NewEvery arXiv paper, its researchers & institutions — mapped.
papers

Publications (17)

cs.CV2026

Smart Scissor: Coupling Spatial Redundancy Reduction and CNN Compression for Embedded Hardware

Hao Kong, Di Liu, Shuo Huai +5

cs.LG2026

Latency-Constrained DNN Architecture Learning for Edge Systems using Zerorized Batch Normalization

Shuo Huai, Di Liu, Hao Kong +4

cs.CL2025

Dagger Behind Smile: Fool LLMs with a Happy Ending Story

Xurui Song, Zhixin Xie, Shuo Huai +2

cs.AR2026

On Hardware-Aware Design and Optimization of Edge Intelligence

Shuo Huai, Hao Kong, Xiangzhong Luo +5

cs.CV2026

Towards Efficient Convolutional Neural Network for Embedded Hardware via Multi-Dimensional Pruning

Hao Kong, Di Liu, Xiangzhong Luo +5

The paper introduces TECO, a framework that jointly prunes depth, width, and input resolution of convolutional neural networks to improve speed and resource usage on embedded devic…

#model compression#pruning#embedded hardware#convolutional neural networks
cs.CV2024

Do Not DeepFake Me: Privacy-Preserving Neural 3D Head Reconstruction Without Sensitive Images

Jiayi Kong, Xurui Song, Shuo Huai +3

cs.CV2026

FedTR: Federated Learning Framework with Transfer Learning for Industrial Visual Inspection

Vikash Sathiamoorthy, Shuo Huai, Hao Kong +7

cs.LG2022

You Only Search Once: On Lightweight Differentiable Architecture Search for Resource-Constrained Embedded Platforms

Xiangzhong Luo, Di Liu, Hao Kong +3

cs.CV2026

EdgeCompress: Coupling Multidimensional Model Compression and Dynamic Inference for EdgeAI

Hao Kong, Di Liu, Shuo Huai +5

cs.CV2026

Cheating Stereo Matching in Full-scale: Physical Adversarial Attack against Binocular Depth Estimation in Autonomous Driving

Kangqiao Zhao, Shuo Huai, Xurui Song +1

cs.LG2026

Collate: Collaborative Neural Network Learning for Latency-Critical Edge Systems

Shuo Huai, Di Liu, Hao Kong +5

cs.LG2021

HSCoNAS: Hardware-Software Co-Design of Efficient DNNs via Neural Architecture Search

Xiangzhong Luo, Di Liu, Shuo Huai +1

cs.LG2025

Efficient Deep Learning Infrastructures for Embedded Computing Systems: A Comprehensive Survey and Future Envision

Xiangzhong Luo, Di Liu, Hao Kong +4

cs.AI2025

More Than Meets the Eye? Uncovering the Reasoning-Planning Disconnect in Training Vision-Language Driving Models

Xurui Song, Shuo Huai, JingJing Jiang +2

cs.AR2026

CRIMP: Compact & Reliable DNN Inference on In-Memory Processing via Crossbar-Aligned Compression and Non-ideality Adaptation

Shuo Huai, Hao Kong, Xiangzhong Luo +5

cs.CR2026

Characterizing Trust Boundary Vulnerabilities in TEE Containers: An Empirical Study

Weijie Liu, Hongbo Chen, Shuo Huai +7

cs.LG2026

EvoLP: Self-Evolving Latency Predictor for Model Compression in Real-Time Edge Systems

Shuo Huai, Hao Kong, Shiqing Li +5