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Zhiqiang Shen
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2020 – today
- 2024
- [j16]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: 1209-1213 (2024) - [c54]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: 7278-7286 - [c53]Zhiqiu Xu, Yanjie Chen, Kirill Vishniakov, Yida Yin, Zhiqiang Shen, Trevor Darrell, Lingjie Liu, Zhuang Liu:
Initializing Models with Larger Ones. ICLR 2024 - [c52]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: 4273-4280 - [i80]Shitong Shao, Zhiqiang Shen, Linrui Gong, Huanran Chen, Xu Dai:
Precise Knowledge Transfer via Flow Matching. CoRR abs/2402.02012 (2024) - [i79]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 abs/2403.06166 (2024) - [i78]Muxin Zhou, Zeyuan Yin, Shitong Shao, Zhiqiang Shen:
Self-supervised Dataset Distillation: A Good Compression Is All You Need. CoRR abs/2404.07976 (2024) - [i77]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 abs/2404.11121 (2024) - [i76]Shitong Shao, Zikai Zhou, Huanran Chen, Zhiqiang Shen:
Elucidating the Design Space of Dataset Condensation. CoRR abs/2404.13733 (2024) - [i75]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 abs/2405.09113 (2024) - [i74]Zhiqiang Shen, Peng Cao, Junming Su, Jinzhu Yang, Osmar R. Zaïane:
Rethinking Barely-Supervised Segmentation from an Unsupervised Domain Adaptation Perspective. CoRR abs/2405.09777 (2024) - [i73]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 abs/2405.12786 (2024) - [i72]Aidar Myrzakhan, Sondos Mahmoud Bsharat, Zhiqiang Shen:
Open-LLM-Leaderboard: From Multi-choice to Open-style Questions for LLMs Evaluation, Benchmark, and Arena. CoRR abs/2406.07545 (2024) - [i71]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 abs/2406.20098 (2024) - [i70]Junming Su, Zhiqiang Shen, Peng Cao, Jinzhu Yang, Osmar R. Zaïane:
Self-Paced Sample Selection for Barely-Supervised Medical Image Segmentation. CoRR abs/2407.05248 (2024) - [i69]Liqun Ma, Mingjie Sun, Zhiqiang Shen:
FBI-LLM: Scaling Up Fully Binarized LLMs from Scratch via Autoregressive Distillation. CoRR abs/2407.07093 (2024) - [i68]Tianjun Yao, Yongqiang Chen, Zhenhao Chen, Kai Hu, Zhiqiang Shen, Kun Zhang:
Empowering Graph Invariance Learning with Deep Spurious Infomax. CoRR abs/2407.11083 (2024) - [i67]Zhiqiang Shen, Peng Cao, Junming Su, Jinzhu Yang, Osmar R. Zaïane:
Adaptive Mix for Semi-Supervised Medical Image Segmentation. CoRR abs/2407.21586 (2024) - 2023
- [j15]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: 106587 (2023) - [j14]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: 106669 (2023) - [j13]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): 3032-3046 (2023) - [j12]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): 5390 (2023) - [j11]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): 977-987 (2023) - [c51]Xiaoxiao Sheng, Zhiqiang Shen, Gang Xiao:
Contrastive Predictive Autoencoders for Dynamic Point Cloud Self-Supervised Learning. AAAI 2023: 9802-9810 - [c50]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: 1212-1222 - [c49]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: 3479-3488 - [c48]Zhiqiang Shen:
FerKD: Surgical Label Adaptation for Efficient Distillation. ICCV 2023: 1666-1675 - [c47]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: 16469-16478 - [c46]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: 16534-16543 - [c45]Rishabh Tiwari, Arnav Chavan, Deepak K. 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: 1526-1535 - [c44]Zhuang Liu, Zhiqiu Xu, Joseph Jin, Zhiqiang Shen, Trevor Darrell:
Dropout Reduces Underfitting. ICML 2023: 22233-22248 - [c43]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: 4199-4207 - [c42]Zeyuan Yin, Eric P. Xing, Zhiqiang Shen:
Squeeze, Recover and Relabel: Dataset Condensation at ImageNet Scale From A New Perspective. NeurIPS 2023 - [i66]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 abs/2301.04465 (2023) - [i65]Zhuang Liu, Zhiqiu Xu, Joseph Jin, Zhiqiang Shen, Trevor Darrell:
Dropout Reduces Underfitting. CoRR abs/2303.01500 (2023) - [i64]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 abs/2305.04075 (2023) - [i63]Xiaoxiao Sheng, Zhiqiang Shen, Gang Xiao:
Contrastive Predictive Autoencoders for Dynamic Point Cloud Self-Supervised Learning. CoRR abs/2305.12959 (2023) - [i62]Arnav Chavan, Zhuang Liu, Deepak K. Gupta, Eric P. Xing, Zhiqiang Shen:
One-for-All: Generalized LoRA for Parameter-Efficient Fine-tuning. CoRR abs/2306.07967 (2023) - [i61]Zeyuan Yin, Eric P. Xing, Zhiqiang Shen:
Squeeze, Recover and Relabel: Dataset Condensation at ImageNet Scale From A New Perspective. CoRR abs/2306.13092 (2023) - [i60]Xijie Huang, Zhiqiang Shen, Kwang-Ting Cheng:
Variation-aware Vision Transformer Quantization. CoRR abs/2307.00331 (2023) - [i59]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 abs/2308.09245 (2023) - [i58]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 abs/2308.09247 (2023) - [i57]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 abs/2308.12960 (2023) - [i56]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 abs/2309.10818 (2023) - [i55]Rocktim Jyoti Das, Liqun Ma, Zhiqiang Shen:
Beyond Size: How Gradients Shape Pruning Decisions in Large Language Models. CoRR abs/2311.04902 (2023) - [i54]Kirill Vishniakov, Zhiqiang Shen, Zhuang Liu:
ConvNet vs Transformer, Supervised vs CLIP: Beyond ImageNet Accuracy. CoRR abs/2311.09215 (2023) - [i53]Shitong Shao, Zeyuan Yin, Muxin Zhou, Xindong Zhang, Zhiqiang Shen:
Generalized Large-Scale Data Condensation via Various Backbone and Statistical Matching. CoRR abs/2311.17950 (2023) - [i52]Zhiqiu Xu, Yanjie Chen, Kirill Vishniakov, Yida Yin, Zhiqiang Shen, Trevor Darrell, Lingjie Liu, Zhuang Liu:
Initializing Models with Larger Ones. CoRR abs/2311.18823 (2023) - [i51]Zeyuan Yin, Zhiqiang Shen:
Dataset Distillation in Large Data Era. CoRR abs/2311.18838 (2023) - [i50]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 abs/2312.06550 (2023) - [i49]Sondos Mahmoud Bsharat, Aidar Myrzakhan, Zhiqiang Shen:
Principled Instructions Are All You Need for Questioning LLaMA-1/2, GPT-3.5/4. CoRR abs/2312.16171 (2023) - [i48]Zhiqiang Shen:
FerKD: Surgical Label Adaptation for Efficient Distillation. CoRR abs/2312.17473 (2023) - 2022
- [c41]Shichao Li
, Zechun Liu, Zhiqiang Shen, Kwang-Ting Cheng:
Stereo Neural Vernier Caliper. AAAI 2022: 1376-1385 - [c40]Zhiqiang Shen, Zechun Liu, Zhuang Liu, Marios Savvides, Trevor Darrell, Eric Poe Xing:
Un-mix: Rethinking Image Mixtures for Unsupervised Visual Representation Learning. AAAI 2022: 2216-2224 - [c39]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: 4921-4931 - [c38]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: 4932-4942 - [c37]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: 391-406 - [c36]Zhiqiang Shen, Eric P. Xing:
A Fast Knowledge Distillation Framework for Visual Recognition. ECCV (24) 2022: 673-690 - [c35]Zhiqiang Shen, Zechun Liu, Eric P. Xing:
Sliced Recursive Transformer. ECCV (24) 2022: 727-744 - [c34]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: 9295-9309 - [i47]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 abs/2201.00814 (2022) - [i46]Shichao Li, Zechun Liu, Zhiqiang Shen, Kwang-Ting Cheng:
Stereo Neural Vernier Caliper. CoRR abs/2203.11018 (2022) - [i45]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 abs/2206.04459 (2022) - [i44]Kirill Vishniakov, Eric P. Xing, Zhiqiang Shen:
MixMask: Revisiting Masked Siamese Self-supervised Learning in Asymmetric Distance. CoRR abs/2210.11456 (2022) - [i43]Kevin Zhang, Zhiqiang Shen:
i-MAE: Are Latent Representations in Masked Autoencoders Linearly Separable? CoRR abs/2210.11470 (2022) - [i42]Sheng Zhang, Salman Khan, Zhiqiang Shen, Muzammal Naseer, Guangyi Chen
, Fahad Shahbaz Khan:
PromptCAL: Contrastive Affinity Learning via Auxiliary Prompts for Generalized Novel Category Discovery. CoRR abs/2212.05590 (2022) - 2021
- [j10]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: 106363 (2021) - [j9]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): 1644-1654 (2021) - [j8]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): 761-780 (2021) - [j7]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: 8034-8045 (2021) - [c33]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: 9594-9602 - [c32]Hua Yang, Zhiqiang Shen, Zhaopei Li, Jinqing Liu, Jinchao Xiao:
Combining Global Information with Topological Prior for Brain Tumor Segmentation. BrainLes@MICCAI (1) 2021: 204-215 - [c31]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: 216-226 - [c30]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: 2165-2174 - [c29]Yutong Zheng, Yu-Kai Huang, Ran Tao, Zhiqiang Shen, Marios Savvides:
Unsupervised Disentanglement of Linear-Encoded Facial Semantics. CVPR 2021: 3917-3926 - [c28]Tianlong Chen, Zhenyu Zhang, Xu Ouyang, Zechun Liu, Zhiqiang Shen, Zhangyang Wang:
"BNN - BN = ?": Training Binary Neural Networks Without Batch Normalization. CVPR Workshops 2021: 4619-4629 - [c27]Chenchen Zhu, Fangyi Chen, Uzair Ahmed, Zhiqiang Shen, Marios Savvides:
Semantic Relation Reasoning for Shot-Stable Few-Shot Object Detection. CVPR 2021: 8782-8791 - [c26]Kai Hu, Jie Shao, Yuan Liu, Bhiksha Raj, Marios Savvides, Zhiqiang Shen:
Contrast and Order Representations for Video Self-supervised Learning. ICCV 2021: 7919-7929 - [c25]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 - [c24]Zechun Liu, Zhiqiang Shen, Shichao Li, Koen Helwegen, Dong Huang, Kwang-Ting Cheng:
How Do Adam and Training Strategies Help BNNs Optimization. ICML 2021: 6936-6946 - [c23]Zhiqiang Shen, Hua Yang, Zhen Zhang, Shaohua Zheng:
Automated Kidney Tumor Segmentation with Convolution and Transformer Network. KiTS@MICCAI 2021: 1-12 - [c22]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: 71-79 - [c21]Mengshi Qi, Jie Qin, Di Huang, Zhiqiang Shen, Yi Yang, Jiebo Luo
:
Latent Memory-augmented Graph Transformer for Visual Storytelling. ACM Multimedia 2021: 4892-4901 - [c20]Ellen Yi-Ge, Rui Fan, Zechun Liu, Zhiqiang Shen:
Conditional Link Prediction of Category-Implicit Keypoint Detection. WACV 2021: 3439-3448 - [i41]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 abs/2102.03983 (2021) - [i40]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 abs/2102.08946 (2021) - [i39]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 abs/2102.10919 (2021) - [i38]Chenchen Zhu, Fangyi Chen, Uzair Ahmed, Zhiqiang Shen, Marios Savvides:
Semantic Relation Reasoning for Shot-Stable Few-Shot Object Detection. CoRR abs/2103.01903 (2021) - [i37]Yutong Zheng, Yu-Kai Huang, Ran Tao, Zhiqiang Shen, Marios Savvides:
Unsupervised Disentanglement of Linear-Encoded Facial Semantics. CoRR abs/2103.16605 (2021) - [i36]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 abs/2104.00676 (2021) - [i35]Tianlong Chen, Zhenyu Zhang, Xu Ouyang, Zechun Liu, Zhiqiang Shen, Zhangyang Wang:
"BNN - BN = ?": Training Binary Neural Networks without Batch Normalization. CoRR abs/2104.08215 (2021) - [i34]Zhiqiang Shen, Chaonan Lin, Shaohua Zheng:
COTR: Convolution in Transformer Network for End to End Polyp Detection. CoRR abs/2105.10925 (2021) - [i33]Zechun Liu, Zhiqiang Shen, Shichao Li, Koen Helwegen, Dong Huang, Kwang-Ting Cheng:
How Do Adam and Training Strategies Help BNNs Optimization? CoRR abs/2106.11309 (2021) - [i32]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 abs/2110.05231 (2021) - [i31]Zhiqiang Shen, Zechun Liu, Eric P. Xing:
Sliced Recursive Transformer. CoRR abs/2111.05297 (2021) - [i30]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 abs/2111.14826 (2021) - [i29]Zhiqiang Shen, Eric P. Xing:
A Fast Knowledge Distillation Framework for Visual Recognition. CoRR abs/2112.01528 (2021) - [i28]Zechun Liu, Zhiqiang Shen, Yun Long, Eric P. Xing, Kwang-Ting Cheng, Chas Leichner:
Data-Free Neural Architecture Search via Recursive Label Calibration. CoRR abs/2112.02086 (2021) - 2020
- [j6]Huilin Ye, Zhiqiang Shen, Weikang Xian, Teng Zhang, Shan Tang, Ying Li
:
OpenFSI: A highly efficient and portable fluid-structure simulation package based on immersed-boundary method. Comput. Phys. Commun. 256: 107463 (2020) - [j5]Fangyi Chen, Chenchen Zhu, Zhiqiang Shen, Han Zhang, Marios Savvides:
NCMS: Towards accurate anchor free object detection through ℓ2 norm calibration and multi-feature selection. Comput. Vis. Image Underst. 200: 103050 (2020) - [j4]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): 398-412 (2020) - [c19]Hai Phan, Zechun Liu, Dang Huynh, Marios Savvides, Kwang-Ting Cheng
, Zhiqiang Shen:
Binarizing MobileNet via Evolution-Based Searching. CVPR 2020: 13417-13426 - [c18]Devesh Walawalkar, Zhiqiang Shen, Marios Savvides:
Online Ensemble Model Compression Using Knowledge Distillation. ECCV (19) 2020: 18-35 - [c17]Chenchen Zhu, Fangyi Chen, Zhiqiang Shen, Marios Savvides:
Soft Anchor-Point Object Detection. ECCV (9) 2020: 91-107 - [c16]Zechun Liu, Zhiqiang Shen, Marios Savvides, Kwang-Ting Cheng
:
ReActNet: Towards Precise Binary Neural Network with Generalized Activation Functions. ECCV (14) 2020: 143-159 - [c15]Han Zhang, Fangyi Chen, Zhiqiang Shen, Qiqi Hao, Chenchen Zhu, Marios Savvides:
Solving Missing-Annotation Object Detection with Background Recalibration Loss. ICASSP 2020: 1888-1892 - [c14]Devesh Walawalkar, Zhiqiang Shen, Zechun Liu, Marios Savvides:
Attentive Cutmix: An Enhanced Data Augmentation Approach for Deep Learning Based Image Classification. ICASSP 2020: 3642-3646 - [c13]Hai Phan, Dang Huynh, Yihui He, Marios Savvides, Zhiqiang Shen:
MoBiNet: A Mobile Binary Network for Image Classification. WACV 2020: 3442-3451 - [i27]Han Zhang, Fangyi Chen, Zhiqiang Shen, Qiqi Hao, Chenchen Zhu, Marios Savvides:
Solving Missing-Annotation Object Detection with Background Recalibration Loss. CoRR abs/2002.05274 (2020) - [i26]Zechun Liu, Zhiqiang Shen, Marios Savvides, Kwang-Ting Cheng:
ReActNet: Towards Precise Binary Neural Network with Generalized Activation Functions. CoRR abs/2003.03488 (2020) - [i25]Zhiqiang Shen, Zechun Liu, Zhuang Liu, Marios Savvides, Trevor Darrell:
Rethinking Image Mixture for Unsupervised Visual Representation Learning. CoRR abs/2003.05438 (2020) - [i24]Devesh Walawalkar, Zhiqiang Shen, Zechun Liu, Marios Savvides:
Attentive CutMix: An Enhanced Data Augmentation Approach for Deep Learning Based Image Classification. CoRR abs/2003.13048 (2020) - [i23]Hai Phan, Zechun Liu, Dang Huynh, Marios Savvides, Kwang-Ting Cheng, Zhiqiang Shen:
Binarizing MobileNet via Evolution-based Searching. CoRR abs/2005.06305 (2020) - [i22]Zechun Liu, Xiangyu Zhang, Zhiqiang Shen, Zhe Li, Yichen Wei, Kwang-Ting Cheng, Jian Sun:
Joint Multi-Dimension Pruning. CoRR abs/2005.08931 (2020) - [i21]Zitian Chen, Zhiqiang Shen, Jiahui Yu, Erik G. Learned-Miller:
Cross-Supervised Object Detection. CoRR abs/2006.15056 (2020) - [i20]Hang Yang, Shan Jiang, Xinge Zhu, Mingyang Huang, Zhiqiang Shen, Chunxiao Liu, Jianping Shi:
Channel-wise Alignment for Adaptive Object Detection. CoRR abs/2009.02862 (2020) - [i19]Zhiqiang Shen, Marios Savvides:
MEAL V2: Boosting Vanilla ResNet-50 to 80%+ Top-1 Accuracy on ImageNet without Tricks. CoRR abs/2009.08453 (2020) - [i18]Devesh Walawalkar, Zhiqiang Shen, Marios Savvides:
Online Ensemble Model Compression using Knowledge Distillation. CoRR abs/2011.07449 (2020) - [i17]Ellen Yi-Ge, Rui Fan, Zechun Liu, Zhiqiang Shen:
Conditional Link Prediction of Category-Implicit Keypoint Detection. CoRR abs/2011.14462 (2020)
2010 – 2019
- 2019
- [c12]Zhiqiang Shen, Zhankui He, Xiangyang Xue:
MEAL: Multi-Model Ensemble via Adversarial Learning. AAAI 2019: 4886-4893 - [c11]Shanjing Chen, Zongsheng Zhang, Qing Kang, Zhiqiang Shen, Ruochong Zhou, Guopu Ma:
Landslide Detection Leveraging Spectral-Spatial Correlation Fusion in Aerospace Remote Sensing. BigCom 2019: 187-194 - [c10]Zhiqiang Shen, Honghui Shi, Jiahui Yu, Hai Phan, Rogério Feris, Liangliang Cao, Ding Liu, Xinchao Wang, Thomas S. Huang, Marios Savvides:
Improving Object Detection from Scratch via Gated Feature Reuse. BMVC 2019: 247 - [c9]Zhiqiang Shen, Mingyang Huang, Jianping Shi, Xiangyang Xue, Thomas S. Huang:
Towards Instance-Level Image-To-Image Translation. CVPR 2019: 3683-3692 - [c8]Wanyun Cui, Guangyu Zheng, Zhiqiang Shen, Sihang Jiang, Wei Wang:
Transfer Learning for Sequences via Learning to Collocate. ICLR (Poster) 2019 - [i16]Wanyun Cui, Guangyu Zheng, Zhiqiang Shen, Sihang Jiang, Wei Wang:
Transfer Learning for Sequences via Learning to Collocate. CoRR abs/1902.09092 (2019) - [i15]Zhiqiang Shen, Mingyang Huang, Jianping Shi, Xiangyang Xue, Thomas S. Huang:
Towards Instance-level Image-to-Image Translation. CoRR abs/1905.01744 (2019) - [i14]Hai Phan, Dang Huynh, Yihui He, Marios Savvides, Zhiqiang Shen:
MoBiNet: A Mobile Binary Network for Image Classification. CoRR abs/1907.12629 (2019) - [i13]Zhiqiang Shen, Zhankui He, Wanyun Cui, Jiahui Yu, Yutong Zheng, Chenchen Zhu, Marios Savvides:
Adversarial-Based Knowledge Distillation for Multi-Model Ensemble and Noisy Data Refinement. CoRR abs/1908.08520 (2019) - [i12]Zhuang Liu, Tinghui Zhou, Zhiqiang Shen, Bingyi Kang, Trevor Darrell:
Transferable Recognition-Aware Image Processing. CoRR abs/1910.09185 (2019) - [i11]Zhiqiang Shen, Harsh Maheshwari, Weichen Yao, Marios Savvides:
SCL: Towards Accurate Domain Adaptive Object Detection via Gradient Detach Based Stacked Complementary Losses. CoRR abs/1911.02559 (2019) - [i10]Chenchen Zhu, Fangyi Chen, Zhiqiang Shen, Marios Savvides:
Soft Anchor-Point Object Detection. CoRR abs/1911.12448 (2019) - 2018
- [j3]Zhiqiang Shen
, Xin Ma
, Yibin Li:
A Hybrid 3D Descriptor With Global Structural Frames and Local Signatures of Histograms. IEEE Access 6: 39261-39272 (2018) - [c7]Yunchao Wei, Zhiqiang Shen, Bowen Cheng, Honghui Shi
, Jinjun Xiong
, Jiashi Feng, Thomas S. Huang:
TS ^2 2 C: Tight Box Mining with Surrounding Segmentation Context for Weakly Supervised Object Detection. ECCV (11) 2018: 454-470 - [c6]Zhiqiang Shen
, Xin Ma, Xianglei Zeng:
Hybrid 3D Surface Description with Global Frames and Local Signatures of Histograms. ICPR 2018: 1610-1615 - [i9]Yunchao Wei, Zhiqiang Shen, Bowen Cheng, Honghui Shi, Jinjun Xiong, Jiashi Feng, Thomas S. Huang:
TS2C: Tight Box Mining with Surrounding Segmentation Context for Weakly Supervised Object Detection. CoRR abs/1807.04897 (2018) - [i8]Zhiqiang Shen, Zhuang Liu, Jianguo Li, Yu-Gang Jiang, Yurong Chen, Xiangyang Xue:
Object Detection from Scratch with Deep Supervision. CoRR abs/1809.09294 (2018) - [i7]Zhiqiang Shen, Zhankui He, Xiangyang Xue:
MEAL: Multi-Model Ensemble via Adversarial Learning. CoRR abs/1812.02425 (2018) - 2017
- [j2]Zhiqiang Shen, Dexue Zhang
:
Symmetric difference operators on fuzzy sets. Fuzzy Sets Syst. 308: 1-26 (2017) - [c5]Zhiqiang Shen, Jianguo Li, Zhou Su, Minjun Li, Yurong Chen
, Yu-Gang Jiang, Xiangyang Xue:
Weakly Supervised Dense Video Captioning. CVPR 2017: 5159-5167 - [c4]Zhiqiang Shen, Zhuang Liu, Jianguo Li, Yu-Gang Jiang, Yurong Chen
, Xiangyang Xue:
DSOD: Learning Deeply Supervised Object Detectors from Scratch. ICCV 2017: 1937-1945 - [c3]Zhuang Liu, Jianguo Li, Zhiqiang Shen, Gao Huang, Shoumeng Yan, Changshui Zhang:
Learning Efficient Convolutional Networks through Network Slimming. ICCV 2017: 2755-2763 - [c2]Zhiqiang Shen, Yu-Gang Jiang, Dequan Wang, Xiangyang Xue:
Iterative object and part transfer for fine-grained recognition. ICME 2017: 1470-1475 - [i6]Zhiqiang Shen, Yu-Gang Jiang, Dequan Wang, Xiangyang Xue:
Iterative Object and Part Transfer for Fine-Grained Recognition. CoRR abs/1703.09983 (2017) - [i5]Zhiqiang Shen, Jianguo Li, Zhou Su, Minjun Li, Yurong Chen, Yu-Gang Jiang, Xiangyang Xue:
Weakly Supervised Dense Video Captioning. CoRR abs/1704.01502 (2017) - [i4]Zhiqiang Shen, Zhuang Liu, Jianguo Li, Yu-Gang Jiang, Yurong Chen, Xiangyang Xue:
DSOD: Learning Deeply Supervised Object Detectors from Scratch. CoRR abs/1708.01241 (2017) - [i3]Zhuang Liu, Jianguo Li, Zhiqiang Shen, Gao Huang, Shoumeng Yan, Changshui Zhang:
Learning Efficient Convolutional Networks through Network Slimming. CoRR abs/1708.06519 (2017) - [i2]Zhiqiang Shen, Honghui Shi, Rogério Schmidt Feris, Liangliang Cao, Shuicheng Yan, Ding Liu, Xinchao Wang, Xiangyang Xue, Thomas S. Huang:
Learning Object Detectors from Scratch with Gated Recurrent Feature Pyramids. CoRR abs/1712.00886 (2017) - 2015
- [c1]Dequan Wang, Zhiqiang Shen, Jie Shao, Wei Zhang, Xiangyang Xue, Zheng Zhang:
Multiple Granularity Descriptors for Fine-Grained Categorization. ICCV 2015: 2399-2406 - 2014
- [j1]Zhiqiang Shen
, Dexue Zhang
:
A note on the continuity of triangular norms. Fuzzy Sets Syst. 252: 35-38 (2014) - [i1]Zhiqiang Shen, Xiangyang Xue:
Do More Dropouts in Pool5 Feature Maps for Better Object Detection. CoRR abs/1409.6911 (2014)
Coauthor Index
![](https://dblp.uni-trier.de/img/cog.dark.24x24.png)
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