Xintong Wang (王鑫同)Ph.D. Candidate
Language Technology Group |
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I am a third-year Ph.D. candidate at University of Hamburg (Universität Hamburg/Exzellenzuniversitäten), advised by Prof. Chris Biemann. Previously, I was a visiting student at SIAT, Chinese Academy of Sciences in 2018, advised by Prof. Min Yang. Then, I was a research assistant at PolyU, The Hong Kong Polytechnic University from 2018 to 2019, advised by Prof. Maggie Wenjie Li. I received my M.Eng. degree and B.Eng. degree from the School of Computer Science and Engineering, South China University of Technology (Double First-Class Universities and Disciplines) in 2019 and 2016, respectively. Since 2022, I also collaborate with research scientist, Dr. Ding Liang, from whom I got a lot of valuable advice.
We are hiring student assistants funded by the CML Project. Self-motivated students with experience in NLP and VLP are welcome. (Students should be enrolled in German Universities.)
I have broad interests in natural language processing (NLP), particularly in crossmodal learning and natural language generation.
Mitigating Biases in Chinese Toxic Language via Sentiment Polarity Consistent Rewrites
Xintong Wang, Yixiao Liu, and Chris Biemann.
Mitigating Hallucinations in Large Vision-Language Models with Instruction Contrastive Decoding
Xintong Wang, Jingheng Pan, Liang Ding, and Chris Biemann.
Cognition-Inspired Efficient Semantic Edit: An Empirical Study on Language Toxification and Detoxification
Xintong Wang, Xiaoyu Li, Xingshan Li, and Chris Biemann.
Probing Language Models from A Human Behavioral Perspective
Xintong Wang, Xiaoyu Li, Xingshan Li, and Chris Biemann.
Using Self-Supervised Dual Constraint Contrastive Learning for Cross-modal Retrieval
Xintong Wang, Xiaoyu Li, Liang Ding, Sanyuan Zhao, and Chris Biemann.
European Conference on Artificial Intelligence 2023 (ECAI 2023). (CORE Rank A 24%)
MOTIF: Contextualized Images for Complex Words to Improve Human Reading
Xintong Wang*, Florian Schneider*, Özge Alaçam, Prateek Chaudhury, and Chris Biemann.
Language Resources and Evaluation Conference 2022 (LREC 2022). (CORE Rank B) [Dataset]
Language over Labels: Contrastive Language Supervision Exceeds Purely Label-Supervised Classification Performance on Chest X-Rays
Anton Orell Wiehe, Florian Schneider, Sebastian Blank, Xintong Wang, Hans-Peter Zorn, and Chris Biemann.
Asia-Pacific Chapter of the Association for Computational Linguistics: SRW 2022 (AACL 2022). (CORE Rank B)
Towards Multi-Modal Text-Image Retrieval to Improve Human Reading
Florian Schneider, Özge Alacam, Xintong Wang, and Chris Biemann.
Conference of the North American Chapter of the Association for Computational Linguistic: SRW 2021 (NAACL 2021). (CORE Rank A)
Plausibility-promoting Generative Adversarial Network for Abstractive Text Summarization with Multi-task Constraint
Min Yang, Xintong Wang, Yao Lu, Jianming Lv, Ying Shen, and Chengming Li.
Information Sciences 2020. (Inf. Sci. 2020)(CORE Rank A)
Cross-dataset Person Re-Identification Using Similarity Preserved Generative Adversarial Networks
Jianming Lv, and Xintong Wang
International Conference on Knowledge Science, Engineering and Management 2018 (KSEM 2018). (CORE Rank B) [code]
Invited Talks
Academic Services
🐈I have a cat called Minus. His name is a German word (subtraction/minus), with my direct hope that he can live in an easy mode.