Research
My current research focuses on Multimodal Large Language Models (MLLMs), specifically revolutionizing reinforcement learning for the alignment of unified models and continuously pushing the boundaries of their reasoning and generative ability to unlock full potential in complex scenarios, including OmniVerifier (ICLR'26 Oral), HermesFlow (NeurIPS'25), MMaDA (NeurIPS'25), and Seed1.5-VL .
Previously, my research centered on text-to-image generation, with a particular emphasis on investigating the capabilities of diffusion models under complex and compositional prompts, including IterComp (ICLR'25) and RealCompo (NeurIPS'24).
News
[May. 2026] OmniVerifier-M1 is accepted by ICML 2026 .
[May. 2026] I propose OmniVerifier-M1 , advancing multimodal verifier with symbolic meta-verification.
[Jan. 2026] OmniVerifier is accepted by ICLR 2026 (Oral Paper, Top 1%) .
[Dec. 2025] We release Seed1.8 , a generalized agentic model in real-world scenarios.
[Oct. 2025] I propose OmniVerifier , a universal verifier for generalist multimodal foundation models.
[Sep. 2025] Three papers about reinforcement learning and MLLMs are accepted by NeurIPS 2025 , including HermesFlow , MMaDA , and PeRL .
[Aug. 2025] RPF-Net is accepted by Pattern Recognition .
[May. 2025] We release Seed1.5-VL , a series of state-of-the-art vision-language models.
[Feb. 2025] I started as a research intern at ByteDance Seed , focusing on MLLM Post-training.
[Jan. 2025] IterComp is accepted by ICLR 2025 .
[Nov. 2024] I gave a talk at TechBeat about compositional text-to-image generation.
[Oct. 2024] I propose IterComp , leveraging iterative RLHF to achieve fast and realistic text-to-image generation.
[Sep. 2024] RealCompo is accepted by NeurIPS 2024 .
[Feb. 2024] I propose RealCompo , achieving the balance of compositionality and realism in controllable text-to-image generation.
[Sep. 2023] Qualified to be exempted from Tsinghua University for postgraduate studies.
[May. 2023] Check out our recent work, RPF-Net.
Seed1.8 Model Card: Towards Generalized Real-World Agency
Bytedance Seed: ...Xinchen Zhang (Contributor), ...
Technical Report
Project Page / Preprint
Seed1.5-VL Technical Report
Bytedance Seed: ...Xinchen Zhang (Contributor), ...
Technical Report
Project Page / Preprint
Publications
(* denotes equal contribution.)
OmniVerifier-M1: Multimodal Meta-Verifier with Explicit Structured Recalibration
Xinchen Zhang , Bowei Liu, Jiale Liu, Chufan Shi, Yizhen Zhang, Junhong Liu, Youliang Zhang, Zhiheng Li, Yujiu Yang, Ling Yang
ICML, 2026
Preprint / Code
Generative Universal Verifier as Multimodal Meta-Reasoner
Xinchen Zhang , Xiaoying Zhang, Youbin Wu, Yanbin Cao, Renrui Zhang, Ruihang Chu, Ling Yang, Yujiu Yang, Guang Shi
ICLR, 2026 (Oral Paper, Top 1%)
Preprint / Code / Checkpoint / Benchmark
HermesFlow: Seamlessly Closing the Gap in Multimodal Understanding and Generation
Ling Yang*, Xinchen Zhang* , Ye Tian, Chenming Shang, Minghao Xu, Wentao Zhang, Bin Cui
NeurIPS , 2025
Preprint / Code / Checkpoints
IterComp: Iterative Composition-Aware Feedback Learning from Model Gallery for Text-to-Image Generation
Xinchen Zhang , Ling Yang, Guohao Li, Yaqi Cai, Jiake Xie, Yong Tang, Yujiu Yang, Mengdi Wang, Bin Cui
ICLR 2025
Preprint / Code / Checkpoints (Over 3.3W downloads)
RealCompo: Balancing Realism and Compositionality Improves Text-to-Image Diffusion Models
Xinchen Zhang , Ling Yang, Yaqi Cai, Zhaochen Yu, Kaini Wang, Jiake Xie, Ye Tian, Minkai Xu, Yong Tang, Yujiu Yang, Bin Cui
NeurIPS 2024
Project page / Preprint / Code
MMaDA: Multimodal Large Diffusion Language Models
Ling Yang, Ye Tian, Bowen Li, Xinchen Zhang , Ke Shen, Yunhai Tong, Mengdi Wang
NeurIPS , 2025
Preprint / Code / Checkpoints
HEAR: High-frequency Enhanced Autoregressive Modeling for Identity-Preserving Image Generation
Shiyi Zhang*, Xinchen Zhang* , Youliang Zhang, Yongxin Xiao, Xiu Li, Jian Song, Yujiu Yang
Under Review
SparseAR: Not All Visual Tokens Are Crucial in Autoregressive Image Model Training
Ling Yang*, Zhaochen Yu*, Xinchen Zhang* , Peng Cao, Yujiu Yang, Bin Cui, Shuicheng Yan
Under Review
PeRL: Permutation-Enhanced Reinforcement Learning for Interleaved Vision-Language Reasoning
Yizhen Zhang, Yang Ding, Shuoshuo Zhang, Xinchen Zhang , Haoling Li, Zhong-zhi Li, Peijie Wang, Jie Wu, Lei Ji, Yelong Shen, Yujiu Yang, Yeyun Gong
NeurIPS , 2025
Preprint / Code
Diffusion-Sharpening: Fine-tuning Diffusion Models with Denoising Trajectory Sharpening
Ye Tian, Ling Yang, Xinchen Zhang , Yunhai Tong, Mengdi Wang, Bin Cui
arXiv, 2025
Preprint / Code
Recurrent Progressive Fusion-based Learning for Multi-source Remote Sensing Image Classification
Xinchen Zhang , Hao Zhu, Xiaotong Li, Biao Hou, Wenhao Zhao, Xiaoyu Yi, Wenping Ma, Licheng Jiao
Pattern Recognition
Paper / Code
Services
Conference Reviewer:
International Conference on Computer Vision (ICCV) 2025
International Conference on Machine Learning (ICML) 2025, 2026
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2025, 2026
International Conference on Learning Representations (ICLR) 2025, 2026
Conference on Neural Information Processing Systems (NeurIPS) 2025
Journal Reviewer:
International Journal of Computer Vision (IJCV)
Talks
IterComp, RealCompo: Towards Compositional Text-to-Image Generation, TechBeat , 2024
Honors & Awards
Special Prize Scholarship, 2022
First Prize Scholarship, 2021
First Prize, The Chinese Mathematics Competitions (CMC), 2021
First Prize, China Undergraduate Mathematical Contest in Modeling (CUMCM), 2021
First Prize (Meritorious Winner), International Mathematical Contest in Modeling (MCM/ICM), 2022