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Chen Zhuo
Ph.D. student

Biography

I am a Ph.D. candidate at ROSE Lab in Nanyang Technological University (NTU), under the supervision of Prof. Lin Weisi, Prof. Alex Kot, Assoc Prof. Lap-Pui Chau and Assoc Prof. YAP Kim Hui. Formerly I was a deep learning engineer in LLVISION and a research assistant in NAOC, which I joined in 2014 after receiving my Bachelor degree. My research interests are in deep learning and feature coding.

Education&Experience

Aug. 2016 - Present
Ph.D. Candidate, Rapid-Rich Object Search Lab, Interdisciplinary Graduate School, Nanyang Technological University, Singapore
Oct. 2017 - Present
Intern, Panasonic R&D Center Singapore, Singapore
Feb. 2017 - Present
Intern, I2R, A*STAR, Singapore
Jan. 2016 - Dec. 2016
Deep Learning Engineer, Beijing LLVision Co., Ltd., Beijing, China
Apr. 2014 - Jul. 2016
Research Assistant, National Astronomical Observatories, Chinese Academy of Sciences, Beijing, China
Sep. 2010 - Jul. 2014
Bachelor of Engineering, School of Electronic and Information Engineering, Beijing Jiaotong University, China

Publications

Lossy Intermediate Deep Learning Feature Compression and Evaluation
Zhuo Chen, Kui Fan, Shiqi Wang, Lingyu Duan, Weisi Lin, Alex Chichung Kot
ACM Multimedia 2019, Nice, France, 21-25 Oct. 2019
[Full Text]
Toward Intelligent Sensing: Intermediate Deep Feature Compression
Zhuo Chen, Kui Fan, Shiqi Wang, Lingyu Duan, Weisi Lin, Alex Chichung Kot
IEEE Transactions on Image Processing, vol. 29, pp. 2230-2243, 2020.
[Full Text]
Beyond Ranking Loss: Deep Holographic Networks for Multi-label Video Search
Zhuo Chen, Jie Lin, Zhe Wang, Vijay Chandrasekhar, Weisi Lin
IEEE ICIP 2019, Taipei, Taiwan, 22-25 Sep. 2019
[Full Text]
Unified No-Reference Quality Assessment of Singly and Multiply Distorted Stereoscopic Images
Qiuping Jiang, Feng Shao, Wei Gao, Zhuo Chen, Gangyi Jiang, Yo-Sung Ho
IEEE Transactions on Image Processing, vol. 28, no. 4, pp. 1866-1881, Apr. 2019.
[Full Text]
Image Quality Assessment Guided Deep Neural Networks Training
Zhuo Chen, Weisi Lin, Shiqi Wang, Long Xu, Leida Li
arxiv, identifier 1708.03880
[Full Text] [Arxiv]
Image Quality Assessment Based Label Smoothing in Deep Neural Network Learning
Zhuo Chen, Weisi Lin, Shiqi Wang, Long Xu, Leida Li
IEEE ICASSP 2018, Calgary, Canada, 15-20 Apr. 2018 [Oral Presentation]
[Full Text]
Convolutional neural network for classification of solar radio spectrum
Sisi Chen, Long Xu, Lin Ma, Weiqiang Zhang, Zhuo Chen, Yihua Yan
IEEE ICMEW 2017, Hong Kong, China, 10-14 Jul. 2017
[Full Text]
Forecasting of ionospheric vertical total electron content (TEC) using LSTM networks
Wenqing Sun, Long Xu, Xin Huang, Weiqiang Zhang, Tianjiao Yuan, Zhuo Chen, Yihua Yan
ICMLC 2017, Ningbo, China, 9-12 Jul. 2017
[Full Text]
Imaging and Representation Learning of Solar Radio Spectrums for Classification
Zhuo Chen, Lin Ma, Long Xu, Chengming Tan, Yihua Yan
Multimedia Tools and Applications, vol. 75, no. 5, pp. 2859-2875, Mar. 2016.
[Full Text]
Multimodal Deep Learning for Solar Radio Burst Classification
Lin Ma, Zhuo Chen, Long Xu, and Yihua Yan
Pattern Recognition, vol. 61, pp. 573-582, Jan. 2017.
[Full Text]
Natural Image Statistics based 3D Reduced Reference Image Quality Assessment in Contourlet Domain
Xu Wang, Qiong Liu, Ran Wang, Zhuo Chen
Neurocomputing, vol. 151, no. 2, pp. 683-691, Mar. 2015.
[Full Text]
Multimodal Learning for Classification of Solar Radio Spectrum
Zhuo Chen, Lin Ma, Long Xu, Yihua Yan
IEEE International Conference on Systems, Man, and Cybernetics (SMC 2015), Hong Kong, Oct. 9-12, 2015. [Oral Presentation]
[Full Text]
Perceptual Image Quality Enhancement for Solar Radio Image
Long Xu, Lin Ma, Zhuo Chen, Xianyou Zeng, and Yihua Yan
International Conference on Quality of Multimedia Experience (QoMex 2016), Lisbon, Portugal, Jun. 6-8, 2016. [Poster Presentation]
[Full Text]
Perceptual Quality Improvement for Synthesis Imaging of Chinese Spectral Radiohelograph
Long Xu, Lin Ma, Zhuo Chen, Yihua Yan, and Jinjian Wu
Pacific-Rim Conference on Multimedia (PCM 2015), Gwangju, Korea, Sep. 16-18, 2015. [Poster Presentation]
[Full Text]
Solar Radio Astronomical Big Data Classification
Long Xu, Ying Weng, Zhuo Chen
International Conference on High Performance Computing and Applications (HPCA 2015), Shanghai, China, Jul. 26-30, 2015. [Oral Presentation]
[Full Text]

Standard Contributions

MPEG129, Brussels, Belgium, Jan. 2020
Zhuo Chen, Ziqian Chen, Ling-Yu Duan, Weisi Lin, Alex Chichung Kot, "CNN Feature Map Coding for Cloud-based Visual Analysis," ISO/IEC JTC1/SC29/WG11 MPEG2020/m52162
71st AVS Meeting, Shenzhen, China, Dec. 2019
Zhuo Chen, Wenhan Zhang, Lingyu Duan, "Discuss on hardware implementation for feature maps coding," Audio Video Coding Standard (AVS) document AI M1168
71st AVS Meeting, Shenzhen, China, Dec. 2019
Zhuo Chen, Kui Fan, Weisi Lin, Lingyu Duan, Alex C. Kot, "Additional evaluations for the video-codec-based coding framework," Audio Video Coding Standard (AVS) document AI M1154
70th AVS Meeting, Haikou, China, Aug. 2019
Zhuo Chen, Kui Fan, Weisi Lin, Qiang Fu, Lingyu Duan, Alex C. Kot, "Mode extension for Pre-quantization and Repack modules," Audio Video Coding Standard (AVS) document AI M1122
69th AVS Meeting, Chengdu, China, Jun. 2019
Zhuo Chen, Kui Fan, Weisi Lin, Lingyu Duan, Alex C. Kot, "Minimum Standardization for Lossy Deep Feature Map Compression," Audio Video Coding Standard (AVS) document AI M1100
68th AVS Meeting, Qingdao, China, Mar. 2019
Zhuo Chen, Kui Fan, Weisi Lin, Lingyu Duan, Alex C. Kot, "To Support Integer Input for the Lossy Compression Framework of Deep Feature Maps," Audio Video Coding Standard (AVS) document AI M1089
68th AVS Meeting, Qingdao, China, Mar. 2019
Zhuo Chen, Kui Fan, Weisi Lin, Lingyu Duan, Alex C. Kot, "Upgrades for Framework and Test Condition for Lossy Compression of Deep Feature Maps," Audio Video Coding Standard (AVS) document AI M1088
8 Dec. 2018 - 15 Jan. 2019
Zhuo Chen was the software coordinator for the reference software development of AVS/AITISA Visual Feature Coding Group
67th AVS Meeting, Xiamen, China, Dec. 2018
Zhuo Chen, Kui Fan, Weisi Lin, Lingyu Duan, Alex C. Kot, Tiejun Huang, "The Framework and Test Condition for Lossy Compression of Deep Feature Maps," Audio Video Coding Standard (AVS) document AI M1061
66th AVS Meeting, Changchun, China, Aug. 2018
Zhuo Chen, Kui Fan, Weisi Lin, Lingyu Duan, Alex C. Kot, Tiejun Huang, "Lossy Compression of Deep Feature Maps with Video Codecs," Audio Video Coding Standard (AVS) document AI M1030
65th AVS Meeting, Hefei, China, Jun. 2018
Zhuo Chen, Kui Fan, "Test Condition for Lossy Compression of Deep Feature Maps," Audio Video Coding Standard (AVS) document AI M1014
65th AVS Meeting, Hefei, China, Jun. 2018
Kui Fan, Zhuo Chen, "Framework for Lossy Compression of Deep Feature Maps," Audio Video Coding Standard (AVS) document AI M1013

Awards&Honors

Feb. 2016
Won 1st place in track 1 of EmotionNet Challenge 2017
Oct. 2018
Won 3st place in Ad-hoc Video Search (AVS) task of TRECVID Challenge 2018
Jul. 2019
Top 10 teams in 2019 WorldQuant Challenge National (Singapore) Final

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