Jiasheng Tang

36 papers A* 9Journal 26Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
DyDiT++: Diffusion Transformers With Timestep and Spatial Dynamics for Efficient Visual Generation.
IEEE Trans. Pattern Anal. Mach. Intell.
Wangbo Zhao, Yizeng Han, Jiasheng Tang, Kai Wang, Hao Luo, Yibing Song, Gao Huang, Fan Wang, Yang You
2025 A* conf
A Stitch in Time Saves Nine: Small VLM is a Precise Guidance for Accelerating Large VLMs.
CVPR
Wangbo Zhao, Yizeng Han, Jiasheng Tang, Zhikai Li, Yibing Song, Kai Wang, Zhangyang Wang, Yang You
2025 J jnl
BlockVid: Block Diffusion for High-Quality and Consistent Minute-Long Video Generation.
CoRR
Zeyu Zhang, Shuning Chang, Yuanyu He, Yizeng Han, Jiasheng Tang, Fan Wang, Bohan Zhuang
2025 J jnl
DyDiT++: Dynamic Diffusion Transformers for Efficient Visual Generation.
CoRR
Wangbo Zhao, Yizeng Han, Jiasheng Tang, Kai Wang, Hao Luo, Yibing Song, Gao Huang, Fan Wang, Yang You
2025 A* conf
Dynamic Diffusion Transformer.
ICLR
Wangbo Zhao, Yizeng Han, Jiasheng Tang, Kai Wang, Yibing Song, Gao Huang, Fan Wang, Yang You
2025 J jnl
FPSAttention: Training-Aware FP8 and Sparsity Co-Design for Fast Video Diffusion.
CoRR
Akide Liu, Zeyu Zhang, Zhexin Li, Xuehai Bai, Yizeng Han, Jiasheng Tang, Yuanjie Xing, Jichao Wu, Mingyang Yang, Weihua Chen, Jiahao He, Yuanyu He, Fan Wang, Gholamreza Haffari, Bohan Zhuang
2025 J jnl
Few-Step Distillation for Text-to-Image Generation: A Practical Guide.
CoRR
Yifan Pu, Yizeng Han, Zhiwei Tang, Jiasheng Tang, Fan Wang, Bohan Zhuang, Gao Huang
2025 J jnl
Flow Along the K-Amplitude for Generative Modeling.
CoRR
Weitao Du, Shuning Chang, Jiasheng Tang, Yu Rong, Fan Wang, Shengchao Liu
2025 A* conf
Inference-Time Alignment of Diffusion Models with Direct Noise Optimization.
ICML
Zhiwei Tang, Jiangweizhi Peng, Jiasheng Tang, Mingyi Hong, Fan Wang, Tsung-Hui Chang
2025 J jnl
Inferix: A Block-Diffusion based Next-Generation Inference Engine for World Simulation.
CoRR
Tianyu Feng, Yizeng Han, Jiahao He, Yuanyu He, Xi Lin, Teng Liu, Hanfeng Lu, Jiasheng Tang, Wei Wang, Zhiyuan Wang, Jichao Wu, Mingyang Yang, Yinghao Yu, Zeyu Zhang, Bohan Zhuang
2025 J jnl
Lumos-1: On Autoregressive Video Generation from a Unified Model Perspective.
CoRR
Hangjie Yuan, Weihua Chen, Jun Cen, Hu Yu, Jingyun Liang, Shuning Chang, Zhihui Lin, Tao Feng, Pengwei Liu, Jiazheng Xing, Hao Luo, Jiasheng Tang, Fan Wang, Yi Yang
2025 J jnl
Poison as Cure: Visual Noise for Mitigating Object Hallucinations in LVMs.
CoRR
Kejia Zhang, Keda Tao, Jiasheng Tang, Huan Wang
2025 J jnl
RAPID
CoRR
Wangbo Zhao, Yizeng Han, Zhiwei Tang, Jiasheng Tang, Pengfei Zhou, Kai Wang, Bohan Zhuang, Zhangyang Wang, Fan Wang, Yang You
2025 J jnl
Ship detection in reefs and deep-sea with medium-high resolution images.
Geo spatial Inf. Sci.
Xiaorun Hong, Dongjie Fu, Jiasheng Tang, Vincent Lyne, Ming Luo, Fenzhen Su
2025 J jnl
TARS: MinMax Token-Adaptive Preference Strategy for Hallucination Reduction in MLLMs.
CoRR
Kejia Zhang, Keda Tao, Zhiming Luo, Chang Liu, Jiasheng Tang, Huan Wang
2024 J jnl
A Stitch in Time Saves Nine: Small VLM is a Precise Guidance for Accelerating Large VLMs.
CoRR
Wangbo Zhao, Yizeng Han, Jiasheng Tang, Zhikai Li, Yibing Song, Kai Wang, Zhangyang Wang, Yang You
2024 A* conf
Accelerating Parallel Sampling of Diffusion Models.
ICML
Zhiwei Tang, Jiasheng Tang, Hao Luo, Fan Wang, Tsung-Hui Chang
2024 J jnl
Accelerating Parallel Sampling of Diffusion Models.
CoRR
Zhiwei Tang, Jiasheng Tang, Hao Luo, Fan Wang, Tsung-Hui Chang
2024 J jnl
Dynamic Diffusion Transformer.
CoRR
Wangbo Zhao, Yizeng Han, Jiasheng Tang, Kai Wang, Yibing Song, Gao Huang, Fan Wang, Yang You
2024 A* conf
Dynamic Tuning Towards Parameter and Inference Efficiency for ViT Adaptation.
NeurIPS
Wangbo Zhao, Jiasheng Tang, Yizeng Han, Yibing Song, Kai Wang, Gao Huang, Fan Wang, Yang You
2024 J jnl
Dynamic Tuning Towards Parameter and Inference Efficiency for ViT Adaptation.
CoRR
Wangbo Zhao, Jiasheng Tang, Yizeng Han, Yibing Song, Kai Wang, Gao Huang, Fan Wang, Yang You
2024 J jnl
FlexDiT: Dynamic Token Density Control for Diffusion Transformer.
CoRR
Shuning Chang, Pichao Wang, Jiasheng Tang, Yi Yang
2024 A* conf
ShapeBoost: Boosting Human Shape Estimation with Part-Based Parameterization and Clothing-Preserving Augmentation.
AAAI
Siyuan Bian, Jiefeng Li, Jiasheng Tang, Cewu Lu
2024 J jnl
ShapeBoost: Boosting Human Shape Estimation with Part-Based Parameterization and Clothing-Preserving Augmentation.
CoRR
Siyuan Bian, Jiefeng Li, Jiasheng Tang, Cewu Lu
2024 J jnl
Tuning-Free Alignment of Diffusion Models with Direct Noise Optimization.
CoRR
Zhiwei Tang, Jiangweizhi Peng, Jiasheng Tang, Mingyi Hong, Fan Wang, Tsung-Hui Chang
2023 J jnl
High-resolution global mature and young oil palm plantation subclass maps for 2020.
Int. J. Digit. Earth
You Xu, Dongjie Fu, Hao Yu, Fenzhen Su, Vincent Lyne, Rong Fan, Bin He, Tingting Pan, Jiasheng Tang
2023 A* conf
NIKI: Neural Inverse Kinematics with Invertible Neural Networks for 3D Human Pose and Shape Estimation.
CVPR
Jiefeng Li, Siyuan Bian, Qi Liu, Jiasheng Tang, Fan Wang, Cewu Lu
2023 J jnl
NIKI: Neural Inverse Kinematics with Invertible Neural Networks for 3D Human Pose and Shape Estimation.
CoRR
Jiefeng Li, Siyuan Bian, Qi Liu, Jiasheng Tang, Fan Wang, Cewu Lu
2023 J jnl
What Limits the Performance of Local Self-attention?
Int. J. Comput. Vis.
Jingkai Zhou, Pichao Wang, Jiasheng Tang, Fan Wang, Qiong Liu, Hao Li, Rong Jin
2021 J jnl
1st Place Solution to ECCV-TAO-2020: Detect and Represent Any Object for Tracking.
CoRR
Fei Du, Bo Xu, Jiasheng Tang, Yuqi Zhang, Fan Wang, Hao Li
2021 — conf
City-Scale Multi-Camera Vehicle Tracking Guided by Crossroad Zones.
CVPR Workshops
Chong Liu, Yuqi Zhang, Hao Luo, Jiasheng Tang, Weihua Chen, Xianzhe Xu, Fan Wang, Hao Li, Yi-Dong Shen
2021 J jnl
City-Scale Multi-Camera Vehicle Tracking Guided by Crossroad Zones.
CoRR
Chong Liu, Yuqi Zhang, Hao Luo, Jiasheng Tang, Weihua Chen, Xianzhe Xu, Fan Wang, Hao Li, Yi-Dong Shen
2019 A* conf
Robust Optimization over Multiple Domains.
AAAI
Qi Qian, Shenghuo Zhu, Jiasheng Tang, Rong Jin, Baigui Sun, Hao Li
2018 A* conf
Large-Scale Distance Metric Learning With Uncertainty.
CVPR
Qi Qian, Jiasheng Tang, Hao Li, Shenghuo Zhu, Rong Jin
2018 J jnl
Large-scale Distance Metric Learning with Uncertainty.
CoRR
Qi Qian, Jiasheng Tang, Hao Li, Shenghuo Zhu, Rong Jin
2018 J jnl
Robust Optimization over Multiple Domains.
CoRR
Qi Qian, Shenghuo Zhu, Jiasheng Tang, Rong Jin, Baigui Sun, Hao Li