Tianjie Ju

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 16

Top Topics

Medical Image Segmentation

Instance Selection

Top Venues

Publications

Tianjie Ju, Weiwei Sun, Wei Du, Xinwei Yuan, Zhaochun Ren, Gongshen Liu
How Large Language Models Encode Context Knowledge? A Layer-Wise Probing Study. CoRR (2024)
Tianjie Ju, Weiwei Sun, Wei Du, Xinwei Yuan, Zhaochun Ren, Gongshen Liu
How Large Language Models Encode Context Knowledge? A Layer-Wise Probing Study. LREC/COLING (2024)
Xinbei Ma, Tianjie Ju, Jiyang Qiu, Zhuosheng Zhang, Hai Zhao, Lifeng Liu, Yulong Wang
Is it Possible to Edit Large Language Models Robustly? CoRR (2024)
Tianjie Ju, Yiting Wang, Xinbei Ma, Pengzhou Cheng, Haodong Zhao, Yulong Wang, Lifeng Liu, Jian Xie, Zhuosheng Zhang, Gongshen Liu
Flooding Spread of Manipulated Knowledge in LLM-Based Multi-Agent Communities. CoRR (2024)
Yubin Zheng, Peng Tang, Tianjie Ju, Weidong Qiu, Bo Yan
Federated Semi-supervised Learning for Medical Image Segmentation with intra-client and inter-client Consistency. CoRR (2024)
Wei Du, Tianjie Ju, Ge Ren, Gaolei Li, Gongshen Liu
Backdoor NLP Models via AI-Generated Text. LREC/COLING (2024)
Tianjie Ju, Yijin Chen, Xinwei Yuan, Zhuosheng Zhang, Wei Du, Yubin Zheng, Gongshen Liu
Investigating Multi-Hop Factual Shortcuts in Knowledge Editing of Large Language Models. CoRR (2024)
Pengzhou Cheng, Yidong Ding, Tianjie Ju, Zongru Wu, Wei Du, Ping Yi, Zhuosheng Zhang, Gongshen Liu
TrojanRAG: Retrieval-Augmented Generation Can Be Backdoor Driver in Large Language Models. CoRR (2024)
Xin Zhang, Tianjie Ju, Huijia Liang, Ying Fu, Qin Zhang
LLMs Instruct LLMs: An Extraction and Editing Method. CoRR (2024)
Tianjie Ju, Yijin Chen, Xinwei Yuan, Zhuosheng Zhang, Wei Du, Yubin Zheng, Gongshen Liu
Investigating Multi-Hop Factual Shortcuts in Knowledge Editing of Large Language Models. ACL (1) (2024)
Wei Du, Peixuan Li, Haodong Zhao, Tianjie Ju, Ge Ren, Gongshen Liu
UOR: Universal Backdoor Attacks on Pre-trained Language Models. ACL (Findings) (2024)
Tianhe Lu, Gongshen Liu, Ru Zhang, Tianjie Ju
Neural Linguistic Steganography with Controllable Security. IJCNN (2023)
Tianjie Ju, Yubin Zheng, Hanyi Wang, Haodong Zhao, Gongshen Liu
Is Continuous Prompt a Combination of Discrete Prompts? Towards a Novel View for Interpreting Continuous Prompts. ACL (Findings) (2023)
Tianhe Lu, Gongshen Liu, Ru Zhang, Peixuan Li, Tianjie Ju
Robust Secret Data Hiding for Transformer-based Neural Machine Translation. IJCNN (2023)
Tianjie Ju, Han Liao, Gongshen Liu
TIMS: A Novel Approach for Incrementally Few-Shot Text Instance Selection via Model Similarity. IJCNN (2022)
Wenting Wei, Tianjie Ju, Han Liao, Weike Zhao, Huaxi Gu
FLAG: Flow Representation Generator based on Self-supervised Learning for Encrypted Traffic Classification. APNet (2021)