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Chongxuan Li

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On Evaluating Adversarial Robustness of Large Vision-Language Models

May 26, 2023
Yunqing Zhao, Tianyu Pang, Chao Du, Xiao Yang, Chongxuan Li, Ngai-Man Cheung, Min Lin

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ProlificDreamer: High-Fidelity and Diverse Text-to-3D Generation with Variational Score Distillation

May 25, 2023
Zhengyi Wang, Cheng Lu, Yikai Wang, Fan Bao, Chongxuan Li, Hang Su, Jun Zhu

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Towards Understanding Generalization of Macro-AUC in Multi-label Learning

May 09, 2023
Guoqiang Wu, Chongxuan Li, Yilong Yin

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Contrastive Energy Prediction for Exact Energy-Guided Diffusion Sampling in Offline Reinforcement Learning

Apr 25, 2023
Cheng Lu, Huayu Chen, Jianfei Chen, Hang Su, Chongxuan Li, Jun Zhu

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A Closer Look at Parameter-Efficient Tuning in Diffusion Models

Apr 12, 2023
Chendong Xiang, Fan Bao, Chongxuan Li, Hang Su, Jun Zhu

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One Transformer Fits All Distributions in Multi-Modal Diffusion at Scale

Mar 12, 2023
Fan Bao, Shen Nie, Kaiwen Xue, Chongxuan Li, Shi Pu, Yaole Wang, Gang Yue, Yue Cao, Hang Su, Jun Zhu

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Diffusion Models and Semi-Supervised Learners Benefit Mutually with Few Labels

Feb 21, 2023
Zebin You, Yong Zhong, Fan Bao, Jiacheng Sun, Chongxuan Li, Jun Zhu

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Revisiting Discriminative vs. Generative Classifiers: Theory and Implications

Feb 05, 2023
Chenyu Zheng, Guoqiang Wu, Fan Bao, Yue Cao, Chongxuan Li, Jun Zhu

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Why Are Conditional Generative Models Better Than Unconditional Ones?

Dec 01, 2022
Fan Bao, Chongxuan Li, Jiacheng Sun, Jun Zhu

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