49 citations · 171 across the 43 of their papers we have counts for
9 papers · 1 filter
TTF: A Trapezoidal Temporal Fusion Framework for LTV Forecasting in Douyin
Yibing Wan, Zhengxiong Guan, Chaoli Zhang +5
In the user growth scenario, Internet companies invest heavily in paid acquisition channels to acquire new users. But sustainable growth depends on acquired users' generating lifet…
Optimizing Storage Overhead of User Behavior Log for ML-embedded Mobile Apps
Chen Gong, Yan Zhuang, Zhenzhe Zheng +4
Machine learning (ML) models are increasingly integrated into modern mobile apps to enable personalized and intelligent services. These models typically rely on rich input features…
TSRec: Enhancing Repeat-Aware Recommendation from a Temporal-Sequential Perspective
Shigang Quan, Shui Liu, Zhenzhe Zheng +1
Repeat consumption, such as repurchasing items and relistening songs, is a common scenario in daily life. To model repeat consumption, the repeat-aware recommendation has been prop…
MERIT: A Merchant Incentive Ranking Model for Hotel Search & Ranking
Shigang Quan, Hailong Tan, Shui Liu +5
Online Travel Platforms (OTPs) have been working on improving their hotel Search & Ranking (S&R) systems that facilitate efficient matching between consumers and hotels. Existing O…
A Two-Stage Data Selection Framework for Data-Efficient Model Training on Edge Devices
Chen Gong, Rui Xing, Zhenzhe Zheng +1
The demand for machine learning (ML) model training on edge devices is escalating due to data privacy and personalized service needs. However, we observe that current on-device mod…
HtFLlib: A Comprehensive Heterogeneous Federated Learning Library and Benchmark
Jianqing Zhang, Xinghao Wu, Yanbing Zhou +7
As AI evolves, collaboration among heterogeneous models helps overcome data scarcity by enabling knowledge transfer across institutions and devices. Traditional Federated Learning…
Efficient Distributed Retrieval-Augmented Generation for Enhancing Language Model Performance
Shangyu Liu, Zhenzhe Zheng, Xiaoyao Huang +3
Small language models (SLMs) support efficient deployments on resource-constrained edge devices, but their limited capacity compromises inference performance. Retrieval-augmented g…
Ten Challenging Problems in Federated Foundation Models
Tao Fan, Hanlin Gu, Xuemei Cao +30
Federated Foundation Models (FedFMs) represent a distributed learning paradigm that fuses general competences of foundation models as well as privacy-preserving capabilities of fed…
AdaSkip: Adaptive Sublayer Skipping for Accelerating Long-Context LLM Inference
Zhuomin He, Yizhen Yao, Pengfei Zuo +4
Long-context large language models (LLMs) inference is increasingly critical, motivating a number of studies devoted to alleviating the substantial storage and computational costs…