Siqi Yan

According to our database, Siqi Yan authored at least 13 papers between 2018 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2026

Sparse Forcing: Native Trainable Sparse Attention for Real-time Autoregressive Diffusion Video Generation.

Boxun Xu, Yuming Du, Zichang Liu, Siyu Yang, Ziyang Jiang, Siqi Yan, Rajasi Saha, Albert Pumarola, Wenchen Wang, Peng Li

CoRR, April, 2026

MoEBlaze: Breaking the Memory Wall for Efficient MoE Training on Modern GPUs.

Jiyuan Zhang, Yining Liu, Siqi Yan, Lisen Deng, Jennifer Cao, Shuqi Yang, Min Ni, Bi Xue, Shen Li

CoRR, January, 2026

2025

DECK: Experiences on Delta Checkpointing for Industrial Recommendation Systems.

Xin Gao, Sibasish Acharya, Sihui Han, Yongxiong Ren, Yanli Zhao, Liang Luo, Chucheng Wang, Pradeep Fernando, Saurabh Mishra, Siqi Yan, Yicong Du, Elzbieta Krepska, Intaik Park, Min Ni, Qunshu Zhang, Shen Li

Proc. VLDB Endow., August, 2025

Hyperspectral Open-Set Classification via Frequency-Domain Rotation Enhancement and Multibranch Adversarial Routing.

Haibin Wu, Siqi Yan, Chengyang Liu, Aili Wang, Minhui Wang, Liang Yu

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2025

CTPMSN: Enhancing Multimodal Remote Sensing Classification With Composite Text Prompts.

Aili Wang, Shiyu Dai, Haibin Wu, Haoran Lv, Siqi Yan, Minhui Wang

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2025

2024

Hybrid Loss and 3D Convolutional Multilayer Perceptron for Hyperspectral Images Classification with Noisy Labels.

Chengyang Liu, Haoran Lv, Siqi Yan, Yuji Iwahori, Haibin Wu, Aili Wang

Proceedings of the 2024 6th International Conference on Video, Signal and Image Processing, 2024

Two-Stage Optimization for Efficient V2G Coordination in Distribution Power System.

Pengchao Tian, Siqi Yan, Bikang Pan, Ye Shi

Proceedings of the IEEE International Conference on Communications, 2024

2023

Addressing Data Scarcity in Optical Matrix Multiplier Modeling Using Transfer Learning.

Ali Cem, Ognjen Jovanovic, Siqi Yan, Yunhong Ding, Darko Zibar, Francesco Da Ros

CoRR, 2023

2022

Data-efficient Modeling of Optical Matrix Multipliers Using Transfer Learning.

Ali Cem, Ognjen Jovanovic, Siqi Yan, Yunhong Ding, Darko Zibar, Francesco Da Ros

CoRR, 2022

Data-driven Modeling of Mach-Zehnder Interferometer-based Optical Matrix Multipliers.

Ali Cem, Siqi Yan, Yunhong Ding, Darko Zibar, Francesco Da Ros

CoRR, 2022

Comparison of Models for Training Optical Matrix Multipliers in Neuromorphic PICs.

Ali Cem, Siqi Yan, Uiara Celine de Moura, Yunhong Ding, Darko Zibar, Francesco Da Ros

Proceedings of the Optical Fiber Communications Conference and Exhibition, 2022

2020

Captum: A unified and generic model interpretability library for PyTorch.

Narine Kokhlikyan, Vivek Miglani, Miguel Martin, Edward Wang, Bilal Alsallakh, Jonathan Reynolds, Alexander Melnikov, Natalia Kliushkina, Carlos Araya, Siqi Yan, Orion Reblitz-Richardson

CoRR, 2020

2018

A transferable neural network for Hex.

Chao Gao, Siqi Yan, Ryan Hayward, Martin Müller

ICGA J., 2018