Yang Ni
Scholar

Yang Ni

Google Scholar ID: F_FgI4gAAAAJ
Assistant Professor, Purdue University Northwest
Brain-inspired ComputingMachine Learning
Citations & Impact
All-time
Citations
330
 
H-index
10
 
i10-index
10
 
Publications
20
 
Co-authors
23
list available
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