activity
20172022
most citedNASRec: Weight Sharing Neural Architecture Search for Recommender Systems

18 citations · 48 across the 9 of their papers we have counts for

collaborators

10 papers

cs.IR2022★ 18 cited

NASRec: Weight Sharing Neural Architecture Search for Recommender Systems

Tunhou Zhang, Dehua Cheng, Yuchen He +7

The rise of deep neural networks offers new opportunities in optimizing recommender systems. However, optimizing recommender systems using deep neural networks requires delicate ar…

cs.LG2022

Personalized Execution Time Optimization for Billion-Scale Scheduled Jobs

Yang Liu, Juan Wang, Idris Malik +7

Scheduled batch jobs are widely used on asynchronous computing platforms to execute enterprise applications such as promotional notifications and candidate pre-computation for reco…

cs.LG2021

A Validation Tool for Designing Reinforcement Learning Environments

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. Although research…

cs.LG2020

Reinforcement Learning-based Product Delivery Frequency Control

Yang Liu, Zhengxing Chen, Kittipat Virochsiri +3

Frequency control is an important problem in modern recommender systems. It dictates the delivery frequency of recommendations to maintain product quality and efficiency. For examp…

cs.LG2020★ 4 cited

Band-limited Soft Actor Critic Model

Miguel Campo, Zhengxing Chen, Luke Kung +2

Soft Actor Critic (SAC) algorithms show remarkable performance in complex simulated environments. A key element of SAC networks is entropy regularization, which prevents the SAC ac…

cs.AI2018★ 10 cited

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

Zhengxing Chen, Truong-Huy D Nguyen, Yuyu Xu +4

Multiplayer Online Battle Arena (MOBA) games have received increasing popularity recently. In a match of such games, players compete in two teams of five, each controlling an in-ga…

cs.AI2018★ 4 cited

Q-DeckRec: A Fast Deck Recommendation System for Collectible Card Games

Zhengxing Chen, Chris Amato, Truong-Huy Nguyen +3

Deck building is a crucial component in playing Collectible Card Games (CCGs). The goal of deck building is to choose a fixed-sized subset of cards from a large card pool, so that…

cs.SI2018★ 6 cited

Modeling Game Avatar Synergy and Opposition through Embedding in Multiplayer Online Battle Arena Games

Zhengxing Chen, Yuyu Xu, Truong-Huy D. Nguyen +2

Multiplayer Online Battle Arena (MOBA) games have received increasing worldwide popularity recently. In such games, players compete in teams against each other by controlling selec…

cs.SI2017★ 6 cited

EOMM: An Engagement Optimized Matchmaking Framework

Zhengxing Chen, Su Xue, John Kolen +4

Matchmaking connects multiple players to participate in online player-versus-player games. Current matchmaking systems depend on a single core strategy: create fair games at all ti…

cs.SI2017

Player Skill Decomposition in Multiplayer Online Battle Arenas

Zhengxing Chen, Yizhou Sun, Magy Seif El-nasr +1

Successful analysis of player skills in video games has important impacts on the process of enhancing player experience without undermining their continuous skill development. More…