Learning multiple codebooks for low bit rate mobile visual search. - Jie Lin 001; Ling-Yu Duan; Jie Chen 006; Rongrong Ji; Siwei Luo; Wen Gao 001 (ICASSP, 2012)

Allocating images and selecting image collections for distributed visual search. - Bing Li 024; Ling-Yu Duan; Jie Lin 001; Tiejun Huang 001 (ICIMCS, 2012)

Learning sparse tag patterns for social image classification. - Jie Lin 001; Ling-Yu Duan; Junsong Yuan 001; Qingyong Li; Siwei Luo (ICIP, 2012)

Social Image Tagging by Mining Sparse Tag Patterns from Auxiliary Data. - Jie Lin 001; Junsong Yuan 001; Ling-Yu Duan; Siwei Luo; Wen Gao 001 (ICME, 2012)

On the interoperability of local descriptors compression. - Jie Chen 006; Ling-Yu Duan; Jie Lin 001; Rongrong Ji; Tiejun Huang 001; Wen Gao 001 (ICASSP, 2013)

Robust fisher codes for large scale image retrieval. - Jie Lin 001; Ling-Yu Duan; Tiejun Huang 001; Wen Gao 001 (ICASSP, 2013)

A novel pair-wise image matching strategy with compact descriptors. - Shuang Yang; Ling-Yu Duan; Jie Lin 001; Tiejun Huang 001 (ICIP, 2013)

Compact descriptors for mobile visual search and MPEG CDVS standardization. - Ling-Yu Duan; Feng Gao 014; Jie Chen 006; Jie Lin 001; Tiejun Huang 001 (ISCAS, 2013)

Joint optimization of JPEG quantization table and coefficient thresholding for low bitrate mobile visual search. - Yitong Wang; Ling-Yu Duan; Jie Lin 001; Tiejun Huang 001; Wen Gao 001 (ICIP, 2014)

Component hashing of variable-length binary aggregated descriptors for fast image search. - Zhe Wang 019; Ling-Yu Duan; Jie Lin 001; Tiejun Huang 001; Wen Gao 001; Miroslaw Bober (ICIP, 2014)

Compact Descriptors for Visual Search. - Ling-Yu Duan; Jie Lin 001; Jie Chen 006; Tiejun Huang 001; Wen Gao 001 (IEEE Multim., 2014)

Selective aggregated descriptors for robust mobile image retrieval. - Jie Lin 001; Zhe Wang 019; Yitong Wang; Vijay Chandrasekhar 001; Liyuan Li (APSIPA, 2015)

Compact Global Descriptors for Visual Search. - Vijay Chandrasekhar 001; Jie Lin 001; Olivier Morère; Antoine Veillard; Hanlin Goh (DCC, 2015)

Optimizing Binary Fisher Codes for Visual Search. - Zhe Wang 019; Ling-Yu Duan; Jie Lin 001; Jie Chen 006; Tiejun Huang 001; Wen Gao 001 (DCC, 2015)

An efficient coding framework for compact descriptors extracted from video sequence. - Zhangshuai Huang; Ling-Yu Duan; Jie Lin 001; Shiqi Wang 001; Siwei Ma; Tiejun Huang 001 (ICIP, 2015)

Co-regularized deep representations for video summarization. - Olivier Morère; Hanlin Goh; Antoine Veillard; Vijay Chandrasekhar 001; Jie Lin 001 (ICIP, 2015)

Hierarchical multi-VLAD for image retrieval. - Yitong Wang; Ling-Yu Duan; Jie Lin 001; Zhe Wang 019; Tiejun Huang 001 (ICIP, 2015)

Hamming Compatible Quantization for Hashing. - Zhe Wang 019; Ling-Yu Duan; Jie Lin 001; Xiaofang Wang; Tiejun Huang 001; Wen Gao 001 (IJCAI, 2015)

DeepHash: Getting Regularization, Depth and Fine-Tuning Right. - Jie Lin 001; Olivier Morère; Vijay Chandrasekhar 001; Antoine Veillard; Hanlin Goh (CoRR, 2015)

Weighted Component Hashing of Binary Aggregated Descriptors for Fast Visual Search. - Ling-Yu Duan; Jie Lin 001; Zhe Wang 019; Tiejun Huang 001; Wen Gao 001 (IEEE Trans. Multim., 2015)

Tiny Descriptors for Image Retrieval with Unsupervised Triplet Hashing. - Jie Lin 001; Olivier Morère; Julie Petta; Vijay Chandrasekhar 001; Antoine Veillard (DCC, 2016)

Egocentric activity recognition with multimodal fisher vector. - Sibo Song; Ngai-Man Cheung; Vijay Chandrasekhar 001; Bappaditya Mandal; Jie Lin 001 (ICASSP, 2016)

Nested Invariance Pooling and RBM Hashing for Image Instance Retrieval. - Olivier Morère; Jie Lin 001; Antoine Veillard; Vijay Chandrasekhar 001 (CoRR, 2016)

A practical guide to CNNs and Fisher Vectors for image instance retrieval. - Vijay Chandrasekhar 001; Jie Lin 001; Olivier Morère; Hanlin Goh; Antoine Veillard (Signal Process., 2016)

Overview of the MPEG-CDVS Standard. - Ling-Yu Duan; Vijay Chandrasekhar 001; Jie Chen 006; Jie Lin 001; Zhe Wang 019; Tiejun Huang 001; Bernd Girod; Wen Gao 001 (IEEE Trans. Image Process., 2016)

Group Invariant Deep Representations for Image Instance Retrieval. - Olivier Morère; Antoine Veillard; Jie Lin 001; Julie Petta; Vijay Chandrasekhar 001; Tomaso A. Poggio (AAAI Spring Symposia, 2017)

VC-I2R@ImageCLEF2017: Ensemble of Deep Learned Features for Lifelog Video Summarization. - Ana Garcia del Molino; Bappaditya Mandal; Jie Lin 001; Joo-Hwee Lim; Vigneshwaran Subbaraju; Vijay Chandrasekhar 001 (CLEF (Working Notes), 2017)

Compression of Deep Neural Networks for Image Instance Retrieval. - Vijay Chandrasekhar 001; Jie Lin 001; Qianli Liao; Olivier Morère; Antoine Veillard; Ling-Yu Duan; Tomaso A. Poggio (DCC, 2017)

Compact Deep Invariant Descriptors for Video Retrieval. - Yihang Lou; Yan Bai; Jie Lin 001; Shiqi Wang 001; Jie Chen 006; Vijay Chandrasekhar 001; Ling-Yu Duan; Tiejun Huang 001; Alex ChiChung Kot; Wen Gao 001 (DCC, 2017)

Deep regional feature pooling for video matching. - Yan Bai; Jie Lin 001; Vijay Chandrasekhar 001; Yihang Lou; Shiqi Wang 001; Ling-Yu Duan; Tiejun Huang 001; Alex C. Kot (ICIP, 2017)

A Multi-Block N-ary trie structure for exact r-neighbour search in hamming space. - Yicheng Huang; Ling-Yu Duan; Zhe Wang 019; Jie Lin 001; Vijay Chandrasekhar 001; Tiejun Huang 001 (ICIP, 2017)

Region average pooling for context-aware object detection. - Kingsley Kuan; Gaurav Manek; Jie Lin 001; Yuan Fang 001; Vijay Chandrasekhar 001 (ICIP, 2017)

Object Detection Meets Knowledge Graphs. - Yuan Fang 001; Kingsley Kuan; Jie Lin 001; Cheston Tan; Vijay Chandrasekhar 001 (IJCAI, 2017)

DeepHash for Image Instance Retrieval: Getting Regularization, Depth and Fine-Tuning Right. - Jie Lin 001; Olivier Morère; Antoine Veillard; Ling-Yu Duan; Hanlin Goh; Vijay Chandrasekhar 001 (ICMR, 2017)

Nested Invariance Pooling and RBM Hashing for Image Instance Retrieval. - Olivier Morère; Jie Lin 001; Antoine Veillard; Ling-Yu Duan; Vijay Chandrasekhar 001; Tomaso A. Poggio (ICMR, 2017)

VCI2R at the NTCIR-13 Lifelog-2 Lifelog Semantic Access Task. - Jie Lin 001; Ana Garcia del Molino; Qianli Xu; Fen Fang; Vigneshwaran Subbaraju; Joo-Hwee Lim; Liyuan Li; Vijay Chandrasekhar 001 (NTCIR, 2017)

Visualizing Personal Lifelog Data for Deeper Insights at the NTCIR-13 Lifelog-2 Task. - Qianli Xu; Vigneshwaran Subbaraju; Ana Garcia del Molino; Jie Lin 001; Fen Fang; Joo-Hwee Lim; Liyuan Li; Vijay Chandrasekhar 001 (NTCIR, 2017)

Deep Learning for Lung Cancer Detection: Tackling the Kaggle Data Science Bowl 2017 Challenge. - Kingsley Kuan; Mathieu Ravaut; Gaurav Manek; Huiling Chen; Jie Lin 001; Babar Nazir; Cen Chen; Tse Chiang Howe; Zeng Zeng; Vijay Chandrasekhar 001 (CoRR, 2017)

Pruning Convolutional Neural Networks for Image Instance Retrieval. - Gaurav Manek; Jie Lin 001; Vijay Chandrasekhar 001; Lingyu Duan; Sateesh Giduthuri; Xiaoli Li 001; Tomaso A. Poggio (CoRR, 2017)

Truly Multi-modal YouTube-8M Video Classification with Video, Audio, and Text. - Zhe Wang 019; Kingsley Kuan; Mathieu Ravaut; Gaurav Manek; Sibo Song; Fang Yuan; Kim Seokhwan; Nancy F. Chen; Luis Fernando D'Haro; Anh Tuan Luu; Hongyuan Zhu; Zeng Zeng; et al. (CoRR, 2017)

End-to-End Video Classification with Knowledge Graphs. - Fang Yuan; Zhe Wang 019; Jie Lin 001; Luis Fernando D'Haro; Jung-Jae Kim 001; Zeng Zeng; Vijay Chandrasekhar 001 (CoRR, 2017)

3DHoPD: A Fast Low-Dimensional 3-D Descriptor. - Sai Manoj Prakhya; Jie Lin 001; Vijay Chandrasekhar 001; Weisi Lin; Bingbing Liu (IEEE Robotics Autom. Lett., 2017)

Low Bit-rate 3D feature descriptors for depth data from Kinect-style sensors. - Sai Manoj Prakhya; Weisi Lin; Vijay Chandrasekhar 001; Bingbing Liu; Jie Lin 001 (Signal Process. Image Commun., 2017)

Deep convolutional hashing using pairwise multi-label supervision for large-scale visual search. - Zhaoqiang Xia; Xiaoyi Feng; Jie Lin 001; Abdenour Hadid (Signal Process. Image Commun., 2017)

Towards Detection of Bus Driver Fatigue Based on Robust Visual Analysis of Eye State. - Bappaditya Mandal; Liyuan Li; Gang Sam Wang; Jie Lin 001 (IEEE Trans. Intell. Transp. Syst., 2017)

HNIP: Compact Deep Invariant Representations for Video Matching, Localization, and Retrieval. - Jie Lin 001; Ling-Yu Duan; Shiqi Wang 001; Yan Bai; Yihang Lou; Vijay Chandrasekhar 001; Tiejun Huang 001; Alex ChiChung Kot; Wen Gao 001 (IEEE Trans. Multim., 2017)

Hardware-Aware Softmax Approximation for Deep Neural Networks. - Xue Geng; Jie Lin 001; Bin Zhao; Anmin Kong; Mohamed M. Sabry Aly; Vijay Chandrasekhar 001 (ACCV (4), 2018)

Gated Square-Root Pooling for Image Instance Retrieval. - Ziqian Chen; Jie Lin 001; Vijay Chandrasekhar 001; Ling-Yu Duan (ICIP, 2018)

The AlexNet Moment for Homomorphic Encryption: HCNN, the First Homomorphic CNN on Encrypted Data with GPUs. - Ahmad Al Badawi; Jin Chao; Jie Lin 001; Chan Fook Mun; Sim Jun Jie; Benjamin Hong Meng Tan; Xiao Nan; Khin Mi Mi Aung; Vijay Ramaseshan Chandrasekhar (IACR Cryptol. ePrint Arch., 2018)

MaxpoolNMS: Getting Rid of NMS Bottlenecks in Two-Stage Object Detectors. - Lile Cai; Bin Zhao; Zhe Wang 019; Jie Lin 001; Chuan Sheng Foo; Mohamed M. Sabry Aly; Vijay Chandrasekhar 001 (CVPR, 2019)

Dataflow-Based Joint Quantization for Deep Neural Networks. - Xue Geng; Jie Fu 001; Bin Zhao; Jie Lin 001; Mohamed M. Sabry Aly; Christopher J. Pal; Vijay Chandrasekhar 001 (DCC, 2019)

Beyond Ranking Loss: Deep Holographic Networks for Multi-Label Video Search. - Zhuo Chen 006; Jie Lin 001; Zhe Wang 019; Vijay Chandrasekhar 001; Weisi Lin (ICIP, 2019)

Learning Hierarchical Features for Visual Object Tracking With Recursive Neural Networks. - Li Wang 057; Ting Liu 009; Bing Wang 003; Jie Lin 001; Xulei Yang; Gang Wang 012 (ICIP, 2019)

Optimizing the Bit Allocation for Compression of Weights and Activations of Deep Neural Networks. - Wang Zhe; Jie Lin 001; Vijay Chandrasekhar 001; Bernd Girod (ICIP, 2019)

TEA-DNN: the Quest for Time-Energy-Accuracy Co-optimized Deep Neural Networks. - Lile Cai; Anne-Maelle Barneche; Arthur Herbout; Chuan Sheng Foo; Jie Lin 001; Vijay Ramaseshan Chandrasekhar; Mohamed M. Sabry Aly (ISLPED, 2019)

Dataflow-based Joint Quantization of Weights and Activations for Deep Neural Networks. - Xue Geng; Jie Fu 001; Bin Zhao; Jie Lin 001; Mohamed M. Sabry Aly; Christopher J. Pal; Vijay Chandrasekhar 001 (CoRR, 2019)

CaRENets: Compact and Resource-Efficient CNN for Homomorphic Inference on Encrypted Medical Images. - Jin Chao; Ahmad Al Badawi; Balagopal Unnikrishnan; Jie Lin 001; Chan Fook Mun; James M. Brown 001; J. Peter Campbell; Michael F. Chiang; Jayashree Kalpathy-Cramer; Vijay Ramaseshan Chandrasekhar; Pavitra Krishnaswamy; Khin Mi Mi Aung (CoRR, 2019)

Compact Descriptors for Video Analysis: The Emerging MPEG Standard. - Ling-Yu Duan; Yihang Lou; Yan Bai; Tiejun Huang 001; Wen Gao 001; Vijay Chandrasekhar 001; Jie Lin 001; Shiqi Wang 001; Alex ChiChung Kot (IEEE Multim., 2019)

Trademark image retrieval via transformation-invariant deep hashing. - Zhaoqiang Xia; Jie Lin 001; Xiaoyi Feng (J. Vis. Commun. Image Represent., 2019)

Codebook-Free Compact Descriptor for Scalable Visual Search. - Yuwei Wu 001; Feng Gao 014; Yicheng Huang; Jie Lin 001; Vijay Chandrasekhar 001; Junsong Yuan 001; Ling-Yu Duan (IEEE Trans. Multim., 2019)

Semi-Supervised Multi-Modal Learning with Balanced Spectral Decomposition. - Peng Hu 002; Hongyuan Zhu; Xi Peng 001; Jie Lin 001 (AAAI, 2020)

Object Tracking Via ImageNet Classification Scores. - Li Wang 057; Ting Liu 009; Bing Wang 003; Jie Lin 001; Xulei Yang; Gang Wang 012 (ICIP, 2020)

Cascaded Mixed-Precision Networks. - Xue Geng; Jie Lin 001; Shaohua Li (ICIP, 2020)

A*3D Dataset: Towards Autonomous Driving in Challenging Environments. - Quang-Hieu Pham; Pierre Sevestre; Ramanpreet Singh Pahwa; Huijing Zhan; Chun Ho Pang; Yuda Chen; Armin Mustafa; Vijay Chandrasekhar 001; Jie Lin 001 (ICRA, 2020)

Role-Wise Data Augmentation for Knowledge Distillation. - Jie Fu 001; Xue Geng; Zhijian Duan 001; Bohan Zhuang; Xingdi Yuan; Adam Trischler; Jie Lin 001; Chris Pal; Hao Dong 003 (CoRR, 2020)

Learning to Prune Deep Neural Networks via Reinforcement Learning. - Manas Gupta; Siddharth Aravindan; Aleksandra Kalisz; Vijay Chandrasekhar 001; Jie Lin 001 (CoRR, 2020)

OPQ: Compressing Deep Neural Networks with One-shot Pruning-Quantization. - Peng Hu 002; Xi Peng 001; Hongyuan Zhu; Mohamed M. Sabry Aly; Jie Lin 001 (AAAI, 2021)

Learning Cross-Modal Retrieval With Noisy Labels. - Peng Hu 002; Xi Peng 001; Hongyuan Zhu; Liangli Zhen; Jie Lin 001 (CVPR, 2021)

PSRR-MaxpoolNMS: Pyramid Shifted MaxpoolNMS With Relationship Recovery. - Tianyi Zhang 004; Jie Lin 001; Peng Hu 002; Bin Zhao; Mohamed M. Sabry Aly (CVPR, 2021)

Efficient Tunstall Decoder for Deep Neural Network Compression. - Chunyun Chen; Zhe Wang 019; Xiaowei Chen; Jie Lin 001; Mohamed M. Sabry Aly (DAC, 2021)

Rate-Distortion Optimized Coding for Efficient CNN Compression. - Wang Zhe; Jie Lin 001; Mohamed M. Sabry Aly; Sean I. Young; Vijay Chandrasekhar 001; Bernd Girod (DCC, 2021)

PAN: Personalized Attention Network For Outfit Recommendation. - Huijing Zhan; Jie Lin 001 (ICIP, 2021)

A*HAR: A New Benchmark towards Semi-supervised learning for Class-imbalanced Human Activity Recognition. - Govind Narasimman; Kangkang Lu 001; Arun Raja; Chuan Sheng Foo; Mohamed M. Sabry Aly; Jie Lin 001; Vijay Chandrasekhar 001 (CoRR, 2021)

FFConv: Fast Factorized Neural Network Inference on Encrypted Data. - Yuxiao Lu; Jie Lin 001; Chao Jin 002; Zhe Wang 019; Khin Mi Mi Aung; Xiaoli Li 001 (CoRR, 2021)

Few-Shot Segmentation with Global and Local Contrastive Learning. - Weide Liu; Zhonghua Wu; Henghui Ding; Fayao Liu; Jie Lin 001; Guosheng Lin (CoRR, 2021)

Cross-modal discriminant adversarial network. - Peng Hu 002; Xi Peng 001; Hongyuan Zhu; Jie Lin 001; Liangli Zhen; Wei Wang 283; Dezhong Peng (Pattern Recognit., 2021)

Joint Versus Independent Multiview Hashing for Cross-View Retrieval. - Peng Hu 002; Xi Peng 001; Hongyuan Zhu; Jie Lin 001; Liangli Zhen; Dezhong Peng (IEEE Trans. Cybern., 2021)

Towards the AlexNet Moment for Homomorphic Encryption: HCNN, the First Homomorphic CNN on Encrypted Data With GPUs. - Ahmad Al Badawi; Chao Jin 002; Jie Lin 001; Chan Fook Mun; Sim Jun Jie; Benjamin Hong Meng Tan; Xiao Nan; Khin Mi Mi Aung; Vijay Ramaseshan Chandrasekhar (IEEE Trans. Emerg. Top. Comput., 2021)

Pose-Normalized and Appearance-Preserved Street-to-Shop Clothing Image Generation and Feature Learning. - Huijing Zhan; Chenyu Yi; Boxin Shi; Jie Lin 001; Ling-Yu Duan; Alex C. Kot (IEEE Trans. Multim., 2021)

Lifelog Image Retrieval Based on Semantic Relevance Mapping. - Qianli Xu; Ana Garcia del Molino; Jie Lin 001; Fen Fang; Vigneshwaran Subbaraju; Liyuan Li; Joo-Hwee Lim (ACM Trans. Multim. Comput. Commun. Appl., 2021)

Multi-GPU Design and Performance Evaluation of Homomorphic Encryption on GPU Clusters. - Ahmad Al Badawi; Bharadwaj Veeravalli; Jie Lin 001; Xiao Nan; Kazuaki Matsumura; Khin Mi Mi Aung (IEEE Trans. Parallel Distributed Syst., 2021)

Point Discriminative Learning for Data-efficient 3D Point Cloud Analysis. - Fayao Liu; Guosheng Lin; Chuan-Sheng Foo; Chaitanya K. Joshi; Jie Lin 001 (3DV, 2022)

Scalable Hardware Acceleration of Non-Maximum Suppression. - Chunyun Chen; Tianyi Zhang 004; Zehui Yu; Adithi Raghuraman; Shwetalaxmi Udayan; Jie Lin 001; Mohamed M. Sabry Aly (DATE, 2022)

RDO-Q: Extremely Fine-Grained Channel-Wise Quantization via Rate-Distortion Optimization. - Zhe Wang 019; Jie Lin 001; Xue Geng; Mohamed M. Sabry Aly; Vijay Chandrasekhar 001 (ECCV (12), 2022)

Channel-Wise Bit Allocation for Deep Visual Feature Quantization. - Wei Wang 283; Zhuo Chen 006; Zhe Wang 019; Jie Lin 001; Long Xu 001; Weisi Lin (ICIP, 2022)

Long-tailed Recognition by Learning from Latent Categories. - Weide Liu; Zhonghua Wu; Yiming Wang; Henghui Ding; Fayao Liu; Jie Lin 001; Guosheng Lin (CoRR, 2022)

Is Complexity Required for Neural Network Pruning? A Case Study on Global Magnitude Pruning. - Manas Gupta; Efe Camci; Vishandi Rudy Keneta; Abhishek Vaidyanathan; Ritwik Kanodia; Chuan-Sheng Foo; Min Wu 008; Jie Lin 001 (CoRR, 2022)

Towards high performance homomorphic encryption for inference tasks on CPU: An MPI approach. - Souhail Meftah; Benjamin Hong Meng Tan; Khin Mi Mi Aung; Yuxiao Lu; Jie Lin 001; Bharadwaj Veeravalli (Future Gener. Comput. Syst., 2022)

QLP: Deep Q-Learning for Pruning Deep Neural Networks. - Efe Camci; Manas Gupta; Min Wu 008; Jie Lin 001 (IEEE Trans. Circuits Syst. Video Technol., 2022)

Deep Semisupervised Multiview Learning With Increasing Views. - Peng Hu 002; Xi Peng 001; Hongyuan Zhu; Liangli Zhen; Jie Lin 001; Huaibai Yan; Dezhong Peng (IEEE Trans. Cybern., 2022)

$A^3$-FKG: Attentive Attribute-Aware Fashion Knowledge Graph for Outfit Preference Prediction. - Huijing Zhan; Jie Lin 001; Kenan Emir Ak; Boxin Shi; Ling-Yu Duan; Alex C. Kot (IEEE Trans. Multim., 2022)

Unlimited Knowledge Distillation for Action Recognition in the Dark. - Ruibing Jin; Guosheng Lin; Min Wu 008; Jie Lin 001; Zhengguo Li; Xiaoli Li 001; Zhenghua Chen (CoRR, 2023)

Efficient Joint Optimization of Layer-Adaptive Weight Pruning in Deep Neural Networks. - Kaixin Xu; Zhe Wang 019; Xue Geng; Jie Lin 001; Min Wu 008; Xiaoli Li 001; Weisi Lin (CoRR, 2023)

Unsupervised Contrastive Cross-Modal Hashing. - Peng Hu 002; Hongyuan Zhu; Jie Lin 001; Dezhong Peng; Yin-Ping Zhao; Xi Peng 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

LPViT: Low-Power Semi-structured Pruning for Vision Transformers. - Kaixin Xu; Zhe Wang 019; Chunyun Chen; Xue Geng; Jie Lin 001; Xulei Yang; Min Wu 008; Xiaoli Li 001; Weisi Lin (ECCV (71), 2024)

Adaptive Masked Autoencoder Transformer for image classification. - Xiangru Chen; Chenjing Liu; Peng Hu 002; Jie Lin 001; Yunhong Gong; Yingke Chen; Dezhong Peng; Xue Geng (Appl. Soft Comput., 2024)

Evolving masked low-rank transformer for long text understanding. - Chenjing Liu; Xiangru Chen; Jie Lin 001; Peng Hu 002; Junfeng Wang; Xue Geng (Appl. Soft Comput., 2024)

From Algorithm to Hardware: A Survey on Efficient and Safe Deployment of Deep Neural Networks. - Xue Geng; Zhe Wang 019; Chunyun Chen; Qing Xu 015; Kaixin Xu; Chao Jin 002; Manas Gupta; Xulei Yang; Zhenghua Chen; Mohamed M. Sabry Aly; Jie Lin 001; Min Wu 008; et al. (CoRR, 2024)

Evolving filter criteria for randomly initialized network pruning in image classification. - Xiangru Chen; Chenjing Liu; Peng Hu 002; Jie Lin 001; Yunhong Gong; Yingke Chen; Dezhong Peng; Xue Geng (Neurocomputing, 2024)

Deep Supervised Multi-View Learning With Graph Priors. - Peng Hu 002; Liangli Zhen; Xi Peng 001; Hongyuan Zhu; Jie Lin 001; Xu Wang 028; Dezhong Peng (IEEE Trans. Image Process., 2024)

LCReg: Long-tailed image classification with Latent Categories based Recognition. - Weide Liu; Zhonghua Wu; Yiming Wang; Henghui Ding; Fayao Liu; Jie Lin 001; Guosheng Lin (Pattern Recognit., 2024)

On Representation Knowledge Distillation for Graph Neural Networks. - Chaitanya K. Joshi; Fayao Liu; Xu Xun; Jie Lin 001; Chuan Sheng Foo (IEEE Trans. Neural Networks Learn. Syst., 2024)

PSRR-MaxpoolNMS++: Fast Non-Maximum Suppression With Discretization and Pooling. - Tianyi Zhang 004; Chunyun Chen; Yun Liu 011; Xue Geng; Mohamed M. Sabry Aly; Jie Lin 001 (IEEE Trans. Pattern Anal. Mach. Intell., 2025)

From Algorithm to Hardware: A Survey on Efficient and Safe Deployment of Deep Neural Networks. - Xue Geng; Zhe Wang 019; Chunyun Chen; Qing Xu 015; Kaixin Xu; Jin Chao; Manas Gupta; Xulei Yang; Zhenghua Chen; Mohamed M. Sabry Aly; Jie Lin 001; Min Wu 008; et al. (IEEE Trans. Neural Networks Learn. Syst., 2025)