default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDYang Ni 0001
Person information
- affiliation: University of California, Irvine, CA, USA
Other persons with the same name
- Yang Ni — disambiguation page
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 2024
[j4]Yang Ni
, Danny Abraham, Mariam Issa, Alejandro Hernández-Cano, Mahdi Imani, Pietro Mercati, Mohsen Imani:
Dynamic MAC Protocol for Wireless Spectrum Sharing via Hyperdimensional Self-Learning. IEEE Access 12: 138519-138534 (2024)- [j3]Prathyush Poduval, Yang Ni, Zhuowen Zou, Kai Ni, Mohsen Imani:
NetHD: Neurally Inspired Integration of Communication and Learning in Hyperspace. Adv. Intell. Syst. 6(7) (2024) - [j2]Alejandro Hernández-Cano, Yang Ni, Zhuowen Zou, Ali Zakeri, Mohsen Imani:
Hyperdimensional computing with holographic and adaptive encoder. Frontiers Artif. Intell. 7 (2024) - [j1]Yang Ni, Ye Yang, Hanning Chen, Xianhui Wang, Nicholas Lesica, Fan-Gang Zeng, Mohsen Imani:
Hyperdimensional Brain-Inspired Learning for Phoneme Recognition With Large-Scale Inferior Colliculus Neural Activities. IEEE Trans. Biomed. Eng. 71(11): 3098-3110 (2024) - [c15]Hanning Chen, Yang Ni, Wenjun Huang, Mohsen Imani:
Scalable and Interpretable Brain-Inspired Hyper-Dimensional Computing Intelligence with Hardware-Software Co-Design. CICC 2024: 1-8 - [c14]Hanning Chen, Ali Zakeri, Yang Ni, Fei Wen, Behnam Khaleghi, Hugo Latapie, Mohsen Imani:
High-Performance Reconfigurable Accelerator for Knowledge Graph Reasoning. FCCM 2024: 219 - [c13]Yang Ni, William Youngwoo Chung, Samuel Cho, Zhuowen Zou, Mohsen Imani:
Efficient Exploration in Edge-Friendly Hyperdimensional Reinforcement Learning. ACM Great Lakes Symposium on VLSI 2024: 111-118 - [c12]Hyukjun Kwon, Kangwon Kim, Junyoung Lee, Hyunsei Lee, Jiseung Kim, Jinhyung Kim, Taehyung Kim, Yongnyeon Kim, Yang Ni, Mohsen Imani, Ilhong Suh, Yeseong Kim:
Brain-Inspired Hyperdimensional Computing in the Wild: Lightweight Symbolic Learning for Sensorimotor Controls of Wheeled Robots. ICRA 2024: 5176-5182 - [i9]Wenjun Huang, Arghavan Rezvani, Hanning Chen, Yang Ni, Sanggeon Yun, Sungheon Jeong, Mohsen Imani:
A Plug-in Tiny AI Module for Intelligent and Selective Sensor Data Transmission. CoRR abs/2402.02043 (2024) - [i8]Yang Ni, Zhuowen Zou, Wenjun Huang, Hanning Chen, William Youngwoo Chung, Samuel Cho, Ranganath Krishnan, Pietro Mercati, Mohsen Imani:
HEAL: Brain-inspired Hyperdimensional Efficient Active Learning. CoRR abs/2402.11223 (2024) - [i7]Hanning Chen, Yang Ni, Ali Zakeri, Zhuowen Zou, Sanggeon Yun, Fei Wen, Behnam Khaleghi, Narayan Srinivasa, Hugo Latapie, Mohsen Imani:
HDReason: Algorithm-Hardware Codesign for Hyperdimensional Knowledge Graph Reasoning. CoRR abs/2403.05763 (2024) - [i6]Hanning Chen, Wenjun Huang, Yang Ni, Sanggeon Yun, Fei Wen, Hugo Latapie, Mohsen Imani:
TaskCLIP: Extend Large Vision-Language Model for Task Oriented Object Detection. CoRR abs/2403.08108 (2024) - [i5]Wenjun Huang, Hanning Chen, Yang Ni, Arghavan Rezvani, Sanggeon Yun, Sungheon Jeon, Eric Pedley, Mohsen Imani:
EcoSense: Energy-Efficient Intelligent Sensing for In-Shore Ship Detection through Edge-Cloud Collaboration. CoRR abs/2403.14027 (2024) - [i4]Wenjun Huang, Yang Ni, Arghavan Rezvani, Sungheon Jeong, Hanning Chen, Yezi Liu, Fei Wen, Mohsen Imani:
Recoverable Anonymization for Pose Estimation: A Privacy-Enhancing Approach. CoRR abs/2409.02715 (2024) - [i3]Hanning Chen, Yang Ni, Wenjun Huang, Yezi Liu, Sungheon Jeong, Fei Wen, Nathaniel Bastian, Hugo Latapie, Mohsen Imani:
VLTP: Vision-Language Guided Token Pruning for Task-Oriented Segmentation. CoRR abs/2409.08464 (2024) - 2023
- [c11]Yang Ni, Danny Abraham, Mariam Issa, Yeseong Kim, Pietro Mercati, Mohsen Imani:
Efficient Off-Policy Reinforcement Learning via Brain-Inspired Computing. ACM Great Lakes Symposium on VLSI 2023: 449-453 - [c10]Yang Ni, Hanning Chen, Prathyush Poduval, Zhuowen Zou, Pietro Mercati, Mohsen Imani:
Brain-Inspired Trustworthy Hyperdimensional Computing with Efficient Uncertainty Quantification. ICCAD 2023: 1-9 - [c9]Yang Ni, Yeseong Kim, Tajana Rosing, Mohsen Imani:
Algorithm-Hardware Co-Design for Efficient Brain-Inspired Hyperdimensional Learning on Edge (Extended Abstract). IJCAI 2023: 6474-6479 - 2022
- [c8]Prathyush Poduval, Yang Ni, Yeseong Kim, Kai Ni, Raghavan Kumar, Rosario Cammarota, Mohsen Imani:
Adaptive neural recovery for highly robust brain-like representation. DAC 2022: 367-372 - [c7]Yang Ni, Mariam Issa, Danny Abraham, Mahdi Imani, Xunzhao Yin, Mohsen Imani:
HDPG: hyperdimensional policy-based reinforcement learning for continuous control. DAC 2022: 1141-1146 - [c6]Yang Ni, Yeseong Kim, Tajana Rosing, Mohsen Imani:
Algorithm-Hardware Co-Design for Efficient Brain-Inspired Hyperdimensional Learning on Edge. DATE 2022: 292-297 - [c5]Yang Ni, Yeseong Kim, Tajana Rosing, Mohsen Imani:
Online Performance and Power Prediction for Edge TPU via Comprehensive Characterization. DATE 2022: 612-615 - [c4]Sina Shahhosseini, Yang Ni, Emad Kasaeyan Naeini, Mohsen Imani, Amir M. Rahmani, Nikil D. Dutt:
Flexible and Personalized Learning for Wearable Health Applications using HyperDimensional Computing. ACM Great Lakes Symposium on VLSI 2022: 357-360 - [c3]Yang Ni, Nicholas A. Lesica, Fan-Gang Zeng, Mohsen Imani:
Neurally-Inspired Hyperdimensional Classification for Efficient and Robust Biosignal Processing. ICCAD 2022: 34:1-34:9 - [c2]Hanning Chen, Mariam Issa, Yang Ni, Mohsen Imani:
DARL: Distributed Reconfigurable Accelerator for Hyperdimensional Reinforcement Learning. ICCAD 2022: 84:1-84:9 - [c1]Mariam Issa, Sina Shahhosseini, Yang Ni, Tianyi Hu, Danny Abraham, Amir M. Rahmani, Nikil D. Dutt, Mohsen Imani:
Hyperdimensional Hybrid Learning on End-Edge-Cloud Networks. ICCD 2022: 652-655 - [i2]Yang Ni, Danny Abraham, Mariam Issa, Yeseong Kim, Pietro Mercati, Mohsen Imani:
QHD: A brain-inspired hyperdimensional reinforcement learning algorithm. CoRR abs/2205.06978 (2022) - [i1]Sina Shahhosseini, Yang Ni, Hamidreza Alikhani, Emad Kasaeyan Naeini, Mohsen Imani, Nikil D. Dutt, Amir M. Rahmani:
Efficient Personalized Learning for Wearable Health Applications using HyperDimensional Computing. CoRR abs/2208.01095 (2022)
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-12-02 21:31 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
