Object tracking based on the improved particle filter method using on the bionic eye PTZ. - Jun Luo 006; Juqi Hu; Hengyu Li; Hengli Liu; Hao Wang 097; Shaorong Xie; Jason Gu (ROBIO, 2013)

Enhancing Relation Extraction Using Syntactic Indicators and Sentential Contexts. - Qiongxing Tao; Xiangfeng Luo; Hao Wang 097; Richard Y. D. Xu (ICTAI, 2019)

Multi-task Learning for Relation Extraction. - Kai Zhou; Xiangfeng Luo; Hao Wang 097; Richard Y. D. Xu (ICTAI, 2019)

Enhancing Relation Extraction Using Syntactic Indicators and Sentential Contexts. - Qiongxing Tao; Xiangfeng Luo; Hao Wang 097 (CoRR, 2019)

Open Event Trigger Recognition Using Distant Supervision with Hierarchical Self-attentive Neural Network. - Xinmiao Pei; Hao Wang 097; Xiangfeng Luo; Jianqi Gao 001 (ICONIP (4), 2020)

Improving taxonomic relation learning via incorporating relation descriptions into word embeddings. - Subin Huang; Xiangfeng Luo; Jing Huang; Hao Wang 097; Shengwei Gu; Yike Guo (Concurr. Comput. Pract. Exp., 2020)

MESRG: multi-entity summarisation in RDF graph. - Ze Zheng; Xiangfeng Luo; Hao Wang 097 (Int. J. Comput. Sci. Eng., 2020)

Abstract Concept Instantiation with Context Relevance Measurement. - Shengwei Gu; Xiangfeng Luo; Hao Wang 097; Jing Huang; Subin Huang (J. Web Eng., 2020)

An Extensible Framework of Leveraging Syntactic Skeleton for Semantic Relation Classification. - Hao Wang 097; Qiongxing Tao; Siyuan Du; Xiangfeng Luo (ACM Trans. Asian Low Resour. Lang. Inf. Process., 2020)

Implicit Business Competitor Inference Using Heterogeneous Knowledge Graph. - Wei Qin; Xiangfeng Luo; Hao Wang 097 (ICBK, 2021)

Causal Event Extraction using Iterated Dilated Convolutions with Semantic Convolutional Filters. - Jianqi Gao 001; Xiangfeng Luo; Hao Wang 097; Zijian Wang (ICTAI, 2021)

Back to Prior Knowledge: Joint Event Causality Extraction via Convolutional Semantic Infusion. - Zijian Wang; Hao Wang 097; Xiangfeng Luo; Jianqi Gao 001 (PAKDD (1), 2021)

An uncertain future: Predicting events using conditional event evolutionary graph. - Jianqi Gao 001; Xiangfeng Luo; Hao Wang 097 (Concurr. Comput. Pract. Exp., 2021)

Improving answer selection with global features. - Shengwei Gu; Xiangfeng Luo; Hao Wang 097; Jing Huang; Qin Wei; Subin Huang (Expert Syst. J. Knowl. Eng., 2021)

Dual-VIE: Dual-Level Graph Attention Network for Visual Information Extraction. - Junwei Zhang; Hao Wang 097; Xiangfeng Luo (PRICAI (1), 2022)

Chinese causal event extraction using causality-associated graph neural network. - Jianqi Gao 001; Xiangfeng Luo; Hao Wang 097 (Concurr. Comput. Pract. Exp., 2022)

MIFAS: Multi-source heterogeneous information fusion with adaptive importance sampling for link prediction. - Tingting Jiang 008; Hao Wang 097; Xiangfeng Luo; Shaorong Xie; Jingchao Wang 001 (Expert Syst. J. Knowl. Eng., 2022)

Vision-Enhanced Semantic Entity Recognition in Document Images via Visually-Asymmetric Consistency Learning. - Hao Wang 097; Xiahua Chen; Rui Wang 015; Chenhui Chu (EMNLP, 2023)

DocTrack: A Visually-Rich Document Dataset Really Aligned with Human Eye Movement for Machine Reading. - Hao Wang 097; Qingxuan Wang; Yue Li; Changqing Wang; Chenhui Chu; Rui Wang 015 (EMNLP (Findings), 2023)

Few-Shot Link Prediction using Variational Heterogeneous Attention Networks. - Xi Tao; Hao Wang 097; Xiangfeng Luo; Pinpin Zhu (SEKE, 2023)

Joint semantic embedding with structural knowledge and entity description for knowledge representation learning. - Xiao Wei 002; Yunong Zhang; Hao Wang 097 (Neural Comput. Appl., 2023)

An empirical study of incorporating syntactic constraints into BERT-based location metonymy resolution. - Hao Wang 097; Siyuan Du; Xiangyu Zheng; Lingyi Meng (Nat. Lang. Eng., 2023)

Enhancing Answer Selection via Ad-Hoc Knowledge Extraction from Unstructured Web Texts. - Shengwei Gu; Xiangfeng Luo; Hao Wang 097 (Int. J. Softw. Eng. Knowl. Eng., 2023)

An end-to-end neural framework using coarse-to-fine-grained attention for overlapping relational triple extraction. - Huizhe Su; Hao Wang 097; Xiangfeng Luo; Shaorong Xie (Nat. Lang. Eng., 2023)

Towards Human-Like Machine Comprehension: Few-Shot Relational Learning in Visually-Rich Documents. - Hao Wang 097; Tang Li; Chenhui Chu; Rui Wang 015; Pinpin Zhu (LREC/COLING, 2024)

Towards Human-Like Machine Comprehension: Few-Shot Relational Learning in Visually-Rich Documents. - Hao Wang 097; Tang Li; Chenhui Chu; Nengjun Zhu; Rui Wang 015; Pinpin Zhu (CoRR, 2024)

Integrating rich event-level and schema-level information for script event prediction. - Wei Qin; Xiangfeng Luo; Hao Wang 097 (Int. J. Comput. Sci. Eng., 2024)

Open-domain event schema induction via weighted attentive hypergraph neural network. - Wei Qin; Hao Wang 097; Xiangfeng Luo (Concurr. Comput. Pract. Exp., 2024)