Qian Zhao
34 papers · 2014–2026 · 11 conferences · across top CS/AI conferences
Achievements
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🐣 Hot Topic Early Bird 🏃 Academic Marathon (11) 🌉 Interdisciplinary Bridge 🌍 Conference Polyglot (11) 🐝 Cross-Pollinator (14)
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Conference Polyglot
(11)
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Academic Marathon
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Cross-Pollinator
(14)
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Dynamic Duo
(23)
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(10)
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(3)
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Prolific Year
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(147)
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Century Club
(33)
Conferences
CVPR (11)
AAAI (5)
ICCV (5)
ECCV (3)
ICML (2)
NIPS (2)
SEMEVAL (2)
ACL (1)
COLING (1)
IJCNLP (1)
NAACL (1)
Top co-authors
Keywords
variational inference
(5)
graph attention network
(4)
knowledge graph
(4)
mixture of gaussian
(3)
image restoration
(3)
abstract meaning
(3)
rain removal
(3)
bayesian framework
(3)
generative model
(3)
commonsense reasoning
(2)
semi-supervised learning
(2)
domain adaptation
(2)
noisy label
(2)
image deraining
(2)
proximal gradient descent
(2)
knowledge base
(2)
reading comprehension
(2)
low-rank approximation
(2)
data augmentation
(2)
expectation maximization
(2)
Papers
DLDA: Unified Dual-Level Domain Adaptation for Low-Light Object Detection
AAAI 2026
DroughtSet: Understanding Drought Through Spatial-Temporal Learning
AAAI 2025
Latent Imputation before Prediction: A New Computational Paradigm for De Novo Peptide Sequencing
ICML 2025
Graph Domain Adaptation with Dual-branch Encoder and Two-level Alignment for Whole Slide Image-based Survival Prediction
ICCV 2025
Bagging-Expert Network for Multi-Task Learning: A Depolarization Solution in Multi-Gate Mixture-of-Experts
AAAI 2025
Blind Image Deconvolution by Generative-based Kernel Prior and Initializer via Latent Encoding
ECCV 2024
Leveraging Contextual Information for Effective Entity Salience Detection
NAACL 2024
MDGNN: Multi-Relational Dynamic Graph Neural Network for Comprehensive and Dynamic Stock Investment Prediction
AAAI 2024
Interactive Segmentation As Gaussion Process Classification
CVPR 2023
Blind Image Super-Resolution With Elaborate Degradation Modeling on Noise and Kernel
CVPR 2022
KXNet: A Model-Driven Deep Neural Network for Blind Super-Resolution
ECCV 2022
Learning to Purify Noisy Labels via Meta Soft Label Corrector
AAAI 2021
ECNU_ICA_1 SemEval-2021 Task 4: Leveraging Knowledge-enhanced Graph Attention Networks for Reading Comprehension of Abstract Meaning
ACL 2021
ECNU_ICA_1 SemEval-2021 Task 4: Leveraging Knowledge-enhanced Graph Attention Networks for Reading Comprehension of Abstract Meaning
SEMEVAL 2021
From Rain Generation to Rain Removal
CVPR 2021
Semi-Supervised Video Deraining With Dynamical Rain Generator
CVPR 2021
Learning an Explicit Weighting Scheme for Adapting Complex HSI Noise
CVPR 2021
ECNU_ICA_1 SemEval-2021 Task 4: Leveraging Knowledge-enhanced Graph Attention Networks for Reading Comprehension of Abstract Meaning
IJCNLP 2021
ECNU-SenseMaker at SemEval-2020 Task 4: Leveraging Heterogeneous Knowledge Resources for Commonsense Validation and Explanation
COLING 2020
A Model-Driven Deep Neural Network for Single Image Rain Removal
CVPR 2020
Dual Adversarial Network: Toward Real-world Noise Removal and Noise Generation
ECCV 2020
ECNU-SenseMaker at SemEval-2020 Task 4: Leveraging Heterogeneous Knowledge Resources for Commonsense Validation and Explanation
SEMEVAL 2020
Semi-Supervised Transfer Learning for Image Rain Removal
CVPR 2019
Multispectral and Hyperspectral Image Fusion by MS/HS Fusion Net
CVPR 2019
Variational Denoising Network: Toward Blind Noise Modeling and Removal
NIPS 2019
Meta-Weight-Net: Learning an Explicit Mapping For Sample Weighting
NIPS 2019
Video Rain Streak Removal by Multiscale Convolutional Sparse Coding
CVPR 2018
Should We Encode Rain Streaks in Video as Deterministic or Stochastic?
ICCV 2017
Robust Tensor Factorization With Unknown Noise
CVPR 2016
Multispectral Images Denoising by Intrinsic Tensor Sparsity Regularization
CVPR 2016
A Self-Paced Multiple-Instance Learning Framework for Co-Saliency Detection
ICCV 2015
Low-Rank Matrix Factorization Under General Mixture Noise Distributions
ICCV 2015
A Novel Sparsity Measure for Tensor Recovery
ICCV 2015
Robust Principal Component Analysis with Complex Noise
ICML 2014