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Jiacheng Sun
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2020 – today
- 2024
- [j3]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: 1-11 (2024) - [c21]Jiajun Ma, Tianyang Hu, Wenjia Wang, Jiacheng Sun:
Elucidating the design space of classifier-guided diffusion generation. ICLR 2024 - [c20]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: 163-172 - [i19]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 abs/2405.15302 (2024) - [i18]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 abs/2406.03736 (2024) - 2023
- [c19]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: 51-56 - [c18]Mingyang Yi, Ruoyu Wang, Jiacheng Sun, Zhenguo Li, Zhi-Ming Ma:
Breaking Correlation Shift via Conditional Invariant Regularizer. ICLR 2023 - [c17]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 - [c16]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 - [c15]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 - [c14]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 - [c13]Cheng Wang
, Jiacheng Sun
, Zhenhua Dong
, Ruixuan Li
, Rui Zhang
:
Gradient Matching for Categorical Data Distillation in CTR Prediction. RecSys 2023: 161-170 - [c12]Cheng Wang
, Jiacheng Sun
, Zhenhua Dong
, Jieming Zhu
, Zhenguo Li
, Ruixuan Li
, Rui Zhang
:
Data-free Knowledge Distillation for Reusing Recommendation Models. RecSys 2023: 386-395 - [i17]Zebin You, Yong Zhong, Fan Bao, Jiacheng Sun, Chongxuan Li, Jun Zhu:
Diffusion Models and Semi-Supervised Learners Benefit Mutually with Few Labels. CoRR abs/2302.10586 (2023) - [i16]Mingyang Yi, Jiacheng Sun, Zhenguo Li:
On the Generalization of Diffusion Model. CoRR abs/2305.14712 (2023) - [i15]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 abs/2305.18455 (2023) - [i14]Weijian Luo, Hao Jiang, Tianyang Hu, Jiacheng Sun, Zhenguo Li, Zhihua Zhang:
Training Energy-Based Models with Diffusion Contrastive Divergences. CoRR abs/2307.01668 (2023) - [i13]Tianyang Hu, Fei Chen, Haonan Wang, Jiawei Li, Wenjia Wang, Jiacheng Sun, Zhenguo Li:
Complexity Matters: Rethinking the Latent Space for Generative Modeling. CoRR abs/2307.08283 (2023) - [i12]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 abs/2309.05019 (2023) - [i11]Jiajun Ma, Tianyang Hu, Wenjia Wang, Jiacheng Sun:
Elucidating The Design Space of Classifier-Guided Diffusion Generation. CoRR abs/2310.11311 (2023) - 2022
- [j2]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): 216-230 (2022) - [j1]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: 104430 (2022) - [c11]Xiaojiang Yang, Yi Wang, Jiacheng Sun, Xing Zhang, Shifeng Zhang, Zhenguo Li, Junchi Yan:
Nonlinear ICA Using Volume-Preserving Transformations. ICLR 2022 - [c10]Yao Zhu, Jiacheng Sun, Zhenguo Li:
Rethinking Adversarial Transferability from a Data Distribution Perspective. ICLR 2022 - [c9]Fan Bao, Chongxuan Li, Jiacheng Sun, Jun Zhu, Bo Zhang:
Estimating the Optimal Covariance with Imperfect Mean in Diffusion Probabilistic Models. ICML 2022: 1555-1584 - [i10]Fan Bao, Chongxuan Li, Jiacheng Sun, Jun Zhu, Bo Zhang:
Estimating the Optimal Covariance with Imperfect Mean in Diffusion Probabilistic Models. CoRR abs/2206.07309 (2022) - [i9]Mingyang Yi, Ruoyu Wang, Jiacheng Sun, Zhenguo Li, Zhi-Ming Ma:
Improved OOD Generalization via Conditional Invariant Regularizer. CoRR abs/2207.06687 (2022) - [i8]Fan Bao, Chongxuan Li, Jiacheng Sun, Jun Zhu:
Why Are Conditional Generative Models Better Than Unconditional Ones? CoRR abs/2212.00362 (2022) - 2021
- [c8]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: 7708-7717 - [c7]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: 222-230 - [c6]Xinyue Zhang, Jiacheng Sun, Xiaohua Wu, Xuanlyu Wu, Wenli Yao:
Research on SIDO Converter and Its Power Decoupling Control Strategy. ICIT 2021: 476-481 - [c5]Mingyang Yi, Lu Hou, Jiacheng Sun, Lifeng Shang, Xin Jiang, Qun Liu, Zhiming Ma:
Improved OOD Generalization via Adversarial Training and Pretraing. ICML 2021: 11987-11997 - [i7]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 abs/2105.11144 (2021) - [i6]Yao Zhu, Jiacheng Ma, Jiacheng Sun, Zewei Chen, Rongxin Jiang, Zhenguo Li:
Towards Understanding the Generative Capability of Adversarially Robust Classifiers. CoRR abs/2108.09093 (2021) - [i5]Qi Sun, Hexin Dong, Zewei Chen, Jiacheng Sun, Zhenguo Li, Bin Dong:
Layer-Parallel Training of Residual Networks with Auxiliary-Variable Networks. CoRR abs/2112.05387 (2021) - 2020
- [c4]Jiacheng Sun, Xiangyong Cao, Hanwen Liang, Weiran Huang, Zewei Chen, Zhenguo Li:
New Interpretations of Normalization Methods in Deep Learning. AAAI 2020: 5875-5882 - [c3]Emanuele Sansone, Hafiz Tiomoko Ali, Jiacheng Sun:
Coulomb Autoencoders. ECAI 2020: 1443-1450 - [i4]Jiacheng Sun, Xiangyong Cao, Hanwen Liang
, Weiran Huang, Zewei Chen, Zhenguo Li:
New Interpretations of Normalization Methods in Deep Learning. CoRR abs/2006.09104 (2020) - [i3]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 abs/2009.01462 (2020) - [i2]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 abs/2012.02782 (2020)
2010 – 2019
- 2019
- [c2]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: 3375-3380 - [i1]Hanwen Liang
, Shifeng Zhang, Jiacheng Sun, Xingqiu He, Weiran Huang, Kechen Zhuang, Zhenguo Li:
DARTS+: Improved Differentiable Architecture Search with Early Stopping. CoRR abs/1909.06035 (2019) - 2015
- [c1]Satoshi Saga, Ryota Oki, Shusuke Kawagoe, Wanjia Zheng, Jiacheng Sun:
AR-Technology-Based Locationing System for Interactive Content. HCI (28) 2015: 519-524
Coauthor Index
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last updated on 2024-08-08 20:13 CEST by the dblp team
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