Weishi Shi, Dayou Yu, and Qi Yu: A Gaussian Process-Bayesian Bernoulli Mixture Model for Multi-Label Active Learning, NeurIPS 2021.
Dingrong Wang, Hitesh Sapkota, Xumin Liu, and Qi Yu: Deep Reinforced Attention Regression for Partial Sketch Based Image Retrieval, ICDM 2021 (full paper).
Krishna Neupane, Ervine Zheng, and Qi Yu:MetaEDL: Meta Evidential Learning For Uncertainty-Aware Cold-Start Recommendations, ICDM 2021 (short paper).
Wentao Bao, Qi Yu, Yu Kong: Evidential Deep Learning for Open Set Action Recognition. ICCV 2021 (oral).
Wentao Bao, Qi Yu, Yu Kong: DRIVE: Deep Reinforced Accident Anticipation with Visual Explanation. ICCV 2021.
Niranjana Deshpande, Naveen Sharma, Qi Yu and Daniel Krutz: R-CASS: Using Algorithm Selection for Self-Adaptive Service Oriented Systems, ICWS 2021 (best paper award)
Weishi Shi, Qi Yu: Active Learning with Maximum Margin Sparse Gaussian Processes. AISTATS 2021: 406-414
Hitesh Sapkota, Yiming Ying, Feng Chen, Qi Yu: Distributionally Robust Optimization for Deep Kernel Multiple Instance Learning. AISTATS 2021: 2188-2196
Ervine Zheng, Qi Yu, Rui Li, Pengcheng Shi, Anne R. Haake: A Continual Learning Framework for Uncertainty-Aware Interactive Image Segmentation. AAAI 2021
Rui Liu, Chao Peng, Yunbo Zhang, Hannah Husarek, Qi Yu: A survey of immersive technologies and applications for industrial product development. Computers & Graphics 2021.
Ervine Zheng, Qi Yu, Rui Li, Pengcheng Shi, Anne R. Haake: Dynamic Fusion of Eye Movement Data and Verbal Narrations in Knowledge-rich Domains. NeurIPS 2020
Weishi Shi, Xujiang Zhao, Feng Chen, Qi Yu: Multifaceted Uncertainty Estimation for Label-Efficient Deep Learning. NeurIPS 2020
Peng-Nien Yin, KC Kishan, Shishi Wei, Qi Yu, Rui Li, Anne R Haake, Hiroshi Miyamoto, Feng Cui: Histopathological distinction of non-invasive and invasive bladder cancers using machine learning approaches, BMC medical informatics and decision making 2020.
Wentao Bao, Qi Yu, Yu Kong: Uncertainty-based traffic accident anticipation with spatio-temporal relational learning, Proceedings of the 28th ACM International Conference on Multimedia (ACM MM) 2020.
Wentao Bao, Qi Yu, Yu Kong: Object-Aware Centroid Voting for Monocular 3D Object Detection, 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2020.
Yasmine El-Glaly, Weishi Shi, Samuel Malachowsky, Qi Yu, Daniel E Krutz: Presenting and evaluating the impact of experiential learning in computing accessibility education, 2020 IEEE/ACM 42nd International Conference on Software Engineering: Software Engineering Education and Training (ICSE-SEET), 2020.
Moayad Alshangiti, Weishi Shi, Xumin Liu, Qi Yu: A Bayesian learning model for design-phase service mashup popularity prediction, Expert Systems with Applications (ESWA), 2020.
Hongbing Wang, Jiajie Li, Qi Yu, Tianjing Hong, Jia Yan, Wei Zhao: Integrating recurrent neural networks and reinforcement learning for dynamic service composition, Future Generation Computer Systems 2020.
Hongbing Wang, Xingguo Hu, Qi Yu, Mingzhu Gu, Wei Zhao, Jia Yan, Tianjing Hong: Integrating reinforcement learning and skyline computing for adaptive service composition, Information Sciences 2020.
H. Wang, H. Fei, Q. Yu, W Zhao, J Yan, T Hong, A motifs-based Maximum Entropy Markov Model for realtime reliability prediction in System of Systems, Future Generation Computer Systems, 98, 609-626, 2019.
X. Liu, W. Shi, A. Kale, C. Ding, and Q. Yu, Statistical Learning of Domain-Specific Quality-of-Service Features from User Reviews, ACM Trans. Internet Techn. (TOIT), 17(2): 22:1-22:24, 2017.
H. Wang, L. Wang, Q. Yu, Z. Zheng, A. Bouguettaya, and M. Lyu Online Reliability Prediction via Motifs-based Dynamic Bayesian Networks for Service-Oriented Systems, IEEE Transactions on Software Engineering (TSE), 43(6): 556-579, 2017.
Bouguettaya, A., Singh, M., Huhns, M., Sheng, Q.Z., Dong, H., Yu, Q., Neiat, A.G., Mistry, S., Benatallah, B., Medjahed, B., Ouzzani, M., Casati, F., Liu, X., Wang, H., Georgakopoulos, D., Chen, L., Nepal, S., Malik, Z., Erradi, A., Wang, Y., Blake, B., Dustdar, S., Leymann, F., Papazoglou, M., A Service Computing Manifesto: The Next Ten Years, Communications of the ACM (CACM), 60(4): 64-72, 2017 (PDF).
H. Wang, P. Ma, Q. Yu, D. Yang, J. Li, and Huanhuan Fei Combining quantitative constraints with qualitative preferences for effective non-functional properties-aware service composition , J. Parallel Distrib. Comput., 100: 71-84 (2017).
A. Bouguettaya and Q. Yu, SLINK and UPGMA Clustering of High Dimensional Data. Encyclopedia of Data Warehousing and Mining-2nd Edition, 2008.
A. Bouguettaya, D. Gracanin, Q. Yu, X. Zhang, X. Liu, and Z. Malik, WebSenior: A Digital Government Infrastructure for Senior Citizens. International Workshop on the Management of Business Processes in Government, co-located with 5th International Conference on Business Process Management (BPM 2007), Brisbane, Australia, September 2007
K. C. Tan, Q. Yu, J. H. Ang, and T. H. Lee, A coevolutionary algorithm for rules discovery in data mining, International Journal of Systems Science, Taylor & Francis, vol. 37, no. 12, pp. 835-864, 2006.
A. Bouguettaya, D. Gracanin, Q. Yu, X. Zhang, X. Liu, and Z. Malik, Ubiquitous Web Services for E-Government Social Services, AAAI Spring Symposium The Semantic Web meets eGovernment, Stanford University, California, USA, March 27-29, 2006.
K. C. Tan, Q. Yu, and T. H. Lee, A distributed coevolutionary classifier for knowledge discovery in data mining, IEEE Transactions on Systems, Man and Cybernetics: Part C (Applications and Reviews), IEEE, vol. 35, no. 2, pp. 131-142, 2005.
Q. Yu, K. C. Tan, and T. H. Lee, An evolutionary algorithm for rules discovery in data mining, Evolutionary Computation in Data Mining, A. Ghosh and L. C. Jain (Eds.), Physica-Verlag, Germany, pp. 101-123, 2005.
A. Bouguettaya, B. Medjahed, A. Rezgui, M. Ouzzani, X. Liu, and Q. Yu, WebDG - A platform for E-Government Web services. ER (Workshops) 2004: 553-565, November 2004.
K. C. Tan, Q. Yu, C. M. Heng, and T. H. Lee, Evolutionary Computing for Knowledge Discovery in Medical Diagnosis. Artificial Intelligence in Medicine, vol. 27, no. 2, pp. 129-154, 2003.