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Tingwen Liu
Tingwen Liu
Full Professor of Institute of Information Engineering, Chinese Academy of Sciences
Verified email at iie.ac.cn - Homepage
Title
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Cited by
Year
TPLinker: Single-stage Joint Extraction of Entities and Relations Through Token Pair Linking
Y Wang, B Yu, Y Zhang, T Liu, H Zhu, L Sun
Proceedings of the 28th International Conference on Computational …, 2020
3112020
Joint Extraction of Entities and Relations based on a Novel Decomposition Strategy
B Yu, Z Zhang, X Shu, Y Wang, T Liu, B Wang, S Li
24th European Conference on Artificial Intelligence - ECAI 2020, 2282 - 2289, 2020
1972020
Edge-Enhanced Graph Convolution Networks for Event Detection with Syntactic Relation
S Cui, B Yu, T Liu, Z Zhang, X Wang, J Shi
Proceedings of the 2020 Conference on Empirical Methods in Natural Language …, 2020
1302020
Adaptive attentional network for few-shot knowledge graph completion
J Sheng, S Guo, Z Chen, J Yue, L Wang, T Liu, H Xu
arXiv preprint arXiv:2010.09638, 2020
1082020
Bipartite Graph Embedding via Mutual Information Maximization
J Cao, X Lin, S Guo, L Liu, T Liu, B Wang
Proceedings of the 14th ACM International Conference on Web Search and Data …, 2021
992021
Porous Lattice Transformer Encoder for Chinese NER
X Mengge, B Yu, T Liu, Y Zhang, E Meng, B Wang
Proceedings of the 28th International Conference on Computational …, 2020
76*2020
Cross-Domain Recommendation to Cold-Start Users via Variational Information Bottleneck
J Cao, J Sheng, X Cong, T Liu, B Wang
arXiv preprint arXiv:2203.16863, 2022
632022
CasEE: A Joint Learning Framework with Cascade Decoding for Overlapping Event Extraction
J Sheng, S Guo, B Yu, Q Li, Y Hei, L Wang, T Liu, H Xu
arXiv preprint arXiv:2107.01583, 2021
622021
Beyond Word Attention: Using Segment Attention in Neural Relation Extraction.
B Yu, Z Zhang, T Liu, B Wang, S Li, Q Li
IJCAI, 5401-5407, 2019
622019
DisenCDR: Learning Disentangled Representations for Cross-Domain Recommendation
J Cao, X Lin, X Cong, J Ya, T Liu, B Wang
Proceedings of the 45th International ACM SIGIR Conference on Research and …, 2022
602022
Coarse-to-Fine Pre-training for Named Entity Recognition
X Mengge, B Yu, Z Zhang, T Liu, Y Zhang, B Wang
Proceedings of the 2020 Conference on Empirical Methods in Natural Language …, 2020
60*2020
Few-Shot Event Detection with Prototypical Amortized Conditional Random Field
X Cong, S Cui, B Yu, T Liu, Y Wang, B Wang
arXiv preprint arXiv:2012.02353, 2020
542020
Document-level Relation Extraction with Dual-tier Heterogeneous Graph
Z Zhang, B Yu, X Shu, T Liu, H Tang, W Yubin, L Guo
Proceedings of the 28th International Conference on Computational …, 2020
542020
An efficient regular expressions compression algorithm from a new perspective
T Liu, Y Yang, Y Liu, Y Sun, L Guo
2011 Proceedings IEEE INFOCOM, 2129-2137, 2011
482011
Contrastive Cross-Domain Sequential Recommendation
J Cao, X Cong, J Sheng, T Liu, B Wang
Proceedings of the 31st ACM International Conference on Information …, 2022
452022
Discontinuous Named Entity Recognition as Maximal Clique Discovery
Y Wang, B Yu, H Zhu, T Liu, N Yu, L Sun
arXiv preprint arXiv:2106.00218, 2021
432021
Wider and Deeper LLM Networks are Fairer LLM Evaluators
X Zhang, B Yu, H Yu, Y Lv, T Liu, F Huang, H Xu, Y Li
arXiv preprint arXiv:2308.01862, 2023
402023
Distilling knowledge from well-informed soft labels for neural relation extraction
Z Zhang, X Shu, B Yu, T Liu, J Zhao, Q Li, L Guo
Proceedings of the AAAI Conference on Artificial Intelligence 34 (05), 9620-9627, 2020
352020
Learning to Prune Dependency Trees with Rethinking for Neural Relation Extraction
B Yu, X Mengge, Z Zhang, T Liu, W Yubin, B Wang
Proceedings of the 28th International Conference on Computational …, 2020
322020
Identifying Users across Different Sites using Usernames
Y Wang, T Liu, Q Tan, J Shi, L Guo
Procedia Computer Science 80, 376-385, 2016
312016
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