Fanheng Kong

I am a first year (2023-now) M.Sc. student (transfer to Ph.D. in the second half of this year) in Data Mining group, at Northeastern University, advised by Prof. Shi Feng and Prof. Darling Wang.

I specialize in AIGC, including Large Multimodal Models and Multimodal Dialogue Generation , and related projects.

Currently, I'm an intern at KwaiYii, Kuaishou Technology.

Previously, I got my undergraduate degree from the Department of Artificial Intelligence at Northeastern University and had postgraduate recommendation to our school.

If you are interested in my researches, you are welcome to communicate or collaborate with me via my email.

News

[5/2024] One paper is accepted to ACL 2024 (Main) (CCF-A).
[2/2024] One paper is accepted to COLING 2024 (Main) (CCF-B).

StickerConv

Multimodal Empathetic Dialogue Dataset and LMM

TIGER

Generative Multimodal Dialogue Framework

S-Mamba

Is Mamba Effective for Time Series Forecasting?

PICA

LLM for the Emotional Domain

Awesome Multimodal

Awesome Multimodal Papers

Publications

(* equal contribution, † corresponding author)
Accepted

teaser

StickerConv: Generating Multimodal Empathetic Responses from Scratch

Yiqun Zhang^*, Fanheng Kong^*, Peidong Wang^*, Shuang Sun, Lingshuai Wang, Shi Feng^†, Daling Wang, Yifei Zhang, Kaisong Song

ACL 2024 (Main). Project Page Paper (arXiv) Code

teaser

TIGER: A Unified Generative Model Framework for Multimodal Dialogue Response Generation

Fanheng Kong, Peidong Wang, Shi Feng^†, Daling Wang, Yifei Zhang

COLING 2024 (Main). Paper Code

Others

teaser

Is Mamba Effective for Time Series Forecasting?

Zihan Wang, Fanheng Kong, Shi Feng^†, Ming Wang, Xiaocui Yang, Han Zhao, Daling Wang, Yifei Zhang

arXiv preprint, 2024-03. Paper (arXiv) Code

teaser

PICA: Unleashing The Emotional Power of Large Language Model

NEU-DM Group

Project-only. Code