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
(CIKM) . 2023
Towards Deeper, Lighter and Interpretable Cross Network for CTR Prediction
(CIKM) . 2023
Triple Structural Information Modelling for Accurate, Explainable and Interactive Recommendation
(SIGIR) . 2023
Personalized Graph Signal Processing for Collaborative Filtering
(WWW) . 2023
CL4CTR: A Contrastive Learning Framework for CTR Prediction
(WSDM) . 2023
Parameter-free Dynamic Graph Embedding for Link Prediction
(NeurIPS) . 2022
Enhancing CTR Prediction with Context-Aware Feature Representation Learning
(SIGIR) . 2022
MINDSim: User Simulator for News Recommenders
(WWW) . 2022
Accurate and Explainable Recommendation via Review Rationalization
(WWW) . 2022
FIRE: Fast Incremental Recommendation with Graph Signal Processing
(WWW) . 2022
How Powerful is Graph Convolution for Recommendation?
(CIKM) . 2021
Incremental Graph Convolutional Network for Collaborative Filtering
(CIKM) . 2021
CoPE: Modeling Continuous Propagation and Evolution on Interaction Graph
(CIKM) . 2021
Graph Collaborative Filtering based on Dual-Message Propagation Mechanism
(TCYB) . 2021
Leveraging Tripartite Interaction Information from Live Stream E-Commerce for Improving Product Recommendation
(KDD) . 2021
SANS: Setwise Attentional Neural Similarity Method for Few-shot Recommendation
(DASFAA) , 2021
NeuSE: A Neural Snapshot Ensemble Method for Collaborative Filtering
(TKDD) , Volume 15Issue 6, 2021
Modeling Dynamic User Preference via Dictionary Learning for Sequential Recommendation
(TKDE) , 10.1109/TKDE.2021.3050407. 2021
Scalable and Explainable 1-Bit Matrix Completion via Graph Signal Learning
(AAAI-21) , 2021
Mixture Matrix Approximation for Collaborative Filtering
(TKDE) , Volume: 33, Issue: 6, 2021.
Collaborative Filtering with Noisy Ratings
(SDM) , 2019
AdaError: An Adaptive Learning Rate Method for Matrix Approximation-based Collaborative Filtering
(WWW) , 2018
Mixture-Rank Matrix Approximation for Collaborative Filtering
(NIPS) , 2017
ERMMA: Expected Risk Minimization for Matrix Approximation-based Recommender Systems
(AAAI) , 2017
GLOMA: Embedding Global Information in Local Matrix Approximation Models for Collaborative Filtering
(AAAI) , 2017 (*Corresponding Author)
Efficient Privacy-preserving Content Recommendation for Online Social Communities
Low-Rank
Matrix Approximation with Stability
(ICML) , 2016
MPMA:
Mixture Probabilistic Matrix Approximation for Collaborative
Filtering
(IJCAI) , 2016 (*Equal Contribution)
An
Algorithm for Efficient Privacy-preserving Item-based
Collaborative Filtering
(FGCS) , 2016
WEMAREC:
Accurate and Scalable Recommendation through Weighted and
Ensemble Matrix Approximation
(SIGIR) , 2015
YANA: An Efficient Privacy-preserving Recommender System for Online Social Communities
(CIKM) , 2011
Pistis: A Privacy-preserving Content Recommender System for Online Social Communities
(WI-IAT) , 2011
HuggingGPT: Solving AI Tasks with ChatGPT and its Friends in Hugging Face
(NeurIPS) . 2023
ContiFormer: Continuous-Time Transformer for Irregular Time Series Modeling
(NeurIPS) . 2023
Train Faster, Perform Better: Modular Adaptive Training in Over-Parameterized Models
(NeurIPS) . 2023
Learning Multi-Agent Intention-Aware Communication for Optimal Multi-Order Execution in Finance
(KDD) . 2023
Towards Understanding Omission in Dialogue Summarization
(ACL) . 2023
DiffusionNER: Boundary Diffusion for Named Entity Recognition
(ACL) . 2023
CircuitNet: A Generic Neural Network to Realize Universal Circuit Motif Modeling
(ICML) . 2023
Online Video Super-Resolution with Convolutional Kernel Bypass Grafts
(TMM) . 2023
Self-supervised Semi-implicit Graph Variational Auto-encoders with Masking
(WWW) . 2023
SIMPLE: Specialized Model-Sample Matching for Domain Generalization
(ICLR) . 2023
EA-HAS-Bench: Energy-aware Hyperparameter and Architecture Search Benchmark
(ICLR) . 2023 (Spotlight)
Over-parameterized Model Optimization with Polyak-{\L}ojasiewicz Condition
(ICLR) . 2023
Explaining Temporal Graph Models through an Explorer-Navigator Framework
(ICLR) . 2023
Data Continuity Matters: Improving Sequence Modeling with Lipschitz Regularizer
(ICLR) . 2023 (Spotlight)
Towards Inference Efficient Deep Ensemble Learning
(AAAI) . 2023
Adaptive Policy Learning for Offline-to-Online Reinforcement Learning
(AAAI) . 2023
Learning Decomposed Spatial Relations for Multi-Variate Time-Series Modeling
(AAAI) . 2023
Similarity Distribution based Membership Inference Attack on Person Re-identification
(AAAI) . 2023
Unveiling Causal Attention in Dogs' Eyes with Smart Eyewear
(IMWUT) , Vol. 6, No. 4, 2022.
Transcormer: Transformer for Sentence Scoring with Sliding Language Modeling
(NeurIPS) . 2022
VRL3: A Data-Driven Framework for Visual Deep Reinforcement Learning
(NeurIPS) . 2022
Bootstrapped Transformer for Offline Reinforcement Learning
(NeurIPS) . 2022
Reinforcement Learning with Automated Auxiliary Loss Search
(NeurIPS) . 2022
CMMD: Cross-Metric Multi-Dimensional Root Cause Analysis
(KDD) . 2022
Finding Global Homophily in Graph Neural Networks When Meeting Heterophily
(ICML) . 2022
Towards Applicable Reinforcement Learning: Improving the Generalization and Sample Efficiency with Policy Ensemble
(IJCAI) . 2022
RenderNet: Unified 2D/3D Recognizer with Latent Space Rendering
(CVPR) . 2022 (Oral)
Variational oracle guiding for reinforcement learning
(ICLR) . 2022
Recursive Disentanglement Network
(ICLR) . 2022
Cross-Modal Ambiguity Learning for Multimodal Fake News Detection
(WWW) . 2022
Neural Piecewise-Constant Delay Differential Equations
(AAAI) . 2022
Invariant Information Bottleneck for Domain Generalization
(AAAI) . 2022
Recognizing Vector Graphics without Rasterization
(NeurIPS) . 2021
Reinforcement Learning Enhanced Explainer for Graph Neural Networks
(NeurIPS) . 2021
Towards Generating Real-World Time Series Data
(ICDM) . 2021
Energy-Based Open-World Uncertainty Modeling for Confidence Calibration
(ICCV) . 2021
A Reinforcement-Learning-Based Energy-Efficient Framework for Multi-Task Video Analytics Pipeline
(TMM) , 2021
Learning Invariant Representations and Risks
for Semi-supervised Domain Adaptation
(CVPR) , 2021
Collaborative Fault Detection for Large-scale Photovoltaic Systems
(TSTE) , Volume: 11, Issue: 4, 2020
Hierarchical Anomaly Detection and Multimodal Classification in Large-Scale Photovoltaic Systems
(TSTE) , Volume: 10, Issue: 3, 2019
Learning Topology-Agnostic EEG Representations with Geometry-Aware Modeling
(NeurIPS) . 2023
End-to-End Word-Level Pronunciation Assessment with MASK Pre-training
(INTERSPEECH) . 2023
Protecting the Future: Neonatal Seizure Detection with Spatial-Temporal Modeling
(SMC) . 2023
Unsupervised Video Anomaly Detection for Stereotypical Behaviours in Autism
(ICASSP) . 2023
Leveraging Pretrained Representations with Task-related Keywords for Alzheimer's Disease Detection
(ICASSP) . 2023
A Hierarchical Regression Chain Framework for Affective Vocal Burst Recognition
(ICASSP) . 2023
Improving Hypernasality Estimation with Automatic Speech Recognition in Cleft Palate Speech
(INTERSPEECH) . 2022
Metabolic characterization of hypertrophic cardiomyopathy in human heart
Predicting the effect of confinement on the COVID-19 spread using machine learning enriched with satellite air pollution observations.
(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
