Jingcheng Wu

According to our database, Jingcheng Wu authored at least 21 papers between 2018 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Leveraging Graph Structure in Seq2Seq Models for Knowledge Graph Link Prediction.

Luu Huu Phuc, Ratan Bahadur Thapa, Mojtaba Nayyeri, Jingcheng Wu, Evgeny Kharlamov, Steffen Staab

CoRR, May, 2026

Scalable Uncertainty Reasoning in Knowledge Graphs.

Jingcheng Wu

CoRR, May, 2026

Towards Foundation Models for Relational Databases with Language Models and Graph Neural Networks.

Jingcheng Wu, Ratan Bahadur Thapa, Mojtaba Nayyeri, Lucas Etteldorf, Max Finkenbeiner, Fabian Leeske, Steffen Staab

CoRR, May, 2026

Seeing and Knowing in the Wild: Open-domain Visual Entity Recognition with Large-scale Knowledge Graphs via Contrastive Learning.

Hongkuan Zhou, Lavdim Halilaj, Sebastian Monka, Stefan Schmid, Yuqicheng Zhu, Jingcheng Wu, Nadeem Nazer, Steffen Staab

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

Analyzable Chain-of-Musical-Thought Prompting for High-Fidelity Music Generation.

Max W. Y. Lam, Yijin Xing, Weiya You, Jingcheng Wu, Zongyu Yin, Fuqiang Jiang, Hangyu Liu, Feng Liu, Xingda Li, Wei-Tsung Lu, Hanyu Chen, Tong Feng, Tianwei Zhao, Chien-Hung Liu, Xuchen Song, Yang Li, Yahui Zhou

CoRR, March, 2025

DyGMamba: Efficiently Modeling Long-Term Temporal Dependency on Continuous-Time Dynamic Graphs with State Space Models.

Zifeng Ding, Yifeng Li, Yuan He, Antonio Norelli, Jingcheng Wu, Volker Tresp, Michael M. Bronstein, Yunpu Ma

Trans. Mach. Learn. Res., 2025

TRAIT: A Comprehensive Database for T-cell Receptor-antigen Interactions.

Mengmeng Wei, Jingcheng Wu, Shengzuo Bai, Yuxuan Zhou, Yichang Chen, Xue Zhang, Wenyi Zhao, Ying Chi, Gang Pan, Feng Zhu, Shuqing Chen, Zhan Zhou

Genom. Proteom. Bioinform., 2025

Certainty in Uncertainty: Reasoning over Uncertain Knowledge Graphs with Statistical Guarantees.

Yuqicheng Zhu, Jingcheng Wu, Yizhen Wang, Hongkuan Zhou, Jiaoyan Chen, Evgeny Kharlamov, Steffen Staab

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

2024

CovEpiAb: a comprehensive database and analysis resource for immune epitopes and antibodies of human coronaviruses.

Xue Zhang, Jingcheng Wu, Yuanyuan Luo, Yilin Wang, Yujie Wu, Xiaobin Xu, Yufang Zhang, Ruiying Kong, Ying Chi, Yisheng Sun, Shuqing Chen, Qiaojun He, Feng Zhu, Zhan Zhou

Briefings Bioinform., May, 2024

ChatMusician: Understanding and Generating Music Intrinsically with LLM.

Ruibin Yuan, Hanfeng Lin, Yi Wang, Zeyue Tian, Shangda Wu, Tianhao Shen, Ge Zhang, Yuhang Wu, Cong Liu, Ziya Zhou, Ziyang Ma, Liumeng Xue, Ziyu Wang, Qin Liu, Tianyu Zheng, Yizhi Li, Yinghao Ma, Yiming Liang, Xiaowei Chi, Ruibo Liu, Zili Wang, Pengfei Li, Jingcheng Wu, Chenghua Lin, Qifeng Liu, Tao Jiang, Wenhao Huang, Wenhu Chen, Emmanouil Benetos, Jie Fu, Gus Xia, Roger B. Dannenberg, Wei Xue, Shiyin Kang, Yike Guo

CoRR, 2024

SongCreator: Lyrics-based Universal Song Generation.

Shun Lei, Yixuan Zhou, Boshi Tang, Max W. Y. Lam, Feng Liu, Hangyu Liu, Jingcheng Wu, Shiyin Kang, Zhiyong Wu, Helen Meng

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Tackling the Data Heterogeneity in Asynchronous Federated Learning with Cached Update Calibration.

Yujia Wang, Yuanpu Cao, Jingcheng Wu, Ruoyu Chen, Jinghui Chen

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Temporal Fact Reasoning over Hyper-Relational Knowledge Graphs.

Zifeng Ding, Jingcheng Wu, Jingpei Wu, Yan Xia, Bo Xiong, Volker Tresp

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

2023

DeepCIP: A multimodal deep learning method for the prediction of internal ribosome entry sites of circRNAs.

Yuxuan Zhou, Jingcheng Wu, Shihao Yao, Yulian Xu, Wenbin Zhao, Yunguang Tong, Zhan Zhou

Comput. Biol. Medicine, September, 2023

DeepTAP: An RNN-based method of TAP-binding peptide prediction in the selection of tumor neoantigens.

Xue Zhang, Jingcheng Wu, Joseph Baeza, Katie Gu, Yichun Zheng, Shuqing Chen, Zhan Zhou

Comput. Biol. Medicine, September, 2023

TSNAdb v2.0: The Updated Version of Tumor-specific Neoantigen Database.

Jingcheng Wu, Wenfan Chen, Yuxuan Zhou, Ying Chi, Xian-Sheng Hua, Jian Wu, Xun Gu, Shuqing Chen, Zhan Zhou

Genom. Proteom. Bioinform., April, 2023

Exploring Link Prediction over Hyper-Relational Temporal Knowledge Graphs Enhanced with Time-Invariant Relational Knowledge.

Zifeng Ding, Jingcheng Wu, Jingpei Wu, Yan Xia, Volker Tresp

CoRR, 2023

MAGI-NET: Masked Global Information Network for Symbolic Music Generation.

Dawei Wang, Pengfei Li, Jingcheng Wu

Proceedings of the 2023 IEEE International Conferences on Internet of Things (iThings) and IEEE Green Computing & Communications (GreenCom) and IEEE Cyber, 2023

2022

Robustar: Interactive Toolbox Supporting Precise Data Annotation for Robust Vision Learning.

Chonghan Chen, Haohan Wang, Leyang Hu, Yuhao Zhang, Shuguang Lyu, Jingcheng Wu, Xinnuo Li, Linjing Sun, Eric P. Xing

CoRR, 2022

2021

CanDriS: posterior profiling of cancer-driving sites based on two-component evolutionary model.

Wenyi Zhao, Jingwen Yang, Jingcheng Wu, Guoxing Cai, Yao Zhang, Jeffrey Haltom, Weijia Su, Michael J. Dong, Shuqing Chen, Jian Wu, Zhan Zhou, Xun Gu

Briefings Bioinform., 2021

2018

TSNAdb: A Database for Tumor-specific Neoantigens from Immunogenomics Data Analysis.

Jingcheng Wu, Wenyi Zhao, Binbin Zhou, Zhixi Su, Xun Gu, Zhan Zhou, Shuqing Chen

Genom. Proteom. Bioinform., 2018