Hu, Shengding

8 publications

TMLR 2026 ACDiT: Interpolating Autoregressive Conditional Modeling and Diffusion Transformer Jinyi Hu, Shengding Hu, Yuxuan Song, Yufei Huang, Mingxuan Wang, Hao Zhou, Zhiyuan Liu, Wei-Ying Ma, Maosong Sun

ICLR 2025 A Multi-Power Law for Loss Curve Prediction Across Learning Rate Schedules Kairong Luo, Haodong Wen, Shengding Hu, Zhenbo Sun, Zhiyuan Liu, Maosong Sun, Kaifeng Lyu, Wenguang Chen

ICLRW 2025 ACDiT: Interpolating Autoregressive Conditional Modeling and Diffusion Transformer Jinyi Hu, Shengding Hu, Yuxuan Song, Yufei Huang, Mingxuan Wang, Hao Zhou, Zhiyuan Liu, Wei-Ying Ma, Maosong Sun

NeurIPSW 2024 A Multi-Power Law for Loss Curve Prediction Across Learning Rate Schedules Kairong Luo, Haodong Wen, Shengding Hu, Zhenbo Sun, Zhiyuan Liu, Maosong Sun, Kaifeng Lyu, Wenguang Chen

ICMLW 2024 LEGENT: Open Platform for Embodied Agents Zhili Cheng, Jinyi Hu, Zhitong Wang, Yuge Tu, Shengding Hu, An Liu, Pengkai Li, Lei Shi, Zhiyuan Liu, Maosong Sun

ICLR 2024 Predicting Emergent Abilities with Infinite Resolution Evaluation Shengding Hu, Xin Liu, Xu Han, Xinrong Zhang, Chaoqun He, Weilin Zhao, Yankai Lin, Ning Ding, Zebin Ou, Guoyang Zeng, Zhiyuan Liu, Maosong Sun

NeurIPS 2022 Sparse Structure Search for Delta Tuning Shengding Hu, Zhen Zhang, Ning Ding, Yadao Wang, Yasheng Wang, Zhiyuan Liu, Maosong Sun

NeurIPS 2020 Graph Policy Network for Transferable Active Learning on Graphs Shengding Hu, Zheng Xiong, Meng Qu, Xingdi Yuan, Marc-Alexandre Côté, Zhiyuan Liu, Jian Tang