Haobo Wang

Hangyuan Lv

Zhong Luo

Sensors, 2023

An ISAR Shape Deception Jamming Method Based on Template Multiplication and Time Delay.

[BibT_eX]

[DOI]

Remote. Sens., 2023

Towards Domain-Specific Features Disentanglement for Domain Generalization.

[BibT_eX]

[DOI]

CoRR, 2023

Rethinking Noisy Label Learning in Real-world Annotation Scenarios from the Noise-type Perspective.

[BibT_eX]

[DOI]

CoRR, 2023

TableGPT: Towards Unifying Tables, Nature Language and Commands into One GPT.

[BibT_eX]

[DOI]

CoRR, 2023

CT-BERT: Learning Better Tabular Representations Through Cross-Table Pre-training.

[BibT_eX]

[DOI]

CoRR, 2023

Assessing Hidden Risks of LLMs: An Empirical Study on Robustness, Consistency, and Credibility.

[BibT_eX]

[DOI]

CoRR, 2023

Controllable Textual Inversion for Personalized Text-to-Image Generation.

[BibT_eX]

[DOI]

CoRR, 2023

Catch: Collaborative Feature Set Search for Automated Feature Engineering.

[BibT_eX]

[DOI]

Proceedings of the ACM Web Conference 2023, 2023

SPA: A Graph Spectral Alignment Perspective for Domain Adaptation.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Debiased and Denoised Entity Recognition from Distant Supervision.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Regression with Cost-based Rejection.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Improving the Transferability of Adversarial Examples with Diverse Gradients.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2023

ProMix: Combating Label Noise via Maximizing Clean Sample Utility.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Deep Partial Multi-Label Learning with Graph Disambiguation.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Latent Processes Identification From Multi-View Time Series.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Towards Controlled Data Augmentations for Active Learning.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

Learning a Data-Driven Policy Network for Pre-Training Automated Feature Engineering.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Image Defogging Method based on Multi-Scale and Frequency Domain Features.

[BibT_eX]

[DOI]

Yinghua Zhou

Proceedings of the 2023 7th International Conference on Innovation in Artificial Intelligence, 2023

CAME: Contrastive Automated Model Evaluation.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

iDAG: Invariant DAG Searching for Domain Generalization.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Resource Allocation and Intelligent Trajectory Optimization for UAV-Assisted Semantic Communication System.

[BibT_eX]

[DOI]

Lingyi Wang

Wei Wu

Proceedings of the 23rd IEEE International Conference on Communication Technology, 2023

FreeAL: Towards Human-Free Active Learning in the Era of Large Language Models.

[BibT_eX]

[DOI]

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Revisiting the Knowledge Injection Frameworks.

[BibT_eX]

[DOI]

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

A Generalized Unbiased Risk Estimator for Learning with Augmented Classes.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

A Hybrid Data Cleaning Framework Using Markov Logic Networks.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2022

Improved Time Synchronous Averaging and Its Application in Data-Driven Rotor Fault Diagnosis.

[BibT_eX]

[DOI]

IEEE Trans. Instrum. Meas., 2022

ISAR Resolution Enhancement Method Exploiting Generative Adversarial Network.

[BibT_eX]

[DOI]

Remote. Sens., 2022

The Emerging Trends of Multi-Label Learning.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2022

An adaptive regression based single-image super-resolution.

[BibT_eX]

[DOI]

Multim. Tools Appl., 2022

A Sparsity-Limitation-Based High-Dimensional Distribution Searching Algorithm for Adversarial Attack.

[BibT_eX]

[DOI]

J. Sensors, 2022

ProMix: Combating Label Noise via Maximizing Clean Sample Utility.

[BibT_eX]

[DOI]

CoRR, 2022

SoLar: Sinkhorn Label Refinery for Imbalanced Partial-Label Learning.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Less-forgetting Multi-lingual Fine-tuning.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Multi-label Learning with Data Self-augmentation.

[BibT_eX]

[DOI]

Proceedings of the Neural Information Processing - 29th International Conference, 2022

PiCO: Contrastive Label Disambiguation for Partial Label Learning.

[BibT_eX]

[DOI]

Proceedings of the Tenth International Conference on Learning Representations, 2022

CLIMBER: defending phase change memory against inconsistent write attacks.

[BibT_eX]

[DOI]

Proceedings of the DAC '22: 59th ACM/IEEE Design Automation Conference, San Francisco, California, USA, July 10, 2022

2021

Large-scale online multi-view graph neural network and applications.

[BibT_eX]

[DOI]

Future Gener. Comput. Syst., 2021

Dual Enhancement for Multi-Label Learning with Missing Labels.

[BibT_eX]

[DOI]

Proceedings of the MLMI 2021: The 4th International Conference on Machine Learning and Machine Intelligence, Hangzhou, China, September 17, 2021

Low-Power Multi-Camera Object Re-Identification using Hierarchical Neural Networks.

[BibT_eX]

[DOI]

George K. Thiruvathukal

Yung-Hsiang Lu

Proceedings of the IEEE/ACM International Symposium on Low Power Electronics and Design, 2021

A Hybrid Data Cleaning Framework Using Markov Logic Networks (Extended Abstract).

[BibT_eX]

[DOI]

Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

2020

Full-Scale Distribution System Topology Identification Using Markov Random Field.

[BibT_eX]

[DOI]

IEEE Trans. Smart Grid, 2020

A Novel Method about the Representation and Discrimination of Traffic State.

[BibT_eX]

[DOI]

Sensors, 2020

Deep Interest-Shifting Network with Meta-Embeddings for Fresh Item Recommendation.

[BibT_eX]

[DOI]

Complex., 2020

Crowdsourcing Detection of Sampling Biases in Image Datasets.

[BibT_eX]

[DOI]

George K. Thiruvathukal

Ming Yin

Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

Secure Transmission Design for Dual-Polarized Satellite System via DL-MPWFRFT and Improved Chaotic Phase Modulation.

[BibT_eX]

[DOI]

Proceedings of the 2020 International Conference on Wireless Communications and Signal Processing (WCSP), 2020

Online Partial Label Learning.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2020

Collaboration Based Multi-Label Propagation for Fraud Detection.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Learning From Multi-Dimensional Partial Labels.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Incorporating Label Embedding and Feature Augmentation for Multi-Dimensional Classification.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Variable-Length Coding With Shared Incremental Redundancy: Design Methods and Examples.

[BibT_eX]

[DOI]

IEEE Trans. Commun., 2019

Multi-Regional Online Car-Hailing Order Quantity Forecasting Based on the Convolutional Neural Network.

[BibT_eX]

[DOI]

Inf., 2019

A Hybrid Data Cleaning Framework using Markov Logic Networks.

[BibT_eX]

[DOI]

CoRR, 2019

Discriminative and Correlative Partial Multi-Label Learning.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Decoding Flash Memory with Progressive Reads and Independent vs. Joint Encoding of Bits in a Cell.

[BibT_eX]

[DOI]

Ethan Liang

Proceedings of the 2019 IEEE Global Communications Conference, 2019

Two-Stage Label Embedding via Neural Factorization Machine for Multi-Label Classification.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Optimizing Flash-Based Storage Systems

[BibT_eX]

[DOI]

PhD thesis, 2018

KT-Store: A Key-Order and Write-Order Hybrid Key-Value Store with High Write and Range-Query Performance.

[BibT_eX]

[DOI]

Proceedings of the Network and Parallel Computing, 2018

A Priority and Fairness Mixed Compaction Scheduling Mechanism for LSM-tree Based KV-Stores.

[BibT_eX]

[DOI]

Proceedings of the Algorithms and Architectures for Parallel Processing, 2018

Channel Code Analysis and Design Using Multiple Variable-Length Codes in Parallel without Feedback.

[BibT_eX]

[DOI]

Proceedings of the IEEE Global Communications Conference, 2018

2017

Three-Dimensional Vehicle-to-Vehicle Channel Modeling with Multiple Moving Scatterers.

[BibT_eX]

[DOI]

Mob. Inf. Syst., 2017

Sequential differential optimization of incremental redundancy transmission lengths: An example with tail-biting convolutional codes.

[BibT_eX]

[DOI]

Kasra Vakilinia

Proceedings of the 2017 Information Theory and Applications Workshop, 2017

An information density approach to analyzing and optimizing incremental redundancy with feedback.

[BibT_eX]

[DOI]

Alexander M. Baldauf

Christopher K. Bachelor

Dariush Divsalar

Proceedings of the 2017 IEEE International Symposium on Information Theory, 2017

Approaching capacity using incremental redundancy without feedback.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE International Symposium on Information Theory, 2017

2016

Using Dynamic Allocation of Write Voltage to Extend Flash Memory Lifetime.

[BibT_eX]

[DOI]

IEEE Trans. Commun., 2016

2015

Minimum information entropy based q-matrix learning in DINA model.

[BibT_eX]

[DOI]

Proceedings of the Fifth International Conference on Learning Analytics And Knowledge, 2015

Histogram-based Flash channel estimation.

[BibT_eX]

[DOI]

Tsung-Yi Chen

Proceedings of the 2015 IEEE International Conference on Communications, 2015

A latent space perturbation algorithm for Boolean Matrix completion based on weighted Frobenius norm.

[BibT_eX]

[DOI]

Proceedings of the 2015 International Conference on Behavioral, 2015

Dynamic voltage allocation with quantized voltage levels and simplified channel modeling.

[BibT_eX]

[DOI]

Proceedings of the 49th Asilomar Conference on Signals, Systems and Computers, 2015

2014

Maximum likelihood estimation based DINA model and Q-matrix learning.

[BibT_eX]

[DOI]

Proceedings of the 2014 International Conference on Behavioral, 2014

2004

A hardware-accelerated implementation of the RSVP-TE signaling protocol.

[BibT_eX]

[DOI]