Tianjie Ju

According to our database, Tianjie Ju authored at least 40 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Dr.V : A Hierarchical Perception-Temporal-Cognition Framework to Diagnose Video Hallucination by Fine-Grained Spatial-Temporal Grounding.

Meng Luo, Shengqiong Wu, Liqiang Jing, Tianjie Ju, Li Zheng, Jinxiang Lai, Tianlong Wu, Xinya Du, Jian Li, Siyuan Yan, Jiebo Luo, William Yang Wang, Hao Fei, Mong-Li Lee, Wynne Hsu

Int. J. Comput. Vis., June, 2026

MineExplorer: Evaluating Open-World Exploration of MLLM Agents in Minecraft.

Tianjie Ju, Yueqing Sun, Zheng Wu, Wei Zhang, Yaqi Huo, Xi Su, Qi Gu, Xunliang Cai, Gongshen Liu, Zhuosheng Zhang

CoRR, May, 2026

Mobile-Aptus: Confidence-Driven Proactive and Robust Interaction in MLLM-based Mobile-Using Agents.

Zheng Wu, Pengzhou Cheng, Zongru Wu, Yuan Guo, Tianjie Ju, Aston Zhang, Gongshen Liu, Zhuosheng Zhang

CoRR, May, 2026

GUI-CIDER: Mid-training GUI Agents via Causal Internalization and Density-aware Exemplar Reselection.

Zheng Wu, Chengcheng Han, Zhengxi Lu, Tianjie Ju, Yanyu Chen, Qi Gu, Xunliang Cai, Zhuosheng Zhang

CoRR, May, 2026

Causal Probing for Internal Visual Representations in Multimodal Large Language Models.

Zehao Deng, Tianjie Ju, Zheng Wu, Liangbo He, Jun Lan, Huijia Zhu, Weiqiang Wang, Zhuosheng Zhang

CoRR, May, 2026

HoneyTrap: Deceiving Large Language Model Attackers to Honeypot Traps with Resilient Multi-Agent Defense.

Siyuan Li, Xi Lin, Jun Wu, Zehao Liu, Haoyu Li, Tianjie Ju, Xiang Chen, Jianhua Li

CoRR, January, 2026

2025

Do Latent Tokens Think? A Causal and Adversarial Analysis of Chain-of-Continuous-Thought.

Yuyi Zhang, Boyu Tang, Tianjie Ju, Sufeng Duan, Gongshen Liu

CoRR, December, 2025

Training High-Level Schedulers with Execution-Feedback Reinforcement Learning for Long-Horizon GUI Automation.

Zehao Deng, Tianjie Ju, Zheng Wu, Zhuosheng Zhang, Gongshen Liu

CoRR, November, 2025

Disagreements in Reasoning: How a Model's Thinking Process Dictates Persuasion in Multi-Agent Systems.

Haodong Zhao, Jidong Li, Zhaomin Wu, Tianjie Ju, Zhuosheng Zhang, Bingsheng He, Gongshen Liu

CoRR, September, 2025

See, Think, Act: Teaching Multimodal Agents to Effectively Interact with GUI by Identifying Toggles.

Zongru Wu, Rui Mao, Zhiyuan Tian, Pengzhou Cheng, Tianjie Ju, Zheng Wu, Lingzhong Dong, Haiyue Sheng, Zhuosheng Zhang, Gongshen Liu

CoRR, September, 2025

On the Adaptive Psychological Persuasion of Large Language Models.

Tianjie Ju, Yujia Chen, Hao Fei, Mong-Li Lee, Wynne Hsu, Pengzhou Cheng, Zongru Wu, Zhuosheng Zhang, Gongshen Liu

CoRR, June, 2025

Hidden Ghost Hand: Unveiling Backdoor Vulnerabilities in MLLM-Powered Mobile GUI Agents.

Pengzhou Cheng, Haowen Hu, Zheng Wu, Zongru Wu, Tianjie Ju, Zhuosheng Zhang, Gongshen Liu

CoRR, May, 2025

EVA: Red-Teaming GUI Agents via Evolving Indirect Prompt Injection.

Yijie Lu, Tianjie Ju, Manman Zhao, Xinbei Ma, Yuan Guo, Zhuosheng Zhang

CoRR, May, 2025

Probing then Editing Response Personality of Large Language Models.

Tianjie Ju, Zhenyu Shao, Bowen Wang, Yujia Chen, Zhuosheng Zhang, Hao Fei, Mong-Li Lee, Wynne Hsu, Sufeng Duan, Gongshen Liu

CoRR, April, 2025

Smoothing Grounding and Reasoning for MLLM-Powered GUI Agents with Query-Oriented Pivot Tasks.

Zongru Wu, Pengzhou Cheng, Zheng Wu, Tianjie Ju, Zhuosheng Zhang, Gongshen Liu

CoRR, March, 2025

Investigating the Adaptive Robustness with Knowledge Conflicts in LLM-based Multi-Agent Systems.

Tianjie Ju, Bowen Wang, Hao Fei, Mong-Li Lee, Wynne Hsu, Yun Li, Qianren Wang, Pengzhou Cheng, Zongru Wu, Zhuosheng Zhang, Gongshen Liu

CoRR, February, 2025

FedDEAP: Adaptive Dual-Prompt Tuning for Multi-Domain Federated Learning.

Yubin Zheng, Pak-Hei Yeung, Jing Xia, Tianjie Ju, Peng Tang, Weidong Qiu, Jagath C. Rajapakse

Proceedings of the 33rd ACM International Conference on Multimedia, 2025

Watch Out Your Album! On the Inadvertent Privacy Memorization in Multi-Modal Large Language Models.

Tianjie Ju, Yi Hua, Hao Fei, Zhenyu Shao, Yubin Zheng, Haodong Zhao, Mong-Li Lee, Wynne Hsu, Zhuosheng Zhang, Gongshen Liu

Proceedings of the Forty-second International Conference on Machine Learning, 2025

On Path to Multimodal Generalist: General-Level and General-Bench.

Hao Fei, Yuan Zhou, Juncheng Li, Xiangtai Li, Qingshan Xu, Bobo Li, Shengqiong Wu, Yaoting Wang, Junbao Zhou, Jiahao Meng, Qingyu Shi, Zhiyuan Zhou, Liangtao Shi, Minghe Gao, Daoan Zhang, Zhiqi Ge, Siliang Tang, Kaihang Pan, Yaobo Ye, Haobo Yuan, Tao Zhang, Weiming Wu, Tianjie Ju, Zixiang Meng, Shilin Xu, Liyu Jia, Wentao Hu, Meng Luo, Jiebo Luo, Tat-Seng Chua, Shuicheng Yan, Hanwang Zhang

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Hidden Ghost Hand: Unveiling Backdoor Vulnerabilities in MLLM-Powered Mobile GUI Agents.

Pengzhou Cheng, Haowen Hu, Zheng Wu, Zongru Wu, Tianjie Ju, Daizong Ding, Zhuosheng Zhang, Gongshen Liu

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

MIND: Towards Immersive Psychological Healing with Multi-Agent Inner Dialogue.

Yujia Chen, Changsong Li, Yiming Wang, Tianjie Ju, Qingqing Xiao, Nan Zhang, Zifan Kong, Peng Wang, Binyu Yan

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

OS-Kairos: Adaptive Interaction for MLLM-Powered GUI Agents.

Pengzhou Cheng, Zheng Wu, Zongru Wu, Tianjie Ju, Aston Zhang, Zhuosheng Zhang, Gongshen Liu

Proceedings of the Findings of the Association for Computational Linguistics, 2025

2024

Transferring Backdoors between Large Language Models by Knowledge Distillation.

Pengzhou Cheng, Zongru Wu, Tianjie Ju, Wei Du, Zhuosheng Zhang, Gongshen Liu

CoRR, 2024

Flooding Spread of Manipulated Knowledge in LLM-Based Multi-Agent Communities.

Tianjie Ju, Yiting Wang, Xinbei Ma, Pengzhou Cheng, Haodong Zhao, Yulong Wang, Lifeng Liu, Jian Xie, Zhuosheng Zhang, Gongshen Liu

CoRR, 2024

TrojanRAG: Retrieval-Augmented Generation Can Be Backdoor Driver in Large Language Models.

Pengzhou Cheng, Yidong Ding, Tianjie Ju, Zongru Wu, Wei Du, Ping Yi, Zhuosheng Zhang, Gongshen Liu

CoRR, 2024

LLMs Instruct LLMs: An Extraction and Editing Method.

Xin Zhang, Tianjie Ju, Huijia Liang, Ying Fu, Qin Zhang

CoRR, 2024

Federated Semi-supervised Learning for Medical Image Segmentation with intra-client and inter-client Consistency.

Yubin Zheng, Peng Tang, Tianjie Ju, Weidong Qiu, Bo Yan

CoRR, 2024

Is it Possible to Edit Large Language Models Robustly?

Xinbei Ma, Tianjie Ju, Jiyang Qiu, Zhuosheng Zhang, Hai Zhao, Lifeng Liu, Yulong Wang

CoRR, 2024

Fine-Grained Contrastive Learning for Pulmonary Nodule Classification.

Yubin Zheng, Peng Tang, Tianjie Ju, Weidong Qiu, Bo Yan

Proceedings of the International Joint Conference on Neural Networks, 2024

On the Robustness of Editing Large Language Models.

Xinbei Ma, Tianjie Ju, Jiyang Qiu, Zhuosheng Zhang, Hai Zhao, Lifeng Liu, Yulong Wang

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

How Large Language Models Encode Context Knowledge? A Layer-Wise Probing Study.

Tianjie Ju, Weiwei Sun, Wei Du, Xinwei Yuan, Zhaochun Ren, Gongshen Liu

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

Backdoor NLP Models via AI-Generated Text.

Wei Du, Tianjie Ju, Ge Ren, Gaolei Li, Gongshen Liu

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

Federated Semi-supervised Learning for Medical Image Segmentation with Intra-client and Inter-client Consistency.

Yubin Zheng, Peng Tang, Tianjie Ju, Hao Wang, Weidong Qiu, Jagath C. Rajapakse

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2024

Investigating Multi-Hop Factual Shortcuts in Knowledge Editing of Large Language Models.

Tianjie Ju, Yijin Chen, Xinwei Yuan, Zhuosheng Zhang, Wei Du, Yubin Zheng, Gongshen Liu

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

UOR: Universal Backdoor Attacks on Pre-trained Language Models.

Wei Du, Peixuan Li, Haodong Zhao, Tianjie Ju, Ge Ren, Gongshen Liu

Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023

Robust Secret Data Hiding for Transformer-based Neural Machine Translation.

Tianhe Lu, Gongshen Liu, Ru Zhang, Peixuan Li, Tianjie Ju

Proceedings of the International Joint Conference on Neural Networks, 2023

Neural Linguistic Steganography with Controllable Security.

Tianhe Lu, Gongshen Liu, Ru Zhang, Tianjie Ju

Proceedings of the International Joint Conference on Neural Networks, 2023

Is Continuous Prompt a Combination of Discrete Prompts? Towards a Novel View for Interpreting Continuous Prompts.

Tianjie Ju, Yubin Zheng, Hanyi Wang, Haodong Zhao, Gongshen Liu

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022

TIMS: A Novel Approach for Incrementally Few-Shot Text Instance Selection via Model Similarity.

Tianjie Ju, Han Liao, Gongshen Liu

Proceedings of the International Joint Conference on Neural Networks, 2022

2021

FLAG: Flow Representation Generator based on Self-supervised Learning for Encrypted Traffic Classification.

Wenting Wei, Tianjie Ju, Han Liao, Weike Zhao, Huaxi Gu

Proceedings of the APNet 2021: 5th Asia-Pacific Workshop on Networking, Shenzhen, China, June 24, 2021