Jianxin Wu
43 papers · 2011–2026 · 8 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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🗺️ Taxonomy Completionist (55) 🏃 Academic Marathon · Full 🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Bronze 🐣 Hot Topic Early Bird
🔬
Deep Specialist
(11)
🧬
Topic Evolution
🧭
Keyword Pioneer
⚡
Prolific Year · Productive
📈
Trend Setter
🗃️
Keyword Collector
(160)
❓
The Questioner
🔥
Unstoppable · Gold
🚀
Conference Pioneer
💎
Century Club · Bronze
Top co-authors
Research topics
Machine Learning
(33)
Deep Learning
(20)
Computer Vision
(16)
Core Methods
(16)
Analysis
(15)
Application Areas
(15)
Learning Types · Machine Learning
(14)
Optimization & Theory · Deep Learning
(9)
Learning Types · Deep Learning
(8)
Artificial Intelligence
(6)
Architectures
(5)
Core AI
(5)
Models
(4)
Optimization & Theory · Machine Learning
(4)
Techniques
(4)
Keywords
model compression
(11)
image classification
(8)
convolutional neural network
(5)
knowledge distillation
(5)
representation learning
(4)
transfer learning
(3)
few-shot learning
(3)
class imbalance
(3)
self-supervised learning
(3)
object localization
(3)
parameter efficiency
(3)
multi-label classification
(3)
multi-instance learning
(3)
feature extraction
(3)
generative model
(2)
diffusion model
(2)
neural network pruning
(2)
semi-supervised learning
(2)
object recognition
(2)
model quantization
(2)
Papers
TWEO: Transformers Without Extreme Outliers Enables FP8 Training And Quantization For Dummies
CVPR 2026
All You Need in Knowledge Distillation Is a Tailored Coordinate System
AAAI 2025
Memory-Efficient Generative Models via Product Quantization
ICCV 2025
Minimal Interaction Seperated Tuning: A New Paradigm for Visual Adaptation
CVPR 2025
Quantization without Tears
CVPR 2025
Treasures in Discarded Weights for LLM Quantization
AAAI 2025
DiffuLT: Diffusion for Long-tail Recognition Without External Knowledge
NeurIPS 2024
DTL: Disentangled Transfer Learning for Visual Recognition
AAAI 2024
Rectify the Regression Bias in Long-Tailed Object Detection
ECCV 2024
Compressing Transformers: Features Are Low-Rank, but Weights Are Not!
AAAI 2023
Multi-Label Self-Supervised Learning with Scene Images
ICCV 2023
No One Left Behind: Improving the Worst Categories in Long-Tailed Learning
CVPR 2023
Practical Network Acceleration With Tiny Sets
CVPR 2023
Quantized Feature Distillation for Network Quantization
AAAI 2023
ActionFormer: Localizing Moments of Actions with Transformers
ECCV 2022
A Random CNN Sees Objects: One Inductive Bias of CNN and Its Applications
AAAI 2022
Compressing Models With Few Samples: Mimicking Then Replacing
CVPR 2022
Salvage of Supervision in Weakly Supervised Object Detection
CVPR 2022
Synergistic Self-Supervised and Quantization Learning
ECCV 2022
Training Vision Transformers with Only 2040 Images
ECCV 2022
Worst Case Matters for Few-Shot Recognition
ECCV 2022
Bag of Tricks for Long-Tailed Visual Recognition with Deep Convolutional Neural Networks
AAAI 2021
Distilling Virtual Examples for Long-Tailed Recognition
ICCV 2021
Residual Attention: A Simple but Effective Method for Multi-Label Recognition
ICCV 2021
Webly Supervised Fine-Grained Recognition: Benchmark Datasets and an Approach
ICCV 2021
Deep Discriminative CNN with Temporal Ensembling for Ambiguously-Labeled Image Classification
AAAI 2020
Neural Network Pruning With Residual-Connections and Limited-Data
CVPR 2020
Repetitive Reprediction Deep Decipher for Semi-Supervised Learning
AAAI 2020
Rethinking the Route Towards Weakly Supervised Object Localization
CVPR 2020
Probabilistic End-To-End Noise Correction for Learning With Noisy Labels
CVPR 2019
Age Estimation Using Expectation of Label Distribution Learning
IJCAI 2018
Adaptive Feeding: Achieving Fast and Accurate Detections by Adaptively Combining Object Detectors
ICCV 2017
Deep Descriptor Transforming for Image Co-Localization
IJCAI 2017
ThiNet: A Filter Level Pruning Method for Deep Neural Network Compression
ICCV 2017
Exploit Bounding Box Annotations for Multi-Label Object Recognition
CVPR 2016
Person Re-Identification With Correspondence Structure Learning
ICCV 2015
Compact Representation for Image Classification: To Choose or to Compress?
CVPR 2014
Learning with Augmented Multi-Instance View
ACML 2014
Towards Good Practices for Action Video Encoding
CVPR 2014
Reduced Heteroscedasticity Linear Regression for Nyström Approximation
IJCAI 2013
Key Instance Detection in Multi-Instance Learning
ACML 2012
Practical Large Scale Classification with Additive Kernels
ACML 2012
Efficient and Effective Visual Codebook Generation Using Additive Kernels
JMLR 2011