科研成果

2025
Xie J. The existence of Zariski dense orbits for endomorphisms of projective surfaces. With an appendix in collaboration with Thomas Tucker. J. Amer. Math. Soc. [Internet]. 2025;38(1):1-62. pdf
Huang Z, Liang J, Wang Y, Sun Z, Shigekawa N, Li M, WANG R, Cheng Z. Experimental Observation of Extremely Strong Defect-Phonon Scatterings in Semiconductor Single Crystals. arXiv preprint arXiv:2504.20820. 2025.
Lufungulo, E. S. JMJ & K. Exploring factors of open educational resources (OER) in Zambian community schools: A qualitative study. Social Sciences & Humanities Open [Internet]. 2025;11(101465). 访问链接
Yu X, Zhong N, Cheng Y, Xin T, Luo Q, Gong T, Chen J, Wu J, Cheng R, Fu Z, et al. Ferroelectric materials, devices, and chips technologies for advanced computing and memory applications: development and challenges. Science China Information Sciences [Internet]. 2025;68:160401. 访问链接
Ayzenberg D, others. Fundamental physics opportunities with future ground-based mm/sub-mm VLBI arrays. Living Rev. Rel. 2025;28:4.
Liu X-Y, Wang A-Q*, Li D, Zhao T-Y, Liao X, Liao Z-M†. Giant Third-Order Nonlinearity Induced by the Quantum Metric Quadrupole in Few-LayerWTe2. Phys. Rev. Lett. [Internet]. 2025;134(026305). 访问链接
Tang F, Zhu B, Sun J. Gradient Enhancement Techniques and Motion Consistency Constraints for Moving Object Segmentation in 3D LiDAR Point Clouds. Remote Sensing [Internet]. 2025;17. 访问链接Abstract
The ability to segment moving objects from three-dimensional (3D) LiDAR scans is critical to advancing autonomous driving technology, facilitating core tasks like localization, collision avoidance, and path planning. In this paper, we introduce a novel deep neural network designed to enhance the performance of 3D LiDAR point cloud moving object segmentation (MOS) through the integration of image gradient information and the principle of motion consistency. Our method processes sequential range images, employing depth pixel difference convolution (DPDC) to improve the efficacy of dilated convolutions, thus boosting spatial information extraction from range images. Additionally, we incorporate Bayesian filtering to impose posterior constraints on predictions, enhancing the accuracy of motion segmentation. To handle the issue of uneven object scales in range images, we develop a novel edge-aware loss function and use a progressive training strategy to further boost performance. Our method is validated on the SemanticKITTI-based LiDAR MOS benchmark, where it significantly outperforms current state-of-the-art (SOTA) methods, all while working directly on two-dimensional (2D) range images without requiring mapping.
Green and efficient disinfection of antibiotic-resistant bacteria via PI/H2O2 homogeneous system
Zhang B, Li Z, Liu F, Zhang X, Hou Y, Tong M. Green and efficient disinfection of antibiotic-resistant bacteria via PI/H2O2 homogeneous system. Water Research [Internet]. 2025:123468. 访问链接Abstract
The proliferation and spread of antibiotic-resistant bacteria (ARB) significantly threaten human health and ecosystem. Periodate (PI) based advanced oxidation process has potentials for water purification but limited by complex activators or activation process. Herein, we demonstrated that H2O2 could be used to activate PI, achieving efficient ARB disinfection performance. Particularly, we found that the PI/H2O2 system (0.1 mM for both oxidants) could inactivate ARB (Escherichia coli) within 35 min. The intracellular defense system attacked by HO· radicals generated in the disinfection system, resulting in the inactivation of ARB. Antibiotic resistance genes (ARGs) released with the lysis of cell membrane could be further degraded by HO· radicals. Moreover, we found that the PI/H2O2 system was effective to inactivate ARB in a broad range of ionic strengths, with coexisting common ions and humic acid, as well as in four typical actual water bodies. The PI/H2O2 system could also efficiently disinfect other types of bacteria and degrade typical organic contaminants. In addition, under sunlight irradiation, the ARB inactivation performance of the PI/H2O2 system could be greatly improved. This study provided a practical and efficient way for decontaminating ARB/ARGs-polluted water.
Xie J, Yang S. Height arguments toward the dynamical Mordell-Lang problem in arbitrary characteristic. [Internet]. 2025. pdf
Wang H, Zou Y, Li L, Guo X, Zhang G, Liu Q, Lu G, Gao Y, Qu B, Yu W, et al. Highly Oriented Large-Grain 2D Cs3Bi2X9 Polycrystalline Films by an Isogenous-Lattice Homoepitaxy Strategy for Photodetection. NANO LETTERS. 2025;25:4037-4045.
Li F, Chen L, Su Z, Zheng Y, Cao F, Yang W, Wen D. Historical distribution and multi-dimensional environmental risk assessments of antibiotics in coastal sediments affected by land-based human activities. Marine Pollution Bulletin [Internet]. 2025;214:117731. 访问链接Abstract
Coastal sediment cores provide important records of land-based antibiotics' deposition. This study examined sediment cores from the Hangzhou Bay, East China Sea, dating back to 1980–2020 using 210Pbex. The 40-year analysis revealed a mismatch between sediment depth and age. Wastewater treatment facilities have significantly reduced antibiotics discharge into the sea. We identified 27 antibiotics, with enrofloxacin (ERFX) and nadifloxacin (NDFX) exhibiting the highest average concentrations of 84.9 and 83.4 ng/g, respectively. Quinolones (QNs) were prominent, displaying strong co-occurrence and similar distribution patterns shaped by comparable soil-water distribution coefficient (Kd). QNs correlated positively with total antibiotic concentration, serving as indicators. We proposed a multi-dimensional risk assessment of antibiotics, encompassing ecological and antimicrobial resistance (AMR) risks, complementing each other. The assessment revealed antibiotics with distinct risks: sulfacetamide (SCM) and clindamycin (CLIN) exhibited high ecological risks, while ERFX, ciprofloxacin (CFX), norfloxacin (NFX), gatifloxacin (GTFX), moxifloxacin (MXFX), and marbofloxacin (MBFX) presented high AMR risks.
Liu Z, Li W, Liu H, Zhang P. “I feel recognized and developed a sense of belonging”: Sustaining Volunteer Participation in Ancient Text Collation. The 28th ACM SIGCHI Conference on Computer-Supported Cooperative Work & Social Computing (CSCW). 2025.
He Y, Liu J, Wang X-P, Zhong Y-M. Implications of the KM3NeT Ultrahigh-energy Event on Neutrino Self-interactions. 2025.
Xu H, Zhang P. The Influence of Anonymity and Social Ties on Personal Experience Sharing: A Comprehensive Mixed-Methods Study, in The ACM International Conference on Supporting Group Work (GROUP ’25). New York, NY, USA: ACM; 2025.
Pan M, Zeng H, Wang E, Huang* H. Intrinsic Orbital Origin for the Chirality-Dependent Nonlinear Planar Hall Effect of Topological Nodal Fermions in Chiral Crystals. Phy. Rev. B [Internet]. 2025;111:111.075145. 访问链接
Chen, AX; Jia JY; LYZ; FLY. Investigating the effect of role-play activity with GenAI agent on EFL students' speaking performance. Journal of Educational Computing Research [Internet]. 2025;63(1):99-125. 访问链接
Gu J. An Investigation of the Impact of Cultural Distanceon the Digital Economy in China. Journal of the Knowledge Economy [Internet]. 2025;000:1-26. 访问链接Abstract
The digital economy has become a driving force for global economic development, resulting in high demand for balanced regional development. Using surname distance as a proxy variable for cultural distance, this study examined the impact of cultural differences on the development of a regional digital economy. The results of the analysis of panel data from 31 Chinese provinces from 2011 to 2019 indicated that the development of a region's digital economy positively contributes to the development of the digital economy in areas of cultural proximity. Further analysis of the mechanisms of cultural differences in the digital economy showed that cultural distance affects the development of the digital economy in a province through three mechanisms: birth rate, divorce rate, and the share of small families. Moreover, the findings suggest regional, divorce, and demographic heterogeneity in the impact of cultural distance on the digital economy.
Wu D, Wu X, Qu T. Leveraging Sound Source Trajectories for Universal Sound Separation. IEEE/ACM Transactions on Audio, Speech, and Language Processing. 2025;33:2337-2348.Abstract
Existing methods utilizing spatial information for sound source separation require prior knowledge of the direction of arrival (DOA) of the source or utilize estimated but imprecise localization results, which impairs the separation performance, especially when the sound sources are moving. In fact, sound source localization and separation are interconnected problems, that is, sound source localization facilitates sound separation while sound separation contributes to refined source localization. This paper proposes a method utilizing the mutual facilitation mechanism between sound source localization and separation for moving sources. The proposed method comprises three stages. The first stage is initial tracking, which tracks each sound source from the audio mixture based on the source signal envelope estimation. These tracking results may lack sufficient accuracy. The second stage involves mutual facilitation: Sound separation is conducted using preliminary sound source tracking results. Subsequently, sound source tracking is performed on the separated signals, thereby refining the tracking precision. The refined trajectories further improve separation performance. This mutual facilitation process can be iterated multiple times. In the third stage, a neural beamformer estimates precise single-channel separation results based on the refined tracking trajectories and multi-channel separation outputs. Simulation experiments conducted under reverberant conditions and with moving sound sources demonstrate that the proposed method can achieve more accurate separation based on refined tracking results.
Zhang Y, Zeng H, Huang H. Logarithmically-Enhanced Intrinsic Nonlinear Hall Effects in PT-symmetric Antiferromagnetic Nodal-Line Semimetals. Phy. Rev. B [Internet]. 2025;111:L081115. 访问链接
Bi Q, Guo J, Liu J, Luo Y, Wang X-P. Long-lived sterile neutrino searches at future muon colliders. Phys. Rev. D. 2025;111:075001.

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