Zhen-Guo Li

Most-cited papers

Dream 7B: Diffusion Large Language Models
Jiacheng Ye, Zhihui Xie, Lin Zheng, Jia-Hui Gao +4 more
2025arXiv.org574 citations
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Your Absorbing Discrete Diffusion Secretly Models the Conditional Distributions of Clean Data
Jingyang Ou, Shen Nie, Kaiwen Xue, Fengqi Zhu +3 more
2024International Conference on Learning Representations433 citations
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PixArt-Σ: Weak-to-Strong Training of Diffusion Transformer for 4K Text-to-Image Generation
Jun-Song Chen, Chongjian Ge, En-Ze Xie, Yue Wu +6 more
2024European Conference on Computer Vision379 citations
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MagicDrive: Street View Generation with Diverse 3D Geometry Control
Ruiyuan Gao, Kai Chen, En-Ze Xie, Lan-Qing Hong +3 more
2023International Conference on Learning Representations319 citations Open access
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T2I-CompBench++: An Enhanced and Comprehensive Benchmark for Compositional Text-to-Image Generation
Kai-Yi Huang, Chengqi Duan, Kaiyue Sun, En-Ze Xie +2 more
2023IEEE Transactions on Pattern Analysis and Machine Intelligence302 citations Open access
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DDP: Diffusion Model for Dense Visual Prediction
Yuanfeng Ji, Zhe Chen, En-Ze Xie, Lan-Qing Hong +5 more
2023IEEE International Conference on Computer Vision258 citations
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G-LLaVA: Solving Geometric Problem with Multi-Modal Large Language Model
Jia-Hui Gao, Ren-Jie Pi, Jipeng Zhang, Jiacheng Ye +7 more
2023International Conference on Learning Representations236 citations
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T2V-CompBench: A Comprehensive Benchmark for Compositional Text-to-video Generation
Kaiyue Sun, Kai-Yi Huang, Xian Liu, Yue Wu +3 more
2024Computer Vision and Pattern Recognition220 citations Open access
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PIXART-δ: Fast and Controllable Image Generation with Latent Consistency Models
Jun-Song Chen, Yue Wu, Simian Luo, En-Ze Xie +4 more
2024arXiv.org163 citations
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DiT-3D: Exploring Plain Diffusion Transformers for 3D Shape Generation
Shentong Mo, En-Ze Xie, Ruihang Chu, Lewei Yao +3 more
2023Neural Information Processing Systems163 citations Open access
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Eyes Closed, Safety On: Protecting Multimodal LLMs via Image-to-Text Transformation
Yun-Hao Gou, Kai Chen, Zhili Liu, Lan-Qing Hong +5 more
2024European Conference on Computer Vision162 citations
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Beyond Autoregression: Discrete Diffusion for Complex Reasoning and Planning
Jiacheng Ye, Jia-Hui Gao, Shansan Gong, Lin Zheng +3 more
2024International Conference on Learning Representations154 citations
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A Survey of Reasoning with Foundation Models: Concepts, Methodologies, and Outlook
Jiankai Sun, Chuan-Yang Zheng, En-Ze Xie, Zhengying Liu +30 more
2025ACM Computing Surveys145 citations Open access
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DetCLIPv2: Scalable Open-Vocabulary Object Detection Pre-training via Word-Region Alignment
Lewei Yao, Jian-Hua Han, Xiao-Dan Liang, Danqian Xu +3 more
2023Computer Vision and Pattern Recognition143 citations Open access
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UniTR: A Unified and Efficient Multi-Modal Transformer for Bird’s-Eye-View Representation
Haiyang Wang, Hao Tang, Shaoshuai Shi, Aoxue Li +3 more
2023IEEE International Conference on Computer Vision139 citations Open access
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Mixture of Cluster-Conditional LoRA Experts for Vision-Language Instruction Tuning
Yun-Hao Gou, Zhili Liu, Kai Chen, Lan-Qing Hong +5 more
2023IEEE Transactions on Image Processing129 citations Open access
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MagicDrive-V2: High-Resolution Long Video Generation for Autonomous Driving with Adaptive Control
Rui-Yuan Gao, Kai Chen, Xiao Bo, Lan-Qing Hong +2 more
2024IEEE International Conference on Computer Vision116 citations Open access
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DiffFit: Unlocking Transferability of Large Diffusion Models via Simple Parameter-Efficient Fine-Tuning
En-Ze Xie, Lewei Yao, Han Shi, Zhili Liu +4 more
2023IEEE International Conference on Computer Vision109 citations Open access
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Automated Evaluation of Large Vision-Language Models on Self-Driving Corner Cases
Kai Chen, Yan-Ze Li, Wenhua Zhang, Yan-Xin Liu +9 more
2024IEEE Workshop/Winter Conference on Applications of Computer Vision108 citations Open access
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Accelerating Diffusion Sampling with Optimized Time Steps
Shuchen Xue, Zhaoqiang Liu, Fei Chen, Shi-Feng Zhang +3 more
2024Computer Vision and Pattern Recognition94 citations Open access
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DiM: Diffusion Mamba for Efficient High-Resolution Image Synthesis
Yao Teng, Yue Wu, Han Shi, Xue-Fei Ning +4 more
2024arXiv.org91 citations
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CustomVideo: Customizing Text-to-Video Generation With Multiple Subjects
Zhao Wang, Aoxue Li, En-Ze Xie, Lingting Zhu +3 more
2024IEEE transactions on multimedia91 citations Open access
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Dream-Coder 7B: An Open Diffusion Language Model for Code
Zhihui Xie, Jiacheng Ye, Lin Zheng, Jia-Hui Gao +7 more
2025arXiv.org89 citations
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MagicDrive3D: Controllable 3D Generation for Any-View Rendering in Street Scenes
Rui-Yuan Gao, Kai Chen, Zhi-Hao Li, Lan-Qing Hong +2 more
2024IEEE Workshop/Winter Conference on Applications of Computer Vision88 citations Open access
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DetCLIPv3: Towards Versatile Generative Open-Vocabulary Object Detection
Lewei Yao, Ren-Jie Pi, Jian-Hua Han, Xiao-Dan Liang +4 more
2024Computer Vision and Pattern Recognition74 citations Open access
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Accelerating Auto-regressive Text-to-Image Generation with Training-free Speculative Jacobi Decoding
Yao Teng, Han Shi, Xian Liu, Xue-Fei Ning +4 more
2024International Conference on Learning Representations69 citations
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EMOVA: Empowering Language Models to See, Hear and Speak with Vivid Emotions
Kai Chen, Yun-Hao Gou, Runhu Huang, Zhili Liu +27 more
2024Computer Vision and Pattern Recognition64 citations Open access
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Mixed Autoencoder for Self-Supervised Visual Representation Learning
Kai Chen, Zhili Liu, Lan-Qing Hong, Hang Xu +2 more
2023Computer Vision and Pattern Recognition64 citations Open access
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Towards Understanding the Working Mechanism of Text-to-Image Diffusion Model
Mingyang Yi, Aoxue Li, Yi Xin, Zhen-Guo Li
2024Neural Information Processing Systems58 citations
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MUSTARD: Mastering Uniform Synthesis of Theorem and Proof Data
Yinya Huang, Xiaohan Lin, Zhengying Liu, Qingxing Cao +5 more
2024International Conference on Learning Representations56 citations
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SepLLM: Accelerate Large Language Models by Compressing One Segment into One Separator
Guoxuan Chen, Han Shi, Jiawei Li, Yi-Hang Gao +6 more
2024International Conference on Machine Learning55 citations
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Diffusion of Thought: Chain-of-Thought Reasoning in Diffusion Language Models
Jiacheng Ye, Shansan Gong, Liheng Chen, Lin Zheng +7 more
2024Neural Information Processing Systems50 citations
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FUDOKI: Discrete Flow-based Unified Understanding and Generation via Kinetic-Optimal Velocities
Jin Wang, Yao Lai, Aoxue Li, Shi-Feng Zhang +5 more
2025Neural Information Processing Systems49 citations
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DetDiffusion: Synergizing Generative and Perceptive Models for Enhanced Data Generation and Perception
Yi-Bo Wang, Rui-Yuan Gao, Kai Chen, Kaiqiang Zhou +7 more
2024Computer Vision and Pattern Recognition49 citations Open access
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Make-A-Protagonist: Generic Video Editing with An Ensemble of Experts
Yuyang Zhao, En-Ze Xie, Lan-Qing Hong, Zhen-Guo Li +1 more
2023arXiv.org45 citations Open access
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DAPE: Data-Adaptive Positional Encoding for Length Extrapolation
Chuan-Yang Zheng, Yi-Hang Gao, Han Shi, Minbin Huang +7 more
2024Neural Information Processing Systems43 citations Open access
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DreamOn: Diffusion Language Models For Code Infilling Beyond Fixed-size Canvas
Zi-Rui Wu, Lin Zheng, Zhihui Xie, Jiacheng Ye +7 more
2026arXiv.org41 citations
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Proving Theorems Recursively
Haiming Wang, Huajian Xin, Zhengying Liu, Wenda Li +7 more
2024Neural Information Processing Systems37 citations
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CoCA: Regaining Safety-awareness of Multimodal Large Language Models with Constitutional Calibration
Jia-Hui Gao, Ren-Jie Pi, Tianyang Han, Han Wu +4 more
2024arXiv.org37 citations
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Task-customized Masked Autoencoder via Mixture of Cluster-conditional Experts
Zhili Liu, Kai Chen, Jian-Hua Han, Lan-Qing Hong +3 more
2024International Conference on Learning Representations36 citations
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How Numerical Precision Affects Arithmetical Reasoning Capabilities of LLMs
Guhao Feng, Kai Yang, Yun-Tian Gu, Xinyue Ai +5 more
2024Annual Meeting of the Association for Computational Linguistics30 citations Open access
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Diffusion of Thoughts: Chain-of-Thought Reasoning in Diffusion Language Models
Jiacheng Ye, Shansan Gong, Liheng Chen, Lin Zheng +6 more
2024arXiv.org28 citations
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How Do LLMs Acquire New Knowledge? A Knowledge Circuits Perspective on Continual Pre-Training
Yixin Ou, Yunzhi Yao, Ningyu Zhang, Hui Jin +4 more
2025Annual Meeting of the Association for Computational Linguistics27 citations
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Implicit Concept Removal of Diffusion Models
Zhili Liu, Kai Chen, Yifan Zhang, Jian-Hua Han +5 more
2023European Conference on Computer Vision27 citations Open access
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MetaBEV: Solving Sensor Failures for BEV Detection and Map Segmentation
Chongjian Ge, Jun-Song Chen, En-Ze Xie, Zhongdao Wang +4 more
2023arXiv.org27 citations Open access
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Drag-A-Video: Non-rigid Video Editing with Point-based Interaction
Yao Teng, En-Ze Xie, Yue Wu, Hao-Yu Han +2 more
2023arXiv.org26 citations
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Any-Order GPT as Masked Diffusion Model: Decoupling Formulation and Architecture
Shuchen Xue, Tianyu Xie, Tianyang Hu, Zi-Jin Feng +4 more
2025arXiv.org21 citations
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Mathesis: Towards Formal Theorem Proving from Natural Languages
Xuejun Yu, Jian-Yuan Zhong, Zi-Jin Feng, Pengyi Zhai +16 more
2025arXiv.org21 citations
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Geom-Erasing: Geometry-Driven Removal of Implicit Concept in Diffusion Models
Zhili Liu, Kai Chen, Yifan Zhang, Jian-Hua Han +5 more
2023arXiv.org19 citations Open access
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The Surprising Effectiveness of Skip-Tuning in Diffusion Sampling
Jiajun Ma, Shuchen Xue, Tianyang Hu, Wenjia Wang +4 more
2024International Conference on Machine Learning18 citations
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