Xiaoqing Zheng

Orcid: 0009-0001-5562-1176

According to our database1, Xiaoqing Zheng authored at least 99 papers between 2005 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Multi-Head Self-Attention-Based Fully Convolutional Network for RUL Prediction of Turbofan Engines.
Algorithms, August, 2024

Few-Shot Fault Diagnosis Based on an Attention-Weighted Relation Network.
Entropy, January, 2024

Zero-Shot Compound Fault Diagnosis Method Using Semantic Construction and Embedding.
IEEE Trans. Instrum. Meas., 2024

A feature space class balancing strategy-based fault classification method in solar photovoltaic modules.
Eng. Appl. Artif. Intell., 2024

Tell Me What You Don't Know: Enhancing Refusal Capabilities of Role-Playing Agents via Representation Space Analysis and Editing.
CoRR, 2024

Dual Advancement of Representation Learning and Clustering for Sparse and Noisy Images.
CoRR, 2024

Enhancing the Capability and Robustness of Large Language Models through Reinforcement Learning-Driven Query Refinement.
CoRR, 2024

Towards Biologically Plausible Computing: A Comprehensive Comparison.
CoRR, 2024

Advancing Spiking Neural Networks for Sequential Modeling with Central Pattern Generators.
CoRR, 2024

Decoding Continuous Character-based Language from Non-invasive Brain Recordings.
CoRR, 2024

Open the Pandora's Box of LLMs: Jailbreaking LLMs through Representation Engineering.
CoRR, 2024

Dual Advancement of Representation Learning and Clustering for Sparse and Noisy Images.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Efficient and Effective Time-Series Forecasting with Spiking Neural Networks.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Unraveling the Enigma of Double Descent: An In-depth Analysis through the Lens of Learned Feature Space.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Promoting Data and Model Privacy in Federated Learning through Quantized LoRA.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Searching for Best Practices in Retrieval-Augmented Generation.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Advancing Parameter Efficiency in Fine-tuning via Representation Editing.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

Aligning Large Language Models with Human Preferences through Representation Engineering.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023
Few-shot intelligent fault diagnosis based on an improved meta-relation network.
Appl. Intell., December, 2023

Research on efficient and accurate computing strategies for complex optimal control problems.
Int. J. Control, November, 2023

Chinese Named Entity Recognition Augmented with Lexicon Memory.
J. Comput. Sci. Technol., September, 2023

Certified Robustness to Text Adversarial Attacks by Randomized [MASK].
Comput. Linguistics, June, 2023

Building Conventional "Experts" With a Dialogue Logic Programming Language.
IEEE ACM Trans. Audio Speech Lang. Process., 2023

Unsupervised Word Segmentation with Bi-directional Neural Language Model.
ACM Trans. Asian Low Resour. Lang. Inf. Process., 2023

On challenges of AI to cognitive security and safety.
Secur. Saf., 2023

Tailoring Personality Traits in Large Language Models via Unsupervisedly-Built Personalized Lexicons.
CoRR, 2023

SpikeCLIP: A Contrastive Language-Image Pretrained Spiking Neural Network.
CoRR, 2023

SpikeBERT: A Language Spikformer Trained with Two-Stage Knowledge Distillation from BERT.
CoRR, 2023

Spinal Nerve Segmentation Method and Dataset Construction in Endoscopic Surgical Scenarios.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2023, 2023

Spiking Convolutional Neural Networks for Text Classification.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Measure Children's Mindreading Ability with Machine Reading.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Parameter Efficient Multi-task Fine-tuning by Learning to Transfer Token-wise Prompts.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Hallucination Detection for Generative Large Language Models by Bayesian Sequential Estimation.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Watermarking PLMs on Classification Tasks by Combining Contrastive Learning with Weight Perturbation.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Enhancing Unsupervised Semantic Parsing with Distributed Contextual Representations.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

TableVLM: Multi-modal Pre-training for Table Structure Recognition.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Improving Empathetic Dialogue Generation by Dynamically Infusing Commonsense Knowledge.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022
Uncertainty-Aware Sequence Labeling.
IEEE ACM Trans. Audio Speech Lang. Process., 2022

An Approach for Time Synchronization of Wireless Accelerometer Sensors Using Frequency-Squeezing-Based Operational Modal Analysis.
Sensors, 2022

Aspect-based sentiment analysis with enhanced aspect-sensitive word embeddings.
Knowl. Inf. Syst., 2022

Learning structured embeddings of knowledge graphs with generative adversarial framework.
Expert Syst. Appl., 2022

Watermarking Pre-trained Language Models with Backdooring.
CoRR, 2022

Regularized Molecular Conformation Fields.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Weight Perturbation as Defense against Adversarial Word Substitutions.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Improving the Adversarial Robustness of NLP Models by Information Bottleneck.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

Towards Adversarially Robust Text Classifiers by Learning to Reweight Clean Examples.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

2021
Generating Responses With a Given Syntactic Pattern in Chinese Dialogues.
IEEE ACM Trans. Audio Speech Lang. Process., 2021

Jointly learning bilingual word embeddings and alignments.
Mach. Transl., 2021

Certified Robustness to Text Adversarial Attacks by Randomized [MASK].
CoRR, 2021

Alleviate Exposure Bias in Sequence Prediction \\ with Recurrent Neural Networks.
CoRR, 2021

SparseGAN: Sparse Generative Adversarial Network for Text Generation.
CoRR, 2021

TextFlint: Unified Multilingual Robustness Evaluation Toolkit for Natural Language Processing.
CoRR, 2021

Unsupervised Word Segmentation with Bi-directional Neural Language Model.
CoRR, 2021

A deep learning-based approach for the automated surface inspection of copper clad laminate images.
Appl. Intell., 2021

On the Transferability of Adversarial Attacks against Neural Text Classifier.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Searching for an Effective Defender: Benchmarking Defense against Adversarial Word Substitution.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Defense against Synonym Substitution-based Adversarial Attacks via Dirichlet Neighborhood Ensemble.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

TextFlint: Unified Multilingual Robustness Evaluation Toolkit for Natural Language Processing.
Proceedings of the Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

Exploration and Exploitation: Two Ways to Improve Chinese Spelling Correction Models.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020
Generating universal language adversarial examples by understanding and enhancing the transferability across neural models.
CoRR, 2020

Unsupervised Summarization by Jointly Extracting Sentences and Keywords.
CoRR, 2020

Improving Coreference Resolution by Leveraging Entity-Centric Features with Graph Neural Networks and Second-order Inference.
CoRR, 2020

Defense against Adversarial Attacks in NLP via Dirichlet Neighborhood Ensemble.
CoRR, 2020

Learning Structured Embeddings of Knowledge Graphs with Adversarial Learning Framework.
CoRR, 2020

A Generic Semi-Supervised Deep Learning-Based Approach for Automated Surface Inspection.
IEEE Access, 2020

Operation Cost Optimization on an Ultralow Emission System Based on Improved Collaborative Optimization.
IEEE Access, 2020

Improving Grammatical Error Correction Models with Purpose-Built Adversarial Examples.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Cross-Lingual Dependency Parsing by POS-Guided Word Reordering.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

Evaluating and Enhancing the Robustness of Neural Network-based Dependency Parsing Models with Adversarial Examples.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019
Generating Responses with a Specific Emotion in Dialog.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018
Stock Price movements Prediction with Textual Information.
Mechatron. Syst. Control., 2018

RNN-Based Sequence-Preserved Attention for Dependency Parsing.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

Attention-based Belief or Disbelief Feature Extraction for Dependency Parsing.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

Geometric Relationship between Word and Context Representations.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Research on identification technology of ship radiated noise and marine biological noise.
Proceedings of the 2017 IEEE International Conference on Signal Processing, 2017

Incremental Graph-based Neural Dependency Parsing.
Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

Learning Context-Specific Word/Character Embeddings.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
The optimization of beer recipe based on an improved ant colony optimization.
Proceedings of the 17th IEEE/ACIS International Conference on Software Engineering, 2016

Context-Specific and Multi-Prototype Character Representations.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

2015
A Deep Neural Network for Modeling Music.
Proceedings of the 5th ACM on International Conference on Multimedia Retrieval, 2015

Character-Based Parsing with Convolutional Neural Network.
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

2013
Deep Learning for Chinese Word Segmentation and POS Tagging.
Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing, 2013

2012
SPARQL Query Mediation over RDF Data Sources with Disparate Contexts.
Proceedings of the WWW2012 Workshop on Linked Data on the Web, 2012

Data extraction from web pages based on structural-semantic entropy.
Proceedings of the 21st World Wide Web Conference, 2012

Using fuzzy logic to discriminate convective and statiform precipitation in Doppler weather radar.
Proceedings of the 9th International Conference on Fuzzy Systems and Knowledge Discovery, 2012

2011
Combining description logics and Horn rules with uncertainty in ARTIGENCE.
Knowl. Based Syst., 2011

A service-oriented travel portal and engineering platform.
Expert Syst. Appl., 2011

2010
Decision Under Insufficient Evidence: A Scalable Probabilistic Way.
Proceedings of the Sixth International Conference on Semantics Knowledge and Grid, 2010

2007
Towards Semantic e-Science for Traditional Chinese Medicine.
BMC Bioinform., 2007

2006
Dynamic Query Optimization Approach for Semantic Database Grid.
J. Comput. Sci. Technol., 2006

A Scalable Probabilistic Approach to Trust Evaluation.
Proceedings of the Trust Management, 4th International Conference, 2006

Develop a Computational Trust Prototype for the Semantic Web.
Proceedings of the 22nd International Conference on Data Engineering Workshops, 2006

Knowledge Fusion in Semantic Grid.
Proceedings of the Grid and Cooperative Computing, 2006

Developing a composite trust model for multi-agent systems.
Proceedings of the 5th International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS 2006), 2006

A Computational Trust Model for Semantic Web Based on Bayesian Decision Theory.
Proceedings of the Frontiers of WWW Research and Development, 2006

Concept Map Model for Web Ontology Exploration.
Proceedings of the Frontiers of WWW Research and Development, 2006

A Reputation-Chain Trust Model for the Semantic Web.
Proceedings of the 20th International Conference on Advanced Information Networking and Applications (AINA 2006), 2006

2005
An Interactive Visual Model for Web Ontologies.
Proceedings of the Knowledge-Based Intelligent Information and Engineering Systems, 2005

Query Optimization in Database Grid.
Proceedings of the Grid and Cooperative Computing - GCC 2005, 4th International Conference, Beijing, China, November 30, 2005


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