Jiasheng Tang

According to our database, Jiasheng Tang authored at least 20 papers between 2018 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

TARS: MinMax Token-Adaptive Preference Strategy for Hallucination Reduction in MLLMs.

Kejia Zhang, Keda Tao, Zhiming Luo, Chang Liu, Jiasheng Tang, Huan Wang

CoRR, July, 2025

Lumos-1: On Autoregressive Video Generation from a Unified Model Perspective.

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

CoRR, July, 2025

FPSAttention: Training-Aware FP8 and Sparsity Co-Design for Fast Video Diffusion.

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

CoRR, June, 2025

Flow Along the K-Amplitude for Generative Modeling.

Weitao Du, Shuning Chang, Jiasheng Tang, Yu Rong, Fan Wang, Shengchao Liu

CoRR, April, 2025

DyDiT++: Dynamic Diffusion Transformers for Efficient Visual Generation.

Wangbo Zhao, Yizeng Han, Jiasheng Tang, Kai Wang, Hao Luo, Yibing Song, Gao Huang, Fan Wang, Yang You

CoRR, April, 2025

Poison as Cure: Visual Noise for Mitigating Object Hallucinations in LVMs.

Kejia Zhang, Keda Tao, Jiasheng Tang, Huan Wang

CoRR, January, 2025

Dynamic Diffusion Transformer.

Wangbo Zhao, Yizeng Han, Jiasheng Tang, Kai Wang, Yibing Song, Gao Huang, Fan Wang, Yang You

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

A Stitch in Time Saves Nine: Small VLM is a Precise Guidance for Accelerating Large VLMs.

Wangbo Zhao, Yizeng Han, Jiasheng Tang, Zhikai Li, Yibing Song, Kai Wang, Zhangyang Wang, Yang You

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024

FlexDiT: Dynamic Token Density Control for Diffusion Transformer.

Shuning Chang, Pichao Wang, Jiasheng Tang, Yi Yang

CoRR, 2024

Tuning-Free Alignment of Diffusion Models with Direct Noise Optimization.

Zhiwei Tang, Jiangweizhi Peng, Jiasheng Tang, Mingyi Hong, Fan Wang, Tsung-Hui Chang

CoRR, 2024

Dynamic Tuning Towards Parameter and Inference Efficiency for ViT Adaptation.

Wangbo Zhao, Jiasheng Tang, Yizeng Han, Yibing Song, Kai Wang, Gao Huang, Fan Wang, Yang You

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Accelerating Parallel Sampling of Diffusion Models.

Zhiwei Tang, Jiasheng Tang, Hao Luo, Fan Wang, Tsung-Hui Chang

Proceedings of the Forty-first International Conference on Machine Learning, 2024

ShapeBoost: Boosting Human Shape Estimation with Part-Based Parameterization and Clothing-Preserving Augmentation.

Siyuan Bian, Jiefeng Li, Jiasheng Tang, Cewu Lu

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

High-resolution global mature and young oil palm plantation subclass maps for 2020.

You Xu, Dongjie Fu, Hao Yu, Fenzhen Su, Vincent Lyne, Rong Fan, Bin He, Tingting Pan, Jiasheng Tang

Int. J. Digit. Earth, December, 2023

What Limits the Performance of Local Self-attention?

Jingkai Zhou, Pichao Wang, Jiasheng Tang, Fan Wang, Qiong Liu, Hao Li, Rong Jin

Int. J. Comput. Vis., October, 2023

NIKI: Neural Inverse Kinematics with Invertible Neural Networks for 3D Human Pose and Shape Estimation.

Jiefeng Li, Siyuan Bian, Qi Liu, Jiasheng Tang, Fan Wang, Cewu Lu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2021

1st Place Solution to ECCV-TAO-2020: Detect and Represent Any Object for Tracking.

Fei Du, Bo Xu, Jiasheng Tang, Yuqi Zhang, Fan Wang, Hao Li

CoRR, 2021

City-Scale Multi-Camera Vehicle Tracking Guided by Crossroad Zones.

Chong Liu, Yuqi Zhang, Hao Luo, Jiasheng Tang, Weihua Chen, Xianzhe Xu, Fan Wang, Hao Li, Yi-Dong Shen

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

2019

Robust Optimization over Multiple Domains.

Qi Qian, Shenghuo Zhu, Jiasheng Tang, Rong Jin, Baigui Sun, Hao Li

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Large-Scale Distance Metric Learning With Uncertainty.

Qi Qian, Jiasheng Tang, Hao Li, Shenghuo Zhu, Rong Jin

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018