Search Results for author: Zhengxing Chen

Found 8 papers, 4 papers with code

NASRec: Weight Sharing Neural Architecture Search for Recommender Systems

2 code implementations14 Jul 2022 Tunhou Zhang, Dehua Cheng, Yuchen He, Zhengxing Chen, Xiaoliang Dai, Liang Xiong, Feng Yan, Hai Li, Yiran Chen, Wei Wen

To overcome the data multi-modality and architecture heterogeneity challenges in the recommendation domain, NASRec establishes a large supernet (i. e., search space) to search the full architectures.

Click-Through Rate Prediction Neural Architecture Search +1

Personalized Execution Time Optimization for the Scheduled Jobs

no code implementations11 Mar 2022 Yang Liu, Juan Wang, Zhengxing Chen, Ian Fox, Imani Mufti, Jason Sukumaran, Baokun He, Xiling Sun, Feng Liang

Scheduled batch jobs have been widely used on the asynchronous computing platforms to execute various enterprise applications, including the scheduled notifications and the candidate pre-computation for the modern recommender systems.

Learning-To-Rank Recommendation Systems +1

A Validation Tool for Designing Reinforcement Learning Environments

no code implementations10 Dec 2021 Ruiyang Xu, Zhengxing Chen

Reinforcement learning (RL) has gained increasing attraction in the academia and tech industry with launches to a variety of impactful applications and products.

Offline RL reinforcement-learning +1

Reinforcement Learning-based Product Delivery Frequency Control

no code implementations20 Dec 2020 Yang Liu, Zhengxing Chen, Kittipat Virochsiri, Juan Wang, Jiahao Wu, Feng Liang

We demonstrate statistically significant improvement in daily metrics and resource efficiency by our method in several notification applications at a scale of billions of users.

Recommendation Systems reinforcement-learning +1

Band-limited Soft Actor Critic Model

1 code implementation19 Jun 2020 Miguel Campo, Zhengxing Chen, Luke Kung, Kittipat Virochsiri, Jian-Yu Wang

Soft Actor Critic (SAC) algorithms show remarkable performance in complex simulated environments.

The Art of Drafting: A Team-Oriented Hero Recommendation System for Multiplayer Online Battle Arena Games

no code implementations26 Jun 2018 Zhengxing Chen, Truong-Huy D Nguyen, Yuyu Xu, Chris Amato, Seth Cooper, Yizhou Sun, Magy Seif El-Nasr

The selection of heroes, also known as pick or draft, takes place before the match starts and alternates between the two teams until each player has selected one hero.

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