← Authors

Qian Zhao

34 papers · 2014–2026 · 11 conferences · across top CS/AI conferences

Achievements

🐣 Hot Topic Early Bird 🧭 Keyword Pioneer πŸ—ΊοΈ Taxonomy Completionist (65) πŸŒ‰ Interdisciplinary Bridge 🌈 Renaissance Researcher (10) 🌍 Conference Polyglot (11) πŸƒ Academic Marathon (11) 🐝 Cross-Pollinator (14) 🀝 Dynamic Duo (23) πŸ”¬ Deep Specialist (10) πŸ† Keyword Champion (3) ❓ The Questioner πŸ“ˆ Trend Setter ⚑ Prolific Year (7) πŸ—ƒοΈ Keyword Collector (147) πŸ”₯ Unstoppable (12) πŸ’Ž 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

Deyu Meng (23) Qi Xie (11) Zongben Xu (9) Zongsheng Yue (7) Xin lin (5) Linlin Wang (5) Lei Zhang (5) Liang He (5) Hao Chen (4) Hong Wang (4)

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