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Yaochen Hu 0001
Person information
- affiliation: Huawei Noah's Ark Lab Montreal Research Center, Canada
- affiliation: University of Montreal, Montreal, QC, Canada
Other persons with the same name
- Yaochen Hu 0002 — Hunan University, Changsha, China
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2020 – today
- 2023
- [c12]Zhicheng He, Weiwen Liu, Wei Guo, Jiarui Qin, Yingxue Zhang, Yaochen Hu, Ruiming Tang:
A Survey on User Behavior Modeling in Recommender Systems. IJCAI 2023: 6656-6664 - [c11]Kiarash Zahirnia, Yaochen Hu, Mark Coates, Oliver Schulte:
Neural Graph Generation from Graph Statistics. NeurIPS 2023 - [c10]Wei Guo, Chang Meng, Enming Yuan, Zhicheng He, Huifeng Guo, Yingxue Zhang, Bo Chen, Yaochen Hu, Ruiming Tang, Xiu Li, Rui Zhang:
Compressed Interaction Graph based Framework for Multi-behavior Recommendation. WWW 2023: 960-970 - [i6]Zhicheng He, Weiwen Liu, Wei Guo, Jiarui Qin, Yingxue Zhang, Yaochen Hu, Ruiming Tang:
A Survey on User Behavior Modeling in Recommender Systems. CoRR abs/2302.11087 (2023) - [i5]Wei Guo, Chang Meng, Enming Yuan, Zhicheng He, Huifeng Guo, Yingxue Zhang, Bo Chen, Yaochen Hu, Ruiming Tang, Xiu Li, Rui Zhang:
Compressed Interaction Graph based Framework for Multi-behavior Recommendation. CoRR abs/2303.02418 (2023) - [i4]Fuyuan Lyu, Yaochen Hu, Xing Tang, Yingxue Zhang, Ruiming Tang, Xue Liu:
Towards Automated Negative Sampling in Implicit Recommendation. CoRR abs/2311.03526 (2023) - [i3]Hongjian Gu, Yaochen Hu, Yingxue Zhang:
Preference and Concurrence Aware Bayesian Graph Neural Networks for Recommender Systems. CoRR abs/2312.11486 (2023) - 2022
- [c9]Yunhe Li, Yaochen Hu, Yingxue Zhang:
Dual Path Graph Convolutional Networks. ICASSP 2022: 5563-5567 - [c8]Ishaan Kumar, Yaochen Hu, Yingxue Zhang:
EFLEC: Efficient Feature-LEakage Correction in GNN based Recommendation Systems. SIGIR 2022: 1885-1889 - 2021
- [c7]Yunhe Li, Yaochen Hu, Yingxue Zhang:
Graph Representation Learning via Adversarial Variational Bayes. CIKM 2021: 3237-3241 - 2020
- [c6]Jianing Sun, Wei Guo, Dengcheng Zhang, Yingxue Zhang, Florence Regol, Yaochen Hu, Huifeng Guo, Ruiming Tang, Han Yuan, Xiuqiang He, Mark Coates:
A Framework for Recommending Accurate and Diverse Items Using Bayesian Graph Convolutional Neural Networks. KDD 2020: 2030-2039
2010 – 2019
- 2019
- [c5]Yaochen Hu, Di Niu, Jianming Yang, Shengping Zhou:
FDML: A Collaborative Machine Learning Framework for Distributed Features. KDD 2019: 2232-2240 - [i2]Yaochen Hu, Peng Liu, Linglong Kong, Di Niu:
Learning Privately over Distributed Features: An ADMM Sharing Approach. CoRR abs/1907.07735 (2019) - 2018
- [c4]Yaochen Hu, Di Niu, Jianming Yang:
A Fast Linear Computational Framework for User Action Prediction in Tencent MyApp. CIKM 2018: 2047-2055 - [i1]Yaochen Hu, Di Niu, Jianming Yang:
Stochastic Distributed Optimization for Machine Learning from Decentralized Features. CoRR abs/1812.06415 (2018) - 2017
- [c3]Yaochen Hu, Yushi Wang, Bang Liu, Di Niu, Cheng Huang:
Latency reduction and load balancing in coded storage systems. SoCC 2017: 365-377 - 2016
- [j1]Yaochen Hu, Di Niu, Zongpeng Li:
A Geometric Approach to Server Selection for Interactive Video Streaming. IEEE Trans. Multim. 18(5): 840-851 (2016) - [c2]Yaochen Hu, Di Niu:
Reducing access latency in erasure coded cloud storage with local block migration. INFOCOM 2016: 1-9 - 2014
- [c1]Shuopeng Zhang, Di Niu, Yaochen Hu, Fangming Liu:
Server Selection and Topology Control for Multi-Party Video Conferences. NOSSDAV 2014: 43
Coauthor Index
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