Tianyu Gao

This page is a disambiguation page, it actually contains mutiple papers from persons of the same or a similar name.

Bibliography

2024
The coordination mechanism of value co-creation between developers and users in digital innovation ecosystems.
Electron. Mark., December, 2024

An Incipient Fault Diagnosis Method Based on Complex Convolutional Self-Attention Autoencoder for Analog Circuits.
IEEE Trans. Ind. Electron., August, 2024

Model-Assisted Multi-source Fusion Hypergraph Convolutional Neural Networks for intelligent few-shot fault diagnosis to Electro-Hydrostatic Actuator.
Inf. Fusion, April, 2024

A Novel Incipient Fault Diagnosis Method for Analogue Circuits Based on an MLDLCN.
Circuits Syst. Signal Process., February, 2024

Long-Context Language Modeling with Parallel Context Encoding.
CoRR, 2024

Improving Language Understanding from Screenshots.
CoRR, 2024

Harmonizing Covariance and Expressiveness for Deep Hamiltonian Regression in Crystalline Material Research: a Hybrid Cascaded Regression Framework.
CoRR, 2024

2023
A fault location method based on ensemble complex spatio-temporal attention network for complex systems under fluctuating operating conditions.
Appl. Soft Comput., September, 2023

Incipient fault dataset for analog circuits.
Dataset, May, 2023

A Novel Fault Detection Model Based on Vector Quantization Sparse Autoencoder for Nonlinear Complex Systems.
IEEE Trans. Ind. Informatics, March, 2023

A Dual-input Fault Diagnosis Model Based on SE-MSCNN for Analog Circuits.
Appl. Intell., March, 2023

Evaluating Large Language Models at Evaluating Instruction Following.
CoRR, 2023

Sheared LLaMA: Accelerating Language Model Pre-training via Structured Pruning.
CoRR, 2023

STM-UNet: An Efficient U-shaped Architecture Based on Swin Transformer and Multi-scale MLP for Medical Image Segmentation.
CoRR, 2023

Fine-Tuning Language Models with Just Forward Passes.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Data-Driven Discriminable Factors Analytics of Teaching Performance Ratings for College Teachers.
Proceedings of the 12th IEEE International Conference on Educational and Information Technology, 2023

STM-UNet: An Efficient U-shaped Architecture Based on Swin Transformer and Multiscale MLP for Medical Image Segmentation.
Proceedings of the IEEE Global Communications Conference, 2023

Enabling Large Language Models to Generate Text with Citations.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Should You Mask 15% in Masked Language Modeling?
Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023

A Joint Extraction Method of Entity Relationship in Tourism Domain Based on Multi-Dimensional Features and Mixed Time Series.
Proceedings of the Advances in Artificial Intelligence, Big Data and Algorithms - Proceedings of the 3rd International Conference on Artificial Intelligence, Big Data and Algorithms (CAIBDA 2023), 2023

What In-Context Learning "Learns" In-Context: Disentangling Task Recognition and Task Learning.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

The CRINGE Loss: Learning what language not to model.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022
Energy-Based Adversarial Transfer Network for Cross-Domain Fault Diagnosis of Electro-Mechanical Systems.
IEEE Trans. Instrum. Meas., 2022

Cultural differences in neurocognitive mechanisms underlying believing.
NeuroImage, 2022

A novel convolutional neural network with interference suppression for the fault diagnosis of mechanical rotating components.
Neural Comput. Appl., 2022

Bayesian Optimization-based Three-dimensional, Time-varying Environment Monitoring using an UAV.
J. Intell. Robotic Syst., 2022

Identifying depression disorder using multi-view high-order brain function network derived from electroencephalography signal.
Frontiers Comput. Neurosci., 2022

Transformer-based dimensionality reduction.
CoRR, 2022

Novel Mirror-flipped Mode Permutation Technique for Long-haul Mode-division Multiplexing Transmissions.
Proceedings of the Optical Fiber Communications Conference and Exhibition, 2022

Recovering Private Text in Federated Learning of Language Models.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Automatic Label Sequence Generation for Prompting Sequence-to-sequence Models.
Proceedings of the 29th International Conference on Computational Linguistics, 2022

Ditch the Gold Standard: Re-evaluating Conversational Question Answering.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021
An Efficient Method for Monitoring Degradation and Predicting the Remaining Useful Life of Mechanical Rotating Components.
IEEE Trans. Instrum. Meas., 2021

A Novel Incipient Fault Diagnosis Method for Analog Circuits Based on GMKL-SVM and Wavelet Fusion Features.
IEEE Trans. Instrum. Meas., 2021

KEPLER: A Unified Model for Knowledge Embedding and Pre-trained Language Representation.
Trans. Assoc. Comput. Linguistics, 2021

A novel fault diagnosis method for analog circuits with noise immunity and generalization ability.
Neural Comput. Appl., 2021

A Novel Fault Diagnosis Method for Analog Circuits Based on Conditional Variational Neural Networks.
Circuits Syst. Signal Process., 2021

Low-rank and sparse matrix factorization with prior relations for recommender systems.
Appl. Intell., 2021

Adaptive Entity Alignment for Cross-Lingual Knowledge Graph.
Proceedings of the Knowledge Science, Engineering and Management, 2021

Representation Learning of Knowledge Graph with Semantic Vectors.
Proceedings of the Knowledge Science, Engineering and Management, 2021

A Dual-input Fault Diagnosis Model Based on Convolutional Neural Networks and Gated Recurrent Unit Networks for Analog Circuits.
Proceedings of the IEEE International Instrumentation and Measurement Technology Conference, 2021

SimCSE: Simple Contrastive Learning of Sentence Embeddings.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Manual Evaluation Matters: Reviewing Test Protocols of Distantly Supervised Relation Extraction.
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

Making Pre-trained Language Models Better Few-shot Learners.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020
A Fault Diagnosis Method of Rotating Machinery Based on One-Dimensional, Self-Normalizing Convolutional Neural Networks.
Sensors, 2020

GRP: A Gumbel-based Rating Prediction Framework for Imbalanced Recommendation.
CoRR, 2020

Spam transaction attack detection model based on GRU and WGAN-div.
Comput. Commun., 2020

A Gated Recurrent Unit Network Model for Predicting Open Channel Flow in Coal Mines Based on Attention Mechanisms.
IEEE Access, 2020

A Content-Based Method for Sybil Detection in Online Social Networks via Deep Learning.
IEEE Access, 2020

More Data, More Relations, More Context and More Openness: A Review and Outlook for Relation Extraction.
Proceedings of the 1st Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 10th International Joint Conference on Natural Language Processing, 2020

Few-shot Relation Extraction via Bayesian Meta-learning on Relation Graphs.
Proceedings of the 37th International Conference on Machine Learning, 2020

TADO: Time-varying Attention with Dual-Optimizer Model.
Proceedings of the 20th IEEE International Conference on Data Mining, 2020

Learning from Context or Names? An Empirical Study on Neural Relation Extraction.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Meta-Information Guided Meta-Learning for Few-Shot Relation Classification.
Proceedings of the 28th International Conference on Computational Linguistics, 2020

A Single-ball-driven Self-Balancing Robot Controller Based on Genetic Algorithm Optimization.
Proceedings of the AIAM2020: 2nd International Conference on Artificial Intelligence and Advanced Manufacture, 2020

Continual Relation Learning via Episodic Memory Activation and Reconsolidation.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

Neural Snowball for Few-Shot Relation Learning.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
KEPLER: A Unified Model for Knowledge Embedding and Pre-trained Language Representation.
CoRR, 2019

Modeling and Simulation of UAV Carrier Landings.
CoRR, 2019

Minimizing financial cost of scientific workflows under deadline constraints in multi-cloud environments.
Proceedings of the 34th ACM/SIGAPP Symposium on Applied Computing, 2019

Moiré Pattern Removal with Multi-scale Feature Enhancing Network.
Proceedings of the IEEE International Conference on Multimedia & Expo Workshops, 2019

OpenNRE: An Open and Extensible Toolkit for Neural Relation Extraction.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

FewRel 2.0: Towards More Challenging Few-Shot Relation Classification.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Hybrid Attention-Based Prototypical Networks for Noisy Few-Shot Relation Classification.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Low-Rank and Sparse Matrix Factorization for Scientific Paper Recommendation in Heterogeneous Network.
IEEE Access, 2018

On Scheduling of High-Throughput Scientific Workflows under Budget Constraints in Multi-Cloud Environments.
Proceedings of the IEEE International Conference on Parallel & Distributed Processing with Applications, 2018

Lookine: Let the Blind Hear a Smile.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2016
Research on the methods of multipath separation for shallow water wideband signal based on warping transformation.
Proceedings of the International Conference on Computer, 2016


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