Qi Yu - RankMe

193 papers A* 45A 36B 3Misc 8Journal 75Unranked 17

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Beyond the Class Subspace: Teacher-Guided Training for Reliable Out-of-Distribution Detection in Single-Domain Models. CoRR Hong Yang, Devroop Kar, Qi Yu, Travis Desell, Alexander Ororbia
2025	J	`jnl`	Can We Ignore Labels In Out of Distribution Detection? CoRR Hong Yang, Qi Yu, Travis J. Desell
2025	A*	`conf`	Can We Ignore Labels in Out of Distribution Detection? ICLR Hong Yang, Qi Yu, Travis Desell
2025	A*	`conf`	GLEN: Generalized Focal Loss Ensemble of Low-Rank Networks for Calibrated Visual Question Answering. AAAI Mahsa Mozaffari, Hitesh Sapkota, Qi Yu
2025	A*	`conf`	Hierarchical Multi-Source Uncertainty Aggregation for Interactive Video Captioning. AAAI Ervine Zheng, Qi Yu
2025	A*	`conf`	Learning State-Based Node Representations from a Class Hierarchy for Fine-Grained Open-Set Detection. ICML Spandan Pyakurel, Qi Yu
2025	A*	`conf`	Looking into User's Long-term Interests through the Lens of Conservative Evidential Learning. ICLR Dingrong Wang, Krishna Prasad Neupane, Ervine Zheng, Qi Yu
2024	J	`jnl`	ALL: Supporting Experiential Accessibility Education and Inclusive Software Development. ACM Trans. Softw. Eng. Methodol. Weishi Shi, Heather Moses, Qi Yu, Samuel A. Malachowsky, Daniel E. Krutz
2024	A*	`conf`	Adaptive Important Region Selection with Reinforced Hierarchical Search for Dense Object Detection. NeurIPS Dingrong Wang, Hitesh Sapkota, Qi Yu
2024	A*	`conf`	Balancing Feature Similarity and Label Variability for Optimal Size-Aware One-shot Subset Selection. ICML Abhinab Acharya, Dayou Yu, Qi Yu, Xumin Liu
2024	A*	`conf`	Be Confident in What You Know: Bayesian Parameter Efficient Fine-Tuning of Vision Foundation Models. NeurIPS Deep Shankar Pandey, Spandan Pyakurel, Qi Yu
2024	J	`jnl`	Deep energy-pressure regression for a thermodynamically consistent EOS model. Mach. Learn. Sci. Technol. Dayou Yu, Deep Shankar Pandey, Joshua Hinz, Deyan I. Mihaylov, Valentin V. Karasiev, Suxing Hu, Qi Yu
2024	A*	`conf`	Dual-Level Curriculum Meta-Learning for Noisy Few-Shot Learning Tasks. AAAI Xiaofan Que, Qi Yu
2024	A*	`conf`	Evidential Mixture Machines: Deciphering Multi-Label Correlations for Active Learning Sensitivity. NeurIPS Dayou Yu, Minghao Li, Weishi Shi, Qi Yu
2024	A*	`conf`	Evidential Stochastic Differential Equations for Time-Aware Sequential Recommendation. NeurIPS Krishna Prasad Neupane, Ervine Zheng, Qi Yu
2024	A*	`conf`	Hierarchical Novelty Detection via Fine-Grained Evidence Allocation. ICML Spandan Pyakurel, Qi Yu
2024	A*	`conf`	Meta Evidential Transformer for Few-Shot Open-Set Recognition. ICML Hitesh Sapkota, Krishna Prasad Neupane, Qi Yu
2024	—	`conf`	Optimal Transport of Diverse Unsupervised Tasks for Robust Learning from Noisy Few-Shot Data. ECCV (39) Xiaofan Que, Qi Yu
2024	A*	`conf`	Reinforced Compressive Neural Architecture Search for Versatile Adversarial Robustness. KDD Dingrong Wang, Hitesh Sapkota, Zhiqiang Tao, Qi Yu
2024	J	`jnl`	Reinforced Compressive Neural Architecture Search for Versatile Adversarial Robustness. CoRR Dingrong Wang, Hitesh Sapkota, Zhiqiang Tao, Qi Yu
2023	A*	`conf`	Actively Testing Your Model While It Learns: Realizing Label-Efficient Learning in Practice. NeurIPS Dayou Yu, Weishi Shi, Qi Yu
2023	A*	`conf`	Adaptive Robust Evidential Optimization For Open Set Detection from Imbalanced Data. ICLR Hitesh Sapkota, Qi Yu
2023	A*	`conf`	Deep Temporal Sets with Evidential Reinforced Attentions for Unique Behavioral Pattern Discovery. ICML Dingrong Wang, Deep Shankar Pandey, Krishna Prasad Neupane, Zhiwei Yu, Ervine Zheng, Zhi Zheng, Qi Yu
2023	A*	`conf`	Discover-Then-Rank Unlabeled Support Vectors in the Dual Space for Multi-Class Active Learning. ICML Dayou Yu, Weishi Shi, Qi Yu
2023	A*	`conf`	Distributionally Robust Ensemble of Lottery Tickets Towards Calibrated Sparse Network Training. NeurIPS Hitesh Sapkota, Dingrong Wang, Zhiqiang Tao, Qi Yu
2023	A*	`conf`	Evidential Conditional Neural Processes. AAAI Deep Shankar Pandey, Qi Yu
2023	A*	`conf`	Evidential Interactive Learning for Medical Image Captioning. ICML Ervine Zheng, Qi Yu
2023	A	`conf`	Knowledge Acquisition for Human-In-The-Loop Image Captioning. AISTATS Ervine Zheng, Qi Yu, Rui Li, Pengcheng Shi, Anne R. Haake
2023	J	`jnl`	Latent Space Energy-based Model for Fine-grained Open Set Recognition. CoRR Wentao Bao, Qi Yu, Yu Kong
2023	A*	`conf`	Learn to Accumulate Evidence from All Training Samples: Theory and Practice. ICML Deep Shankar Pandey, Qi Yu
2023	J	`jnl`	Learn to Accumulate Evidence from All Training Samples: Theory and Practice. CoRR Deep Shankar Pandey, Qi Yu
2023	J	`jnl`	On Model Explanations with Transferable Neural Pathways. CoRR Xinmiao Lin, Wentao Bao, Qi Yu, Yu Kong
2023	A*	`conf`	STARS: Spatial-Temporal Active Re-sampling for Label-Efficient Learning from Noisy Annotations. AAAI Dayou Yu, Weishi Shi, Qi Yu
2023	A*	`conf`	Scaling Up Dynamic Graph Representation Learning via Spiking Neural Networks. AAAI Jintang Li, Zhouxin Yu, Zulun Zhu, Liang Chen, Qi Yu, Zibin Zheng, Sheng Tian, Ruofan Wu, Changhua Meng
2023	A*	`conf`	Sparse Maximum Margin Learning from Multimodal Human Behavioral Patterns. AAAI Ervine Zheng, Qi Yu, Zhi Zheng
2022	A*	`conf`	A Dynamic Meta-Learning Model for Time-Sensitive Cold-Start Recommendations. AAAI Krishna Prasad Neupane, Ervine Zheng, Yu Kong, Qi Yu
2022	J	`jnl`	A Dynamic Meta-Learning Model for Time-Sensitive Cold-Start Recommendations. CoRR Krishna Prasad Neupane, Ervine Zheng, Yu Kong, Qi Yu
2022	A*	`conf`	Balancing Bias and Variance for Active Weakly Supervised Learning. KDD Hitesh Sapkota, Qi Yu
2022	J	`jnl`	Balancing Bias and Variance for Active Weakly Supervised Learning. CoRR Hitesh Sapkota, Qi Yu
2022	A*	`conf`	Bayesian Nonparametric Submodular Video Partition for Robust Anomaly Detection. CVPR Hitesh Sapkota, Qi Yu
2022	J	`jnl`	Bayesian Nonparametric Submodular Video Partition for Robust Anomaly Detection. CoRR Hitesh Sapkota, Qi Yu
2022	A	`conf`	Dual-Level Adaptive Information Filtering for Interactive Image Segmentation. AISTATS Ervine Zheng, Qi Yu, Rui Li, Pengcheng Shi, Anne R. Haake
2022	J	`jnl`	Evidential Conditional Neural Processes. CoRR Deep Shankar Pandey, Qi Yu
2022	—	`conf`	Hierarchical Bayesian multi-kernel learning for integrated classification and summarization of app reviews. ESEC/SIGSOFT FSE Moayad Alshangiti, Weishi Shi, Eduardo Lima, Xumin Liu, Qi Yu
2022	A*	`conf`	Multidimensional Belief Quantification for Label-Efficient Meta-Learning. CVPR Deep Shankar Pandey, Qi Yu
2022	J	`jnl`	Multidimensional Belief Quantification for Label-Efficient Meta-Learning. CoRR Deep Shankar Pandey, Qi Yu
2022	A	`conf`	Online Learning Using Incomplete Execution Data for Self-Adaptive Service-Oriented Systems. ICWS Niranjana Deshpande, Naveen Sharma, Qi Yu, Daniel E. Krutz
2022	A*	`conf`	OpenTAL: Towards Open Set Temporal Action Localization. CVPR Wentao Bao, Qi Yu, Yu Kong
2022	J	`jnl`	OpenTAL: Towards Open Set Temporal Action Localization. CoRR Wentao Bao, Qi Yu, Yu Kong
2022	J	`jnl`	Scaling Up Dynamic Graph Representation Learning via Spiking Neural Networks. CoRR Jintang Li, Zhouxin Yu, Zulun Zhu, Liang Chen, Qi Yu, Zibin Zheng, Sheng Tian, Ruofan Wu, Changhua Meng
2022	J	`jnl`	Singular value decomposition-based behavior-aware cloud service application programming interfaces recommendation for large-scale software cloud directory platforms. Concurr. Comput. Pract. Exp. Lei Wang, Yunqiu Zhang, Xubin Zheng, Qi Yu, Shuhan Chen, Junyao Ding
2022	A*	`conf`	Spiking Graph Convolutional Networks. IJCAI Zulun Zhu, Jiaying Peng, Jintang Li, Liang Chen, Qi Yu, Siqiang Luo
2022	J	`jnl`	Spiking Graph Convolutional Networks. CoRR Zulun Zhu, Jiaying Peng, Jintang Li, Liang Chen, Qi Yu, Siqiang Luo
2022	—	`conf`	Towards Open Set Video Anomaly Detection. ECCV (34) Yuansheng Zhu, Wentao Bao, Qi Yu
2022	J	`jnl`	Towards Open Set Video Anomaly Detection. CoRR Yuansheng Zhu, Wentao Bao, Qi Yu
2021	A*	`conf`	A Continual Learning Framework for Uncertainty-Aware Interactive Image Segmentation. AAAI Ervine Zheng, Qi Yu, Rui Li, Pengcheng Shi, Anne R. Haake
2021	A*	`conf`	A Gaussian Process-Bayesian Bernoulli Mixture Model for Multi-Label Active Learning. NeurIPS Weishi Shi, Dayou Yu, Qi Yu
2021	J	`jnl`	A survey of immersive technologies and applications for industrial product development. Comput. Graph. Rui Liu, Chao Peng, Yunbo Zhang, Hannah Husarek, Qi Yu
2021	A	`conf`	Active Learning with Maximum Margin Sparse Gaussian Processes. AISTATS Weishi Shi, Qi Yu
2021	A*	`conf`	DRIVE: Deep Reinforced Accident Anticipation with Visual Explanation. ICCV Wentao Bao, Qi Yu, Yu Kong
2021	J	`jnl`	DRIVE: Deep Reinforced Accident Anticipation with Visual Explanation. CoRR Wentao Bao, Qi Yu, Yu Kong
2021	A*	`conf`	Deep Reinforced Attention Regression for Partial Sketch Based Image Retrieval. ICDM Dingrong Wang, Hitesh Sapkota, Xumin Liu, Qi Yu
2021	J	`jnl`	Deep Reinforced Attention Regression for Partial Sketch Based Image Retrieval. CoRR Dingrong Wang, Hitesh Sapkota, Xumin Liu, Qi Yu
2021	A	`conf`	Distributionally Robust Optimization for Deep Kernel Multiple Instance Learning. AISTATS Hitesh Sapkota, Yiming Ying, Feng Chen, Qi Yu
2021	A*	`conf`	Evidential Deep Learning for Open Set Action Recognition. ICCV Wentao Bao, Qi Yu, Yu Kong
2021	J	`jnl`	Evidential Deep Learning for Open Set Action Recognition. CoRR Wentao Bao, Qi Yu, Yu Kong
2021	A*	`conf`	MetaEDL: Meta Evidential Learning For Uncertainty-Aware Cold-Start Recommendations. ICDM Krishna Prasad Neupane, Ervine Zheng, Qi Yu
2021	A	`conf`	R-CASS: Using Algorithm Selection for Self-Adaptive Service Oriented Systems. ICWS Niranjana Deshpande, Naveen Sharma, Qi Yu, Daniel E. Krutz
2021	—	`conf`	Uncertainty-Aware Multiple Instance Learning from Large-Scale Long Time Series Data. IEEE BigData Yuansheng Zhu, Weishi Shi, Deep Shankar Pandey, Yang Liu, Xiaofan Que, Daniel E. Krutz, Qi Yu
2021	J	`jnl`	Uncertainty-Aware Multiple Instance Learning from Large-Scale Long Time Series Data. CoRR Yuansheng Zhu, Weishi Shi, Deep Shankar Pandey, Yang Liu, Xiaofan Que, Daniel E. Krutz, Qi Yu
2020	J	`jnl`	A Bayesian learning model for design-phase service mashup popularity prediction. Expert Syst. Appl. Moayad Alshangiti, Weishi Shi, Xumin Liu, Qi Yu
2020	Misc	`conf`	Analytics Prevalent Undergraduate IT Program. SIGITE Jai W. Kang, Qi Yu, Edward P. Holden, Erik Golen, Michael McQuaid
2020	A*	`conf`	Dynamic Fusion of Eye Movement Data and Verbal Narrations in Knowledge-rich Domains. NeurIPS Ervine Zheng, Qi Yu, Rui Li, Pengcheng Shi, Anne R. Haake
2020	—	`conf`	Experiential learning in computing accessibility education. ICSE (Companion Volume) Weishi Shi, Saad Khan, Yasmine N. El-Glaly, Samuel A. Malachowsky, Qi Yu, Daniel E. Krutz
2020	J	`jnl`	Histopathological distinction of non-invasive and invasive bladder cancers using machine learning approaches. BMC Medical Informatics Decis. Mak. Peng-Nien Yin, Kishan KC, Shishi Wei, Qi Yu, Rui Li, Anne R. Haake, Hiroshi Miyamoto, Feng Cui
2020	J	`jnl`	Improving the Decision-Making Process of Self-Adaptive Systems by Accounting for Tactic Volatility. CoRR Jeffrey Palmerino, Qi Yu, Travis Desell, Daniel E. Krutz
2020	J	`jnl`	Integrating recurrent neural networks and reinforcement learning for dynamic service composition. Future Gener. Comput. Syst. HongBing Wang, Jiajie Li, Qi Yu, Tianjing Hong, Jia Yan, Wei Zhao
2020	J	`jnl`	Integrating reinforcement learning and skyline computing for adaptive service composition. Inf. Sci. HongBing Wang, Xingguo Hu, Qi Yu, Mingzhu Gu, Wei Zhao, Jia Yan, Tianjing Hong
2020	J	`jnl`	Multi-Clusters Adaptive Brain Storm Optimization Algorithm for QoS-Aware Service Composition. IEEE Access Shunshun Peng, HongBing Wang, Qi Yu
2020	A*	`conf`	Multifaceted Uncertainty Estimation for Label-Efficient Deep Learning. NeurIPS Weishi Shi, Xujiang Zhao, Feng Chen, Qi Yu
2020	A	`conf`	Object-Aware Centroid Voting for Monocular 3D Object Detection. IROS Wentao Bao, Qi Yu, Yu Kong
2020	J	`jnl`	Object-Aware Centroid Voting for Monocular 3D Object Detection. CoRR Wentao Bao, Qi Yu, Yu Kong
2020	J	`jnl`	Presenting and Evaluating the Impact of Experiential Learning in Computing Accessibility Education. CoRR Weishi Shi, Samuel A. Malachowsky, Yasmine N. El-Glaly, Qi Yu, Daniel E. Krutz
2020	—	`conf`	Presenting and evaluating the impact of experiential learning in computing accessibility education. ICSE (SEET) Yasmine N. El-Glaly, Weishi Shi, Samuel A. Malachowsky, Qi Yu, Daniel E. Krutz
2020	—	`ed.`	Service-Oriented Computing - ICSOC 2019 Workshops - WESOACS, ASOCA, ISYCC, TBCE, and STRAPS, Toulouse, France, October 28-31, 2019, Revised Selected Papers ICSOC Workshops Sami Yangui, Athman Bouguettaya, Xiao Xue, Noura Faci, Walid Gaaloul, Qi Yu, Zhangbing Zhou, Nathalie Hernandez, Elisa Yumi Nakagawa
2020	A*	`conf`	Uncertainty-based Traffic Accident Anticipation with Spatio-Temporal Relational Learning. ACM Multimedia Wentao Bao, Qi Yu, Yu Kong
2020	J	`jnl`	Uncertainty-based Traffic Accident Anticipation with Spatio-Temporal Relational Learning. CoRR Wentao Bao, Qi Yu, Yu Kong
2019	J	`jnl`	A motifs-based Maximum Entropy Markov Model for realtime reliability prediction in System of Systems. J. Syst. Softw. HongBing Wang, Huanhuan Fei, Qi Yu, Wei Zhao, Jia Yan, Tianjing Hong
2019	J	`jnl`	A parallel refined probabilistic approach for QoS-aware service composition. Future Gener. Comput. Syst. HongBing Wang, Shunshun Peng, Qi Yu
2019	J	`jnl`	Adaptive and large-scale service composition based on deep reinforcement learning. Knowl. Based Syst. HongBing Wang, Mingzhu Gu, Qi Yu, Yong Tao, Jiajie Li, Huanhuan Fei, Jia Yan, Wei Zhao, Tianjing Hong
2019	Misc	`conf`	Complementing Course Contents Between IT/CS: A Case Study on Database Courses. SIGITE Jai W. Kang, Qi Yu, Edward P. Holden, Xumin Liu
2019	A*	`conf`	Fast Direct Search in an Optimally Compressed Continuous Target Space for Efficient Multi-Label Active Learning. ICML Weishi Shi, Qi Yu
2019	J	`jnl`	GNE: a deep learning framework for gene network inference by aggregating biological information. BMC Syst. Biol. Kishan KC, Rui Li, Feng Cui, Qi Yu, Anne R. Haake
2019	A*	`conf`	Improving the Decision-Making Process of Self-Adaptive Systems by Accounting for Tactic Volatility. ASE Jeffrey Palmerino, Qi Yu, Travis Desell, Daniel E. Krutz
2019	A*	`conf`	Integrating Bayesian and Discriminative Sparse Kernel Machines for Multi-class Active Learning. NeurIPS Weishi Shi, Qi Yu
2019	J	`jnl`	Integrating Multi-level Tag Recommendation with External Knowledge Bases for Automatic Question Answering. ACM Trans. Internet Techn. Eduardo Lima, Weishi Shi, Xumin Liu, Qi Yu
2019	J	`jnl`	Learning the Evolution Regularities for BigService-Oriented Online Reliability Prediction. IEEE Trans. Serv. Comput. HongBing Wang, Lei Wang, Qi Yu, Zibin Zheng
2019	J	`jnl`	Personalized service selection using Conditional Preference Networks. Knowl. Based Syst. HongBing Wang, Yong Tao, Qi Yu, Tianjing Hong, Chen Xin, Qin Wu
2019	—	`ed.`	Service-Oriented Computing - ICSOC 2018 Workshops - ADMS, ASOCA, ISYyCC, CloTS, DDBS, and NLS4IoT, Hangzhou, China, November 12-15, 2018, Revised Selected Papers ICSOC Workshops Xiao Liu, Michael Mrissa, Liang Zhang, Djamal Benslimane, Aditya Ghose, Zhongjie Wang, Antonio Bucchiarone, Wei Zhang, Ying Zou, Qi Yu
2019	A	`conf`	Why is Developing Machine Learning Applications Challenging? A Study on Stack Overflow Posts. ESEM Moayad Alshangiti, Hitesh Sapkota, Pradeep K. Murukannaiah, Xumin Liu, Qi Yu
2018	J	`jnl`	A proactive approach based on online reliability prediction for adaptation of service-oriented systems. J. Parallel Distributed Comput. HongBing Wang, Lei Wang, Qi Yu, Zibin Zheng, Zhengping Yang
2018	A*	`conf`	An Efficient Many-Class Active Learning Framework for Knowledge-Rich Domains. ICDM Weishi Shi, Qi Yu
2018	J	`jnl`	Effective BigData-Space Service Selection over Trust and Heterogeneous QoS Preferences. IEEE Trans. Serv. Comput. HongBing Wang, Chao Yu, Lei Wang, Qi Yu
2018	—	`conf`	From Novice to Expert Narratives of Dermatological Disease. PerCom Workshops Nse Obot, Laura OrMalley, Ifeoma Nwogu, Qi Yu, Weishi Shi, Xuan Guo
2018	Misc	`conf`	IT Curriculum: Coping with Technology Trends & Industry Demands. SIGITE Jai W. Kang, Qi Yu, Erik Golen, Edward P. Holden
2018	J	`jnl`	Incorporating both qualitative and quantitative preferences for service recommendation. J. Parallel Distributed Comput. HongBing Wang, Yong Tao, Qi Yu, Xin Lin, Tianjing Hong
2018	J	`jnl`	Integrating modified cuckoo algorithm and creditability evaluation for QoS-aware service composition. Knowl. Based Syst. HongBing Wang, Danrong Yang, Qi Yu, Yong Tao
2018	J	`jnl`	Log sequence clustering for workflow mining in multi-workflow systems. Data Knowl. Eng. Xumin Liu, Moayad Alshangiti, Chen Ding, Qi Yu
2018	J	`jnl`	Online reliability time series prediction via convolutional neural network and long short term memory for service-oriented systems. Knowl. Based Syst. HongBing Wang, Zhengping Yang, Qi Yu, Tianjing Hong, Xin Lin
2018	A	`ed.`	Service-Oriented Computing - 16th International Conference, ICSOC 2018, Hangzhou, China, November 12-15, 2018, Proceedings ICSOC Claus Pahl, Maja Vukovic, Jianwei Yin, Qi Yu
2018	J	`jnl`	Tag-aware dynamic music recommendation. Expert Syst. Appl. Ervine Zheng, Gustavo Yukio Kondo, Stephen J. Zilora, Qi Yu
2017	J	`jnl`	A service computing manifesto: the next 10 years. Commun. ACM Athman Bouguettaya, Munindar P. Singh, Michael N. Huhns, Quan Z. Sheng, Hai Dong, Qi Yu, Azadeh Ghari Neiat, Sajib Mistry, Boualem Benatallah, Brahim Medjahed, Mourad Ouzzani, Fabio Casati, Xumin Liu, HongBing Wang, Dimitrios Georgakopoulos, Liang Chen, Surya Nepal, Zaki Malik, Abdelkarim Erradi, Yan Wang, M. Brian Blake, Schahram Dustdar, Frank Leymann, Michael P. Papazoglou
2017	J	`jnl`	Combining quantitative constraints with qualitative preferences for effective non-functional properties-aware service composition. J. Parallel Distributed Comput. HongBing Wang, Peisheng Ma, Qi Yu, Danrong Yang, Jiajie Li, Huanhuan Fei
2017	A	`conf`	Correlation-Aware Multi-Label Active Learning for Web Service Tag Recommendation. ICWS Weishi Shi, Xumin Liu, Qi Yu
2017	A	`conf`	Estimation of Distribution with Restricted Boltzmann Machine for Adaptive Service Composition. ICWS Shunshun Peng, HongBing Wang, Qi Yu
2017	J	`jnl`	Integrating Reinforcement Learning with Multi-Agent Techniques for Adaptive Service Composition. ACM Trans. Auton. Adapt. Syst. HongBing Wang, Xin Chen, Qin Wu, Qi Yu, Xingguo Hu, Zibin Zheng, Athman Bouguettaya
2017	A	`conf`	Large-Scale and Adaptive Service Composition Using Deep Reinforcement Learning. ICSOC HongBing Wang, Mingzhu Gu, Qi Yu, Huanhuan Fei, Jiajie Li, Yong Tao
2017	A*	`conf`	Modeling Physicians' Utterances to Explore Diagnostic Decision-making. IJCAI Xuan Guo, Rui Li, Qi Yu, Anne R. Haake
2017	A	`conf`	Online Reliability Prediction via Long Short Term Memory for Service-Oriented Systems. ICWS HongBing Wang, Zhengping Yang, Qi Yu
2017	J	`jnl`	Online Reliability Prediction via Motifs-Based Dynamic Bayesian Networks for Service-Oriented Systems. IEEE Trans. Software Eng. HongBing Wang, Lei Wang, Qi Yu, Zibin Zheng, Athman Bouguettaya, Michael R. Lyu
2017	—	`ed.`	Service-Oriented Computing - ICSOC 2016 Workshops - ASOCA, ISyCC, BSCI, and Satellite Events, Banff, AB, Canada, October 10-13, 2016. Revised Selected Papers ICSOC Workshops Khalil Drira, HongBing Wang, Qi Yu, Yan Wang, Yuhong Yan, François Charoy, Jan Mendling, Mohamed Mohamed, Zhongjie Wang, Sami Bhiri
2017	J	`jnl`	Statistical Learning of Domain-Specific Quality-of-Service Features from User Reviews. ACM Trans. Internet Techn. Xumin Liu, Weishi Shi, Arpeet Kale, Chen Ding, Qi Yu
2017	Misc	`conf`	Teaching IoT (Internet of Things) Analytics. SIGITE Jai W. Kang, Qi Yu, Erik Golen
2016	—	`conf`	An Expert-in-the-loop Paradigm for Learning Medical Image Grouping. PAKDD (1) Xuan Guo, Qi Yu, Rui Li, Cecilia Ovesdotter Alm, Cara Calvelli, Pengcheng Shi, Anne R. Haake
2016	A	`conf`	An LDA-SVM Active Learning Framework for Web Service Classification. ICWS Xumin Liu, Shaleen Agarwal, Chen Ding, Qi Yu
2016	A	`conf`	Automatic Hierarchical Reinforcement Learning for Efficient Large-Scale Service Composition. ICWS HongBing Wang, Guicheng Huang, Qi Yu
2016	J	`jnl`	Effective service composition using multi-agent reinforcement learning. Knowl. Based Syst. HongBing Wang, Xiaojun Wang, Xingzhi Zhang, Qi Yu, Xingguo Hu
2016	J	`jnl`	Guest Editorial: Big Data Analytics and the Web. IEEE Trans. Big Data Michael Sheng, Athanasios V. Vasilakos, Qi Yu, Lina You
2016	—	`conf`	Incorporating Heterogeneous Information for Mashup Discovery with Consistent Regularization. PAKDD (1) Yao Wan, Liang Chen, Qi Yu, Tingting Liang, Jian Wu
2016	A	`conf`	Integrating POMDP and SARSA( \lambda λ ) for Service Composition with Incomplete Information. ICSOC HongBing Wang, Xingzhi Zhang, Qi Yu
2016	J	`jnl`	Intelligent medical image grouping through interactive learning. Int. J. Data Sci. Anal. Xuan Guo, Qi Yu, Rui Li, Cecilia Ovesdotter Alm, Cara Calvelli, Pengcheng Shi, Anne R. Haake
2016	Misc	`conf`	Security Requirements Embedded in MS Programs in Information Sciences and Technologies. SIGITE Jai W. Kang, Qi Yu, Edward P. Holden, Tae H. Oh
2016	—	`conf`	Towards Early Dementia Detection: Fusing Linguistic and Non-Linguistic Clinical Data. CLPsych@HLT-NAACL Joseph Bullard, Cecilia Ovesdotter Alm, Xumin Liu, Qi Yu, Rubén A. Proaño
2015	A	`conf`	Aggregating Functionality, Use History, and Popularity of APIs to Recommend Mashup Creation. ICSOC Aditi Jain, Xumin Liu, Qi Yu
2015	J	`jnl`	CloudRec: a framework for personalized service Recommendation in the Cloud. Knowl. Inf. Syst. Qi Yu
2015	A	`conf`	Discovering Web Services to Improve Requirements Decomposition. ICWS HongBing Wang, Suxiang Zhou, Qi Yu
2015	J	`jnl`	Efficient agglomerative hierarchical clustering. Expert Syst. Appl. Athman Bouguettaya, Qi Yu, Xumin Liu, Xiangmin Zhou, Andy Song
2015	—	`ch.`	Evolutionary Influence Maximization in Viral Marketing. Recommendation and Search in Social Networks Sanket Anil Naik, Qi Yu
2015	A	`conf`	Extracting, Ranking, and Evaluating Quality Features of Web Services through User Review Sentiment Analysis. ICWS Xumin Liu, Arpeet Kale, Javed Wasani, Chen Ding, Qi Yu
2015	J	`jnl`	Guest Editorial: Big Data Analytics and the Web. IEEE Trans. Big Data Quan Z. Sheng, Athanasios V. Vasilakos, Qi Yu, Lina Yao
2015	A	`conf`	Integrating Gaussian Process with Reinforcement Learning for Adaptive Service Composition. ICSOC HongBing Wang, Qin Wu, Xin Chen, Qi Yu
2015	A	`conf`	Learning Sparse Functional Factors for Large-Scale Service Clustering. ICWS Qi Yu, HongBing Wang, Liang Chen
2015	Misc	`conf`	Pillars of Analytics Applied in MS Degree in Information Sciences and Technologies. SIGITE Jai W. Kang, Edward P. Holden, Qi Yu
2015	A	`conf`	Time-Aware API Popularity Prediction via Heterogeneous Features. ICWS Yao Wan, Liang Chen, Jian Wu, Qi Yu
2015	J	`jnl`	Trust-aware media recommendation in heterogeneous social networks. World Wide Web Jian Wu, Liang Chen, Qi Yu, Panpan Han, Zhaohui Wu
2015	A	`conf`	WS-HFS: A Heterogeneous Feature Selection Framework for Web Services Mining. ICWS Liang Chen, Qi Yu, Philip S. Yu, Jian Wu
2015	—	`ch.`	Web-Based Implementation of Data Warehouse Schema Evolution. New Trends in Intelligent Information and Database Systems Jai W. Kang, Fnu Basrizal, Qi Yu, Edward P. Holden
2014	A	`conf`	A Novel Online Reliability Prediction Approach for Service-Oriented Systems. ICWS HongBing Wang, Lei Wang, Qi Yu, Zibin Zheng
2014	A	`conf`	Adaptive and Dynamic Service Composition via Multi-agent Reinforcement Learning. ICWS HongBing Wang, Qin Wu, Xin Chen, Qi Yu, Zibin Zheng, Athman Bouguettaya
2014	Misc	`conf`	Design of an analytic centric MS degree in information sciences and technologies. SIGITE Jai W. Kang, Edward P. Holden, Qi Yu
2014	J	`jnl`	From spoken narratives to domain knowledge: Mining linguistic data for medical image understanding. Artif. Intell. Medicine Xuan Guo, Qi Yu, Cecilia Ovesdotter Alm, Cara Calvelli, Jeff B. Pelz, Pengcheng Shi, Anne R. Haake
2014	—	`conf`	Fusing Multimodal Human Expert Data to Uncover Hidden Semantics. GazeIn@ICMI Xuan Guo, Qi Yu, Rui Li, Cecilia Ovesdotter Alm, Anne R. Haake
2014	B	`conf`	Infusing perceptual expertise and domain knowledge into a human-centered image retrieval system: a prototype application. ETRA Xuan Guo, Rui Li, Cecilia Ovesdotter Alm, Qi Yu, Jeff B. Pelz, Pengcheng Shi, Anne R. Haake
2014	A	`conf`	Integrating On-policy Reinforcement Learning with Multi-agent Techniques for Adaptive Service Composition. ICSOC HongBing Wang, Xin Chen, Qin Wu, Qi Yu, Zibin Zheng, Athman Bouguettaya
2014	—	`ch.`	On Bootstrapping Web Service Recommendation. Web Services Foundations Qi Yu
2014	J	`jnl`	QoS-aware service selection via collaborative QoS evaluation. World Wide Web Qi Yu
2014	—	`conf`	Towards Automatic Annotation of Clinical Decision-Making Style. LAW@COLING Limor Hochberg, Cecilia Ovesdotter Alm, Esa M. Rantanen, Qi Yu, Caroline M. DeLong, Anne R. Haake
2014	B	`conf`	Towards multimodal modeling of physicians' diagnostic confidence and self-awareness using medical narratives. COLING Joseph Bullard, Cecilia Ovesdotter Alm, Qi Yu, Pengcheng Shi, Anne R. Haake
2014	J	`jnl`	Web Service Recommendation via Exploiting Location and QoS Information. IEEE Trans. Parallel Distributed Syst. Xi Chen, Zibin Zheng, Qi Yu, Michael R. Lyu
2013	J	`jnl`	Efficient Large-Scale Service Clustering via Sparse Functional Representation and Accelerated Optimization. Int. J. Cooperative Inf. Syst. Qi Yu
2013	J	`jnl`	Efficient Service Skyline Computation for Composite Service Selection. IEEE Trans. Knowl. Data Eng. Qi Yu, Athman Bouguettaya
2013	B	`conf`	Maximizing influence of viral marketing via evolutionary user selection. ASONAM Sanket Anil Naik, Qi Yu
2013	A	`conf`	Online Reliability Time Series Prediction for Service-Oriented System of Systems. ICSOC Lei Wang, HongBing Wang, Qi Yu, Haixia Sun, Athman Bouguettaya
2013	—	`conf`	Optimal Self-Healing of Service-Oriented Systems with Incomplete Information. BigData Congress HongBing Wang, Xiaojun Wang, Qi Yu
2013	—	`conf`	Reliable Service Composition via Automatic QoS Prediction. IEEE SCC HongBing Wang, Haixia Sun, Qi Yu
2013	J	`jnl`	Selecting skyline services for QoS-aware composition by upgrading MapReduce paradigm. Clust. Comput. Jian Wu, Liang Chen, Qi Yu, Li Kuang, Yilun Wang, Zhaohui Wu
2013	—	`ed.`	Service-Oriented Computing - ICSOC 2012 Workshops - ICSOC 2012, International Workshops ASC, DISA, PAASC, SCEB, SeMaPS, WESOA, and Satellite Events, Shanghai, China, November 12-15, 2012, Revised Selected Papers ICSOC Workshops Aditya K. Ghose, Huibiao Zhu, Qi Yu, Alex Delis, Quan Z. Sheng, Olivier Perrin, Jianmin Wang, Yan Wang
2013	A	`conf`	Trace Norm Regularized Matrix Factorization for Service Recommendation. ICWS Qi Yu, Zibin Zheng, HongBing Wang
2013	A	`conf`	WT-LDA: User Tagging Augmented LDA for Web Service Clustering. ICSOC Liang Chen, Yilun Wang, Qi Yu, Zibin Zheng, Jian Wu
2012	A	`conf`	Decision Tree Learning from Incomplete QoS to Bootstrap Service Recommendation. ICWS Qi Yu
2012	J	`jnl`	Integrating User Invocation Data and Extended Semantics for Service Community Discovery. Int. J. Next Gener. Comput. Qi Yu, Jai W. Kang
2012	J	`jnl`	Multi-attribute optimization in service selection. World Wide Web Qi Yu, Athman Bouguettaya
2012	A	`ed.`	Service-Oriented Computing - 10th International Conference, ICSOC 2012, Shanghai, China, November 12-15, 2012. Proceedings ICSOC Chengfei Liu, Heiko Ludwig, Farouk Toumani, Qi Yu
2012	A	`conf`	Sparse Functional Representation for Large-Scale Service Clustering. ICSOC Qi Yu
2011	J	`jnl`	Efficient change management in long-term composed services. Serv. Oriented Comput. Appl. Xumin Liu, Athman Bouguettaya, Qi Yu, Zaki Malik
2011	Misc	`conf`	Efficient range query processing on uncertain data. IRI Andrew Knight, Qi Yu, Manjeet Rege
2011	A	`conf`	Place Semantics into Context: Service Community Discovery from the WSDL Corpus. ICSOC Qi Yu
2011	J	`jnl`	Service-Centric Framework for a Digital Government Application. IEEE Trans. Serv. Comput. Athman Bouguettaya, Qi Yu, Xumin Liu, Zaki Malik
2011	J	`jnl`	Web Service management system for bioinformatics research: a case study. Serv. Oriented Comput. Appl. Kai Xu, Qi Yu, Qing Liu, Ji Zhang, Athman Bouguettaya
2010	J	`jnl`	A two-phase framework for quality-aware Web service selection. Serv. Oriented Comput. Appl. Qi Yu, Manjeet Rege, Athman Bouguettaya, Brahim Medjahed, Mourad Ouzzani
2010	—	`conf`	Biclustering and Feature Selection Techniques in Bioinformatics. ICDEM Bhavik Desai, Pankaj Andhale, Manjeet Rege, Qi Yu
2010	J	`jnl`	Computing Service Skyline from Uncertain QoWS. IEEE Trans. Serv. Comput. Qi Yu, Athman Bouguettaya
2010	A	`conf`	Computing Service Skylines over Sets of Services. ICWS Qi Yu, Athman Bouguettaya
2010	J	`jnl`	Guest Editorial: Special Section on Query Models and Efficient Selection of Web Services. IEEE Trans. Serv. Comput. Qi Yu, Athman Bouguettaya
2010	A	`conf`	On Service Community Learning: A Co-clustering Approach. ICWS Qi Yu, Manjeet Rege
2009	A	`conf`	A Relational Approach for Ef?cient Service Selection. ICWS Qi Yu, Manjeet Rege
2009	—	`ch.`	Clustering Analysis of Data with High Dimensionality. Encyclopedia of Data Warehousing and Mining Athman Bouguettaya, Qi Yu
2008	—	`—`	A Foundational Framework for Service Query Optimization. Qi Yu
2008	J	`jnl`	Deploying and managing Web services: issues, solutions, and directions. VLDB J. Qi Yu, Xumin Liu, Athman Bouguettaya, Brahim Medjahed
2008	J	`jnl`	Effcient Mining of Heterogeneous Star-Structured Data. Int. J. Softw. Informatics Manjeet Rege, Qi Yu
2008	J	`jnl`	Framework for Web service query algebra and optimization. ACM Trans. Web Qi Yu, Athman Bouguettaya
2006	—	`conf`	Ubiquitous Web Services for E-Government Social Services. AAAI Spring Symposium: Semantic Web Meets eGovernment Athman Bouguettaya, Denis Gracanin, Qi Yu, Xiaoyu Zhang, Xumin Liu, Zaki Malik
2004	—	`conf`	WebDG - A Platform for E-Government Web Services. ER (Workshops) Athman Bouguettaya, Brahim Medjahed, Abdelmounaam Rezgui, Mourad Ouzzani, Xumin Liu, Qi Yu