Sheng Li

Affiliations:
  • University of Virginia, Charlottesville, VA, USA
  • University of Georgia, Athens, GA, USA (former)
  • Northeastern University, Boston, MA, USA (former)
  • Nanjing University of Posts and Telecommunications, China (former)


According to our database1, Sheng Li authored at least 174 papers between 2009 and 2023.

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Timeline

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Bibliography

2023
Concept-Level Model Interpretation From the Causal Aspect.
IEEE Trans. Knowl. Data Eng., September, 2023

Cross-Domain Graph Convolutions for Adversarial Unsupervised Domain Adaptation.
IEEE Trans. Neural Networks Learn. Syst., August, 2023

Co-Embedding of Nodes and Edges With Graph Neural Networks.
IEEE Trans. Pattern Anal. Mach. Intell., June, 2023

Phosformer: an explainable transformer model for protein kinase-specific phosphorylation predictions.
Bioinform., February, 2023

Tree visualizations of protein sequence embedding space enable improved functional clustering of diverse protein superfamilies.
Briefings Bioinform., January, 2023

Alignment-free estimation of sequence conservation for identifying functional sites using protein sequence embeddings.
Briefings Bioinform., January, 2023

Physics-guided machine learning from simulated data with different physical parameters.
Knowl. Inf. Syst., 2023

XAI meets Biology: A Comprehensive Review of Explainable AI in Bioinformatics Applications.
CoRR, 2023

Noisy probing dose facilitated dose prediction for pencil beam scanning proton therapy: physics enhances generalizability.
CoRR, 2023

Data-Centric Financial Large Language Models.
CoRR, 2023

Towards Artificial General Intelligence (AGI) in the Internet of Things (IoT): Opportunities and Challenges.
CoRR, 2023

Trustworthy Representation Learning Across Domains.
CoRR, 2023

Leveraging Large Language Models for Pre-trained Recommender Systems.
CoRR, 2023

Enhancing Recommender Systems with Large Language Model Reasoning Graphs.
CoRR, 2023

PharmacyGPT: The AI Pharmacist.
CoRR, 2023

Identification of Causal Relationship between Amyloid-beta Accumulation and Alzheimer's Disease Progression via Counterfactual Inference.
CoRR, 2023

Exploring New Frontiers in Agricultural NLP: Investigating the Potential of Large Language Models for Food Applications.
CoRR, 2023

AD-AutoGPT: An Autonomous GPT for Alzheimer's Disease Infodemiology.
CoRR, 2023

BadSAM: Exploring Security Vulnerabilities of SAM via Backdoor Attacks.
CoRR, 2023

Artificial General Intelligence (AGI) for Education.
CoRR, 2023

Text2Seg: Remote Sensing Image Semantic Segmentation via Text-Guided Visual Foundation Models.
CoRR, 2023

AGI for Agriculture.
CoRR, 2023

ChatAug: Leveraging ChatGPT for Text Data Augmentation.
CoRR, 2023

Mask-guided BERT for Few Shot Text Classification.
CoRR, 2023

Towards Explainable Visual Anomaly Detection.
CoRR, 2023

Causal Effect Estimation: Recent Advances, Challenges, and Opportunities.
CoRR, 2023

More Knowledge, Less Bias: Unbiasing Scene Graph Generation with Explicit Ontological Adjustment.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

XDC: Adaptive Cross Domain Short Text Clustering.
Proceedings of the 2023 SIAM International Conference on Data Mining, 2023

Estimating Propensity Scores with Deep Adaptive Variable Selection.
Proceedings of the 2023 SIAM International Conference on Data Mining, 2023

Towards Trustworthy Representation Learning.
Proceedings of the 2023 SIAM International Conference on Data Mining, 2023

Graph-Based Counterfactual Causal Inference Modeling for Neuroimaging Analysis.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023 Workshops, 2023

pTSE: A Multi-model Ensemble Method for Probabilistic Time Series Forecasting.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Graph-based Semi-supervised Local Clustering with Few Labeled Nodes.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Progressive Mix-Up for Few-Shot Supervised Multi-Source Domain Transfer.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Better Generative Replay for Continual Federated Learning.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Fair Attribute Completion on Graph with Missing Attributes.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Continual Causal Inference with Incremental Observational Data.
Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

Continual Optimization of In-Production Machine Learning Systems Through Semantic Analysis of User Feedback.
Proceedings of the 15th International Conference on Agents and Artificial Intelligence, 2023

Frame Flexible Network.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Coarse-to-fine Knowledge Graph Domain Adaptation based on Distantly-supervised Iterative Training.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2023

Aging Contrast: A Contrastive Learning Framework for Fish Re-identification Across Seasons and Years.
Proceedings of the AI 2023: Advances in Artificial Intelligence, 2023

Continual Treatment Effect Estimation: Challenges and Opportunities.
Proceedings of the AAAI Bridge Program on Continual Causality, 2023

2022
Knowledge-Guided Article Embedding Refinement for Session-Based News Recommendation.
IEEE Trans. Neural Networks Learn. Syst., 2022

Editorial: Deep dictionary learning: Algorithm, theory and application.
Neurocomputing, 2022

Semi-supervised Local Cluster Extraction by Compressive Sensing.
CoRR, 2022

Coarse-to-fine Knowledge Graph Domain Adaptation based on Distantly-supervised Iterative Training.
CoRR, 2022

Coupling Visual Semantics of Artificial Neural Networks and Human Brain Function via Synchronized Activations.
CoRR, 2022

Self-supervision based Semantic Alignment for Unsupervised Domain Adaptation.
Proceedings of the 2022 SIAM International Conference on Data Mining, 2022

Learning Infomax and Domain-Independent Representations for Causal Effect Inference with Real-World Data.
Proceedings of the 2022 SIAM International Conference on Data Mining, 2022

Collaborative Attention Mechanism for Multi-Modal Time Series Classification.
Proceedings of the 2022 SIAM International Conference on Data Mining, 2022

ClinicalRadioBERT: Knowledge-Infused Few Shot Learning for Clinical Notes Named Entity Recognition.
Proceedings of the Machine Learning in Medical Imaging - 13th International Workshop, 2022

Pairwise Adversarial Training for Unsupervised Class-imbalanced Domain Adaptation.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

AgriBERT: Knowledge-Infused Agricultural Language Models for Matching Food and Nutrition.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

CrossMatch: Cross-Classifier Consistency Regularization for Open-Set Single Domain Generalization.
Proceedings of the Tenth International Conference on Learning Representations, 2022

Calibrate Automated Graph Neural Network via Hyperparameter Uncertainty.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Hierarchical Capsule Prediction Network for Marketing Campaigns Effect.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Multi-Task Adversarial Learning for Treatment Effect Estimation in Basket Trials.
Proceedings of the Conference on Health, Inference, and Learning, 2022

Pigmentation-based Visual Learning for Salvelinus fontinalis Individual Re-identification.
Proceedings of the IEEE International Conference on Big Data, 2022

Improving Robustness of Vision Transformers via Data-Augmented Virtual Adversarial Training.
Proceedings of the IEEE International Conference on Big Data, 2022

XDC: Adversarial Adaptive Cross Domain Face Clustering (Student Abstract).
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Flexible Auto-Weighted Local-Coordinate Concept Factorization: A Robust Framework for Unsupervised Clustering.
IEEE Trans. Knowl. Data Eng., 2021

A Survey on Causal Inference.
ACM Trans. Knowl. Discov. Data, 2021

Editorial: IMAVIS special issue on deep cross-media neural model for generating image descriptions.
Image Vis. Comput., 2021

Adversarial Memory Networks for Action Prediction.
CoRR, 2021

Automated Graph Learning via Population Based Self-Tuning GCN.
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

Edge: Enriching Knowledge Graph Embeddings with External Text.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

2.5D Pose Guided Human Image Generation.
Proceedings of the ICMR '21: International Conference on Multimedia Retrieval, 2021

Socially Aware Multimodal Deep Neural Networks for Fake News Classification.
Proceedings of the 4th IEEE International Conference on Multimedia Information Processing and Retrieval, 2021

Graph Infomax Adversarial Learning for Treatment Effect Estimation with Networked Observational Data.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Transferable Feature Learning on Graphs Across Visual Domains.
Proceedings of the 2021 IEEE International Conference on Multimedia and Expo, 2021

Self-supervised Universal Domain Adaptation with Adaptive Memory Separation.
Proceedings of the IEEE International Conference on Data Mining, 2021

Physics-Guided Machine Learning from Simulation Data: An Application in Modeling Lake and River Systems.
Proceedings of the IEEE International Conference on Data Mining, 2021

SCI: Subspace Learning Based Counterfactual Inference for Individual Treatment Effect Estimation.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

A Framework for Knowledge-Derived Query Suggestions.
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

Correlative Channel-Aware Fusion for Multi-View Time Series Classification.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Marginalized Multiview Ensemble Clustering.
IEEE Trans. Neural Networks Learn. Syst., 2020

Learning Hybrid Representation by Robust Dictionary Learning in Factorized Compressed Space.
IEEE Trans. Image Process., 2020

Smart Home Monitoring System via Footstep-Induced Vibrations.
IEEE Syst. J., 2020

Collaborative Attention Mechanism for Multi-View Action Recognition.
CoRR, 2020

Stereotype-Free Classification of Fictitious Faces.
CoRR, 2020

Quantitative Structure-Mutation-Activity Relationship Tests (QSMART) model for protein kinase inhibitor response prediction.
BMC Bioinform., 2020

Context-aware Graph Embedding for Session-based News Recommendation.
Proceedings of the RecSys 2020: Fourteenth ACM Conference on Recommender Systems, 2020

Causal Inference Meets Machine Learning.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

A Survey on Representation Learning for User Modeling.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Learning Discriminative Virtual Sequences for Time Series Classification.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

Matching in Selective and Balanced Representation Space for Treatment Effects Estimation.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

2019
Toward Resolution-Invariant Person Reidentification via Projective Dictionary Learning.
IEEE Trans. Neural Networks Learn. Syst., 2019

Unsupervised Nonnegative Adaptive Feature Extraction for Data Representation.
IEEE Trans. Knowl. Data Eng., 2019

Robust Spectral Ensemble Clustering via Rank Minimization.
ACM Trans. Knowl. Discov. Data, 2019

Visual to Text: Survey of Image and Video Captioning.
IEEE Trans. Emerg. Top. Comput. Intell., 2019

Low-rank analysis-synthesis dictionary learning with adaptively ordinal locality.
Neural Networks, 2019

Witness detection in multi-instance regression and its application for age estimation.
Multim. Tools Appl., 2019

Multi-View Time Series Classification via Global-Local Correlative Channel-Aware Fusion Mechanism.
CoRR, 2019

Domain Switch-Aware Holistic Recurrent Neural Network for Modeling Multi-Domain User Behavior.
Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining, 2019

Training Streaming Factorization Machines with Alternating Least Squares.
Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2019

Spatial Context-Aware Networks for Mining Temporal Discriminative Period in Land Cover Detection.
Proceedings of the 2019 SIAM International Conference on Data Mining, 2019

Robust Subspace Discovery by Block-diagonal Adaptive Locality-constrained Representation.
Proceedings of the 27th ACM International Conference on Multimedia, 2019

Log2Intent: Towards Interpretable User Modeling via Recurrent Semantics Memory Unit.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Towards Robust and Discriminative Sequential Data Learning: When and How to Perform Adversarial Training?
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Scalable Block-Diagonal Locality-Constrained Projective Dictionary Learning.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

On the Estimation of Treatment Effect with Text Covariates.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

CensNet: Convolution with Edge-Node Switching in Graph Neural Networks.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

ACE: Adaptively Similarity-Preserved Representation Learning for Individual Treatment Effect Estimation.
Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

Adaptive Structure-Constrained Robust Latent Low-Rank Coding for Image Recovery.
Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

Robust Unsupervised Flexible Auto-weighted Local-coordinate Concept Factorization for Image Clustering.
Proceedings of the IEEE International Conference on Acoustics, 2019

Fast Spatio-Temporal Residual Network for Video Super-Resolution.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Scene Graph Generation With External Knowledge and Image Reconstruction.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Progress-based Container Scheduling for Short-lived Applications in a Kubernetes Cluster.
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

SADIH: Semantic-Aware DIscrete Hashing.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Early Recognition of 3D Human Actions.
ACM Trans. Multim. Comput. Commun. Appl., 2018

Self-Taught Low-Rank Coding for Visual Learning.
IEEE Trans. Neural Networks Learn. Syst., 2018

Multi-View Low-Rank Analysis with Applications to Outlier Detection.
ACM Trans. Knowl. Discov. Data, 2018

Stacked Denoising Tensor Auto-Encoder for Action Recognition With Spatiotemporal Corruptions.
IEEE Trans. Image Process., 2018

SLMOML: Online Metric Learning With Global Convergence.
IEEE Trans. Circuits Syst. Video Technol., 2018

Person Re-Identification by Cross-View Multi-Level Dictionary Learning.
IEEE Trans. Pattern Anal. Mach. Intell., 2018

Infinite ensemble clustering.
Data Min. Knowl. Discov., 2018

Similarity-Adaptive Latent Low-Rank Representation for Robust Data Representation.
Proceedings of the PRICAI 2018: Trends in Artificial Intelligence, 2018

Representation Learning for Treatment Effect Estimation from Observational Data.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Robust Adaptive Label Propagation by Double Matrix Decomposition.
Proceedings of the 24th International Conference on Pattern Recognition, 2018

Robust Locality-Constrained Label Consistent K-SVD by Joint Sparse Embedding.
Proceedings of the 24th International Conference on Pattern Recognition, 2018

Robust Projective Low-Rank and Sparse Representation by Robust Dictionary Learning.
Proceedings of the 24th International Conference on Pattern Recognition, 2018

Supervised Transfer Learning for Product Information Question Answering.
Proceedings of the 17th IEEE International Conference on Machine Learning and Applications, 2018

Generic Embedded Semantic Dictionary for Robust Multi-Label Classification.
Proceedings of the 2018 IEEE International Conference on Big Knowledge, 2018

Graph Adaptive Knowledge Transfer for Unsupervised Domain Adaptation.
Proceedings of the Computer Vision - ECCV 2018, 2018

A Review on Deep Learning Techniques Applied to Answer Selection.
Proceedings of the 27th International Conference on Computational Linguistics, 2018

A Simple End-to-End Question Answering Model for Product Information.
Proceedings of the First Workshop on Economics and Natural Language Processing, 2018

Discriminative Semi-Coupled Projective Dictionary Learning for Low-Resolution Person Re-Identification.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

Latent Discriminant Subspace Representations for Multi-View Outlier Detection.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

Contextual Collaborative Filtering for Student Response Prediction in Mixed-Format Tests.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Robust Representation for Data Analytics - Models and Applications
Advanced Information and Knowledge Processing, Springer, ISBN: 978-3-319-60175-5, 2017

Videography-Based Unconstrained Video Analysis.
IEEE Trans. Image Process., 2017

Matching on Balanced Nonlinear Representations for Treatment Effects Estimation.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

From Ensemble Clustering to Multi-View Clustering.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Multi-view graph learning with adaptive label propagation.
Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017

Robust multi-label semi-supervised classification.
Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017

2016
Learning Robust and Discriminative Subspace With Low-Rank Constraints.
IEEE Trans. Neural Networks Learn. Syst., 2016

Infinite Ensemble for Image Clustering.
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

Scalable large margin online metric learning.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Unsupervised transfer learning via Low-Rank Coding for image clustering.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Matching via Dimensionality Reduction for Estimation of Treatment Effects in Digital Marketing Campaigns.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Learning Robust Representations for Data Analytics.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Robust Spectral Ensemble Clustering.
Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

Multi-View Time Series Classification: A Discriminative Bilinear Projection Approach.
Proceedings of the 25th ACM International Conference on Information and Knowledge Management, 2016

2015
Learning Balanced and Unbalanced Graphs via Low-Rank Coding.
IEEE Trans. Knowl. Data Eng., 2015

Predicting User Behavior in Display Advertising via Dynamic Collective Matrix Factorization.
Proceedings of the 38th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2015

Multi-View Low-Rank Analysis for Outlier Detection.
Proceedings of the 2015 SIAM International Conference on Data Mining, Vancouver, BC, Canada, April 30, 2015

Deep Linear Coding for Fast Graph Clustering.
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

Cross-View Projective Dictionary Learning for Person Re-Identification.
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

Temporal Subspace Clustering for Human Motion Segmentation.
Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

Deep Collaborative Filtering via Marginalized Denoising Auto-encoder.
Proceedings of the 24th ACM International Conference on Information and Knowledge Management, 2015

2014
Submanifold Decomposition.
IEEE Trans. Circuits Syst. Video Technol., 2014

Learning low-rank and discriminative dictionary for image classification.
Image Vis. Comput., 2014

Robust Subspace Discovery through Supervised Low-Rank Constraints.
Proceedings of the 2014 SIAM International Conference on Data Mining, 2014

Locality linear fitting one-class SVM with low-rank constraints for outlier detection.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

Learning relative features through adaptive pooling for image classification.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2014

Early Classification of Ongoing Observation.
Proceedings of the 2014 IEEE International Conference on Data Mining, 2014

Low-Rank Outlier Detection.
Proceedings of the Low-Rank and Sparse Modeling for Visual Analysis, 2014

Low-Rank and Sparse Dictionary Learning.
Proceedings of the Low-Rank and Sparse Modeling for Visual Analysis, 2014

2013
Low-Rank Coding with b-Matching Constraint for Semi-Supervised Classification.
Proceedings of the IJCAI 2013, 2013

Discriminative dictionary learning with low-rank regularization for face recognition.
Proceedings of the 10th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition, 2013

2012
Supervised and Unsupervised Parallel Subspace Learning for Large-Scale Image Recognition.
IEEE Trans. Circuits Syst. Video Technol., 2012

Palmprint and Face Multi-Modal Biometric Recognition Based on SDA-GSVD and Its Kernelization.
Sensors, 2012

Face feature extraction and recognition based on discriminant subclass-center manifold preserving projection.
Pattern Recognit. Lett., 2012

Optimal subset-division based discrimination and its kernelization for face and palmprint recognition.
Pattern Recognit., 2012

2011
Color image canonical correlation analysis for face feature extraction and recognition.
Signal Process., 2011

A novel kernel discriminant feature extraction framework based on mapped virtual samples for face recognition.
Proceedings of the 18th IEEE International Conference on Image Processing, 2011

Face recognition based on local uncorrelated and weighted global uncorrelated discriminant transforms.
Proceedings of the 18th IEEE International Conference on Image Processing, 2011

Supervised local sparsity preserving projection for face feature extraction.
Proceedings of the First Asian Conference on Pattern Recognition, 2011

2010
Facial Image Recognition Based on a Statistical Uncorrelated Near Class Discriminant Approach.
IEICE Trans. Inf. Syst., 2010

Kernel Uncorrelated Adjacent-class Discriminant Analysis.
Proceedings of the 20th International Conference on Pattern Recognition, 2010

Holistic orthogonal analysis of discriminant transforms for color face recognition.
Proceedings of the International Conference on Image Processing, 2010

2009
Face Recognition Based on Nonlinear DCT Discriminant Feature Extraction Using Improved Kernel DCV.
IEICE Trans. Inf. Syst., 2009

A Regularized Nonlinear Discrimination Approach.
Proceedings of the 2009 Third International Conference on Genetic and Evolutionary Computing, 2009

Face Recognition Based on a Gabor-2DFisherface Approach with Selecting 2D Gabor Principal Components and Discriminant Vectors.
Proceedings of the 2009 Third International Conference on Genetic and Evolutionary Computing, 2009


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