| 2026 | AAAI | TiCAL: Typicality-Based Consistency-Aware Learning for Multimodal Emotion Recognition. | Wen Yin, Siyu Zhan, Cencen Liu, Xin Hu, Guiduo Duan, Xiurui Xie, Yuan-Fang Li, Tao He |
| 2026 | ACL | MedDCR: Learning to Design Agentic Workflows for Medical Coding. | Jiyang Zheng, Islam Nassar, Thanh Vu, Xu Zhong, Yang Lin, Tongliang Liu, Long Duong, Yuan-Fang Li |
| 2026 | PacificVis | OntoGrid: Supporting Analysis of Complex Associations in Biomedical Ontologies. | Ying Yang, Michael Wybrow, Yuan-Fang Li, Tobias Czauderna, Yongqun He |
| 2025 | AAAI | HeGTa: Leveraging Heterogeneous Graph-enhanced Large Language Models for Few-shot Complex Table Understanding. | Rihui Jin, Yu Li, Guilin Qi, Nan Hu, Yuan-Fang Li, Jiaoyan Chen, Jianan Wang, Yongrui Chen, Dehai Min, Sheng Bi |
| 2025 | CVPR | Consistent and Controllable Image Animation with Motion Diffusion Models. | Xin Ma, Yaohui Wang, Gengyun Jia, Xinyuan Chen, Tien-Tsin Wong, Yuan-Fang Li, Cunjian Chen |
| 2025 | CVPR | Knowledge-Aligned Counterfactual-Enhancement Diffusion Perception for Unsupervised Cross-Domain Visual Emotion Recognition. | Wen Yin, Yong Wang, Guiduo Duan, Dongyang Zhang, Xin Hu, Yuan-Fang Li, Tao He |
| 2025 | EMNLP | MixLoRA-DSI: Dynamically Expandable Mixture-of-LoRA Experts for Rehearsal-Free Generative Retrieval over Dynamic Corpora. | Tuan-Luc Huynh, Thuy-Trang Vu, Weiqing Wang, Trung Le, Dragan Gasevic, Yuan-Fang Li, Thanh-Toan Do |
| 2025 | EMNLP | Taming the Real-world Complexities in CPT E/M Coding with Large Language Models. | Islam Nassar, Yang Lin, Yuan Jin, Rongxin Zhu, Chang Wei Tan, Zenan Zhai, Nitika Mathur, Thanh Tien Vu, Xu Zhong, Long Duong, Yuan-Fang Li |
| 2025 | ICCV | SPADE: Spatial-Aware Denoising Network for Open-Vocabulary Panoptic Scene Graph Generation with Long- and Local-Range Context Reasoning. | Xin Hu, Ke Qin, Guiduo Duan, Ming Li, Yuan-Fang Li, Tao He |
| 2025 | ICML | Graph-constrained Reasoning: Faithful Reasoning on Knowledge Graphs with Large Language Models. | Linhao Luo, Zicheng Zhao, Gholamreza Haffari, Yuan-Fang Li, Chen Gong, Shirui Pan |
| 2025 | ICRA | Hier-SLAM: Scaling-Up Semantics in SLAM with a Hierarchically Categorical Gaussian Splatting. | Boying Li, Zhixi Cai, Yuan-Fang Li, Ian Reid, Hamid Rezatofighi |
| 2025 | NAACL | Mastering the Craft of Data Synthesis for CodeLLMs. | Meng Chen, Philip Arthur, Qianyu Feng, Cong Duy Vu Hoang, Yu-Heng Hong, Mahdi Kazemi Moghaddam, Omid Nezami, Duc Thien Nguyen, Gioacchino Tangari, Duy Vu, Thanh Vu, Mark Johnson, Krishnaram Kenthapadi, Don Dharmasiri, Long Duong, Yuan-Fang Li |
| 2025 | NAACL | Distill-C: Enhanced NL2SQL via Distilled Customization with LLMs. | Cong Duy Vu Hoang, Gioacchino Tangari, Clmence Lanfranchi, Dalu Guo, Paul Cayet, Steve Siu, Don Dharmasiri, Yuan-Fang Li, Long Duong, Damien Hilloulin, Rhicheek Patra, Sungpack Hong, Hassan Chafi |
| 2025 | PAKDD | ChatRule: Mining Logical Rules with Large Language Models for Knowledge Graph Reasoning. | Linhao Luo, Jiaxin Ju, Bo Xiong, Yuan-Fang Li, Gholamreza Haffari, Shirui Pan |
| 2024 | ACL | Direct Evaluation of Chain-of-Thought in Multi-hop Reasoning with Knowledge Graphs. | Thi Nguyen, Linhao Luo, Fatemeh Shiri, Dinh Phung, Yuan-Fang Li, Thuy-Trang Vu, Gholamreza Haffari |
| 2024 | EMNLP | Mitigating Language Bias of LMMs in Social Intelligence Understanding with Virtual Counterfactual Calibration. | Peng Chen, Xiao-Yu Guo, Yuan-Fang Li, Xiaowang Zhang, Zhiyong Feng |
| 2024 | EMNLP | Rewarding What Matters: Step-by-Step Reinforcement Learning for Task-Oriented Dialogue. | Huifang Du, Shuqin Li, Minghao Wu, Xuejing Feng, Yuan-Fang Li, Haofen Wang |
| 2024 | EMNLP | An Empirical Analysis on Spatial Reasoning Capabilities of Large Multimodal Models. | Fatemeh Shiri, Xiao-Yu Guo, Mona Far, Xin Yu, Reza Haf, Yuan-Fang Li |
| 2024 | FUSION | Decompose, Enrich, and Extract! Schema-aware Event Extraction using LLMs. | Fatemeh Shiri, Farhad Moghimifar, Reza Haffari, Yuan-Fang Li, Van Nguyen, John Yoo |
| 2024 | ICLR | Time-LLM: Time Series Forecasting by Reprogramming Large Language Models. | Ming Jin, Shiyu Wang, Lintao Ma, Zhixuan Chu, James Y. Zhang, Xiaoming Shi, Pin-Yu Chen, Yuxuan Liang, Yuan-Fang Li, Shirui Pan, Qingsong Wen |
| 2024 | ICLR | Reasoning on Graphs: Faithful and Interpretable Large Language Model Reasoning. | Linhao Luo, Yuan-Fang Li, Gholamreza Haffari, Shirui Pan |
| 2024 | IJCAI | Towards Proactive Interactions for In-Vehicle Conversational Assistants Utilizing Large Language Models. | Huifang Du, Xuejing Feng, Jun Ma, Meng Wang, Shiyu Tao, Yijie Zhong, Yuan-Fang Li, Haofen Wang |
| 2024 | INLG | Generating Faithful and Salient Text from Multimodal Data. | Tahsina Hashem, Weiqing Wang, Derry Tanti Wijaya, Mohammed Eunus Ali, Yuan-Fang Li |
| 2024 | MICCAI | DCDiff: Dual-Domain Conditional Diffusion for CT Metal Artifact Reduction. | Ruochong Shen, Xiaoxu Li, Yuan-Fang Li, Chao Sui, Yu Peng, Qiuhong Ke |
| 2023 | AAAI | DNG: Taxonomy Expansion by Exploring the Intrinsic Directed Structure on Non-gaussian Space. | Songlin Zhai, Weiqing Wang, Yuan-Fang Li, Yuan Meng |
| 2023 | ACL | CrossSum: Beyond English-Centric Cross-Lingual Summarization for 1, 500+ Language Pairs. | Abhik Bhattacharjee, Tahmid Hasan, Wasi Uddin Ahmad, Yuan-Fang Li, Yong-Bin Kang, Rifat Shahriyar |
| 2023 | ACL | NormMark: A Weakly Supervised Markov Model for Socio-cultural Norm Discovery. | Farhad Moghimifar, Shilin Qu, Tongtong Wu, Yuan-Fang Li, Gholamreza Haffari |
| 2023 | EACL | On Robustness of Prompt-based Semantic Parsing with Large Pre-trained Language Model: An Empirical Study on Codex. | Terry Yue Zhuo, Zhuang Li, Yujin Huang, Fatemeh Shiri, Weiqing Wang, Gholamreza Haffari, Yuan-Fang Li |
| 2023 | EMNLP | DeSIQ: Towards an Unbiased, Challenging Benchmark for Social Intelligence Understanding. | Xiaoyu Guo, Yuan-Fang Li, Gholamreza Haffari |
| 2023 | FUSION | Few-shot Domain-Adaptative Visually-fused Event Detection from Text. | Farhad Moghimifar, Fatemeh Shiri, Reza Haffari, Yuan-Fang Li, Van Nguyen |
| 2023 | IJCNLP | Theia: Weakly Supervised Multimodal Event Extraction from Incomplete Data. | Farhad Moghimifar, Fatemeh Shiri, Van Nguyen, Yuan-Fang Li, Gholamreza Haffari |
| 2023 | IJCNLP | Improving Machine Reading Comprehension through A Simple Masked-Training Scheme. | Xun Yao, Junlong Ma, Xinrong Hu, Jie Yang, Yuan-Fang Li |
| 2023 | INLG | Generating Faithful Text From a Knowledge Graph with Noisy Reference Text. | Tahsina Hashem, Weiqing Wang, Derry Tanti Wijaya, Mohammed Eunus Ali, Yuan-Fang Li |
| 2023 | SIGIR | Normalizing Flow-based Neural Process for Few-Shot Knowledge Graph Completion. | Linhao Luo, Yuan-Fang Li, Gholamreza Haffari, Shirui Pan |
| 2022 | COLING | Teaching Neural Module Networks to Do Arithmetic. | Jiayi Chen, Xiaoyu Guo, Yuan-Fang Li, Gholamreza Haffari |
| 2022 | ECCV | Towards Open-Vocabulary Scene Graph Generation with Prompt-Based Finetuning. | Tao He, Lianli Gao, Jingkuan Song, Yuan-Fang Li |
| 2022 | EMNLP | Towards relation extraction from speech. | Tongtong Wu, Guitao Wang, Jinming Zhao, Zhaoran Liu, Guilin Qi, Yuan-Fang Li, Gholamreza Haffari |
| 2022 | FUSION | Paraphrasing Techniques for Maritime QA system. | Fatemeh Shiri, Terry Yue Zhuo, Zhuang Li, Shirui Pan, Weiqing Wang, Reza Haffari, Yuan-Fang Li, Van Nguyen |
| 2022 | ICLR | Pretrained Language Model in Continual Learning: A Comparative Study. | Tongtong Wu, Massimo Caccia, Zhuang Li, Yuan-Fang Li, Guilin Qi, Gholamreza Haffari |
| 2021 | AAAI | Curriculum-Meta Learning for Order-Robust Continual Relation Extraction. | Tongtong Wu, Xuekai Li, Yuan-Fang Li, Gholamreza Haffari, Guilin Qi, Yujin Zhu, Guoqiang Xu |
| 2021 | AAAI | Towards Balanced Defect Prediction with Better Information Propagation. | Xianda Zheng, Yuan-Fang Li, Huan Gao, Yuncheng Hua, Guilin Qi |
| 2021 | ACL | XL-Sum: Large-Scale Multilingual Abstractive Summarization for 44 Languages. | Tahmid Hasan, Abhik Bhattacharjee, Md. Saiful Islam, Kazi Samin Mubasshir, Yuan-Fang Li, Yong-Bin Kang, M. Sohel Rahman, Rifat Shahriyar |
| 2021 | ACL | Adaptive Knowledge-Enhanced Bayesian Meta-Learning for Few-shot Event Detection. | Shirong Shen, Tongtong Wu, Guilin Qi, Yuan-Fang Li, Gholamreza Haffari, Sheng Bi |
| 2021 | CIKM | ANEMONE: Graph Anomaly Detection with Multi-Scale Contrastive Learning. | Ming Jin, Yixin Liu, Yu Zheng, Lianhua Chi, Yuan-Fang Li, Shirui Pan |
| 2021 | EMNLP | Simple or Complex? Complexity-controllable Question Generation with Soft Templates and Deep Mixture of Experts Model. | Sheng Bi, Xiya Cheng, Yuan-Fang Li, Lizhen Qu, Shirong Shen, Guilin Qi, Lu Pan, Yinlin Jiang |
| 2021 | EMNLP | Improving Numerical Reasoning Skills in the Modular Approach for Complex Question Answering on Text. | Xiaoyu Guo, Yuan-Fang Li, Gholamreza Haffari |
| 2021 | FUSION | Toward the Automated Construction of Probabilistic Knowledge Graphs for the Maritime Domain. | Fatemeh Shiri, Teresa Wang, Shirui Pan, Xiaojun Chang, Yuan-Fang Li, Reza Haffari, Van Nguyen, Shuang Yu |
| 2021 | ICCV | Exploiting Scene Graphs for Human-Object Interaction Detection. | Tao He, Lianli Gao, Jingkuan Song, Yuan-Fang Li |
| 2021 | IIWAS | Key factors influencing Retail Store Expansion Decisions: Case study of combining evidence- and data- driven approach. | Himanshu Pahuja, Pari Delir Haghighi, Yuan-Fang Li, Prem Prakash Jayaraman |
| 2021 | IJCAI | Multi-Scale Contrastive Siamese Networks for Self-Supervised Graph Representation Learning. | Ming Jin, Yizhen Zheng, Yuan-Fang Li, Chen Gong, Chuan Zhou, Shirui Pan |
| 2021 | WISE | OntoSP: Ontology-Based Semantic-Aware Partitioning on RDF Graphs. | Sizhuo Li, Weixue Chen, Baozhu Liu, Pengkai Liu, Xin Wang, Yuan-Fang Li |
| 2020 | ADC | Gaussian Embedding of Large-Scale Attributed Graphs. | Bhagya Hettige, Yuan-Fang Li, Weiqing Wang, Wray L. Buntine |
| 2020 | COLING | Knowledge-enriched, Type-constrained and Grammar-guided Question Generation over Knowledge Bases. | Sheng Bi, Xiya Cheng, Yuan-Fang Li, Yongzhen Wang, Guilin Qi |
| 2020 | COLING | Understanding Unnatural Questions Improves Reasoning over Text. | Xiaoyu Guo, Yuan-Fang Li, Gholamreza Haffari |
| 2020 | ECAI | MedGraph: Structural and Temporal Representation Learning of Electronic Medical Records. | Bhagya Hettige, Weiqing Wang, Yuan-Fang Li, Suong Le, Wray L. Buntine |
| 2020 | ECAI | Towards Meta-Reasoning for Ontologies: A Roadmap. | Yuan-Fang Li, Yong-Bin Kang |
| 2020 | EMNLP | Few-Shot Complex Knowledge Base Question Answering via Meta Reinforcement Learning. | Yuncheng Hua, Yuan-Fang Li, Gholamreza Haffari, Guilin Qi, Tongtong Wu |
| 2020 | IJCAI | Learning from the Scene and Borrowing from the Rich: Tackling the Long Tail in Scene Graph Generation. | Tao He, Lianli Gao, Jingkuan Song, Jianfei Cai, Yuan-Fang Li |
| 2020 | IJCAI | Retrieve, Program, Repeat: Complex Knowledge Base Question Answering via Alternate Meta-learning. | Yuncheng Hua, Yuan-Fang Li, Gholamreza Haffari, Guilin Qi, Wei Wu |
| 2020 | IJCNLP | Vocabulary Matters: A Simple yet Effective Approach to Paragraph-level Question Generation. | Vishwajeet Kumar, Manish Joshi, Ganesh Ramakrishnan, Yuan-Fang Li |
| 2020 | PAKDD | Robust Attribute and Structure Preserving Graph Embedding. | Bhagya Hettige, Weiqing Wang, Yuan-Fang Li, Wray L. Buntine |
| 2019 | AAAI | Structured Two-Stream Attention Network for Video Question Answering. | Lianli Gao, Pengpeng Zeng, Jingkuan Song, Yuan-Fang Li, Wu Liu, Tao Mei, Heng Tao Shen |
| 2019 | CoNLL | Putting the Horse before the Cart: A Generator-Evaluator Framework for Question Generation from Text. | Vishwajeet Kumar, Ganesh Ramakrishnan, Yuan-Fang Li |
| 2019 | EMNLP | ParaQG: A System for Generating Questions and Answers from Paragraphs. | Vishwajeet Kumar, Sivaanandh Muneeswaran, Ganesh Ramakrishnan, Yuan-Fang Li |
| 2019 | GECCO | Footprints of fitness functions in search-based software testing. | Carlos Oliveira, Aldeida Aleti, Yuan-Fang Li, Mohamed Abdelrazek |
| 2019 | IJCAI | One Network for Multi-Domains: Domain Adaptive Hashing with Intersectant Generative Adversarial Networks. | Tao He, Yuan-Fang Li, Lianli Gao, Dongxiang Zhang, Jingkuan Song |
| 2018 | PAKDD | Automating Reading Comprehension by Generating Question and Answer Pairs. | Vishwajeet Kumar, Kireeti Boorla, Yogesh Kumar Meena, Ganesh Ramakrishnan, Yuan-Fang Li |
| 2017 | CIKM | Using Knowledge Graphs to Explain Entity Co-occurrence in Twitter. | Yiwei Wang, Mark James Carman, Yuan-Fang Li |
| 2016 | ECAI | Factors of Collective Intelligence: How Smart Are Agent Collectives? | Nader Chmait, David L. Dowe, Yuan-Fang Li, David G. Green, Javier Insa-Cabrera |
| 2016 | ICECCS | Extracting Permission-Based Specifications from a Sequential Java Program. | Ayesha Sadiq, Yuan-Fang Li, Sea Ling, Ijaz Ahmed |
| 2015 | DASFAA | FFD-Index: An Efficient Indexing Scheme for Star Subgraph Matching on Large RDF Graphs. | Xuedong Lyu, Xin Wang, Yuan-Fang Li, Zhiyong Feng |
| 2015 | WISE | GraSS: An Efficient Method for RDF Subgraph Matching. | Xuedong Lyu, Xin Wang, Yuan-Fang Li, Zhiyong Feng, Junhu Wang |
| 2015 | TASE | Event and Strategy Analytics. | Jin Song Dong, Jun Sun, Yang Liu, Yuan-Fang Li, Jing Sun, Ling Shi |
| 2014 | AAAI | How Long Will It Take? Accurate Prediction of Ontology Reasoning Performance. | Yong-Bin Kang, Jeff Z. Pan, Shonali Krishnaswamy, Wudhichart Sawangphol, Yuan-Fang Li |
| 2014 | CIKM | A Meta-reasoner to Rule Them All: Automated Selection of OWL Reasoners Based on Efficiency. | Yong-Bin Kang, Shonali Krishnaswamy, Yuan-Fang Li |
| 2014 | ICTAC | Event Analytics. | Jin Song Dong, Jun Sun, Yang Liu, Yuan-Fang Li |
| 2014 | WWW | The mobile semantic web. | Shonali Krishnaswamy, Yuan-Fang Li |
| 2011 | MSR | Integrating software engineering data using semantic web technologies. | Yuan-Fang Li, Hongyu Zhang |
| 2009 | TASE | Verifying Semistructured Data Normalization Using SWRL. | Yuan-Fang Li, Jing Sun, Gillian Dobbie, Scott Uk-Jin Lee, Hai H. Wang |
| 2007 | APCCM | Towards Verifying Semistructured Data. | Gillian Dobbie, Jing Sun, Yuan-Fang Li, Scott Uk-Jin Lee |
| 2007 | ICECCS | Belief-augmented OWL (BOWL) Engineering the SemanticWeb with Beliefs. | Yuzhang Feng, Yuan-Fang Li, Colin Keng-Yan Tan, Bimlesh Wadhwa, Hai H. Wang |
| 2006 | ICDCIT | Research into Verifying Semistructured Data. | Gillian Dobbie, Jing Sun, Yuan-Fang Li, Scott Uk-Jin Lee |
| 2005 | APSEC | A Tools Environment for Developing and Reasoning about Ontologies. | Jin Song Dong, Yuzhang Feng, Yuan-Fang Li, Jun Sun |
| 2005 | ICECCS | Formal Semantics and Verification for Feature Modeling. | Jing Sun, Hongyu Zhang, Yuan-Fang Li, Hai H. Wang |
| 2005 | ICFEM | Visualizing and Simulating Semantic Web Services Ontologies. | Jun Sun, Yuan-Fang Li, Hai H. Wang, Jing Sun |
| 2005 | WWW | Soundness proof of Z semantics of OWL using institutions. | Dorel Lucanu, Yuan-Fang Li, Jin Song Dong |
| 2005 | WWW | Verify Feature Models using protegeowl. | Hai H. Wang, Yuan-Fang Li, Jing Sun, Hongyu Zhang |
| 2005 | SEKE | Institution Morphisms for Relating OWL and Z. | Dorel Lucanu, Yuan-Fang Li, Jin Song Dong |
| 2005 | SEKE | TCOZ Approach to OWL-S Process Model Design. | Hai H. Wang, Jin Song Dong, Jing Sun, Yuan-Fang Li |
| 2004 | ICSE | Verifying DAML+OIL and Beyond in Z/EVES. | Jin Song Dong, Chew Hung Lee, Yuan-Fang Li, Hai H. Wang |
| 2004 | ICTAC | Verifying OWL and ORL Ontologies in PVS. | Jin Song Dong, Yuzhang Feng, Yuan-Fang Li |
| 2004 | WWW | A combined approach to checking web ontologies. | Jin Song Dong, Chew Hung Lee, Hian Beng Lee, Yuan-Fang Li, Hai H. Wang |
| 2004 | WWW | TCOZ approach to semantic web services design. | Jin Song Dong, Yuan-Fang Li, Hai H. Wang |
| 2002 | ICFEM | XML-Based Static Type Checking and Dynamic Visualization for TCOZ. | Jin Song Dong, Yuan-Fang Li, Jing Sun, Jun Sun, Hai H. Wang |