Zhuang Liu
39 papers · 2017–2026 · 10 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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πΊοΈ Taxonomy Completionist (65) π Conference Polyglot Β· Gold π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
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Triple Crown
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Grand Slam
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Mega-Team Β· Squad
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Dynamic Duo
(10)
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Topic Evolution
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Keyword Pioneer
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Keyword Collector
(160)
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The Questioner
(3)
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Unstoppable Β· Bronze
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Prolific Year Β· Productive
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Century Club Β· Bronze
Venues
Top co-authors
Research topics
Machine Learning
(28)
Deep Learning
(22)
Application Areas
(15)
Artificial Intelligence
(14)
Core AI
(11)
Learning Types Β· Deep Learning
(11)
Architectures
(10)
Computer Vision
(9)
Learning Types Β· Machine Learning
(9)
Techniques
(9)
Optimization & Theory
(8)
Core Methods
(7)
Analysis
(6)
Models
(6)
Natural Language Processing
(5)
Keywords
large language model
(6)
image classification
(5)
self-supervised learning
(5)
model compression
(5)
semantic segmentation
(4)
multimodal learning
(4)
neural network
(4)
convolutional neural network
(3)
contrastive learning
(3)
representation learning
(3)
transfer learning
(3)
network pruning
(3)
pre-trained model
(2)
vision transformer
(2)
neural network optimization
(2)
vision-language model
(2)
domain generalization
(2)
zero-shot learning
(2)
data augmentation
(2)
few-shot learning
(2)
Papers
Generative Modeling of Weights: Generalization or Memorization?
CVPR 2026
PRISM: Probing Reasoning, Instruction, and Source Memory in LLM Hallucinations
ACL 2026
Stronger Normalization-Free Transformers
CVPR 2026
VideoAuto-R1: Video Auto Reasoning via Thinking Once, Answering Twice
CVPR 2026
A Coefficient Makes SVRG Effective
ICLR 2025
A Decade's Battle on Dataset Bias: Are We There Yet?
ICLR 2025
Amphista: Bi-directional Multi-head Decoding for Accelerating LLM Inference
NAACL 2025
Deconstructing Denoising Diffusion Models for Self-Supervised Learning
ICLR 2025
Idiosyncrasies in Large Language Models
ICML 2025
LongVU: Spatiotemporal Adaptive Compression for Long Video-Language Understanding
ICML 2025
MetaMorph: Multimodal Understanding and Generation via Instruction Tuning
ICCV 2025
Scaling Language-Free Visual Representation Learning
ICCV 2025
Transformers without Normalization
CVPR 2025
A Simple and Effective Pruning Approach for Large Language Models
ICLR 2024
ConvNet vs Transformer, Supervised vs CLIP: Beyond ImageNet Accuracy
ICML 2024
Eyes Wide Shut? Exploring the Visual Shortcomings of Multimodal LLMs
CVPR 2024
Initializing Models with Larger Ones
ICLR 2024
Understanding Bias in Large-Scale Visual Datasets
NeurIPS 2024
ConvNeXt V2: Co-Designing and Scaling ConvNets With Masked Autoencoders
CVPR 2023
Dropout Reduces Underfitting
ICML 2023
ImageBind: One Embedding Space To Bind Them All
CVPR 2023
A ConvNet for the 2020s
CVPR 2022
Anytime Dense Prediction with Confidence Adaptivity
ICLR 2022
Un-mix: Rethinking Image Mixtures for Unsupervised Visual Representation Learning
AAAI 2022
Vision Transformer Slimming: Multi-Dimension Searching in Continuous Optimization Space
CVPR 2022
Enhancing Chinese Word Segmentation via Pseudo Labels for Practicability
ACL 2021
Meta-Baseline: Exploring Simple Meta-Learning for Few-Shot Learning
ICCV 2021
Regularization Matters in Policy Optimization - An Empirical Study on Continuous Control
ICLR 2021
A Joint Multiple Criteria Model in Transfer Learning for Cross-domain Chinese Word Segmentation
EMNLP 2020
Few Sample Knowledge Distillation for Efficient Network Compression
CVPR 2020
FinBERT: A Pre-trained Financial Language Representation Model for Financial Text Mining
IJCAI 2020
MSeg: A Composite Dataset for Multi-Domain Semantic Segmentation
CVPR 2020
Test-Time Training with Self-Supervision for Generalization under Distribution Shifts
ICML 2020
DUT-BIM at MEDIQA 2019: Utilizing Transformer Network and Medical Domain-Specific Contextualized Representations for Question Answering
ACL 2019
Few-Shot Object Detection via Feature Reweighting
ICCV 2019
Rethinking the Value of Network Pruning
ICLR 2019
Densely Connected Convolutional Networks
CVPR 2017
DSOD: Learning Deeply Supervised Object Detectors From Scratch
ICCV 2017
Learning Efficient Convolutional Networks Through Network Slimming
ICCV 2017