Dongsheng Li

Orcid: 0000-0003-3103-8442

Affiliations:
  • Microsoft Research Asia, Shanghai, China (since 2020)
  • IBM Research - China, Shanghai, China (2015-2020)
  • Fudan University, Shanghai, China (2007-2012, PhD 2012)


According to our database1, Dongsheng Li authored at least 170 papers between 2011 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Simulating News Recommendation Ecosystems for Insights and Implications.
IEEE Trans. Comput. Soc. Syst., October, 2024

RAH! RecSys-Assistant-Human: A Human-Centered Recommendation Framework With LLM Agents.
IEEE Trans. Comput. Soc. Syst., October, 2024

Re-ID-leak: Membership Inference Attacks Against Person Re-identification.
Int. J. Comput. Vis., October, 2024

Large Language Models Empowered Autonomous Edge AI for Connected Intelligence.
IEEE Commun. Mag., October, 2024

Heterogeneous Graph Neural Network with Personalized and Adaptive Diversity for News Recommendation.
ACM Trans. Web, August, 2024

Learning Domain Invariant Prompt for Vision-Language Models.
IEEE Trans. Image Process., 2024

Online Streaming Video Super-Resolution With Convolutional Look-Up Table.
IEEE Trans. Image Process., 2024

Invisible Backdoor Attack With Dynamic Triggers Against Person Re-Identification.
IEEE Trans. Inf. Forensics Secur., 2024

Constructing and Masking Preference Profile with LLMs for Filtering Discomforting Recommendation.
CoRR, 2024

How Do Large Language Models Understand Graph Patterns? A Benchmark for Graph Pattern Comprehension.
CoRR, 2024

Denoising Reuse: Exploiting Inter-frame Motion Consistency for Efficient Video Latent Generation.
CoRR, 2024

NeuroLM: A Universal Multi-task Foundation Model for Bridging the Gap between Language and EEG Signals.
CoRR, 2024

HPT++: Hierarchically Prompting Vision-Language Models with Multi-Granularity Knowledge Generation and Improved Structure Modeling.
CoRR, 2024

Revisiting the Graph Reasoning Ability of Large Language Models: Case Studies in Translation, Connectivity and Shortest Path.
CoRR, 2024

GraphTransfer: A Generic Feature Fusion Framework for Collaborative Filtering.
CoRR, 2024

AOTree: Aspect Order Tree-based Model for Explainable Recommendation.
CoRR, 2024

MInference 1.0: Accelerating Pre-filling for Long-Context LLMs via Dynamic Sparse Attention.
CoRR, 2024

EvoAgent: Towards Automatic Multi-Agent Generation via Evolutionary Algorithms.
CoRR, 2024

Mitigate Position Bias in Large Language Models via Scaling a Single Dimension.
CoRR, 2024

DiffPhysBA: Diffusion-based Physical Backdoor Attack against Person Re-Identification in Real-World.
CoRR, 2024

Advancing Spiking Neural Networks for Sequential Modeling with Central Pattern Generators.
CoRR, 2024

Compression-Realized Deep Structural Network for Video Quality Enhancement.
CoRR, 2024

A Large-scale Medical Visual Task Adaptation Benchmark.
CoRR, 2024

LLM-RadJudge: Achieving Radiologist-Level Evaluation for X-Ray Report Generation.
CoRR, 2024

LSPT: Long-term Spatial Prompt Tuning for Visual Representation Learning.
CoRR, 2024

Frequency-aware Graph Signal Processing for Collaborative Filtering.
CoRR, 2024

EEGFormer: Towards Transferable and Interpretable Large-Scale EEG Foundation Model.
CoRR, 2024

EASYTOOL: Enhancing LLM-based Agents with Concise Tool Instruction.
CoRR, 2024

Hierarchical Graph Signal Processing for Collaborative Filtering.
Proceedings of the ACM on Web Conference 2024, 2024

Neural Kalman Filtering for Robust Temporal Recommendation.
Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 2024

Resurrecting Label Propagation for Graphs with Heterophily and Label Noise.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

LLMs Can Find Mathematical Reasoning Mistakes by Pedagogical Chain-of-Thought.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Efficient and Effective Time-Series Forecasting with Spiking Neural Networks.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Addressing Signal Delay in Deep Reinforcement Learning.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

CNN Kernels Can Be the Best Shapelets.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Training-free Multi-objective Diffusion Model for 3D Molecule Generation.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Online Video Quality Enhancement with Spatial-Temporal Look-Up Tables.
Proceedings of the Computer Vision - ECCV 2024, 2024

Unified Medical Image Pre-training in Language-Guided Common Semantic Space.
Proceedings of the Computer Vision - ECCV 2024, 2024

MLCopilot: Unleashing the Power of Large Language Models in Solving Machine Learning Tasks.
Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics, 2024

Automated Contrastive Learning Strategy Search for Time Series.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

LongLLMLingua: Accelerating and Enhancing LLMs in Long Context Scenarios via Prompt Compression.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

Improving Large Language Models in Event Relation Logical Prediction.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

Recommender Systems - Frontiers and Practices
Springer, ISBN: 978-981-99-8963-8, 2024

2023
Relevance-aware graph neural network for session-based recommendation.
Computing, October, 2023

Global spatio-temporal aware graph neural network for next point-of-interest recommendation.
Appl. Intell., July, 2023

A time-aware self-attention based neural network model for sequential recommendation.
Appl. Soft Comput., January, 2023

Online Video Super-Resolution With Convolutional Kernel Bypass Grafts.
IEEE Trans. Multim., 2023

Graph Collaborative Filtering Based on Dual-Message Propagation Mechanism.
IEEE Trans. Cybern., 2023

Toward Open-ended Embodied Tasks Solving.
CoRR, 2023

TaskBench: Benchmarking Large Language Models for Task Automation.
CoRR, 2023

AdaMedGraph: Adaboosting Graph Neural Networks for Personalized Medicine.
CoRR, 2023

A Comprehensive Summarization and Evaluation of Feature Refinement Modules for CTR Prediction.
CoRR, 2023

Label Propagation for Graph Label Noise.
CoRR, 2023

Learning To Teach Large Language Models Logical Reasoning.
CoRR, 2023

RAH! RecSys-Assistant-Human: A Human-Central Recommendation Framework with Large Language Models.
CoRR, 2023

Seeing through the Brain: Image Reconstruction of Visual Perception from Human Brain Signals.
CoRR, 2023

Recommendation Unlearning via Matrix Correction.
CoRR, 2023

Is Risk-Sensitive Reinforcement Learning Properly Resolved?
CoRR, 2023

Simulating News Recommendation Ecosystem for Fun and Profit.
CoRR, 2023

Habits and goals in synergy: a variational Bayesian framework for behavior.
CoRR, 2023

Biological Factor Regulatory Neural Network.
CoRR, 2023

HuggingGPT: Solving AI Tasks with ChatGPT and its Friends in HuggingFace.
CoRR, 2023

Online Video Streaming Super-Resolution with Adaptive Look-Up Table Fusion.
CoRR, 2023

Self-supervised Semi-implicit Graph Variational Auto-encoders with Masking.
CoRR, 2023

A semantic relation-aware deep neural network model for end-to-end conversational recommendation.
Appl. Soft Comput., 2023

Personalized Graph Signal Processing for Collaborative Filtering.
Proceedings of the ACM Web Conference 2023, 2023

SeeGera: Self-supervised Semi-implicit Graph Variational Auto-encoders with Masking.
Proceedings of the ACM Web Conference 2023, 2023

CL4CTR: A Contrastive Learning Framework for CTR Prediction.
Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

Protecting the Future: Neonatal Seizure Detection with Spatial-Temporal Modeling.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2023

Triple Structural Information Modelling for Accurate, Explainable and Interactive Recommendation.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Learning Topology-Agnostic EEG Representations with Geometry-Aware Modeling.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Train Faster, Perform Better: Modular Adaptive Training in Over-Parameterized Models.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

ContiFormer: Continuous-Time Transformer for Irregular Time Series Modeling.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

HuggingGPT: Solving AI Tasks with ChatGPT and its Friends in Hugging Face.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Learning Multi-Agent Intention-Aware Communication for Optimal Multi-Order Execution in Finance.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

End-to-End Word-Level Pronunciation Assessment with MASK Pre-training.
Proceedings of the 24th Annual Conference of the International Speech Communication Association, 2023

CircuitNet: A Generic Neural Network to Realize Universal Circuit Motif Modeling.
Proceedings of the International Conference on Machine Learning, 2023

Explaining Temporal Graph Models through an Explorer-Navigator Framework.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Data Continuity Matters: Improving Sequence Modeling with Lipschitz Regularizer.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

SIMPLE: Specialized Model-Sample Matching for Domain Generalization.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

EA-HAS-Bench: Energy-aware Hyperparameter and Architecture Search Benchmark.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Over-parameterized Model Optimization with Polyak-Łojasiewicz Condition.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

A Hierarchical Regression Chain Framework for Affective Vocal Burst Recognition.
Proceedings of the IEEE International Conference on Acoustics, 2023

Leveraging Pretrained Representations With Task-Related Keywords for Alzheimer's Disease Detection.
Proceedings of the IEEE International Conference on Acoustics, 2023

Unsupervised Video Anomaly Detection For Stereotypical Behaviours in Autism.
Proceedings of the IEEE International Conference on Acoustics, 2023

Towards Deeper, Lighter and Interpretable Cross Network for CTR Prediction.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

AutoSeqRec: Autoencoder for Efficient Sequential Recommendation.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Towards Understanding Omission in Dialogue Summarization.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

DiffusionNER: Boundary Diffusion for Named Entity Recognition.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Adaptive Policy Learning for Offline-to-Online Reinforcement Learning.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Towards Inference Efficient Deep Ensemble Learning.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Similarity Distribution Based Membership Inference Attack on Person Re-identification.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Learning Decomposed Spatial Relations for Multi-Variate Time-Series Modeling.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
A Reinforcement-Learning-Based Energy-Efficient Framework for Multi-Task Video Analytics Pipeline.
IEEE Trans. Multim., 2022

Modeling Dynamic User Preference via Dictionary Learning for Sequential Recommendation.
IEEE Trans. Knowl. Data Eng., 2022

Unveiling Causal Attention in Dogs' Eyes with Smart Eyewear.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., 2022

Online Video Super-Resolution with Convolutional Kernel Bypass Graft.
CoRR, 2022

Towards Privacy-Preserving Person Re-identification via Person Identify Shift.
CoRR, 2022

Your Autoregressive Generative Model Can be Better If You Treat It as an Energy-Based One.
CoRR, 2022

Domain Generalization using Pretrained Models without Fine-tuning.
CoRR, 2022

FIRE: Fast Incremental Recommendation with Graph Signal Processing.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Accurate and Explainable Recommendation via Review Rationalization.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

MINDSim: User Simulator for News Recommenders.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Cross-modal Ambiguity Learning for Multimodal Fake News Detection.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Enhancing CTR Prediction with Context-Aware Feature Representation Learning.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Bootstrapped Transformer for Offline Reinforcement Learning.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

VRL3: A Data-Driven Framework for Visual Deep Reinforcement Learning.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Transcormer: Transformer for Sentence Scoring with Sliding Language Modeling.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Parameter-free Dynamic Graph Embedding for Link Prediction.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Reinforcement Learning with Automated Auxiliary Loss Search.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

CMMD: Cross-Metric Multi-Dimensional Root Cause Analysis.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Improving Hypernasality Estimation with Automatic Speech Recognition in Cleft Palate Speech.
Proceedings of the 23rd Annual Conference of the International Speech Communication Association, 2022

Towards Applicable Reinforcement Learning: Improving the Generalization and Sample Efficiency with Policy Ensemble.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Finding Global Homophily in Graph Neural Networks When Meeting Heterophily.
Proceedings of the International Conference on Machine Learning, 2022

Variational oracle guiding for reinforcement learning.
Proceedings of the Tenth International Conference on Learning Representations, 2022

Recursive Disentanglement Network.
Proceedings of the Tenth International Conference on Learning Representations, 2022

MCRF: Enhancing CTR Prediction Models via Multi-channel Feature Refinement Framework.
Proceedings of the Database Systems for Advanced Applications, 2022

RendNet: Unified 2D/3D Recognizer with Latent Space Rendering.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Team Formation and Task Recommendation for Disabled People in Crowdsourcing Systems.
Proceedings of the 25th IEEE International Conference on Computer Supported Cooperative Work in Design, 2022

Popularity Bias Analysis of Recommendation Algorithm Based on ABM Simulation.
Proceedings of the Computer Supported Cooperative Work and Social Computing, 2022

Neural Piecewise-Constant Delay Differential Equations.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

Invariant Information Bottleneck for Domain Generalization.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Mixture Matrix Approximation for Collaborative Filtering.
IEEE Trans. Knowl. Data Eng., 2021

NeuSE: A Neural Snapshot Ensemble Method for Collaborative Filtering.
ACM Trans. Knowl. Discov. Data, 2021

Accurate and Explainable Recommendation via Hierarchical Attention Network Oriented Towards Crowd Intelligence.
Knowl. Based Syst., 2021

Full-Cycle Energy Consumption Benchmark for Low-Carbon Computer Vision.
CoRR, 2021

Invariant Information Bottleneck for Domain Generalization.
CoRR, 2021

Reinforcement Learning Enhanced Explainer for Graph Neural Networks.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Recognizing Vector Graphics without Rasterization.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Leveraging Tripartite Interaction Information from Live Stream E-Commerce for Improving Product Recommendation.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Learning Content and Context with Language Bias for Visual Question Answering.
Proceedings of the 2021 IEEE International Conference on Multimedia and Expo, 2021

Towards Generating Real-World Time Series Data.
Proceedings of the IEEE International Conference on Data Mining, 2021

Energy-Based Open-World Uncertainty Modeling for Confidence Calibration.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

SANS: Setwise Attentional Neural Similarity Method for Few-Shot Recommendation.
Proceedings of the Database Systems for Advanced Applications, 2021

Learning Invariant Representations and Risks for Semi-Supervised Domain Adaptation.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

A Review Construction-based Approach to Collaborative Filtering.
Proceedings of the 24th IEEE International Conference on Computer Supported Cooperative Work in Design, 2021

CoPE: Modeling Continuous Propagation and Evolution on Interaction Graph.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Incremental Graph Convolutional Network for Collaborative Filtering.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

How Powerful is Graph Convolution for Recommendation?
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Decentralized Statistical Inference with Unrolled Graph Neural Networks.
Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

Scalable and Explainable 1-Bit Matrix Completion via Graph Signal Learning.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Gated and attentive neural collaborative filtering for user generated list recommendation.
Knowl. Based Syst., 2020

Memory-aware gated factorization machine for top-N recommendation.
Knowl. Based Syst., 2020

PPGN: Phrase-Guided Proposal Generation Network For Referring Expression Comprehension.
CoRR, 2020

Hierarchical Attentional Factorization Machines for Expert Recommendation in Community Question Answering.
IEEE Access, 2020

2019
Collaborative Filtering with Noisy Ratings.
Proceedings of the 2019 SIAM International Conference on Data Mining, 2019

Matrix Approximation with Cumulative Penalty for Collaborative Filtering.
Proceedings of the 23rd IEEE International Conference on Computer Supported Cooperative Work in Design, 2019

Synergizing Local and Global Models for Matrix Approximation.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

A Recommendation Method of Barrier-Free Facilities Construction Based on Geographic Information.
Proceedings of the Computer Supported Cooperative Work and Social Computing, 2019

2018
A Scalable Algorithm for Privacy-Preserving Item-based Top-N Recommendation.
CoRR, 2018

Collaborative Filtering with Stability.
CoRR, 2018

AdaError: An Adaptive Learning Rate Method for Matrix Approximation-based Collaborative Filtering.
Proceedings of the 2018 World Wide Web Conference on World Wide Web, 2018

Deriving Customer Privacy from Randomly Perturbed Smart Metering Data.
Proceedings of the 16th IEEE International Conference on Industrial Informatics, 2018

An Algorithmic Method for Tampering-Proof and Privacy-Preserving Smart Metering.
Proceedings of the 16th IEEE International Conference on Industrial Informatics, 2018

Stable Matrix Approximation for Top-N Recommendation on Implicit Feedback Data.
Proceedings of the 51st Hawaii International Conference on System Sciences, 2018

2017
Efficient privacy-preserving content recommendation for online social communities.
Neurocomputing, 2017

Mixture-Rank Matrix Approximation for Collaborative Filtering.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Multi-task matrix factorization for collaborative filtering.
Proceedings of the 21st IEEE International Conference on Computer Supported Cooperative Work in Design, 2017

ERMMA: Expected Risk Minimization for Matrix Approximation-based Recommender Systems.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

GLOMA: Embedding Global Information in Local Matrix Approximation Models for Collaborative Filtering.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
SalesExplorer: Exploring sales opportunities from white-space customers in the enterprise market.
Knowl. Based Syst., 2016

An algorithm for efficient privacy-preserving item-based collaborative filtering.
Future Gener. Comput. Syst., 2016

MPMA: Mixture Probabilistic Matrix Approximation for Collaborative Filtering.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Low-Rank Matrix Approximation with Stability.
Proceedings of the 33nd International Conference on Machine Learning, 2016

2015
WEMAREC: Accurate and Scalable Recommendation through Weighted and Ensemble Matrix Approximation.
Proceedings of the 38th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2015

2014
Item-based top-N recommendation resilient to aggregated information revelation.
Knowl. Based Syst., 2014

2013
AOPUT: A recommendation framework based on social activities and content interests.
Proceedings of the 2013 IEEE 17th International Conference on Computer Supported Cooperative Work in Design (CSCWD), 2013

2012
Interest-based real-time content recommendation in online social communities.
Knowl. Based Syst., 2012

2011
Pistis: A Privacy-Preserving Content Recommender System for Online Social Communities.
Proceedings of the 2011 IEEE/WIC/ACM International Conference on Web Intelligence, 2011

YANA: an efficient privacy-preserving recommender system for online social communities.
Proceedings of the 20th ACM Conference on Information and Knowledge Management, 2011


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