Huizhi Liang - RankMe

99 papers A* 2A 7B 2C 1Misc 4Journal 40Unranked 43

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Graph Your Way to Inspiration: Integrating Co-Author Graphs with Retrieval-Augmented Generation for Large Language Model Based Scientific Idea Generation. CoRR Pengzhen Xie, Huizhi Liang
2026	J	`jnl`	HiSpatial: Taming Hierarchical 3D Spatial Understanding in Vision-Language Models. CoRR Huizhi Liang, Yichao Shen, Yu Deng, Sicheng Xu, Zhiyuan Feng, Tong Zhang, Yaobo Liang, Jiaolong Yang
2026	—	`conf`	KGHaluBench: A Knowledge Graph-Based Hallucination Benchmark for Evaluating the Breadth and Depth of LLM Knowledge. EACL (Findings) Alex Robertson, Huizhi Liang, Mahbub Gani, Rohit Kumar, Srijith Rajamohan
2026	J	`jnl`	KGHaluBench: A Knowledge Graph-Based Hallucination Benchmark for Evaluating the Breadth and Depth of LLM Knowledge. CoRR Alex Robertson, Huizhi Liang, Mahbub Gani, Rohit Kumar, Srijith Rajamohan
2026	J	`jnl`	NCL-UoR at SemEval-2026 Task 5: Embedding-Based Methods, Fine-Tuning, and LLMs for Word Sense Plausibility Rating. CoRR Tong Wu, Thanet Markchom, Huizhi Liang
2026	J	`jnl`	Relation-aware multimodal data hashing for scalable recommendation systems. Data Min. Knowl. Discov. Zehao Liu, Huizhi Liang, Varun Ojha
2026	J	`jnl`	Review of Explainable Graph-Based Recommender Systems. ACM Comput. Surv. Thanet Markchom, Huizhi Liang, James M. Ferryman
2026	J	`jnl`	Systematic Characterization of Minimal Deep Learning Architectures: A Unified Analysis of Convergence, Pruning, and Quantization. CoRR Ziwei Zheng, Huizhi Liang, Václav Snásel, Vito Latora, Panos M. Pardalos, Giuseppe Nicosia, Varun Ojha
2025	—	`conf`	AdaGAT: Adaptive Guidance Adversarial Training for the Robustness of Deep Neural Networks. PRCV (4) Zhenyu Liu, Xinrun Li, Huizhi Liang, Václav Snásel, Varun Ojha
2025	J	`jnl`	AdaGAT: Adaptive Guidance Adversarial Training for the Robustness of Deep Neural Networks. CoRR Zhenyu Liu, Huizhi Liang, Xinrun Li, Václav Snásel, Varun Ojha
2025	J	`jnl`	Art2Music: Generating Music for Art Images with Multi-modal Feeling Alignment. CoRR Jiaying Hong, Ting Zhu, Thanet Markchom, Huizhi Liang
2025	J	`jnl`	CRRG-CLIP: Automatic Generation of Chest Radiology Reports and Classification of Chest Radiographs. CoRR Jianfei Xu, Thanet Markchom, Huizhi Liang
2025	J	`jnl`	Chinchunmei at SemEval-2025 Task 11: Boosting the Large Language Model's Capability of Emotion Perception using Contrastive Learning. CoRR Tian Li, Yujian Sun, Huizhi Liang
2025	—	`conf`	D ICANN (1) Zhenyu Liu, Huizhi Liang, Rajiv Ranjan, Zhanxing Zhu, Václav Snásel, Varun Ojha
2025	J	`jnl`	D2R: dual regularization loss with collaborative adversarial generation for model robustness. CoRR Zhenyu Liu, Huizhi Liang, Rajiv Ranjan, Zhanxing Zhu, Václav Snásel, Varun Ojha
2025	J	`jnl`	Data Science Students Perspectives on Learning Analytics: An Application of Human-Led and LLM Content Analysis. CoRR Raghda Zahran, Jianfei Xu, Huizhi Liang, Matthew Forshaw
2025	J	`jnl`	Deep Learning-Assisted Detection of Sarcopenia in Cross-Sectional Computed Tomography Imaging. CoRR Manish Bhardwaj, Huizhi Liang, Ashwin Sivaharan, Sandip Nandhra, Václav Snásel, Tamer El-Sayed, Varun Ojha
2025	J	`jnl`	Explainable Meta-Path Based Recommender Systems. Trans. Recomm. Syst. Thanet Markchom, Huizhi Liang, James M. Ferryman
2025	J	`jnl`	KG4RecEval: Does Knowledge Graph Really Matter for Recommender Systems? ACM Trans. Inf. Syst. Haonan Zhang, Dongxia Wang, Zhu Sun, Yanhui Li, Youcheng Sun, Huizhi Liang, Wenhai Wang
2025	J	`jnl`	NCL-UoR at SemEval-2025 Task 3: Detecting Multilingual Hallucination and Related Observable Overgeneration Text Spans with Modified RefChecker and Modified SeflCheckGPT. CoRR Jiaying Hong, Thanet Markchom, Jianfei Xu, Tong Wu, Huizhi Liang
2025	J	`jnl`	Scalable Vision-Language-Action Model Pretraining for Robotic Manipulation with Real-Life Human Activity Videos. CoRR Qixiu Li, Yu Deng, Yaobo Liang, Lin Luo, Lei Zhou, Chengtang Yao, Lingqi Zeng, Zhiyuan Feng, Huizhi Liang, Sicheng Xu, Yizhong Zhang, Xi Chen, Hao Chen, Lily Sun, Dong Chen, Jiaolong Yang, Baining Guo
2025	J	`jnl`	Seeing Across Views: Benchmarking Spatial Reasoning of Vision-Language Models in Robotic Scenes. CoRR Zhiyuan Feng, Zhaolu Kang, Qijie Wang, Zhiying Du, Jiongrui Yan, Shubin Shi, Chengbo Yuan, Huizhi Liang, Yu Deng, Qixiu Li, Rushuai Yang, Arctanx An, Leqi Zheng, Weijie Wang, Shawn Chen, Sicheng Xu, Yaobo Liang, Jiaolong Yang, Baining Guo
2025	J	`jnl`	UoR-NCL at SemEval-2025 Task 1: Using Generative LLMs and CLIP Models for Multilingual Multimodal Idiomaticity Representation. CoRR Thanet Markchom, Tong Wu, Liting Huang, Huizhi Liang
2024	—	`conf`	ARElight: Context Sampling of Large Texts for Deep Learning Relation Extraction. ECIR (5) Nicolay Rusnachenko, Huizhi Liang, Maksim Kalameyets, Lei Shi
2024	—	`conf`	Chinchunmei at WASSA 2024 Empathy and Personality Shared Task: Boosting LLM's Prediction with Role-play Augmentation and Contrastive Reasoning Calibration. WASSA Tian Li, Nicolay Rusnachenko, Huizhi Liang
2024	J	`jnl`	Construction and Evaluation of Mandarin Multimodal Emotional Speech Database. CoRR Ting Zhu, Liangqi Li, Shufei Duan, Xueying Zhang, Zhongzhe Xiao, Hairong Jia, Huizhi Liang
2024	—	`conf`	Cross-Metapath Based Hashing for Recommendation Systems. LOD (1) Zehao Liu, Huizhi Liang
2024	J	`jnl`	Does Knowledge Graph Really Matter for Recommender Systems? CoRR Haonan Zhang, Dongxia Wang, Zhu Sun, Yanhui Li, Youcheng Sun, Huizhi Liang, Wenhai Wang
2024	J	`jnl`	Dynamic Label Adversarial Training for Deep Learning Robustness Against Adversarial Attacks. CoRR Zhenyu Liu, Haoran Duan, Huizhi Liang, Yang Long, Václav Snásel, Guiseppe Nicosia, Rajiv Ranjan, Varun Ojha
2024	J	`jnl`	Enhancing dysarthria speech feature representation with empirical mode decomposition and Walsh-Hadamard transform. CoRR Ting Zhu, Shufei Duan, Camille Dingam, Huizhi Liang, Wei Zhang
2024	J	`jnl`	Fine-tuning Large Language Models for Multigenerator, Multidomain, and Multilingual Machine-Generated Text Detection. CoRR Feng Xiong, Thanet Markchom, Ziwei Zheng, Subin Jung, Varun Ojha, Huizhi Liang
2024	C	`conf`	HTEKG: A Human-Trait-Enhanced Literary Knowledge Graph with Language Model Evaluation. KEOD Sreejith Sudhir Kalathil, Tian Li, Hang Dong, Huizhi Liang
2024	—	`conf`	NCL Team at SemEval-2024 Task 3: Fusing Multimodal Pre-training Embeddings for Emotion Cause Prediction in Conversations. SemEval@NAACL Shu Li, Zicen Liao, Huizhi Liang
2024	—	`conf`	NCL-UoR at SemEval-2024 Task 8: Fine-tuning Large Language Models for Multigenerator, Multidomain, and Multilingual Machine-Generated Text Detection. SemEval@NAACL Feng Xiong, Thanet Markchom, Ziwei Zheng, Subin Jung, Varun Ojha, Huizhi Liang
2024	—	`conf`	NCL_NLP at SemEval-2024 Task 7: CoT-NumHG: A CoT-Based SFT Training Strategy with Large Language Models for Number-Focused Headline Generation. SemEval@NAACL Junzhe Zhao, Yingxi Wang, Huizhi Liang, Nicolay Rusnachenko
2024	—	`conf`	NU at WASSA 2024 Empathy and Personality Shared Task: Enhancing Personality Predictions with Knowledge Graphs; A Graphical Neural Network and LightGBM Ensemble Approach. WASSA Emmanuel Osei-Brefo, Huizhi Liang
2024	—	`conf`	NU-RU at SemEval-2024 Task 6: Hallucination and Related Observable Overgeneration Mistake Detection Using Hypothesis-Target Similarity and SelfCheckGPT. SemEval@NAACL Thanet Markchom, Subin Jung, Huizhi Liang
2024	—	`conf`	On Learnable Parameters of Optimal and Suboptimal Deep Learning Models. ICONIP (3) Ziwei Zheng, Huizhi Liang, Václav Snásel, Vito Latora, Panos M. Pardalos, Guiseppe Nicosia, Varun Ojha
2024	J	`jnl`	On Learnable Parameters of Optimal and Suboptimal Deep Learning Models. CoRR Ziwei Zheng, Huizhi Liang, Václav Snásel, Vito Latora, Panos M. Pardalos, Giuseppe Nicosia, Varun Ojha
2024	—	`conf`	On the Scale-Free Property of Citation Networks: An Empirical Study. WWW (Companion Volume) Xiaoshi Zhong, Huizhi Liang
2024	—	`conf`	Personality Profiling for Literary Character Dialogue Agents with Human Level Attributes. LOD (2) Nicolay Rusnachenko, Huizhi Liang
2024	J	`jnl`	Review of Explainable Graph-Based Recommender Systems. CoRR Thanet Markchom, Huizhi Liang, James M. Ferryman
2024	—	`conf`	Security Assessment of Hierarchical Federated Deep Learning. ICANN (6) Duaa S. Alqattan, Rui Sun, Huizhi Liang, Guiseppe Nicosia, Václav Snásel, Rajiv Ranjan, Varun Ojha
2024	J	`jnl`	Speech emotion recognition based on bi-directional acoustic-articulatory conversion. Knowl. Based Syst. Haifeng Li, Xueying Zhang, Shufei Duan, Huizhi Liang
2024	—	`conf`	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. WASSA Liting Huang, Huizhi Liang
2024	—	`conf`	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. WASSA Huiyu Yang, Liting Huang, Tian Li, Nicolay Rusnachenko, Huizhi Liang
2024	—	`conf`	nicolay-r at SemEval-2024 Task 3: Using Flan-T5 for Reasoning Emotion Cause in Conversations with Chain-of-Thought on Emotion States. SemEval@NAACL Nicolay Rusnachenko, Huizhi Liang
2024	J	`jnl`	nicolay-r at SemEval-2024 Task 3: Using Flan-T5 for Reasoning Emotion Cause in Conversations with Chain-of-Thought on Emotion States. CoRR Nicolay Rusnachenko, Huizhi Liang
2023	J	`jnl`	Design, construction and evaluation of emotional multimodal pathological speech database. CoRR Ting Zhu, Shufei Duan, Huizhi Liang, Wei Zhang
2023	—	`conf`	Dialogue Agents with Literary Character Personality Traits. WI/IAT Junzhe Zhao, Huizhi Liang, Nicolay Rusnachenko
2023	—	`conf`	Legal_try at SemEval-2023 Task 6: Voting Heterogeneous Models for Entities identification in Legal Documents. SemEval@ACL Junzhe Zhao, Yingxi Wang, Nicolay Rusnachenko, Huizhi Liang
2023	J	`jnl`	Scalable and explainable visually-aware recommender systems. Knowl. Based Syst. Thanet Markchom, Huizhi Liang, James M. Ferryman
2023	—	`conf`	Temporal Neighborhood based Self-supervised Pre-training Model for Sleep Stages Classification. ICBBT Yingxi Wang, Huizhi Liang, Bing Zhai
2023	A	`conf`	ThyExp: An explainable AI-assisted Decision Making Toolkit for Thyroid Nodule Diagnosis based on Ultra-sound Images. CIKM Jamie Morris, Zehao Liu, Huizhi Liang, Sidhartha Nagala, Xia Hong
2023	—	`conf`	UoR-NCL at SemEval-2023 Task 1: Learning Word-Sense and Image Embeddings for Word Sense Disambiguation. SemEval@ACL Thanet Markchom, Huizhi Liang, Joyce Gitau, Zehao Liu, Varun Ojha, Lee Taylor, Jake Bonnici, Abdullah Alshadadi
2023	—	`conf`	nclu_team at SemEval-2023 Task 6: Attention-based Approaches for Large Court Judgement Prediction with Explanation. SemEval@ACL Nicolay Rusnachenko, Thanet Markchom, Huizhi Liang
2022	Misc	`conf`	Attractiveness Analysis for Health Claims on Food Packages. AusDM Xiao Li, Huizhi Liang, Chris Ryder, Rodney Jones, Zehao Liu
2022	J	`jnl`	DRprofiling: Deep Reinforcement User Profiling for Recommendations in Heterogenous Information Networks. IEEE Trans. Knowl. Data Eng. Huizhi Liang
2022	B	`conf`	Improving Conversational Recommender Systems via Knowledge Graph-based Semantic Fusion with Historical Interaction Data. IEEE Big Data Thamizhiniyan Pugazhenthi, Huizhi Liang
2022	Misc	`conf`	Improving Ultrasound Image Classification with Local Texture Quantisation. ICASSP Xiao Li, Huizhi Liang, Sidhartha Nagala, Jane Chen
2022	A	`conf`	Relation-aware Blocking for Scalable Recommendation Systems. CIKM Huizhi Liang, Zehao Liu, Thanet Markchom
2022	J	`jnl`	TNE: A general time-aware network representation learning framework for temporal applications. Knowl. Based Syst. Huizhi Liang, Thanet Markchom
2022	—	`conf`	UoR-NCL at SemEval-2022 Task 3: Fine-Tuning the BERT-Based Models for Validating Taxonomic Relations. SemEval@NAACL Thanet Markchom, Huizhi Liang, Jiaoyan Chen
2022	—	`conf`	UoR-NCL at SemEval-2022 Task 6: Using ensemble loss with BERT for intended sarcasm detection. SemEval@NAACL Emmanuel Osei-Brefo, Huizhi Liang
2021	A	`conf`	Augmenting Visual Information in Knowledge Graphs for Recommendations. IUI Thanet Markchom, Huizhi Liang
2021	A	`conf`	Health Claims Unpacked: A toolkit to Enhance the Communication of Health Claims for Food. CIKM Xiao Li, Huizhi Liang, Zehao Liu
2021	—	`conf`	UOR at SemEval-2021 Task 12: On Crowd Annotations; Learning with Disagreements to optimise crowd truth. SemEval@ACL/IJCNLP Emmanuel Osei-Brefo, Thanet Markchom, Huizhi Liang
2021	—	`conf`	UoR at SemEval-2021 Task 4: Using Pre-trained BERT Token Embeddings for Question Answering of Abstract Meaning. SemEval@ACL/IJCNLP Thanet Markchom, Huizhi Liang
2021	—	`conf`	UoR at SemEval-2021 Task 7: Utilizing Pre-trained DistilBERT Model and Multi-scale CNN for Humor Detection. SemEval@ACL/IJCNLP Zehao Liu, Carl Haines, Huizhi Liang
2020	J	`jnl`	A Dynamic Bayesian Network Approach for Analysing Topic-Sentiment Evolution. IEEE Access Huizhi Liang, Umarani Ganeshbabu, Thomas Thorne
2020	J	`jnl`	IEEE Access Special Section Editorial: Advanced Data Mining Methods for Social Computing. IEEE Access Yongqiang Zhao, Shirui Pan, Jia Wu, Huaiyu Wan, Huizhi Liang, Haishuai Wang, Huawei Shen
2020	A*	`conf`	Identity-Aware Attribute Recognition via Real-Time Distributed Inference in Mobile Edge Clouds. ACM Multimedia Zichuan Xu, Jiangkai Wu, Qiufen Xia, Pan Zhou, Jiankang Ren, Huizhi Liang
2020	J	`jnl`	Identity-Aware Attribute Recognition via Real-Time Distributed Inference in Mobile Edge Clouds. CoRR Zichuan Xu, Jiangkai Wu, Qiufen Xia, Pan Zhou, Jiankang Ren, Huizhi Liang
2020	—	`conf`	UoR at SemEval-2020 Task 4: Pre-trained Sentence Transformer Models for Commonsense Validation and Explanation. SemEval@COLING Thanet Markchom, Bhuvana Dhruva, Chandresh Pravin, Huizhi Liang
2020	—	`conf`	UoR at SemEval-2020 Task 8: Gaussian Mixture Modelling (GMM) Based Sampling Approach for Multi-modal Memotion Analysis. SemEval@COLING Zehao Liu, Emmanuel Osei-Brefo, Siyuan Chen, Huizhi Liang
2018	—	`conf`	Explainable Sentiment Analysis with Applications in Medicine. BIBM Chiara Zucco, Huizhi Liang, Giuseppe Di Fatta, Mario Cannataro
2016	J	`jnl`	Semantic-Aware Blocking for Entity Resolution. IEEE Trans. Knowl. Data Eng. Qing Wang, Mingyuan Cui, Huizhi Liang
2016	A*	`conf`	Semantic-aware blocking for entity resolution. ICDE Qing Wang, Mingyuan Cui, Huizhi Liang
2016	—	`conf`	Toward Sentiment Analysis in Elderly Care Facility. JSAI-isAI Workshops Ken Fukuda, Satoshi Nishimura, Huizhi Liang, Takuichi Nishimura
2016	—	`conf`	UNIMELB at SemEval-2016 Tasks 4A and 4B: An Ensemble of Neural Networks and a Word2Vec Based Model for Sentiment Classification. SemEval@NAACL-HLT Steven Xu, Huizhi Liang, Timothy Baldwin
2016	—	`conf`	UniMelb at SemEval-2016 Task 3: Identifying Similar Questions by combining a CNN with String Similarity Measures. SemEval@NAACL-HLT Timothy Baldwin, Huizhi Liang, Bahar Salehi, Doris Hoogeveen, Yitong Li, Long Duong
2015	A	`conf`	A Probabilistic Rating Auto-encoder for Personalized Recommender Systems. CIKM Huizhi Liang, Timothy Baldwin
2015	J	`jnl`	Dynamic Sorted Neighborhood Indexing for Real-Time Entity Resolution. ACM J. Data Inf. Qual. Banda Ramadan, Peter Christen, Huizhi Liang, Ross W. Gayler
2015	—	`conf`	RoseMerry: A Baseline Message-level Sentiment Classification System. SemEval@NAACL-HLT Huizhi Liang, Richard Fothergill, Timothy Baldwin
2014	J	`jnl`	Algorithm Optimization of Resources Scheduling Based on Cloud Computing. J. Multim. Zhongli Liu, Hangjun Zhou, Sha Fu, Chaoqun Liu, Huizhi Liang
2014	Misc	`conf`	Dynamic Sorted Neighborhood Indexing for Real-Time Entity Resolution. ADC Banda Ramadan, Peter Christen, Huizhi Liang
2014	—	`conf`	Noise-Tolerant Approximate Blocking for Dynamic Real-Time Entity Resolution. PAKDD (2) Huizhi Liang, Yanzhe Wang, Peter Christen, Ross W. Gayler
2014	Misc	`conf`	Real-time Collaborative Filtering Recommender Systems. AusDM Huizhi Liang, Haoran Du, Qing Wang
2013	—	`conf`	Dynamic Similarity-Aware Inverted Indexing for Real-Time Entity Resolution. PAKDD Workshops Banda Ramadan, Peter Christen, Huizhi Liang, Ross W. Gayler, David Hawking
2012	J	`jnl`	Personalized recommender systems integrating tags and item taxonomy. Web Intell. Agent Syst. Huizhi Liang, Yue Xu, Yuefeng Li
2012	A	`conf`	Time-aware topic recommendation based on micro-blogs. CIKM Huizhi Liang, Yue Xu, Dian Tjondronegoro, Peter Christen
2010	—	`conf`	Connecting users and items with weighted tags for personalized item recommendations. HT Huizhi Liang, Yue Xu, Yuefeng Li, Richi Nayak, Xiaohui Tao
2010	B	`conf`	Developing Trust Networks Based on User Tagging Information for Recommendation Making. WISE Touhid Bhuiyan, Yue Xu, Audun Jøsang, Huizhi Liang, Clive Cox
2010	—	`conf`	Mining Users' Opinions Based on Item Folksonomy and Taxonomy for Personalized Recommender Systems. ICDM Workshops Huizhi Liang, Yue Xu, Yuefeng Li
2010	—	`conf`	Parallel User Profiling Based on Folksonomy for Large Scaled Recommender Systems: An Implimentation of Cascading MapReduce. ICDM Workshops Huizhi Liang, Jim Hogan, Yue Xu
2010	A	`conf`	Personalized recommender system based on item taxonomy and folksonomy. CIKM Huizhi Liang, Yue Xu, Yuefeng Li, Richi Nayak
2009	—	`conf`	Personalized Recommender Systems Integrating Social Tags and Item Taxonomy. Web Intelligence Huizhi Liang, Yue Xu, Yuefeng Li, Richi Nayak, Li-Tung Weng
2009	—	`conf`	Tag Based Collaborative Filtering for Recommender Systems. RSKT Huizhi Liang, Yue Xu, Yuefeng Li, Richi Nayak
2008	—	`conf`	Collaborative Filtering Recommender Systems Using Tag Information. Web Intelligence/IAT Workshops Huizhi Liang, Yue Xu, Yuefeng Li, Richi Nayak