Adaptra: Straggler-Resilient Hybrid-Parallel Training with Pipeline Adaptation.
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CoRR, April, 2025
CombatVLA: An Efficient Vision-Language-Action Model for Combat Tasks in 3D Action Role-Playing Games.
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CoRR, March, 2025
Ebdfes: Post-earthquake building damage and fatality estimation system.
Softw. Impacts, 2025
MESCNN: Magnitude estimation system based on convolutional neural networks.
Softw. Impacts, 2025
Enhancing Large-Scale AI Training Efficiency: The C4 Solution for Real-Time Anomaly Detection and Communication Optimization.
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Proceedings of the IEEE International Symposium on High Performance Computer Architecture, 2025
FALCON: Pinpointing and Mitigating Stragglers for Large-Scale Hybrid-Parallel Training.
CoRR, 2024
Boosting Large-scale Parallel Training Efficiency with C4: A Communication-Driven Approach.
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CoRR, 2024
FaPES: Enabling Efficient Elastic Scaling for Serverless Machine Learning Platforms.
Proceedings of the 2024 ACM Symposium on Cloud Computing, 2024
Joint Optimization of Ranking and Calibration with Contextualized Hybrid Model.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023
Rec4Ad: A Free Lunch to Mitigate Sample Selection Bias for Ads CTR Prediction in Taobao.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023
PICASSO: Unleashing the Potential of GPU-centric Training for Wide-and-deep Recommender Systems.
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Proceedings of the 38th IEEE International Conference on Data Engineering, 2022
One Model to Serve All: Star Topology Adaptive Recommender for Multi-Domain CTR Prediction.
CoRR, 2021
One Model to Serve All: Star Topology Adaptive Recommender for Multi-Domain CTR Prediction.
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Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021