Search Results for author: Flora D. Salim

Found 82 papers, 32 papers with code

EMAC+: Embodied Multimodal Agent for Collaborative Planning with VLM+LLM

no code implementations26 May 2025 Shuang Ao, Flora D. Salim, Simon Khan

Although LLMs demonstrate proficiency in several text-based reasoning and planning tasks, their implementation in robotics control is constrained by significant deficiencies: (1) LLM agents are designed to work mainly with textual inputs rather than visual conditions; (2) Current multimodal agents treat LLMs as static planners, which separates their reasoning from environment dynamics, resulting in actions that do not take domain-specific knowledge into account; and (3) LLMs are not designed to learn from visual interactions, which makes it harder for them to make better policies for specific domains.

Divide by Question, Conquer by Agent: SPLIT-RAG with Question-Driven Graph Partitioning

no code implementations20 May 2025 Ruiyi Yang, Hao Xue, Imran Razzak, Hakim Hacid, Flora D. Salim

Retrieval-Augmented Generation (RAG) systems empower large language models (LLMs) with external knowledge, yet struggle with efficiency-accuracy trade-offs when scaling to large knowledge graphs.

Attribute graph partitioning +4

SOCIA: An End-to-End Agentic Framework for Automated Cyber-Physical-Social Simulator Generation

no code implementations17 May 2025 Yuncheng Hua, Ji Miao, Mehdi Jafari, Jianxiang Xie, Hao Xue, Flora D. Salim

This paper introduces SOCIA (Simulation Orchestration for Cyber-physical-social Intelligence and Agents), a novel end-to-end framework leveraging Large Language Model (LLM)-based multi-agent systems to automate the generation of high-fidelity Cyber-Physical-Social (CPS) simulators.

Code Generation Language Modeling +2

Massive-STEPS: Massive Semantic Trajectories for Understanding POI Check-ins -- Dataset and Benchmarks

1 code implementation16 May 2025 Wilson Wongso, Hao Xue, Flora D. Salim

By releasing Massive-STEPS, we aim to facilitate reproducible and equitable research in human mobility and POI recommendation.

Benchmarking

Beyond Single Pass, Looping Through Time: KG-IRAG with Iterative Knowledge Retrieval

no code implementations18 Mar 2025 Ruiyi Yang, Hao Xue, Imran Razzak, Hakim Hacid, Flora D. Salim

Graph Retrieval-Augmented Generation (GraphRAG) has proven highly effective in enhancing the performance of Large Language Models (LLMs) on tasks that require external knowledge.

Information Retrieval Knowledge Graphs +3

PAR-AdvGAN: Improving Adversarial Attack Capability with Progressive Auto-Regression AdvGAN

no code implementations16 Feb 2025 Jiayu Zhang, Zhiyu Zhu, Xinyi Wang, Silin Liao, Zhibo Jin, Flora D. Salim, Huaming Chen

We thoroughly evaluate our PAR-AdvGAN method with a large-scale experiment, demonstrating its superior performance over various state-of-the-art black-box adversarial attacks, as well as the original AdvGAN. Moreover, PAR-AdvGAN significantly accelerates the adversarial example generation, i. e., achieving the speeds of up to 335. 5 frames per second on Inception-v3 model, outperforming the gradient-based transferable attack algorithms.

Adversarial Attack regression

Leveraging Taxonomy and LLMs for Improved Multimodal Hierarchical Classification

no code implementations12 Jan 2025 Shijing Chen, Mohamed Reda Bouadjenek, Shoaib Jameel, Usman Naseem, Basem Suleiman, Flora D. Salim, Hakim Hacid, Imran Razzak

Multi-level Hierarchical Classification (MLHC) tackles the challenge of categorizing items within a complex, multi-layered class structure.

Exploring Capabilities of Time Series Foundation Models in Building Analytics

no code implementations28 Oct 2024 Xiachong Lin, Arian Prabowo, Imran Razzak, Hao Xue, Matthew Amos, Sam Behrens, Flora D. Salim

The growing integration of digitized infrastructure with Internet of Things (IoT) networks has transformed the management and optimization of building energy consumption.

Benchmarking energy management +2

GenUP: Generative User Profilers as In-Context Learners for Next POI Recommender Systems

1 code implementation28 Oct 2024 Wilson Wongso, Hao Xue, Flora D. Salim

Traditional Point-of-Interest (POI) recommendation systems often lack transparency, interpretability, and scrutability due to their reliance on dense vector-based user embeddings.

Recommendation Systems

SensorLLM: Human-Intuitive Alignment of Multivariate Sensor Data with LLMs for Activity Recognition

1 code implementation14 Oct 2024 Zechen Li, Shohreh Deldari, Linyao Chen, Hao Xue, Flora D. Salim

This alignment enables LLMs to interpret numerical patterns, channel-specific signals, and variable-length inputs--without requiring human annotation.

Descriptive Human Activity Recognition +3

WorkR: Occupation Inference for Intelligent Task Assistance

no code implementations26 Jul 2024 Yonchanok Khaokaew, Hao Xue, Mohammad Saiedur Rahaman, Flora D. Salim

Occupation information can be utilized by digital assistants to provide occupation-specific personalized task support, including interruption management, task planning, and recommendations.

Management Task Planning

Long-term Fairness in Ride-Hailing Platform

no code implementations25 Jul 2024 Yufan Kang, Jeffrey Chan, Wei Shao, Flora D. Salim, Christopher Leckie

The recent studies that focus on fairness in ride-hailing exploit traditional optimisation methods and the Markov Decision Process to balance efficiency and fairness.

Fairness Q-Learning

AuditNet: A Conversational AI-based Security Assistant [DEMO]

no code implementations19 Jul 2024 Shohreh Deldari, Mohammad Goudarzi, Aditya Joshi, Arash Shaghaghi, Simon Finn, Flora D. Salim, Sanjay Jha

In the age of information overload, professionals across various fields face the challenge of navigating vast amounts of documentation and ever-evolving standards.

Retrieval Retrieval-augmented Generation

REVEAL-IT: REinforcement learning with Visibility of Evolving Agent poLicy for InTerpretability

1 code implementation20 Jun 2024 Shuang Ao, Simon Khan, Haris Aziz, Flora D. Salim

Understanding the agent's learning process in complicated environments or tasks is more challenging.

Decision Making

ViLCo-Bench: VIdeo Language COntinual learning Benchmark

1 code implementation19 Jun 2024 Tianqi Tang, Shohreh Deldari, Hao Xue, Celso de Melo, Flora D. Salim

This framework addresses challenges including memory complexity from long video clips, natural language complexity from open queries, and text-video misalignment.

Continual Learning Self-Supervised Learning

CAPRI-FAIR: Integration of Multi-sided Fairness in Contextual POI Recommendation Framework

1 code implementation5 Jun 2024 Francis Zac dela Cruz, Flora D. Salim, Yonchanok Khaokaew, Jeffrey Chan

Experiments show that a linear scoring model for provider fairness in re-scoring items offers the best balance between performance and long-tail exposure, sometimes without much precision loss.

Fairness

ST-DPGAN: A Privacy-preserving Framework for Spatiotemporal Data Generation

no code implementations4 Jun 2024 Wei Shao, Rongyi Zhu, Cai Yang, Chandra Thapa, Muhammad Ejaz Ahmed, Seyit Camtepe, Rui Zhang, Duyong Kim, Hamid Menouar, Flora D. Salim

Spatiotemporal data is prevalent in a wide range of edge devices, such as those used in personal communication and financial transactions.

Privacy Preserving

Promoting Two-sided Fairness in Dynamic Vehicle Routing Problem

no code implementations29 May 2024 Yufan Kang, Rongsheng Zhang, Wei Shao, Flora D. Salim, Jeffrey Chan

Dynamic Vehicle Routing Problem (DVRP), is an extension of the classic Vehicle Routing Problem (VRP), which is a fundamental problem in logistics and transportation.

Fairness

A Gap in Time: The Challenge of Processing Heterogeneous IoT Data in Digitalized Buildings

no code implementations23 May 2024 Xiachong Lin, Arian Prabowo, Imran Razzak, Hao Xue, Matthew Amos, Sam Behrens, Flora D. Salim

The increasing demand for sustainable energy solutions has driven the integration of digitalized buildings into the power grid, leveraging Internet-of-Things (IoT) technologies to enhance energy efficiency and operational performance.

Benchmarking Data Integration +5

Characterizing Information Seeking Processes with Multiple Physiological Signals

1 code implementation1 May 2024 Kaixin Ji, Danula Hettiachchi, Flora D. Salim, Falk Scholer, Damiano Spina

Information access systems are getting complex, and our understanding of user behavior during information seeking processes is mainly drawn from qualitative methods, such as observational studies or surveys.

Large Language Models for Next Point-of-Interest Recommendation

1 code implementation19 Apr 2024 Peibo Li, Maarten de Rijke, Hao Xue, Shuang Ao, Yang song, Flora D. Salim

Our results show that the proposed framework outperforms the state-of-the-art models in all three datasets.

Prompt Mining for Language-based Human Mobility Forecasting

no code implementations6 Mar 2024 Hao Xue, Tianye Tang, Ali Payani, Flora D. Salim

Specifically, the framework includes a prompt generation stage based on the information entropy of prompts and a prompt refinement stage to integrate mechanisms such as the chain of thought.

SSTKG: Simple Spatio-Temporal Knowledge Graph for Intepretable and Versatile Dynamic Information Embedding

1 code implementation19 Feb 2024 Ruiyi Yang, Flora D. Salim, Hao Xue

Our framework offers a simple but comprehensive way to understand the underlying patterns and trends in dynamic KG, thereby enhancing the accuracy of predictions and the relevance of recommendations.

Knowledge Graphs Link Prediction +1

Measuring Misogyny in Natural Language Generation: Preliminary Results from a Case Study on two Reddit Communities

no code implementations6 Dec 2023 Aaron J. Snoswell, Lucinda Nelson, Hao Xue, Flora D. Salim, Nicolas Suzor, Jean Burgess

Generic `toxicity' classifiers continue to be used for evaluating the potential for harm in natural language generation, despite mounting evidence of their shortcomings.

Text Generation

Utilizing Language Models for Energy Load Forecasting

1 code implementation26 Oct 2023 Hao Xue, Flora D. Salim

Energy load forecasting plays a crucial role in optimizing resource allocation and managing energy consumption in buildings and cities.

Decision Making Descriptive +1

ZzzGPT: An Interactive GPT Approach to Enhance Sleep Quality

2 code implementations24 Oct 2023 Yonchanok Khaokaew, Kaixin Ji, Thuc Hanh Nguyen, Hiruni Kegalle, Marwah Alaofi, Hao Xue, Flora D. Salim

This paper explores the intersection of technology and sleep pattern comprehension, presenting a cutting-edge two-stage framework that harnesses the power of Large Language Models (LLMs).

Sleep Quality

Human Mobility Question Answering (Vision Paper)

no code implementations2 Oct 2023 Hao Xue, Flora D. Salim

The aim of the task is to let the intelligent system learn from mobility data and answer related questions.

Management Question Answering +2

MAPLE: Mobile App Prediction Leveraging Large Language Model Embeddings

1 code implementation15 Sep 2023 Yonchanok Khaokaew, Hao Xue, Flora D. Salim

This study introduces a novel prediction model, Mobile App Prediction Leveraging Large Language Model Embeddings (MAPLE), which employs Large Language Models (LLMs) and installed app similarity to overcome these challenges.

Language Modeling Language Modelling +2

Counterfactual Explanations via Locally-guided Sequential Algorithmic Recourse

no code implementations8 Sep 2023 Edward A. Small, Jeffrey N. Clark, Christopher J. McWilliams, Kacper Sokol, Jeffrey Chan, Flora D. Salim, Raul Santos-Rodriguez

Counterfactuals operationalised through algorithmic recourse have become a powerful tool to make artificial intelligence systems explainable.

counterfactual

Hypergraph Convolutional Networks for Fine-grained ICU Patient Similarity Analysis and Risk Prediction

no code implementations24 Aug 2023 Yuxi Liu, Zhenhao Zhang, Shaowen Qin, Flora D. Salim, Antonio Jimeno Yepes, Jun Shen, Jiang Bian

In this paper, we propose a novel Hypergraph Convolutional Network that allows the representation of non-pairwise relationships among diagnosis codes in a hypergraph to capture the hidden feature structures so that fine-grained patient similarity can be calculated for personalized mortality risk prediction.

Decision Making Prediction

Designing and Evaluating Presentation Strategies for Fact-Checked Content

1 code implementation20 Aug 2023 Danula Hettiachchi, Kaixin Ji, Jenny Kennedy, Anthony McCosker, Flora D. Salim, Mark Sanderson, Falk Scholer, Damiano Spina

We address this research gap by exploring the critical design elements in fact-checking reports and investigating whether credibility and presentation-based design improvements can enhance users' ability to interpret the report accurately.

Articles Fact Checking +1

Contrastive Learning-based Imputation-Prediction Networks for In-hospital Mortality Risk Modeling using EHRs

1 code implementation19 Aug 2023 Yuxi Liu, Zhenhao Zhang, Shaowen Qin, Flora D. Salim, Antonio Jimeno Yepes

Existing approaches focus on exploiting the variable correlations in patient medical records to impute missing values and establishing time-decay mechanisms to deal with such irregularity.

Contrastive Learning Imputation +3

Continually learning out-of-distribution spatiotemporal data for robust energy forecasting

1 code implementation10 Jun 2023 Arian Prabowo, KaiXuan Chen, Hao Xue, Subbu Sethuvenkatraman, Flora D. Salim

One of the primary reasons for this is the shift in distribution of occupancy patterns, with many people working or learning from home.

Traffic Forecasting on New Roads Using Spatial Contrastive Pre-Training (SCPT)

1 code implementation9 May 2023 Arian Prabowo, Hao Xue, Wei Shao, Piotr Koniusz, Flora D. Salim

During inference, the spatial encoder only requires two days of traffic data on the new roads and does not require any re-training.

Contrastive Learning

Message Passing Neural Networks for Traffic Forecasting

no code implementations9 May 2023 Arian Prabowo, Hao Xue, Wei Shao, Piotr Koniusz, Flora D. Salim

A road network, in the context of traffic forecasting, is typically modeled as a graph where the nodes are sensors that measure traffic metrics (such as speed) at that location.

Equalised Odds is not Equal Individual Odds: Post-processing for Group and Individual Fairness

1 code implementation19 Apr 2023 Edward A. Small, Kacper Sokol, Daniel Manning, Flora D. Salim, Jeffrey Chan

Group fairness is achieved by equalising prediction distributions between protected sub-populations; individual fairness requires treating similar individuals alike.

Fairness

Detecting Change Intervals with Isolation Distributional Kernel

2 code implementations30 Dec 2022 Yang Cao, Ye Zhu, Kai Ming Ting, Flora D. Salim, Hong Xian Li, Luxing Yang, Gang Li

Detecting abrupt changes in data distribution is one of the most significant tasks in streaming data analysis.

Change Point Detection

SeqLink: A Robust Neural-ODE Architecture for Modelling Partially Observed Time Series

1 code implementation7 Dec 2022 Futoon M. Abushaqra, Hao Xue, Yongli Ren, Flora D. Salim

Ordinary Differential Equations (ODE) based models have become popular as foundation models for solving many time series problems.

Irregular Time Series Time Series +1

Integrated Convolutional and Recurrent Neural Networks for Health Risk Prediction using Patient Journey Data with Many Missing Values

no code implementations11 Nov 2022 Yuxi Liu, Shaowen Qin, Antonio Jimeno Yepes, Wei Shao, Zhenhao Zhang, Flora D. Salim

Our model can capture both long- and short-term temporal patterns within each patient journey and effectively handle the high degree of missingness in EHR data without any imputation data generation.

Decision Making Imputation +1

PromptCast: A New Prompt-based Learning Paradigm for Time Series Forecasting

2 code implementations20 Sep 2022 Hao Xue, Flora D. Salim

In this novel task, the numerical input and output are transformed into prompts and the forecasting task is framed in a sentence-to-sentence manner, making it possible to directly apply language models for forecasting purposes.

Language Modelling Representation Learning +6

Leveraging Language Foundation Models for Human Mobility Forecasting

1 code implementation11 Sep 2022 Hao Xue, Bhanu Prakash Voutharoja, Flora D. Salim

In this paper, we propose a novel pipeline that leverages language foundation models for temporal sequential pattern mining, such as for human mobility forecasting tasks.

Decoder Sequential Pattern Mining +1

COCOA: Cross Modality Contrastive Learning for Sensor Data

1 code implementation31 Jul 2022 Shohreh Deldari, Hao Xue, Aaqib Saeed, Daniel V. Smith, Flora D. Salim

Contrastive Learning (CL) is one of the most well-known approaches in SSL that attempts to learn general, informative representations of data.

Contrastive Learning Self-Supervised Learning

Beyond Just Vision: A Review on Self-Supervised Representation Learning on Multimodal and Temporal Data

no code implementations6 Jun 2022 Shohreh Deldari, Hao Xue, Aaqib Saeed, Jiayuan He, Daniel V. Smith, Flora D. Salim

Unlike existing reviews of SSRL that have pre-dominately focused upon methods in the fields of CV or NLP for a single modality, we aim to provide the first comprehensive review of multimodal self-supervised learning methods for temporal data.

Representation Learning Self-Supervised Learning +2

Measuring disentangled generative spatio-temporal representation

1 code implementation10 Feb 2022 Sichen Zhao, Wei Shao, Jeffrey Chan, Flora D. Salim

Disentangled representation learning offers useful properties such as dimension reduction and interpretability, which are essential to modern deep learning approaches.

Deep Learning Dimensionality Reduction +1

Event-Aware Multimodal Mobility Nowcasting

1 code implementation14 Dec 2021 Zhaonan Wang, Renhe Jiang, Hao Xue, Flora D. Salim, Xuan Song, Ryosuke Shibasaki

As a decisive part in the success of Mobility-as-a-Service (MaaS), spatio-temporal predictive modeling for crowd movements is a challenging task particularly considering scenarios where societal events drive mobility behavior deviated from the normality.

MobTCast: Leveraging Auxiliary Trajectory Forecasting for Human Mobility Prediction

no code implementations NeurIPS 2021 Hao Xue, Flora D. Salim, Yongli Ren, Nuria Oliver

Furthermore, unlike existing methods, we introduce a location prediction branch in MobTCast as an auxiliary task to model the geographical context and predict the next location.

Prediction Trajectory Forecasting

Spatio-temporal Disentangled representation learning for mobility prediction

no code implementations29 Sep 2021 Sichen Zhao, Wei Shao, Jeffrey Chan, Flora D. Salim

In this work, we propose a VAE-based architecture for learning the disentangled representation from real spatio-temporal data for mobility forecasting.

Management Prediction +1

CoSEM: Contextual and Semantic Embedding for App Usage Prediction

no code implementations26 Aug 2021 Yonchanok Khaokaew, Mohammad Saiedur Rahaman, Ryen W. White, Flora D. Salim

App usage prediction is important for smartphone system optimization to enhance user experience.

Prediction

Evolutionary Ensemble Learning for Multivariate Time Series Prediction

no code implementations22 Aug 2021 Hui Song, A. K. Qin, Flora D. Salim

In this framework, a specific pipeline is encoded as a candidate solution and a multi-objective evolutionary algorithm is applied under different population sizes to produce multiple Pareto optimal sets (POSs).

Ensemble Learning Prediction +2

MoParkeR : Multi-objective Parking Recommendation

no code implementations10 Jun 2021 Mohammad Saiedur Rahaman, Wei Shao, Flora D. Salim, Ayad Turky, Andy Song, Jeffrey Chan, Junliang Jiang, Doug Bradbrook

Existing parking recommendation solutions mainly focus on finding and suggesting parking spaces based on the unoccupied options only.

Recommendation Systems

Predicting Flight Delay with Spatio-Temporal Trajectory Convolutional Network and Airport Situational Awareness Map

no code implementations19 May 2021 Wei Shao, Arian Prabowo, Sichen Zhao, Piotr Koniusz, Flora D. Salim

To model and forecast flight delays accurately, it is crucial to harness various vehicle trajectory and contextual sensor data on airport tarmac areas.

Exploring Self-Supervised Representation Ensembles for COVID-19 Cough Classification

no code implementations17 May 2021 Hao Xue, Flora D. Salim

The pre-trained feature encoder is then fine-tuned in the downstream phase to perform cough classification.

Classification Cough Classification +2

Drone-as-a-Service Composition Under Uncertainty

no code implementations11 Mar 2021 Ali Hamdi, Flora D. Salim, Du Yong Kim, Azadeh Ghari Neiat, Athman Bouguettaya

Specifically, we propose a service model of DaaS based on the dynamic spatiotemporal features of drones and their in-flight contexts.

Scheduling Service Composition

Time Series Change Point Detection with Self-Supervised Contrastive Predictive Coding

2 code implementations28 Nov 2020 Shohreh Deldari, Daniel V. Smith, Hao Xue, Flora D. Salim

Change Point Detection (CPD) methods identify the times associated with changes in the trends and properties of time series data in order to describe the underlying behaviour of the system.

Anomaly Detection Change Point Detection +4

Joint Modelling of Cyber Activities and Physical Context to Improve Prediction of Visitor Behaviors

no code implementations26 Aug 2020 Manpreet Kaur, Flora D. Salim, Yongli Ren, Jeffrey Chan, Martin Tomko, Mark Sanderson

This paper investigates the Cyber-Physical behavior of users in a large indoor shopping mall by leveraging anonymized (opt in) Wi-Fi association and browsing logs recorded by the mall operators.

intent-classification Intent Classification

Generative Adversarial Networks for Spatio-temporal Data: A Survey

no code implementations18 Aug 2020 Nan Gao, Hao Xue, Wei Shao, Sichen Zhao, Kyle Kai Qin, Arian Prabowo, Mohammad Saiedur Rahaman, Flora D. Salim

Generative Adversarial Networks (GANs) have shown remarkable success in producing realistic-looking images in the computer vision area.

Imputation Survey +3

Multi-officer Routing for Patrolling High Risk Areas Jointly Learned from Check-ins, Crime and Incident Response Data

no code implementations31 Jul 2020 Shakila Khan Rumi, Kyle K. Qin, Flora D. Salim

In this paper, we formulate the dynamic crime patrol planning problem for multiple police officers using check-ins, crime, incident response data, and POI information.

point of interests

flexgrid2vec: Learning Efficient Visual Representations Vectors

no code implementations30 Jul 2020 Ali Hamdi, Du Yong Kim, Flora D. Salim

We compare the performance of flexgrid2vec with a set of state-of-the-art visual representation learning models on binary and multi-class image classification tasks.

image-classification Image Classification +2

G-CREWE: Graph CompREssion With Embedding for Network Alignment

1 code implementation30 Jul 2020 Kyle K. Qin, Flora D. Salim, Yongli Ren, Wei Shao, Mark Heimann, Danai Koutra

In this paper, we propose a framework, called G-CREWE (Graph CompREssion With Embedding) to solve the network alignment problem.

Federated Self-Supervised Learning of Multi-Sensor Representations for Embedded Intelligence

no code implementations25 Jul 2020 Aaqib Saeed, Flora D. Salim, Tanir Ozcelebi, Johan Lukkien

Federated learning provides a compelling framework for learning models from decentralized data, but conventionally, it assumes the availability of labeled samples, whereas on-device data are generally either unlabeled or cannot be annotated readily through user interaction.

Federated Learning Self-Supervised Learning +1

ESPRESSO: Entropy and ShaPe awaRe timE-Series SegmentatiOn for processing heterogeneous sensor data

1 code implementation24 Jul 2020 Shohreh Deldari, Daniel V. Smith, Amin Sadri, Flora D. Salim

Extracting informative and meaningful temporal segments from high-dimensional wearable sensor data, smart devices, or IoT data is a vital preprocessing step in applications such as Human Activity Recognition (HAR), trajectory prediction, gesture recognition, and lifelogging.

Ranked #3 on Change Point Detection on TSSB (Covering metric)

Change Point Detection Gesture Recognition +4

An Ambient-Physical System to Infer Concentration in Open-plan Workplace

no code implementations27 May 2020 Mohammad Saiedur Rahaman, Jonathan Liono, Yongli Ren, Jeffrey Chan, Shaw Kudo, Tim Rawling, Flora D. Salim

One of the core challenges in open-plan workspaces is to ensure a good level of concentration for the workers while performing their tasks.

Transfer Learning for Thermal Comfort Prediction in Multiple Cities

no code implementations29 Apr 2020 Nan Gao, Wei Shao, Mohammad Saiedur Rahaman, Jun Zhai, Klaus David, Flora D. Salim

The main purpose of HVAC, maintaining appropriate thermal comfort, is crucial for the best utilisation of energy usage.

Transfer Learning

Relation Embedding for Personalised POI Recommendation

no code implementations9 Feb 2020 Xianjing Wang, Flora D. Salim, Yongli Ren, Piotr Koniusz

Point-of-Interest (POI) recommendation is one of the most important location-based services helping people discover interesting venues or services.

Knowledge Graph Embedding Relation +1

COLTRANE: ConvolutiOnaL TRAjectory NEtwork for Deep Map Inference

no code implementations24 Sep 2019 Arian Prabowo, Piotr Koniusz, Wei Shao, Flora D. Salim

This paper introduces COLTRANE, ConvolutiOnaL TRAjectory NEtwork, a novel deep map inference framework which operates on GPS trajectories collected in various environments.

DeepObfuscator: Obfuscating Intermediate Representations with Privacy-Preserving Adversarial Learning on Smartphones

no code implementations9 Sep 2019 Ang Li, Jiayi Guo, Huanrui Yang, Flora D. Salim, Yiran Chen

Our experiments on CelebA and LFW datasets show that the quality of the reconstructed images from the obfuscated features of the raw image is dramatically decreased from 0. 9458 to 0. 3175 in terms of multi-scale structural similarity.

General Classification Image Classification +3

Modelling Regional Crime Risk using Directed Graph of Check-ins

no code implementations25 Jul 2019 Shakila Khan Rumi, Flora D. Salim

The mobility dynamics inferred from Foursquare helps us understanding urban social events like crime In this paper, we propose a directed graph from the aggregated movement between regions using Foursquare data.

regression

Approximating Optimisation Solutions for Travelling Officer Problem with Customised Deep Learning Network

no code implementations8 Mar 2019 Wei Shao, Flora D. Salim, Jeffrey Chan, Sean Morrison, Fabio Zambetta

Deep learning has been extended to a number of new domains with critical success, though some traditional orienteering problems such as the Travelling Salesman Problem (TSP) and its variants are not commonly solved using such techniques.

Deep Learning General Classification

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