Jiacheng You

According to our database, Jiacheng You authored at least 14 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

OneTwoVLA: A Unified Vision-Language-Action Model with Adaptive Reasoning.

Fanqi Lin, Ruiqian Nai, Yingdong Hu, Jiacheng You, Junming Zhao, Yang Gao

CoRR, May, 2025

LoRI: Reducing Cross-Task Interference in Multi-Task Low-Rank Adaptation.

Juzheng Zhang, Jiacheng You, Ashwinee Panda, Tom Goldstein

CoRR, April, 2025

SKIL: Semantic Keypoint Imitation Learning for Generalizable Data-efficient Manipulation.

Shengjie Wang, Jiacheng You, Yihang Hu, Jiongye Li, Yang Gao

CoRR, January, 2025

Long Short-Term Imputer: Handling Consecutive Missing Values in Time Series.

Jiacheng You, Xinyang Chen, Yu Sun, Weili Guan, Liqiang Nie

Trans. Mach. Learn. Res., 2025

Fine-Tuning Hard-to-Simulate Objectives for Quadruped Locomotion: A Case Study on Total Power Saving.

Ruiqian Nai, Jiacheng You, Liu Cao, Hanchen Cui, Shiyuan Zhang, Huazhe Xu, Yang Gao

Proceedings of the IEEE International Conference on Robotics and Automation, 2025

Data Scaling Laws in Imitation Learning for Robotic Manipulation.

Fanqi Lin, Yingdong Hu, Pingyue Sheng, Chuan Wen, Jiacheng You, Yang Gao

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

Overcoming the barrier of orbital-free density functional theory for molecular systems using deep learning.

He Zhang, Siyuan Liu, Jiacheng You, Chang Liu, Shuxin Zheng, Ziheng Lu, Tong Wang, Nanning Zheng, Bin Shao

Nat. Comput. Sci., 2024

EfficientZero V2: Mastering Discrete and Continuous Control with Limited Data.

Shengjie Wang, Shaohuai Liu, Weirui Ye, Jiacheng You, Yang Gao

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Leveraging Locality to Boost Sample Efficiency in Robotic Manipulation.

Tong Zhang, Yingdong Hu, Jiacheng You, Yang Gao

Proceedings of the Conference on Robot Learning, 6-9 November 2024, Munich, Germany., 2024

2023

Improving Discriminative Multi-Modal Learning with Large-Scale Pre-Trained Models.

Chenzhuang Du, Yue Zhao, Chonghua Liao, Jiacheng You, Jie Fu, Hang Zhao

CoRR, 2023

M-OFDFT: Overcoming the Barrier of Orbital-Free Density Functional Theory for Molecular Systems Using Deep Learning.

He Zhang, Siyuan Liu, Jiacheng You, Chang Liu, Shuxin Zheng, Ziheng Lu, Tong Wang, Nanning Zheng, Bin Shao

CoRR, 2023

2022

Benchmarking Graphormer on Large-Scale Molecular Modeling Datasets.

Yu Shi, Shuxin Zheng, Guolin Ke, Yifei Shen, Jiacheng You, Jiyan He, Shengjie Luo, Chang Liu, Di He, Tie-Yan Liu

CoRR, 2022

2021

RCSANet: A Full Convolutional Network for Extracting Inland Aquaculture Ponds from High-Spatial-Resolution Images.

Zhe Zeng, Di Wang, Wenxia Tan, Gongliang Yu, Jiacheng You, Botao Lv, Zhongheng Wu

Remote. Sens., 2021

The Open Catalyst Challenge 2021: Competition Report.

Abhishek Das, Muhammed Shuaibi, Aini Palizhati, Siddharth Goyal, Aditya Grover, Adeesh Kolluru, Janice Lan, Ammar Rizvi, Anuroop Sriram, Brandon M. Wood, Devi Parikh, Zachary W. Ulissi, C. Lawrence Zitnick, Guolin Ke, Shuxin Zheng, Yu Shi, Di He, Tie-Yan Liu, Chengxuan Ying, Jiacheng You, Yihan He, Rostislav Grigoriev, Ruslan Lukin, Adel Yarullin, Max Faleev

Proceedings of the NeurIPS 2021 Competitions and Demonstrations Track, 2021