Hongchao Du

According to our database, Hongchao Du authored at least 16 papers between 2019 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

LAPS: A Length-Aware-Prefill LLM Serving System.

Jianshu She, Zonghang Li, Hongchao Du, Shangyu Wu, Wenhao Zheng, Eric Xing, Zhengzhong Liu, Huaxiu Yao, Jason Xue, Qirong Ho

CoRR, January, 2026

Breaking the I/O Bottleneck: I/O Coordination Optimization for Efficient Large-Scale LLM Fine-Tuning.

Ziyang Shen, Hongchao Du, Kaihuan Lin, Dawei Wu, Yin Lin, Ting Luo, Qiao Li, Chun Jason Xue

Proceedings of the IEEE International Symposium on Performance Analysis of Systems and Software, 2026

ClawMobile: Rethinking Smartphone-Native Agentic Systems.

Hongchao Du, Shangyu Wu, Qiao Li, Riwei Pan, Jinheng Li, Youcheng Sun, Chun Jason Xue

Proceedings of the Sixth European Workshop on Machine Learning and Systems, EuroMLSys 2026, 2026

2025

SolFS: An Operation-Log Versioning File System for Hash-free Efficient Mobile Cloud Backup.

Riwei Pan, Yu Liang, Lei Li, Hongchao Du, Tei-Wei Kuo, Chun Jason Xue

Proceedings of the 2025 USENIX Annual Technical Conference, 2025

Memory-Optimized Offloading: Enabling LLM Fine-Tuning on Memory-Constrained Hardware.

Kaihuan Lin, Hongchao Du, Dawei Wu, Yin Lin, Ting Luo, Qiao Li, Chun Jason Xue

Proceedings of the 14th IEEE Non-Volatile Memory Systems and Applications Symposium, 2025

FlexPB: Achieving Flexible and Efficient Persistent User Buffers for Mobile Systems.

Hongchao Du, Qiao Li, Xianzhang Chen, Nan Guan, Chun Jason Xue

Proceedings of the 14th IEEE Non-Volatile Memory Systems and Applications Symposium, 2025

EvoP: Robust LLM Inference via Evolutionary Pruning.

Shangyu Wu, Hongchao Du, Ying Xiong, Shuai Chen, Tei-Wei Kuo, Nan Guan, Chun Jason Xue

Proceedings of the Natural Language Processing and Chinese Computing, 2025

ArtMem: Adaptive Migration in Reinforcement Learning-Enabled Tiered Memory.

Xinyue Yi, Hongchao Du, Yu Wang, Jie Zhang, Qiao Li, Chun Jason Xue

Proceedings of the 52nd Annual International Symposium on Computer Architecture, 2025

FlexInfer: Breaking Memory Constraint via Flexible and Efficient Offloading for On-Device LLM Inference.

Hongchao Du, Shangyu Wu, Arina Kharlamova, Nan Guan, Chun Jason Xue

Proceedings of the 5th Workshop on Machine Learning and Systems, 2025

2024

On the Compressibility of Quantized Large Language Models.

Yu Mao, Weilan Wang, Hongchao Du, Nan Guan, Chun Jason Xue

CoRR, 2024

When Compression Meets Model Compression: Memory-Efficient Double Compression for Large Language Models.

Weilan Wang, Yu Mao, Dongdong Tang, Hongchao Du, Nan Guan, Chun Jason Xue

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

2023

Multi-Granularity Shadow Paging with NVM Write Optimization for Crash-Consistent Memory-Mapped I/O.

Hongchao Du, Qiao Li, Riwei Pan, Tei-Wei Kuo, Chun Jason Xue

Proceedings of the IEEE International Symposium on High-Performance Computer Architecture, 2023

2022

A Practical Highly Paralleled ReRAM-Based DNN Accelerator by Reusing Weight Pattern Repetitions.

Yuhao Zhang, Zhiping Jia, Hongchao Du, Runzhen Xue, Zhaoyan Shen, Zili Shao

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2022

2021

DAP-Sketch: An accurate and effective network measurement sketch with Deterministic Admission Policy.

Rui Wang, Hongchao Du, Zhaoyan Shen, Zhiping Jia

Comput. Networks, 2021

2020

PattPIM: A Practical ReRAM-Based DNN Accelerator by Reusing Weight Pattern Repetitions.

Yuhao Zhang, Zhiping Jia, Yungang Pan, Hongchao Du, Zhaoyan Shen, Mengying Zhao, Zili Shao

Proceedings of the 57th ACM/IEEE Design Automation Conference, 2020

2019

Accurate Network Flow Measurement with Deterministic Admission Policy.

Hongchao Du, Rui Wang, Zhaoyan Shen, Zhiping Jia

Proceedings of the Algorithms and Architectures for Parallel Processing, 2019