Ting-En Lin (林廷恩)

Ting-En Lin (林廷恩)

NLP, Conversational AI, Multimodal Understanding

About me

Ting-En (Tony) Lin is a senior researcher at Tongyi Laboratory, Alibaba Group. His research focuses on Natural Language Processing, Conversational AI, and Multimodal Understanding. He publishes papers and serves as a program committee for various leading conferences such as ACL/EMNLP/AAAI. Tony received his MPhil degree in Computer Science and Technology at Tsinghua University (THU), working with Prof. Hua Xu, and his bachelor’s degree from Electrical and Computer Engineering at the National Chiao Tung University (NCTU).

Page Views

News

2023 - Now

  • Sep. 2023: Self-Explanation, a simple yet effective LLM prompting method to improve task-oriented dialogue understanding, is accepted to LREC-COLING 2024!@Torino
  • Sep. 2023: SpokenWoz, a bi-modal new benchmark for spoken dialogue agents, is accepted to NeurIPS 2023!@New Orleans
  • Jul. 2023: UniSA, a unified multimodal generative framework for sentiment analysis, is accepted to ACM MM 2023!@Ottawa
  • Jun. 2023: Tongyi Tingwu - Unveiled as Alibaba’s state-of-the-art AI Assistant for both Work and Study, it stands as China’s first LLM application product to enter public beta, boasting powerful summarization capabilities powered by us.
  • May. 2023: SPECTRA, the first-ever speech-text dialogue pre-training model, is accepted to ACL 2023!@Toronto
  • Apr. 2023: Dial-Start, a method for unsupervised dialogue topic segmentation, is accepted to SIGIR 2023!@Taipei
  • Feb. 2023: ECTG, an empathetic response generation method, is accepted to ICASSP 2023!@Rhodes

- 2022

  • Oct. 2022: UniMSE, our work that unified multimodal sentiment analysis and emotion recognition in conversation, is accepted to EMNLP 2022!@Abu Dhabi
  • May. 2022: Duplex Conversation, our multimodal spoken dialogue system that enables human-like interactions, is accepted to KDD 2022! @Washington DC
  • Feb. 2021: Two papers (open intent detection and discovery) are accepted to AAAI 2021!
  • Jun. 2020: Received Tsinghua outstanding dissertation and graduate award! (Top 5%)
  • Feb. 2020: CDAC+, a semi-supervised clustering method for open intent discovery, is presented at AAAI 2020! @New York
  • Jul. 2019: DeepUnk (LMCL), a simple yet effective method for open intent detection, is presented at ACL 2019! @Florence
  • Jun. 2016: Received NCTU outstanding contribution award! (Top 1%)
  • Dec. 2015: Visited Stanford Research Institute (SRI) for a two-week innovation workshop! @California

Awards

  • Outstanding Dissertation and Graduate Award (Top 5%), Tsinghua University, 2020.
  • Special Prize Scholarship for Overseas Students (Top 2%), Ministry of Education, 2019.
  • Special Prize Scholarship for Overseas Students (Top 2%), Ministry of Education, 2018.
  • Outstanding Contribution Award (Top 1%), National Chiao Tung University, 2016.
  • Winner of Booking.com Hackathon, Taipei, 2017.
  • Winner of Mei-Chu Hackathon, National Chiao Tung and Tsinghua University, 2015.
  • Runner-up of TUAT Entrepreneurship Competition, Japan, 2015.

Professional Services

Reviewer / Program Committee Member in:

  • Natural Language Processing (NLP): ACL/ARR 22/23/24, EMNLP 21/22/23
  • Artificial Intelligent (AI): AAAI 21/22/23/24, IJCAI 23
  • Data Mining (DM): KDD 23, WSDM 22/24
  • Journal and Others: TKDE / TMM / KBS / ICASSP 24 …

We Are Hiring! (2024.1)

We are actively hiring NLP algorithm experts (P6~P7). Feel free to contact me if you need any further information.