Guoqing Zheng

According to our database1, Guoqing Zheng authored at least 48 papers between 2006 and 2024.

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Bibliography

2024
Toward Robust Graph Semi-Supervised Learning Against Extreme Data Scarcity.
IEEE Trans. Neural Networks Learn. Syst., September, 2024

CR-MoE: Consistent Routed Mixture-of-Experts for Scaling Contrastive Learning.
Trans. Mach. Learn. Res., 2024

AgentInstruct: Toward Generative Teaching with Agentic Flows.
CoRR, 2024

Dataset Distillation with Channel Efficient Process.
Proceedings of the IEEE International Conference on Acoustics, 2024

Hybrid-RACA: Hybrid Retrieval-Augmented Composition Assistance for Real-time Text Prediction.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing: EMNLP 2024, 2024

2023
Anomaly-Based Ship Detection Using SP Feature-Space Learning with False-Alarm Control in Sea-Surface SAR Images.
Remote. Sens., July, 2023

Orca 2: Teaching Small Language Models How to Reason.
CoRR, 2023

Sweeping Heterogeneity with Smart MoPs: Mixture of Prompts for LLM Task Adaptation.
CoRR, 2023

Hybrid Retrieval-Augmented Generation for Real-time Composition Assistance.
CoRR, 2023

Fed-ZERO: Efficient Zero-shot Personalization with Federated Mixture of Experts.
CoRR, 2023

Graph-Based Dependency-Aware Non-Intrusive Load Monitoring.
Proceedings of the Pattern Recognition and Computer Vision - 6th Chinese Conference, 2023

Infrared and Visible Image Fusion via Test-Time Training.
Proceedings of the Pattern Recognition and Computer Vision - 6th Chinese Conference, 2023

Axiomatic Preference Modeling for Longform Question Answering.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

ADMoE: Anomaly Detection with Mixture-of-Experts from Noisy Labels.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Adaptive CFAR Method for SAR Ship Detection Using Intensity and Texture Feature Fusion Attention Contrast Mechanism.
Sensors, 2022

Learning with Few Labeled Nodes via Augmented Graph Self-Training.
CoRR, 2022

WALNUT: A Benchmark on Semi-weakly Supervised Learning for Natural Language Understanding.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Knowledge Infused Decoding.
Proceedings of the Tenth International Conference on Learning Representations, 2022

Boosting Natural Language Generation from Instructions with Meta-Learning.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Pathologies of Pre-trained Language Models in Few-shot Fine-tuning.
Proceedings of the Third Workshop on Insights from Negative Results in NLP, 2022

2021
CLUES: Few-Shot Learning Evaluation in Natural Language Understanding.
CoRR, 2021

MetaXT: Meta Cross-Task Transfer between Disparate Label Spaces.
CoRR, 2021

WALNUT: A Benchmark on Weakly Supervised Learning for Natural Language Understanding.
CoRR, 2021

Few-Shot Learning Evaluation in Natural Language Understanding.
Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

MetaXL: Meta Representation Transformation for Low-resource Cross-lingual Learning.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Self-Training with Weak Supervision.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

A Conditional Generative Matching Model for Multi-lingual Reply Suggestion.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

A Dataset and Baselines for Multilingual Reply Suggestion.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

Meta Label Correction for Noisy Label Learning.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Leveraging Multi-Source Weak Social Supervision for Early Detection of Fake News.
CoRR, 2020

Learning with Weak Supervision for Email Intent Detection.
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

Early Detection of Fake News with Multi-source Weak Social Supervision.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2020

Complementary Auxiliary Classifiers for Label-Conditional Text Generation.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Meta Label Correction for Learning with Weak Supervision.
CoRR, 2019

2018
Stochastic WaveNet: A Generative Latent Variable Model for Sequential Data.
CoRR, 2018

2017
Likelihood Almost Free Inference Networks.
CoRR, 2017

Convolutional Normalizing Flows.
CoRR, 2017

Experiments in Curation: Towards Machine-Assisted Construction of Software Architecture Knowledge Bases.
Proceedings of the 2017 IEEE International Conference on Software Architecture, 2017

2016
Efficient Shift-Invariant Dictionary Learning.
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016

2015
Modeling seed user from short message records.
Int. J. Model. Simul. Sci. Comput., 2015

Learning to Reweight Terms with Distributed Representations.
Proceedings of the 38th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2015

2014
Probabilistic text modeling with orthogonalized topics.
Proceedings of the 37th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2014

2012
News comments generation via mining microblogs.
Proceedings of the 21st World Wide Web Conference, 2012

Collaborative personalized tweet recommendation.
Proceedings of the 35th International ACM SIGIR conference on research and development in Information Retrieval, 2012

2011
MSRA at TAC 2011: Entity Linking.
Proceedings of the Fourth Text Analysis Conference, 2011

Mining topics on participations for community discovery.
Proceedings of the Proceeding of the 34th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2011

2010
A topical link model for community discovery in textual interaction graph.
Proceedings of the 19th ACM Conference on Information and Knowledge Management, 2010

2006
Meta-heuristic algorithms for parameter estimation of semi-parametric linear regression models.
Comput. Stat. Data Anal., 2006


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