Jieren Deng

According to our database, Jieren Deng authored at least 20 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Zero-shot Generalizable Incremental Learning for Vision-Language Object Detection.

Jieren Deng, Haojian Zhang, Kun Ding, Jianhua Hu, Xingxuan Zhang, Yunkuan Wang

CoRR, 2024

Distilling Adversarial Robustness Using Heterogeneous Teachers.

Jieren Deng, Aaron Palmer, Rigel Mahmood, Ethan Rathbun, Jinbo Bi, Kaleel Mahmood, Derek Aguiar

CoRR, 2024

2023

Motion Forecasting Network (MoFCNet): IMU-Based Human Motion Forecasting for Hip Assistive Exoskeleton.

Xingxuan Zhang, Haojian Zhang, Jianhua Hu, Jieren Deng, Yunkuan Wang

IEEE Robotics Autom. Lett., September, 2023

Class Incremental Robotic Pick-and-Place via Incremental Few-Shot Object Detection.

Jieren Deng, Haojian Zhang, Jianhua Hu, Xingxuan Zhang, Yunkuan Wang

IEEE Robotics Autom. Lett., September, 2023

Retrieving Conditions from Reference Images for Diffusion Models.

Haoran Tang, Xin Zhou, Jieren Deng, Zhihong Pan, Hao Tian, Pratik Chaudhari

CoRR, 2023

GBSD: Generative Bokeh with Stage Diffusion.

Jieren Deng, Xin Zhou, Hao Tian, Zhihong Pan, Derek Aguiar

CoRR, 2023

Smooth and Stepwise Self-Distillation for Object Detection.

Jieren Deng, Xin Zhou, Hao Tian, Zhihong Pan, Derek Aguiar

Proceedings of the IEEE International Conference on Image Processing, 2023

2022

Incremental Prototype Prompt-tuning with Pre-trained Representation for Class Incremental Learning.

Jieren Deng, Jianhua Hu, Haojian Zhang, Yunkuan Wang

CoRR, 2022

Variance of the Gradient Also Matters: Privacy Leakage from Gradients.

Yijue Wang, Jieren Deng, Dan Guo, Chenghong Wang, Xianrui Meng, Hang Liu, Chao Shang, Binghui Wang, Qin Cao, Caiwen Ding, Sanguthevar Rajasekaran

Proceedings of the International Joint Conference on Neural Networks, 2022

Enabling Fast Deep Learning on Tiny Energy-Harvesting IoT Devices.

Sahidul Islam, Jieren Deng, Shanglin Zhou, Chen Pan, Caiwen Ding, Mimi Xie

Proceedings of the 2022 Design, Automation & Test in Europe Conference & Exhibition, 2022

2021

Enabling Super-Fast Deep Learning on Tiny Energy-Harvesting IoT Devices.

Sahidul Islam, Jieren Deng, Shanglin Zhou, Chen Pan, Caiwen Ding, Mimi Xie

CoRR, 2021

TAG: Transformer Attack from Gradient.

Jieren Deng, Yijue Wang, Ji Li, Chao Shang, Hang Liu, Sanguthevar Rajasekaran, Caiwen Ding

CoRR, 2021

A novel privacy-preserving federated genome-wide association study framework and its application in identifying potential risk variants in ankylosing spondylitis.

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

Briefings Bioinform., 2021

FL-DISCO: Federated Generative Adversarial Network for Graph-based Molecule Drug Discovery: Special Session Paper.

Daniel Manu, Yi Sheng, Junhuan Yang, Jieren Deng, Tong Geng, Ang Li, Caiwen Ding, Weiwen Jiang, Lei Yang

Proceedings of the IEEE/ACM International Conference On Computer Aided Design, 2021

A Secure and Efficient Federated Learning Framework for NLP.

Chenghong Wang, Jieren Deng, Xianrui Meng, Yijue Wang, Ji Li, Sheng Lin, Shuo Han, Fei Miao, Sanguthevar Rajasekaran, Caiwen Ding

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

TAG: Gradient Attack on Transformer-based Language Models.

Jieren Deng, Yijue Wang, Ji Li, Chenghong Wang, Chao Shang, Hang Liu, Sanguthevar Rajasekaran, Caiwen Ding

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

TinyADC: Peripheral Circuit-aware Weight Pruning Framework for Mixed-signal DNN Accelerators.

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

Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2021

2020

SAPAG: A Self-Adaptive Privacy Attack From Gradients.

Yijue Wang, Jieren Deng, Dan Guo, Chenghong Wang, Xianrui Meng, Hang Liu, Caiwen Ding, Sanguthevar Rajasekaran

CoRR, 2020

ESMFL: Efficient and Secure Models for Federated Learning.

Sheng Lin, Chenghong Wang, Hongjia Li, Jieren Deng, Yanzhi Wang, Caiwen Ding

CoRR, 2020

A DNN Compression Framework for SOT-MRAM-based Processing-In-Memory Engine.

Geng Yuan, Xiaolong Ma, Sheng Lin, Zhengang Li, Jieren Deng, Caiwen Ding

Proceedings of the 33rd IEEE International System-on-Chip Conference, 2020