Huizhi Liang

According to our database, Huizhi Liang authored at least 53 papers between 2008 and 2024.

Collaborative distances:

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

2024

Fine-tuning Large Language Models for Multigenerator, Multidomain, and Multilingual Machine-Generated Text Detection.

Feng Xiong, Thanet Markchom, Ziwei Zheng, Subin Jung, Varun Ojha, Huizhi Liang

CoRR, 2024

Construction and Evaluation of Mandarin Multimodal Emotional Speech Database.

Ting Zhu, Liangqi Li, Shufei Duan, Xueying Zhang, Zhongzhe Xiao, Hairong Jia, Huizhi Liang

CoRR, 2024

Enhancing dysarthria speech feature representation with empirical mode decomposition and Walsh-Hadamard transform.

Ting Zhu, Shufei Duan, Camille Dingam, Huizhi Liang, Wei Zhang

CoRR, 2024

ARElight: Context Sampling of Large Texts for Deep Learning Relation Extraction.

Nicolay Rusnachenko, Huizhi Liang, Maksim Kalameyets, Lei Shi

Proceedings of the Advances in Information Retrieval, 2024

2023

Scalable and explainable visually-aware recommender systems.

Thanet Markchom, Huizhi Liang, James M. Ferryman

Knowl. Based Syst., March, 2023

Design, construction and evaluation of emotional multimodal pathological speech database.

Ting Zhu, Shufei Duan, Huizhi Liang, Wei Zhang

CoRR, 2023

Dialogue Agents with Literary Character Personality Traits.

Junzhe Zhao, Huizhi Liang, Nicolay Rusnachenko

Proceedings of the IEEE International Conference on Web Intelligence and Intelligent Agent Technology, 2023

Legal_try at SemEval-2023 Task 6: Voting Heterogeneous Models for Entities identification in Legal Documents.

Junzhe Zhao, Yingxi Wang, Nicolay Rusnachenko, Huizhi Liang

Proceedings of the The 17th International Workshop on Semantic Evaluation, 2023

nclu_team at SemEval-2023 Task 6: Attention-based Approaches for Large Court Judgement Prediction with Explanation.

Nicolay Rusnachenko, Thanet Markchom, Huizhi Liang

Proceedings of the The 17th International Workshop on Semantic Evaluation, 2023

UoR-NCL at SemEval-2023 Task 1: Learning Word-Sense and Image Embeddings for Word Sense Disambiguation.

Thanet Markchom, Huizhi Liang, Joyce Gitau, Zehao Liu, Varun Ojha, Lee Taylor, Jake Bonnici, Abdullah Alshadadi

Proceedings of the The 17th International Workshop on Semantic Evaluation, 2023

Temporal Neighborhood based Self-supervised Pre-training Model for Sleep Stages Classification.

Yingxi Wang, Huizhi Liang, Bing Zhai

Proceedings of the 15th International Conference on Bioinformatics and Biomedical Technology, 2023

ThyExp: An explainable AI-assisted Decision Making Toolkit for Thyroid Nodule Diagnosis based on Ultra-sound Images.

Jamie Morris, Zehao Liu, Huizhi Liang, Sidhartha Nagala, Xia Hong

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2022

DRprofiling: Deep Reinforcement User Profiling for Recommendations in Heterogenous Information Networks.

Huizhi Liang

IEEE Trans. Knowl. Data Eng., 2022

TNE: A general time-aware network representation learning framework for temporal applications.

Huizhi Liang, Thanet Markchom

Knowl. Based Syst., 2022

UoR-NCL at SemEval-2022 Task 6: Using ensemble loss with BERT for intended sarcasm detection.

Emmanuel Osei-Brefo, Huizhi Liang

Proceedings of the 16th International Workshop on Semantic Evaluation, SemEval@NAACL 2022, 2022

UoR-NCL at SemEval-2022 Task 3: Fine-Tuning the BERT-Based Models for Validating Taxonomic Relations.

Thanet Markchom, Huizhi Liang, Jiaoyan Chen

Proceedings of the 16th International Workshop on Semantic Evaluation, SemEval@NAACL 2022, 2022

Improving Ultrasound Image Classification with Local Texture Quantisation.

Xiao Li, Huizhi Liang, Sidhartha Nagala, Jane Chen

Proceedings of the IEEE International Conference on Acoustics, 2022

Relation-aware Blocking for Scalable Recommendation Systems.

Huizhi Liang, Zehao Liu, Thanet Markchom

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Improving Conversational Recommender Systems via Knowledge Graph-based Semantic Fusion with Historical Interaction Data.

Thamizhiniyan Pugazhenthi, Huizhi Liang

Proceedings of the IEEE International Conference on Big Data, 2022

Attractiveness Analysis for Health Claims on Food Packages.

Xiao Li, Huizhi Liang, Chris Ryder, Rodney Jones, Zehao Liu

Proceedings of the Data Mining - 20th Australasian Conference, AusDM 2022, Western Sydney, 2022

2021

UOR at SemEval-2021 Task 12: On Crowd Annotations; Learning with Disagreements to optimise crowd truth.

Emmanuel Osei-Brefo, Thanet Markchom, Huizhi Liang

Proceedings of the 15th International Workshop on Semantic Evaluation, 2021

UoR at SemEval-2021 Task 4: Using Pre-trained BERT Token Embeddings for Question Answering of Abstract Meaning.

Thanet Markchom, Huizhi Liang

Proceedings of the 15th International Workshop on Semantic Evaluation, 2021

UoR at SemEval-2021 Task 7: Utilizing Pre-trained DistilBERT Model and Multi-scale CNN for Humor Detection.

Zehao Liu, Carl Haines, Huizhi Liang

Proceedings of the 15th International Workshop on Semantic Evaluation, 2021

Augmenting Visual Information in Knowledge Graphs for Recommendations.

Thanet Markchom, Huizhi Liang

Proceedings of the IUI '21: 26th International Conference on Intelligent User Interfaces, 2021

Health Claims Unpacked: A toolkit to Enhance the Communication of Health Claims for Food.

Xiao Li, Huizhi Liang, Zehao Liu

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

2020

IEEE Access Special Section Editorial: Advanced Data Mining Methods for Social Computing.

Yongqiang Zhao, Shirui Pan, Jia Wu, Huaiyu Wan, Huizhi Liang, Haishuai Wang, Huawei Shen

IEEE Access, 2020

A Dynamic Bayesian Network Approach for Analysing Topic-Sentiment Evolution.

Huizhi Liang, Umarani Ganeshbabu, Thomas Thorne

IEEE Access, 2020

UoR at SemEval-2020 Task 4: Pre-trained Sentence Transformer Models for Commonsense Validation and Explanation.

Thanet Markchom, Bhuvana Dhruva, Chandresh Pravin, Huizhi Liang

Proceedings of the Fourteenth Workshop on Semantic Evaluation, 2020

UoR at SemEval-2020 Task 8: Gaussian Mixture Modelling (GMM) Based Sampling Approach for Multi-modal Memotion Analysis.

Zehao Liu, Emmanuel Osei-Brefo, Siyuan Chen, Huizhi Liang

Proceedings of the Fourteenth Workshop on Semantic Evaluation, 2020

Identity-Aware Attribute Recognition via Real-Time Distributed Inference in Mobile Edge Clouds.

Zichuan Xu, Jiangkai Wu, Qiufen Xia, Pan Zhou, Jiankang Ren, Huizhi Liang

Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020

2018

Explainable Sentiment Analysis with Applications in Medicine.

Chiara Zucco, Huizhi Liang, Giuseppe Di Fatta, Mario Cannataro

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018

2016

Semantic-Aware Blocking for Entity Resolution.

Qing Wang, Mingyuan Cui, Huizhi Liang

IEEE Trans. Knowl. Data Eng., 2016

UNIMELB at SemEval-2016 Tasks 4A and 4B: An Ensemble of Neural Networks and a Word2Vec Based Model for Sentiment Classification.

Steven Xu, Huizhi Liang, Timothy Baldwin

Proceedings of the 10th International Workshop on Semantic Evaluation, 2016

UniMelb at SemEval-2016 Task 3: Identifying Similar Questions by combining a CNN with String Similarity Measures.

Timothy Baldwin, Huizhi Liang, Bahar Salehi, Doris Hoogeveen, Yitong Li, Long Duong

Proceedings of the 10th International Workshop on Semantic Evaluation, 2016

Toward Sentiment Analysis in Elderly Care Facility.

Ken Fukuda, Satoshi Nishimura, Huizhi Liang, Takuichi Nishimura

Proceedings of the New Frontiers in Artificial Intelligence, 2016

2015

Dynamic Sorted Neighborhood Indexing for Real-Time Entity Resolution.

Banda Ramadan, Peter Christen, Huizhi Liang, Ross W. Gayler

ACM J. Data Inf. Qual., 2015

RoseMerry: A Baseline Message-level Sentiment Classification System.

Huizhi Liang, Richard Fothergill, Timothy Baldwin

Proceedings of the 9th International Workshop on Semantic Evaluation, 2015

A Probabilistic Rating Auto-encoder for Personalized Recommender Systems.

Huizhi Liang, Timothy Baldwin

Proceedings of the 24th ACM International Conference on Information and Knowledge Management, 2015

2014

Algorithm Optimization of Resources Scheduling Based on Cloud Computing.

Zhongli Liu, Hangjun Zhou, Sha Fu, Chaoqun Liu, Huizhi Liang

J. Multim., 2014

Noise-Tolerant Approximate Blocking for Dynamic Real-Time Entity Resolution.

Huizhi Liang, Yanzhe Wang, Peter Christen, Ross W. Gayler

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2014

Real-time Collaborative Filtering Recommender Systems.

Huizhi Liang, Haoran Du, Qing Wang

Proceedings of the Twelfth Australasian Data Mining Conference, AusDM 2014, Brisbane, 2014

Dynamic Sorted Neighborhood Indexing for Real-Time Entity Resolution.

Banda Ramadan, Peter Christen, Huizhi Liang

Proceedings of the Databases Theory and Applications, 2014

2013

Dynamic Similarity-Aware Inverted Indexing for Real-Time Entity Resolution.

Banda Ramadan, Peter Christen, Huizhi Liang, Ross W. Gayler, David Hawking

Proceedings of the Trends and Applications in Knowledge Discovery and Data Mining, 2013

2012

Personalized recommender systems integrating tags and item taxonomy.

Huizhi Liang, Yue Xu, Yuefeng Li

Web Intell. Agent Syst., 2012

Time-aware topic recommendation based on micro-blogs.

Huizhi Liang, Yue Xu, Dian Tjondronegoro, Peter Christen

Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012

2010

Developing Trust Networks Based on User Tagging Information for Recommendation Making.

Touhid Bhuiyan, Yue Xu, Audun Jøsang, Huizhi Liang, Clive Cox

Proceedings of the Web Information Systems Engineering - WISE 2010, 2010

Mining Users' Opinions Based on Item Folksonomy and Taxonomy for Personalized Recommender Systems.

Huizhi Liang, Yue Xu, Yuefeng Li

Proceedings of the ICDMW 2010, 2010

Parallel User Profiling Based on Folksonomy for Large Scaled Recommender Systems: An Implimentation of Cascading MapReduce.

Huizhi Liang, Jim Hogan, Yue Xu

Proceedings of the ICDMW 2010, 2010

Connecting users and items with weighted tags for personalized item recommendations.

Huizhi Liang, Yue Xu, Yuefeng Li, Richi Nayak, Xiaohui Tao

Proceedings of the HT'10, 2010

Personalized recommender system based on item taxonomy and folksonomy.

Huizhi Liang, Yue Xu, Yuefeng Li, Richi Nayak

Proceedings of the 19th ACM Conference on Information and Knowledge Management, 2010

2009

Personalized Recommender Systems Integrating Social Tags and Item Taxonomy.

Huizhi Liang, Yue Xu, Yuefeng Li, Richi Nayak, Li-Tung Weng

Proceedings of the 2009 IEEE/WIC/ACM International Conference on Web Intelligence, 2009

Tag Based Collaborative Filtering for Recommender Systems.

Huizhi Liang, Yue Xu, Yuefeng Li, Richi Nayak

Proceedings of the Rough Sets and Knowledge Technology, 4th International Conference, 2009

2008

Collaborative Filtering Recommender Systems Using Tag Information.

Huizhi Liang, Yue Xu, Yuefeng Li, Richi Nayak

Proceedings of the 2008 IEEE/WIC/ACM International Conference on Web Intelligence and International Conference on Intelligent Agent Technology, 2008