80 citations · 126 across the 13 of their papers we have counts for
14 papers
ProtLingo: Efficient Protein Language Modeling via Conditional Memory and Expert Routing
Mingrui Li, Sixian Shen, Minzhang Li +4
Proteins perform diverse cellular functions, and even single amino-acid substitutions can alter stability, activity, or molecular interactions. Protein language models (PLMs) provi…
FUSE: FK-Steered Multi-Modal Flow Matching for Efficient Simulation-Based Posterior Estimation
Weichen Qin, Yufan Xie, Peihao Wang +8
Simulation-Based Inference (SBI) is critical for scientific discovery, with generative models offering a promising path toward efficient inference. However, existing methods strugg…
CryoACE: An Atom-centric Framework for Accurate and Automated Model Building in Cryo-EM
Minzhang Li, Mingrui Li, Weichen Qin +5
Protein automodeling from cryo-EM density maps faces unique challenges in enforcing physicochemical validity and managing conformational heterogeneity. Current solvers are often li…
CryoFastAR: Fast Cryo-EM Ab Initio Reconstruction Made Easy
Jiakai Zhang, Shouchen Zhou, Haizhao Dai +5
Pose estimation from unordered images is fundamental for 3D reconstruction, robotics, and scientific imaging. Recent geometric foundation models, such as DUSt3R, enable end-to-end…
DRACO: A Denoising-Reconstruction Autoencoder for Cryo-EM
Yingjun Shen, Haizhao Dai, Qihe Chen +4
Foundation models in computer vision have demonstrated exceptional performance in zero-shot and few-shot tasks by extracting multi-purpose features from large-scale datasets throug…
CryoGEM: Physics-Informed Generative Cryo-Electron Microscopy
Jiakai Zhang, Qihe Chen, Yan Zeng +4
In the past decade, deep conditional generative models have revolutionized the generation of realistic images, extending their application from entertainment to scientific domains.…
Single-pixel p-graded-n junction spectrometers
Jingyi Wang, Beibei Pan, Zi Wang +8
Ultra-compact spectrometers are becoming increasingly popular for their promising applications in biomedical analysis, environmental monitoring, and food safety. In this work, we r…
CryoFormer: Continuous Heterogeneous Cryo-EM Reconstruction using Transformer-based Neural Representations
Xinhang Liu, Yan Zeng, Yifan Qin +4
Cryo-electron microscopy (cryo-EM) allows for the high-resolution reconstruction of 3D structures of proteins and other biomolecules. Successful reconstruction of both shape and mo…
Human Performance Modeling and Rendering via Neural Animated Mesh
Fuqiang Zhao, Yuheng Jiang, Kaixin Yao +8
We have recently seen tremendous progress in the neural advances for photo-real human modeling and rendering. However, it's still challenging to integrate them into an existing mes…
Fourier PlenOctrees for Dynamic Radiance Field Rendering in Real-time
Liao Wang, Jiakai Zhang, Xinhang Liu +6
Implicit neural representations such as Neural Radiance Field (NeRF) have focused mainly on modeling static objects captured under multi-view settings where real-time rendering can…
NeuVV: Neural Volumetric Videos with Immersive Rendering and Editing
Jiakai Zhang, Liao Wang, Xinhang Liu +7
Some of the most exciting experiences that Metaverse promises to offer, for instance, live interactions with virtual characters in virtual environments, require real-time photo-rea…
HumanNeRF: Efficiently Generated Human Radiance Field from Sparse Inputs
Fuqiang Zhao, Wei Yang, Jiakai Zhang +4
Recent neural human representations can produce high-quality multi-view rendering but require using dense multi-view inputs and costly training. They are hence largely limited to s…
Editable Free-viewpoint Video Using a Layered Neural Representation
Jiakai Zhang, Xinhang Liu, Xinyi Ye +6
Generating free-viewpoint videos is critical for immersive VR/AR experience but recent neural advances still lack the editing ability to manipulate the visual perception for large…
LGNN: A Context-aware Line Segment Detector
Quan Meng, Jiakai Zhang, Qiang Hu +2
We present a novel real-time line segment detection scheme called Line Graph Neural Network (LGNN). Existing approaches require a computationally expensive verification or postproc…