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Liu, Zhuang

  1. Densely Connected Convolutional Networks
    2016/08/25 by Gao Huang, Huang, Gao, Zhuang Liu +5 · 3 voices · 551 citations
    Computer Science · #Advanced Neural Network Applications #Domain Adaptation and Few-Shot Learning #Multimodal Machine Learning Applications
  2. Transformers without Normalization
    2025/03/13 by Jiachen Zhu, Zhu, Jiachen, Xinlei Chen +7 · 20 voices · 23 citations
    Computer Science · #Advanced Neural Network Applications #Adversarial Robustness in Machine Learning #Generative Adversarial Networks and Image Synthesis #cs.AI #cs.CL #cs.CV #cs.LG
  3. Deep Networks with Stochastic Depth
    2016/03/30 by Gao Huang, Huang, Gao, Yu Sun +8 · 3 voices · 85 citations
    Computer Science · #Advanced Neural Network Applications #Adversarial Robustness in Machine Learning #Domain Adaptation and Few-Shot Learning #cs.CV #cs.LG #cs.NE
  4. A ConvNet for the 2020s
    2022/01/10 by Zhuang Liu, Liu, Zhuang, Hanzi Mao +9 · 4 voices · 395 citations
    Computer Science · Medicine · #Advanced Neural Network Applications #COVID-19 diagnosis using AI #Domain Adaptation and Few-Shot Learning #cs.CV
  5. A Simple and Effective Pruning Approach for Large Language Models
    2023/06/20 by Mingjie Sun, Ming-Jie Sun, Sun, Mingjie +6 · 2 voices · 123 citations
    Computer Science · Engineering · #Ferroelectric and Negative Capacitance Devices #Natural Language Processing Techniques #Topic Modeling #cs.AI #cs.CL #cs.LG
  6. ImageBind: One Embedding Space To Bind Them All
    2023/05/09 by Rohit Girdhar, Girdhar, Rohit, Alaaeldin El-Nouby +11 · 2 voices · 183 citations
    Computer Science · #cs.CV #cs.AI #cs.LG #cs.MM
  7. Snapshot Ensembles: Train 1, get M for free
    2017/04/01 by Gao Huang, Huang, Gao, Yixuan Li +9 · 1 voice · 25 citations
    Computer Science · #Advanced Neural Network Applications #Domain Adaptation and Few-Shot Learning #Machine Learning and Data Classification #cs.LG
  8. Neural Network Diffusion
    2024/02/20 by Kai Wang, Dongwen Tang, Wang, Kai +17 · 1 voice · 6 citations
    #cs.LG #cs.CV
  9. ConvNeXt V2: Co-designing and Scaling ConvNets with Masked Autoencoders
    2023/01/02 by Sanghyun Woo, Woo, Sanghyun, Shoubhik Debnath +11 · 108 citations
    Computer Science · #Advanced Neural Network Applications #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Multimodal Machine Learning Applications
  10. Eyes Wide Shut? Exploring the Visual Shortcomings of Multimodal LLMs
    2024/01/11 by Shengbang Tong, Zhuang Liu, Tong, Shengbang +9 · 122 citations
    Computer Science · #Multimodal Machine Learning Applications #Topic Modeling #Natural Language Processing Techniques
  11. Learning Efficient Convolutional Networks through Network Slimming
    2017/08/22 by Zhuang Liu, Liu, Zhuang, Jianguo Li +9 · 37 citations
    Computer Science · #Advanced Neural Network Applications #Adversarial Robustness in Machine Learning #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG)
  12. MetaMorph: Multimodal Understanding and Generation via Instruction Tuning
    2024/12/18 by Shengbang Tong, David Fan, Tong, Shengbang +17 · 5 voices · 58 citations
    #cs.CV
  13. LongVU: Spatiotemporal Adaptive Compression for Long Video-Language Understanding
    2024/10/22 by Xiaoqian Shen, Yunyang Xiong, Shen, Xiaoqian +31 · 78 citations
    Computer Science · #Advanced Data Compression Techniques #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Multimodal Machine Learning Applications #Video Analysis and Summarization
  14. Rethinking the Value of Network Pruning
    2018/10/11 by Zhuang Liu, Liu, Zhuang, Mingjie Sun +7 · 26 citations
    Computer Science · #Advanced Neural Network Applications #Anomaly Detection Techniques and Applications #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  15. Massive Activations in Large Language Models
    2024/02/27 by Ming-Jie Sun, Sun, Mingjie, Xinlei Chen +5 · 47 citations
    Computer Science · #Topic Modeling #Natural Language Processing Techniques
  16. Idiosyncrasies in Large Language Models
    2025/02/17 by Mingjie Sun, Ming-Jie Sun, Sun, Mingjie +9 · 6 voices · 10 citations
    Computer Science · #Natural Language Processing Techniques #Topic Modeling
  17. Scaling Language-Free Visual Representation Learning
    2025/04/01 by David Fan, Shengbang Tong, Fan, David +19 · 3 voices · 22 citations
    Computer Science · #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #cs.CV
  18. Deconstructing Denoising Diffusion Models for Self-Supervised Learning
    2024/01/25 by Xinlei Chen, Chen, Xinlei, Zhuang Liu +5 · 15 citations
    Computer Science · #Image and Signal Denoising Methods
  19. Meta-Baseline: Exploring Simple Meta-Learning for Few-Shot Learning
    2020/03/09 by Yinbo Chen, Zhuang Liu, Chen, Yinbo +7 · 8 citations
    Biochemistry, Genetics and Molecular Biology · Computer Science · #Cancer-related molecular mechanisms research #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Multimodal Machine Learning Applications
  20. Few-shot Object Detection via Feature Reweighting
    2018/12/05 by Kang, Bingyi, Liu, Zhuang, Wang, Xin +3 · 6 citations
    #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
  21. One-for-All: Generalized LoRA for Parameter-Efficient Fine-tuning
    2023/06/13 by Arnav Chavan, Zhuang Liu, Chavan, Arnav +7 · 6 citations
    Computer Science · #Advanced Neural Network Applications #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and ELM
  22. Initializing Models with Larger Ones
    2023/11/30 by Xu, Zhiqiu, Chen, Yanjie, Vishniakov, Kirill +5 · 6 citations
    #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  23. Test-Time Training with Self-Supervision for Generalization under Distribution Shifts
    2019/09/29 by Sun, Yu, Wang, Xiaolong, Liu, Zhuang +3 · 3 citations
    #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  24. Un-Mix: Rethinking Image Mixtures for Unsupervised Visual Representation Learning
    2020/03/11 by Shen, Zhiqiang, Liu, Zechun, Liu, Zhuang +3 · 3 citations
    #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #FOS: Electrical engineering #Image and Video Processing (eess.IV) #Machine Learning (cs.LG) #electronic engineering #information engineering
  25. A Decade's Battle on Dataset Bias: Are We There Yet?
    2024/03/13 by Liu, Zhuang, He, Kaiming · 5 citations
    #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  26. MSeg: A Composite Dataset for Multi-domain Semantic Segmentation
    2021/12/27 by John Lambert, Lambert, John, Zhuang Liu +7 · 3 citations
    Computer Science · #Advanced Neural Network Applications #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Multimodal Machine Learning Applications
  27. Meta CLIP 2: A Worldwide Scaling Recipe
    2025/07/29 by Yung-Sung Chuang, Chuang, Yung-Sung, Li Yang +27 · 15 citations
    Computer Science · #Multimodal Machine Learning Applications #Domain Adaptation and Few-Shot Learning #Topic Modeling
  28. ConvNet vs Transformer, Supervised vs CLIP: Beyond ImageNet Accuracy
    2023/11/15 by Kirill Vishniakov, Vishniakov, Kirill, Zhiqiang Shen +3 · 4 citations
    Computer Science · #Advanced Neural Network Applications #Adversarial Robustness in Machine Learning #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG)
  29. Convolutional Networks with Dense Connectivity
    2020/01/08 by Huang, Gao, Liu, Zhuang, Pleiss, Geoff +2 · 2 citations
    #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  30. A Coefficient Makes SVRG Effective
    2023/11/09 by Yida Yin, Zhiqiu Xu, Yin, Yida +7 · 3 citations
    Computer Science · #Advanced Neural Network Applications #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Data Classification #Optimization and Control (math.OC) #Stochastic Gradient Optimization Techniques
  31. Stronger Normalization-Free Transformers
    2025/12/11 by Mingzhi Chen, Chen, Mingzhi, Taiming Lu +7 · 2 voices
    Computer Science · #Advanced Neural Network Applications #Domain Adaptation and Few-Shot Learning #Generative Adversarial Networks and Image Synthesis #cs.AI #cs.CL #cs.CV #cs.LG
  32. A conjugate gradient method for electronic structure calculations
    2016/01/28 by Dai, Xiaoying, Liu, Zhuang, Zhang, Liwei +1 · 1 citation
    #FOS: Mathematics #Numerical Analysis (math.NA)
  33. Vision Transformer Slimming: Multi-Dimension Searching in Continuous Optimization Space
    2022/01/03 by Arnav Chavan, Chavan, Arnav, Zhiqiang Shen +9 · 1 citation
    Computer Science · #Advanced Image and Video Retrieval Techniques #Advanced Neural Network Applications #Advanced Vision and Imaging #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  34. Dropout Reduces Underfitting
    2023/03/02 by Zhuang Liu, Liu, Zhuang, Zhiqiu Xu +7 · 1 citation
    Computer Science · #Advanced Neural Network Applications #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Data Classification
  35. Understanding Bias in Large-Scale Visual Datasets
    2024/12/02 by Boya Zeng, Zeng, Boya, Yida Yin +3 · 2 citations
    Computer Science · Medicine · #Anomaly Detection Techniques and Applications #Imbalanced Data Classification Techniques #Data-Driven Disease Surveillance
  36. A optimization framework for herbal prescription planning based on deep reinforcement learning
    2023/04/25 by Kuo Yang, Yang, Kuo, Zecong Yu +17 · 1 citation
    Medicine · #Acupuncture Treatment Research Studies #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Traditional Chinese Medicine Analysis #Traditional Chinese Medicine Studies
  37. A Parallel Orbital-updating Based Optimization Method for Electronic Structure Calculations
    2015/10/25 by Dai, Xiaoying, Liu, Zhuang, Zhang, Xin +1 · 1 citation
    #FOS: Mathematics #Numerical Analysis (math.NA)
  38. Explainable Few-shot Knowledge Tracing
    2024/05/23 by Li, Haoxuan, Yu, Jifan, Ouyang, Yuanxin +4 · 1 citation
    #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #Computers and Society (cs.CY) #FOS: Computer and information sciences
  39. DepthLM: Metric Depth From Vision Language Models
    2025/09/29 by Zhipeng Cai, Cai, Zhipeng, Ching-Feng Yeh +17 · 4 citations
    Computer Science · #Multimodal Machine Learning Applications #Advanced Image and Video Retrieval Techniques
  40. Mixed-Precision Computing in the GRIST Dynamical Core for Weather and Climate Modelling
    2024/04/12 by Chen, Siyuan, Zhang, Yi, Wang, Yiming +3 · 1 citation
    #Atmospheric and Oceanic Physics (physics.ao-ph) #FOS: Physical sciences