← Authors

Qi Zhao

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

Achievements

πŸƒ Academic Marathon (17) 🌈 Renaissance Researcher (5) 🐣 Hot Topic Early Bird 🐝 Cross-Pollinator (9) πŸ—ΊοΈ Taxonomy Completionist (11) 🧭 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)

Top co-authors

Ming Jiang (20) Shi Chen (9) Yifeng Zhang (7) Yongkang Wong (7) Xianyu Chen (6) Mohan S. Kankanhalli (5) Junnan Li (5) Yusu Wang (4) Chen Sun (3) Zhan Ma (3)

Keywords

saliency prediction (6) visual attention (6) eye tracking (4) visual question answering (4) attention mechanism (4) graph neural network (4) transfer learning (4) reinforcement learning (3) visual reasoning (3) neural module network (3) question answering (3) knowledge graph (3) deep neural network (3) feature learning (3) gaze prediction (3) persistent homology (3) external knowledge (3) semi-supervised learning (2) adversarial learning (2) multi-modal learning (2)

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