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2020 – today
- 2026
[j2]Zhenya Ma
, Yongheng Deng, Ziqing Qiao, Quan Zhang, Chijin Zhou, Fan Wu, Yaoxue Zhang, Ju Ren:
A Fine-Tuning Data Recovery Attack on Generative Language Models via Backdooring. IEEE Trans. Inf. Forensics Secur. 21: 3006-3021 (2026)- [j1]Zhenya Ma, Yongheng Deng, Ziqing Qiao, Yongjian Fu, Sheng Yue, Ju Ren:
Toward Communication-Efficient and Data-Free Collaborative Fine-Tuning Between Small and Large Language Models. IEEE Trans. Netw. 34: 5333-5348 (2026) - [c3]Zhenya Ma, Tingyi Wang, Yongheng Deng, Ziqing Qiao, Yinggui Wang, Tao Wei, Lei Wang, Ju Ren:
CoTrust: Privacy-Preserving Collaboration Between Large and Small Language Models in Trusted Execution Environments. ACL (Findings) 2026: 21423-21440 - [i4]Cheng Gao, Cheng Huang, Kangyang Luo, Ziqing Qiao, Shuzheng Si, Huimin Chen, Chaojun Xiao, Maosong Sun:
KARL: Mitigating Hallucinations in LLMs via Knowledge-Boundary-Aware Reinforcement Learning. CoRR abs/2604.22779 (2026) - [i3]Ziqing Qiao, Yinuo Xu, Chaojun Xiao, Zhou Su, Zihan Zhou, Yingfa Chen, Xiaoyue Xu, Xu Han, Zhiyuan Liu:
Rethinking the Role of Efficient Attention in Hybrid Architectures. CoRR abs/2606.15378 (2026) - 2025
- [c2]Ziqing Qiao, Yongheng Deng, Jiali Zeng, Dong Wang, Lai Wei, Guanbo Wang, Fandong Meng, Jie Zhou, Ju Ren, Yaoxue Zhang:
ConCISE: Confidence-guided Compression in Step-by-step Efficient Reasoning. EMNLP 2025: 8010-8029 - [c1]Yongheng Deng, Ziqing Qiao, Ye Zhang, Zhenya Ma, Yang Liu, Ju Ren:
CrossLM: A Data-Free Collaborative Fine-Tuning Framework for Large and Small Language Models. MobiSys 2025: 124-137 - [i2]Ziqing Qiao, Yongheng Deng, Jiali Zeng, Dong Wang, Lai Wei, Fandong Meng, Jie Zhou, Ju Ren, Yaoxue Zhang:
ConCISE: Confidence-guided Compression in Step-by-step Efficient Reasoning. CoRR abs/2505.04881 (2025) - 2023
- [i1]Yongheng Deng, Ziqing Qiao, Ju Ren, Yang Liu, Yaoxue Zhang:
Mutual Enhancement of Large and Small Language Models with Cross-Silo Knowledge Transfer. CoRR abs/2312.05842 (2023)
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