Sun, Haotian

12 publications

NeurIPS 2025 AmorLIP: Efficient Language-Image Pretraining via Amortization Haotian Sun, Yitong Li, Yuchen Zhuang, Niao He, Hanjun Dai, Bo Dai

ICLR 2025 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

NeurIPS 2025 Matryoshka Pilot: Learning to Drive Black-Box LLMs with LLMs ChangHao Li, Yuchen Zhuang, Rushi Qiang, Haotian Sun, Hanjun Dai, Chao Zhang, Bo Dai

AISTATS 2025 Spectral Representation for Causal Estimation with Hidden Confounders Haotian Sun, Antoine Moulin, Tongzheng Ren, Arthur Gretton, Bo Dai

ICML 2024 BBox-Adapter: Lightweight Adapting for Black-Box Large Language Models Haotian Sun, Yuchen Zhuang, Wei Wei, Chao Zhang, Bo Dai

NeurIPS 2024 HYDRA: Model Factorization Framework for Black-Box LLM Personalization Yuchen Zhuang, Haotian Sun, Yue Yu, Rushi Qiang, Qifan Wang, Chao Zhang, Bo Dai

NeurIPSW 2024 Spectral Representation for Causal Estimation with Hidden Confounders Tongzheng Ren, Haotian Sun, Antoine Moulin, Arthur Gretton, Bo Dai

AISTATS 2024 Two Birds with One Stone: Enhancing Uncertainty Quantification and Interpretability with Graph Functional Neural Process Lingkai Kong, Haotian Sun, Yuchen Zhuang, Haorui Wang, Wenhao Mu, Chao Zhang

NeurIPS 2023 AdaPlanner: Adaptive Planning from Feedback with Language Models Haotian Sun, Yuchen Zhuang, Lingkai Kong, Bo Dai, Chao Zhang

NeurIPSW 2023 AdaPlanner: Adaptive Planning from Feedback with Language Models Haotian Sun, Yuchen Zhuang, Lingkai Kong, Bo Dai, Chao Zhang

ICML 2023 Autoregressive Diffusion Model for Graph Generation Lingkai Kong, Jiaming Cui, Haotian Sun, Yuchen Zhuang, B. Aditya Prakash, Chao Zhang

NeurIPS 2023 ToolQA: A Dataset for LLM Question Answering with External Tools Yuchen Zhuang, Yue Yu, Kuan Wang, Haotian Sun, Chao Zhang