88 citations · 112 across the 8 of their papers we have counts for
8 papers
Identifiability Matters: Revealing the Hidden Recoverable Condition in Unbiased Learning to Rank
Mouxiang Chen, Chenghao Liu, Zemin Liu +2
Unbiased Learning to Rank (ULTR) aims to train unbiased ranking models from biased click logs, by explicitly modeling a generation process for user behavior and fitting click data…
Learning Transferrable Parameters for Long-tailed Sequential User Behavior Modeling
Jianwen Yin, Chenghao Liu, Weiqing Wang +2
Sequential user behavior modeling plays a crucial role in online user-oriented services, such as product purchasing, news feed consumption, and online advertising. The performance…
MCEN: Bridging Cross-Modal Gap between Cooking Recipes and Dish Images with Latent Variable Model
Han Fu, Rui Wu, Chenghao Liu +1
Nowadays, driven by the increasing concern on diet and health, food computing has attracted enormous attention from both industry and research community. One of the most popular re…
A Machine Learning Framework for Data Ingestion in Document Images
Han Fu, Yunyu Bai, Zhuo Li +2
Paper documents are widely used as an irreplaceable channel of information in many fields, especially in financial industry, fostering a great amount of demand for systems which ca…
Reference Network for Neural Machine Translation
Han Fu, Chenghao Liu, Jianling Sun
Neural Machine Translation (NMT) has achieved notable success in recent years. Such a framework usually generates translations in isolation. In contrast, human translators often re…
Compositional Coding for Collaborative Filtering
Chenghao Liu, Tao Lu, Xin Wang +3
Efficiency is crucial to the online recommender systems. Representing users and items as binary vectors for Collaborative Filtering (CF) can achieve fast user-item affinity computa…
Online Bayesian Collaborative Topic Regression
Chenghao Liu, Tao Jin, Steven C. H. Hoi +2
Collaborative Topic Regression (CTR) combines ideas of probabilistic matrix factorization (PMF) and topic modeling (e.g., LDA) for recommender systems, which has gained increasing…
Fashionably Late? Building up the Milky Way's Inner Halo
H. L. Morrison, A. Helmi, J. Sun +9
Using a sample of 248 metal-poor stars (RR Lyraes, red giants and RHB stars) which is remarkable for the accuracy of its 6-D kinematical data, we find a new component for the local…