Jieren Deng - RankMe

30 papers A* 1A 3B 3Misc 1Journal 16Unranked 6

Year	Rank	Type	Title / Venue / Authors
2025	B	`conf`	Certifying Adapters: Enabling and Enhancing the Certification of Classifier Adversarial Robustness. IJCNN Jieren Deng, Hanbin Hong, Aaron Palmer, Xin Zhou, Jinbo Bi, Kaleel Mahmood, Yuan Hong, Derek Aguiar
2025	—	`conf`	Grasp-CLIP: Pick Up what You Want. ICIT Zhao Gao, Jieren Deng, Zihao Wan, Haojian Zhang, Yunkuan Wang, Jianhua Hu
2025	J	`jnl`	The User-Centric Geo-Experience: An LLM-Powered Framework for Enhanced Planning, Navigation, and Dynamic Adaptation. CoRR Jieren Deng, Aleksandar Cvetkovic, Pak-Kiu Chung, Dragomir Yankov, Chiqun Zhang
2024	J	`jnl`	Certifying Adapters: Enabling and Enhancing the Certification of Classifier Adversarial Robustness. CoRR Jieren Deng, Hanbin Hong, Aaron Palmer, Xin Zhou, Jinbo Bi, Kaleel Mahmood, Yuan Hong, Derek Aguiar
2024	J	`jnl`	Distilling Adversarial Robustness Using Heterogeneous Teachers. CoRR Jieren Deng, Aaron Palmer, Rigel Mahmood, Ethan Rathbun, Jinbo Bi, Kaleel Mahmood, Derek Aguiar
2024	Misc	`conf`	GBSD: Generative Bokeh with Stage Diffusion. ICASSP Jieren Deng, Xin Zhou, Hao Tian, Zhihong Pan, Derek Aguiar
2024	—	`conf`	Memory-based Error Label Suppression for Embodied Self-Improving Object Detection. CASE Jieren Deng, Haojian Zhang, Jianhua Hu, Yunkuan Wang
2024	A*	`conf`	Zero-shot Generalizable Incremental Learning for Vision-Language Object Detection. NeurIPS Jieren Deng, Haojian Zhang, Kun Ding, Jianhua Hu, Xingxuan Zhang, Yunkuan Wang
2024	J	`jnl`	Zero-shot Generalizable Incremental Learning for Vision-Language Object Detection. CoRR Jieren Deng, Haojian Zhang, Kun Ding, Jianhua Hu, Xingxuan Zhang, Yunkuan Wang
2023	J	`jnl`	Class Incremental Robotic Pick-and-Place via Incremental Few-Shot Object Detection. IEEE Robotics Autom. Lett. Jieren Deng, Haojian Zhang, Jianhua Hu, Xingxuan Zhang, Yunkuan Wang
2023	J	`jnl`	GBSD: Generative Bokeh with Stage Diffusion. CoRR Jieren Deng, Xin Zhou, Hao Tian, Zhihong Pan, Derek Aguiar
2023	J	`jnl`	Motion Forecasting Network (MoFCNet): IMU-Based Human Motion Forecasting for Hip Assistive Exoskeleton. IEEE Robotics Autom. Lett. Xingxuan Zhang, Haojian Zhang, Jianhua Hu, Jieren Deng, Yunkuan Wang
2023	J	`jnl`	Retrieving Conditions from Reference Images for Diffusion Models. CoRR Haoran Tang, Xin Zhou, Jieren Deng, Zhihong Pan, Hao Tian, Pratik Chaudhari
2023	B	`conf`	Smooth and Stepwise Self-Distillation for Object Detection. ICIP Jieren Deng, Xin Zhou, Hao Tian, Zhihong Pan, Derek Aguiar
2023	J	`jnl`	Smooth and Stepwise Self-Distillation for Object Detection. CoRR Jieren Deng, Xin Zhou, Hao Tian, Zhihong Pan, Derek Aguiar
2023	—	`conf`	Stable Robotic Grasping with Center-Guided Grasp Pose Estimation. CRC Jieren Deng, Jianhua Hu, Haojian Zhang, Yunkuan Wang
2022	J	`jnl`	A Secure and Efficient Federated Learning Framework for NLP. CoRR Jieren Deng, Chenghong Wang, Xianrui Meng, Yijue Wang, Ji Li, Sheng Lin, Shuo Han, Fei Miao, Sanguthevar Rajasekaran, Caiwen Ding
2022	A	`conf`	Enabling Fast Deep Learning on Tiny Energy-Harvesting IoT Devices. DATE Sahidul Islam, Jieren Deng, Shanglin Zhou, Chen Pan, Caiwen Ding, Mimi Xie
2022	J	`jnl`	Incremental Prototype Prompt-tuning with Pre-trained Representation for Class Incremental Learning. CoRR Jieren Deng, Jianhua Hu, Haojian Zhang, Yunkuan Wang
2022	B	`conf`	Variance of the Gradient Also Matters: Privacy Leakage from Gradients. IJCNN Yijue Wang, Jieren Deng, Dan Guo, Chenghong Wang, Xianrui Meng, Hang Liu, Chao Shang, Binghui Wang, Qin Cao, Caiwen Ding, Sanguthevar Rajasekaran
2021	—	`conf`	A Secure and Efficient Federated Learning Framework for NLP. EMNLP (1) Chenghong Wang, Jieren Deng, Xianrui Meng, Yijue Wang, Ji Li, Sheng Lin, Shuo Han, Fei Miao, Sanguthevar Rajasekaran, Caiwen Ding
2021	J	`jnl`	A novel privacy-preserving federated genome-wide association study framework and its application in identifying potential risk variants in ankylosing spondylitis. Briefings Bioinform. 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
2021	J	`jnl`	Enabling Super-Fast Deep Learning on Tiny Energy-Harvesting IoT Devices. CoRR Sahidul Islam, Jieren Deng, Shanglin Zhou, Chen Pan, Caiwen Ding, Mimi Xie
2021	A	`conf`	FL-DISCO: Federated Generative Adversarial Network for Graph-based Molecule Drug Discovery: Special Session Paper. ICCAD Daniel Manu, Yi Sheng, Junhuan Yang, Jieren Deng, Tong Geng, Ang Li, Caiwen Ding, Weiwen Jiang, Lei Yang
2021	—	`conf`	TAG: Gradient Attack on Transformer-based Language Models. EMNLP (Findings) Jieren Deng, Yijue Wang, Ji Li, Chenghong Wang, Chao Shang, Hang Liu, Sanguthevar Rajasekaran, Caiwen Ding
2021	J	`jnl`	TAG: Transformer Attack from Gradient. CoRR Jieren Deng, Yijue Wang, Ji Li, Chao Shang, Hang Liu, Sanguthevar Rajasekaran, Caiwen Ding
2021	A	`conf`	TinyADC: Peripheral Circuit-aware Weight Pruning Framework for Mixed-signal DNN Accelerators. DATE 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
2020	—	`conf`	A DNN Compression Framework for SOT-MRAM-based Processing-In-Memory Engine. SoCC Geng Yuan, Xiaolong Ma, Sheng Lin, Zhengang Li, Jieren Deng, Caiwen Ding
2020	J	`jnl`	ESMFL: Efficient and Secure Models for Federated Learning. CoRR Sheng Lin, Chenghong Wang, Hongjia Li, Jieren Deng, Yanzhi Wang, Caiwen Ding
2020	J	`jnl`	SAPAG: A Self-Adaptive Privacy Attack From Gradients. CoRR Yijue Wang, Jieren Deng, Dan Guo, Chenghong Wang, Xianrui Meng, Hang Liu, Caiwen Ding, Sanguthevar Rajasekaran