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ORCIDJieren Deng
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2020 – today
- 2024
[c10]Jieren Deng, Xin Zhou, Hao Tian, Zhihong Pan, Derek Aguiar
:
GBSD: Generative Bokeh with Stage Diffusion. ICASSP 2024: 7070-7074- [i12]Jieren Deng, Aaron Palmer, Rigel Mahmood, Ethan Rathbun, Jinbo Bi, Kaleel Mahmood, Derek Aguiar:
Distilling Adversarial Robustness Using Heterogeneous Teachers. CoRR abs/2402.15586 (2024) - [i11]Jieren Deng, Haojian Zhang, Kun Ding, Jianhua Hu, Xingxuan Zhang, Yunkuan Wang:
Zero-shot Generalizable Incremental Learning for Vision-Language Object Detection. CoRR abs/2403.01680 (2024) - [i10]Jieren Deng, Hanbin Hong, Aaron Palmer, Xin Zhou, Jinbo Bi, Kaleel Mahmood, Yuan Hong, Derek Aguiar:
Certifying Adapters: Enabling and Enhancing the Certification of Classifier Adversarial Robustness. CoRR abs/2405.16036 (2024) - 2023
- [j3]Xingxuan Zhang, Haojian Zhang, Jianhua Hu, Jieren Deng, Yunkuan Wang:
Motion Forecasting Network (MoFCNet): IMU-Based Human Motion Forecasting for Hip Assistive Exoskeleton. IEEE Robotics Autom. Lett. 8(9): 5783-5790 (2023) - [j2]Jieren Deng, Haojian Zhang, Jianhua Hu, Xingxuan Zhang, Yunkuan Wang:
Class Incremental Robotic Pick-and-Place via Incremental Few-Shot Object Detection. IEEE Robotics Autom. Lett. 8(9): 5974-5981 (2023) - [c9]Jieren Deng, Jianhua Hu, Haojian Zhang, Yunkuan Wang:
Stable Robotic Grasping with Center-Guided Grasp Pose Estimation. CRC 2023: 63-67 - [c8]Jieren Deng, Xin Zhou, Hao Tian, Zhihong Pan, Derek Aguiar:
Smooth and Stepwise Self-Distillation for Object Detection. ICIP 2023: 2740-2744 - [i9]Jieren Deng, Xin Zhou, Hao Tian, Zhihong Pan, Derek Aguiar:
Smooth and Stepwise Self-Distillation for Object Detection. CoRR abs/2303.05015 (2023) - [i8]Jieren Deng, Xin Zhou, Hao Tian, Zhihong Pan, Derek Aguiar:
GBSD: Generative Bokeh with Stage Diffusion. CoRR abs/2306.08251 (2023) - [i7]Haoran Tang, Xin Zhou, Jieren Deng, Zhihong Pan, Hao Tian, Pratik Chaudhari:
Retrieving Conditions from Reference Images for Diffusion Models. CoRR abs/2312.02521 (2023) - 2022
- [c7]Sahidul Islam, Jieren Deng, Shanglin Zhou, Chen Pan, Caiwen Ding, Mimi Xie:
Enabling Fast Deep Learning on Tiny Energy-Harvesting IoT Devices. DATE 2022: 921-926 - [c6]Yijue Wang, Jieren Deng, Dan Guo, Chenghong Wang, Xianrui Meng, Hang Liu, Chao Shang, Binghui Wang, Qin Cao, Caiwen Ding, Sanguthevar Rajasekaran:
Variance of the Gradient Also Matters: Privacy Leakage from Gradients. IJCNN 2022: 1-8 - [i6]Jieren Deng, Chenghong Wang, Xianrui Meng, Yijue Wang, Ji Li, Sheng Lin, Shuo Han, Fei Miao, Sanguthevar Rajasekaran, Caiwen Ding:
A Secure and Efficient Federated Learning Framework for NLP. CoRR abs/2201.11934 (2022) - [i5]Jieren Deng, Jianhua Hu, Haojian Zhang, Yunkuan Wang:
Incremental Prototype Prompt-tuning with Pre-trained Representation for Class Incremental Learning. CoRR abs/2204.03410 (2022) - 2021
- [j1]Xin Wu, Hao Zheng, Zuochao Dou, Feng Chen, Jieren Deng, Xiang Chen, Shengqian Xu, Guanmin Gao, Mengmeng Li, Zhen Wang, Yuhui Xiao, Kang Xie, Shuang Wang, Huji Xu:
A novel privacy-preserving federated genome-wide association study framework and its application in identifying potential risk variants in ankylosing spondylitis. Briefings Bioinform. 22(3) (2021) - [c5]Geng Yuan, Payman Behnam, Yuxuan Cai, Ali Shafiee, Jingyan Fu, Zhiheng Liao, Zhengang Li, Xiaolong Ma, Jieren Deng, Jinhui Wang, Mahdi Nazm Bojnordi, Yanzhi Wang, Caiwen Ding:
TinyADC: Peripheral Circuit-aware Weight Pruning Framework for Mixed-signal DNN Accelerators. DATE 2021: 926-931 - [c4]Jieren Deng, Yijue Wang, Ji Li, Chenghong Wang, Chao Shang, Hang Liu, Sanguthevar Rajasekaran, Caiwen Ding:
TAG: Gradient Attack on Transformer-based Language Models. EMNLP (Findings) 2021: 3600-3610 - [c3]Chenghong Wang, Jieren Deng, Xianrui Meng, Yijue Wang, Ji Li, Sheng Lin, Shuo Han, Fei Miao, Sanguthevar Rajasekaran, Caiwen Ding:
A Secure and Efficient Federated Learning Framework for NLP. EMNLP (1) 2021: 7676-7682 - [c2]Daniel Manu, Yi Sheng, Junhuan Yang, Jieren Deng, Tong Geng, Ang Li, Caiwen Ding, Weiwen Jiang, Lei Yang:
FL-DISCO: Federated Generative Adversarial Network for Graph-based Molecule Drug Discovery: Special Session Paper. ICCAD 2021: 1-7 - [i4]Jieren Deng, Yijue Wang, Ji Li, Chao Shang, Hang Liu, Sanguthevar Rajasekaran, Caiwen Ding:
TAG: Transformer Attack from Gradient. CoRR abs/2103.06819 (2021) - [i3]Sahidul Islam, Jieren Deng, Shanglin Zhou, Chen Pan, Caiwen Ding, Mimi Xie:
Enabling Super-Fast Deep Learning on Tiny Energy-Harvesting IoT Devices. CoRR abs/2111.14051 (2021) - 2020
- [c1]Geng Yuan, Xiaolong Ma, Sheng Lin, Zhengang Li, Jieren Deng, Caiwen Ding:
A DNN Compression Framework for SOT-MRAM-based Processing-In-Memory Engine. SoCC 2020: 37-42 - [i2]Sheng Lin, Chenghong Wang, Hongjia Li, Jieren Deng, Yanzhi Wang, Caiwen Ding:
ESMFL: Efficient and Secure Models for Federated Learning. CoRR abs/2009.01867 (2020) - [i1]Yijue Wang, Jieren Deng, Dan Guo, Chenghong Wang, Xianrui Meng, Hang Liu, Caiwen Ding, Sanguthevar Rajasekaran:
SAPAG: A Self-Adaptive Privacy Attack From Gradients. CoRR abs/2009.06228 (2020)
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last updated on 2024-10-07 21:24 CEST by the dblp team
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