Hi, I'm Haotian Sun.

Ph.D. Student in Machine Learning at Georgia Tech 🐝
haotian (dot) sun [at] gatech (dot) edu

I'm a fourth-year Ph.D. student in Machine Learning at Georgia Institute of Technology, co-advised by Dr. Bo Dai and Dr. Chao Zhang. I am also fortunate to work closely with Dr. Nan Du as a research intern at Apple.

My research focuses on large-scale multi-modal foundation models, with a core emphasis on building scalable, adaptive, and highly personalized generative systems. I also work on LLM adaptation for black-box models and agentic planning.

I've had the privilege of collaborating with researchers at Apple, Georgia Tech, CentraleSupélec, and Xi'an Jiaotong University.

News


Featured Publications

AmorLIP: Efficient Language-Image Pretraining via Amortization

Haotian Sun , Yitong Li , Yuchen Zhuang , Niao He , Hanjun Dai , Bo Dai

Accepted at NeurIPS'25


Vision-language pretraining, CLIP, Amortized inference

EC-DIT: Scaling Diffusion Transformers with Adaptive Expert-Choice Routing

Haotian Sun , Tao Lei , Bowen Zhang , Yanghao Li , Haoshuo Huang , Ruoming Pang , Bo Dai , Nan Du

Accepted at ICLR'25


MoE, Diffusion, Text-to-image synthesis

HYDRA: Model Factorization Framework for Black-Box LLM Personalization

Yuchen Zhuang , Haotian Sun , Yue Yu , Rushi Qiang , Qifan Wang , Chao Zhang , Bo Dai

Accepted at NeurIPS'24


Black-box LLMs, Personalization, Recommendation

BBox-Adapter: Lightweight Adapting for Black-Box Large Language Models

Haotian Sun* , Yuchen Zhuang* , Wei Wei , Chao Zhang , Bo Dai

Accepted at ICML'24 (Spotlight, top 3.5%)


Black-box LLMs, Adaptation, Plug-and-play

AdaPlanner: Adaptive Planning from Feedback with Language Models

Haotian Sun* , Yuchen Zhuang* , Lingkai Kong , Bo Dai , Chao Zhang

Accepted at NeurIPS'23


Closed-loop adaptive planning, LLM agent, Code interface, Skill discovery

ToolQA: A Dataset for LLM Question Answering with External Tools

Yuchen Zhuang , Yue Yu , Kuan Wang , Haotian Sun , Chao Zhang

Accepted at NeurIPS'23 (Datasets and Benchmarks Track)


LLM evaluation, Dataset curation, Tool use