Publications (127)
Road Mapping and Localization using Sparse Semantic Visual Features
Wentao Cheng, Sheng Yang, Maomin Zhou +3
We present a novel method for visual mapping and localization for autonomous vehicles, by extracting, modeling, and optimizing semantic road elements. Specifically, our method inte…
Thermal states emerging from low-entanglement background in disordered spin models
Yule Ma, Qianqian Chen, Mingyang Li +2
Thermalization in isolated quantum systems is governed by the eigenstate thermalization hypothesis, while strong disorder can induce its breakdown via many-body localization. Here…
Automated Tensor Scheduling for Hybrid CPU-GPU LLM Inference on Consumer Devices
Yangyijian Liu, Hongyi Ye, Mingyang Li +1
The paper introduces ATSInfer, a system that schedules tensor-level offloading between CPU and GPU to improve large language model inference on consumer devices, using static place…
Accelerating Neural Network Inference by Overflow Aware Quantization
Hongwei Xie, Shuo Zhang, Huanghao Ding +5
The inherent heavy computation of deep neural networks prevents their widespread applications. A widely used method for accelerating model inference is quantization, by replacing t…
The Eleventh NTIRE 2026 Efficient Super-Resolution Challenge Report
Bin Ren, Hang Guo, Yan Shu +60
This paper reviews the NTIRE 2026 challenge on efficient single-image super-resolution with a focus on the proposed solutions and results. The aim of this challenge is to devise a…
Semi-supervised deep learning for high-dimensional uncertainty quantification
Zequn Wang, Mingyang Li
Conventional uncertainty quantification methods usually lacks the capability of dealing with high-dimensional problems due to the curse of dimensionality. This paper presents a sem…