Huizhi Liang

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 41

Top Topics

Sentiment Classification

Entity Resolution

Sense Disambiguation

Top Venues

SemEval@ACL/IJCNLP

SemEval@NAACL-HLT

Publications

Haonan Zhang, Dongxia Wang, Zhu Sun, Yanhui Li, Youcheng Sun, Huizhi Liang, Wenhai Wang
Does Knowledge Graph Really Matter for Recommender Systems? CoRR (2024)
Ting Zhu, Liangqi Li, Shufei Duan, Xueying Zhang, Zhongzhe Xiao, Hairng Jia, Huizhi Liang
Construction and Evaluation of Mandarin Multimodal Emotional Speech Database. CoRR (2024)
Nicolay Rusnachenko, Huizhi Liang, Maksim Kalameyets, Lei Shi
ARElight: Context Sampling of Large Texts for Deep Learning Relation Extraction. ECIR (5) (2024)
Xiaoshi Zhong, Huizhi Liang
On the Scale-Free Property of Citation Networks: An Empirical Study. WWW (Companion Volume) (2024)
Nicolay Rusnachenko, Huizhi Liang
nicolay-r at SemEval-2024 Task 3: Using Flan-T5 for Reasoning Emotion Cause in Conversations with Chain-of-Thought on Emotion States. CoRR (2024)
Ting Zhu, Shufei Duan, Camille Dingam, Huizhi Liang, Wei Zhang
Enhancing dysarthria speech feature representation with empirical mode decomposition and Walsh-Hadamard transform. CoRR (2024)
Feng Xiong, Thanet Markchom, Ziwei Zheng, Subin Jung, Varun Ojha, Huizhi Liang
Fine-tuning Large Language Models for Multigenerator, Multidomain, and Multilingual Machine-Generated Text Detection. CoRR (2024)
Haifeng Li, Xueying Zhang, Shufei Duan, Huizhi Liang
Speech emotion recognition based on bi-directional acoustic-articulatory conversion. Knowl. Based Syst. 299 (2024)
Ting Zhu, Shufei Duan, Huizhi Liang, Wei Zhang
Design, construction and evaluation of emotional multimodal pathological speech database. CoRR (2023)
Thanet Markchom, Huizhi Liang, Joyce Gitau, Zehao Liu, Varun Ojha, Lee Taylor, Jake Bonnici, Abdullah Alshadadi
UoR-NCL at SemEval-2023 Task 1: Learning Word-Sense and Image Embeddings for Word Sense Disambiguation. SemEval@ACL (2023)
Junzhe Zhao, Huizhi Liang, Nicolay Rusnachenko
Dialogue Agents with Literary Character Personality Traits. WI/IAT (2023)
Yingxi Wang, Huizhi Liang, Bing Zhai
Temporal Neighborhood based Self-supervised Pre-training Model for Sleep Stages Classification. ICBBT (2023)
Jamie Morris, Zehao Liu, Huizhi Liang, Sidhartha Nagala, Xia Hong
ThyExp: An explainable AI-assisted Decision Making Toolkit for Thyroid Nodule Diagnosis based on Ultra-sound Images. CIKM (2023)
Nicolay Rusnachenko, Thanet Markchom, Huizhi Liang
nclu_team at SemEval-2023 Task 6: Attention-based Approaches for Large Court Judgement Prediction with Explanation. SemEval@ACL (2023)
Junzhe Zhao, Yingxi Wang, Nicolay Rusnachenko, Huizhi Liang
Legal_try at SemEval-2023 Task 6: Voting Heterogeneous Models for Entities identification in Legal Documents. SemEval@ACL (2023)
Thanet Markchom, Huizhi Liang, James M. Ferryman
Scalable and explainable visually-aware recommender systems. Knowl. Based Syst. 263 (2023)
Emmanuel Osei-Brefo, Huizhi Liang
UoR-NCL at SemEval-2022 Task 6: Using ensemble loss with BERT for intended sarcasm detection. SemEval@NAACL (2022)
Xiao Li, Huizhi Liang, Chris Ryder, Rodney Jones, Zehao Liu
Attractiveness Analysis for Health Claims on Food Packages. AusDM (2022)
Huizhi Liang
DRprofiling: Deep Reinforcement User Profiling for Recommendations in Heterogenous Information Networks. IEEE Trans. Knowl. Data Eng. 34 (4) (2022)
Thanet Markchom, Huizhi Liang, Jiaoyan Chen
UoR-NCL at SemEval-2022 Task 3: Fine-Tuning the BERT-Based Models for Validating Taxonomic Relations. SemEval@NAACL (2022)
Xiao Li, Huizhi Liang, Sidhartha Nagala, Jane Chen
Improving Ultrasound Image Classification with Local Texture Quantisation. ICASSP (2022)
Thamizhiniyan Pugazhenthi, Huizhi Liang
Improving Conversational Recommender Systems via Knowledge Graph-based Semantic Fusion with Historical Interaction Data. Big Data (2022)
Huizhi Liang, Zehao Liu, Thanet Markchom
Relation-aware Blocking for Scalable Recommendation Systems. CIKM (2022)
Huizhi Liang, Thanet Markchom
TNE: A general time-aware network representation learning framework for temporal applications. Knowl. Based Syst. 240 (2022)
Thanet Markchom, Huizhi Liang
UoR at SemEval-2021 Task 4: Using Pre-trained BERT Token Embeddings for Question Answering of Abstract Meaning. SemEval@ACL/IJCNLP (2021)
Zehao Liu, Carl Haines, Huizhi Liang
UoR at SemEval-2021 Task 7: Utilizing Pre-trained DistilBERT Model and Multi-scale CNN for Humor Detection. SemEval@ACL/IJCNLP (2021)
Xiao Li, Huizhi Liang, Zehao Liu
Health Claims Unpacked: A toolkit to Enhance the Communication of Health Claims for Food. CIKM (2021)
Thanet Markchom, Huizhi Liang
Augmenting Visual Information in Knowledge Graphs for Recommendations. IUI (2021)
Emmanuel Osei-Brefo, Thanet Markchom, Huizhi Liang
UOR at SemEval-2021 Task 12: On Crowd Annotations; Learning with Disagreements to optimise crowd truth. SemEval@ACL/IJCNLP (2021)
Zichuan Xu, Jiangkai Wu, Qiufen Xia, Pan Zhou, Jiankang Ren, Huizhi Liang
Identity-Aware Attribute Recognition via Real-Time Distributed Inference in Mobile Edge Clouds. ACM Multimedia (2020)
Zehao Liu, Emmanuel Osei-Brefo, Siyuan Chen, Huizhi Liang
UoR at SemEval-2020 Task 8: Gaussian Mixture Modelling (GMM) Based Sampling Approach for Multi-modal Memotion Analysis. SemEval@COLING (2020)
Huizhi Liang, Umarani Ganeshbabu, Thomas Thorne
A Dynamic Bayesian Network Approach for Analysing Topic-Sentiment Evolution. IEEE Access 8 (2020)
Yongqiang Zhao, Shirui Pan, Jia Wu, Huaiyu Wan, Huizhi Liang, Haishuai Wang, Huawei Shen
IEEE Access Special Section Editorial: Advanced Data Mining Methods for Social Computing. IEEE Access 8 (2020)
Zichuan Xu, Jiangkai Wu, Qiufen Xia, Pan Zhou, Jiankang Ren, Huizhi Liang
Identity-Aware Attribute Recognition via Real-Time Distributed Inference in Mobile Edge Clouds. CoRR (2020)
Thanet Markchom, Bhuvana Dhruva, Chandresh Pravin, Huizhi Liang
UoR at SemEval-2020 Task 4: Pre-trained Sentence Transformer Models for Commonsense Validation and Explanation. SemEval@COLING (2020)
Chiara Zucco, Huizhi Liang, Giuseppe Di Fatta, Mario Cannataro
Explainable Sentiment Analysis with Applications in Medicine. BIBM (2018)
Qing Wang, Mingyuan Cui, Huizhi Liang
Semantic-aware blocking for entity resolution. ICDE (2016)
Steven Xu, Huizhi Liang, Timothy Baldwin
UNIMELB at SemEval-2016 Tasks 4A and 4B: An Ensemble of Neural Networks and a Word2Vec Based Model for Sentiment Classification. SemEval@NAACL-HLT (2016)
Ken Fukuda, Satoshi Nishimura, Huizhi Liang, Takuichi Nishimura
Toward Sentiment Analysis in Elderly Care Facility. JSAI-isAI Workshops (2016)
Timothy Baldwin, Huizhi Liang, Bahar Salehi, Doris Hoogeveen, Yitong Li, Long Duong
UniMelb at SemEval-2016 Task 3: Identifying Similar Questions by combining a CNN with String Similarity Measures. SemEval@NAACL-HLT (2016)
Qing Wang, Mingyuan Cui, Huizhi Liang
Semantic-Aware Blocking for Entity Resolution. IEEE Trans. Knowl. Data Eng. 28 (1) (2016)
Huizhi Liang, Timothy Baldwin
A Probabilistic Rating Auto-encoder for Personalized Recommender Systems. CIKM (2015)
Huizhi Liang, Richard Fothergill, Timothy Baldwin
RoseMerry: A Baseline Message-level Sentiment Classification System. SemEval@NAACL-HLT (2015)
Banda Ramadan, Peter Christen, Huizhi Liang, Ross W. Gayler
Dynamic Sorted Neighborhood Indexing for Real-Time Entity Resolution. ACM J. Data Inf. Qual. 6 (4) (2015)
Banda Ramadan, Peter Christen, Huizhi Liang
Dynamic Sorted Neighborhood Indexing for Real-Time Entity Resolution. ADC (2014)
Huizhi Liang, Yanzhe Wang, Peter Christen, Ross W. Gayler
Noise-Tolerant Approximate Blocking for Dynamic Real-Time Entity Resolution. PAKDD (2) (2014)
Huizhi Liang, Haoran Du, Qing Wang
Real-time Collaborative Filtering Recommender Systems. AusDM (2014)
Zhongli Liu, Hangjun Zhou, Sha Fu, Chaoqun Liu, Huizhi Liang
Algorithm Optimization of Resources Scheduling Based on Cloud Computing. J. Multim. 9 (7) (2014)
Banda Ramadan, Peter Christen, Huizhi Liang, Ross W. Gayler, David Hawking
Dynamic Similarity-Aware Inverted Indexing for Real-Time Entity Resolution. PAKDD Workshops (2013)
Huizhi Liang, Yue Xu, Dian Tjondronegoro, Peter Christen
Time-aware topic recommendation based on micro-blogs. CIKM (2012)
Huizhi Liang, Yue Xu, Yuefeng Li
Personalized recommender systems integrating tags and item taxonomy. Web Intell. Agent Syst. 10 (3) (2012)
Huizhi Liang, Yue Xu, Yuefeng Li, Richi Nayak
Personalized recommender system based on item taxonomy and folksonomy. CIKM (2010)
Huizhi Liang, Yue Xu, Yuefeng Li, Richi Nayak, Xiaohui Tao
Connecting users and items with weighted tags for personalized item recommendations. HT (2010)
Huizhi Liang, Yue Xu, Yuefeng Li
Mining Users' Opinions Based on Item Folksonomy and Taxonomy for Personalized Recommender Systems. ICDM Workshops (2010)
Touhid Bhuiyan, Yue Xu, Audun Jøsang, Huizhi Liang, Clive Cox
Developing Trust Networks Based on User Tagging Information for Recommendation Making. WISE (2010)
Huizhi Liang, Jim Hogan, Yue Xu
Parallel User Profiling Based on Folksonomy for Large Scaled Recommender Systems: An Implimentation of Cascading MapReduce. ICDM Workshops (2010)
Huizhi Liang, Yue Xu, Yuefeng Li, Richi Nayak
Tag Based Collaborative Filtering for Recommender Systems. RSKT (2009)
Huizhi Liang, Yue Xu, Yuefeng Li, Richi Nayak, Li-Tung Weng
Personalized Recommender Systems Integrating Social Tags and Item Taxonomy. Web Intelligence (2009)
Huizhi Liang, Yue Xu, Yuefeng Li, Richi Nayak
Collaborative Filtering Recommender Systems Using Tag Information. Web Intelligence/IAT Workshops (2008)