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2020 – today
- 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)- [c17]Ruizhe Chen, Tianxiang Hu, Yang Feng, Zuozhu Liu:
Learnable Privacy Neurons Localization in Language Models. ACL (Short Papers) 2024: 256-264 - [c16]Tianxiang Hu, Pei Zhang, Baosong Yang, Jun Xie, Derek F. Wong, Rui Wang:
Large Language Model for Multi-Domain Translation: Benchmarking and Domain CoT Fine-tuning. EMNLP (Findings) 2024: 5726-5746 - [c15]Jiaxiang Liu, Tianxiang Hu, Huimin Xiong, Jiawei Du, Yang Feng, Jian Wu, Joey Zhou, Zuozhu Liu:
VPL: Visual Proxy Learning Framework for Zero-Shot Medical Image Diagnosis. EMNLP (Findings) 2024: 9978-9992 - [c14]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 - [c13]Yupeng Wu, Tianxiang Hu, Ninglin Liao, Rui Xie, Minghui Zhang, Dongdong Du, Shujun Lin:
Leveraging In-and-Cross Project Pseudo-Summaries for Project-Specific Code Summarization. IJCNN 2024: 1-8 - [c12]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 - [c11]Tianxiang Hu, Haoxiang Sun, Ruize Gao, Jialong Tang, Pei Zhang, Baosong Yang, Rui Wang:
SJTU System Description for the WMT24 Low-Resource Languages of Spain Task. WMT 2024: 943-948 - [c10]Haoxiang Sun, Tianxiang Hu, Ruize Gao, Jialong Tang, Pei Zhang, Baosong Yang, Rui Wang:
Final Submission of SJTULoveFiction to Literary Task. WMT 2024: 967-972 - [i10]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) - [i9]Ruizhe Chen, Tianxiang Hu, Yang Feng, Zuozhu Liu:
Learnable Privacy Neurons Localization in Language Models. CoRR abs/2405.10989 (2024) - [i8]Tianxiang Hu, Pei Zhang, Baosong Yang, Jun Xie, Derek F. Wong, Rui Wang:
Large Language Model for Multi-Domain Translation: Benchmarking and Domain CoT Fine-tuning. CoRR abs/2410.02631 (2024) - 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 - [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
- [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 - [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) - 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 - [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)
2010 – 2019
- 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
Coauthor Index
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