HCGR: Hyperbolic Contrastive Graph Representation Learning for Session-based Recommendation. - Naicheng Guo; Xiaolei Liu; Shaoshuai Li; Qiongxu Ma; Yunan Zhao; Bing Han 017; Lin Zheng 003; Kai-Xin Gao; Xiaobo Guo (CoRR, 2021)

MHSCNet: A Multimodal Hierarchical Shot-aware Convolutional Network for Video Summarization. - Wujiang Xu; Shaoshuai Li; Qiongxu Ma; Yunan Zhao; Sheng Guo 005; Xiaobo Guo; Bing Han; Junchi Yan; Yifei Xu (CoRR, 2022)

Poincaré Heterogeneous Graph Neural Networks for Sequential Recommendation. - Naicheng Guo; Xiaolei Liu; Shaoshuai Li; Qiongxu Ma; Kai-Xin Gao; Bing Han 017; Lin Zheng 003; Xiaobo Guo (CoRR, 2022)

MHSCNET: A Multimodal Hierarchical Shot-Aware Convolutional Network for Video Summarization. - Wujiang Xu; Runzhong Wang; Xiaobo Guo; Shaoshuai Li; Qiongxu Ma; Yunan Zhao; Sheng Guo 005; Zhenfeng Zhu; Junchi Yan (ICASSP, 2023)

Neural Node Matching for Multi-Target Cross Domain Recommendation. - Wujiang Xu; Shaoshuai Li; Mingming Ha; Xiaobo Guo; Qiongxu Ma; Xiaolei Liu; Linxun Chen; Zhenfeng Zhu (ICDE, 2023)

Task Aware Feature Extraction Framework for Sequential Dependence Multi-Task Learning. - Xuewen Tao; Mingming Ha; Qiongxu Ma; Hongwei Cheng; Wenfang Lin; Xiaobo Guo; Linxun Chen; Bing Han 017 (RecSys, 2023)

Adaptive Pattern Extraction Multi-Task Learning for Multi-Step Conversion Estimations. - Xuewen Tao; Mingming Ha; Xiaobo Guo; Qiongxu Ma; Hongwei Cheng; Wenfang Lin (CoRR, 2023)

Poincaré Heterogeneous Graph Neural Networks for Sequential Recommendation. - Naicheng Guo; Xiaolei Liu; Shaoshuai Li; Qiongxu Ma; Kaixin Gao; Bing Han 017; Lin Zheng 003; Sheng Guo 005; Xiaobo Guo (ACM Trans. Inf. Syst., 2023)

Disentangled Representations Learning for Multi-target Cross-domain Recommendation. - Xiaobo Guo; Shaoshuai Li; Naicheng Guo; Jiangxia Cao; Xiaolei Liu; Qiongxu Ma; Runsheng Gan; Yunan Zhao (ACM Trans. Inf. Syst., 2023)

Fine-Grained Dynamic Framework for Bias-Variance Joint Optimization on Data Missing Not at Random. - Mingming Ha; Taoxuewen; Wenfang Lin; Qiongxu Ma; Wujiang Xu; Linxun Chen (NeurIPS, 2024)

Towards Open-World Cross-Domain Sequential Recommendation: A Model-Agnostic Contrastive Denoising Approach. - Wujiang Xu; Xuying Ning; Wenfang Lin; Mingming Ha; Qiongxu Ma; Qianqiao Liang; Xuewen Tao; Linxun Chen; Bing Han; Minnan Luo (ECML/PKDD (1), 2024)

Rethinking Cross-Domain Sequential Recommendation under Open-World Assumptions. - Wujiang Xu; Qitian Wu; Runzhong Wang; Mingming Ha; Qiongxu Ma; Linxun Chen; Bing Han 023; Junchi Yan (WWW, 2024)

Fine-Grained Dynamic Framework for Bias-Variance Joint Optimization on Data Missing Not at Random. - Mingming Ha; Xuewen Tao; Wenfang Lin; Qiongxu Ma; Wujiang Xu; Linxun Chen (CoRR, 2024)

Information Maximization via Variational Autoencoders for Cross-Domain Recommendation. - Xuying Ning; Wujiang Xu; Xiaolei Liu; Mingming Ha; Qiongxu Ma; Youru Li; Linxun Chen; Yongfeng Zhang (CoRR, 2024)