Yaqing Wang

Orcid: 0000-0003-1457-1114

According to our database1, Yaqing Wang authored at least 106 papers between 2013 and 2024.

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Bibliography

2024
A Novel Tensor Learning Model for Joint Relational Triplet Extraction.
IEEE Trans. Cybern., April, 2024

CoRelation: Boosting Automatic ICD Coding Through Contextualized Code Relation Learning.
CoRR, 2024

Force sensing to reconstruct potential energy landscapes for cluttered large obstacle traversal.
CoRR, 2024

2023
Handoff Control and Resource Allocation for RAN Slicing in IoT Based on DTN: An Improved Algorithm Based on Actor-Critic Framework.
IEEE Internet Things J., August, 2023

Design, Control, and Experiments of a Novel Robotic Uterine Manipulator With the Motorized 3-DoF Manipulation Rod.
IEEE Trans. Biomed. Eng., July, 2023

Distilling ensemble of explanations for weakly-supervised pre-training of image segmentation models.
Mach. Learn., June, 2023

Feynman: Federated Learning-Based Advertising for Ecosystems-Oriented Mobile Apps Recommendation.
IEEE Trans. Serv. Comput., 2023

DTN-Assisted Dynamic Cooperative Slicing for Delay-Sensitive Service in MEC-Enabled IoT via Deep Deterministic Policy Gradient With Variable Action.
IEEE Internet Things J., 2023

Omni-SMoLA: Boosting Generalist Multimodal Models with Soft Mixture of Low-rank Experts.
CoRR, 2023

Accurate and interpretable drug-drug interaction prediction enabled by knowledge subgraph learning.
CoRR, 2023

Non-Intrusive Adaptation: Input-Centric Parameter-efficient Fine-Tuning for Versatile Multimodal Modeling.
CoRR, 2023

Automated Evaluation of Personalized Text Generation using Large Language Models.
CoRR, 2023

Outlier Weighed Layerwise Sparsity (OWL): A Missing Secret Sauce for Pruning LLMs to High Sparsity.
CoRR, 2023

MedDiffusion: Boosting Health Risk Prediction via Diffusion-based Data Augmentation.
CoRR, 2023

Hierarchical Adaptation with Hypernetworks for Few-shot Molecular Property Prediction.
CoRR, 2023

DeeDiff: Dynamic Uncertainty-Aware Early Exiting for Accelerating Diffusion Model Generation.
CoRR, 2023

Teach LLMs to Personalize - An Approach inspired by Writing Education.
CoRR, 2023

ColdNAS: Search to Modulate for User Cold-Start Recommendation.
Proceedings of the ACM Web Conference 2023, 2023

Knowledge-Enhanced Semi-Supervised Federated Learning for Aggregating Heterogeneous Lightweight Clients in IoT.
Proceedings of the 2023 SIAM International Conference on Data Mining, 2023

Efficient and Joint Hyperparameter and Architecture Search for Collaborative Filtering.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Macular: A Multi-Task Adversarial Framework for Cross-Lingual Natural Language Understanding.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

LightToken: A Task and Model-agnostic Lightweight Token Embedding Framework for Pre-trained Language Models.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

An Efficient Auction-Based Edge Server Deployment Scheme for Edge Service Provider.
Proceedings of the IEEE Global Communications Conference, 2023

Hierarchical Pretraining on Multimodal Electronic Health Records.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Macedon: Minimizing Representation Coding Rate Reduction for Cross-Lingual Natural Language Understanding.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

HadSkip: Homotopic and Adaptive Layer Skipping of Pre-trained Language Models for Efficient Inference.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

You Need Multiple Exiting: Dynamic Early Exiting for Accelerating Unified Vision Language Model.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

SimFair: A Unified Framework for Fairness-Aware Multi-Label Classification.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

The Co-simulation of PMSM Control System Based on the Equivalent Circuit Extraction Model.
Proceedings of the 23rd IEEE/ACIS International Conference on Computer and Information Science, 2023

2022
Maximizing Average Throughput of Cooperative Cognitive Radio Networks Based on Energy Harvesting.
Sensors, 2022

Exploring the common principal subspace of deep features in neural networks.
Mach. Learn., 2022

Low-rank Tensor Learning with Nonconvex Overlapped Nuclear Norm Regularization.
J. Mach. Learn. Res., 2022

AdaMix: Mixture-of-Adapter for Parameter-efficient Tuning of Large Language Models.
CoRR, 2022

FedKC: Federated Knowledge Composition for Multilingual Natural Language Understanding.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Recognizing Medical Search Query Intent by Few-shot Learning.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Generative Time Series Forecasting with Diffusion, Denoise, and Disentanglement.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

RGL: A Simple yet Effective Relation Graph Augmented Prompt-based Tuning Approach for Few-Shot Learning.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022

LiST: Lite Prompted Self-training Makes Parameter-efficient Few-shot Learners.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022

Omni-Roach: A Legged Robot Capable of Traversing Multiple Types of Large Obstacles and Self-Righting.
Proceedings of the 2022 International Conference on Robotics and Automation, 2022

Heterogeneous Information Enhanced Prerequisite Learning in Massive Open Online Courses.
Proceedings of the IEEE International Conference on Data Mining, 2022

Simplified Graph Learning for Inductive Short Text Classification.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

AdaMix: Mixture-of-Adaptations for Parameter-efficient Model Tuning.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

2021
Generalizing from a Few Examples: A Survey on Few-shot Learning.
ACM Comput. Surv., 2021

Environmental force sensing enables robots to traverse cluttered obstacles with interaction.
CoRR, 2021

LiST: Lite Self-training Makes Efficient Few-shot Learners.
CoRR, 2021

Tele-Operated Oropharyngeal Swab (TOOS) RobotEnabled by TSS Soft Hand for Safe and EffectiveCOVID-19 OP Sampling.
CoRR, 2021

FedCon: A Contrastive Framework for Federated Semi-Supervised Learning.
CoRR, 2021

Property-aware Adaptive Relation Networks for Molecular Property Prediction.
CoRR, 2021

MedPath: Augmenting Health Risk Prediction via Medical Knowledge Paths.
Proceedings of the WWW '21: The Web Conference 2021, 2021

A Scalable, Adaptive and Sound Nonconvex Regularizer for Low-rank Matrix Learning.
Proceedings of the WWW '21: The Web Conference 2021, 2021

Fair Classification Under Strict Unawareness.
Proceedings of the 2021 SIAM International Conference on Data Mining, 2021

Towards Learning Outcome Prediction via Modeling Question Explanations and Student Responses.
Proceedings of the 2021 SIAM International Conference on Data Mining, 2021

Property-Aware Relation Networks for Few-Shot Molecular Property Prediction.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Multimodal Emergent Fake News Detection via Meta Neural Process Networks.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Meta Self-training for Few-shot Neural Sequence Labeling.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Hierarchical Heterogeneous Graph Representation Learning for Short Text Classification.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Knowledge-Guided Paraphrase Identification.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

Learning from Language Description: Low-shot Named Entity Recognition via Decomposed Framework.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

MedRetriever: Target-Driven Interpretable Health Risk Prediction via Retrieving Unstructured Medical Text.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

A Lightweight Knowledge Graph Embedding Framework for Efficient Inference and Storage.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

FedTriNet: A Pseudo Labeling Method with Three Players for Federated Semi-supervised Learning.
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

InterHG: an Interpretable and Accurate Model for Hypothesis Generation.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

2020
Generalized Convolutional Sparse Coding With Unknown Noise.
IEEE Trans. Image Process., 2020

Hand-Eye Calibration of Surgical Instrument for Robotic Surgery Using Interactive Manipulation.
IEEE Robotics Autom. Lett., 2020

A cross-domain hierarchical recurrent model for personalized session-based recommendations.
Neurocomputing, 2020

FedSemi: An Adaptive Federated Semi-Supervised Learning Framework.
CoRR, 2020

A Benchmark Dataset for Understandable Medical Language Translation.
CoRR, 2020

Adaptive Self-training for Few-shot Neural Sequence Labeling.
CoRR, 2020

Efficient Low-Rank Matrix Learning by Factorizable Nonconvex Regularization.
CoRR, 2020

Decomposed Adversarial Learned Inference.
CoRR, 2020

Rare Disease Prediction by Generating Quality-Assured Electronic Health Records.
Proceedings of the 2020 SIAM International Conference on Data Mining, 2020

Automatic Validation of Textual Attribute Values in E-commerce Catalog by Learning with Limited Labeled Data.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

AutoKnow: Self-Driving Knowledge Collection for Products of Thousands of Types.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

LP-Explain: Local Pictorial Explanation for Outliers.
Proceedings of the 20th IEEE International Conference on Data Mining, 2020

Efficient Knowledge Graph Validation via Cross-Graph Representation Learning.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

Weak Supervision for Fake News Detection via Reinforcement Learning.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
User identity linkage across social networks via linked heterogeneous network embedding.
World Wide Web, 2019

Dual-Arm Robotic Needle Insertion With Active Tissue Deformation for Autonomous Suturing.
IEEE Robotics Autom. Lett., 2019

Network embedding based on deep extreme learning machine.
Int. J. Mach. Learn. Cybern., 2019

Incorporating medical code descriptions for diagnosis prediction in healthcare.
BMC Medical Informatics Decis. Mak., 2019

Vision-based detection of container lock holes using a modified local sliding window method.
EURASIP J. Image Video Process., 2019

Few-shot Learning: A Survey.
CoRR, 2019

General Convolutional Sparse Coding with Unknown Noise.
CoRR, 2019

A hybrid self-attention deep learning framework for multivariate sleep stage classification.
BMC Bioinform., 2019

MeSHProbeNet: a self-attentive probe net for MeSH indexing.
Bioinform., 2019

Solving the Sparsity Problem in Recommendations via Cross-Domain Item Embedding Based on Co-Clustering.
Proceedings of the Twelfth ACM International Conference on Web Search and Data Mining, 2019

Hypothesis Generation From Text Based On Co-Evolution Of Biomedical Concepts.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Inductive Embedding Learning on Attributed Heterogeneous Networks via Multi-task Sequence-to-Sequence Learning.
Proceedings of the 2019 IEEE International Conference on Data Mining, 2019

2018
Scalable Online Convolutional Sparse Coding.
IEEE Trans. Image Process., 2018

State Fusion Estimation for Networked Stochastic Hybrid Systems With Asynchronous Sensors and Multiple Packet Dropouts.
IEEE Access, 2018

Towards Environment Independent Device Free Human Activity Recognition.
Proceedings of the 24th Annual International Conference on Mobile Computing and Networking, 2018

EANN: Event Adversarial Neural Networks for Multi-Modal Fake News Detection.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

Concepts-Bridges: Uncovering Conceptual Bridges Based on Biomedical Concept Evolution.
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018

Online Convolutional Sparse Coding with Sample-Dependent Dictionary.
Proceedings of the 35th International Conference on Machine Learning, 2018

MuVAN: A Multi-view Attention Network for Multivariate Temporal Data.
Proceedings of the IEEE International Conference on Data Mining, 2018

Interpretable Word Embeddings for Medical Domain.
Proceedings of the IEEE International Conference on Data Mining, 2018

Event2vec: Heterogeneous Hypergraph Embedding for Event Data.
Proceedings of the 2018 IEEE International Conference on Data Mining Workshops, 2018

Multivariate Sleep Stage Classification using Hybrid Self-Attentive Deep Learning Networks.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018

A General Framework for Diagnosis Prediction via Incorporating Medical Code Descriptions.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018

Leveraging the Power of Informative Users for Local Event Detection.
Proceedings of the IEEE/ACM 2018 International Conference on Advances in Social Networks Analysis and Mining, 2018

2017
Online Convolutional Sparse Coding.
CoRR, 2017

Zero-shot learning with a partial set of observed attributes.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

Discovering Truths from Distributed Data.
Proceedings of the 2017 IEEE International Conference on Data Mining, 2017

2014
Hypergraph canonical correlation analysis for multi-label classification.
Signal Process., 2014

2013
An Estimation of Distribution Algorithm for Steiner Tree Problem.
Proceedings of the 10th IEEE International Conference on High Performance Computing and Communications & 2013 IEEE International Conference on Embedded and Ubiquitous Computing, 2013

An Energy-Aware Ant Colony Optimization Routing Algorithm in the Private Network.
Proceedings of the 10th IEEE International Conference on High Performance Computing and Communications & 2013 IEEE International Conference on Embedded and Ubiquitous Computing, 2013


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