332 citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- University of Electronic Science and Technology of ChinaCN7 papers
- Zhejiang UniversityCN7 papers
- Bohai UniversityCN2 papers
- Chalmers University of TechnologySE2 papers
- China Institute of Atomic EnergyCN2 papers
- Chinese Academy of SciencesCN2 papers
- Harbin Institute of TechnologyCN2 papers
- Henan UniversityCN2 papers
- Renmin University of ChinaCN2 papers
- University of ReadingGB2 papers
- University of Science and Technology of ChinaCN2 papers
- Wenzhou Medical UniversityCN2 papers
19 papers
Generalized Global Self-Optimizing Control for Chemical Processes: Part II Objective-Guided Controlled Variable Learning Approach
Chenchen Zhou, Hongxin Su, Xinhui Tang +3
Self-optimizing control (SOC) aims to maintain near-optimal process operation by judiciously selecting controlled variables (CVs). In this series of work, the generalized global SO…
Global self-optimizing control of batch processes
Chenchen Zhou, Hongxin Su, Xinhui Tang +2
This work considers to achieve near-optimal operation for a class of batch processes by employing self-optimizing control (SOC). Comparing with a continuous one, a batch process ex…
Dynamic Controlled Variables Based Dynamic Self-Optimizing Control
Chenchen Zhou, Shaoqi Wang, Hongxin Su +3
Self-optimizing control is a strategy for selecting controlled variables, where the economic objective guides the selection and design of controlled variables, with the expectation…
Performance guaranteed MPC Policy Approximation via Cost Guided Learning
Chenchen Zhou, Yi Cao, Shuang-hua Yang
Model predictive control (MPC) is widely used in industries but implementing it poses challenges due to hardware or time constraints. A promising solution is to approximate the MPC…
Conformal symmetry in force-free electrodynamics
Huiquan Li, Jianyong Wang
It is shown that conformal symmetry exists in force-free electrodynamics (FFE) in Minkowski spacetime, a foundational framework for describing magnetospheres around astronomical ob…
Reconciling Attribute and Structural Anomalies for Improved Graph Anomaly Detection
Chunjing Xiao, Jiahui Lu, Xovee Xu +4
Graph anomaly detection is critical in domains such as healthcare and economics, where identifying deviations can prevent substantial losses. Existing unsupervised approaches striv…
LIRA: A Learning-based Query-aware Partition Framework for Large-scale ANN Search
Ximu Zeng, Liwei Deng, Penghao Chen +3
Approximate nearest neighbor search is fundamental in information retrieval. Previous partition-based methods enhance search efficiency by probing partial partitions, yet they face…
Boundary-enhanced time series data imputation with long-term dependency diffusion models
Chunjing Xiao, Xue Jiang, Xianghe Du +4
Data imputation is crucial for addressing challenges posed by missing values in multivariate time series data across various fields, such as healthcare, traffic, and economics, and…
FePd2Te2: An Anisotropic Two-Dimensional Ferromagnet with One-Dimensional Fe Chains
Bingxian Shi, Yanyan Geng, Hengning Wang +18
Two-dimensional (2D) magnets have attracted significant attentions in recent years due to their importance in the research on both fundamental physics and spintronic applications.…
An Efficient Two-Sided Sketching Method for Large-Scale Tensor Decomposition Based on Transformed Domains
Zhiguang Cheng, Gaohang Yu, Xiaohao Cai +1
Large tensors are frequently encountered in various fields such as computer vision, scientific simulations, sensor networks, and data mining. However, these tensors are often too l…
Tensorial properties via the neuroevolution potential framework: Fast simulation of infrared and Raman spectra
Nan Xu, Petter Rosander, Christian Schäfer +7
Infrared and Raman spectroscopy are widely used for the characterization of gases, liquids, and solids, as the spectra contain a wealth of information concerning in particular the…
General-purpose machine-learned potential for 16 elemental metals and their alloys
Keke Song, Rui Zhao, Jiahui Liu +25
Machine-learned potentials (MLPs) have exhibited remarkable accuracy, yet the lack of general-purpose MLPs for a broad spectrum of elements and their alloys limits their applicabil…
Reconfigurable Intelligent Sensing Surface aided Wireless Powered Communication Networks: A Sensing-Then-Reflecting Approach
Cheng Luo, Jie Hu, Luping Xiang +1
This paper presents a reconfigurable intelligent sensing surface (RISS) that combines passive and active elements to achieve simultaneous reflection and direction of arrival (DOA)…
Neural Network Driven, Interactive Design for Nonlinear Optical Molecules Based on Group Contribution Method
Jinming Fan, Chao Qian, Shaodong Zhou
A Lewis-mode group contribution method (LGC) -- multi-stage Bayesian neural network (msBNN) -- evolutionary algorithm (EA) framework is reported for rational design of D-Pi-A type…
SBSM-Pro: Support Bio-sequence Machine for Proteins
Yizheng Wang, Yixiao Zhai, Yijie Ding +1
Proteins play a pivotal role in biological systems. The use of machine learning algorithms for protein classification can assist and even guide biological experiments, offering cru…
Copula approach to exchange-correlation hole in many-electron systems with strong correlations
JingChun Wang, Yu Su, Haoyang Cheng +2
Electronic correlation is a fundamental topic in many-electron systems. To characterize this correlation, one may introduce the concept of exchange-correlation hole. In this paper,…
Practical Vertical Federated Learning with Unsupervised Representation Learning
Zhaomin Wu, Qinbin Li, Bingsheng He
As societal concerns on data privacy recently increase, we have witnessed data silos among multiple parties in various applications. Federated learning emerges as a new learning pa…
DyOCl: a rare-earth based two-dimensional van der Waals material with strong magnetic anisotropy
Congkuan Tian, Feihao Pan, Dehua Ye +17
Comparing with the widely known transitional metal based van der Waals (vdW) materials, rare-earth based ones are rarely explored in the research of intrinsic two-dimensional (2D)…
Deep Embedded Multi-view Clustering with Collaborative Training
Jie Xu, Yazhou Ren, Guofeng Li +3
Multi-view clustering has attracted increasing attentions recently by utilizing information from multiple views. However, existing multi-view clustering methods are either with hig…