| 2026 | EACL | Harnessing Consistency for Robust Test-Time LLM Ensemble. | Zhichen Zeng, Qi Yu, Xiao Lin, Ruizhong Qiu, Xuying Ning, Tianxin Wei, Yuchen Yan, Jingrui He, Hanghang Tong |
| 2026 | ISCAS | A power-and-area efficient AFE with continuous time-gain compensation of 48 dB gain range and ±0.6 dB gain error for Miniature Ultrasound Probes. | Li Dai, Zhenghan Xing, Jinlai Fu, Yihu Yu, Zhong Zhang, Kejun Wu, Ning Ning, Jing Li, Qi Yu |
| 2026 | ISCAS | A 55-dB Range, 0.87-dB Step Decibel-linear Mixed Structure Programmable Gain Amplifier Based on R-2R Resistor Array for Sensor System. | Xin Hu, Kejun Wu, Fan Yu, Chenhe Zhang, Xiaohu You, Ning Ning, Jing Li, Zhong Zhang, Qi Yu |
| 2026 | ISCAS | A 16-bit SAR ADC With kT/C Noise Cancellation Using Nested Auto-Zero. | Yuzhou Liu, Kejun Wu, Zhong Zhang, Ruixin Li, Zhengye Jin, Shengxin Wang, Xiaoqian He, Zhen Yu, Ning Ning, Jing Li, Qi Yu |
| 2026 | ISCAS | A 14-bit 4GS/s DAC Achieving 68dBc SFDR Up to 1.7GHz with Digital Pre-Distortion and Switching-Glitch Compensation in 28nm CMOS Process. | Junfeng Wang, Kejun Wu, Jun Liu, Shiteng Li, Qianfeng Zhang, Geyou Hu, Xin Duan, Zhen Yu, Ning Ning, Jing Li, Zhong Zhang, Qi Yu |
| 2026 | ISCAS | A 0.036mm | Zhen Yu, Ning Ning, Junfeng Wang, Qilin Liang, Kejun Wu, Zhong Zhang, Jing Li, Qi Yu |
| 2026 | ISCAS | An Energy and Area-Efficient Ternary SAR ADC with Tri-State Comparison. | Tianci Zhang, Shengrui Chen, Zhangyuan Xie, Dongxu Li, Yihu Yu, Zhong Zhang, Kejun Wu, Ning Ning, Qi Yu, Jing Li |
| 2025 | AAAI | GLEN: Generalized Focal Loss Ensemble of Low-Rank Networks for Calibrated Visual Question Answering. | Mahsa Mozaffari, Hitesh Sapkota, Qi Yu |
| 2025 | AAAI | Hierarchical Multi-Source Uncertainty Aggregation for Interactive Video Captioning. | Ervine Zheng, Qi Yu |
| 2025 | CSCWD | A Variable Adaptive Embedding Transformer for Multivariate Time Series Forecasting. | Yang Yang, Weilong Ding, Qi Yu, Yuwei Gu |
| 2025 | ICLR | Looking into User's Long-term Interests through the Lens of Conservative Evidential Learning. | Dingrong Wang, Krishna Prasad Neupane, Ervine Zheng, Qi Yu |
| 2025 | ICLR | Can We Ignore Labels in Out of Distribution Detection? | Hong Yang, Qi Yu, Travis Desell |
| 2025 | ICML | Learning State-Based Node Representations from a Class Hierarchy for Fine-Grained Open-Set Detection. | Spandan Pyakurel, Qi Yu |
| 2025 | ISCAS | A Calibration Free 8-to-12 b, 1-to-20 MSPS Reconfigurable SAR ADC with Optimized Window-Switching Scheme. | Zhong Zhang, Fan Xiong, Ganping Li, Qihui Zhang, Jing Li, Kejun Wu, Qi Yu, Ning Ning |
| 2025 | PDCAT | Real-Time Detection of Injection Attacks in Industrial Multi-agent Systems. | Qi Yu, Kai Di, Chengge Duan, Xinwei Xue, Pan Li |
| 2025 | PRICAI | LN_Net: Lightweight Non-interventionist Network for Weakly-Supervised Video Anomaly Detection. | Lei Shu, Tao Zhu, Jinlong Jiang, Qi Yu, Shiyu Li, Yu Peng |
| 2025 | SMC | ProDisc-VAD: An Efficient System for Weakly-Supervised Anomaly Detection in Video Surveillance Applications. | Tao Zhu, Qi Yu, Xinru Dong, Shiyu Li, Yue Liu, Jinlong Jiang, Lei Shu |
| 2025 | WWW | Joint Optimal Transport and Embedding for Network Alignment. | Qi Yu, Zhichen Zeng, Yuchen Yan, Lei Ying, R. Srikant, Hanghang Tong |
| 2024 | AAAI | Dual-Level Curriculum Meta-Learning for Noisy Few-Shot Learning Tasks. | Xiaofan Que, Qi Yu |
| 2024 | CIKM | Rethinking Attention Mechanism for Spatio-Temporal Modeling: A Decoupling Perspective in Traffic Flow Prediction. | Qi Yu, Weilong Ding, Hao Zhang, Yang Yang, Tianpu Zhang |
| 2024 | COLING | GRIT: A Dataset of Group Reference Recognition in Italian. | Sergio E. Zanotto, Qi Yu, Miriam Butt, Diego Frassinelli |
| 2024 | ECCV | Optimal Transport of Diverse Unsupervised Tasks for Robust Learning from Noisy Few-Shot Data. | Xiaofan Que, Qi Yu |
| 2024 | ICML | Balancing Feature Similarity and Label Variability for Optimal Size-Aware One-shot Subset Selection. | Abhinab Acharya, Dayou Yu, Qi Yu, Xumin Liu |
| 2024 | ICML | Hierarchical Novelty Detection via Fine-Grained Evidence Allocation. | Spandan Pyakurel, Qi Yu |
| 2024 | ICML | Meta Evidential Transformer for Few-Shot Open-Set Recognition. | Hitesh Sapkota, Krishna Prasad Neupane, Qi Yu |
| 2024 | ISCAS | An Adaptive Common-Mode Cancellation Biopotential Amplifier for Two-Electrode Dynamic ECG Recording. | Zhong Zhang, Zhangyuan Xie, Qi Yu, Kejun Wu, Jing Li, Ning Ning |
| 2024 | ISCAS | A 0.96pJ/SOP, 30.23K-neuron/mm | Pujun Zhou, Qi Yu, M. Chen, Y. C. Wang, Liwei Meng, Yue Zuo, Ning Ning, Y. Liu, Shaogang Hu, Guanchao Qiao |
| 2024 | KDD | Reinforced Compressive Neural Architecture Search for Versatile Adversarial Robustness. | Dingrong Wang, Hitesh Sapkota, Zhiqiang Tao, Qi Yu |
| 2024 | PDCAT | Optimizing Task Allocation in Heterogeneous Agent Manufacturing Systems. | Qi Yu, Kai Di, Yichuan Jiang, Dan Chen |
| 2024 | PST | DEFD: Dual-Entity Fuzzy Deduplication for Untrusted Environments. | Zehui Tang, Shengke Zeng, Song Han, Qi Yu, Shihai Jiang, Peng Chen |
| 2023 | AAAI | Scaling Up Dynamic Graph Representation Learning via Spiking Neural Networks. | Jintang Li, Zhouxin Yu, Zulun Zhu, Liang Chen, Qi Yu, Zibin Zheng, Sheng Tian, Ruofan Wu, Changhua Meng |
| 2023 | AAAI | Evidential Conditional Neural Processes. | Deep Shankar Pandey, Qi Yu |
| 2023 | AAAI | STARS: Spatial-Temporal Active Re-sampling for Label-Efficient Learning from Noisy Annotations. | Dayou Yu, Weishi Shi, Qi Yu |
| 2023 | AAAI | Sparse Maximum Margin Learning from Multimodal Human Behavioral Patterns. | Ervine Zheng, Qi Yu, Zhi Zheng |
| 2023 | ACL | Figurative Language Processing: A Linguistically Informed Feature Analysis of the Behavior of Language Models and Humans. | Hyewon Jang, Qi Yu, Diego Frassinelli |
| 2023 | AISTATS | Knowledge Acquisition for Human-In-The-Loop Image Captioning. | Ervine Zheng, Qi Yu, Rui Li, Pengcheng Shi, Anne R. Haake |
| 2023 | ICLR | Adaptive Robust Evidential Optimization For Open Set Detection from Imbalanced Data. | Hitesh Sapkota, Qi Yu |
| 2023 | ICML | Learn to Accumulate Evidence from All Training Samples: Theory and Practice. | Deep Shankar Pandey, Qi Yu |
| 2023 | ICML | 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, Qi Yu |
| 2023 | ICML | Discover-Then-Rank Unlabeled Support Vectors in the Dual Space for Multi-Class Active Learning. | Dayou Yu, Weishi Shi, Qi Yu |
| 2023 | ICML | Evidential Interactive Learning for Medical Image Captioning. | Ervine Zheng, Qi Yu |
| 2023 | VTC | Latency Minimization for Split Federated Learning. | Jie Guo, Ce Xu, Yushi Ling, Yuan Liu, Qi Yu |
| 2022 | AAAI | A Dynamic Meta-Learning Model for Time-Sensitive Cold-Start Recommendations. | Krishna Prasad Neupane, Ervine Zheng, Yu Kong, Qi Yu |
| 2022 | AISTATS | Dual-Level Adaptive Information Filtering for Interactive Image Segmentation. | Ervine Zheng, Qi Yu, Rui Li, Pengcheng Shi, Anne R. Haake |
| 2022 | CVPR | OpenTAL: Towards Open Set Temporal Action Localization. | Wentao Bao, Qi Yu, Yu Kong |
| 2022 | CVPR | Multidimensional Belief Quantification for Label-Efficient Meta-Learning. | Deep Shankar Pandey, Qi Yu |
| 2022 | CVPR | Bayesian Nonparametric Submodular Video Partition for Robust Anomaly Detection. | Hitesh Sapkota, Qi Yu |
| 2022 | ECCV | Towards Open Set Video Anomaly Detection. | Yuansheng Zhu, Wentao Bao, Qi Yu |
| 2022 | ICA3PP | Haica: A High Performance Computing & Artificial Intelligence Fused Computing Architecture. | Zhengbo Chen, Fang Zheng, Feng Guo, Qi Yu, Zuoning Chen |
| 2022 | ICPP | DSSA: Dual-Side Sparse Systolic Array Architecture for Accelerating Convolutional Neural Network Training. | Zhengbo Chen, Qi Yu, Fang Zheng, Feng Guo, Zuoning Chen |
| 2022 | IJCAI | Spiking Graph Convolutional Networks. | Zulun Zhu, Jiaying Peng, Jintang Li, Liang Chen, Qi Yu, Siqiang Luo |
| 2022 | ICWS | Online Learning Using Incomplete Execution Data for Self-Adaptive Service-Oriented Systems. | Niranjana Deshpande, Naveen Sharma, Qi Yu, Daniel E. Krutz |
| 2022 | KDD | Balancing Bias and Variance for Active Weakly Supervised Learning. | Hitesh Sapkota, Qi Yu |
| 2022 | NAACL | "Again, Dozens of Refugees Drowned": A Computational Study of Political Framing Evoked by Presuppositions. | Qi Yu |
| 2022 | SMC | A Modified Deep Q-Learning Algorithm for Optimal and Robust Quantum Gate Design of a Single Qubit System | Omar Shindi, Qi Yu, Parth Girdhar, Daoyi Dong |
| 2021 | AAAI | A Continual Learning Framework for Uncertainty-Aware Interactive Image Segmentation. | Ervine Zheng, Qi Yu, Rui Li, Pengcheng Shi, Anne R. Haake |
| 2021 | AISTATS | Distributionally Robust Optimization for Deep Kernel Multiple Instance Learning. | Hitesh Sapkota, Yiming Ying, Feng Chen, Qi Yu |
| 2021 | AISTATS | Active Learning with Maximum Margin Sparse Gaussian Processes. | Weishi Shi, Qi Yu |
| 2021 | ICCV | DRIVE: Deep Reinforced Accident Anticipation with Visual Explanation. | Wentao Bao, Qi Yu, Yu Kong |
| 2021 | ICCV | Evidential Deep Learning for Open Set Action Recognition. | Wentao Bao, Qi Yu, Yu Kong |
| 2021 | ICDM | MetaEDL: Meta Evidential Learning For Uncertainty-Aware Cold-Start Recommendations. | Krishna Prasad Neupane, Ervine Zheng, Qi Yu |
| 2021 | ICDM | Deep Reinforced Attention Regression for Partial Sketch Based Image Retrieval. | Dingrong Wang, Hitesh Sapkota, Xumin Liu, Qi Yu |
| 2021 | ICWS | R-CASS: Using Algorithm Selection for Self-Adaptive Service Oriented Systems. | Niranjana Deshpande, Naveen Sharma, Qi Yu, Daniel E. Krutz |
| 2021 | SMC | A Modified Deep Q-Learning Algorithm for Control of Two-qubit Systems. | Omar Shindi, Qi Yu, Daoyi Dong |
| 2020 | ICMLC | A Modified Q-Learning Algorithm for Control of Two-Qubit Systems. | Omar Shindi, Qi Yu, Daoyi Dong, Jiangjun Tang |
| 2020 | IROS | Object-Aware Centroid Voting for Monocular 3D Object Detection. | Wentao Bao, Qi Yu, Yu Kong |
| 2020 | ICSE | Presenting and evaluating the impact of experiential learning in computing accessibility education. | Yasmine N. El-Glaly, Weishi Shi, Samuel A. Malachowsky, Qi Yu, Daniel E. Krutz |
| 2020 | ICSE | Experiential learning in computing accessibility education. | Weishi Shi, Saad Khan, Yasmine N. El-Glaly, Samuel A. Malachowsky, Qi Yu, Daniel E. Krutz |
| 2020 | ISCAS | A 10-Bit Fully-Predictive ADC with Code-Recombination Algorithm in Transducing Sensor Node Signals. | Zhong Zhang, Jing Li, Qihui Zhang, Ning Ning, Qi Yu |
| 2020 | NPC | Dynamic GMMU Bypass for Address Translation in Multi-GPU Systems. | Jinhui Wei, Jianzhuang Lu, Qi Yu, Chen Li, Yunping Zhao |
| 2020 | SMC | Adaptive Quantum Process Tomography via Linear Regression Estimation. | Qi Yu, Daoyi Dong, Yuanlong Wang, Ian R. Petersen |
| 2020 | SIGITE | Analytics Prevalent Undergraduate IT Program. | Jai W. Kang, Qi Yu, Edward P. Holden, Erik Golen, Michael McQuaid |
| 2019 | ESEM | Why is Developing Machine Learning Applications Challenging? A Study on Stack Overflow Posts. | Moayad Alshangiti, Hitesh Sapkota, Pradeep K. Murukannaiah, Xumin Liu, Qi Yu |
| 2019 | ICASSP | Bilinear Dictionary Update via Linear Least Squares. | Qi Yu, Wei Dai, Zoran Cvetkovic, Jubo Zhu |
| 2019 | ICML | Fast Direct Search in an Optimally Compressed Continuous Target Space for Efficient Multi-Label Active Learning. | Weishi Shi, Qi Yu |
| 2019 | ISCAS | A Low Voltage 10-Bit Non-Binary 2B/Cycle Time and Voltage Based SAR ADC. | Jian Luo, Jing Li, Ning Ning, Kejun Wu, Zhen Liu, Yang Liu, Qi Yu |
| 2019 | ISCAS | A Low-Power and Area-Efficient 14-bit SAR ADC with Hybrid CDAC for Array Sensors. | Qihui Zhang, Jing Li, Zhong Zhang, Kejun Wu, Ning Ning, Qi Yu |
| 2019 | ISPASS | Hierarchical Page Eviction Policy for Unified Memory in GPUs. | Qi Yu, Bruce R. Childers, Libo Huang, Cheng Qian, Zhiying Wang |
| 2019 | QRS | A Transfer Learning Based Interpretable User Experience Model on Small Samples. | Qi Yu, Xiaoping Che, Yuxiang Yang, Liqiang Wang |
| 2019 | SMC | Generation of accessible sets for a class of quantum spin networks. | Qi Yu, Yuanlong Wang, Daoyi Dong, Guo-Yong Xiang |
| 2019 | UIC | An Event-Based User Experience Evaluation Method for Virtual Reality Applications. | Xiaoping Che, Siqi Ma, Qi Yu, Chenfeng Yue |
| 2019 | SIGITE | Complementing Course Contents Between IT/CS: A Case Study on Database Courses. | Jai W. Kang, Qi Yu, Edward P. Holden, Xumin Liu |
| 2018 | FIE | Peer-Formulated Assignment Method for Experimental Projects in CS courses. | Xin Zhang, Libo Huang, Zhiying Wang, Qi Yu |
| 2018 | ICASSP | Cortico-Muscular Coherence Enhancement Via Sparse Signal Representation. | Yuhang Xu, Qi Yu, Wei Dai, Zoran Cvetkovic, Verity M. McClelland |
| 2018 | ICDM | An Efficient Many-Class Active Learning Framework for Knowledge-Rich Domains. | Weishi Shi, Qi Yu |
| 2018 | ISPA | Improving Branch Prediction Accuracy on Multi-Core Architectures for Big Data. | Qi Yu, Libo Huang, Hui Guo, Cheng Qian, Sheng Ma, Zhiying Wang |
| 2018 | ISPASS | HMCSP: Reducing Transaction Latency of CSR-based SPMV in Hybrid Memory Cube. | Cheng Qian, Bruce R. Childers, Libo Huang, Qi Yu, Zhiying Wang |
| 2018 | ISPASS | Evaluating Memory Performance of Emerging Scale-Out Applications Using C-AMAT. | Qi Yu, Libo Huang, Cheng Qian, Jianqiao Ma, Zhiying Wang |
| 2018 | PERCOM | From Novice to Expert Narratives of Dermatological Disease. | Nse Obot, Laura OrMalley, Ifeoma Nwogu, Qi Yu, Weishi Shi, Xuan Guo |
| 2018 | SMC | Quantum Filtering for a Qubit System Subject to Classical Disturbances. | Qi Yu, Daoyi Dong, Ian R. Petersen |
| 2018 | SIGITE | IT Curriculum: Coping with Technology Trends & Industry Demands. | Jai W. Kang, Qi Yu, Erik Golen, Edward P. Holden |
| 2017 | HealthCom | A preliminary study on imbalanced syndrome differentiation of cold and heat. | Qinan Hu, Tong Yu, Ling Zhu, Jinghua Li, Qi Yu, Yueguo Gu |
| 2017 | HealthCom | Research on the construction of knowledge service platform for TCM health preservation. | Tong Yu, Jinghua Li, Qi Yu, Ye Tian, Zongyou Li, Yinghui Wang, Xiaofeng Sun, Lili Xu, Ling Zhu |
| 2017 | ICONIP | Deep Retinal Image Segmentation: A FCN-Based Architecture with Short and Long Skip Connections for Retinal Image Segmentation. | Zhongwei Feng, Jie Yang, Lixiu Yao, Yu Qiao, Qi Yu, Xun Xu |
| 2017 | IJCAI | Modeling Physicians' Utterances to Explore Diagnostic Decision-making. | Xuan Guo, Rui Li, Qi Yu, Anne R. Haake |
| 2017 | ICSOC | Large-Scale and Adaptive Service Composition Using Deep Reinforcement Learning. | Hongbing Wang, Mingzhu Gu, Qi Yu, Huanhuan Fei, Jiajie Li, Yong Tao |
| 2017 | ICWS | Estimation of Distribution with Restricted Boltzmann Machine for Adaptive Service Composition. | Shunshun Peng, Hongbing Wang, Qi Yu |
| 2017 | ICWS | Correlation-Aware Multi-Label Active Learning for Web Service Tag Recommendation. | Weishi Shi, Xumin Liu, Qi Yu |
| 2017 | ICWS | Online Reliability Prediction via Long Short Term Memory for Service-Oriented Systems. | Hongbing Wang, Zhengping Yang, Qi Yu |
| 2017 | SIGITE | Teaching IoT (Internet of Things) Analytics. | Jai W. Kang, Qi Yu, Erik Golen |
| 2017 | VECoS | Factor-Based C-AMAT Analysis for Memory Optimization. | Qi Yu, Libo Huang, Cheng Qian, Jianqiao Ma, Zhiying Wang |
| 2016 | ICIP | Automatic hemorrhage detection in color fundus images based on gradual removal of vascular branches. | Lei Zhou, Penglin Li, Qi Yu, Yu Qiao, Jie Yang |
| 2016 | ICPADS | PIE: A Pipeline Energy-Efficient Accelerator for Inference Process in Deep Neural Networks. | Yangyang Zhao, Qi Yu, Xuda Zhou, Xuehai Zhou, Xi Li, Chao Wang |
| 2016 | IGARSS | Feature enhancement for multichannel SAR image: A non-local vectorial total variation approach. | Xintong Tan, Qi Yu, Jubo Zhu |
| 2016 | ICSOC | Integrating POMDP and SARSA( \lambda λ ) for Service Composition with Incomplete Information. | Hongbing Wang, Xingzhi Zhang, Qi Yu |
| 2016 | ICWS | An LDA-SVM Active Learning Framework for Web Service Classification. | Xumin Liu, Shaleen Agarwal, Chen Ding, Qi Yu |
| 2016 | ICWS | Automatic Hierarchical Reinforcement Learning for Efficient Large-Scale Service Composition. | Hongbing Wang, Guicheng Huang, Qi Yu |
| 2016 | ICWS | SOLAR: Services-Oriented Learning Architectures. | Chao Wang, Xi Li, Qi Yu, Aili Wang, Patrick Hung, Xuehai Zhou |
| 2016 | NAACL | Towards Early Dementia Detection: Fusing Linguistic and Non-Linguistic Clinical Data. | Joseph Bullard, Cecilia Ovesdotter Alm, Xumin Liu, Qi Yu, Rubn A. Proao |
| 2016 | PAKDD | An Expert-in-the-loop Paradigm for Learning Medical Image Grouping. | Xuan Guo, Qi Yu, Rui Li, Cecilia Ovesdotter Alm, Cara Calvelli, Pengcheng Shi, Anne R. Haake |
| 2016 | PAKDD | Incorporating Heterogeneous Information for Mashup Discovery with Consistent Regularization. | Yao Wan, Liang Chen, Qi Yu, Tingting Liang, Jian Wu |
| 2016 | SIGITE | Security Requirements Embedded in MS Programs in Information Sciences and Technologies. | Jai W. Kang, Qi Yu, Edward P. Holden, Tae H. Oh |
| 2015 | CCGRID | A Deep Learning Prediction Process Accelerator Based FPGA. | Qi Yu, Chao Wang, Xiang Ma, Xi Li, Xuehai Zhou |
| 2015 | CLUSTER | An FPGA-Based Accelerator for Neighborhood-Based Collaborative Filtering Recommendation Algorithms. | Xiang Ma, Chao Wang, Qi Yu, Xi Li, Xuehai Zhou |
| 2015 | ICSOC | Aggregating Functionality, Use History, and Popularity of APIs to Recommend Mashup Creation. | Aditi Jain, Xumin Liu, Qi Yu |
| 2015 | ICSOC | Integrating Gaussian Process with Reinforcement Learning for Adaptive Service Composition. | Hongbing Wang, Qin Wu, Xin Chen, Qi Yu |
| 2015 | ICWS | WS-HFS: A Heterogeneous Feature Selection Framework for Web Services Mining. | Liang Chen, Qi Yu, Philip S. Yu, Jian Wu |
| 2015 | ICWS | Extracting, Ranking, and Evaluating Quality Features of Web Services through User Review Sentiment Analysis. | Xumin Liu, Arpeet Kale, Javed Wasani, Chen Ding, Qi Yu |
| 2015 | ICWS | Time-Aware API Popularity Prediction via Heterogeneous Features. | Yao Wan, Liang Chen, Jian Wu, Qi Yu |
| 2015 | ICWS | Discovering Web Services to Improve Requirements Decomposition. | Hongbing Wang, Suxiang Zhou, Qi Yu |
| 2015 | ICWS | Learning Sparse Functional Factors for Large-Scale Service Clustering. | Qi Yu, Hongbing Wang, Liang Chen |
| 2015 | SIGITE | Pillars of Analytics Applied in MS Degree in Information Sciences and Technologies. | Jai W. Kang, Edward P. Holden, Qi Yu |
| 2014 | AINA | Formal Verification of Fault-Tolerant and Recovery Mechanisms for Safe Node Sequence Protocol. | Rui Zhou, Rong Min, Qi Yu, Chanjuan Li, Yong Sheng, Qingguo Zhou, Xuan Wang, Kuan-Ching Li |
| 2014 | COLING | Towards multimodal modeling of physicians' diagnostic confidence and self-awareness using medical narratives. | Joseph Bullard, Cecilia Ovesdotter Alm, Qi Yu, Pengcheng Shi, Anne R. Haake |
| 2014 | ETRA | Infusing perceptual expertise and domain knowledge into a human-centered image retrieval system: a prototype application. | Xuan Guo, Rui Li, Cecilia Ovesdotter Alm, Qi Yu, Jeff B. Pelz, Pengcheng Shi, Anne R. Haake |
| 2014 | ICMI | Fusing Multimodal Human Expert Data to Uncover Hidden Semantics. | Xuan Guo, Qi Yu, Rui Li, Cecilia Ovesdotter Alm, Anne R. Haake |
| 2014 | ISCAS | A 10-bit 100MS/s subrange SAR ADC with time-domain quantization. | Ling Du, Shuangyi Wu, Min Jiang, Ning Ning, Qi Yu, Yang Liu |
| 2014 | ICSOC | Integrating On-policy Reinforcement Learning with Multi-agent Techniques for Adaptive Service Composition. | Hongbing Wang, Xin Chen, Qin Wu, Qi Yu, Zibin Zheng, Athman Bouguettaya |
| 2014 | ICWS | Adaptive and Dynamic Service Composition via Multi-agent Reinforcement Learning. | Hongbing Wang, Qin Wu, Xin Chen, Qi Yu, Zibin Zheng, Athman Bouguettaya |
| 2014 | ICWS | A Novel Online Reliability Prediction Approach for Service-Oriented Systems. | Hongbing Wang, Lei Wang, Qi Yu, Zibin Zheng |
| 2014 | SIGITE | Design of an analytic centric MS degree in information sciences and technologies. | Jai W. Kang, Edward P. Holden, Qi Yu |
| 2013 | BigData | Optimal Self-Healing of Service-Oriented Systems with Incomplete Information. | Hongbing Wang, Xiaojun Wang, Qi Yu |
| 2013 | ICSOC | WT-LDA: User Tagging Augmented LDA for Web Service Clustering. | Liang Chen, Yilun Wang, Qi Yu, Zibin Zheng, Jian Wu |
| 2013 | ICSOC | Online Reliability Time Series Prediction for Service-Oriented System of Systems. | Lei Wang, Hongbing Wang, Qi Yu, Haixia Sun, Athman Bouguettaya |
| 2013 | ICWS | Trace Norm Regularized Matrix Factorization for Service Recommendation. | Qi Yu, Zibin Zheng, Hongbing Wang |
| 2012 | ICSOC | Sparse Functional Representation for Large-Scale Service Clustering. | Qi Yu |
| 2012 | ICWS | Decision Tree Learning from Incomplete QoS to Bootstrap Service Recommendation. | Qi Yu |
| 2011 | IRI | Efficient range query processing on uncertain data. | Andrew Knight, Qi Yu, Manjeet Rege |
| 2011 | ICSOC | Place Semantics into Context: Service Community Discovery from the WSDL Corpus. | Qi Yu |
| 2010 | ICWS | Computing Service Skylines over Sets of Services. | Qi Yu, Athman Bouguettaya |
| 2010 | ICWS | On Service Community Learning: A Co-clustering Approach. | Qi Yu, Manjeet Rege |
| 2009 | ICWS | A Relational Approach for Ef?cient Service Selection. | Qi Yu, Manjeet Rege |
| 2008 | HIS | Optimal Pruned K-Nearest Neighbors: OP-KNN - Application to Financial Modeling. | Qi Yu, Antti Sorjamaa, Yoan Miche, Amaury Lendasse, Eric Sverin, Alberto Guilln, Fernando Mateo |
| 2008 | NOMS | SIP application composition framework based on business rules. | Li Na Ren, Jia Jia Wen, Qi Yu, Lee Longmore |
| 2008 | NOMS | Applying aspect oriented service control in IMS network. | Jia Jia Wen, Li Na Ren, Lee Longmore, Qi Yu |
| 2004 | ER | WebDG - A Platform for E-Government Web Services. | Athman Bouguettaya, Brahim Medjahed, Abdelmounaam Rezgui, Mourad Ouzzani, Xumin Liu, Qi Yu |