October 27, 2026 at 7:32 AM
November 3, 2026 at 2:14 PM
October 27, 2026 at 12:14 AM
Wenqing Peng, Michael Boy, Zhi-Song Liu: KPPax: preprocess differentiable kinetic ODE for machine learning in atmospheric chemistry https://arxiv.org/abs/2610.37655 https://arxiv.org/pdf/2610.37655 https://arxiv.org/html/2610.37655
October 29, 2026 at 6:40 AM
Wenqing Peng, Michael Boy, Zhi-Song Liu: KPPax: preprocess differentiable kinetic ODE for machine learning in atmospheric chemistry https://arxiv.org/abs/2610.37655 https://arxiv.org/pdf/2610.37655 https://arxiv.org/html/2610.37655
KPPax: preprocess differentiable kinetic ODE for machine learning in atmospheric chemistry
Wenqing Peng, Michael Boy, Zhi-Song Liu
#arXiv #cs.AI
Wenqing Peng, Michael Boy, Zhi-Song Liu
#arXiv #cs.AI
KPPax: preprocess differentiable kinetic ODE for machine learning in atmospheric chemistry
Atmospheric chemical mechanisms are commonly distributed in the language of the Kinetic PreProcessor (KPP), which generates efficient Fortran or C code but does not fit into the differentiable programming frameworks in which machine-learning models are developed. We present KPPax, a kinetic preproc…
arxiv.org
October 29, 2026 at 7:05 AM
Wenqing Peng, Michael Boy, Zhi-Song Liu: KPPax: preprocess differentiable kinetic ODE for machine learning in atmospheric chemistry https://arxiv.org/abs/2610.37655 https://arxiv.org/pdf/2610.37655 https://arxiv.org/html/2610.37655
October 28, 2026 at 6:40 AM
Wenqing Peng, Michael Boy, Zhi-Song Liu: KPPax: preprocess differentiable kinetic ODE for machine learning in atmospheric chemistry https://arxiv.org/abs/2610.37655 https://arxiv.org/pdf/2610.37655 https://arxiv.org/html/2610.37655
KPPax: preprocess differentiable kinetic ODE for machine learning in atmospheric chemistry
Wenqing Peng, Michael Boy, Zhi-Song Liu
#arXiv #cs.AI
Wenqing Peng, Michael Boy, Zhi-Song Liu
#arXiv #cs.AI
KPPax: preprocess differentiable kinetic ODE for machine learning in atmospheric chemistry
Atmospheric chemical mechanisms are commonly distributed in the language of the Kinetic PreProcessor (KPP), which generates efficient Fortran or C code but does not fit into the differentiable programming frameworks in which machine-learning models are developed. We present KPPax, a kinetic preproc…
arxiv.org
October 29, 2026 at 9:26 AM
Wenqing Wang, Huimin Zeng, Yun Fu: RacerGS: Residual-Autoregressive Context for 3D Gaussian Splatting Compression https://arxiv.org/abs/2610.34263 https://arxiv.org/pdf/2610.34263 https://arxiv.org/html/2610.34263
October 27, 2026 at 6:41 AM
Wenqing Wang, Huimin Zeng, Yun Fu: RacerGS: Residual-Autoregressive Context for 3D Gaussian Splatting Compression https://arxiv.org/abs/2610.34263 https://arxiv.org/pdf/2610.34263 https://arxiv.org/html/2610.34263
October 24, 2026 at 2:14 AM
KPPax: preprocess differentiable kinetic ODE for machine learning in atmospheric chemistry
Wenqing Peng, Michael Boy, Zhi-Song Liu
#arXiv #cs.AI
Wenqing Peng, Michael Boy, Zhi-Song Liu
#arXiv #cs.AI
KPPax: preprocess differentiable kinetic ODE for machine learning in atmospheric chemistry
Atmospheric chemical mechanisms are commonly distributed in the language of the Kinetic PreProcessor (KPP), which generates efficient Fortran or C code but does not fit into the differentiable programming frameworks in which machine-learning models are developed. We present KPPax, a kinetic preproc…
arxiv.org
October 28, 2026 at 9:27 AM
KPPax: preprocess differentiable kinetic ODE for machine learning in atmospheric chemistry
Wenqing Peng, Michael Boy, Zhi-Song Liu
#arXiv #cs.AI
Wenqing Peng, Michael Boy, Zhi-Song Liu
#arXiv #cs.AI
KPPax: preprocess differentiable kinetic ODE for machine learning in atmospheric chemistry
Atmospheric chemical mechanisms are commonly distributed in the language of the Kinetic PreProcessor (KPP), which generates efficient Fortran or C code but does not fit into the differentiable programming frameworks in which machine-learning models are developed. We present KPPax, a kinetic preproc…
arxiv.org
October 28, 2026 at 6:58 AM
Wenxuan Zhu, Bang An, Shuming Liu, Wenqing Cui, Tianqi Xu, Bing Li, Yibo Yang, Peter Wonka, Bernard Ghanem: Self-Distillation for Supervised Fine-Tuning https://arxiv.org/abs/2610.25497 https://arxiv.org/pdf/2610.25497 https://arxiv.org/html/2610.25497
October 21, 2026 at 6:41 AM
Wenxuan Zhu, Bang An, Shuming Liu, Wenqing Cui, Tianqi Xu, Bing Li, Yibo Yang, Peter Wonka, Bernard Ghanem: Self-Distillation for Supervised Fine-Tuning https://arxiv.org/abs/2610.25497 https://arxiv.org/pdf/2610.25497 https://arxiv.org/html/2610.25497
Wenqing Wang, Joonghyuk Shin, Jonathan Tremblay, Chan Hee Song, Yun Fu: Clean Forcing: Drift-Resistant Autoregressive Video Diffusion with a Frozen Base https://arxiv.org/abs/2610.25634 https://arxiv.org/pdf/2610.25634 https://arxiv.org/html/2610.25634
October 20, 2026 at 6:43 AM
Wenqing Wang, Joonghyuk Shin, Jonathan Tremblay, Chan Hee Song, Yun Fu: Clean Forcing: Drift-Resistant Autoregressive Video Diffusion with a Frozen Base https://arxiv.org/abs/2610.25634 https://arxiv.org/pdf/2610.25634 https://arxiv.org/html/2610.25634
Wenxuan Zhu, Bang An, Shuming Liu, Wenqing Cui, Tianqi Xu, Bing Li, Yibo Yang, Peter Wonka, Bernard Ghanem: Self-Distillation for Supervised Fine-Tuning https://arxiv.org/abs/2610.25497 https://arxiv.org/pdf/2610.25497 https://arxiv.org/html/2610.25497
October 20, 2026 at 6:41 AM
Wenxuan Zhu, Bang An, Shuming Liu, Wenqing Cui, Tianqi Xu, Bing Li, Yibo Yang, Peter Wonka, Bernard Ghanem: Self-Distillation for Supervised Fine-Tuning https://arxiv.org/abs/2610.25497 https://arxiv.org/pdf/2610.25497 https://arxiv.org/html/2610.25497
Riding the green rails: Exploring the nexus between high-speed trains, green innovation, and carbon emissions by Chen, Yu & Zhao, Changyi & Chen, Shan & Chen, Wenqing & Wan, Kunyang & Wei, Jia (2023)
IDEAS/RePEc link
to RePEc:eee:energy:v:282:y:2023:i:c:s0360544223023496
ideas.repec.org
October 16, 2026 at 8:00 PM
Riding the green rails: Exploring the nexus between high-speed trains, green innovation, and carbon emissions by Chen, Yu & Zhao, Changyi & Chen, Shan & Chen, Wenqing & Wan, Kunyang & Wei, Jia (2023)
Lingxi Cui, Jinhao Ruan, Wenqing Wei, Guo Yi, Li Rao, Ke Chen, Lidan Shou: EGCForest: Structured Agent Memory Organization for Enterprise Group Chats https://arxiv.org/abs/2610.19836 https://arxiv.org/pdf/2610.19836 https://arxiv.org/html/2610.19836
October 15, 2026 at 6:40 AM
Lingxi Cui, Jinhao Ruan, Wenqing Wei, Guo Yi, Li Rao, Ke Chen, Lidan Shou: EGCForest: Structured Agent Memory Organization for Enterprise Group Chats https://arxiv.org/abs/2610.19836 https://arxiv.org/pdf/2610.19836 https://arxiv.org/html/2610.19836
Wenqing Liu, Xenia Miscouridou, D\'eborah Sulem: Amortized Variational Inference of Latent Intensities from Replicated Point Patterns https://arxiv.org/abs/2610.16669 https://arxiv.org/pdf/2610.16669 https://arxiv.org/html/2610.16669
October 14, 2026 at 7:03 AM
Wenqing Liu, Xenia Miscouridou, D\'eborah Sulem: Amortized Variational Inference of Latent Intensities from Replicated Point Patterns https://arxiv.org/abs/2610.16669 https://arxiv.org/pdf/2610.16669 https://arxiv.org/html/2610.16669
Qi Chen, Peng Zhan, Hongxing Cui, Wenqing Cui, Ibrahim Hoteit: Sensitivity Fidelity Reveals Physical Dependencies Beyond Forecast Accuracy in Deep-Learning Earth-System Models https://arxiv.org/abs/2610.15540 https://arxiv.org/pdf/2610.15540 https://arxiv.org/html/2610.15540
October 14, 2026 at 6:45 AM
Qi Chen, Peng Zhan, Hongxing Cui, Wenqing Cui, Ibrahim Hoteit: Sensitivity Fidelity Reveals Physical Dependencies Beyond Forecast Accuracy in Deep-Learning Earth-System Models https://arxiv.org/abs/2610.15540 https://arxiv.org/pdf/2610.15540 https://arxiv.org/html/2610.15540
Wenqing Tian, Zeyu Zhang, Zhaocheng Liu, Fengwei Liu, Qiang Liu, Liang Wang: PhysEvo: Astra Can Act, Let It https://arxiv.org/abs/2610.08995 https://arxiv.org/pdf/2610.08995 https://arxiv.org/html/2610.08995
October 8, 2026 at 6:44 AM
Wenqing Tian, Zeyu Zhang, Zhaocheng Liu, Fengwei Liu, Qiang Liu, Liang Wang: PhysEvo: Astra Can Act, Let It https://arxiv.org/abs/2610.08995 https://arxiv.org/pdf/2610.08995 https://arxiv.org/html/2610.08995
October 7, 2026 at 4:14 AM
Work by Qiuyu Zhang, Yifan Wang, Chengqiao Jiang, Xueqin Zhou, Wenqing Zhong and Guanghui Yu at South-Central Minzu University.
#LifeSciences #Reproducibility #PlantScience
#LifeSciences #Reproducibility #PlantScience
October 5, 2026 at 9:58 AM
Work by Qiuyu Zhang, Yifan Wang, Chengqiao Jiang, Xueqin Zhou, Wenqing Zhong and Guanghui Yu at South-Central Minzu University.
#LifeSciences #Reproducibility #PlantScience
#LifeSciences #Reproducibility #PlantScience
October 2, 2026 at 7:14 PM