Meta Lattice: Model Space Redesign for Cost-Effective Industry-Scale Ads Recommendations

Liang Luo, Yuxin Chen, Zhengyu Zhang +39

Optimal Client Sampling for Federated Learning

Wenlin Chen, Samuel Horvath, Peter Richtarik

SOLARIS: Speculative Offloading of Latent-bAsed Representation for Inference Scaling

Zikun Liu, Liang Luo, Qianru Li +31

Multi-Scale Convolutional Neural Networks for Time Series Classification

Zhicheng Cui, Wenlin Chen, Yixin Chen

DiffRatio: Training One-Step Diffusion Models Without Teacher Supervision

Wenlin Chen, Mingtian Zhang, Jiajun He +4

The Decoding Success Probability of Sparse Random Linear Network Coding for Multicast

Wenlin Chen, Fang Lu, Yan Dong

GR2 Technical Report

Yufei Li, Zaiwei Zhang, Mingfu Liang +67

Training Neural Samplers with Reverse Diffusive KL Divergence

Jiajun He, Wenlin Chen, Mingtian Zhang +2

Compressing Neural Networks with the Hashing Trick

Wenlin Chen, James T. Wilson, Stephen Tyree +2

Your Image is Secretly the Last Frame of a Pseudo Video

Wenlong Chen, Wenlin Chen, Lapo Rastrelli +1

GR2: Generative Reasoning Re-ranker

Mingfu Liang, Yufei Li, Jay Xu +20

LoKA: Low-precision Kernel Applications for Recommendation Models At Scale

Liang Luo, Yinbin Ma, Quanyu Zhu +21

Confucius Code Agent: Scalable Agent Scaffolding for Real-World Codebases

Sherman Wong, Zhenting Qi, Zhaodong Wang +8

Wukong: Towards a Scaling Law for Large-Scale Recommendation

Buyun Zhang, Liang Luo, Yuxin Chen +12

Kunlun: Establishing Scaling Laws for Massive-Scale Recommendation Systems through Unified Architecture Design

Bojian Hou, Xiaolong Liu, Xiaoyi Liu +26

Diffusive Gibbs Sampling

Wenlin Chen, Mingtian Zhang, Brooks Paige +2

To Ensemble or Not Ensemble: When does End-To-End Training Fail?

Andrew M. Webb, Charles Reynolds, Wenlin Chen +4

Neural Characteristic Activation Analysis and Geometric Parameterization for ReLU Networks

Wenlin Chen, Hong Ge

Leveraging Task Structures for Improved Identifiability in Neural Network Representations

Wenlin Chen, Julien Horwood, Juyeon Heo +1

Dynamics, Structure and Glass Formation of Calcium Aluminate Liquids

Hao Liu, Ruikun Pan, Wenlin Chen +9

Progressive Tempering Sampler with Diffusion

Severi Rissanen, RuiKang OuYang, Jiajun He +4

Towards the Better Ranking Consistency: A Multi-task Learning Framework for Early Stage Ads Ranking

Xuewei Wang, Qiang Jin, Shengyu Huang +10

LoopFM: Learning frOm HistOrical RePresentations of Foundation Model for Recommendation

Shali Jiang, Hua Zheng, Boyang Liu +40

ROCS: Request-Oriented Compute Sharing for Efficient Large-Scale Recommendation

Yuxin Chen, Liang Luo, Buyun Zhang +44

The paper introduces ROCS, a request-oriented compute sharing framework that restructures recommendation inference to evaluate shared request features once per request rather than…

BridgeDrive: Diffusion Bridge Policy for Closed-Loop Trajectory Planning in Autonomous Driving

Shu Liu, Wenlin Chen, Weihao Li +7

Meta-learning Adaptive Deep Kernel Gaussian Processes for Molecular Property Prediction

Wenlin Chen, Austin Tripp, José Miguel Hernández-Lobato

External Large Foundation Model: How to Efficiently Serve Trillions of Parameters for Online Ads Recommendation

Mingfu Liang, Xi Liu, Rong Jin +104

A Reduction of the Elastic Net to Support Vector Machines with an Application to GPU Computing

Quan Zhou, Wenlin Chen, Shiji Song +3

Compressing Convolutional Neural Networks

Wenlin Chen, James T. Wilson, Stephen Tyree +2

It HAS to be Subjective: Human Annotator Simulation via Zero-shot Density Estimation

Wen Wu, Wenlin Chen, Chao Zhang +1

Deep Learning Recommendation Model for Personalization and Recommendation Systems

Maxim Naumov, Dheevatsa Mudigere, Hao-Jun Michael Shi +21