The Application of Kane Equation in the Impact Prediction of Human Motion. - Mu Qiao; Chunxin Yang; Xiugan Yuan (HCI (12), 2007)

Moiré artifact prediction in a variable data printing environment. - Mu Qiao; Jan P. Allebach (ICASSP, 2008)

BlueSky Cloud Framework: An E-Learning Framework Embracing Cloud Computing. - Bo Dong 001; Qinghua Zheng; Mu Qiao; Jian Shu; Jie Yang (CloudCom, 2009)

An E-learning Ecosystem Based on Cloud Computing Infrastructure. - Bo Dong 001; Qinghua Zheng; Jie Yang; Haifei Li 001; Mu Qiao (ICALT, 2009)

Jampots: A Mashup System towards an E-learning Ecosystem. - Bo Dong 001; Qinghua Zheng; Lingzhi Xu; Haifei Li 001; Jie Yang; Mu Qiao (NCM, 2009)

Interactive Games to Improve Quality of Life for the Elderly: Towards Integration into a WSN Monitoring System. - Elaine Lawrence; Christian Sax; Karla Felix Navarro; Mu Qiao (eTELEMED, 2010)

Two-way Gaussian mixture models for high dimensional classification. - Mu Qiao; Jia Li 001 (Stat. Anal. Data Min., 2010)

Towards Efficient Business Process Clustering and Retrieval: Combining Language Modeling and Structure Matching. - Mu Qiao; Rama Akkiraju; Aubrey J. Rembert (BPM, 2011)

Subsampled optimal noise management method for a robust separation based calibration of color printing systems. - Mu Qiao; Michael Sanchez; Yongda Chen; Isaac Case; Gou-Yau Lin (Color Imaging: Displaying, Processing, Hardcopy, and Applications, 2011)

A Work-Centered Visual Analytics Model to Support Engineering Design with Interactive Visualization and Data-Mining. - Xin Yan; Mu Qiao; Jia Li 001; Timothy W. Simpson; Gary Stump; Xiaolong (Luke) Zhang (HICSS, 2012)

OSCAR: On-Site Composition and Aesthetics Feedback Through Exemplars for Photographers. - Lei Yao; Poonam Suryanarayan; Mu Qiao; James Z. Wang 001; Jia Li 001 (Int. J. Comput. Vis., 2012)

A Case Based Approach to Serve Information Needs in Knowledge Intensive Processes. - Debdoot Mukherjee; Jeanette Blomberg; Rama Akkiraju; Dinesh Raghu; Monika Gupta 002; Sugata Ghosal; Mu Qiao; Taiga Nakamura (ICSOC, 2013)

A Machine Learning Approach to Combining Individual Strength and Team Features for Team Recommendation. - Haibin Liu; Mu Qiao; Daniel B. Greenia; Rama Akkiraju; Stephen Dill; Taiga Nakamura; Yang Song; Hamid R. Motahari Nezhad (ICMLA, 2014)

A Win Prediction Model for IT Outsourcing Bids. - Daniel B. Greenia; Mu Qiao; Rama Akkiraju (SRII Global Conference, 2014)

Service-oriented workflow to efficiently and automatically fulfill products in a highly individualized web and mobile environment. - Mu Qiao (IMAWM, 2015)

Proposed color workflow solution from mobile and website to printing. - Mu Qiao; Terry Wyse (IMAWM, 2015)

Gaussian Mixture Models with Component Means Constrained in Pre-selected Subspaces. - Mu Qiao; Jia Li 001 (CoRR, 2015)

H2O: A hybrid and hierarchical outlier detection method for large scale data protection. - Quan Zhang 001; Mu Qiao; Ramani R. Routray; Weisong Shi (IEEE BigData, 2016)

RFPCog: Linguistic-Based Identification and Mapping of Service Requirements in Request for Proposals (RFPs) to IT Service Solutions. - Hamid R. Motahari Nezhad; Juan M. Cappi; Taiga Nakamura; Mu Qiao (HICSS, 2016)

Predicting Perceived Brand Personality with Social Media. - Anbang Xu; Haibin Liu; Liang Gou; Rama Akkiraju; Jalal Mahmud; Vibha Sinha; Yuheng Hu; Mu Qiao (ICWSM, 2016)

MAC protocol selection based on machine learning in cognitive radio networks. - Mu Qiao; Haitao Zhao 001; Shan Wang 005; Jibo Wei (WPMC, 2016)

Distance-based mixture modeling for classification via hypothetical local mapping. - Mu Qiao; Jia Li 001 (Stat. Anal. Data Min., 2016)

Context-Aware Data Loss Prevention for Cloud Storage Services. - Yuya Jeremy Ong; Mu Qiao; Ramani Routray; Roger Raphael (CLOUD, 2017)

How do the compliant legs affect walking stability. - Jianwen Luo 002; Yili Fu; Shuguo Wang; Mu Qiao (ROBIO, 2017)

Optimal Channel Selection Based on Online Decision and Offline Learning in Multichannel Wireless Sensor Networks. - Mu Qiao; Haitao Zhao 001; Shengchun Huang; Li Zhou 002; Shan Wang 005 (Wirel. Commun. Mob. Comput., 2017)

StackInsights: Cognitive Learning for Hybrid Cloud Readiness. - Mu Qiao; Luis Angel D. Bathen; Simon-Pierre Génot; Sunhwan Lee; Ramani Routray (IEEE CLOUD, 2018)

Large Scale Predictive Analytics for Hard Disk Remaining Useful Life Estimation. - Preethi Anantharaman; Mu Qiao; Divyesh Jadav (BigData Congress, 2018)

SafeShareRide: Edge-Based Attack Detection in Ridesharing Services. - Liangkai Liu; Xingzhou Zhang; Mu Qiao; Weisong Shi (SEC, 2018)

Topology-Transparent Scheduling Based on Reinforcement Learning in Self-Organized Wireless Networks. - Mu Qiao; Haitao Zhao 001; Li Zhou 002; Chunsheng Zhu; Shengchun Huang (IEEE Access, 2018)

An Intelligent MAC Protocol Selection Method based on Machine Learning in Wireless Sensor Networks. - Mu Qiao; Haitao Zhao 001; Shengchun Huang; Li Zhou 002; Shan Wang 005 (KSII Trans. Internet Inf. Syst., 2018)

Diagnosis of Neural Network via Backward Deduction. - Peifeng Yin; Lei Huang 018; Sunhwan Lee; Mu Qiao; Shubhi Asthana; Taiga Nakamura (IEEE BigData, 2019)

Collaborative cloud-edge computation for personalized driving behavior modeling. - Xingzhou Zhang; Mu Qiao; Liangkai Liu; Yunfei Xu; Weisong Shi (SEC, 2019)

Along-Scan Bias of Fengyun-3c Microwave Radiation Imager. - Xinxin Xie; Mu Qiao; Jiakai He; Hongxin Xu (IGARSS, 2019)

Temporal Tensor Transformation Network for Multivariate Time Series Prediction. - Yuya Jeremy Ong; Mu Qiao; Divyesh Jadav (IEEE BigData, 2020)

Factorized linear discriminant analysis for phenotype-guided representation learning of neuronal gene expression data. - Mu Qiao; Markus Meister (CoRR, 2020)

Sequence Similarity Analysis between SARS-CoV-2 and Other Viruses Based on Variant Logic Framework and Topological Entropy. - Mu Qiao; Jingwen Peng; Zhenhui Wang; Yang Zhou; Jeffrey Zheng (ICISCAE (ACM), 2021)

Dual-view Snapshot Compressive Imaging via Optical Flow Aided Recurrent Neural Network. - Ruiying Lu; Bo Chen 001; Guanliang Liu; Ziheng Cheng; Mu Qiao; Xin Yuan 002 (Int. J. Comput. Vis., 2021)

Snapshot Coherence Tomographic Imaging. - Mu Qiao; Yangyang Sun; Jiawei Ma; Ziyi Meng; Xuan Liu; Xin Yuan 002 (IEEE Trans. Computational Imaging, 2021)

Optimization Design of Electric Power Marketing System Based on Data Mining Technology. - Bin Ding; Yuan Li; Mu Qiao; Xuewen Sun; Pengfei Wang (BDSIC, 2022)

Graph Representation Learning based Vulnerable Target Identification in Ransomware Attacks. - Wenqi Wei 001; Mu Qiao; Eric Butler; Divyesh Jadav (IEEE Big Data, 2022)

Towards a New Science of Disinformation. - Claudio S. Pinhanez; German H. Flores; Marisa A. Vasconcelos; Mu Qiao; Nick Linck; Rogério de Paula; Yuya Jeremy Ong (CoRR, 2022)

GNN-Ensemble: Towards Random Decision Graph Neural Networks. - Wenqi Wei 001; Mu Qiao; Divyesh Jadav (IEEE Big Data, 2023)

BioMedGPT: Open Multimodal Generative Pre-trained Transformer for BioMedicine. - Yizhen Luo; Jiahuan Zhang; Siqi Fan 002; Kai Yang; Yushuai Wu; Mu Qiao; Zaiqing Nie (CoRR, 2023)

Factorized discriminant analysis for genetic signatures of neuronal phenotypes. - Mu Qiao (Frontiers Neuroinformatics, 2023)

Multilayer Perceptron Network Optimization for Chaotic Time Series Modeling. - Mu Qiao; Yanchun Liang 001; Adriano Tavares; Xiaohu Shi (Entropy, 2023)

Empowering Self-Learning of LLMs: Inner Knowledge Explicitation as a Catalyst. - Shijue Huang; Wanjun Zhong; Deng Cai 002; Fanqi Wan; Chengyi Wang; Mingxuan Wang; Mu Qiao; Ruifeng Xu 001 (AAAI, 2025)

A Depth Gradient Residual Stress Measurement Method Based on Energy Attenuation of LCR Waves. - Yufeng Wang; Zhengcai Zhao; Mu Qiao; Wenfeng Ding; Honghua Su (IEEE Trans. Instrum. Meas., 2025)

Reach Measurement, Optimization and Frequency Capping In Targeted Online Advertising Under k-Anonymity. - Yuan Gao; Mu Qiao (CoRR, 2025)

OCSU: Optical Chemical Structure Understanding for Molecule-centric Scientific Discovery. - Siqi Fan 002; Yuguang Xie; Bowen Cai 010; Ailin Xie; Gaochao Liu; Mu Qiao; Jie Xing; Zaiqing Nie (CoRR, 2025)

DAPO: An Open-Source LLM Reinforcement Learning System at Scale. - Qiying Yu; Zheng Zhang 001; Ruofei Zhu; Yufeng Yuan; Xiaochen Zuo; Yu Yue; Tiantian Fan; Gaohong Liu; Lingjun Liu; Xin Liu 039; Haibin Lin; Zhiqi Lin; et al. (CoRR, 2025)

Unsupervised Evolutionary Cell Type Matching via Entropy-Minimized Optimal Transport. - Mu Qiao (CoRR, 2025)

Understanding Transformers through the Lens of Pavlovian Conditioning. - Mu Qiao (CoRR, 2025)