Sheng Li
Orcid: 0000-0003-1205-8632Affiliations:
- 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 204 papers
between 2009 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
Unsupervised Class-Imbalanced Domain Adaptation With Pairwise Adversarial Training and Semantic Alignment.
IEEE Trans. Circuits Syst. Video Technol., December, 2024
ACM Trans. Knowl. Discov. Data, August, 2024
Guest Editorial of the Special Section on Multimedia Sensing and Computing for Consumer Electronics.
IEEE Trans. Consumer Electron., May, 2024
Coupling Visual Semantics of Artificial Neural Networks and Human Brain Function via Synchronized Activations.
IEEE Trans. Cogn. Dev. Syst., April, 2024
Trans. Mach. Learn. Res., 2024
Trans. Mach. Learn. Res., 2024
A Survey of Deep Graph Learning under Distribution Shifts: from Graph Out-of-Distribution Generalization to Adaptation.
CoRR, 2024
Backdoor in Seconds: Unlocking Vulnerabilities in Large Pre-trained Models via Model Editing.
CoRR, 2024
No Free Lunch: Retrieval-Augmented Generation Undermines Fairness in LLMs, Even for Vigilant Users.
CoRR, 2024
CoT Rerailer: Enhancing the Reliability of Large Language Models in Complex Reasoning Tasks through Error Detection and Correction.
CoRR, 2024
Through the Theory of Mind's Eye: Reading Minds with Multimodal Video Large Language Models.
CoRR, 2024
Reminding Multimodal Large Language Models of Object-aware Knowledge with Retrieved Tags.
CoRR, 2024
Bridging the Fairness Divide: Achieving Group and Individual Fairness in Graph Neural Networks.
CoRR, 2024
CoRR, 2024
Reasoning before Comparison: LLM-Enhanced Semantic Similarity Metrics for Domain Specialized Text Analysis.
CoRR, 2024
Bridging Causal Discovery and Large Language Models: A Comprehensive Survey of Integrative Approaches and Future Directions.
CoRR, 2024
LLM-Guided Multi-View Hypergraph Learning for Human-Centric Explainable Recommendation.
CoRR, 2024
Comput. Electron. Agric., 2024
Img2Loc: Revisiting Image Geolocalization using Multi-modality Foundation Models and Image-based Retrieval-Augmented Generation.
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024
Proceedings of the 2024 SIAM International Conference on Data Mining, 2024
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024
Text2Seg: Zero-shot Remote Sensing Image Semantic Segmentation via Text-Guided Visual Foundation Models.
Proceedings of the 7th ACM SIGSPATIAL International Workshop on AI for Geographic Knowledge Discovery, 2024
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024
Generalizing to Unseen Domains via Text-Guided Augmentation: A Training-Free Approach.
Proceedings of the Computer Vision - ECCV 2024, 2024
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
BadSAM: Exploring Security Vulnerabilities of SAM via Backdoor Attacks (Student Abstract).
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
IEEE Trans. Knowl. Data Eng., September, 2023
IEEE Trans. Neural Networks Learn. Syst., August, 2023
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
Semi-Supervised Single Domain Generalization with Label-Free Adversarial Data Augmentation.
Trans. Mach. Learn. Res., 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
Towards Artificial General Intelligence (AGI) in the Internet of Things (IoT): Opportunities and Challenges.
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
Text2Seg: Remote Sensing Image Semantic Segmentation via Text-Guided Visual Foundation Models.
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
Proceedings of the 2023 SIAM International Conference on Data Mining, 2023
Proceedings of the 2023 SIAM International Conference on Data Mining, 2023
Proceedings of the 2023 SIAM International Conference on Data Mining, 2023
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023 Workshops, 2023
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Proceedings of the Eleventh International Conference on Learning Representations, 2023
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
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 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
Proceedings of the AAAI Bridge Program on Continual Causality, 2023
2022
IEEE Trans. Neural Networks Learn. Syst., 2022
Neurocomputing, 2022
Coarse-to-fine Knowledge Graph Domain Adaptation based on Distantly-supervised Iterative Training.
CoRR, 2022
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
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
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
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022
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
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
Editorial: IMAVIS special issue on deep cross-media neural model for generating image descriptions.
Image Vis. Comput., 2021
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021
Proceedings of the ICMR '21: International Conference on Multimedia Retrieval, 2021
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
Proceedings of the 2021 IEEE International Conference on Multimedia and Expo, 2021
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
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
2020
IEEE Trans. Neural Networks Learn. Syst., 2020
Learning Hybrid Representation by Robust Dictionary Learning in Factorized Compressed Space.
IEEE Trans. Image Process., 2020
Quantitative Structure-Mutation-Activity Relationship Tests (QSMART) model for protein kinase inhibitor response prediction.
BMC Bioinform., 2020
Proceedings of the RecSys 2020: Fourteenth ACM Conference on Recommender Systems, 2020
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020
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
IEEE Trans. Knowl. Data Eng., 2019
ACM Trans. Knowl. Discov. Data, 2019
IEEE Trans. Emerg. Top. Comput. Intell., 2019
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
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
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
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019
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
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
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019
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
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019
2018
ACM Trans. Multim. Comput. Commun. Appl., 2018
IEEE Trans. Neural Networks Learn. Syst., 2018
ACM Trans. Knowl. Discov. Data, 2018
Stacked Denoising Tensor Auto-Encoder for Action Recognition With Spatiotemporal Corruptions.
IEEE Trans. Image Process., 2018
IEEE Trans. Circuits Syst. Video Technol., 2018
IEEE Trans. Pattern Anal. Mach. Intell., 2018
Proceedings of the PRICAI 2018: Trends in Artificial Intelligence, 2018
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018
Proceedings of the 24th International Conference on Pattern Recognition, 2018
Proceedings of the 24th International Conference on Pattern Recognition, 2018
Proceedings of the 24th International Conference on Pattern Recognition, 2018
Proceedings of the 17th IEEE International Conference on Machine Learning and Applications, 2018
Proceedings of the 2018 IEEE International Conference on Big Knowledge, 2018
Proceedings of the Computer Vision - ECCV 2018, 2018
Proceedings of the 27th International Conference on Computational Linguistics, 2018
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
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
Advanced Information and Knowledge Processing, Springer, ISBN: 978-3-319-60175-5, 2017
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017
Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017
Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017
2016
IEEE Trans. Neural Networks Learn. Syst., 2016
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016
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
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016
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
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
Proceedings of the 2015 SIAM International Conference on Data Mining, Vancouver, BC, Canada, April 30, 2015
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015
Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015
Proceedings of the 24th ACM International Conference on Information and Knowledge Management, 2015
2014
Image Vis. Comput., 2014
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
Proceedings of the IEEE International Conference on Multimedia and Expo, 2014
Proceedings of the 2014 IEEE International Conference on Data Mining, 2014
Proceedings of the Low-Rank and Sparse Modeling for Visual Analysis, 2014
Proceedings of the Low-Rank and Sparse Modeling for Visual Analysis, 2014
2013
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
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
Proceedings of the 20th International Conference on Pattern Recognition, 2010
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
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