Qi Zhao
65 papers · 2008–2026 · 17 conferences · across top CS/AI conferences
Achievements
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π§ Keyword Pioneer πΊοΈ Taxonomy Completionist (11) π Interdisciplinary Bridge π Renaissance Researcher (5) π Conference Polyglot (17)
π§
Keyword Pioneer
π
Interdisciplinary Bridge
π
Conference Polyglot
(17)
π
Keyword Champion
π±
Topic Pioneer
π¬
Deep Specialist
(10)
π€
Dynamic Duo
(20)
π
Grand Slam
ποΈ
Keyword Collector
(268)
β
The Questioner
(2)
β‘
Prolific Year
(5)
π
Conference Pioneer
π
Trend Setter
π
Century Club
(64)
π₯
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
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