Zhiqiang Shen

229 papers A* 45A 6B 1Misc 2Journal 153Unranked 22
YearRankTypeTitle / Venue / Authors
2026 J jnl
Adaptive mix for semi-supervised medical image segmentation.
Medical Image Anal.
Zhiqiang Shen, Peng Cao, Junming Su, Jinzhu Yang, Osmar R. Zaïane
2026 J jnl
BiGain: Unified Token Compression for Joint Generation and Classification.
CoRR
Jiacheng Liu, Shengkun Tang, Jiacheng Cui, Dongkuan Xu, Zhiqiang Shen
2026 J jnl
Collaborative Learning of Augmentation and Disentanglement for Semi-Supervised Domain Generalized Medical Image Segmentation.
IEEE Trans. Medical Imaging
Zhiqiang Shen, Peng Cao, Qinghua Zhou, Jinzhu Yang, Osmar R. Zaïane
2026 J jnl
Diff-ES: Stage-wise Structural Diffusion Pruning via Evolutionary Search.
CoRR
Zongfang Liu, Shengkun Tang, Zongliang Wu, Xin Yuan, Zhiqiang Shen
2026 A* conf
Do Not Merge My Model! Safeguarding Open-Source LLMs Against Unauthorized Model Merging.
AAAI
Qinfeng Li, Miao Pan, Jintao Chen, Fu Teng, Zhiqiang Shen, Ge Su, Hao Peng, Xuhong Zhang
2026 J jnl
Duality Models: An Embarrassingly Simple One-step Generation Paradigm.
CoRR
Peng Sun, Xinyi Shang, Tao Lin, Zhiqiang Shen
2026 J jnl
EvoESAP: Non-Uniform Expert Pruning for Sparse MoE.
CoRR
Zongfang Liu, Shengkun Tang, Boyang Sun, Zhiqiang Shen, Xin Yuan
2026 J jnl
Exploring 3D Dataset Pruning.
CoRR
Xiaohan Zhao, Xinyi Shang, Jiacheng Liu, Zhiqiang Shen
2026 J jnl
Fast and Scalable Analytical Diffusion.
CoRR
Xinyi Shang, Peng Sun, Jingyu Lin, Zhiqiang Shen
2026 J jnl
From Masks to Pixels and Meaning: A New Taxonomy, Benchmark, and Metrics for VLM Image Tampering.
CoRR
Xinyi Shang, Yi Tang, Jiacheng Cui, Ahmed Elhagry, Salwa K. Al Khatib, Sondos Mahmoud Bsharat, Jiacheng Liu, Xiaohan Zhao, Jing-Hao Xue, Hao Li, Salman Khan, Zhiqiang Shen
2026 J jnl
HieraMAS: Optimizing Intra-Node LLM Mixtures and Inter-Node Topology for Multi-Agent Systems.
CoRR
Tianjun Yao, Zhaoyi Li, Zhiqiang Shen
2026 J jnl
Mobile-MMLU: A Mobile Intelligence Language Understanding Benchmark.
J. Data-centric Mach. Learn. Res.
Sondos Mahmoud Bsharat, Mukul Ranjan, Aidar Myrzakhan, Jiacheng Liu, Bowei Guo, Shengkun Tang, Zhuang Liu, Yuanzhi Li, Zhiqiang Shen
2026 J jnl
Multiscale Structure-Guided Latent Diffusion for Multimodal MRI Translation.
CoRR
Jianqiang Lin, Zhiqiang Shen, Peng Cao, Jinzhu Yang, Osmar R. Zaïane, Xiaoli Liu
2026 J jnl
Next-Gen CAPTCHAs: Leveraging the Cognitive Gap for Scalable and Diverse GUI-Agent Defense.
CoRR
Jiacheng Liu, Yaxin Luo, Jiacheng Cui, Xinyi Shang, Xiaohan Zhao, Zhiqiang Shen
2026 J jnl
ParamMem: Augmenting Language Agents with Parametric Reflective Memory.
CoRR
Tianjun Yao, Yongqiang Chen, Yujia Zheng, Pan Li, Zhiqiang Shen, Kun Zhang
2026 J jnl
Pushing the Frontier of Black-Box LVLM Attacks via Fine-Grained Detail Targeting.
CoRR
Xiaohan Zhao, Zhaoyi Li, Yaxin Luo, Jiacheng Cui, Zhiqiang Shen
2026 A* conf
RAGFort: Dual-Path Defense Against Proprietary Knowledge Base Extraction in Retrieval-Augmented Generation.
AAAI
Qinfeng Li, Miao Pan, Ke Xiong, Ge Su, Zhiqiang Shen, Yan Liu, Bing Sun, Hao Peng, Xuhong Zhang
2026 J jnl
ShapeCond: Fast Shapelet-Guided Dataset Condensation for Time Series Classification.
CoRR
Sijia Peng, Yun Xiong, Xi Chen, Yi Xie, Guanzhi Li, Yanwei Yu, Yangyong Zhu, Zhiqiang Shen
2026 J jnl
Sink-Aware Pruning for Diffusion Language Models.
CoRR
Aidar Myrzakhan, Tianyi Li, Bowei Guo, Shengkun Tang, Zhiqiang Shen
2025 J jnl
A Frustratingly Simple Yet Highly Effective Attack Baseline: Over 90% Success Rate Against the Strong Black-box Models of GPT-4.5/4o/o1.
CoRR
Zhaoyi Li, Xiaohan Zhao, Dong-Dong Wu, Jiacheng Cui, Zhiqiang Shen
2025 J jnl
A Survey on Diffusion Language Models.
CoRR
Tianyi Li, Mingda Chen, Bowei Guo, Zhiqiang Shen
2025 J jnl
Attention Is All You Need for KV Cache in Diffusion LLMs.
CoRR
Quan Nguyen-Tri, Mukul Ranjan, Zhiqiang Shen
2025 J jnl
Bi-Mamba: Towards Accurate 1-Bit State Space Model.
Trans. Mach. Learn. Res.
Shengkun Tang, Liqun Ma, Haonan Li, Mingjie Sun, Zhiqiang Shen
2025 — conf
ConStyX: Content Style Augmentation for Generalizable Medical Image Segmentation.
MICCAI (5)
Xi Chen, Zhiqiang Shen, Peng Cao, Jinzhu Yang, Osmar R. Zaïane
2025 J jnl
ConStyX: Content Style Augmentation for Generalizable Medical Image Segmentation.
CoRR
Xi Chen, Zhiqiang Shen, Peng Cao, Jinzhu Yang, Osmar R. Zaïane
2025 A* conf
DELT: A Simple Diversity-driven EarlyLate Training for Dataset Distillation.
CVPR
Zhiqiang Shen, Ammar Sherif, Zeyuan Yin, Shitong Shao
2025 — conf
DRAG: Distilling RAG for SLMs from LLMs to Transfer Knowledge and Mitigate Hallucination via Evidence and Graph-based Distillation.
ACL (1)
Jennifer Chen, Aidar Myrzakhan, Yaxin Luo, Hassaan Muhammad Khan, Sondos Mahmoud Bsharat, Zhiqiang Shen
2025 J jnl
DRAG: Distilling RAG for SLMs from LLMs to Transfer Knowledge and Mitigate Hallucination via Evidence and Graph-based Distillation.
CoRR
Jennifer Chen, Aidar Myrzakhan, Yaxin Luo, Hassaan Muhammad Khan, Sondos Mahmoud Bsharat, Zhiqiang Shen
2025 J jnl
DarwinLM: Evolutionary Structured Pruning of Large Language Models.
CoRR
Shengkun Tang, Oliver Sieberling, Eldar Kurtic, Zhiqiang Shen, Dan Alistarh
2025 J jnl
Dataset Distillation via Committee Voting.
CoRR
Jiacheng Cui, Zhaoyi Li, Xiaochen Ma, Xinyue Bi, Yaxin Luo, Zhiqiang Shen
2025 J jnl
Do Not Merge My Model! Safeguarding Open-Source LLMs Against Unauthorized Model Merging.
CoRR
Qinfeng Li, Miao Pan, Jintao Chen, Fu Teng, Zhiqiang Shen, Ge Su, Hao Peng, Xuhong Zhang
2025 J jnl
FADRM: Fast and Accurate Data Residual Matching for Dataset Distillation.
CoRR
Jiacheng Cui, Xinyue Bi, Yaxin Luo, Xiaohan Zhao, Jiacheng Liu, Zhiqiang Shen
2025 J jnl
Hard Labels In! Rethinking the Role of Hard Labels in Mitigating Local Semantic Drift.
CoRR
Jiacheng Cui, Bingkui Tong, Xinyue Bi, Xiaohan Zhao, Jiacheng Liu, Zhiqiang Shen
2025 J jnl
Human Texts Are Outliers: Detecting LLM-generated Texts via Out-of-distribution Detection.
CoRR
Cong Zeng, Shengkun Tang, Yuanzhou Chen, Zhiqiang Shen, Wenchao Yu, Xujiang Zhao, Haifeng Chen, Wei Cheng, Zhiqiang Xu
2025 — conf
KITAB-Bench: A Comprehensive Multi-Domain Benchmark for Arabic OCR and Document Understanding.
ACL (Findings)
Ahmed Heakl, Muhammad Abdullah Sohail, Mukul Ranjan, Rania Elbadry, Ghazi Shazan Ahmad, Mohamed El-Geish, Omar Maher, Zhiqiang Shen, Fahad Shahbaz Khan, Salman H. Khan
2025 J jnl
KITAB-Bench: A Comprehensive Multi-Domain Benchmark for Arabic OCR and Document Understanding.
CoRR
Ahmed Heakl, Muhammad Abdullah Sohail, Mukul Ranjan, Rania Hossam, Ghazi Ahmed, Mohamed El-Geish, Omar Maher, Zhiqiang Shen, Fahad Khan, Salman H. Khan
2025 J jnl
Knowledge Consultation for Semi-Supervised Semantic Segmentation.
CoRR
Thuan Than, Nhat-Anh Nguyen-Dang, Dung Nguyen, Salwa K. Al Khatib, Ahmed Elhagry, Hai Phan, Yihui He, Zhiqiang Shen, Marios Savvides, Dang Huynh
2025 J jnl
LLM360 K2: Building a 65B 360-Open-Source Large Language Model from Scratch.
CoRR
Zhengzhong Liu, Bowen Tan, Hongyi Wang, Willie Neiswanger, Tianhua Tao, Haonan Li, Fajri Koto, Yuqi Wang, Suqi Sun, Omkar Pangarkar, Richard Fan, Yi Gu, Victor Miller, Liqun Ma, Liping Tang, Nikhil Ranjan, Yonghao Zhuang, Guowei He, Renxi Wang, Mingkai Deng, Robin Algayres, Yuanzhi Li, Zhiqiang Shen, Preslav Nakov, Eric P. Xing
2025 J jnl
Learning Efficient and Generalizable Graph Retriever for Knowledge-Graph Question Answering.
CoRR
Tianjun Yao, Haoxuan Li, Zhiqiang Shen, Pan Li, Tongliang Liu, Kun Zhang
2025 A* conf
Learning Graph Invariance by Harnessing Spuriosity.
ICLR
Tianjun Yao, Yongqiang Chen, Kai Hu, Tongliang Liu, Kun Zhang, Zhiqiang Shen
2025 J jnl
Learning Robust Diffusion Models from Imprecise Supervision.
CoRR
Dong-Dong Wu, Jiacheng Cui, Wei Wang, Zhiqiang Shen, Masashi Sugiyama
2025 J jnl
Mobile-MMLU: A Mobile Intelligence Language Understanding Benchmark.
CoRR
Sondos Mahmoud Bsharat, Mukul Ranjan, Aidar Myrzakhan, Jiacheng Liu, Bowei Guo, Shengkun Tang, Zhuang Liu, Yuanzhi Li, Zhiqiang Shen
2025 J jnl
MosaicDiff: Training-free Structural Pruning for Diffusion Model Acceleration Reflecting Pretraining Dynamics.
CoRR
Bowei Guo, Shengkun Tang, Cong Zeng, Zhiqiang Shen
2025 J jnl
OD3: Optimization-free Dataset Distillation for Object Detection.
CoRR
Salwa K. Al Khatib, Ahmed Elhagry, Shitong Shao, Zhiqiang Shen
2025 J jnl
One Last Attention for Your Vision-Language Model.
CoRR
Liang Chen, Ghazi Shazan Ahmad, Tianjun Yao, Lingqiao Liu, Zhiqiang Shen
2025 J jnl
Open CaptchaWorld: A Comprehensive Web-based Platform for Testing and Benchmarking Multimodal LLM Agents.
CoRR
Yaxin Luo, Zhaoyi Li, Jiacheng Liu, Jiacheng Cui, Xiaohan Zhao, Zhiqiang Shen
2025 A conf
PatchSegDet: Attack-Agnostic Detection of Physical Adversarial Patches in Face Recognition Systems.
ICME
Zhiqiang Shen, Qinfeng Li, Xuhong Zhang, Yuxiang Cai, Xiaochu Chen, Ping An, Haiqin Weng, Yang Liu
2025 J jnl
Prompting Test-Time Scaling Is A Strong LLM Reasoning Data Augmentation.
CoRR
Sondos Mahmoud Bsharat, Zhiqiang Shen
2025 J jnl
Pruning Spurious Subgraphs for Graph Out-of-Distribtuion Generalization.
CoRR
Tianjun Yao, Haoxuan Li, Yongqiang Chen, Tongliang Liu, Le Song, Eric P. Xing, Zhiqiang Shen
2025 J jnl
RAGFort: Dual-Path Defense Against Proprietary Knowledge Base Extraction in Retrieval-Augmented Generation.
CoRR
Qinfeng Li, Miao Pan, Ke Xiong, Ge Su, Zhiqiang Shen, Yan Liu, Bing Sun, Hao Peng, Xuhong Zhang
2025 — conf
Semantics-Aware Patch Encoding and Hierarchical Dependency Modeling for Long-Term Time Series Forecasting.
KDD (2)
Sijia Peng, Yun Xiong, Yangyong Zhu, Zhiqiang Shen
2025 J jnl
Style Content Decomposition-based Data Augmentation for Domain Generalizable Medical Image Segmentation.
CoRR
Zhiqiang Shen, Peng Cao, Jinzhu Yang, Osmar R. Zaïane, Zhaolin Chen
2025 J jnl
SynMatch: Rethinking Consistency in Medical Image Segmentation with Sparse Annotations.
CoRR
Zhiqiang Shen, Peng Cao, Xiaoli Liu, Jinzhu Yang, Osmar R. Zaïane
2025 J jnl
Time Blindness: Why Video-Language Models Can't See What Humans Can?
CoRR
Ujjwal Upadhyay, Mukul Ranjan, Zhiqiang Shen, Mohamed Elhoseiny
2025 J jnl
Uni4D: A Unified Self-Supervised Learning Framework for Point Cloud Videos.
CoRR
Zhi Zuo, Chenyi Zhuang, Zhiqiang Shen, Pan Gao, Jie Qin
2025 J jnl
VideoMolmo: Spatio-Temporal Grounding Meets Pointing.
CoRR
Ghazi Shazan Ahmad, Ahmed Heakl, Hanan Gani, Abdelrahman M. Shaker, Zhiqiang Shen, Ranjay Krishna, Fahad Shahbaz Khan, Salman Khan
2025 A* conf
γ-MoD: Exploring Mixture-of-Depth Adaptation for Multimodal Large Language Models.
ICLR
Yaxin Luo, Gen Luo, Jiayi Ji, Yiyi Zhou, Xiaoshuai Sun, Zhiqiang Shen, Rongrong Ji
2024 J jnl
Adaptive Mix for Semi-Supervised Medical Image Segmentation.
CoRR
Zhiqiang Shen, Peng Cao, Junming Su, Jinzhu Yang, Osmar R. Zaïane
2024 J jnl
Bi-Mamba: Towards Accurate 1-Bit State Space Models.
CoRR
Shengkun Tang, Liqun Ma, Haonan Li, Mingjie Sun, Zhiqiang Shen
2024 A* conf
ConvNet vs Transformer, Supervised vs CLIP: Beyond ImageNet Accuracy.
ICML
Kirill Vishniakov, Zhiqiang Shen, Zhuang Liu
2024 J jnl
CoreGuard: Safeguarding Foundational Capabilities of LLMs Against Model Stealing in Edge Deployment.
CoRR
Qinfeng Li, Yangfan Xie, Tianyu Du, Zhiqiang Shen, ZhengHan Qin, Hao Peng, Xinkui Zhao, Xianwei Zhu, Jianwei Yin, Xuhong Zhang
2024 A* conf
Cross-Cluster Shifting for Efficient and Effective 3D Object Detection in Autonomous Driving.
ICRA
Zhili Chen, Kien T. Pham, Maosheng Ye, Zhiqiang Shen, Qifeng Chen
2024 J jnl
Cross-Cluster Shifting for Efficient and Effective 3D Object Detection in Autonomous Driving.
CoRR
Zhili Chen, Kien T. Pham, Maosheng Ye, Zhiqiang Shen, Qifeng Chen
2024 J jnl
Crystal: Illuminating LLM Abilities on Language and Code.
CoRR
Tianhua Tao, Junbo Li, Bowen Tan, Hongyi Wang, William Marshall, Bhargav Kanakiya, Joel Hestness, Natalia Vassilieva, Zhiqiang Shen, Eric P. Xing, Zhengzhong Liu
2024 J jnl
DELT: A Simple Diversity-driven EarlyLate Training for Dataset Distillation.
CoRR
Zhiqiang Shen, Ammar Sherif, Zeyuan Yin, Shitong Shao
2024 J jnl
Dataset Distillation via Curriculum Data Synthesis in Large Data Era.
Trans. Mach. Learn. Res.
Zeyuan Yin, Zhiqiang Shen
2024 A* conf
Efficient LLM Jailbreak via Adaptive Dense-to-sparse Constrained Optimization.
NeurIPS
Kai Hu, Weichen Yu, Yining Li, Tianjun Yao, Xiang Li, Wenhe Liu, Lijun Yu, Zhiqiang Shen, Kai Chen, Matt Fredrikson
2024 J jnl
Efficient LLM Jailbreak via Adaptive Dense-to-sparse Constrained Optimization.
CoRR
Kai Hu, Weichen Yu, Tianjun Yao, Xiang Li, Wenhe Liu, Lijun Yu, Yining Li, Kai Chen, Zhiqiang Shen, Matt Fredrikson
2024 A* conf
Elucidating the Design Space of Dataset Condensation.
NeurIPS
Shitong Shao, Zikai Zhou, Huanran Chen, Zhiqiang Shen
2024 J jnl
Elucidating the Design Space of Dataset Condensation.
CoRR
Shitong Shao, Zikai Zhou, Huanran Chen, Zhiqiang Shen
2024 A* conf
Empowering Graph Invariance Learning with Deep Spurious Infomax.
ICML
Tianjun Yao, Yongqiang Chen, Zhenhao Chen, Kai Hu, Zhiqiang Shen, Kun Zhang
2024 J jnl
Empowering Graph Invariance Learning with Deep Spurious Infomax.
CoRR
Tianjun Yao, Yongqiang Chen, Zhenhao Chen, Kai Hu, Zhiqiang Shen, Kun Zhang
2024 J jnl
FBI-LLM: Scaling Up Fully Binarized LLMs from Scratch via Autoregressive Distillation.
CoRR
Liqun Ma, Mingjie Sun, Zhiqiang Shen
2024 A* conf
Generalized Large-Scale Data Condensation via Various Backbone and Statistical Matching.
CVPR
Shitong Shao, Zeyuan Yin, Muxin Zhou, Xindong Zhang, Zhiqiang Shen
2024 A* conf
Initializing Models with Larger Ones.
ICLR
Zhiqiu Xu, Yanjie Chen, Kirill Vishniakov, Yida Yin, Zhiqiang Shen, Trevor Darrell, Lingjie Liu, Zhuang Liu
2024 A* conf
LFME: A Simple Framework for Learning from Multiple Experts in Domain Generalization.
NeurIPS
Liang Chen, Yong Zhang, Yibing Song, Zhiqiang Shen, Lingqiao Liu
2024 J jnl
LFME: A Simple Framework for Learning from Multiple Experts in Domain Generalization.
CoRR
Liang Chen, Yong Zhang, Yibing Song, Zhiqiang Shen, Lingqiao Liu
2024 — conf
Learning Invariant Features on Graphs by Disentangling Spurious Features.
ICDM (Workshops)
Tianjun Yao, Yongqiang Shen, Zhiqiang Shen, Kun Zhang
2024 J jnl
Mamba or Transformer for Time Series Forecasting? Mixture of Universals (MoU) Is All You Need.
CoRR
Sijia Peng, Yun Xiong, Yangyong Zhu, Zhiqiang Shen
2024 A conf
MixMask: Revisiting Masking Strategy for Siamese ConvNets.
BMVC
Kirill Vishniakov, Eric P. Xing, Zhiqiang Shen
2024 J jnl
Open-LLM-Leaderboard: From Multi-choice to Open-style Questions for LLMs Evaluation, Benchmark, and Arena.
CoRR
Aidar Myrzakhan, Sondos Mahmoud Bsharat, Zhiqiang Shen
2024 J jnl
Point Spatio-Temporal Pyramid Network for Point Cloud Video Understanding.
IEEE Signal Process. Lett.
Zhiqiang Shen, Longguang Wang, Yulan Guo, Qiong Liu, Xi Zhou
2024 J jnl
PointSDA: Spatio-Temporal Deformable Attention Network for Point Cloud Video Modeling.
IEEE Robotics Autom. Lett.
Xiaoxiao Sheng, Zhiqiang Shen, Gang Xiao
2024 J jnl
Precise Knowledge Transfer via Flow Matching.
CoRR
Shitong Shao, Zhiqiang Shen, Linrui Gong, Huanran Chen, Xu Dai
2024 J jnl
Quantization Variation: A New Perspective on Training Transformers with Low-Bit Precision.
Trans. Mach. Learn. Res.
Xijie Huang, Zhiqiang Shen, Pingcheng Dong, Kwang-Ting Cheng
2024 J jnl
Rethinking Barely-Supervised Segmentation from an Unsupervised Domain Adaptation Perspective.
CoRR
Zhiqiang Shen, Peng Cao, Junming Su, Jinzhu Yang, Osmar R. Zaïane
2024 J jnl
Rethinking the Vulnerabilities of Face Recognition Systems:From a Practical Perspective.
CoRR
Jiahao Chen, Zhiqiang Shen, Yuwen Pu, Chunyi Zhou, Changjiang Li, Ting Wang, Shouling Ji
2024 A* conf
S3A: Towards Realistic Zero-Shot Classification via Self Structural Semantic Alignment.
AAAI
Sheng Zhang, Muzammal Naseer, Guangyi Chen, Zhiqiang Shen, Salman H. Khan, Kun Zhang, Fahad Khan
2024 J jnl
Self-Paced Sample Selection for Barely-Supervised Medical Image Segmentation.
CoRR
Junming Su, Zhiqiang Shen, Peng Cao, Jinzhu Yang, Osmar R. Zaïane
2024 — conf
Self-paced Sample Selection for Barely-Supervised Medical Image Segmentation.
MICCAI (9)
Junming Su, Zhiqiang Shen, Peng Cao, Jinzhu Yang, Osmar R. Zaïane
2024 J jnl
Self-supervised Dataset Distillation: A Good Compression Is All You Need.
CoRR
Muxin Zhou, Zeyuan Yin, Shitong Shao, Zhiqiang Shen
2024 A* conf
TransLinkGuard: Safeguarding Transformer Models Against Model Stealing in Edge Deployment.
ACM Multimedia
Qinfeng Li, Zhiqiang Shen, ZhengHan Qin, Yangfan Xie, Xuhong Zhang, Tianyu Du, Sheng Cheng, Xun Wang, Jianwei Yin
2024 J jnl
TransLinkGuard: Safeguarding Transformer Models Against Model Stealing in Edge Deployment.
CoRR
Qinfeng Li, Zhiqiang Shen, ZhengHan Qin, Yangfan Xie, Xuhong Zhang, Tianyu Du, Jianwei Yin
2024 A* conf
Web2Code: A Large-scale Webpage-to-Code Dataset and Evaluation Framework for Multimodal LLMs.
NeurIPS
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
2024 J jnl
Web2Code: A Large-scale Webpage-to-Code Dataset and Evaluation Framework for Multimodal LLMs.
CoRR
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
2024 — conf
i-MAE: Are Latent Representations in Masked Autoencoders Linearly Separable?
CVPR Workshops
Kevin Zhang, Zhiqiang Shen
2024 J jnl
γ-MoD: Exploring Mixture-of-Depth Adaptation for Multimodal Large Language Models.
CoRR
Yaxin Luo, Gen Luo, Jiayi Ji, Yiyi Zhou, Xiaoshuai Sun, Zhiqiang Shen, Rongrong Ji
2023 J jnl
A Progressive Difference Method for Capturing Visual Tempos on Action Recognition.
IEEE Trans. Circuits Syst. Video Technol.
Xiaoxiao Sheng, Kunchang Li, Zhiqiang Shen, Gang Xiao
2023 J jnl
Beyond Size: How Gradients Shape Pruning Decisions in Large Language Models.
CoRR
Rocktim Jyoti Das, Liqun Ma, Zhiqiang Shen
2023 A* conf
Co-training with High-Confidence Pseudo Labels for Semi-supervised Medical Image Segmentation.
IJCAI
Zhiqiang Shen, Peng Cao, Hua Yang, Xiaoli Liu, Jinzhu Yang, Osmar R. Zaïane
2023 J jnl
Co-training with High-Confidence Pseudo Labels for Semi-supervised Medical Image Segmentation.
CoRR
Zhiqiang Shen, Peng Cao, Hua Yang, Xiaoli Liu, Jinzhu Yang, Osmar R. Zaïane
2023 A* conf
Contrastive Predictive Autoencoders for Dynamic Point Cloud Self-Supervised Learning.
AAAI
Xiaoxiao Sheng, Zhiqiang Shen, Gang Xiao
2023 J jnl
Contrastive Predictive Autoencoders for Dynamic Point Cloud Self-Supervised Learning.
CoRR
Xiaoxiao Sheng, Zhiqiang Shen, Gang Xiao
2023 J jnl
ConvNet vs Transformer, Supervised vs CLIP: Beyond ImageNet Accuracy.
CoRR
Kirill Vishniakov, Zhiqiang Shen, Zhuang Liu
2023 J jnl
Dataset Distillation in Large Data Era.
CoRR
Zeyuan Yin, Zhiqiang Shen
2023 A* conf
Dropout Reduces Underfitting.
ICML
Zhuang Liu, Zhiqiu Xu, Joseph Jin, Zhiqiang Shen, Trevor Darrell
2023 J jnl
Dropout Reduces Underfitting.
CoRR
Zhuang Liu, Zhiqiu Xu, Joseph Jin, Zhiqiang Shen, Trevor Darrell
2023 J jnl
Effects of Temperature and Humidity on the Absorption Spectrum and Concentration of N2O Using an Open-Path Sensor System.
Remote. Sens.
Jiahong Chen, Yuefeng Zhao, Zhihao Feng, Nan Zhang, Yanxuan Wang, Zhiqiang Shen, Zongmin Kang, Qingsong Li
2023 J jnl
Exploring Simple and Transferable Recognition-Aware Image Processing.
IEEE Trans. Pattern Anal. Mach. Intell.
Zhuang Liu, Hung-Ju Wang, Tinghui Zhou, Zhiqiang Shen, Bingyi Kang, Evan Shelhamer, Trevor Darrell
2023 A* conf
FerKD: Surgical Label Adaptation for Efficient Distillation.
ICCV
Zhiqiang Shen
2023 J jnl
FerKD: Surgical Label Adaptation for Efficient Distillation.
CoRR
Zhiqiang Shen
2023 J jnl
Generalized Large-Scale Data Condensation via Various Backbone and Statistical Matching.
CoRR
Shitong Shao, Zeyuan Yin, Muxin Zhou, Xindong Zhang, Zhiqiang Shen
2023 J jnl
Initializing Models with Larger Ones.
CoRR
Zhiqiu Xu, Yanjie Chen, Kirill Vishniakov, Yida Yin, Zhiqiang Shen, Trevor Darrell, Lingjie Liu, Zhuang Liu
2023 J jnl
LLM360: Towards Fully Transparent Open-Source LLMs.
CoRR
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
2023 J jnl
Learning multi-view and centerline topology connectivity information for pulmonary artery-vein separation.
Comput. Biol. Medicine
Lin Pan, Zhaopei Li, Zhiqiang Shen, Zheng Liu, Liqin Huang, Mingjing Yang, Bin Zheng, Taidui Zeng, Shaohua Zheng
2023 A* conf
Masked Spatio-Temporal Structure Prediction for Self-supervised Learning on Point Cloud Videos.
ICCV
Zhiqiang Shen, Xiaoxiao Sheng, Hehe Fan, Longguang Wang, Yulan Guo, Qiong Liu, Hao Wen, Xi Zhou
2023 J jnl
Masked Spatio-Temporal Structure Prediction for Self-supervised Learning on Point Cloud Videos.
CoRR
Zhiqiang Shen, Xiaoxiao Sheng, Hehe Fan, Longguang Wang, Yulan Guo, Qiong Liu, Hao Wen, Xi Zhou
2023 J jnl
One-for-All: Generalized LoRA for Parameter-Efficient Fine-tuning.
CoRR
Arnav Chavan, Zhuang Liu, Deepak K. Gupta, Eric P. Xing, Zhiqiang Shen
2023 A* conf
Point Contrastive Prediction with Semantic Clustering for Self-Supervised Learning on Point Cloud Videos.
ICCV
Xiaoxiao Sheng, Zhiqiang Shen, Gang Xiao, Longguang Wang, Yulan Guo, Hehe Fan
2023 J jnl
Point Contrastive Prediction with Semantic Clustering for Self-Supervised Learning on Point Cloud Videos.
CoRR
Xiaoxiao Sheng, Zhiqiang Shen, Gang Xiao, Longguang Wang, Yulan Guo, Hehe Fan
2023 A* conf
PointCMP: Contrastive Mask Prediction for Self-supervised Learning on Point Cloud Videos.
CVPR
Zhiqiang Shen, Xiaoxiao Sheng, Longguang Wang, Yulan Guo, Qiong Liu, Xi Zhou
2023 J jnl
PointCMP: Contrastive Mask Prediction for Self-supervised Learning on Point Cloud Videos.
CoRR
Zhiqiang Shen, Xiaoxiao Sheng, Longguang Wang, Yulan Guo, Qiong Liu, Xi Zhou
2023 J jnl
Principled Instructions Are All You Need for Questioning LLaMA-1/2, GPT-3.5/4.
CoRR
Sondos Mahmoud Bsharat, Aidar Myrzakhan, Zhiqiang Shen
2023 A* conf
PromptCAL: Contrastive Affinity Learning via Auxiliary Prompts for Generalized Novel Category Discovery.
CVPR
Sheng Zhang, Salman H. Khan, Zhiqiang Shen, Muzammal Naseer, Guangyi Chen, Fahad Shahbaz Khan
2023 — conf
RCV2023 Challenges: Benchmarking Model Training and Inference for Resource-Constrained Deep Learning.
ICCV (Workshops)
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
2023 J jnl
SlimPajama-DC: Understanding Data Combinations for LLM Training.
CoRR
Zhiqiang Shen, Tianhua Tao, Liqun Ma, Willie Neiswanger, Zhengzhong Liu, Hongyi Wang, Bowen Tan, Joel Hestness, Natalia Vassilieva, Daria Soboleva, Eric P. Xing
2023 A* conf
Squeeze, Recover and Relabel: Dataset Condensation at ImageNet Scale From A New Perspective.
NeurIPS
Zeyuan Yin, Eric P. Xing, Zhiqiang Shen
2023 J jnl
Squeeze, Recover and Relabel: Dataset Condensation at ImageNet Scale From A New Perspective.
CoRR
Zeyuan Yin, Eric P. Xing, Zhiqiang Shen
2023 J jnl
Towards Realistic Zero-Shot Classification via Self Structural Semantic Alignment.
CoRR
Sheng Zhang, Muzammal Naseer, Guangyi Chen, Zhiqiang Shen, Salman H. Khan, Kun Zhang, Fahad Shahbaz Khan
2023 J jnl
Variation-aware Vision Transformer Quantization.
CoRR
Xijie Huang, Zhiqiang Shen, Kwang-Ting Cheng
2023 J jnl
WS-LungNet: A two-stage weakly-supervised lung cancer detection and diagnosis network.
Comput. Biol. Medicine
Zhiqiang Shen, Peng Cao, Jinzhu Yang, Osmar R. Zaïane
2022 — conf
A Fast Knowledge Distillation Framework for Visual Recognition.
ECCV (24)
Zhiqiang Shen, Eric P. Xing
2022 — conf
Data-Free Neural Architecture Search via Recursive Label Calibration.
ECCV (24)
Zechun Liu, Zhiqiang Shen, Yun Long, Eric P. Xing, Kwang-Ting Cheng, Chas Leichner
2022 J jnl
MixMask: Revisiting Masked Siamese Self-supervised Learning in Asymmetric Distance.
CoRR
Kirill Vishniakov, Eric P. Xing, Zhiqiang Shen
2022 A* conf
Nonuniform-to-Uniform Quantization: Towards Accurate Quantization via Generalized Straight-Through Estimation.
CVPR
Zechun Liu, Kwang-Ting Cheng, Dong Huang, Eric P. Xing, Zhiqiang Shen
2022 J jnl
PromptCAL: Contrastive Affinity Learning via Auxiliary Prompts for Generalized Novel Category Discovery.
CoRR
Sheng Zhang, Salman Khan, Zhiqiang Shen, Muzammal Naseer, Guangyi Chen, Fahad Shahbaz Khan
2022 A* conf
SDQ: Stochastic Differentiable Quantization with Mixed Precision.
ICML
Xijie Huang, Zhiqiang Shen, Shichao Li, Zechun Liu, Xianghong Hu, Jeffry Wicaksana, Eric P. Xing, Kwang-Ting Cheng
2022 J jnl
SDQ: Stochastic Differentiable Quantization with Mixed Precision.
CoRR
Xijie Huang, Zhiqiang Shen, Shichao Li, Zechun Liu, Xianghong Hu, Jeffry Wicaksana, Eric P. Xing, Kwang-Ting Cheng
2022 — conf
Sliced Recursive Transformer.
ECCV (24)
Zhiqiang Shen, Zechun Liu, Eric P. Xing
2022 A* conf
Stereo Neural Vernier Caliper.
AAAI
Shichao Li, Zechun Liu, Zhiqiang Shen, Kwang-Ting Cheng
2022 J jnl
Stereo Neural Vernier Caliper.
CoRR
Shichao Li, Zechun Liu, Zhiqiang Shen, Kwang-Ting Cheng
2022 A* conf
Un-mix: Rethinking Image Mixtures for Unsupervised Visual Representation Learning.
AAAI
Zhiqiang Shen, Zechun Liu, Zhuang Liu, Marios Savvides, Trevor Darrell, Eric Poe Xing
2022 A* conf
Vision Transformer Slimming: Multi-Dimension Searching in Continuous Optimization Space.
CVPR
Arnav Chavan, Zhiqiang Shen, Zhuang Liu, Zechun Liu, Kwang-Ting Cheng, Eric P. Xing
2022 J jnl
Vision Transformer Slimming: Multi-Dimension Searching in Continuous Optimization Space.
CoRR
Arnav Chavan, Zhiqiang Shen, Zhuang Liu, Zechun Liu, Kwang-Ting Cheng, Eric P. Xing
2022 J jnl
i-MAE: Are Latent Representations in Masked Autoencoders Linearly Separable?
CoRR
Kevin Zhang, Zhiqiang Shen
2021 — conf
"BNN - BN = ?": Training Binary Neural Networks Without Batch Normalization.
CVPR Workshops
Tianlong Chen, Zhenyu Zhang, Xu Ouyang, Zechun Liu, Zhiqiang Shen, Zhangyang Wang
2021 J jnl
"BNN - BN = ?": Training Binary Neural Networks without Batch Normalization.
CoRR
Tianlong Chen, Zhenyu Zhang, Xu Ouyang, Zechun Liu, Zhiqiang Shen, Zhangyang Wang
2021 J jnl
A Fast Knowledge Distillation Framework for Visual Recognition.
CoRR
Zhiqiang Shen, Eric P. Xing
2021 J jnl
A dual-attention V-network for pulmonary lobe segmentation in CT scans.
IET Image Process.
Shaohua Zheng, Weiyu Nie, Lin Pan, Bin Zheng, Zhiqiang Shen, Liqin Huang, Chenhao Pei, Yuhang She, Liuqing Chen
2021 — conf
Automated Kidney Tumor Segmentation with Convolution and Transformer Network.
KiTS@MICCAI
Zhiqiang Shen, Hua Yang, Zhen Zhang, Shaohua Zheng
2021 — conf
Automatic Brain Tumor Segmentation Using Multi-scale Features and Attention Mechanism.
BrainLes@MICCAI (1)
Zhaopei Li, Zhiqiang Shen, Jianhui Wen, Tian He, Lin Pan
2021 J jnl
CDTD: A Large-Scale Cross-Domain Benchmark for Instance-Level Image-to-Image Translation and Domain Adaptive Object Detection.
Int. J. Comput. Vis.
Zhiqiang Shen, Mingyang Huang, Jianping Shi, Zechun Liu, Harsh Maheshwari, Yutong Zheng, Xiangyang Xue, Marios Savvides, Thomas S. Huang
2021 J jnl
COTR: Convolution in Transformer Network for End to End Polyp Detection.
CoRR
Zhiqiang Shen, Chaonan Lin, Shaohua Zheng
2021 — conf
Combining Global Information with Topological Prior for Brain Tumor Segmentation.
BrainLes@MICCAI (1)
Hua Yang, Zhiqiang Shen, Zhaopei Li, Jinqing Liu, Jinchao Xiao
2021 A conf
Conditional Link Prediction of Category-Implicit Keypoint Detection.
WACV
Ellen Yi-Ge, Rui Fan, Zechun Liu, Zhiqiang Shen
2021 A* conf
Contrast and Order Representations for Video Self-supervised Learning.
ICCV
Kai Hu, Jie Shao, Yuan Liu, Bhiksha Raj, Marios Savvides, Zhiqiang Shen
2021 J jnl
Data-Free Neural Architecture Search via Recursive Label Calibration.
CoRR
Zechun Liu, Zhiqiang Shen, Yun Long, Eric P. Xing, Kwang-Ting Cheng, Chas Leichner
2021 A* conf
How Do Adam and Training Strategies Help BNNs Optimization.
ICML
Zechun Liu, Zhiqiang Shen, Shichao Li, Koen Helwegen, Dong Huang, Kwang-Ting Cheng
2021 J jnl
How Do Adam and Training Strategies Help BNNs Optimization?
CoRR
Zechun Liu, Zhiqiang Shen, Shichao Li, Koen Helwegen, Dong Huang, Kwang-Ting Cheng
2021 J jnl
Interpretative Computer-aided Lung Cancer Diagnosis: from Radiology Analysis to Malignancy Evaluation.
CoRR
Shaohua Zheng, Zhiqiang Shen, Chenhao Pei, Wangbin Ding, Haojin Lin, Jiepeng Zheng, Lin Pan, Bin Zheng, Liqin Huang
2021 J jnl
Interpretative computer-aided lung cancer diagnosis: From radiology analysis to malignancy evaluation.
Comput. Methods Programs Biomed.
Shaohua Zheng, Zhiqiang Shen, Chenhao Pei, Wangbin Ding, Haojin Lin, Jiepeng Zheng, Lin Pan, Bin Zheng, Liqin Huang
2021 A* conf
Is Label Smoothing Truly Incompatible with Knowledge Distillation: An Empirical Study.
ICLR
Zhiqiang Shen, Zechun Liu, Dejia Xu, Zitian Chen, Kwang-Ting Cheng, Marios Savvides
2021 J jnl
Is Label Smoothing Truly Incompatible with Knowledge Distillation: An Empirical Study.
CoRR
Zhiqiang Shen, Zechun Liu, Dejia Xu, Zitian Chen, Kwang-Ting Cheng, Marios Savvides
2021 J jnl
Joint Multi-Dimension Pruning via Numerical Gradient Update.
IEEE Trans. Image Process.
Zechun Liu, Xiangyu Zhang, Zhiqiang Shen, Yichen Wei, Kwang-Ting Cheng, Jian Sun
2021 A* conf
Latent Memory-augmented Graph Transformer for Visual Storytelling.
ACM Multimedia
Mengshi Qi, Jie Qin, Di Huang, Zhiqiang Shen, Yi Yang, Jiebo Luo
2021 J jnl
Multi-modal Self-supervised Pre-training for Regulatory Genome Across Cell Types.
CoRR
Shentong Mo, Xi Fu, Chenyang Hong, Yizhen Chen, Yuxuan Zheng, Xiangru Tang, Zhiqiang Shen, Eric P. Xing, Yanyan Lan
2021 J jnl
Nonuniform-to-Uniform Quantization: Towards Accurate Quantization via Generalized Straight-Through Estimation.
CoRR
Zechun Liu, Kwang-Ting Cheng, Dong Huang, Eric P. Xing, Zhiqiang Shen
2021 A* conf
Partial Is Better Than All: Revisiting Fine-tuning Strategy for Few-shot Learning.
AAAI
Zhiqiang Shen, Zechun Liu, Jie Qin, Marios Savvides, Kwang-Ting Cheng
2021 J jnl
Partial Is Better Than All: Revisiting Fine-tuning Strategy for Few-shot Learning.
CoRR
Zhiqiang Shen, Zechun Liu, Jie Qin, Marios Savvides, Kwang-Ting Cheng
2021 A* conf
S2-BNN: Bridging the Gap Between Self-Supervised Real and 1-Bit Neural Networks via Guided Distribution Calibration.
CVPR
Zhiqiang Shen, Zechun Liu, Jie Qin, Lei Huang, Kwang-Ting Cheng, Marios Savvides
2021 J jnl
S2-BNN: Bridging the Gap Between Self-Supervised Real and 1-bit Neural Networks via Guided Distribution Calibration.
CoRR
Zhiqiang Shen, Zechun Liu, Jie Qin, Lei Huang, Kwang-Ting Cheng, Marios Savvides
2021 A* conf
Semantic Relation Reasoning for Shot-Stable Few-Shot Object Detection.
CVPR
Chenchen Zhu, Fangyi Chen, Uzair Ahmed, Zhiqiang Shen, Marios Savvides
2021 J jnl
Semantic Relation Reasoning for Shot-Stable Few-Shot Object Detection.
CoRR
Chenchen Zhu, Fangyi Chen, Uzair Ahmed, Zhiqiang Shen, Marios Savvides
2021 J jnl
Sliced Recursive Transformer.
CoRR
Zhiqiang Shen, Zechun Liu, Eric P. Xing
2021 — conf
Squeeze-and-Excitation Encoder-Decoder Network for Kidney and Kidney Tumor Segmentation in CT Images.
KiTS@MICCAI
Jianhui Wen, Zhaopei Li, Zhiqiang Shen, Yaoyong Zheng, Shaohua Zheng
2021 A* conf
Unsupervised Disentanglement of Linear-Encoded Facial Semantics.
CVPR
Yutong Zheng, Yu-Kai Huang, Ran Tao, Zhiqiang Shen, Marios Savvides
2021 J jnl
Unsupervised Disentanglement of Linear-Encoded Facial Semantics.
CoRR
Yutong Zheng, Yu-Kai Huang, Ran Tao, Zhiqiang Shen, Marios Savvides
2020 J jnl
Attentive CutMix: An Enhanced Data Augmentation Approach for Deep Learning Based Image Classification.
CoRR
Devesh Walawalkar, Zhiqiang Shen, Zechun Liu, Marios Savvides
2020 Misc conf
Attentive Cutmix: An Enhanced Data Augmentation Approach for Deep Learning Based Image Classification.
ICASSP
Devesh Walawalkar, Zhiqiang Shen, Zechun Liu, Marios Savvides
2020 A* conf
Binarizing MobileNet via Evolution-Based Searching.
CVPR
Hai Phan, Zechun Liu, Dang Huynh, Marios Savvides, Kwang-Ting Cheng, Zhiqiang Shen
2020 J jnl
Binarizing MobileNet via Evolution-based Searching.
CoRR
Hai Phan, Zechun Liu, Dang Huynh, Marios Savvides, Kwang-Ting Cheng, Zhiqiang Shen
2020 J jnl
Channel-wise Alignment for Adaptive Object Detection.
CoRR
Hang Yang, Shan Jiang, Xinge Zhu, Mingyang Huang, Zhiqiang Shen, Chunxiao Liu, Jianping Shi
2020 J jnl
Conditional Link Prediction of Category-Implicit Keypoint Detection.
CoRR
Ellen Yi-Ge, Rui Fan, Zechun Liu, Zhiqiang Shen
2020 J jnl
Cross-Supervised Object Detection.
CoRR
Zitian Chen, Zhiqiang Shen, Jiahui Yu, Erik G. Learned-Miller
2020 J jnl
Joint Multi-Dimension Pruning.
CoRR
Zechun Liu, Xiangyu Zhang, Zhiqiang Shen, Zhe Li, Yichen Wei, Kwang-Ting Cheng, Jian Sun
2020 J jnl
MEAL V2: Boosting Vanilla ResNet-50 to 80%+ Top-1 Accuracy on ImageNet without Tricks.
CoRR
Zhiqiang Shen, Marios Savvides
2020 A conf
MoBiNet: A Mobile Binary Network for Image Classification.
WACV
Hai Phan, Dang Huynh, Yihui He, Marios Savvides, Zhiqiang Shen
2020 J jnl
NCMS: Towards accurate anchor free object detection through ℓ2 norm calibration and multi-feature selection.
Comput. Vis. Image Underst.
Fangyi Chen, Chenchen Zhu, Zhiqiang Shen, Han Zhang, Marios Savvides
2020 J jnl
Object Detection from Scratch with Deep Supervision.
IEEE Trans. Pattern Anal. Mach. Intell.
Zhiqiang Shen, Zhuang Liu, Jianguo Li, Yu-Gang Jiang, Yurong Chen, Xiangyang Xue
2020 — conf
Online Ensemble Model Compression Using Knowledge Distillation.
ECCV (19)
Devesh Walawalkar, Zhiqiang Shen, Marios Savvides
2020 J jnl
Online Ensemble Model Compression using Knowledge Distillation.
CoRR
Devesh Walawalkar, Zhiqiang Shen, Marios Savvides
2020 J jnl
OpenFSI: A highly efficient and portable fluid-structure simulation package based on immersed-boundary method.
Comput. Phys. Commun.
Huilin Ye, Zhiqiang Shen, Weikang Xian, Teng Zhang, Shan Tang, Ying Li
2020 — conf
ReActNet: Towards Precise Binary Neural Network with Generalized Activation Functions.
ECCV (14)
Zechun Liu, Zhiqiang Shen, Marios Savvides, Kwang-Ting Cheng
2020 J jnl
ReActNet: Towards Precise Binary Neural Network with Generalized Activation Functions.
CoRR
Zechun Liu, Zhiqiang Shen, Marios Savvides, Kwang-Ting Cheng
2020 J jnl
Rethinking Image Mixture for Unsupervised Visual Representation Learning.
CoRR
Zhiqiang Shen, Zechun Liu, Zhuang Liu, Marios Savvides, Trevor Darrell
2020 — conf
Soft Anchor-Point Object Detection.
ECCV (9)
Chenchen Zhu, Fangyi Chen, Zhiqiang Shen, Marios Savvides
2020 Misc conf
Solving Missing-Annotation Object Detection with Background Recalibration Loss.
ICASSP
Han Zhang, Fangyi Chen, Zhiqiang Shen, Qiqi Hao, Chenchen Zhu, Marios Savvides
2020 J jnl
Solving Missing-Annotation Object Detection with Background Recalibration Loss.
CoRR
Han Zhang, Fangyi Chen, Zhiqiang Shen, Qiqi Hao, Chenchen Zhu, Marios Savvides
2019 J jnl
Adversarial-Based Knowledge Distillation for Multi-Model Ensemble and Noisy Data Refinement.
CoRR
Zhiqiang Shen, Zhankui He, Wanyun Cui, Jiahui Yu, Yutong Zheng, Chenchen Zhu, Marios Savvides
2019 A conf
Improving Object Detection from Scratch via Gated Feature Reuse.
BMVC
Zhiqiang Shen, Honghui Shi, Jiahui Yu, Hai Phan, Rogério Feris, Liangliang Cao, Ding Liu, Xinchao Wang, Thomas S. Huang, Marios Savvides
2019 — conf
Landslide Detection Leveraging Spectral-Spatial Correlation Fusion in Aerospace Remote Sensing.
BigCom
Shanjing Chen, Zongsheng Zhang, Qing Kang, Zhiqiang Shen, Ruochong Zhou, Guopu Ma
2019 A* conf
MEAL: Multi-Model Ensemble via Adversarial Learning.
AAAI
Zhiqiang Shen, Zhankui He, Xiangyang Xue
2019 J jnl
MoBiNet: A Mobile Binary Network for Image Classification.
CoRR
Hai Phan, Dang Huynh, Yihui He, Marios Savvides, Zhiqiang Shen
2019 J jnl
SCL: Towards Accurate Domain Adaptive Object Detection via Gradient Detach Based Stacked Complementary Losses.
CoRR
Zhiqiang Shen, Harsh Maheshwari, Weichen Yao, Marios Savvides
2019 J jnl
Soft Anchor-Point Object Detection.
CoRR
Chenchen Zhu, Fangyi Chen, Zhiqiang Shen, Marios Savvides
2019 A* conf
Towards Instance-Level Image-To-Image Translation.
CVPR
Zhiqiang Shen, Mingyang Huang, Jianping Shi, Xiangyang Xue, Thomas S. Huang
2019 J jnl
Towards Instance-level Image-to-Image Translation.
CoRR
Zhiqiang Shen, Mingyang Huang, Jianping Shi, Xiangyang Xue, Thomas S. Huang
2019 — conf
Transfer Learning for Sequences via Learning to Collocate.
ICLR (Poster)
Wanyun Cui, Guangyu Zheng, Zhiqiang Shen, Sihang Jiang, Wei Wang
2019 J jnl
Transfer Learning for Sequences via Learning to Collocate.
CoRR
Wanyun Cui, Guangyu Zheng, Zhiqiang Shen, Sihang Jiang, Wei Wang
2019 J jnl
Transferable Recognition-Aware Image Processing.
CoRR
Zhuang Liu, Tinghui Zhou, Zhiqiang Shen, Bingyi Kang, Trevor Darrell
2018 J jnl
A Hybrid 3D Descriptor With Global Structural Frames and Local Signatures of Histograms.
IEEE Access
Zhiqiang Shen, Xin Ma, Yibin Li
2018 B conf
Hybrid 3D Surface Description with Global Frames and Local Signatures of Histograms.
ICPR
Zhiqiang Shen, Xin Ma, Xianglei Zeng
2018 J jnl
MEAL: Multi-Model Ensemble via Adversarial Learning.
CoRR
Zhiqiang Shen, Zhankui He, Xiangyang Xue
2018 J jnl
Object Detection from Scratch with Deep Supervision.
CoRR
Zhiqiang Shen, Zhuang Liu, Jianguo Li, Yu-Gang Jiang, Yurong Chen, Xiangyang Xue
2018 — conf
TS ^2 2 C: Tight Box Mining with Surrounding Segmentation Context for Weakly Supervised Object Detection.
ECCV (11)
Yunchao Wei, Zhiqiang Shen, Bowen Cheng, Honghui Shi, Jinjun Xiong, Jiashi Feng, Thomas S. Huang
2018 J jnl
TS2C: Tight Box Mining with Surrounding Segmentation Context for Weakly Supervised Object Detection.
CoRR
Yunchao Wei, Zhiqiang Shen, Bowen Cheng, Honghui Shi, Jinjun Xiong, Jiashi Feng, Thomas S. Huang
2017 A* conf
DSOD: Learning Deeply Supervised Object Detectors from Scratch.
ICCV
Zhiqiang Shen, Zhuang Liu, Jianguo Li, Yu-Gang Jiang, Yurong Chen, Xiangyang Xue
2017 J jnl
DSOD: Learning Deeply Supervised Object Detectors from Scratch.
CoRR
Zhiqiang Shen, Zhuang Liu, Jianguo Li, Yu-Gang Jiang, Yurong Chen, Xiangyang Xue
2017 J jnl
Iterative Object and Part Transfer for Fine-Grained Recognition.
CoRR
Zhiqiang Shen, Yu-Gang Jiang, Dequan Wang, Xiangyang Xue
2017 A conf
Iterative object and part transfer for fine-grained recognition.
ICME
Zhiqiang Shen, Yu-Gang Jiang, Dequan Wang, Xiangyang Xue
2017 A* conf
Learning Efficient Convolutional Networks through Network Slimming.
ICCV
Zhuang Liu, Jianguo Li, Zhiqiang Shen, Gao Huang, Shoumeng Yan, Changshui Zhang
2017 J jnl
Learning Efficient Convolutional Networks through Network Slimming.
CoRR
Zhuang Liu, Jianguo Li, Zhiqiang Shen, Gao Huang, Shoumeng Yan, Changshui Zhang
2017 J jnl
Learning Object Detectors from Scratch with Gated Recurrent Feature Pyramids.
CoRR
Zhiqiang Shen, Honghui Shi, Rogério Schmidt Feris, Liangliang Cao, Shuicheng Yan, Ding Liu, Xinchao Wang, Xiangyang Xue, Thomas S. Huang
2017 J jnl
Symmetric difference operators on fuzzy sets.
Fuzzy Sets Syst.
Zhiqiang Shen, Dexue Zhang
2017 A* conf
Weakly Supervised Dense Video Captioning.
CVPR
Zhiqiang Shen, Jianguo Li, Zhou Su, Minjun Li, Yurong Chen, Yu-Gang Jiang, Xiangyang Xue
2017 J jnl
Weakly Supervised Dense Video Captioning.
CoRR
Zhiqiang Shen, Jianguo Li, Zhou Su, Minjun Li, Yurong Chen, Yu-Gang Jiang, Xiangyang Xue
2015 A* conf
Multiple Granularity Descriptors for Fine-Grained Categorization.
ICCV
Dequan Wang, Zhiqiang Shen, Jie Shao, Wei Zhang, Xiangyang Xue, Zheng Zhang
2014 J jnl
A note on the continuity of triangular norms.
Fuzzy Sets Syst.
Zhiqiang Shen, Dexue Zhang
2014 J jnl
Do More Dropouts in Pool5 Feature Maps for Better Object Detection.
CoRR
Zhiqiang Shen, Xiangyang Xue