Jiacheng Sun

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 42

Top Topics

Reinforcement Learning

Diffusion Models

Top Venues

Publications

Hsiang-Wei Huang, Cheng-Yen Yang, Jiacheng Sun, Pyong-Kun Kim, Kwang-Ju Kim, Kyoungoh Lee, Chung-I Huang, Jenq-Neng Hwang
Iterative Scale-Up ExpansionIoU and Deep Features Association for Multi-Object Tracking in Sports. WACV (Workshops) (2024)
Jingyang Ou, Shen Nie, Kaiwen Xue, Fengqi Zhu, Jiacheng Sun, Zhenguo Li, Chongxuan Li
Your Absorbing Discrete Diffusion Secretly Models the Conditional Distributions of Clean Data. CoRR (2024)
Haoyang Mao, Zhenyu Liu, Chan Qiu, Hui Liu, Jiacheng Sun, Jianrong Tan
Subspace Metric-Based Transfer Learning for Spindle Thermal Error Prediction Under Time-Varying Conditions. IEEE Trans. Instrum. Meas. 73 (2024)
Zhiwei Wang, Yunji Wang, Zhongwang Zhang, Zhangchen Zhou, Hui Jin, Tianyang Hu, Jiacheng Sun, Zhenguo Li, Yaoyu Zhang, Zhi-Qin John Xu
Towards Understanding How Transformer Perform Multi-step Reasoning with Matching Operation. CoRR (2024)
Jiajun Ma, Tianyang Hu, Wenjia Wang, Jiacheng Sun
Elucidating the design space of classifier-guided diffusion generation. ICLR (2024)
Weijian Luo, Hao Jiang, Tianyang Hu, Jiacheng Sun, Zhenguo Li, Zhihua Zhang
Training Energy-Based Models with Diffusion Contrastive Divergences. CoRR (2023)
Tianyang Hu, Fei Chen, Haonan Wang, Jiawei Li, Wenjia Wang, Jiacheng Sun, Zhenguo Li
Complexity Matters: Rethinking the Latent Space for Generative Modeling. NeurIPS (2023)
Cheng Wang, Jiacheng Sun, Zhenhua Dong, Jieming Zhu, Zhenguo Li, Ruixuan Li, Rui Zhang
Data-free Knowledge Distillation for Reusing Recommendation Models. RecSys (2023)
Shuchen Xue, Mingyang Yi, Weijian Luo, Shifeng Zhang, Jiacheng Sun, Zhenguo Li, Zhi-Ming Ma
SA-Solver: Stochastic Adams Solver for Fast Sampling of Diffusion Models. NeurIPS (2023)
Weijian Luo, Tianyang Hu, Shifeng Zhang, Jiacheng Sun, Zhenguo Li, Zhihua Zhang
Diff-Instruct: A Universal Approach for Transferring Knowledge From Pre-trained Diffusion Models. NeurIPS (2023)
Cheng Wang, Jiacheng Sun, Zhenhua Dong, Ruixuan Li, Rui Zhang
Gradient Matching for Categorical Data Distillation in CTR Prediction. RecSys (2023)
Shuchen Xue, Mingyang Yi, Weijian Luo, Shifeng Zhang, Jiacheng Sun, Zhenguo Li, Zhi-Ming Ma
SA-Solver: Stochastic Adams Solver for Fast Sampling of Diffusion Models. CoRR (2023)
Zebin You, Yong Zhong, Fan Bao, Jiacheng Sun, Chongxuan Li, Jun Zhu
Diffusion Models and Semi-Supervised Learners Benefit Mutually with Few Labels. CoRR (2023)
Ben Xu, Jiacheng Sun, Yunzhe Wang, Qiming Fu, You Lu
An Intelligent Action Decision Algorithm for Exoskeleton in Edge Networks Environment based on Deep Reinforcement Learning. CBD (2023)
Weijian Luo, Tianyang Hu, Shifeng Zhang, Jiacheng Sun, Zhenguo Li, Zhihua Zhang
Diff-Instruct: A Universal Approach for Transferring Knowledge From Pre-trained Diffusion Models. CoRR (2023)
Mingyang Yi, Jiacheng Sun, Zhenguo Li
On the Generalization of Diffusion Model. CoRR (2023)
Tianyang Hu, Fei Chen, Haonan Wang, Jiawei Li, Wenjia Wang, Jiacheng Sun, Zhenguo Li
Complexity Matters: Rethinking the Latent Space for Generative Modeling. CoRR (2023)
Jiajun Ma, Tianyang Hu, Wenjia Wang, Jiacheng Sun
Elucidating The Design Space of Classifier-Guided Diffusion Generation. CoRR (2023)
Zebin You, Yong Zhong, Fan Bao, Jiacheng Sun, Chongxuan Li, Jun Zhu
Diffusion Models and Semi-Supervised Learners Benefit Mutually with Few Labels. NeurIPS (2023)
Mingyang Yi, Ruoyu Wang, Jiacheng Sun, Zhenguo Li, Zhi-Ming Ma
Breaking Correlation Shift via Conditional Invariant Regularizer. ICLR (2023)
Fan Bao, Chongxuan Li, Jiacheng Sun, Jun Zhu, Bo Zhang
Estimating the Optimal Covariance with Imperfect Mean in Diffusion Probabilistic Models. CoRR (2022)
Xiaojiang Yang, Yi Wang, Jiacheng Sun, Xing Zhang, Shifeng Zhang, Zhenguo Li, Junchi Yan
Nonlinear ICA Using Volume-Preserving Transformations. ICLR (2022)
Yang Zhou, Jingling Lv, Yueying Wang, Chang Liu, Songyi Zhong, Guozhu Tan, Jiacheng Sun
LEDet: localization estimation detector with data augmentation for ship detection based on unmanned surface vehicle. Int. J. Intell. Robotics Appl. 6 (2) (2022)
Fan Bao, Chongxuan Li, Jiacheng Sun, Jun Zhu, Bo Zhang
Estimating the Optimal Covariance with Imperfect Mean in Diffusion Probabilistic Models. ICML (2022)
Yiqiang Wu, Weiping Xiao, Chang Liu, Jiantao Gao, Jiacheng Sun, Guozhu Tan, Xiaomao Li
RE-Det3D: RoI-enhanced 3D object detector. Image Vis. Comput. 121 (2022)
Yao Zhu, Jiacheng Sun, Zhenguo Li
Rethinking Adversarial Transferability from a Data Distribution Perspective. ICLR (2022)
Fan Bao, Chongxuan Li, Jiacheng Sun, Jun Zhu
Why Are Conditional Generative Models Better Than Unconditional Ones? CoRR (2022)
Mingyang Yi, Ruoyu Wang, Jiacheng Sun, Zhenguo Li, Zhi-Ming Ma
Improved OOD Generalization via Conditional Invariant Regularizer. CoRR (2022)
Yao Zhu, Jiacheng Ma, Jiacheng Sun, Zewei Chen, Rongxin Jiang, Zhenguo Li
Towards Understanding the Generative Capability of Adversarially Robust Classifiers. CoRR (2021)
Mingyang Yi, Lu Hou, Jiacheng Sun, Lifeng Shang, Xin Jiang, Qun Liu, Zhiming Ma
Improved OOD Generalization via Adversarial Training and Pretraing. ICML (2021)
Yao Zhu, Jiacheng Ma, Jiacheng Sun, Zewei Chen, Rongxin Jiang, Yaowu Chen, Zhenguo Li
Towards Understanding the Generative Capability of Adversarially Robust Classifiers. ICCV (2021)
Qi Sun, Hexin Dong, Zewei Chen, Jiacheng Sun, Zhenguo Li, Bin Dong
Layer-Parallel Training of Residual Networks with Auxiliary-Variable Networks. CoRR (2021)
Mingyang Yi, Lu Hou, Jiacheng Sun, Lifeng Shang, Xin Jiang, Qun Liu, Zhi-Ming Ma
Improved OOD Generalization via Adversarial Training and Pre-training. CoRR (2021)
Xinyue Zhang, Jiacheng Sun, Xiaohua Wu, Xuanlyu Wu, Wenli Yao
Research on SIDO Converter and Its Power Decoupling Control Strategy. ICIT (2021)
Linqian Cui, You Lu, Qiming Fu, Jiacheng Sun, Xiao Xu, Yijie Ding, Hongjie Wu
A Reinforcement Learning-Based Model for Human MicroRNA-Disease Association Prediction. ICIC (3) (2021)
Jiacheng Sun, Xiangyong Cao, Hanwen Liang, Weiran Huang, Zewei Chen, Zhenguo Li
New Interpretations of Normalization Methods in Deep Learning. AAAI (2020)
Jiacheng Sun, Xiangyong Cao, Hanwen Liang, Weiran Huang, Zewei Chen, Zhenguo Li
New Interpretations of Normalization Methods in Deep Learning. CoRR (2020)
Emanuele Sansone, Hafiz Tiomoko Ali, Jiacheng Sun
Coulomb Autoencoders. ECAI (2020)
Qi Sun, Hexing Dong, Zewei Chen, Weizhen Dian, Jiacheng Sun, Yitong Sun, Zhenguo Li, Bin Dong
Penalty and Augmented Lagrangian Methods for Layer-parallel Training of Residual Networks. CoRR (2020)
Xiao-Yun Zhou, Jiacheng Sun, Nanyang Ye, Xu Lan, Qijun Luo, Bo-Lin Lai, Pedro M. Esperança, Guang-Zhong Yang, Zhenguo Li
Batch Group Normalization. CoRR (2020)
Hanwen Liang, Shifeng Zhang, Jiacheng Sun, Xingqiu He, Weiran Huang, Kechen Zhuang, Zhenguo Li
DARTS+: Improved Differentiable Architecture Search with Early Stopping. CoRR (2019)
Jiacheng Sun, Wenli Yao, Xiaobin Zhang, Xinyue Zhang, Yongheng Yang
All-pass Filers Based Active Damping for LCL Filters with Converter Current Feedback Control. IECON (2019)
Satoshi Saga, Ryota Oki, Shusuke Kawagoe, Wanjia Zheng, Jiacheng Sun
AR-Technology-Based Locationing System for Interactive Content. HCI (28) (2015)