Zhizhou Sha

According to our database, Zhizhou Sha authored at least 24 papers between 2023 and 2026.

Collaborative distances:

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

2026

Large language models perceive cities through a culturally uneven baseline.

Rong Zhao, Wanqi Liu, Zhizhou Sha, Nanxi Su, Yecheng Zhang

CoRR, April, 2026

MEMO: Memory-Augmented Model Context Optimization for Robust Multi-Turn Multi-Agent LLM Games.

Yunfei Xie, Kevin Wang, Bobby Cheng, Jianzhu Yao, Zhizhou Sha, Alexander Duffy, Yihan Xi, Hongyuan Mei, Cheston Tan, Chen Wei, Pramod Viswanath, Zhangyang Wang

CoRR, March, 2026

UrbanAlign: Post-hoc Semantic Calibration for VLM-Human Preference Alignment.

Yecheng Zhang, Rong Zhao, Zhizhou Sha, Yong Li, Lei Wang, Ce Hou, Wen Ji, Hao Huang, Yunshan Wan, Jian Yu, Junhao Xia, Yuru Zhang, Chunlei Shi

CoRR, February, 2026

2025

The Path Not Taken: RLVR Provably Learns Off the Principals.

Hanqing Zhu, Zhenyu Zhang, Hanxian Huang, DiJia Su, Zechun Liu, Jiawei Zhao, Igor Fedorov, Hamed Pirsiavash, Zhizhou Sha, Jinwon Lee, David Z. Pan, Zhangyang Wang, Yuandong Tian, Kai Sheng Tai

CoRR, November, 2025

Discriminator-Free Direct Preference Optimization for Video Diffusion.

Haoran Cheng, Qide Dong, Liang Peng, Zhizhou Sha, Weiguo Feng, Jinghui Xie, Zhao Song, Shilei Wen, Xiaofei He, Boxi Wu

CoRR, April, 2025

HOFAR: High-Order Augmentation of Flow Autoregressive Transformers.

Yingyu Liang, Zhizhou Sha, Zhenmei Shi, Zhao Song, Mingda Wan

CoRR, March, 2025

On Computational Limits of FlowAR Models: Expressivity and Efficiency.

Chengyue Gong, Yekun Ke, Xiaoyu Li, Yingyu Liang, Zhizhou Sha, Zhenmei Shi, Zhao Song

CoRR, February, 2025

Force Matching with Relativistic Constraints: A Physics-Inspired Approach to Stable and Efficient Generative Modeling.

Yang Cao, Bo Chen, Xiaoyu Li, Yingyu Liang, Zhizhou Sha, Zhenmei Shi, Zhao Song, Mingda Wan

CoRR, February, 2025

DPBloomfilter: Securing Bloom Filters with Differential Privacy.

Yekun Ke, Yingyu Liang, Zhizhou Sha, Zhenmei Shi, Zhao Song

CoRR, February, 2025

High-Order Matching for One-Step Shortcut Diffusion Models.

Bo Chen, Chengyue Gong, Xiaoyu Li, Yingyu Liang, Zhizhou Sha, Zhenmei Shi, Zhao Song, Mingda Wan

CoRR, February, 2025

RichSpace: Enriching Text-to-Video Prompt Space via Text Embedding Interpolation.

Yuefan Cao, Chengyue Gong, Xiaoyu Li, Yingyu Liang, Zhizhou Sha, Zhenmei Shi, Zhao Song

CoRR, January, 2025

On Computational Limits and Provably Efficient Criteria of Visual Autoregressive Models: A Fine-Grained Complexity Analysis.

Yekun Ke, Xiaoyu Li, Yingyu Liang, Zhizhou Sha, Zhenmei Shi, Zhao Song

CoRR, January, 2025

Differential Privacy Mechanisms in Neural Tangent Kernel Regression.

Jiuxiang Gu, Yingyu Liang, Zhizhou Sha, Zhenmei Shi, Zhao Song

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2025

NRFlow: Towards Noise-Robust Generative Modeling via High-Order Mechanism.

Bo Chen, Chengyue Gong, Xiaoyu Li, Yingyu Liang, Zhizhou Sha, Zhenmei Shi, Zhao Song, Mingda Wan, Xugang Ye

Proceedings of the Conference on Uncertainty in Artificial Intelligence, 2025

Dissecting Submission Limit in Desk-Rejections: A Mathematical Analysis of Fairness in AI Conference Policies.

Yuefan Cao, Xiaoyu Li, Yingyu Liang, Zhizhou Sha, Zhenmei Shi, Zhao Song, Jiahao Zhang

Proceedings of the Forty-second International Conference on Machine Learning, 2025

Unraveling the Smoothness Properties of Diffusion Models: A Gaussian Mixture Perspective.

Yingyu Liang, Zhizhou Sha, Zhenmei Shi, Zhao Song, Mingda Wan, Yufa Zhou

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

HSR-Enhanced Sparse Attention Acceleration.

Bo Chen, Yingyu Liang, Zhizhou Sha, Zhenmei Shi, Zhao Song

Proceedings of the Conference on Parsimony and Learning, 2025

Force Matching with Relativistic Constraints: A Physics-Inspired Approach to Stable and Efficient Generative Modeling.

Yang Cao, Bo Chen, Xiaoyu Li, Yingyu Liang, Zhizhou Sha, Zhenmei Shi, Zhao Song, Mingda Wan

Proceedings of the 34th ACM International Conference on Information and Knowledge Management, 2025

Looped ReLU MLPs May Be All You Need as Practical Programmable Computers.

Yingyu Liang, Zhizhou Sha, Zhenmei Shi, Zhao Song, Yufa Zhou

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2025

2024

Multi-Layer Transformers Gradient Can be Approximated in Almost Linear Time.

Yingyu Liang, Zhizhou Sha, Zhenmei Shi, Zhao Song, Yufa Zhou

CoRR, 2024

OmniControlNet: Dual-stage Integration for Conditional Image Generation.

Yilin Wang, Haiyang Xu, Xiang Zhang, Zeyuan Chen, Zhizhou Sha, Zirui Wang, Zhuowen Tu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

TokenCompose: Text-to-Image Diffusion with Token-Level Supervision.

Zirui Wang, Zhizhou Sha, Zheng Ding, Yilin Wang, Zhuowen Tu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

TokenCompose: Grounding Diffusion with Token-level Supervision.

Zirui Wang, Zhizhou Sha, Zheng Ding, Yilin Wang, Zhuowen Tu

CoRR, 2023

Dolfin: Diffusion Layout Transformers without Autoencoder.

Yilin Wang, Zeyuan Chen, Liangjun Zhong, Zheng Ding, Zhizhou Sha, Zhuowen Tu

CoRR, 2023