Yue Zhao

68 papers · 2015–2026 · 15 conferences · across top CS/AI conferences

Achievements

🏃 Academic Marathon (10) 🐝 Cross-Pollinator (6) 🗺️ Taxonomy Completionist (95) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🌈 Renaissance Researcher (9) 🐣 Hot Topic Early Bird 🌍 Conference Polyglot (13) 👑 Triple Crown 🏆 Grand Slam 👥 Mega-Team (71) 🧬 Topic Evolution 🏆 Keyword Champion (11) 🗃️ Keyword Collector (260) 🚀 Conference Pioneer ⚡ Prolific Year (6) 🔥 Unstoppable (9) 💎 Century Club (60)

Conferences

CVPR (12) AAAI (8) ICML (7) NIPS (7) ACL (6) ICLR (6) ECCV (5) ICCV (4) EMNLP (3) AACL (2) EACL (2) IJCNLP (2) NAACL (2) AUTOML (1) JMLR (1)

Top co-authors

Xiyang Hu (9) Dahua Lin (8) Tiankai Yang (6) Yuanjun Xiong (5) Yi Nian (5) Zhengzhong Tu (4) Li Li (4) Bo Dai (3) Kai Chen (3) Ryan A. Rossi (3)

Research topics

Keywords

anomaly detection (11) large language model (8) action recognition (5) outlier detection (5) unsupervised learning (4) diffusion model (3) dialogue system (3) out-of-distribution detection (3) neural network (3) adversarial attack (2) contrastive learning (2) backdoor attack (2) reinforcement learning (2) causal inference (2) point cloud (2) federated learning (2) video understanding (2) text classification (2) model selection (2) multimodal learning (2)

Papers

Quantifying the Impact of Structured Output Format on Large Language Models through Causal Inference EACL 2026

A Survey on LLM-based Conversational User Simulation EACL 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

Dream to Chat: Model-based Reinforcement Learning on Dialogues with User Belief Modeling EMNLP 2025

Multivariate Conformal Selection ICML 2025

NLP-ADBench: NLP Anomaly Detection Benchmark 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

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

LLM-Empowered Patient-Provider Communication: A Data-Centric Survey From a Clinical Perspective AACL 2025

Treble Counterfactual VLMs: A Causal Approach to Hallucination EMNLP 2025

Distilling Structural Representations into Protein Sequence Models ICLR 2025

Edit Away and My Face Will not Stay: Personal Biometric Defense against Malicious Generative Editing CVPR 2025

AD-AGENT: A Multi-agent Framework for End-to-end Anomaly Detection AACL 2025

DPU: Dynamic Prototype Updating for Multimodal Out-of-Distribution Detection CVPR 2025

One-Minute Video Generation with Test-Time Training CVPR 2025

TRUSTEVAL: A Dynamic Evaluation Toolkit on Trustworthiness of Generative Foundation Models NAACL 2025

LLM-Empowered Patient-Provider Communication: A Data-Centric Survey From a Clinical Perspective IJCNLP 2025

AD-AGENT: A Multi-agent Framework for End-to-end Anomaly Detection IJCNLP 2025

Large Multilingual Models Pivot Zero-Shot Multimodal Learning across Languages ICLR 2024

Melting Pot Contest: Charting the Future of Generalized Cooperative Intelligence NIPS 2024

MultiOOD: Scaling Out-of-Distribution Detection for Multiple Modalities NIPS 2024

HPOD: Hyperparameter Optimization for Unsupervised Outlier Detection AUTOML 2024

UMA: Facilitating Backdoor Scanning via Unlearning-Based Model Ablation AAAI 2024

Towards Reproducible, Automated, and Scalable Anomaly Detection AAAI 2024

LLM Factoscope: Uncovering LLMs’ Factual Discernment through Measuring Inner States ACL 2024

Bayesian Diffusion Models for 3D Shape Reconstruction CVPR 2024

Distilling Vision-Language Models on Millions of Videos 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

LEAP: Liberate Sparse-View 3D Modeling from Camera Poses ICLR 2024

ADGym: Design Choices for Deep Anomaly Detection NIPS 2023

Learning Video Representations From Large Language Models CVPR 2023

ADMoE: Anomaly Detection with Mixture-of-Experts from Noisy Labels AAAI 2023

Do Not Train It: A Linear Neural Architecture Search of Graph Neural Networks ICML 2023

Real-Time Online Video Detection with Temporal Smoothing Transformers ECCV 2022

BOND: Benchmarking Unsupervised Outlier Node Detection on Static Attributed Graphs NIPS 2022

ADBench: Anomaly Detection Benchmark NIPS 2022

Revisiting Skeleton-Based Action Recognition CVPR 2022

BA-Net: Bridge Attention for Deep Convolutional Neural Networks ECCV 2022

Clues Before Answers: Generation-Enhanced Multiple-Choice QA NAACL 2022

PointBA: Towards Backdoor Attacks in 3D Point Cloud ICCV 2021

TSGCNet: Discriminative Geometric Feature Learning With Two-Stream Graph Convolutional Network for 3D Dental Model Segmentation CVPR 2021

Automatic Unsupervised Outlier Model Selection NIPS 2021

TODS: An Automated Time Series Outlier Detection System AAAI 2021

Federated Learning Based on Dynamic Regularization ICLR 2021

Debiasing Model Updates for Improving Personalized Federated Training ICML 2021

Omni-sourced Webly-supervised Learning for Video Recognition ECCV 2020

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

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

PM-GANs: Discriminative Representation Learning for Action Recognition Using Partial-modalities ECCV 2018

Recognize Actions by Disentangling Components of Dynamics CVPR 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