Wenqing Chen

Orcid: 0000-0002-8739-2216

According to our database1, Wenqing Chen authored at least 50 papers between 1999 and 2024.

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Bibliography

2024
Unlock the Potential of Counterfactually-Augmented Data in Out-Of-Distribution Generalization.
Expert Syst. Appl., March, 2024

A new procurement and supply contract for manufacturing technology standards' diffusion from home to host countries.
Int. J. Prod. Res., 2024

Driving in the Occupancy World: Vision-Centric 4D Occupancy Forecasting and Planning via World Models for Autonomous Driving.
CoRR, 2024

LLM-Guided Multi-View Hypergraph Learning for Human-Centric Explainable Recommendation.
CoRR, 2024

Short-Term Power Load Forecasting Method Based on GRU-Transformer Combined Neural Network Model.
J. Comput. Inf. Technol., 2024

F-CodeLLM: A Federated Learning Framework for Adapting Large Language Models to Practical Software Development.
Proceedings of the 2024 IEEE/ACM 46th International Conference on Software Engineering: Companion Proceedings, 2024

Self-Para-Consistency: Improving Reasoning Tasks at Low Cost for Large Language Models.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023
Accurate use of label dependency in multi-label text classification through the lens of causality.
Appl. Intell., October, 2023

A Recommendation System of Personalized Resource Reliability for Online Teaching System under Large-scale User Access.
Mob. Networks Appl., June, 2023

Towards an Understanding of Large Language Models in Software Engineering Tasks.
CoRR, 2023

You Augment Me: Exploring ChatGPT-based Data Augmentation for Semantic Code Search.
Proceedings of the IEEE International Conference on Software Maintenance and Evolution, 2023

A CRNN-GCN Piano Transcription Model Based On Audio And Skeleton Features.
Proceedings of the IEEE International Conference on Acoustics, 2023

Improving the out-of-Distribution Generalization Capability of Language Models: Counterfactually-Augmented Data is not Enough.
Proceedings of the IEEE International Conference on Acoustics, 2023

Chain-of-Thought Tuning: Masked Language Models can also Think Step By Step in Natural Language Understanding.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

MTR: A Dataset Fusing Inductive, Deductive, and Defeasible Reasoning.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Latent Constraints on Unsupervised Text-Graph Alignment with Information Asymmetry.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Preference-Controlled Multi-Objective Reinforcement Learning for Conditional Text Generation.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
A Complement Method for Magnetic Data Based on TCN-SE Model.
Sensors, 2022

To What Extent Do Natural Language Understanding Datasets Correlate to Logical Reasoning? A Method for Diagnosing Logical Reasoning.
Proceedings of the 29th International Conference on Computational Linguistics, 2022

MaxGNR: A Dynamic Weight Strategy via Maximizing Gradient-to-Noise Ratio for Multi-task Learning.
Proceedings of the Computer Vision - ACCV 2022, 2022

Weakly Supervised Neural Symbolic Learning for Cognitive Tasks.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Dependent Multi-Task Learning with Causal Intervention for Image Captioning.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Diagnosing the First-Order Logical Reasoning Ability Through LogicNLI.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

De-Confounded Variational Encoder-Decoder for Logical Table-to-Text Generation.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020
Exploring Logically Dependent Multi-task Learning with Causal Inference.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

A Semantically Consistent and Syntactically Variational Encoder-Decoder Framework for Paraphrase Generation.
Proceedings of the 28th International Conference on Computational Linguistics, 2020

2019
A New GM(1, 1) Model Based on Cubic Monotonicity-Preserving Interpolation Spline.
Symmetry, 2019

Disentangled Makeup Transfer with Generative Adversarial Network.
CoRR, 2019

DS-VIO: Robust and Efficient Stereo Visual Inertial Odometry based on Dual Stage EKF.
CoRR, 2019

RAG: Facial Attribute Editing by Learning Residual Attributes.
IEEE Access, 2019

A Double Stage EKF-based Stereo Visual Inertial Odometry.
Proceedings of the 2019 IEEE International Conference on Real-time Computing and Robotics, 2019

Hierarchical Vehicle Routing for Online Delivery Platform.
Proceedings of the 2019 IEEE Intelligent Transportation Systems Conference, 2019

2018
Show, Attend and Translate: Unpaired Multi-Domain Image-to-Image Translation with Visual Attention.
CoRR, 2018

Gated Multi-Task Network for Text Classification.
Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018

Generative Warfare Nets: Ensemble via Adversaries and Collaborators.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Transformable Convolutional Neural Network for Text Classification.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Online Vehicle Dispatch: from Assignment to Scheduling.
Proceedings of the 2018 IEEE International Conference on Data Mining Workshops, 2018

Multi-Task Label Embedding for Text Classification.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

MCapsNet: Capsule Network for Text with Multi-Task Learning.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Learning What to Share: Leaky Multi-Task Network for Text Classification.
Proceedings of the 27th International Conference on Computational Linguistics, 2018

2017
The Data and Science behind GrabShare Carpooling.
Proceedings of the 2017 IEEE International Conference on Data Science and Advanced Analytics, 2017

2016
Business model ambidexterity and technological innovation performance: evidence from China.
Technol. Anal. Strateg. Manag., 2016

2012
Study of the Coordinate Design Method of Urban Streets and Environment.
J. Softw., 2012

Association of Signal-Controlled Method at Roundabout and Delay.
J. Softw., 2012

2010
From CVaR to Uncertainty Set: Implications in Joint Chance-Constrained Optimization.
Oper. Res., 2010

2009
Goal-Driven Optimization.
Oper. Res., 2009

2005
Adaptive Modulation Scaling Scheme for Wireless Sensor Networks.
IEICE Trans. Commun., 2005

An adaptive code position modulation scheme for wireless sensor networks.
IEEE Commun. Lett., 2005

Virtual MIMO Protocol Based on Clustering for Wireless Sensor Network.
Proceedings of the 10th IEEE Symposium on Computers and Communications (ISCC 2005), 2005

1999
Feedforward neural network based nonlinear dynamical system function reconstruction.
Proceedings of the 6th IEEE International Conference on Electronics, Circuits and Systems, 1999


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