<?xml version="1.0" encoding="UTF-8"?><xml><records><record><source-app name="Biblio" version="7.x">Drupal-Biblio</source-app><ref-type>47</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Gao, Xin</style></author><author><style face="normal" font="default" size="100%">Lin, Yang</style></author><author><style face="normal" font="default" size="100%">Li, Ruiqing</style></author><author><style face="normal" font="default" size="100%">Wang, Yasha</style></author><author><style face="normal" font="default" size="100%">Chu, Xu</style></author><author><style face="normal" font="default" size="100%">Ma, Xinyu</style></author><author><style face="normal" font="default" size="100%">Yu, Hailong</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">Enhancing Topic Interpretability for Neural Topic Modeling Through Topic-Wise Contrastive Learning</style></title><secondary-title><style face="normal" font="default" size="100%">2024 IEEE 40th International Conference on Data Engineering (ICDE 2024)</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2024</style></year></dates><language><style face="normal" font="default" size="100%">eng</style></language></record></records></xml>