WebDG - A Platform for E-Government Web Services. - Athman Bouguettaya; Brahim Medjahed; Abdelmounaam Rezgui; Mourad Ouzzani; Xumin Liu; Qi Yu 001 (ER (Workshops), 2004)

Ubiquitous Web Services for E-Government Social Services. - Athman Bouguettaya; Denis Gracanin; Qi Yu 001; Xiaoyu Zhang 006; Xumin Liu; Zaki Malik (AAAI Spring Symposium: Semantic Web Meets eGovernment, 2006)

Effcient Mining of Heterogeneous Star-Structured Data. - Manjeet Rege; Qi Yu 001 (Int. J. Softw. Informatics, 2008)

Framework for Web service query algebra and optimization. - Qi Yu 001; Athman Bouguettaya (ACM Trans. Web, 2008)

Deploying and managing Web services: issues, solutions, and directions. - Qi Yu 001; Xumin Liu; Athman Bouguettaya; Brahim Medjahed (VLDB J., 2008)

A Foundational Framework for Service Query Optimization. - Qi Yu 001 (2008)

A Relational Approach for Ef?cient Service Selection. - Qi Yu 001; Manjeet Rege (ICWS, 2009)

Clustering Analysis of Data with High Dimensionality. - Athman Bouguettaya; Qi Yu 001 (Encyclopedia of Data Warehousing and Mining, 2009)

Biclustering and Feature Selection Techniques in Bioinformatics. - Bhavik Desai; Pankaj Andhale; Manjeet Rege; Qi Yu 001 (ICDEM, 2010)

Computing Service Skylines over Sets of Services. - Qi Yu 001; Athman Bouguettaya (ICWS, 2010)

On Service Community Learning: A Co-clustering Approach. - Qi Yu 001; Manjeet Rege (ICWS, 2010)

A two-phase framework for quality-aware Web service selection. - Qi Yu 001; Manjeet Rege; Athman Bouguettaya; Brahim Medjahed; Mourad Ouzzani (Serv. Oriented Comput. Appl., 2010)

Computing Service Skyline from Uncertain QoWS. - Qi Yu 001; Athman Bouguettaya (IEEE Trans. Serv. Comput., 2010)

Guest Editorial: Special Section on Query Models and Efficient Selection of Web Services. - Qi Yu 001; Athman Bouguettaya (IEEE Trans. Serv. Comput., 2010)

Place Semantics into Context: Service Community Discovery from the WSDL Corpus. - Qi Yu 001 (ICSOC, 2011)

Efficient range query processing on uncertain data. - Andrew Knight; Qi Yu 001; Manjeet Rege (IRI, 2011)

Efficient change management in long-term composed services. - Xumin Liu; Athman Bouguettaya; Qi Yu 001; Zaki Malik (Serv. Oriented Comput. Appl., 2011)

Web Service management system for bioinformatics research: a case study. - Kai Xu 003; Qi Yu 001; Qing Liu 001; Ji Zhang 001; Athman Bouguettaya (Serv. Oriented Comput. Appl., 2011)

Service-Centric Framework for a Digital Government Application. - Athman Bouguettaya; Qi Yu 001; Xumin Liu; Zaki Malik (IEEE Trans. Serv. Comput., 2011)

Sparse Functional Representation for Large-Scale Service Clustering. - Qi Yu 001 (ICSOC, 2012)

Decision Tree Learning from Incomplete QoS to Bootstrap Service Recommendation. - Qi Yu 001 (ICWS, 2012)

Integrating User Invocation Data and Extended Semantics for Service Community Discovery. - Qi Yu 001; Jai W. Kang (Int. J. Next Gener. Comput., 2012)

Multi-attribute optimization in service selection. - Qi Yu 001; Athman Bouguettaya (World Wide Web, 2012)

Reliable Service Composition via Automatic QoS Prediction. - Hongbing Wang; Haixia Sun 001; Qi Yu 001 (IEEE SCC, 2013)

Maximizing influence of viral marketing via evolutionary user selection. - Sanket Anil Naik; Qi Yu 001 (ASONAM, 2013)

Optimal Self-Healing of Service-Oriented Systems with Incomplete Information. - Hongbing Wang; Xiaojun Wang; Qi Yu 001 (BigData Congress, 2013)

WT-LDA: User Tagging Augmented LDA for Web Service Clustering. - Liang Chen 001; Yilun Wang; Qi Yu 001; Zibin Zheng; Jian Wu 001 (ICSOC, 2013)

Online Reliability Time Series Prediction for Service-Oriented System of Systems. - Lei Wang 042; Hongbing Wang; Qi Yu 001; Haixia Sun 001; Athman Bouguettaya (ICSOC, 2013)

Trace Norm Regularized Matrix Factorization for Service Recommendation. - Qi Yu 001; Zibin Zheng; Hongbing Wang (ICWS, 2013)

Selecting skyline services for QoS-aware composition by upgrading MapReduce paradigm. - Jian Wu 001; Liang Chen 001; Qi Yu 001; Li Kuang; Yilun Wang; Zhaohui Wu 001 (Clust. Comput., 2013)

Efficient Large-Scale Service Clustering via Sparse Functional Representation and Accelerated Optimization. - Qi Yu 001 (Int. J. Cooperative Inf. Syst., 2013)

Efficient Service Skyline Computation for Composite Service Selection. - Qi Yu 001; Athman Bouguettaya (IEEE Trans. Knowl. Data Eng., 2013)

On Bootstrapping Web Service Recommendation. - Qi Yu 001 (Web Services Foundations, 2014)

Towards Automatic Annotation of Clinical Decision-Making Style. - Limor Hochberg; Cecilia Ovesdotter Alm; Esa M. Rantanen; Qi Yu 001; Caroline M. DeLong; Anne R. Haake (LAW@COLING, 2014)

Towards multimodal modeling of physicians' diagnostic confidence and self-awareness using medical narratives. - Joseph Bullard; Cecilia Ovesdotter Alm; Qi Yu 001; Pengcheng Shi; Anne R. Haake (COLING, 2014)

Infusing perceptual expertise and domain knowledge into a human-centered image retrieval system: a prototype application. - Xuan Guo; Rui Li 002; Cecilia Ovesdotter Alm; Qi Yu 001; Jeff B. Pelz; Pengcheng Shi; Anne R. Haake (ETRA, 2014)

Fusing Multimodal Human Expert Data to Uncover Hidden Semantics. - Xuan Guo; Qi Yu 001; Rui Li 002; Cecilia Ovesdotter Alm; Anne R. Haake (GazeIn@ICMI, 2014)

Integrating On-policy Reinforcement Learning with Multi-agent Techniques for Adaptive Service Composition. - Hongbing Wang; Xin Chen; Qin Wu; Qi Yu 001; Zibin Zheng; Athman Bouguettaya (ICSOC, 2014)

Adaptive and Dynamic Service Composition via Multi-agent Reinforcement Learning. - Hongbing Wang; Qin Wu; Xin Chen; Qi Yu 001; Zibin Zheng; Athman Bouguettaya (ICWS, 2014)

A Novel Online Reliability Prediction Approach for Service-Oriented Systems. - Hongbing Wang; Lei Wang 042; Qi Yu 001; Zibin Zheng (ICWS, 2014)

Design of an analytic centric MS degree in information sciences and technologies. - Jai W. Kang; Edward P. Holden; Qi Yu 001 (SIGITE, 2014)

From spoken narratives to domain knowledge: Mining linguistic data for medical image understanding. - Xuan Guo; Qi Yu 001; Cecilia Ovesdotter Alm; Cara Calvelli; Jeff B. Pelz; Pengcheng Shi; Anne R. Haake (Artif. Intell. Medicine, 2014)

Web Service Recommendation via Exploiting Location and QoS Information. - Xi Chen; Zibin Zheng; Qi Yu 001; Michael R. Lyu (IEEE Trans. Parallel Distributed Syst., 2014)

QoS-aware service selection via collaborative QoS evaluation. - Qi Yu 001 (World Wide Web, 2014)

Aggregating Functionality, Use History, and Popularity of APIs to Recommend Mashup Creation. - Aditi Jain; Xumin Liu; Qi Yu 001 (ICSOC, 2015)

Integrating Gaussian Process with Reinforcement Learning for Adaptive Service Composition. - Hongbing Wang; Qin Wu; Xin Chen; Qi Yu 001 (ICSOC, 2015)

WS-HFS: A Heterogeneous Feature Selection Framework for Web Services Mining. - Liang Chen 001; Qi Yu 001; Philip S. Yu; Jian Wu 001 (ICWS, 2015)

Extracting, Ranking, and Evaluating Quality Features of Web Services through User Review Sentiment Analysis. - Xumin Liu; Arpeet Kale; Javed Wasani; Chen Ding 004; Qi Yu 001 (ICWS, 2015)

Time-Aware API Popularity Prediction via Heterogeneous Features. - Yao Wan 001; Liang Chen 001; Jian Wu 001; Qi Yu 001 (ICWS, 2015)

Discovering Web Services to Improve Requirements Decomposition. - Hongbing Wang; Suxiang Zhou; Qi Yu 001 (ICWS, 2015)

Learning Sparse Functional Factors for Large-Scale Service Clustering. - Qi Yu 001; Hongbing Wang; Liang Chen 001 (ICWS, 2015)

Pillars of Analytics Applied in MS Degree in Information Sciences and Technologies. - Jai W. Kang; Edward P. Holden; Qi Yu 001 (SIGITE, 2015)

Efficient agglomerative hierarchical clustering. - Athman Bouguettaya; Qi Yu 001; Xumin Liu; Xiangmin Zhou; Andy Song (Expert Syst. Appl., 2015)

CloudRec: a framework for personalized service Recommendation in the Cloud. - Qi Yu 001 (Knowl. Inf. Syst., 2015)

Guest Editorial: Big Data Analytics and the Web. - Quan Z. Sheng; Athanasios V. Vasilakos; Qi Yu 001; Lina Yao 001 (IEEE Trans. Big Data, 2015)

Trust-aware media recommendation in heterogeneous social networks. - Jian Wu 001; Liang Chen 001; Qi Yu 001; Panpan Han; Zhaohui Wu 001 (World Wide Web, 2015)

Evolutionary Influence Maximization in Viral Marketing. - Sanket Anil Naik; Qi Yu 001 (Recommendation and Search in Social Networks, 2015)

Web-Based Implementation of Data Warehouse Schema Evolution. - Jai W. Kang; Fnu Basrizal; Qi Yu 001; Edward P. Holden (New Trends in Intelligent Information and Database Systems, 2015)

Integrating POMDP and SARSA( lambda λ ) for Service Composition with Incomplete Information. - Hongbing Wang; Xingzhi Zhang; Qi Yu 001 (ICSOC, 2016)

An LDA-SVM Active Learning Framework for Web Service Classification. - Xumin Liu; Shaleen Agarwal; Chen Ding 004; Qi Yu 001 (ICWS, 2016)

Automatic Hierarchical Reinforcement Learning for Efficient Large-Scale Service Composition. - Hongbing Wang; Guicheng Huang; Qi Yu 001 (ICWS, 2016)

Towards Early Dementia Detection: Fusing Linguistic and Non-Linguistic Clinical Data. - Joseph Bullard; Cecilia Ovesdotter Alm; Xumin Liu; Qi Yu 001; Rubén A. Proaño (CLPsych@HLT-NAACL, 2016)

An Expert-in-the-loop Paradigm for Learning Medical Image Grouping. - Xuan Guo; Qi Yu 001; Rui Li 002; Cecilia Ovesdotter Alm; Cara Calvelli; Pengcheng Shi; Anne R. Haake (PAKDD (1), 2016)

Incorporating Heterogeneous Information for Mashup Discovery with Consistent Regularization. - Yao Wan 001; Liang Chen 001; Qi Yu 001; Tingting Liang; Jian Wu 001 (PAKDD (1), 2016)

Security Requirements Embedded in MS Programs in Information Sciences and Technologies. - Jai W. Kang; Qi Yu 001; Edward P. Holden; Tae H. Oh (SIGITE, 2016)

Intelligent medical image grouping through interactive learning. - Xuan Guo; Qi Yu 001; Rui Li 002; Cecilia Ovesdotter Alm; Cara Calvelli; Pengcheng Shi; Anne R. Haake (Int. J. Data Sci. Anal., 2016)

Effective service composition using multi-agent reinforcement learning. - Hongbing Wang; Xiaojun Wang; Xingzhi Zhang; Qi Yu 001; Xingguo Hu (Knowl. Based Syst., 2016)

Guest Editorial: Big Data Analytics and the Web. - Michael Sheng 001; Athanasios V. Vasilakos; Qi Yu 001; Lina You (IEEE Trans. Big Data, 2016)

Large-Scale and Adaptive Service Composition Using Deep Reinforcement Learning. - Hongbing Wang; Mingzhu Gu; Qi Yu 001; Huanhuan Fei; Jiajie Li; Yong Tao (ICSOC, 2017)

Estimation of Distribution with Restricted Boltzmann Machine for Adaptive Service Composition. - Shunshun Peng; Hongbing Wang; Qi Yu 001 (ICWS, 2017)

Correlation-Aware Multi-Label Active Learning for Web Service Tag Recommendation. - Weishi Shi; Xumin Liu; Qi Yu 001 (ICWS, 2017)

Online Reliability Prediction via Long Short Term Memory for Service-Oriented Systems. - Hongbing Wang; Zhengping Yang; Qi Yu 001 (ICWS, 2017)

Modeling Physicians' Utterances to Explore Diagnostic Decision-making. - Xuan Guo; Rui Li 002; Qi Yu 001; Anne R. Haake (IJCAI, 2017)

Teaching IoT (Internet of Things) Analytics. - Jai W. Kang; Qi Yu 001; Erik Golen (SIGITE, 2017)

A service computing manifesto: the next 10 years. - Athman Bouguettaya; Munindar P. Singh; Michael N. Huhns; Quan Z. Sheng; Hai Dong; Qi Yu 001; Azadeh Ghari Neiat; Sajib Mistry; Boualem Benatallah; Brahim Medjahed; Mourad Ouzzani; Fabio Casati; et al. (Commun. ACM, 2017)

Combining quantitative constraints with qualitative preferences for effective non-functional properties-aware service composition. - Hongbing Wang; Peisheng Ma; Qi Yu 001; Danrong Yang; Jiajie Li; Huanhuan Fei (J. Parallel Distributed Comput., 2017)

Integrating Reinforcement Learning with Multi-Agent Techniques for Adaptive Service Composition. - Hongbing Wang; Xin Chen; Qin Wu; Qi Yu 001; Xingguo Hu; Zibin Zheng; Athman Bouguettaya (ACM Trans. Auton. Adapt. Syst., 2017)

Statistical Learning of Domain-Specific Quality-of-Service Features from User Reviews. - Xumin Liu; Weishi Shi; Arpeet Kale; Chen Ding 004; Qi Yu 001 (ACM Trans. Internet Techn., 2017)

Online Reliability Prediction via Motifs-Based Dynamic Bayesian Networks for Service-Oriented Systems. - Hongbing Wang; Lei Wang 042; Qi Yu 001; Zibin Zheng; Athman Bouguettaya; Michael R. Lyu (IEEE Trans. Software Eng., 2017)

An Efficient Many-Class Active Learning Framework for Knowledge-Rich Domains. - Weishi Shi; Qi Yu 001 (ICDM, 2018)

From Novice to Expert Narratives of Dermatological Disease. - Nse Obot; Laura OrMalley; Ifeoma Nwogu; Qi Yu 001; Weishi Shi; Xuan Guo (PerCom Workshops, 2018)

IT Curriculum: Coping with Technology Trends & Industry Demands. - Jai W. Kang; Qi Yu 001; Erik Golen; Edward P. Holden (SIGITE, 2018)

Log sequence clustering for workflow mining in multi-workflow systems. - Xumin Liu; Moayad Alshangiti; Chen Ding 004; Qi Yu 001 (Data Knowl. Eng., 2018)

Tag-aware dynamic music recommendation. - Ervine Zheng; Gustavo Yukio Kondo; Stephen J. Zilora; Qi Yu 001 (Expert Syst. Appl., 2018)

Incorporating both qualitative and quantitative preferences for service recommendation. - Hongbing Wang; Yong Tao; Qi Yu 001; Xin Lin; Tianjing Hong (J. Parallel Distributed Comput., 2018)

A proactive approach based on online reliability prediction for adaptation of service-oriented systems. - Hongbing Wang; Lei Wang 042; Qi Yu 001; Zibin Zheng; Zhengping Yang (J. Parallel Distributed Comput., 2018)

Online reliability time series prediction via convolutional neural network and long short term memory for service-oriented systems. - Hongbing Wang; Zhengping Yang; Qi Yu 001; Tianjing Hong; Xin Lin (Knowl. Based Syst., 2018)

Integrating modified cuckoo algorithm and creditability evaluation for QoS-aware service composition. - Hongbing Wang; Danrong Yang; Qi Yu 001; Yong Tao (Knowl. Based Syst., 2018)

Effective BigData-Space Service Selection over Trust and Heterogeneous QoS Preferences. - Hongbing Wang; Chao Yu; Lei Wang 042; Qi Yu 001 (IEEE Trans. Serv. Comput., 2018)

Why is Developing Machine Learning Applications Challenging? A Study on Stack Overflow Posts. - Moayad Alshangiti; Hitesh Sapkota; Pradeep K. Murukannaiah; Xumin Liu; Qi Yu 001 (ESEM, 2019)

Fast Direct Search in an Optimally Compressed Continuous Target Space for Efficient Multi-Label Active Learning. - Weishi Shi; Qi Yu 001 (ICML, 2019)

Improving the Decision-Making Process of Self-Adaptive Systems by Accounting for Tactic Volatility. - Jeffrey Palmerino; Qi Yu 001; Travis Desell; Daniel E. Krutz (ASE, 2019)

Integrating Bayesian and Discriminative Sparse Kernel Machines for Multi-class Active Learning. - Weishi Shi; Qi Yu 001 (NeurIPS, 2019)

Complementing Course Contents Between IT/CS: A Case Study on Database Courses. - Jai W. Kang; Qi Yu 001; Edward P. Holden; Xumin Liu (SIGITE, 2019)

GNE: a deep learning framework for gene network inference by aggregating biological information. - Kishan KC; Rui Li 002; Feng Cui; Qi Yu 001; Anne R. Haake (BMC Syst. Biol., 2019)

A parallel refined probabilistic approach for QoS-aware service composition. - Hongbing Wang; Shunshun Peng; Qi Yu 001 (Future Gener. Comput. Syst., 2019)

A motifs-based Maximum Entropy Markov Model for realtime reliability prediction in System of Systems. - Hongbing Wang; Huanhuan Fei; Qi Yu 001; Wei Zhao; Jia Yan; Tianjing Hong (J. Syst. Softw., 2019)

Adaptive and large-scale service composition based on deep reinforcement learning. - Hongbing Wang; Mingzhu Gu; Qi Yu 001; Yong Tao; Jiajie Li; Huanhuan Fei; Jia Yan; Wei Zhao; Tianjing Hong (Knowl. Based Syst., 2019)

Personalized service selection using Conditional Preference Networks. - Hongbing Wang; Yong Tao; Qi Yu 001; Tianjing Hong; Chen Xin; Qin Wu (Knowl. Based Syst., 2019)

Integrating Multi-level Tag Recommendation with External Knowledge Bases for Automatic Question Answering. - Eduardo Lima; Weishi Shi; Xumin Liu; Qi Yu 001 (ACM Trans. Internet Techn., 2019)

Learning the Evolution Regularities for BigService-Oriented Online Reliability Prediction. - Hongbing Wang; Lei Wang 042; Qi Yu 001; Zibin Zheng (IEEE Trans. Serv. Comput., 2019)

Presenting and evaluating the impact of experiential learning in computing accessibility education. - Yasmine N. El-Glaly; Weishi Shi; Samuel A. Malachowsky; Qi Yu 001; Daniel E. Krutz (ICSE (SEET), 2020)

Experiential learning in computing accessibility education. - Weishi Shi; Saad Khan 006; Yasmine N. El-Glaly; Samuel A. Malachowsky; Qi Yu 001; Daniel E. Krutz (ICSE (Companion Volume), 2020)

Object-Aware Centroid Voting for Monocular 3D Object Detection. - Wentao Bao; Qi Yu 001; Yu Kong 001 (IROS, 2020)

Uncertainty-based Traffic Accident Anticipation with Spatio-Temporal Relational Learning. - Wentao Bao; Qi Yu 001; Yu Kong 001 (ACM Multimedia, 2020)

Multifaceted Uncertainty Estimation for Label-Efficient Deep Learning. - Weishi Shi; Xujiang Zhao; Feng Chen 001; Qi Yu 001 (NeurIPS, 2020)

Dynamic Fusion of Eye Movement Data and Verbal Narrations in Knowledge-rich Domains. - Ervine Zheng; Qi Yu 001; Rui Li 002; Pengcheng Shi; Anne R. Haake (NeurIPS, 2020)

Analytics Prevalent Undergraduate IT Program. - Jai W. Kang; Qi Yu 001; Edward P. Holden; Erik Golen; Michael McQuaid (SIGITE, 2020)

Multi-Clusters Adaptive Brain Storm Optimization Algorithm for QoS-Aware Service Composition. - Shunshun Peng; Hongbing Wang; Qi Yu 001 (IEEE Access, 2020)

A Bayesian learning model for design-phase service mashup popularity prediction. - Moayad Alshangiti; Weishi Shi; Xumin Liu; Qi Yu 001 (Expert Syst. Appl., 2020)

Integrating recurrent neural networks and reinforcement learning for dynamic service composition. - Hongbing Wang; Jiajie Li; Qi Yu 001; Tianjing Hong; Jia Yan; Wei Zhao (Future Gener. Comput. Syst., 2020)

Integrating reinforcement learning and skyline computing for adaptive service composition. - Hongbing Wang; Xingguo Hu; Qi Yu 001; Mingzhu Gu; Wei Zhao; Jia Yan; Tianjing Hong (Inf. Sci., 2020)

Histopathological distinction of non-invasive and invasive bladder cancers using machine learning approaches. - Peng-Nien Yin; Kishan KC; Shishi Wei; Qi Yu 001; Rui Li 002; Anne R. Haake; Hiroshi Miyamoto; Feng Cui (BMC Medical Informatics Decis. Mak., 2020)

A Continual Learning Framework for Uncertainty-Aware Interactive Image Segmentation. - Ervine Zheng; Qi Yu 001; Rui Li 002; Pengcheng Shi; Anne R. Haake (AAAI, 2021)

Distributionally Robust Optimization for Deep Kernel Multiple Instance Learning. - Hitesh Sapkota; Yiming Ying; Feng Chen 001; Qi Yu 001 (AISTATS, 2021)

Active Learning with Maximum Margin Sparse Gaussian Processes. - Weishi Shi; Qi Yu 001 (AISTATS, 2021)

Uncertainty-Aware Multiple Instance Learning from Large-Scale Long Time Series Data. - Yuansheng Zhu; Weishi Shi; Deep Shankar Pandey; Yang Liu; Xiaofan Que; Daniel E. Krutz; Qi Yu 001 (IEEE BigData, 2021)

DRIVE: Deep Reinforced Accident Anticipation with Visual Explanation. - Wentao Bao; Qi Yu 001; Yu Kong 001 (ICCV, 2021)

Evidential Deep Learning for Open Set Action Recognition. - Wentao Bao; Qi Yu 001; Yu Kong 001 (ICCV, 2021)

MetaEDL: Meta Evidential Learning For Uncertainty-Aware Cold-Start Recommendations. - Krishna Prasad Neupane; Ervine Zheng; Qi Yu 001 (ICDM, 2021)

Deep Reinforced Attention Regression for Partial Sketch Based Image Retrieval. - Dingrong Wang; Hitesh Sapkota; Xumin Liu; Qi Yu 001 (ICDM, 2021)

R-CASS: Using Algorithm Selection for Self-Adaptive Service Oriented Systems. - Niranjana Deshpande; Naveen Sharma; Qi Yu 001; Daniel E. Krutz (ICWS, 2021)

A Gaussian Process-Bayesian Bernoulli Mixture Model for Multi-Label Active Learning. - Weishi Shi; Dayou Yu; Qi Yu 001 (NeurIPS, 2021)

A survey of immersive technologies and applications for industrial product development. - Rui Liu; Chao Peng 003; Yunbo Zhang; Hannah Husarek; Qi Yu 001 (Comput. Graph., 2021)

A Dynamic Meta-Learning Model for Time-Sensitive Cold-Start Recommendations. - Krishna Prasad Neupane; Ervine Zheng; Yu Kong 001; Qi Yu 001 (AAAI, 2022)

Dual-Level Adaptive Information Filtering for Interactive Image Segmentation. - Ervine Zheng; Qi Yu 001; Rui Li 002; Pengcheng Shi; Anne R. Haake (AISTATS, 2022)

OpenTAL: Towards Open Set Temporal Action Localization. - Wentao Bao; Qi Yu 001; Yu Kong 001 (CVPR, 2022)

Multidimensional Belief Quantification for Label-Efficient Meta-Learning. - Deep Shankar Pandey; Qi Yu 001 (CVPR, 2022)

Bayesian Nonparametric Submodular Video Partition for Robust Anomaly Detection. - Hitesh Sapkota; Qi Yu 001 (CVPR, 2022)

Towards Open Set Video Anomaly Detection. - Yuansheng Zhu; Wentao Bao; Qi Yu 001 (ECCV (34), 2022)

Online Learning Using Incomplete Execution Data for Self-Adaptive Service-Oriented Systems. - Niranjana Deshpande; Naveen Sharma; Qi Yu 001; Daniel E. Krutz (ICWS, 2022)

Spiking Graph Convolutional Networks. - Zulun Zhu; Jiaying Peng; Jintang Li; Liang Chen 001; Qi Yu 001; Siqiang Luo (IJCAI, 2022)

Balancing Bias and Variance for Active Weakly Supervised Learning. - Hitesh Sapkota; Qi Yu 001 (KDD, 2022)

Hierarchical Bayesian multi-kernel learning for integrated classification and summarization of app reviews. - Moayad Alshangiti; Weishi Shi; Eduardo Lima; Xumin Liu; Qi Yu 001 (ESEC/SIGSOFT FSE, 2022)

Singular value decomposition-based behavior-aware cloud service application programming interfaces recommendation for large-scale software cloud directory platforms. - Lei Wang 042; Yunqiu Zhang; Xubin Zheng; Qi Yu 001; Shuhan Chen; Junyao Ding (Concurr. Comput. Pract. Exp., 2022)

Scaling Up Dynamic Graph Representation Learning via Spiking Neural Networks. - Jintang Li; Zhouxin Yu; Zulun Zhu; Liang Chen 001; Qi Yu 001; Zibin Zheng; Sheng Tian; Ruofan Wu; Changhua Meng (AAAI, 2023)

Evidential Conditional Neural Processes. - Deep Shankar Pandey; Qi Yu 001 (AAAI, 2023)

STARS: Spatial-Temporal Active Re-sampling for Label-Efficient Learning from Noisy Annotations. - Dayou Yu; Weishi Shi; Qi Yu 001 (AAAI, 2023)

Sparse Maximum Margin Learning from Multimodal Human Behavioral Patterns. - Ervine Zheng; Qi Yu 001; Zhi Zheng 002 (AAAI, 2023)

Knowledge Acquisition for Human-In-The-Loop Image Captioning. - Ervine Zheng; Qi Yu 001; Rui Li 002; Pengcheng Shi; Anne R. Haake (AISTATS, 2023)

Adaptive Robust Evidential Optimization For Open Set Detection from Imbalanced Data. - Hitesh Sapkota; Qi Yu 001 (ICLR, 2023)

Learn to Accumulate Evidence from All Training Samples: Theory and Practice. - Deep Shankar Pandey; Qi Yu 001 (ICML, 2023)

Deep Temporal Sets with Evidential Reinforced Attentions for Unique Behavioral Pattern Discovery. - Dingrong Wang; Deep Shankar Pandey; Krishna Prasad Neupane; Zhiwei Yu; Ervine Zheng; Zhi Zheng 002; Qi Yu 001 (ICML, 2023)

Discover-Then-Rank Unlabeled Support Vectors in the Dual Space for Multi-Class Active Learning. - Dayou Yu; Weishi Shi; Qi Yu 001 (ICML, 2023)

Evidential Interactive Learning for Medical Image Captioning. - Ervine Zheng; Qi Yu 001 (ICML, 2023)

Distributionally Robust Ensemble of Lottery Tickets Towards Calibrated Sparse Network Training. - Hitesh Sapkota; Dingrong Wang; Zhiqiang Tao; Qi Yu 001 (NeurIPS, 2023)

Actively Testing Your Model While It Learns: Realizing Label-Efficient Learning in Practice. - Dayou Yu; Weishi Shi; Qi Yu 001 (NeurIPS, 2023)

On Model Explanations with Transferable Neural Pathways. - Xinmiao Lin; Wentao Bao; Qi Yu 001; Yu Kong 001 (CoRR, 2023)

Latent Space Energy-based Model for Fine-grained Open Set Recognition. - Wentao Bao; Qi Yu 001; Yu Kong 001 (CoRR, 2023)

Dual-Level Curriculum Meta-Learning for Noisy Few-Shot Learning Tasks. - Xiaofan Que; Qi Yu 001 (AAAI, 2024)

Optimal Transport of Diverse Unsupervised Tasks for Robust Learning from Noisy Few-Shot Data. - Xiaofan Que; Qi Yu 001 (ECCV (39), 2024)

Balancing Feature Similarity and Label Variability for Optimal Size-Aware One-shot Subset Selection. - Abhinab Acharya; Dayou Yu; Qi Yu 001; Xumin Liu (ICML, 2024)

Hierarchical Novelty Detection via Fine-Grained Evidence Allocation. - Spandan Pyakurel; Qi Yu 001 (ICML, 2024)

Meta Evidential Transformer for Few-Shot Open-Set Recognition. - Hitesh Sapkota; Krishna Prasad Neupane; Qi Yu 001 (ICML, 2024)

Reinforced Compressive Neural Architecture Search for Versatile Adversarial Robustness. - Dingrong Wang; Hitesh Sapkota; Zhiqiang Tao; Qi Yu 001 (KDD, 2024)

Evidential Stochastic Differential Equations for Time-Aware Sequential Recommendation. - Krishna Prasad Neupane; Ervine Zheng; Qi Yu 001 (NeurIPS, 2024)

Be Confident in What You Know: Bayesian Parameter Efficient Fine-Tuning of Vision Foundation Models. - Deep Shankar Pandey; Spandan Pyakurel; Qi Yu 001 (NeurIPS, 2024)

Adaptive Important Region Selection with Reinforced Hierarchical Search for Dense Object Detection. - Dingrong Wang; Hitesh Sapkota; Qi Yu 001 (NeurIPS, 2024)

Evidential Mixture Machines: Deciphering Multi-Label Correlations for Active Learning Sensitivity. - Dayou Yu; Minghao Li; Weishi Shi; Qi Yu 001 (NeurIPS, 2024)

ALL: Supporting Experiential Accessibility Education and Inclusive Software Development. - Weishi Shi; Heather Moses; Qi Yu 001; Samuel A. Malachowsky; Daniel E. Krutz (ACM Trans. Softw. Eng. Methodol., 2024)

Deep energy-pressure regression for a thermodynamically consistent EOS model. - Dayou Yu; Deep Shankar Pandey; Joshua Hinz; Deyan I. Mihaylov; Valentin V. Karasiev; S. X. Hu; Qi Yu 001 (Mach. Learn. Sci. Technol., 2024)

GLEN: Generalized Focal Loss Ensemble of Low-Rank Networks for Calibrated Visual Question Answering. - Mahsa Mozaffari; Hitesh Sapkota; Qi Yu 001 (AAAI, 2025)

Hierarchical Multi-Source Uncertainty Aggregation for Interactive Video Captioning. - Ervine Zheng; Qi Yu 001 (AAAI, 2025)

Looking into User's Long-term Interests through the Lens of Conservative Evidential Learning. - Dingrong Wang; Krishna Prasad Neupane; Ervine Zheng; Qi Yu 001 (ICLR, 2025)

Can We Ignore Labels in Out of Distribution Detection? - Hong Yang; Qi Yu 001; Travis Desell (ICLR, 2025)