An Outlier Detection Method Based On Symmetry and Curvature Threshold. - Qinqin Dong; Peilin Jiang; Haiduo Huang (ICVIP, 2020)

TAQ: Top-K Attention-Aware Quantization for Vision Transformers. - Lili Shi; Haiduo Huang; Bowei Song; Meng Tan; Wenzhe Zhao; Tian Xia 008; Pengju Ren (ICIP, 2023)

FTP: A Fine-grained Token-wise Pruner for Large Language Models via Token Routing. - Zekai Li; Jintu Zheng; Ji Liu; Han Liu 011; Haowei Zhu; Zeping Li; Fuwei Yang; Haiduo Huang; Jinzhang Peng; Dong Li 025; Lu Tian; Emad Barsoum (CoRR, 2024)

Nearly Lossless Adaptive Bit Switching. - Haiduo Huang; Zhenhua Liu; Tian Xia 008; Wenzhe Zhao; Pengju Ren (CoRR, 2025)

Partial Channel Network: Compute Fewer, Perform Better. - Haiduo Huang; Tian Xia 008; Wenzhe Zhao; Pengju Ren (CoRR, 2025)

Jakiro: Boosting Speculative Decoding with Decoupled Multi-Head via MoE. - Haiduo Huang; Fuwei Yang; Zhenhua Liu; Yixing Xu; Jinze Li 001; Yang Liu; Xuanwu Yin; Dong Li 025; Pengju Ren; Emad Barsoum (CoRR, 2025)

Partial Convolution Meets Visual Attention. - Haiduo Huang; Fuwei Yang; Dong Li 025; Ji Liu; Lu Tian; Jinzhang Peng; Pengju Ren; Emad Barsoum (CoRR, 2025)

Gumiho: A Hybrid Architecture to Prioritize Early Tokens in Speculative Decoding. - Jinze Li 001; Yixing Xu; Haiduo Huang; Xuanwu Yin; Dong Li 025; Edith C. H. Ngai; Emad Barsoum (CoRR, 2025)

KernelDNA: Dynamic Kernel Sharing via Decoupled Naive Adapters. - Haiduo Huang; Yadong Zhang; Pengju Ren (CoRR, 2025)

DeepKD: A Deeply Decoupled and Denoised Knowledge Distillation Trainer. - Haiduo Huang; Jiangcheng Song; Yadong Zhang; Pengju Ren (CoRR, 2025)

NMS: Efficient Edge DNN Training via Near-Memory Sampling on Manifolds. - Boran Zhao; Haiduo Huang; Qiwei Dang; Wenzhe Zhao; Tian Xia 008; Pengju Ren (CoRR, 2025)