Jiacheng Sun

According to our database, Jiacheng Sun authored at least 33 papers between 2015 and 2024.

Collaborative distances:

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

2024

Subspace Metric-Based Transfer Learning for Spindle Thermal Error Prediction Under Time-Varying Conditions.

Haoyang Mao, Zhenyu Liu, Chan Qiu, Hui Liu, Jiacheng Sun, Jianrong Tan

IEEE Trans. Instrum. Meas., 2024

2023

Elucidating The Design Space of Classifier-Guided Diffusion Generation.

Jiajun Ma, Tianyang Hu, Wenjia Wang, Jiacheng Sun

CoRR, 2023

Training Energy-Based Models with Diffusion Contrastive Divergences.

Weijian Luo, Hao Jiang, Tianyang Hu, Jiacheng Sun, Zhenguo Li, Zhihua Zhang

CoRR, 2023

On the Generalization of Diffusion Model.

Mingyang Yi, Jiacheng Sun, Zhenguo Li

CoRR, 2023

Diffusion Models and Semi-Supervised Learners Benefit Mutually with Few Labels.

Zebin You, Yong Zhong, Fan Bao, Jiacheng Sun, Chongxuan Li, Jun Zhu

CoRR, 2023

Data-free Knowledge Distillation for Reusing Recommendation Models.

Cheng Wang, Jiacheng Sun, Zhenhua Dong, Jieming Zhu, Zhenguo Li, Ruixuan Li, Rui Zhang

Proceedings of the 17th ACM Conference on Recommender Systems, 2023

Gradient Matching for Categorical Data Distillation in CTR Prediction.

Cheng Wang, Jiacheng Sun, Zhenhua Dong, Ruixuan Li, Rui Zhang

Proceedings of the 17th ACM Conference on Recommender Systems, 2023

Diffusion Models and Semi-Supervised Learners Benefit Mutually with Few Labels.

Zebin You, Yong Zhong, Fan Bao, Jiacheng Sun, Chongxuan Li, Jun Zhu

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

SA-Solver: Stochastic Adams Solver for Fast Sampling of Diffusion Models.

Shuchen Xue, Mingyang Yi, Weijian Luo, Shifeng Zhang, Jiacheng Sun, Zhenguo Li, Zhi-Ming Ma

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Diff-Instruct: A Universal Approach for Transferring Knowledge From Pre-trained Diffusion Models.

Weijian Luo, Tianyang Hu, Shifeng Zhang, Jiacheng Sun, Zhenguo Li, Zhihua Zhang

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Complexity Matters: Rethinking the Latent Space for Generative Modeling.

Tianyang Hu, Fei Chen, Haonan Wang, Jiawei Li, Wenjia Wang, Jiacheng Sun, Zhenguo Li

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Breaking Correlation Shift via Conditional Invariant Regularizer.

Mingyang Yi, Ruoyu Wang, Jiacheng Sun, Zhenguo Li, Zhi-Ming Ma

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

RE-Det3D: RoI-enhanced 3D object detector.

Yiqiang Wu, Weiping Xiao, Chang Liu, Jiantao Gao, Jiacheng Sun, Guozhu Tan, Xiaomao Li

Image Vis. Comput., 2022

LEDet: localization estimation detector with data augmentation for ship detection based on unmanned surface vehicle.

Yang Zhou, Jingling Lv, Yueying Wang, Chang Liu, Songyi Zhong, Guozhu Tan, Jiacheng Sun

Int. J. Intell. Robotics Appl., 2022

Why Are Conditional Generative Models Better Than Unconditional Ones?

Fan Bao, Chongxuan Li, Jiacheng Sun, Jun Zhu

CoRR, 2022

Improved OOD Generalization via Conditional Invariant Regularizer.

Mingyang Yi, Ruoyu Wang, Jiacheng Sun, Zhenguo Li, Zhi-Ming Ma

CoRR, 2022

Estimating the Optimal Covariance with Imperfect Mean in Diffusion Probabilistic Models.

Fan Bao, Chongxuan Li, Jiacheng Sun, Jun Zhu, Bo Zhang

Proceedings of the International Conference on Machine Learning, 2022

Rethinking Adversarial Transferability from a Data Distribution Perspective.

Yao Zhu, Jiacheng Sun, Zhenguo Li

Proceedings of the Tenth International Conference on Learning Representations, 2022

Nonlinear ICA Using Volume-Preserving Transformations.

Xiaojiang Yang, Yi Wang, Jiacheng Sun, Xing Zhang, Shifeng Zhang, Zhenguo Li, Junchi Yan

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

Layer-Parallel Training of Residual Networks with Auxiliary-Variable Networks.

Qi Sun, Hexin Dong, Zewei Chen, Jiacheng Sun, Zhenguo Li, Bin Dong

CoRR, 2021

Towards Understanding the Generative Capability of Adversarially Robust Classifiers.

Yao Zhu, Jiacheng Ma, Jiacheng Sun, Zewei Chen, Rongxin Jiang, Zhenguo Li

CoRR, 2021

Improved OOD Generalization via Adversarial Training and Pre-training.

Mingyang Yi, Lu Hou, Jiacheng Sun, Lifeng Shang, Xin Jiang, Qun Liu, Zhi-Ming Ma

CoRR, 2021

Improved OOD Generalization via Adversarial Training and Pretraing.

Mingyang Yi, Lu Hou, Jiacheng Sun, Lifeng Shang, Xin Jiang, Qun Liu, Zhiming Ma

Proceedings of the 38th International Conference on Machine Learning, 2021

Research on SIDO Converter and Its Power Decoupling Control Strategy.

Xinyue Zhang, Jiacheng Sun, Xiaohua Wu, Xuanlyu Wu, Wenli Yao

Proceedings of the 22nd IEEE International Conference on Industrial Technology, 2021

A Reinforcement Learning-Based Model for Human MicroRNA-Disease Association Prediction.

Linqian Cui, You Lu, Qiming Fu, Jiacheng Sun, Xiao Xu, Yijie Ding, Hongjie Wu

Proceedings of the Intelligent Computing Theories and Application, 2021

Towards Understanding the Generative Capability of Adversarially Robust Classifiers.

Yao Zhu, Jiacheng Ma, Jiacheng Sun, Zewei Chen, Rongxin Jiang, Yaowu Chen, Zhenguo Li

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020

Batch Group Normalization.

Xiao-Yun Zhou, Jiacheng Sun, Nanyang Ye, Xu Lan, Qijun Luo, Bo-Lin Lai, Pedro M. Esperança, Guang-Zhong Yang, Zhenguo Li

CoRR, 2020

Penalty and Augmented Lagrangian Methods for Layer-parallel Training of Residual Networks.

Qi Sun, Hexing Dong, Zewei Chen, Weizhen Dian, Jiacheng Sun, Yitong Sun, Zhenguo Li, Bin Dong

CoRR, 2020

Coulomb Autoencoders.

Emanuele Sansone, Hafiz Tiomoko Ali, Jiacheng Sun

Proceedings of the ECAI 2020 - 24th European Conference on Artificial Intelligence, 29 August-8 September 2020, Santiago de Compostela, Spain, August 29 - September 8, 2020, 2020

New Interpretations of Normalization Methods in Deep Learning.

Jiacheng Sun, Xiangyong Cao, Hanwen Liang, Weiran Huang, Zewei Chen, Zhenguo Li

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

DARTS+: Improved Differentiable Architecture Search with Early Stopping.

Hanwen Liang, Shifeng Zhang, Jiacheng Sun, Xingqiu He, Weiran Huang, Kechen Zhuang, Zhenguo Li

CoRR, 2019

All-pass Filers Based Active Damping for LCL Filters with Converter Current Feedback Control.

Jiacheng Sun, Wenli Yao, Xiaobin Zhang, Xinyue Zhang, Yongheng Yang

Proceedings of the IECON 2019, 2019

2015

AR-Technology-Based Locationing System for Interactive Content.

Satoshi Saga, Ryota Oki, Shusuke Kawagoe, Wanjia Zheng, Jiacheng Sun

Proceedings of the HCI International 2015 - Posters' Extended Abstracts, 2015