Tianxiang Hu

According to our database1, Tianxiang Hu authored at least 24 papers between 2019 and 2024.

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

Timeline

2019
2020
2021
2022
2023
2024
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5
10
3
2
1
9
3
2
2
1
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Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Other 

Links

On csauthors.net:

Bibliography

2024
Parameter-Efficient Transfer Learning for Medical Visual Question Answering.
IEEE Trans. Emerg. Top. Comput. Intell., August, 2024

Scaling Spike-driven Transformer with Efficient Spike Firing Approximation Training.
CoRR, 2024

FairMT-Bench: Benchmarking Fairness for Multi-turn Dialogue in Conversational LLMs.
CoRR, 2024

Final Submission of SJTULoveFiction to Literary Task.
Proceedings of the Ninth Conference on Machine Translation, 2024

SJTU System Description for the WMT24 Low-Resource Languages of Spain Task.
Proceedings of the Ninth Conference on Machine Translation, 2024

Active Learning for Low-Resource Project-Specific Code Summarization.
Proceedings of the Knowledge Science, Engineering and Management, 2024

Construction of Manufacturing Workshop Monitoring System Based on Digital Twin.
Proceedings of the 22nd IEEE International Conference on Industrial Informatics, 2024

Leveraging In-and-Cross Project Pseudo-Summaries for Project-Specific Code Summarization.
Proceedings of the International Joint Conference on Neural Networks, 2024

Spike-driven Transformer V2: Meta Spiking Neural Network Architecture Inspiring the Design of Next-generation Neuromorphic Chips.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

VPL: Visual Proxy Learning Framework for Zero-Shot Medical Image Diagnosis.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Large Language Model for Multi-Domain Translation: Benchmarking and Domain CoT Fine-tuning.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Learnable Privacy Neurons Localization in Language Models.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics, 2024

2023
PolyLM: An Open Source Polyglot Large Language Model.
CoRR, 2023

A ChatGPT Aided Explainable Framework for Zero-Shot Medical Image Diagnosis.
CoRR, 2023

Imitation Attacks Can Steal More Than You Think from Machine Translation Systems.
Proceedings of the Natural Language Processing and Chinese Computing, 2023

Fast Model DeBias with Machine Unlearning.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Toothsegnet: Image Degradation Meets Tooth Segmentation in CBCT Images.
Proceedings of the 20th IEEE International Symposium on Biomedical Imaging, 2023

2022
WCL-BBCD: A Contrastive Learning and Knowledge Graph Approach to Named Entity Recognition.
CoRR, 2022

Low-Resources Project-Specific Code Summarization.
Proceedings of the 37th IEEE/ACM International Conference on Automated Software Engineering, 2022

A Multi-task based Bilateral-Branch Network for Imbalanced Citation Intent Classification.
Proceedings of the 16th International Conference on Ubiquitous Information Management and Communication, 2022

2021
TransVae: A Novel Variational Sequence-to-Sequence Framework for Semi-supervised Learning and Diversity Improvement.
Proceedings of the International Joint Conference on Neural Networks, 2021

Keyword-Aware Encoder for Abstractive Text Summarization.
Proceedings of the Database Systems for Advanced Applications, 2021

2020
Leveraging Code Generation to Improve Code Retrieval and Summarization via Dual Learning.
Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

2019
DeepLink: A Code Knowledge Graph Based Deep Learning Approach for Issue-Commit Link Recovery.
Proceedings of the 26th IEEE International Conference on Software Analysis, 2019


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