Yu, Qi

45 publications

ICLR 2025 Can We Ignore Labels in Out of Distribution Detection? Hong Yang, Qi Yu, Travis Desell

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

AAAI 2025 Hierarchical Multi-Source Uncertainty Aggregation for Interactive Video Captioning Ervine Zheng, Qi Yu

ICML 2025 Learning State-Based Node Representations from a Class Hierarchy for Fine-Grained Open-Set Detection Spandan Pyakurel, Qi Yu

ICLR 2025 Looking into User’s Long-Term Interests Through the Lens of Conservative Evidential Learning Dingrong Wang, Krishna Prasad Neupane, Ervine Zheng, Qi Yu

NeurIPS 2024 Adaptive Important Region Selection with Reinforced Hierarchical Search for Dense Object Detection Dingrong Wang, Hitesh Sapkota, Qi Yu

ICML 2024 Balancing Feature Similarity and Label Variability for Optimal Size-Aware One-Shot Subset Selection Abhinab Acharya, Dayou Yu, Qi Yu, Xumin Liu

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

AAAI 2024 Dual-Level Curriculum Meta-Learning for Noisy Few-Shot Learning Tasks Xiaofan Que, Qi Yu

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

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

ICML 2024 Hierarchical Novelty Detection via Fine-Grained Evidence Allocation Spandan Pyakurel, Qi Yu

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

ECCV 2024 Optimal Transport of Diverse Unsupervised Tasks for Robust Learning from Noisy Few-Shot Data Xiaofan Que, Qi Yu

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

ICLR 2023 Adaptive Robust Evidential Optimization for Open Set Detection from Imbalanced Data Hitesh Sapkota, Qi Yu

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, Qi Yu

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

NeurIPS 2023 Distributionally Robust Ensemble of Lottery Tickets Towards Calibrated Sparse Network Training Hitesh Sapkota, Dingrong Wang, Zhiqiang Tao, Qi Yu

AAAI 2023 Evidential Conditional Neural Processes Deep Shankar Pandey, Qi Yu

ICML 2023 Evidential Interactive Learning for Medical Image Captioning Ervine Zheng, Qi Yu

AISTATS 2023 Knowledge Acquisition for Human-in-the-Loop Image Captioning Ervine Zheng, Qi Yu, Rui Li, Pengcheng Shi, Anne Haake

ICML 2023 Learn to Accumulate Evidence from All Training Samples: Theory and Practice Deep Shankar Pandey, Qi Yu

AAAI 2023 STARS: Spatial-Temporal Active Re-Sampling for Label-Efficient Learning from Noisy Annotations Dayou Yu, Weishi Shi, Qi Yu

AAAI 2023 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

AAAI 2023 Sparse Maximum Margin Learning from Multimodal Human Behavioral Patterns Ervine Zheng, Qi Yu, Zhi Zheng

AISTATS 2022 Dual-Level Adaptive Information Filtering for Interactive Image Segmentation Ervine Zheng, Qi Yu, Rui Li, Pengcheng Shi, Anne Haake

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

CVPR 2022 Bayesian Nonparametric Submodular Video Partition for Robust Anomaly Detection Hitesh Sapkota, Qi Yu

CVPR 2022 Multidimensional Belief Quantification for Label-Efficient Meta-Learning Deep Shankar Pandey, Qi Yu

CVPR 2022 OpenTAL: Towards Open Set Temporal Action Localization Wentao Bao, Qi Yu, Yu Kong

IJCAI 2022 Spiking Graph Convolutional Networks Zulun Zhu, Jiaying Peng, Jintang Li, Liang Chen, Qi Yu, Siqiang Luo

ECCV 2022 Towards Open Set Video Anomaly Detection Yuansheng Zhu, Wentao Bao, Qi Yu

AISTATS 2021 Active Learning with Maximum Margin Sparse Gaussian Processes Weishi Shi, Qi Yu

AISTATS 2021 Distributionally Robust Optimization for Deep Kernel Multiple Instance Learning Hitesh Sapkota, Yiming Ying, Feng Chen, Qi Yu

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

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

ICCV 2021 DRIVE: Deep Reinforced Accident Anticipation with Visual Explanation Wentao Bao, Qi Yu, Yu Kong

ICCV 2021 Evidential Deep Learning for Open Set Action Recognition Wentao Bao, Qi Yu, Yu Kong

NeurIPS 2020 Dynamic Fusion of Eye Movement Data and Verbal Narrations in Knowledge-Rich Domains Ervine Zheng, Qi Yu, Rui Li, Pengcheng Shi, Anne Haake

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

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

NeurIPS 2019 Integrating Bayesian and Discriminative Sparse Kernel Machines for Multi-Class Active Learning Weishi Shi, Qi Yu

IJCAI 2017 Modeling Physicians' Utterances to Explore Diagnostic Decision-Making Xuan Guo, Rui Li, Qi Yu, Anne R. Haake

NeurIPS 2014 Fast Multivariate Spatio-Temporal Analysis via Low Rank Tensor Learning Mohammad Taha Bahadori, Qi Yu, Yan Liu