Dongsheng Li is currently a principal research manager with Microsoft Research Asia (MSRA), Shanghai, China.
Meanwhile, he is an adjunct professor with School of Computer Science, Fudan University, Shanghai, China.
Before joining MSRA Shanghai, he worked as a research staff member (RSM) with IBM Research - China, Shanghai, China. He obtained Ph.D. from School of Computer Science, Fudan University in 2012, and B.E. from Department of Computer Science and Technology, University of Science and Technology of China (USTC) in 2007.
He is a senior member of ACM and IEEE, and has served as program committee members of several top conferences, e.g., NIPS, ICML, ICLR, etc.
His research interests include recommender systems, machine learning and AI for health. In 2018, his work on Cognitive Recommendation Engine won the IBM Corporate Award.
Hiring (MSRA) :
my team is currently hiring researchers and interns major in machine learning. Please send me an email dongsli@microsoft.com if you are interested to join MSRA Shanghai.
Book (in Chinese) :
李东胜,练建勋,张乐,任侃,卢暾,邬涛,谢幸
《推荐系统:前沿与实践》 电子工业出版社
Publication (by category)
Recommender System
Machine Learning
AI for Health
AutoSeqRec: Autoencoder for Efficient Sequential Recommendation
Sijia Liu, Jiahao Liu, Hansu Gu, Dongsheng Li, Tun Lu, Peng Zhang and Ning Gu.
The 32nd ACM International Conference on Information and Knowledge Management (CIKM) . 2023
Towards Deeper, Lighter and Interpretable Cross Network for CTR Prediction
Fangye Wang, Hansu Gu, Dongsheng Li, Tun Lu, Peng Zhang and Ning Gu.
The 32nd ACM International Conference on Information and Knowledge Management (CIKM) . 2023
Triple Structural Information Modelling for Accurate, Explainable and Interactive Recommendation
Jiahao Liu, Dongsheng Li, Hansu Gu, Tun Lu, Peng Zhang, Li Shang and Ning Gu.
The 46th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) . 2023
Personalized Graph Signal Processing for Collaborative Filtering
Jiahao Liu, Dongsheng Li, Hansu Gu, Tun Lu, Peng Zhang, Li Shang and Ning Gu.
The Web Conference (WWW) . 2023
CL4CTR: A Contrastive Learning Framework for CTR Prediction
Fangye Wang, Yingxu Wang, Dongsheng Li, Hansu Gu, Tun Lu, Peng Zhang, Ning Gu.
The 16th ACM International Conference on Web Search and Data Mining (WSDM) . 2023
Parameter-free Dynamic Graph Embedding for Link Prediction
Jiahao Liu, Dongsheng Li, Hansu Gu, Tun Lu, Peng Zhang, Ning Gu.
The Thirty-sixth Conference on Neural Information Processing Systems (NeurIPS) . 2022
Enhancing CTR Prediction with Context-Aware Feature Representation Learning
Fangye Wang, Yingxu Wang, Dongsheng Li, Hansu Gu, Tun Lu, Peng Zhang, Ning Gu.
The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) . 2022
MINDSim: User Simulator for News Recommenders
Xufang Luo, Zheng Liu, Shitao Xiao, Xing Xie and Dongsheng Li.
The Web Conference (WWW) . 2022
Accurate and Explainable Recommendation via Review Rationalization
Sicheng Pan, Dongsheng Li, Hansu Gu, Tun Lu, Xufang Luo and Ning Gu.
The Web Conference (WWW) . 2022
FIRE: Fast Incremental Recommendation with Graph Signal Processing
Jiafeng Xia, Dongsheng Li, Hansu Gu, Jiahao Liu, Tun Lu and Ning Gu.
The Web Conference (WWW) . 2022
How Powerful is Graph Convolution for Recommendation?
Yifei Shen, Yongji Wu, Yao Zhang, Caihua Shan, Jun Zhang, B. Khaled Letaief and Dongsheng Li.
The 30th ACM International Conference on Information and Knowledge Management (CIKM) . 2021
Incremental Graph Convolutional Network for Collaborative Filtering
Jiafeng Xia, Dongsheng Li, Hansu Gu, Tun Lu, Peng Zhang and Ning Gu.
The 30th ACM International Conference on Information and Knowledge Management (CIKM) . 2021
CoPE: Modeling Continuous Propagation and Evolution on Interaction Graph
Yao Zhang, Yun Xiong, Dongsheng Li, Caihua Shan, Kan Ren and Yangyong Zhu.
The 30th ACM International Conference on Information and Knowledge Management (CIKM) . 2021
Graph Collaborative Filtering based on Dual-Message Propagation Mechanism
Haodong Liu, Bo Yang, Dongsheng Li.
IEEE Transactions on Cybernetics (TCYB) . 2021
Leveraging Tripartite Interaction Information from Live Stream E-Commerce for Improving Product Recommendation
Sanshi Yu, Zhuoxuan Jiang, Dongdong Chen, Shanshan Feng, Dongsheng Li, Qi Liu, Jinfeng Yi.
ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) . 2021
SANS: Setwise Attentional Neural Similarity Method for Few-shot Recommendation
Zhenghao Zhang, Tun Lu, Dongsheng Li, Peng Zhang, Hansu Gu, Ning Gu.
The 26th International Conference on Database Systems for Advanced Applications (DASFAA) , 2021
NeuSE: A Neural Snapshot Ensemble Method for Collaborative Filtering
Dongsheng Li*, Haodong Liu*, Chao Chen, Yingying Zhao, Stephen M. Chu, Bo Yang.
ACM Transactions on Knowledge Discovery from Data (TKDD) , Volume 15Issue 6, 2021
Modeling Dynamic User Preference via Dictionary Learning for Sequential Recommendation
Chao Chen, Dongsheng Li*, Junchi Yan*, Xiaokang Yang.
IEEE Transactions on Knowledge and Data Engineering (TKDE) , 10.1109/TKDE.2021.3050407. 2021
Scalable and Explainable 1-Bit Matrix Completion via Graph Signal Learning
Chao Chen, Dongsheng Li, Junchi Yan, Hanchi Huang, Xiaokang Yang.
The Thirty-Fifth AAAI Conference on Artificial Intelligence (AAAI-21) , 2021
Mixture Matrix Approximation for Collaborative Filtering
Dongsheng Li, Chao Chen, Tun Lu, Stephen M. Chu, Ning Gu.
IEEE Transactions on Knowledge and Data Engineering (TKDE) , Volume: 33, Issue: 6, 2021.
Collaborative Filtering with Noisy Ratings
Dongsheng Li, Chao Chen, Zhilin Gong, Tun Lu, Stephen M. Chu, Ning Gu.
2019 SIAM International Conference on Data Mining (SDM) , 2019
AdaError: An Adaptive Learning Rate Method for Matrix Approximation-based Collaborative Filtering
Dongsheng Li, Chao Chen, Qin Lv, Hansu Gu, Tun Lu, Li Shang, Ning Gu, Stephen M. Chu.
The Web Conference (WWW) , 2018
Mixture-Rank Matrix Approximation for Collaborative Filtering
Dongsheng Li, Chao Chen, Wei Liu, Tun Lu, Ning Gu, Stephen M. Chu.
Advances in Neural Information Processing Systems (NIPS) , 2017
ERMMA: Expected Risk Minimization for Matrix Approximation-based Recommender Systems
Dongsheng Li, Chao Chen, Qin Lv, Li Shang, Stephen M. Chu, Hongyuan Zha.
AAAI Conference on Artificial Intelligence (AAAI) , 2017
GLOMA: Embedding Global Information in Local Matrix Approximation Models for Collaborative Filtering
Chao Chen, Dongsheng Li*, Qin Lv, Junchi Yan, Li Shang, Stephen M. Chu
AAAI Conference on Artificial Intelligence (AAAI) , 2017 (*Corresponding Author)
Efficient Privacy-preserving Content Recommendation for Online Social Communities
Dongsheng Li, Qin Lv, Li Shang, Ning Gu
Neurocomputing , 2017
Low-Rank
Matrix Approximation with Stability
Dongsheng Li, Chao Chen, Qin Lv, Junchi Yan, Stephen Chu, Li Shang
International Conference on Machine Learning (ICML) , 2016 code
MPMA:
Mixture Probabilistic Matrix Approximation for Collaborative
Filtering
Chao Chen*, Dongsheng Li*, Qin Lv, Junchi Yan, Stephen M. Chu, Li Shang
International Joint Conference on Artificial Intelligence (IJCAI) , 2016 (*Equal Contribution)
An
Algorithm for Efficient Privacy-preserving Item-based
Collaborative Filtering
Dongsheng Li, Chao Chen, Qin Lv, Li Shang, Yingying Zhao, Tun Lu, Ning Gu
Future Generation Computer Systems (FGCS) , 2016
WEMAREC:
Accurate and Scalable Recommendation through Weighted and
Ensemble Matrix Approximation
Chao Chen*, Dongsheng Li*, Yingying Zhao, Qin Lv, Li Shang
International Conference on Research and Development on Information Retrieval (SIGIR) , 2015 code
YANA: An Efficient Privacy-preserving Recommender System for Online Social Communities
Dongsheng Li, Qin Lv, Li Shang, Ning Gu
International Conference on Information and Knowledge Management (CIKM) , 2011
Pistis: A Privacy-preserving Content Recommender System for Online Social Communities
Dongsheng Li, Qin Lv, Huanhuan Xia, Li Shang, Tun Lu, Ning Gu
International Conferences on Web Intelligence and Intelligent Agent Technology (WI-IAT) , 2011
HuggingGPT: Solving AI Tasks with ChatGPT and its Friends in Hugging Face
Yongliang Shen, Kaitao Song, Xu Tan, Dongsheng Li, Weiming Lu, Yueting Zhuang.
The Thirty-seventh Conference on Neural Information Processing Systems (NeurIPS) . 2023
ContiFormer: Continuous-Time Transformer for Irregular Time Series Modeling
Yuqi Chen, Kan Ren, Yansen Wang, Yuchen Fang, Weiwei Sun, Dongsheng Li.
The Thirty-seventh Conference on Neural Information Processing Systems (NeurIPS) . 2023
Train Faster, Perform Better: Modular Adaptive Training in Over-Parameterized Models
Yubin Shi, Yixuan Chen, Mingzhi Dong, Xiaochen Yang, Dongsheng Li, Yujiang Wang, Robert P. Dick, Qin Lv, Yingying Zhao, Fan Yang, Tun Lu, Ning Gu, Li Shang.
The Thirty-seventh Conference on Neural Information Processing Systems (NeurIPS) . 2023
Learning Multi-Agent Intention-Aware Communication for Optimal Multi-Order Execution in Finance
Yuchen Fang, Zhenggang Tang, Kan Ren, Weiqing Liu, Li Zhao, Jiang Bian, Dongsheng Li, Weinan Zhang, Yong Yu, Tie-Yan Liu.
The 29th SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) . 2023
Towards Understanding Omission in Dialogue Summarization
Yicheng Zou, Kaitao Song, Xu Tan, Zhongkai Fu, Tao Gui, Qi Zhang and Dongsheng Li.
The 61st Annual Meeting of the Association for Computational Linguistics (ACL) . 2023
DiffusionNER: Boundary Diffusion for Named Entity Recognition
Yongliang Shen, Kaitao Song, Xu Tan, Dongsheng Li, Weiming Lu and Yueting Zhuang.
The 61st Annual Meeting of the Association for Computational Linguistics (ACL) . 2023
CircuitNet: A Generic Neural Network to Realize Universal Circuit Motif Modeling
Yansen Wang, Xinyang Jiang, Kan Ren, Caihua Shan, Xufang Luo, Dongqi Han, Kaitao Song, Yifei Shen, Dongsheng Li.
The Fortieth International Conference on Machine Learning (ICML) . 2023
Online Video Super-Resolution with Convolutional Kernel Bypass Grafts
Jun Xiao, Xinyang Jiang, Ningxin Zheng, Huan Yang, Yifan Yang, Yuqing Yang, Dongsheng Li, Kin-Man Lam.
IEEE Transactions on Multimedia (TMM) . 2023
Self-supervised Semi-implicit Graph Variational Auto-encoders with Masking
Xiang Li, Tiandi Ye, Caihua Shan, Dongsheng Li and Ming Gao.
The Web Conference (WWW) . 2023
SIMPLE: Specialized Model-Sample Matching for Domain Generalization
Ziyue Li, Kan Ren, XINYANG JIANG, Yifei Shen, Haipeng Zhang, Dongsheng Li.
The 11th International Conference on Learning Representations (ICLR) . 2023
EA-HAS-Bench: Energy-aware Hyperparameter and Architecture Search Benchmark
Shuguang Dou, XINYANG JIANG, Cai Rong Zhao, Dongsheng Li.
The 11th International Conference on Learning Representations (ICLR) . 2023 (Spotlight)
Over-parameterized Model Optimization with Polyak-{\L}ojasiewicz Condition
Yixuan Chen, Yubin Shi, Mingzhi Dong, Xiaochen Yang, Dongsheng Li, Yujiang Wang, Robert Dick, Qin Lv, Yingying Zhao, Fan Yang, Ning Gu, Li Shang.
The 11th International Conference on Learning Representations (ICLR) . 2023
Explaining Temporal Graph Models through an Explorer-Navigator Framework
Wenwen Xia, Mincai Lai, Caihua Shan, Yao Zhang, Xinnan Dai, Xiang Li, Dongsheng Li.
The 11th International Conference on Learning Representations (ICLR) . 2023
Data Continuity Matters: Improving Sequence Modeling with Lipschitz Regularizer
Eric Qu, Xufang Luo, Dongsheng Li.
The 11th International Conference on Learning Representations (ICLR) . 2023 (Spotlight)
Towards Inference Efficient Deep Ensemble Learning
Ziyue Li, Kan Ren, Yifan Yang, Xinyang Jiang, Yuqing Yang, Dongsheng Li.
The 37th AAAI Conference on Artificial Intelligence (AAAI) . 2023
Adaptive Policy Learning for Offline-to-Online Reinforcement Learning
Han Zheng, Xufang Luo, Pengfei Wei, Xuan Song, Dongsheng Li, Jing Jiang.
The 37th AAAI Conference on Artificial Intelligence (AAAI) . 2023
Learning Decomposed Spatial Relations for Multi-Variate Time-Series Modeling
Yuchen Fang, Kan Ren, Caihua Shan, Yifei Shen, You Li, Weinan Zhang, Yong Yu, Dongsheng Li.
The 37th AAAI Conference on Artificial Intelligence (AAAI) . 2023
Similarity Distribution based Membership Inference Attack on Person Re-identification
Junyao Gao, Xinyang Jiang, Huishuai Zhang, Yifan Yang, Shuguang Dou, Dongsheng Li, Duoqian Miao, Cheng Deng, Cairong Zhao.
The 37th AAAI Conference on Artificial Intelligence (AAAI) . 2023
Unveiling Causal Attention in Dogs' Eyes with Smart Eyewear
Yingying Zhao, Ning Li, Wentao Pan, Yujiang Wang, Mingzhi Dong, Xianghua Ding, Qin Lv, Robert P. Dick, Dongsheng Li, Fan Yang, Tun Lu, Ning Gu, Li Shang.
ACM Interactive Mobile Wearable & Ubiquitous Technologies (IMWUT) , Vol. 6, No. 4, 2022.
Transcormer: Transformer for Sentence Scoring with Sliding Language Modeling
Kaitao Song, Yichong Leng, Xu Tan, Yicheng Zou, Tao Qin, Dongsheng Li.
The Thirty-sixth Conference on Neural Information Processing Systems (NeurIPS) . 2022
VRL3: A Data-Driven Framework for Visual Deep Reinforcement Learning
Che Wang, Xufang Luo, Keith W. Ross, Dongsheng Li.
The Thirty-sixth Conference on Neural Information Processing Systems (NeurIPS) . 2022
Bootstrapped Transformer for Offline Reinforcement Learning
Kerong Wang, Hanye Zhao, Xufang Luo, Kan Ren, Weinan Zhang, Dongsheng Li.
The Thirty-sixth Conference on Neural Information Processing Systems (NeurIPS) . 2022
Reinforcement Learning with Automated Auxiliary Loss Search
Tairan He, Yuge Zhang, Kan Ren, Che Wang, Minghuan Liu, Weinan Zhang, Dongsheng Li, Yuqing Yang.
The Thirty-sixth Conference on Neural Information Processing Systems (NeurIPS) . 2022
CMMD: Cross-Metric Multi-Dimensional Root Cause Analysis
Shifu Yan, Caihua Shan, Wenyi Yang, Bixiong Xu, Dongsheng Li, Lili Qiu, Jie Tong, Qi Zhang.
The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) . 2022
Finding Global Homophily in Graph Neural Networks When Meeting Heterophily
Xiang Li, Renyu Zhu, Yao Cheng, Caihua Shan, Siqiang Luo, Dongsheng Li, Weining Qian.
The 39th International Conference on Machine Learning (ICML) . 2022
Towards Applicable Reinforcement Learning: Improving the Generalization and Sample Efficiency with Policy Ensemble
Zhengyu Yang, Kan Ren, Xufang Luo, Minghuan Liu, Weiqing Liu, Jiang Bian, Weinan Zhang, Dongsheng Li.
The 31st International Joint Conference on Artificial Intelligence (IJCAI) . 2022
RenderNet: Unified 2D/3D Recognizer with Latent Space Rendering
Ruoxi Shi, Xinyang Jiang, Caihua Shan, Yansen Wang, Dongsheng Li.
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) . 2022 (Oral)
Variational oracle guiding for reinforcement learning
Dongqi Han, Tadashi Kozuno, Xufang Luo, Zhao-Yun Chen, Kenji Doya, Yuqing Yang, Dongsheng Li.
The Tenth International Conference on Learning Representations (ICLR) . 2022
Recursive Disentanglement Network
Yixuan Chen, Yubin Shi, Dongsheng Li, Yujiang Wang, Mingzhi Dong, Yingying Zhao, Robert Dick, Qin Lv, Fan Yang, Li Shang.
The Tenth International Conference on Learning Representations (ICLR) . 2022
Cross-Modal Ambiguity Learning for Multimodal Fake News Detection
Yixuan Chen, Dongsheng Li, Peng Zhang, Jie Sui, Qin Lv, Lu Tun and Li Shang.
The Web Conference (WWW) . 2022
Neural Piecewise-Constant Delay Differential Equations
Qunxi Zhu, Yifei Shen, Dongsheng Li, Wei Lin.
Thirty-Sixth AAAI Conference on Artificial Intelligence (AAAI) . 2022
Invariant Information Bottleneck for Domain Generalization
Bo Li, Yifei Shen, Yezhen Wang, Wenzhen Zhu, Colorado J. Reed, Jun Zhang, Dongsheng Li, Kurt Keutzer, Han Zhao.
Thirty-Sixth AAAI Conference on Artificial Intelligence (AAAI) . 2022
Recognizing Vector Graphics without Rasterization
Xinyang Jiang, Lu Liu, Caihua Shan, Yifei Shen, Xuanyi Dong, Dongsheng Li.
The 2021 Conference on Neural Information Processing Systems (NeurIPS) . 2021
Reinforcement Learning Enhanced Explainer for Graph Neural Networks
Caihua Shan, Yifei Shen, Yao Zhang, Xiang Li, Dongsheng Li.
The 2021 Conference on Neural Information Processing Systems (NeurIPS) . 2021
Towards Generating Real-World Time Series Data
Hengzhi Pei, Kan Ren, Yuqing Yang, Chang Liu, Tao Qin, and Dongsheng Li.
The 21st IEEE International Conference on Data Mining (ICDM) . 2021
Energy-Based Open-World Uncertainty Modeling for Confidence Calibration
Yezhen Wang, Bo Li, Tong Che, Kaiyang Zhou, Ziwei Liu, Dongsheng Li.
International Conference on Computer Vision (ICCV) . 2021
A Reinforcement-Learning-Based Energy-Efficient Framework for Multi-Task Video Analytics Pipeline
Yingying Zhao, Mingzhi Dong, Yujiang Wang, Da Feng, Qin Lv, Robert Dick, Dongsheng Li, Tun Lu, Ning Gu, Li Shang.
IEEE Transactions on Multimedia (TMM) , 2021
Learning Invariant Representations and Risks
for Semi-supervised Domain Adaptation
Bo Li, Yezhen Wang, Shanghang Zhang, Dongsheng Li, Trevor Darrell, Kurt Keutzer, Han Zhao.
The Conference on Computer Vision and Pattern Recognition (CVPR) , 2021
Collaborative Fault Detection for Large-scale Photovoltaic Systems
Yingying Zhao, Dongsheng Li, Tun Lu, Qin Lv, Li Shang, Ning Gu.
IEEE Transactions on Sustainable Energy (TSTE) , Volume: 11, Issue: 4, 2020
Hierarchical Anomaly Detection and Multimodal Classification in Large-Scale Photovoltaic Systems
Yingying Zhao, Qi Liu, Dongsheng Li, Dahai Kang, Qin Lv, Li Shang.
IEEE Transactions on Sustainable Energy (TSTE) , Volume: 10, Issue: 3, 2019
Learning Topology-Agnostic EEG Representations with Geometry-Aware Modeling
Ke Yi, Yansen Wang, Kan Ren, Dongsheng Li.
The Thirty-seventh Conference on Neural Information Processing Systems (NeurIPS) . 2023
End-to-End Word-Level Pronunciation Assessment with MASK Pre-training
Yukang Liang, Kaitao Song, Shaoguang Mao, Huiqiang Jiang, Luna Qiu, Yuqing Yang, Dongsheng Li, Linli Xu, Lili Qiu.
The 24th INTERSPEECH Conference (INTERSPEECH) . 2023
Protecting the Future: Neonatal Seizure Detection with Spatial-Temporal Modeling
Ziyue Li, Yuchen Fang, You Li, Kan Ren, Yansen Wang, Xufang Luo, Juanyong Duan, Congrui Huang, Dongsheng Li, Lili Qiu.
IEEE International Conference on Systems, Man, and Cybernetics (SMC) . 2023
Unsupervised Video Anomaly Detection for Stereotypical Behaviours in Autism
Jiaqi Gao, Xinyang Jiang, Yuqing Yang, Dongsheng Li, Lili Qiu.
IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) . 2023
Leveraging Pretrained Representations with Task-related Keywords for Alzheimer's Disease Detection
Jinchao Li, Kaitao Song, Junan Li, Bo Zheng, Dongsheng Li, Xixin Wu, Xunying Liu, Helen Meng.
IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) . 2023
A Hierarchical Regression Chain Framework for Affective Vocal Burst Recognition
Jinchao Li, Xixin Wu, Kaitao Song, Dongsheng Li, Xunying Liu, Helen Meng.
IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) . 2023
Improving Hypernasality Estimation with Automatic Speech Recognition in Cleft Palate Speech
Kaitao Song, Teng Wan, Bixia Wang, Huiqiang Jiang, Luna Qiu, Jiahang Xu, Liping Jiang, Qun Lou, Yuqing Yang, Dongsheng Li, Xudong Wang, Lili Qiu.
The 23rd Interspeech Conference (INTERSPEECH) . 2022
Metabolic characterization of hypertrophic cardiomyopathy in human heart
Wenmin Wang, Jizheng Wang, Ke Yao, Shuiyun Wang, Meng Nie, Yizi Zhao, Bohong Wang, Huanhuan Pang, Jingjing Xu, Guixin Wu, Minjie Lu, Nan Tang, Chunmei Qi, Hengzhi Pei, Xufang Luo, Dongsheng Li, Tianshu Yang, Qing Sun, Xiang Wei, Yan Li, Dingsheng Jiang, Peng Li, Lei Song, Zeping Hu.
Nature Cardiovascular Research. 2022
Predicting the effect of confinement on the COVID-19 spread using machine learning enriched with satellite air pollution observations.
Xing, X., Xiong, Y., Yang, R., Wang, R., Wang, W., Kan, H., Lu, T., Li, D., Cao, J., Peñuelas, J., Ciais, P., Bauer, N., Boucher, O., Balkanski, Y., Hauglustaine, D., Brasseur, G., Morawska, L., Janssens. I.A., Wang, X., Sardans, J., Wang, Y., Deng, Y., Wang, L., Chen, J., Tang, X., Zhang, R.
Proceedings of the National Academy of Sciences (PNAS) . 2021
Patents
Wind power predictability enhancement using hybrid energy storage system. Application no.: 201310501062.6. (in Chinese)
Wind power predictability enhancement by combining pitch control and ultracapacitor. Application no.: 201310500736.0. (in Chinese)
Work-piece defect inspection via optical images and ct images. US20170161884A1.
Job role identification. US20190279232A1.
Training a machine learning model in a distributed privacy-preserving environment. US20180336486A1.
Neural Network Training. US20180129917A1.
Privacy-Preserving Smart Metering. US20180060976A1.
Image orientation detection. US10121250B2.
Expense compliance checking based on trajectory detection. US20180137576A1.
Model based data processing. US20180068224A1.
Providing Computation Services with Privacy. US10333715B2.
Working Experience
Principal Research Manager, Microsoft Research Asia (Shanghai), 2021.9 - now
Senior Research Manager, Microsoft Research Asia (Shanghai), 2020.2 - 2021.8
Research Staff Member, IBM Research - China, 2015.4 - 2020.2
Postdoc Researcher, Tongji University, 2012.9 - 2015.3
Honour and Awards
Intel Fellowship, Intel, 2011
Excellent Graduate Student, Fudan University, 2012
Outstanding Technical Achievement Award, IBM Research, 2016
Outstanding Technical Achievement Award, IBM Research, 2017
Outstanding Technical Achievement Award, IBM Research, 2018
Outstanding Technical Achievement Award, IBM Research, 2019
IBM Corperate Award, IBM, 2018
Lab Skill Winner, IBM Greater China Group, 2019