Qiguang Chen (陈麒光)

Hello! I’m a fourth-year undergraduate of Harbin Institute of Technology, majoring in Software Engineering, at Computing Faculty. My research interests includes Task-oriented Dialogue System and Explanable NLP.

Currently, I am an associate master at SCIR supervised by Prof. Libo Qin and Prof. Wanxiang Che. Previously, as an undergraduate student, I have done research intern at Baidu NLP , supervised by Lijie Wang and Dr. Jing Liu.

Other than my work, I’m honored as the president of HIT Software Competition Club, and Deputy Secretary-General for MLNLP.

News Publications Honors&Awards Patent Applications

News

[2022.10] Fortunately, I win the CCF Excellent College Students Price!
[2022.10] Lead by Dr. Bo Zheng and Prof. Wanxiang Che, our paper achieves achieve the Best Paper in EMNLP MMNLU2022 WorkShop.
[2022.09] I formally join SCIR, HIT.
[2022.08] Our follow-up work on inconsistency in task-oriented dialogue systems is accepted by COLING2022. Thanks for co-authors from HIT, HKU, BUAA, CUMC! More exciting, with the guidance of Prof. Wanxiang Che, our team, lead by Dr. Bo Zheng, win the first price in MMNLU-22 Competition.
[2022.05] I join Baidu NLP, Baidu Inc.
[2022.04] Our work on multi-lingual SLU is accepted by ACL 2022. Thanks for co-authors from HIT, MSRA and NUS!
[2021.09] Our work on inconsistencies in Task-oriented Dialogue System is accepted by EMNLP 2021. Thanks for co-authors from HIT!

Publications

	HIT-SCIR at MMNLU-22: Consistency Regularization for Multilingual Spoken Language Understanding Bo Zheng, Zhouyang Li, Fuxuan Wei, Qiguang Chen, Libo Qin, Wanxiang Che. [EMNLP 2022 MMNLU Workshop Best Paper] PDF / Code To improve the performance of these two sub-tasks, we propose to use consistency regularization based on a hybrid data augmentation strategy. The consistency regularization enforces the predicted distributions for an example and its semantically equivalent augmentation to be consistent.
	CGIM: A Cycle Guided Interactive Learning Model for Consistency Identification in Task-oriented Dialogue Libo Qin, Qiguang Chen, Tianbao Xie, Qian Liu, Shijue Huang, Wanxiang Che, Zhou Yu. [COLING 2022] PDF / Code / Slides This work aims to solve CI-ToD task by introducing an explicit interaction paradigm, Cycle Guided Interactive learning Model (CGIM), which achieves to make information exchange explicitly from all the three tasks.
	GL-CLeF: A Global-Local Contrastive Learning Framework for Cross-lingual Spoken Language Understanding. Libo Qin, Qiguang Chen, Tianbao Xie, Qixin Li, Jian-Guang Lou, Wanxiang Che, Min-Yen Kan. [ACL 2022] PDF / Code / Slides We present Global-Local Contrastive Learning Framework (GL-CLeF) to address this shortcoming. Specifically, we employ contrastive learning, leveraging bilingual dictionaries to construct multilingual views of the same utterance, then encourage their representations to be more similar than negative example pairs, which achieves to explicitly align representations of similar sentences across languages.
	Don't be Contradicted with Anything! CI-ToD: Towards Benchmarking Consistency for Task-oriented Dialogue System. Libo Qin, Tianbao Xie, Shijue Huang, Qiguang Chen, Xiao Xu, Wanxiang Che. [EMNLP2021] PDF / Code / Supp / Slides We introduce CI-ToD, a novel dataset for Consistency Identification in Task-oriented Dialog system. In addition, we not only annotate the single label to enable the model to judge whether the system response is contradictory, but also provide more fine-grained labels (i.e., Dialogue History Inconsistency, User Query Inconsistency and Knowledge Base Inconsistency) to encourage model to know what inconsistent sources lead to it.

Honors&Awards

Bachelor of Engineering (B.E.)
- CCF Excellent College Students Price (Only 100 CS students in China were invited), 2022.
- EMNLP MMNLU WorkShop Best Paper, 2022.
- 1st place in MMNLU WorkShop Full-shot Setting, 2022.
- National Second Prize in Contemporary Undergraduate Mathematical Contest in Modeling, China, 2021.
- Provincial Gold Award in “Challenge” Cup, 2022.