Junhua Liu - RankMe

40 papers A* 2A 1B 2Journal 22Unranked 13

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	Balancing Accuracy and Efficiency in Multi-Turn Intent Classification for LLM-Powered Dialog Systems in Production. AAAI Junhua Liu, Tan Yong Keat, Bin Fu, Kwan Hui Lim
2026	A*	`conf`	Physics-Informed Autonomous LLM Agents for Explainable Power Electronics Modulation Design. AAAI Junhua Liu, Fanfan Lin, Xinze Li, Shuai Zhao, Kwan Hui Lim
2026	J	`jnl`	RGAlign-Rec: Ranking-Guided Alignment for Latent Query Reasoning in Recommendation Systems. CoRR Junhua Liu, Yang Jihao, Cheng Chang, Kunrong Li, Bin Fu, Kwan Hui Lim
2025	J	`jnl`	BGM-HAN: A Hierarchical Attention Network for Accurate and Fair Decision Assessment on Semi-Structured Profiles. CoRR Junhua Liu, Roy Ka-Wei Lee, Kwan Hui Lim
2025	—	`conf`	BGM-HAN: A Hierarchical Attention Network for Accurate and Fair Decision Assessment on Semi-structured Profiles. ASONAM (2) Junhua Liu, Roy Ka-Wei Lee, Kwan Hui Lim
2025	A	`conf`	From Intents to Conversations: Generating Intent-Driven Dialogues with Contrastive Learning for Multi-Turn Classification. CIKM Junhua Liu, Tan Yong Keat, Bin Fu, Kwan Hui Lim
2025	J	`jnl`	Optimizing group utility in itinerary planning: a strategic and crowd-aware approach. J. Big Data Junhua Liu, Aldy Gunawan, Kristin L. Wood, Kwan Hui Lim
2025	—	`conf`	Understanding Fairness-Accuracy Trade-offs in Machine Learning Models: Does Promoting Fairness Undermine Performance? ASONAM (2) Junhua Liu, Roy Ka-Wei Lee, Kwan Hui Lim
2024	J	`jnl`	Balancing Accuracy and Efficiency in Multi-Turn Intent Classification for LLM-Powered Dialog Systems in Production. CoRR Junhua Liu, Tan Yong Keat, Bin Fu, Kwan Hui Lim
2024	J	`jnl`	Fairness And Performance In Harmony: Data Debiasing Is All You Need. CoRR Junhua Liu, Wendy Wan Yee Hui, Roy Ka-Wei Lee, Kwan Hui Lim
2024	—	`conf`	Fast Bibliography Pre-Selection via Two-Vector Semantic Representations. JCDL Wenchuan Mu, Junhua Liu, Kwan Hui Lim
2024	J	`jnl`	Intent-Aware Dialogue Generation and Multi-Task Contrastive Learning for Multi-Turn Intent Classification. CoRR Junhua Liu, Tan Yong Keat, Bin Fu, Kwan Hui Lim
2024	—	`conf`	LARA: Linguistic-Adaptive Retrieval-Augmentation for Multi-Turn Intent Classification. EMNLP (Industry Track) Junhua Liu, Tan Yong Keat, Bin Fu, Kwan Hui Lim
2024	—	`conf`	Math-LLaVA: Bootstrapping Mathematical Reasoning for Multimodal Large Language Models. EMNLP (Findings) Wenhao Shi, Zhiqiang Hu, Yi Bin, Junhua Liu, Yang Yang, See-Kiong Ng, Lidong Bing, Roy Ka-Wei Lee
2024	J	`jnl`	Math-LLaVA: Bootstrapping Mathematical Reasoning for Multimodal Large Language Models. CoRR Wenhao Shi, Zhiqiang Hu, Yi Bin, Junhua Liu, Yang Yang, See-Kiong Ng, Lidong Bing, Roy Ka-Wei Lee
2024	J	`jnl`	PE-GPT: A Physics-Informed Interactive Large Language Model for Power Converter Modulation Design. CoRR Fanfan Lin, Junhua Liu, Xinze Li, Shuai Zhao, Bohui Zhao, Hao Ma, Xin Zhang
2024	J	`jnl`	Physics-Informed LLM-Agent for Automated Modulation Design in Power Electronics Systems. CoRR Junhua Liu, Fanfan Lin, Xinze Li, Kwan Hui Lim, Shuai Zhao
2024	B	`conf`	Spatial-Temporal Graph Representation Learning for Tactical Networks Future State Prediction. IJCNN Junhua Liu, Justin Albrethsen, Lincoln Goh, David K. Y. Yau, Kwan Hui Lim
2024	J	`jnl`	Spatial-Temporal Graph Representation Learning for Tactical Networks Future State Prediction. CoRR Junhua Liu, Justin Albrethsen, Lincoln Goh, David K. Y. Yau, Kwan Hui Lim
2024	J	`jnl`	Towards Objective and Unbiased Decision Assessments with LLM-Enhanced Hierarchical Attention Networks. CoRR Junhua Liu, Kwan Hui Lim, Roy Ka-Wei Lee
2023	—	`conf`	A Transformer-Based Framework for POI-Level Social Post Geolocation. ECIR (1) Menglin Li, Kwan Hui Lim, Teng Guo, Junhua Liu
2023	B	`conf`	Photozilla: An Image Dataset of Photography Styles and its Application to Visual Embedding and Style Detection. ASONAM Trisha Singhal, Junhua Liu, Wenchuan Mu, Luciënne T. M. Blessing, Kwan Hui Lim
2022	J	`jnl`	A Transformer-based Framework for POI-level Social Post Geolocation. CoRR Menglin Li, Kwan Hui Lim, Teng Guo, Junhua Liu
2022	J	`jnl`	A clustering-based topic model using word networks and word embeddings. J. Big Data Wenchuan Mu, Kwan Hui Lim, Junhua Liu, Shanika Karunasekera, Lucia Falzon, Aaron Harwood
2022	J	`jnl`	Title2Vec: a contextual job title embedding for occupational named entity recognition and other applications. J. Big Data Junhua Liu, Yung Chuen Ng, Zitong Gui, Trisha Singhal, Luciënne T. M. Blessing, Kristin L. Wood, Kwan Hui Lim
2021	—	`conf`	Analyzing Scientific Publications using Domain-Specific Word Embedding and Topic Modelling. IEEE BigData Trisha Singhal, Junhua Liu, Luciënne T. M. Blessing, Kwan Hui Lim
2021	J	`jnl`	Analyzing Scientific Publications using Domain-Specific Word Embedding and Topic Modelling. CoRR Trisha Singhal, Junhua Liu, Luciënne T. M. Blessing, Kwan Hui Lim
2021	—	`conf`	CrisisBERT: A Robust Transformer for Crisis Classification and Contextual Crisis Embedding. HT Junhua Liu, Trisha Singhal, Luciënne T. M. Blessing, Kristin L. Wood, Kwan Hui Lim
2021	J	`jnl`	Photozilla: A Large-Scale Photography Dataset and Visual Embedding for 20 Photography Styles. CoRR Trisha Singhal, Junhua Liu, Luciënne T. M. Blessing, Kwan Hui Lim
2020	J	`jnl`	A Large-scale Industrial and Professional Occupation Dataset. CoRR Junhua Liu, Yung Chuen Ng, Kwan Hui Lim
2020	J	`jnl`	CrisisBERT: a Robust Transformer for Crisis Classification and Contextual Crisis Embedding. CoRR Junhua Liu, Trisha Singhal, Luciënne T. M. Blessing, Kristin L. Wood, Kwan Hui Lim
2020	J	`jnl`	EPIC30M: An Epidemics Corpus Of Over 30 Million Relevant Tweets. CoRR Junhua Liu, Trisha Singhal, Luciënne T. M. Blessing, Kristin L. Wood, Kwan Hui Lim
2020	—	`conf`	EPIC30M: An Epidemics Corpus of Over 30 Million Relevant Tweets. IEEE BigData Junhua Liu, Trisha Singhal, Luciënne T. M. Blessing, Kristin L. Wood, Kwan Hui Lim
2020	—	`conf`	IPOD: A Large-scale Industrial and Professional Occupation Dataset. CSCW Companion Junhua Liu, Yung Chuen Ng, Kristin L. Wood, Kwan Hui Lim
2020	—	`conf`	Self-Evolving Adaptive Learning for Personalized Education. CSCW Companion Junhua Liu, Lionell Loh, Ernest Ng, Yijia Chen, Kristin L. Wood, Kwan Hui Lim
2020	—	`conf`	Strategic and Crowd-Aware Itinerary Recommendation. ECML/PKDD (4) Junhua Liu, Kristin L. Wood, Kwan Hui Lim
2020	—	`conf`	Urban Crowdsensing using Social Media: An Empirical Study on Transformer and Recurrent Neural Networks. IEEE BigData Jerome Heng, Junhua Liu, Kwan Hui Lim
2020	J	`jnl`	Urban Crowdsensing using Social Media: An Empirical Study on Transformer and Recurrent Neural Networks. CoRR Jerome Heng, Junhua Liu, Kwan Hui Lim
2019	J	`jnl`	Crowd-aware itinerary recommendation: a game-theoretic approach to optimize social welfare. CoRR Junhua Liu, Chu Guo, Kristin L. Wood, Kwan Hui Lim
2019	J	`jnl`	IPOD: Corpus of 190, 000 Industrial Occupations. CoRR Junhua Liu, Chu Guo, Yung Chuen Ng, Kristin L. Wood, Kwan Hui Lim