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ORCIDLan Zhang 0005
- > Home > Persons > Lan Zhang 0005
Publications
- 2025
[c29]Chenpei Huang
, Hui Zhong, Zhen Chen, Xiaoqi Qin, Lan Zhang, Xiaoyong (Biran) Yuan, Miao Pan:
Leveraging Binary Ear Canal Scanning Code for User Authentication in Earbuds. CHI Extended Abstracts 2025: 377:1-377:7- [i20]Shiwei Ding, Lan Zhang, Zhenlin Wang, Giuseppe Ateniese, Xiaoyong Yuan:
You Don't Need All Attentions: Distributed Dynamic Fine-Tuning for Foundation Models. CoRR abs/2504.12471 (2025) - [i19]Xiaoyong Yuan, Xiaolong Ma, Linke Guo, Lan Zhang:
What Lurks Within? Concept Auditing for Shared Diffusion Models at Scale. CoRR abs/2504.14815 (2025) - [i18]Harsh Ravivarapu, Gaurav Bagwe, Xiaoyong Yuan, Chunxiu Yu, Lan Zhang:
Sample-Efficient Reinforcement Learning Controller for Deep Brain Stimulation in Parkinson's Disease. CoRR abs/2507.06326 (2025) - 2024
- [j23]Shuai Lyu, Yao Sun, Linke Guo, Xiaoyong Yuan, Fang Fang, Lan Zhang, Xianbin Wang:
Improving Channel Resilience for Task-Oriented Semantic Communications: A Unified Information Bottleneck Approach. IEEE Commun. Lett. 28(11): 2623-2627 (2024) - [j22]Wensheng Xia, Ying Li, Lan Zhang, Zhonghai Wu, Xiaoyong Yuan:
Cascade Vertical Federated Learning Towards Straggler Mitigation and Label Privacy Over Distributed Labels. IEEE Trans. Big Data 10(6): 926-939 (2024) - [c27]Saket S. Chaturvedi, Lan Zhang, Wenbin Zhang, Pan He, Xiaoyong Yuan:
BadFusion: 2D-Oriented Backdoor Attacks against 3D Object Detection. IJCAI 2024: 349-357 - [c26]Jessica Mehregan, Xiaoyong Yuan, Gaurav Bagwe, Jacob Jackson, Ezedin Mohammed, Lan Zhang, Chunxiu Yu:
Enhancing Adaptive Deep Brain Stimulation via Efficient Reinforcement Learning. MobileCloud 2024: 38-45 - [c25]Shiwei Ding, Lan Zhang, Miao Pan, Xiaoyong Yuan:
PATROL: Privacy-Oriented Pruning for Collaborative Inference Against Model Inversion Attacks. WACV 2024: 4704-4713 - [i16]Shuai Lyu, Yao Sun, Linke Guo, Xiaoyong Yuan, Fang Fang, Lan Zhang, Xianbin Wang:
Improving Channel Resilience for Task-Oriented Semantic Communications: A Unified Information Bottleneck Approach. CoRR abs/2405.00135 (2024) - [i15]Saket S. Chaturvedi, Lan Zhang, Wenbin Zhang, Pan He, Xiaoyong Yuan:
BadFusion: 2D-Oriented Backdoor Attacks against 3D Object Detection. CoRR abs/2405.03884 (2024) - 2023
- [c24]Lan Zhang, Madhureeta Das, Yao Sun, Dusit Niyato, Xiaoyong Yuan:
Prompt-Based Transceiver Cooperation for Semantic Communications with Domain-Incremental Background Knowledge. GLOBECOM 2023: 2087-2092 - [c22]Hong Huang, Lan Zhang, Chaoyue Sun, Ruogu Fang, Xiaoyong Yuan, Dapeng Wu:
Distributed Pruning Towards Tiny Neural Networks in Federated Learning. ICDCS 2023: 190-201 - [c21]Madhureeta Das, Gaurav Bagwe, Miao Pan, Xiaoyong Yuan, Lan Zhang:
Learning, Tiny and Huge: Heterogeneous Model Augmentation Towards Federated Tiny Learning. ICMLA 2023: 90-97 - [c20]Gaurav Bagwe, Xiaoyong Yuan, Xianhao Chen, Lan Zhang:
RAMRL: Towards Robust On-Ramp Merging via Augmented Multimodal Reinforcement Learning. MOST 2023: 23-33 - [c19]Madhureeta Das, Zhen Liu, Xianhao Chen, Xiaoyong Yuan, Lan Zhang:
Embracing Semi-supervised Domain Adaptation for Federated Knowledge Transfer. SmartSP 2023: 100-113 - [i13]Gaurav Bagwe, Xiaoyong Yuan, Miao Pan, Lan Zhang:
Fed-CPrompt: Contrastive Prompt for Rehearsal-Free Federated Continual Learning. CoRR abs/2307.04869 (2023) - [i12]Shiwei Ding, Lan Zhang, Miao Pan, Xiaoyong Yuan:
PATROL: Privacy-Oriented Pruning for Collaborative Inference Against Model Inversion Attacks. CoRR abs/2307.10981 (2023) - 2022
- [j12]Xiaoyong Yuan, Xiyao Ma, Lan Zhang, Yuguang Fang, Dapeng Wu:
Beyond Class-Level Privacy Leakage: Breaking Record-Level Privacy in Federated Learning. IEEE Internet Things J. 9(4): 2555-2565 (2022) - [j10]Xiaoyong Yuan, Leah Ding, Lan Zhang, Xiaolin Li, Dapeng Oliver Wu:
ES Attack: Model Stealing Against Deep Neural Networks Without Data Hurdles. IEEE Trans. Emerg. Top. Comput. Intell. 6(5): 1258-1270 (2022) - [c16]Lan Zhang, Dapeng Wu, Xiaoyong Yuan:
FedZKT: Zero-Shot Knowledge Transfer towards Resource-Constrained Federated Learning with Heterogeneous On-Device Models. ICDCS 2022: 928-938 - [c15]Wensheng Xia, Ying Li, Lan Zhang, Zhonghai Wu, Xiaoyong Yuan:
Cascade Vertical Federated Learning. ICME 2022: 1-6 - [c14]Saket S. Chaturvedi, Lan Zhang, Xiaoyong Yuan:
Pay "Attention" to Adverse Weather: Weather-aware Attention-based Object Detection. ICPR 2022: 4573-4579 - [c13]Gaurav Bagwe, Jian Li, Xiaoheng Deng, Xiaoyong Yuan, Lan Zhang:
Poster: Reliable On-Ramp Merging via Multimodal Reinforcement Learning. SEC 2022: 313-315 - [c12]Xiaoyong Yuan, Lan Zhang:
Membership Inference Attacks and Defenses in Neural Network Pruning. USENIX Security Symposium 2022: 4561-4578 - [i10]Xiaoyong Yuan, Lan Zhang:
Membership Inference Attacks and Defenses in Neural Network Pruning. CoRR abs/2202.03335 (2022) - [i9]Saket S. Chaturvedi, Lan Zhang, Xiaoyong Yuan:
Pay "Attention" to Adverse Weather: Weather-aware Attention-based Object Detection. CoRR abs/2204.10803 (2022) - [i8]Madhureeta Das, Xianhao Chen, Xiaoyong Yuan, Lan Zhang:
Federated Semi-Supervised Domain Adaptation via Knowledge Transfer. CoRR abs/2207.10727 (2022) - [i7]Gaurav Bagwe, Jian Li, Xiaoyong Yuan, Lan Zhang:
Towards Robust On-Ramp Merging via Augmented Multimodal Reinforcement Learning. CoRR abs/2208.07307 (2022) - [i6]Hong Huang, Lan Zhang, Chaoyue Sun, Ruogu Fang, Xiaoyong Yuan, Dapeng Wu:
FedTiny: Pruned Federated Learning Towards Specialized Tiny Models. CoRR abs/2212.01977 (2022) - 2021
- [c11]Lan Zhang, Xianhao Chen, Yawei Pang, Xiaoyong Yuan:
Sensing to Learn: Deep Learning Based Wireless Sensing via Connected Digital and Physical Experiments. AHFE (6) 2021: 255-262 - [i4]Wensheng Xia, Ying Li, Lan Zhang, Zhonghai Wu, Xiaoyong Yuan:
A Vertical Federated Learning Framework for Horizontally Partitioned Labels. CoRR abs/2106.10056 (2021) - [i3]Lan Zhang, Xiaoyong Yuan:
FedZKT: Zero-Shot Knowledge Transfer towards Heterogeneous On-Device Models in Federated Learning. CoRR abs/2109.03775 (2021) - 2020
- [i2]Xiaoyong Yuan, Lei Ding, Lan Zhang, Xiaolin Li, Dapeng Wu:
ES Attack: Model Stealing against Deep Neural Networks without Data Hurdles. CoRR abs/2009.09560 (2020)
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