Jiangtong Li (李江彤)

Postdoctoral Associate

Tongji University

Biography

Jiangtong Li (李江彤) is currently a postdoctoral associate, supervised by Prof. Changjun Jiang at Department of Computer Science and Technology of Tongji University (同济大学), Shanghai, China. His research interests include multi-modal modeling, large language model, graph learning, and big data in financial.

Prior to that, he obtained his Ph.D degree in computer science from Shanghai Jiao Tong University, supervised by Prof. Liqing Zhang and Prof. Li Niu, and bachelor in chemistry from Shanghai Jiao Tong University in China. During the His was also selected into Wenjun Wu Honored Ph.D Class.

Interests

Multi-Modal Modeling
Large Language Model
Graph Learning
Big Data in Finance

Education

PhD in Computer Science, 2019 - 2024
Shanghai Jiao Tong University
BSc in Chemistry, 2015 - 2019
Shanghai Jiao Tong University

Experience

Postdoctoral Associate

Department of Computer Science and Technology, Tongji University

Jan 2024 – Present Shanghai, China

Research area include:

Multi-Modal Modeling
Large Language Model
Graph Learning
Big Data in Finance

Ph.D

MoE Key Lab of Artificial Intelligence, Shanghai Jiao Tong University

Sep 2019 – Mar 2024 Shanghai, China

Research area include:

Language-guided Vision Understanding
Casual Inference
Image-Text Retrieval
Image-Video Retrieval
Zero-shot Retrieval

Research Intern

Tencent AI Lab

Jan 2019 – Sep 2019 Shenzhen, Guangzhou, China

Research on Interactive Dialogue System based on topic transfer and Transfer Learning on Pre-trained Language Model

Research Asistant

Center for Brain-like Computing and Machine Intelligence, Shanghai Jiao Tong University

Jun 2017 – Jun 2019 Shanghai, China

Research area include:

Interactive Dialogue System
Word Segementation
Neural Machine Translation
Neural Language Generation

Publications

Zhaohe Liao*, Jiangtong Li*, Li Niu, Liqing Zhang. (2024). Align and Aggregate: Compositional Reasoning with Video Alignment and Answer Aggregation for Video Question-Answering. CVPR 2024.

Linfeng Tan, Jiangtong Li, Li Niu, Liqing Zhang. (2023). Deep Image Harmonization in Dual Color Spaces. ACM MM 2023.

Lingxiao Lu, Jiangtong Li, Li Niu, Liqing Zhang. (2023). Painterly Image Harmonization using Diffusion Model. ACM MM 2023.

Jiangtong Li, Li Niu, Liqing Zhang. (2023). Knowledge Proxy Intervention for Deconfounded Video Question Answering. ICCV 2023.

Zhixin Ling, Zhen Xing, Jiangtong Li, Li Niu. (2022). Multi-Level Region Matching for Fine-Grained Sketch-Based Image Retrieval. ACM MM 2022.

Jiangtong Li, Li Niu, Liqing Zhang. (2022). From Representation to Reasoning: Towards both Evidence and Commonsense Reasoning for Video Question-Answering. CVPR 2022.

Jiangtong Li, Zhixin Ling, Li Niu, Liqing Zhang. (2022). Zero-Shot Sketch-Based Image Retrieval with Structure-aware Asymmetric Disentanglement. CVIU 2022.

Jiangtong Li, Li Niu, Liqing Zhang. (2022). Action-Aware Embedding Enhancement for Image-Text Retrieval. AAAI 2022.

Jiangtong Li, Liu Liu, Li Niu, Liqing Zhang. (2021). Memorize, Associate and Match: Embedding Enhancement via Fine-Grained Alignment for Image-Text Retrieval,. IEEE TIP 2021.

Jiangtong Li, Wentao Wang, Junjie Chen, Li Niu, Jianlou Si, Chen Qian, Liqing Zhang (2021). Video Semantic Segmentation via Sparse Temporal Transformer,. ACM MM 2021.

Liu Liu, Jiangtong Li, Li Niu, Ruicong Xu, Liqing Zhang. (2021). Activity image-to-video retrieval by disentangling appearance and motion. AAAI 2021.

Fengshun Xiao, Jiangtong Li, Hai Zhao, Rui Wang, Kehai Chen. (2019). Lattice-Based Transformer Encoder for Neural Machine Translation,. ACL 2019.

Zhuosheng Zhang, Hai Zhao, Kangwei Ling, Jiangtong Li, Zuchao Li, Shexia He (2019). Effective Subword Segmentation for Text Comprehension. TASLP 2019.

Zhuosheng Zhang *, Jiangtong Li *, Pengfei Zhu, Hai Zhao, Gongshen Liu. (2018). Modeling Multi-turn Conversation with Deep Utterance Aggregation. COLING 2018.

PDF Code Dataset