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ORCIDYuan-Fang Li
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- affiliation: Monash University, Clayton, VIC, Australia
- affiliation (former): University of Queensland, Brisbane, Australia
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2020 – today
- 2023
[j28]Tao He
, Lianli Gao, Jingkuan Song, Yuan-Fang Li:
Transferable and differentiable discrete network embedding for multi-domains with hierarchical knowledge distillation. Inf. Sci. 629: 520-532 (2023)- [j27]Junchen Zhu, Lianli Gao, Jingkuan Song, Yuan-Fang Li, Feng Zheng, Xuelong Li, Heng Tao Shen:
Label-Guided Generative Adversarial Network for Realistic Image Synthesis. IEEE Trans. Pattern Anal. Mach. Intell. 45(3): 3311-3328 (2023) - [j26]Tao He, Lianli Gao, Jingkuan Song, Yuan-Fang Li:
State-Aware Compositional Learning Toward Unbiased Training for Scene Graph Generation. IEEE Trans. Image Process. 32: 43-56 (2023) - [c93]Terry Yue Zhuo, Zhuang Li, Yujin Huang, Fatemeh Shiri, Weiqing Wang, Gholamreza Haffari, Yuan-Fang Li:
On Robustness of Prompt-based Semantic Parsing with Large Pre-trained Language Model: An Empirical Study on Codex. EACL 2023: 1090-1102 - [i48]Terry Yue Zhuo, Zhuang Li, Yujin Huang, Yuan-Fang Li, Weiqing Wang, Gholamreza Haffari, Fatemeh Shiri:
On Robustness of Prompt-based Semantic Parsing with Large Pre-trained Language Model: An Empirical Study on Codex. CoRR abs/2301.12868 (2023) - [i47]Songlin Zhai, Weiqing Wang, Yuan-Fang Li, Yuan Meng:
DNG: Taxonomy Expansion by Exploring the Intrinsic Directed Structure on Non-Gaussian Space. CoRR abs/2302.11165 (2023) - [i46]Linhao Luo, Yuan-Fang Li, Gholamreza Haffari, Shirui Pan:
Normalizing Flow-based Neural Process for Few-Shot Knowledge Graph Completion. CoRR abs/2304.08183 (2023) - [i45]Fatemeh Shiri, Teresa Wang, Shirui Pan, Xiaojun Chang, Yuan-Fang Li, Reza Haffari, Van Nguyen, Shuang Yu:
Toward the Automated Construction of Probabilistic Knowledge Graphs for the Maritime Domain. CoRR abs/2305.02471 (2023) - [i44]Fatemeh Shiri, Farhad Moghimifar, Van Nguyen, Reza Haffari, Yuan-Fang Li:
Few-shot Domain-Adaptive Visually-fused Event Detection from Text. CoRR abs/2305.03517 (2023) - [i43]Ming Jin, Guangsi Shi, Yuan-Fang Li, Qingsong Wen, Bo Xiong, Tian Zhou, Shirui Pan:
How Expressive are Spectral-Temporal Graph Neural Networks for Time Series Forecasting? CoRR abs/2305.06587 (2023) - 2022
- [j25]Kang Xu, Xiaoqiu Lu, Yuan-Fang Li, Tongtong Wu, Guilin Qi, Ning Ye, Dong Wang, Zheng Zhou:
Neural Topic Modeling with Deep Mutual Information Estimation. Big Data Res. 30: 100344 (2022) - [j24]Ziyin Xin, Yujun Cai, Louis T. Dang, Hannah M. S. Burke, Jerico Revote, Natalie Charitakis, Denis Bienroth, Hieu T. Nim, Yuan-Fang Li, Mirana Ramialison:
MonaGO: a novel gene ontology enrichment analysis visualisation system. BMC Bioinform. 23(1): 69 (2022) - [j23]Qiu Ji, Weizhuo Li, Shiqi Zhou, Guilin Qi, Yuan-Fang Li:
Benchmark construction and experimental evaluations for incoherent ontologies. Knowl. Based Syst. 239: 108090 (2022) - [j22]Pengkai Liu, Xin Wang, Qiang Fu, Yajun Yang, Yuan-Fang Li, Qingpeng Zhang:
KGVQL: A knowledge graph visual query language with bidirectional transformations. Knowl. Based Syst. 250: 108870 (2022) - [j21]Jincai Chen, Sheng Zhang, Jiangfeng Zeng, Fuhao Zou, Yuan-Fang Li, Tao Liu, Ping Lu:
Multi-level, multi-modal interactions for visual question answering over text in images. World Wide Web 25(4): 1607-1623 (2022) - [c92]Jiayi Chen, Xiaoyu Guo, Yuan-Fang Li, Gholamreza Haffari:
Teaching Neural Module Networks to Do Arithmetic. COLING 2022: 1502-1510 - [c91]Tao He, Lianli Gao, Jingkuan Song, Yuan-Fang Li:
Towards Open-Vocabulary Scene Graph Generation with Prompt-Based Finetuning. ECCV (28) 2022: 56-73 - [c90]Tongtong Wu, Guitao Wang, Jinming Zhao, Zhaoran Liu, Guilin Qi, Yuan-Fang Li, Gholamreza Haffari:
Towards relation extraction from speech. EMNLP 2022: 10751-10762 - [c89]Fatemeh Shiri, Terry Yue Zhuo, Zhuang Li, Shirui Pan, Weiqing Wang, Reza Haffari, Yuan-Fang Li, Van Nguyen:
Paraphrasing Techniques for Maritime QA system. FUSION 2022: 1-8 - [c88]Tongtong Wu, Massimo Caccia, Zhuang Li, Yuan-Fang Li, Guilin Qi, Gholamreza Haffari:
Pretrained Language Model in Continual Learning: A Comparative Study. ICLR 2022 - [c87]Ming Jin, Yuan-Fang Li, Shirui Pan:
Neural Temporal Walks: Motif-Aware Representation Learning on Continuous-Time Dynamic Graphs. NeurIPS 2022 - [i42]Ming Jin, Yu Zheng, Yuan-Fang Li, Siheng Chen, Bin Yang, Shirui Pan:
Multivariate Time Series Forecasting with Dynamic Graph Neural ODEs. CoRR abs/2202.08408 (2022) - [i41]Kang Xu, Xiaoqiu Lu, Yuan-Fang Li, Tongtong Wu, Guilin Qi, Ning Ye, Dong Wang, Zheng Zhou:
Neural Topic Modeling with Deep Mutual Information Estimation. CoRR abs/2203.06298 (2022) - [i40]Fatemeh Shiri, Terry Yue Zhuo, Zhuang Li, Van Nguyen, Shirui Pan, Weiqing Wang, Reza Haffari, Yuan-Fang Li:
Paraphrasing Techniques for Maritime QA system. CoRR abs/2203.10854 (2022) - [i39]Lianli Gao, Pengpeng Zeng, Jingkuan Song, Yuan-Fang Li, Wu Liu, Tao Mei, Heng Tao Shen:
Structured Two-stream Attention Network for Video Question Answering. CoRR abs/2206.01017 (2022) - [i38]Tao He, Lianli Gao, Jingkuan Song, Yuan-Fang Li:
Towards Open-vocabulary Scene Graph Generation with Prompt-based Finetuning. CoRR abs/2208.08165 (2022) - [i37]Jiayi Chen, Xiaoyu Guo, Yuan-Fang Li, Gholamreza Haffari:
Teaching Neural Module Networks to Do Arithmetic. CoRR abs/2210.02703 (2022) - [i36]Tongtong Wu, Guitao Wang, Jinming Zhao, Zhaoran Liu, Guilin Qi, Yuan-Fang Li, Gholamreza Haffari:
Towards Relation Extraction From Speech. CoRR abs/2210.08759 (2022) - [i35]Xiaoyu Guo, Yuan-Fang Li, Gholamreza Haffari:
Complex Reading Comprehension Through Question Decomposition. CoRR abs/2211.03277 (2022) - [i34]Wannita Takerngsaksiri, Chakkrit Tantithamthavorn, Yuan-Fang Li:
Syntax-Aware On-the-Fly Code Completion. CoRR abs/2211.04673 (2022) - 2021
- [j20]Sarkar Snigdha Sarathi Das, Mohammed Eunus Ali, Yuan-Fang Li, Yong-Bin Kang, Timos Sellis:
Boosting house price predictions using geo-spatial network embedding. Data Min. Knowl. Discov. 35(6): 2221-2250 (2021) - [j19]Sheng Zhang, Min Chen, Jincai Chen, Fuhao Zou, Yuan-Fang Li, Ping Lu:
Multimodal feature-wise co-attention method for visual question answering. Inf. Fusion 73: 1-10 (2021) - [j18]Sheng Zhang, Min Chen, Jincai Chen, Yuan-Fang Li, Yiling Wu, Minglei Li, Chuanbo Zhu:
Combining cross-modal knowledge transfer and semi-supervised learning for speech emotion recognition. Knowl. Based Syst. 229: 107340 (2021) - [j17]Lianli Gao, Tangming Chen, Xiangpeng Li, Pengpeng Zeng, Lei Zhao, Yuan-Fang Li:
Generalized pyramid co-attention with learnable aggregation net for video question answering. Pattern Recognit. 120: 108145 (2021) - [c86]Xianda Zheng, Yuan-Fang Li, Huan Gao, Yuncheng Hua, Guilin Qi:
Towards Balanced Defect Prediction with Better Information Propagation. AAAI 2021: 759-767 - [c85]Tongtong Wu, Xuekai Li, Yuan-Fang Li, Gholamreza Haffari, Guilin Qi, Yujin Zhu, Guoqiang Xu:
Curriculum-Meta Learning for Order-Robust Continual Relation Extraction. AAAI 2021: 10363-10369 - [c84]Shirong Shen, Tongtong Wu, Guilin Qi, Yuan-Fang Li, Gholamreza Haffari, Sheng Bi:
Adaptive Knowledge-Enhanced Bayesian Meta-Learning for Few-shot Event Detection. ACL/IJCNLP (Findings) 2021: 2417-2429 - [c83]Tahmid Hasan, Abhik Bhattacharjee, Md. Saiful Islam, Kazi Samin Mubasshir, Yuan-Fang Li, Yong-Bin Kang, M. Sohel Rahman, Rifat Shahriyar:
XL-Sum: Large-Scale Multilingual Abstractive Summarization for 44 Languages. ACL/IJCNLP (Findings) 2021: 4693-4703 - [c82]Ming Jin, Yixin Liu, Yu Zheng, Lianhua Chi, Yuan-Fang Li, Shirui Pan:
ANEMONE: Graph Anomaly Detection with Multi-Scale Contrastive Learning. CIKM 2021: 3122-3126 - [c81]Xiaoyu Guo, Yuan-Fang Li, Gholamreza Haffari:
Improving Numerical Reasoning Skills in the Modular Approach for Complex Question Answering on Text. EMNLP (Findings) 2021: 2713-2718 - [c80]Sheng Bi, Xiya Cheng, Yuan-Fang Li, Lizhen Qu, Shirong Shen, Guilin Qi, Lu Pan, Yinlin Jiang:
Simple or Complex? Complexity-controllable Question Generation with Soft Templates and Deep Mixture of Experts Model. EMNLP (Findings) 2021: 4645-4654 - [c79]Fatemeh Shiri, Teresa Wang, Shirui Pan, Xiaojun Chang, Yuan-Fang Li, Reza Haffari, Van Nguyen, Shuang Yu:
Toward the Automated Construction of Probabilistic Knowledge Graphs for the Maritime Domain. FUSION 2021: 1-8 - [c78]Tao He, Lianli Gao, Jingkuan Song, Yuan-Fang Li:
Exploiting Scene Graphs for Human-Object Interaction Detection. ICCV 2021: 15964-15973 - [c77]Himanshu Pahuja, Pari Delir Haghighi, Yuan-Fang Li, Prem Prakash Jayaraman:
Key factors influencing Retail Store Expansion Decisions: Case study of combining evidence- and data- driven approach. iiWAS 2021: 49-56 - [c76]Ming Jin, Yizhen Zheng, Yuan-Fang Li, Chen Gong, Chuan Zhou, Shirui Pan:
Multi-Scale Contrastive Siamese Networks for Self-Supervised Graph Representation Learning. IJCAI 2021: 1477-1483 - [c75]Zhipeng Gao, Xin Xia, David Lo, John C. Grundy, Yuan-Fang Li:
Code2Que: a tool for improving question titles from mined code snippets in stack overflow. ESEC/SIGSOFT FSE 2021: 1525-1529 - [c74]Sizhuo Li, Weixue Chen, Baozhu Liu, Pengkai Liu, Xin Wang, Yuan-Fang Li:
OntoSP: Ontology-Based Semantic-Aware Partitioning on RDF Graphs. WISE (1) 2021: 258-273 - [i33]Tongtong Wu, Xuekai Li, Yuan-Fang Li, Reza Haffari, Guilin Qi, Yujin Zhu, Guoqiang Xu:
Curriculum-Meta Learning for Order-Robust Continual Relation Extraction. CoRR abs/2101.01926 (2021) - [i32]Bhagya Hettige, Weiqing Wang, Yuan-Fang Li, Suong Le, Wray L. Buntine:
Temporal Cascade and Structural Modelling of EHRs for Granular Readmission Prediction. CoRR abs/2102.02586 (2021) - [i31]Ming Jin, Yizhen Zheng, Yuan-Fang Li, Chen Gong, Chuan Zhou, Shirui Pan:
Multi-Scale Contrastive Siamese Networks for Self-Supervised Graph Representation Learning. CoRR abs/2105.05682 (2021) - [i30]Shirong Shen, Tongtong Wu, Guilin Qi, Yuan-Fang Li, Gholamreza Haffari, Sheng Bi:
Adaptive Knowledge-Enhanced Bayesian Meta-Learning for Few-shot Event Detection. CoRR abs/2105.09509 (2021) - [i29]Tahmid Hasan, Abhik Bhattacharjee, Md Saiful Islam, Kazi Samin, Yuan-Fang Li, Yong-Bin Kang, M. Sohel Rahman, Rifat Shahriyar:
XL-Sum: Large-Scale Multilingual Abstractive Summarization for 44 Languages. CoRR abs/2106.13822 (2021) - [i28]Tao He, Lianli Gao, Jingkuan Song, Yuan-Fang Li:
Exploiting Scene Graphs for Human-Object Interaction Detection. CoRR abs/2108.08584 (2021) - [i27]Tao He, Lianli Gao, Jingkuan Song, Jianfei Cai, Yuan-Fang Li:
Semantic Compositional Learning for Low-shot Scene Graph Generation. CoRR abs/2108.08600 (2021) - [i26]Tao He, Lianli Gao, Jingkuan Song, Yuan-Fang Li:
Semi-supervised Network Embedding with Differentiable Deep Quantisation. CoRR abs/2108.09128 (2021) - [i25]Tao He, Lianli Gao, Jingkuan Song, Yuan-Fang Li:
Unsupervised Domain-adaptive Hash for Networks. CoRR abs/2108.09136 (2021) - [i24]Xiaoyu Guo, Yuan-Fang Li, Gholamreza Haffari:
Improving Numerical Reasoning Skills in the Modular Approach for Complex Question Answering on Text. CoRR abs/2109.02289 (2021) - [i23]Sheng Bi, Xiya Cheng, Yuan-Fang Li, Lizhen Qu, Shirong Shen, Guilin Qi, Lu Pan, Yinlin Jiang:
Simple or Complex? Complexity-Controllable Question Generation with Soft Templates and Deep Mixture of Experts Model. CoRR abs/2110.06560 (2021) - [i22]Yizhen Zheng, Ming Jin, Shirui Pan, Yuan-Fang Li, Hao Peng, Ming Li, Zhao Li:
Towards Graph Self-Supervised Learning with Contrastive Adjusted Zooming. CoRR abs/2111.10698 (2021) - [i21]Yong-Bin Kang, Abdur Rahim Mohammad Forkan, Prem Prakash Jayaraman, Natalie Wieland, Elizabeth Kollias, Hung Du, Steven Thomson, Yuan-Fang Li:
An AI-based Solution for Enhancing Delivery of Digital Learning for Future Teachers. CoRR abs/2112.01229 (2021) - [i20]Tahmid Hasan, Abhik Bhattacharjee, Wasi Uddin Ahmad, Yuan-Fang Li, Yong-Bin Kang, Rifat Shahriyar:
CrossSum: Beyond English-Centric Cross-Lingual Abstractive Text Summarization for 1500+ Language Pairs. CoRR abs/2112.08804 (2021) - 2020
- [j16]Yong-Bin Kang, Shonali Krishnaswamy, Wudhichart Sawangphol, Lianli Gao, Yuan-Fang Li:
Understanding and improving ontology reasoning efficiency through learning and ranking. Inf. Syst. 87 (2020) - [j15]Ayesha Sadiq, Yuan-Fang Li, Sea Ling:
A survey on the use of access permission-based specifications for program verification. J. Syst. Softw. 159 (2020) - [j14]Zhipeng Gao, Xin Xia, John Grundy, David Lo, Yuan-Fang Li:
Generating Question Titles for Stack Overflow from Mined Code Snippets. ACM Trans. Softw. Eng. Methodol. 29(4): 26:1-26:37 (2020) - [j13]Ying Yang, Michael Wybrow, Yuan-Fang Li, Tobias Czauderna, Yongqun He:
OntoPlot: A Novel Visualisation for Non-hierarchical Associations in Large Ontologies. IEEE Trans. Vis. Comput. Graph. 26(1): 1140-1150 (2020) - [j12]Yuncheng Hua, Yuan-Fang Li, Guilin Qi, Wei Wu, Jingyao Zhang, Daiqing Qi:
Less is more: Data-efficient complex question answering over knowledge bases. J. Web Semant. 65: 100612 (2020) - [c73]Bhagya Hettige, Yuan-Fang Li, Weiqing Wang, Wray L. Buntine:
Gaussian Embedding of Large-Scale Attributed Graphs. ADC 2020: 134-146 - [c72]Sheng Bi, Xiya Cheng, Yuan-Fang Li, Yongzhen Wang, Guilin Qi:
Knowledge-enriched, Type-constrained and Grammar-guided Question Generation over Knowledge Bases. COLING 2020: 2776-2786 - [c71]Xiaoyu Guo, Yuan-Fang Li, Gholamreza Haffari:
Understanding Unnatural Questions Improves Reasoning over Text. COLING 2020: 4949-4955 - [c70]Bhagya Hettige, Weiqing Wang, Yuan-Fang Li, Suong Le, Wray L. Buntine:
MedGraph: Structural and Temporal Representation Learning of Electronic Medical Records. ECAI 2020: 1810-1817 - [c69]Yuan-Fang Li, Yong-Bin Kang:
Towards Meta-Reasoning for Ontologies: A Roadmap. ECAI 2020: 2913-2914 - [c68]Yuncheng Hua, Yuan-Fang Li, Gholamreza Haffari, Guilin Qi, Tongtong Wu:
Few-Shot Complex Knowledge Base Question Answering via Meta Reinforcement Learning. EMNLP (1) 2020: 5827-5837 - [c67]Tao He, Lianli Gao, Jingkuan Song, Jianfei Cai, Yuan-Fang Li:
Learning from the Scene and Borrowing from the Rich: Tackling the Long Tail in Scene Graph Generation. IJCAI 2020: 587-593 - [c66]Yuncheng Hua, Yuan-Fang Li, Gholamreza Haffari, Guilin Qi, Wei Wu:
Retrieve, Program, Repeat: Complex Knowledge Base Question Answering via Alternate Meta-learning. IJCAI 2020: 3679-3686 - [c65]Vishwajeet Kumar, Manish Joshi, Ganesh Ramakrishnan, Yuan-Fang Li:
Vocabulary Matters: A Simple yet Effective Approach to Paragraph-level Question Generation. AACL/IJCNLP 2020: 781-785 - [c64]Li Li, Jun Gao, Pingfan Kong, Haoyu Wang, Mengyu Huang, Yuan-Fang Li, Tegawendé F. Bissyandé:
KnowledgeZooClient: constructing knowledge graph for Android. ASE Workshops 2020: 73-78 - [c63]Haichi Wang, Zan Wang, Jun Sun, Shuang Liu, Ayesha Sadiq, Yuan-Fang Li:
Towards Generating Thread-Safe Classes Automatically. ASE 2020: 943-955 - [c62]Bhagya Hettige, Weiqing Wang, Yuan-Fang Li, Wray L. Buntine:
Robust Attribute and Structure Preserving Graph Embedding. PAKDD (2) 2020: 593-606 - [c61]Qiang Fu, Xin Wang, Yuan-Fang Li:
A General-purpose Visual Query Language for Knowledge Graphs with Bidirectional Transformations. ISWC (Demos/Industry) 2020: 138-143 - [i19]Zhipeng Gao, Xin Xia, John C. Grundy, David Lo, Yuan-Fang Li:
Generating Question Titles for Stack Overflow from Mined Code Snippets. CoRR abs/2005.10157 (2020) - [i18]Tao He, Lianli Gao, Jingkuan Song, Jianfei Cai, Yuan-Fang Li:
Learning from the Scene and Borrowing from the Rich: Tackling the Long Tail in Scene Graph Generation. CoRR abs/2006.07585 (2020) - [i17]Zhipeng Gao, Xin Xia, David Lo, John C. Grundy, Yuan-Fang Li:
Code2Que: A Tool for Improving Question Titles from Mined Code Snippets in Stack Overflow. CoRR abs/2007.10851 (2020) - [i16]Sarkar Snigdha Sarathi Das, Mohammed Eunus Ali, Yuan-Fang Li, Yong-Bin Kang, Timos Sellis:
Boosting House Price Predictions using Geo-Spatial Network Embedding. CoRR abs/2009.00254 (2020) - [i15]Sheng Bi, Xiya Cheng, Yuan-Fang Li, Yongzhen Wang, Guilin Qi:
Knowledge-enriched, Type-constrained and Grammar-guided Question Generation over Knowledge Bases. CoRR abs/2010.03157 (2020) - [i14]Xiaoyu Guo, Yuan-Fang Li, Gholamreza Haffari:
Understanding Unnatural Questions Improves Reasoning over Text. CoRR abs/2010.09366 (2020) - [i13]Yuncheng Hua, Yuan-Fang Li, Gholamreza Haffari, Guilin Qi, Wei Wu:
Retrieve, Program, Repeat: Complex Knowledge Base Question Answering via Alternate Meta-learning. CoRR abs/2010.15875 (2020) - [i12]Yuncheng Hua, Yuan-Fang Li, Gholamreza Haffari, Guilin Qi, Tongtong Wu:
Few-Shot Complex Knowledge Base Question Answering via Meta Reinforcement Learning. CoRR abs/2010.15877 (2020) - [i11]Yuncheng Hua, Yuan-Fang Li, Guilin Qi, Wei Wu, Jingyao Zhang, Daiqing Qi:
Less is More: Data-Efficient Complex Question Answering over Knowledge Bases. CoRR abs/2010.15881 (2020)
2010 – 2019
- 2019
- [j11]Wei Chen, Jincai Chen, Fuhao Zou, Yuan-Fang Li, Ping Lu, Qiang Wang, Wei Zhao:
Vector and line quantization for billion-scale similarity search on GPUs. Future Gener. Comput. Syst. 99: 295-307 (2019) - [c60]Lianli Gao, Pengpeng Zeng, Jingkuan Song, Yuan-Fang Li, Wu Liu, Tao Mei, Heng Tao Shen:
Structured Two-Stream Attention Network for Video Question Answering. AAAI 2019: 6391-6398 - [c59]Vishwajeet Kumar, Ganesh Ramakrishnan, Yuan-Fang Li:
Putting the Horse before the Cart: A Generator-Evaluator Framework for Question Generation from Text. CoNLL 2019: 812-821 - [c58]Vishwajeet Kumar, Sivaanandh Muneeswaran, Ganesh Ramakrishnan, Yuan-Fang Li:
ParaQG: A System for Generating Questions and Answers from Paragraphs. EMNLP/IJCNLP (3) 2019: 175-180 - [c57]Carlos Oliveira, Aldeida Aleti, Yuan-Fang Li, Mohamed Abdelrazek:
Footprints of fitness functions in search-based software testing. GECCO 2019: 1399-1407 - [c56]Tao He, Yuan-Fang Li, Lianli Gao, Dongxiang Zhang, Jingkuan Song:
One Network for Multi-Domains: Domain Adaptive Hashing with Intersectant Generative Adversarial Networks. IJCAI 2019: 2477-2483 - [c55]Ayesha Sadiq, Li Li, Yuan-Fang Li, Ijaz Ahmed, Sea Ling:
Sip4J: Statically Inferring Access Permission Contracts for Parallelising Sequential Java Programs. ASE 2019: 1098-1101 - [c54]Wei Chen, Jincai Chen, Fuhao Zou, Yuan-Fang Li, Ping Lu, Wei Zhao:
RobustiQ: A Robust ANN Search Method for Billion-scale Similarity Search on GPUs. ICMR 2019: 132-140 - [c53]Vishwajeet Kumar, Yuncheng Hua, Ganesh Ramakrishnan, Guilin Qi, Lianli Gao, Yuan-Fang Li:
Difficulty-Controllable Multi-hop Question Generation from Knowledge Graphs. ISWC (1) 2019: 382-398 - [i10]Wei Chen, Jincai Chen, Fuhao Zou, Yuan-Fang Li, Ping Lu, Qiang Wang, Wei Zhao:
Vector and Line Quantization for Billion-scale Similarity Search on GPUs. CoRR abs/1901.00275 (2019) - [i9]Ayesha Sadiq, Yuan-Fang Li, Sea Ling, Li Li, Ijaz Ahmed:
Sip4J: Statically inferring permission-based specifications for sequential Java programs. CoRR abs/1902.05311 (2019) - [i8]Tao He, Yuan-Fang Li, Lianli Gao, Dongxiang Zhang, Jingkuan Song:
One Network for Multi-Domains: Domain Adaptive Hashing with Intersectant Generative Adversarial Network. CoRR abs/1907.00612 (2019) - [i7]Ying Yang, Michael Wybrow, Yuan-Fang Li, Tobias Czauderna, Yongqun He:
OntoPlot: A Novel Visualisation for Non-hierarchical Associations in Large Ontologies. CoRR abs/1908.00688 (2019) - [i6]Vishwajeet Kumar, Sivaanandh Muneeswaran, Ganesh Ramakrishnan, Yuan-Fang Li:
ParaQG: A System for Generating Questions and Answers from Paragraphs. CoRR abs/1909.01642 (2019) - [i5]Vishwajeet Kumar, Raktim Chaki, Sai Teja Talluri, Ganesh Ramakrishnan, Yuan-Fang Li, Gholamreza Haffari:
Question Generation from Paragraphs: A Tale of Two Hierarchical Models. CoRR abs/1911.03407 (2019) - [i4]Bhagya Hettige, Yuan-Fang Li, Weiqing Wang, Wray L. Buntine:
Gaussian Embedding of Large-scale Attributed Graphs. CoRR abs/1912.00536 (2019) - [i3]Bhagya Hettige, Yuan-Fang Li, Weiqing Wang, Suong Le, Wray L. Buntine:
MedGraph: Structural and Temporal Representation Learning of Electronic Medical Records. CoRR abs/1912.03703 (2019) - 2018
- [j10]Jeff Z. Pan, Carlos Bobed, Isa Guclu, Fernando Bobillo, Martin J. Kollingbaum, Eduardo Mena, Yuan-Fang Li:
Predicting Reasoner Performance on ABox Intensive OWL 2 EL Ontologies. Int. J. Semantic Web Inf. Syst. 14(1): 1-30 (2018) - [c52]Vishwajeet Kumar, Kireeti Boorla, Yogesh Meena, Ganesh Ramakrishnan, Yuan-Fang Li:
Automating Reading Comprehension by Generating Question and Answer Pairs. PAKDD (3) 2018: 335-348 - [i2]Vishwajeet Kumar, Kireeti Boorla, Yogesh Meena, Ganesh Ramakrishnan, Yuan-Fang Li:
Automating Reading Comprehension by Generating Question and Answer Pairs. CoRR abs/1803.03664 (2018) - [i1]Vishwajeet Kumar, Ganesh Ramakrishnan, Yuan-Fang Li:
A framework for automatic question generation from text using deep reinforcement learning. CoRR abs/1808.04961 (2018) - 2017
- [c51]Nader Chmait, David L. Dowe, Yuan-Fang Li, David G. Green:
An Information-Theoretic Predictive Model for the Accuracy of AI Agents Adapted from Psychometrics. AGI 2017: 225-236 - [c50]Yiwei Wang, Mark James Carman, Yuan-Fang Li:
Using Knowledge Graphs to Explain Entity Co-occurrence in Twitter. CIKM 2017: 2351-2354 - [c49]Andreas Kerren, Kostiantyn Kucher, Yuan-Fang Li, Falk Schreiber:
MDS-based Visual Survey of Biological Data Visualization Techniques. EuroVis (Posters) 2017: 85-87 - 2016
- [c48]Nader Chmait, David L. Dowe, Yuan-Fang Li, David G. Green, Javier Insa-Cabrera:
Factors of Collective Intelligence: How Smart Are Agent Collectives? ECAI 2016: 542-550 - [c47]Ayesha Sadiq, Yuan-Fang Li, Sea Ling, Ijaz Ahmed:
Extracting Permission-Based Specifications from a Sequential Java Program. ICECCS 2016: 215-218 - [c46]Isa Guclu, Carlos Bobed, Jeff Z. Pan, Martin J. Kollingbaum, Yuan-Fang Li:
How Can Reasoner Performance of ABox Intensive Ontologies Be Predicted? JIST 2016: 3-14 - [c45]Chetana Gavankar, Yuan-Fang Li, Ganesh Ramakrishnan:
Explicit Query Interpretation and Diversification for Context-Driven Concept Search Across Ontologies. ISWC (1) 2016: 271-288 - [c44]Isa Guclu, Yuan-Fang Li, Jeff Z. Pan, Martin J. Kollingbaum:
Predicting Energy Consumption of Ontology Reasoning over Mobile Devices. ISWC (1) 2016: 289-304 - [e2]Yuan-Fang Li, Wei Hu, Jin Song Dong, Grigoris Antoniou, Zhe Wang, Jun Sun, Yang Liu:
Semantic Technology - 6th Joint International Conference, JIST 2016, Singapore, Singapore, November 2-4, 2016, Revised Selected Papers. Lecture Notes in Computer Science 10055, Springer 2016, ISBN 978-3-319-50111-6 [contents] - 2015
- [j9]Jin Song Dong, Yuzhang Feng, Yuan-Fang Li, Colin Keng-Yan Tan, Bimlesh Wadhwa, Hai H. Wang:
BOWL: augmenting the Semantic Web with beliefs. Innov. Syst. Softw. Eng. 11(3): 203-215 (2015