Tang, Jiasheng

18 publications

ICLR 2026 Flow Along the $k$-Amplitude for Generative Modeling Weitao Du, Jiasheng Tang, Shuning Chang, Yu Rong, Fan Wang, Shengchao Liu

ICLR 2026 Lumos-1: On Autoregressive Video Generation with Discrete Diffusion 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

ICLR 2026 RAPID$^3$: Tri-Level Reinforced Acceleration Policies for Diffusion Transformer Wangbo Zhao, Yizeng Han, Zhiwei Tang, Jiasheng Tang, Pengfei Zhou, Kai Wang, Bohan Zhuang, Zhangyang Wang, Fan Wang, Yang You

CVPR 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

ICLR 2025 Dynamic Diffusion Transformer Wangbo Zhao, Yizeng Han, Jiasheng Tang, Kai Wang, Yibing Song, Gao Huang, Fan Wang, Yang You

NeurIPS 2025 FPSAttention: Training-Aware FP8 and Sparsity Co-Design for Fast Video Diffusion Akide Liu, Zeyu Zhang, Zhexin Li, Xuehai Bai, Yuanjie Xing, Yizeng Han, Jiasheng Tang, Jichao Wu, Mingyang Yang, Weihua Chen, Jiahao He, Yuanyu He, Fan Wang, Gholamreza Haffari, Bohan Zhuang

ICLRW 2025 Flow Along the K-Amplitude for Generative Modeling Weitao Du, Shuning Chang, Jiasheng Tang, Yu Rong, Fan Wang, Shengchao Liu

ICML 2025 Inference-Time Alignment of Diffusion Models with Direct Noise Optimization Zhiwei Tang, Jiangweizhi Peng, Jiasheng Tang, Mingyi Hong, Fan Wang, Tsung-Hui Chang

NeurIPS 2025 Poison as Cure: Visual Noise for Mitigating Object Hallucinations in LVMs Kejia Zhang, Keda Tao, Jiasheng Tang, Huan Wang

NeurIPS 2025 SparseDiT: Token Sparsification for Efficient Diffusion Transformer Shuning Chang, Pichao Wang, Jiasheng Tang, Fan Wang, Yi Yang

ICML 2024 Accelerating Parallel Sampling of Diffusion Models Zhiwei Tang, Jiasheng Tang, Hao Luo, Fan Wang, Tsung-Hui Chang

NeurIPS 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

AAAI 2024 ShapeBoost: Boosting Human Shape Estimation with Part-Based Parameterization and Clothing-Preserving Augmentation Siyuan Bian, Jiefeng Li, Jiasheng Tang, Cewu Lu

ICMLW 2024 Tuning-Free Alignment of Diffusion Models with Direct Noise Optimization Zhiwei Tang, Jiangweizhi Peng, Jiasheng Tang, Mingyi Hong, Fan Wang, Tsung-Hui Chang

CVPR 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

CVPRW 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

AAAI 2019 Robust Optimization over Multiple Domains Qi Qian, Shenghuo Zhu, Jiasheng Tang, Rong Jin, Baigui Sun, Hao Li

CVPR 2018 Large-Scale Distance Metric Learning with Uncertainty Qi Qian, Jiasheng Tang, Hao Li, Shenghuo Zhu, Rong Jin