Yinda Zhang

I am a research scientist and manager at Google. My research interests lie at the intersection of computer vision, computer graphics, and machine learning. I've been working on a broad range of topics, including 3D reconstruction, scene understanding, neural rendering, digital human, and large generative models. Recently, I am particularly interested in infusing human-centric and 3D knowledge into large generative models for consistent, realistic, and immersive content generation. At Google, I am leading a team in delivering cutting-edge immersive communication and perception technologies.

I received my Ph.D. in Computer Science from Princeton University, advised by Prof. Thomas Funkhouser. Before that, I received a Bachelor degree from Dept. Automation in Tsinghua University, and a Master degree from Dept. ECE in National University of Singapore co-supervised by Prof. Ping Tan and Prof. Shuicheng Yan.

Intern and full-time opportunities are available! Feel free to reach out!

Email:	yindanospamz (at) gmail (dot) com
Find me on:	Google Scholar GitHub LinkedIn

TC‐GEN: Data‐Driven Tropical Cyclone Downscaling Using Machine Learning‐Based High‐Resolution Weather Model

R. Jing, J. Gao, Y. Cai, D. Xi, Y. Zhang, Y. Fu, K. Emanuel, N. Diffenbaugh, E. Bendavid

Journal of Adbances in Modeling Earth System

[Paper]

DiffGrasp: Whole-Body Grasping Synthesis Guided by Object Motion Using a Diffusion Model

Y. Zhang, Q. He, Y. Wan, Y. Zhang, X. Deng, C. Ma, H. Wang

AAAI Conference on Artificial Intelligence (AAAI2025)

HOGSA: Bimanual Hand-Object Interaction Understanding with 3D Gaussian Splatting Based Data Augmentation

W. Qu, J. Li, J. Cheng, J. Shi, C. Meng, C. Ma, H. Wang, X. Deng, Y. Zhang

AAAI Conference on Artificial Intelligence (AAAI2025)

EgoAvatar: Egocentric View-Driven and Photorealistic Full-body Avatars

J. Chen, J. Wang, Y. Zhang, R. Pandey, T. Beeler, M. Habermann, C. Theobalt

ACM SIGGRAPH ASIA 2024

[Paper] [Project Webpage]

Dynamic 3D Gaussian Prediction for Motion Extrapolation and Free View Synthesis

B. Zhao^*, Y. Li^*, Z. Sun, L. Zeng, Y. Shen, R. Ma, Y. Zhang, H. Bao, Z. Cui

ACM SIGGRAPH 2024

[Paper] [Project Webpage]

Gaussian3Diff: 3D Gaussian Diffusion for 3D Full Head Synthesis and Editing

Y. Lan, F. Tan, D. Qiu, Q. Xu, K. Genova, Z. Huang, S. Fanello, R. Pandey, T. Funkhouser, C. Loy, Y. Zhang

European Conference on Computer Vision (ECCV 2024)

[Paper] [Project Webpage]

MVDD: Multi-View Depth Diffusion Models

Z. Wang, Q. Xu, F. Tan, M. Chai, S. Liu, R. Pandey, S. Fanello, A. Kadambi, Y. Zhang

European Conference on Computer Vision (ECCV 2024)

[Paper] [Project Webpage]

GeneAvatar: Generic Expression-Aware Volumetric Head Avatar Editing from a Single Image

C. Bao^*, Y. Zhang^*, Y. Li^*, X. Zhang, B. Yang, H. Bao, M. Pollefeys, G. Zhang, Z. Cui

Computer Vision and Pattern Recognition (CVPR 2024)

[Paper] [Project Webpage] [Codes]

MonoAvatar++: Efficient 3D Implicit Head Avatar with Mesh-anchored Hash Table Blendshapes

Z. Bai, F. Tan, S. Fanello, R. Pandey, M. Dou, S. Liu, P. Tan, Y. Zhang

Computer Vision and Pattern Recognition (CVPR 2024)

[Paper] [Project Webpage]

LitNeRF: Intrinsic Radiance Decomposition for High-Quality View Synthesis and Relighting of Faces

K. Sarkar, M. Bühler, G. Li, D. Wang, D. Vicini, J. Riviere, Y. Zhang, S. Orts-Escolano1, P. Gotardo, T. Beeler, A. Meka

ACM SIGGRAPH ASIA 2023

[Paper] [Project Webpage]

DeepSFM: Robust Deep Iterative Refinement for Structure From Motion

X. Wei, Y. Zhang, X. Ren, Z. Li, Y. Fu, X. Xue

IEEE Transactions on Pattern Analysis and Machine Intelligence, 10.1109/TPAMI.2023.3307567

[Paper] [Project Webpage]

Spectral Graphormer: Spectral Graph-based Transformer for Egocentric Two-Hand Reconstruction using Multi-View Color Images

THE. Tse, F. Mueller, Z. Shen, D. Tang, T. Beeler, M. Dou, Y. Zhang, S. Petrovic, HJ. Chang, J. Taylor, B. Doosti

International Conference on Computer Vision (ICCV 2023)

[Paper] [Project Webpage]

Learning Versatile 3D Shape Generation with Improved AR Models

S. Luo, X. Qian, Y. Fu, Y. Zhang, Y. Tai, Z. Zhang, C. Wang, X. Xue

International Conference on Computer Vision (ICCV 2023)

[Paper]

Self-supervised Learning of Implicit Shape Representation with Dense Correspondence for Deformable Objects

B. Zhang, J. Li, X. Deng, Y. Zhang, C. Ma, H. Wang

International Conference on Computer Vision (ICCV 2023)

[Paper] [Project Webpage]

Multi-modal neural radiance field for monocular dense slam with a light-weight tof sensor

X. Liu, Y. Li, Y. Teng, H. Bao, G. Zhang, Y. Zhang, Z. Cui

International Conference on Computer Vision (ICCV 2023)

[Paper] [Project Webpage]

Novel-view Synthesis and Pose Estimation for Hand-Object Interaction from Sparse Views

W. Qu, Z. Cui, Y. Zhang, C. Meng, C. Ma, X. Deng, H. Wang>

International Conference on Computer Vision (ICCV 2023)

[Paper] [Project Webpage]

MonoAvatar: Learning Personalized High Quality Volumetric Head Avatars from Monocular RGB Videos

Z. Bai, F. Tan, Z. Huang, K. Sarkar, D. Tang, D. Qiu, A. Meka, R. Du, M. Dou, S. Orts-Escolano, R. Pandey, P. Tan, T. Beeler, S. Fanello, Y. Zhang

Computer Vision and Pattern Recognition (CVPR 2023)

[Paper] [Project Webpage]

SINE: Semantic-driven Image-based NeRF Editing with Prior-guided Editing Field

C. Bao^*, Y. Zhang^*, B. Yang^*, T. Fan, Z. Yang, H. Bao, G. Zhang, Z. Cui

Computer Vision and Pattern Recognition (CVPR 2023)

[Paper] [Project Webpage] [Codes]

Hybrid Neural Rendering for Large-Scale Scenes with Motion Blur

P. Dai^*, Y. Zhang^*, X. Yu, X. Lyu, X. Qi

Computer Vision and Pattern Recognition (CVPR 2023)

[Paper] [Project Webpage] [Codes]

Grad-PU: Arbitrary-Scale Point Cloud Upsampling via Gradient Descent with Learned Distance Functions

Y. He, D. Tang, Y. Zhang, X. Xue, Y. Fu

Computer Vision and Pattern Recognition (CVPR 2023)

[Paper] [Project Webpage] [Codes]

Rapsai: Accelerating Machine Learning Prototyping of Multimedia Applications through Visual Programming

R. Du, N. Li, J. Jin, M. Carney, S. Miles, M. Kleiner, X. Yuan, Y. Zhang, A. Kulkarni, X. Liu, S. Orts-Escolano, A. Kar, P. Yu, R. Iyengar, A. Kowdle, A. Olwal

ACM SIG-CHI 2023

[Paper] [Project Webpage] [Codes]

NeuMesh: Learning Disentangled Neural Mesh-based Implicit Field for Geometry and Texture Editing

B. Yang, C. Bao, J. Zeng, H. Bao, Y. Zhang, Z. Cui, G. Zhang

European Conference on Computer Vision (ECCV 2022)

[Paper] [Project Webpage] [Codes]

DELTAR: Depth Estimation from a Light-weight ToF Sensor And RGB Image

Y. Li, X. Liu, W. Dong, H. Zhou, H. Bao, G. Zhang, Y. Zhang, Z. Cui,

European Conference on Computer Vision (ECCV 2022)

[Paper] [Project Webpage] [Codes and Data]

PRIF: Primary Ray-based Implicit Function

B. Feng, Y. Zhang, D. Tang, R. Du, A. Varshney

European Conference on Computer Vision (ECCV 2022)

[Paper] [Project Webpage] [Codes (Coming Soon)]

LoRD: Local 4D Implicit Representation for High-Fidelity Dynamic Human Modeling

B. Jiang, X. Ren, M. Dou, X. Xue, Y. Fu, Y. Zhang

European Conference on Computer Vision (ECCV 2022)

[Paper] [Project Webpage] [Codes]

Neural Rendering in a Room: Amodal 3D Understanding and Free-Viewpoint Rendering for the Closed Scene

B. Yang, Y. Zhang, Y. Li, Z. Cui, S. Fanello, H. Bao, G. Zhang

ACM SIGGRAPH (Transactions on Graphics, 2022)

[Paper] [Project Webpage] [Codes (Coming Soon)]

VoLux-GAN: A Generative Model for 3D Face Synthesis with HDRI Relighting

F. Tan, S. Fanello, A. Meka, S. Orts-Escolano, D. Tang, R. Pandey, J. Taylor, P. Tan, Y. Zhang

ACM SIGGRAPH (Conference Track, 2022)

[Paper] [Project Webpage] [Codes]

Human 4D Modeling by Learning Neural Compositional Representation

B. Jiang^*, Y. Zhang^*, X. Wei, X. Xue, Y. Fu

Computer Vision and Pattern Recognition (CVPR 2022)

[Paper] [Project Webpage] [Codes]

Density-preserving Deep Point Cloud Compression

Y. He, X. Ren, D. Tang, Y. Zhang, X. Xue, Y. Fu

Computer Vision and Pattern Recognition (CVPR 2022)

[Paper] [Project Webpage] [Codes]

Efficient Virtual View Selection for 3D Hand Pose Estimation

J. Cheng, Y. Wan, D. Zuo, C. Ma, J. Gu, P. Tan, H. Wang, X. Deng, Y. Zhang

AAAI Conference on Artificial Intelligence (AAAI2022)

[Paper] [Project Webpage] [Codes]

Recurrent 3D Hand Pose Estimation Using Cascaded Pose-guided 3D Alignments

X. Deng, D. Zuo, Y. Zhang, Z. Cui, J. Cheng, P. Tan, L. Chang, M. Pollefeys, S. Fanello, H. Wang

IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), DOI: 10.1109/TPAMI.2022.3159725

[Paper (Coming Soon)] [Project Webpage (Coming Soon)] [Codes (Coming Soon)]

DeepPanoContext: Panoramic 3D Scene Understanding with Holistic Scene Context Graph and Relation-based Optimization

C. Zhang, Z. Cui, C. Chen, S. Liu, B. Zeng, H. Bao, Y. Zhang

International Conference on Computer Vision (ICCV 2021), Oral Presentation

[Paper] [Project Webpage] [Codes]

Learning Object-Compositional Neural Radiance Field for Editable Scene Rendering

B. Yang, Y. Zhang, Y. Xu, Y. Li, H. Zhou, H. Bao, G. Zhang, Z. Cui

International Conference on Computer Vision (ICCV 2021)

[Paper] [Project Webpage] [Codes]

Multiresolution Deep Implicit Functions for 3D Shape Representation

Z. Chen, Y. Zhang, K. Genova, S. Fanello, S. Bouaziz, C. Haene, R. Du, C. Keskin, T. Funkhouser, D. Tang

International Conference on Computer Vision (ICCV 2021)

[Paper] [Codes]

Deep Hybrid Self-Prior for Full 3D Mesh Generation

X. Wei, Z. Chen, Y. Fu, Z. Cui, Y. Zhang

International Conference on Computer Vision (ICCV 2021)

[Paper] [Project Webpage] [Codes]

Interacting Two-Hand 3D Pose and Shape Reconstruction from Single Color Image

B. Zhang, Y. Wang, X. Deng, Y. Zhang, P. Tan, C. Ma, H. Wang

International Conference on Computer Vision (ICCV 2021)

[Paper] [Project Webpage] [Codes]

HumanGPS: Geodesic PreServing Feature for Dense Human Correspondences

F. Tan, D. Tang, M. Dou, K. Guo, R. Pandey, C. Keskin, R. Du, D. Sun, S. Bouaziz, S. Fanello, P. Tan, Y. Zhang

Computer Vision and Pattern Recognition (CVPR 2021)

[Paper] [Project Webpage] [Codes]

Holistic 3D Scene Understanding from a Single Image with Implicit Representation

C. Zhang^*, Z. Cui^*, Y. Zhang^*, B. Zeng, M. Pollefeys, S. Liu

Computer Vision and Pattern Recognition (CVPR 2021)

[Paper] [Project Webpage] [Codes]

Learning Compositional Representation for 4D Captures with Neural ODE

B. Jiang^*, Y. Zhang^*, X. Wei, X. Xue, Y. Fu.

Computer Vision and Pattern Recognition (CVPR 2021)

[Paper] [Project Webpage] [Data, Model, Code] [Video]

Spatially-Varying Outdoor Lighting Estimation from Intrinsics

Y. Zhu, Y. Zhang, S. Li, B. Shi

Computer Vision and Pattern Recognition (CVPR 2021), Oral Presentation

[Paper]

HITNet: Hierarchical Iterative Tile Refinement Network for Real-time Stereo Matching

V. Tankovich, C. Hane, Y. Zhang, A. Kowdle, S. Fanello, S. Bouaziz

Computer Vision and Pattern Recognition (CVPR 2021), Oral Presentation

[Paper] [Pretrained Model and Evaluation Code]

Du2Net: Learning Depth Estimation from Dual-Cameras and Dual-Pixels

Y. Zhang, N. Wadhwa, S. Orts-Escolano, C. haene, S. Fanello, R. Garg

European Conference on Computer Vision (ECCV 2020), Oral Presentation

[Paper] [Project Webpage]

DeepSFM: Structure From Motion Via Deep Bundle Adjustment

X. Wei^*, Y. Zhang^*, Z. Li^*, Y. Fu, X. Xue

European Conference on Computer Vision (ECCV 2020), Oral Presentation

[Paper] [Project Webpage] [Codes]

GeoLayout: Geometry Driven Room Layout Estimation Based on Depth Maps of Planes

W. Zhang, W. Zhang, Y. Zhang

European Conference on Computer Vision (ECCV 2020)

[Paper] [Project Webpage] [Matterport3D-Layout Dataset]

PBR-Net: Imitating Physically Based Rendering using Deep Neural Network

P. Dai, Z. Li, Y. Zhang, S. Liu, B. Zeng

IEEE Transactions on Image Processing, 16 Apr 2020, DOI: 10.1109/TIP.2020.2987169.

[Paper]

Neural Pose Transfer by Spatially Adaptive Instance Normalization

J. Wang, C. Wen, Y. Fu, H. Lin, T. Zou, X. Xue, Y. Zhang

Computer Vision and Pattern Recognition (CVPR 2020)

[Paper] [Project Webpage (Poster, Video)] [Code and Data]

Deep Implicit Volume Compression

D. Tang, S. Singh, P. Chou, C. Haene, M. Dou, S. Fanello, J. Taylor, P. Davidson, O. Guleryuz, Y. Zhang, S. Izadi, A. Tagliasacchi, S. Bouaziz, C. Keskin

Computer Vision and Pattern Recognition (CVPR 2020), Oral Presentation

[Paper] [Project Webpage] [Video]

Neural Point Cloud Rendering via Multi-Plane Projection

P. Dai^*, Y. Zhang^*, Z. Li^*, S. Liu, B. Zeng

Computer Vision and Pattern Recognition (CVPR 2020)

[Paper] [Project Webpage] [Code and Data] [Poster] [Video]

DIST: Rendering Deep Implicit Signed Distance Function with Differentiable Sphere Tracing

S. Liu, Y. Zhang, S. Peng, B. Shi, M. Pollefeys, Z. Cui

Computer Vision and Pattern Recognition (CVPR 2020)

[Paper] [Supplementary Material] [Code and Data] [Project Webpage] [Video] [Poster] [Slides]

Pixel2Mesh++: Multi-View 3D Mesh Generation via Deformation

C. Wen^*, Y. Zhang^*, Z. Li^*, Y. Fu

International Conference on Computer Vision (ICCV 2019)

[Paper] [Code and Data] [Project Webpage]

DeepLiDAR: Deep Surface Normal Guided Depth Prediction for Outdoor Scene from Sparse LiDAR Data and Single Color Image

J. Qiu^*, Z. Cui^*, Y. Zhang^*, X. Zhang, S. Liu, B. Zeng, M. Pollefeys

Computer Vision and Pattern Recognition (CVPR 2019)

[Paper] [Code and Data]

ActiveStereoNet: End-to-End Self-Supervised Learning for Active Stereo Systems

Y. Zhang, S. Khamis, C. Rhemann, J. Valentin, A. Kowdle, V. Tankovich, M. Schoenberg, S. Izadi, T. Funkhouser, S. Fanello

European Conference on Computer Vision (ECCV 2018), Oral Presentation

[Paper] [Supplimentary] [Arxiv] [Slides] [Oral Presentation] [Project Webpage]

Pixel2Mesh: Generating 3D Mesh Models from Single RGB Images

N. Wang^*, Y. Zhang^*, Z. Li^*, Y. Fu, W. Liu, Y. Jiang

European Conference on Computer Vision (ECCV 2018)

IEEE Transactions on Pattern Analysis and Machine Intelligence, 02 Apr 2020, DOI: 10.1109/TPAMI.2020.2984232.

[Paper] [Arxiv] [Code] [Project Webpage]

Deep Depth Completion of a Single RGB-D Image

Y. Zhang, T. Funkhouser

Computer Vision and Pattern Recognition (CVPR 2018)

[Paper] [Supplimentary] [Arxiv] [Spotlight Presentation] [Project Webpage] [Code]

Matterport3D: Learning from RGB-D Data in Indoor Environments

A. Chang, A. Dai, T. Funkhouser, M. Halber, M. Niessner, M. Savva, S. Song, A. Zeng, Y. Zhang

International Conference on 3D Vision (3DV 2017)

[Paper] [Arxiv] [Project Webpage]

Physically-Based Rendering for Indoor Scene Understanding Using Convolutional Neural Networks

Y. Zhang, S. Song, E. Yumer, M. Savva, J. Lee, H. Jin, T. Funkhouser

Computer Vision and Pattern Recognition (CVPR 2017)

[Paper] [Supplimentary] [Arxiv] [Project Webpage] [Code]

DeepContext: Context-Encoding Neural Pathways for 3D Holistic Scene Understanding

Y. Zhang, M. Bai, P. Kohli, S. Izadi, J. Xiao

International Conference on Computer Vision (ICCV 2017)

[Paper] [Supplimentary] [Arxiv] [Project Webpage] [Video Youtube] [Video Download]

Hand3D: Hand Pose Estimation using 3D Neural Network

X. Deng^*, S. Yang^*, Y. Zhang^*, P. Tan, L. Chang, H. Wang

arXiv:1704.02224 [cs.CV] (7 Apr 2017)

[Paper] [Project Webpage]

Joint Hand Detection and Rotation Estimation Using CNN

X. Deng, Y. Zhang, S. Yang, P. Tan, L. Chang, Y. Yuan, H. Wang

IEEE Transactions on Image Processing, 04 Dec 2017, DOI: 10.1109/TIP.2017.2779600.

[Paper] [Project Webpage]

LSUN: Construction of a Large-scale Image Dataset using Deep Learning with Humans in the Loop

F. Yu, A. Seff, Y. Zhang, S. Song, T. Funkhouser, J. Xiao

arXiv:1506.03365 [cs.CV] 10 Jun 2015

[Paper] [Project Webpage]

TurkerGaze: Crowdsourcing Saliency with Webcam based Eye Tracking

P. Xu, K. A. Ehinger, Y. Zhang, A. Finkelstein, S. R. Kulkarni, J. Xiao

arXiv:1504.06755 [cs.CV] 25 Apr 2015

[Paper] [Supplimentary] [Video Youtube] [Video Download] [Project Webpage]

PanoContext: A Whole-room 3D Context Model for Panoramic Scene Understanding

Y. Zhang, S. Song, P. Tan, and J. Xiao

European Conference on Computer Vision (ECCV 2014), Oral Presentation

[Paper] [Supplimentary] [Oral Presentation] [Conference Talk] [Detailed Video Youtube] [Detailed Video Download (8min)] [Short Video Download (1min)] [Project Webpage]

FrameBreak: Dramatic Image Extrapolation by Guided Shift-Maps

Y. Zhang, J. Xiao, J. Hays, P. Tan

Computer Vision and Pattern Recognition (CVPR 2013)

[Paper] [Supplimentary] [Project Webpage]

Google, Mountain View

Research Scientist
12/2018--Present

Princeton University, Vision and Robotics Group

Ph.D. in Department of Computer Science
09/2014--11/2018

Google (through AutoRoboto Inc.), Mountain View

Research Intern
09/2017--10/2018

Matterport Inc., Sunnyvale

Research Intern
06/2017--08/2017

Adobe Research, San Jose

Research Intern
06/2016--08/2016

Microsoft Research, Redmond

Research Intern
07/2015--08/2015

National University of Singapore, Singapore

M.Eng. in Department of Electrical and Computer Engineering
01/2010--01/2013

Microsoft Research Asia, Beijing, Vision Computing Group

Research Intern
05/2010--08/2011

Tsinghua University, Beijing

B.Eng. in Department of Automation
08/2005--08/2009

Media Post:

• AndroidXR, Android XR: The Gemini era comes to headsets and glasses , 2024.12
• CNET, Samsung, Google and Qualcomm Team Up to Build a New Mixed-Reality Platform , 2023.2
• Forbes, Google Begins Field-Testing AR Glasses Prototype , 2022.7
• Bloomberg, Google Shows Early Preview of Augmented Reality Glasses , 2022.5
• Google TF blogpost, Portrait Depth API: Turning a Single Image Into a 3D Photo With TensorFlow.js , 2022.5
• Google, Google I/O 2022: Advancing Knowledge and Computing , 2022.5
• Google AI blogpost, uDepth: Real-time 3D Depth Sensing on the Pixel 4, 2020.4
• Sohu, 谷歌Pixel 4手机前置摄像头，现已支持实时3D捕捉, 2020.4
• Engadget, Google explains the science behind the Pixel 4's Portrait Mode, 2019.12
• Google AI blogpost, Improvements to Portrait Mode on the Google Pixel 4 and Pixel 4 XL, 2019.12
• InfoQ, Google Announces TensorFlow Graphics Library for Unsupervised Deep Learning of Computer Vision Model , 2019.5
• Businesswire, Siebel Scholars Foundation Announces Class of 2019, 2018.9

Invited Talk:

• Physics Based Vision meets Deep Learning (ICCV 2021)
• Disentangled 3D Representations for Relightable Performance Capture of Humans (CVPR 2020)
• Virtual Content Generation via Deep Learning — 3D Shape Generation and Neural Rendering (GAMES 2020)]
• Towards Relightable Volumetric Performance Capture of Humans (CVPR 2019)
• GAMES: Graphics And Mixed Environment Seminar (2019.1). [Presentation (Chinese)]
• UltraFast 3D Sensing, Reconstruction and Understanding of People, Objects and Environments (ECCV 2018)
• UltraFast 3D Sensing, Reconstruction and Understanding of People, Objects and Environments (CVPR 2018)

Organizer of Workshops & Tutorial:

• Large-scale Scene Understanding Challenge Workshop (CVPR 2015, 2016, 2017)
• Tutorial on 3D Deep Learning with Marvin (CVPR 2016)
• Program Committee of Scene Understanding Workshop (SUNw CVPR 2014, 2015)

Reviewer of Conferences:

CVPR, ECCV, ICCV, SIGGRAPH, NIPS, AAAI, BMVC, 3DV, ACCV, ICPR, ICRA

Reviewer of Journals:

PAMI, IJCV, TOG, MVAP, TIP, NEUCOM

Awards:

• Siebel Scholars, Class of 2019
• Outstanding Reviewer in CVPR2018
• Silver Medal for National Olympic Competition of Physics, China, 2004

Teaching:

• Preceptor and Teaching Assistant: Princeton COS435 Information Retrival, 2016 Spring
• Preceptor and Teaching Assistant: Princeton COS429 Computer Vision, 2015 Fall

Previously Monitored Students:

• Ziqian Bai, Google.
• Feitong Tan, Google.
• Bangbang Yang, Zhejiang University.
• Cheng Zhang, UESTC.
• Boyan Jiang, Fudan University.
• Jian Cheng, University of Chinese Academy of Sciences.
• Xingkui Wei, Fudan University.
• Shaohui Liu, University of Washington/Tsinghua University.
• Jiashun Wang, University of California San Diego/Fudan University.
• Chao Wen, Fudan University.
• Nanyang Wang, Tencent.
• Peng Dai, University of Hong Kong.
• Jiaxiong Qiu, University of Electronic Science and Technology of China.
• Ye Yuan, Face++.