Intelligent Sensing Framework: Near-Sensor Machine Learning for Efficient Data Transmission
Published in IEEE Sensors Journal, 2024
Wenjun Huang, Arghavan Rezvani, Hanning Chen, Yang Ni, Sanggeon Yun, Sungheon Jeong, Guangyi Zhang, Mohsen Imani
Publications
Please find my most up-to-date publications in my Google Scholar profile.
Journal Articles
Hyperdimensional Brain-Inspired Learning for Phoneme Recognition With Large-Scale Inferior Colliculus Neural Activities
Published in IEEE Transactions on Biomedical Engineering, 2024
Yang Ni, Ye Yang, Hanning Chen, Xianhui Wang, Nicholas Lesica, Fan-gang Zeng, Mohsen Imani
NetHD: Neurally Inspired Integration of Communication and Learning in Hyperspace
Published in Advanced Intelligent Systems, 2024
Prathyush P Poduval, Yang Ni, Zhuowen Zou, Kai Ni, Mohsen Imani
Hyperdimensional Computing with Holographic and Adaptive Encoder
Published in Frontiers in Artificial Intelligence, 2024
Alejandro Hernández-Cano, Yang Ni, Zhuowen Zou, Ali Zakeri, Mohsen Imani
Conference Papers
VLTP: Vision-Language Guided Token Pruning for Task-Oriented Segmentation
Published in IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2025
Hanning Chen, Yang Ni, Wenjun Huang, Yezi Liu, SungHeon Jeong, Fei Wen, Nathaniel Bastian, Hugo Latapie, Mohsen Imani
Recoverable Anonymization for Pose Estimation: A Privacy-Enhancing Approach
Published in IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2025
Wenjun Huang, Yang Ni, Arghavan Rezvani, Sungheon Jeong, Hanning Chen, Yezi Liu, Fei Wen, Mohsen Imani
TaskCLIP: Extend Large Vision-Language Model for Task Oriented Object Detection
Published in 2024 European Conference on Computer Vision (ECCV), 2024
Hanning Chen, Wenjun Huang, Yang Ni, Sanggeon Yun, Fei Wen, Hugo Latapie, Mohsen Imani
Efficient Exploration in Edge-Friendly Hyperdimensional Reinforcement Learning
Published in Proceedings of the Great Lakes Symposium on VLSI 2024, 2024
Yang Ni, William Y Chung, Samuel Cho, Zhuowen Zou, Mohsen Imani
Brain-Inspired Hyperdimensional Computing in the Wild: Lightweight Symbolic Learning for Sensorimotor Controls of Wheeled Robots
Published in 2024 IEEE International Conference on Robotics and Automation (ICRA), 2024
Hyukjun Kwon, Kangwon Kim, Junyoung Lee, Hyunsei Lee, Jiseung Kim, Jinhyung Kim, Taehyung Kim, Yongnyeon Kim, Yang Ni, Mohsen Imani, Ilhong Suh, Yeseong Kim
Scalable and Interpretable Brain-Inspired Hyper-Dimensional Computing Intelligence with Hardware-Software Co-Design
Published in 2024 IEEE Custom Integrated Circuits Conference (CICC), 2024
Hanning Chen, Yang Ni, Wenjun Huang, Mohsen Imani
Brain-inspired Trustworthy Hyperdimensional Computing with Efficient Uncertainty Quantification
Published in 2023 IEEE/ACM International Conference on Computer Aided Design (ICCAD), 2023
Yang Ni, Hanning Chen, Prathyush Poduval, Zhuowen Zou, Pietro Mercati, Mohsen Imani
Efficient Off-Policy Reinforcement Learning via Brain-Inspired Computing
Published in Proceedings of the Great Lakes Symposium on VLSI 2023, 2023
Yang Ni, Danny Abraham, Mariam Issa, Yeseong Kim, Pietro Mercati, Mohsen Imani
DARL: Distributed Reconfigurable Accelerator for Hyperdimensional Reinforcement Learning
Published in Proceedings of the 41st IEEE/ACM International Conference on Computer-Aided Design, 2022
Hanning Chen, Mariam Issa, Yang Ni, Mohsen Imani
Neurally-inspired Hyperdimensional Classification for Efficient and Robust Biosignal Processing
Published in Proceedings of the 41st IEEE/ACM International Conference on Computer-Aided Design, 2022
Yang Ni, Nicholas Lesica, Fan-Gang Zeng, Mohsen Imani
Hyperdimensional Hybrid Learning on End-edge-cloud Networks
Published in 2022 IEEE 40th International Conference on Computer Design (ICCD), 2022
Mariam Issa, Sina Shahhosseini, Yang Ni, Tianyi Hu, Danny Abraham, Amir M Rahmani, Nikil Dutt, Mohsen Imani
Adaptive Neural Recovery for Highly Robust Brain-like Representation
Published in Proceedings of the 59th ACM/IEEE Design Automation Conference, 2022
Prathyush Poduval, Yang Ni, Yeseong Kim, Kai Ni, Raghavan Kumar, Rossario Cammarota, Mohsen Imani
HDPG: Hyperdimensional Policy-based Reinforcement Learning for Continuous Control
Published in Proceedings of the 59th ACM/IEEE Design Automation Conference, 2022
Yang Ni, Mariam Issa, Danny Abraham, Mahdi Imani, Xunzhao Yin, Mohsen Imani
Flexible and Personalized Learning for Wearable Health Applications using Hyperdimensional Computing
Published in Proceedings of the Great Lakes Symposium on VLSI 2022, 2022
Sina Shahhosseini, Yang Ni, Emad Kasaeyan Naeini, Mohsen Imani, Amir M Rahmani, Nikil Dutt
Online Performance and Power Prediction for Edge TPU via Comprehensive Characterization
Published in 2022 Design, Automation & Test in Europe Conference & Exhibition (DATE), 2022
Yang Ni, Yeseong Kim, Tajana Rosing, Mohsen Imani
Algorithm-hardware Co-design for Efficient Brain-inspired Hyperdimensional Learning on Edge
Published in 2022 Design, Automation & Test in Europe Conference & Exhibition (DATE), 2022
Yang Ni, Yeseong Kim, Tajana Rosing, Mohsen Imani