Collaborative Filtering Recommender Systems Using Tag Information. - Huizhi Liang 001; Yue Xu 001; Yuefeng Li 001; Richi Nayak (Web Intelligence/IAT Workshops, 2008)

Tag Based Collaborative Filtering for Recommender Systems. - Huizhi Liang 001; Yue Xu 001; Yuefeng Li 001; Richi Nayak (RSKT, 2009)

Personalized Recommender Systems Integrating Social Tags and Item Taxonomy. - Huizhi Liang 001; Yue Xu 001; Yuefeng Li 001; Richi Nayak; Li-Tung Weng (Web Intelligence, 2009)

Personalized recommender system based on item taxonomy and folksonomy. - Huizhi Liang 001; Yue Xu 001; Yuefeng Li 001; Richi Nayak (CIKM, 2010)

Connecting users and items with weighted tags for personalized item recommendations. - Huizhi Liang 001; Yue Xu 001; Yuefeng Li 001; Richi Nayak; Xiaohui Tao 001 (HT, 2010)

Parallel User Profiling Based on Folksonomy for Large Scaled Recommender Systems: An Implimentation of Cascading MapReduce. - Huizhi Liang 001; Jim Hogan; Yue Xu 001 (ICDM Workshops, 2010)

Mining Users' Opinions Based on Item Folksonomy and Taxonomy for Personalized Recommender Systems. - Huizhi Liang 001; Yue Xu 001; Yuefeng Li 001 (ICDM Workshops, 2010)

Developing Trust Networks Based on User Tagging Information for Recommendation Making. - Touhid Bhuiyan; Yue Xu 001; Audun Jøsang; Huizhi Liang 001; Clive Cox (WISE, 2010)

Time-aware topic recommendation based on micro-blogs. - Huizhi Liang 001; Yue Xu 001; Dian Tjondronegoro; Peter Christen (CIKM, 2012)

Personalized recommender systems integrating tags and item taxonomy. - Huizhi Liang 001; Yue Xu 001; Yuefeng Li 001 (Web Intell. Agent Syst., 2012)

Dynamic Similarity-Aware Inverted Indexing for Real-Time Entity Resolution. - Banda Ramadan; Peter Christen; Huizhi Liang 001; Ross W. Gayler; David Hawking (PAKDD Workshops, 2013)

Dynamic Sorted Neighborhood Indexing for Real-Time Entity Resolution. - Banda Ramadan; Peter Christen; Huizhi Liang 001 (ADC, 2014)

Noise-Tolerant Approximate Blocking for Dynamic Real-Time Entity Resolution. - Huizhi Liang 001; Yanzhe Wang; Peter Christen; Ross W. Gayler (PAKDD (2), 2014)

A Probabilistic Rating Auto-encoder for Personalized Recommender Systems. - Huizhi Liang 001; Timothy Baldwin (CIKM, 2015)

RoseMerry: A Baseline Message-level Sentiment Classification System. - Huizhi Liang 001; Richard Fothergill; Timothy Baldwin (SemEval@NAACL-HLT, 2015)

Dynamic Sorted Neighborhood Indexing for Real-Time Entity Resolution. - Banda Ramadan; Peter Christen; Huizhi Liang 001; Ross W. Gayler (ACM J. Data Inf. Qual., 2015)

Semantic-aware blocking for entity resolution. - Qing Wang 002; Mingyuan Cui; Huizhi Liang 001 (ICDE, 2016)

Toward Sentiment Analysis in Elderly Care Facility. - Ken Fukuda; Satoshi Nishimura; Huizhi Liang 001; Takuichi Nishimura (JSAI-isAI Workshops, 2016)

UniMelb at SemEval-2016 Task 3: Identifying Similar Questions by combining a CNN with String Similarity Measures. - Timothy Baldwin; Huizhi Liang 001; Bahar Salehi; Doris Hoogeveen; Yitong Li 002; Long Duong (SemEval@NAACL-HLT, 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 001; Timothy Baldwin (SemEval@NAACL-HLT, 2016)

Explainable Sentiment Analysis with Applications in Medicine. - Chiara Zucco; Huizhi Liang 001; Giuseppe Di Fatta; Mario Cannataro (BIBM, 2018)

Identity-Aware Attribute Recognition via Real-Time Distributed Inference in Mobile Edge Clouds. - Zichuan Xu; Jiangkai Wu; Qiufen Xia; Pan Zhou 001; Jiankang Ren; Huizhi Liang 001 (ACM Multimedia, 2020)

UoR at SemEval-2020 Task 8: Gaussian Mixture Modelling (GMM) Based Sampling Approach for Multi-modal Memotion Analysis. - Zehao Liu 002; Emmanuel Osei-Brefo; Siyuan Chen; Huizhi Liang 001 (SemEval@COLING, 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 001 (SemEval@COLING, 2020)

A Dynamic Bayesian Network Approach for Analysing Topic-Sentiment Evolution. - Huizhi Liang 001; Umarani Ganeshbabu; Thomas Thorne (IEEE Access, 2020)

Health Claims Unpacked: A toolkit to Enhance the Communication of Health Claims for Food. - Xiao Li; Huizhi Liang 001; Zehao Liu 002 (CIKM, 2021)

Augmenting Visual Information in Knowledge Graphs for Recommendations. - Thanet Markchom; Huizhi Liang 001 (IUI, 2021)

UoR at SemEval-2021 Task 7: Utilizing Pre-trained DistilBERT Model and Multi-scale CNN for Humor Detection. - Zehao Liu 002; Carl Haines; Huizhi Liang 001 (SemEval@ACL/IJCNLP, 2021)

UoR at SemEval-2021 Task 4: Using Pre-trained BERT Token Embeddings for Question Answering of Abstract Meaning. - Thanet Markchom; Huizhi Liang 001 (SemEval@ACL/IJCNLP, 2021)

UOR at SemEval-2021 Task 12: On Crowd Annotations; Learning with Disagreements to optimise crowd truth. - Emmanuel Osei-Brefo; Thanet Markchom; Huizhi Liang 001 (SemEval@ACL/IJCNLP, 2021)

Attractiveness Analysis for Health Claims on Food Packages. - Xiao Li; Huizhi Liang 001; Chris Ryder; Rodney Jones; Zehao Liu 002 (AusDM, 2022)

Improving Conversational Recommender Systems via Knowledge Graph-based Semantic Fusion with Historical Interaction Data. - Thamizhiniyan Pugazhenthi; Huizhi Liang 001 (IEEE Big Data, 2022)

Relation-aware Blocking for Scalable Recommendation Systems. - Huizhi Liang 001; Zehao Liu 002; Thanet Markchom (CIKM, 2022)

Improving Ultrasound Image Classification with Local Texture Quantisation. - Xiao Li; Huizhi Liang 001; Sidhartha Nagala; Jane Chen (ICASSP, 2022)

UoR-NCL at SemEval-2022 Task 3: Fine-Tuning the BERT-Based Models for Validating Taxonomic Relations. - Thanet Markchom; Huizhi Liang 001; Jiaoyan Chen 001 (SemEval@NAACL, 2022)

UoR-NCL at SemEval-2022 Task 6: Using ensemble loss with BERT for intended sarcasm detection. - Emmanuel Osei-Brefo; Huizhi Liang 001 (SemEval@NAACL, 2022)

TNE: A general time-aware network representation learning framework for temporal applications. - Huizhi Liang 001; Thanet Markchom (Knowl. Based Syst., 2022)

DRprofiling: Deep Reinforcement User Profiling for Recommendations in Heterogenous Information Networks. - Huizhi Liang 001 (IEEE Trans. Knowl. Data Eng., 2022)

ThyExp: An explainable AI-assisted Decision Making Toolkit for Thyroid Nodule Diagnosis based on Ultra-sound Images. - Jamie Morris; Zehao Liu 002; Huizhi Liang 001; Sidhartha Nagala; Xia Hong 001 (CIKM, 2023)

Temporal Neighborhood based Self-supervised Pre-training Model for Sleep Stages Classification. - Yingxi Wang; Huizhi Liang 001; Bing Zhai (ICBBT, 2023)

UoR-NCL at SemEval-2023 Task 1: Learning Word-Sense and Image Embeddings for Word Sense Disambiguation. - Thanet Markchom; Huizhi Liang 001; Joyce Gitau; Zehao Liu 002; Varun Ojha 001; Lee Taylor; Jake Bonnici; Abdullah Alshadadi (SemEval@ACL, 2023)

nclu_team at SemEval-2023 Task 6: Attention-based Approaches for Large Court Judgement Prediction with Explanation. - Nicolay Rusnachenko; Thanet Markchom; Huizhi Liang 001 (SemEval@ACL, 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 001 (SemEval@ACL, 2023)

Dialogue Agents with Literary Character Personality Traits. - Junzhe Zhao; Huizhi Liang 001; Nicolay Rusnachenko (WI/IAT, 2023)

Scalable and explainable visually-aware recommender systems. - Thanet Markchom; Huizhi Liang 001; James M. Ferryman (Knowl. Based Syst., 2023)

ARElight: Context Sampling of Large Texts for Deep Learning Relation Extraction. - Nicolay Rusnachenko; Huizhi Liang 001; Maksim Kalameyets; Lei Shi 003 (ECIR (5), 2024)

HTEKG: A Human-Trait-Enhanced Literary Knowledge Graph with Language Model Evaluation. - Sreejith Sudhir Kalathil; Tian Li; Hang Dong; Huizhi Liang 001 (KEOD, 2024)

Security Assessment of Hierarchical Federated Deep Learning. - Duaa S. Alqattan; Rui Sun 010; Huizhi Liang 001; Guiseppe Nicosia; Václav Snásel; Rajiv Ranjan 001; Varun Ojha 001 (ICANN (6), 2024)

On Learnable Parameters of Optimal and Suboptimal Deep Learning Models. - Ziwei Zheng; Huizhi Liang 001; Václav Snásel; Vito Latora; Panos M. Pardalos; Guiseppe Nicosia; Varun Ojha 001 (ICONIP (3), 2024)

Cross-Metapath Based Hashing for Recommendation Systems. - Zehao Liu 002; Huizhi Liang 001 (LOD (1), 2024)

Personality Profiling for Literary Character Dialogue Agents with Human Level Attributes. - Nicolay Rusnachenko; Huizhi Liang 001 (LOD (2), 2024)

NU-RU at SemEval-2024 Task 6: Hallucination and Related Observable Overgeneration Mistake Detection Using Hypothesis-Target Similarity and SelfCheckGPT. - Thanet Markchom; Subin Jung; Huizhi Liang 001 (SemEval@NAACL, 2024)

nicolay-r at SemEval-2024 Task 3: Using Flan-T5 for Reasoning Emotion Cause in Conversations with Chain-of-Thought on Emotion States. - Nicolay Rusnachenko; Huizhi Liang 001 (SemEval@NAACL, 2024)

NCL-UoR at SemEval-2024 Task 8: Fine-tuning Large Language Models for Multigenerator, Multidomain, and Multilingual Machine-Generated Text Detection. - Feng Xiong; Thanet Markchom; Ziwei Zheng; Subin Jung; Varun Ojha 001; Huizhi Liang 001 (SemEval@NAACL, 2024)

NCL_NLP at SemEval-2024 Task 7: CoT-NumHG: A CoT-Based SFT Training Strategy with Large Language Models for Number-Focused Headline Generation. - Junzhe Zhao; Yingxi Wang; Huizhi Liang 001; Nicolay Rusnachenko (SemEval@NAACL, 2024)

Zhenmei at WASSA-2024 Empathy and Personality Shared Track 2 Incorporating Pearson Correlation Coefficient as a Regularization Term for Enhanced Empathy and Emotion Prediction in Conversational Turns. - Liting Huang; Huizhi Liang 001 (WASSA, 2024)

Chinchunmei at WASSA 2024 Empathy and Personality Shared Task: Boosting LLM's Prediction with Role-play Augmentation and Contrastive Reasoning Calibration. - Tian Li; Nicolay Rusnachenko; Huizhi Liang 001 (WASSA, 2024)

NU at WASSA 2024 Empathy and Personality Shared Task: Enhancing Personality Predictions with Knowledge Graphs; A Graphical Neural Network and LightGBM Ensemble Approach. - Emmanuel Osei-Brefo; Huizhi Liang 001 (WASSA, 2024)

hyy33 at WASSA 2024 Empathy and Personality Shared Task: Using the CombinedLoss and FGM for Enhancing BERT-based Models in Emotion and Empathy Prediction from Conversation Turns. - Huiyu Yang; Liting Huang; Tian Li; Nicolay Rusnachenko; Huizhi Liang 001 (WASSA, 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 001; Huizhi Liang 001 (CoRR, 2024)

Does Knowledge Graph Really Matter for Recommender Systems? - Haonan Zhang 007; Dongxia Wang 002; Zhu Sun 001; Yanhui Li; Youcheng Sun; Huizhi Liang 001; Wenhai Wang (CoRR, 2024)

On Learnable Parameters of Optimal and Suboptimal Deep Learning Models. - Ziwei Zheng; Huizhi Liang 001; Václav Snásel; Vito Latora; Panos M. Pardalos; Giuseppe Nicosia; Varun Ojha 001 (CoRR, 2024)

Dynamic Label Adversarial Training for Deep Learning Robustness Against Adversarial Attacks. - Zhenyu Liu; Haoran Duan 001; Huizhi Liang 001; Yang Long 001; Václav Snásel; Guiseppe Nicosia; Rajiv Ranjan 001; Varun Ojha 001 (CoRR, 2024)

Speech emotion recognition based on bi-directional acoustic-articulatory conversion. - Haifeng Li; Xueying Zhang; Shufei Duan; Huizhi Liang 001 (Knowl. Based Syst., 2024)

D2R: Dual Regularization Loss with Collaborative Adversarial Generation for Model Robustness. - Zhenyu Liu; Huizhi Liang 001; Rajiv Ranjan 001; Zhanxing Zhu; Václav Snásel; Varun Ojha 001 (ICANN (1), 2025)

KMagent: A Multi-agent Large Language Model-based Knowledge Management Platform for Product Innovation. - Emmanuel Osei-Brefo; Manish Bhardwaj; Huizhi Liang 001; Yong Zhang; Sharon Scott; Zahid Qayyam (LOD (2), 2025)

MemoryChat: Leveraging Large Language Models as Conversational Agents to Transform the Cognitive Assessment in Dementia Care. - Alex Robertson; Huizhi Liang 001; Judith Harrison (LOD (2), 2025)

AdaGAT: Adaptive Guidance Adversarial Training for the Robustness of Deep Neural Networks. - Zhenyu Liu; Xinrun Li; Huizhi Liang 001; Václav Snásel; Varun Ojha 001 (PRCV (4), 2025)

NCL-UoR at SemEval-2025 Task 3: Detecting Multilingual Hallucination and Related Observable Overgeneration Text Spans with Modified RefChecker and Modified SeflCheckGPT. - Jiaying Hong; Thanet Markchom; Jianfei Xu; Tong Wu; Huizhi Liang 001 (SemEval@ACL, 2025)

Chinchunmei at SemEval-2025 Task 11: Boosting the Large Language Model's Capability of Emotion Perception using Contrastive Learning. - Tian Li; Yujian Sun; Huizhi Liang 001 (SemEval@ACL, 2025)

UoR-NCL at SemEval-2025 Task 1: Using Generative LLMs and CLIP Models for Multilingual Multimodal Idiomaticity Representation. - Thanet Markchom; Tong Wu; Liting Huang; Huizhi Liang 001 (SemEval@ACL, 2025)

OseiBrefo-Liang at SemEval-2025 Task 8 : A Multi-Agent LLM code generation approach for answering Tabular Questions. - Emmanuel Osei-Brefo; Huizhi Liang 001 (SemEval@ACL, 2025)

NCL-AR at SemEval-2025 Task 7: A Sieve Filtering Approach to Refute the Misinformation within Harmful Social Media Posts. - Alex Robertson; Huizhi Liang 001 (SemEval@ACL, 2025)

tinaal at SemEval-2025 Task 11: Enhancing Perceived Emotion Intensity Prediction with Boosting Fine-Tuned Transformers. - Ting Zhu; Liting Huang; Huizhi Liang 001 (SemEval@ACL, 2025)

CRRG-CLIP: Automatic Generation of Chest Radiology Reports and Classification of Chest Radiographs. - Jianfei Xu; Thanet Markchom; Huizhi Liang 001 (CoRR, 2025)

KG4RecEval: Does Knowledge Graph Really Matter for Recommender Systems? - Haonan Zhang 007; Dongxia Wang 002; Zhu Sun 001; Yanhui Li; Youcheng Sun; Huizhi Liang 001; Wenhai Wang (ACM Trans. Inf. Syst., 2025)

D2R: dual regularization loss with collaborative adversarial generation for model robustness. - Zhenyu Liu; Huizhi Liang 001; Rajiv Ranjan 001; Zhanxing Zhu; Václav Snásel; Varun Ojha 001 (CoRR, 2025)

Explainable Meta-Path Based Recommender Systems. - Thanet Markchom; Huizhi Liang 001; James M. Ferryman (Trans. Recomm. Syst., 2025)

Deep Learning-Assisted Detection of Sarcopenia in Cross-Sectional Computed Tomography Imaging. - Manish Bhardwaj; Huizhi Liang 001; Ashwin Sivaharan; Sandip Nandhra; Václav Snásel; Tamer El-Sayed; Varun Ojha 001 (CoRR, 2025)

Art2Music: Generating Music for Art Images with Multi-modal Feeling Alignment. - Jiaying Hong; Ting Zhu; Thanet Markchom; Huizhi Liang 001 (CoRR, 2025)

KGHaluBench: A Knowledge Graph-Based Hallucination Benchmark for Evaluating the Breadth and Depth of LLM Knowledge. - Alex Robertson; Huizhi Liang 001; Mahbub Gani; Rohit Kumar; Srijith Rajamohan (EACL (Findings), 2026)

PAD-Guided Multimodal Hybrid Contrastive Emotion Recognition upon STEM-E2VA Dataset. - Shufei Duan; Wenjie Zhang; Liangqi Li; Ting Zhu; Fangyu Zhao; Fujiang Li; Huizhi Liang 001 (Multimodal Technol. Interact., 2026)

Systematic Characterization of Minimal Deep Learning Architectures: A Unified Analysis of Convergence, Pruning, and Quantization. - Ziwei Zheng; Huizhi Liang 001; Václav Snásel; Vito Latora; Panos M. Pardalos; Giuseppe Nicosia; Varun Ojha 001 (CoRR, 2026)

NCL-UoR at SemEval-2026 Task 5: Embedding-Based Methods, Fine-Tuning, and LLMs for Word Sense Plausibility Rating. - Tong Wu; Thanet Markchom; Huizhi Liang 001 (CoRR, 2026)

NCL-BU at SemEval-2026 Task 3: Fine-tuning XLM-RoBERTa for Multilingual Dimensional Sentiment Regression. - Tong Wu; Nicolay Rusnachenko; Huizhi Liang 001 (CoRR, 2026)

Review of Explainable Graph-Based Recommender Systems. - Thanet Markchom; Huizhi Liang 001; James M. Ferryman (ACM Comput. Surv., 2026)

Relation-aware multimodal data hashing for scalable recommendation systems. - Zehao Liu 002; Huizhi Liang 001; Varun Ojha 001 (Data Min. Knowl. Discov., 2026)