About me

• Hi, I am yongkang, a PhD candidate at NEU
• Currently, I am in my first year studying in the fields of computational linguistics / natural language processing at Center for Information and Language Processing (CIS), co-directed by Prof. Hinrich Schütze and Prof. Barbara Plank. I am supervised by Prof. Hinrich Schütze. I am also an associated member of Munich Center for Machine Learning (MCML).
• I obtained my M.Sc. degree in computational linguistics and informatics at NEU.

Research Interest

• Dialogue system

Publications

• Yongkang Liu, Shi Feng, Daling Wang, Yifei Zhang and Hinrich Schütze. Evaluate What You Can’t Evaluate: Unassessable Generated Responses Quality. arxiv. [paper]

• Yongkang Liu, Shi Feng, Daling Wang, Yifei Zhang and Hinrich Schütze. PVGRU: Generating Diverse and Relevant Dialogue Responses via Pseudo-Variational Mechanism. ACL2023. [paper]

• Feiliang Ren, Yongkang Liu, Bochao Li, Shilei Liu, Bingchao Wang, Jiaqi Wang, Chunchao Liu, Qi Ma. An Understanding-Oriented Robust Machine Reading Comprehension Model ACM TALLIP. 2022.[paper]

• Yongkang Liu, Shi Feng, Wei Gao, Daling Wang, Yifei Zhang. DialogConv: A Lightweight Fully Convolutional Network for Multi-view Response Selection. EMNLP. 2022.[paper]

• Yongkang Liu, Shi Feng, Daling Wang, Yifei Zhang. MulZDG: Multilingual Code-Switching Framework for Zero-shot Dialogue Generation. COLING. 2022. [paper]

• Feiliang Ren, Yongkang Liu, Bochao Li, Zhibo Wang, Yu Guo, Shilei Liu, Huimin Wu, Jiaqi Wang, Chunchao Liu, Bingchao Wang. Deep understanding based multi-document machine reading comprehension. ACM TALLIP. 2022.[paper]

• Yongkang Liu, Shi Feng, Daling Wang, Kaisong Song, Feiliang Ren, Yifei Zhang. A graph reasoning network for multi-turn response selection via customized pre-training. AAAI. 2021.[paper]

• Feiliang Ren, Di Zhou, Zhihui Liu, Yongcheng Li, Rongsheng Zhao, Yongkang Liu, Xiaobo Liang. Neural relation classification with text descriptions. COLING. 2018. [paper]

• Yongkang Liu *, Xiaobo Liang *, Feiliang Ren, Yan Li, Yining Hou, Yi Zhang, Lingfeng Pan. An Enhanced ESIM Model for Sentence Pair Matching with Self-Attention. CCKS. 2018. [paper]

• Liang Xiaobo, Ren Feiliang, Yongkang Liu. N-Reader: Machine reading comprehension model based on double layers of self-attention. J. Chin. Inf. Process 2018. [paper]

COMPETITIONS

• [2020.07] Multi-Turn Dialogue Reasoning Challenge. No.1 (Individual Participation)
• [2020.05] 2020 NLP Challenge on Machine Reading Comprehension. No.3 (Team Leader)
• [2019.09] Machine Reading Comprehension of Squad1.0 (No.3) And Squad2.0 (No. 12). (Individual Participation)
• [2019.06] Competition on Machine Reading Comprehension of TriviaQA. No.1 (Individual Participation)
• [2018.07] Question Matching Competition of Webank Intelligent Customer Service. No.1 (Team)
• [2018.05] 2018 NLP Challenge on Machine Reading Comprehension. No.3 (Team Leader)

Thesis Supervision

• Zheng Hua: A Unified Multi-Domain Framework for Low-Resource Dialogue Generation. SS 2023. (Msc. Thesis)

If you take interest in writing/conducting a Bachelor/Master thesis/project in the field of dialogue system feel free to contact me by yongkang@cis.lmu.de for further information. (See also: Working at Schuetze Lab)