6 citations · 12 across the 5 of their papers we have counts for
5 papers
FAIR: Focused Attention Is All You Need for Generative Recommendation
Longtao Xiao, Haolin Zhang, Guohao Cai +6
Recently, transformer-based generative recommendation has garnered significant attention for user behavior modeling. However, it often requires discretizing items into multi-code r…
Challenging GPU Dominance: When CPUs Outperform for On-Device LLM Inference
Haolin Zhang, Jeff Huang
The common assumption in on-device AI is that GPUs, with their superior parallel processing, always provide the best performance for large language model (LLM) inference. In this w…
DawnPiper: A Memory-scablable Pipeline Parallel Training Framework
Xuan Peng, Xuanhua Shi, Haolin Zhang +2
Pipeline parallelism is a crucial paradigm for large-scale model training. However, imbalances in memory footprint across stages can lead to significant GPU memory wastage, limitin…
Predicting Pedestrian Crossing Intention with Feature Fusion and Spatio-Temporal Attention
Dongfang Yang, Haolin Zhang, Ekim Yurtsever +2
Predicting vulnerable road user behavior is an essential prerequisite for deploying Automated Driving Systems (ADS) in the real-world. Pedestrian crossing intention should be recog…
Faraway-Frustum: Dealing with Lidar Sparsity for 3D Object Detection using Fusion
Haolin Zhang, Dongfang Yang, Ekim Yurtsever +2
Learned pointcloud representations do not generalize well with an increase in distance to the sensor. For example, at a range greater than 60 meters, the sparsity of lidar pointclo…