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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://dblp.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
[j11]Zhaonan Wang, Renhe Jiang, Hao Xue, Flora D. Salim, Xuan Song, Ryosuke Shibasaki, Wei Hu, Shaowen Wang:
Learning spatio-temporal dynamics on mobility networks for adaptation to open-world events. Artif. Intell. 335: 104120 (2024)- [j10]Arian Prabowo, Hao Xue, Wei Shao, Piotr Koniusz, Flora D. Salim:
Traffic forecasting on new roads using spatial contrastive pre-training (SCPT). Data Min. Knowl. Discov. 38(3): 913-937 (2024) - [j9]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) - [j8]Hao Xue, Flora D. Salim:
PromptCast: A New Prompt-Based Learning Paradigm for Time Series Forecasting. IEEE Trans. Knowl. Data Eng. 36(11): 6851-6864 (2024) - [j7]Futoon M. Abushaqra, Hao Xue, Yongli Ren, Flora D. Salim:
SeqLink: A Robust Neural-ODE Architecture for Modelling Partially Observed Time Series. Trans. Mach. Learn. Res. 2024 (2024) - [j6]Andreas Züfle, Flora D. Salim, Taylor Anderson, Matthew Scotch, Li Xiong, Kacper Sokol, Hao Xue, Ruochen Kong, David J. Heslop, Hye-Young Paik, C. Raina MacIntyre:
Leveraging Simulation Data to Understand Bias in Predictive Models of Infectious Disease Spread. ACM Trans. Spatial Algorithms Syst. 10(2): 17 (2024) - [c26]Yonchanok Khaokaew, Hao Xue, Mohammad Saiedur Rahaman, Flora D. Salim:
WorkR: Occupation Inference for Intelligent Task Assistance. ISWC 2024: 118-124 - [c25]Peibo Li, Maarten de Rijke, Hao Xue, Shuang Ao, Yang Song, Flora D. Salim:
Large Language Models for Next Point-of-Interest Recommendation. SIGIR 2024: 1463-1472 - [c24]Ruiyi Yang, Flora D. Salim, Hao Xue:
SSTKG: Simple Spatio-Temporal Knowledge Graph for Intepretable and Versatile Dynamic Information Embedding. WWW 2024: 551-559 - [i36]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) - [i35]Hao Xue, Tianye Tang, Ali Payani, Flora D. Salim:
Prompt Mining for Language-based Human Mobility Forecasting. CoRR abs/2403.03544 (2024) - [i34]Peibo Li, Maarten de Rijke, Hao Xue, Shuang Ao, Yang Song, Flora D. Salim:
Large Language Models for Next Point-of-Interest Recommendation. CoRR abs/2404.17591 (2024) - [i33]Xiachong Lin, Arian Prabowo, Imran Razzak, Hao Xue, Matthew Amos, Sam Behrens, Stephen White, Flora D. Salim:
A Gap in Time: The Challenge of Processing Heterogeneous IoT Point Data in Buildings. CoRR abs/2405.14267 (2024) - [i32]Arian Prabowo, Xiachong Lin, Imran Razzak, Hao Xue, Emily W. Yap, Matthew Amos, Flora D. Salim:
BTS: Building Timeseries Dataset: Empowering Large-Scale Building Analytics. CoRR abs/2406.08990 (2024) - [i31]Du Yin, Hao Xue, Arian Prabowo, Shuang Ao, Flora D. Salim:
XXLTraffic: Expanding and Extremely Long Traffic Dataset for Ultra-Dynamic Forecasting Challenges. CoRR abs/2406.12693 (2024) - [i30]Du Yin, Jinliang Deng, Shuang Ao, Zechen Li, Hao Xue, Arian Prabowo, Renhe Jiang, Xuan Song, Flora D. Salim:
Enhancing Spatio-temporal Quantile Forecasting with Curriculum Learning: Lessons Learned. CoRR abs/2406.12709 (2024) - [i29]Lihuan Li, Hao Xue, Yang Song, Flora D. Salim:
T-JEPA: A Joint-Embedding Predictive Architecture for Trajectory Similarity Computation. CoRR abs/2406.12913 (2024) - [i28]Tianqi Tang, Shohreh Deldari, Hao Xue, Celso De Melo, Flora D. Salim:
ViLCo-Bench: VIdeo Language COntinual learning Benchmark. CoRR abs/2406.13123 (2024) - [i27]Yonchanok Khaokaew, Hao Xue, Mohammad Saiedur Rahaman, Flora D. Salim:
WorkR: Occupation Inference for Intelligent Task Assistance. CoRR abs/2407.18518 (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
[j11] [j10] [j9] [j8] [j7] [j6] [c26] [c25] [c24] [i36] [i35] [i34] [i33] [i32] [i31] [i30] [i29] [i28] [i27] [c23] [c22] [c21] [c20] [c19] [c18] [c17] [i26] [i25] [i24] [i23] [i22] [i21] [i20] [i19] [i18] [i17] [i16] [j5] [j4] [c16] [c15] [c14] [i15] [i14] [i13] [i12] [i11] [c13] [c12] [c11] [c10] [c9] [i10] [i9] [i8] [i7] [i6] [i4] [i2] [i1]
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