Zhaoyun Chen

Orcid: 0000-0002-5181-160X

According to our database1, Zhaoyun Chen authored at least 25 papers between 2014 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Optimizing VLIW Instruction Scheduling via a Two-Dimensional Constrained Dynamic Programming.
ACM Trans. Design Autom. Electr. Syst., 2024

ESEN: Efficient GPU sharing of Ensemble Neural Networks.
Neurocomputing, 2024

HyFiSS: A Hybrid Fidelity Stall-Aware Simulator for GPGPUs.
Proceedings of the 57th IEEE/ACM International Symposium on Microarchitecture, 2024

2023
VQNet 2.0: A New Generation Machine Learning Framework that Unifies Classical and Quantum.
CoRR, 2023

Releasing the Potential of Tensor Core for Unstructured SpMM using Tiled-CSR Format.
Proceedings of the 41st IEEE International Conference on Computer Design, 2023

Automatic End-to-End Joint Optimization for Kernel Compilation on DSPs.
Proceedings of the 60th ACM/IEEE Design Automation Conference, 2023

QAOA-based MRMR Algorithm for Feature Selection.
Proceedings of the 2023 International Conference on Advances in Artificial Intelligence and Applications, 2023

2022
RIFLING: A reinforcement learning-based GPU scheduler for deep learning research and development platforms.
Softw. Pract. Exp., 2022

QPanda: high-performance quantum computing framework for multiple application scenarios.
CoRR, 2022

MT-3000: a heterogeneous multi-zone processor for HPC.
CCF Trans. High Perform. Comput., 2022

PickyMan: A Preemptive Scheduler for Deep Learning Jobs on GPU Clusters.
Proceedings of the IEEE International Performance, 2022

CORF: Bridging the Gap of Complex Operator Fusion for Faster DNN Inference.
Proceedings of the 24th IEEE Int Conf on High Performance Computing & Communications; 8th Int Conf on Data Science & Systems; 20th Int Conf on Smart City; 8th Int Conf on Dependability in Sensor, 2022

Exploring ILP for VLIW Architecture by Quantified Modeling and Dynamic Programming-Based Instruction Scheduling.
Proceedings of the 27th Asia and South Pacific Design Automation Conference, 2022

2021
Automatic mapping and code optimization for OpenCL kernels on FT-matrix architecture (WIP paper).
Proceedings of the LCTES '21: 22nd ACM SIGPLAN/SIGBED International Conference on Languages, 2021

2020
Deep Learning Research and Development Platform: Characterizing and Scheduling with QoS Guarantees on GPU Clusters.
IEEE Trans. Parallel Distributed Syst., 2020

Efficient Parallel TLD on CPU-GPU Platform for Real-Time Tracking.
KSII Trans. Internet Inf. Syst., 2020

2019
Mechanical Properties and Corrosion Resistance of NbTiAlSiZrN<sub>x</sub> High-Entropy Films Prepared by RF Magnetron Sputtering.
Entropy, 2019

Poster Abstract: Deep Learning Workloads Scheduling with Reinforcement Learning on GPU Clusters.
Proceedings of the IEEE INFOCOM 2019, 2019

GENIE: QoS-guided Dynamic Scheduling for CNN-based Tasks on SME Clusters.
Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2019

2018
Multiple CNN-based Tasks Scheduling across Shared GPU Platform in Research and Development Scenarios.
Proceedings of the 20th IEEE International Conference on High Performance Computing and Communications; 16th IEEE International Conference on Smart City; 4th IEEE International Conference on Data Science and Systems, 2018

2017
Exploiting a depth context model in visual tracking with correlation filter.
Frontiers Inf. Technol. Electron. Eng., 2017

Applying Detection Proposals to Visual Tracking for Scale and Aspect Ratio Adaptability.
Int. J. Comput. Vis., 2017

2015
Fast tracking via context depth model learning.
Proceedings of the 2015 IEEE International Conference on Image Processing, 2015

Enable Scale and Aspect Ratio Adaptability in Visual Tracking with Detection Proposals.
Proceedings of the British Machine Vision Conference 2015, 2015

2014
Utilizing Multiple Xeon Phi Coprocessors on One Compute Node.
Proceedings of the Algorithms and Architectures for Parallel Processing, 2014


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