9 citations · 29 across the 6 of their papers we have counts for
6 papers
CoCo: A Coupled Contrastive Framework for Unsupervised Domain Adaptive Graph Classification
Nan Yin, Li Shen, Mengzhu Wang +5
Although graph neural networks (GNNs) have achieved impressive achievements in graph classification, they often need abundant task-specific labels, which could be extensively costl…
Semantic Enhanced Knowledge Graph for Large-Scale Zero-Shot Learning
Jiwei Wei, Yang Yang, Zeyu Ma +3
Zero-Shot Learning has been a highlighted research topic in both vision and language areas. Recently, most existing methods adopt structured knowledge information to model explicit…
TURINGBENCH: A Benchmark Environment for Turing Test in the Age of Neural Text Generation
Adaku Uchendu, Zeyu Ma, Thai Le +2
Recent progress in generative language models has enabled machines to generate astonishingly realistic texts. While there are many legitimate applications of such models, there is…
ARGO: Modeling Heterogeneity in E-commerce Recommendation
Daqing Wu, Xiao Luo, Zeyu Ma +3
Nowadays, E-commerce is increasingly integrated into our daily lives. Meanwhile, shopping process has also changed incrementally from one behavior (purchase) to multiple behaviors…
Deep Unsupervised Hashing by Distilled Smooth Guidance
Xiao Luo, Zeyu Ma, Daqing Wu +4
Hashing has been widely used in approximate nearest neighbor search for its storage and computational efficiency. Deep supervised hashing methods are not widely used because of the…
CIMON: Towards High-quality Hash Codes
Xiao Luo, Daqing Wu, Zeyu Ma +6
Recently, hashing is widely used in approximate nearest neighbor search for its storage and computational efficiency. Most of the unsupervised hashing methods learn to map images i…