HDPG: hyperdimensional policy-based reinforcement learning for continuous control. - Yang Ni 001; Mariam Issa; Danny Abraham; Mahdi Imani; Xunzhao Yin; Mohsen Imani (DAC, 2022)

Adaptive neural recovery for highly robust brain-like representation. - Prathyush Poduval; Yang Ni 001; Yeseong Kim; Kai Ni 004; Raghavan Kumar; Rosario Cammarota; Mohsen Imani (DAC, 2022)

Algorithm-Hardware Co-Design for Efficient Brain-Inspired Hyperdimensional Learning on Edge. - Yang Ni 001; Yeseong Kim; Tajana Rosing; Mohsen Imani (DATE, 2022)

Online Performance and Power Prediction for Edge TPU via Comprehensive Characterization. - Yang Ni 001; Yeseong Kim; Tajana Rosing; Mohsen Imani (DATE, 2022)

Flexible and Personalized Learning for Wearable Health Applications using HyperDimensional Computing. - Sina Shahhosseini; Yang Ni 001; Emad Kasaeyan Naeini; Mohsen Imani; Amir M. Rahmani; Nikil D. Dutt (ACM Great Lakes Symposium on VLSI, 2022)

DARL: Distributed Reconfigurable Accelerator for Hyperdimensional Reinforcement Learning. - Hanning Chen; Mariam Issa; Yang Ni 001; Mohsen Imani (ICCAD, 2022)

Neurally-Inspired Hyperdimensional Classification for Efficient and Robust Biosignal Processing. - Yang Ni 001; Nicholas A. Lesica; Fan-Gang Zeng; Mohsen Imani (ICCAD, 2022)

Hyperdimensional Hybrid Learning on End-Edge-Cloud Networks. - Mariam Issa; Sina Shahhosseini; Yang Ni 001; Tianyi Hu; Danny Abraham; Amir M. Rahmani; Nikil D. Dutt; Mohsen Imani (ICCD, 2022)

QHD: A brain-inspired hyperdimensional reinforcement learning algorithm. - Yang Ni 001; Danny Abraham; Mariam Issa; Yeseong Kim; Pietro Mercati; Mohsen Imani (CoRR, 2022)

Efficient Personalized Learning for Wearable Health Applications using HyperDimensional Computing. - Sina Shahhosseini; Yang Ni 001; Hamidreza Alikhani; Emad Kasaeyan Naeini; Mohsen Imani; Nikil D. Dutt; Amir M. Rahmani (CoRR, 2022)

Efficient Off-Policy Reinforcement Learning via Brain-Inspired Computing. - Yang Ni 001; Danny Abraham; Mariam Issa; Yeseong Kim; Pietro Mercati; Mohsen Imani (ACM Great Lakes Symposium on VLSI, 2023)

Brain-Inspired Trustworthy Hyperdimensional Computing with Efficient Uncertainty Quantification. - Yang Ni 001; Hanning Chen; Prathyush Poduval; Zhuowen Zou; Pietro Mercati; Mohsen Imani (ICCAD, 2023)

Algorithm-Hardware Co-Design for Efficient Brain-Inspired Hyperdimensional Learning on Edge (Extended Abstract). - Yang Ni 001; Yeseong Kim; Tajana Rosing; Mohsen Imani (IJCAI, 2023)

Scalable and Interpretable Brain-Inspired Hyper-Dimensional Computing Intelligence with Hardware-Software Co-Design. - Hanning Chen; Yang Ni 001; Wenjun Huang 001; Mohsen Imani (CICC, 2024)

TaskCLIP: Extend Large Vision-Language Model for Task Oriented Object Detection. - Hanning Chen; Wenjun Huang 001; Yang Ni 001; Sanggeon Yun; Yezi Liu; Fei Wen; Alvaro Velasquez; Hugo Latapie; Mohsen Imani (ECCV Workshops (20), 2024)

High-Performance Reconfigurable Accelerator for Knowledge Graph Reasoning. - Hanning Chen; Ali Zakeri; Yang Ni 001; Fei Wen; Behnam Khaleghi; Hugo Latapie; Mohsen Imani (FCCM, 2024)

Efficient Exploration in Edge-Friendly Hyperdimensional Reinforcement Learning. - Yang Ni 001; William Youngwoo Chung; Samuel Cho; Zhuowen Zou; Mohsen Imani (ACM Great Lakes Symposium on VLSI, 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 005; Jinhyung Kim; Taehyung Kim; Yongnyeon Kim; Yang Ni 001; Mohsen Imani; Ilhong Suh; Yeseong Kim (ICRA, 2024)

Dynamic MAC Protocol for Wireless Spectrum Sharing via Hyperdimensional Self-Learning. - Yang Ni 001; Danny Abraham; Mariam Issa; Alejandro Hernández-Cano; Mahdi Imani; Pietro Mercati; Mohsen Imani (IEEE Access, 2024)

A Plug-in Tiny AI Module for Intelligent and Selective Sensor Data Transmission. - Wenjun Huang 001; Arghavan Rezvani; Hanning Chen; Yang Ni 001; Sanggeon Yun; Sungheon Jeong 001; Mohsen Imani (CoRR, 2024)

HEAL: Brain-inspired Hyperdimensional Efficient Active Learning. - Yang Ni 001; Zhuowen Zou; Wenjun Huang 001; Hanning Chen; William Youngwoo Chung; Samuel Cho; Ranganath Krishnan; Pietro Mercati; Mohsen Imani (CoRR, 2024)

HDReason: Algorithm-Hardware Codesign for Hyperdimensional Knowledge Graph Reasoning. - Hanning Chen; Yang Ni 001; Ali Zakeri; Zhuowen Zou; Sanggeon Yun; Fei Wen; Behnam Khaleghi; Narayan Srinivasa; Hugo Latapie; Mohsen Imani (CoRR, 2024)

TaskCLIP: Extend Large Vision-Language Model for Task Oriented Object Detection. - Hanning Chen; Wenjun Huang 001; Yang Ni 001; Sanggeon Yun; Fei Wen; Hugo Latapie; Mohsen Imani (CoRR, 2024)

EcoSense: Energy-Efficient Intelligent Sensing for In-Shore Ship Detection through Edge-Cloud Collaboration. - Wenjun Huang 001; Hanning Chen; Yang Ni 001; Arghavan Rezvani; Sanggeon Yun; Sungheon Jeon; Eric Pedley; Mohsen Imani (CoRR, 2024)

Tell Me What to Track: Infusing Robust Language Guidance for Enhanced Referring Multi-Object Tracking. - Wenjun Huang 001; Yang Ni 001; Hanning Chen; Yirui He; Ian Bryant; Yezi Liu; Mohsen Imani (CoRR, 2024)

Hyperdimensional computing with holographic and adaptive encoder. - Alejandro Hernández-Cano; Yang Ni 001; Zhuowen Zou; Ali Zakeri; Mohsen Imani (Frontiers Artif. Intell., 2024)

Self-trainable and adaptive sensor intelligence for selective data generation. - Arghavan Rezvani; Wenjun Huang 001; Hanning Chen; Yang Ni 001; Mohsen Imani (Frontiers Artif. Intell., 2024)

NetHD: Neurally Inspired Integration of Communication and Learning in Hyperspace. - Prathyush Poduval; Yang Ni 001; Zhuowen Zou; Kai Ni 004; Mohsen Imani (Adv. Intell. Syst., 2024)

Hyperdimensional Brain-Inspired Learning for Phoneme Recognition With Large-Scale Inferior Colliculus Neural Activities. - Yang Ni 001; Ye Yang; Hanning Chen; Xianhui Wang; Nicholas Lesica; Fan-Gang Zeng; Mohsen Imani (IEEE Trans. Biomed. Eng., 2024)

A Multimodal AI Acceleration with Dynamic Pruning and Run-Time Configuration. - Hyun Woo Oh; Hanning Chen; Sanggeon Yun; Yang Ni 001; Behnam Khaleghi; Fei Wen; Mohsen Imani (FCCM, 2025)

KGAccel: A Domain-Specific Reconfigurable Accelerator for Knowledge Graph Reasoning. - Hanning Chen; Ali Zakeri; Yang Ni 001; Fei Wen; Behnam Khaleghi; Hugo Latapie; Alvaro Velasquez; Mohsen Imani (NeuS, 2025)

VLTP: Vision-Language Guided Token Pruning for Task-Oriented Segmentation. - Hanning Chen; Yang Ni 001; Wenjun Huang 001; Yezi Liu; Sungheon Jeong 001; Fei Wen; Nathaniel D. Bastian; Hugo Latapie; Mohsen Imani (WACV, 2025)

Recoverable Anonymization for Pose Estimation: A Privacy-Enhancing Approach. - Wenjun Huang 001; Yang Ni 001; Arghavan Rezvani; Sungheon Jeong 001; Hanning Chen; Yezi Liu; Fei Wen; Mohsen Imani (WACV, 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 001; Yang Ni 001; Hanning Chen; Mohsen Imani (WWW (Companion Volume), 2025)

PACKETCLIP: multi-modal embedding of network traffic and language for cybersecurity reasoning. - Ryozo Masukawa; Sanggeon Yun; SungHeon Evan Jeong; Wenjun Huang 001; Yang Ni 001; Ian Bryant; Nathaniel D. Bastian; Mohsen Imani (Frontiers Artif. Intell., 2025)

LVLM_CSP: Accelerating Large Vision Language Models via Clustering, Scattering, and Pruning for Reasoning Segmentation. - Hanning Chen; Yang Ni 001; Wenjun Huang 001; Hyunwoo Oh; Yezi Liu; Tamoghno Das; Mohsen Imani (CoRR, 2025)

DynHD: Hyperdimensional Computing Approach for Efficient Radar Spectrum Classification. - Zhuowen Zou; Yang Ni 001; SungHeon Jeong 001; Satish Ravindran; Binbin Shi; Phil Chen; Mohsen Imani (IEEE Embed. Syst. Lett., 2025)

Enabling Group Fairness in Graph Unlearning via Bi-level Debiasing. - Yezi Liu; Prathyush Poduval; Wenjun Huang 001; Yang Ni 001; Hanning Chen; Mohsen Imani (CoRR, 2025)