A Combined Feature-Texture Similarity Measure for Face Alignment under. - Lixin Fan; Kah Kay Sung (CVPR, 2000)

Model-based varying pose face detection and facial feature registration in video images. - Lixin Fan; Kah Kay Sung (ACM Multimedia, 2000)

Binarizing Document Image Using Coplanar Prefilter. - Liying Fan; Lixin Fan; Chew Lim Tan (ICDAR, 2001)

Edge-preserving prefiltering for document image binarization. - Liying Fan; Chew Lim Tan; Lixin Fan (ICIP (1), 2001)

Adaptive image restoration using structure tensors. - Lixin Fan; Liying Fan; Chew Lim Tan (ICIP (1), 2002)

Wavelet Diffusion for Document Image Denoising. - Lixin Fan; Liying Fan; Chew Lim Tan (ICDAR, 2003)

A diffusion process for wavelet-transform-based image denoising and its application to document image binarization. - Lixin Fan; Liying Fan; Chew Lim Tan (ICIP (3), 2003)

Adaptive image-smoothing using a coplanar matrix and its application to document image binarization. - Lixin Fan; Liying Fan; Chew Lim Tan (Int. J. Document Anal. Recognit., 2003)

Pedestrian registration in static images with unconstrained background. - Lixin Fan; Kah Kay Sung; Teck Khim Ng (Pattern Recognit., 2003)

Model-based varying pose face detection and facial feature registration in colour images. - Lixin Fan; Kah Kay Sung (Pattern Recognit. Lett., 2003)

Intra-class variation, affine transformation and background clutter: towards robust image matching. - Lixin Fan (ICIG, 2004)

Color reconstruction in digital cameras: optimization for document images. - Christopher R. Dance; Lixin Fan (Int. J. Document Anal. Recognit., 2005)

Hill Climbing Algorithm for Random Sample Consensus Methods. - Timo Pylvänäinen; Lixin Fan (ISVC (1), 2007)

An efficient parallel algorithm for hexagonal-based fractal image compression. - Ghim Hwee Ong; Lixin Fan (Int. J. Comput. Math., 2007)

Robust Scale Estimation from Ensemble Inlier Sets for Random Sample Consensus Methods. - Lixin Fan; Timo Pylvänäinen (ECCV (3), 2008)

Efficient Random Sampling for Nonrigid Feature Matching. - Lixin Fan; Timo Pylvänäinen (ISVC (1), 2009)

Adaptive Sample Consensus for Efficient Random Optimization. - Lixin Fan; Timo Pylvänäinen (ISVC (2), 2009)

Revisiting the PnP Problem with a GPS. - Timo Pylvänäinen; Lixin Fan; Vincent Lepetit (ISVC (1), 2009)

PCA-based structure refinement for reconstruction of urban scene. - Qinxun Bai; Yihong Wu 002; Lixin Fan (ICIP, 2010)

Animation pyramid for efficient image database browsing. - Lixin Fan (ICIP, 2010)

A feature-based object tracking approach for realtime image processing on mobile devices. - Lixin Fan; Mikko Riihimaki; Iivari Kunttu (ICIP, 2010)

Real-time object tracking on mobile phones. - Juan Lei; Youji Feng; Lixin Fan; Yihong Wu 002 (ACPR, 2011)

A Feature-Based Object Tracking Method Using Online Template Switching and Feature Adaptation. - Lixin Fan (ICIG, 2011)

Graph Partition Based Bundle Adjustment for Structured Dataset. - Yuanfan Xie; Lixin Fan; Yihong Wu 002 (ICIG, 2011)

Head-tracking virtual 3-D display for mobile devices. - Miguel Bordallo López; Jari Hannuksela; Olli Silvén; Lixin Fan (CVPR Workshops, 2012)

On-line Object Reconstruction and Tracking for 3D Interaction. - Youji Feng; Yihong Wu 002; Lixin Fan (ICME, 2012)

In-Situ Web Mashup and Hypermedia Support for Mobile Vision-Based AR Applications. - Yu You; Lixin Fan; Ville-Veikko Mattila; Alain Boyer; Tuomas Kantonen (GreenCom/iThings/CPScom, 2013)

Supervised Binary Hash Code Learning with Jensen Shannon Divergence. - Lixin Fan (ICCV, 2013)

Semantic Parsing of Street Scene Images Using 3D LiDAR Point Cloud. - Pouria Babahajiani; Lixin Fan; Moncef Gabbouj (ICCV Workshops, 2013)

Augmented and interactive video playback based on global camera pose. - Junsheng Fu; Lixin Fan; Yu You; Kimmo Roimela (ACM Multimedia, 2013)

Finger Tracking for Gestural Interaction in Mobile Devices. - Matti Matilainen; Jari Hannuksela; Lixin Fan (SCIA, 2013)

Simple Octree Solution for Multi-resolution LiDAR Processing and Visualisation. - Yu You; Lixin Fan; Kimmo Roimela; Ville-Veikko Mattila (CIT, 2014)

Object Recognition in 3D Point Cloud of Urban Street Scene. - Pouria Babahajiani; Lixin Fan; Moncef Gabbouj (ACCV Workshops (1), 2014)

Online Learning of Binary Feature Indexing for Real-Time SLAM Relocalization. - Youji Feng; Yihong Wu 002; Lixin Fan (ACCV Workshops (1), 2014)

A 3D map augmented photo gallery application on mobile device. - Junsheng Fu; Lixin Fan; Kimmo Roimela; Yu You; Ville-Veikko Mattila (ICIP, 2014)

Street view cross-sourced point cloud matching and registration. - Furong Peng; Qiang Wu 001; Lixin Fan; Jian Zhang 002; Yu You; Jianfeng Lu 003; Jing-Yu Yang 001 (ICIP, 2014)

Efficient pose tracking on mobile phones with 3D points grouping. - Juan Lei; Zhenhua Wang; Yihong Wu 002; Lixin Fan (ICME, 2014)

Dense Correspondence Using Non-Local DAISY Forest. - Xiaoshui Huang; Jian Zhang 002; Qiang Wu 001; Chun Yuan; Lixin Fan (DICTA, 2015)

Robust interactive image segmentation with weak supervision for mobile touch screen devices. - Tinghuai Wang; Huiling Wang; Lixin Fan (ICME, 2015)

Automated super-voxel based features classification of urban environments by integrating 3D point cloud and image content. - Pouria Babahajiani; Lixin Fan; Joni-Kristian Kamarainen; Moncef Gabbouj (ICSIPA, 2015)

Using the Similarity Measure between Intuitionistic Fuzzy Sets for the Application on Pattern Recognitions. - Lixin Fan (Int. J. Cogn. Informatics Nat. Intell., 2015)

A weakly supervised geodesic level set framework for interactive image segmentation. - Tinghuai Wang; Huiling Wang; Lixin Fan (Neurocomputing, 2015)

Comprehensive Automated 3D Urban Environment Modelling Using Terrestrial Laser Scanning Point Cloud. - Pouria Babahajiani; Lixin Fan; Joni-Kristian Kamarainen; Moncef Gabbouj (CVPR Workshops, 2016)

Real Time Complete Dense Depth Reconstruction for a Monocular Camera. - Xiaoshui Huang; Lixin Fan; Jian Zhang 002; Qiang Wu 001; Chun Yuan (CVPR Workshops, 2016)

A Coarse-to-Fine Algorithm for Registration in 3D Street-View Cross-Source Point Clouds. - Xiaoshui Huang; Jian Zhang 002; Qiang Wu 001; Lixin Fan; Chun Yuan (DICTA, 2016)

Global Scale Integral Volumes. - Sounak Bhattacharya; Lixin Fan; Pouria Babahajiani; Moncef Gabbouj (ECCV Workshops (1), 2016)

Accurate Robust and Efficient Error Estimation for Decision Trees. - Lixin Fan (ICML, 2016)

Weighted fuzzy track association method based on Dempster-Shafer theory in distributed sensor networks. - Lixin Fan; En Fan; Changhong Yuan; Keli Hu (Int. J. Distributed Sens. Networks, 2016)

Fast Localization in Large-Scale Environments Using Supervised Indexing of Binary Features. - Youji Feng; Lixin Fan; Yihong Wu 002 (IEEE Trans. Image Process., 2016)

Revisit Fuzzy Neural Network: Demystifying Batch Normalization and ReLU with Generalized Hamming Network. - Lixin Fan (NIPS, 2017)

Happy Travelers Take Big Pictures: A Psychological Study with Machine Learning and Big Data. - Xuefeng Liang; Lixin Fan; Yuen Peng Loh; Yang Liu; Song Tong (CoRR, 2017)

Deep Epitome for Unravelling Generalized Hamming Network: A Fuzzy Logic Interpretation of Deep Learning. - Lixin Fan (CoRR, 2017)

Urban 3D segmentation and modelling from street view images and LiDAR point clouds. - Pouria Babahajiani; Lixin Fan; Joni-Kristian Kämäräinen; Moncef Gabbouj (Mach. Vis. Appl., 2017)

Real-time SLAM relocalization with online learning of binary feature indexing. - Youji Feng; Yihong Wu 002; Lixin Fan (Mach. Vis. Appl., 2017)

A Systematic Approach for Cross-Source Point Cloud Registration by Preserving Macro and Micro Structures. - Xiaoshui Huang; Jian Zhang 002; Lixin Fan; Qiang Wu 001; Chun Yuan (IEEE Trans. Image Process., 2017)

Deep Epitome for Unravelling Generalized Hamming Network. - Lixin Fan (ICPR, 2018)

Generic calibration of cameras with non-parallel optical elements. - Peter Fasogbon; Lixin Fan (ICPR, 2018)

Automatic Feature Extraction for Wide-angle and Fish-eye Camera Calibration. - Peter Fasogbon; Lixin Fan (ICPR, 2018)

Depth Masked Discriminative Correlation Filter. - Ugur Kart; Joni-Kristian Kamarainen; Jiri Matas; Lixin Fan; Francesco Cricri (ICPR, 2018)

Object Detection in Equirectangular Panorama. - Wenyan Yang; Yanlin Qian; Joni-Kristian Kamarainen; Francesco Cricri; Lixin Fan (ICPR, 2018)

Memory-Efficient Deep Salient Object Segmentation Networks on Gridized Superpixels. - Çaglar Aytekin; Xingyang Ni; Francesco Cricri; Lixin Fan; Emre Aksu (MMSP, 2018)

Evaluation of Visual Object Trackers on Equirectangular Panorama. - Ugur Kart; Joni-Kristian Kämäräinen; Lixin Fan; Moncef Gabbouj (VISIGRAPP (5: VISAPP), 2018)

A Theoretical Investigation of Graph Degree as an Unsupervised Normality Measure. - Çaglar Aytekin; Francesco Cricri; Lixin Fan; Emre Aksu (CoRR, 2018)

A Coarse-to-Fine Algorithm for Matching and Registration in 3D Cross-Source Point Clouds. - Xiaoshui Huang; Jian Zhang 002; Qiang Wu 001; Lixin Fan; Chun Yuan (IEEE Trans. Circuits Syst. Video Technol., 2018)

Simultaneously Learning Architectures and Features of Deep Neural Networks. - Tinghuai Wang; Lixin Fan; Huiling Wang (ICANN (2), 2019)

Fast Registration for Cross-Source Point Clouds by using Weak Regional Affinity and Pixel-Wise Refinement. - Xiaoshui Huang; Lixin Fan; Qiang Wu 001; Jian Zhang 002; Chun Yuan (ICME, 2019)

Rethinking Deep Neural Network Ownership Verification: Embedding Passports to Defeat Ambiguity Attacks. - Lixin Fan; Kam Woh Ng; Chee Seng Chan (NeurIPS, 2019)

A Universal Logic Operator for Interpretable Deep Convolution Networks. - Kam Woh Ng; Lixin Fan; Chee Seng Chan (CoRR, 2019)

Proceedings of AAAI 2019 Workshop on Network Interpretability for Deep Learning. - Quanshi Zhang; Lixin Fan; Bolei Zhou (CoRR, 2019)

Digital Passport: A Novel Technological Strategy for Intellectual Property Protection of Convolutional Neural Networks. - Lixin Fan; Kam Woh Ng; Chee Seng Chan (CoRR, 2019)

L2RS: A Learning-to-Rescore Mechanism for Automatic Speech Recognition. - Yuanfeng Song; Di Jiang; Xuefang Zhao; Qian Xu 005; Raymond Chi-Wing Wong; Lixin Fan; Qiang Yang 001 (CoRR, 2019)

Interpreting and Evaluating Black Box Models in a Customizable Way. - Lixin Fan; Chang Liu 069; Yuhao Zhou; Tianyu Zhang; Qiang Yang 001 (IEEE BigData, 2020)

MaraVis: Representation and Coordinated Intervention of Medical Encounters in Urban Marathon. - Quan Li; Huanbin Lin; Xiguang Wei; Yangkun Huang; Lixin Fan; Jian Du; Xiaojuan Ma; Tianjian Chen (CHI, 2020)

Deep Polarized Network for Supervised Learning of Accurate Binary Hashing Codes. - Lixin Fan; Kam Woh Ng; Ce Ju; Tianyu Zhang; Chee Seng Chan (IJCAI, 2020)

Rethinking Privacy Preserving Deep Learning: How to Evaluate and Thwart Privacy Attacks. - Lixin Fan; Kam Woh Ng; Ce Ju; Tianyu Zhang; Chang Liu 069; Chee Seng Chan; Qiang Yang 001 (CoRR, 2020)

Protect, Show, Attend and Tell: Image Captioning Model with Ownership Protection. - Jian Han Lim; Chee Seng Chan; Kam Woh Ng; Lixin Fan; Qiang Yang 001 (CoRR, 2020)

Rethinking Uncertainty in Deep Learning: Whether and How it Improves Robustness. - Yilun Jin; Lixin Fan; Kam Woh Ng; Ce Ju; Qiang Yang 001 (CoRR, 2020)

Editorial: Special Issue on Compact Deep Neural Networks With Industrial Applications. - Lixin Fan; Diana Marculescu; Werner Bailer; Yurong Chen 001 (IEEE J. Sel. Top. Signal Process., 2020)

Quantum circuits design for evaluating transcendental functions based on a function-value binary expansion method. - Shengbin Wang; Zhimin Wang; Wendong Li; Lixin Fan; Guolong Cui; Zhiqiang Wei 002; Yongjian Gu (Quantum Inf. Process., 2020)

Quantum fast Poisson solver: the algorithm and complete and modular circuit design. - Shengbin Wang; Zhimin Wang; Wendong Li; Lixin Fan; Zhiqiang Wei 002; Yongjian Gu (Quantum Inf. Process., 2020)

Rethinking Privacy Preserving Deep Learning: How to Evaluate and Thwart Privacy Attacks. - Lixin Fan; Kam Woh Ng; Ce Ju; Tianyu Zhang; Chang Liu 069; Chee Seng Chan; Qiang Yang 001 (Federated Learning, 2020)

A Health-friendly Speaker Verification System Supporting Mask Wearing. - Chaotao Chen; Di Jiang; Jinhua Peng; Rongzhong Lian; Chen Jason Zhang; Qian Xu 005; Lixin Fan; Qiang Yang 001 (AAAI, 2021)

Protecting Intellectual Property of Generative Adversarial Networks From Ambiguity Attacks. - Ding Sheng Ong; Chee Seng Chan; Kam Woh Ng; Lixin Fan; Qiang Yang 001 (CVPR, 2021)

ICDAR 2021 Competition on Integrated Circuit Text Spotting and Aesthetic Assessment. - Chun Chet Ng; Akmalul Khairi Bin Nazaruddin; Yeong Khang Lee; Xinyu Wang 010; Yuliang Liu; Chee Seng Chan; Lianwen Jin; Yipeng Sun; Lixin Fan (ICDAR (4), 2021)

L2RS: A Learning-to-Rescore Mechanism for Hybrid Speech Recognition. - Yuanfeng Song; Di Jiang; Xuefang Zhao; Qian Xu 005; Raymond Chi-Wing Wong; Lixin Fan; Qiang Yang 001 (ACM Multimedia, 2021)

Protecting Intellectual Property of Generative Adversarial Networks from Ambiguity Attack. - Ding Sheng Ong; Chee Seng Chan; Kam Woh Ng; Lixin Fan; Qiang Yang 001 (CoRR, 2021)

Ternary Hashing. - Chang Liu 069; Lixin Fan; Kam Woh Ng; Yilun Jin; Ce Ju; Tianyu Zhang; Chee Seng Chan; Qiang Yang 001 (CoRR, 2021)

Proceedings of ICML 2021 Workshop on Theoretic Foundation, Criticism, and Application Trend of Explainable AI. - Quanshi Zhang; Tian Han 001; Lixin Fan; Zhanxing Zhu; Hang Su; Ying Nian Wu; Jie Ren 018; Hao Zhang 063 (CoRR, 2021)

Federated Deep Learning with Bayesian Privacy. - Hanlin Gu; Lixin Fan; Bowen Li 013; Yan Kang 001; Yuan Yao 011; Qiang Yang 001 (CoRR, 2021)

Fast black-box quantum state preparation based on linear combination of unitaries. - Shengbin Wang; Zhimin Wang; Guolong Cui; Shangshang Shi; Ruimin Shang; Lixin Fan; Wendong Li; Zhiqiang Wei 002; Yongjian Gu (Quantum Inf. Process., 2021)

Knowledge-Enhanced Learning for KG Embedding. - Haodi Zhang; Zhao Chen; Jinyin Nie; Di Jiang; Lixin Fan; Kaishun Wu (ICPADS, 2022)

FedCG: Leverage Conditional GAN for Protecting Privacy and Maintaining Competitive Performance in Federated Learning. - Yuezhou Wu; Yan Kang 001; Jiahuan Luo; Yuanqin He; Lixin Fan; Rong Pan; Qiang Yang 001 (IJCAI, 2022)

You Don't Know My Favorite Color: Preventing Dialogue Representations from Revealing Speakers' Private Personas. - Haoran Li 003; Yangqiu Song; Lixin Fan (NAACL-HLT, 2022)

FadMan: Federated Anomaly Detection across Multiple Attributed Networks. - Nannan Wu; Ning Zhang; Wenjun Wang 002; Lixin Fan; Qiang Yang 001 (CoRR, 2022)

Federated Learning with Quantum Secure Aggregation. - Yichi Zhang; Chao Zhang; Cai Zhang; Lixin Fan; Bei Zeng; Qiang Yang 001 (CoRR, 2022)

A Hybrid Self-Supervised Learning Framework for Vertical Federated Learning. - Yuanqin He; Yan Kang 001; Jiahuan Luo; Lixin Fan; Qiang Yang 001 (CoRR, 2022)

A Framework for Evaluating Privacy-Utility Trade-off in Vertical Federated Learning. - Yan Kang 001; Jiahuan Luo; Yuanqin He; Xiaojin Zhang 002; Lixin Fan; Qiang Yang 001 (CoRR, 2022)

FedTracker: Furnishing Ownership Verification and Traceability for Federated Learning Model. - Shuo Shao 002; Wenyuan Yang; Hanlin Gu; Jian Lou 001; Zhan Qin; Lixin Fan; Qiang Yang 001; Kui Ren 001 (CoRR, 2022)

DeepIPR: Deep Neural Network Ownership Verification With Passports. - Lixin Fan; Kam Woh Ng; Chee Seng Chan; Qiang Yang 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

Protect, show, attend and tell: Empowering image captioning models with ownership protection. - Jian Han Lim; Chee Seng Chan; Kam Woh Ng; Lixin Fan; Qiang Yang 001 (Pattern Recognit., 2022)

Intrinsic Performance Influence-based Participant Contribution Estimation for Horizontal Federated Learning. - Lin Zhang 014; Lixin Fan; Yong Luo 002; Ling-Yu Duan (ACM Trans. Intell. Syst. Technol., 2022)

Customized Federated Learning for Multi-Source Decentralized Medical Image Classification. - Jeffry Wicaksana; Zengqiang Yan; Xin Yang 008; Yang Liu 165; Lixin Fan; Kwang-Ting Cheng (IEEE J. Biomed. Health Informatics, 2022)

Distribution-Regularized Federated Learning on Non-IID Data. - Yansheng Wang; Yongxin Tong; Zimu Zhou; Ruisheng Zhang; Sinno Jialin Pan; Lixin Fan; Qiang Yang 001 (ICDE, 2023)

Hierarchical Crowdsourcing for Data Labeling with Heterogeneous Crowd. - Haodi Zhang; Wenxi Huang; Zhenhan Su; Junyang Chen 001; Di Jiang; Lixin Fan; Chen Zhang 013; Defu Lian; Kaishun Wu (ICDE, 2023)

FedPass: Privacy-Preserving Vertical Federated Deep Learning with Adaptive Obfuscation. - Hanlin Gu; Jiahuan Luo; Yan Kang 001; Lixin Fan; Qiang Yang 001 (IJCAI, 2023)

Achieving Provable Byzantine Fault-tolerance in a Semi-honest Federated Learning Setting. - Xingxing Tang; Hanlin Gu; Lixin Fan; Qiang Yang 001 (PAKDD (2), 2023)

MaskDiffuse: Text-Guided Face Mask Removal Based on Diffusion Models. - Jingxia Lu; Xianxu Hou; Hao Li; Zhibin Peng; Linlin Shen; Lixin Fan (PRCV (6), 2023)

Learning Adapters for Text-Guided Portrait Stylization with Pretrained Diffusion Models. - Mintu Yang; Xianxu Hou; Hao Li; Linlin Shen; Lixin Fan (PRCV (1), 2023)

Probably Approximately Correct Federated Learning. - Xiaojin Zhang 002; Anbu Huang; Lixin Fan; Kai Chen 005; Qiang Yang 001 (CoRR, 2023)

A Game-theoretic Framework for Federated Learning. - Xiaojin Zhang 002; Lixin Fan; Siwei Wang; Wenjie Li 008; Kai Chen 005; Qiang Yang 001 (CoRR, 2023)

Optimizing Privacy, Utility and Efficiency in Constrained Multi-Objective Federated Learning. - Yan Kang 001; Hanlin Gu; Xingxing Tang; Yuanqin He; Yuzhu Zhang; Jinnan He; Yuxing Han 001; Lixin Fan; Kai Chen 005; Qiang Yang 001 (CoRR, 2023)

FedZKP: Federated Model Ownership Verification with Zero-knowledge Proof. - Wenyuan Yang; Yuguo Yin; Gongxi Zhu; Hanlin Gu; Lixin Fan; Xiaochun Cao; Qiang Yang 001 (CoRR, 2023)

FedSOV: Federated Model Secure Ownership Verification with Unforgeable Signature. - Wenyuan Yang; Gongxi Zhu; Yuguo Yin; Hanlin Gu; Lixin Fan; Qiang Yang 001; Xiaochun Cao (CoRR, 2023)

SecureBoost Hyperparameter Tuning via Multi-Objective Federated Learning. - Ziyao Ren; Yan Kang 001; Lixin Fan; Linghua Yang; Tao Fan 002; Yongxin Tong; Qiang Yang 001 (CoRR, 2023)

FATE-LLM: A Industrial Grade Federated Learning Framework for Large Language Models. - Tao Fan 002; Yan Kang 001; Guoqiang Ma; Weijing Chen; Wenbin Wei 010; Lixin Fan; Qiang Yang 001 (CoRR, 2023)

A Communication Theory Perspective on Prompting Engineering Methods for Large Language Models. - Yuanfeng Song; Yuanqin He; Xuefang Zhao; Hanlin Gu; Di Jiang; Haijun Yang; Lixin Fan; Qiang Yang 001 (CoRR, 2023)

Grounding Foundation Models through Federated Transfer Learning: A General Framework. - Yan Kang 001; Tao Fan 002; Hanlin Gu; Lixin Fan; Qiang Yang 001 (CoRR, 2023)

A Theoretical Analysis of Efficiency Constrained Utility-Privacy Bi-Objective Optimization in Federated Learning. - Hanlin Gu; Xinyuan Zhao; Yuxing Han 001; Yan Kang 001; Lixin Fan; Qiang Yang 001 (CoRR, 2023)

Federated Learning with Privacy-preserving and Model IP-right-protection. - Qiang Yang 001; Anbu Huang; Lixin Fan; Chee Seng Chan; Jian Han Lim; Kam Woh Ng; Ding Sheng Ong; Bowen Li 013 (Int. J. Autom. Comput., 2023)

No Free Lunch Theorem for Security and Utility in Federated Learning. - Xiaojin Zhang 002; Hanlin Gu; Lixin Fan; Kai Chen 005; Qiang Yang 001 (ACM Trans. Intell. Syst. Technol., 2023)

Scalable Identity-Oriented Speech Retrieval. - Chaotao Chen; Di Jiang; Jinhua Peng; Rongzhong Lian; Yawen Li 001; Chen Jason Zhang; Lei Chen 002; Lixin Fan (IEEE Trans. Knowl. Data Eng., 2023)

FedIPR: Ownership Verification for Federated Deep Neural Network Models. - Bowen Li 013; Lixin Fan; Hanlin Gu; Jie Li 002; Qiang Yang 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Trading Off Privacy, Utility, and Efficiency in Federated Learning. - Xiaojin Zhang 002; Yan Kang 001; Kai Chen 005; Lixin Fan; Qiang Yang 001 (ACM Trans. Intell. Syst. Technol., 2023)

Reconstructing Close Human Interactions from Multiple Views. - Qing Shuai; Zhiyuan Yu 006; Zhize Zhou; Lixin Fan; Haijun Yang; Can Yang 002; Xiaowei Zhou 001 (ACM Trans. Graph., 2023)

Complementary Knowledge Distillation for Robust and Privacy-Preserving Model Serving in Vertical Federated Learning. - Dashan Gao 002; Sheng Wan; Lixin Fan; Xin Yao; Qiang Yang 001 (AAAI, 2024)

Diffusion-Driven Data Replay: A Novel Approach to Combat Forgetting in Federated Class Continual Learning. - Jinglin Liang; Jin Zhong; Hanlin Gu; Zhongqi Lu; Xingxing Tang; Gang Dai 002; Shuangping Huang; Lixin Fan; Qiang Yang 001 (ECCV (30), 2024)

Byzantine Robust Aggregation in Federated Distillation with Adversaries. - Wenrui Li; Hanlin Gu; Sheng Wan; Zhirong Luan; Wei Xi; Lixin Fan; Qiang Yang 001; Badong Chen (ICDCS, 2024)

Model Trip: Enhancing Privacy and Fairness in Model Fusion Across Multi-Federations for Trustworthy Global Healthcare. - Qian Chen; Yiqiang Chen 001; Bingjie Yan; Xinlong Jiang; Xiaojin Zhang 002; Yan Kang 001; Teng Zhang; Wuliang Huang; Chenlong Gao; Lixin Fan; Qiang Yang 001 (ICDE, 2024)

Unlearning during Learning: An Efficient Federated Machine Unlearning Method. - Hanlin Gu; Gongxi Zhu; Jie Zhang 078; Xinyuan Zhao; Yuxing Han 001; Lixin Fan; Qiang Yang 001 (IJCAI, 2024)

Ferrari: Federated Feature Unlearning via Optimizing Feature Sensitivity. - Hanlin Gu; WinKent Ong; Chee Seng Chan; Lixin Fan (NeurIPS, 2024)

SecureBoost+: Large Scale and High-Performance Vertical Federated Gradient Boosting Decision Tree. - Tao Fan 002; Weijing Chen; Guoqiang Ma; Yan Kang 001; Lixin Fan; Qiang Yang 001 (PAKDD (3), 2024)

Label Privacy Source Coding in Vertical Federated Learning. - Dashan Gao 002; Sheng Wan; Hanlin Gu; Lixin Fan; Xin Yao; Qiang Yang 001 (ECML/PKDD (1), 2024)

Evaluating Membership Inference Attacks and Defenses in Federated Learning. - Gongxi Zhu; Donghao Li; Hanlin Gu; Yuxing Han 001; Yuan Yao 011; Lixin Fan; Qiang Yang 001 (CoRR, 2024)

FedCQA: Answering Complex Queries on Multi-Source Knowledge Graphs via Federated Learning. - Qi Hu; Weifeng Jiang; Haoran Li 003; Zihao Wang 001; Jiaxin Bai; Qianren Mao; Yangqiu Song; Lixin Fan; Jianxin Li 002 (CoRR, 2024)

Hyperparameter Optimization for SecureBoost via Constrained Multi-Objective Federated Learning. - Yan Kang 001; Ziyao Ren; Lixin Fan; Linghua Yang; Yongxin Tong; Qiang Yang 001 (CoRR, 2024)

FedEval-LLM: Federated Evaluation of Large Language Models on Downstream Tasks with Collective Wisdom. - Yuanqin He; Yan Kang 001; Lixin Fan; Qiang Yang 001 (CoRR, 2024)

A Survey on Contribution Evaluation in Vertical Federated Learning. - Yue Cui 001; Chung-ju Huang; Yuzhu Zhang; Leye Wang; Lixin Fan; Xiaofang Zhou 001; Qiang Yang 001 (CoRR, 2024)

Federated Domain-Specific Knowledge Transfer on Large Language Models Using Synthetic Data. - Haoran Li 003; Xinyuan Zhao; Dadi Guo; Hanlin Gu; Ziqian Zeng; Yuxing Han 001; Yangqiu Song; Lixin Fan; Qiang Yang 001 (CoRR, 2024)

No Free Lunch Theorem for Privacy-Preserving LLM Inference. - Xiaojin Zhang 002; Yulin Fei; Yan Kang 001; Wei Chen 088; Lixin Fan; Hai Jin 001; Qiang Yang 001 (CoRR, 2024)

FedAdOb: Privacy-Preserving Federated Deep Learning with Adaptive Obfuscation. - Hanlin Gu; Jiahuan Luo; Yan Kang 001; Yuan Yao 011; Gongxi Zhu; Bowen Li 013; Lixin Fan; Qiang Yang 001 (CoRR, 2024)

PDSS: A Privacy-Preserving Framework for Step-by-Step Distillation of Large Language Models. - Tao Fan 002; Yan Kang 001; Weijing Chen; Hanlin Gu; Yuanfeng Song; Lixin Fan; Kai Chen 005; Qiang Yang 001 (CoRR, 2024)

Model-Based Differentially Private Knowledge Transfer for Large Language Models. - Zhaomin Wu; Jizhou Guo; Junyi Hou; Bingsheng He; Lixin Fan; Qiang Yang (CoRR, 2024)

A few-shot Label Unlearning in Vertical Federated Learning. - Hanlin Gu; Hong Xi Tae; Chee Seng Chan; Lixin Fan (CoRR, 2024)

Disentangling data distribution for Federated Learning. - Xinyuan Zhao; Hanlin Gu; Lixin Fan; Qiang Yang 001; Yuxing Han 001 (CoRR, 2024)

FedCoLLM: A Parameter-Efficient Federated Co-tuning Framework for Large and Small Language Models. - Tao Fan 002; Yan Kang 001; Guoqiang Ma; Lixin Fan; Kai Chen 005; Qiang Yang 001 (CoRR, 2024)

Addressing Spatial-Temporal Data Heterogeneity in Federated Continual Learning via Tail Anchor. - Hao Yu; Xin Yang 012; Le Zhang 001; Hanlin Gu; Tianrui Li 001; Lixin Fan; Qiang Yang 001 (CoRR, 2024)

A Game-theoretic Framework for Privacy-preserving Federated Learning. - Xiaojin Zhang 002; Lixin Fan; Siwei Wang; Wenjie Li 008; Kai Chen 005; Qiang Yang 001 (ACM Trans. Intell. Syst. Technol., 2024)

A Meta-Learning Framework for Tuning Parameters of Protection Mechanisms in Trustworthy Federated Learning. - Xiaojin Zhang 002; Yan Kang 001; Lixin Fan; Kai Chen 005; Qiang Yang 001 (ACM Trans. Intell. Syst. Technol., 2024)

A Communication Theory Perspective on Prompting Engineering Methods for Large Language Models. - Yuanfeng Song; Yuanqin He; Xuefang Zhao; Hanlin Gu; Di Jiang; Haijun Yang; Lixin Fan (J. Comput. Sci. Technol., 2024)

FedCut: A Spectral Analysis Framework for Reliable Detection of Byzantine Colluders. - Hanlin Gu; Lixin Fan; Xingxing Tang; Qiang Yang 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Accelerating Vertical Federated Learning. - Dongqi Cai 001; Tao Fan 002; Yan Kang 001; Lixin Fan; Mengwei Xu; Shangguang Wang; Qiang Yang 001 (IEEE Trans. Big Data, 2024)

Optimizing Privacy, Utility, and Efficiency in a Constrained Multi-Objective Federated Learning Framework. - Yan Kang 001; Hanlin Gu; Xingxing Tang; Yuanqin He; Yuzhu Zhang; Jinnan He; Yuxing Han 001; Lixin Fan; Kai Chen 005; Qiang Yang 001 (ACM Trans. Intell. Syst. Technol., 2024)

FedMKT: Federated Mutual Knowledge Transfer for Large and Small Language Models. - Tao Fan 002; Guoqiang Ma; Yan Kang 001; Hanlin Gu; Yuanfeng Song; Lixin Fan; Kai Chen 005; Qiang Yang 001 (COLING, 2025)

Handling Spatial-Temporal Data Heterogeneity for Federated Continual Learning via Tail Anchor. - Hao Yu; Xin Yang 012; Le Zhang 001; Hanlin Gu; Tianrui Li 001; Lixin Fan; Qiang Yang 001 (CVPR, 2025)

FedMIA: An Effective Membership Inference Attack Exploiting "All for One" Principle in Federated Learning. - Gongxi Zhu; Donghao Li; Hanlin Gu; Yuan Yao 011; Lixin Fan; Yuxing Han 001 (CVPR, 2025)

Interactive Search with Reinforcement Learning. - Weicheng Wang; Victor Junqiu Wei; Min Xie; Di Jiang; Lixin Fan; Haijun Yang (ICDE, 2025)

No free lunch theorem for privacy-preserving LLM inference. - Xiaojin Zhang 002; Yahao Pang; Yan Kang 001; Wei Chen 088; Lixin Fan; Hai Jin 001; Qiang Yang 001 (Artif. Intell., 2025)

Top Ten Challenges Towards Agentic Neural Graph Databases. - Jiaxin Bai; Zihao Wang 001; Yukun Zhou; Hang Yin 008; Weizhi Fei; Qi Hu; Zheye Deng; Jiayang Cheng; Tianshi Zheng; Hong Ting Tsang; Yisen Gao; Zhongwei Xie; et al. (IEEE Data Eng. Bull., 2025)

Temporal Gradient Inversion Attacks With Robust Optimization. - Bowen Li 013; Hanlin Gu; Ruoxin Chen; Jie Li 002; Chentao Wu; Na Ruan; Xueming Si; Lixin Fan (IEEE Trans. Dependable Secur. Comput., 2025)

FedTracker: Furnishing Ownership Verification and Traceability for Federated Learning Model. - Shuo Shao 002; Wenyuan Yang; Hanlin Gu; Zhan Qin; Lixin Fan; Qiang Yang 001; Kui Ren 001 (IEEE Trans. Dependable Secur. Comput., 2025)

Learning Federated Neural Graph Databases for Answering Complex Queries from Distributed Knowledge Graphs. - Qi Hu; Weifeng Jiang; Haoran Li 003; Zihao Wang 001; Jiaxin Bai; Qianren Mao; Yangqiu Song; Lixin Fan; Jianxin Li 002 (Trans. Mach. Learn. Res., 2025)

Guest Editorial: Special Issue on Trustworthy Federated Learning. - Qiang Yang 001; Han Yu 001; Sin G. Teo; Bo Li 001; Guodong Long; Chao Jin; Lixin Fan; Yang Liu 165; Le Zhang 001 (IEEE Trans. Neural Networks Learn. Syst., 2025)

Vertical Federated Learning in Practice: The Good, the Bad, and the Ugly. - Zhaomin Wu; Zhen Qin 004; Junyi Hou; Haodong Zhao; Qinbin Li; Bingsheng He; Lixin Fan (CoRR, 2025)

PPC-GPT: Federated Task-Specific Compression of Large Language Models via Pruning and Chain-of-Thought Distillation. - Tao Fan 002; Guoqiang Ma; Yuanfeng Song; Lixin Fan; Kai Chen 005; Qiang Yang 001 (CoRR, 2025)

Ownership Verification for Federated Recommendation. - Enyue Yang; Weike Pan; Lixin Fan; Hanlin Gu; Zhitao Li 005; Qiang Yang 001; Zhong Ming 001 (ACM Trans. Inf. Syst., 2025)

Ten Challenging Problems in Federated Foundation Models. - Tao Fan 002; Hanlin Gu; Xuemei Cao 001; Chee Seng Chan; Qian Chen; Yiqiang Chen 001; Yihui Feng; Yang Gu 001; Jiaxiang Geng; Bing Luo; Shuoling Liu; WinKent Ong; et al. (IEEE Trans. Knowl. Data Eng., 2025)

Large-Small Model Collaborative Framework for Federated Continual Learning. - Hao Yu; Xin Yang; Boyang Fan; Xuemei Cao; Hanlin Gu; Lixin Fan; Qiang Yang (CoRR, 2025)

Grounding Foundation Models through Federated Transfer Learning: A General Framework. - Yan Kang 001; Tao Fan 002; Hanlin Gu; Xiaojin Zhang 002; Lixin Fan; Qiang Yang 001 (ACM Trans. Intell. Syst. Technol., 2025)

A Theoretical Analysis of Efficiency Constrained Utility-Privacy Bi-Objective Optimization in Federated Learning. - Hanlin Gu; Xinyuan Zhao; Gongxi Zhu; Yuxing Han 001; Yan Kang 001; Lixin Fan; Qiang Yang 001 (IEEE Trans. Big Data, 2025)

A Hybrid Self-Supervised Learning Framework for Vertical Federated Learning. - Yuanqin He; Yan Kang 001; Xinyuan Zhao; Jiahuan Luo; Lixin Fan; Yuxing Han 001; Qiang Yang 001 (IEEE Trans. Big Data, 2025)