12 citations · 21 across the 6 of their papers we have counts for
6 papers
An Efficient Hybrid Sparse Attention with CPU-GPU Parallelism for Long-Context Inference
Feiyu Yao, Zhixiong Niu, Xiaqing Li +3
Long-context inference increasingly operates over CPU-resident KV caches, either because decoding-time KV states exceed GPU memory capacity or because disaggregated prefill-decode…
NestQuant: Post-Training Integer-Nesting Quantization for On-Device DNN
Jianhang Xie, Chuntao Ding, Xiaqing Li +3
Deploying quantized deep neural network (DNN) models with resource adaptation capabilities on ubiquitous Internet of Things (IoT) devices to provide high-quality AI services can le…
AGON: Automated Design Framework for Customizing Processors from ISA Documents
Chongxiao Li, Di Huang, Pengwei Jin +12
Customized processors are attractive solutions for vast domain-specific applications due to their high energy efficiency. However, designing a processor in traditional flows is tim…
DA-Ada: Learning Domain-Aware Adapter for Domain Adaptive Object Detection
Haochen Li, Rui Zhang, Hantao Yao +7
Domain adaptive object detection (DAOD) aims to generalize detectors trained on an annotated source domain to an unlabelled target domain. As the visual-language models (VLMs) can…
TensorTEE: Unifying Heterogeneous TEE Granularity for Efficient Secure Collaborative Tensor Computing
Husheng Han, Xinyao Zheng, Yuanbo Wen +11
Heterogeneous collaborative computing with NPU and CPU has received widespread attention due to its substantial performance benefits. To ensure data confidentiality and integrity d…
AutoDES: AutoML Pipeline Generation of Classification with Dynamic Ensemble Strategy Selection
Yunpu Zhao, Rui Zhang, Xiaqing Li
Automating machine learning has achieved remarkable technological developments in recent years, and building an automated machine learning pipeline is now an essential task. The mo…