Yuliang Liu

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Publications (16)

• BigMac: Breaking the Pareto Frontier of Compute and Memory in Multimodal LLM Training
  arXiv preprint arXiv:2605.25451 2026
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• ExpertPlex: A High-Goodput Disaggregated Serving System for MoE LLMs with Adaptive Persistent Kernels
  arXiv preprint arXiv:2607.18002 2026
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• Heddle: A Distributed Orchestration System for Agentic RL Rollout
  arXiv preprint arXiv:2603.28101 2026
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• PROBE: Co-Balancing Computation and Communication in MoE Inference via Real-Time Predictive Prefetching
  arXiv preprint arXiv:2602.00509 2026
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• ReLibra: Routing-Replay-Guided Load Balancing for MoE Training in Reinforcement Learning
  arXiv preprint arXiv:2605.08639 2026
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• ScalingCache: Extreme Acceleration of DiTs through Difference Scaling and Dynamic Interval Caching
  The Fourteenth International Conference on Learning Representations 2026
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• UltraEP: Unleash MoE Training and Inference on Rack-Scale Nodes with Near-Optimal Load Balancing
  arXiv preprint arXiv:2606.04101 2026
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• xHC: Expanded Hyper-Connections
  arXiv preprint arXiv:2607.14530 2026
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• SlimPipe: Memory-Thrifty and Efficient Pipeline Parallelism for Long-Context LLM Training
  2025 5 citations DOI: 10.1145/3712285.3759855
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• Kling-omni technical report
  arXiv preprint arXiv:2512.16776 2025
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