Kavli Affiliate: Zheng Zhu | First 5 Authors: Ze Yu Zhao, Zheng Zhu, Guilin Li, Wenhan Wang, Bo Wang | Summary: In this work, we introduce an innovative autoregressive model leveraging Generative Pretrained Transformer (GPT) architectures, tailored for fraud detection in payment systems. Our approach innovatively confronts token explosion and reconstructs behavioral sequences, providing a […]

Kavli Affiliate: Yi Zhou | First 5 Authors: Desai Xie, Jiahao Li, Hao Tan, Xin Sun, Zhixin Shu | Summary: Recent advancements in the text-to-3D task leverage finetuned text-to-image diffusion models to generate multi-view images, followed by NeRF reconstruction. Yet, existing supervised finetuned (SFT) diffusion models still suffer from multi-view inconsistency and the resulting NeRF […]

Kavli Affiliate: Yi Zhou | First 5 Authors: Desai Xie, Jiahao Li, Hao Tan, Xin Sun, Zhixin Shu | Summary: Multi-view diffusion models, obtained by applying Supervised Finetuning (SFT) to text-to-image diffusion models, have driven recent breakthroughs in text-to-3D research. However, due to the limited size and quality of existing 3D datasets, they still suffer […]

Kavli Affiliate: Zheng Zhu | First 5 Authors: Zheng Zhu, Bernard Hallet, András A. Sipos, Gábor Domokos, Quan-Xing Liu | Summary: In Gale Crater near Mars’ equator, dunes and ripples of sand stand out from the general orderless, rocky terrain. In addition, images from Curiosity, the Mars Science Laboratory rover, reveal more subtle orderly forms: […]

Kavli Affiliate: Cheng Peng | First 5 Authors: Junwu Zhang, Zhenyu Tang, Yatian Pang, Xinhua Cheng, Peng Jin | Summary: Recent one image to 3D generation methods commonly adopt Score Distillation Sampling (SDS). Despite the impressive results, there are multiple deficiencies including multi-view inconsistency, over-saturated and over-smoothed textures, as well as the slow generation speed. […]

Kavli Affiliate: Shenghan Jiang | Summary:Symmetries and quantum anomalies serve as powerful tools for constraining complicated quantum many-body systems, offering valuable insights into low-energy characteristics based on their ultraviolet structure. Nevertheless, their applicability has traditionally been confined to closed quantum systems, rendering them largely unexplored for open quantum systems described by density matrices. In this […]

Kavli Affiliate: Cheng Peng | First 5 Authors: Cheng Peng, Ke Chen, Lidan Shou, Gang Chen, | Summary: Multi-modal multi-label emotion recognition (MMER) aims to identify relevant emotions from multiple modalities. The challenge of MMER is how to effectively capture discriminative features for multiple labels from heterogeneous data. Recent studies are mainly devoted to exploring […]

Kavli Affiliate: Cheng Peng | First 5 Authors: Cheng Peng, Ke Chen, Lidan Shou, Gang Chen, | Summary: Multi-modal multi-label emotion recognition (MMER) aims to identify relevant emotions from multiple modalities. The challenge of MMER is how to effectively capture discriminative features for multiple labels from heterogeneous data. Recent studies are mainly devoted to exploring […]

Kavli Affiliate: Long Zhang | First 5 Authors: Chen Peng, Long Zhang, , , | Summary: Quenched randomness strongly affects properties of magnetic materials. Two-dimensional (2D) random singlet (RS) states emerge in random $J$-$Q$ model by destroying valence bond solid order with spatial randomness. We examine the 2D RS state in magnetic field with quantum […]