Chang Yu

26 papers A* 7Journal 17Unranked 2
YearRankTypeTitle / Venue / Authors
2026 A* conf
MergeDNA: Context-Aware Genome Modeling with Dynamic Tokenization Through Token Merging.
AAAI
Siyuan Li, Kai Yu, Anna Wang, Zicheng Liu, Chang Yu, Jingbo Zhou, Qirong Yang, Yucheng Guo, Xiaoming Zhang, Stan Z. Li
2026 J jnl
The Trinity of Consistency as a Defining Principle for General World Models.
CoRR
Jingxuan Wei, Siyuan Li, Yuhang Xu, Zheng Sun, Junjie Jiang, Hexuan Jin, Caijun Jia, Honghao He, Xinglong Xu, Xi Bai, Chang Yu, Yumou Liu, Junnan Zhu, Xuanhe Zhou, Jintao Chen, Xiaobin Hu, Shancheng Pang, Bihui Yu, Ran He, Zhen Lei, Stan Z. Li, Conghui He, Shuicheng Yan, Cheng Tan
2026 A* conf
VecFormer: Towards Efficient and Generalizable Graph Transformer with Graph Token Attention.
WWW
Jingbo Zhou, Jun Xia, Siyuan Li, Yunfan Liu, Wenjun Wang, Yufei Huang, Changxi Chi, Mutian Hong, Zhuoli Ouyang, Shu Wang, Zhongqi Wang, Xingyu Wu, Chang Yu, Stan Z. Li
2026 J jnl
VecFormer: Towards Efficient and Generalizable Graph Transformer with Graph Token Attention.
CoRR
Jingbo Zhou, Jun Xia, Siyuan Li, Yunfan Liu, Wenjun Wang, Yufei Huang, Changxi Chi, Mutian Hong, Zhuoli Ouyang, Shu Wang, Zhongqi Wang, Xingyu Wu, Chang Yu, Stan Z. Li
2026 J jnl
VitaMol: Lightweight molecular modality expansion in discrete space for multi-task transfer learning.
Pattern Recognit.
Yunfan Liu, Zhifeng Gao, Lirong Wu, Jingbo Zhou, Tongyue Xu, Cheng Tan, Yufei Huang, Changxi Chi, Chang Yu, Stan Z. Li
2025 A* conf
DaCapo: Score Distillation as Stacked Bridge for Fast and High-quality 3D Editing.
CVPR
Yufei Huang, Bangyan Liao, Yuqi Hu, Haitao Lin, Lirong Wu, Siyuan Li, Cheng Tan, Zicheng Liu, Yunfan Liu, Zelin Zang, Chang Yu, Zhen Lei
2025 A* conf
GRAPE: Heterogeneous Graph Representation Learning for Genetic Perturbation with Coding and Non-Coding Biotype.
IJCAI
Changxi Chi, Jun Xia, Jingbo Zhou, Jiabei Cheng, Chang Yu, Stan Z. Li
2025 J jnl
GRAPE: Heterogeneous Graph Representation Learning for Genetic Perturbation with Coding and Non-Coding Biotype.
CoRR
Changxi Chi, Jun Xia, Jingbo Zhou, Jiabei Cheng, Chang Yu, Stan Z. Li
2025 J jnl
Hierarchical Quantized Diffusion Based Tree Generation Method for Hierarchical Representation and Lineage Analysis.
CoRR
Zelin Zang, Wenzhe Li, Fei Chen, Yongjie Xu, Chang Yu, Zhen Lei, Stan Z. Li
2025 J jnl
Life-Code: Central Dogma Modeling with Multi-Omics Sequence Unification.
CoRR
Zicheng Liu, Siyuan Li, Zhiyuan Chen, Lei Xin, Fang Wu, Chang Yu, Qirong Yang, Yucheng Guo, Yujie Yang, Stan Z. Li
2025 J jnl
MergeDNA: Context-aware Genome Modeling with Dynamic Tokenization through Token Merging.
CoRR
Siyuan Li, Kai Yu, Anna Wang, Zicheng Liu, Chang Yu, Jingbo Zhou, Qirong Yang, Yucheng Guo, Xiaoming Zhang, Stan Z. Li
2025 A* conf
MergeVQ: A Unified Framework for Visual Generation and Representation with Disentangled Token Merging and Quantization.
CVPR
Siyuan Li, Luyuan Zhang, Zedong Wang, Juanxi Tian, Cheng Tan, Zicheng Liu, Chang Yu, Qingsong Xie, Haonan Lu, Haoqian Wang, Zhen Lei
2025 J jnl
MergeVQ: A Unified Framework for Visual Generation and Representation with Disentangled Token Merging and Quantization.
CoRR
Siyuan Li, Luyuan Zhang, Zedong Wang, Juanxi Tian, Cheng Tan, Zicheng Liu, Chang Yu, Qingsong Xie, Haonan Lu, Haoqian Wang, Zhen Lei
2025 J jnl
Unlasting: Unpaired Single-Cell Multi-Perturbation Estimation by Dual Conditional Diffusion Implicit Bridges.
CoRR
Changxi Chi, Jun Xia, Yufei Huang, Jingbo Zhou, Siyuan Li, Yunfan Liu, Chang Yu, Stan Z. Li
2024 J jnl
A Survey on Mixup Augmentations and Beyond.
CoRR
Xin Jin, Hongyu Zhu, Siyuan Li, Zedong Wang, Zicheng Liu, Chang Yu, Huafeng Qin, Stan Z. Li
2024 J jnl
Revisiting Marr in Face: The Building of 2D-2.5D-3D Representations in Deep Neural Networks.
CoRR
Xiangyu Zhu, Chang Yu, Jiankuo Zhao, Zhaoxiang Zhang, Stan Z. Li, Zhen Lei
2024 J jnl
Seek for Incantations: Towards Accurate Text-to-Image Diffusion Synthesis through Prompt Engineering.
CoRR
Chang Yu, Junran Peng, Xiangyu Zhu, Zhaoxiang Zhang, Qi Tian, Zhen Lei
2023 J jnl
Beyond 3DMM: Learning to Capture High-Fidelity 3D Face Shape.
IEEE Trans. Pattern Anal. Mach. Intell.
Xiangyu Zhu, Chang Yu, Di Huang, Zhen Lei, Hao Wang, Stan Z. Li
2023 A* conf
Graphics Capsule: Learning Hierarchical 3D Face Representations from 2D Images.
CVPR
Chang Yu, Xiangyu Zhu, Xiaomei Zhang, Zhaoxiang Zhang, Zhen Lei
2023 J jnl
Graphics Capsule: Learning Hierarchical 3D Face Representations from 2D Images.
CoRR
Chang Yu, Xiangyu Zhu, Xiaomei Zhang, Zhaoxiang Zhang, Zhen Lei
2022 J jnl
Beyond 3DMM: Learning to Capture High-fidelity 3D Face Shape.
CoRR
Xiangyu Zhu, Chang Yu, Di Huang, Zhen Lei, Hao Wang, Stan Z. Li
2022 — conf
Contrastive and Consistent Learning for Unsupervised Human Parsing.
CCBR
Xiaomei Zhang, Feng Pan, Ke Xiang, Xiangyu Zhu, Chang Yu, Zidu Wang, Zhen Lei
2022 A* conf
HP-Capsule: Unsupervised Face Part Discovery by Hierarchical Parsing Capsule Network.
CVPR
Chang Yu, Xiangyu Zhu, Xiaomei Zhang, Zidu Wang, Zhaoxiang Zhang, Zhen Lei
2022 J jnl
HP-Capsule: Unsupervised Face Part Discovery by Hierarchical Parsing Capsule Network.
CoRR
Chang Yu, Xiangyu Zhu, Xiaomei Zhang, Zidu Wang, Zhaoxiang Zhang, Zhen Lei
2020 — conf
Beyond 3DMM Space: Towards Fine-Grained 3D Face Reconstruction.
ECCV (8)
Xiangyu Zhu, Fan Yang, Di Huang, Chang Yu, Hao Wang, Jianzhu Guo, Zhen Lei, Stan Z. Li
2020 J jnl
Out-of-Distribution Detection for Reliable Face Recognition.
IEEE Signal Process. Lett.
Chang Yu, Xiangyu Zhu, Zhen Lei, Stan Z. Li