Zhiqiang Shen

ORCID

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 147

Top Venues

Publications

Liqun Ma, Mingjie Sun, Zhiqiang Shen
FBI-LLM: Scaling Up Fully Binarized LLMs from Scratch via Autoregressive Distillation. CoRR (2024)
Jiahao Chen, Zhiqiang Shen, Yuwen Pu, Chunyi Zhou, Changjiang Li, Ting Wang, Shouling Ji
Rethinking the Vulnerabilities of Face Recognition Systems:From a Practical Perspective. CoRR (2024)
Kai Hu, Weichen Yu, Tianjun Yao, Xiang Li, Wenhe Liu, Lijun Yu, Yining Li, Kai Chen, Zhiqiang Shen, Matt Fredrikson
Efficient LLM Jailbreak via Adaptive Dense-to-sparse Constrained Optimization. CoRR (2024)
Shitong Shao, Zikai Zhou, Huanran Chen, Zhiqiang Shen
Elucidating the Design Space of Dataset Condensation. CoRR (2024)
Muxin Zhou, Zeyuan Yin, Shitong Shao, Zhiqiang Shen
Self-supervised Dataset Distillation: A Good Compression Is All You Need. CoRR (2024)
Sheng Zhang, Muzammal Naseer, Guangyi Chen, Zhiqiang Shen, Salman H. Khan, Kun Zhang, Fahad Shahbaz Khan
S3A: Towards Realistic Zero-Shot Classification via Self Structural Semantic Alignment. AAAI (2024)
Zhili Chen, Kien T. Pham, Maosheng Ye, Zhiqiang Shen, Qifeng Chen
Cross-Cluster Shifting for Efficient and Effective 3D Object Detection in Autonomous Driving. CoRR (2024)
Tianjun Yao, Yongqiang Chen, Zhenhao Chen, Kai Hu, Zhiqiang Shen, Kun Zhang
Empowering Graph Invariance Learning with Deep Spurious Infomax. CoRR (2024)
Junming Su, Zhiqiang Shen, Peng Cao, Jinzhu Yang, Osmar R. Zaïane
Self-Paced Sample Selection for Barely-Supervised Medical Image Segmentation. CoRR (2024)
Zhiqiang Shen, Peng Cao, Junming Su, Jinzhu Yang, Osmar R. Zaïane
Rethinking Barely-Supervised Segmentation from an Unsupervised Domain Adaptation Perspective. CoRR (2024)
Zhiqiang Shen, Longguang Wang, Yulan Guo, Qiong Liu, Xi Zhou
Point Spatio-Temporal Pyramid Network for Point Cloud Video Understanding. IEEE Signal Process. Lett. 31 (2024)
Zhiqiang Shen, Peng Cao, Junming Su, Jinzhu Yang, Osmar R. Zaïane
Adaptive Mix for Semi-Supervised Medical Image Segmentation. CoRR (2024)
Aidar Myrzakhan, Sondos Mahmoud Bsharat, Zhiqiang Shen
Open-LLM-Leaderboard: From Multi-choice to Open-style Questions for LLMs Evaluation, Benchmark, and Arena. CoRR (2024)
Zhiqiu Xu, Yanjie Chen, Kirill Vishniakov, Yida Yin, Zhiqiang Shen, Trevor Darrell, Lingjie Liu, Zhuang Liu
Initializing Models with Larger Ones. ICLR (2024)
Shitong Shao, Zhiqiang Shen, Linrui Gong, Huanran Chen, Xu Dai
Precise Knowledge Transfer via Flow Matching. CoRR (2024)
Zhili Chen, Kien T. Pham, Maosheng Ye, Zhiqiang Shen, Qifeng Chen
Cross-Cluster Shifting for Efficient and Effective 3D Object Detection in Autonomous Driving. ICRA (2024)
Sukmin Yun, Haokun Lin, Rusiru Thushara, Mohammad Qazim Bhat, Yongxin Wang, Zutao Jiang, Mingkai Deng, Jinhong Wang, Tianhua Tao, Junbo Li, Haonan Li, Preslav Nakov, Timothy Baldwin, Zhengzhong Liu, Eric P. Xing, Xiaodan Liang, Zhiqiang Shen
Web2Code: A Large-scale Webpage-to-Code Dataset and Evaluation Framework for Multimodal LLMs. CoRR (2024)
Qinfeng Li, Zhiqiang Shen, Zhenghan Qin, Yangfan Xie, Xuhong Zhang, Tianyu Du, Jianwei Yin
TransLinkGuard: Safeguarding Transformer Models Against Model Stealing in Edge Deployment. CoRR (2024)
Zeyuan Yin, Eric P. Xing, Zhiqiang Shen
Squeeze, Recover and Relabel: Dataset Condensation at ImageNet Scale From A New Perspective. NeurIPS (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)
Zhiqiang Shen
FerKD: Surgical Label Adaptation for Efficient Distillation. ICCV (2023)
Zhiqiang Shen
FerKD: Surgical Label Adaptation for Efficient Distillation. CoRR (2023)
Zhiqiang Shen, Tianhua Tao, Liqun Ma, Willie Neiswanger, Zhengzhong Liu, Hongyi Wang, Bowen Tan, Joel Hestness, Natalia Vassilieva, Daria Soboleva, Eric P. Xing
SlimPajama-DC: Understanding Data Combinations for LLM Training. CoRR (2023)
Zhiqiang Shen, Xiaoxiao Sheng, Hehe Fan, Longguang Wang, Yulan Guo, Qiong Liu, Hao Wen, Xi Zhou
Masked Spatio-Temporal Structure Prediction for Self-supervised Learning on Point Cloud Videos. ICCV (2023)
Zhiqiang Shen, Peng Cao, Hua Yang, Xiaoli Liu, Jinzhu Yang, Osmar R. Zaïane
Co-training with High-Confidence Pseudo Labels for Semi-supervised Medical Image Segmentation. IJCAI (2023)
Jiahong Chen, Yuefeng Zhao, Zhihao Feng, Nan Zhang, Yanxuan Wang, Zhiqiang Shen, Zongmin Kang, Qingsong Li
Effects of Temperature and Humidity on the Absorption Spectrum and Concentration of N2O Using an Open-Path Sensor System. Remote. Sens. 15 (22) (2023)
Xiaoxiao Sheng, Kunchang Li, Zhiqiang Shen, Gang Xiao
A Progressive Difference Method for Capturing Visual Tempos on Action Recognition. IEEE Trans. Circuits Syst. Video Technol. 33 (3) (2023)
Zhiqiu Xu, Yanjie Chen, Kirill Vishniakov, Yida Yin, Zhiqiang Shen, Trevor Darrell, Lingjie Liu, Zhuang Liu
Initializing Models with Larger Ones. CoRR (2023)
Zhiqiang Shen, Xiaoxiao Sheng, Hehe Fan, Longguang Wang, Yulan Guo, Qiong Liu, Hao Wen, Xi Zhou
Masked Spatio-Temporal Structure Prediction for Self-supervised Learning on Point Cloud Videos. CoRR (2023)
Zhuang Liu, Zhiqiu Xu, Joseph Jin, Zhiqiang Shen, Trevor Darrell
Dropout Reduces Underfitting. CoRR (2023)
Lin Pan, Zhaopei Li, Zhiqiang Shen, Zheng Liu, Liqin Huang, Mingjing Yang, Bin Zheng, Taidui Zeng, Shaohua Zheng
Learning multi-view and centerline topology connectivity information for pulmonary artery-vein separation. Comput. Biol. Medicine 155 (2023)
Xiaoxiao Sheng, Zhiqiang Shen, Gang Xiao
Contrastive Predictive Autoencoders for Dynamic Point Cloud Self-Supervised Learning. AAAI (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)
Sheng Zhang, Muzammal Naseer, Guangyi Chen, Zhiqiang Shen, Salman H. Khan, Kun Zhang, Fahad Shahbaz Khan
Towards Realistic Zero-Shot Classification via Self Structural Semantic Alignment. CoRR (2023)
Xijie Huang, Zhiqiang Shen, Kwang-Ting Cheng
Variation-aware Vision Transformer Quantization. CoRR (2023)
Zeyuan Yin, Eric P. Xing, Zhiqiang Shen
Squeeze, Recover and Relabel: Dataset Condensation at ImageNet Scale From A New Perspective. CoRR (2023)
Zhiqiang Shen, Peng Cao, Hua Yang, Xiaoli Liu, Jinzhu Yang, Osmar R. Zaïane
Co-training with High-Confidence Pseudo Labels for Semi-supervised Medical Image Segmentation. CoRR (2023)
Sondos Mahmoud Bsharat, Aidar Myrzakhan, Zhiqiang Shen
Principled Instructions Are All You Need for Questioning LLaMA-1/2, GPT-3.5/4. CoRR (2023)
Rocktim Jyoti Das, Liqun Ma, Zhiqiang Shen
Beyond Size: How Gradients Shape Pruning Decisions in Large Language Models. CoRR (2023)
Xiaoxiao Sheng, Zhiqiang Shen, Gang Xiao
Contrastive Predictive Autoencoders for Dynamic Point Cloud Self-Supervised Learning. CoRR (2023)
Zhiqiang Shen, Xiaoxiao Sheng, Longguang Wang, Yulan Guo, Qiong Liu, Xi Zhou
PointCMP: Contrastive Mask Prediction for Self-supervised Learning on Point Cloud Videos. CVPR (2023)
Zeyuan Yin, Zhiqiang Shen
Dataset Distillation in Large Data Era. CoRR (2023)
Xiaoxiao Sheng, Zhiqiang Shen, Gang Xiao, Longguang Wang, Yulan Guo, Hehe Fan
Point Contrastive Prediction with Semantic Clustering for Self-Supervised Learning on Point Cloud Videos. CoRR (2023)
Zhiqiang Shen, Xiaoxiao Sheng, Longguang Wang, Yulan Guo, Qiong Liu, Xi Zhou
PointCMP: Contrastive Mask Prediction for Self-supervised Learning on Point Cloud Videos. CoRR (2023)
Zhengzhong Liu, Aurick Qiao, Willie Neiswanger, Hongyi Wang, Bowen Tan, Tianhua Tao, Junbo Li, Yuqi Wang, Suqi Sun, Omkar Pangarkar, Richard Fan, Yi Gu, Victor Miller, Yonghao Zhuang, Guowei He, Haonan Li, Fajri Koto, Liping Tang, Nikhil Ranjan, Zhiqiang Shen, Xuguang Ren, Roberto Iriondo, Cun Mu, Zhiting Hu, Mark Schulze, Preslav Nakov, Tim Baldwin, Eric P. Xing
LLM360: Towards Fully Transparent Open-Source LLMs. CoRR (2023)
Kirill Vishniakov, Zhiqiang Shen, Zhuang Liu
ConvNet vs Transformer, Supervised vs CLIP: Beyond ImageNet Accuracy. CoRR (2023)
Shitong Shao, Zeyuan Yin, Muxin Zhou, Xindong Zhang, Zhiqiang Shen
Generalized Large-Scale Data Condensation via Various Backbone and Statistical Matching. CoRR (2023)
Zhiqiang Shen, Peng Cao, Jinzhu Yang, Osmar R. Zaïane
WS-LungNet: A two-stage weakly-supervised lung cancer detection and diagnosis network. Comput. Biol. Medicine 154 (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)
Xiaoxiao Sheng, Zhiqiang Shen, Gang Xiao, Longguang Wang, Yulan Guo, Hehe Fan
Point Contrastive Prediction with Semantic Clustering for Self-Supervised Learning on Point Cloud Videos. ICCV (2023)
Sheng Zhang, Salman H. Khan, Zhiqiang Shen, Muzammal Naseer, Guangyi Chen, Fahad Shahbaz Khan
PromptCAL: Contrastive Affinity Learning via Auxiliary Prompts for Generalized Novel Category Discovery. CVPR (2023)
Zhiqiang Shen, Eric P. Xing
A Fast Knowledge Distillation Framework for Visual Recognition. ECCV (24) (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. CVPR (2022)
Zhiqiang Shen, Zechun Liu, Eric P. Xing
Sliced Recursive Transformer. ECCV (24) (2022)
Xijie Huang, Zhiqiang Shen, Shichao Li, Zechun Liu, Xianghong Hu, Jeffry Wicaksana, Eric P. Xing, Kwang-Ting Cheng
SDQ: Stochastic Differentiable Quantization with Mixed Precision. ICML (2022)
Kirill Vishniakov, Eric P. Xing, Zhiqiang Shen
MixMask: Revisiting Masked Siamese Self-supervised Learning in Asymmetric Distance. CoRR (2022)
Xijie Huang, Zhiqiang Shen, Shichao Li, Zechun Liu, Xianghong Hu, Jeffry Wicaksana, Eric P. Xing, Kwang-Ting Cheng
SDQ: Stochastic Differentiable Quantization with Mixed Precision. CoRR (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)
Zechun Liu, Kwang-Ting Cheng, Dong Huang, Eric P. Xing, Zhiqiang Shen
Nonuniform-to-Uniform Quantization: Towards Accurate Quantization via Generalized Straight-Through Estimation. CVPR (2022)
Shichao Li, Zechun Liu, Zhiqiang Shen, Kwang-Ting Cheng
Stereo Neural Vernier Caliper. CoRR (2022)
Kevin Zhang, Zhiqiang Shen
i-MAE: Are Latent Representations in Masked Autoencoders Linearly Separable? CoRR (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)
Shichao Li, Zechun Liu, Zhiqiang Shen, Kwang-Ting Cheng
Stereo Neural Vernier Caliper. AAAI (2022)
Zechun Liu, Zhiqiang Shen, Yun Long, Eric P. Xing, Kwang-Ting Cheng, Chas Leichner
Data-Free Neural Architecture Search via Recursive Label Calibration. ECCV (24) (2022)
Sheng Zhang, Salman Khan, Zhiqiang Shen, Muzammal Naseer, Guangyi Chen, Fahad Khan
PromptCAL: Contrastive Affinity Learning via Auxiliary Prompts for Generalized Novel Category Discovery. CoRR (2022)
Zhiqiang Shen, Zechun Liu, Dejia Xu, Zitian Chen, Kwang-Ting Cheng, Marios Savvides
Is Label Smoothing Truly Incompatible with Knowledge Distillation: An Empirical Study. CoRR (2021)
Zhaopei Li, Zhiqiang Shen, Jianhui Wen, Tian He, Lin Pan
Automatic Brain Tumor Segmentation Using Multi-scale Features and Attention Mechanism. BrainLes@MICCAI (1) (2021)
Zhiqiang Shen, Zechun Liu, Eric P. Xing
Sliced Recursive Transformer. CoRR (2021)
Zechun Liu, Kwang-Ting Cheng, Dong Huang, Eric P. Xing, Zhiqiang Shen
Nonuniform-to-Uniform Quantization: Towards Accurate Quantization via Generalized Straight-Through Estimation. CoRR (2021)
Zhiqiang Shen, Mingyang Huang, Jianping Shi, Zechun Liu, Harsh Maheshwari, Yutong Zheng, Xiangyang Xue, Marios Savvides, Thomas S. Huang
CDTD: A Large-Scale Cross-Domain Benchmark for Instance-Level Image-to-Image Translation and Domain Adaptive Object Detection. Int. J. Comput. Vis. 129 (3) (2021)
Zhiqiang Shen, Hua Yang, Zhen Zhang, Shaohua Zheng
Automated Kidney Tumor Segmentation with Convolution and Transformer Network. KiTS@MICCAI (2021)
Shentong Mo, Xi Fu, Chenyang Hong, Yizhen Chen, Yuxuan Zheng, Xiangru Tang, Zhiqiang Shen, Eric P. Xing, Yanyan Lan
Multi-modal Self-supervised Pre-training for Regulatory Genome Across Cell Types. CoRR (2021)
Zhiqiang Shen, Eric P. Xing
A Fast Knowledge Distillation Framework for Visual Recognition. CoRR (2021)
Shaohua Zheng, Zhiqiang Shen, Chenhao Pei, Wangbin Ding, Haojin Lin, Jiepeng Zheng, Lin Pan, Bin Zheng, Liqin Huang
Interpretative Computer-aided Lung Cancer Diagnosis: from Radiology Analysis to Malignancy Evaluation. CoRR (2021)
Zhiqiang Shen, Zechun Liu, Dejia Xu, Zitian Chen, Kwang-Ting Cheng, Marios Savvides
Is Label Smoothing Truly Incompatible with Knowledge Distillation: An Empirical Study. ICLR (2021)
Yutong Zheng, Yu-Kai Huang, Ran Tao, Zhiqiang Shen, Marios Savvides
Unsupervised Disentanglement of Linear-Encoded Facial Semantics. CoRR (2021)
Shaohua Zheng, Weiyu Nie, Lin Pan, Bin Zheng, Zhiqiang Shen, Liqin Huang, Chenhao Pei, Yuhang She, Liuqing Chen
A dual-attention V-network for pulmonary lobe segmentation in CT scans. IET Image Process. 15 (8) (2021)
Tianlong Chen, Zhenyu Zhang, Xu Ouyang, Zechun Liu, Zhiqiang Shen, Zhangyang Wang
"BNN - BN = ?": Training Binary Neural Networks without Batch Normalization. CoRR (2021)
Mengshi Qi, Jie Qin, Di Huang, Zhiqiang Shen, Yi Yang, Jiebo Luo
Latent Memory-augmented Graph Transformer for Visual Storytelling. ACM Multimedia (2021)
Zechun Liu, Zhiqiang Shen, Shichao Li, Koen Helwegen, Dong Huang, Kwang-Ting Cheng
How Do Adam and Training Strategies Help BNNs Optimization? CoRR (2021)
Chenchen Zhu, Fangyi Chen, Uzair Ahmed, Zhiqiang Shen, Marios Savvides
Semantic Relation Reasoning for Shot-Stable Few-Shot Object Detection. CoRR (2021)
Zhiqiang Shen, Zechun Liu, Jie Qin, Marios Savvides, Kwang-Ting Cheng
Partial Is Better Than All: Revisiting Fine-tuning Strategy for Few-shot Learning. AAAI (2021)
Zhiqiang Shen, Chaonan Lin, Shaohua Zheng
COTR: Convolution in Transformer Network for End to End Polyp Detection. CoRR (2021)
Hua Yang, Zhiqiang Shen, Zhaopei Li, Jinqing Liu, Jinchao Xiao
Combining Global Information with Topological Prior for Brain Tumor Segmentation. BrainLes@MICCAI (1) (2021)
Zhiqiang Shen, Zechun Liu, Jie Qin, Lei Huang, Kwang-Ting Cheng, Marios Savvides
S2-BNN: Bridging the Gap Between Self-Supervised Real and 1-Bit Neural Networks via Guided Distribution Calibration. CVPR (2021)
Shaohua Zheng, Zhiqiang Shen, Chenhao Pei, Wangbin Ding, Haojin Lin, Jiepeng Zheng, Lin Pan, Bin Zheng, Liqin Huang
Interpretative computer-aided lung cancer diagnosis: From radiology analysis to malignancy evaluation. Comput. Methods Programs Biomed. 210 (2021)
Chenchen Zhu, Fangyi Chen, Uzair Ahmed, Zhiqiang Shen, Marios Savvides
Semantic Relation Reasoning for Shot-Stable Few-Shot Object Detection. CVPR (2021)
Zechun Liu, Zhiqiang Shen, Yun Long, Eric P. Xing, Kwang-Ting Cheng, Chas Leichner
Data-Free Neural Architecture Search via Recursive Label Calibration. CoRR (2021)
Zechun Liu, Zhiqiang Shen, Shichao Li, Koen Helwegen, Dong Huang, Kwang-Ting Cheng
How Do Adam and Training Strategies Help BNNs Optimization. ICML (2021)
Kai Hu, Jie Shao, Yuan Liu, Bhiksha Raj, Marios Savvides, Zhiqiang Shen
Contrast and Order Representations for Video Self-supervised Learning. ICCV (2021)
Tianlong Chen, Zhenyu Zhang, Xu Ouyang, Zechun Liu, Zhiqiang Shen, Zhangyang Wang
"BNN - BN = ?": Training Binary Neural Networks Without Batch Normalization. CVPR Workshops (2021)
Zhiqiang Shen, Zechun Liu, Jie Qin, Marios Savvides, Kwang-Ting Cheng
Partial Is Better Than All: Revisiting Fine-tuning Strategy for Few-shot Learning. CoRR (2021)
Zechun Liu, Xiangyu Zhang, Zhiqiang Shen, Yichen Wei, Kwang-Ting Cheng, Jian Sun
Joint Multi-Dimension Pruning via Numerical Gradient Update. IEEE Trans. Image Process. 30 (2021)
Yutong Zheng, Yu-Kai Huang, Ran Tao, Zhiqiang Shen, Marios Savvides
Unsupervised Disentanglement of Linear-Encoded Facial Semantics. CVPR (2021)
Ellen Yi-Ge, Rui Fan, Zechun Liu, Zhiqiang Shen
Conditional Link Prediction of Category-Implicit Keypoint Detection. WACV (2021)
Jianhui Wen, Zhaopei Li, Zhiqiang Shen, Yaoyong Zheng, Shaohua Zheng
Squeeze-and-Excitation Encoder-Decoder Network for Kidney and Kidney Tumor Segmentation in CT Images. KiTS@MICCAI (2021)
Zhiqiang Shen, Zechun Liu, Jie Qin, Lei Huang, Kwang-Ting Cheng, Marios Savvides
S2-BNN: Bridging the Gap Between Self-Supervised Real and 1-bit Neural Networks via Guided Distribution Calibration. CoRR (2021)
Han Zhang, Fangyi Chen, Zhiqiang Shen, Qiqi Hao, Chenchen Zhu, Marios Savvides
Solving Missing-Annotation Object Detection with Background Recalibration Loss. ICASSP (2020)
Hai Phan, Zechun Liu, Dang Huynh, Marios Savvides, Kwang-Ting Cheng, Zhiqiang Shen
Binarizing MobileNet via Evolution-based Searching. CoRR (2020)

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Publication Activity (10 Years)

Top Topics

Top Venues

Zhiqiang Shen