Hanyu Zhao

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

Bibliography

2025

Scaling Towards the Information Boundary of Instruction Set: InfinityInstruct-Subject Technical Report.

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[DOI]

CoRR, July, 2025

CI-VID: A Coherent Interleaved Text-Video Dataset.

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[DOI]

CoRR, July, 2025

Infinity Instruct: Scaling Instruction Selection and Synthesis to Enhance Language Models.

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[DOI]

CoRR, June, 2025

PerfTracker: Online Performance Troubleshooting for Large-scale Model Training in Production.

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CoRR, June, 2025

Beyond the Lens: Quantifying the Impact of Scientific Documentaries through Amazon Reviews.

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[DOI]

CoRR, February, 2025

Memory Offloading for Large Language Model Inference with Latency SLO Guarantees.

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CoRR, February, 2025

Conformal Uncertainty Indicator for Continual Test-Time Adaptation.

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CoRR, February, 2025

Beyond the Lens: Quantifying the Impact of Scientific Documentaries through Amazon Reviews.

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[DOI]

Proceedings of the 17th ACM Web Science Conference 2025, 2025

Evolution of Aegis: Fault Diagnosis for AI Model Training Service in Production.

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

CaliEX: A Disk-Based Large-Scale GNN Training System with Joint Design of Caching and Execution.

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[DOI]

Proceedings of the 41st IEEE International Conference on Data Engineering, 2025

Enhancing Large-Scale AI Training Efficiency: The C4 Solution for Real-Time Anomaly Detection and Communication Optimization.

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[DOI]

Proceedings of the IEEE International Symposium on High Performance Computer Architecture, 2025

Personalized Label Inference Attack in Federated Transfer Learning via Contrastive Meta Learning.

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Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

Beyond IID: Optimizing Instruction Finetuning from the Perspective of Instruction Interaction and Dependency.

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[DOI]

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

FlexNF: Flexible Network Function Orchestration for Scalable On-Path Service Chain Serving.

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[DOI]

IEEE/ACM Trans. Netw., June, 2024

Class Hierarchy-Guided Generalized Few-Shot Ship Detection in Remote Sensing Images.

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[DOI]

IEEE Geosci. Remote. Sens. Lett., 2024

Modifying the one-hot encoding technique can enhance the adversarial robustness of the visual model for symbol recognition.

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[DOI]

Expert Syst. Appl., 2024

CCI3.0-HQ: a large-scale Chinese dataset of high quality designed for pre-training large language models.

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[DOI]

CoRR, 2024

Mitigating Training Imbalance in LLM Fine-Tuning via Selective Parameter Merging.

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CoRR, 2024

Beyond IID: Optimizing Instruction Learning from the Perspective of Instruction Interaction and Dependency.

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[DOI]

CoRR, 2024

Rubick: Exploiting Job Reconfigurability for Deep Learning Cluster Scheduling.

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[DOI]

CoRR, 2024

AquilaMoE: Efficient Training for MoE Models with Scale-Up and Scale-Out Strategies.

[BibT_eX]

[DOI]

CoRR, 2024

Boosting Large-scale Parallel Training Efficiency with C4: A Communication-Driven Approach.

[BibT_eX]

[DOI]

CoRR, 2024

Variational Continual Test-Time Adaptation.

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[DOI]

CoRR, 2024

Infinite-LLM: Efficient LLM Service for Long Context with DistAttention and Distributed KVCache.

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[DOI]

CoRR, 2024

GeoExpert: Geometry Problem Solving Based on RoBERTa and Graph Attention Networks.

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[DOI]

Proceedings of the 36th International Conference on Software Engineering and Knowledge Engineering, 2024

Llumnix: Dynamic Scheduling for Large Language Model Serving.

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[DOI]

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

Computing services oriented evolutionary architecture and key technologies of electric power communication network.

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Proceedings of the 24th IEEE International Conference on Communication Technology, 2024

UniSpLLM: An Integrated Approach for Enhancing Reasoning and Education with Large Language Models.

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Proceedings of the Proceeding of the 32nd International Conference on Computers in Education, 2024

Mitigating Training Imbalance in LLM Fine-Tuning via Selective Parameter Merging.

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[DOI]

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

2023

A Class of Optimal Control Problems of Forward-Backward Systems with Input Constraint.

[BibT_eX]

[DOI]

Jianhui Huang

Wenqiang Li

Hanyu Zhao

J. Optim. Theory Appl., December, 2023

Deep-Reinforcement-Learning-Based NOMA-Aided Slotted ALOHA for LEO Satellite IoT Networks.

[BibT_eX]

[DOI]

IEEE Internet Things J., October, 2023

GoldMiner: Elastic Scaling of Training Data Pre-Processing Pipelines for Deep Learning.

[BibT_eX]

[DOI]

Proc. ACM Manag. Data, 2023

ROAM: memory-efficient large DNN training via optimized operator ordering and memory layout.

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CoRR, 2023

EasyScale: Elastic Training with Consistent Accuracy and Improved Utilization on GPUs.

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Proceedings of the International Conference for High Performance Computing, 2023

SiloD: A Co-design of Caching and Scheduling for Deep Learning Clusters.

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Proceedings of the Eighteenth European Conference on Computer Systems, 2023

Knowledgeable Parameter Efficient Tuning Network for Commonsense Question Answering.

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[DOI]

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022

Artificial Intelligence Security Competition (AISC).

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[DOI]

CoRR, 2022

EasyScale: Accuracy-consistent Elastic Training for Deep Learning.

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[DOI]

CoRR, 2022

Instance-wise Prompt Tuning for Pretrained Language Models.

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[DOI]

CoRR, 2022

Deep Reinforcement Learning for the Joint AoI and Throughput Optimization of the Random Access System.

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[DOI]

Proceedings of the 14th International Conference on Wireless Communications and Signal Processing, 2022

Zoomer: Boosting Retrieval on Web-scale Graphs by Regions of Interest.

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[DOI]

Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

Deep Learning-Based Joint Modulation and Coding Scheme Recognition for 5G New Radio Protocols.

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[DOI]

Proceedings of the 22nd IEEE International Conference on Communication Technology, 2022

2021

WuDaoCorpora: A super large-scale Chinese corpora for pre-training language models.

[BibT_eX]

[DOI]

AI Open, 2021

FlexNF: Flexible Network Function Orchestration on the Programmable Data Plane.

[BibT_eX]

[DOI]

Proceedings of the 29th IEEE/ACM International Symposium on Quality of Service, 2021

A Chinese Machine Reading Comprehension Dataset Automatic Generated Based on Knowledge Graph.

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[DOI]

Proceedings of the Chinese Computational Linguistics - 20th China National Conference, 2021

A Federated Adversarial Learning Method for Biomedical Named Entity Recognition.

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[DOI]

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021

2020

PASCAL: a pseudo cascade learning framework for breast cancer treatment entity normalization in Chinese clinical text.

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[DOI]

BMC Medical Informatics Decis. Mak., 2020

HiveD: Sharing a GPU Cluster for Deep Learning with Guarantees.

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[DOI]

Proceedings of the 14th USENIX Symposium on Operating Systems Design and Implementation, 2020

A Topology-Aware Performance Prediction Model for Distributed Deep Learning on GPU Clusters.

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[DOI]

Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

2019

MSD: Multi-Self-Distillation Learning via Multi-classifiers within Deep Neural Networks.

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[DOI]

CoRR, 2019

A Word Segmentation Method of Ancient Chinese Based on Word Alignment.

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[DOI]

Proceedings of the Natural Language Processing and Chinese Computing, 2019

SCHED²: Scheduling Deep Learning Training via Deep Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE Global Communications Conference, 2019

Chinese Historical Term Translation Pairs Extraction Using Modern Chinese as a Pivot Language.

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Proceedings of the Chinese Computational Linguistics - 18th China National Conference, 2019

2018

Gandiva: Introspective Cluster Scheduling for Deep Learning.

[BibT_eX]

[DOI]

Proceedings of the 13th USENIX Symposium on Operating Systems Design and Implementation, 2018

Building efficient and available distributed transaction with Paxos-based coding consensus.

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[DOI]

Proceedings of the IEEE INFOCOM 2018, 2018

Term Translation Extraction from Historical Classics Using Modern Chinese Explanation.

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[DOI]

Xiaoting Wu

Hanyu Zhao

Chao Che

Proceedings of the Chinese Computational Linguistics and Natural Language Processing Based on Naturally Annotated Big Data, 2018

SDPaxos: Building Efficient Semi-Decentralized Geo-replicated State Machines.

[BibT_eX]

[DOI]

Proceedings of the ACM Symposium on Cloud Computing, 2018

Scheduling CPU for GPU-based Deep Learning Jobs.

[BibT_eX]

[DOI]

Proceedings of the ACM Symposium on Cloud Computing, 2018

Hanyu Zhao

Bibliography

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