Yang Ni

According to our database, Yang Ni authored at least 47 papers between 2022 and 2026.

Collaborative distances:

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

2026

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

IEEE Trans. Artif. Intell., April, 2026

TRINE: A Token-Aware, Runtime-Adaptive FPGA Inference Engine for Multimodal AI.

Hyunwoo Oh, Hanning Chen, Sanggeon Yun, Yang Ni, Suyeon Jang, Behnam Khaleghi, Fei Wen, Mohsen Imani

CoRR, March, 2026

MERIT: Multi-domain Efficient RAW Image Translation.

Wenjun Huang, Shenghao Fu, Yian Jin, Yang Ni, Ziteng Cui, Hanning Chen, Yirui He, Yezi Liu, Sanggeon Yun, Sungheon Jeong, Ryozo Masukawa, William Youngwoo Chung, Mohsen Imani

CoRR, March, 2026

Optimal hyperdimensional representation for learning and cognitive computation.

Prathyush Poduval, Hamza Errahmouni Barkam, Xiangjian Liu, Sanggeon Yun, Yang Ni, Zhuowen Zou, Nathaniel D. Bastian, Mohsen Imani

Frontiers Artif. Intell., 2026

2025

Cauchy-Schwarz Fairness Regularizer.

Yezi Liu, Hanning Chen, Wenjun Huang, Yang Ni, Mohsen Imani

CoRR, December, 2025

Mitigating Bias in Graph Hyperdimensional Computing.

Yezi Liu, William Youngwoo Chung, Yang Ni, Hanning Chen, Mohsen Imani

CoRR, December, 2025

LUNE: Efficient LLM Unlearning via LoRA Fine-Tuning with Negative Examples.

Yezi Liu, Hanning Chen, Wenjun Huang, Yang Ni, Mohsen Imani

CoRR, December, 2025

Recover-to-Forget: Gradient Reconstruction from LoRA for Efficient LLM Unlearning.

Yezi Liu, Hanning Chen, Wenjun Huang, Yang Ni, Mohsen Imani

CoRR, December, 2025

QUILL: An Algorithm-Architecture Co-Design for Cache-Local Deformable Attention.

Hyunwoo Oh, Hanning Chen, Sanggeon Yun, Yang Ni, Wenjun Huang, Tamoghno Das, Suyeon Jang, Mohsen Imani

CoRR, November, 2025

Enabling Group Fairness in Graph Unlearning via Bi-level Debiasing.

Yezi Liu, Prathyush Poduval, Wenjun Huang, Yang Ni, Hanning Chen, Mohsen Imani

CoRR, May, 2025

DynHD: Hyperdimensional Computing Approach for Efficient Radar Spectrum Classification.

Zhuowen Zou, Yang Ni, SungHeon Jeong, Satish Ravindran, Binbin Shi, Phil Chen, Mohsen Imani

IEEE Embed. Syst. Lett., April, 2025

PACKETCLIP: multi-modal embedding of network traffic and language for cybersecurity reasoning.

Ryozo Masukawa, Sanggeon Yun, SungHeon Evan Jeong, Wenjun Huang, Yang Ni, Ian Bryant, Nathaniel D. Bastian, Mohsen Imani

Frontiers Artif. Intell., 2025

White Admitted by Stanford, Black Got Rejections: Exploring Racial Stereotypes in Text-to-Image Generation from a College Admissions Lens.

Yezi Liu, Wenjun Huang, Yang Ni, Hanning Chen, Mohsen Imani

Proceedings of the Companion Proceedings of the ACM on Web Conference 2025, 2025

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

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2025

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

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

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2025

KGAccel: A Domain-Specific Reconfigurable Accelerator for Knowledge Graph Reasoning.

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

Proceedings of the International Conference on Neuro-symbolic Systems, 2025

LVLM_CSP: Accelerating Large Vision Language Models via Clustering, Scattering, and Pruning for Reasoning Segmentation.

Hanning Chen, Yang Ni, Wenjun Huang, Hyunwoo Oh, Yezi Liu, Tamoghno Das, Mohsen Imani

Proceedings of the 33rd ACM International Conference on Multimedia, 2025

Revisiting Reconfigurable Acceleration of Vision Transformer with Patch Pruning.

Hanning Chen, Yang Ni, Wenjun Huang, Hyunwoo Oh, Tamoghno Das, Fei Wen, Mohsen Imani

Proceedings of the IEEE/ACM International Symposium on Low Power Electronics and Design, 2025

A Multimodal AI Acceleration with Dynamic Pruning and Run-Time Configuration.

Hyun Woo Oh, Hanning Chen, Sanggeon Yun, Yang Ni, Behnam Khaleghi, Fei Wen, Mohsen Imani

Proceedings of the 33rd IEEE Annual International Symposium on Field-Programmable Custom Computing Machines, 2025

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

Self-trainable and adaptive sensor intelligence for selective data generation.

Arghavan Rezvani, Wenjun Huang, Hanning Chen, Yang Ni, Mohsen Imani

Frontiers Artif. Intell., 2024

Hyperdimensional computing with holographic and adaptive encoder.

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

Frontiers Artif. Intell., 2024

Tell Me What to Track: Infusing Robust Language Guidance for Enhanced Referring Multi-Object Tracking.

Wenjun Huang, Yang Ni, Hanning Chen, Yirui He, Ian Bryant, Yezi Liu, 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 Jeong, 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

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

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

Hanning Chen, Wenjun Huang, Yang Ni, Sanggeon Yun, Yezi Liu, Fei Wen, Alvaro Velasquez, Hugo Latapie, Mohsen Imani

Proceedings of the Computer Vision - ECCV 2024 Workshops, 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