Yue Zhao

A Survey on LLM-based Conversational User Simulation EACL 2026 CoAct: Co-Active LLM Preference Learning with Human-AI Synergy ACL 2026 Defenses Against Prompt Attacks Learn Surface Heuristics ACL 2026 MacVQA: Adaptive Memory Allocation and Global Noise Filtering for Continual Visual Question Answering AAAI 2026 Mitigating Hallucinations in Large Language Models via Causal Reasoning AAAI 2026 KeenKT: Knowledge Mastery-State Disambiguation for Knowledge Tracing AAAI 2026 MyGram: Modality-aware Graph Transformer with Global Distribution for Multi-modal Entity Alignment AAAI 2026 Quantifying the Impact of Structured Output Format on Large Language Models through Causal Inference EACL 2026 Edit Away and My Face Will not Stay: Personal Biometric Defense against Malicious Generative Editing CVPR 2025 From Selection to Generation: A Survey of LLM-based Active Learning ACL 2025 GUICourse: From General Vision Language Model to Versatile GUI Agent ACL 2025 Convert Language Model into a Value-based Strategic Planner ACL 2025 AD-LLM: Benchmarking Large Language Models for Anomaly Detection ACL 2025 DPU: Dynamic Prototype Updating for Multimodal Out-of-Distribution Detection CVPR 2025 One-Minute Video Generation with Test-Time Training CVPR 2025 NLP-ADBench: NLP Anomaly Detection Benchmark EMNLP 2025 Dream to Chat: Model-based Reinforcement Learning on Dialogues with User Belief Modeling EMNLP 2025 Treble Counterfactual VLMs: A Causal Approach to Hallucination EMNLP 2025 RayZer: A Self-supervised Large View Synthesis Model ICCV 2025 Secure On-Device Video OOD Detection Without Backpropagation ICCV 2025 MetaOOD: Automatic Selection of OOD Detection Models ICLR 2025 Image and Video Tokenization with Binary Spherical Quantization ICLR 2025 Distilling Structural Representations into Protein Sequence Models ICLR 2025 Multivariate Conformal Selection ICML 2025 AD-AGENT: A Multi-agent Framework for End-to-end Anomaly Detection IJCNLP 2025 LLM-Empowered Patient-Provider Communication: A Data-Centric Survey From a Clinical Perspective IJCNLP 2025 TRUSTEVAL: A Dynamic Evaluation Toolkit on Trustworthiness of Generative Foundation Models NAACL 2025 AD-AGENT: A Multi-agent Framework for End-to-end Anomaly Detection AACL 2025 LLM-Empowered Patient-Provider Communication: A Data-Centric Survey From a Clinical Perspective AACL 2025 MultiOOD: Scaling Out-of-Distribution Detection for Multiple Modalities NIPS 2024 Melting Pot Contest: Charting the Future of Generalized Cooperative Intelligence NIPS 2024 Towards Reproducible, Automated, and Scalable Anomaly Detection AAAI 2024 UMA: Facilitating Backdoor Scanning via Unlearning-Based Model Ablation AAAI 2024 LLM Factoscope: Uncovering LLMs’ Factual Discernment through Measuring Inner States ACL 2024 Large Multilingual Models Pivot Zero-Shot Multimodal Learning across Languages ICLR 2024 LEAP: Liberate Sparse-View 3D Modeling from Camera Poses ICLR 2024 HPOD: Hyperparameter Optimization for Unsupervised Outlier Detection AUTOML 2024 Distilling Vision-Language Models on Millions of Videos CVPR 2024 Bayesian Diffusion Models for 3D Shape Reconstruction CVPR 2024 VideoPrism: A Foundational Visual Encoder for Video Understanding ICML 2024 Preference Optimization for Molecule Synthesis with Conditional Residual Energy-based Models ICML 2024 Position: TrustLLM: Trustworthiness in Large Language Models ICML 2024 ADMoE: Anomaly Detection with Mixture-of-Experts from Noisy Labels AAAI 2023 ADGym: Design Choices for Deep Anomaly Detection NIPS 2023 Do Not Train It: A Linear Neural Architecture Search of Graph Neural Networks ICML 2023 Learning Video Representations From Large Language Models CVPR 2023 Revisiting Skeleton-Based Action Recognition CVPR 2022 BA-Net: Bridge Attention for Deep Convolutional Neural Networks ECCV 2022 Real-Time Online Video Detection with Temporal Smoothing Transformers ECCV 2022 BOND: Benchmarking Unsupervised Outlier Node Detection on Static Attributed Graphs NIPS 2022 Clues Before Answers: Generation-Enhanced Multiple-Choice QA NAACL 2022 ADBench: Anomaly Detection Benchmark NIPS 2022 TSGCNet: Discriminative Geometric Feature Learning With Two-Stream Graph Convolutional Network for 3D Dental Model Segmentation CVPR 2021 Debiasing Model Updates for Improving Personalized Federated Training ICML 2021 Federated Learning Based on Dynamic Regularization ICLR 2021 TODS: An Automated Time Series Outlier Detection System AAAI 2021 Automatic Unsupervised Outlier Model Selection NIPS 2021 PointBA: Towards Backdoor Attacks in 3D Point Cloud ICCV 2021 Intra- and Inter-Action Understanding via Temporal Action Parsing CVPR 2020 FineGym: A Hierarchical Video Dataset for Fine-Grained Action Understanding CVPR 2020 On Isometry Robustness of Deep 3D Point Cloud Models Under Adversarial Attacks CVPR 2020 Omni-sourced Webly-supervised Learning for Video Recognition ECCV 2020 PyOD: A Python Toolbox for Scalable Outlier Detection JMLR 2019 Find and Focus: Retrieve and Localize Video Events with Natural Language Queries ECCV 2018 Trajectory Convolution for Action Recognition NIPS 2018 Recognize Actions by Disentangling Components of Dynamics CVPR 2018 PM-GANs: Discriminative Representation Learning for Action Recognition Using Partial-modalities ECCV 2018 Document Embedding Enhanced Event Detection with Hierarchical and Supervised Attention ACL 2018 Temporal Action Detection With Structured Segment Networks ICCV 2017 Yinyang K-Means: A Drop-In Replacement of the Classic K-Means with Consistent Speedup ICML 2015