Qi Yu

Harnessing Consistency for Robust Test-Time LLM Ensemble EACL 2026 InsCal: Calibrated Multi-Source Fully Test-Time Prompt Tuning for Object Detection CVPR 2026 The Road Less Seen: Segment Exploration for Weakly Supervised Video Anomaly Detection CVPR 2026 Can We Ignore Labels in Out of Distribution Detection? ICLR 2025 GLEN: Generalized Focal Loss Ensemble of Low-Rank Networks for Calibrated Visual Question Answering AAAI 2025 Hierarchical Multi-Source Uncertainty Aggregation for Interactive Video Captioning AAAI 2025 Learning State-Based Node Representations from a Class Hierarchy for Fine-Grained Open-Set Detection ICML 2025 Looking into User’s Long-term Interests through the Lens of Conservative Evidential Learning ICLR 2025 Adaptive Important Region Selection with Reinforced Hierarchical Search for Dense Object Detection NeurIPS 2024 Ad Hoc Compounds for Stance Detection COLING 2024 Balancing Feature Similarity and Label Variability for Optimal Size-Aware One-shot Subset Selection ICML 2024 Be Confident in What You Know: Bayesian Parameter Efficient Fine-Tuning of Vision Foundation Models NeurIPS 2024 Dual-Level Curriculum Meta-Learning for Noisy Few-Shot Learning Tasks AAAI 2024 Evidential Mixture Machines: Deciphering Multi-Label Correlations for Active Learning Sensitivity NeurIPS 2024 Evidential Stochastic Differential Equations for Time-Aware Sequential Recommendation NeurIPS 2024 GRIT: A Dataset of Group Reference Recognition in Italian COLING 2024 Hierarchical Novelty Detection via Fine-Grained Evidence Allocation ICML 2024 Meta Evidential Transformer for Few-Shot Open-Set Recognition ICML 2024 Optimal Transport of Diverse Unsupervised Tasks for Robust Learning from Noisy Few-Shot Data ECCV 2024 Actively Testing Your Model While It Learns: Realizing Label-Efficient Learning in Practice NeurIPS 2023 Adaptive Robust Evidential Optimization For Open Set Detection from Imbalanced Data ICLR 2023 Deep Temporal Sets with Evidential Reinforced Attentions for Unique Behavioral Pattern Discovery ICML 2023 Discover-Then-Rank Unlabeled Support Vectors in the Dual Space for Multi-Class Active Learning ICML 2023 Distributionally Robust Ensemble of Lottery Tickets Towards Calibrated Sparse Network Training NeurIPS 2023 Evidential Conditional Neural Processes AAAI 2023 Evidential Interactive Learning for Medical Image Captioning ICML 2023 Figurative Language Processing: A Linguistically Informed Feature Analysis of the Behavior of Language Models and Humans ACL 2023 Knowledge Acquisition for Human-In-The-Loop Image Captioning AISTATS 2023 Learn to Accumulate Evidence from All Training Samples: Theory and Practice ICML 2023 Scaling Up Dynamic Graph Representation Learning via Spiking Neural Networks AAAI 2023 Sparse Maximum Margin Learning from Multimodal Human Behavioral Patterns AAAI 2023 STARS: Spatial-Temporal Active Re-sampling for Label-Efficient Learning from Noisy Annotations AAAI 2023 Towards a More In-Depth Detection of Political Framing EACL 2023 A Dynamic Meta-Learning Model for Time-Sensitive Cold-Start Recommendations AAAI 2022 “Again, Dozens of Refugees Drowned”: A Computational Study of Political Framing Evoked by Presuppositions NAACL 2022 Bayesian Nonparametric Submodular Video Partition for Robust Anomaly Detection CVPR 2022 Dual-Level Adaptive Information Filtering for Interactive Image Segmentation AISTATS 2022 Multidimensional Belief Quantification for Label-Efficient Meta-Learning CVPR 2022 OpenTAL: Towards Open Set Temporal Action Localization CVPR 2022 Spiking Graph Convolutional Networks IJCAI 2022 Towards Open Set Video Anomaly Detection ECCV 2022 A Continual Learning Framework for Uncertainty-Aware Interactive Image Segmentation AAAI 2021 Active Learning with Maximum Margin Sparse Gaussian Processes AISTATS 2021 A Gaussian Process-Bayesian Bernoulli Mixture Model for Multi-Label Active Learning NeurIPS 2021 Distributionally Robust Optimization for Deep Kernel Multiple Instance Learning AISTATS 2021 DRIVE: Deep Reinforced Accident Anticipation With Visual Explanation ICCV 2021 Evidential Deep Learning for Open Set Action Recognition ICCV 2021 KonTra at CMCL 2021 Shared Task: Predicting Eye Movements by Combining BERT with Surface, Linguistic and Behavioral Information NAACL 2021 Dynamic Fusion of Eye Movement Data and Verbal Narrations in Knowledge-rich Domains NeurIPS 2020 Multifaceted Uncertainty Estimation for Label-Efficient Deep Learning NeurIPS 2020 Fast Direct Search in an Optimally Compressed Continuous Target Space for Efficient Multi-Label Active Learning ICML 2019 Integrating Bayesian and Discriminative Sparse Kernel Machines for Multi-class Active Learning NeurIPS 2019 Modeling Physicians' Utterances to Explore Diagnostic Decision-making IJCAI 2017 Towards multimodal modeling of physicians’ diagnostic confidence and self-awareness using medical narratives COLING 2014