Jiamang Wang

Orcid: 0009-0006-1098-0403

According to our database1, Jiamang Wang authored at least 12 papers between 2021 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

2021
2022
2023
2024
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Legend:

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In proceedings 
Article 
PhD thesis 
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Other 

Links

On csauthors.net:

Bibliography

2024
Adaptive Dense Reward: Understanding the Gap Between Action and Reward Space in Alignment.
CoRR, 2024

FALCON: Pinpointing and Mitigating Stragglers for Large-Scale Hybrid-Parallel Training.
CoRR, 2024

DDK: Distilling Domain Knowledge for Efficient Large Language Models.
CoRR, 2024

Boosting Large-scale Parallel Training Efficiency with C4: A Communication-Driven Approach.
CoRR, 2024

D-CPT Law: Domain-specific Continual Pre-Training Scaling Law for Large Language Models.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

DDK: Distilling Domain Knowledge for Efficient Large Language Models.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

FaPES: Enabling Efficient Elastic Scaling for Serverless Machine Learning Platforms.
Proceedings of the 2024 ACM Symposium on Cloud Computing, 2024

2023
Ada-Grouper: Accelerating Pipeline Parallelism in Preempted Network by Adaptive Group-Scheduling for Micro-Batches.
CoRR, 2023

2022
PICASSO: Unleashing the Potential of GPU-centric Training for Wide-and-deep Recommender Systems.
Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

2021
Fangorn: Adaptive Execution Framework for Heterogeneous Workloads on Shared Clusters.
Proc. VLDB Endow., 2021

Exploring Sparse Expert Models and Beyond.
CoRR, 2021

Understanding Chinese Video and Language via Contrastive Multimodal Pre-Training.
Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021


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