I am currently a principal research manager at Microsoft GenAI and leading the large-scale multi-modality foundation model development. Before that, I obtained my PhD degree in University of Science and Technology of China (USTC) under the joint PhD program between MSRA and USTC in 2019. I was luckily advised by Gang Hua, Lu Yuan, Jing Liao and Prof. Nenghai Yu. My research interests are in computer vision and deep learning. I'm particularly interested in the areas of image generation, style transfer, object detection and AI security. You can find my cv here.

Publications

Uni-ControlNet: All-in-One Control to Text-to-Image Diffusion Models

Shihao Zhao, Dongdong Chen, Yen-Chun Chen, Jianmin Bao, Shaozhe Hao, Lu Yuan, Kwan-Yee K. Wong

Thirty-Seventh Conference on Neural Information Processing Systems (NeurIPs 2023)

[pdf] [code]

Learning from Rich Semantics and Coarse Locations for Long-tailed Object Detection

Lingchen Meng, Xiyang Dai, Jianwei Yang, Dongdong Chen, Yinpeng Chen, Mengchen Liu, Yi-Ling Chen, Zuxuan Wu, Lu Yuan, Yu-Gang Jiang

Thirty-Seventh Conference on Neural Information Processing Systems (NeurIPs 2023)

[pdf] [code]

HairCLIPv2: Unifying Hair Editing via Proxy Feature Blending

Tianyi Wei, Dongdong Chen, Wenbo Zhou, Jing Liao, Weiming Zhang, Gang Hua,Nenghai Yu

International Conference on Computer Vision (ICCV 2023)

[pdf(coming soon)] [code]

Improving Adversarial Robustness of Masked Autoencoders via Test-time Frequency-domain Prompting

Qidong Huang, Xiaoyi Dong, Dongdong Chen, Yinpeng Chen, Lu Yuan, Gang Hua, Weiming Zhang, Nenghai Yu

International Conference on Computer Vision (ICCV 2023)

[pdf] [code]

AvatarCraft: Transforming Text into Neural Human Avatars with Parameterized Shape and Pose Control

Ruixiang Jiang, Can Wang, Jingbo Zhang, Menglei Chai, Mingming He, Dongdong Chen, Jing Liao

International Conference on Computer Vision (ICCV 2023)

[pdf] [code]

X-Paste: Revisiting Scalable Copy-Paste for Instance Segmentation using CLIP and StableDiffusion

Hanqing Zhao, Dianmo Sheng, Jianmin Bao, Dongdong Chen, et al., Nenghai Yu

International Conference on Machine Learning (ICML 2023)

[pdf] [code]

Masked Video Distillation: Rethinking Masked Feature Modeling for Self-supervised Video Representation Learning

Rui Wang, Dongdong Chen, Zuxuan Wu, Yinpeng Chen, Xiyang Dai, Mengchen Liu, Lu Yuan, Yu-Gang Jiang

IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2023)

[pdf] [code]

Look Before You Match: Instance Understanding Matters in Video Object Segmentation

Junke Wang, Dongdong Chen, Zuxuan Wu, Chong Luo, Chuanxin Tang, Xiyang Dai, Yucheng Zhao, Yujia Xie, Lu Yuan, Yu-Gang Jiang

IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2023)

[pdf] [code]

Streaming Video Model

Yucheng Zhao, Chong Luo, Chuanxin Tang, Dongdong Chen, Noel C Codella, Zheng-Jun Zha

IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2023)

[pdf] [code]

Improving Commonsense in Vision-Language Models via Knowledge Graph Riddles

Shuquan Ye, Yujia Xie, Dongdong Chen, Yichong Xu, Lu Yuan, Chenguang Zhu, Jing Liao

IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2023)

[pdf] [code]

Detection Hub: Unifying Object Detection Datasets via Query Adaptation on Language Embedding

Lingchen Meng, Xiyang Dai, Yinpeng Chen, Pengchuan Zhang, Dongdong Chen, Mengchen Liu, Jianfeng Wang, Zuxuan Wu, Lu Yuan, Yu-Gang Jiang

IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2023)

[pdf] [code]

Diversity-Aware Meta Visual Prompting

Qidong Huang, Xiaoyi Dong, Dongdong Chen, Weiming Zhang, Feifei Wang, Gang Hua, Nenghai Yu

IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2023)

[pdf] [code]

MaskCLIP: Masked Self-Distillation Advances Contrastive Language-Image Pretraining

Xiaoyi Dong, Jianmin Bao, Yinglin Zheng, Ting Zhang, Dongdong Chen, Hao Yang, Ming Zeng, Weiming Zhang, Lu Yuan, Dong Chen, Fang Wen, Nenghai Yu

IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2023)

[pdf] [code]

Peco: Perceptual codebook for bert pre-training of vision transformers

Xiaoyi Dong, Jianmin Bao, Ting Zhang, Dongdong Chen, Weiming Zhang, Lu Yuan, Dong Chen, Fang Wen, Nenghai Yu

Thirty-Seventh AAAI Conference on Artificial Intelligence (AAAI 2023)

[pdf] [code]

Frido: Feature Pyramid Diffusion for Complex Scene Image Synthesis

Wan-Cyuan Fan, Yen-Chun Chen, Dongdong Chen, Yu Cheng, Lu Yuan, Yu-Chiang Frank Wang

Thirty-Seventh AAAI Conference on Artificial Intelligence (AAAI 2023)

[pdf] [code]

i-Code: An Integrative and Composable Multimodal Learning Framework

Ziyi Yang, Yuwei Fang, Chenguang Zhu, Reid Pryzant, Dongdong Chen, et.al, Xuedong Huang

Thirty-Seventh AAAI Conference on Artificial Intelligence (AAAI 2023)

[pdf] [code]

OmniVL:One Foundation Model for Image-Language and Video-Language Tasks

Junke Wang, Dongdong Chen, Zuxuan Wu, Chong Luo, Luowei Zhou, Yucheng Zhao, Yujia Xie, Ce Liu, Yu-Gang Jiang, Lu Yuan

Thirty-sixth Conference on Neural Information Processing Systems (NeurIPs 2022)

[pdf] [code]

REVIVE: Regional Visual Representation Matters in Knowledge-Based Visual Question Answering

Yuanze Lin, Yujia Xie, Dongdong Chen, Yichong Xu, Chenguang Zhu, Lu Yuan

Thirty-sixth Conference on Neural Information Processing Systems (NeurIPs 2022)

[pdf] [code]

Bootstrapped Masked Autoencoders for Vision BERT Pretraining

Xiaoyi Dong, Jianmin Bao, Ting Zhang, Dongdong Chen, Weiming Zhang, Lu Yuan, Dong Chen, Fang Wen, Nenghai Yu

European Conference on Computer Vision (ECCV 2022)

[pdf] [code]

Should All Proposals be Treated Equally in Object Detection?

Yunsheng Li, Yinpeng Chen, Xiyang Dai, Dongdong Chen, Mengchen Liu, Pei Yu, Jing Yin, Lu Yuan, Zicheng Liu, Nuno Vasconcelos

European Conference on Computer Vision (ECCV 2022)

[pdf] [code]

BEVT: BERT Pretraining of Video Transformers

Rui Wang, Dongdong Chen, Zuxuan Wu, Yinpeng Chen, Xiyang Dai, Mengchen Liu, Yugang Jiang, Luowei Zhou, Lu Yuan

IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2022)

[pdf] [code]

Large Scale Pre-training for Person Re-identification with Noisy Labels

Dengpan Fu, Dongdong Chen, Hao Yang, Jianmin Bao, Lu Yuan, Lei Zhang, Houqiang Li, Dong Chen, Fang Wen

IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2022)

[pdf] [code]

HairCLIP: Design Your Hair by Text and Reference Image

Tianyi Wei, Dongdong Chen, Wenbo Zhou, Jing Liao, Zhentao Tan, Lu Yuan, Weiming Zhang, Nenghai Yu

IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2022)

[pdf] [code]

CLIP-NeRF: Text-and-Image Driven Manipulation of Neural Radiance Fields

Can Wang, Menglei Chai, Mingming He, Dongdong Chen, Jing Liao

IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2022)

[pdf] [code]

General Facial Representation Learning in a Visual-Linguistic Manner

Yinglin Zheng, Hao Yang, Ting Zhang, Jianmin Bao, Dongdong Chen, Yangyu Huang, Lu Yuan, Dong Chen, Ming Zeng, Fang Wen

IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2022 Oral)

[pdf] [code]

Vector Quantized Diffusion Model for Text-to-Image Synthesis

Shuyang Gu, Dong Chen, Jianmin Bao, Fang Wen, Bo Zhang, Dongdong Chen, Lu Yuan, Baining Guo

IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2022 Oral)

[pdf] [code]

Mobile-Former: Bridging MobileNet and Transformer

Yinpeng Chen, Xiyang Dai, Dongdong Chen, Mengchen Liu, Xiaoyi Dong, Lu Yuan, Zicheng Liu

IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2022 Oral)

[pdf] [code]

CSWin Transformer: A General Vision Transformer Backbone with Cross-Shaped Windows

Xiaoyi Dong, Jianmin Bao, Dongdong Chen, Weiming Zhang, Nenghai Yu, Lu Yuan, Dong Chen, Baining Guo

IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2022)

[pdf] [code]

Reduce Information Loss in Transformers for Pluralistic Image Inpainting

Qiankun Liu, Zhentao Tan, Dongdong Chen, Qi Chu, Xiyang Dai, Yinpeng Chen, Mengchen Liu, Lu Yuan, Nenghai Yu

IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2022)

[pdf] [code]

Bringing Old Films Back to Life

Ziyu Wan, Bo Zhang, Dongdong Chen, Jing Liao

IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2022)

[pdf] [code]

Protecting Celebrities from DeepFake with Identity Consistency Transformer

Xiaoyi Dong, Jianmin Bao, Dongdong Chen, Ting Zhang, Weiming Zhang, Nenghai Yu, Dong Chen, Fang Wen, Baining Guo

IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2022)

[pdf] [code]

Shape-invariant 3D Adversarial Point Clouds

Qidong Huang, Xiaoyi Dong, Dongdong Chen, Hang Zhou, Weiming Zhang, Nenghai Yu

IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2022)

[pdf] [code]

Stronger NAS with Weaker Predictors

Junru Wu, Xiyang Dai, Dongdong Chen, Yinpeng Chen, Mengchen Liu, Ye Yu, Zhangyang Wang, Zicheng Liu, Mei Chen, Lu Yuan

Advances in Neural Information Processing Systems (NeurIPs 2021)

[pdf] [bibtex] [code]

High-Fidelity Pluralistic Image Completion with Transformers

Ziyu Wan, Jingbo Zhang, Dongdong Chen, Jing Liao

International Conference on Computer Vision (ICCV 2021)

[pdf] [bibtex] [code] [Project Page]

Learning with Noisy Labels for Robust Point Cloud Segmentation

Shuquan Ye, Dongdong Chen, Songfang Han, Jing Liao

International Conference on Computer Vision (ICCV 2021 Oral)

[pdf] [bibtex] [code] [Project Page]

Improving Image Recognition with Extremely Low FLOPs

Yunsheng Li, Yinpeng Chen, Xiyang Dai, Dongdong Chen, Mengchen Liu, Lu Yuan, Zicheng Liu, Lei Zhang, Nuno Vasconcelos

International Conference on Computer Vision (ICCV 2021)

[pdf] [bibtex]

Improve Unsupervised Pretraining for Few-label Transfer

Suichan Li, Dongdong Chen, Yinpeng Chen, Lu Yuan, Lei Zhang, Qi Chu, Bin Liu, Nenghai Yu

International Conference on Computer Vision (ICCV 2021)

[pdf] [bibtex]

Unsupervised Pre-training for Person Re-identification

Dengpan Fu, Dongdong Chen, Jianmin Bao, Hao Yang, Lu Yuan, Lei Zhang, Houqiang Li, Dong Chen

IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2021)

[pdf] [bibtex] [code]

Dynamic Convolution via Matrix Decomposition

Yunsheng Li, Yinpeng Chen, Xiyang Dai, Mengchen Liu, Dongdong Chen, Ye Yu, Lu Yuan, Zicheng Liu, Mei Chen, Nuno Vasconcelos

ICLR 2021

[pdf] [code]

Improved Image Matting via Real-time User Clicks and Uncertainty Estimation

Tianyi Wei, Dongdong Chen, Wenbo Zhou, Jing Liao, Hanqing Zhao, Weiming Zhang, Nenghai Yu

IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2021)

[pdf] [bibtex]

Dynamic Head: Unifying Object Detection Heads with Attentions

Xiyang Dai, Yinpeng Chen, Bin Xiao, Dongdong Chen, Mengchen Liu, Lu Yuan, Lei Zhang

IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2021)

[pdf] [bibtex] [code]

Multi-attentional Deepfake Detection

Hanqing Zhao, Wenbo Zhou, Dongdong Chen, Tianyi Wei, Weiming Zhang, Nenghai Yu

IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2021)

[pdf] [bibtex] [code]

Diverse Semantic Image Synthesis via Probability Distribution Modeling

Zhentao Tan, Menglei Chai, Dongdong Chen, Jing Liao, Qi Chu, Bin Liu, Gang Hua, Nenghai Yu

IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2021)

[pdf] [bibtex] [code]

Efficient Semantic Image Synthesis via Class-Adaptive Normalization

Zhentao Tan, Dongdong Chen, Qi Chu, Menglei Chai, Jing Liao, Mingming He, Lu Yuan, Gang Hua Nenghai Yu

IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI 2021)

[pdf] [bibtex] [code]

Improving Person Re-identification with Iterative Impression Aggregation

Dengpan Fu, Bo Xin, Jingdong Wang, Dongdong Chen, Jianmin Bao, Gang Hua, Houqiang Li

TIP 2020

[pdf] [code]

GreedyFool: Distortion-Aware Sparse Adversarial Attack

Xiaoyi Dong, Dongdong Chen, Jianmin Bao, Chuan Qin, Lu Yuan, Weiming Zhang, Nenghai Yu, Dong Chen

Advances in Neural Information Processing Systems (NeurIPs 2020)

[pdf] [bibtex] [code]

Passport-aware Normalization for Deep Model Protection

Jie Zhang, Dongdong Chen, Jing Liao, Weiming Zhang, Gang Hua, Nenghai Yu

Advances in Neural Information Processing Systems (NeurIPs 2020)

[pdf] [bibtex] [code]

Dynamic ReLU

Yinpeng Chen, Xiyang Dai, Mengchen Liu, Dongdong Chen, Lu Yuan, Zicheng Liu

European Conference on Computer Vision (ECCV 2020)

[pdf] [bibtex]

DA-NAS: Data Adapted Pruning for Efficient Neural Architecture Search

Xiyang Dai, Dongdong Chen, Mengchen Liu, Yinpeng Chen, Lu Yuan

European Conference on Computer Vision (ECCV 2020)

[pdf] [bibtex]

MichiGAN: Multi-Input-Conditioned Hair Image Generation for Portrait Editing

Zhentao Tan, Menglei Chai, Dongdong Chen, Jing Liao, Qi Chu, Lu Yuan, Sergey Tulyakov, Nenghai Yu

ACM Transactions on Graphics (SIGGRAPH) 2020

[pdf] [code] [bibtex]

Dynamic Convolution: Attention over Convolution Kernels

Yinpeng Chen, Xiyang Dai, Mengchen Liu, Dongdong Chen, Lu Yuan, Zicheng Liu

IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2020)

[pdf] [bibtex]

Bringing Old Photos Back to Life

Ziyu Wan, Bo Zhang, Dongdong Chen, Pan Zhang, Dong Chen, Jing Liao, Fan Wen

IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2020 Oral)

[pdf] [code] [bibtex] [PAMI extension]

Density-Aware Graph for Deep Semi-Supervised Visual Recognition

Suichan Li, Bin Liu, Dongdong Chen, Qi Chu, Lu Yuan, Nenghai Yu

IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2020)

[pdf] [bibtex]

Robust Superpixel-Guided Attentional Adversarial Attack

Xiaoyi Dong, Jiangfan Han, Dongdong Chen, et al., Nenghai Yu

IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2020)

[pdf] [bibtex]

Self-Robust 3D Point Recognition via Gather-vector Guidance

Xiaoyi Dong, Dongdong Chen, et al., Nenghai Yu

IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2020)

[pdf] [bibtex]

LG-GAN: Label Guided Adversarial Network for Flexible Targeted Attack of Point Cloud-based Deep Networks

Hang Zhou, Dongdong Chen, et al., Nenghai Yu

IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2020)

[pdf] [bibtex]

Model Watermarking for Image Processing Networks

Jie Zhang*, Dongdong Chen, et al., Nenghai Yu

Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI 2020)

[pdf] [bibtex] [TPAMI Version]

Transductive Zero-Shot Learning with Visual Structure Constraint

Ziyu Wan*, Dongdong Chen*, Yan Li, Xingguang Yan, Junge Zhang, Yizhou Yu, Jing Liao (*Equal Contribution)

Thirty-third Conference on Neural Information Processing Systems (NeurIPS 2019)

[pdf] [bibtex] [IJCV Extension]

Once a MAN: Towards Multi-Target Attack via Learning Multi-Target Adversarial Network Once

Jiangfan Han, Xiaoyi Dong, Ruimao Zhang, Dongdong Chen, Weiming Zhang, Nenghai Yu, Ping Luo, Xiaogang Wang

Proceedings of the IEEE International Conference on Computer Vision (ICCV 2019)

[pdf] [bibtex]

A General Decoupled Learning Framework for Parameterized Image Operators

Qingnan Fan*, Dongdong Chen*, Lu Yuan, Gang Hua, Nenghai Yu, Baoquan Chen (*Equal Contribution)

IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI 2019)

[pdf] [bibtex]

Progressive Color Transfer with Dense Semantic Correspondences

Mingming He, Jing Liao, Dongdong Chen*, Lu Yuan, Pedro V Sander

ACM TOG 2018

[pdf] [bibtex]

Mirror, Mirror, on the Wall, Who's Got the Clearest Image of Them All?-A Tailored Approach to Single Image Reflection Removal

Daniel Heydecker, Georg Maierhofer, Angelica I Aviles-Rivero, Qingnan Fan, Dongdong Chen, Carola-Bibiane Schönlieb, Sabine Süsstrunk

TIP 2019

[pdf]

Gated Context Aggregation Network for Image Dehazing and Deraining

Dongdong Chen*, Mingming He, Qingnan Fan, Jing Liao, Liheng Zhang, Dongdong Hou, Lu Yuan, Gang Hua

WACV 2019

[pdf] [code] [bibtex]

Decouple Learning for Parameterized Image Operators

Qingnan Fan*, Dongdong Chen*, Lu Yuan, Gang Hua, Nenghai Yu, Baoquan Chen (* Equal Contribution)

ECCV 2018

[pdf] [code] [bibtex]

Deep Exemplar-based Colorization

Mingming He*, Dongdong Chen*, Jing Liao, Pedro V.Sander, Lu Yuan (* Equal Contribution)

Siggraph 2018

[pdf] [code] [supplementary] [bibtex]

Stereoscopic Neural Style Transfer

Dongdong Chen, Lu Yuan, Jing Liao, Nenghai Yu, Gang Hua

CVPR 2018

[pdf] [supplementary] [video] [bibtex]

Coherent Online Video Style Transfer

Dongdong Chen, Jing Liao, Lu Yuan, Nenghai Yu, Gang Hua

ICCV 2017

[pdf] [video] [bibtex]

StyleBank: An Explicit Representation for Neural Image Style Transfer

Dongdong Chen, Lu Yuan, Jing Liao, Nenghai Yu, Gang Hua

CVPR 2017

[pdf] [supplementary] [video] [bibtex] [TPAMI Version]

Congrats! Our technique is adopted by Microsoft Pix.

Automatic Extraction of Moving Objects from Image and LIDAR Sequences

Jizhou Yan, Dongdong Chen, Heesoo Myeong, Takaaki Shiratori, Yi Ma

International Conference on 3D Vision 2014

[pdf] [bibtex]

Book Chapters

Gang Hua, Dongdong Chen, "Deep Conditional Image Generation: Towards Controllable Visual Pattern Modeling", in Advanced Methods and Deep Learning in Computer Vision, editted by E .R. Davies and Matthew Turk, Elsevier, 2021.

Dongdong Chen, Lu Yuan, Gang Hua, "Deep Style Transfer", in Computer Vision: A Reference Guide, Second Edition, edited by Katsushi Ikeuchi, Springer 2020

Dongdong Chen, Lu Yuan, Gang Hua, "Texutre Synthesis", in Computer Vision: A Reference Guide, Second Edition, edited by Katsushi Ikeuchi, Springer 2020

Experience

2010.08~2014.06: Bachelor in Electrical Engineering in University of Science and Technology of China

2013.07~2014.05: Intern in MSRA advised by Yi Ma and Jian Sun respectively

2015.07~2015.10: Intern in Alibaba Group Beijing

2015.11~2018.03: Intern in MSRA advised by Jian Sun and Gang Hua and Lu Yuan respectively.

2018.04~2018.09: Intern in Microsoft Redmond advised Gang Hua.

Professional Activities

Invited as Area Chair of NeurIPs 2024, ICPR 2024, WACV 2024

Invited as Area Chair of NeurIPs 2023

Invited as Area Chair of CVPR 2023

Invited as Area Chair of ECCV 2022

Invited as Associate Editor with Pattern Recognition from 2022

Invited as Area Chair of ICPR 2022

Invited as Senior Program Committee (SPC) of AAAI 2022 and Area Chair of CVPR 2022

Reviewer: CVPR 2021, ICCV 2021, NeurIPs 2021

Reviewer: CVPR 2020, ECCV 2020, NeurIPs 2020, AAAI 2020,

Reviewer: CVPR 2019, ICCV 2019, AAAI 2019, PRCV 2019, ICME 2019, ICIG 2019

Reviewer: CVPR2018, ECCV 2018, ACCV2018

Reviewer: IEEE Transactions on Pattern Analysis and Machine Intelligence(TPAMI)

Reviewer: International Journal of Comuter Vision(IJCV)

Reviewer: IEEE Transactions on Image Processing(TIP)

Reviewer: IEEE Transactions on MultiMedia(TMM)

Reviewer: IEEE Transactions on Circuits and Systems for Video Technology(TCSVT)

Reviewer: Machine Vision and Applications(MVAP)

Reviewer: Journal of Selected Topics in Signal Processing (JSTSP)

Reviewer: Public Library of Science (PLOS ONE)

Awards and Honors

Outstanding Reviewer Award of CVPR 2020, CVPR 2021, ICCV 2021

Chinese Academy of Sciences President Award (Special), July 2019

National Scholarship for Graduate Students, Nov 2018

(3/2950 Teams) FashionAI Global Challenge—Attributes Recognition of Apparel 2018

(7/2322 Teams) FashionAI Global Challenge—Key Points Detection of Apparel 2018

National ScholarShip, Nov 2012

National ScholarShip, Nov 2013

Grand Prize (1/1438 teams) in CCF National Youth Innovation Contest of Big Data 2015

Top 5 in Tianyi Algorithm Contest of Big Data 2016

Best Demo Prize of Di-Tech Algorithm Contest of Big Data 2016