Zhiqi Lin

This page is a disambiguation page, it actually contains multiple papers from persons of the same or a similar name.

Bibliography

2026

nnScaler-M: Constraint-Guided and Placement-Aware Parallelization Plan Generation for Deep Learning Training.

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[DOI]

IEEE Trans. Parallel Distributed Syst., July, 2026

veScale-FSDP: Flexible and High-Performance FSDP at Scale.

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[DOI]

CoRR, February, 2026

A Minimum Variance Path Principle for Accurate and Stable Score-Based Density Ratio Estimation.

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[DOI]

CoRR, February, 2026

UGLF-Net: A parallel architecture for Underwater Global-Local Feature Fusion Network.

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[DOI]

Comput. Vis. Image Underst., 2026

OmniScale: Scaling Any Modality Model Training with Model-Centric Distributed Recipe Zoo.

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Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

veScale: Consistent and Efficient Tensor Programming with Eager-Mode SPMD.

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[DOI]

CoRR, September, 2025

Any-Step Density Ratio Estimation via Interval-Annealed Secant Alignment.

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[DOI]

CoRR, September, 2025

VeOmni: Scaling Any Modality Model Training with Model-Centric Distributed Recipe Zoo.

[BibT_eX]

[DOI]

CoRR, August, 2025

Truncated Proximal Policy Optimization.

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[DOI]

CoRR, June, 2025

VAPO: Efficient and Reliable Reinforcement Learning for Advanced Reasoning Tasks.

[BibT_eX]

[DOI]

CoRR, April, 2025

DAPO: An Open-Source LLM Reinforcement Learning System at Scale.

[BibT_eX]

[DOI]

CoRR, March, 2025

Fully Bayesian differential Gaussian processes through stochastic differential equations.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2025

ReciprocalLA-LLIE: Low-light image enhancement with luminance-aware reciprocal diffusion process.

[BibT_eX]

[DOI]

Neurocomputing, 2025

AutoCCL: Automated Collective Communication Tuning for Accelerating Distributed and Parallel DNN Training.

[BibT_eX]

[DOI]

Proceedings of the 22nd USENIX Symposium on Networked Systems Design and Implementation, 2025

DAPO: An Open-Source LLM Reinforcement Learning System at Scale.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

BlockIQA: Local Sensitivity-Enhanced Blind Image Quality Assessment through Deep Block Analysis.

[BibT_eX]

[DOI]

Proceedings of the 2025 International Conference on Multimedia Retrieval, 2025

From Principles to Practice: A Design Framework for Patient-Centered Conversational AI in Digital Medicine.

[BibT_eX]

[DOI]

Zhiqi Lin

Hanhui Li

Proceedings of the 2025 8th International Conference on Digital Medicine and Image Processing, 2025

2024

Efficient Schedule Construction for Distributed Execution of Large DNN Models.

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[DOI]

IEEE Trans. Parallel Distributed Syst., December, 2024

Adaptive Time-Varying Routing for Energy Saving and Load Balancing in Wireless Body Area Networks.

[BibT_eX]

[DOI]

IEEE Trans. Mob. Comput., January, 2024

Natural Language Fine-Tuning.

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[DOI]

CoRR, 2024

Flexible Bayesian Last Layer Models Using Implicit Priors and Diffusion Posterior Sampling.

[BibT_eX]

[DOI]

CoRR, 2024

nnScaler: Constraint-Guided Parallelization Plan Generation for Deep Learning Training.

[BibT_eX]

[DOI]

Proceedings of the 18th USENIX Symposium on Operating Systems Design and Implementation, 2024

Tessel: Boosting Distributed Execution of Large DNN Models via Flexible Schedule Search.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Symposium on High-Performance Computer Architecture, 2024

Aceso: Efficient Parallel DNN Training through Iterative Bottleneck Alleviation.

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[DOI]

Proceedings of the Nineteenth European Conference on Computer Systems, 2024

2023

SuperScaler: Supporting Flexible DNN Parallelization via a Unified Abstraction.

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[DOI]

CoRR, 2023

2021

Efficient Data Loader for Fast Sampling-Based GNN Training on Large Graphs.

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[DOI]

IEEE Trans. Parallel Distributed Syst., 2021

Flexible high-resolution object detection on edge devices with tunable latency.

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[DOI]

Proceedings of the ACM MobiCom '21: The 27th Annual International Conference on Mobile Computing and Networking, 2021

Accelerating GNN training with locality-aware partial execution.

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[DOI]

Proceedings of the APSys '21: 12th ACM SIGOPS Asia-Pacific Workshop on Systems, 2021

2020

PaGraph: Scaling GNN training on large graphs via computation-aware caching.

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[DOI]

Proceedings of the SoCC '20: ACM Symposium on Cloud Computing, 2020

2019

Occlumency: Privacy-preserving Remote Deep-learning Inference Using SGX.

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[DOI]

Proceedings of the 25th Annual International Conference on Mobile Computing and Networking, 2019

2014

LED Virtual Simulation based on Web3D.

[BibT_eX]

[DOI]

J. Multim., 2014

Zhiqi Lin

Bibliography

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