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Qiang Qiu

54 papers · 2013–2026 · 10 conferences · across top CS/AI conferences

Achievements

πŸƒ Academic Marathon (13) πŸ—ΊοΈ Taxonomy Completionist (80) 🌍 Conference Polyglot (10) 🌈 Renaissance Researcher (8) 🐝 Cross-Pollinator (10) πŸŒ‰ Interdisciplinary Bridge 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🀝 Dynamic Duo (15) πŸ‘‘ Triple Crown πŸ† Grand Slam 🌱 Topic Pioneer πŸ”¬ Deep Specialist (11) 🧬 Topic Evolution πŸ† Keyword Champion (2) ⚑ Prolific Year (6) ❓ The Questioner πŸ“ˆ Trend Setter πŸ’Ž Century Club (54) πŸ”₯ Unstoppable (10) πŸš€ Conference Pioneer πŸ—ƒοΈ Keyword Collector (192)

Conferences

CVPR (14) ICLR (10) NIPS (8) ICCV (6) WACV (5) ICML (4) ECCV (3) JMLR (2) AAAI (1) ACL (1)

Top co-authors

Guillermo Sapiro (15) Ze Wang (14) Zichen Miao (13) Xiuyuan Cheng (8) Wei Chen (6) Xiantong Zhen (5) Robert Calderbank (5) Zicheng Liu (5) Jiaji Huang (5) Jiang Wang (4)

Keywords

convolutional neural network (7) representation learning (7) filter decomposition (5) metric learning (4) generative model (4) image generation (4) diffusion model (4) model compression (4) deep learning (3) transfer learning (3) few-shot learning (3) image classification (2) distribution shift (2) nearest neighbor search (2) adversarial learning (2) face recognition (2) dictionary learning (2) orthogonal projection (2) domain adaptation (2) variational inference (2)

Papers

Conditional Text-to-Image Generation with Reference Guidance WACV 2026
Coeff-Tuning: A Graph Filter Subspace View for Tuning Attention-Based Large Models CVPR 2025
Large Convolutional Model Tuning via Filter Subspace ICLR 2025
Learning to Unlearn while Retaining: Combating Gradient Conflicts in Machine Unlearning ICCV 2025
Sparse Fine-Tuning of Transformers for Generative Tasks ICCV 2025
Tuning Timestep-Distilled Diffusion Model Using Pairwise Sample Optimization ICLR 2025
Text Embedding is Not All You Need: Attention Control for Text-to-Image Semantic Alignment with Text Self-Attention Maps CVPR 2025
SSOLE: Rethinking Orthogonal Low-rank Embedding for Self-Supervised Learning ICLR 2025
Consistency Posterior Sampling for Diverse Image Synthesis CVPR 2025
Generative Quanta Color Imaging CVPR 2024
Training Bayesian Neural Networks with Sparse Subspace Variational Inference ICLR 2024
Constructing Concept-based Models to Mitigate Spurious Correlations with Minimal Human Effort ECCV 2024
Training Diffusion Models Towards Diverse Image Generation with Reinforcement Learning CVPR 2024
Structural Re-weighting Improves Graph Domain Adaptation ICML 2023
Binary Latent Diffusion CVPR 2023
Learning To Retain While Acquiring: Combating Distribution-Shift in Adversarial Data-Free Knowledge Distillation CVPR 2023
Inner Product-based Neural Network Similarity NIPS 2023
Learning Adversarially Robust Sparse Networks via Weight Reparameterization AAAI 2023
Meta-OLE: Meta-Learned Orthogonal Low-Rank Embedding WACV 2023
Seq-UPS: Sequential Uncertainty-Aware Pseudo-Label Selection for Semi-Supervised Text Recognition WACV 2023
Energy-Inspired Self-Supervised Pretraining for Vision Models ICLR 2023
Recycling Model Updates in Federated Learning: Are Gradient Subspaces Low-Rank? ICLR 2022
Scaling-Translation-Equivariant Networks with Decomposed Convolutional Filters JMLR 2022
Continual Learning with Filter Atom Swapping ICLR 2022
Run-Sort-ReRun: Escaping Batch Size Limitations in Sliced Wasserstein Generative Models ICML 2021
Exploiting a Zoo of Checkpoints for Unseen Tasks NIPS 2021
Adaptive Convolutions With Per-Pixel Dynamic Filter Atom ICCV 2021
Image Generation using Continuous Filter Atoms NIPS 2021
Learning to Learn Dense Gaussian Processes for Few-Shot Learning NIPS 2021
Spatiotemporal Joint Filter Decomposition in 3D Convolutional Neural Networks NIPS 2021
Graph Convolution with Low-rank Learnable Local Filters ICLR 2021
Learning to Learn with Variational Information Bottleneck for Domain Generalization ECCV 2020
Variational Image Deraining WACV 2020
A Dictionary Approach to Domain-Invariant Learning in Deep Networks NIPS 2020
Model-Agnostic Metric for Zero-Shot Learning WACV 2020
Learning to Learn Variational Semantic Memory NIPS 2020
Stochastic Conditional Generative Networks with Basis Decomposition ICLR 2020
RotDCF: Decomposition of Convolutional Filters for Rotation-Equivariant Deep Networks ICLR 2019
Hubless Nearest Neighbor Search for Bilingual Lexicon Induction ACL 2019
Enhancing 2D Representation via Adjacent Views for 3D Shape Retrieval ICCV 2019
Adversarially Learned Representations for Information Obfuscation and Inference ICML 2019
LDMNet: Low Dimensional Manifold Regularized Neural Networks CVPR 2018
ForestHash: Semantic Hashing With Shallow Random Forests and Tiny Convolutional Networks ECCV 2018
OLÉ: Orthogonal Low-Rank Embedding - A Plug and Play Geometric Loss for Deep Learning CVPR 2018
DCFNet: Deep Neural Network with Decomposed Convolutional Filters ICML 2018
Weakly Supervised Instance Segmentation Using Class Peak Response CVPR 2018
Oriented Response Networks CVPR 2017
Self-Learning Scene-Specific Pedestrian Detectors Using a Progressive Latent Model CVPR 2017
Soft Proposal Networks for Weakly Supervised Object Localization ICCV 2017
Not Afraid of the Dark: NIR-VIS Face Recognition via Cross-Spectral Hallucination and Low-Rank Embedding CVPR 2017
Discriminative Robust Transformation Learning NIPS 2015
Geometry-Aware Deep Transform ICCV 2015
Learning Transformations for Clustering and Classification JMLR 2015
Subspace Interpolation via Dictionary Learning for Unsupervised Domain Adaptation CVPR 2013