Computational Protein Science in the Era of Large Language Models (LLMs)

Kavli Affiliate: Yi Zhou | First 5 Authors: Wenqi Fan, Yi Zhou, Shijie Wang, Yuyao Yan, Hui Liu | Summary: Considering the significance of proteins, computational protein science has always been a critical scientific field, dedicated to revealing knowledge and developing applications within the protein sequence-structure-function paradigm. In the last few decades, Artificial Intelligence (AI) […]


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Computational Protein Science in the Era of Large Language Models (LLMs)

Kavli Affiliate: Yi Zhou | First 5 Authors: Wenqi Fan, Yi Zhou, Shijie Wang, Yuyao Yan, Hui Liu | Summary: Considering the significance of proteins, computational protein science has always been a critical scientific field, dedicated to revealing knowledge and developing applications within the protein sequence-structure-function paradigm. In the last few decades, Artificial Intelligence (AI) […]


Continue.. Computational Protein Science in the Era of Large Language Models (LLMs)

Non-local modular flows across deformed null-cuts

Kavli Affiliate: Huajia Wang | Summary:Modular flows probe important aspects of the entanglement structures, especially those of QFTs, in a dynamical framework. Despite the expected non-local nature in the general cases, the majority of explicitly understood examples feature local space-time trajectories under modular flows. In this work, we study a particular class of non-local modular […]


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Make Domain Shift a Catastrophic Forgetting Alleviator in Class-Incremental Learning

Kavli Affiliate: Yi Zhou | First 5 Authors: Wei Chen, Yi Zhou, , , | Summary: In the realm of class-incremental learning (CIL), alleviating the catastrophic forgetting problem is a pivotal challenge. This paper discovers a counter-intuitive observation: by incorporating domain shift into CIL tasks, the forgetting rate is significantly reduced. Our comprehensive studies demonstrate […]


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Exploiting NOMA Transmissions in Multi-UAV-assisted Wireless Networks: From Aerial-RIS to Mode-switching UAVs

Kavli Affiliate: Bo Gu | First 5 Authors: Songhan Zhao, Shimin Gong, Bo Gu, Lanhua Li, Bin Lyu | Summary: In this paper, we consider an aerial reconfigurable intelligent surface (ARIS)-assisted wireless network, where multiple unmanned aerial vehicles (UAVs) collect data from ground users (GUs) by using the non-orthogonal multiple access (NOMA) method. The ARIS […]


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FaceLift: Learning Generalizable Single Image 3D Face Reconstruction from Synthetic Heads

Kavli Affiliate: Yi Zhou | First 5 Authors: Weijie Lyu, Weijie Lyu, , , | Summary: We present FaceLift, a novel feed-forward approach for generalizable high-quality 360-degree 3D head reconstruction from a single image. Our pipeline first employs a multi-view latent diffusion model to generate consistent side and back views from a single facial input, […]


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Meson correlators in 4d $mathcal{N}=2$ SCFTs and hints for 8d structures at weak coupling

Kavli Affiliate: Xinan Zhou | First 5 Authors: Xi-Er Du, Zhongjie Huang, Bo Wang, Ellis Ye Yuan, Xinan Zhou | Summary: We study correlators of $frac{1}{2}$-BPS mesons in two examples of 4d SQCDs with $mathcal{N}=2$ superconformal symmetry in the planar limit. We focus on the weakly coupled regime and obtain one-loop corrections to $n$-point meson […]


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Augmented Mass-Spring model for Real-Time Dense Hair Simulation

Kavli Affiliate: Yi Zhou | First 5 Authors: Jorge Alejandro Amador Herrera, Jorge Alejandro Amador Herrera, , , | Summary: We propose a novel Augmented Mass-Spring (AMS) model for real-time simulation of dense hair at strand level. Our approach considers the traditional edge, bending, and torsional degrees of freedom in mass-spring systems, but incorporates an […]


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A Versatile Chip-Scale Platform for High-Rate Entanglement Generation using an AlGaAs Microresonator Array

Kavli Affiliate: John E. Bowers | Summary:Integrated photonic microresonators have become an essential resource for generating photonic qubits for quantum information processing, entanglement distribution and networking, and quantum communications. The pair generation rate is enhanced by reducing the microresonator radius, but this comes at the cost of increasing the frequency mode spacing and reducing the […]


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LDC: Learning to Generate Research Idea with Dynamic Control

Kavli Affiliate: Xinan Zhou | First 5 Authors: Ruochen Li, Ruochen Li, , , | Summary: Recent advancements in large language models (LLMs) have demonstrated their potential in automating the scientific research ideation. Existing approaches primarily focus on prompting techniques, often producing ideas misaligned with expert standards – novelty, feasibility, and effectiveness, which are widely […]


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