402 citations
- Zhejiang UniversityCN32 papers
- Alibaba Group (China)CN18 papers
- Peking UniversityCN13 papers
- Bellevue Hospital CenterUS12 papers
- Chinese Academy of SciencesCN10 papers
- Nanyang Technological UniversitySG10 papers
- Tsinghua UniversityCN8 papers
- Renmin University of ChinaCN7 papers
- Tianjin UniversityCN7 papers
- East China Normal UniversityCN6 papers
- Shanghai Jiao Tong UniversityCN6 papers
- University of Hong KongHK6 papers
8 papers · 1 filter
Dual-View Distilled BERT for Sentence Embedding
Xingyi Cheng
Recently, BERT realized significant progress for sentence matching via word-level cross sentence attention. However, the performance significantly drops when using siamese BERT-net…
Metapaths guided Neighbors aggregated Network for?Heterogeneous Graph Reasoning
Bang Lin, Xiuchong Wang, Yu Dong +3
Most real-world datasets are inherently heterogeneous graphs, which involve a diversity of node and relation types. Heterogeneous graph embedding is to learn the structure and sema…
Price Suggestion for Online Second-hand Items with Texts and Images
Liang Han, Zhaozheng Yin, Zhurong Xia +2
This paper presents an intelligent price suggestion system for online second-hand listings based on their uploaded images and text descriptions. The goal of price prediction is to…
FSPN: A New Class of Probabilistic Graphical Model
Ziniu Wu, Rong Zhu, Andreas Pfadler +5
We introduce factorize sum split product networks (FSPNs), a new class of probabilistic graphical models (PGMs). FSPNs are designed to overcome the drawbacks of existing PGMs in te…
Spending Money Wisely: Online Electronic Coupon Allocation based on Real-Time User Intent Detection
Liangwei Li, Liucheng Sun, Chenwei Weng +2
Online electronic coupon (e-coupon) is becoming a primary tool for e-commerce platforms to attract users to place orders. E-coupons are the digital equivalent of traditional paper…
Temporal-adaptive Hierarchical Reinforcement Learning
Wen-Ji Zhou, Yang Yu
Hierarchical reinforcement learning (HRL) helps address large-scale and sparse reward issues in reinforcement learning. In HRL, the policy model has an inner representation structu…