A DNN Compression Framework for SOT-MRAM-based Processing-In-Memory Engine. - Geng Yuan; Xiaolong Ma; Sheng Lin 001; Zhengang Li; Jieren Deng; Caiwen Ding (SoCC, 2020)

ESMFL: Efficient and Secure Models for Federated Learning. - Sheng Lin 001; Chenghong Wang; Hongjia Li; Jieren Deng; Yanzhi Wang; Caiwen Ding (CoRR, 2020)

SAPAG: A Self-Adaptive Privacy Attack From Gradients. - Yijue Wang; Jieren Deng; Dan Guo; Chenghong Wang; Xianrui Meng; Hang Liu 001; Caiwen Ding; Sanguthevar Rajasekaran (CoRR, 2020)

TinyADC: Peripheral Circuit-aware Weight Pruning Framework for Mixed-signal DNN Accelerators. - Geng Yuan; Payman Behnam; Yuxuan Cai 001; Ali Shafiee; Jingyan Fu; Zhiheng Liao; Zhengang Li; Xiaolong Ma; Jieren Deng; Jinhui Wang; Mahdi Nazm Bojnordi; Yanzhi Wang; et al. (DATE, 2021)

TAG: Gradient Attack on Transformer-based Language Models. - Jieren Deng; Yijue Wang; Ji Li 006; Chenghong Wang; Chao Shang; Hang Liu 001; Sanguthevar Rajasekaran; Caiwen Ding (EMNLP (Findings), 2021)

A Secure and Efficient Federated Learning Framework for NLP. - Chenghong Wang; Jieren Deng; Xianrui Meng; Yijue Wang; Ji Li 006; Sheng Lin 001; Shuo Han 002; Fei Miao; Sanguthevar Rajasekaran; Caiwen Ding (EMNLP (1), 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 006; Caiwen Ding; Weiwen Jiang; Lei Yang 018 (ICCAD, 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 016; Jieren Deng; Xiang Chen; Shengqian Xu; Guanmin Gao; Mengmeng Li; Zhen Wang; Yuhui Xiao; Kang Xie; et al. (Briefings Bioinform., 2021)

TAG: Transformer Attack from Gradient. - Jieren Deng; Yijue Wang; Ji Li 006; Chao Shang; Hang Liu 001; Sanguthevar Rajasekaran; Caiwen Ding (CoRR, 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)

Enabling Fast Deep Learning on Tiny Energy-Harvesting IoT Devices. - Sahidul Islam; Jieren Deng; Shanglin Zhou; Chen Pan; Caiwen Ding; Mimi Xie (DATE, 2022)

Variance of the Gradient Also Matters: Privacy Leakage from Gradients. - Yijue Wang; Jieren Deng; Dan Guo; Chenghong Wang; Xianrui Meng; Hang Liu 001; Chao Shang; Binghui Wang; Qin Cao; Caiwen Ding; Sanguthevar Rajasekaran (IJCNN, 2022)

Incremental Prototype Prompt-tuning with Pre-trained Representation for Class Incremental Learning. - Jieren Deng; Jianhua Hu; Haojian Zhang; Yunkuan Wang (CoRR, 2022)

Stable Robotic Grasping with Center-Guided Grasp Pose Estimation. - Jieren Deng; Jianhua Hu; Haojian Zhang; Yunkuan Wang (CRC, 2023)

Smooth and Stepwise Self-Distillation for Object Detection. - Jieren Deng; Xin Zhou 017; Hao Tian 005; Zhihong Pan 001; Derek Aguiar (ICIP, 2023)

Retrieving Conditions from Reference Images for Diffusion Models. - Haoran Tang; Xin Zhou 017; Jieren Deng; Zhihong Pan 001; Hao Tian 005; Pratik Chaudhari (CoRR, 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., 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., 2023)

Memory-based Error Label Suppression for Embodied Self-Improving Object Detection. - Jieren Deng; Haojian Zhang; Jianhua Hu; Yunkuan Wang (CASE, 2024)

GBSD: Generative Bokeh with Stage Diffusion. - Jieren Deng; Xin Zhou 017; Hao Tian 005; Zhihong Pan 001; Derek Aguiar (ICASSP, 2024)

Zero-shot Generalizable Incremental Learning for Vision-Language Object Detection. - Jieren Deng; Haojian Zhang; Kun Ding; Jianhua Hu; Xingxuan Zhang; Yunkuan Wang (NeurIPS, 2024)

Distilling Adversarial Robustness Using Heterogeneous Teachers. - Jieren Deng; Aaron Palmer; Rigel Mahmood; Ethan Rathbun; Jinbo Bi; Kaleel Mahmood; Derek Aguiar (CoRR, 2024)

Certifying Adapters: Enabling and Enhancing the Certification of Classifier Adversarial Robustness. - Jieren Deng; Hanbin Hong; Aaron Palmer; Xin Zhou 017; Jinbo Bi; Kaleel Mahmood; Yuan Hong 001; Derek Aguiar (CoRR, 2024)

Grasp-CLIP: Pick Up what You Want. - Zhao Gao; Jieren Deng; Zihao Wan; Haojian Zhang; Yunkuan Wang; Jianhua Hu (ICIT, 2025)

The User-Centric Geo-Experience: An LLM-Powered Framework for Enhanced Planning, Navigation, and Dynamic Adaptation. - Jieren Deng; Aleksandar Cvetkovic; Pak-Kiu Chung; Dragomir Yankov; Chiqun Zhang (CoRR, 2025)