I/O scheduling with mapping cache awareness for flash based storage systems. - Cheng Ji 002; Chao Wu 006; Li-Pin Chang; Liang Shi 001; Chun Jason Xue (EMSOFT, 2016)

An Empirical Study of File-System Fragmentation in Mobile Storage Systems. - Cheng Ji 002; Li-Pin Chang; Liang Shi 001; Chao Wu 006; Qiao Li 001; Chun Jason Xue (HotStorage, 2016)

Dynamic merging/splitting for better responsiveness in mobile devices. - Chao Wu 006; Cheng Ji 002; Liang Shi 001; Chun Jason Xue; Bin Huang; Yuangang Wang (NVMSA, 2016)

Lightweight Data Compression for Mobile Flash Storage. - Cheng Ji 002; Li-Pin Chang; Liang Shi 001; Congming Gao; Chao Wu 006; Yuangang Wang; Chun Jason Xue (ACM Trans. Embed. Comput. Syst., 2017)

Maximizing I/O throughput and minimizing performance variation via reinforcement learning based I/O merging for SSDs: work-in-progress. - Chao Wu 006; Cheng Ji 002; Qiao Li 001; Chenchen Fu; Chun Jason Xue (CASES, 2018)

An I/O Scheduling Strategy for Embedded Flash Storage Devices With Mapping Cache. - Cheng Ji 002; Li-Pin Chang; Chao Wu 006; Liang Shi 001; Chun Jason Xue (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2018)

Reinforcement Learning based Background Segment Cleaning for Log-structured File System on Mobile Devices. - Chao Wu 006; Cheng Ji 002; Chun Jason Xue (ICESS, 2019)

Machine learning assisted OSP approach for improved QoS performance on 3D charge-trap based SSDs. - Zongwei Zhu; Chao Wu 006; Cheng Ji 002; Xianmin Wang (Int. J. Intell. Syst., 2020)

Maximizing I/O Throughput and Minimizing Performance Variation via Reinforcement Learning Based I/O Merging for SSDs. - Chao Wu 006; Cheng Ji 002; Qiao Li 001; Congming Gao; Riwei Pan; Chenchen Fu; Liang Shi 001; Chun Jason Xue (IEEE Trans. Computers, 2020)

Pruning Deep Reinforcement Learning for Dual User Experience and Storage Lifetime Improvement on Mobile Devices. - Chao Wu 006; Yufei Cui; Cheng Ji 002; Tei-Wei Kuo; Chun Jason Xue (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2020)

Boosting User Experience via Foreground-Aware Cache Management in UFS Mobile Devices. - Chao Wu 006; Qiao Li 001; Cheng Ji 002; Tei-Wei Kuo; Chun Jason Xue (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2020)

Pattern-Guided File Compression with User-Experience Enhancement for Log-Structured File System on Mobile Devices. - Cheng Ji 002; Li-Pin Chang; Riwei Pan; Chao Wu 006; Congming Gao; Liang Shi 001; Tei-Wei Kuo; Chun Jason Xue (FAST, 2021)

All-in-One: A Highly Representative DNN Pruning Framework for Edge Devices with Dynamic Power Management. - Yifan Gong 004; Zheng Zhan 001; Pu Zhao 001; Yushu Wu; Chao Wu 006; Caiwen Ding; Weiwen Jiang; Minghai Qin; Yanzhi Wang (ICCAD, 2022)

DeltaFS: Pursuing Zero Update Overhead via Metadata-Enabled Delta Compression for Log-structured File System on Mobile Devices. - Chao Wu 006; Cheng Ji 002; Geng Yuan; Riwei Pan; Weichao Guo; Chao Yu; Zongwei Zhu; Yanzhi Wang (CoRR, 2022)

A Scalable Real-time Semantic Segmentation Network for Autonomous Driving. - Jun Liu 075; Chao Wu 006; Geng Yuan; Wei Niu 002; Wenbin Zhang 002; Houbing Herbert Song (AMC-SME, 2023)

Condense: A Framework for Device and Frequency Adaptive Neural Network Models on the Edge. - Yifan Gong 004; Pu Zhao 001; Zheng Zhan 001; Yushu Wu; Chao Wu 006; Zhenglun Kong; Minghai Qin; Caiwen Ding; Yanzhi Wang (DAC, 2023)

RLAlloc: A Deep Reinforcement Learning-Assisted Resource Allocation Framework for Enhanced Both I/O Throughput and QoS Performance of Multi-Streamed SSDs. - Mengquan Li; Chao Wu 006; Congming Gao; Cheng Ji 002; Kenli Li 001 (DAC, 2023)

MOC: Multi-Objective Mobile CPU-GPU Co-Optimization for Power-Efficient DNN Inference. - Yushu Wu; Yifan Gong 004; Zheng Zhan 001; Geng Yuan; Yanyu Li; Qi Wang; Chao Wu 006; Yanzhi Wang (ICCAD, 2023)

PackQViT: Faster Sub-8-bit Vision Transformers via Full and Packed Quantization on the Mobile. - Peiyan Dong; Lei Lu; Chao Wu 006; Cheng Lyu; Geng Yuan; Hao Tang 005; Yanzhi Wang (NeurIPS, 2023)

Predicting for I/O stack optimizations on cyber-physical systems. - Yangmei Zhang; Fanfan Shen; Mengquan Li; Chao Wu 006 (Microprocess. Microsystems, 2023)

LOTUS: learning-based online thermal and latency variation management for two-stage detectors on edge devices. - Yifan Gong 004; Yushu Wu; Zheng Zhan 001; Pu Zhao 001; Liangkai Liu; Chao Wu 006; Xulong Tang; Yanzhi Wang (DAC, 2024)

SuperFlow: A Fully-Customized RTL-to-GDS Design Automation Flow for Adiabatic Quantum- Flux - Parametron Superconducting Circuits. - Yanyue Xie; Peiyan Dong; Geng Yuan; Zhengang Li; Masoud Zabihi; Chao Wu 006; Sung-En Chang; Xufeng Zhang; Xue Lin 001; Caiwen Ding; Nobuyuki Yoshikawa; Olivia Chen; et al. (DATE, 2024)

AyE-Edge: Automated Deployment Space Search Empowering Accuracy yet Efficient Real-Time Object Detection on the Edge. - Chao Wu 006; Yifan Gong 004; Liangkai Liu; Mengquan Li; Yushu Wu; Xuan Shen; Zhimin Li; Geng Yuan; Weisong Shi; Yanzhi Wang (ICCAD, 2024)

Waxing-and-Waning: a Generic Similarity-based Framework for Efficient Self-Supervised Learning. - Sheng Li 019; Chao Wu 006; Ao Li 004; Yanzhi Wang; Xulong Tang; Geng Yuan (ICLR, 2024)

Search for Efficient Large Language Models. - Xuan Shen; Pu Zhao 001; Yifan Gong 004; Zhenglun Kong; Zheng Zhan 001; Yushu Wu; Ming Lin; Chao Wu 006; Xue Lin 001; Yanzhi Wang (NeurIPS, 2024)

EdgeOL: Efficient in-situ Online Learning on Edge Devices. - Sheng Li 019; Geng Yuan; Yawen Wu; Yue Dai 005; Chao Wu 006; Alex K. Jones; Jingtong Hu; Yanzhi Wang; Xulong Tang (CoRR, 2024)

Efficient Pruning of Large Language Model with Adaptive Estimation Fusion. - Jun Liu 075; Chao Wu 006; Changdi Yang; Hao Tang 005; Haoye Dong; Zhenglun Kong; Geng Yuan; Wei Niu 002; Dong Huang; Yanzhi Wang (CoRR, 2024)

Automated Optical Accelerator Search Toward Superior Acceleration Efficiency, Inference Robustness, and Development Speed. - Mengquan Li; Kenli Li 001; Chao Wu 006; Gang Liu; Mingfeng Lan; Yunchuan Qin; Zhuo Tang; Weichen Liu (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2024)

MedFS: Pursuing Low Update Overhead via Metadata-Enabled Delta Compression for Log-structured File System on Mobile Device. - Chao Wu 006; Cheng Ji 002; Li-Pin Chang; Zongwei Zhu; Congming Gao; Weichao Guo; Chao Yu; Yanzhi Wang (FAST, 2025)