Sun, Jiacheng

23 publications

ICCV 2025 Adding Additional Control to One-Step Diffusion with Joint Distribution Matching Yihong Luo, Tianyang Hu, Yifan Song, Jiacheng Sun, Zhenguo Li, Jing Tang

NeurIPS 2025 FUDOKI: Discrete Flow-Based Unified Understanding and Generation via Kinetic-Optimal Velocities Jin Wang, Yao Lai, Aoxue Li, Shifeng Zhang, Jiacheng Sun, Ning Kang, Chengyue Wu, Zhenguo Li, Ping Luo

ICCV 2025 Learning Few-Step Diffusion Models by Trajectory Distribution Matching Yihong Luo, Tianyang Hu, Jiacheng Sun, Yujun Cai, Jing Tang

NeurIPS 2025 Masked Diffusion Models as Energy Minimization Sitong Chen, Shen Nie, Jiacheng Sun, Zijin Feng, Zhenguo Li, Ji-Rong Wen, Chongxuan Li

CVPR 2025 PolarNeXt: Rethink Instance Segmentation with Polar Representation Jiacheng Sun, Xinghong Zhou, Yiqiang Wu, Bin Zhu, Jiaxuan Lu, Yu Qin, Xiaomao Li

ICML 2025 ProofAug: Efficient Neural Theorem Proving via Fine-Grained Proof Structure Analysis Haoxiong Liu, Jiacheng Sun, Zhenguo Li, Andrew C Yao

CVPR 2025 Towards Transformer-Based Aligned Generation with Self-Coherence Guidance Shulei Wang, Wang Lin, Hai Huang, Hanting Wang, Sihang Cai, WenKang Han, Tao Jin, Jingyuan Chen, Jiacheng Sun, Jieming Zhu, Zhou Zhao

ICLR 2025 Your Absorbing Discrete Diffusion Secretly Models the Conditional Distributions of Clean Data Jingyang Ou, Shen Nie, Kaiwen Xue, Fengqi Zhu, Jiacheng Sun, Zhenguo Li, Chongxuan Li

ICLR 2024 Elucidating the Design Space of Classifier-Guided Diffusion Generation Jiajun Ma, Tianyang Hu, Wenjia Wang, Jiacheng Sun

ECCVW 2024 ToddlerAct: A Toddler Action Recognition Dataset for Gross Motor Development Assessment Hsiang-Wei Huang, Jiacheng Sun, Cheng-Yen Yang, Zhongyu Jiang, Li-Yu Huang, Jenq-Neng Hwang, Yu-Ching Yeh

ICLR 2023 Breaking Correlation Shift via Conditional Invariant Regularizer Mingyang Yi, Ruoyu Wang, Jiacheng Sun, Zhenguo Li, Zhi-Ming Ma

NeurIPS 2023 Complexity Matters: Rethinking the Latent Space for Generative Modeling Tianyang Hu, Fei Chen, Haonan Wang, Jiawei Li, Wenjia Wang, Jiacheng Sun, Zhenguo Li

NeurIPS 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

NeurIPS 2023 Diffusion Models and Semi-Supervised Learners Benefit Mutually with Few Labels Zebin You, Yong Zhong, Fan Bao, Jiacheng Sun, Chongxuan Li, Jun Zhu

NeurIPS 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

ICML 2022 Estimating the Optimal Covariance with Imperfect Mean in Diffusion Probabilistic Models Fan Bao, Chongxuan Li, Jiacheng Sun, Jun Zhu, Bo Zhang

ICLR 2022 Nonlinear ICA Using Volume-Preserving Transformations Xiaojiang Yang, Yi Wang, Jiacheng Sun, Xing Zhang, Shifeng Zhang, Zhenguo Li, Junchi Yan

ICLR 2022 Rethinking Adversarial Transferability from a Data Distribution Perspective Yao Zhu, Jiacheng Sun, Zhenguo Li

NeurIPSW 2022 Why Are Conditional Generative Models Better than Unconditional Ones? Fan Bao, Chongxuan Li, Jiacheng Sun, Jun Zhu

ICML 2021 Improved OOD Generalization via Adversarial Training and Pretraing Mingyang Yi, Lu Hou, Jiacheng Sun, Lifeng Shang, Xin Jiang, Qun Liu, Zhiming Ma

NeurIPSW 2021 Layer-Parallel Training of Residual Networks with Auxiliary Variables Qi Sun, Hexin Dong, Zewei Chen, Weizhen Dian, Jiacheng Sun, Yitong Sun, Zhenguo Li, Bin Dong

ICCV 2021 Towards Understanding the Generative Capability of Adversarially Robust Classifiers Yao Zhu, Jiacheng Ma, Jiacheng Sun, Zewei Chen, Rongxin Jiang, Yaowu Chen, Zhenguo Li

AAAI 2020 New Interpretations of Normalization Methods in Deep Learning Jiacheng Sun, Xiangyong Cao, Hanwen Liang, Weiran Huang, Zewei Chen, Zhenguo Li