Exploring the Generalization of Knowledge Graph Embedding. - Liang Zhang; Huan Gao; Xianda Zheng; Guilin Qi; Jiming Liu 005 (JIST, 2019)

Cosine-Based Embedding for Completing Schematic Knowledge. - Huan Gao; Xianda Zheng; Weizhuo Li; Guilin Qi; Meng Wang 009 (NLPCC (1), 2019)

Towards Balanced Defect Prediction with Better Information Propagation. - Xianda Zheng; Yuan-Fang Li; Huan Gao; Yuncheng Hua; Guilin Qi (AAAI, 2021)

Executable Knowledge Graphs for Machine Learning: A Bosch Case of Welding Monitoring. - Zhuoxun Zheng; Baifan Zhou; Dongzhuoran Zhou; Xianda Zheng; Gong Cheng 001; Ahmet Soylu; Evgeny Kharlamov (ISWC, 2022)

Towards Legal Judgment Summarization: A Structure-Enhanced Approach. - Qiqi Wang 005; Ruofan Wang; Kaiqi Zhao 001; Robert Amor; Benjamin Liu; Xianda Zheng; Zeyu Zhang 004; Zijian Huang 003 (ECAI, 2023)

Contrastive Learning for Signed Bipartite Graphs. - Zeyu Zhang 004; Jiamou Liu; Kaiqi Zhao 001; Song Yang 001; Xianda Zheng; Yifei Wang 003 (SIGIR, 2023)

RSGNN: A Model-agnostic Approach for Enhancing the Robustness of Signed Graph Neural Networks. - Zeyu Zhang 004; Jiamou Liu; Xianda Zheng; Yifei Wang 003; Pengqian Han; Yupan Wang; Kaiqi Zhao 001; Zijian Zhang 001 (WWW, 2023)

SGA: A Graph Augmentation Method for Signed Graph Neural Networks. - Zeyu Zhang 004; Shuyan Wan; Sijie Wang; Xianda Zheng; Xinrui Zhang; Kaiqi Zhao 001; Jiamou Liu; Dong Hao (CoRR, 2023)

CSG: Curriculum Representation Learning for Signed Graph. - Zeyu Zhang 004; Jiamou Liu; Kaiqi Zhao 001; Yifei Wang 003; Pengqian Han; Xianda Zheng; Qiqi Wang 005; Zijian Zhang 001 (CoRR, 2023)

Enhancing Student Performance Prediction on Learnersourced Questions with SGNN-LLM Synergy. - Lin Ni; Sijie Wang; Zeyu Zhang 004; Xiaoxuan Li 001; Xianda Zheng; Paul Denny 001; Jiamou Liu (AAAI, 2024)

SKGSum: Structured Knowledge-Guided Document Summarization. - Qiqi Wang 005; Ruofan Wang; Kaiqi Zhao 001; Robert Amor; Benjamin Liu; Jiamou Liu; Xianda Zheng; Zijian Huang 003 (ACL (Findings), 2024)

Multimodal prediction of student performance: A fusion of signed graph neural networks and large language models. - Sijie Wang; Lin Ni; Zeyu Zhang 004; Xiaoxuan Li 001; Xianda Zheng; Jiamou Liu (Pattern Recognit. Lett., 2024)

KCR: Resolving Long-Context Knowledge Conflicts via Reasoning in LLMs. - Xianda Zheng; Zijian Huang 003; Meng-Fen Chiang; Michael J. Witbrock; Kaiqi Zhao 001 (CoRR, 2025)