44 citations · 101 across the 9 of their papers we have counts for
9 papers
UnifiedSSR: A Unified Framework of Sequential Search and Recommendation
Jiayi Xie, Shang Liu, Gao Cong +1
In this work, we propose a Unified framework of Sequential Search and Recommendation (UnifiedSSR) for joint learning of user behavior history in both search and recommendation scen…
DarkVision: A Benchmark for Low-light Image/Video Perception
Bo Zhang, Yuchen Guo, Runzhao Yang +4
Imaging and perception in photon-limited scenarios is necessary for various applications, e.g., night surveillance or photography, high-speed photography, and autonomous driving. I…
Hierarchical Transformer with Spatio-Temporal Context Aggregation for Next Point-of-Interest Recommendation
Jiayi Xie, Zhenzhong Chen
Next point-of-interest (POI) recommendation is a critical task in location-based social networks, yet remains challenging due to a high degree of variation and personalization exhi…
Deep Causal Reasoning for Recommendations
Yaochen Zhu, Jing Yi, Jiayi Xie +1
Traditional recommender systems aim to estimate a user's rating to an item based on observed ratings from the population. As with all observational studies, hidden confounders, whi…
Cross-modal Variational Auto-encoder for Content-based Micro-video Background Music Recommendation
Jing Yi, Yaochen Zhu, Jiayi Xie +1
In this paper, we propose a cross-modal variational auto-encoder (CMVAE) for content-based micro-video background music recommendation. CMVAE is a hierarchical Bayesian generative…
Techniques Toward Optimizing Viewability in RTB Ad Campaigns Using Reinforcement Learning
Michael Tashman, John Hoffman, Jiayi Xie +4
Reinforcement learning (RL) is an effective technique for training decision-making agents through interactions with their environment. The advent of deep learning has been associat…
Online and Scalable Model Selection with Multi-Armed Bandits
Jiayi Xie, Michael Tashman, John Hoffman +2
Many online applications running on live traffic are powered by machine learning models, for which training, validation, and hyper-parameter tuning are conducted on historical data…
Dynamic Bidding Strategies with Multivariate Feedback Control for Multiple Goals in Display Advertising
Michael Tashman, Jiayi Xie, John Hoffman +2
Real-Time Bidding (RTB) display advertising is a method for purchasing display advertising inventory in auctions that occur within milliseconds. The performance of RTB campaigns is…
Predicting the Popularity of Micro-videos with Multimodal Variational Encoder-Decoder Framework
Yaochen Zhu, Jiayi Xie, Zhenzhong Chen
As an emerging type of user-generated content, micro-video drastically enriches people's entertainment experiences and social interactions. However, the popularity pattern of an in…