High-order iterative learning identification of projectile's aerodynamic drag coefficient curve from radar measured velocity data. - YangQuan Chen; Changyun Wen; Jian-Xin Xu 001; Mingxuan Sun (IEEE Trans. Control. Syst. Technol., 1998)

An iterative learning controller with initial state learning. - YangQuan Chen; Changyun Wen; Zhiming Gong; Mingxuan Sun (IEEE Trans. Autom. Control., 1999)

Initial shift problem and its ILC solution for nonlinear systems with higher relative degree. - Mingxuan Sun; Danwei Wang; Guangyan Xu (ACC, 2000)

Sampled-data iterative learning control for SISO nonlinear systems with arbitrary relative degree. - Mingxuan Sun; Danwei Wang; Guangyan Xu (ACC, 2000)

Robust discrete-time iterative learning control: initial shift problem. - Mingxuan Sun; Danwei Wang (CDC, 2001)

Sampled-data iterative learning control for nonlinear systems with arbitrary relative degree. - Mingxuan Sun; Danwei Wang (Autom., 2001)

Initial condition issues on iterative learning control for non-linear systems with time delay. - Mingxuan Sun; Danwei Wang (Int. J. Syst. Sci., 2001)

Anticipatory iterative learning control for nonlinear systems with arbitrary relative degree. - Mingxuan Sun; Danwei Wang (IEEE Trans. Autom. Control., 2001)

Iterative learning control with initial rectifying action. - Mingxuan Sun; Danwei Wang (Autom., 2002)

Initial shift issues on discrete-time iterative learning control with system relative degree. - Mingxuan Sun; Danwei Wang (IEEE Trans. Autom. Control., 2003)

Adaptive rejection of periodic & non-periodic disturbances for a class of nonlinearly parametrized systems. - Mingxuan Sun; Shuzhi Sam Ge (ACC, 2004)

Platoon-stable adaptive controller design. - Mingxuan Sun; Frank L. Lewis; Shuzhi Sam Ge (CDC, 2004)

Reducing the effect of initial condition offsets using selective previous cycle data. - Mingxuan Sun; Danwei Wang; Youyi Wang (ICARCV, 2004)

Geometric and Photometric Restoration of Distorted Documents. - Mingxuan Sun; Ruigang Yang; Yun Lin 011; George V. Landon; W. Brent Seales; Michael S. Brown (ICCV, 2005)

Variable-structure repetitive control: a discrete-time strategy. - Mingxuan Sun; Youyi Wang; Danwei Wang (IEEE Trans. Ind. Electron., 2005)

Robust and Accurate Visual Echo Cancelation in a Full-Duplex Projector-Camera System. - Miao Liao; Mingxuan Sun; Ruigang Yang; Zhengyou Zhang (CVPR Workshops, 2006)

3-D Graphical Hypermedia Meets Interactive E-Books: A New Paradigm for Experiential Learning. - Joan M. Mazur; Ruigang Yang; Mingxuan Sun; Rebecca Kayrouz (Edutainment, 2006)

Adaptive Repetitive Control for a Class of Nonlinearly Parametrized Systems. - Mingxuan Sun; Shuzhi Sam Ge (IEEE Trans. Autom. Control., 2006)

Adaptive repetitive learning control of robotic manipulators without the requirement for initial repositioning. - Mingxuan Sun; Shuzhi Sam Ge; Iven M. Y. Mareels (IEEE Trans. Robotics, 2006)

A Structural View of Stability in Adaptive IIR Filters. - Jiong Zhou; Gang Li; Mingxuan Sun (IEEE Trans. Signal Process., 2006)

4D view synthesis: navigating through time and space. - Mingxuan Sun; Grant Schindler; Sing Bing Kang; Frank Dellaert (SIGGRAPH Posters, 2007)

Restoring 2D Content from Distorted Documents. - Michael S. Brown; Mingxuan Sun; Ruigang Yang; Yun Lin 011; W. Brent Seales (IEEE Trans. Pattern Anal. Mach. Intell., 2007)

Space-Time Light Field Rendering. - Huamin Wang 001; Mingxuan Sun; Ruigang Yang (IEEE Trans. Vis. Comput. Graph., 2007)

On Initial Rectifying Learning for Linear Time-Invariant Systems with Rank-Defective Markov Parameters. - Mingxuan Sun (ICIC (1), 2008)

Color matching and illumination estimation for urban scenes. - Mingxuan Sun; Grant Schindler; Greg Turk; Frank Dellaert (ICCV Workshops, 2009)

A Barbalat-Like Lemma with Its Application to Learning Control. - Mingxuan Sun (IEEE Trans. Autom. Control., 2009)

Active Lighting for Video Conferencing. - Mingxuan Sun; Zicheng Liu 001; Jingyu Qiu; Zhengyou Zhang; Mike Sinclair (IEEE Trans. Circuits Syst. Video Technol., 2009)

Visualizing differences in web search algorithms using the expected weighted hoeffding distance. - Mingxuan Sun; Guy Lebanon; Kevyn Collins-Thompson (WWW, 2010)

Repetitive learning control of nonlinear systems over finite intervals. - Mingxuan Sun; Danwei Wang; Pengnian Chen (Sci. China Inf. Sci., 2010)

Varying-order iterative learning control against perturbed initial conditions. - Mingxuan Sun; Danwei Wang; Youyi Wang (J. Frankl. Inst., 2010)

Switching-function dynamics designs for uncertain variable structure systems with repetitive control. - Mingxuan Sun; Huaying Xie; Hui Wang (Int. J. Control, 2011)

Estimating Probabilities in Recommendation Systems. - Mingxuan Sun; Guy Lebanon; Paul Kidwell (AISTATS, 2011)

Adaptive iterative learning control for SISO discrete time-varying systems. - Mingxuan Sun; Xiangbin Liu; Haigang He (ICARCV, 2012)

Discrete-time repetitive control with ideal error dynamics. - Mingxuan Sun; Lingwei Wu; Lida Xu (ICARCV, 2012)

Automatic Feature Induction for Stagewise Collaborative Filtering. - Joonseok Lee; Mingxuan Sun; Seungyeon Kim 001; Guy Lebanon (NIPS, 2012)

Partial-period adaptive repetitive control by symmetry. - Mingxuan Sun (Autom., 2012)

A Comparative Study of Collaborative Filtering Algorithms - Joonseok Lee; Mingxuan Sun; Guy Lebanon (CoRR, 2012)

PREA: personalized recommendation algorithms toolkit. - Joonseok Lee; Mingxuan Sun; Guy Lebanon (J. Mach. Learn. Res., 2012)

Adaptive Asymptotic Rejection of Unmatched General Periodic Disturbances in Output-Feedback Nonlinear Systems. - Pengnian Chen; Mingxuan Sun; Qiuzhen Yan; Xueyi Fang (IEEE Trans. Autom. Control., 2012)

Visualizing and modeling partial incomplete ranking data. - Mingxuan Sun (2012)

On Incremental Adaptive Strategies. - Mingxuan Sun (ICIC (2), 2013)

Learning multiple-question decision trees for cold-start recommendation. - Mingxuan Sun; Fuxin Li; Joonseok Lee; Ke Zhou 002; Guy Lebanon; Hongyuan Zha (WSDM, 2013)

A hazard based approach to user return time prediction. - Komal Kapoor; Mingxuan Sun; Jaideep Srivastava; Tao Ye (KDD, 2014)

Personalization of Learning Paths in Online Communities of Creators. - Mingxuan Sun; Seungwon Yang (EDM, 2016)

Secure Transmission in Heterogeneous Networks: A Two-Level Stackelberg Game Approach. - Nanmiao Wu; Xiangwei Zhou; Mingxuan Sun (GLOBECOM, 2017)

Constrained VCG Auction for Spatial Spectrum Reuse with Flexible Channel Evaluations. - Feixiang Zhang; Xiangwei Zhou; Mingxuan Sun (GLOBECOM, 2017)

Neural Network Based Finite-Time Adaptive Backstepping Control of Flexible Joint Manipulators. - Qiang Chen 006; Huihui Shi; Mingxuan Sun (ICONIP (6), 2017)

Dilated Deep Residual Network for Image Denoising. - Tianyang Wang; Mingxuan Sun; Kaoning Hu (ICTAI, 2017)

Inferring Private Demographics of New Users in Recommender Systems. - Mingxuan Sun; Changbin Li; Hongyuan Zha (MSWiM, 2017)

Tracking You through DNS Traffic: Linking User Sessions by Clustering with Dirichlet Mixture Model. - Mingxuan Sun; Guangyue Xu; Junjie Zhang 004; Dae Wook Kim (MSWiM, 2017)

Dilated Residual Network for Image Denoising. - Tianyang Wang; Mingxuan Sun; Kaoning Hu (CoRR, 2017)

Machine Learning and Cognitive Technology for Intelligent Wireless Networks. - Xiangwei Zhou; Mingxuan Sun; Geoffrey Ye Li; Biing-Hwang Juang (CoRR, 2017)

Incentive Mechanisms and Influence of Negotiation Power in Multi-Relay Cooperative Wireless Networks. - Nanmiao Wu; Xiangwei Zhou; Mingxuan Sun (GLOBECOM, 2018)

Multi-Channel Jamming Attacks against Cooperative Defense: A Two-Level Stackelberg Game Approach. - Nanmiao Wu; Xiangwei Zhou; Mingxuan Sun (ICC, 2018)

Local Low-Rank Hawkes Processes for Temporal User-Item Interactions. - Jin Shang 001; Mingxuan Sun (ICDM, 2018)

Demographic Inference Via Knowledge Transfer in Cross-Domain Recommender Systems. - Jin Shang 001; Mingxuan Sun; Kevyn Collins-Thompson (ICDM, 2018)

Low-Complexity Mode Selection and Resource Allocation for Energy-Efficient D2D Communications. - Shengjie Guo; Xiangwei Zhou; Sa Xiao; Mingxuan Sun (VTC Fall, 2018)

Adaptive Backstepping Control Design for Uncertain Rigid Spacecraft With Both Input and Output Constraints. - Zhongtian Chen; Qiang Chen 006; Xiongxiong He; Mingxuan Sun (IEEE Access, 2018)

A Multi-Modality Deep Network for Cold-Start Recommendation. - Mingxuan Sun; Fei Li; Jian Zhang 004 (Big Data Cogn. Comput., 2018)

Adaptive Finite-Time Command Filtered Fault-Tolerant Control for Uncertain Spacecraft with Prescribed Performance. - Zhongtian Chen; Qiang Chen 006; Xiongxiong He; Mingxuan Sun (Complex., 2018)

Sylvester时变矩阵方程求解的终态神经网络算法 (Terminal Neural Network Algorithm for Solution of Time-varying Sylvester Matrix Equations). - Ying Kong; Mingxuan Sun (计算机科学, 2018)

基于终态神经网络的冗余机械臂重复运动规划 (Repeatable Motion Planning of Redundant Manipulators Based on Terminal Neural Networks). - Ying Kong; Mingxuan Sun (计算机科学, 2018)

Adaptive Nonsingular Fixed-Time Attitude Stabilization of Uncertain Spacecraft. - Qiang Chen 006; Shuzong Xie; Mingxuan Sun; Xiongxiong He (IEEE Trans. Aerosp. Electron. Syst., 2018)

Secure Transmission With Guaranteed User Satisfaction in Heterogeneous Networks: A Two-Level Stackelberg Game Approach. - Nanmiao Wu; Xiangwei Zhou; Mingxuan Sun (IEEE Trans. Commun., 2018)

Digital Control Strategies With Attractiveness and Invariance Specifications. - Mingxuan Sun; Lingwei Wu; Yi Hu; Wenwei Zhou (IEEE Trans. Control. Syst. Technol., 2018)

A Deep Multi-Modal CNN for Multi-Instance Multi-Label Image Classification. - Lingyun Song; Jun Liu 002; Buyue Qian; Mingxuan Sun; Kuan Yang; Meng Sun; Samar Abbas (IEEE Trans. Image Process., 2018)

Neural AILC for Error Tracking Against Arbitrary Initial Shifts. - Mingxuan Sun; Tao Wu; Lejian Chen; Guofeng Zhang 014 (IEEE Trans. Neural Networks Learn. Syst., 2018)

Geometric Hawkes Processes with Graph Convolutional Recurrent Neural Networks. - Jin Shang 001; Mingxuan Sun (AAAI, 2019)

Multi-Level Channel Valuations and Coalitional Subgames in Spatial Spectrum Reuse. - Feixiang Zhang; Xiangwei Zhou; Mingxuan Sun (CCNC, 2019)

A Model-Agnostic Approach for Explaining the Predictions on Clustered Data. - Zihan Zhou 003; Mingxuan Sun; Jianhua Chen 003 (ICDM, 2019)

Neural-Attention Multi-Instance Learning for Predicting User Demographics from Highly Noisy Tweets. - Qing Chen; Mingxuan Sun; Jian Zhang 004 (MLDM (1), 2019)

HookTracer: A System for Automated and Accessible API Hooks Analysis. - Andrew Case; Mohammad M. Jalalzai; Md Firoz-Ul-Amin; Ryan D. Maggio; Aisha I. Ali-Gombe; Mingxuan Sun; Golden G. Richard III (Digit. Investig., 2019)

Fairness-Aware Energy-Efficient Resource Allocation in D2D Communication Networks. - Shengjie Guo; Xiangwei Zhou; Sa Xiao; Mingxuan Sun (IEEE Syst. J., 2019)

On-Demand Receiver-Centric Channel Allocation via Constrained VCG Auction for Spatial Spectrum Reuse. - Feixiang Zhang; Xiangwei Zhou; Mingxuan Sun (IEEE Syst. J., 2019)

Constrained VCG Auction With Multi-Level Channel Valuations for Spatial Spectrum Reuse in Non-Symmetric Networks. - Feixiang Zhang; Xiangwei Zhou; Mingxuan Sun (IEEE Trans. Commun., 2019)

Incentive Mechanisms and Impacts of Negotiation Power and Information Availability in Multi-Relay Cooperative Wireless Networks. - Nanmiao Wu; Xiangwei Zhou; Mingxuan Sun (IEEE Trans. Wirel. Commun., 2019)

A Game-Theoretic Approach to Achieving Bilateral Privacy-Utility Tradeoff in Spectrum Sharing. - Mengmeng Liu; Xiangwei Zhou; Mingxuan Sun (GLOBECOM, 2020)

Human Action Image Generation with Differential Privacy. - Mingxuan Sun; Qing Wang; Zicheng Liu 001 (ICME, 2020)

List-wise Fairness Criterion for Point Processes. - Jin Shang 001; Mingxuan Sun; Nina Siu-Ngan Lam (KDD, 2020)

Hooktracer: Automatic Detection and Analysis of Keystroke Loggers Using Memory Forensics. - Andrew Case; Ryan D. Maggio; Md Firoz-Ul-Amin; Mohammad M. Jalalzai; Aisha I. Ali-Gombe; Mingxuan Sun; Golden G. Richard III (Comput. Secur., 2020)

Time-Varying and Nonlinearly Scaled Consensus of Multiagent Systems: A Generic Attracting Law Approach. - Mingxuan Sun; Xing Li (CoRR, 2020)

有限值终态递归神经网络计算 (Time-variant Neurocomputing with Finite-value Terminal Recurrent Neural Networks). - Mingxuan Sun; Dingen Weng; Yu Zhang 146 (计算机科学, 2020)

Local low-rank Hawkes processes for modeling temporal user-item interactions. - Jin Shang 001; Mingxuan Sun (Knowl. Inf. Syst., 2020)

Echo State Network-Based Backstepping Adaptive Iterative Learning Control for Strict-Feedback Systems: An Error-Tracking Approach. - Qiang Chen 006; Huihui Shi; Mingxuan Sun (IEEE Trans. Cybern., 2020)

Two-Phase Attractors for Finite-Duration Consensus of Multiagent Systems. - Mingxuan Sun (IEEE Trans. Syst. Man Cybern. Syst., 2020)

Multivariate Hawkes Processes for Incomplete Biased Data. - Zihan Zhou 003; Mingxuan Sun (IEEE BigData, 2021)

Adaptive Iterative Learning Control for Tracking Trajectories With Non-Equal Trail Lengths and Initial Errors. - Mingxuan Sun; Yizhao Zhan; Shengxiang Zou; Xiongxiong He (IEEE Access, 2021)

Dead-beat terminal sliding-mode control: A guaranteed attractiveness approach. - Mingxuan Sun; Wei Li; Lingwei Wu (Autom., 2021)

Weakly Supervised Group Mask Network for Object Detection. - Lingyun Song; Jun Liu 002; Mingxuan Sun; Xuequn Shang 001 (Int. J. Comput. Vis., 2021)

Adaptive Repetitive Learning Control of PMSM Servo Systems with Bounded Nonparametric Uncertainties: Theory and Experiments. - Qiang Chen 006; Xinqi Yu; Mingxuan Sun; Chun Wu; Zijun Fu (IEEE Trans. Ind. Electron., 2021)

Repetitive Learning Control for Control-Affine Systems With Time Delays. - He Li; Mingxuan Sun (IEEE Trans. Syst. Man Cybern. Syst., 2021)

On Finite-Duration Convergent Attracting Laws. - Mingxuan Sun; He Li; Wei Li (IEEE Trans. Syst. Man Cybern. Syst., 2021)

Bilateral Privacy-Utility Tradeoff in Spectrum Sharing Systems: A Game-Theoretic Approach. - Mengmeng Liu; Xiangwei Zhou; Mingxuan Sun (IEEE Trans. Wirel. Commun., 2021)

Clustering-Based Cross-Sectional Regime Identification for Financial Market Forecasting. - Rongbo Chen; Mingxuan Sun; Kunpeng Xu 002; Jean-Marc Patenaude; Shengrui Wang (DEXA (2), 2022)

Incremental Adaptive Control of a Class of Nonlinear Nonaffine Systems. - Yizhao Zhan; Shengxiang Zou; Xiongxiong He; Mingxuan Sun (Complex., 2022)

A Machine Learning Approach for Detecting Rescue Requests from Social Media. - Zheye Wang; Nina Siu-Ngan Lam; Mingxuan Sun; Xiao Huang 003; Jin Shang 001; Lei Zou 002; Yue Wu; Volodymyr V. Mihunov (ISPRS Int. J. Geo Inf., 2022)

Steady-State Error Band Improvement Using Dead-Beat Terminal Sliding Mode Control. - Lingwei Wu; Bicheng Lei; Mingxuan Sun (IEEE Trans. Circuits Syst. II Express Briefs, 2022)

On a Finitely Activated Terminal RNN Approach to Time-Variant Problem Solving. - Mingxuan Sun; Yu Zhang 146; Yuxin Wu; Xiongxiong He (IEEE Trans. Neural Networks Learn. Syst., 2022)

Unsupervised Learning via Graph Convolutional Network for Stock Trend Prediction. - Mingxuan Sun; Rongbo Chen; Jianfei Zhang 002; Shengrui Wang (AINA (1), 2023)

Sparse Transformer Hawkes Process for Long Event Sequences. - Zhuoqun Li 001; Mingxuan Sun (ECML/PKDD (5), 2023)

Debiased Imitation Learning for Modulated Temporal Point Processes. - Zhuoqun Li 001; Zihan Zhou 003; Mingxuan Sun; Hongteng Xu (SDM, 2023)

Fractional Barrier Lyapunov Functions with Application to Learning Control. - Mingxuan Sun (CoRR, 2023)

Semi-global fixed/predefined-time RNN models with comprehensive comparisons for time-variant neural computing. - Mingxuan Sun; Xing Li; Guomin Zhong (Neural Comput. Appl., 2023)

Answering knowledge-based visual questions via the exploration of Question Purpose. - Lingyun Song; Jianao Li; Jun Liu 002; Yang Yang; Xuequn Shang 001; Mingxuan Sun (Pattern Recognit., 2023)

Attribute-Guided Multiple Instance Hashing Network for Cross-Modal Zero-Shot Hashing. - Lingyun Song; Xuequn Shang 001; Chen Yang; Mingxuan Sun (IEEE Trans. Multim., 2023)

Attractiveness and Invariance Assessments of Dead-Beat Sliding-Mode Control With Power Rule. - Wei Li; Mingxuan Sun; Xiongxiong He (IEEE Trans. Circuits Syst. II Express Briefs, 2023)

Integral Lyapunov Function-Based Adaptive Learning Control for Nonstrict-Feedback Nonlinear Systems. - Shengxiang Zou; Mingxuan Sun; Xiongxiong He (IEEE Trans. Syst. Man Cybern. Syst., 2023)

Adaptive Learning Control Algorithms for Infinite-Duration Tracking. - Mingxuan Sun; Shengxiang Zou (IEEE Trans. Neural Networks Learn. Syst., 2023)

Cost-Effective Federated Learning: A Unified Approach to Device and Training Scheduling. - Xiaobing Chen; Xiangwei Zhou; Hongchao Zhang; Mingxuan Sun; Taibiao Zhao (ICC, 2024)

Constructive RNNs: An Error-Recurrence Perspective on Time-Variant Zero Finding Problem Solving Under Uncertainty. - Mingxuan Sun; Xing Li; Han Wang (CoRR, 2024)

A guaranteed fixed-step convergence approach to discrete sliding mode control of linear disturbed systems. - Zhengyang Zhu; Mingxuan Sun; Xiongxiong He (Inf. Sci., 2024)

A Multi-Group Multi-Stream attribute Attention network for fine-grained zero-shot learning. - Lingyun Song; Xuequn Shang 001; Ruizhi Zhou; Jun Liu 002; Jie Ma 001; Zhanhuai Li; Mingxuan Sun (Neural Networks, 2024)

FMSA-SC: A Fine-Grained Multimodal Sentiment Analysis Dataset Based on Stock Comment Videos. - Lingyun Song; Siyu Chen; Ziyang Meng 002; Mingxuan Sun; Xuequn Shang 001 (IEEE Trans. Multim., 2024)

Fixed-time convergent RNNs with logarithmic settling time for time-variant quadratic programming solving with application to repetitive motion planning. - Xing Li; Liming Wang; Guomin Zhong; Mingxuan Sun (Neural Comput. Appl., 2024)

Performance enhancing ZNN models for time-variant equality-constraint convex optimization solving: A transition-state based attracting system approach. - Mingxuan Sun; Xing Li; Guomin Zhong (Expert Syst. Appl., 2024)

Fuzzy Adaptive Learning Bipartite Consensus for Strict-Feedback Structurally Unbalanced Multiagent Systems With State Constraints. - Shengxiang Zou; Mingxuan Sun; Xiongxiong He (IEEE Trans. Fuzzy Syst., 2024)

Client Selection for Wireless Federated Learning With Data and Latency Heterogeneity. - Xiaobing Chen; Xiangwei Zhou; Hongchao Zhang; Mingxuan Sun; H. Vincent Poor (IEEE Internet Things J., 2024)

DualGFL: Federated Learning with a Dual-Level Coalition-Auction Game. - Xiaobing Chen; Xiangwei Zhou; Songyang Zhang; Mingxuan Sun (AAAI, 2025)

Data-driven deadbeat sliding mode control using input/output differences. - Mingxuan Sun; Zhengyang Zhu; Xiongxiong He (J. Frankl. Inst., 2025)

An Initial-Rectifying-Constraint Optimization Scheme for Repetitive Motion Planning by Using Prescribed-Time Zeroing Neural Networks. - Guomin Zhong; Liming Wang; Mingxuan Sun (IEEE Trans Autom. Sci. Eng., 2025)

Deadzone-Modified Robust Adaptive Learning Bipartite Consensus for Heterogeneous Nonlinear Multiagent Systems. - Shengxiang Zou; Mingxuan Sun; Guomin Zhong; Xiongxiong He (IEEE Trans Autom. Sci. Eng., 2025)

Time-variant quadratic programming solving by using finitely-activated RNN models with exact settling time. - Mingxuan Sun; Yu Zhang; Liming Wang; Yuxin Wu; Guomin Zhong (Neural Comput. Appl., 2025)

Enhancing Time Series Forecasting via Multi-Level Text Alignment with LLMs. - Taibiao Zhao; Xiaobing Chen; Mingxuan Sun (CoRR, 2025)

Adaptive Neural Control with Desired Approximation: An Integral Lyapunov Function Approach. - Mingxuan Sun; Shengxiang Zou (CoRR, 2025)

VisAlgae 2023: A Dataset and Challenge for Algae Detection in Microscopy Images. - Mingxuan Sun; Juntao Jiang; Zhiqiang Yang; Shenao Kong; Jiamin Qi; Jianru Shang; Shuangling Luo; Wanfa Sun; Tianyi Wang; Yanqi Wang; Qixuan Wang; Tingjian Dai; et al. (CoRR, 2025)

Joint Device and Training Scheduling for Wireless Federated Learning. - Xiaobing Chen; Xiangwei Zhou; Hongchao Zhang; Mingxuan Sun; Taibiao Zhao (IEEE Internet Things J., 2025)

Efficient Training of Large-Scale AI Models Through Federated Mixture-of-Experts: A System-Level Approach. - Xiaobing Chen; Boyang Zhang; Xiangwei Zhou; Mingxuan Sun; Shuai Zhang; Songyang Zhang; Geoffrey Ye Li (CoRR, 2025)

Pruning and Malicious Injection: A Retraining-Free Backdoor Attack on Transformer Models. - Taibiao Zhao; Mingxuan Sun; Hao Wang; Xiaobing Chen; Xiangwei Zhou (CoRR, 2025)