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2020 – today
- 2026
[j1]Hongyu Zhu
, Sichu Liang, Bofan Chen, Shi-Lin Wang, Zhuosheng Zhang, Weiping Ding:
Auditing Partial Dataset Usage in Large Language Models via Fuzzy Membership Aggregation. IEEE Trans. Fuzzy Syst. 34(4): 1064-1078 (2026)- [i9]Sichu Liang, Zhenglin Wang, Jiajia Chu, Pengfei Xia, Hui Zang, Deyu Zhou:
When KV Cache Reuse Fails in Multi-Agent Systems: Cross-Candidate Interaction is Crucial for LLM Judges. CoRR abs/2601.08343 (2026) - [i8]Sichu Liang, Hongyu Zhu, Wenwen Wang, Deyu Zhou:
Can Vision Replace Text in Working Memory? Evidence from Spatial n-Back in Vision-Language Models. CoRR abs/2602.04355 (2026) - 2025
- [c6]Hongyu Zhu, Sichu Liang, Wentao Hu, Wenwen Wang, Fangqi Li, Shilin Wang, Zhuosheng Zhang:
Stealing Knowledge from Auditable Datasets. ECAI 2025: 993-1000 - [c5]Sichu Liang, Linhai Zhang, Hongyu Zhu, Wenwen Wang, Yulan He, Deyu Zhou:
RGAR: Recurrence Generation-augmented Retrieval for Factual-aware Medical Question Answering. EMNLP (Findings) 2025: 4006-4033 - [c4]Hongyu Zhu, Wentao Hu, Sichu Liang, Fangqi Li, Wenwen Wang, Shilin Wang:
Efficient and Effective Model Extraction. ICASSP 2025: 1-5 - [c3]Hongyu Zhu, Sichu Liang, Wenwen Wang, Boheng Li, Tongxin Yuan, Fangqi Li, Hanyi Wang, Shi-Lin Wang, Zhuosheng Zhang:
Revisiting Data Auditing in Large Vision-Language Models. ACM Multimedia 2025: 11337-11346 - [i7]Sichu Liang, Linhai Zhang, Hongyu Zhu, Wenwen Wang, Yulan He, Deyu Zhou:
RGAR: Recurrence Generation-augmented Retrieval for Factual-aware Medical Question Answering. CoRR abs/2502.13361 (2025) - [i6]Hongyu Zhu, Sichu Liang, Wenwen Wang, Boheng Li, Tongxin Yuan, Fangqi Li, Shi-Lin Wang, Zhuosheng Zhang:
Revisiting Data Auditing in Large Vision-Language Models. CoRR abs/2504.18349 (2025) - [i5]Hongyu Zhu, Sichu Liang, Wenwen Wang, Zhuomeng Zhang, Fangqi Li, Shi-Lin Wang:
Evading Data Provenance in Deep Neural Networks. CoRR abs/2508.01074 (2025) - 2024
- [c2]Hongyu Zhu, Sichu Liang, Wentao Hu, Fang-Qi Li, Yali Yuan, Shi-Lin Wang, Guang Cheng:
Improve Deep Forest with Learnable Layerwise Augmentation Policy Schedules. ICASSP 2024: 6660-6664 - [c1]Hongyu Zhu, Sichu Liang, Wentao Hu, Fangqi Li, Ju Jia, Shi-Lin Wang:
Reliable Model Watermarking: Defending against Theft without Compromising on Evasion. ACM Multimedia 2024: 10124-10133 - [i4]Hongyu Zhu, Sichu Liang, Wentao Hu, Fangqi Li, Ju Jia, Shilin Wang:
Reliable Model Watermarking: Defending Against Theft without Compromising on Evasion. CoRR abs/2404.13518 (2024) - [i3]Hongyu Zhu, Wentao Hu, Sichu Liang, Fangqi Li, Wenwen Wang, Shilin Wang:
Efficient and Effective Model Extraction. CoRR abs/2409.14122 (2024) - 2023
- [i2]Hongyu Zhu, Sichu Liang, Wentao Hu, Fang-Qi Li, Yali Yuan, Shi-Lin Wang, Guang Cheng:
Improve Deep Forest with Learnable Layerwise Augmentation Policy Schedule. CoRR abs/2309.09030 (2023) - 2022
- [i1]Jiale Fu, Yali Yuan, Jiajun He, Sichu Liang, Zhe Huang, Hongyu Zhu:
An Input-Aware Mimic Defense Theory and its Practice. CoRR abs/2208.10276 (2022)
Coauthor Index
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