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Anda Cheng
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2020 – today
- 2024
- [c5]Wei Huang, Yinggui Wang, Anda Cheng, Aihui Zhou, Chaofan Yu, Lei Wang:
A Fast, Performant, Secure Distributed Training Framework For LLM. ICASSP 2024: 4800-4804 - [i8]Wei Huang, Yinggui Wang, Anda Cheng, Aihui Zhou, Chaofan Yu, Lei Wang:
A Fast, Performant, Secure Distributed Training Framework For Large Language Model. CoRR abs/2401.09796 (2024) - [i7]Zhipeng Wan, Anda Cheng, Yinggui Wang, Lei Wang:
Information Leakage from Embedding in Large Language Models. CoRR abs/2405.11916 (2024) - 2023
- [c4]Anda Cheng, Jian Cheng:
APGP: Accuracy-Preserving Generative Perturbation for Defending Against Model Cloning Attacks. ICASSP 2023: 1-5 - [i6]Anda Cheng, Zhen Wang, Yaliang Li, Jian Cheng:
HPN: Personalized Federated Hyperparameter Optimization. CoRR abs/2304.05195 (2023) - 2022
- [c3]Anda Cheng, Jiaxing Wang, Xi Sheryl Zhang, Qiang Chen, Peisong Wang, Jian Cheng:
DPNAS: Neural Architecture Search for Deep Learning with Differential Privacy. AAAI 2022: 6358-6366 - [c2]Anda Cheng, Peisong Wang, Xi Sheryl Zhang, Jian Cheng:
Differentially Private Federated Learning with Local Regularization and Sparsification. CVPR 2022: 10112-10121 - [c1]Weihan Cao, Yifan Zhang, Jianfei Gao, Anda Cheng, Ke Cheng, Jian Cheng:
PKD: General Distillation Framework for Object Detectors via Pearson Correlation Coefficient. NeurIPS 2022 - [i5]Anda Cheng, Peisong Wang, Xi Sheryl Zhang, Jian Cheng:
Differentially Private Federated Learning with Local Regularization and Sparsification. CoRR abs/2203.03106 (2022) - [i4]Weihan Cao, Yifan Zhang, Jianfei Gao, Anda Cheng, Ke Cheng, Jian Cheng:
PKD: General Distillation Framework for Object Detectors via Pearson Correlation Coefficient. CoRR abs/2207.02039 (2022) - 2021
- [j3]Qiang Chen, Anda Cheng, Xiangyu He, Peisong Wang, Jian Cheng:
SpatialFlow: Bridging All Tasks for Panoptic Segmentation. IEEE Trans. Circuits Syst. Video Technol. 31(6): 2288-2300 (2021) - [j2]Peisong Wang, Xiangyu He, Qiang Chen, Anda Cheng, Qingshan Liu, Jian Cheng:
Unsupervised Network Quantization via Fixed-Point Factorization. IEEE Trans. Neural Networks Learn. Syst. 32(6): 2706-2720 (2021) - [i3]Anda Cheng, Jiaxing Wang, Xi Sheryl Zhang, Qiang Chen, Peisong Wang, Jian Cheng:
DPNAS: Neural Architecture Search for Deep Learning with Differential Privacy. CoRR abs/2110.08557 (2021) - 2020
- [j1]Qiang Chen, Peisong Wang, Anda Cheng, Wanguo Wang, Yifan Zhang, Jian Cheng:
Robust one-stage object detection with location-aware classifiers. Pattern Recognit. 105: 107334 (2020)
2010 – 2019
- 2019
- [i2]Qiang Chen, Anda Cheng, Xiangyu He, Peisong Wang, Jian Cheng:
SpatialFlow: Bridging All Tasks for Panoptic Segmentation. CoRR abs/1910.08787 (2019) - [i1]Xiangyu He, Zitao Mo, Qiang Chen, Anda Cheng, Peisong Wang, Jian Cheng:
Location-aware Upsampling for Semantic Segmentation. CoRR abs/1911.05250 (2019)
Coauthor Index
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