Hao Xue

137 papers A* 13A 3B 2Misc 3Journal 89Unranked 27
YearRankTypeTitle / Venue / Authors
2026 A* conf
Beyond Single Pass, Looping Through Time: KG-IRAG with Iterative Knowledge Retrieval.
WWW
Ruiyi Yang, Hao Xue, Imran Razzak, Flora D. Salim
2026 J jnl
From Ecological Connectivity to Outbreak Risk: A Heterogeneous Graph Network for Epidemiological Reasoning under Sparse Spatiotemporal Data.
CoRR
Haley Stone, Jing Du, Yang Yang, Ashna Desai, Rebecca Dawson, Hao Xue, David Heslop, Matthew Scotch, Andreas Züfle, C. Raina MacIntyre, Flora Salim
2026 A* conf
Genomic-Informed Heterogeneous Graph Learning for Spatiotemporal Avian Influenza Outbreak Forecasting.
WWW
Jing Du, Haley Stone, Yang Yang, Ashna Desai, Hao Xue, Andreas Züfle, C. Raina MacIntyre, Flora D. Salim
2026 J jnl
Mechanistic Indicators of Steering Effectiveness in Large Language Models.
CoRR
Mehdi Jafari, Hao Xue, Flora Salim
2026 A* conf
When Ads Become Profiles: Uncovering the Invisible Risk of Web Advertising at Scale with LLMs.
WWW
Baiyu Chen, Benjamin Tag, Hao Xue, Daniel Angus, Flora Salim
2025 J jnl
A Gap in Time: The Challenge of Processing Heterogeneous IoT Data in Digitalized Buildings.
IEEE Pervasive Comput.
Xiachong Lin, Arian Prabowo, Imran Razzak, Hao Xue, Matthew Amos, Sam Behrens, Flora D. Salim
2025 — conf
A Probabilistic Framework for Imputing Genetic Distances in Spatiotemporal Pathogen Models.
SIGSPATIAL/GIS
Haley Stone, Jing Du, Hao Xue, Matthew Scotch, David J. Heslop, Andreas Züfle, C. Raina MacIntyre, Flora Salim
2025 J jnl
A Probabilistic Framework for Imputing Genetic Distances in Spatiotemporal Pathogen Models.
CoRR
Haley Stone, Jing Du, Hao Xue, Matthew Scotch, David J. Heslop, Andreas Züfle, C. Raina MacIntyre, Flora Salim
2025 J jnl
ASTER: Adaptive Spatio-Temporal Early Decision Model for Dynamic Resource Allocation.
CoRR
Shulun Chen, Wei Shao, Flora D. Salim, Hao Xue
2025 J jnl
An extremely fast deep spectral clustering method in Fourier domain for large-scale data.
Multim. Syst.
Kun Qu, Man Zhang, Yang Yang, Hao Xue, Xiang-Jun Shen
2025 J jnl
BLUE: Bi-layer Heterogeneous Graph Fusion Network for Avian Influenza Forecasting.
CoRR
Jing Du, Haley Stone, Yang Yang, Ashna Desai, Hao Xue, Andreas Züfle, C. Raina MacIntyre, Flora D. Salim
2025 — conf
Beyond Words: Integrating Theory of Mind into Conversational Agents for Human-Like Belief, Desire, and Intention Alignment.
ACL (Findings)
Mehdi Jafari, Yuncheng Hua, Hao Xue, Flora D. Salim
2025 J jnl
Bisecle: Binding and Separation in Continual Learning for Video Language Understanding.
CoRR
Yue Tan, Xiaoqian Hu, Hao Xue, Celso De Melo, Flora D. Salim
2025 — conf
Brick-by-Brick: Cyber-Physical Building Data Classification Challenge.
WWW (Companion Volume)
Arian Prabowo, Xiachong Lin, Imran Razzak, Hao Xue, Matthew Amos, Stephen D. White, Flora D. Salim
2025 J jnl
COMODO: Cross-Modal Video-to-IMU Distillation for Efficient Egocentric Human Activity Recognition.
CoRR
Baiyu Chen, Wilson Wongso, Zechen Li, Yonchanok Khaokaew, Hao Xue, Flora D. Salim
2025 J jnl
Causality-Inspired Safe Residual Correction for Multivariate Time Series.
CoRR
Jianxiang Xie, Yuncheng Hua, Mingyue Cheng, Flora Salim, Hao Xue
2025 Misc conf
CoughViT: A Self-Supervised Vision Transformer for Cough Audio Representation Learning.
ISWC
Justin Luong, Hao Xue, Flora D. Salim
2025 J jnl
CoughViT: A Self-Supervised Vision Transformer for Cough Audio Representation Learning.
CoRR
Justin Luong, Hao Xue, Flora D. Salim
2025 J jnl
Divide by Question, Conquer by Agent: SPLIT-RAG with Question-Driven Graph Partitioning.
CoRR
Ruiyi Yang, Hao Xue, Imran Razzak, Hakim Hacid, Flora D. Salim
2025 J jnl
Double-Diffusion: Diffusion Conditioned Diffusion Probabilistic Model For Air Quality Prediction.
CoRR
Hanlin Dong, Arian Prabowo, Hao Xue, Flora D. Salim
2025 J jnl
Electric Vehicle Charging Load Modeling: A Survey, Trends, Challenges and Opportunities.
CoRR
Xiachong Lin, Arian Prabowo, Imran Razzak, Hao Xue, Matthew Amos, Sam Behrens, Flora D. Salim
2025 J jnl
Embedding spatial context in urban traffic forecasting with contrastive pre-training.
CoRR
Matthew Low, Arian Prabowo, Hao Xue, Flora Salim
2025 J jnl
Enhancing Conversational Agents with Theory of Mind: Aligning Beliefs, Desires, and Intentions for Human-Like Interaction.
CoRR
Mehdi Jafari, Devin Yuncheng Hua, Hao Xue, Flora Salim
2025 J jnl
Evaluating the Bias in LLMs for Surveying Opinion and Decision Making in Healthcare.
CoRR
Yonchanok Khaokaew, Flora D. Salim, Andreas Züfle, Hao Xue, Taylor Anderson, C. Raina MacIntyre, Matthew Scotch, David J. Heslop
2025 — conf
GenUP: Generative User Profilers as In-Context Learners for Next POI Recommender Systems.
SIGSPATIAL/GIS
Wilson Wongso, Hao Xue, Flora Salim
2025 J jnl
Generate the Forest before the Trees - A Hierarchical Diffusion model for Climate Downscaling.
CoRR
Declan J. Curran, Sanaa Hobeichi, Hira Saleem, Hao Xue, Flora D. Salim
2025 J jnl
HiT-JEPA: A Hierarchical Self-supervised Trajectory Embedding Framework for Similarity Computation.
CoRR
Lihuan Li, Hao Xue, Shuang Ao, Yang Song, Flora Salim
2025 J jnl
Hierarchical Sequence Iteration for Heterogeneous Question Answering.
CoRR
Ruiyi Yang, Hao Xue, Imran Razzak, Hakim Hacid, Flora D. Salim
2025 J jnl
KG-IRAG: A Knowledge Graph-Based Iterative Retrieval-Augmented Generation Framework for Temporal Reasoning.
CoRR
Ruiyi Yang, Hao Xue, Imran Razzak, Hakim Hacid, Flora D. Salim
2025 J jnl
Long Context Modeling with Ranked Memory-Augmented Retrieval.
CoRR
Ghadir Alselwi, Hao Xue, Shoaib Jameel, Basem Suleiman, Flora D. Salim, Imran Razzak
2025 J jnl
Massive-STEPS: Massive Semantic Trajectories for Understanding POI Check-ins - Dataset and Benchmarks.
CoRR
Wilson Wongso, Hao Xue, Flora D. Salim
2025 J jnl
ODEStream: A Buffer-Free Online Learning Framework with ODE-based Adaptor for Streaming Time Series Forecasting.
Trans. Mach. Learn. Res.
Futoon M. Abushaqra, Hao Xue, Yongli Ren, Flora D. Salim
2025 J jnl
Optimizing Electric Vehicle Charging Station Locations: A Data-driven System with Multi-source Fusion.
CoRR
Lihuan Li, Du Yin, Hao Xue, David Lillo-Trynes, Flora Salim
2025 J jnl
QuAnTS: Question Answering on Time Series.
CoRR
Felix Divo, Maurice Kraus, Anh Q. Nguyen, Hao Xue, Imran Razzak, Flora D. Salim, Kristian Kersting, Devendra Singh Dhami
2025 J jnl
RIDE: Enhancing Large Language Model Alignment through Restyled In-Context Learning Demonstration Exemplars.
CoRR
Yuncheng Hua, Lizhen Qu, Zhuang Li, Hao Xue, Flora D. Salim, Gholamreza Haffari
2025 J jnl
Refine-POI: Reinforcement Fine-Tuned Large Language Models for Next Point-of-Interest Recommendation.
CoRR
Peibo Li, Shuang Ao, Hao Xue, Yang Song, Maarten de Rijke, Johan Barthélemy, Tomasz Bednarz, Flora D. Salim
2025 J jnl
Resolving Ambiguity in Gaze-Facilitated Visual Assistant Interaction Paradigm.
CoRR
Zeyu Wang, Baiyu Chen, Kun Yan, Hongjing Piao, Hao Xue, Flora D. Salim, Yuanchun Shi, Yuntao Wang
2025 J jnl
SOCIA: An End-to-End Agentic Framework for Automated Cyber-Physical-Social Simulator Generation.
CoRR
Yuncheng Hua, Ji Miao, Mehdi Jafari, Jianxiang Xie, Hao Xue, Flora D. Salim
2025 — conf
STOAT: Spatial-Temporal Probabilistic Causal Inference Network.
SIGSPATIAL/GIS
Yang Yang, Du Yin, Hao Xue, Flora Salim
2025 J jnl
STOAT: Spatial-Temporal Probabilistic Causal Inference Network.
CoRR
Yang Yang, Du Yin, Hao Xue, Flora Salim
2025 A* conf
SensorLLM: Aligning Large Language Models with Motion Sensors for Human Activity Recognition.
EMNLP
Zechen Li, Shohreh Deldari, Linyao Chen, Hao Xue, Flora D. Salim
2025 — conf
Simulated Infectious Diseases Datasets with Controlled Data Bias.
KDD (2)
Ruochen Kong, Taylor Anderson, Matthew Scotch, David J. Heslop, Yonchanok Khaokaew, Hao Xue, Li Xiong, Chandini Raina MacIntyre, Flora D. Salim, Andreas Züfle
2025 — conf
The International Workshop on Spatio-Temporal Data Mining from the Web.
WWW (Companion Volume)
Yuxuan Liang, Hao Xue, Ming Jin, Flora Salim, Qingsong Wen, Yong Li, Roger Zimmermann, Yu Zheng
2025 — conf
Time Series Analysis in the Web: Recent Advances and Future Trends.
WWW (Companion Volume)
Ming Jin, Wei Jin, Hao Xue, Flora Salim, Yuxuan Liang
2025 J jnl
TradingGroup: A Multi-Agent Trading System with Self-Reflection and Data-Synthesis.
CoRR
Feng Tian, Flora D. Salim, Hao Xue
2025 — conf
TrajLLM: A Modular LLM-Enhanced Agent-Based Framework for Realistic Human Trajectory Simulation.
WWW (Companion Volume)
Chenlu Ju, Jiaxin Liu, Shobhit Sinha, Hao Xue, Flora Salim
2025 J jnl
TrajLLM: A Modular LLM-Enhanced Agent-Based Framework for Realistic Human Trajectory Simulation.
CoRR
Chenlu Ju, Jiaxin Liu, Shobhit Sinha, Hao Xue, Flora Salim
2025 J jnl
Transforming Urban Dynamics: Harnessing Large Language Models for Smarter Mobility.
IEEE Intell. Syst.
Hao Xue, Ming Jin, Shirui Pan, Flora Salim
2025 — conf
UbiSense 2025: First International Workshop on Emerging Techniques in Ubiquitous Sensing and Interaction.
UbiComp Companion
Shantanu Pal, Hao Xue, Nan Gao, Judith Simone Heinisch, Flora Salim, Haining Zhang
2025 J jnl
Vision-Based Multi-Future Trajectory Prediction: A Survey.
IEEE Trans. Neural Networks Learn. Syst.
Renhao Huang, Hao Xue, Maurice Pagnucco, Flora D. Salim, Yang Song
2025 J jnl
When Ads Become Profiles: Large-Scale Audit of Algorithmic Biases and LLM Profiling Risks.
CoRR
Baiyu Chen, Benjamin Tag, Hao Xue, Daniel Angus, Flora Salim
2025 — conf
XXLTraffic: Expanding and Extremely Long Traffic Forecasting beyond Test Adaptation.
SIGSPATIAL/GIS
Du Yin, Hao Xue, Arian Prabowo, Shuang Ao, Flora Salim
2025 J jnl
ZARA: Zero-shot Motion Time-Series Analysis via Knowledge and Retrieval Driven LLM Agents.
CoRR
Zechen Li, Baiyu Chen, Hao Xue, Flora D. Salim
2024 J jnl
A Gap in Time: The Challenge of Processing Heterogeneous IoT Point Data in Buildings.
CoRR
Xiachong Lin, Arian Prabowo, Imran Razzak, Hao Xue, Matthew Amos, Sam Behrens, Stephen D. White, Flora D. Salim
2024 J jnl
BTS: Building Timeseries Dataset: Empowering Large-Scale Building Analytics.
CoRR
Arian Prabowo, Xiachong Lin, Imran Razzak, Hao Xue, Emily W. Yap, Matthew Amos, Flora D. Salim
2024 — conf
BiTSA: Leveraging Time Series Foundation Model for Building Energy Analytics.
ICDM (Workshops)
Xiachong Lin, Arian Prabowo, Imran Razzak, Hao Xue, Matthew Amos, Sam Behrens, Flora D. Salim
2024 J jnl
BiTSA: Leveraging Time Series Foundation Model for Building Energy Analytics.
CoRR
Xiachong Lin, Arian Prabowo, Imran Razzak, Hao Xue, Matthew Amos, Sam Behrens, Flora D. Salim
2024 A* conf
Building Timeseries Dataset: Empowering Large-Scale Building Analytics.
NeurIPS
Arian Prabowo, Xiachong Lin, Imran Razzak, Hao Xue, Emily W. Yap, Matthew Amos, Flora D. Salim
2024 — conf
Enhancing Spatio-temporal Quantile Forecasting with Curriculum Learning: Lessons Learned.
SIGSPATIAL/GIS
Du Yin, Jinliang Deng, Shuang Ao, Zechen Li, Hao Xue, Arian Prabowo, Renhe Jiang, Xuan Song, Flora D. Salim
2024 J jnl
Enhancing Spatio-temporal Quantile Forecasting with Curriculum Learning: Lessons Learned.
CoRR
Du Yin, Jinliang Deng, Shuang Ao, Zechen Li, Hao Xue, Arian Prabowo, Renhe Jiang, Xuan Song, Flora D. Salim
2024 J jnl
Exploring Capabilities of Time Series Foundation Models in Building Analytics.
CoRR
Xiachong Lin, Arian Prabowo, Imran Razzak, Hao Xue, Matthew Amos, Sam Behrens, Flora D. Salim
2024 J jnl
GenUP: Generative User Profilers as In-Context Learners for Next POI Recommender Systems.
CoRR
Wilson Wongso, Hao Xue, Flora D. Salim
2024 A* conf
Large Language Models for Next Point-of-Interest Recommendation.
SIGIR
Peibo Li, Maarten de Rijke, Hao Xue, Shuang Ao, Yang Song, Flora D. Salim
2024 J jnl
Large Language Models for Next Point-of-Interest Recommendation.
CoRR
Peibo Li, Maarten de Rijke, Hao Xue, Shuang Ao, Yang Song, Flora D. Salim
2024 J jnl
Learning spatio-temporal dynamics on mobility networks for adaptation to open-world events.
Artif. Intell.
Zhaonan Wang, Renhe Jiang, Hao Xue, Flora D. Salim, Xuan Song, Ryosuke Shibasaki, Wei Hu, Shaowen Wang
2024 J jnl
Leveraging Simulation Data to Understand Bias in Predictive Models of Infectious Disease Spread.
ACM Trans. Spatial Algorithms Syst.
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
2024 J jnl
MAPLE: Mobile App Prediction Leveraging Large Language Model Embeddings.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol.
Yonchanok Khaokaew, Hao Xue, Flora D. Salim
2024 J jnl
ODEStream: A Buffer-Free Online Learning Framework with ODE-based Adaptor for Streaming Time Series Forecasting.
CoRR
Futoon M. Abushaqra, Hao Xue, Yongli Ren, Flora D. Salim
2024 — conf
Prompt Mining for Language Models-based Mobility Flow Forecasting.
SIGSPATIAL/GIS
Hao Xue, Tianye Tang, Ali Payani, Flora D. Salim
2024 J jnl
Prompt Mining for Language-based Human Mobility Forecasting.
CoRR
Hao Xue, Tianye Tang, Ali Payani, Flora D. Salim
2024 J jnl
PromptCast: A New Prompt-Based Learning Paradigm for Time Series Forecasting.
IEEE Trans. Knowl. Data Eng.
Hao Xue, Flora D. Salim
2024 A* conf
SSTKG: Simple Spatio-Temporal Knowledge Graph for Intepretable and Versatile Dynamic Information Embedding.
WWW
Ruiyi Yang, Flora D. Salim, Hao Xue
2024 J jnl
SSTKG: Simple Spatio-Temporal Knowledge Graph for Intepretable and Versatile Dynamic Information Embedding.
CoRR
Ruiyi Yang, Flora D. Salim, Hao Xue
2024 J jnl
SensorLLM: Aligning Large Language Models with Motion Sensors for Human Activity Recognition.
CoRR
Zechen Li, Shohreh Deldari, Linyao Chen, Hao Xue, Flora D. Salim
2024 J jnl
SeqLink: A Robust Neural-ODE Architecture for Modelling Partially Observed Time Series.
Trans. Mach. Learn. Res.
Futoon M. Abushaqra, Hao Xue, Yongli Ren, Flora D. Salim
2024 — conf
T-JEPA: A Joint-Embedding Predictive Architecture for Trajectory Similarity Computation.
SIGSPATIAL/GIS
Lihuan Li, Hao Xue, Yang Song, Flora D. Salim
2024 J jnl
T-JEPA: A Joint-Embedding Predictive Architecture for Trajectory Similarity Computation.
CoRR
Lihuan Li, Hao Xue, Yang Song, Flora D. Salim
2024 J jnl
Traffic forecasting on new roads using spatial contrastive pre-training (SCPT).
Data Min. Knowl. Discov.
Arian Prabowo, Hao Xue, Wei Shao, Piotr Koniusz, Flora D. Salim
2024 A* conf
ViLCo-Bench: VIdeo Language COntinual learning Benchmark.
NeurIPS
Tianqi Tang, Shohreh Deldari, Hao Xue, Celso De Melo, Flora D. Salim
2024 J jnl
ViLCo-Bench: VIdeo Language COntinual learning Benchmark.
CoRR
Tianqi Tang, Shohreh Deldari, Hao Xue, Celso De Melo, Flora D. Salim
2024 Misc conf
WorkR: Occupation Inference for Intelligent Task Assistance.
ISWC
Yonchanok Khaokaew, Hao Xue, Mohammad Saiedur Rahaman, Flora D. Salim
2024 J jnl
WorkR: Occupation Inference for Intelligent Task Assistance.
CoRR
Yonchanok Khaokaew, Hao Xue, Mohammad Saiedur Rahaman, Flora D. Salim
2024 J jnl
XXLTraffic: Expanding and Extremely Long Traffic Dataset for Ultra-Dynamic Forecasting Challenges.
CoRR
Du Yin, Hao Xue, Arian Prabowo, Shuang Ao, Flora D. Salim
2023 — conf
Artificial General Intelligence for Human Mobility (Vision Paper).
SIGSPATIAL/GIS
Hao Xue, Flora D. Salim
2023 — conf
Because Every Sensor Is Unique, so Is Every Pair: Handling Dynamicity in Traffic Forecasting.
IoTDI
Arian Prabowo, Wei Shao, Hao Xue, Piotr Koniusz, Flora D. Salim
2023 J jnl
Because Every Sensor Is Unique, so Is Every Pair: Handling Dynamicity in Traffic Forecasting.
CoRR
Arian Prabowo, Wei Shao, Hao Xue, Piotr Koniusz, Flora D. Salim
2023 — conf
Continually Learning Out-of-Distribution Spatiotemporal Data for Robust Energy Forecasting.
ECML/PKDD (7)
Arian Prabowo, Kaixuan Chen, Hao Xue, Subbu Sethuvenkatraman, Flora D. Salim
2023 J jnl
Continually learning out-of-distribution spatiotemporal data for robust energy forecasting.
CoRR
Arian Prabowo, Kaixuan Chen, Hao Xue, Subbu Sethuvenkatraman, Flora D. Salim
2023 J jnl
Human Mobility Question Answering (Vision Paper).
CoRR
Hao Xue, Flora D. Salim
2023 J jnl
MAPLE: Mobile App Prediction Leveraging Large Language model Embeddings.
CoRR
Yonchanok Khaokaew, Hao Xue, Flora D. Salim
2023 J jnl
Measuring Misogyny in Natural Language Generation: Preliminary Results from a Case Study on two Reddit Communities.
CoRR
Aaron J. Snoswell, Lucinda Nelson, Hao Xue, Flora D. Salim, Nicolas Suzor, Jean Burgess
2023 J jnl
Message Passing Neural Networks for Traffic Forecasting.
CoRR
Arian Prabowo, Hao Xue, Wei Shao, Piotr Koniusz, Flora D. Salim
2023 J jnl
Multimodal Trajectory Prediction: A Survey.
CoRR
Renhao Huang, Hao Xue, Maurice Pagnucco, Flora D. Salim, Yang Song
2023 — conf
Navigating Out-of-Distribution Electricity Load Forecasting during COVID-19: Benchmarking energy load forecasting models without and with continual learning.
BuildSys
Arian Prabowo, Kaixuan Chen, Hao Xue, Subbu Sethuvenkatraman, Flora D. Salim
2023 J jnl
Navigating Out-of-Distribution Electricity Load Forecasting during COVID-19: Benchmarking energy load forecasting models without and with continual learning.
CoRR
Arian Prabowo, Kaixuan Chen, Hao Xue, Subbu Sethuvenkatraman, Flora D. Salim
2023 B conf
Self-supervised Activity Representation Learning with Incremental Data: An Empirical Study.
MDM
Jason Liu, Shohreh Deldari, Hao Xue, Van Nguyen, Flora D. Salim
2023 J jnl
Self-supervised Activity Representation Learning with Incremental Data: An Empirical Study.
CoRR
Jason Liu, Shohreh Deldari, Hao Xue, Van Nguyen, Flora D. Salim
2023 J jnl
Traffic Forecasting on New Roads Unseen in the Training Data Using Spatial Contrastive Pre-Training.
CoRR
Arian Prabowo, Wei Shao, Hao Xue, Piotr Koniusz, Flora D. Salim
2023 — conf
Understanding Mobile Information Needs and Behaviours.
UbiComp/ISWC Adjunct
Yonchanok Khaokaew, Flora D. Salim, Hao Xue
2023 — conf
Utilizing Language Models for Energy Load Forecasting.
BuildSys
Hao Xue, Flora D. Salim
2023 J jnl
Utilizing Language Models for Energy Load Forecasting.
CoRR
Hao Xue, Flora D. Salim
2022 J jnl
Beyond Just Vision: A Review on Self-Supervised Representation Learning on Multimodal and Temporal Data.
CoRR
Shohreh Deldari, Hao Xue, Aaqib Saeed, Jiayuan He, Daniel V. Smith, Flora D. Salim
2022 J jnl
COCOA: Cross Modality Contrastive Learning for Sensor Data.
CoRR
Shohreh Deldari, Hao Xue, Aaqib Saeed, Daniel V. Smith, Flora D. Salim
2022 J jnl
COCOA: Cross Modality Contrastive Learning for Sensor Data.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol.
Shohreh Deldari, Hao Xue, Aaqib Saeed, Daniel V. Smith, Flora D. Salim
2022 J jnl
CrossPyramid: Neural Ordinary Differential Equations Architecture for Partially-observed Time-series.
CoRR
Futoon M. Abushaqra, Hao Xue, Yongli Ren, Flora D. Salim
2022 A* conf
Event-Aware Multimodal Mobility Nowcasting.
AAAI
Zhaonan Wang, Renhe Jiang, Hao Xue, Flora D. Salim, Xuan Song, Ryosuke Shibasaki
2022 J jnl
Generative Adversarial Networks for Spatio-temporal Data: A Survey.
ACM Trans. Intell. Syst. Technol.
Nan Gao, Hao Xue, Wei Shao, Sichen Zhao, Kyle Kai Qin, Arian Prabowo, Mohammad Saiedur Rahaman, Flora D. Salim
2022 J jnl
Leveraging Language Foundation Models for Human Mobility Forecasting.
CoRR
Hao Xue, Bhanu Prakash Voutharoja, Flora D. Salim
2022 — conf
Leveraging language foundation models for human mobility forecasting.
SIGSPATIAL/GIS
Hao Xue, Bhanu Prakash Voutharoja, Flora D. Salim
2022 J jnl
Prompt-Based Time Series Forecasting: A New Task and Dataset.
CoRR
Hao Xue, Flora D. Salim
2022 A conf
Translating Human Mobility Forecasting through Natural Language Generation.
WSDM
Hao Xue, Flora D. Salim, Yongli Ren, Charles L. A. Clarke
2021 J jnl
Atrous convolutional feature network for weakly supervised semantic segmentation.
Neurocomputing
Lian Xu, Hao Xue, Mohammed Bennamoun, Farid Boussaïd, Ferdous Sohel
2021 J jnl
Event-Aware Multimodal Mobility Nowcasting.
CoRR
Zhaonan Wang, Renhe Jiang, Hao Xue, Flora D. Salim, Xuan Song, Ryosuke Shibasaki
2021 A* conf
Exploring Self-Supervised Representation Ensembles for COVID-19 Cough Classification.
KDD
Hao Xue, Flora D. Salim
2021 J jnl
Exploring Self-Supervised Representation Ensembles for COVID-19 Cough Classification.
CoRR
Hao Xue, Flora D. Salim
2021 A* conf
MobTCast: Leveraging Auxiliary Trajectory Forecasting for Human Mobility Prediction.
NeurIPS
Hao Xue, Flora D. Salim, Yongli Ren, Nuria Oliver
2021 J jnl
MobTCast: Leveraging Auxiliary Trajectory Forecasting for Human Mobility Prediction.
CoRR
Hao Xue, Flora D. Salim, Yongli Ren, Nuria Oliver
2021 A* conf
PIETS: Parallelised Irregularity Encoders for Forecasting with Heterogeneous Time-Series.
ICDM
Futoon M. Abushaqra, Hao Xue, Yongli Ren, Flora D. Salim
2021 J jnl
PIETS: Parallelised Irregularity Encoders for Forecasting with Heterogeneous Time-Series.
CoRR
Futoon M. Abushaqra, Hao Xue, Yongli Ren, Flora D. Salim
2021 J jnl
PoPPL: Pedestrian Trajectory Prediction by LSTM With Automatic Route Class Clustering.
IEEE Trans. Neural Networks Learn. Syst.
Hao Xue, Du Q. Huynh, Mark Reynolds
2021 — conf
TERMCast: Temporal Relation Modeling for Effective Urban Flow Forecasting.
PAKDD (1)
Hao Xue, Flora D. Salim
2021 A* conf
Time Series Change Point Detection with Self-Supervised Contrastive Predictive Coding.
WWW
Shohreh Deldari, Daniel V. Smith, Hao Xue, Flora D. Salim
2021 J jnl
Translating Human Mobility Forecasting through Natural Language Generation.
CoRR
Hao Xue, Flora D. Salim, Yongli Ren, Charles L. A. Clarke
2020 J jnl
A Location-Velocity-Temporal Attention LSTM Model for Pedestrian Trajectory Prediction.
IEEE Access
Hao Xue, Du Q. Huynh, Mark Reynolds
2020 J jnl
Generative Adversarial Networks for Spatio-temporal Data: A Survey.
CoRR
Nan Gao, Hao Xue, Wei Shao, Sichen Zhao, Kyle Kai Qin, Arian Prabowo, Mohammad Saiedur Rahaman, Flora D. Salim
2020 J jnl
Scene Gated Social Graph: Pedestrian Trajectory Prediction Based on Dynamic Social Graphs and Scene Constraints.
CoRR
Hao Xue, Du Q. Huynh, Mark Reynolds
2020 J jnl
TRAILER: Transformer-based Time-wise Long Term Relation Modeling for Citywide Traffic Flow Prediction.
CoRR
Hao Xue, Flora D. Salim
2020 — conf
Take a NAP: Non-Autoregressive Prediction for Pedestrian Trajectories.
ICONIP (1)
Hao Xue, Du Q. Huynh, Mark Reynolds
2020 J jnl
Take a NAP: Non-Autoregressive Prediction for Pedestrian Trajectories.
CoRR
Hao Xue, Du Q. Huynh, Mark Reynolds
2020 J jnl
Time-series Change Point Detection with Self-Supervised Contrastive Predictive Coding.
CoRR
Shohreh Deldari, Daniel V. Smith, Hao Xue, Flora D. Salim
2019 A conf
Location-Velocity Attention for Pedestrian Trajectory Prediction.
WACV
Hao Xue, Du Huynh, Mark Reynolds
2019 — conf
Pedestrian Tracking and Stereo Matching of Tracklets for Autonomous Vehicles.
VTC Spring
Hao Xue, Du Q. Huynh, Mark Reynolds
2019 — conf
Pedestrian Trajectory Prediction Using a Social Pyramid.
PRICAI (2)
Hao Xue, Du Q. Huynh, Mark Reynolds
2018 A conf
SS-LSTM: A Hierarchical LSTM Model for Pedestrian Trajectory Prediction.
WACV
Hao Xue, Du Q. Huynh, Mark Reynolds
2017 — conf
A Fast C-GIST Based Image Retrieval Method for Vision-Based Indoor Localization.
VTC Spring
Lin Ma, Hao Xue, Tong Jia, Xuezhi Tan
2017 Misc conf
Bi-Prediction: Pedestrian Trajectory Prediction Based on Bidirectional LSTM Classification.
DICTA
Hao Xue, Du Q. Huynh, Mark Reynolds
2016 B conf
A fast visual map building method using video stream for visual-based indoor localization.
IWCMC
Hao Xue, Lin Ma, Xuezhi Tan