Seng Chan, KamWoh Ng, Lixin Fan, Qiang Yang
Protect, show, attend and tell: Empowering image captioning models with ownership protection. Pattern Recognit. 122 (2022)
Dongqi Cai, Tao Fan, Yan Kang, Lixin Fan, Mengwei Xu, Shangguang Wang, Qiang Yang
Accelerating Vertical Federated Learning. CoRR (2022)
Shuo Shao, Wenyuan Yang, Hanlin Gu, Jian Lou, Zhan Qin, Lixin Fan, Qiang Yang, Kui Ren
FedTracker: Furnishing Ownership Verification and Traceability for Federated Learning Model. CoRR (2022)
Hanlin Gu, Lixin Fan, Xingxing Tang, Qiang Yang
FedCut: A Spectral Analysis Framework for Reliable Detection of Byzantine Colluders. CoRR (2022)
Quanshi Zhang, Tian Han, Lixin Fan, Zhanxing Zhu, Hang Su, Ying Nian Wu, Jie Ren, Hao Zhang
Proceedings of ICML 2021 Workshop on Theoretic Foundation, Criticism, and Application Trend of Explainable AI. CoRR (2021)
Chaotao Chen, Di Jiang, Jinhua Peng, Rongzhong Lian, Chen Jason Zhang, Qian Xu, Lixin Fan, Qiang Yang
A Health-friendly Speaker Verification System Supporting Mask Wearing. AAAI (2021)
Lixin Fan, Bowen Li, Hanlin Gu, Jie Li, Qiang Yang
FedIPR: Ownership Verification for Federated Deep Neural Network Models. CoRR (2021)
Yuanfeng Song, Di Jiang, Xuefang Zhao, Qian Xu, Raymond Chi-Wing Wong, Lixin Fan, Qiang Yang
L2RS: A Learning-to-Rescore Mechanism for Hybrid Speech Recognition. ACM Multimedia (2021)
Chun Chet Ng, Akmalul Khairi Bin Nazaruddin, Yeong Khang Lee, Xinyu Wang, Yuliang Liu, Chee Seng Chan, Lianwen Jin, Yipeng Sun, Lixin Fan
ICDAR 2021 Competition on Integrated Circuit Text Spotting and Aesthetic Assessment. CoRR (2021)
Hanlin Gu, Lixin Fan, Bowen Li, Yan Kang, Yuan Yao, Qiang Yang
Federated Deep Learning with Bayesian Privacy. CoRR (2021)
Ding Sheng Ong, Chee Seng Chan, KamWoh Ng, Lixin Fan, Qiang Yang
Protecting Intellectual Property of Generative Adversarial Networks From Ambiguity Attacks. CVPR (2021)
Ding Sheng Ong, Chee Seng Chan, KamWoh Ng, Lixin Fan, Qiang Yang
Protecting Intellectual Property of Generative Adversarial Networks from Ambiguity Attack. CoRR (2021)
Shengbin Wang, Zhimin Wang, Guolong Cui, Shangshang Shi, Ruimin Shang, Lixin Fan, Wendong Li, Zhiqiang Wei, Yongjian Gu
Fast black-box quantum state preparation based on linear combination of unitaries. Quantum Inf. Process. 20 (8) (2021)
Chang Liu, Lixin Fan, KamWoh Ng, Yilun Jin, Ce Ju, Tianyu Zhang, Chee Seng Chan, Qiang Yang
Ternary Hashing. CoRR (2021)
Chun Chet Ng, Akmalul Khairi Bin Nazaruddin, Yeong Khang Lee, Xinyu Wang, Yuliang Liu, Chee Seng Chan, Lianwen Jin, Yipeng Sun, Lixin Fan
ICDAR 2021 Competition on Integrated Circuit Text Spotting and Aesthetic Assessment. ICDAR (4) (2021)
Lixin Fan, KamWoh Ng, Ce Ju, Tianyu Zhang, Chee Seng Chan
Deep Polarized Network for Supervised Learning of Accurate Binary Hashing Codes. IJCAI (2020)
Shengbin Wang, Zhimin Wang, Wendong Li, Lixin Fan, Guolong Cui, Zhiqiang Wei, Yongjian Gu
Quantum circuits design for evaluating transcendental functions based on a function-value binary expansion method. Quantum Inf. Process. 19 (9) (2020)
Lixin Fan, KamWoh Ng, Ce Ju, Tianyu Zhang, Chang Liu, Chee Seng Chan, Qiang Yang
Rethinking Privacy Preserving Deep Learning: How to Evaluate and Thwart Privacy Attacks. CoRR (2020)
Yilun Jin, Lixin Fan, KamWoh Ng, Ce Ju, Qiang Yang
Rethinking Uncertainty in Deep Learning: Whether and How it Improves Robustness. CoRR (2020)
Lixin Fan, Diana Marculescu, Werner Bailer, Yurong Chen
Editorial: Special Issue on Compact Deep Neural Networks With Industrial Applications. IEEE J. Sel. Top. Signal Process. 14 (4) (2020)
Lixin Fan, Chang Liu, Yuhao Zhou, Tianyu Zhang, Qiang Yang
Interpreting and Evaluating Black Box Models in a Customizable Way. IEEE BigData (2020)
Shengbin Wang, Zhimin Wang, Wendong Li, Lixin Fan, Zhiqiang Wei, Yongjian Gu
Quantum fast Poisson solver: the algorithm and complete and modular circuit design. Quantum Inf. Process. 19 (6) (2020)
Jian Han Lim, Chee Seng Chan, KamWoh Ng, Lixin Fan, Qiang Yang
Protect, Show, Attend and Tell: Image Captioning Model with Ownership Protection. CoRR (2020)
Quan Li, Huanbin Lin, Xiguang Wei, Yangkun Huang, Lixin Fan, Jian Du, Xiaojuan Ma, Tianjian Chen
MaraVis: Representation and Coordinated Intervention of Medical Encounters in Urban Marathon. CHI (2020)
Lixin Fan, KamWoh Ng, Chee Seng Chan
Rethinking Deep Neural Network Ownership Verification: Embedding Passports to Defeat Ambiguity Attacks. CoRR (2019)
Lixin Fan, KamWoh Ng, Chee Seng Chan
Digital Passport: A Novel Technological Strategy for Intellectual Property Protection of Convolutional Neural Networks. CoRR (2019)
Xiaoshui Huang, Lixin Fan, Qiang Wu, Jian Zhang, Chun Yuan
Fast Registration for Cross-Source Point Clouds by using Weak Regional Affinity and Pixel-Wise Refinement. ICME (2019)
Tinghuai Wang, Lixin Fan, Huiling Wang
Simultaneously Learning Architectures and Features of Deep Neural Networks. CoRR (2019)
KamWoh Ng, Lixin Fan, Chee Seng Chan
A Universal Logic Operator for Interpretable Deep Convolution Networks. CoRR (2019)
Tinghuai Wang, Lixin Fan, Huiling Wang
Simultaneously Learning Architectures and Features of Deep Neural Networks. ICANN (2) (2019)
Lixin Fan, KamWoh Ng, Chee Seng Chan
Rethinking Deep Neural Network Ownership Verification: Embedding Passports to Defeat Ambiguity Attacks. NeurIPS (2019)
Quanshi Zhang, Lixin Fan, Bolei Zhou
Proceedings of AAAI 2019 Workshop on Network Interpretability for Deep Learning. CoRR (2019)
Yuanfeng Song, Di Jiang, Xuefang Zhao, Qian Xu, Raymond Chi-Wing Wong, Lixin Fan, Qiang Yang
L2RS: A Learning-to-Rescore Mechanism for Automatic Speech Recognition. CoRR (2019)
Xiaoshui Huang, Lixin Fan, Qiang Wu, Jian Zhang, Chun Yuan
Fast Registration for cross-source point clouds by using weak regional affinity and pixel-wise refinement. CoRR (2019)
Lixin Fan
Deep Epitome for Unravelling Generalized Hamming Network. ICPR (2018)
Peter Fasogbon, Lixin Fan
Generic calibration of cameras with non-parallel optical elements. ICPR (2018)
Wenyan Yang, Yanlin Qian, Joni-Kristian Kamarainen, Francesco Cricri, Lixin Fan
Object Detection in Equirectangular Panorama. ICPR (2018)
Çaglar Aytekin, Xingyang Ni, Francesco Cricri, Lixin Fan, Emre Aksu
Memory-Efficient Deep Salient Object Segmentation Networks on Gridized Superpixels. MMSP (2018)
Ugur Kart, Joni-Kristian Kämäräinen, Lixin Fan, Moncef Gabbouj
Evaluation of Visual Object Trackers on Equirectangular Panorama. VISIGRAPP (5: VISAPP) (2018)
Ugur Kart, Joni-Kristian Kämäräinen, Jiri Matas, Lixin Fan, Francesco Cricri
Depth Masked Discriminative Correlation Filter. CoRR (2018)
Ugur Kart, Joni-Kristian Kamarainen, Jiri Matas, Lixin Fan, Francesco Cricri
Depth Masked Discriminative Correlation Filter. ICPR (2018)
Xiaoshui Huang, Jian Zhang, Qiang Wu, Lixin Fan, Chun Yuan
A Coarse-to-Fine Algorithm for Matching and Registration in 3D Cross-Source Point Clouds. IEEE Trans. Circuits Syst. Video Technol. 28 (10) (2018)
Wenyan Yang, Yanlin Qian, Francesco Cricri, Lixin Fan, Joni-Kristian Kamarainen
Object Detection in Equirectangular Panorama. CoRR (2018)

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Publication Activity (10 Years)

Top Topics

Top Venues

Lixin Fan