Representing RCPBAC (Role-Involved Conditional Purpose-Based Access Control) in Ontology and SWRL. - Ronghan Li; Zejun Jiang; Lifang Wang (BICS, 2018)

Directional attention weaving for text-grounded conversational question answering. - Ronghan Li; Zejun Jiang; Lifang Wang; Xinyu Lu; Meng Zhao 004 (Neurocomputing, 2020)

Asynchronous Multi-grained Graph Network For Interpretable Multi-hop Reading Comprehension. - Ronghan Li; Lifang Wang; Shengli Wang; Zejun Jiang (IJCAI, 2021)

Enhancing Transformer-based language models with commonsense representations for knowledge-driven machine comprehension. - Ronghan Li; Zejun Jiang; Lifang Wang; Xinyu Lu; Meng Zhao 004; Da-Qing Chen 001 (Knowl. Based Syst., 2021)

Incremental BERT with commonsense representations for multi-choice reading comprehension. - Ronghan Li; Lifang Wang; Zejun Jiang; Dong Liu; Meng Zhao 004; Xinyu Lu (Multim. Tools Appl., 2021)

An effective context-focused hierarchical mechanism for task-oriented dialogue response generation. - Meng Zhao 004; Zejun Jiang; Lifang Wang; Ronghan Li; Xinyu Lu; Zhongtian Hu; Daqing Chen 001 (Comput. Intell., 2022)

A multiturn complementary generative framework for conversational emotion recognition. - Lifang Wang; Ronghan Li; Yuxin Wu; Zejun Jiang (Int. J. Intell. Syst., 2022)

Mutually improved dense retriever and GNN-based reader for arbitrary-hop open-domain question answering. - Ronghan Li; Lifang Wang; Zejun Jiang; Zhongtian Hu; Meng Zhao 004; Xinyu Lu (Neural Comput. Appl., 2022)

Multi-task learning with graph attention networks for multi-domain task-oriented dialogue systems. - Meng Zhao 004; Lifang Wang; Zejun Jiang; Ronghan Li; Xinyu Lu; Zhongtian Hu (Knowl. Based Syst., 2023)

Mutually improved response generation and dialogue summarization for multi-domain task-oriented dialogue systems. - Meng Zhao 004; Lifang Wang; Hongru Ji; Zejun Jiang; Ronghan Li; Xinyu Lu; Zhongtian Hu (Knowl. Based Syst., 2023)

Divide and Conquer: Isolating Normal-Abnormal Attributes in Knowledge Graph-Enhanced Radiology Report Generation. - Xiao Liang; Yanlei Zhang; Di Wang 011; Haodi Zhong; Ronghan Li; Quan Wang 006 (ACM Multimedia, 2024)

Candidate-Heuristic In-Context Learning: A new framework for enhancing medical visual question answering with LLMs. - Xiao Liang; Di Wang 011; Haodi Zhong; Quan Wang 006; Ronghan Li; Rui Jia; Bo Wan (Inf. Process. Manag., 2024)

From easy to hard: Improving personalized response generation of task-oriented dialogue systems by leveraging capacity in open-domain dialogues. - Meng Zhao 004; Lifang Wang; Zejun Jiang; Yushuang Liu; Ronghan Li; Zhongtian Hu; Xinyu Lu (Knowl. Based Syst., 2024)

Transformer with convolution and graph-node co-embedding: An accurate and interpretable vision backbone for predicting gene expressions from local histopathological image. - Xiao Xiao; Yan Kong; Ronghan Li; Zuoheng Wang; Hui Lu 004 (Medical Image Anal., 2024)

Dynamically retrieving knowledge via query generation for informative dialogue generation. - Zhongtian Hu; Lifang Wang; Yangqi Chen; Yushuang Liu; Ronghan Li; Meng Zhao 004; Xinyu Lu; Zejun Jiang (Neurocomputing, 2024)

Dialogue summarization enhanced response generation for multi-domain task-oriented dialogue systems. - Lifang Wang; Meng Zhao 004; Hongru Ji; Zejun Jiang; Ronghan Li; Zhongtian Hu; Xinyu Lu (Inf. Process. Manag., 2024)

UniRQR: A Unified Model for Retrieval Decision, Query, and Response Generation in internet-based knowledge dialogue systems. - Zhongtian Hu; Yangqi Chen; Meng Zhao 004; Ronghan Li; Lifang Wang (Expert Syst. Appl., 2025)

RECoT: Relation-enhanced Chains-of-Thoughts for knowledge-intensive multi-hop questions answering. - Ronghan Li; Dongdong Li; Haowen Yang; Xiaoxi Liu; Haoxiang Jin; Rongcheng Pu; Qiguang Miao (Neurocomputing, 2025)

Fine-grained knowledge fusion for retrieval-augmented medical visual question answering. - Xiao Liang; Di Wang 011; Bin Jing; Zhicheng Jiao; Ronghan Li; Ruyi Liu; Qiguang Miao; Quan Wang 006 (Inf. Fusion, 2025)

Different paths to the same destination: Diversifying LLMs generation for multi-hop open-domain question answering. - Ronghan Li; Yu Wang 313; Zijian Wen; Mingze Cui; Qiguang Miao (Knowl. Based Syst., 2025)

Can xLLMs Understand the Structure of Dialog? Exploring Multilingual Response Generation in Complex Scenarios. - Zhongtian Hu; Yiwen Cui; Ronghan Li; Meng Zhao 004; Lifang Wang (CoRR, 2025)

Advancing Multi-Party Dialogue Systems with Speaker-ware Contrastive Learning. - Zhongtian Hu; Qi He; Ronghan Li; Meng Zhao 004; Lifang Wang (CoRR, 2025)

CheXPO: Preference Optimization for Chest X-ray VLMs with Counterfactual Rationale. - Xiao Liang; Jiawei Hu; Di Wang 011; Zhi Ma; Lin Zhao 003; Ronghan Li; Bo Wan; Quan Wang 006 (CoRR, 2025)

Uncertainty-Driven Expert Control: Enhancing the Reliability of Medical Vision-Language Models. - Xiao Liang; Di Wang 011; Zhicheng Jiao; Ronghan Li; Pengfei Yang 001; Quan Wang 006; Tat-Seng Chua (CoRR, 2025)