Guande He

25 papers A* 7B 1Journal 17
YearRankTypeTitle / Venue / Authors
2026 J jnl
Causal Forcing: Autoregressive Diffusion Distillation Done Right for High-Quality Real-Time Interactive Video Generation.
CoRR
Hongzhou Zhu, Min Zhao, Guande He, Hang Su, Chongxuan Li, Jun Zhu
2026 J jnl
Causality in Video Diffusers is Separable from Denoising.
CoRR
Xingjian Bai, Guande He, Zhengqi Li, Eli Shechtman, Xun Huang, Zongze Wu
2025 A* conf
Diffusion Bridge Implicit Models.
ICLR
Kaiwen Zheng, Guande He, Jianfei Chen, Fan Bao, Jun Zhu
2025 A* conf
Direct Discriminative Optimization: Your Likelihood-Based Visual Generative Model is Secretly a GAN Discriminator.
ICML
Kaiwen Zheng, Yongxin Chen, Huayu Chen, Guande He, Ming-Yu Liu, Jun Zhu, Qinsheng Zhang
2025 J jnl
Direct Discriminative Optimization: Your Likelihood-Based Visual Generative Model is Secretly a GAN Discriminator.
CoRR
Kaiwen Zheng, Yongxin Chen, Huayu Chen, Guande He, Ming-Yu Liu, Jun Zhu, Qinsheng Zhang
2025 A* conf
Elucidating the Preconditioning in Consistency Distillation.
ICLR
Kaiwen Zheng, Guande He, Jianfei Chen, Fan Bao, Jun Zhu
2025 J jnl
Elucidating the Preconditioning in Consistency Distillation.
CoRR
Kaiwen Zheng, Guande He, Jianfei Chen, Fan Bao, Jun Zhu
2025 A* conf
RIFLEx: A Free Lunch for Length Extrapolation in Video Diffusion Transformers.
ICML
Min Zhao, Guande He, Yixiao Chen, Hongzhou Zhu, Chongxuan Li, Jun Zhu
2025 J jnl
RIFLEx: A Free Lunch for Length Extrapolation in Video Diffusion Transformers.
CoRR
Min Zhao, Guande He, Yixiao Chen, Hongzhou Zhu, Chongxuan Li, Jun Zhu
2025 J jnl
Score Distillation of Flow Matching Models.
CoRR
Mingyuan Zhou, Yi Gu, Huangjie Zheng, Liangchen Song, Guande He, Yizhe Zhang, Wenze Hu, Yinfei Yang
2025 J jnl
Self Forcing: Bridging the Train-Test Gap in Autoregressive Video Diffusion.
CoRR
Xun Huang, Zhengqi Li, Guande He, Mingyuan Zhou, Eli Shechtman
2025 J jnl
UltraViCo: Breaking Extrapolation Limits in Video Diffusion Transformers.
CoRR
Min Zhao, Hongzhou Zhu, Yingze Wang, Bokai Yan, Jintao Zhang, Guande He, Ling Yang, Chongxuan Li, Jun Zhu
2025 B conf
Unveiling Uncertainty: A Deep Dive into Calibration and Performance of Multimodal Large Language Models.
COLING
Zijun Chen, Wenbo Hu, Guande He, Zhijie Deng, Zheng Zhang, Richang Hong
2024 A* conf
Consistency Diffusion Bridge Models.
NeurIPS
Guande He, Kaiwen Zheng, Jianfei Chen, Fan Bao, Jun Zhu
2024 J jnl
Consistency Diffusion Bridge Models.
CoRR
Guande He, Kaiwen Zheng, Jianfei Chen, Fan Bao, Jun Zhu
2024 J jnl
Diffusion Bridge Implicit Models.
CoRR
Kaiwen Zheng, Guande He, Jianfei Chen, Fan Bao, Jun Zhu
2024 J jnl
Exploring Aleatoric Uncertainty in Object Detection via Vision Foundation Models.
CoRR
Peng Cui, Guande He, Dan Zhang, Zhijie Deng, Yinpeng Dong, Jun Zhu
2024 A* conf
Noise Contrastive Alignment of Language Models with Explicit Rewards.
NeurIPS
Huayu Chen, Guande He, Lifan Yuan, Ganqu Cui, Hang Su, Jun Zhu
2024 J jnl
Noise Contrastive Alignment of Language Models with Explicit Rewards.
CoRR
Huayu Chen, Guande He, Hang Su, Jun Zhu
2024 J jnl
Unveiling Uncertainty: A Deep Dive into Calibration and Performance of Multimodal Large Language Models.
CoRR
Zijun Chen, Wenbo Hu, Guande He, Zhijie Deng, Zheng Zhang, Richang Hong
2024 J jnl
Vidu: a Highly Consistent, Dynamic and Skilled Text-to-Video Generator with Diffusion Models.
CoRR
Fan Bao, Chendong Xiang, Gang Yue, Guande He, Hongzhou Zhu, Kaiwen Zheng, Min Zhao, Shilong Liu, Yaole Wang, Jun Zhu
2023 J jnl
Investigating Uncertainty Calibration of Aligned Language Models under the Multiple-Choice Setting.
CoRR
Guande He, Peng Cui, Jianfei Chen, Wenbo Hu, Jun Zhu
2023 A* conf
Preserving Pre-trained Features Helps Calibrate Fine-tuned Language Models.
ICLR
Guande He, Jianfei Chen, Jun Zhu
2023 J jnl
Preserving Pre-trained Features Helps Calibrate Fine-tuned Language Models.
CoRR
Guande He, Jianfei Chen, Jun Zhu
2023 J jnl
Schrodinger Bridges Beat Diffusion Models on Text-to-Speech Synthesis.
CoRR
Zehua Chen, Guande He, Kaiwen Zheng, Xu Tan, Jun Zhu