Jieren Deng

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 25

Top Topics

Incremental Learning

Object Detection

Diffusion Models

Special Session

Top Venues

IEEE Robotics Autom. Lett.

Publications

Jieren Deng, Haojian Zhang, Kun Ding, Jianhua Hu, Xingxuan Zhang, Yunkuan Wang
Zero-shot Generalizable Incremental Learning for Vision-Language Object Detection. CoRR (2024)
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 (2024)
Jieren Deng, Xin Zhou, Hao Tian, Zhihong Pan, Derek Aguiar
GBSD: Generative Bokeh with Stage Diffusion. ICASSP (2024)
Jieren Deng, Aaron Palmer, Rigel Mahmood, Ethan Rathbun, Jinbo Bi, Kaleel Mahmood, Derek Aguiar
Distilling Adversarial Robustness Using Heterogeneous Teachers. CoRR (2024)
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) (2023)
Haoran Tang, Xin Zhou, Jieren Deng, Zhihong Pan, Hao Tian, Pratik Chaudhari
Retrieving Conditions from Reference Images for Diffusion Models. CoRR (2023)
Jieren Deng, Jianhua Hu, Haojian Zhang, Yunkuan Wang
Stable Robotic Grasping with Center-Guided Grasp Pose Estimation. CRC (2023)
Jieren Deng, Xin Zhou, Hao Tian, Zhihong Pan, Derek Aguiar
Smooth and Stepwise Self-Distillation for Object Detection. ICIP (2023)
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) (2023)
Jieren Deng, Xin Zhou, Hao Tian, Zhihong Pan, Derek Aguiar
GBSD: Generative Bokeh with Stage Diffusion. CoRR (2023)
Jieren Deng, Xin Zhou, Hao Tian, Zhihong Pan, Derek Aguiar
Smooth and Stepwise Self-Distillation for Object Detection. CoRR (2023)
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)
Sahidul Islam, Jieren Deng, Shanglin Zhou, Chen Pan, Caiwen Ding, Mimi Xie
Enabling Fast Deep Learning on Tiny Energy-Harvesting IoT Devices. DATE (2022)
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 (2022)
Jieren Deng, Jianhua Hu, Haojian Zhang, Yunkuan Wang
Incremental Prototype Prompt-tuning with Pre-trained Representation for Class Incremental Learning. CoRR (2022)
Sahidul Islam, Jieren Deng, Shanglin Zhou, Chen Pan, Caiwen Ding, Mimi Xie
Enabling Super-Fast Deep Learning on Tiny Energy-Harvesting IoT Devices. CoRR (2021)
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)
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)
Jieren Deng, Yijue Wang, Ji Li, Chao Shang, Hang Liu, Sanguthevar Rajasekaran, Caiwen Ding
TAG: Transformer Attack from Gradient. CoRR (2021)
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)
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)
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)
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 (2020)
Sheng Lin, Chenghong Wang, Hongjia Li, Jieren Deng, Yanzhi Wang, Caiwen Ding
ESMFL: Efficient and Secure Models for Federated Learning. CoRR (2020)
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)