422 citations · 473 across the 13 of their papers we have counts for
13 papers
Machine Learning Unveils Finite-volume Energy Shifts in Three-body System
Wei-Jie Zhang, Zhenyu Zhang, Jifeng Hu +3
Finite-volume extrapolation (FVE) is essential for extracting physical observables in the lattice calculation. While rigorous FVE formulations are well established for short-range…
Fully-heavy multiquarks in neural-network quantum states
Wen-min Li, Zhenyu Zhang, Qian Wang
Exotic hadrons beyond the conventional quark model provide a direct window into the dynamics of strong interaction. However, extracting the multiquark spectroscopy has to face the…
Dilated coordinate method for solving nuclear lattice effective field theory
Guangzhao He, Zhenyu Zhang, Teng Wang +2
We introduce a dilated coordinate method to address computational challenges in nuclear lattice effective field theory (NLEFT) for weakly-bound few-body systems. The approach emplo…
Resonance parameters of the vector charmoniumlike state
Quanxing Ye, Zhenyu Zhang, Meng-Lin Du +3
Motivated by the updated analysis of the by the BESIII collaboration, we perform a global analysis of the cross sections of the , $e^+e^-\to D\bar{D}^…
Machine Learning Unveils the Power Law of Finite-Volume Energy Shifts
Wei-Jie Zhang, Zhenyu Zhang, Jifeng Hu +3
Finite-volume extrapolation is an important step for extracting physical observables from lattice calculations. However, it is a significant challenge for the system with long-rang…
OmniDrag: Enabling Motion Control for Omnidirectional Image-to-Video Generation
Weiqi Li, Shijie Zhao, Chong Mou +6
As virtual reality gains popularity, the demand for controllable creation of immersive and dynamic omnidirectional videos (ODVs) is increasing. While previous text-to-ODV generatio…
Binding of the three-hadron system from the lattice effective field theory
Zhenyu Zhang, Xin-Yue Hu, Guangzhao He +4
We employ the nuclear lattice effective field theory (NLEFT), an efficient tool for nuclear ab initio calculations, to solve the asymmetric multihadron systems. We take the …
DreamBarbie: Text to Barbie-Style 3D Avatars
Xiaokun Sun, Zhenyu Zhang, Ying Tai +3
To integrate digital humans into everyday life, there is a strong demand for generating high-quality, fine-grained disentangled 3D avatars that support expressive animation and sim…
Anywhere: A Multi-Agent Framework for User-Guided, Reliable, and Diverse Foreground-Conditioned Image Generation
Tianyidan Xie, Rui Ma, Qian Wang +6
Recent advancements in image-conditioned image generation have demonstrated substantial progress. However, foreground-conditioned image generation remains underexplored, encounteri…
Revealing the nature of hidden charm pentaquarks with machine learning
Zhenyu Zhang, Jiahao Liu, Jifeng Hu +2
We study the nature of the hidden charm pentaquarks, i.e. the , and , with a neural network approach in pionless effective field theory. In this f…
The third peak structure in the double spectrum
PengYu Niu, Zhenyu Zhang, Qian Wang +1
Recently, the CMS and ATLAS collaborations have reported their and invariant mass distributions, respectively, for searching for fully charmed tetraquarks. B…
Discover the GellMann-Okubo formula with machine learning
Zhenyu Zhang, Rui Ma, Jifeng Hu +1
Machine learning is a novel and powerful technology and has been widely used in various science topics. We demonstrate a machine-learning based approach built by a set of general m…
Electron-Ion Collider in China
Daniele P. Anderle, Valerio Bertone, Xu Cao +99
Lepton scattering is an established ideal tool for studying inner structure of small particles such as nucleons as well as nuclei. As a future high energy nuclear physics project,…