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20242026
most citedReliable Microservice Tail Latency Prediction via Decoupled Dual-Stream Learning and Gradient Modulation

1 citations · 1 across the 9 of their papers we have counts for

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cs.PL2025

CLMTracing: Black-box User-level Watermarking for Code Language Model Tracing

Boyu Zhang, Ping He, Tianyu Du +4

With the widespread adoption of open-source code language models (code LMs), intellectual property (IP) protection has become an increasingly critical concern. While current waterm…

cs.LG2025

Toward Robust and Efficient ML-Based GPU Caching for Modern Inference

Peng Chen, Jiaji Zhang, Hailiang Zhao +11

In modern GPU inference, cache efficiency remains a major bottleneck, and heuristic policies such as \textsc{LRU} can perform far worse than the offline optimum. Existing learning-…

cs.LG2025★ 1 cited

Reliable Microservice Tail Latency Prediction via Decoupled Dual-Stream Learning and Gradient Modulation

Wenzhuo Qian, Hailiang Zhao, Jiayi Chen +7

Microservice architectures enable scalable cloud-native applications; however, the distributed nature of these systems complicates the maintenance of strict Service Level Objective…

cs.CV2025

SegQuant: A Semantics-Aware and Generalizable Quantization Framework for Diffusion Models

Jiaji Zhang, Ruichao Sun, Hailiang Zhao +7

Diffusion models have demonstrated exceptional generative capabilities but are computationally intensive, posing significant challenges for deployment in resource-constrained or la…

cs.CV2025

CADRef: Robust Out-of-Distribution Detection via Class-Aware Decoupled Relative Feature Leveraging

Zhiwei Ling, Yachen Chang, Hailiang Zhao +3

Deep neural networks (DNNs) have been widely criticized for their overconfidence when dealing with out-of-distribution (OOD) samples, highlighting the critical need for effective O…