Yaochen Hu

According to our database, Yaochen Hu authored at least 17 papers between 2014 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Preference and Concurrence Aware Bayesian Graph Neural Networks for Recommender Systems.

Hongjian Gu, Yaochen Hu, Yingxue Zhang

CoRR, 2023

Towards Automated Negative Sampling in Implicit Recommendation.

Fuyuan Lyu, Yaochen Hu, Xing Tang, Yingxue Zhang, Ruiming Tang, Xue Liu

CoRR, 2023

Compressed Interaction Graph based Framework for Multi-behavior Recommendation.

Wei Guo, Chang Meng, Enming Yuan, Zhicheng He, Huifeng Guo, Yingxue Zhang, Bo Chen, Yaochen Hu, Ruiming Tang, Xiu Li, Rui Zhang

Proceedings of the ACM Web Conference 2023, 2023

Neural Graph Generation from Graph Statistics.

Kiarash Zahirnia, Yaochen Hu, Mark Coates, Oliver Schulte

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

A Survey on User Behavior Modeling in Recommender Systems.

Zhicheng He, Weiwen Liu, Wei Guo, Jiarui Qin, Yingxue Zhang, Yaochen Hu, Ruiming Tang

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

2022

EFLEC: Efficient Feature-LEakage Correction in GNN based Recommendation Systems.

Ishaan Kumar, Yaochen Hu, Yingxue Zhang

Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Dual Path Graph Convolutional Networks.

Yunhe Li, Yaochen Hu, Yingxue Zhang

Proceedings of the IEEE International Conference on Acoustics, 2022

2021

Graph Representation Learning via Adversarial Variational Bayes.

Yunhe Li, Yaochen Hu, Yingxue Zhang

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

2020

A Framework for Recommending Accurate and Diverse Items Using Bayesian Graph Convolutional Neural Networks.

Jianing Sun, Wei Guo, Dengcheng Zhang, Yingxue Zhang, Florence Regol, Yaochen Hu, Huifeng Guo, Ruiming Tang, Han Yuan, Xiuqiang He, Mark Coates

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

2019

Learning Privately over Distributed Features: An ADMM Sharing Approach.

Yaochen Hu, Peng Liu, Linglong Kong, Di Niu

CoRR, 2019

FDML: A Collaborative Machine Learning Framework for Distributed Features.

Yaochen Hu, Di Niu, Jianming Yang, Shengping Zhou

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

2018

Stochastic Distributed Optimization for Machine Learning from Decentralized Features.

Yaochen Hu, Di Niu, Jianming Yang

CoRR, 2018

A Fast Linear Computational Framework for User Action Prediction in Tencent MyApp.

Yaochen Hu, Di Niu, Jianming Yang

Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

2017

Latency reduction and load balancing in coded storage systems.

Yaochen Hu, Yushi Wang, Bang Liu, Di Niu, Cheng Huang

Proceedings of the 2017 Symposium on Cloud Computing, SoCC 2017, Santa Clara, CA, USA, 2017

2016

A Geometric Approach to Server Selection for Interactive Video Streaming.

Yaochen Hu, Di Niu, Zongpeng Li

IEEE Trans. Multim., 2016

Reducing access latency in erasure coded cloud storage with local block migration.

Yaochen Hu, Di Niu

Proceedings of the 35th Annual IEEE International Conference on Computer Communications, 2016

2014

Server Selection and Topology Control for Multi-Party Video Conferences.

Shuopeng Zhang, Di Niu, Yaochen Hu, Fangming Liu

Proceedings of the 24th ACM Workshop on Network and Operating Systems Support for Digital Audio and Video, 2014