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Qi Zhao

65 papers · 2008–2026 · 17 conferences · across top CS/AI conferences

Achievements

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+15 more ↓ 🧭 Keyword Pioneer πŸ—ΊοΈ Taxonomy Completionist (11) πŸŒ‰ Interdisciplinary Bridge 🌈 Renaissance Researcher (5) 🌍 Conference Polyglot (17)
🧭 Keyword Pioneer πŸŒ‰ Interdisciplinary Bridge 🌍 Conference Polyglot (17) πŸ† Keyword Champion 🌱 Topic Pioneer πŸ”¬ Deep Specialist (10) 🀝 Dynamic Duo (20) πŸ† Grand Slam πŸ—ƒοΈ Keyword Collector (268) ❓ The Questioner (2) ⚑ Prolific Year (5) πŸš€ Conference Pioneer πŸ“ˆ Trend Setter πŸ’Ž Century Club (64) πŸ”₯ Unstoppable (11)

Conferences

CVPR (18) ICCV (8) ECCV (8) NIPS (7) AAAI (4) ICLR (3) ICML (3) WACV (3) EMNLP (2) JMLR (2) CONLL (1) AUTOML (1) AISTATS (1) ACL (1) IJCAI (1) MICCAI (1) NAACL (1)

Papers

G-IR: Geometric Image Representation for Learning AAAI 2026 On Quantizing Neural Representation for Variable-Rate Video Coding ICLR 2025 Enhancing Graph Representation Learning with Localized Topological Features JMLR 2025 CameraCtrl II: Dynamic Scene Exploration via Camera-controlled Video Diffusion Models ICCV 2025 Synthetic Video Enhances Physical Fidelity in Video Synthesis ICCV 2025 Explainable Saliency: Articulating Reasoning with Contextual Prioritization CVPR 2025 RJE: A Retrieval-Judgment-Exploration Framework for Efficient Knowledge Graph Question Answering with LLMs EMNLP 2025 Improving Pre-trained Language Models with Knowledge Enhancement and Filtering Framework NAACL 2025 Model Lineage Closeness Analysis AAAI 2025 Two Sides of the Same Coin: Learning the Backdoor to Remove the Backdoor AAAI 2025 Mastering Massive Multi-Task Reinforcement Learning via Mixture-of-Expert Decision Transformer ICML 2025 ROME is Forged in Adversity: Robust Distilled Datasets via Information Bottleneck ICML 2025 Vamos: Versatile Action Models for Video Understanding ECCV 2024 GazeXplain: Learning to Predict Natural Language Explanations of Visual Scanpaths ECCV 2024 A Domain Adaption Approach for EEG-based Automated Seizure Classification with Temporal-Spatial-Spectral Attention MICCAI 2024 PyPop7: A Pure-Python Library for Population-Based Black-Box Optimization JMLR 2024 Beyond Average: Individualized Visual Scanpath Prediction CVPR 2024 SwitchTab: Switched Autoencoders Are Effective Tabular Learners AAAI 2024 AntGPT: Can Large Language Models Help Long-term Action Anticipation from Videos? ICLR 2024 PNeRV: Enhancing Spatial Consistency via Pyramidal Neural Representation for Videos CVPR 2024 EPO: Hierarchical LLM Agents with Environment Preference Optimization EMNLP 2024 GRACE: Graph-Based Contextual Debiasing for Fair Visual Question Answering ECCV 2024 Learning Chain of Counterfactual Thought for Bias-Robust Vision-Language Reasoning ECCV 2024 Divide and Conquer: Answering Questions With Object Factorization and Compositional Reasoning CVPR 2023 What Do Deep Saliency Models Learn about Visual Attention? NIPS 2023 Holistic Adversarially Robust Pruning ICLR 2023 Toward Multi-Granularity Decision-Making: Explicit Visual Reasoning with Hierarchical Knowledge ICCV 2023 DNeRV: Modeling Inherent Dynamics via Difference Neural Representation for Videos CVPR 2023 REX: Reasoning-Aware and Grounded Explanation CVPR 2022 Non-Uniform Adversarially Robust Pruning AUTOML 2022 Query and Attention Augmentation for Knowledge-Based Explainable Reasoning CVPR 2022 VisualHow: Multimodal Problem Solving CVPR 2022 New Datasets and Models for Contextual Reasoning in Visual Dialog ECCV 2022 Leveraging Human Attention in Novel Object Captioning IJCAI 2021 NN-Baker: A Neural-network Infused Algorithmic Framework for Optimization Problems on Geometric Intersection Graphs NIPS 2021 Self-Distillation for Few-Shot Image Captioning WACV 2021 Explicit Knowledge Incorporation for Visual Reasoning CVPR 2021 Learning to Predict Trustworthiness with Steep Slope Loss NIPS 2021 Predicting Human Scanpaths in Visual Question Answering CVPR 2021 Saliency Prediction With External Knowledge WACV 2021 Representation Learning for Information Extraction from Form-like Documents ACL 2020 Persistence Enhanced Graph Neural Network AISTATS 2020 AiR: Attention with Reasoning Capability ECCV 2020 Fantastic Answers and Where to Find Them: Immersive Question-Directed Visual Attention CVPR 2020 GradMix: Multi-source Transfer across Domains and Tasks WACV 2020 n-Reference Transfer Learning for Saliency Prediction ECCV 2020 Attention-Based Autism Spectrum Disorder Screening With Privileged Modality ICCV 2019 Learning to Learn From Noisy Labeled Data CVPR 2019 Learning to Detect Human-Object Interactions With Knowledge CVPR 2019 Learning metrics for persistence-based summaries and applications for graph classification NIPS 2019 Boosted Attention: Leveraging Human Attention for Image Captioning ECCV 2018 Emotional Attention: A Study of Image Sentiment and Visual Attention CVPR 2018 Unsupervised Learning of View-invariant Action Representations NIPS 2018 Deep Future Gaze: Gaze Anticipation on Egocentric Videos Using Adversarial Networks CVPR 2017 Learning Visual Attention to Identify People With Autism Spectrum Disorder ICCV 2017 Dual-Glance Model for Deciphering Social Relationships ICCV 2017 A Paradigm for Building Generalized Models of Human Image Perception Through Data Fusion CVPR 2016 Safe Subspace Screening for Nuclear Norm Regularized Least Squares Problems ICML 2015 SALICON: Saliency in Context CVPR 2015 Label Consistent Quadratic Surrogate Model for Visual Saliency Prediction CVPR 2015 SALICON: Reducing the Semantic Gap in Saliency Prediction by Adapting Deep Neural Networks ICCV 2015 Learning to Share Latent Tasks for Action Recognition ICCV 2013 Learning to Detect Hedges and their Scope Using CRF CONLL 2010 Noise Characterization, Modeling, and Reduction for In Vivo Neural Recording NIPS 2009 Spike Feature Extraction Using Informative Samples NIPS 2008