Guande He

According to our database, Guande He authored at least 18 papers between 2023 and 2026.

Collaborative distances:

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

2026

Causality in Video Diffusers is Separable from Denoising.

Xingjian Bai, Guande He, Zhengqi Li, Eli Shechtman, Xun Huang, Zongze Wu

CoRR, February, 2026

Causal Forcing: Autoregressive Diffusion Distillation Done Right for High-Quality Real-Time Interactive Video Generation.

Hongzhou Zhu, Min Zhao, Guande He, Hang Su, Chongxuan Li, Jun Zhu

CoRR, February, 2026

2025

UltraViCo: Breaking Extrapolation Limits in Video Diffusion Transformers.

Min Zhao, Hongzhou Zhu, Yingze Wang, Bokai Yan, Jintao Zhang, Guande He, Ling Yang, Chongxuan Li, Jun Zhu

CoRR, November, 2025

Score Distillation of Flow Matching Models.

Mingyuan Zhou, Yi Gu, Huangjie Zheng, Liangchen Song, Guande He, Yizhe Zhang, Wenze Hu, Yinfei Yang

CoRR, September, 2025

Self Forcing: Bridging the Train-Test Gap in Autoregressive Video Diffusion.

Xun Huang, Zhengqi Li, Guande He, Mingyuan Zhou, Eli Shechtman

CoRR, June, 2025

Direct Discriminative Optimization: Your Likelihood-Based Visual Generative Model is Secretly a GAN Discriminator.

Kaiwen Zheng, Yongxin Chen, Huayu Chen, Guande He, Ming-Yu Liu, Jun Zhu, Qinsheng Zhang

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

RIFLEx: A Free Lunch for Length Extrapolation in Video Diffusion Transformers.

Min Zhao, Guande He, Yixiao Chen, Hongzhou Zhu, Chongxuan Li, Jun Zhu

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

Diffusion Bridge Implicit Models.

Kaiwen Zheng, Guande He, Jianfei Chen, Fan Bao, Jun Zhu

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Elucidating the Preconditioning in Consistency Distillation.

Kaiwen Zheng, Guande He, Jianfei Chen, Fan Bao, Jun Zhu

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Unveiling Uncertainty: A Deep Dive into Calibration and Performance of Multimodal Large Language Models.

Zijun Chen, Wenbo Hu, Guande He, Zhijie Deng, Zheng Zhang, Richang Hong

Proceedings of the 31st International Conference on Computational Linguistics, 2025

2024

Exploring Aleatoric Uncertainty in Object Detection via Vision Foundation Models.

Peng Cui, Guande He, Dan Zhang, Zhijie Deng, Yinpeng Dong, Jun Zhu

CoRR, 2024

Vidu: a Highly Consistent, Dynamic and Skilled Text-to-Video Generator with Diffusion Models.

Fan Bao, Chendong Xiang, Gang Yue, Guande He, Hongzhou Zhu, Kaiwen Zheng, Min Zhao, Shilong Liu, Yaole Wang, Jun Zhu

CoRR, 2024

Noise Contrastive Alignment of Language Models with Explicit Rewards.

Huayu Chen, Guande He, Hang Su, Jun Zhu

CoRR, 2024

Consistency Diffusion Bridge Models.

Guande He, Kaiwen Zheng, Jianfei Chen, Fan Bao, Jun Zhu

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

Noise Contrastive Alignment of Language Models with Explicit Rewards.

Huayu Chen, Guande He, Lifan Yuan, Ganqu Cui, Hang Su, Jun Zhu

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

2023

Schrodinger Bridges Beat Diffusion Models on Text-to-Speech Synthesis.

Zehua Chen, Guande He, Kaiwen Zheng, Xu Tan, Jun Zhu

CoRR, 2023

Investigating Uncertainty Calibration of Aligned Language Models under the Multiple-Choice Setting.

Guande He, Peng Cui, Jianfei Chen, Wenbo Hu, Jun Zhu

CoRR, 2023

Preserving Pre-trained Features Helps Calibrate Fine-tuned Language Models.

Guande He, Jianfei Chen, Jun Zhu

Proceedings of the Eleventh International Conference on Learning Representations, 2023