Academic Outputs
Organization of Workshop and Shared Tasks
- Co-organizing the Visual Spatial Description (VSD) Grand Challenge @ ACM Multimedia 2023
- Co-organizing the Nominal Compound Chain Extraction (NCCE) Shared Task @ NLPCC 2024
- Co-organizing the Dialogue-level Coreference Resolution and Relation Extraction Shared Task @ NLPCC 2024
- Co-organizing the 1st Deep Multimodal Learning for Information Retrieval (MMIR 2023) Workshop @ ACM Multimedia 2023
- Co-organizing the Conversational Aspect-based Sentiment Analysis (DiaASQ) Shared Task @ NLPCC 2023
Invited Talks
- 2024.1: From Multimodal LLM to AGI, Harbin Institute of Technology, Shenzhen
- 2023.12: From Multimodal LLM to AGI, CIPS Youth Working Committee in A Star, Singapore
- 2023.9: LLM-Empowered Text-to-Vision Diffusion Models, MLNLP 2023, (slides)
- 2023.8: LLM-Empowered Text-to-Vision Diffusion Models, WING lab @ NUS, (slides)
- 2023.8: Scene Graph-driven Structured Vision-Language Learning, Chinese Academy of Sciences, (slides)
- 2023.4: Towards Human-level AI, Huawei Cloud, (slides)
- 2023.2: Towards Human-level AI, NExT++ @ NUS, (slides)
- 2022.10: On the Structure-aware NLP and Beyond, Jianghan University, (slides)
- 2022.9: Neural Models for End-to-end Complex Information Extraction, SEA AI Lab, (slides)
- 2022.6: On the Structure-aware NLP and Beyond, NExT++ @ NUS, (slides)
- 2021.10: Language Semantic Vs. Syntactic Structure Parsing, Wuhan University, (slides)
- 2020.8: Deep Learning in NLP, Wuhan University, (slides)
- 2019.11: Implicit Objective Network for Emotion Detection, NLPCC 2019, (slides)
Tutorials
- 2024.6: From Multimodal LLM to Human-level AI: Modality, Instruction, Reasoning and Beyond, CVPR 2024, Seattle WA, USA
- 2024.5: From Multimodal LLM to Human-level AI: Modality, Instruction, Reasoning, Efficiency and Beyond, LREC-COLING 2024, Torino, Italia
- 2022.10: Python Introduction and Preliminary for Research, Wuhan University
- 2020.4: How to AI Research and Paper Writing for AI Beginner, Wuhan University, (slides)
Teaching Assistant
- Hands-on Learning Large Language Models, Shanghai Jiao Tong University, May, 2024
- C programming and Algorithm, Wuhan University, Autumn 2019
- Natural Language Understanding, Wuhan University, Autumn 2020
- Deep Learning, Wuhan University, Spring 2021
Mentoring
Those are the students I am (was) collaborating with.
- Ph.D Students
- Ji Qi, Tsinghua University, Visiting Ph.D @ NUS
- Yichong Huang, Harbin Institute of Technology, Visiting Ph.D @ NUS
- Han Zhang, Xidian University, Remotely co-advising with Prof. Hong Han
- Shengqiong Wu, NUS, Co-advising with Prof. Tat-Seng Chua
- Yu Zhao, Tianjin University, Visiting Ph.D @ NUS, Co-advising with Prof. Meishan Zhang
- Bobo Li, Wuhan University, Visiting Ph.D @ NUS, Co-advising with Prof. Donghong Ji
- Master Students
- Jundong Xu, NUS, Co-advising with Prof. Mong-Li Lee and Prof. Wynne Hsu
- Meng Luo, NUS, Co-advising with Prof. Mong-Li Lee and Prof. Wynne Hsu
- Haidong Xu, Harbin Institute of Technology (Shenzhen), Co-advising with Prof. Meishan Zhang
- Bin Wang, Harbin Institute of Technology (Shenzhen), Co-advising with Prof. Meishan Zhang
- Minghui Xu, Wuhan University, Co-advising with Prof. Fei Li
- Ling Zhuang, Central China Normal University, Co-advising with Prof. Po Hu
- Jiang Liu, Wuhan University, Co-advising with Prof. Donghong Ji
- Li Zheng, Wuhan University, Co-advising with Prof. Fei Li
- Yuyang Chai, Wuhan University, Co-advising with Prof. Donghong Ji
- Jingye Li, Wuhan University, Co-advising with Prof. Donghong Ji
- Peng Tao, Wuhan University, Co-advising with Prof. Donghong Ji
- Jun Gao, Wuhan University, Co-advising with Prof. Donghong Ji