|
I received my Ph.D. from the Institute of Information Engineering, Chinese Academy of Sciences and the University of Chinese Academy of Sciences, Beijing, China. I am advised by Prof. Tingwen Liu. Email / Google Scholar / GitHub / |
|
|
[2026-01] One Corresponding-author oral paper and One co-author paper accepted to WWW 2026 (CCF-A). [2025-11] One Corresponding-author oral paper accepted to AAAI 2026 (CCF-A, oral). [2025-07] One Corresponding-author paper accepted to NLPCC 2025 (CCF-C). [2025-05] One co-author paper accepted to ICML 2025 (CCF-A), thanks to all co-authors!. [2025-04] One first-author paper accepted to SIGIR 2025 (CCF-A), thanks to all co-authors! [2024-07] One first-author paper accepted to ACM MM 2024 (CCF-A), thanks to all co-authors! [2024-07] One first-author paper accepted to ECAI 2024 (CCF-B), thanks to all co-authors! |
|
Interested in the Multi-modal Entity Alignment, Knowledge Representation and Reasoning, Social Network Analysis. |
|
Jiawei Sheng, Taoyu Su*,Xixun Lin, Xiaodong Li, Tingwen Liu WWW (CCF-A, Oral, 317/3370=9.4%), 2026 paper / code DMKGC pioneers a generation-based MKGC approach using conditional diffusion to transfer knowledge across KGs without suppressing domain-specific information. |
|
Jiawei Sheng, Taoyu Su*, Weiyi Yang, Linghui Wang, Yongxiu Xu, Tingwen Liu AAAI (CCF-A, Oral, 529/23680=2.2%), 2026 paper / code IMKGC proposes an information-theoretic framework that learns minimal sufficient representations by suppressing redundant information for multi-domain knowledge graph completion. |
|
Yingkai Tang, Taoyu Su*, Wenyuan Zhang, Xiaoyang Guo, Tingwen Liu NLPCC (CCF-C), 2025 paper / arxiv / code LLM4MEM leverages Large Language Models to resolve semantic inconsistencies and efficiency bottlenecks in multi-table entity matching. |
|
Taoyu Su, Jiawei Sheng, Duohe Ma, Xiaodong Li, Juwei Yue, Mengxiao Song, Yingkai Tang, Tingwen Liu SIGIR (CCF-A, Oral), 2025 paper / arxiv / code CDMEA mitigates visual modality bias in multi-modal entity alignment from a causal perspective by suppressing the direct effect of visual features while leveraging both visual and graph modalities. |
|
Taoyu Su, Jiawei Sheng, Shicheng Wang, Xinghua Zhang, Hongbo Xu, Tingwen Liu ACM MM (CCF-A), 2024 paper / arxiv / code IBMEA emphasizes the alignment-relevant information and suppress the alignment-irrelevant information in generating entity representations. |
|
Taoyu Su , Xinghua Zhang, Jiawei Sheng, Zhenyu Zhang, Tingwen Liu ECAI (CCF-B), 2024 paper / arxiv / code LoginMEA fuses local multi-modal interactions to generate holistic entity semantics and then refine them with global relational interactions of entity neighbors. |
|
|