Yang Ni

According to our database, Yang Ni authored at least 28 papers between 2022 and 2024.

Collaborative distances:

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

2024

Hyperdimensional Brain-Inspired Learning for Phoneme Recognition With Large-Scale Inferior Colliculus Neural Activities.

Yang Ni, Ye Yang, Hanning Chen, Xianhui Wang, Nicholas Lesica, Fan-Gang Zeng, Mohsen Imani

IEEE Trans. Biomed. Eng., November, 2024

NetHD: Neurally Inspired Integration of Communication and Learning in Hyperspace.

Prathyush Poduval, Yang Ni, Zhuowen Zou, Kai Ni, Mohsen Imani

Adv. Intell. Syst., July, 2024

Hyperdimensional computing with holographic and adaptive encoder.

Alejandro Hernández-Cano, Yang Ni, Zhuowen Zou, Ali Zakeri, Mohsen Imani

Frontiers Artif. Intell., 2024

VLTP: Vision-Language Guided Token Pruning for Task-Oriented Segmentation.

Hanning Chen, Yang Ni, Wenjun Huang, Yezi Liu, Sungheon Jeong, Fei Wen, Nathaniel Bastian, Hugo Latapie, Mohsen Imani

CoRR, 2024

Recoverable Anonymization for Pose Estimation: A Privacy-Enhancing Approach.

Wenjun Huang, Yang Ni, Arghavan Rezvani, Sungheon Jeong, Hanning Chen, Yezi Liu, Fei Wen, Mohsen Imani

CoRR, 2024

EcoSense: Energy-Efficient Intelligent Sensing for In-Shore Ship Detection through Edge-Cloud Collaboration.

Wenjun Huang, Hanning Chen, Yang Ni, Arghavan Rezvani, Sanggeon Yun, Sungheon Jeon, Eric Pedley, Mohsen Imani

CoRR, 2024

TaskCLIP: Extend Large Vision-Language Model for Task Oriented Object Detection.

Hanning Chen, Wenjun Huang, Yang Ni, Sanggeon Yun, Fei Wen, Hugo Latapie, Mohsen Imani

CoRR, 2024

HDReason: Algorithm-Hardware Codesign for Hyperdimensional Knowledge Graph Reasoning.

Hanning Chen, Yang Ni, Ali Zakeri, Zhuowen Zou, Sanggeon Yun, Fei Wen, Behnam Khaleghi, Narayan Srinivasa, Hugo Latapie, Mohsen Imani

CoRR, 2024

HEAL: Brain-inspired Hyperdimensional Efficient Active Learning.

Yang Ni, Zhuowen Zou, Wenjun Huang, Hanning Chen, William Youngwoo Chung, Samuel Cho, Ranganath Krishnan, Pietro Mercati, Mohsen Imani

CoRR, 2024

A Plug-in Tiny AI Module for Intelligent and Selective Sensor Data Transmission.

Wenjun Huang, Arghavan Rezvani, Hanning Chen, Yang Ni, Sanggeon Yun, Sungheon Jeong, Mohsen Imani

CoRR, 2024

Dynamic MAC Protocol for Wireless Spectrum Sharing via Hyperdimensional Self-Learning.

Yang Ni, Danny Abraham, Mariam Issa, Alejandro Hernández-Cano, Mahdi Imani, Pietro Mercati, Mohsen Imani

IEEE Access, 2024

Brain-Inspired Hyperdimensional Computing in the Wild: Lightweight Symbolic Learning for Sensorimotor Controls of Wheeled Robots.

Hyukjun Kwon, Kangwon Kim, Junyoung Lee, Hyunsei Lee, Jiseung Kim, Jinhyung Kim, Taehyung Kim, Yongnyeon Kim, Yang Ni, Mohsen Imani, Ilhong Suh, Yeseong Kim

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

Efficient Exploration in Edge-Friendly Hyperdimensional Reinforcement Learning.

Yang Ni, William Youngwoo Chung, Samuel Cho, Zhuowen Zou, Mohsen Imani

Proceedings of the Great Lakes Symposium on VLSI 2024, 2024

High-Performance Reconfigurable Accelerator for Knowledge Graph Reasoning.

Hanning Chen, Ali Zakeri, Yang Ni, Fei Wen, Behnam Khaleghi, Hugo Latapie, Mohsen Imani

Proceedings of the 32nd IEEE Annual International Symposium on Field-Programmable Custom Computing Machines, 2024

Scalable and Interpretable Brain-Inspired Hyper-Dimensional Computing Intelligence with Hardware-Software Co-Design.

Hanning Chen, Yang Ni, Wenjun Huang, Mohsen Imani

Proceedings of the IEEE Custom Integrated Circuits Conference, 2024

2023

Algorithm-Hardware Co-Design for Efficient Brain-Inspired Hyperdimensional Learning on Edge (Extended Abstract).

Yang Ni, Yeseong Kim, Tajana Rosing, Mohsen Imani

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Brain-Inspired Trustworthy Hyperdimensional Computing with Efficient Uncertainty Quantification.

Yang Ni, Hanning Chen, Prathyush Poduval, Zhuowen Zou, Pietro Mercati, Mohsen Imani

Proceedings of the IEEE/ACM International Conference on Computer Aided Design, 2023

Efficient Off-Policy Reinforcement Learning via Brain-Inspired Computing.

Yang Ni, Danny Abraham, Mariam Issa, Yeseong Kim, Pietro Mercati, Mohsen Imani

Proceedings of the Great Lakes Symposium on VLSI 2023, 2023

2022

Efficient Personalized Learning for Wearable Health Applications using HyperDimensional Computing.

Sina Shahhosseini, Yang Ni, Hamidreza Alikhani, Emad Kasaeyan Naeini, Mohsen Imani, Nikil D. Dutt, Amir M. Rahmani

CoRR, 2022

QHD: A brain-inspired hyperdimensional reinforcement learning algorithm.

Yang Ni, Danny Abraham, Mariam Issa, Yeseong Kim, Pietro Mercati, Mohsen Imani

CoRR, 2022

Hyperdimensional Hybrid Learning on End-Edge-Cloud Networks.

Mariam Issa, Sina Shahhosseini, Yang Ni, Tianyi Hu, Danny Abraham, Amir M. Rahmani, Nikil D. Dutt, Mohsen Imani

Proceedings of the IEEE 40th International Conference on Computer Design, 2022

Neurally-Inspired Hyperdimensional Classification for Efficient and Robust Biosignal Processing.

Yang Ni, Nicholas A. Lesica, Fan-Gang Zeng, Mohsen Imani

Proceedings of the 41st IEEE/ACM International Conference on Computer-Aided Design, 2022

DARL: Distributed Reconfigurable Accelerator for Hyperdimensional Reinforcement Learning.

Hanning Chen, Mariam Issa, Yang Ni, Mohsen Imani

Proceedings of the 41st IEEE/ACM International Conference on Computer-Aided Design, 2022

Flexible and Personalized Learning for Wearable Health Applications using HyperDimensional Computing.

Sina Shahhosseini, Yang Ni, Emad Kasaeyan Naeini, Mohsen Imani, Amir M. Rahmani, Nikil D. Dutt

Proceedings of the GLSVLSI '22: Great Lakes Symposium on VLSI 2022, Irvine CA USA, June 6, 2022

Online Performance and Power Prediction for Edge TPU via Comprehensive Characterization.

Yang Ni, Yeseong Kim, Tajana Rosing, Mohsen Imani

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

Algorithm-Hardware Co-Design for Efficient Brain-Inspired Hyperdimensional Learning on Edge.

Yang Ni, Yeseong Kim, Tajana Rosing, Mohsen Imani

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

Adaptive neural recovery for highly robust brain-like representation.

Prathyush Poduval, Yang Ni, Yeseong Kim, Kai Ni, Raghavan Kumar, Rosario Cammarota, Mohsen Imani

Proceedings of the DAC '22: 59th ACM/IEEE Design Automation Conference, San Francisco, California, USA, July 10, 2022

HDPG: hyperdimensional policy-based reinforcement learning for continuous control.

Yang Ni, Mariam Issa, Danny Abraham, Mahdi Imani, Xunzhao Yin, Mohsen Imani

Proceedings of the DAC '22: 59th ACM/IEEE Design Automation Conference, San Francisco, California, USA, July 10, 2022