Zhuang Liu

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 52

Top Topics

Densely Connected

Continuous Optimization

Object Detectors

Top Venues

IEEE Trans. Pattern Anal. Mach. Intell.

Publications

Xinlei Chen, Zhuang Liu, Saining Xie, Kaiming He
Deconstructing Denoising Diffusion Models for Self-Supervised Learning. CoRR (2024)
Zhuang Liu, Kaiming He
A Decade's Battle on Dataset Bias: Are We There Yet? CoRR (2024)
Shengbang Tong, Zhuang Liu, Yuexiang Zhai, Yi Ma, Yann LeCun, Saining Xie
Eyes Wide Shut? Exploring the Visual Shortcomings of Multimodal LLMs. CoRR (2024)
Mingjie Sun, Xinlei Chen, J. Zico Kolter, Zhuang Liu
Massive Activations in Large Language Models. CoRR (2024)
Mingjie Sun, Zhuang Liu, Anna Bair, J. Zico Kolter
A Simple and Effective Pruning Approach for Large Language Models. ICLR (2024)
Zhiqiu Xu, Yanjie Chen, Kirill Vishniakov, Yida Yin, Zhiqiang Shen, Trevor Darrell, Lingjie Liu, Zhuang Liu
Initializing Models with Larger Ones. ICLR (2024)
Yida Yin, Zhiqiu Xu, Zhiyuan Li, Trevor Darrell, Zhuang Liu
A Coefficient Makes SVRG Effective. CoRR (2023)
Sanghyun Woo, Shoubhik Debnath, Ronghang Hu, Xinlei Chen, Zhuang Liu, In So Kweon, Saining Xie
ConvNeXt V2: Co-designing and Scaling ConvNets with Masked Autoencoders. CoRR (2023)
Rishabh Tiwari, Arnav Chavan, Deepak Gupta, Gowreesh Mago, Animesh Gupta, Akash Gupta, Suraj Sharan, Yukun Yang, Shanwei Zhao, Shihao Wang, Youngjun Kwak, Seonghun Jeong, Yunseung Lee, Changick Kim, Subin Kim, Ganzorig Gankhuyag, Ho Jung, Junwhan Ryu, HaeMoon Kim, Byeong Hak Kim, Tu Vo, Sheir Zaheer, Alexander Holston, Chan Y. Park, Dheemant Dixit, Nahush Lele, Kushagra Bhushan, Debjani Bhowmick, Devanshu Arya, Sadaf Gulshad, Amirhossein Habibian, Amir Ghodrati, Babak Ehteshami Bejnordi, Jai Gupta, Zhuang Liu, Jiahui Yu, Dilip K. Prasad, Zhiqiang Shen
RCV2023 Challenges: Benchmarking Model Training and Inference for Resource-Constrained Deep Learning. ICCV (Workshops) (2023)
Zhiqiu Xu, Yanjie Chen, Kirill Vishniakov, Yida Yin, Zhiqiang Shen, Trevor Darrell, Lingjie Liu, Zhuang Liu
Initializing Models with Larger Ones. CoRR (2023)
Zhuang Liu, Zhiqiu Xu, Joseph Jin, Zhiqiang Shen, Trevor Darrell
Dropout Reduces Underfitting. CoRR (2023)
John Lambert, Zhuang Liu, Ozan Sener, James Hays, Vladlen Koltun
MSeg: A Composite Dataset for Multi-Domain Semantic Segmentation. IEEE Trans. Pattern Anal. Mach. Intell. 45 (1) (2023)
Zhuang Liu, Zhiqiu Xu, Joseph Jin, Zhiqiang Shen, Trevor Darrell
Dropout Reduces Underfitting. ICML (2023)
Zhuang Liu, Hung-Ju Wang, Tinghui Zhou, Zhiqiang Shen, Bingyi Kang, Evan Shelhamer, Trevor Darrell
Exploring Simple and Transferable Recognition-Aware Image Processing. IEEE Trans. Pattern Anal. Mach. Intell. 45 (3) (2023)
Sanghyun Woo, Shoubhik Debnath, Ronghang Hu, Xinlei Chen, Zhuang Liu, In So Kweon, Saining Xie
ConvNeXt V2: Co-designing and Scaling ConvNets with Masked Autoencoders. CVPR (2023)
Mingjie Sun, Zhuang Liu, Anna Bair, J. Zico Kolter
A Simple and Effective Pruning Approach for Large Language Models. CoRR (2023)
Kirill Vishniakov, Zhiqiang Shen, Zhuang Liu
ConvNet vs Transformer, Supervised vs CLIP: Beyond ImageNet Accuracy. CoRR (2023)
Arnav Chavan, Zhuang Liu, Deepak K. Gupta, Eric P. Xing, Zhiqiang Shen
One-for-All: Generalized LoRA for Parameter-Efficient Fine-tuning. CoRR (2023)
Arnav Chavan, Zhiqiang Shen, Zhuang Liu, Zechun Liu, Kwang-Ting Cheng, Eric P. Xing
Vision Transformer Slimming: Multi-Dimension Searching in Continuous Optimization Space. CVPR (2022)
Zhuang Liu, Zhiqiu Xu, Hung-Ju Wang, Trevor Darrell, Evan Shelhamer
Anytime Dense Prediction with Confidence Adaptivity. ICLR (2022)
Zhuang Liu, Hanzi Mao, Chao-Yuan Wu, Christoph Feichtenhofer, Trevor Darrell, Saining Xie
A ConvNet for the 2020s. CVPR (2022)
Arnav Chavan, Zhiqiang Shen, Zhuang Liu, Zechun Liu, Kwang-Ting Cheng, Eric P. Xing
Vision Transformer Slimming: Multi-Dimension Searching in Continuous Optimization Space. CoRR (2022)
Gao Huang, Zhuang Liu, Geoff Pleiss, Laurens van der Maaten, Kilian Q. Weinberger
Convolutional Networks with Dense Connectivity. IEEE Trans. Pattern Anal. Mach. Intell. 44 (12) (2022)
Zhiqiang Shen, Zechun Liu, Zhuang Liu, Marios Savvides, Trevor Darrell, Eric Po Xing
Un-mix: Rethinking Image Mixtures for Unsupervised Visual Representation Learning. AAAI (2022)
Zhuang Liu, Hanzi Mao, Chao-Yuan Wu, Christoph Feichtenhofer, Trevor Darrell, Saining Xie
A ConvNet for the 2020s. CoRR (2022)
Zhuang Liu, Trevor Darrell, Evan Shelhamer
Confidence Adaptive Anytime Pixel-Level Recognition. CoRR (2021)
Yinbo Chen, Zhuang Liu, Huijuan Xu, Trevor Darrell, Xiaolong Wang
Meta-Baseline: Exploring Simple Meta-Learning for Few-Shot Learning. ICCV (2021)
Guanhua Wang, Zhuang Liu, Brandon Hsieh, Siyuan Zhuang, Joseph Gonzalez, Trevor Darrell, Ion Stoica
sensAI: ConvNets Decomposition via Class Parallelism for Fast Inference on Live Data. MLSys (2021)
Zhuang Liu, Xuanlin Li, Bingyi Kang, Trevor Darrell
Regularization Matters in Policy Optimization - An Empirical Study on Continuous Control. ICLR (2021)
Zhiqiang Shen, Zhuang Liu, Jianguo Li, Yu-Gang Jiang, Yurong Chen, Xiangyang Xue
Object Detection from Scratch with Deep Supervision. IEEE Trans. Pattern Anal. Mach. Intell. 42 (2) (2020)
Yinbo Chen, Xiaolong Wang, Zhuang Liu, Huijuan Xu, Trevor Darrell
A New Meta-Baseline for Few-Shot Learning. CoRR (2020)
Gao Huang, Zhuang Liu, Geoff Pleiss, Laurens van der Maaten, Kilian Q. Weinberger
Convolutional Networks with Dense Connectivity. CoRR (2020)
Tianhong Li, Jianguo Li, Zhuang Liu, Changshui Zhang
Few Sample Knowledge Distillation for Efficient Network Compression. CVPR (2020)
Zhiqiang Shen, Zechun Liu, Zhuang Liu, Marios Savvides, Trevor Darrell
Rethinking Image Mixture for Unsupervised Visual Representation Learning. CoRR (2020)
Zhuang Liu, Xuanlin Li, Bingyi Kang, Trevor Darrell
Regularization Matters in Policy Optimization. CoRR (2019)
Zhuang Liu, Mingjie Sun, Tinghui Zhou, Gao Huang, Trevor Darrell
Rethinking the Value of Network Pruning. ICLR (Poster) (2019)
Bingyi Kang, Zhuang Liu, Xin Wang, Fisher Yu, Jiashi Feng, Trevor Darrell
Few-Shot Object Detection via Feature Reweighting. ICCV (2019)
Zhuang Liu, Tinghui Zhou, Zhiqiang Shen, Bingyi Kang, Trevor Darrell
Transferable Recognition-Aware Image Processing. CoRR (2019)
Tianhong Li, Jianguo Li, Zhuang Liu, Changshui Zhang
Knowledge Distillation from Few Samples. CoRR (2018)
Bingyi Kang, Zhuang Liu, Xin Wang, Fisher Yu, Jiashi Feng, Trevor Darrell
Few-shot Object Detection via Feature Reweighting. CoRR (2018)
Zhuang Liu, Mingjie Sun, Tinghui Zhou, Gao Huang, Trevor Darrell
Rethinking the Value of Network Pruning. CoRR (2018)
Zhiqiang Shen, Zhuang Liu, Jianguo Li, Yu-Gang Jiang, Yurong Chen, Xiangyang Xue
Object Detection from Scratch with Deep Supervision. CoRR (2018)
Zhuang Liu, Jianguo Li, Zhiqiang Shen, Gao Huang, Shoumeng Yan, Changshui Zhang
Learning Efficient Convolutional Networks through Network Slimming. CoRR (2017)
Gao Huang, Yixuan Li, Geoff Pleiss, Zhuang Liu, John E. Hopcroft, Kilian Q. Weinberger
Snapshot Ensembles: Train 1, Get M for Free. ICLR (Poster) (2017)
Gao Huang, Zhuang Liu, Laurens van der Maaten, Kilian Q. Weinberger
Densely Connected Convolutional Networks. CVPR (2017)
Zhuang Liu, Jianguo Li, Zhiqiang Shen, Gao Huang, Shoumeng Yan, Changshui Zhang
Learning Efficient Convolutional Networks through Network Slimming. ICCV (2017)
Gao Huang, Yixuan Li, Geoff Pleiss, Zhuang Liu, John E. Hopcroft, Kilian Q. Weinberger
Snapshot Ensembles: Train 1, get M for free. CoRR (2017)
Zhiqiang Shen, Zhuang Liu, Jianguo Li, Yu-Gang Jiang, Yurong Chen, Xiangyang Xue
DSOD: Learning Deeply Supervised Object Detectors from Scratch. CoRR (2017)
Zhiqiang Shen, Zhuang Liu, Jianguo Li, Yu-Gang Jiang, Yurong Chen, Xiangyang Xue
DSOD: Learning Deeply Supervised Object Detectors from Scratch. ICCV (2017)
Gao Huang, Zhuang Liu, Kilian Q. Weinberger
Densely Connected Convolutional Networks. CoRR (2016)
Gao Huang, Yu Sun, Zhuang Liu, Daniel Sedra, Kilian Q. Weinberger
Deep Networks with Stochastic Depth. CoRR (2016)
Gao Huang, Yu Sun, Zhuang Liu, Daniel Sedra, Kilian Q. Weinberger
Deep Networks with Stochastic Depth. ECCV (4) (2016)