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Tianxiang Hu
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Journal Articles
- 2024
- [j1]Jiaxiang Liu
, Tianxiang Hu, Yan Zhang, Yang Feng, Jin Hao
, Junhui Lv, Zuozhu Liu
:
Parameter-Efficient Transfer Learning for Medical Visual Question Answering. IEEE Trans. Emerg. Top. Comput. Intell. 8(4): 2816-2826 (2024)
Conference and Workshop Papers
- 2024
- [c11]Man Yao, Jiakui Hu, Tianxiang Hu, Yifan Xu, Zhaokun Zhou, Yonghong Tian, Bo Xu, Guoqi Li:
Spike-driven Transformer V2: Meta Spiking Neural Network Architecture Inspiring the Design of Next-generation Neuromorphic Chips. ICLR 2024 - [c10]Chengli Xing, Tianxiang Hu, Ninglin Liao, Minghui Zhang, Dongdong Du, Yupeng Wu, Qing Gao:
Active Learning for Low-Resource Project-Specific Code Summarization. KSEM (5) 2024: 48-57 - 2023
- [c9]Jiaxiang Liu, Tianxiang Hu, Yang Feng, Wanghui Ding, Zuozhu Liu:
Toothsegnet: Image Degradation Meets Tooth Segmentation in CBCT Images. ISBI 2023: 1-5 - [c8]Ruizhe Chen, Jianfei Yang, Huimin Xiong, Jianhong Bai, Tianxiang Hu, Jin Hao, Yang Feng, Joey Tianyi Zhou, Jian Wu, Zuozhu Liu:
Fast Model DeBias with Machine Unlearning. NeurIPS 2023 - [c7]Tianxiang Hu, Pei Zhang, Baosong Yang, Jun Xie, Rui Wang:
Imitation Attacks Can Steal More Than You Think from Machine Translation Systems. NLPCC (1) 2023: 400-412 - 2022
- [c6]Tianxiang Hu, Jiyi Li, Fumiyo Fukumoto, Renjie Zhou:
A Multi-task based Bilateral-Branch Network for Imbalanced Citation Intent Classification. IMCOM 2022: 1-8 - [c5]Rui Xie
, Tianxiang Hu, Wei Ye, Shikun Zhang
:
Low-Resources Project-Specific Code Summarization. ASE 2022: 68:1-68:12 - 2021
- [c4]Tianxiang Hu, Jingxi Liang, Wei Ye, Shikun Zhang:
Keyword-Aware Encoder for Abstractive Text Summarization. DASFAA (2) 2021: 37-52 - [c3]Xinyi Wang, Tianxiang Hu, Xingzhang Ren, Jinan Sun, Kai Liu, Minghui Zhang:
TransVae: A Novel Variational Sequence-to-Sequence Framework for Semi-supervised Learning and Diversity Improvement. IJCNN 2021: 1-8 - 2020
- [c2]Wei Ye, Rui Xie
, Jinglei Zhang, Tianxiang Hu, Xiaoyin Wang
, Shikun Zhang:
Leveraging Code Generation to Improve Code Retrieval and Summarization via Dual Learning. WWW 2020: 2309-2319 - 2019
- [c1]Rui Xie
, Long Chen, Wei Ye, Zhiyu Li, Tianxiang Hu, Dongdong Du, Shikun Zhang:
DeepLink: A Code Knowledge Graph Based Deep Learning Approach for Issue-Commit Link Recovery. SANER 2019: 434-444
Informal and Other Publications
- 2024
- [i9]Man Yao, Jiakui Hu, Tianxiang Hu, Yifan Xu, Zhaokun Zhou, Yonghong Tian, Bo Xu, Guoqi Li:
Spike-driven Transformer V2: Meta Spiking Neural Network Architecture Inspiring the Design of Next-generation Neuromorphic Chips. CoRR abs/2404.03663 (2024) - [i8]Ruizhe Chen, Tianxiang Hu, Yang Feng, Zuozhu Liu:
Learnable Privacy Neurons Localization in Language Models. CoRR abs/2405.10989 (2024) - 2023
- [i7]Jiaxiang Liu, Tianxiang Hu, Yang Feng, Wanghui Ding, Zuozhu Liu:
ToothSegNet: Image Degradation meets Tooth Segmentation in CBCT Images. CoRR abs/2307.01979 (2023) - [i6]Jiaxiang Liu, Tianxiang Hu, Yan Zhang, Xiaotang Gai, Yang Feng, Zuozhu Liu:
A ChatGPT Aided Explainable Framework for Zero-Shot Medical Image Diagnosis. CoRR abs/2307.01981 (2023) - [i5]Xiangpeng Wei, Haoran Wei, Huan Lin, Tianhao Li, Pei Zhang, Xingzhang Ren, Mei Li, Yu Wan, Zhiwei Cao
, Binbin Xie, Tianxiang Hu, Shangjie Li, Binyuan Hui, Bowen Yu, Dayiheng Liu, Baosong Yang, Fei Huang, Jun Xie:
PolyLM: An Open Source Polyglot Large Language Model. CoRR abs/2307.06018 (2023) - [i4]Ruizhe Chen, Jianfei Yang, Huimin Xiong, Jianhong Bai, Tianxiang Hu, Jin Hao, Yang Feng, Joey Tianyi Zhou, Jian Wu, Zuozhu Liu:
Fast Model Debias with Machine Unlearning. CoRR abs/2310.12560 (2023) - 2022
- [i3]Renjie Zhou, Qiang Hu, Jian Wan, Jilin Zhang, Qiang Liu, Tianxiang Hu, Jianjun Li:
WCL-BBCD: A Contrastive Learning and Knowledge Graph Approach to Named Entity Recognition. CoRR abs/2203.06925 (2022) - [i2]Rui Xie, Tianxiang Hu, Wei Ye, Shikun Zhang:
Low-Resources Project-Specific Code Summarization. CoRR abs/2210.11843 (2022) - 2020
- [i1]Wei Ye, Rui Xie, Jinglei Zhang, Tianxiang Hu, Xiaoyin Wang, Shikun Zhang:
Leveraging Code Generation to Improve Code Retrieval and Summarization via Dual Learning. CoRR abs/2002.10198 (2020)
Coauthor Index
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