no code implementations • Findings (EMNLP) 2021 • Xiao Liu, Juan Hu, Qi Shen, Huan Chen
Finally, we train a BERT-like pre-training model with text and POIs’ graph embeddings to get an integrated representation of both geographic and semantic information, and apply it in the QR of POI search.
no code implementations • 15 May 2024 • Weifei Jin, Yuxin Cao, Junjie Su, Qi Shen, Kai Ye, Derui Wang, Jie Hao, Ziyao Liu
In this paper, we propose an attack on ASR systems based on user-customized style transfer.
no code implementations • 27 Oct 2023 • Shixuan Zhu, Chuan Cui, JunTong Hu, Qi Shen, Yu Ji, Zhihua Wei
Bundle generation aims to provide a bundle of items for the user, and has been widely studied and applied on online service platforms.
no code implementations • 20 Oct 2023 • Yu Ji, Qi Shen, Shixuan Zhu, Hang Yu, Yiming Zhang, Chuan Cui, Zhihua Wei
Therefore, we propose a novel conversational recommendation scenario named Multi-Subsession Multi-round Conversational Recommendation (MSMCR), where user would still resort to CRS after several subsessions and might preserve vague interests, and system would proactively ask attributes to activate user interests in the current subsession.
no code implementations • 26 Aug 2023 • Zichen Yuan, Qi Shen, Bingyi Zheng, YuTing Liu, Linying Jiang, Guibing Guo
Cross-modal retrieval has become popular in recent years, particularly with the rise of multimedia.
no code implementations • 19 Oct 2022 • Shixuan Zhu, Qi Shen, Yiming Zhang, Zhenwei Dong, Zhihua Wei
In this paper, we propose a novel graph learning paradigm called Counterfactual Learning for Bundle Recommendation (CLBR) to mitigate the impact of data sparsity problem and improve bundle recommendation.
1 code implementation • 31 Dec 2021 • Chuan Cui, Qi Shen, Shixuan Zhu, Yitong Pang, Yiming Zhang, Hanning Gao, Zhihua Wei
Session-based recommendation (SBR) is proposed to recommend items within short sessions given that user profiles are invisible in various scenarios nowadays, such as e-commerce and short video recommendation.
no code implementations • 31 Dec 2021 • Qi Shen, Shixuan Zhu, Yitong Pang, Yiming Zhang, Zhihua Wei
Session-based recommendation (SBR) is a challenging task, which aims at recommending next items based on anonymous interaction sequences.
1 code implementation • 22 Dec 2021 • Yiming Zhang, Lingfei Wu, Qi Shen, Yitong Pang, Zhihua Wei, Fangli Xu, Bo Long, Jian Pei
As a result, we first propose a more realistic CRS learning setting, namely Multi-Interest Multi-round Conversational Recommendation, where users may have multiple interests in attribute instance combinations and accept multiple items with partially overlapped combinations of attribute instances.
no code implementations • 24 Sep 2021 • Qi Shen, Lingfei Wu, Yitong Pang, Yiming Zhang, Zhihua Wei, Fangli Xu, Bo Long
Based on the global graph, MGCNet attaches the global interest representation to final item representation based on local contextual intention to address the limitation (iii).
no code implementations • 24 Sep 2021 • Yiming Zhang, Lingfei Wu, Qi Shen, Yitong Pang, Zhihua Wei, Fangli Xu, Ethan Chang, Bo Long
In this work, we propose an end-to-end heterogeneous global graph learning framework, namely Graph Learning Augmented Heterogeneous Graph Neural Network (GL-HGNN) for social recommendation.
1 code implementation • 8 Jul 2021 • Yitong Pang, Lingfei Wu, Qi Shen, Yiming Zhang, Zhihua Wei, Fangli Xu, Ethan Chang, Bo Long, Jian Pei
Additionally, existing personalized session-based recommenders capture user preference only based on the sessions of the current user, but ignore the useful item-transition patterns from other user's historical sessions.
no code implementations • 13 Oct 2020 • Qi Shen, Shengjie Zhao, Rongqing Zhang, Bin Zhang
The drowsiness detection system is trained and evaluated on the famous Nation Tsing Hua University Driver Drowsiness Detection (NTHU-DDD) dataset and we obtain an accuracy of 94. 46%, which outperforms most existing fatigue detection models.
no code implementations • 13 Jan 2018 • Sheng-Kai Liao, Wen-Qi Cai, Johannes Handsteiner, Bo Liu, Juan Yin, Liang Zhang, Dominik Rauch, Matthias Fink, Ji-Gang Ren, Wei-Yue Liu, Yang Li, Qi Shen, Yuan Cao, Feng-Zhi Li, Jian-Feng Wang, Yong-Mei Huang, Lei Deng, Tao Xi, Lu Ma, Tai Hu, Li Li, Nai-Le Liu, Franz Koidl, Peiyuan Wang, Yu-Ao Chen, Xiang-Bin Wang, Michael Steindorfer, Georg Kirchner, Chao-Yang Lu, Rong Shu, Rupert Ursin, Thomas Scheidl, Cheng-Zhi Peng, Jian-Yu Wang, Anton Zeilinger, Jian-Wei Pan
This was on the one hand the transmission of images in a one-time pad configuration from China to Austria as well as from Austria to China.
Quantum Physics