Scholar
Yang Ni
Google Scholar ID: F_FgI4gAAAAJ
Assistant Professor, Purdue University Northwest
Brain-inspired Computing
Machine Learning
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Citations & Impact
All-time
Citations
330
H-index
10
i10-index
10
Publications
20
Co-authors
23
list available
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Publications
2 items
TRINE: A Token-Aware, Runtime-Adaptive FPGA Inference Engine for Multimodal AI
2026
Cited
0
MERIT: Multi-domain Efficient RAW Image Translation
2026
Cited
0
Resume (English only)
Academic Achievements
Best Paper Award at DATE 2022
Publications in top venues including DAC, ICCAD, ECCV, ACM MM, IEEE TBME, IEEE TAI, WACV, AAAI Workshops, Frontiers in AI, and IEEE Sensors
Notable accepted papers (as of 2025):
- 'HEAL: Brain-inspired hyperdimensional efficient active learning' (IEEE TAI)
- 'LVLM_CSP: Accelerating Large Vision Language Models via Clustering, Scattering, and Pruning for Reasoning Segmentation' (ACM MM)
- 'PACKETCLIP: Multi-Modal Embedding of Network Traffic and Language for Cybersecurity Reasoning' (Frontiers in AI)
- 'VLTP: Vision-Language Guided Token Pruning for Task-Oriented Segmentation' (WACV’25)
- 'Recoverable Anonymization for Pose Estimation: A Privacy-Enhancing Approach' (WACV’25)
- 'Taskclip: Extend large vision-language model for task oriented object detection' (FOCUS Workshop @ ECCV’24)
- 'Intelligent Sensing Framework: Near-Sensor Machine Learning for Efficient Data Transmission' (IEEE Sensors)
Research recognized by industry leaders including SRC, Intel, IBM, Cisco, and NXP
Background
Assistant Professor in the Department of Computer Science at Purdue University Northwest (PNW)
Leads the Next-gen Efficient & Intelligent Systems (NEXIS) Lab
Research focuses on designing human-like artificial intelligence
Pioneered neuro-symbolic hyperdimensional computing for ultra-efficient AI algorithms
Research interests include multimodal large language models (MLLMs), deep computer vision, efficient AI, and machine learning
Emphasizes interpretability, efficiency, reliability, and real-world deployability of AI systems
Collaborates closely with researchers from UC San Diego, UC Irvine, UPenn, and others
Co-authors
23 total
Mohsen Imani
Associate Professor, University of California Irvine
Hanning Chen
University of California, Irvine
Wenjun Huang
PhD Student in Computer Science, University of California Irvine
Co-author 4
Yeseong Kim
Associate and Distinguished Professor, DGIST
Danny Abraham
Graduate Student, University of California Irvine
Co-author 7
Yezi Liu
University of California Irvine
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