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CASIA OpenIR
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AI in Human-computer Gaming: Techniques, Challenges and Opportunities 期刊论文
Machine Intelligence Research, 2023, 卷号: 20, 期号: 3, 页码: 299-317
作者:  Qi-Yue Yin;  Jun Yang;  Kai-Qi Huang;  Mei-Jing Zhao;  Wan-Cheng Ni;  Bin Liang;  Yan Huang;  Shu Wu;  Liang Wang
Adobe PDF(2608Kb)  |  收藏  |  浏览/下载：70/18  |  提交时间：2024/04/23
Human-computer gaming, AI, intelligent decision making, deep reinforcement learning, self-play  
Second-Order Global Attention Networks for Graph Classification and Regression 会议论文
, Beijing, China, August 27-28, 2022
作者:  Hu Fenyu;  Cui Zeyu;  Wu Shu;  Liu Qiang;  Wu Jinlin;  Wang Liang;  Tan Tieniu
Adobe PDF(69424Kb)  |  收藏  |  浏览/下载：226/73  |  提交时间：2023/07/06
Dressing as a Whole: Outfit Compatibility Learning Based on Node-wise Graph Neural Networks 会议论文
, San Francisco, CA, USA, 2019-5-12
作者:  Zeyu Cui;  Zekun Li;  Shu Wu;  Xiaoyu Zhang;  Liang Wang
Adobe PDF(3699Kb)  |  收藏  |  浏览/下载：190/33  |  提交时间：2021/06/01
Graph neural networks  Compatibility learning  multi-modal  
Multi-Behavioral Sequential Prediction with Recurrent Log-Bilinear Model 期刊论文
IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, 2017, 卷号: 29, 期号: 6, 页码: 1254-1267
作者:  Liu, Qiang;  Wu, Shu;  Wang, Liang
浏览  |  Adobe PDF(990Kb)  |  收藏  |  浏览/下载：340/110  |  提交时间：2018/01/03
Collaborative Filtering  Sequential Prediction  Multi-behavior  Recurrent Log-bilinear  
Predicting the Next Location: A Recurrent Model with Spatial and Temporal Contexts 会议论文
In Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence (AAAI), 2016, Phoenix, February 12–17
作者:  Liu, Qiang;  Wu, Shu;  Wang, Liang;  Tan, Tieniu
浏览  |  Adobe PDF(688Kb)  |  收藏  |  浏览/下载：1306/572  |  提交时间：2016/10/24
Contextual Information  Recurrent Neural Networks  
Coupled Topic Model for Collaborative Filtering With User-Generated Content 期刊论文
IEEE TRANSACTIONS ON HUMAN-MACHINE SYSTEMS, 2016, 卷号: 46, 期号: 6, 页码: 908-920
作者:  Wu, Shu;  Guo, Weiyu;  Xu, Song;  Huang, Yongzhen;  Wang, Liang;  Tan, Tieniu
浏览  |  Adobe PDF(997Kb)  |  收藏  |  浏览/下载：549/197  |  提交时间：2016/10/24
Collaborative Filtering (Cf)  Recommender Systems (Rs)  Topic Model  User-generated Content (Ugc)