Junhua Liu

According to our database, Junhua Liu authored at least 31 papers between 2019 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

RGAlign-Rec: Ranking-Guided Alignment for Latent Query Reasoning in Recommendation Systems.

Junhua Liu, Yang Jihao, Cheng Chang, Kunrong LI, Bin Fu, Kwan Hui Lim

CoRR, February, 2026

Physics-Informed Autonomous LLM Agents for Explainable Power Electronics Modulation Design.

Junhua Liu, Fanfan Lin, Xinze Li, Shuai Zhao, Kwan Hui Lim

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

Balancing Accuracy and Efficiency in Multi-Turn Intent Classification for LLM-Powered Dialog Systems in Production.

Junhua Liu, Tan Yong Keat, Bin Fu, Kwan Hui Lim

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Optimizing group utility in itinerary planning: a strategic and crowd-aware approach.

Junhua Liu, Aldy Gunawan, Kristin L. Wood, Kwan Hui Lim

J. Big Data, December, 2025

From Intents to Conversations: Generating Intent-Driven Dialogues with Contrastive Learning for Multi-Turn Classification.

Junhua Liu, Tan Yong Keat, Bin Fu, Kwan Hui Lim

Proceedings of the 34th ACM International Conference on Information and Knowledge Management, 2025

Understanding Fairness-Accuracy Trade-offs in Machine Learning Models: Does Promoting Fairness Undermine Performance?

Junhua Liu, Roy Ka-Wei Lee, Kwan Hui Lim

Proceedings of the Social Networks Analysis and Mining - 17th International Conference, 2025

BGM-HAN: A Hierarchical Attention Network for Accurate and Fair Decision Assessment on Semi-structured Profiles.

Junhua Liu, Roy Ka-Wei Lee, Kwan Hui Lim

Proceedings of the Social Networks Analysis and Mining - 17th International Conference, 2025

2024

Fairness And Performance In Harmony: Data Debiasing Is All You Need.

Junhua Liu, Wendy Wan Yee Hui, Roy Ka-Wei Lee, Kwan Hui Lim

CoRR, 2024

Intent-Aware Dialogue Generation and Multi-Task Contrastive Learning for Multi-Turn Intent Classification.

Junhua Liu, Tan Yong Keat, Bin Fu, Kwan Hui Lim

CoRR, 2024

Physics-Informed LLM-Agent for Automated Modulation Design in Power Electronics Systems.

Junhua Liu, Fanfan Lin, Xinze Li, Kwan Hui Lim, Shuai Zhao

CoRR, 2024

Towards Objective and Unbiased Decision Assessments with LLM-Enhanced Hierarchical Attention Networks.

Junhua Liu, Kwan Hui Lim, Roy Ka-Wei Lee

CoRR, 2024

PE-GPT: A Physics-Informed Interactive Large Language Model for Power Converter Modulation Design.

Fanfan Lin, Junhua Liu, Xinze Li, Shuai Zhao, Bohui Zhao, Hao Ma, Xin Zhang

CoRR, 2024

Fast Bibliography Pre-Selection via Two-Vector Semantic Representations.

Wenchuan Mu, Junhua Liu, Kwan Hui Lim

Proceedings of the 24th ACM/IEEE Joint Conference on Digital Libraries, 2024

Spatial-Temporal Graph Representation Learning for Tactical Networks Future State Prediction.

Junhua Liu, Justin Albrethsen, Lincoln Goh, David K. Y. Yau, Kwan Hui Lim

Proceedings of the International Joint Conference on Neural Networks, 2024

Math-LLaVA: Bootstrapping Mathematical Reasoning for Multimodal Large Language Models.

Wenhao Shi, Zhiqiang Hu, Yi Bin, Junhua Liu, Yang Yang, See-Kiong Ng, Lidong Bing, Roy Ka-Wei Lee

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

LARA: Linguistic-Adaptive Retrieval-Augmentation for Multi-Turn Intent Classification.

Junhua Liu, Tan Yong Keat, Bin Fu, Kwan Hui Lim

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing: EMNLP 2024, 2024

2023

A Transformer-Based Framework for POI-Level Social Post Geolocation.

Menglin Li, Kwan Hui Lim, Teng Guo, Junhua Liu

Proceedings of the Advances in Information Retrieval, 2023

Photozilla: An Image Dataset of Photography Styles and its Application to Visual Embedding and Style Detection.

Trisha Singhal, Junhua Liu, Wenchuan Mu, Luciënne T. M. Blessing, Kwan Hui Lim

Proceedings of the International Conference on Advances in Social Networks Analysis and Mining, 2023

2022

A clustering-based topic model using word networks and word embeddings.

Wenchuan Mu, Kwan Hui Lim, Junhua Liu, Shanika Karunasekera, Lucia Falzon, Aaron Harwood

J. Big Data, 2022

Title2Vec: a contextual job title embedding for occupational named entity recognition and other applications.

Junhua Liu, Yung Chuen Ng, Zitong Gui, Trisha Singhal, Luciënne T. M. Blessing, Kristin L. Wood, Kwan Hui Lim

J. Big Data, 2022

2021

Photozilla: A Large-Scale Photography Dataset and Visual Embedding for 20 Photography Styles.

Trisha Singhal, Junhua Liu, Luciënne T. M. Blessing, Kwan Hui Lim

CoRR, 2021

CrisisBERT: A Robust Transformer for Crisis Classification and Contextual Crisis Embedding.

Junhua Liu, Trisha Singhal, Luciënne T. M. Blessing, Kristin L. Wood, Kwan Hui Lim

Proceedings of the HT '21: 32nd ACM Conference on Hypertext and Social Media, Virtual Event, Ireland, 30 August 2021, 2021

Analyzing Scientific Publications using Domain-Specific Word Embedding and Topic Modelling.

Trisha Singhal, Junhua Liu, Luciënne T. M. Blessing, Kwan Hui Lim

Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

2020

A Large-scale Industrial and Professional Occupation Dataset.

Junhua Liu, Yung Chuen Ng, Kwan Hui Lim

CoRR, 2020

Strategic and Crowd-Aware Itinerary Recommendation.

Junhua Liu, Kristin L. Wood, Kwan Hui Lim

Proceedings of the Machine Learning and Knowledge Discovery in Databases: Applied Data Science Track, 2020

IPOD: A Large-scale Industrial and Professional Occupation Dataset.

Junhua Liu, Yung Chuen Ng, Kristin L. Wood, Kwan Hui Lim

Proceedings of the Companion Publication of the 2020 ACM Conference on Computer Supported Cooperative Work and Social Computing, 2020

Self-Evolving Adaptive Learning for Personalized Education.

Junhua Liu, Lionell Loh, Ernest Ng, Yijia Chen, Kristin L. Wood, Kwan Hui Lim

Proceedings of the Companion Publication of the 2020 ACM Conference on Computer Supported Cooperative Work and Social Computing, 2020

EPIC30M: An Epidemics Corpus of Over 30 Million Relevant Tweets.

Junhua Liu, Trisha Singhal, Luciënne T. M. Blessing, Kristin L. Wood, Kwan Hui Lim

Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

Urban Crowdsensing using Social Media: An Empirical Study on Transformer and Recurrent Neural Networks.

Jerome Heng, Junhua Liu, Kwan Hui Lim

Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

2019

IPOD: Corpus of 190, 000 Industrial Occupations.

Junhua Liu, Chu Guo, Yung Chuen Ng, Kristin L. Wood, Kwan Hui Lim

CoRR, 2019

Crowd-aware itinerary recommendation: a game-theoretic approach to optimize social welfare.

Junhua Liu, Chu Guo, Kristin L. Wood, Kwan Hui Lim

CoRR, 2019