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ORCIDHao Xue 0001
Person information
- affiliation: RMIT University, School of Computing Technologies, Melbourne, Australia
- affiliation (former): University of Western Australia, Department of Computer Science and Software Engineering, Perth, WA, Australia
- affiliation (former): Harbin Institute of Technology, Communication Research Centre, China
Other persons with the same name
- Hao Xue — disambiguation page
- Hao Xue 0002 — University of Kansas, Lawrence, KS, USA
- Hao Xue 0003
![[0000-0001-9911-0506]](https://dblp1.uni-trier.de/img/orcid-mark.12x12.png "0000-0001-9911-0506")
— Shanghai Jiao Tong University, Antai College of Economics and Management, China - Hao Xue 0004 — CNOOC International Ltd., Beijing, China
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2020 – today
- 2024
[j6]Yonchanok Khaokaew, Hao Xue, Flora D. Salim:
MAPLE: Mobile App Prediction Leveraging Large Language Model Embeddings. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 8(1): 10:1-10:25 (2024)- [i27]Ruiyi Yang, Flora D. Salim, Hao Xue:
SSTKG: Simple Spatio-Temporal Knowledge Graph for Intepretable and Versatile Dynamic Information Embedding. CoRR abs/2402.12132 (2024) - 2023
- [c23]Hao Xue, Flora D. Salim:
Artificial General Intelligence for Human Mobility (Vision Paper). SIGSPATIAL/GIS 2023: 102:1-102:4 - [c22]Yonchanok Khaokaew, Flora D. Salim, Hao Xue:
Understanding Mobile Information Needs and Behaviours. UbiComp/ISWC Adjunct 2023: 210-214 - [c21]Arian Prabowo, Wei Shao, Hao Xue, Piotr Koniusz, Flora D. Salim:
Because Every Sensor Is Unique, so Is Every Pair: Handling Dynamicity in Traffic Forecasting. IoTDI 2023: 93-104 - [c20]Jason Liu, Shohreh Deldari, Hao Xue, Van Nguyen, Flora D. Salim:
Self-supervised Activity Representation Learning with Incremental Data: An Empirical Study. MDM 2023: 39-44 - [c19]Arian Prabowo, Kaixuan Chen, Hao Xue, Subbu Sethuvenkatraman, Flora D. Salim:
Continually Learning Out-of-Distribution Spatiotemporal Data for Robust Energy Forecasting. ECML/PKDD (7) 2023: 3-19 - [c18]Arian Prabowo, Kaixuan Chen, Hao Xue, Subbu Sethuvenkatraman, Flora D. Salim:
Navigating Out-of-Distribution Electricity Load Forecasting during COVID-19: Benchmarking energy load forecasting models without and with continual learning. BuildSys@SenSys 2023: 41-50 - [c17]Hao Xue, Flora D. Salim:
Utilizing Language Models for Energy Load Forecasting. BuildSys@SenSys 2023: 224-227 - [i26]Arian Prabowo, Wei Shao, Hao Xue, Piotr Koniusz, Flora D. Salim:
Because Every Sensor Is Unique, so Is Every Pair: Handling Dynamicity in Traffic Forecasting. CoRR abs/2302.09956 (2023) - [i25]Renhao Huang, Hao Xue, Maurice Pagnucco, Flora D. Salim, Yang Song:
Multimodal Trajectory Prediction: A Survey. CoRR abs/2302.10463 (2023) - [i24]Jason Liu, Shohreh Deldari, Hao Xue, Van Nguyen, Flora D. Salim:
Self-supervised Activity Representation Learning with Incremental Data: An Empirical Study. CoRR abs/2305.00619 (2023) - [i23]Arian Prabowo, Wei Shao, Hao Xue, Piotr Koniusz, Flora D. Salim:
Traffic Forecasting on New Roads Unseen in the Training Data Using Spatial Contrastive Pre-Training. CoRR abs/2305.05237 (2023) - [i22]Arian Prabowo, Hao Xue, Wei Shao, Piotr Koniusz, Flora D. Salim:
Message Passing Neural Networks for Traffic Forecasting. CoRR abs/2305.05740 (2023) - [i21]Arian Prabowo, Kaixuan Chen, Hao Xue, Subbu Sethuvenkatraman, Flora D. Salim:
Continually learning out-of-distribution spatiotemporal data for robust energy forecasting. CoRR abs/2306.06385 (2023) - [i20]Arian Prabowo, Kaixuan Chen, Hao Xue, Subbu Sethuvenkatraman, Flora D. Salim:
Navigating Out-of-Distribution Electricity Load Forecasting during COVID-19: Benchmarking energy load forecasting models without and with continual learning. CoRR abs/2309.04296 (2023) - [i19]Yonchanok Khaokaew, Hao Xue, Flora D. Salim:
MAPLE: Mobile App Prediction Leveraging Large Language model Embeddings. CoRR abs/2309.08648 (2023) - [i18]Hao Xue, Flora D. Salim:
Human Mobility Question Answering (Vision Paper). CoRR abs/2310.04443 (2023) - [i17]Hao Xue, Flora D. Salim:
Utilizing Language Models for Energy Load Forecasting. CoRR abs/2310.17788 (2023) - [i16]Aaron J. Snoswell, Lucinda Nelson, Hao Xue, Flora D. Salim, Nicolas Suzor, Jean Burgess:
Measuring Misogyny in Natural Language Generation: Preliminary Results from a Case Study on two Reddit Communities. CoRR abs/2312.03330 (2023) - 2022
- [j5]Shohreh Deldari, Hao Xue, Aaqib Saeed, Daniel V. Smith, Flora D. Salim:
COCOA: Cross Modality Contrastive Learning for Sensor Data. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 6(3): 108:1-108:28 (2022) - [j4]Nan Gao, Hao Xue, Wei Shao, Sichen Zhao, Kyle Kai Qin, Arian Prabowo, Mohammad Saiedur Rahaman, Flora D. Salim:
Generative Adversarial Networks for Spatio-temporal Data: A Survey. ACM Trans. Intell. Syst. Technol. 13(2): 22:1-22:25 (2022) - [c16]Zhaonan Wang, Renhe Jiang, Hao Xue, Flora D. Salim, Xuan Song, Ryosuke Shibasaki:
Event-Aware Multimodal Mobility Nowcasting. AAAI 2022: 4228-4236 - [c15]Hao Xue, Bhanu Prakash Voutharoja, Flora D. Salim:
Leveraging language foundation models for human mobility forecasting. SIGSPATIAL/GIS 2022: 90:1-90:9 - [c14]Hao Xue, Flora D. Salim, Yongli Ren, Charles L. A. Clarke:
Translating Human Mobility Forecasting through Natural Language Generation. WSDM 2022: 1224-1233 - [i15]Shohreh Deldari, Hao Xue, Aaqib Saeed, Jiayuan He, Daniel V. Smith, Flora D. Salim:
Beyond Just Vision: A Review on Self-Supervised Representation Learning on Multimodal and Temporal Data. CoRR abs/2206.02353 (2022) - [i14]Shohreh Deldari, Hao Xue, Aaqib Saeed, Daniel V. Smith, Flora D. Salim:
COCOA: Cross Modality Contrastive Learning for Sensor Data. CoRR abs/2208.00467 (2022) - [i13]Hao Xue, Bhanu Prakash Voutharoja, Flora D. Salim:
Leveraging Language Foundation Models for Human Mobility Forecasting. CoRR abs/2209.05479 (2022) - [i12]Hao Xue, Flora D. Salim:
Prompt-Based Time Series Forecasting: A New Task and Dataset. CoRR abs/2210.08964 (2022) - [i11]Futoon M. Abushaqra, Hao Xue, Yongli Ren, Flora D. Salim:
CrossPyramid: Neural Ordinary Differential Equations Architecture for Partially-observed Time-series. CoRR abs/2212.03560 (2022) - 2021
- [j3]Lian Xu, Hao Xue, Mohammed Bennamoun, Farid Boussaïd, Ferdous Sohel:
Atrous convolutional feature network for weakly supervised semantic segmentation. Neurocomputing 421: 115-126 (2021) - [j2]Hao Xue, Du Q. Huynh, Mark Reynolds:
PoPPL: Pedestrian Trajectory Prediction by LSTM With Automatic Route Class Clustering. IEEE Trans. Neural Networks Learn. Syst. 32(1): 77-90 (2021) - [c13]Futoon M. Abushaqra, Hao Xue, Yongli Ren, Flora D. Salim:
PIETS: Parallelised Irregularity Encoders for Forecasting with Heterogeneous Time-Series. ICDM 2021: 976-981 - [c12]Hao Xue, Flora D. Salim:
Exploring Self-Supervised Representation Ensembles for COVID-19 Cough Classification. KDD 2021: 1944-1952 - [c11]Hao Xue, Flora D. Salim, Yongli Ren, Nuria Oliver:
MobTCast: Leveraging Auxiliary Trajectory Forecasting for Human Mobility Prediction. NeurIPS 2021: 30380-30391 - [c10]Hao Xue, Flora D. Salim:
TERMCast: Temporal Relation Modeling for Effective Urban Flow Forecasting. PAKDD (1) 2021: 741-753 - [c9]Shohreh Deldari, Daniel V. Smith, Hao Xue, Flora D. Salim:
Time Series Change Point Detection with Self-Supervised Contrastive Predictive Coding. WWW 2021: 3124-3135 - [i10]Hao Xue, Flora D. Salim:
Exploring Self-Supervised Representation Ensembles for COVID-19 Cough Classification. CoRR abs/2105.07566 (2021) - [i9]Futoon M. Abushaqra, Hao Xue, Yongli Ren, Flora D. Salim:
PIETS: Parallelised Irregularity Encoders for Forecasting with Heterogeneous Time-Series. CoRR abs/2110.00071 (2021) - [i8]Hao Xue, Flora D. Salim, Yongli Ren, Nuria Oliver:
MobTCast: Leveraging Auxiliary Trajectory Forecasting for Human Mobility Prediction. CoRR abs/2110.01401 (2021) - [i7]Zhaonan Wang, Renhe Jiang, Hao Xue, Flora D. Salim, Xuan Song, Ryosuke Shibasaki:
Event-Aware Multimodal Mobility Nowcasting. CoRR abs/2112.08443 (2021) - [i6]Hao Xue, Flora D. Salim, Yongli Ren, Charles L. A. Clarke:
Translating Human Mobility Forecasting through Natural Language Generation. CoRR abs/2112.11481 (2021) - 2020
- [j1]Hao Xue, Du Q. Huynh, Mark Reynolds:
A Location-Velocity-Temporal Attention LSTM Model for Pedestrian Trajectory Prediction. IEEE Access 8: 44576-44589 (2020) - [c8]Hao Xue, Du Q. Huynh, Mark Reynolds:
Take a NAP: Non-Autoregressive Prediction for Pedestrian Trajectories. ICONIP (1) 2020: 544-556 - [i5]Hao Xue, Du Q. Huynh, Mark Reynolds:
Take a NAP: Non-Autoregressive Prediction for Pedestrian Trajectories. CoRR abs/2004.09760 (2020) - [i4]Nan Gao, Hao Xue, Wei Shao, Sichen Zhao, Kyle Kai Qin, Arian Prabowo, Mohammad Saiedur Rahaman, Flora D. Salim:
Generative Adversarial Networks for Spatio-temporal Data: A Survey. CoRR abs/2008.08903 (2020) - [i3]Hao Xue, Du Q. Huynh, Mark Reynolds:
Scene Gated Social Graph: Pedestrian Trajectory Prediction Based on Dynamic Social Graphs and Scene Constraints. CoRR abs/2010.05507 (2020) - [i2]Hao Xue, Flora D. Salim:
TRAILER: Transformer-based Time-wise Long Term Relation Modeling for Citywide Traffic Flow Prediction. CoRR abs/2011.05554 (2020) - [i1]Shohreh Deldari, Daniel V. Smith, Hao Xue, Flora D. Salim:
Time-series Change Point Detection with Self-Supervised Contrastive Predictive Coding. CoRR abs/2011.14097 (2020)
2010 – 2019
- 2019
- [c7]Hao Xue, Du Q. Huynh, Mark Reynolds:
Pedestrian Trajectory Prediction Using a Social Pyramid. PRICAI (2) 2019: 439-453 - [c6]Hao Xue, Du Q. Huynh, Mark Reynolds:
Pedestrian Tracking and Stereo Matching of Tracklets for Autonomous Vehicles. VTC Spring 2019: 1-5 - [c5]Hao Xue, Du Huynh, Mark Reynolds:
Location-Velocity Attention for Pedestrian Trajectory Prediction. WACV 2019: 2038-2047 - 2018
- [c4]Hao Xue, Du Q. Huynh, Mark Reynolds:
SS-LSTM: A Hierarchical LSTM Model for Pedestrian Trajectory Prediction. WACV 2018: 1186-1194 - 2017
- [c3]Hao Xue, Du Q. Huynh, Mark Reynolds:
Bi-Prediction: Pedestrian Trajectory Prediction Based on Bidirectional LSTM Classification. DICTA 2017: 1-8 - [c2]Lin Ma, Hao Xue, Tong Jia, Xuezhi Tan:
A Fast C-GIST Based Image Retrieval Method for Vision-Based Indoor Localization. VTC Spring 2017: 1-5 - 2016
- [c1]Hao Xue, Lin Ma, Xuezhi Tan:
A fast visual map building method using video stream for visual-based indoor localization. IWCMC 2016: 650-654
Coauthor Index
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last updated on 2024-04-21 17:58 CEST by the dblp team
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