activity
20152023
most citedIncorporating GAN for Negative Sampling in Knowledge Representation Learning

31 citations · 68 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CL2023★ 1 cited

Identical and Fraternal Twins: Fine-Grained Semantic Contrastive Learning of Sentence Representations

Qingfa Xiao, Shuangyin Li, Lei Chen

The enhancement of unsupervised learning of sentence representations has been significantly achieved by the utility of contrastive learning. This approach clusters the augmented po…

cs.SE2023★ 13 cited

Neural-FEBI: Accurate Function Identification in Ethereum Virtual Machine Bytecode

Jiahao He, Shuangyin Li, Xinming Wang +3

Millions of smart contracts have been deployed onto the Ethereum platform, posing potential attack subjects. Therefore, analyzing contract binaries is vital since their sources are…

cs.AI2018★ 31 cited

Incorporating GAN for Negative Sampling in Knowledge Representation Learning

Peifeng Wang, Shuangyin Li, Rong pan

Knowledge representation learning aims at modeling knowledge graph by encoding entities and relations into a low dimensional space. Most of the traditional works for knowledge embe…

cs.AI2016★ 22 cited

Personalizing a Dialogue System with Transfer Reinforcement Learning

Kaixiang Mo, Shuangyin Li, Yu Zhang +2

It is difficult to train a personalized task-oriented dialogue system because the data collected from each individual is often insufficient. Personalized dialogue systems trained o…

cs.CL2015★ 1 cited

Tag-Weighted Topic Model For Large-scale Semi-Structured Documents

Shuangyin Li, Jiefei Li, Guan Huang +2

To date, there have been massive Semi-Structured Documents (SSDs) during the evolution of the Internet. These SSDs contain both unstructured features (e.g., plain text) and metadat…