作者机构：
[Liu, Hui] Cent China Normal Univ, Key Lab Quark & Lepton Phys MOE, Wuhan 430079, Peoples R China.;[Liu, Hui] Cent China Normal Univ, Inst Particle Phys, Wuhan 430079, Peoples R China.;[Liu, Hui] Heidelberg Univ, Inst Phys, D-69120 Heidelberg, Germany.
会议名称：
29th International Conference on Ultrarelativistic Nucleus-Nucleus Collisions Quark Matter
会议时间：
APR 04-10, 2022
会议地点：
Krakow, POLAND
会议主办单位：
[Liu, Hui] Cent China Normal Univ, Key Lab Quark & Lepton Phys MOE, Wuhan 430079, Peoples R China.^[Liu, Hui] Cent China Normal Univ, Inst Particle Phys, Wuhan 430079, Peoples R China.^[Liu, Hui] Heidelberg Univ, Inst Phys, D-69120 Heidelberg, Germany.
摘要：
In these proceedings, we present the measurements of centrality, transverse momentum, and rapidity dependences of proton (p) and light-nuclei (d ((d) over bar), t, He-3 ((He-3) over bar), and He-4) production in Au+Au collisions at root s(NN) = 3 GeV, and isobaric (Ru+Ru and Zr+Zr) collisions at root s(NN) = 200 GeV. The compound yield ratios in central collisions at 3 GeV are found to be larger than the transport model calculations. Furthermore, the kinetic freeze-out parameters at 3 GeV show a different trend compared to those of light hadrons (pi, K, p) at higher energies.
期刊：
EPJ Web of Conferences,2023年276:01009-null ISSN：2100-014X
通讯作者：
Fan, F
作者机构：
[Fan, Feng; Fan, F] Cent China Normal Univ, Wuhan 430079, Hubei, Peoples R China.
通讯机构：
[Fan, F ] C;Cent China Normal Univ, Wuhan 430079, Hubei, Peoples R China.
会议名称：
20th International Conference on Strangeness in Quark Matter (SQM)
会议时间：
JUN 13-18, 2022
会议地点：
Busan, SOUTH KOREA
会议主办单位：
[Fan, Feng] Cent China Normal Univ, Wuhan 430079, Hubei, Peoples R China.
会议论文集名称：
EPJ Web of Conferences
关键词：
conference;proceedings;physics;astronomy;The European Physical Journal;EPJ
摘要：
Measurements of charged-particle production in pp and p-Pb collisions at root S-NN = 5.02 TeV in the toward, away and transverse regions are discussed. These three regions are defined event by event relative to the track with the largest transverse momentum (p(T)(trig)). The transverse region is sensitive to the underlying event (UE), but it also includes contributions from initialand final-state radiation (ISR-FSR). Therefore, it is further subdivided in two regions, defined according to their relative multiplicities: trans-max (the sub-transverse region with the larger multiplicity) and trans -min (the sub-transverse region with the smaller multiplicity) regions which have an enhanced sensitivity to ISR-FSR and UE, respectively. KNO-like scaling properties are explored in the three defined regions. Finally, the relationship between p(T)(trig) and the energy detected in a region close to beam rapidity (very forward energy) is reported.
作者机构：
[Peng, Xinye] China Univ Geosci, Wuhan, Peoples R China.;[Peng, Xinye] Cent China Normal Univ, Wuhan, Peoples R China.
会议名称：
29th International Conference on Ultrarelativistic Nucleus-Nucleus Collisions Quark Matter
会议时间：
APR 04-10, 2022
会议地点：
Krakow, POLAND
会议主办单位：
[Peng, Xinye] China Univ Geosci, Wuhan, Peoples R China.^[Peng, Xinye] Cent China Normal Univ, Wuhan, Peoples R China.
摘要：
In this contribution, the final measurements of the centrality dependence of the nuclear modification factor (R-AA) of non-prompt D-0 in Pb-Pb collisions at root s(NN) = 5.02 TeV will be presented. These measurements provide important constraints to the mass dependence of in-medium energy loss and hadronisation of the beauty quark. The pT-integrated non-prompt D-0 R-AA will be presented for the first time and will be compared to the prompt D-0 one. This comparison will shed light on possible different shadowing effects between charm and beauty quarks. In addition, the first measurements of non-prompt D-s(+) production in central and semi-central Pb-Pb collisions at root s(NN) = 5.02 TeV will be discussed. The non-prompt D-s(+) measurements provide additional information on the hadronisation of beauty quarks and the production yield of B-s(0) mesons. Finally, the first measurement of non-prompt D-meson elliptic flow in Pb-Pb collisions at root s(NN) = 5.02 TeV will also be discussed. These measurements can constrain the degree of thermalisation of beauty quarks in the hot and dense QCD medium.
摘要：
Current assessments of urban forest carbon storage were missing or largely underestimating their values due to limited spatial resolution. In this study, combining field plot measurements and satellite imagery, a wall-to-wall forest biomass map were generated at a very high spatial resolution (5 m) over urban areas in Wuhan City, China. Specifically, a series of characteristic metrics were extracted from Jilin-1 satellite images, including multispectral reflectances, vegetation indices, and texture features. The estimations of forest aboveground biomass from three machine learning models were evaluated at sampled field plot level. Results demonstrated that the random forest model achieved the highest accuracy using the leave-one-out cross-validation method, with a test set RMSE of 31.84 Mg/ha. However, discrepancies were observed in low biomass areas due to variations in vegetation species, leading to overestimation of lower values.
摘要：
In recent years, cross-modal hashing has attracted an increasing attention due to its fast retrieval speed and low storage requirements. However, labeled datasets are limited in real application, and existing unsupervised cross-modal hashing algorithms usually employ heuristic geometric prior as semantics, which introduces serious deviations as the similarity score from original features cannot reasonably represent the relationships among instances. In this paper, we study the unsupervised deep cross-modal hash retrieval method and propose a novel Semantic Graph Evolutionary Hashing (SGEH) to solve the above problem. The key novelty of SGEH is its evolutionary affinity graph construction method. To be concrete, we explore the sparse similarity graph with clustering results, which evolve from fusing the affinity information from code-driven graph on intrinsic data and subsequently extends to dense hybrid semantic graph which restricts the process of hash code learning to learn more discriminative results. Moreover, the batch-inputs are chosen from edge set rather than vertexes for better exploring the original spatial information in the sparse graph. Experiments on four benchmark datasets demonstrate the superiority of our framework over the state-of-the-art unsupervised cross-modal retrieval methods. Code is available at: https://github.com/theusernamealreadyexists/SGEH.
作者机构：
[Liu, Jun-Hong; Ding, Heng-Tong; Li, Sheng-Tai; Wang, Xiao-Dan; Ding, HT] Cent China Normal Univ, Key Lab Quark & Lepton Phys MOE, Wuhan 430079, Peoples R China.;[Liu, Jun-Hong; Ding, Heng-Tong; Li, Sheng-Tai; Wang, Xiao-Dan; Ding, HT] Cent China Normal Univ, Inst Particle Phys, Wuhan 430079, Peoples R China.
会议名称：
29th International Conference on Ultrarelativistic Nucleus-Nucleus Collisions Quark Matter
会议时间：
APR 04-10, 2022
会议地点：
Krakow, POLAND
会议主办单位：
[Ding, Heng-Tong;Li, Sheng-Tai;Liu, Jun-Hong;Wang, Xiao-Dan] Cent China Normal Univ, Key Lab Quark & Lepton Phys MOE, Wuhan 430079, Peoples R China.^[Ding, Heng-Tong;Li, Sheng-Tai;Liu, Jun-Hong;Wang, Xiao-Dan] Cent China Normal Univ, Inst Particle Phys, Wuhan 430079, Peoples R China.
摘要：
We present the first lattice QCD results of the second-order fluctuations of, and correlations among net-baryon number, electric charge, and strangeness in (2+1)-flavor lattice QCD in the presence of a background magnetic field with physical pion mass m(pi) = 135 MeV. To mimic the magnetic field strength produced in the early stage of heavy-ion collision experiments, we use 6 different values of the magnetic field strength up to similar to 10 m(pi)(2). We find that the correlations between baryon number and electric charge along the transition line are substantially affected by magnetic fields in the current eB window, which could be useful for probing the existence of a magnetic field in heavy-ion collision experiments.
摘要：
This work tackles two crucial challenges in representation learning-based rating prediction for engineering recommender systems. Firstly, it addresses the disparity between the ideal rating distribution and the actual scattered-grain rating distribution by incorporating a Poisson prior generative paradigm that assigns higher a priori representations to higher rating values, rather than treating all rating forms equally. Secondly, it explores the interactivity between the rating matrix and contextual information by mapping them through a lowdimensional real-valued vector, enabling a deeper understanding of users' interests and hidden interest relationships. Graph convolutional networks are employed to mitigate the impact of user preferences and enhance the estimation of interaction factors. Experimental results on six benchmark datasets demonstrate the proposed method's effectiveness in improving recommendation accuracy and novelty when replacing user decisions.
作者：
Wang W.;Zhang T.;Zhao Y.;Jin X.;Mouchere H.;...
作者机构：
[Zhang T.; Wang W.; Jin X.; Zhao Y.; Yu X.] Faculty of Artificial Intelligence in Education, Central China Normal University, Wuhan, China;[Mouchere H.] Nantes Université, École Centrale Nantes, LS2N, UMR 6004, Nantes, 44000, France
会议名称：
29th International Conference on Neural Information Processing, ICONIP 2022
作者机构：
[Pi, Chenchen; Xie, W; Xie, Wei; Sun, Hao] Cent China Normal Univ, Hubei Prov Key Lab Artificial Intelligence & Smar, Wuhan, Peoples R China.;[Pi, Chenchen; Xie, W; Xie, Wei; Sun, Hao] Cent China Normal Univ, Sch Comp, Wuhan, Peoples R China.;[Pi, Chenchen; Xie, W; Xie, Wei; Sun, Hao] Cent China Normal Univ, Natl Language Resources Monitoring & Res Ctr Netw, Wuhan, Peoples R China.
会议名称：
IEEE International Conference on Multimedia and Expo (ICME)
会议时间：
JUL 10-14, 2023
会议地点：
Brisbane, AUSTRALIA
会议主办单位：
[Sun, Hao;Pi, Chenchen;Xie, Wei] Cent China Normal Univ, Hubei Prov Key Lab Artificial Intelligence & Smar, Wuhan, Peoples R China.^[Sun, Hao;Pi, Chenchen;Xie, Wei] Cent China Normal Univ, Sch Comp, Wuhan, Peoples R China.^[Sun, Hao;Pi, Chenchen;Xie, Wei] Cent China Normal Univ, Natl Language Resources Monitoring & Res Ctr Netw, Wuhan, Peoples R China.
会议论文集名称：
IEEE International Conference on Multimedia and Expo
摘要：
Pseudo-labels are popular in semi-supervised facial expression recognition. Recent methods usually exploit the confidence as the criterion for pseudo-label generation, and utilize the high-confidence pseudo-labels as the ground-truth for training. However, high confidence cannot guarantee the correctness of pseudo-labels. False pseudo-labels can weaken the feature discrimination and degrade recognition performance. In this paper, we propose a Critical Feature Refinement Network (CFRN) to alleviate the interference of false pseudo-labels on the model performance. Specially, a feature dropout module and a feature emphasis module are proposed to improve the feature discrimination of CFRN. Then, a mean-absolute error loss is further exploited to improve the robustness against false pseudo-labels. Experimental results on three challenging datasets RAF-DB, SFEW and Affectnet demonstrate that the proposed CFRN outperforms the state-of-the-art methods.
摘要：
Space mapping (SM) is widely used in electromagnetic (EM) optimization due to its fast characteristics. For waveguide devices, mesh morphing-embedded space mapping helps speed up electromagnetic optimization of coarse model. In this paper, the recent advances in mesh morphing-embedded space mapping is reviewed from the aspects of parallel SM and coarse- and fine-mesh SM based on mesh deformation. The current mesh morphing technology is not limited to wave-guides with rectangular structures, but also waveguides with arc structures can be meshed better with mesh morphing. Two microwave instances of different structures will serve as proof of the aforementioned techniques.
摘要：
Current assessments of urban forest carbon storage were missing or largely underestimating their values due to limited spatial resolution. In this study, combining field plot measurements and satellite imagery, a wall-to-wall forest biomass map were generated at a very high spatial resolution (5 m) over urban areas in Wuhan City, China. Specifically, a series of characteristic metrics were extracted from Jilin-1 satellite images, including multispectral reflectances, vegetation indices, and texture features. The estimations of forest aboveground biomass from three machine learning models were evaluated at sampled field plot level. Results demonstrated that the random forest model achieved the highest accuracy using the leave-one-out cross-validation method, with a test set RMSE of 31.84 Mg/ha. However, discrepancies were observed in low biomass areas due to variations in vegetation species, leading to overestimation of lower values.
作者机构：
[Mo, Ran] Cent China Normal Univ, Sch Comp Sci, Wuhan, Peoples R China.;Cent China Normal Univ, Hubei Prov Key Lab Artificial Intelligence & Smar, Wuhan, Peoples R China.
会议名称：
38th IEEE/ACM International Conference on Automated Software Engineering (ASE)
会议时间：
SEP 11-15, 2023
会议地点：
Echternach, LUXEMBOURG
会议主办单位：
[Mo, Ran] Cent China Normal Univ, Sch Comp Sci, Wuhan, Peoples R China.^Cent China Normal Univ, Hubei Prov Key Lab Artificial Intelligence & Smar, Wuhan, Peoples R China.
会议论文集名称：
IEEE ACM International Conference on Automated Software Engineering
摘要：
With the continuous improvement of artificial intelligence technology, autonomous driving technology has been greatly developed. Hence automated driving software has drawn more and more attention from both researchers and practitioners. Code clone is a commonly used to speed up the development cycle in software development, but many studies have shown that code clones may affect software maintainability. Currently, there is little research investigating code clones in automated driving software. To bridge this gap, we conduct a comprehensive experience study on the code clones in automated driving software. Through the analysis of Apollo and Autoware, we have presented that code clones are prevalent in automated driving software. about 30% of code lines are involved in code clones and more than 50% of files contain code clones. Moreover, a notable portion of these code clones has caused bugs and co-modifications. Due to the high complexity of autonomous driving, the automated driving software is often designed to be modular, with each module responsible for a single task. When considering each module individually, we have found that Perception, Planning, Canbus, and Sensing modules are more likely to encounter code clones, and more likely to have bug-prone and co-modified clones. Finally, we have shown that there exist cross-module clones to propagate bugs and co-modifications in different modules, which undermine the software's modularity.
作者机构：
[Zhang, Cheng; Liu, Hai] Cent China Normal Univ, Natl Engn Res Ctr E Learning, Wuhan, Peoples R China.;[Deng, Yongjian] Beijing Univ Technol, Coll Comp Sci, Beijing, Peoples R China.;[Deng, Yongjian] Minist Educ, Engn Res Ctr Intelligence Percept & Autonomous Co, Beijing, Peoples R China.;[Li, Youfu; Xie, Bochen] City Univ Hong Kong, Dept Mech Engn, Kowloon, Hong Kong, Peoples R China.
会议名称：
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
会议时间：
JUN 17-24, 2023
会议地点：
Vancouver, CANADA
会议主办单位：
[Zhang, Cheng;Liu, Hai] Cent China Normal Univ, Natl Engn Res Ctr E Learning, Wuhan, Peoples R China.^[Deng, Yongjian] Beijing Univ Technol, Coll Comp Sci, Beijing, Peoples R China.^[Deng, Yongjian] Minist Educ, Engn Res Ctr Intelligence Percept & Autonomous Co, Beijing, Peoples R China.^[Xie, Bochen;Li, Youfu] City Univ Hong Kong, Dept Mech Engn, Kowloon, Hong Kong, Peoples R China.
会议论文集名称：
IEEE Conference on Computer Vision and Pattern Recognition
摘要：
Head pose estimation (HPE) has been widely used in the fields of human machine interaction, self-driving, and attention estimation. However, existing methods cannot deal with extreme head pose randomness and serious occlusions. To address these challenges, we identify three cues from head images, namely, neighborhood similarities, significant facial changes, and critical minority relationships. To leverage the observed findings, we propose a novel critical minority relationship-aware method based on the Transformer architecture in which the facial part relationships can be learned. Specifically, we design several orientation tokens to explicitly encode the basic orientation regions. Meanwhile, a novel token guide multiloss function is designed to guide the orientation tokens as they learn the desired regional similarities and relationships. We evaluate the proposed method on three challenging benchmark HPE datasets. Experiments show that our method achieves better performance compared with state-of-the-art methods. Our code is publicly available at https://github.com/zc2023/TokenHPE.
作者机构：
[Wang, Shuwen; Zhang, Lishan; Zhang, Sixv; Lin, Bocheng; Liu, Lili] Central China Normal University, Faculty of Artificial Intelligence in Education, Wuhan, China;[Xv, Min] Central China Normal University, School of Chinese Language and Literature, Wuhan, China
会议名称：
2023 CHI Conference on Human Factors in Computing Systems, CHI 2023
作者机构：
[Ursini, Francesco-Alessio] Central China Normal University, School of Chinese Language and Literature, 52, Dailyou Road, Wuhan;625762, China;[Samo, Giuseppe] University of Geneva, Department of Linguistics, Rue de Candolle 2, Geneva;1205, Switzerland;Beijing Language and Culture University, 15, Xue Yuan Road, Beijing
会议名称：
1st Workshop on Geographic Information Extraction from Texts, GeoExT 2023
摘要：
The Three Parallel Rivers Basin (TPRB) is a global biodiversity hotspot in the southeast of Qinghai-Tibet Plateau. The vegetation ecosystem has undergone significant changes due to global environmental changes, necessitating the long-term and fine-scale monitoring. The Hi-GLASS FVC product, derived from Landsat 8 data, has a fine spatial resolution of 30 m, but spatial gaps caused by clouds and shadows are prevalent. To address this issue, a 16-day, 30 m resolution FVC dataset was generated from 2000 to 2018 for the TPRB by fusing Hi-GLASS FVC and GLASS FVC time-series data. Combining the annual average FVC and growing-season average FVC, trend analysis of vegetation cover was conducted at two different spatial resolutions (30m and 500m) using the Sen's slope and Mann-Kendall test at a 95% confidence level. The results indicated that more areas exhibited significant improvements in vegetation than degradation. The improvements were characterized by the increase of the annual average FVC as well as the growing-season FVC for two decades. This study provides scientific supports for the development of ecological conservation plans in the TPRB region.
作者机构：
[Fu, Yu] Cent China Normal Univ, Key Lab Quark & Lepton Phys MOE, Wuhan 430079, Peoples R China.;[Fu, Yu] Cent China Normal Univ, Inst Particle Phys, Wuhan 430079, Peoples R China.;[Ghiglieri, Jacopo] Univ Nantes, SUBATECH, IMT Atlant, IN2P3,CNRS, 4 rue Alfred Kastler Chantrerie BP 20722, F-44307 Nantes, France.;[Iqbal, Shahin] Quaid i Azam Univ Islamabad, Natl Ctr Phys, Islamabad, Pakistan.;[Kurkela, Aleksi] Univ Stavanger, Fac Sci & Technol, N-4036 Stavanger, Norway.
会议名称：
29th International Conference on Ultrarelativistic Nucleus-Nucleus Collisions Quark Matter
会议时间：
APR 04-10, 2022
会议地点：
Krakow, POLAND
会议主办单位：
[Fu, Yu] Cent China Normal Univ, Key Lab Quark & Lepton Phys MOE, Wuhan 430079, Peoples R China.^[Fu, Yu] Cent China Normal Univ, Inst Particle Phys, Wuhan 430079, Peoples R China.^[Ghiglieri, Jacopo] Univ Nantes, SUBATECH, IMT Atlant, IN2P3,CNRS, 4 rue Alfred Kastler Chantrerie BP 20722, F-44307 Nantes, France.^[Iqbal, Shahin] Quaid i Azam Univ Islamabad, Natl Ctr Phys, Islamabad, Pakistan.^[Kurkela, Aleksi] Univ Stavanger, Fac Sci & Technol, N-4036 Stavanger, Norway.
摘要：
We employ the QCD kinetic theory, including next-to-leading (NLO) order corrections in coupling constant, to study the evolution of weakly coupled non-Abelian plasmas towards thermal equilibrium. For two characteristic far-from-equilibrium systems with either under- or over-occupied initial conditions, the NLO corrections remain well under control for a wide range of couplings, and the overall effect of NLO corrections is a reduction in the time required for thermalization.
摘要：
The High Intensity heavy-ion Accelerator Facility (HIAF) is being constructed to generate intense beams of primary and radioactive ion for a wide range of research fields. Hence, a Monolithic Active Pixel Sensor (MAPS) named Nupix-A2 has been developed in a 130-nm High Resistivity CMOS process. The Nupix-A2 can simultaneously measure the particle hit' energy, arrival time, and position. It consists of a 128 x 128 pixel array, a digital-to-analog converter array, and a digital control module. The Nupix-A2 can measure energy deposition from 300 e-to over 50 ke-and time duration from 13 mu s to 140 mu s. This sensor also offers full readout mode and fast readout mode. In full-readout mode, all pixels measure arrival time and energy, suitable for real-time beam monitoring and image reconstruction. In fast-readout mode, only particle hit's positions are detected and read out. This paper presents the design of the Nupix-A2.
作者机构：
[Zheng, Xiaoying; Lu, Quan] Wuhan Univ, Sch Informat Management, Wuhan, Peoples R China.;[Chen, Jing] Cent China Normal Univ, Sch Informat Management, Wuhan, Peoples R China.
会议名称：
IEEE 8th International Conference on Big Data Analytics (ICBDA)
会议时间：
MAR 03-05, 2023
会议地点：
Harbin, PEOPLES R CHINA
会议主办单位：
[Lu, Quan;Zheng, Xiaoying] Wuhan Univ, Sch Informat Management, Wuhan, Peoples R China.^[Chen, Jing] Cent China Normal Univ, Sch Informat Management, Wuhan, Peoples R China.
关键词：
electronic medical record;data mining;clinical treatment pattern;symptomatic treatment
摘要：
This paper analyzed the basic clinical treatment pattern by exploring the relationship between diseases, symptoms and drugs, which help non-medical people understand the basic clinical treatment pattern, so as to better carry out medical and health big data mining and eliminate public prejudice against symptomatic treatment. The FP growth algorithm was used to mine the association rules from EMR big data. Combined with intersection analysis, the basic clinical treatment pattern was summarized. 507 disease-drug rules and 2141 symptom-drug rules were obtained, indicating that both diseases and symptoms are strongly associated with drugs. Intersection analysis showed that 33.7% of the disease-drug rules were symptom-independent, while 34.6% of the symptom-drug rules were disease-independent. The basic clinical treatment pattern consists of three parts: (1) The combination of disease and symptomatic medication pattern. (2) Independent disease medication pattern. (3) Independent symptomatic medication pattern.
