2 citations · 2 across the 3 of their papers we have counts for
4 papers
From Principles to Practice: A Systematic Study of LLM Serving on Multi-core NPUs
Tianhao Zhu, Dahu Feng, Erhu Feng +1
With the widespread adoption of Large Language Models (LLMs), the demand for high-performance LLM inference services continues to grow. To meet this demand, a growing number of AI…
Cross-Modal Object Tracking: Modality-Aware Representations and A Unified Benchmark
Chenglong Li, Tianhao Zhu, Lei Liu +3
In many visual systems, visual tracking often bases on RGB image sequences, in which some targets are invalid in low-light conditions, and tracking performance is thus affected sig…
Dynamic Local Regret for Non-convex Online Forecasting
Sergul Aydore, Tianhao Zhu, Dean Foster
We consider online forecasting problems for non-convex machine learning models. Forecasting introduces several challenges such as (i) frequent updates are necessary to deal with co…
Time-Smoothed Gradients for Online Forecasting
Tianhao Zhu, Sergul Aydore
Here, we study different update rules in stochastic gradient descent (SGD) for online forecasting problems. The selection of the learning rate parameter is critical in SGD. However…