Zheng, Ervine, et al. "Knowledge Acquisition for Human-In-The-Loop Image Captioning." Proceedings of the AISTATS. Ed. None. Valencia, Spain: n.p., 2023. Web.
Li, Jintang, et al. "Scaling Up Dynamic Graph Representation Learning via Spiking Neural Networks." Proceedings of the AAAI. Ed. None. Washington, DC, USA: n.p., 2023. Web.
Zheng, Ervine, Qi Yu, and Zhi Zheng. "Sparse Maximum Margin Learning from Multimodal Human Behavioral Patterns." Proceedings of the AAAI. Ed. None. Washington, DC, USA: n.p., 2023. Web.
Pandey, Deep Shankar and Qi Yu. "Evidential Conditional Neural Processes." Proceedings of the AAAI. Ed. None. Washington, DC, USA: n.p., 2023. Web.
Yu, Dayou, Weishi Shi, and Qi Yu. "STARS: Spatial-Temporal Active Re-sampling for Label-Efficient Learning from Noisy Annotations." Proceedings of the AAAI. Ed. None. Washington, DC, USA: n.p., 2023. Web.
Sapkota, Hitesh and Qi Yu. "Adaptive Robust Evidential Optimization For Open Set Detection from Imbalanced Data." Proceedings of the ICLR. Ed. None. Kigali, Rwanda: n.p., 2023. Web.
Wang, Dingrong, et al. "Deep Temporal Sets with Evidential Reinforced Attentions for Unique Behavioral Pattern Discovery." Proceedings of the ICML. Ed. None. Honolulu, Hawaii: n.p., 2023. Web.
Yu, Dayou, Weishi Shi, and Qi Yu. "Discover-Then-Rank Unlabeled Support Vectors in the Dual Space for Multi-Class Active Learning." Proceedings of the ICML. Ed. None. Honolulu, Hawaii: n.p., 2023. Web.
Pandey, Deep Shankar and Qi Yu. "Learn to Accumulate Evidence from All Training Samples: Theory and Practice." Proceedings of the ICML. Ed. None. Honolulu, Hawaii: n.p., 2023. Web.
Zheng, Ervine and Qi Yu. "Evidential Interactive Learning for Medical Image Captioning." Proceedings of the ICML. Ed. None. Honolulu, Hawaii: n.p., 2023. Web.
Sapkota, Hitesh, et al. "Distributionally Robust Ensemble of Lottery Tickets Towards Calibrated Sparse Network Training." Proceedings of the NeurIPS. Ed. None. New Orleans, LA: n.p., 2023. Web.
Yu, Dayou, Weishi Shi, and Qi Yu. "Actively Testing Your Model While It Learns: Realizing Label-Efficient Learning in Practice." Proceedings of the NeurIPS. Ed. None. New Orleans, LA: n.p., 2023. Web.
Neupane, Krishna Prasad, et al. "A Dynamic Meta-Learning Model for Time-Sensitive Cold-Start Recommendations." Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, AAAI 2022. Ed. Vasant Honavar and Matthijs Spaan. Virtual, None: n.p., 2022. Print.
Zheng, Ervine, et al. "Dual-Level Adaptive Information Filtering for Interactive Image Segmentation." Proceedings of the AISTATS. Ed. None. Virtual, None: n.p., 2022. Print.
Bao, Wentao, Yu Kong, and Qi Yu. "OpenTAL: Towards Open Set Temporal Action Localization." Proceedings of the CVPR. Ed. None. New Orleans, LA: n.p., 2022. Print.
Sapkota, Hitesh and Qi Yu. "Bayesian Nonparametric Submodular Video Partition for Robust Anomaly Detection." Proceedings of the CVPR. Ed. None. New Orleans, LA: n.p., 2022. Print.
Pandey, Deep Shankar and Qi Yu. "Multidimensional Belief Quantification for Label-Efficient Meta-Learning." Proceedings of the CVPR. Ed. None. New Orleans, LA: n.p., 2022. Print.
Zhu, Yuansheng, Wentao Bao, and Qi Yu. "Towards Open Set Video Anomaly Detection." Proceedings of the ECCV. Ed. None. Tel Aviv, Israel: n.p., 2022. Print.
Deshpande, Niranjana, et al. "Online Learning Using Incomplete Execution Data for Self-Adaptive Service-Oriented Systems." Proceedings of the ICWS. Ed. None. Barcelona, Spain: n.p., 2022. Print.
Zhu,, Zulun, et al. "Spiking Graph Convolutional Networks." Proceedings of the IJCAI. Ed. None. Vienna, Austria: n.p., 2022. Print.
Alshangiti, Moayad, et al. "Hierarchical Bayesian multi-kernel learning for integrated classification and summarization of app reviews." Proceedings of the ESEC/SIGSOFT FSE. Ed. None. Singapore, Singapore: n.p., 2022. Print.
Sapkota, Hitesh and Qi Yu. "Balancing Bias and Variance for Active Weakly Supervised Learning." Proceedings of the KDD. Ed. None. Washington, DC: n.p., 2022. Print.
Zheng, E, et al. "A Continual Learning Framework for Uncertainty-Aware Interactive Image Segmentation." Proceedings of the Proceedings of the AAAI Conference on Artificial Intelligence. Ed. None. Virtual, None: AAAI, 2021. Web.
Bao, Wentao, Qi Yu, and Yu Kong. "Evidential deep learning for open set action recognition." Proceedings of the Proceedings of the IEEE/CVF International Conference on Computer Vision. Ed. None. Virtual, None: IEEE, 2021. Web.
Bao, Wentao, Qi Yu, and Yu Kong. "DRIVE: Deep reinforced accident anticipation with visual explanation." Proceedings of the Proceedings of the IEEE/CVF International Conference on Computer Vision. Ed. None. None, Virtual: n.p., 2021. Web.
Deshpande, Niranjana, et al. "R-CASS: Using Algorithm Selection for Self-Adaptive Service Oriented Systems." Proceedings of the 2021 IEEE International Conference on Web Services (ICWS). Ed. None. Virtual, Virtual: IEEE, 2021. Web.
Zhu, Yuansheng, et al. "Uncertainty-Aware Multiple Instance Learning from Large-Scale Long Time Series Data." Proceedings of the IEEE BigDat. Ed. None. Virtual, Virtual: IEEE, 2021. Web.
Neupane, Krishna, Ervine Zheng, and Qi Yu. "MetaEDL: Meta Evidential Learning For Uncertainty-Aware Cold-Start Recommendations." Proceedings of the ICDM. Ed. None. Virtual, Virtual: IEEE, 2021. Web.
Wang, Dingrong, et al. "Deep Reinforced Attention Regression for Partial Sketch Based Image Retrieval." Proceedings of the ICDM. Ed. None. Virtual, Virtual: IEEE, 2021. Web.
Sapkota, Hitesh, et al. "Distributionally Robust Optimization for Deep Kernel Multiple Instance Learning." Proceedings of the AISTATS. Ed. None. Virtual, Virtual: n.p., 2021. Web.
Shi, Weishi and Qi Yu. "Active Learning with Maximum Margin Sparse Gaussian Processes." Proceedings of the AISTATS. Ed. None. Virtual, Virtual: n.p., 2021. Web.
Shi, Weishi, Dayou Yu, and Qi Yu. "A Gaussian Process-Bayesian Bernoulli Mixture Model for Multi-Label Active Learning." Proceedings of the Advances in Neural Information Processing Systems. Ed. None. Virtual, Virtual: n.p., 2021. Web.
Kang, Jai W., et al. "Analytics Prevalent Undergraduate IT Program." Proceedings of the SIGITE. Ed. Deepak Khazanchi. virtual, virtual: ACM, Web.
El-Glaly,, Yasmine N., et al. "Presenting and Evaluating the Impact of Experiential Learning in Computing Accessibility Education." Proceedings of the ICSE (SEET). Ed. Gregg Rothermel. virtual, virtual: IEEE, Web.
Shi, Weishi, et al. "Experiential Learning in Computing Accessibility Education." Proceedings of the ICSE (Companion Volume). Ed. Gregg Rothermel. virtual, virtual: IEEE, 2020. Web.
Bao, Wentao, Qi Yu, and Yu Kong. "Object-Aware Centroid Voting for Monocular 3D Object Detection." Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). Ed. Ayanna Howard. virtual, virtual: IEEE, 2020. Web.
Bao, Wentao, Qi Yu, and Yu Kong. "Uncertainty-based Traffic Accident Anticipation with SpatioTemporal Relational Learning." Proceedings of the ACM Multimedia. Ed. Guo-Jun Qi. virtual, virtual: ACM, 2020. Web.
Zheng, Ervine, et al. "Dynamic Fusion of Eye Movement Data and Verbal Narrations in Knowledge-rich Domains." Proceedings of the Advances in Neural Information Processing Systems 32 (NIPS 2020). Ed. Hugo Larochelle. virtual, virtual: n.p., Web.
Shi, Weishi, et al. "Multifaceted Uncertainty Estimation for Label-Efficient Deep Learning." Proceedings of the Advances in Neural Information Processing Systems 32 (NIPS 2020). Ed. Hugo Larochelle. virtual, virtual: n.p., Web.
Kang, Jai W., et al. "Complementing Course Contents Between IT/CS: A Case Study on Database Courses." Proceedings of the SIGITE Conference. Ed. Bryan S. Goda, et al. Tacoma, WA: ACM, Web.
Alshangiti, Moayad, et al. "Why is Developing Machine Learning Applications Challenging? A Study on Stack Overflow Posts." Proceedings of the ACM/IEEE International Symposium on Empirical Software Engineering and Measurement. Ed. N/A. Porto de Galinhas, Recife: IEEE, Web.
Shi, Weishi and Qi Yu. "Fast Direct Search in an Optimally Compressed Continuous Target Space for Efficient Multi-Label Active Learning." Proceedings of the Proceedings of the 36th International Conference on Machine Learning (ICML). Ed. Kamalika Chaudhuri and Ruslan Salakhutdinov. Long Beach, CA: PMLR, Web.
Shi, Weishi and Qi Yu. "Integrating Bayesian and Discriminative Sparse Kernel Machines for Multi-class Active Learning." Proceedings of the Advances in Neural Information Processing Systems 32 (NIPS 2019) pre-proceedings. Ed. N/A. Vancouver, Canada: n.p., Web.
Shi, Weishi and Qi Yu. "An Efficient Many-Class Active Learning Framework for Knowledge-Rich Domains." Proceedings of the IEEE International Conference on Data Mining. Ed. Dacheng Tao and Bhavani Thuraisingham. New York, NY: IEEE, Web.
Kang, Jai W., et al. "IT Curriculum: Coping with Technology Trends & Industry Demands." Proceedings of the Proceedings of the Proceedings of the 19th Annual Conference on Information Technology Education. Ed. Thomas Ayers and Daniel Bogaard. New York, NY: ACM, Print.
Obot, Nse, et al. "From Novice to Expert Narratives of Dermatological Disease." Proceedings of the PerCom Workshops. Ed. Daniele Riboni and Petteri Nurmi. New York, NY: IEEE, Print.
Guo, Xuan, et al. "Modeling Physicians\\\' Utterances to Explore Diagnostic Decision-making." Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence. Ed. Carles Sierra. Melbourne, Australia, NA: IJCAI, 2017. Print.
Shi, Weishi, Xumin Liu, and Qi Yu. "Correlation-Aware Multi-Label Active Learning for Web Service Tag Recommendation." Proceedings of the 2017 IEEE International Conference on Web Services. Ed. Ilkay Altintas and Shiping Chen. New York, NY: IEEE, 2017. Print.
Peng, Shunshun, Hongbing Wang, and Qi Yu. "Estimation of Distribution with Restricted Boltzmann Machine for Adaptive Service Composition." Proceedings of the 2017 IEEE International Conference on Web Services. Ed. Ilkay Altintas and Shiping Chen. New York, NY: IEEE, 2017. Print.
Wang, Hongbing, Zhengping Yang, and Qi Yu. "Online Reliability Prediction via Long Short Term Memory for Service-Oriented Systems." Proceedings of the 2017 IEEE International Conference on Web Services. Ed. Ilkay Altintas and Shiping Chen. New York, NY: IEEE, 2017. Print.
Wang, Hongbing, et al. "Large-Scale and Adaptive Service Composition Using Deep Reinforcement Learning." Proceedings of the Service-Oriented Computing - 15th International Conference. Ed. E. Michael Maximilien. New York, NY: Springer, 2017. Print.
Kang, Jai, Qi Yu, and Erik Golen. "Teaching IoT (Internet of Things) Analytics." Proceedings of the Proceedings of the 18th Annual Conference on Information Technology Education. Ed. Thomas Ayers and Daniel Bogaard. Rochester, NY: ACM, 2017. Print.
Wang, Hongbing, Xingzhi Zhang, and Qi Yu. "Integrating POMDP and SARSA(λ) for Service Composition with Incomplete Information." Proceedings of the ICSOC. Ed. Quan Z. Sheng et al. Banff, Canada: n.p., Print.
Liu, Xumin, et al. "An LDA-SVM Active Learning Framework for Web Service Classification." Proceedings of the ICWS. Ed. Stephan Reiff-Marganiec. San Francisco, CA: n.p., Web.
Wang, Hongbing, Guicheng Huang, and Qi Yu. "Automatic Hierarchical Reinforcement Learning for Efficient Large-Scale Service Composition." Proceedings of the ICWS. Ed. Stephan Reiff-Marganiec. San Francisco, CA: n.p., Web.
Wan, Yao, et al. "Incorporating Heterogeneous Information for Mashup Discovery with Consistent Regularization." Proceedings of the PAKDD. Ed. James Bailey et al. Auckland, New Zealand: n.p., Print.
Guo, Xuan, et al. "An Expert-in-the-loop Paradigm for Learning Medical Image Grouping." Proceedings of the PAKDD. Ed. James Bailey et al. Auckland, New Zealand: n.p., Web.
Bullard, Joseph, et al. "Towards Early Dementia Detection: Fusing Linguistic and Non-Linguistic Clinical Data." Proceedings of the CLPsych@HLT-NAACL. Ed. Kristy Hollingshead and Lyle H. Ungar. San Diego, CA: n.p., Web.
Kang, Jai W., et al. "Security Requirements Embedded in MS Programs in Information Sciences and Technologies." Proceedings of the SIGITE/RIIT. Ed. Deborah Boisvert and Stephen J. Zilora. Boston, MA: n.p., Web.
Jain, Aditi, Xumin, Liu, and Yu, Qi. "Aggregating Functionality, Use History, and Popularity of APIs to Recommend Mashup Creation." Proceedings of the Service-Oriented Computing - 13th International Conference, ICSOC 2015, Goa, India, November 16-19, 2015. Ed. Alistair Barros, et al. New York, NY: Springer, Print.
Wang, Hongbing, et al. "Integrating Gaussian Process with Reinforcement Learning for Adaptive Service Composition." Proceedings of the Service-Oriented Computing - 13th International Conference, ICSOC 2015, Goa, India, November 16-19, 2015. Ed. Alistair Barros, et al. New York, NY: Springer, Print.
Liu, Xumin, et al. "Extracting, Ranking, and Evaluating Quality Features of Web Services through User Review Sentiment Analysis." Proceedings of the 2015 IEEE International Conference on Web Services, ICWS 2015, New York, NY, USA, June 27 - July 2, 2015. Ed. John A. Miller and Hong Zhu. New York, NY: IEEE, Web.
Chen, Liang, et al. "WS-HFS: A Heterogeneous Feature Selection Framework for Web Services Mining." Proceedings of the 2015 IEEE International Conference on Web Services, ICWS 2015, New York, NY, USA, June 27 - July 2, 2015. Ed. John A. Miller and Hong Zhu. New York, NY: IEEE, Web.
Yu, Qi, Wang, Hongbing, and Chen, Liang. "Learning Sparse Functional Factors for Large-Scale Service Clustering." Proceedings of the 2015 IEEE International Conference on Web Services, ICWS 2015, New York, NY, USA, June 27 - July 2, 2015. Ed. John A. Miller and Hong Zhu:. New York, NY: IEEE, Web.
Wan, Yao, et al. "Time-Aware API Popularity Prediction via Heterogeneous Features." Proceedings of the 2015 IEEE International Conference on Web Services, ICWS 2015, New York, NY, USA, June 27 - July 2, 2015. Ed. John A. Miller and Hong Zhu. New York, NY: IEEE, Web.
Wang, Hongbing, Zhou, Shuxiang, and Yu, Qi. "Discovering Web Services to Improve Requirements Decomposition." Proceedings of the 2015 IEEE International Conference on Web Services, ICWS 2015, New York, NY, USA, June 27 - July 2, 2015. Ed. John A. Miller and Hong Zhu. New York, NY: IEEE, Web.
Kang, Jai, Holden, Edward P., and Yu, Qi. "Pillars of Analytics Applied in MS Degree in Information Sciences and Technologies." Proceedings of the Proceedings of the 16th Annual Conference on Information Technology Education, SIGITE 2015, Chicago, Illinois, USA, September 30 - October 3, 2015. Ed. Amber Settle, Terry Steinbach, and Deborah Boisvert. New York, NY: ACM, Web.
Bullard, Joseph, et al. "Inference from Structured and Unstructured Electronic Medical Data for Dementia Detection." Proceedings of the 14th INFORMS Computing Society Conference Richmond, Virginia, January 11{13, 2015. Ed. Brian Borchers, J. Paul Brooks, and Laura McLay. Baltimore, MD: INFORMS, Web.
Guo, Xuan, et al. "Infusing Perceptual Expertise and Domain Knowledge into a Human-centered Image Retrieval System: A Prototype Application." Proceedings of the ETRA 2014. Ed. Pernilla Qvarfordt and Dan Witzner Hansen. Safety Harbor, FL: ACM, Print.
Guo, Xuan, et al. "Fusing Multimodal Human Expert Data to Uncover Hidden Semantics." Proceedings of the GazeIn@ICMI 2014. Ed. Hung-Hsuan Huang, et al. Istanbul, Turkey: ACM, Print.
Bullard, Joseph, et al. "Towards Multimodal Modeling of Physicians' Diagnostic Confidence and Self-awareness Using Medical Narratives." Proceedings of the COLING 2014. Ed. Jan Hajic and Junichi Tsujii. Dublin, Ireland: ACL, 2014. Print.
Wang, Hongbing, et al. "Integrating On-policy Reinforcement Learning with Multi-agent Techniques for Adaptive Service Composition." Proceedings of the ICSOC 2014. Ed. Xavier Franch, et al. Paris, France: Springer, Print.
Wang, Hongbing, et al. "Adaptive and Dynamic Service Composition via Multi-agent Reinforcement Learning." Proceedings of the ICWS 2014. Ed. David De Roure, Bhavani Thuraisingham, and Jia Zhang. Anchorage, Alaska: IEEE, Print.
Wang, Hongbing, et al. "A Novel Online Reliability Prediction Approach for Service-Oriented Systems." Proceedings of the ICWS 2014. Ed. David De Roure, Bhavani Thuraisingham, and Jia Zhang. Anchorage, Alaska: IEEE, Print.
Hochberg, Limor, et al. "Towards Automatic Annotation of Clinical Decision-Making Style." Proceedings of the 8th Linguistic Annotation Workshop. Ed. Lori Levin and Manfred Stede. Dublin, Ireland: n.p., Print.
Kang, Jai W, Edward P Holden, and Qi Yu. "Design of an Analytic Centric MS Degree in Information Sciences and Technologies." Proceedings of the 15th Annual Conference on Information Technology Education. Ed. Rob Friedman and Ken Baker. Atlanta, Georgia: ACM, 2014. Print.
Wang, L., et al. "Online Reliability Time Series Prediction for Service-Oriented System of Systems." Proceedings of the 11th International Conference on Service Oriented Computing (ICSOC). Ed. S. Basu. Berlin, Germany: Springer, 2013. Print.
Chen, L., et al. "WT-LDA: User Tagging Augmented LDA for Web Service Clustering." Proceedings of the 11th International Conference on Service Oriented Computing (ICSOC). Ed. S. Basu. Berlin, Germany: n.p., 2013. Print.
Wang, H., X. Wang, and Q. Yu. "Optimal Self-Healing of Service-Oriented Systems with Incomplete Information." Proceedings of the IEEE Big Data Congress. Ed. P. Hofmann. Santa Clara, CA: n.p., 2013. Print.
Wang, H., H. Sun, and Q. Yu. "Reliable Service Composition via Automatic QoS Prediction." Proceedings of the 10th International Conference on Services Computing (SCC 2013). Ed. Michael Goul. Santa Clara, CA: n.p., 2013. Print.
Naik, S. and Q. Yu. "Evolutionary User Selection to Maximize the Influence of Viral Marketing." Proceedings of the IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM). Ed. Tansel Ozyer. Niagara Falls, Canada: n.p., 2013. Print.
Yu, Q., Z. Zheng, and H. Wang. "Trace Norm Regularized Matrix Factorization for Service Recommendation." Proceedings of the IEEE International Conference on Web Services (ICWS). Ed. Michael Lyu. Santa Clara, CA: n.p., 2013. Print.
Yu, Q. "Decision Tree Learning from Incomplete QoS to Bootstrap Service Recommendation." Proceedings of the IEEE International Conference on Web Services (ICWS). Ed. Carole A. Goble, Peter P. Chen, and Jia Zhang. Honolulu, HI: IEEE, 2012. Print.
Yu, Q. "Sparse Functional Representation for Large-scale Service Clustering." Proceedings of the 10th International Conference on Service Oriented Computing (ICSOC 2012). Ed. C. Liu, et al. Shanghai, China: Springer, Print.
Yu, Qi. "Place Semantics into Context: Service Community Discovery from the WSDL Corpus." Proceedings of the Service-Oriented Computing - 9th International Conference, ICSOC 2011. Ed. Gerti Kappel, Zakaria Maamar, and Hamid R. Motahari-Nezhad. Germany: Springer, Print.
Knight, Andrew, Qi Yu, and Manjeet Rege. "Efficient Range Query Processing on Uncertain Data." Proceedings of the IEEE International Conference on Information Reuse and Integration, IRI 2011. Ed. Reda Alhajj, James B. D. Joshi, and Mei-Ling Shyu. Las Vegas, NV: IEEE, 2011. Web.
