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

Efficient Large-Scale Personalizable Bidding for Multiagent Auction-Based Federated Learning - Xiaoli Tang; Han Yu (IEEE Internet Things J., 2024)

MuLAN: Multi-level attention-enhanced matching network for few-shot knowledge graph completion - Qianyu Li; Bozheng Feng; Xiaoli Tang; Han Yu; Hengjie Song (Neural Networks, 2024)

IBCA: An Intelligent Platform for Social Insurance Benefit Qualification Status Assessment - Yuliang Shi; Lin Cheng; Cheng Jiang; Hui Zhang; Guifeng Li; Xiaoli Tang; Han Yu; Zhiqi Shen; Cyril Leung (Thirty-Eighth AAAI Conference on Artificial Intelligence, AAAI 2024, Thirty-Sixth Conference on Innovative Applications of Artificial Intelligence, IAAI 2024, Fourteenth Symposium on Educational Advances in Artificial Intelligence, EAAI 2014, February 20-27, 2024, Vancouver, Canada, 2024)

HiFi-Gas: Hierarchical Federated Learning Incentive Mechanism Enhanced Gas Usage Estimation - Hao Sun; Xiaoli Tang; Chengyi Yang; Zhenpeng Yu; Xiuli Wang; Qijie Ding; Zengxiang Li; Han Yu (Thirty-Eighth AAAI Conference on Artificial Intelligence, AAAI 2024, Thirty-Sixth Conference on Innovative Applications of Artificial Intelligence, IAAI 2024, Fourteenth Symposium on Educational Advances in Artificial Intelligence, EAAI 2014, February 20-27, 2024, Vancouver, Canada, 2024)

Active Noise Control Over A Large Region with Multiple Spherical Microphone Arrays In Wave Domain - Xiaoli Tang; Jihui Aimee Zhang; Thushara D. Abhayapala (IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2024, Seoul, Republic of Korea, April 14-19, 2024, 2024)

FedRMS: Privacy-Preserving Federated Knowledge Graph Embedding Through Randomization - Qianyu Li; Xiaoli Tang; Siyao Zhou; Han Yu; Hengjie Song; Lizhen Cui; Xiaoxiao Li (IEEE International Conference on Multimedia and Expo, ICME 2024, Niagara Falls, ON, Canada, July 15-19, 2024, 2024)

Agent-Oriented Joint Decision Support for Data Owners in Auction-Based Federated Learning - Xiaoli Tang; Han Yu; Xiaoxiao Li (IEEE International Conference on Multimedia and Expo, ICME 2024, Niagara Falls, ON, Canada, July 15-19, 2024, 2024)

FedCal: Achieving Local and Global Calibration in Federated Learning via Aggregated Parameterized Scaler - Hongyi Peng; Han Yu; Xiaoli Tang; Xiaoxiao Li (Forty-first International Conference on Machine Learning, ICML 2024, Vienna, Austria, July 21-27, 2024, 2024)

Dual Calibration-based Personalised Federated Learning - Xiaoli Tang; Han Yu; Run Tang; Chao Ren; Anran Li; Xiaoxiao Li (Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, IJCAI 2024, Jeju, South Korea, August 3-9, 2024, 2024)

A Bias-Free Revenue-Maximizing Bidding Strategy for Data Consumers in Auction-based Federated Learning - Xiaoli Tang; Han Yu; Zengxiang Li; Xiaoxiao Li (Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, IJCAI 2024, Jeju, South Korea, August 3-9, 2024, 2024)

Intelligent Agents for Auction-based Federated Learning: A Survey - Xiaoli Tang; Han Yu; Xiaoxiao Li; Sarit Kraus (Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, IJCAI 2024, Jeju, South Korea, August 3-9, 2024, 2024)

Stakeholder-oriented Decision Support for Auction-based Federated Learning - Xiaoli Tang (Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, IJCAI 2024, Jeju, South Korea, August 3-9, 2024, 2024)

Modeling Time Decay Effect in Temporal Knowledge Graphs via Multivariate Hawkes Process - Qianyu Li; Jiebin Chen; Xiaoli Tang; Han Yu; Hengjie Song (International Joint Conference on Neural Networks, IJCNN 2024, Yokohama, Japan, June 30 - July 5, 2024, 2024)

Multi-Session Multi-Objective Budget Optimization for Auction-based Federated Learning - Xiaoli Tang; Han Yu (International Joint Conference on Neural Networks, IJCNN 2024, Yokohama, Japan, June 30 - July 5, 2024, 2024)

Free-Rider and Conflict Aware Collaboration Formation for Cross-Silo Federated Learning - Mengmeng Chen; Xiaohu Wu; Xiaoli Tang; Tiantian He; Yew Soon Ong; Qiqi Liu; Qicheng Lao; Han Yu (Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, NeurIPS 2024, Vancouver, BC, Canada, December 10 - 15, 2024, 2024)

Intelligent Agents for Auction-based Federated Learning: A Survey - Xiaoli Tang; Han Yu; Xiaoxiao Li; Sarit Kraus (CoRR, 2024)

Advances and Open Challenges in Federated Learning with Foundation Models - Chao Ren; Han Yu; Hongyi Peng; Xiaoli Tang; Anran Li; Yulan Gao; Alysa Ziying Tan; Bo Zhao; Xiaoxiao Li; Zengxiang Li; Qiang Yang (CoRR, 2024)

Agent-oriented Joint Decision Support for Data Owners in Auction-based Federated Learning - Xiaoli Tang; Han Yu; Xiaoxiao Li (CoRR, 2024)

FedCal: Achieving Local and Global Calibration in Federated Learning via Aggregated Parameterized Scaler - Hongyi Peng; Han Yu; Xiaoli Tang; Xiaoxiao Li (CoRR, 2024)

RLCP: A Reinforcement Learning-based Copyright Protection Method for Text-to-Image Diffusion Model - Zhuan Shi; Jing Yan; Xiaoli Tang; Lingjuan Lyu; Boi Faltings (CoRR, 2024)

Benchmarking Data Heterogeneity Evaluation Approaches for Personalized Federated Learning - Zhilong Li; Xiaohu Wu; Xiaoli Tang; Tiantian He; Yew-Soon Ong; Mengmeng Chen; Qiqi Liu; Qicheng Lao; Han Yu (CoRR, 2024)

Free-Rider and Conflict Aware Collaboration Formation for Cross-Silo Federated Learning - Mengmeng Chen; Xiaohu Wu; Xiaoli Tang; Tiantian He; Yew-Soon Ong; Qiqi Liu; Qicheng Lao; Han Yu (CoRR, 2024)

Copyright-Aware Incentive Scheme for Generative Art Models Using Hierarchical Reinforcement Learning - Zhuan Shi; Yifei Song; Xiaoli Tang; Lingjuan Lyu; Boi Faltings (CoRR, 2024)

Capsule neural tensor networks with multi-aspect information for Few-shot Knowledge Graph Completion - Qianyu Li; Jiale Yao; Xiaoli Tang; Han Yu; Siyu Jiang; Haizhi Yang; Hengjie Song (Neural Networks, 2023)

Dynamically Optimizing Display Advertising Profits Under Diverse Budget Settings - Haizhi Yang; Tengyun Wang; Xiaoli Tang; Han Yu; Fei Liu; Hengjie Song (IEEE Trans. Knowl. Data Eng., 2023)

Utility-Maximizing Bidding Strategy for Data Consumers in Auction-Based Federated Learning - Xiaoli Tang; Han Yu (IEEE International Conference on Multimedia and Expo, ICME 2023, Brisbane, Australia, July 10-14, 2023, 2023)

Competitive-Cooperative Multi-Agent Reinforcement Learning for Auction-based Federated Learning - Xiaoli Tang; Han Yu (Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, IJCAI 2023, 19th-25th August 2023, Macao, SAR, China, 2023)

Utility-Maximizing Bidding Strategy for Data Consumers in Auction-based Federated Learning - Xiaoli Tang; Han Yu (CoRR, 2023)

Hierarchical Federated Learning Incentivization for Gas Usage Estimation - Has Sun; Xiaoli Tang; Chengyi Yang; Zhenpeng Yu; Xiuli Wang; Qijie Ding; Zengxiang Li; Han Yu (CoRR, 2023)

Multi-Session Budget Optimization for Forward Auction-based Federated Learning - Xiaoli Tang; Han Yu (CoRR, 2023)

Bi-objective service composition and optimal selection for cloud manufacturing with QoS and robustness criteria - Yifan Gao; Bo Yang; Shilong Wang; Zhengping Zhang; Xiaoli Tang (Appl. Soft Comput., 2022)

A feature fusion enhanced multiscale CNN with attention mechanism for spot-welding surface appearance recognition - Meng Xiao; Bo Yang; Shilong Wang; Zhengping Zhang; Xiaoli Tang; Ling Kang (Comput. Ind., 2022)

Kaplan-Meier Markov network: Learning the distribution of market price by censored data in online advertising - Tengyun Wang; Haizhi Yang; Siyu Jiang; Yueyue Shi; Qianyu Li; Xiaoli Tang; Han Yu; Hengjie Song (Knowl. Based Syst., 2022)

A Squeezed Modulation Signal Bispectrum Method for Motor Current Signals Based Gear Fault Diagnosis - Yuandong Xu; Xiaoli Tang; Xiuquan Sun; Fengshou Gu; Andrew D. Ball (IEEE Trans. Instrum. Meas., 2022)

Wave Domain Sound Field Interpolation Using Two Spherical Microphone Arrays - Xiaoli Tang; Jihui Zhang; David Lou Alon; Zamir Ben-Hur; Prasanga N. Samarasinghe; Thushara D. Abhayapala (30th European Signal Processing Conference, EUSIPCO 2022, Belgrade, Serbia, August 29 - Sept. 2, 2022, 2022)

Towards Trustworthy AI-Empowered Real-Time Bidding for Online Advertisement Auctioning - Xiaoli Tang; Han Yu (CoRR, 2022)

A deep learning approach for identifying biomedical breakthrough discoveries using context analysis - Xue Wang; Xuemei Yang; Jian Du; Xuwen Wang; Jiao Li; Xiaoli Tang (Scientometrics, 2021)

Multi-task Learning for Bias-Free Joint CTR Prediction and Market Price Modeling in Online Advertising - Haizhi Yang; Tengyun Wang; Xiaoli Tang; Qianyu Li; Yueyue Shi; Siyu Jiang; Han Yu; Hengjie Song (CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1 - 5, 2021, 2021)

Timespan-Aware Dynamic Knowledge Graph Embedding by Incorporating Temporal Evolution - Xiaoli Tang; Rui Yuan; Qianyu Li; Tengyun Wang; Haizhi Yang; Yundong Cai; Hengjie Song (IEEE Access, 2020)

Paper-patent citation linkages as early signs for predicting delayed recognized knowledge: Macro and micro evidence - Jian Du; Peixin Li; Robin Haunschild; Yinan Sun; Xiaoli Tang (J. Informetrics, 2020)

Active Noise Control Over Multiple Zones: Adaptive Algorithm in Time Domain - Xiaoli Tang; Jihui Zhang; Thushara D. Abhayapala (Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA 2020, Auckland, New Zealand, December 7-10, 2020, 2020)

Unifying Task-Oriented Knowledge Graph Learning and Recommendation - Qianyu Li; Xiaoli Tang; Tengyun Wang; Haizhi Yang; Hengjie Song (IEEE Access, 2019)

MuFA (Multi-type Fourier Analyzer): A tool for batch generation of MuMax3 input scripts and multi-type Fourier analysis from micromagnetic simulation output data - Zhiwei Ren; Lichuan Jin; Tianlong Wen; Yulong Liao; Xiaoli Tang; Huaiwu Zhang; Zhiyong Zhong (Comput. Phys. Commun., 2019)

Measuring the knowledge translation and convergence in pharmaceutical innovation by funding-science-technology-innovation linkages analysis - Jian Du; Peixin Li; Qianying Guo; Xiaoli Tang (J. Informetrics, 2019)

Patent citations to scientific papers as early signs for predicting delayed recognition of scientific discoveries: a comparative study with instant recognition - Jian Du; Peixin Li; Robin Haunschild; Yinan Sun; Xiaoli Tang (Proceedings of the 17th International Conference on Scientometrics and Informetrics, ISSI 2019, Rome, Italy, September 2-5, 2019, 2019)

AKUPM: Attention-Enhanced Knowledge-Aware User Preference Model for Recommendation - Xiaoli Tang; Tengyun Wang; Haizhi Yang; Hengjie Song (Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, KDD 2019, Anchorage, AK, USA, August 4-8, 2019, 2019)

Patent citations to scientific papers as early signs for predicting delayed recognition of scientific discoveries: a comparative study with instant recognition - Jian Du; Peixin Li; Robin Haunschild; Yinan Sun; Xiaoli Tang (CoRR, 2019)

Energy Harvesting Technologies for Achieving Self-Powered Wireless Sensor Networks in Machine Condition Monitoring: A Review - Xiaoli Tang; Xianghong Wang; Robert Cattley; Fengshou Gu; Andrew D. Ball (Sensors, 2018)

Diagnosing the Change in the Internal Clearances of Rolling Element Bearings based on Vibration Signatures - Khalid Rabeyee; Xiaoli Tang; Yuandong Xu; Dong Zhen; Fengshou Gu; Andrew D. Ball (24th International Conference on Automation and Computing, ICAC 2018, Newcastle upon Tyne, United Kingdom, September 6-7, 2018, 2018)

A Review on Energy Harvesting Supplying Wireless Sensor Nodes for Machine Condition Monitoring - Xiaoli Tang; Zainab Mones; Xianghong Wang; Fengshou Gu; Andrew D. Ball (24th International Conference on Automation and Computing, ICAC 2018, Newcastle upon Tyne, United Kingdom, September 6-7, 2018, 2018)

The identification of shaft current induced defects on rolling bearings in wind turbine generators - Long Li; Guangbin Wang; Wenhui Deng; Xiaoli Tang; Fengshou Gu; Andrew D. Ball (23rd International Conference on Automation and Computing, ICAC 2017, Huddersfield, United Kingdom, September 7-8, 2017, 2017)

Planetary gearbox fault diagnosis using an on-rotor MEMS accelerometer - Zainab Mones; Qiang Zeng; L. Hu; Xiaoli Tang; Fengshou Gu; Andrew D. Ball (23rd International Conference on Automation and Computing, ICAC 2017, Huddersfield, United Kingdom, September 7-8, 2017, 2017)

Fault detection of rolling element bearings using the frequency shift and envelope based compressive sensing - Xiaoli Tang; Yuandong Xu; Fengshou Gu; Andrew D. Ball; Guangbin Wang (23rd International Conference on Automation and Computing, ICAC 2017, Huddersfield, United Kingdom, September 7-8, 2017, 2017)

Early detection of rolling bearing faults using an auto-correlated envelope ensemble average - Yuandong Xu; Xiaoli Tang; Fengshou Gu; Andrew D. Ball; James Xi Gu (23rd International Conference on Automation and Computing, ICAC 2017, Huddersfield, United Kingdom, September 7-8, 2017, 2017)

The effects of research level and article type on the differences between citation metrics and F1000 recommendations - Jian Du; Xiaoli Tang; Yishan Wu (J. Assoc. Inf. Sci. Technol., 2016)

Improvement and Empirical Research on Journal's First - Citation - Speed-Index - Qunfang Wu; Xiaoli Tang; Jimin Wang (Proceedings of the 15th International Conference on Scientometrics and Informetrics, Istanbul, Turkey, June 29 - July 3, 2015, 2015)

The Effects of Research Level and Article Type on the Differences between Citation Metrics and F1000 Recommendations - Jian Du; Xiaoli Tang; Yishan Wu (CoRR, 2015)

Perceptions of author order versus contribution among researchers with different professional ranks and the potential of harmonic counts for encouraging ethical co-authorship practices - Jian Du; Xiaoli Tang (Scientometrics, 2013)

Gene2DGE: A Perl Package for Gene Model Renewal with Digital Gene Expression Data - Xiaoli Tang; Libin Deng; Dake Zhang; Jiari Lin; Yi Wei; Qinqin Zhou; Xiang Li; Guilin Li; Shangdong Liang (Genom. Proteom. Bioinform., 2012)

Genetic Flux Between H1 and H2 Haplotypes of the 17q21.31 Inversion in European Population - Libin Deng; Xiaoli Tang; Xiangwen Hao; Wei Chen; Jiari Lin; Yangyu Yu; Dake Zhang; Changqing Zeng (Genom. Proteom. Bioinform., 2011)

Scanning for Genomic Regions Subject to Selective Sweeps Using SNP-MaP Strategy - Libin Deng; Xiaoli Tang; Wei Chen; Jiari Lin; Zhiqing Lai; Zuoqi Liu; Dake Zhang (Genom. Proteom. Bioinform., 2010)

Tumor Targeting for Lung Cancer Radiotherapy Using Machine Learning Techniques - Tong Lin; Laura I. Cervino; Xiaoli Tang; Nuno Vasconcelos; Steve B. Jiang (Seventh International Conference on Machine Learning and Applications, ICMLA 2008, San Diego, California, USA, 11-13 December 2008, 2008)

Towards On-line Treatment Verification Using cine EPID for Hypofractionated Lung Radiotherapy - Xiaoli Tang; Tong Lin; Steve B. Jiang (Seventh International Conference on Machine Learning and Applications, ICMLA 2008, San Diego, California, USA, 11-13 December 2008, 2008)

Lossy-To-Lossless Block-Based Compression of Hyperspectral Volumetric Data - Xiaoli Tang; William A. Pearlman (Proceedings of the International Conference on Image Processing, ICIP 2006, October 8-11, Atlanta, Georgia, USA, 2006)

Three-Dimensional Wavelet-Based Compression of Hyperspectral Images - Xiaoli Tang; William A. Pearlman (Hyperspectral Data Compression, 2006)

Scalable Hyperspectral Image Coding - Xiaoli Tang; William A. Pearlman (2005 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP '05, Philadelphia, Pennsylvania, USA, March 18-23, 2005, 2005)

Progressive resolution coding of hyperspectral imagery featuring region of interest access - Xiaoli Tang; William A. Pearlman (Visual Information Processing XIV, Orlando, Florida, USA, March 28, 2005, 2005)

Lossy-to-lossless block-based compression of hyperspectral volumetric data - Xiaoli Tang; William A. Pearlman (Proceedings of the 2004 International Conference on Image Processing, ICIP 2004, Singapore, October 24-27, 2004, 2004)

Geometric-model-based segmentation of the prostate and surrounding structures for image-guided radiotherapy - Xiaoli Tang; Yongwon Jeong; Richard J. Radke; George T. Y. Chen (Visual Communications and Image Processing 2004, VCIP 2004, San Jose, California, USA, 18-22 January 2004, 2004)

Lossless compression for three-dimensional images - Xiaoli Tang; William A. Pearlman (Visual Communications and Image Processing 2004, VCIP 2004, San Jose, California, USA, 18-22 January 2004, 2004)

Comparison of 3D Set Partitioning Methods in Hyperspectral Image Compression Featuring an Improved 3D-SPIHT - Xiaoli Tang; Sungdae Cho; William A. Pearlman (2003 Data Compression Conference (DCC 2003), 25-27 March 2003, Snowbird, UT, USA, 2003)

3D set partitioning coding methods in hyperspectral image compression - Xiaoli Tang; Sungdae Cho; William A. Pearlman (Proceedings of the 2003 International Conference on Image Processing, ICIP 2003, Barcelona, Catalonia, Spain, September 14-18, 2003, 2003)