Video Question Answering via Hierarchical Dual-Level Attention Network Learning. - Zhou Zhao 001; Jinghao Lin; Xinghua Jiang; Deng Cai 001; Xiaofei He 001; Yueting Zhuang (ACM Multimedia, 2017)

Addressing the Item Cold-Start Problem by Attribute-Driven Active Learning. - Yu Zhu 007; Jinghao Lin; Shibi He; Beidou Wang; Ziyu Guan; Haifeng Liu 001; Deng Cai 001 (IEEE Trans. Knowl. Data Eng., 2020)

Joint Pre-training and Local Re-training: Transferable Representation Learning on Multi-source Knowledge Graphs. - Zequn Sun; Jiacheng Huang 001; Jinghao Lin; Xiaozhou Xu; Qijin Chen; Wei Hu 007 (KDD, 2023)

SALMON: A Structure-Aware Language Model with logicality and densification strategy for Temporal Knowledge Graph Reasoning. - Fu Zhang 001; Jinghao Lin; Jingwei Cheng (EMNLP (Findings), 2024)

Joint framework for tensor decomposition-based temporal knowledge graph completion. - Fu Zhang 001; Hongzhi Chen; Yuzhe Shi; Jingwei Cheng; Jinghao Lin (Inf. Sci., 2024)

RRHF-V: Ranking Responses to Mitigate Hallucinations in Multimodal Large Language Models with Human Feedback. - Guoqing Chen; Fu Zhang 001; Jinghao Lin; Chenglong Lu; Jingwei Cheng (COLING, 2025)

LVMed-R2: Perception and Reflection-driven Complex Reasoning for Medical Report Generation. - Hao Wang 143; Shuchang Ye; Jinghao Lin; Usman Naseem; Jinman Kim (CoRR, 2025)

Enhancing LLM-based Recommendation through Semantic-Aligned Collaborative Knowledge. - Zihan Wang; Jinghao Lin; Xiaocui Yang; Yongkang Liu 002; Shi Feng 001; Daling Wang; Yifei Zhang 003 (CoRR, 2025)

GLM-4.1V-Thinking: Towards Versatile Multimodal Reasoning with Scalable Reinforcement Learning. - Wenyi Hong; Wenmeng Yu; Xiaotao Gu; Guo Wang; Guobing Gan; Haomiao Tang; Jiale Cheng; Ji Qi 003; Junhui Ji; Lihang Pan; Shuaiqi Duan; Weihan Wang; et al. (CoRR, 2025)