Publications

More up-to-date lists can be found on Google Scholar and DBLP.

2024

  1. Luo, Linhao and Li, Yuan-Fang and Haffari, Reza and Pan, Shirui.
    Reasoning on Graphs: Faithful and Interpretable Large Language Model Reasoning.
    12th International Conference on Learning Representations (ICLR), 2024.
  2. Jin, Ming and Wang, Shiyu and Ma, Lintao and Chu, Zhixuan and Zhang, James Y. and Shi, Xiaoming and Chen, Pin-Yu and Liang, Yuxuan and Li, Yuan-Fang and Pan, Shirui and Wen, Qingsong.
    Time-LLM: Time Series Forecasting by Reprogramming Large Language Models.
    12th International Conference on Learning Representations (ICLR), 2024.
  3. Takerngsaksiri, Wannita and Tantithamthavorn, Chakkrit and Li, Yuan-Fang.
    Syntax-aware on-the-fly code completion.
    Information and Software Technology, 2024.

2023

  1. Guo, Xiaoyu and Li, Yuan-Fang and Haffari, Gholamreza.
    DeSIQ: Towards an Unbiased, Challenging Benchmark for Social Intelligence Understanding.
    Proceedings of EMNLP 2023, 2023.
  2. He, Tao and Gao, Lianli and Song, Jingkuan and Li, Yuan-Fang.
    Towards a Unified Transformer-based Framework for Scene Graph Generation and Human-object Interaction Detection.
    IEEE Transactions on Image Processing (TIP), 2023.
  3. Hashem, Tahsina and Wang, Weiqing and Wijaya, Derry Tanti and Ali, Mohammed Eunus and Li, Yuan-Fang.
    Generating Faithful Text From a Knowledge Graph with Noisy Reference Text.
    Proceedings of the 16th International Natural Language Generation Conference (INLG), 2023.
  4. Wu, Tongtong and Shiri, Fatemeh and Kang, Jingqi and Qi, Guilin and Haffari, Gholamreza and Li, Yuan-Fang.
    KC-GEE: knowledge-based conditioning for generative event extraction.
    World Wide Web, 2023.
  5. Bhattacharjee, Abhik and Hasan, Tahmid and Ahmad, Wasi Uddin and Li, Yuan-Fang and Kang, Yong-Bin and Shahriyar, Rifat.
    CrossSum: Beyond English-Centric Cross-Lingual Summarization for 1,500+ Language Pairs.
    Proceedings of ACL, 2023, 2023.
  6. Zhuo, Terry Yue and Li, Zhuang and Huang, Yujin and Shiri, Fatemeh and Wang, Weiqing and Haffari, Gholamreza and Li, Yuan-Fang.
    On Robustness of Prompt-based Semantic Parsing with Large Pre-trained Language Model: An Empirical Study on Codex.
    Proceedings of EACL, 2023.
  7. Moghimifar, Farhad and Shiri, Fatemeh and Haffari, Reza and Li, Yuan-Fang and Nguyen, Van.
    Few-shot Domain-Adaptative Visually-fused Event Detection from Text.
    26th International Conference on Information Fusion, FUSION 2023, 2023.
  8. Luo, Linhao and Li, Yuan-Fang and Haffari, Gholamreza and Pan, Shirui.
    Normalizing Flow-based Neural Process for Few-Shot Knowledge Graph Completion.
    Proceedings of SIGIR, 2023.
  9. He, Tao and Gao, Lianli and Song, Jingkuan and Li, Yuan-Fang.
    State-Aware Compositional Learning Toward Unbiased Training for Scene Graph Generation.
    IEEE Trans. Image Process. (TIP), 2023.
  10. He, Tao and Gao, Lianli and Song, Jingkuan and Li, Yuan-Fang.
    Transferable and differentiable discrete network embedding for multi-domains with hierarchical knowledge distillation.
    Inf. Sci., 2023.
  11. Zhu, Junchen and Gao, Lianli and Song, Jingkuan and Li, Yuan-Fang and Zheng, Feng and Li, Xuelong and Shen, Heng Tao.
    Label-Guided Generative Adversarial Network for Realistic Image Synthesis.
    IEEE Trans. Pattern Anal. Mach. Intell., 2023.
  12. Jin, Ming and Zheng, Yu and Li, Yuan-Fang and Chen, Siheng and Yang, Bin and Pan, Shirui.
    Multivariate Time Series Forecasting With Dynamic Graph Neural ODEs.
    IEEE Trans. Knowl. Data Eng., 2023.
  13. He, Tao and Gao, Lianli and Song, Jingkuan and Li, Yuan-Fang.
    Semisupervised Network Embedding With Differentiable Deep Quantization.
    IEEE Trans. Neural Networks Learn. Syst., 2023.
  14. Zhai, Songlin and Wang, Weiqing and Li, Yuan-Fang and Meng, Yuan.
    DNG: Taxonomy Expansion by Exploring the Intrinsic Directed Structure on Non-gaussian Space.
    Thirty-Seventh AAAI Conference on Artificial Intelligence, AAAI 2023, 2023.
  15. Moghimifar, Farhad and Qu, Shilin and Wu, Tongtong and Li, Yuan-Fang and Haffari, Gholamreza.
    NormMark: A Weakly Supervised Markov Model for Socio-cultural Norm Discovery.
    Findings of ACL 2023, 2023.

2022

  1. Guo, Xiao-Yu and Li, Yuan-Fang and Haffari, Gholamreza.
    Complex Reading Comprehension Through Question Decomposition.
    Proceedings of the The 20th Annual Workshop of the Australasian Language Technology Association (ALTA), 2022.
  2. He, Tao and Gao, Lianli and Song, Jingkuan and Li, Yuan-Fang.
    Towards Open-Vocabulary Scene Graph Generation with Prompt-Based Finetuning.
    Computer Vision - ECCV 2022 - 17th European Conference, 2022.
  3. Wu, Tongtong and Wang, Guitao and Zhao, Jinming and Liu, Zhaoran and Qi, Guilin and Li, Yuan-Fang and Haffari, Gholamreza.
    Towards relation extraction from speech.
    Proceedings EMNLP, 2022.
  4. Shiri, Fatemeh and Zhuo, Terry Yue and Li, Zhuang and Pan, Shirui and Wang, Weiqing and Haffari, Reza and Li, Yuan-Fang and Nguyen, Van.
    Paraphrasing Techniques for Maritime QA system.
    25th International Conference on Information Fusion, FUSION 2022, Linköping, Sweden, July 4-7, 2022, 2022.
  5. Wu, Tongtong and Caccia, Massimo and Li, Zhuang and Li, Yuan-Fang and Qi, Guilin and Haffari, Gholamreza.
    Pretrained Language Model in Continual Learning: A Comparative Study.
    Proceedings of ICLR, 2022.
  6. Jin, Ming and Li, Yuan-Fang and Pan, Shirui.
    Neural Temporal Walks: Motif-Aware Representation Learning on Continuous-Time Dynamic Graphs.
    NeurIPS, 2022.
  7. Zheng, Yizhen and Jin, Ming and Pan, Shirui and Li, Yuan-Fang and Peng, Hao and Li, Ming and Li, Zhao.
    Toward Graph Self-Supervised Learning With Contrastive Adjusted Zooming.
    IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2022.
  8. Ji, Qiu and Li, Weizhuo and Zhou, Shiqi and Qi, Guilin and Li, Yuan-Fang.
    Benchmark construction and experimental evaluations for incoherent ontologies.
    Knowl. Based Syst., 2022.
  9. Xin, Ziyin and Cai, Yujun and Dang, Louis T. and Burke, Hannah M. S. and Revote, Jerico and Charitakis, Natalie and Bienroth, Denis and Nim, Hieu T. and Li, Yuan-Fang and Ramialison, Mirana.
    MonaGO: a novel gene ontology enrichment analysis visualisation system.
    BMC Bioinform., 2022.
  10. Xu, Kang and Lu, Xiaoqiu and Li, Yuan-Fang and Wu, Tongtong and Qi, Guilin and Ye, Ning and Wang, Dong and Zhou, Zheng.
    Neural Topic Modeling with Deep Mutual Information Estimation.
    Big Data Res., 2022.
  11. Liu, Pengkai and Wang, Xin and Fu, Qiang and Yang, Yajun and Li, Yuan-Fang and Zhang, Qingpeng.
    KGVQL: A knowledge graph visual query language with bidirectional transformations.
    Knowl. Based Syst., 2022.
  12. Chen, Jiayi and Guo, Xiaoyu and Li, Yuan-Fang and Haffari, Gholamreza.
    Teaching Neural Module Networks to Do Arithmetic.
    Proceedings of the 29th International Conference on Computational Linguistics, COLING, 2022.
  13. Chen, Jincai and Zhang, Sheng and Zeng, Jiangfeng and Zou, Fuhao and Li, Yuan-Fang and Liu, Tao and Lu, Ping.
    Multi-level, multi-modal interactions for visual question answering over text in images.
    World Wide Web, 2022.

2021

  1. Zheng, Xianda and Li, Yuan-Fang and Gao, Huan and Hua, Yuncheng and Qi, Guilin.
    Towards Balanced Defect Prediction with Better Information Propagation.
    Thirty-Fifth AAAI Conference on Artificial Intelligence, AAAI 2021, 2021.
  2. Das, Sarkar Snigdha Sarathi and Ali, Mohammed Eunus and Li, Yuan-Fang and Kang, Yong-Bin and Sellis, Timos.
    Boosting house price predictions using geo-spatial network embedding.
    Data Min. Knowl. Discov., 2021.
  3. Zhang, Sheng and Chen, Min and Chen, Jincai and Zou, Fuhao and Li, Yuan-Fang and Lu, Ping.
    Multimodal feature-wise co-attention method for visual question answering.
    Inf. Fusion, 2021.
  4. Zhang, Sheng and Chen, Min and Chen, Jincai and Li, Yuan-Fang and Wu, Yiling and Li, Minglei and Zhu, Chuanbo.
    Combining cross-modal knowledge transfer and semi-supervised learning for speech emotion recognition.
    Knowl. Based Syst., 2021.
  5. Gao, Lianli and Chen, Tangming and Li, Xiangpeng and Zeng, Pengpeng and Zhao, Lei and Li, Yuan-Fang.
    Generalized pyramid co-attention with learnable aggregation net for video question answering.
    Pattern Recognit., 2021.
  6. Wu, Tongtong and Li, Xuekai and Li, Yuan-Fang and Haffari, Gholamreza and Qi, Guilin and Zhu, Yujin and Xu, Guoqiang.
    Curriculum-Meta Learning for Order-Robust Continual Relation Extraction.
    Thirty-Fifth AAAI Conference on Artificial Intelligence, AAAI 2021, 2021.
  7. Shen, Shirong and Wu, Tongtong and Qi, Guilin and Li, Yuan-Fang and Haffari, Gholamreza and Bi, Sheng.
    Adaptive Knowledge-Enhanced Bayesian Meta-Learning for Few-shot Event Detection.
    Findings of ACL/IJCNLP 2021, 2021.
  8. Hasan, Tahmid and Bhattacharjee, Abhik and Islam, Md. Saiful and Mubasshir, Kazi Samin and Li, Yuan-Fang and Kang, Yong-Bin and Rahman, M. Sohel and Shahriyar, Rifat.
    XL-Sum: Large-Scale Multilingual Abstractive Summarization for 44 Languages.
    Findings of ACL/IJCNLP 2021, 2021.
  9. Jin, Ming and Liu, Yixin and Zheng, Yu and Chi, Lianhua and Li, Yuan-Fang and Pan, Shirui.
    ANEMONE: Graph Anomaly Detection with Multi-Scale Contrastive Learning.
    CIKM ’21: The 30th ACM International Conference on Information and Knowledge Management, 2021.
  10. Guo, Xiaoyu and Li, Yuan-Fang and Haffari, Gholamreza.
    Improving Numerical Reasoning Skills in the Modular Approach for Complex Question Answering on Text.
    Findings of the Association for Computational Linguistics: EMNLP 2021, 2021.
  11. Bi, Sheng and Cheng, Xiya and Li, Yuan-Fang and Qu, Lizhen and Shen, Shirong and Qi, Guilin and Pan, Lu and Jiang, Yinlin.
    Simple or Complex? Complexity-controllable Question Generation with Soft Templates and Deep Mixture of Experts Model.
    Findings of the Association for Computational Linguistics: EMNLP 2021, 2021.
  12. Shiri, Fatemeh and Wang, Teresa and Pan, Shirui and Chang, Xiaojun and Li, Yuan-Fang and Haffari, Reza and Nguyen, Van and Yu, Shuang.
    Toward the Automated Construction of Probabilistic Knowledge Graphs for the Maritime Domain.
    24th IEEE International Conference on Information Fusion, FUSION 2021, 2021.
  13. He, Tao and Gao, Lianli and Song, Jingkuan and Li, Yuan-Fang.
    Exploiting Scene Graphs for Human-Object Interaction Detection.
    2021 IEEE/CVF International Conference on Computer Vision, ICCV 2021, 2021.
  14. Jin, Ming and Zheng, Yizhen and Li, Yuan-Fang and Gong, Chen and Zhou, Chuan and Pan, Shirui.
    Multi-Scale Contrastive Siamese Networks for Self-Supervised Graph Representation Learning.
    Proceedings of IJCAI 2021, 2021.
  15. Gao, Zhipeng and Xia, Xin and Lo, David and Grundy, John C. and Li, Yuan-Fang.
    Code2Que: a tool for improving question titles from mined code snippets in stack overflow.
    ESEC/FSE ’21: 29th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2021.
  16. Li, Sizhuo and Chen, Weixue and Liu, Baozhu and Liu, Pengkai and Wang, Xin and Li, Yuan-Fang.
    OntoSP: Ontology-Based Semantic-Aware Partitioning on RDF Graphs.
    Web Information Systems Engineering - WISE 2021 - 22nd International Conference on Web Information Systems Engineering, WISE 2021, Melbourne, VIC, Australia, October 26-29, 2021, Proceedings, Part I, 2021.

2020

  1. Guo, Xiaoyu and Li, Yuan-Fang and Haffari, Gholamreza.
    Understanding Unnatural Questions Improves Reasoning over Text.
    Proceedings of the 28th International Conference on Computational Linguistics, COLING 2020, 2020.
  2. Hettige, Bhagya and Wang, Weiqing and Li, Yuan-Fang and Le, Suong and Buntine, Wray L..
    MedGraph: Structural and Temporal Representation Learning of Electronic Medical Records.
    ECAI 2020 - 24th European Conference on Artificial Intelligence, 2020.
  3. Li, Yuan-Fang and Kang, Yong-Bin.
    Towards Meta-Reasoning for Ontologies: A Roadmap.
    ECAI 2020 - 24th European Conference on Artificial Intelligence, 2020.
  4. Hua, Yuncheng and Li, Yuan-Fang and Haffari, Gholamreza and Qi, Guilin and Wu, Tongtong.
    Few-Shot Complex Knowledge Base Question Answering via Meta Reinforcement Learning.
    Proceedings of EMNLP 2020, 2020.
  5. He, Tao and Gao, Lianli and Song, Jingkuan and Cai, Jianfei and Li, Yuan-Fang.
    Learning from the Scene and Borrowing from the Rich: Tackling the Long Tail in Scene Graph Generation.
    Proceedings of IJCAI 2020, 2020.
  6. Hua, Yuncheng and Li, Yuan-Fang and Haffari, Gholamreza and Qi, Guilin and Wu, Wei.
    Retrieve, Program, Repeat: Complex Knowledge Base Question Answering via Alternate Meta-learning.
    Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, IJCAI 2020, 2020.
  7. Kumar, Vishwajeet and Joshi, Manish and Ramakrishnan, Ganesh and Li, Yuan-Fang.
    Vocabulary Matters: A Simple yet Effective Approach to Paragraph-level Question Generation.
    Proceedings of AACL/IJCNLP 2020, 2020.
  8. Wang, Haichi and Wang, Zan and Sun, Jun and Liu, Shuang and Sadiq, Ayesha and Li, Yuan-Fang.
    Towards Generating Thread-Safe Classes Automatically.
    35th IEEE/ACM International Conference on Automated Software Engineering, ASE 2020, 2020.
  9. Hettige, Bhagya and Wang, Weiqing and Li, Yuan-Fang and Buntine, Wray L..
    Robust Attribute and Structure Preserving Graph Embedding.
    Advances in Knowledge Discovery and Data Mining - 24th Pacific-Asia Conference, PAKDD 2020, Singapore, May 11-14, 2020, Proceedings, Part II, 2020.
  10. Bi, Sheng and Cheng, Xiya and Li, Yuan-Fang and Wang, Yongzhen and Qi, Guilin.
    Knowledge-enriched, Type-constrained and Grammar-guided Question Generation over Knowledge Bases.
    Proceedings of the 28th International Conference on Computational Linguistics, COLING 2020, Barcelona, Spain (Online), December 8-13, 2020, 2020.
  11. Hettige, Bhagya and Li, Yuan-Fang and Wang, Weiqing and Buntine, Wray L..
    Gaussian Embedding of Large-Scale Attributed Graphs.
    Databases Theory and Applications - 31st Australasian Database Conference, ADC 2020, Melbourne, VIC, Australia, February 3-7, 2020, Proceedings, 2020.
  12. Hua, Yuncheng and Li, Yuan-Fang and Qi, Guilin and Wu, Wei and Zhang, Jingyao and Qi, Daiqing.
    Less is more: Data-efficient complex question answering over knowledge bases.
    J. Web Semant., 2020.
  13. Yang, Ying and Wybrow, Michael and Li, Yuan-Fang and Czauderna, Tobias and He, Yongqun.
    OntoPlot: A Novel Visualisation for Non-hierarchical Associations in Large Ontologies.
    IEEE Trans. Vis. Comput. Graph., 2020.
  14. Gao, Zhipeng and Xia, Xin and Grundy, John and Lo, David and Li, Yuan-Fang.
    Generating Question Titles for Stack Overflow from Mined Code Snippets.
    ACM Trans. Softw. Eng. Methodol., 2020.
  15. Sadiq, Ayesha and Li, Yuan-Fang and Ling, Sea.
    A survey on the use of access permission-based specifications for program verification.
    J. Syst. Softw., 2020.
  16. Kang, Yong-Bin and Krishnaswamy, Shonali and Sawangphol, Wudhichart and Gao, Lianli and Li, Yuan-Fang.
    Understanding and improving ontology reasoning efficiency through learning and ranking.
    Inf. Syst., 2020.

2019

  1. Sadiq, Ayesha and Li, Li and Li, Yuan-Fang and Ahmed, Ijaz and Ling, Sea.
    Sip4J: Statically Inferring Access Permission Contracts for Parallelising Sequential Java Programs.
    34th IEEE/ACM International Conference on Automated Software Engineering, ASE 2019, San Diego, CA, USA, November 11-15, 2019, 2019.
  2. Kumar, Vishwajeet and Hua, Yuncheng and Ramakrishnan, Ganesh and Qi, Guilin and Gao, Lianli and Li, Yuan-Fang.
    Difficulty-Controllable Multi-hop Question Generation from Knowledge Graphs.
    The Semantic Web - ISWC 2019 - 18th International Semantic Web Conference, Auckland, New Zealand, October 26-30, 2019, Proceedings, Part I, 2019.
  3. He, Tao and Li, Yuan-Fang and Gao, Lianli and Zhang, Dongxiang and Song, Jingkuan.
    One Network for Multi-Domains: Domain Adaptive Hashing with Intersectant Generative Adversarial Networks.
    Proceedings of IJCAI 2019, 2019.
  4. Chen, Wei and Chen, Jincai and Zou, Fuhao and Li, Yuan-Fang and Lu, Ping and Zhao, Wei.
    RobustiQ: A Robust ANN Search Method for Billion-scale Similarity Search on GPUs.
    Proceedings of the 2019 on International Conference on Multimedia Retrieval, ICMR 2019, Ottawa, ON, Canada, June 10-13, 2019, 2019.
  5. Chen, Wei and Chen, Jincai and Zou, Fuhao and Li, Yuan-Fang and Lu, Ping and Wang, Qiang and Zhao, Wei.
    Vector and line quantization for billion-scale similarity search on GPUs.
    Future Gener. Comput. Syst., 2019.
  6. Gao, Lianli and Zeng, Pengpeng and Song, Jingkuan and Li, Yuan-Fang and Liu, Wu and Mei, Tao and Shen, Heng Tao.
    Structured Two-Stream Attention Network for Video Question Answering.
    The Thirty-Third AAAI Conference on Artificial Intelligence, AAAI 2019, 2019.
  7. Kumar, Vishwajeet and Ramakrishnan, Ganesh and Li, Yuan-Fang.
    Putting the Horse before the Cart: A Generator-Evaluator Framework for Question Generation from Text.
    Proceedings of the 23rd Conference on Computational Natural Language Learning, CoNLL 2019, Hong Kong, China, November 3-4, 2019, 2019.
  8. Kumar, Vishwajeet and Muneeswaran, Sivaanandh and Ramakrishnan, Ganesh and Li, Yuan-Fang.
    ParaQG: A System for Generating Questions and Answers from Paragraphs.
    Proceedings of EMNLP-IJCNLP 2019 - System Demonstrations, 2019.
  9. Oliveira, Carlos and Aleti, Aldeida and Li, Yuan-Fang and Abdelrazek, Mohamed.
    Footprints of fitness functions in search-based software testing.
    Proceedings of the Genetic and Evolutionary Computation Conference, GECCO 2019, Prague, Czech Republic, July 13-17, 2019, 2019.

2018

  1. Pan, Jeff Z. and Bobed, Carlos and Guclu, Isa and Bobillo, Fernando and Kollingbaum, Martin J. and Mena, Eduardo and Li, Yuan-Fang.
    Predicting Reasoner Performance on ABox Intensive OWL 2 EL Ontologies.
    Int. J. Semantic Web Inf. Syst., 2018.
  2. Kumar, Vishwajeet and Boorla, Kireeti and Meena, Yogesh Kumar and Ramakrishnan, Ganesh and Li, Yuan-Fang.
    Automating Reading Comprehension by Generating Question and Answer Pairs.
    Advances in Knowledge Discovery and Data Mining - 22nd Pacific-Asia Conference, PAKDD 2018, Melbourne, VIC, Australia, June 3-6, 2018, Proceedings, Part III, 2018.

2017

  1. Wang, Yiwei and Carman, Mark James and Li, Yuan-Fang.
    Using Knowledge Graphs to Explain Entity Co-occurrence in Twitter.
    Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, CIKM 2017, Singapore, November 06 - 10, 2017, 2017.
  2. Chmait, Nader and Dowe, David L. and Li, Yuan-Fang and Green, David G..
    An Information-Theoretic Predictive Model for the Accuracy of AI Agents Adapted from Psychometrics.
    Artificial General Intelligence - 10th International Conference, AGI 2017, Melbourne, VIC, Australia, August 15-18, 2017, Proceedings, 2017.
  3. Kerren, Andreas and Kucher, Kostiantyn and Li, Yuan-Fang and Schreiber, Falk.
    MDS-based Visual Survey of Biological Data Visualization Techniques.
    19th Eurographics Conference on Visualization, EuroVis 2017 - Posters, 2017.

2016

  1. Guclu, Isa and Li, Yuan-Fang and Pan, Jeff Z. and Kollingbaum, Martin J..
    Predicting Energy Consumption of Ontology Reasoning over Mobile Devices.
    The Semantic Web - ISWC 2016 - 15th International Semantic Web Conference, Kobe, Japan, October 17-21, 2016, Proceedings, Part I, 2016.
  2. Chmait, Nader and Dowe, David L. and Li, Yuan-Fang and Green, David G. and Insa-Cabrera, Javier.
    Factors of Collective Intelligence: How Smart Are Agent Collectives?.
    ECAI 2016 - 22nd European Conference on Artificial Intelligence, 2016.
  3. Sadiq, Ayesha and Li, Yuan-Fang and Ling, Sea and Ahmed, Ijaz.
    Extracting Permission-Based Specifications from a Sequential Java Program.
    21st International Conference on Engineering of Complex Computer Systems, ICECCS 2016, Dubai, United Arab Emirates, November 6-8, 2016, 2016.
  4. Guclu, Isa and Bobed, Carlos and Pan, Jeff Z. and Kollingbaum, Martin J. and Li, Yuan-Fang.
    How Can Reasoner Performance of ABox Intensive Ontologies Be Predicted?.
    Semantic Technology - 6th Joint International Conference, JIST 2016, Singapore, Singapore, November 2-4, 2016, Revised Selected Papers, 2016.
  5. Gavankar, Chetana and Li, Yuan-Fang and Ramakrishnan, Ganesh.
    Explicit Query Interpretation and Diversification for Context-Driven Concept Search Across Ontologies.
    The Semantic Web - ISWC 2016 - 15th International Semantic Web Conference, 2016.

2015

  1. Dong, Jin Song and Sun, Jun and Liu, Yang and Li, Yuan-Fang and Sun, Jing and Shi, Ling.
    Event and Strategy Analytics.
    2015 International Symposium on Theoretical Aspects of Software Engineering, TASE 2015, Nanjing, China, September 12-14, 2015, 2015.
  2. Lyu, Xuedong and Wang, Xin and Li, Yuan-Fang and Feng, Zhiyong and Wang, Junhu.
    GraSS: An Efficient Method for RDF Subgraph Matching.
    Web Information Systems Engineering - WISE 2015 - 16th International Conference, 2015.
  3. Lyu, Xuedong and Wang, Xin and Li, Yuan-Fang and Feng, Zhiyong.
    FFD-Index: An Efficient Indexing Scheme for Star Subgraph Matching on Large RDF Graphs.
    Database Systems for Advanced Applications - DASFAA 2015 International Workshops, SeCoP, BDMS, and Posters, Hanoi, Vietnam, April 20-23, 2015, Revised Selected Papers, 2015.
  4. Chmait, Nader and Dowe, David L. and Green, David G. and Li, Yuan-Fang.
    Observation, Communication and Intelligence in Agent-Based Systems.
    Artificial General Intelligence - 8th International Conference, AGI 2015, AGI 2015, Berlin, Germany, July 22-25, 2015, Proceedings, 2015.
  5. Kang, Yong-Bin and Li, Yuan-Fang and Coppel, Ross L..
    Capturing Researcher Expertise through MeSH Classification.
    Proceedings of the 8th International Conference on Knowledge Capture, K-CAP 2015, Palisades, NY, USA, October 7-10, 2015, 2015.
  6. Dong, Jin Song and Feng, Yuzhang and Li, Yuan-Fang and Tan, Colin Keng-Yan and Wadhwa, Bimlesh and Wang, Hai H..
    BOWL: augmenting the Semantic Web with beliefs.
    Innov. Syst. Softw. Eng., 2015.
  7. Li, Zhiyuan and Feng, Zhiyong and Wang, Xin and Li, Yuan-Fang and Rao, Guozheng.
    Analyzing the Evolution of Ontology Versioning Using Metrics.
    12th Web Information System and Application Conference, WISA 2015, Jinan, China, September 11-13, 2015, 2015.
  8. Gavankar, Chetana and Li, Yuan-Fang and Ramakrishnan, Ganesh.
    Context-driven Concept Search across Web Ontologies using Keyword Queries.
    Proceedings of the 8th International Conference on Knowledge Capture, K-CAP 2015, 2015.
  9. Kang, Yong-Bin and Krishnaswamy, Shonali and Li, Yuan-Fang.
    R2O2: An Efficient Ranking-Based Reasoner for OWL Ontologies.
    The Semantic Web - ISWC 2015 - 14th International Semantic Web Conference, 2015.

2014

  1. Kang, Yong-Bin and Pan, Jeff Z. and Krishnaswamy, Shonali and Sawangphol, Wudhichart and Li, Yuan-Fang.
    How Long Will It Take? Accurate Prediction of Ontology Reasoning Performance.
    Proceedings of AAAI 2014, 2014.
  2. Li, Yuan-Fang and Das, Paramjit K. and Dowe, David L..
    Two decades of Web application testing - A survey of recent advances.
    Inf. Syst., 2014.
  3. Li, Yuan-Fang and Pan, Jeff Z. and Krishnaswamy, Shonali and Hauswirth, Manfred and Nguyen, Hai H..
    The Ubiquitous Semantic Web: Promises, Progress and Challenges.
    Int. J. Semantic Web Inf. Syst., 2014.
  4. Wang, Hai H. and Li, Yuan-Fang and Sun, Jing and Zhang, Hongyu and Pan, Jeff Z..
    Towards a Consistent Feature Model using OWL.
    Semantic Web Enabled Software Engineering, 2014.
  5. Krishnaswamy, Shonali and Li, Yuan-Fang.
    The mobile semantic web.
    23rd International World Wide Web Conference, WWW ’14, Seoul, Republic of Korea, April 7-11, 2014, Companion Volume, 2014.
  6. Dong, Jin Song and Sun, Jun and Liu, Yang and Li, Yuan-Fang.
    Event Analytics.
    Theoretical Aspects of Computing - ICTAC 2014 - 11th International Colloquium, Bucharest, Romania, September 17-19, 2014. Proceedings, 2014.
  7. Kang, Yong-Bin and Krishnaswamy, Shonali and Li, Yuan-Fang.
    A Meta-reasoner to Rule Them All: Automated Selection of OWL Reasoners Based on Efficiency.
    Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management, CIKM 2014, Shanghai, China, November 3-7, 2014, 2014.

2013

  1. Li, Yuan-Fang and Kennedy, Gavin and Ngoran, Faith and Wu, Philip and Hunter, Jane.
    An ontology-centric architecture for extensible scientific data management systems.
    Future Gener. Comput. Syst., 2013.
  2. Jiao, Zong Lei and Liu, Qiang and Li, Yuan-Fang and Marriott, Kim and Wybrow, Michael.
    Visualization of Large Ontologies with Landmarks.
    GRAPP & IVAPP 2013: Proceedings of the International Conference on Computer Graphics Theory and Applications and International Conference on Information Visualization Theory and Applications, Barcelona, Spain, 21-24 February, 2013, 2013.
  3. Gavankar, Chetana and Kumar, Vishwajeet and Li, Yuan-Fang and Ramakrishnan, Ganesh.
    Enriching Concept Search across Semantic Web Ontologies.
    Proceedings of the ISWC 2013 Posters & Demonstrations Track, 2013.

2012

  1. Gong, Xiujun and Yu, Hua and Yang, Chun-Bai and Li, Yuan-Fang.
    Knowledge Enrichment Analysis for Human Tissue-Specific Genes Uncover New Biological Insights.
    J. Integr. Bioinform., 2012.
  2. Kang, Yong-Bin and Li, Yuan-Fang and Krishnaswamy, Shonali.
    Predicting Reasoning Performance Using Ontology Metrics.
    The Semantic Web - ISWC 2012 - 11th International Semantic Web Conference, Boston, MA, USA, November 11-15, 2012, Proceedings, Part I, 2012.
  3. Kang, Yong-Bin and Li, Yuan-Fang and Krishnaswamy, Shonali.
    A Rigorous Characterization of Classification Performance - A Tale of Four Reasoners.
    Proceedings of the 1st International Workshop on OWL Reasoner Evaluation (ORE-2012), Manchester, UK, July 1st, 2012, 2012.

2011

  1. Groza, Tudor and Zankl, Andreas and Li, Yuan-Fang and Hunter, Jane.
    Using Semantic Web Technologies to Build a Community-Driven Knowledge Curation Platform for the Skeletal Dysplasia Domain.
    The Semantic Web - ISWC 2011 - 10th International Semantic Web Conference, Bonn, Germany, October 23-27, 2011, Proceedings, Part II, 2011.
  2. Li, Yuan-Fang and Zhang, Hongyu.
    Integrating software engineering data using semantic web technologies.
    Proceedings of the 8th International Working Conference on Mining Software Repositories, MSR 2011 (Co-located with ICSE), Waikiki, Honolulu, HI, USA, May 21-28, 2011, Proceedings, 2011.

2010

  1. Zhang, Hongyu and Li, Yuan-Fang and Tan, Hee Beng Kuan.
    Measuring design complexity of semantic web ontologies.
    J. Syst. Softw., 2010.
  2. Feng, Yuzhang and Liu, Yang and Li, Yuan-Fang and Zhang, Daqing.
    Discovering Anomalies in Semantic Web Rules.
    Fourth International Conference on Secure Software Integration and Reliability Improvement, SSIRI 2010, Singapore, June 9-11, 2010, 2010.

  3. Proceedings of the 2010 Joint International Conference on Digital Libraries, JCDL 2010, Gold Coast, Queensland, Australia, June 21-25, 2010.
  4. Li, Yuan-Fang and Kennedy, Gavin and Davies, Faith and Hunter, Jane.
    PODD - Towards an Extensible, Domain-Agnostic Scientific Data Management System.
    Sixth International Conference on e-Science, e-Science 2010, 7-10 December 2010, Brisbane, QLD, Australia, 2010.
  5. Li, Yuan-Fang and Kennedy, Gavin and Davies, Faith and Hunter, Jane.
    PODD: An Ontology-Driven Data Repository for Collaborative Phenomics Research.
    The Role of Digital Libraries in a Time of Global Change, 12th International Conference on Asia-Pacific Digital Libraries, ICADL 2010, Gold Coast, Australia, June 21-25, 2010. Proceedings, 2010.

2009

  1. Li, Yuan-Fang and Sun, Jing and Dobbie, Gillian and Lee, Scott Uk-Jin and Wang, Hai H..
    Verifying Semistructured Data Normalization Using SWRL.
    TASE 2009, Third IEEE International Symposium on Theoretical Aspects of Software Engineering, 29-31 July 2009, Tianjin, China, 2009.

2008

  1. Newman, Andrew F. and Li, Yuan-Fang and Hunter, Jane.
    Scalable Semantics - The Silver Lining of Cloud Computing.
    Fourth International Conference on e-Science, e-Science 2008, 7-12 December 2008, Indianapolis, IN, USA, 2008.
  2. Lee, Scott Uk-Jin and Sun, Jing and Dobbie, Gillian and Groves, Lindsay and Li, Yuan-Fang.
    Correctness Criteria for Normalization of Semistructured Data.
    19th Australian Software Engineering Conference (ASWEC 2008), March 25-28, 2008, Perth, Australia, 2008.
  3. Ferndriger, Simon and Bernstein, Abraham and Dong, Jin Song and Feng, Yuzhang and Li, Yuan-Fang and Hunter, Jane.
    Enhancing Semantic Web Services with Inheritance.
    The Semantic Web - ISWC 2008, 7th International Semantic Web Conference, ISWC 2008, Karlsruhe, Germany, October 26-30, 2008. Proceedings, 2008.

2007

  1. Feng, Yuzhang and Li, Yuan-Fang and Tan, Colin Keng-Yan and Wadhwa, Bimlesh and Wang, Hai H..
    Belief-augmented OWL (BOWL) Engineering the SemanticWeb with Beliefs.
    12th International Conference on Engineering of Complex Computer Systems (ICECCS 2007), 10-14 July 2007, Auckland, New Zealand, 2007.
  2. Wang, Hai H. and Gibbins, Nick and Payne, Terry R. and Saleh, Ahmed and Li, Yuan-Fang.
    Transitioning Applications to Semantic Web Services: An Automated Formal Approach.
    Int. J. Interoperability Bus. Inf. Syst., 2007.
  3. Wang, Hai H. and Li, Yuan-Fang and Sun, Jing and Zhang, Hongyu and Pan, Jeff Z..
    Verifying feature models using OWL.
    J. Web Semant., 2007.
  4. Dobbie, Gillian and Sun, Jing and Li, Yuan-Fang and Lee, Scott Uk-Jin.
    Towards Verifying Semistructured Data.
    Conceptual Modelling 2007, Proceedings of the Fourth Asia-Pacific Conference on Conceptual Modelling (APCCM2007), Ballarat, Victoria, Australia, January 30 - February 2, 2007, Proceedings, 2007.

2006

  1. Li, Yuan-Fang and Sun, Jing and Dobbie, Gillian and Sun, Jun and Wang, Hai H..
    Validating Semistructured Data Using OWL.
    Advances in Web-Age Information Management, 7th International Conference,WAIM 2006, Hong Kong, China, June 17-19, 2006, Proceedings, 2006.
  2. Dobbie, Gillian and Sun, Jing and Li, Yuan-Fang and Lee, Scott Uk-Jin.
    Research into Verifying Semistructured Data.
    Distributed Computing and Internet Technology, Third International Conference, ICDCIT 2006, Bhubaneswar, India, December 20-23, 2006, Proceedings, 2006.
  3. Lucanu, Dorel and Li, Yuan-Fang and Dong, Jin Song.
    Semantic Web Languages - Towards an Institutional Perspective.
    Algebra, Meaning, and Computation, Essays Dedicated to Joseph A. Goguen on the Occasion of His 65th Birthday, 2006.
  4. Li, Yuan-Fang and Sun, Jing and Dobbie, Gillian and Wang, Hai H. and Sun, Jun.
    Reasoning About ORA-SS Data Models Using the Semantic Web.
    J. Data Semant., 2006.

2005

  1. Lucanu, Dorel and Li, Yuan-Fang and Dong, Jin Song.
    Soundness proof of Z semantics of OWL using institutions.
    Proceedings of the 14th international conference on World Wide Web, WWW 2005, Chiba, Japan, May 10-14, 2005 - Special interest tracks and posters, 2005.
  2. Dong, Jin Song and Feng, Yuzhang and Li, Yuan-Fang and Sun, Jun.
    A Tools Environment for Developing and Reasoning about Ontologies.
    12th Asia-Pacific Software Engineering Conference (APSEC 2005), 15-17 December 2005, Taipei, Taiwan, 2005.
  3. Lucanu, Dorel and Li, Yuan-Fang and Dong, Jin Song.
    Institution Morphisms for Relating OWL and Z.
    Proceedings of the 17th International Conference on Software Engineering and Knowledge Engineering (SEKE’2005), Taipei, Taiwan, Republic of China, July 14-16, 2005, 2005.
  4. Wang, Hai H. and Dong, Jin Song and Sun, Jing and Li, Yuan-Fang.
    TCOZ Approach to OWL-S Process Model Design.
    Proceedings of the 17th International Conference on Software Engineering and Knowledge Engineering (SEKE’2005), Taipei, Taiwan, Republic of China, July 14-16, 2005, 2005.
  5. Wang, Hai H. and Li, Yuan-Fang and Sun, Jing and Zhang, Hongyu.
    Verify Feature Models using protegeowl.
    Proceedings of the 14th international conference on World Wide Web, WWW 2005, Chiba, Japan, May 10-14, 2005 - Special interest tracks and posters, 2005.
  6. Lee, Scott Uk-Jin and Sun, Jing and Dobbie, Gillian and Li, Yuan-Fang.
    A Z Approach in Validating ORA-SS Data Models.
    Proceedings of the Third International Workshop on Software Verification and Validation, SVV@ICFEM 2005, Manchester, UK, October 31, 2005, 2005.
  7. Sun, Jun and Li, Yuan-Fang and Wang, Hai H. and Sun, Jing.
    Visualizing and Simulating Semantic Web Services Ontologies.
    Formal Methods and Software Engineering, 7th International Conference on Formal Engineering Methods, ICFEM 2005, Manchester, UK, November 1-4, 2005, Proceedings, 2005.
  8. Sun, Jing and Zhang, Hongyu and Li, Yuan-Fang and Wang, Hai H..
    Formal Semantics and Verification for Feature Modeling.
    10th International Conference on Engineering of Complex Computer Systems (ICECCS 2005), 16-20 June 2005, Shanghai, China, 2005.

2004

  1. Dong, Jin Song and Lee, Chew Hung and Li, Yuan-Fang and Wang, Hai H..
    Verifying DAML+OIL and Beyond in Z/EVES.
    26th International Conference on Software Engineering (ICSE 2004), 23-28 May 2004, Edinburgh, United Kingdom, 2004.
  2. Dong, Jin Song and Feng, Yuzhang and Li, Yuan-Fang.
    Verifying OWL and ORL Ontologies in PVS.
    Theoretical Aspects of Computing - ICTAC 2004, First International Colloquium, Guiyang, China, September 20-24, 2004, Revised Selected Papers, 2004.
  3. Dong, Jin Song and Li, Yuan-Fang and Wang, Hai H..
    TCOZ approach to semantic web services design.
    Proceedings of the 13th international conference on World Wide Web - Alternate Track Papers & Posters, WWW 2004, New York, NY, USA, May 17-20, 2004, 2004.
  4. Dong, Jin Song and Lee, Chew Hung and Lee, Hian Beng and Li, Yuan-Fang and Wang, Hai H..
    A combined approach to checking web ontologies.
    Proceedings of the 13th international conference on World Wide Web, WWW 2004, New York, NY, USA, May 17-20, 2004, 2004.

2002

  1. Dong, Jin Song and Li, Yuan-Fang and Sun, Jing and Sun, Jun and Wang, Hai H..
    XML-Based Static Type Checking and Dynamic Visualization for TCOZ.
    Formal Methods and Software Engineering, 4th International Conference on Formal Engineering Methods, ICFEM 2002 Shanghai, China, October 21-25, 2002, Proceedings, 2002.