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20112023
most citedPrediction of Sea Surface Temperature using Long Short-Term Memory

490 citations · 568 across the 19 of their papers we have counts for

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Showing 2023Show all

12 papers · 1 filter

eess.SY2023★ 14 cited

A Computationally Efficient Bi-level Coordination Framework for CAVs at Unsignalized Intersections

Jiping Luo, Tingting Zhang, Qinyu Zhang

In this paper, we investigate cooperative vehicle coordination for connected and automated vehicles (CAVs) at unsignalized intersections. To support high traffic throughput while r…

physics.app-ph2023★ 1 cited

Multiferroic Magnon Spin-Torque Based Reconfigurable Logic-In-Memory

Yahong Chai, Yuhan Liang, Cancheng Xiao +19

Magnons, bosonic quasiparticles carrying angular momentum, can flow through insulators for information transmission with minimal power dissipation. However, it remains challenging…

cs.LG2023

: Generative Open-Set Node Classification on Graphs with Proxy Unknowns

Qin Zhang, Zelin Shi, Xiaolin Zhang +3

Node classification is the task of predicting the labels of unlabeled nodes in a graph. State-of-the-art methods based on graph neural networks achieve excellent performance when a…

cs.CV2023★ 6 cited

Real-time Strawberry Detection Based on Improved YOLOv5s Architecture for Robotic Harvesting in open-field environment

Zixuan He, Salik Ram Khanal, Xin Zhang +2

This study proposed a YOLOv5-based custom object detection model to detect strawberries in an outdoor environment. The original architecture of the YOLOv5s was modified by replacin…

cs.IR2023

An Equivalent Graph Reconstruction Model and its Application in Recommendation Prediction

Guangrui Yang, Lihua Yang, Qing Zhang +1

Recommendation algorithm plays an important role in recommendation system (RS), which predicts users' interests and preferences for some given items based on their known informatio…

cs.CV2023★ 1 cited

Threshold-Consistent Margin Loss for Open-World Deep Metric Learning

Qin Zhang, Linghan Xu, Qingming Tang +4

Existing losses used in deep metric learning (DML) for image retrieval often lead to highly non-uniform intra-class and inter-class representation structures across test classes an…

cs.CV2023

Learning for Transductive Threshold Calibration in Open-World Recognition

Qin Zhang, Dongsheng An, Tianjun Xiao +6

In deep metric learning for visual recognition, the calibration of distance thresholds is crucial for achieving desired model performance in the true positive rates (TPR) or true n…

cs.RO2023★ 22 cited

Design, Integration, and Field Evaluation of a Robotic Blossom Thinning System for Tree Fruit Crops

Uddhav Bhattarai, Qin Zhang, Manoj Karkee

The US apple industry relies heavily on semi-skilled manual labor force for essential field operations such as training, pruning, blossom and green fruit thinning, and harvesting.…

cs.LG2023★ 2 cited

Auto-HeG: Automated Graph Neural Network on Heterophilic Graphs

Xin Zheng, Miao Zhang, Chunyang Chen +3

Graph neural architecture search (NAS) has gained popularity in automatically designing powerful graph neural networks (GNNs) with relieving human efforts. However, existing graph…

cs.RO2023

A Tightly Coupled Bi-Level Coordination Framework for CAVs at Road Intersections

Donglin Li, Tingting Zhang, Jiping Luo +4

Since the traffic administration at road intersections determines the capacity bottleneck of modern transportation systems, intelligent cooperative coordination for connected auton…

cs.LG2023★ 1 cited

SaFormer: A Conditional Sequence Modeling Approach to Offline Safe Reinforcement Learning

Qin Zhang, Linrui Zhang, Haoran Xu +6

Offline safe RL is of great practical relevance for deploying agents in real-world applications. However, acquiring constraint-satisfying policies from the fixed dataset is non-tri…

cond-mat.quant-gas2023★ 6 cited

Dynamical mean-field driven spinor condensate physics beyond the single-mode approximation

J. Jie, S. Zhong, Q. Zhang +7

Na spin-1 Bose-Einstein condensates are used to experimentally demonstrate that mean-field physics beyond the single-mode approximation can be relevant during the non-equili…