DeepLink: A Code Knowledge Graph Based Deep Learning Approach for Issue-Commit Link Recovery. - Rui Xie 003; Long Chen; Wei Ye 004; Zhiyu Li; Tianxiang Hu; Dongdong Du; Shikun Zhang (SANER, 2019)

Leveraging Code Generation to Improve Code Retrieval and Summarization via Dual Learning. - Wei Ye 004; Rui Xie 003; Jinglei Zhang; Tianxiang Hu; Xiaoyin Wang; Shikun Zhang (WWW, 2020)

Keyword-Aware Encoder for Abstractive Text Summarization. - Tianxiang Hu; Jingxi Liang; Wei Ye 004; Shikun Zhang (DASFAA (2), 2021)

TransVae: A Novel Variational Sequence-to-Sequence Framework for Semi-supervised Learning and Diversity Improvement. - Xinyi Wang; Tianxiang Hu; Xingzhang Ren; Jinan Sun; Kai Liu 028; Minghui Zhang (IJCNN, 2021)

A Multi-task based Bilateral-Branch Network for Imbalanced Citation Intent Classification. - Tianxiang Hu; Jiyi Li; Fumiyo Fukumoto; Renjie Zhou (IMCOM, 2022)

Low-Resources Project-Specific Code Summarization. - Rui Xie 003; Tianxiang Hu; Wei Ye 004; Shikun Zhang (ASE, 2022)

WCL-BBCD: A Contrastive Learning and Knowledge Graph Approach to Named Entity Recognition. - Renjie Zhou; Qiang Hu; Jian Wan 001; Jilin Zhang; Qiang Liu; Tianxiang Hu; Jianjun Li (CoRR, 2022)

Toothsegnet: Image Degradation Meets Tooth Segmentation in CBCT Images. - Jiaxiang Liu; Tianxiang Hu; Yang Feng 011; Wanghui Ding; Zuozhu Liu (ISBI, 2023)

Fast Model DeBias with Machine Unlearning. - Ruizhe Chen; Jianfei Yang; Huimin Xiong; Jianhong Bai; Tianxiang Hu; Jin Hao; Yang Feng 011; Joey Tianyi Zhou; Jian Wu 001; Zuozhu Liu (NeurIPS, 2023)

Imitation Attacks Can Steal More Than You Think from Machine Translation Systems. - Tianxiang Hu; Pei Zhang 011; Baosong Yang; Jun Xie; Rui Wang 015 (NLPCC (1), 2023)

A ChatGPT Aided Explainable Framework for Zero-Shot Medical Image Diagnosis. - Jiaxiang Liu; Tianxiang Hu; Yan Zhang 004; Xiaotang Gai; Yang Feng 011; Zuozhu Liu (CoRR, 2023)

PolyLM: An Open Source Polyglot Large Language Model. - Xiangpeng Wei; Haoran Wei; Huan Lin; Tianhao Li; Pei Zhang 011; Xingzhang Ren; Mei Li; Yu Wan 004; Zhiwei Cao; Binbin Xie; Tianxiang Hu; Shangjie Li; et al. (CoRR, 2023)

Learnable Privacy Neurons Localization in Language Models. - Ruizhe Chen; Tianxiang Hu; Yang Feng 011; Zuozhu Liu (ACL (Short Papers), 2024)

Large Language Model for Multi-Domain Translation: Benchmarking and Domain CoT Fine-tuning. - Tianxiang Hu; Pei Zhang 011; Baosong Yang; Jun Xie; Derek F. Wong; Rui Wang 015 (EMNLP (Findings), 2024)

VPL: Visual Proxy Learning Framework for Zero-Shot Medical Image Diagnosis. - Jiaxiang Liu; Tianxiang Hu; Huimin Xiong; Jiawei Du; Yang Feng 011; Jian Wu 001; Joey Zhou; Zuozhu Liu (EMNLP (Findings), 2024)

Spike-driven Transformer V2: Meta Spiking Neural Network Architecture Inspiring the Design of Next-generation Neuromorphic Chips. - Man Yao; Jiakui Hu; Tianxiang Hu; Yifan Xu; Zhaokun Zhou; Yonghong Tian 001; Bo Xu 002; Guoqi Li (ICLR, 2024)

Leveraging In-and-Cross Project Pseudo-Summaries for Project-Specific Code Summarization. - Yupeng Wu; Tianxiang Hu; Ninglin Liao; Rui Xie 003; Minghui Zhang; Dongdong Du; Shujun Lin (IJCNN, 2024)

Construction of Manufacturing Workshop Monitoring System Based on Digital Twin. - Huichen Pan; Hui Ye 001; Xiaofei Yang 001; Tianxiang Hu; Wei Liu 166; Xu Wang (INDIN, 2024)

Active Learning for Low-Resource Project-Specific Code Summarization. - Chengli Xing; Tianxiang Hu; Ninglin Liao; Minghui Zhang; Dongdong Du; Yupeng Wu; Qing Gao (KSEM (5), 2024)

SJTU System Description for the WMT24 Low-Resource Languages of Spain Task. - Tianxiang Hu; Haoxiang Sun; Ruize Gao; Jialong Tang; Pei Zhang 011; Baosong Yang; Rui Wang 015 (WMT, 2024)

Final Submission of SJTULoveFiction to Literary Task. - Haoxiang Sun; Tianxiang Hu; Ruize Gao; Jialong Tang; Pei Zhang 011; Baosong Yang; Rui Wang 015 (WMT, 2024)

Parameter-Efficient Transfer Learning for Medical Visual Question Answering. - Jiaxiang Liu; Tianxiang Hu; Yan Zhang 004; Yang Feng 011; Jin Hao; Junhui Lv; Zuozhu Liu (IEEE Trans. Emerg. Top. Comput. Intell., 2024)

KPL: Training-Free Medical Knowledge Mining of Vision-Language Models. - Jiaxiang Liu; Tianxiang Hu; Jiawei Du; Ruiyuan Zhang; Joey Tianyi Zhou; Zuozhu Liu (AAAI, 2025)

FairMT-Bench: Benchmarking Fairness for Multi-turn Dialogue in Conversational LLMs. - Zhiting Fan; Ruizhe Chen; Tianxiang Hu; Zuozhu Liu (ICLR, 2025)

Scaling Spike-Driven Transformer With Efficient Spike Firing Approximation Training. - Man Yao; Xuerui Qiu; Tianxiang Hu; Jiakui Hu; Yuhong Chou; Keyu Tian; Jianxing Liao; Luziwei Leng; Bo Xu 002; Guoqi Li (IEEE Trans. Pattern Anal. Mach. Intell., 2025)

MedEthicsQA: A Comprehensive Question Answering Benchmark for Medical Ethics Evaluation of LLMs. - Jianhui Wei; Zijie Meng; Zikai Xiao; Tianxiang Hu; Yang Feng 011; Zhijie Zhou; Jian Wu 001; Zuozhu Liu (CoRR, 2025)

Detecting and classifying hidden defects in additively manufactured parts using deep learning and X-ray computed tomography. - Miles V. Bimrose; Tianxiang Hu; Davis J. McGregor; Jiongxin Wang; Sameh H. Tawfick; Chenhui Shao; Zuozhu Liu; William P. King (J. Intell. Manuf., 2025)

Correction: Detecting and classifying hidden defects in additively manufactured parts using deep learning and X-ray computed tomography. - Miles V. Bimrose; Tianxiang Hu; Davis J. McGregor; Jiongxin Wang; Sameh H. Tawfick; Chenhui Shao; Zuozhu Liu; William P. King (J. Intell. Manuf., 2025)