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Xiaoyu Tang

Publication record assembled from the DBLP archive of ranked conferences.

Papers indexed

12

Venues

10

Active years

2014–2026

Best venue rank

A*

Where they publish

Papers

12 indexed papers, newest first.

YearVenueTitleAuthors
2026ACLAnchoring the Affective Manifold: Learning Canonical and Disentangled Representations via Generative Cross-Modal Alignment.Weibin Li, Jintao Cheng, Xiaoyu Tang, Chi Man Vong
2025IROSKDMOS:Knowledge Distillation for Motion Segmentation.Chunyu Cao, Jintao Cheng, Zeyu Chen, Linfan Zhan, Rui Fan, Zhijian He, Xiaoyu Tang
2025IROSDPGP: A Hybrid 2D-3D Dual Path Potential Ghost Probe Zone Prediction Framework for Safe Autonomous Driving.Weiming Qu, Jiawei Du, Shenghai Yuan, Jia Wang, Yang Sun, Shengyi Liu, Yuanhao Zhu, Jiayi Rao, Jianfeng Yu, Song Cao, Rui Xia, Xiaoyu Tang, Xihong Wu, Dingsheng Luo
2024CHIBeyond the Screen: Gestural Perspective-Taking with a Biochemistry Simulation.Taehyun Kim, Harris Nisar, Robb Lindgren, Jiahao Zhang, Xiaoyu Tang, Matthew Lira, Aishwari Talhan
2024ICRAMF-MOS: A Motion-Focused Model for Moving Object Segmentation.Jintao Cheng, Kang Zeng, Zhuoxu Huang, Xiaoyu Tang, Jin Wu, Chengxi Zhang, Xieyuanli Chen, Rui Fan
2021ICRASemantic Reinforced Attention Learning for Visual Place Recognition.Guohao Peng, Yufeng Yue, Jun Zhang, Zhenyu Wu, Xiaoyu Tang, Danwei Wang
2017ICONIPMixed Installation to Optimize the Position and Type Selection of Turbines for Wind Farms.Xiaoyu Tang, Yun Shen, Siliang Li, Qinmin Yang, Youxian Sun
2015IUILearning Higher-Order Interactions for User and Item Profiling Based on Tensor Factorization.Xiaoyu Tang, Yue Xu, Shlomo Geva
2014ADCSTensor Reduction for User Profiling in Personalized Recommender Systems.Xiaoyu Tang, Yue Xu, Shlomo Geva
2014ADMAA Reputation-Enhanced Recommender System.Ahmad Abdel-Hafez, Xiaoyu Tang, Nan Tian, Yue Xu
2014AusDMA Multidimensional Collaborative Filtering Fusion Approach with Dimensionality Reduction.Xiaoyu Tang, Yue Xu, Ahmad Abdel-Hafez, Shlomo Geva
2014IIWASRefining User and Item Profiles based on Multidimensional Data for Top-N Item Recommendation.Xiaoyu Tang, Yue Xu, Shlomo Geva