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Publications

2025

• Junhua Liu, Aldy Gunawan, Kristin L. Wood and Kwan Hui Lim. Optimizing Group Utility in Itinerary Planning: A Strategic and Crowd-Aware Approach. Journal of Big Data. In Press.
• Kunrong Li and Kwan Hui Lim. RALLM-POI: Retrieval Augmented LLM for Zero-shot Next POI Recommendation with Geographical Reranking. Proceedings of the 22nd Pacific Rim International Conference on Artificial Intelligence (PRICAI'25). pp. to appear. Nov 2025.
• Junhua Liu, Yong Keat Tan, Bin Fu and Kwan Hui Lim. From Intents to Conversations: Generating Intent-Driven Dialogues with Contrastive Learning for Multi-Turn Classification. Proceedings of the 34th ACM International Conference on Information and Knowledge Management (CIKM'25). pp. to appear. Nov 2025.
• Wenchuan Mu and Kwan Hui Lim. Get Global Guarantees: On the Probabilistic Nature of Perturbation Robustness. Proceedings of the 34th ACM International Conference on Information and Knowledge Management (CIKM'25). pp. to appear. Nov 2025.
• Wenchuan Mu and Kwan Hui Lim. Bayesian Privacy Guarantee for User History in Sequential Recommendation Using Randomised Response. Proceedings of the 34th ACM International Conference on Information and Knowledge Management (CIKM'25). pp. to appear. Nov 2025.
• Junhua Liu, Roy Ka-Wei Lee and Kwan Hui Lim. Understanding Fairness-Accuracy Trade-offs in Machine Learning Models: Does Promoting Fairness Undermine Performance?. Proceedings of the 17th International Conference on Advances in Social Networks Analysis and Mining (ASONAM'25). pp. to appear. Aug 2025.
• Junhua Liu, Roy Ka-Wei Lee and Kwan Hui Lim. BGM-HAN: A Hierarchical Attention Network for Accurate and Fair Decision Assessment on Semi-Structured Profiles. Proceedings of the 17th International Conference on Advances in Social Networks Analysis and Mining (ASONAM'25). pp. to appear. Aug 2025.
• Wenchuan Mu, Menglin Li and Kwan Hui Lim. A Social Data-Driven System for Identifying Estate-related Events and Topics. Proceedings of the 17th International Conference on Advances in Social Networks Analysis and Mining (ASONAM'25), Demonstration Track. pp. to appear. Aug 2025.
• Dang Viet Anh Nguyen, Aldy Gunawan, Mustafa Misir, Kwan Hui Lim and Pieter Vansteenwegen. Deep Reinforcement Learning for Solving the Stochastic E-Waste Collection Problem. European Journal of Operational Research. Accepted to appear. In Press.
• Sajal Halder, Kwan Hui Lim, Jeffrey Chan and Xiuzhen Zhang. Deep Learning of Dynamic POI Generation and Optimisation for Itinerary Recommendation. ACM Transactions on Recommender Systems. Accepted to appear. In Press.
• Wenchuan Mu and Kwan Hui Lim. Data-free Functional Projection of Large Language Models onto Social Media Tagging Domain. Proceedings of the 31st International Conference on MultiMedia Modeling (MMM'25). pp. to appear. Jan 2025.

2024

• Wenchuan Mu, Junhua Liu and Kwan Hui Lim. Fast Bibliography Pre-Selection via Two-Vector Semantic Representations. Proceedings of the 2024 ACM/IEEE Joint Conference on Digital Libraries (JCDL'24). pp. to appear. Dec 2024.
• Glenn Jin Wee Chia and Kwan Hui Lim. Analysing and Predicting Success of Crowdfunding Campaigns. Proceedings of the 2024 ACM/IEEE Joint Conference on Digital Libraries (JCDL'24), Poster Track. pp. to appear. Dec 2024.
• Linus Xin Wei Cheng, Daniel Wai Kit Chin, Shaun Toh, Wenchuan Mu, James Kay Liang Ong, Kenny Tsu Wei Choo, Roy Ka-Wei Lee and Kwan Hui Lim. InfoTrace: A System for Information Campaign Source Tracing and Analysis on Social Media. Proceedings of the 2024 ACM/IEEE Joint Conference on Digital Libraries (JCDL'24), Demonstration Track. pp. to appear. Dec 2024.
• Junhua Liu, Yong Keat Tan, Bin Fu and Kwan Hui Lim. Linguistics-Adaptive Retrieval Augmentation for Multi-Turn Intent Classification. Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing (EMNLP'24), Industry Track. pp. to appear. Nov 2024.
• Chin Wai Kit Daniel, Kwan Hui Lim and Roy Ka-Wei Lee. RumorGraphXplainer: Do Structures Really Matter in Rumor Detection. IEEE Transactions on Computational Social Systems}. Volume 11, Issue 5, pp. 6038-6055. IEEE. Oct 2024.
• Wei Chien Benny Chin, Yuming Fu, Kwan Hui Lim, Thomas Schroepfer and Lynette Cheah. Identifying Urban Functional Zones by Analysing the Spatial Distribution of Amenities. Environment and Planning B: Urban Analytics and City Science. Volume 51, Issue 6, pp. 1274-1289. Sage. Jul 2024.
• Wenchuan Mu and Kwan Hui Lim. Label-Free Topic-Focused Summarization Using Query Augmentation. Proceedings of the 2024 International Joint Conference on Neural Networks (IJCNN'24). pp. 1-8. Jun 2024.
• Junhua Liu, Justin Albrethsen, Lincoln Goh, David Yau and Kwan Hui Lim. Spatial-Temporal Graph Representation Learning for Tactical Networks Future State Prediction. Proceedings of the 2024 International Joint Conference on Neural Networks (IJCNN'24). pp. 1-8. Jun 2024.
• Menglin Li and Kwan Hui Lim. Enhancing Language Models for Financial Relation Extraction with Named Entities and Part-of-Speech. Proceedings of the Twelfth International Conference on Learning Representations (ICLR'24), Tiny Paper Track. pp. 1-6. May 2024.
• Wenchuan Mu and Kwan Hui Lim. Explicitly Stating Assumptions Reduces Hallucinations in Natural Language Inference. Proceedings of the Twelfth International Conference on Learning Representations (ICLR'24), Tiny Paper Track. pp. 1-6. May 2024.
• Wenchuan Mu and Kwan Hui Lim. Towards Precise Observations of Neural Model Robustness in Classification. Proceedings of the 46th IEEE/ACM International Conference on Software Engineering Companion (ICSE'24), Poster Track. pp. 388-389. Apr 2024.
• Sajal Halder, Kwan Hui Lim, Jeffrey Chan and Xiuzhen Zhang. A Survey on Personalized Itinerary Recommendation: From Optimisation to Deep Learning. Applied Soft Computing. Volume 152, Article 111200, pp. 1-14. Elsevier. Feb 2024.

2023

• Andrew Z. H. Yee, Ryan Yu, Sun Sun Lim, Kwan Hui Lim, Tien Tuan Anh Dinh, Lionell Loh, Andre Hadianto and Miguel Quizon. ScreenLife Capture: An Open-source and User-friendly Framework for Collecting Screenomes from Android Smartphones. Behavior Research Methods. Volume 55, Issue 8, pp. 4068-4085. Springer. Dec 2023.
• Ngai Lam Ho, Roy Ka-Wei Lee and Kwan Hui Lim. SBTRec - A Transformer Framework for Personalized Tour Recommendation Problem with Sentiment Analysis. Proceedings of the 2023 IEEE International Conference on Big Data (BigData'23). pp. 5790-5798. Dec 2023.
• Sajal Halder, Kwan Hui Lim, Jeffrey Chan and Xiuzhen Zhang. Capacity-Aware Fair POI Recommendation Combining Transformer Neural Networks and Resource Allocation Policy. Applied Soft Computing. Volume 147, Article 110720, pp. 1-13. Elsevier. Nov 2023.
• Yakhoub Ndiaye, Kwan Hui Lim and Lucienne Blessing. Eye Tracking and Artificial Intelligence for Competency Assessment in Engineering Education: A Review. Frontiers in Education. Volume 8, Article 1170348, pp. 1-16. Frontiers. Nov 2023.
• Wenchuan Mu and Kwan Hui Lim. Modelling Text Similarity: A Survey. Proceedings of the 2023 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM'23). pp. 698-705. Nov 2023.
• Trisha Singhal, Junhua Liu, Wenchuan Mu, Lucienne T. M. Blessing and Kwan Hui Lim. Photozilla: An Image Dataset of Photography Styles and its Application to Visual Embedding and Style Detection. Proceedings of the 2023 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM'23), Demonstration Track. pp. 445-449. Nov 2023.
• Ngai Lam Ho, Roy Ka-Wei Lee and Kwan Hui Lim. BTRec: BERT-based Trajectory Recommendation for Personalized Tours. Proceedings of the Workshop on Recommenders in Tourism (RecTour'23), in-conjunction with the 17th ACM Conference on Recommender Systems (RecSys'23). pp. 29-38. Sep 2023.
• Ngai Lam Ho and Kwan Hui Lim. Utilizing Language Models for Tour Itinerary Recommendation. Proceedings of the Workshop on Process Management in the AI Era (PMAI'23), in-conjunction with the 32nd International Joint Conference on Artificial Intelligence (IJCAI'23). pp. 37-40. Aug 2023.
• Menglin Li, Kwan Hui Lim, Teng Guo and Junhua Liu. A Transformer-based Framework for POI-level Social Post Geolocation. Proceedings of the 45th European Conference on Information Retrieval (ECIR'23). pp. 588-604. Apr 2023.
• Xiang Qian Ong and Kwan Hui Lim. SkillRec: A Data-Driven Approach to Job Skill Recommendation for Career Insights. Proceedings of the 15th International Conference on Computer and Automation Engineering (ICCAE'23). pp. 40-44. Mar 2023.

2022

• Ngai Lam Ho and Kwan Hui Lim. POIBERT: A Transformer-based Model for the Tour Recommendation Problem. Proceedings of the 2022 IEEE International Conference on Big Data (BigData'22). pp. 5925-5933. Dec 2022.
• Wenchuan Mu and Kwan Hui Lim. Universal Evasion Attacks on Summarization Scoring. Proceedings of the Fifth BlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP (BlackboxNLP'22), in-conjunction with the 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP'22). pp. 104-118. Dec 2022.
• Wenchuan Mu and Kwan Hui Lim. Revision for Concision: A Constrained Paraphrase Generation Task. Proceedings of the 2022 Workshop on Text Simplification, Accessibility, and Readability (TSAR'22), in-conjunction with the 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP'22). pp. 57-76. Dec 2022.
• Sajal Halder, Kwan Hui Lim, Jeffrey Chan and Xiuzhen Zhang. POI Recommendation with Queuing Time and User Interest Awareness. Data Mining and Knowledge Discovery. Volume 36, Issue 6, pp. 2379-2409. Springer. Nov 2022.
• Junhua Liu, Yung Chuen Ng, Zitong Gui, Trisha Singhal, Lucienne T. M. Blessing, Kristin L. Wood and Kwan Hui Lim. Title2Vec: A Contextual Job Title Embedding for Occupational Named Entity Recognition and Other Applications. Journal of Big Data. Volume 9, Article 99, pp. 1-16. Springer London. Sep 2022.
• Wenchuan Mu, Kwan Hui Lim, Junhua Liu, Shanika Karunasekera, Lucia Falzon and Aaron Harwood. A Clustering-based Topic Model using Word Networks and Word Embeddings. Journal of Big Data. Volume 9, Article 38, pp. 1-38. Springer London. Apr 2022.
• Sajal Halder, Kwan Hui Lim, Jeffrey Chan and Xiuzhen Zhang. Efficient Itinerary Recommendation via Personalized POI Selection and Pruning.. Knowledge and Information Systems. Volume 64, Issue 4, pp. 963–993. Springer. Apr 2022.
• Menglin Li and Kwan Hui Lim. Geotagging Social Media Posts to Landmarks Using Hierarchical BERT (Student Abstract). Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence (AAAI'22). pp. 12999-13000. Feb 2022.

2021

• Trisha Singhal, Junhua Liu, Lucienne T. M. Blessing and Kwan Hui Lim. Analyzing Scientific Publications using Domain-Specific Word Embedding and Topic Modelling. Proceedings of the 2021 IEEE International Conference on Big Data (BigData'21). pp. 4965-4973. Dec 2021.
• Junhua Liu, Trisha Singhal, Lucienne T.M. Blessing, Kristin L. Wood and Kwan Hui Lim. CrisisBERT: A Robust Transformer for Crisis Classification and Contextual Crisis Embedding. Proceedings of the 32nd ACM Conference on Hypertext and Social Media (HT'21). pp. 133-141. Aug 2021.
• Junhua Liu, Kwan Hui Lim, Kristin L. Wood, Wei Huang, Chu Guo and He-Liang Huang. Hybrid Quantum-Classical Convolutional Neural Networks. SCIENCE CHINA Physics, Mechanics & Astronomy. Volume 64, Article 9, pp. 1-8. Springer. Aug 2021.
• Prashant Solanki, Kwan Hui Lim and Aaron Harwood. User Identification across Social Networking Sites using User Profiles and Posting Patterns. Proceedings of the 2021 International Joint Conference on Neural Networks (IJCNN'21). pp. 1-8. Jul 2021.
• Yasmeen George, Shanika Karunasekera, Aaron Harwood and Kwan Hui Lim. Real-time Spatio-temporal Event Detection on Geotagged Social Media. Journal of Big Data. Volume 8, Article 91, pp. 1-28. Springer London. Jun 2021.
• Trisha Singhal, Junhua Liu, Lucienne T.M. Blessing and Kwan Hui Lim. Photozilla: A Large-Scale Photography Dataset and Visual Embedding for 20 Photography Styles. Proceedings of the 9th Women in Computer Vision Workshop (WiCV'21), in-conjunction with the 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR'21). Jun 2021.
• Sajal Halder, Kwan Hui Lim, Jeffrey Chan and Xiuzhen Zhang. Transformer-based Multi-task Learning for Queuing Time Aware Next POI Recommendation. Proceedings of the 25th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD'21). pp. 510-523. May 2021.
• Ngai Lam Ho and Kwan Hui Lim. User Preferential Tour Recommendation Based on POI-Embedding Methods. Proceedings of the 26th International Conference on Intelligent User Interfaces Companion (IUI'21), Poster Track. pp. 46-48. Apr 2021.
• Jolin Shaynn-Ly Kwan and Kwan Hui Lim. TweetCOVID: A System for Analyzing Public Sentiments and Discussions about COVID-19 via Twitter Activities. Proceedings of the 26th International Conference on Intelligent User Interfaces Companion (IUI'21), Demo Track. pp. 58-60. Apr 2021.

2020

• Junhua Liu, Trisha Singhal, Lucienne T.M. Blessing, Kristin L. Wood and Kwan Hui Lim. EPIC30M: An Epidemics Corpus of Over 30 Million Relevant Tweets. Proceedings of the 2020 IEEE International Conference on Big Data (BigData'20). pp. 1206-1215. Dec 2020.
• Marcus Yong and Kwan Hui Lim. Urban Heat Islands: Beating the Heat with Multi-Modal Spatial Analysis. Proceedings of the 2020 IEEE International Conference on Big Data (BigData'20). pp. 4818-4827. Dec 2020.
• Jerome Heng, Junhua Liu and Kwan Hui Lim. Urban Crowdsensing using Social Media: An Empirical Study on Transformer and Recurrent Neural Networks. Proceedings of the 2020 IEEE International Conference on Big Data (BigData'20), Poster Track. pp. 5695-5697. Dec 2020.
• Jolin Shaynn-Ly Kwan and Kwan Hui Lim. Understanding Public Sentiments, Opinions and Topics about COVID-19 using Twitter. Proceedings of the 2020 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM'20), Multidisciplinary Track. pp. 623-626. Dec 2020.
• Yan Zhang, Ruidan He, Zuozhu Liu, Kwan Hui Lim and Lidong Bing. An Unsupervised Sentence Embedding Method by Mutual Information Maximization. Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP'20). pp. 1601-1610. Nov 2020.
• Junhua Liu, Lionell Loh, Ernest Ng, Yijia Chen, Kristin L. Wood and Kwan Hui Lim. Self-Evolving Adaptive Learning for Personalized Education. Proceedings of the 2020 ACM Conference on Computer Supported Cooperative Work and Social Computing Companion (CSCW'20), Poster Track. pp. 317–321. Oct 2020.
• Junhua Liu, Yung Chuen Ng, Kristin L. Wood and Kwan Hui Lim. IPOD: A Large-scale Industrial and Professional Occupation Dataset. Proceedings of the 2020 ACM Conference on Computer Supported Cooperative Work and Social Computing Companion (CSCW'20), Poster Track. pp. 323–328. Oct 2020.
• Junhua Liu, Kristin L. Wood and Kwan Hui Lim. Strategic and Crowd-aware Itinerary Recommendation. Proceedings of the 2020 European Conference on Machine Learning and Knowledge Discovery in Databases (ECML-PKDD'20). pp. 69-85. Sep 2020.

2019

• Prarthana Padia, Kwan Hui Lim, Jeffrey Chan and Aaron Harwood. Sentiment-Aware and Personalized Tour Recommendation. Proceedings of the 2019 IEEE International Conference on Big Data (BigData'19). pp. 900-909. Dec 2019.
• Yasmeen George, Shanika Karunasekera, Aaron Harwood and Kwan Hui Lim. Spatio-temporal Event Detection using Poisson Model and Quad-tree on Geotagged Social Media. Proceedings of the 2019 IEEE International Conference on Big Data (BigData'19). pp. 2247-2256. Dec 2019.
• Yun Ning Pek and Kwan Hui Lim. Identifying and Understanding Business Trends using Topic Models with Word Embedding. Proceedings of the 2019 IEEE International Conference on Big Data (BigData'19), Poster Track. pp. 6177-6179. Dec 2019.
• Kwan Hui Lim, Jeffrey Chan, Christopher Leckie and Shanika Karunasekera. Tour Recommendation and Trip Planning using Location-based Social Media: A Survey. Knowledge and Information Systems. Volume 60, Issue 3, pp. 1247-1275. Springer. Sep 2019.
• Kwan Hui Lim, Kate E. Lee, Dave Kendal, Lida Rashidi, Elham Naghizade, Yungang Feng and Jia Wang. Understanding Sentiments and Activities in Green Spaces using a Social Data-driven Approach. Smart Cities: Issues and Challenges: Mapping Political, Social and Economic Risks and Threats. pp. 77-107. Elsevier. Jun 2019.
• Kwan Hui Lim, Shanika Karunasekera, Aaron Harwood and Yasmeen George. Geotagging Tweets to Landmarks using Convolutional Neural Networks with Text and Posting Time. Proceedings of the 24th International Conference on Intelligent User Interfaces Companion (IUI'19), Poster Track. pp. 61-62. Mar 2019.
• Prarthana Padia, Bhavya Singhal and Kwan Hui Lim. User-relative Personalized Tour Recommendation. Proceedings of the 2019 Workshop on User Interfaces for Spatial and Temporal Data Analysis (UISTDA'19), in-conjunction with the 24th International Conference on Intelligent User Interfaces Companion (IUI'19). Mar 2019.

2018

• Kwan Hui Lim, Sachini Jayasekara, Shanika Karunasekera, Aaron Harwood, Lucia Falzon, John Dunn and Glenn Burgess. RAPID: Real-time Analytics Platform for Interactive Data Mining. Proceedings of the 2018 European Conference on Machine Learning and Knowledge Discovery in Databases (ECML-PKDD'18), Demonstration Track. pp. 649-653. Sep 2018.
• Shanika Karunasekera, Kwan Hui Lim and Aaron Harwood. Mining Influentials and their Bot Activities on Twitter Campaigns. Proceedings of the 7th International Workshop on New Frontiers in Mining Complex Patterns (NFMCP'18), in-conjunction with ECML-PKDD'18. Sep 2018.
• Kwan Hui Lim, Kate E. Lee, Dave Kendal, Lida Rashidi, Elham Naghizade, Stephan Winter and Maria Vasardani. The Grass is Greener on the Other Side: Understanding the Effects of Green Spaces on Twitter User Sentiments. Proceedings of the 2018 Web Conference Companion (WWW'18), Cognitive Computing Track. pp. 275-282. Apr 2018.
• Kendall Taylor, Kwan Hui Lim and Jeffrey Chan. Travel Itinerary Recommendations with Must-see Points-of-Interest. Proceedings of the 2018 Web Conference Companion (WWW'18), 8th International Workshop on Location and the Web (LocWeb'18). pp. 1198-1205. Apr 2018.
• Jia Wang, Yungang Feng, Elham Naghizade, Lida Rashidi, Kwan Hui Lim and Kate E. Lee. Happiness is a Choice: Sentiment and Activity-Aware Location Recommendation. Proceedings of the 2018 Web Conference Companion (WWW'18), Workshop on Online Recommender Systems and User Modeling (ORSUM'18). pp. 1401-1405. Apr 2018.
• Kwan Hui Lim, Jeffrey Chan, Christopher Leckie and Shanika Karunasekera. Personalized Trip Recommendation for Tourists based on User Interests, Points of Interest Visit Durations and Visit Recency. Knowledge and Information Systems. Volume 54, Issue 2, pp. 375-406. Springer-Verlag London. Feb 2018.

2017

• Kwan Hui Lim, Shanika Karunasekera and Aaron Harwood. ClusTop: A Clustering-based Topic Modelling Algorithm for Twitter using Word Networks. Proceedings of the 2017 IEEE International Conference on Big Data (BigData'17). pp. 2009-2018. Dec 2017.
• Kwan Hui Lim, Shanika Karunasekera, Aaron Harwood and Lucia Falzon. Spatial-based Topic Modelling using Wikidata Knowledge Base. Proceedings of the 2017 IEEE International Conference on Big Data (BigData'17). pp. 4786-4788. Dec 2017.
• Kwan Hui Lim, Jeffrey Chan, Shanika Karunasekera and Christopher Leckie. Personalized Itinerary Recommendation with Queuing Time Awareness. Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR'17). pp. 325-334. Aug 2017.

2016

• Lianhua Chi, Kwan Hui Lim, Nebula Alam and Christopher J. Butler. Geolocation Prediction in Twitter Using Location Indicative Words and Textual Features. Proceedings of the 2nd Workshop on Noisy User-generated Text (WNUT'16), in-conjunction with the 26th International Conference on Computational Linguistics (COLING'16). pp. 227-234. Dec 2016.
• Xiaoting Wang, Christopher Leckie, Jeffery Chan, Kwan Hui Lim and Tharshan Vaithianathan. Improving Personalized Trip Recommendation to Avoid Crowds Using Pedestrian Sensor Data. Proceedings of the 25th ACM International Conference on Information and Knowledge Management (CIKM'16). pp. 25-34. Oct 2016.
• Kwan Hui Lim, Xiaoting Wang, Jeffrey Chan, Shanika Karunasekera, Christopher Leckie, Yehui Chen, Cheong Loong Tan, Fu Quan Gao and Teh Ken Wee. PersTour: A Personalized Tour Recommendation and Planning System. Extended Proceedings of the 27th ACM Conference on Hypertext and Social Media (HT'16), Demonstration Track. Jul 2016.
• Kwan Hui Lim. Personalized Recommendation of Travel Itineraries based on Tourist Interests and Preferences. Extended Proceedings of the 24th Conference on User Modeling, Adaptation and Personalization (UMAP'16), Doctoral Consortium. Jul 2016.
• Kwan Hui Lim, Ee-Peng Lim, Binyan Jiang and Palakorn Achananuparp. Using Online Controlled Experiments to Examine Authority Effects on User Behavior in Email Campaigns. Proceedings of the 27th ACM Conference on Hypertext and Social Media (HT'16). pp. 255-260. Jul 2016.
• Kwan Hui Lim, Jeffrey Chan, Christopher Leckie and Shanika Karunasekera. Towards Next Generation Touring: Personalized Group Tours. Proceedings of the 26th International Conference on Automated Planning and Scheduling (ICAPS'16). pp. 412-420. Jun 2016.
• Kwan Hui Lim. Recommending and Planning Trip Itineraries for Individual Travellers and Groups of Tourists. Proceedings of the 26th International Conference on Automated Planning and Scheduling (ICAPS'16), Doctoral Consortium. pp. 115-120. Jun 2016.
• Kwan Hui Lim and Amitava Datta. An Interaction-based Approach to Detecting Highly Interactive Twitter Communities using Tweeting Links. Web Intelligence. Volume 14, Number 1, pp. 1-15. IOS Press. Feb 2016.

2015

• Kwan Hui Lim, Jeffrey Chan, Christopher Leckie and Shanika Karunasekera. Personalized Tour Recommendation based on User Interests and Points of Interest Visit Durations. Proceedings of the 24th International Joint Conference on Artificial Intelligence (IJCAI'15). pp. 1778-1784. Jul 2015.
• Kwan Hui Lim, Ee-Peng Lim, Binyan Jiang and Palakorn Achananuparp. Online Experiments of Authority Effects on User Behavior in Email Campaigns. Proceedings of the 2015 International Conference on Computational Social Science (IC2S2'15). Jun 2015.
• Kwan Hui Lim. Recommending Tours and Places-of-Interest based on User Interests from Geo-tagged Photos. Proceedings of the 2015 SIGMOD PhD Symposium (SIGMOD'15). pp. 33-38. May 2015.
• Kwan Hui Lim, Jeffrey Chan, Christopher Leckie and Shanika Karunasekera. Detecting Location-centric Communities using Social-Spatial Links with Temporal Constraints. Proceedings of the 37th European Conference on Information Retrieval (ECIR'15). pp. 489-494. Mar 2015.
• Kwan Hui Lim, Jeffrey Chan, Christopher Leckie and Shanika Karunasekera. Improving Location Prediction using a Social Historical Model with Strict Recency Context. Proceedings of the 5th Workshop on Context-awareness in Retrieval and Recommendation (CaRR'15), in-conjunction with the 37th European Conference on Information Retrieval (ECIR'15). Mar 2015.

2014

• Kwan Hui Lim, Ee-Peng Lim, Palakorn Achananuparp, Adrian Vu, Agus Trisnajaya Kwee and Feida Zhu. LASER: A Living AnalyticS ExpeRimentation System for Large-scale Online Controlled Experiments. Proceedings of the 23rd International Conference on World Wide Web Companion (WWW'14), Demonstration Track. pp. 71-74. Apr 2014.
• Kwan Hui Lim, Binyan Jiang, Ee-Peng Lim and Palakorn Achananuparp. Do you know the speaker? An online experiment with authority messages on event websites. Proceedings of the 23rd International Conference on World Wide Web Companion (WWW'14), Connecting Online & Offline Life Workshop (COOL'14). pp. 1247-1252. Apr 2014.

2013

• Kwan Hui Lim and Amitava Datta. A Topological Approach for Detecting Twitter Communities with Common Interests. Ubiquitous Social Media Analysis. LNCS Vol. 8329. pp. 23-43. Springer-Verlag. Dec 2013.
• Kwan Hui Lim, Amitava Datta and Michael Wise. A Preliminary Study on the Effects of Barnstars on Wikipedia Editing. Proceedings of the 9th International Symposium on Wikis and Open Collaboration (WikiSym'13). Article 23 (2pg). Aug 2013.
• Kwan Hui Lim and Amitava Datta. Interest Classification of Twitter Users using Wikipedia. Proceedings of the 9th International Symposium on Wikis and Open Collaboration (WikiSym'13). Article 22 (2pg). Aug 2013.
• Kwan Hui Lim and Amitava Datta. A Seed-Centric Community Detection Algorithm based on an Expanding Ring Search. Proceedings of the 1st Australasian Web Conference (AWC'13). CRPIT Vol. 144. pp. 21-25. Jan 2013.

2012

• Kwan Hui Lim and Amitava Datta. Tweets Beget Propinquity: Detecting Highly Interactive Communities on Twitter using Tweeting Links. Proceedings of the 2012 IEEE/WIC/ACM International Conference on Web Intelligence (WI'12). pp. 214-221. Dec 2012.
• Kwan Hui Lim and Amitava Datta. Enhancing the TORA Protocol using Network Localization and Selective Node Participation. Proceedings of the 23rd IEEE International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC'12). pp. 1503-1508. Sep 2012.
• Kwan Hui Lim and Amitava Datta. Following the Follower: Detecting Communities with Common Interests on Twitter. Proceedings of the 23rd ACM Conference on Hypertext and Social Media (HT'12). pp. 317-318. Jun 2012.
• Kwan Hui Lim and Amitava Datta. Finding Twitter Communities with Common Interests using Following Links of Celebrities. Proceedings of the 3rd International Workshop on Modeling Social Media (MSM'12), in-conjunction with the 23rd ACM Conference on Hypertext and Social Media (HT'12). pp. 25-32. Jun 2012.
• Kwan Hui Lim and Amitava Datta. An In-depth Analysis of the Effects of IMEP on TORA Protocol. Proceedings of the 2012 IEEE Wireless Communications and Networking Conference (WCNC'12). pp. 3051-3056. Apr 2012.