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梦豪张

Associate Professor

Beihang University

China

Research Interests

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Articles (20)

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2026

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Collaborators (5)

Renyu Yang

Associate Professor

Beihang University

CHINA

View details

Jiahai Yang

Professor/Vice Director(since 2014)

Tsinghua University

CHINA

View details

Kun Sun

George Mason University

UNITED STATES

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Li Li

Senior Lecturer/Lecturer

Beihang University

CHINA

View details

Enhuan Dong

Assistant Research Professor

Tsinghua University

CHINA

View details

ApplyKite TwinLearns as you apply

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梦豪张

Research Interests

Make your next move.

Articles (20)

Characterizing and Mitigating Productivity Loss in Large-Scale Model Training: An Empirical Study

Weaver: Diagnosing Extra Kernel and Synchronization Interference in GPU Workloads

HyLink: Harnessing PCIe and Dedicated Interconnects for Efficient Collective Communication

C auchy : A Cost-Efficient LLM Serving System through Adaptive Heterogeneous Deployment

JEEVES: The Valet Who Masters the Art of Cross-DC Training Scheduling

Astraea: Enforcing DPU Performance Isolation in Public Clouds

Hawkeye: Diagnosing RDMA Network Performance Anomalies with PFC Provenance

Vedrfolnir: RDMA Network Performance Anomalies Diagnosis in Collective Communications

Mnemosyne: Lightweight and Fast Error Recovery for LLM Training in a Just-In-Time Manner

SuperFE: A Scalable and Flexible Feature Extractor for ML-based Traffic Analysis Applications

THEMIS: Addressing Congestion-Induced Unfairness in Long-Haul RDMA Networks

Cactus: Obfuscating Bidirectional Encrypted TCP Traffic at Client Side

Kale: Elastic GPU Scheduling for Online DL Model Training

Near-Lossless Gradient Compression for Data-Parallel Distributed DNN Training

POSTER: CAVER: Enhancing RDMA Load Balancing by Hunting Less-Congested Paths

POSTER: Co4U: Efficient and Robust HTTP Message Compression for Edge Computing Networks

POSTER: RDMA Network Performance Anomalies Diagnosis with Hawkeye

Exploring Dynamic Rule Caching Under Dependency Constraints for Programmable Switches: Theory, Algorithm, and Implementation

IMap: Toward a Fast, Scalable and Reconfigurable In-Network Scanner With Programmable Switches

LoRDMA: A New Low-Rate DoS Attack in RDMA Networks

Collaborators (5)

Renyu Yang

Jiahai Yang

Kun Sun

Li Li

Enhuan Dong

Make your next move.

梦豪 张

Research Interests

Make your next move.

Articles (20)

Characterizing and Mitigating Productivity Loss in Large-Scale Model Training: An Empirical Study

Weaver: Diagnosing Extra Kernel and Synchronization Interference in GPU Workloads

HyLink: Harnessing PCIe and Dedicated Interconnects for Efficient Collective Communication

C auchy : A Cost-Efficient LLM Serving System through Adaptive Heterogeneous Deployment

JEEVES: The Valet Who Masters the Art of Cross-DC Training Scheduling

Astraea: Enforcing DPU Performance Isolation in Public Clouds

Hawkeye: Diagnosing RDMA Network Performance Anomalies with PFC Provenance

Vedrfolnir: RDMA Network Performance Anomalies Diagnosis in Collective Communications

Mnemosyne: Lightweight and Fast Error Recovery for LLM Training in a Just-In-Time Manner

SuperFE: A Scalable and Flexible Feature Extractor for ML-based Traffic Analysis Applications

THEMIS: Addressing Congestion-Induced Unfairness in Long-Haul RDMA Networks

Cactus: Obfuscating Bidirectional Encrypted TCP Traffic at Client Side

Kale: Elastic GPU Scheduling for Online DL Model Training

Near-Lossless Gradient Compression for Data-Parallel Distributed DNN Training

POSTER: CAVER: Enhancing RDMA Load Balancing by Hunting Less-Congested Paths

POSTER: Co4U: Efficient and Robust HTTP Message Compression for Edge Computing Networks

POSTER: RDMA Network Performance Anomalies Diagnosis with Hawkeye

Exploring Dynamic Rule Caching Under Dependency Constraints for Programmable Switches: Theory, Algorithm, and Implementation

IMap: Toward a Fast, Scalable and Reconfigurable In-Network Scanner With Programmable Switches

LoRDMA: A New Low-Rate DoS Attack in RDMA Networks

Collaborators (5)

Renyu Yang

Jiahai Yang

Kun Sun

Li Li

Enhuan Dong

Make your next move.

梦豪张