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2020 – today
- 2026
[i7]Fahim Tajwar, Guanning Zeng, Yueer Zhou, Yuda Song, Daman Arora, Yiding Jiang, Jeff G. Schneider, Ruslan Salakhutdinov, Haiwen Feng, Andrea Zanette:
Maximum Likelihood Reinforcement Learning. CoRR abs/2602.02710 (2026)- 2025
- [j1]Hong Chen
, Xin Wang, Guanning Zeng, Yipeng Zhang, Yuwei Zhou, Feilin Han, Yaofei Wu, Wenwu Zhu:
VideoDreamer: Customized Multi-Subject Text-to-Video Generation With Disen-Mix Finetuning on Language-Video Foundation Models. IEEE Trans. Multim. 27: 2875-2885 (2025) - [i6]Guanning Zeng, Xiang Zhang, Zirui Wang, Haiyang Xu, Zeyuan Chen, Bingnan Li, Zhuowen Tu:
YOLO-Count: Differentiable Object Counting for Text-to-Image Generation. CoRR abs/2508.00728 (2025) - [i5]Guanning Zeng, Zhaoyi Zhou, Daman Arora, Andrea Zanette:
Shrinking the Variance: Shrinkage Baselines for Reinforcement Learning with Verifiable Rewards. CoRR abs/2511.03710 (2025) - [i4]Jingchu Gai, Guanning Zeng, Huaqing Zhang, Aditi Raghunathan:
Differential Smoothing Mitigates Sharpening and Improves LLM Reasoning. CoRR abs/2511.19942 (2025) - 2024
- [c2]Xiaopei Zhu, Peiyang Xu, Guanning Zeng, Yinpeng Dong, Xiaolin Hu:
Natural Language Induced Adversarial Images. ACM Multimedia 2024: 10872-10881 - [c1]Wufei Ma, Guofeng Zhang, Qihao Liu, Guanning Zeng, Adam Kortylewski, Yaoyao Liu, Alan L. Yuille:
ImageNet3D: Towards General-Purpose Object-Level 3D Understanding. NeurIPS 2024 - [i3]Wufei Ma, Guanning Zeng, Guofeng Zhang, Qihao Liu, Letian Zhang, Adam Kortylewski, Yaoyao Liu, Alan L. Yuille:
ImageNet3D: Towards General-Purpose Object-Level 3D Understanding. CoRR abs/2406.09613 (2024) - [i2]Xiaopei Zhu, Peiyang Xu, Guanning Zeng, Yingpeng Dong, Xiaolin Hu:
Natural Language Induced Adversarial Images. CoRR abs/2410.08620 (2024) - 2023
- [i1]Hong Chen, Xin Wang, Guanning Zeng, Yipeng Zhang, Yuwei Zhou, Feilin Han, Wenwu Zhu:
VideoDreamer: Customized Multi-Subject Text-to-Video Generation with Disen-Mix Finetuning. CoRR abs/2311.00990 (2023)
Coauthor Index
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