3-D models merging based on cost optimization. - Kunyuan Pang; Ting Wang 009 (ICIMCS, 2015)

Which Embedding Level is Better for Semantic Representation? An Empirical Research on Chinese Phrases. - Kunyuan Pang; Jintao Tang; Ting Wang 009 (NLPCC (2), 2018)

Selecting Paragraphs to Answer Questions for Multi-passage Machine Reading Comprehension. - Dengwen Lin; Jintao Tang; Kunyuan Pang; Shasha Li 001; Ting Wang 009 (CCIR, 2019)

Show, Rethink, And Tell: Image Caption Generation With Hierarchical Topic Cues. - Feng Chen; Songxian Xie; Xinyi Li 001; Jintao Tang; Kunyuan Pang; Shasha Li 001; Ting Wang 009 (ICME, 2021)

Constructing an Educational Knowledge Graph with Concepts Linked to Wikipedia. - Fu-Rong Dang; Jintao Tang; Kunyuan Pang; Ting Wang 009; Shasha Li 001; Xiao Li 039 (J. Comput. Sci. Technol., 2021)

Divide and Denoise: Learning from Noisy Labels in Fine-Grained Entity Typing with Cluster-Wise Loss Correction. - Kunyuan Pang; Haoyu Zhang; Jie Zhou 013; Ting Wang 009 (ACL (1), 2022)

Multi-Document Scientific Summarization from a Knowledge Graph-Centric View. - Pancheng Wang; Shasha Li 001; Kunyuan Pang; Liangliang He; Dong Li 048; Jintao Tang; Ting Wang 009 (COLING, 2022)

Multi-source Representation Enhancement for Wikipedia-style Entity Annotation. - Kunyuan Pang; Shasha Li 001; Jintao Tang; Ting Wang 009 (IJCNN, 2022)

BERT-SMAP: Paying attention to Essential Terms in passage ranking beyond BERT. - Dengwen Lin; Jintao Tang; Xinyi Li 001; Kunyuan Pang; Shasha Li 001; Ting Wang 009 (Inf. Process. Manag., 2022)

Distinguishing Sensitive and Insensitive Options for the Winograd Schema Challenge. - Dong Li 048; Pancheng Wang; Liangliang He; Kunyuan Pang; Shasha Li 001; Jintao Tang; Ting Wang 009 (DASFAA (3), 2023)