About Me
I am a Research Engineer at Alibaba DAMO Academy. I obtained my PhD degree from The Chinese University of Hong Kong (CUHK) in 2021, under supervision of Prof. Wai Lam. Before starting my PhD career, I was an undergraduate at Sun Yat-sen Universy (SYSU). I have ever interned at Microsoft Research Asia, Tencent AI Lab and Huawei Noah’s Ark Lab.
Contact E-mail: lixin4ever@gmail.com.
Research Interests
- Efficient LLM Fine-tuning & Inference
- Multimodal & Multilingual LLMs
Education
Experiences
- Jul 2020-Feb 2021, Research Intern, Speech and Semantics Group@Huawei Noah’s Ark Lab. Mentor: Dr. Yi Liao.
- Jan 2018-Apr 2018, Research Intern, NLP Center@Tencent AI Lab. Mentor: Dr. Lidong Bing and Dr. Piji Li.
- Jul 2015-Jun 2016, Research intern, Knowledge Computing Group@Microsoft Research Asia. Mentor: Dr. Chin-Yew Lin and Dr. Jing Liu
- Sep 2014-July 2015, Research assistant, SentiNet Group, Sun Yat-Sen University. Supervisor: Prof. Rao Yanghui
Preprints
- Video-LLaMA: An Instruction-tuned Audio-Visual Language Model for Video Understanding
Hang Zhang, Xin Li, Lidong Bing.
arXiv:2306.02858
[code][demo (hugging face)][demo (modelscope)][checkpoints]
- Unsupervised Cross-lingual Adaptation for Sequence Tagging and Beyond
Xin Li, Lidong Bing, Wenxuan Zhang, Zheng Li, Wai Lam.
arXiv:2010.12405.
- Enhancing Dialogue Generation via Multi-Level Contrastive Learning
Xin Li, Piji Li, Yan Wang, Xiaojiang Liu and Wai Lam.
arXiv:2009.09147.
- Pyramid Mask Text Detector
Jingchao Liu, Xuebo Liu, Jie Sheng, Ding Liang, Xin Li, Qingjie Liu.
arXiv:1903.11800.
[code by Jingchao]
- From Clozing to Comprehending: Retrofitting Pre-trained Language Model to Pre-trained Machine Reader
Weiwen Xu, Xin Li, Wenxuan Zhang, Meng Zhou, Lidong Bing, Wai Lam and Luo Si.
To appear in NeurIPS 2023 (Full paper, poster)
[code by Weiwen]
- mPMR: Multilingual Machine Reader Pre-training at Scale
Weiwen Xu, Xin Li, Wai Lam and Lidong Bing.
In ACL 2023 (Short paper, poster)
[code by Weiwen]
- PeerDA: Data Augmentation via Modeling Peer Relation for Span Identification Tasks
Weiwen Xu, Xin Li, Yang Deng, Lidong Bing and Wai Lam.
In ACL 2023 (Full paper, poster)
[code by Weiwen]
- Improving Self-training for Cross-lingual Named Entity Recognition with Contrastive and Prototype Learning
Ran Zhou, Xin Li, Lidong Bing, Erik Cambria and Chunyan Miao.
In ACL 2023 (Full paper, poster)
[code by Ran]
- Enhancing Cross-lingual Prompting with Dual Prompt Augmentation
Meng Zhou, Xin Li, Yue Jiang and Lidong Bing.
In Findings of ACL 2023 (Short paper)
[code by Meng]
- Towards Robust Low-Resource Fine-Tuning with Multi-View Compressed Representations
Linlin Liu, Xingxuan Li, Megh Thakkar, Xin Li, Shafiq Joty, Luo Si and Lidong Bing.
In ACL 2023 (Full paper, poster)
[code by Xingxuan]
- A Survey on Aspect-Based Sentiment Analysis: Tasks, Methods, and Challenges
Wenxuan Zhang, Xin Li, Yang Deng, Lidong Bing and Wai Lam.
IEEE Transactions on Knowledge and Data Engineering (TKDE), 2022
[website][blog]
- Enhancing Multilingual Language Model with Massive Multilingual Knowledge Triples
Linlin Liu, Xin Li, Ruidan He, Lidong Bing, Shafiq Joty and Luo Si.
In EMNLP 2022 (Full paper, poster)
[code by Linlin]
- Retrofitting Multilingual Sentence Embeddings with Abstract Meaning Representation
Deng Cai, Xin Li, Jackie Chun-Sing Ho, Lidong Bing and Wai Lam.
[code by Deng]
In EMNLP 2022 (Full paper, poster)
- ConNER: Consistency Training for Cross-lingual Named Entity Recognition
Ran Zhou, Xin Li, Lidong Bing, Erik Cambria, Luo Si and Chunyan Miao.
In EMNLP 2022 (Full paper, poster)
[code by Ran]
- MELM: Data Augmentation with Masked Entity Language Modeling for Low-Resource NER
Ran Zhou, Xin Li, Ruidan He, Lidong Bing, Erik Cambria, Luo Si and Chunyan Miao.
In ACL 2022 (Full paper, poster).
[code by Ran][bibtex]
- Multilingual AMR Parsing with Noisy Knowledge Distillation
Deng Cai, Xin Li, Jackie Chun-Sing Ho, Lidong Bing and Wai Lam.
In Findings of EMNLP 2021 (Full paper)
[code by Deng][bibtex]
- Aspect Sentiment Quad Prediction as Paraphrase Generation
Wenxuan Zhang, Yang Deng, Xin Li, Yifei Yuan, Lidong Bing and Wai Lam.
In EMNLP 2021 (Full paper)
[code by Wenxuan][bibtex]
- Towards Generative Aspect-Based Sentiment Analysis
Wenxuan Zhang, Xin Li, Yang Deng, Lidong Bing, Wai Lam.
In ACL 2021 (Short paper, oral)
[code by Wenxuan][bibtex]
- Relevance-Promoting Language Model for Short-Text Conversation
Xin Li, Piji Li, Wei Bi, Xiaojiang Liu and Wai Lam.
In AAAI 2020 (Full paper, poster).
[code][poster]
- Exploiting BERT for End-to-End Aspect-Based Sentiment Analysis.
Xin Li, Lidong Bing, Wenxuan Zhang and Wai Lam.
In EMNLP 2019 Workshop W-NUT.
[code][bibtex]
- Transferable End-to-End Aspect-based Sentiment Analysis with Selective Adversarial Learning.
Zheng Li, Xin Li, Ying Wei, Lidong Bing, Yu Zhang, and Qiang Yang.
In EMNLP 2019 (Full Paper, oral).
[code][bibtex]
- A Unified Model for Opinion Target Extraction and Target Sentiment Prediction.
Xin Li, Lidong Bing, Piji Li and Wai Lam.
In AAAI 2019 (Full paper, poster).
[code][slides][bibtex]
- Exploiting Coarse-to-Fine Task Transfer for Aspect-level Sentiment Classification.
Zheng Li, Ying Wei, Yu Zhang, Xiang Zhang, Xin Li and Qiang Yang.
In AAAI 2019 (Full paper, oral).
[data][bibtex]
- Transformation Networks for Target-Oriented Sentiment Classification.
Xin Li, Lidong Bing, Wai Lam, Bei Shi.
In ACL 2018 (Full paper, oral).
[code][dataset][slides][bibtex][code from ABSA_pytorch (recommended)]
- Aspect Term Extraction with History Attention and Selective Transformation.
Xin Li, Lidong Bing, Piji Li, Wai Lam, Zhimou Yang.
In IJCAI 2018 (Full paper, oral).
[code][dataset][slides][bibtex]
- Deep Multi-task Learning for Aspect Term Extraction with Memory Interaction.
Xin Li, Wai Lam.
In EMNLP 2017 (Short paper, oral).
[slides][bibtex]
- Social Emotion Classification Based on Noise Aware Training.
Xin Li, Haoran Xie, Yanghui Rao, Xuebo Liu, Tak-Lam Wong, Fu Lee Wang.
Data and Knowledge Engineering Journal (DKE Journal).
- ZhihuRank: A Topic-Sensitive Expert Finding Algorithm in Community Question Answering Websites.
Xuebo Liu, Shuang Ye, Xin Li, Yonghao Luo and Yanghui Rao.
In ICWL 2015 (The 14th International Conference on Web-based Learning).
[slides]
Honors & Awards
- AAAI Student Scholarship, 2020
- Outstanding Graduates Awards, Sun Yat-Sen University.
- Excellent Undergraduate Thesis award, Sun Yat-Sen University.
Professional Activities
- Reviewer (or PC Member):
- ACL 2020-2023, EMNLP 2018-2023, NAACL 2021
- AAAI 2019-2020
- WSDM 2023, CIKM 2021
- ACM Transactions on Knowledge Discovery from Data (TKDD)
- ACM Transactions on Asian and Low-Resource Language Information Processing (TALLIP)
- IEEE Transaction on Multimedia (TMM)
- Neurocomputing
- Computational Intelligence
Some Useful Notes & Links
Social
Hobbies
- Playing basketball
- Swimming
- Hiking