343 citations · 562 across the 17 of their papers we have counts for
17 papers
Techno-Economic Analysis of Synthetic Fuel Production from Existing Nuclear Power Plants across the United States
Marisol Garrouste, Michael T. Craig, Daniel Wendt +4
Low carbon synfuel can displace transport fossil fuels such as diesel and jet fuel and help achieve the decarbonization of the transportation sector at a global scale, but large-sc…
Improved method to determine the mixing
Hang Liu, Wei Wang, Qi-An Zhang
We develop an improved method to explore the mixing which arises from the flavor SU(3) and heavy quark symmetry breaking. In this method, the flavor eigenstates under t…
mixing From Lattice QCD
Hang Liu, Liuming Liu, Peng Sun +5
In heavy quark limit, the lowest-lying charmed baryons with two light quarks can form an SU(3) triplet and sextet. The in the SU(3) triplet and in the sextet have the…
Exploring Structured Semantic Prior for Multi Label Recognition with Incomplete Labels
Zixuan Ding, Ao Wang, Hui Chen +5
Multi-label recognition (MLR) with incomplete labels is very challenging. Recent works strive to explore the image-to-label correspondence in the vision-language model, \ie, CLIP,…
Fully H(gradcurl)-nonconforming Finite Element Method for The Singularly Perturbed Quad-curl Problem on Cubical Meshes
Lixiu Wang, Mingyan Zhang, Qian Zhang
In this paper, we develop two fully nonconforming (both H(grad curl)-nonconforming and H(curl)-nonconforming) finite elements on cubical meshes which can fit into the Stokes comple…
Chiral Dirac fermion in a collinear antiferromagnet
Ao Zhang, Ke Deng, Jieming Sheng +18
In a Dirac semimetal, the massless Dirac fermion has zero chirality, leading to surface states connected adiabatically to a topologically trivial surface state as well as vanishing…
Causal Deep Reinforcement Learning Using Observational Data
Wenxuan Zhu, Chao Yu, Qiang Zhang
Deep reinforcement learning (DRL) requires the collection of interventional data, which is sometimes expensive and even unethical in the real world, such as in the autonomous drivi…
Multi-Camera Calibration Free BEV Representation for 3D Object Detection
Hongxiang Jiang, Wenming Meng, Hongmei Zhu +2
In advanced paradigms of autonomous driving, learning Bird's Eye View (BEV) representation from surrounding views is crucial for multi-task framework. However, existing methods bas…
Improving Visual-Semantic Embedding with Adaptive Pooling and Optimization Objective
Zijian Zhang, Chang Shu, Ya Xiao +7
Visual-Semantic Embedding (VSE) aims to learn an embedding space where related visual and semantic instances are close to each other. Recent VSE models tend to design complex struc…
Relay Hindsight Experience Replay: Self-Guided Continual Reinforcement Learning for Sequential Object Manipulation Tasks with Sparse Rewards
Yongle Luo, Yuxin Wang, Kun Dong +4
Exploration with sparse rewards remains a challenging research problem in reinforcement learning (RL). Especially for sequential object manipulation tasks, the RL agent always rece…
Learning Dynamic View Synthesis With Few RGBD Cameras
Shengze Wang, YoungJoong Kwon, Yuan Shen +4
There have been significant advancements in dynamic novel view synthesis in recent years. However, current deep learning models often require (1) prior models (e.g., SMPL human mod…
Nonperturbative Determination of Collins-Soper Kernel from Quasi Transverse-Momentum Dependent Wave Functions
Min-Huan Chu, Zhi-Fu Deng, Jun Hua +10
In the framework of large-momentum effective theory at one-loop matching accuracy, we perform a lattice calculation of the Collins-Soper kernel which governs the rapidity evolution…
Partially discontinuous nodal finite elements for and
Jun Hu, Kaibo Hu, Qian Zhang
We investigate discretization of and in two and three space dimensions by partially discontinuous nodal finite elements, i.e., vector-valued La…
Flat-Band Itinerant Antiferromagnetism in the Kagome Metal CoSn1-xInx
B. C. Sales, W. R. Meier, D. S. Parker +12
Destructive interference of electron hopping on the frustrated kagome lattice generates Dirac nodes, saddle points, and flat bands in the electronic structure. The latter provides…
Middle-level Fusion for Lightweight RGB-D Salient Object Detection
Nianchang Huang, Qiang Zhang, Jungong Han
Most existing lightweight RGB-D salient object detection (SOD) models are based on two-stream structure or single-stream structure. The former one first uses two sub-networks to ex…
Crystal growth and magnetic structure of MnBi2Te4
J. -Q. Yan, Q. Zhang, T. Heitmann +5
Millimeter-sized MnBiTe single crystals are grown out of Bi-Te flux and characterized by measuring magnetic and transport properties, scanning tunneling microscope (STM) an…
Loop Closure Detection with RGB-D Feature Pyramid Siamese Networks
Zhang Qianhao, Alexander Mai, Joseph Menke +1
In visual Simultaneous Localization And Mapping (SLAM), detecting loop closures has been an important but difficult task. Currently, most solutions are based on the bag-of-words ap…