科研成果

2025
金帆, 张鹏翼. 社交媒体中用户对人工智能生成图片的识别与认知研究——识别准确度、依据与态度探析. 情报理论与实践 [Internet]. 2025;2025. 访问链接
张逸凡, 马啸. 秩序与繁荣:族群联邦制与埃塞俄比亚的发展. 北大政治学评论. 2025;18.Abstract
本文基于对埃塞俄比亚的实地调研和一手资料收集,分析联邦制对经济发展的影响及其机制。近二十年来,埃塞俄比亚在“族群联邦制+发展型国家”的制度模式之下实现了经济腾飞。财政联邦主义理论认为,联邦制可以通过央地分权和可信承诺等机制促进经济发展,而埃塞俄比亚的模式则揭示了迥异于财政联邦主义理论的一种可能性:在利普哈特所谓“成分不一致的联邦”中,通过地理上区隔各个族群以减少冲突,为经济发展创造条件。同时,埃塞俄比亚尝试通过“发展型国家”模式推动经济发展,事实上也背离了联邦制的一些重要原则,揭示了二者的内在张力。近年来,这一模式的一些负面影响浮出水面,联邦制急需用新的方式为政治整合和经济发展作出贡献。
程瑛, 李烨琴 贾积有. 算法“红利”时代的师范人才培养:一种“技术—育人”融合框架. 中国人民大学教育学刊. 2025;(2):46-58+3-4.
2024
dos Santos* M C, Jia* T, J. Zuckerman*, M. Cochet*, D. Giri, Loscalzo E, K. Swaminathan, T. Tambe, Zhang J, A. Buyuktosunoglu, et al. A 12nm Linux-SMP-capable RISC-V SoC with 14 accelerator types, distributed hardware power management and flexible NoC-based data orchestration, in IEEE International Solid-State Circuits Conference (ISSCC).; 2024.
李雅瑄, 陈昂轩 贾积有. 2023中国教育技术研究前沿与热点年度报告. 中国电化教育. 2024;2024(3):121-126.
Liu# Y, Ma# Y, Shang N, Zhao T, Chen P, Wu M, Ru J, Jia T, Ye* L, Wang* Z, et al. A 22nm 0.26nW/Synapse Spike-Driven Spiking Neural Network Processing Unit Using Time-Step-First Dataflowand Sparsity-Adaptive In-Memory Computing. IEEE International Solid-State Circuits Conference (ISSCC 2024) [Internet]. 2024. Links
Y. Liu, Y. Ma, N. Shang, T. Zhao, P. Chen, M. Wu, J. Ru, T. Jia, L. Ye, Z. Wang, et al. A 22nm 0.26nW/synapse spike-driven spiking neural network processing unit using time-step-first dataflow and sparsity-adaptive in-memory computing, in IEEE International Solid-State Circuits Conference (ISSCC).; 2024.
Li S, Wang C, Xie G. 3D Circle Formation Control of VTOL Vehicles Without Distance Measurement. IEEE Transactions on Intelligent Vehicles [Internet]. 2024;9:3305–3315. 访问链接
Loscalzo E, Cochet M, Zuckerman J, Zaliasl S, Lekas M, Cahill S, Jia T, Swaminathan K, dos Santos MC, Giri D, et al. A 400-ns-Settling-Time Hybrid Dynamic Voltage Frequency Scaling Architecture and Its Application in a 22-Core Network-on-Chip SoC in 12nm FinFET Technology, in IEEE Symposium on VLSI Technology & Circuits (VLSI).; 2024.
Chen P, Wu M, Zhao W, Ma Y, Jia T, Ye L. A 44.3 TOPS/W SRAM Compute-in-Memory with Near-CIM Analog Memory and Activation for DAC/ADC-less Operations. IEEE Solid-State Circuits Letters. 2024.
Chen P, Wu M, Zhao W, Ma Y, Jia* T, Ye L. A 44.3 TOPS/W SRAM Compute-in-Memory With Near-CIM Analog Memory and Activation for DAC/ADC-Less Operations. IEEE Solid-State Circuits Letters [Internet]. 2024. Links
Ma L, Cai H, Ye X, Zhao S. Ability difference or gender symbolism? An empirical research on gender differences in academic career development of doctoral graduates in China. International Journal of Chinese Education [Internet]. 2024;13:2212585X241234347. 访问链接Abstract
The reform and opening-up of China have greatly improved the scale and quality of doctoral education for women. However, female doctors still face the “leaky pipeline” and the “unbreakable glass ceiling” in their development of academic careers. In this study, gender differences are investigated in doctoral graduates’ career choices, the level of educational institutions they attend, and their scientific research productivity after joining the institution. We analyzed the administrative data and scientific research publication information from ten years of doctoral graduates at a top research university in China. Results suggest that compared to their male counterparts, female doctors are more likely to pursue an academic career upon graduation, but they are also more likely to be employed in lower-level institutions as well as to publish Chinese scientific studies with lower influence and poorer quality. Moreover, gender differences in academic disciplines are heterogeneous. While academic career development for doctors in natural sciences is not gender-biased, female doctors in social sciences face the most significant challenges, and these results persist even after controlling for their scientific publications during graduate school. In other words, gender differences in academic career development are likely to result from gender symbols rather than differences in academic ability.
Jiao W, Wang K, Xu F. Absence of High-mass Prestellar Cores in the Orion Giant Molecular Cloud. The Astronomical Journal [Internet]. 2024;168:151. 访问链接Abstract
A fundamental difference between “core-fed” and “clump-fed” star-formation theories lies in the existence or absence of high-mass cores at the prestellar stage. However, only a handful of such cores have been observed. Here, different than previous search in distributed star-formation regions in the Galactic plane, we search for high-mass prestellar cores in the Orion GMC, by observing the seven most massive starless cores selected from previous deep continuum surveys. We present ALMA Atacama Compact Array Band 6 and Band 7 continuum and line observations toward the seven cores, in which we identify nine dense cores at both bands. The derived maximum core mass is less than 11 M ⊙, based on different dust temperatures. We find no high-mass prestellar cores in this sample, aligning with the results of previous surveys, thereby challenging the existence of such cores in Orion. Outside Orion, further detailed studies are needed for remaining high-mass prestellar core candidates to confirm their status as massive, starless cores.
Fan J, Li Z, Alcaide E, Ke* G, Huang* H, E* W. Accurate Conformation Sampling via Protein Structural Diffusion. J. Chem. Inf. Model. (Editors' Choice) [Internet]. 2024;64(22):8414–8426. 访问链接Abstract
https://www.biorxiv.org/content/10.1101/2024.05.20.594916v1
Li X, Ye C, Lu K, Xue C, Li X, Zhang Y. Accurately Predicting Spatiotemporal Variations of Near-Surface Nitrous Acid (HONO) Based on a Deep Learning Approach. Environmental Science & Technology: ES&T. 2024;(29):58.
Tian Y, Chen N, Yang X, Zhang R, Xu J, Li C, Yang W, Ren N, Feng Y, He W. Achieved advanced wastewater phosphate removal via improved ionic interference resistance in a migration-electric-field assisted electrocoagulation (MEAEC) system with modified-biochar pseudocapacitor electrode. Separation and Purification Technology. 2024;328:124972.
Liu C, Yu X, Wang D, Jiang T. ACLNet: A Deep Learning Model for ACL Rupture Classification Combined with Bone Morphology, in The 27th International Conference on Medical Image Computing and Computer Assisted Intervention,MICCAI 2024, October 6-10.Vol 15005. Marrakesh, Morocco: Springer; 2024:57–67. 访问链接Abstract
Magnetic Resonance Imaging (MRI) is widely used in diagnosing anterior cruciate ligament (ACL) injuries due to its ability to provide detailed image data. However, existing deep learning approaches often overlook additional factors beyond the image itself. In this study, we aim to bridge this gap by exploring the relationship between ACL rupture and the bone morphology of the femur and tibia. Leveraging extensive clinical experience, we acknowledge the significance of this morphological data, which is not readily observed manually. To effectively incorporate this vital information, we introduce ACLNet, a novel model that combines the convolutional representation of MRI images with the transformer representation of bone morphological point clouds. This integration significantly enhances ACL injury predictions by leveraging both imaging and geometric data. Our methodology demonstrated an enhancement in diagnostic precision on the in-house dataset compared to image-only methods, elevating the accuracy from 87.59% to 92.57%. This strategy of utilizing implicitly relevant information to enhance performance holds promise for a variety of medical-related tasks.
Yu B, Liang J, Wang Z, Fan B, Subpa-asa A, Shi B, Sato I. Active Hyperspectral Imaging Using an Event Camera, in Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).; 2024.Abstract
Hyperspectral imaging plays a critical role in numerous scientific and industrial fields. Conventional hyperspectral imaging systems often struggle with the trade-off between spectral and temporal resolution, particularly in dynamic environments. In ours work, we present an innovative event-based active hyperspectral imaging system designed for real-time performance in dynamic scenes. By integrating a diffraction grating and rotating mirror with an event-based camera, the proposed system captures high-fidelity spectral information at a microsecond temporal resolution, leveraging the event camera's unique capability to detect instantaneous changes in brightness rather than absolute intensity. The proposed system trade-off between conventional frame-based systems by reducing the bandwidth and computational load and mosaic-based system by remaining the original sensor spatial resolution. It records only meaningful changes in brightness, achieving high temporal and spectral resolution with minimal latency and is practical for real-time applications in complex dynamic conditions.
Wei X, Hu J, Liu C, Xie X, Yin J, Guo S, Hu M, Peng J, Wang H. Advanced modeling of the absorption enhancement of black carbon particles in chamber experiments by considering the morphology and coating thickness. Frontiers of Environmental Science and Engineering. 2024;18(9).
Zhu T, Liu YJ, Xu S, Dong G, Huang C, Sang N, Zhang Y, Su G, Chen J, Gong J, et al. Advances and perspectives in environmental health research in China. Front. Environ. Sci. Eng. 2024;18:76.

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