Search Results for author: Haiyong Xie

Found 9 papers, 3 papers with code

Spatiotemporal and Semantic Zero-inflated Urban Anomaly Prediction

no code implementations4 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.

Crime Prediction STS

UniRel: Unified Representation and Interaction for Joint Relational Triple Extraction

1 code implementation16 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.

Relation Extraction

Celeritas: Fast Optimizer for Large Dataflow Graphs

no code implementations30 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.


Towards User-Centered Metrics for Trustworthy AI in Immersive Cyberspace

no code implementations22 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.


Time-aware Path Reasoning on Knowledge Graph for Recommendation

1 code implementation5 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.

Explainable Recommendation Relation Extraction

Dual Adversarial Semantics-Consistent Network for Generalized Zero-Shot Learning

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.

Generalized Zero-Shot Learning Transfer Learning

Joint Modeling of Dense and Incomplete Trajectories for Citywide Traffic Volume Inference

no code implementations25 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.

Graph Embedding

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