Search Results for author: Cheng Lyu

Found 8 papers, 4 papers with code

Beyond Application End-Point Results: Quantifying Statistical Robustness of MCMC Accelerators

no code implementations5 Mar 2020 Xiangyu Zhang, Ramin Bashizade, Yicheng Wang, Cheng Lyu, Sayan Mukherjee, Alvin R. Lebeck

Applying the framework to guide design space exploration shows that statistical robustness comparable to floating-point software can be achieved by slightly increasing the bit representation, without floating-point hardware requirements.

Real-time Operation Optimization of Microgrids with Battery Energy Storage System: A Tube-based Model Predictive Control Approach

no code implementations10 Apr 2021 Cheng Lyu, Youwei Jia, Zhao Xu

In this paper, a tube-based model predictive control (MPC) approach is innovatively proposed in accommodating the real-time energy management of microgrids with battery ESS.

energy management Management +1

Peer-to-Peer Energy Cooperation in Building Community over A Lossy Network

no code implementations18 May 2021 Cheng Lyu, Youwei Jia, Zhao Xu

Energy management of buildings is of vital importance for the urban low-carbon transition.

energy trading Management

Efficient Meta-Tuning for Content-aware Neural Video Delivery

1 code implementation20 Jul 2022 Xiaoqi Li, Jiaming Liu, Shizun Wang, Cheng Lyu, Ming Lu, Yurong Chen, Anbang Yao, Yandong Guo, Shanghang Zhang

Our method significantly reduces the computational cost and achieves even better performance, paving the way for applying neural video delivery techniques to practical applications.

Super-Resolution

Similarity-based Feature Extraction for Large-scale Sparse Traffic Forecasting

1 code implementation13 Nov 2022 Xinhua Wu, Cheng Lyu, Qing-Long Lu, Vishal Mahajan

Short-term traffic forecasting is an extensively studied topic in the field of intelligent transportation system.

Time Series Time Series Forecasting +1

Privileged Prior Information Distillation for Image Matting

no code implementations25 Nov 2022 Cheng Lyu, Jiake Xie, Bo Xu, Cheng Lu, Han Huang, Xin Huang, Ming Wu, Chuang Zhang, Yong Tang

Performance of trimap-free image matting methods is limited when trying to decouple the deterministic and undetermined regions, especially in the scenes where foregrounds are semantically ambiguous, chromaless, or high transmittance.

Image Matting

EdgeQAT: Entropy and Distribution Guided Quantization-Aware Training for the Acceleration of Lightweight LLMs on the Edge

1 code implementation16 Feb 2024 Xuan Shen, Zhenglun Kong, Changdi Yang, Zhaoyang Han, Lei Lu, Peiyan Dong, Cheng Lyu, Chih-hsiang Li, Xuehang Guo, Zhihao Shu, Wei Niu, Miriam Leeser, Pu Zhao, Yanzhi Wang

In this paper, we propose EdgeQAT, the Entropy and Distribution Guided QAT for the optimization of lightweight LLMs to achieve inference acceleration on Edge devices.

Quantization

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