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Hairui Zhao

KVServe: Service-Aware KV Cache Compression for Communication-Efficient Disaggregated LLM Serving
2026 · Zedong Liu, Xinyang Ma, et al. · ACM SIGCOMM Conference (SIGCOMM) · 10
Interference-aware opportunistic job placement for shared distributed deep learning clusters
2023 · Hongliang Li, Hairui Zhao, et al. · Journal of Parallel and Distributed Computing · 9
COCCL: A Collective Communication Library Supporting Easy Integration and Configuration of Customized Compression for Scalable LLM Training
2026 · Xingchen Liu, Haoran Kong, et al. · ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming · 6
TACO: Efficient Communication Compression of Intermediate Tensors for Scalable Tensor-Parallel LLM Training
2026 · Man Liu, Xingchen Liu, et al. · ACM International Symposium on High-Performance Parallel and Distributed Computing (HPDC) · 5
PRISM: An Efficient GPU-Based Lossy Compression Framework for Progressive Data Retrieval with Multi-Level Interpolation
2026 · Bing Lu, Zedong Liu, et al. · ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming · 5
Convergence-aware optimal checkpointing for exploratory deep learning training jobs
2024 · Hongliang Li, Zichen Wang, et al. · Future Generation Computer Systems · 5
ExplSched: Maximizing Deep Learning Cluster Efficiency for Exploratory Jobs
2023 · Hongliang Li, Hairui Zhao, et al. · IEEE International Conference on Cluster Computing (CLUSTER) · 5
Spatial Structure-Related Sensory Landmarks Recognition Based on Long Short-Term Memory Algorithm
2021 · Yikang Wang, Jiangnan Zhang, et al. · Micromachines · 5
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A Fully GPU-Accelerated Framework for High-Performance Configuration Interaction Selection with Neural Network Quantum States
2026 · Daran Sun, Bowen Kan, et al. · ACM International Symposium on High-Performance Parallel and Distributed Computing (HPDC) · 3
ENEC: A Lossless AI Model Compression Method Enabling Fast Inference on Ascend NPUs
2026 · Jinwu Yang, Jiaan Wu, et al. · Proceedings - International Symposium on Computer Architecture/Proceedings · 2
CCL-D: A High-Precision Diagnostic System for Slow and Hang Anomalies in Large-Scale Model Training
2026 · Yida Gu, Fakang Wang, et al. · ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming · 2
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Tools-CC-Bench: a Benchmark Suite for Collective Communication with Compression in HPC and AI Workloads
2026 · Haozhe Fan, Wei Wang, et al. · IEEE International Symposium on Workload Characterization · 1
Alleviating straggler impacts for data parallel deep learning with hybrid parameter update
2025 · Hongliang Li, Qi Tian, et al. · Future Generation Computer Systems · 1
Visage: Visual-Aware Generation of Adversarial Examples in Black-Box for Text Classification
2024 · Hairui Zhao, Xinyu Li, et al. · Lecture notes in computer science · 1
LIBRA: Runtime Co-Tuning of Batch Size and Parallelism for Time-Efficient LLM Training — Artifact
2026 · Lyu, Shengkai, Zhao, Hairui, et al. · Zenodo (CERN European Organization for Nuclear Research)
FP4Quant: Efficient 4-Bit Communication Compression for Model-Parallel LLM Training
2026 · Liu, Man, Liu, Xingchen, et al. · arXiv (Cornell University)
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Parallel DNN Training With Uniform Local Batch in Heterogeneous Environments
2026 · Qi Tian, Hongliang Li, et al. · IEEE Transactions on Parallel and Distributed Systems
Low-Latency DNN Model Exploration via Opportunistic Resource Sharing
2026 · Hairui Zhao, Hongliang Li, et al. · IEEE Transactions on Parallel and Distributed Systems
Rehabilitating over Recomputing: A Novel Failure Recovery Method for Large Model Training
2026 · Zichen Wang, Hongliang Li, et al. · IEEE Conference on Computer Communications (INFOCOM)
Sift: Channel-Wise Historical Embedding for High Efficiency Distributed Graph Neural Network Training with Accuracy Guarantee
2026 · Zhewen Xu, Hongliang Li, et al. · ACM Transactions on Architecture and Code Optimization
An adaptive event-based state estimation for coupled network with multiple fading measurement via partial nodes information
2024 · Na Lin, Dongyan Chen, et al. · Journal of Physics Conference Series
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EFNAS: Efficient Federated Neural Architecture Search Across AIoT Devices
2024 · Xiaohui Wei, Guanhua Chen, et al. · International Joint Conference on Neural Networks (IJCNN)
Online Scheduling for Exploratory Training Jobs in Deep Learning Clusters
2024 · Hongliang Li, Hairui Zhao, et al.
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Works count: 24
Citation count: 64
H-index: 5
I10-index: 1
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