Selected Publications

Check my full publication list on Google Scholar.
* denotes corresponding author, ^ denotes equal contribution.

Book Chapter

Deep Learning-Based Descriptors for Object Instance Search.
Jie Lin, Olivier Morere, Antoine Veillard, Vijay Chandrasekhar. in Deep Learning in Object Detection and Recognition. Springer 2019.

Conferences

• Scalable Hardware Accelerator of Non-Maximum Suppression.
  Chunyun Chen, Tianyi Zhang, Yuze Hui, Adithi Raghuraman, Shwetalaxmi Udayan, Jie Lin, Mohamed M. Sabry Aly. Design, Automation and Test in Europe (DATE). DATE 2022. [pdf, bibtex]
  

• PSRR-MaxpoolNMS: Pyramid Shifted MaxpoolNMS with Relationship Recovery.
  Tianyi Zhang, Jie Lin*, Peng Hu, Bin Zhao, Mohamed M. Sabry Aly. IEEE Conference on Computer Vision and Pattern Recognition (CVPR). CVPR 2021. [pdf, bibtex]
  

• Learning Cross-modal Retrieval with Noisy Labels.
  Peng Hu, Xi Peng, Hongyuan Zhu, Liangli Zhen, Jie Lin. IEEE Conference on Computer Vision and Pattern Recognition (CVPR). CVPR 2021. [pdf, bibtex]
  

• Efficient Tunstall Decoder for Deep Neural Network Compression.
  Chunyun Chen, Zhe Wang, Xiaowei Chen, Jie Lin, Mohamed M. Sabry Aly. Design Automation Conference (DAC). DAC 2021. [pdf, bibtex]
  

• OPQ: Compressing Deep Neural Networks with One-shot Pruning-Quantization.
  Peng Hu, Xi Peng, Hongyuan Zhu, Mohamed M. Sabry Aly, Jie Lin*. AAAI Conference on Artificial Intelligence (AAAI). AAAI 2021. [pdf]
  

• Multimodal Multitask Deep Learning for X-Ray Image Retrieval.
  Yang Yu, Peng Hu, Jie Lin, Pavitra Krishnaswamy. Medical Image Computing and Computer Assisted Interventions. MICCAI 2021. [pdf, bibtex]
  

• Semi-supervised Multi-modal Learning with Balanced Spectral Decomposition.
  Peng Hu, Hongyuan Zhu, Xi Peng, Jie Lin*. AAAI Conference on Artificial Intelligence (AAAI). AAAI 2020. [pdf, bibtex]
  

• 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, Jie Lin*. International Conference on Robotics and Automation (ICRA). ICRA 2020. [pdf, bibtex]
  

• East-DNN: Expediting architectural simulations using deep neural networks.
  Arko Dutt, Govind Narasimman, Jie Lin, Vijay Chandrasekhar, Mohamed M. Sabry. International Conference on Hardware/Software Codesign and System Synthesis (CODES+ISSS). CODES+ISSS 2019. [pdf, bibtex]
  

• Optimizing the Bit Allocation for Compression of Weights and Activations of Deep Neural Networks.
  Zhe Wang, Jie Lin, Vijay Chandrasekhar, Bernd Girod. IEEE International Conference on Image Processing (ICIP). ICIP 2019. (Top 10% Paper) [pdf, bibtex]
  

• 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, Vijay Chandrasekhar, Mohamed M Sabry Aly. IEEE/ACM International Symposium on Low Power Electronics and Design (ISLPED). ISLPED 2019. (Best paper nomination) [pdf, bibtex]
  

• MaxpoolNMS: Getting Rid of NMS Bottlenecks in Two-Stage Object Detectors.
  Lile Cai, Bin Zhao, Zhe Wang, Jie Lin, Chuan Sheng Foo, Mohamed Sabry Aly, Vijay Chandrasekhar. IEEE Conference on Computer Vision and Pattern Recognition (CVPR). CVPR 2019. [pdf, bibtex]
  

• Truly Multi-modal YouTube-8M Video Classification with Video, Audio, and Text.
  Zhe Wang, Kingsley Kuan, Mathieu Ravaut, Gaurav Manek, Sibo Song, Fang Yuan, Kim Seokhwan, Nancy Chen, Luis Fernando D’Haro Enriquez, Luu Anh Tuan, Hongyuan Zhu, Zeng Zeng, Ngai Man Cheung, Georgios Piliouras, Jie Lin, Vijay Chandrasekhar. CVPR Workshop on YouTube-8M Large-Scale Video Understanding, 2017. [pdf]
  

• Nested Invariance Pooling and RBM Hashing for Image Instance Retrieval.
  Olivier Morere^, Jie Lin^, Antoine Veillard^, Lingyu Duan, Vijay Chandrasekhar^, Tomaso Poggio. ACM International Conference on Multimedia Retrieval (ICMR). ICMR 2017. (Best paper nomination) [pdf, bibtex]
  

• DeepHash for Image Instance Retrieval: Getting Regularization, Depth and Fine-Tuning Right.
  Jie Lin^, Olivier Morere^, Antoine Veillard^, Lingyu Duan, Hanlin Goh, Vijay Chandrasekhar^. ACM International Conference on Multimedia Retrieval (ICMR). ICMR 2017. [pdf, bibtex]
  

• Object Detection Meets Knowledge Graphs.
  Yuan Fang, Kingsley Kuan, Jie Lin, Cheston Tan, Vijay Chandrasekhar. Proceedings of International Joint Conference on Artifical Intelligence (IJCAI). IJCAI 2017. [pdf, bibtex]
  

• Compression of Deep Neural Networks for Image Instance Retrieval.
  Vijay Chandrasekhar^, Jie Lin^, Qianli Liao^, Olivier Morère, Antoine Veillard, Lingyu Duan, Tomaso Poggio. Data Compression Conference (DCC). DCC 2017. [pdf, bibtex]
  

• Tiny Descriptors for Image Retrieval with Unsupervised Triplet Hashing.
  Jie Lin, Olivier Morere, Julie Petta, Vijay Chandrasekhar, Antoine Veillard. Data Compression Conference (DCC). DCC 2016. [pdf, bibtex]
  

• Compact Global Descriptors for Visual Search.
  Vijay Chandrasekhar, Jie Lin, Olivier Morere, Antoine Veillard, Hanlin Goh. Data Compression Conference (DCC). DCC 2015. [pdf, bibtex]
  

• Hamming Compatible Quantization for Hashing.
  Zhe Wang, Ling-Yu Duan, Jie Lin, Xiaofang Wang, Tiejun Huang, Wen Gao. Proceedings of International Joint Conference on Artifical Intelligence (IJCAI). IJCAI 2015. [pdf, bibtex]
  

• Robust fisher codes for large scale image retrieval.
  Jie Lin, Ling-Yu Duan, Tiejun Huang, Wen Gao. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). ICASSP 2013. [pdf, bibtex]
  

• Learning Multiple Codebooks for Low-Bit-Rate Mobile Visual Search.
  Jie Lin, Ling-Yu Duan, Jie Chen, Rongrong Ji, Siwei Luo, Wen Gao. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). ICASSP 2012. [pdf, bibtex]
  

Journals

• Deep Semisupervised Multiview Learning With Increasing Views.
  Peng Hu, Xi Peng, Hongyuan Zhu, Liangli Zhen, Jie Lin, Huaibai Yan, Dezhong Peng. IEEE Transactions on Cybernetics (T-CYB). T-CYB 2021.
  

• A3-FKG: Attentive Attribute-Aware Fashion Knowledge Graph for Outfit Preference Prediction.
  Huijing Zhan, Jie Lin*, Kenan Emir Ak, Boxin Shi, Ling-Yu Duan, Alex C. Kot. IEEE Transactions on Multimedia (T-MM). T-MM 2021.
  

• Cross-modal Discriminant Adversarial Network.
  Peng Hu, Xi Peng, Hongyuan Zhu, Jie Lin, Liangli Zhen, Wei Wang, Dezhong Peng. Pattern Recognition (PR). PR 2021.
  

• Lifelog Image Retrieval Based on Semantic Relevance Mapping.
  Qianli Xu, Ana Garcia Del Molino, Jie Lin, Fen Fang, Vigneshwaran Subbaraju, Liyuan Li, Joo-Hwee Lim. ACM Transactions on Multimedia Computing, Communications, and Applications (TOMM). TOMM 2021.
  

• Joint vs. Independent Multi-view Hashing for Cross-view Retrieval.
  Peng Hu, Xi Peng, Hongyuan Zhu, Jie Lin, Liangli Zhen, Dezhong Peng. IEEE Transactions on Cybernetics (T-CYB). T-CYB 2020.
  

• Pose-Normalized and Appearance-Preserved Street-to-Shop Clothing Image Generation and Feature Learning.
  Huijing Zhan, Chenyu Yi, Boxin Shi, Jie Lin, Ling-Yu Duan, Alex C. Kot. IEEE Transactions on Multimedia (T-MM). T-MM 2020.
  

• Towards the AlexNet Moment for Homomorphic Encryption: HCNN, the First Homomorphic CNN on Encrypted Data with GPUs.
  Qaisar Ahmad Al Badawi Ahmad, Chao Jin, Jie Lin, Mun Chan, Jie Sim, Tan Benjamin, Nan Xiao, Khin Aung, Vijay Chandrasekhar. IEEE Transactions on Emerging Topics in Computing (T-ETC). T-ETC 2020.
  

• Multi-GPU Design and Performance Evaluation of Homomorphic Encryption on GPU Clusters.
  Qaisar Ahmad Al Badawi Ahmad, Bharadwaj Veeravalli, Jie Lin, Nan Xiao, Kazuaki Matsumura, Khin Aung. IEEE Transactions on Parallel and Distributed Systems (T-PDS). T-PDS 2020.
  

• Codebook-Free Compact Descriptor for Scalable Visual Search.
  Yuwei Wu, Feng Gao, Yicheng Huang, Jie Lin, Vijay Chandrasekhar, Junsong Yuan, Lingyu Duan. IEEE Transactions on Multimedia (T-MM). T-MM 2018.
  

• HNIP: Compact Deep Invariant Representations for Video Matching, Localization and Retrieval.
  Jie Lin, Lingyu Duan, Shiqi Wang, Yan Bai, Yihang Lou, Vijay Chandrasekhar, Tiejun Huang, Alex Kot, Wen Gao. IEEE Transactions on Multimedia (T-MM). T-MM 2017.
  

• 3DHoPD: A Fast Low Dimensional 3D Descriptor.
  Sai Manoj Prakhya, Jie Lin, Vijay Chandrasekhar, Weisi Lin, Bingbing Liu. IEEE Robotics and Automation Letters (IEEE RAL). IEEE RAL 2017.
  

• Towards Detection of Bus Driver Fatigue Based on Robust Visual Analysis of Eye State.
  Bappaditya Mandal, Liyuan Li, Gang Wang, Jie Lin. IEEE Trans. on Intelligent Transportation Systems (T-ITS). T-ITS 2016.
  

• Overview of the MPEG-CDVS standard.
  Lingyu Duan, Vijay Chandrasekhar, Jie Chen, Jie Lin, Zhe Wang, Tiejun Huang, Bernd Girod, Wen Gao. IEEE Trans. on Image Processing (T-IP). T-IP 2016.
  

• Weighted Component Hashing of Binary Aggregated Descriptors for Fast Visual Search.
  Lingyu Duan, Jie Lin, Zhe Wang, Tiejun Huang, Wen Gao. IEEE Transactions on Multimedia (T-MM). T-MM 2015.
  

• Rate-adaptive Compact Fisher Codes for Mobile Visual Search.
  Jie Lin, Lingyu Duan, Yaping Huang, Siwei Luo, Tiejun Huang, Wen Gao. IEEE Signal Processing Letters. IEEE SPL 2014.