no code implementations • 4 Apr 2023 • Yao Lu, Pengyuan Zhou, Yong Liao, Haiyong Xie
Urban anomaly predictions, such as traffic accident prediction and crime prediction, are of vital importance to smart city security and maintenance.
no code implementations • 17 Mar 2023 • Haoran Li, Pengyuan Zhou, Yihang Lin, Yanbin Hao, Haiyong Xie, Yong Liao
Video prediction is a complex time-series forecasting task with great potential in many use cases.
1 code implementation • 16 Nov 2022 • Wei Tang, Benfeng Xu, Yuyue Zhao, Zhendong Mao, Yifeng Liu, Yong Liao, Haiyong Xie
Relational triple extraction is challenging for its difficulty in capturing rich correlations between entities and relations.
Ranked #1 on Relation Extraction on WebNLG
no code implementations • 30 Jul 2022 • Hengwei Xu, Yong Liao, Haiyong Xie, Pengyuan Zhou
The rapidly enlarging neural network models are becoming increasingly challenging to run on a single device.
1 code implementation • 14 Jun 2022 • Yingguang Yang, Renyu Yang, Yangyang Li, Kai Cui, Zhiqin Yang, Yue Wang, Jie Xu, Haiyong Xie
More specifically, we consider the social bot detection problem as a user-centric subgraph embedding and classification task.
no code implementations • 22 Feb 2022 • Pengyuan Zhou, Benjamin Finley, Lik-Hang Lee, Yong Liao, Haiyong Xie, Pan Hui
AI plays a key role in current cyberspace and future immersive ecosystems that pinpoint user experiences.
1 code implementation • 5 Aug 2021 • Yuyue Zhao, Xiang Wang, Jiawei Chen, Yashen Wang, Wei Tang, Xiangnan He, Haiyong Xie
In this work, we propose a novel Time-aware Path reasoning for Recommendation (TPRec for short) method, which leverages the potential of temporal information to offer better recommendation with plausible explanations.
no code implementations • NeurIPS 2019 • Jian Ni, Shanghang Zhang, Haiyong Xie
In particular, the primal GAN learns to synthesize inter-class discriminative and semantics-preserving visual features from both the semantic representations of seen/unseen classes and the ones reconstructed by the dual GAN.
no code implementations • 25 Feb 2019 • Xianfeng Tang, Boqing Gong, Yanwei Yu, Huaxiu Yao, Yandong Li, Haiyong Xie, Xiaoyu Wang
In this paper, we propose a novel framework for the citywide traffic volume inference using both dense GPS trajectories and incomplete trajectories captured by camera surveillance systems.