[J46] Di K, Li J, Chen S, Chen S, Yu F, Mazhar N, Jiang W, Zhang Y*, Zou N*, All-Optical Wearable Gesture Sensing with a Learnable Photonic Linear Filter Bank for Near-Sensor Classification, Journal of Lightwave Technology (JCR Q1, IF=4.8), 2026, 1558-2213. https://doi.org/10.1109/JLT.2026.3702097. (PDF)

[J45] Zeng Z, Wang Y, Wang J, Lei T, Feng M, Zou N*, Multi-Domain Transformer IQA Algorithm for AOI Optical Scheme Evaluation, Results in Engineering (JCR Q1, IF=7.9), 2026, (30), 111382. https://doi.org/10.1016/j.rineng.2026.111382. (PDF)

[J44] Feng M, Zhang X, Di K, Zeng Z, Wang Y, Wang B, Zhang T, Zhang Y, Zhang Y, Zou N*, TideMamba: a hybrid time-series decomposition and Mamba-based architecture for multivariate anomaly detection, Measurement (JCR Q1, IF=5.6), 2026, (283), 122144. https://doi.org/10.1016/j.measurement.2026.122144. (PDF)

[J43] Li H, Zou N, Xiao T, Mazhar N, Zhang Y*, Ma J, Wang X, Zhang X*, Liang E, Ultra-narrow linewidth measurement of laser based on mutation particle swarm optimization of Voigt spectrum iteration process, Optics & Laser Technology (JCR Q1, IF=5.0), 2026, (203), 115643. https://doi.org/10.1016/j.optlastec.2026.115643. (PDF)

[J42] Bao X, Wang H, Chen S, Zhang Y, Chen W, Di K, Lv M, Zhao M, Wang G, Zhao W, Zou N*, OptoChat: A large language model with retrieval augmented generation for optics, Journal of Physics: Photonics (JCR Q1, IF=8.4), 2026, (8), 026001. https://doi.org/10.1088/2515-7647/ae7491. (PDF)

[J41] Wang H, Zhang X, Awan I, Zhou G, Li H, Wang J, Zhang D, Zou N*, Shan Y*, Zhang Y*, Online PCCP wire break monitoring based on integrated and intelligent distributed fiber optic acoustic field sensing, Engineering Structures (JCR Q1, IF=6.4), 2026, (354), 122396. https://doi.org/10.1016/j.engstruct.2026.122396. (PDF)

[J40] Feng M, Zou X, Liu L, Wu S, Zhang H, Chen S, Zeng Z, Wang Y, Zhang X, Zhang X, Li T*, Zou N*, CrossMicroNet: a cross-scale small-sample image restoration framework for two-dimensional material microscopy imaging, Nanoscale (JCR Q1, IF=5.1), The Royal Society of Chemistry, 2026, (18), 13313-13327. https://doi.org/10.1039/D6NR01702A. (PDF)

[J39] Chen S, Di K, Liu A, Wang G, Zhao W, Zhu B, Du L and Zou N*, Geometric-Robust Contrastive Learning Framework with Layout Topology Representation and Self-Calibration Voting for Hotspot Detection, IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 1, 1937-4151(2026). https://doi.org/10.1109/TCAD.2026.3671644. (PDF)

[J38] Liu L, Wang Y, Dong R, Fan D, Meng S, Wu L, Wu S, Xu W, Feng M, Zou N, Yan Q, Hu Z, Lu F, Zhu S, Gao Y, Ma L, Shi Y, Li T*, Wang J* and Wang X*, Kinetic acceleration of MoS2 growth by oxy-metal-organic chemical vapor deposition, Science (JCR Q1, IF=45.8), 2026, (391), 494-498. https://doi.org/10.1126/science.aec7259. (PDF)

[J37] Ma T, Zhang X, Liu B, Mazhar N, Zou N, Shan Y* and Zhang Y*, High-performance PGC algorithm for a Φ-OTDR system based on multi-carrier mixing, Opt. Express, 34, 1465-1481, 2026. https://doi.org/10.1364/OE.584056. (PDF)

[J36] Du M, Li W*, Shu H, Xiong G, Zhao C, Hou F, Gan W, Gong X, Zou N, Liu L, Zou X, Li T, Sun W, Fan D, Yu Z, Tu X, Gao Y, Shen H, Qiu H, Ma L, Wang J, Nie Y, Tao L, Xu J, Shi Y, Wang X*, Scaled crystalline antimony ohmic contacts for two-dimensional transistors, Nature Electronics (JCR Q1, IF=40.9), 2025, (8), 1191–1200. https://doi.org/10.1038/s41928-025-01500-4. (PDF)

[J35] Chen S, Di K, Huang Y, Zhu B, Zou N*, You Only Need Non-hotspot: An Unsupervised Training-Free Method for Layout Hotspot Detection, ACM Transactions on Design Automation of Electronic Systems, vol. 31, no. 1, pp. 14:1–14:24, 2025, https://doi.org/10.1145/3771767. (PDF)

[J34] Yan S, Zou N, Shang Y, Liu B, Zhou X, Awan I N, Zhang Y*, Zhang X*, LR-Net for Weak Vibration Event Location and Recognition with DAS, IEEE Sensors Journal, 2025, (25), 42954-42963 https://doi.org/10.1109/JSEN.2025.3616499. (PDF)

[J33] Chen W, Zhang Y, Zeng Z, Chen S, Di K, Wang G, Li C and Zou N*, Improved Algorithm of Dueling DQN for BSIM Parameter Extraction Task, Journal of the Electron Devices Society, 2025, (13), 1065-1074. https://doi.org/10.1109/JEDS.2025.3619523 (PDF) /Link

[J32] Liu L, Li T, Gong X, Wen H, Zhou L, Feng M, Zhang H, Zou N, Wu S, Li Y, Zhu S, Zhuo F, Zou X, Hu Z, Ding Z, Fang S, Xu W, Hou X, Zhang K, Long G, Tang L, Jiang Y, Yu Z, Ma L, Wang J, Wang X*, Homoepitaxial growth of large-area rhombohedral-stacked MoS2, Nature Materials (JCR Q1, IF=38.5), 2025, (24), 1195–1202 https://doi.org/10.1038/s41563-025-02274-y. (PDF)

[J31] Ding H, Zhang X, Tang S, Deng Q, Zhang C, Tong S, Zhang Y*, Liu H, Xiong F, Zou N*, Demodulation method for heterodyne Φ-OTDR with fading noise suppression based on Fourier transform and spatial-temporal phase compensation, Measurement (JCR Q1, IF=5.6), 2025, 256, 118214, https://doi.org/10.1016/j.measurement.2025.118214. (PDF)

[J30] Tong S, Tang S, Lu Y, Yuan N, Zhang C, Liu H, Zhang D, Zou N, Zhang X*, Zhang Y*, A Fading Suppression Method for Φ-OTDR Systems Based on Multi-Domain Multiplexing, Sensors, 2025, (25), 2629, https://doi.org/10.3390/s25082629. (PDF)

[J29] Zhang C, Luo C, Zhang X, Tang S, Ding C, Awan I, Tong S, Ding H, Xiao T, Zou N, Zhang Y*, and Zhang X*, Study on the spectral characteristics of IF signals and its influence on the performance of heterodyne Φ-OTDR, Opt. Express, 2025, (33), 16389-16407, https://doi.org/10.1364/OE.559338. (PDF)

[J28] Yu F, Di K, Chen W, Yan S, Yao Y, Chen S, Zhang X, Zhang Y*, Zou N* and Jiang W*, Time-wavelength multiplexed photonic neural network accelerator for distributed acoustic sensing systems, Advanced Photonics (JCR Q1, IF=18.8), 2025, 7(2), 026008, https://doi.org/10.1117/1.AP.7.2.026008. (PDF) Media Report: SPIE News, Optics.org, AAAS, Techxplore, SciTechDaily, AZOOptics

[J27] Chen S, Di K, Xu Y, Ye H, Luo W, Zou N*, FedDyMem: Efficient Federated Learning with Dynamic Memory and Memory-Reduce for Unsupervised Image Anomaly Detection. https://doi.org/10.48550/arxiv.2502.21012. (PDF)

[J26] Chen S, Wang Q, Di K, Xiong H, Zou N*, Look Twice and Closer: A Coarse-to-Fine Segmentation Network for Small Objects in Remote Sensing Images. IEEE Signal Processing Letters, 2025, (32), 826-830. https://doi.org/10.1109/LSP.2025.3540374 (PDF)

[J25] Tong S, Zhao X, Zhang C, Ding C, Ding H, Awan I N, Zou N, Liu H, Xiong F, Zhang Y, and Zhang X, Research on PFN suppression methods in φ-OTDR systems based on the MSI-VPFN algorithm, Optics Express, vol. 32, no. 26, pp. 47123–47136, 2024. https://doi.org/10.1364/OE.544953

[J24] Yao Y, Wang R, Ding H, Tong S, Han Y, Zhao S, Zou N, Xiong F, and Zhang Y, A fast and accurate mapping method for an OPGW tower based on hybrid distributed optical fiber sensing, Sensors, vol. 24, no. 17, p. 5629, 2024. https://doi.org/10.3390/s24175629

[J23] Zhong Z, Zou N*, and Zhang X, Research on the conversion coefficient in coherent Φ-OTDR and its intrinsic impact on localization accuracy, Photonics, vol. 11, p. 901, 2024. https://doi.org/10.3390/photonics11100901

[J22] Zhong Z, Zhang X, Zou N, Multiplication of signal sampling rate by dual-frequency light in phase optical time-domain reflector, Acta Optica Sinica, vol. 44, no. 1, p. 0106028, 2024. https://doi.org/10.3788/AOS202444.0106028

[J21] Xu R, Tan Y, Kong M, Zhang H, Liu X, and Zou N*, Measurement and analysis of the dynamic response of a double-liquid lens driven by sinusoidal signals, JOSA B, vol. 39, no. 9, pp. 2478–2485, 2022. https://doi.org/10.1364/JOSAB.463610

[J20] Chen X, Zou N, Wan Y, Ding Z, Zhang C, Tong S, Lu Y, Wang F, Xiong F, Zhang Y, and Zhang X, On-line status monitoring and surrounding environment perception of an underwater cable based on the phase-locked Φ-OTDR sensing system, Optics Express, vol. 30, no. 17, pp. 30312–30330, 2022. https://doi.org/10.1364/OE.458546

[J19] Zhang X, Chen X, Liang L, Zhao S, He R, Tong S, Wang F, Zou N*, and Zhang Y*, Enhanced C-OTDR-based online monitoring scheme for long-distance submarine cables, Acta Optica Sinica, vol. 41, no. 13, p. 1306001, 2021. https://doi.org/10.3788/AOS202141.1306001

[J18] Zhang X, Ding Z, Hong R, Chen X, Liang L, Zhang C, Wang F, Zou N*, and Zhang Y, Phase-sensitive optical time-domain reflective distributed optical fiber sensing technology, Acta Optica Sinica, vol. 41, no. 1, p. 0106004, 2021. https://doi.org/10.3788/AOS202141.0106004

[J17] Zhong Z, Zou N, and Zhang X, Accurate measurement for the subsequent perturbation in the coherent Φ-OTDR system with small laser-frequency-drift, Journal of Lightwave Technology, vol. 39, no. 18, pp. 5973–5979, 2021. https://doi.org/10.1109/JLT.2021.3078747

[J16] Ding Z, Zhang X, Zou N, Xiong F, Song J, Fang X, and Zhang Y, Φ-OTDR-based online monitoring of overhead power transmission line, Journal of Lightwave Technology, vol. 39, no. 15, pp. 5163–5169, 2021. https://doi.org/10.1109/JLT.2021.3051696

[J15] Zhang Y, Zhou T, Ding Z, Lu Y, Zhang Y, Wang F, and Zou N*, Classification of interference-fading suppressed Φ-OTDR signal using optimal peak-seeking and machine learning, Chinese Optics Letters, vol. 19, no. 3, p. 030601, 2021. https://doi.org/10.3788/COL202119.030601

[J14] Chen X, Zou N, Liang L, He R, Liu J, Wang F, and Zhang X, Submarine cable monitoring system based on enhanced COTDR with simultaneous loss measurement and vibration monitoring ability, Optics Express, vol. 29, no. 9, pp. 13115–13128, 2021. https://doi.org/10.1364/OE.414386

[J13] Mao X, Liu C, Hesari M, Zou N, and Chen P, Super-resolution imaging of non-fluorescent reactions via competition, Nature Chemistry (JCR Q1, IF=20.7), vol. 11, pp. 687–694, 2019. https://doi.org/10.1038/s41557-019-0288-8

[J12] An R, Wang G, Jiao W, Ji W, Jiang M, Zou N, and Zhang X, Controllable trapping and releasing of nanoparticles by standing wave on optical waveguide, Optics Letters, vol. 43, no. 16, pp. 3901–3904, 2018. https://doi.org/10.1364/OL.43.003901

[J11] Zou N, Chen G, Mao X, Zhou X, Shen H, Choudhary E, and Chen P, Imaging catalytic hot-spots on plasmonic nanostructures via correlated super-resolution microscopy and electron microscopy, ACS Nano (JCR Q1, IF=16.1), vol. 12, no. 6, pp. 5570–5579, 2018. https://doi.org/10.1021/acsnano.8b01338

[J10] Zou N, Zhou X, Chen G, Andoy NM, Jung W, Liu G, and Chen P, Cooperative communication within and between single nanocatalysts, Nature Chemistry (JCR Q1, IF=20.7), vol. 10, pp. 607–614, 2018. https://doi.org/10.1038/s41557-018-0022-y

[J9] Jiang M, Wang G, Xu W, Ji W, Zou N, Ho H, and Zhang X, Two-dimensional arbitrary nano-manipulation on a plasmonic metasurface, Optics Letters, vol. 43, no. 7, pp. 1602–1605, 2018. https://doi.org/10.1364/OL.43.001602

[J8] Chen G, Zou N, Chen B, Sambur J, Choudhary E, and Chen P, Bimetallic effect of single nanocatalysts visualized by super-resolution catalysis imaging, ACS Central Science (JCR Q1, IF=10.4), vol. 3, no. 11, pp. 1189–1197, 2017. https://doi.org/10.1021/acscentsci.7b00377

[J7] Jiang M, Wang G, Jiao W, Ying Z, Zou N, Ho H, Sun T, and Zhang X, Plasmonic non-concentric nano-rings array as unidirectional nano-optical conveyor belt actuated by polarization rotation, Optics Letters, vol. 42, no. 2, pp. 259–262, 2017. https://doi.org/10.1364/OL.42.000259

[J6] Sambur J, Chen T, Choudhary E, Chen G, Nissen E, Thomas E, Zou N, and Chen P, Sub-particle reaction and photocurrent mapping to optimize catalyst-modified photoanodes, Nature (JCR Q1, IF=48.5), vol. 530, pp. 77–80, 2016. https://doi.org/10.1038/nature16534

[J5] Jiao W, Wang G, Ying Z, Kang Z, Sun T, Zou N, Ho H, and Zhang X, Optofluidic switching of nanoparticles based on a WDM tree splitter, IEEE Photonics Journal, vol. 8, no. 3, pp. 1–10, 2016. https://doi.org/10.1109/JPHOT.2016.2563063

[J4] Wang G, Ying Z, Ho H, Huang Y, Zou N, and Zhang X, Nano-optical conveyor belt with waveguide-coupled excitation, Optics Letters, vol. 41, no. 3, pp. 528–531, 2016. https://doi.org/10.1364/OL.41.000528

[J3] Chen P, Zhou X, Andoy NM, Han K-S, Choudhary E, Zou N, Chen G, and Shen H, Spatiotemporal catalytic dynamics within single nanocatalysts revealed by single-molecule microscopy, Chemical Society Reviews (JCR Q1, IF=39.3), vol. 43, pp. 1107–1117, 2014. https://doi.org/10.1039/C3CS60215J

[J2] Shen H, Zhou X, Zou N, and Chen P, Single-molecule kinetics reveals a hidden surface reaction intermediate in single-nanoparticle catalysis, Journal of Physical Chemistry C, vol. 118, pp. 26902–26911, 2014. https://doi.org/10.1021/jp509507u

[J1] Zhou X, Choudhary E, Andoy NM, Zou N, and Chen P, Scalable parallel screening of catalyst activity at the single-particle level and subdiffraction resolution, ACS Catalysis (JCR Q1, IF=13.3), vol. 3, no. 7, pp. 1448–1453, 2013. https://doi.org/10.1021/cs400277a

[C20] Zhang T, Zang Z, Zou N*, HLRAD: High-dimensional Latent Representation for Unified Anomaly Detection, The 19th European Conference on Computer Vision (ECCV 2026) (CCF-B), September 8–12th, 2026, Malmö, Sweden. (PDF)

[C19] Feng M, Zou X, Zhang H, Zou C, Chen S, Xu W, Zhang X, Li T, Zou N*, Dynamic Processes in Chemical-Vapor Deposition of Transition-Metal Dichalcogenides Revealed by AI-Driven Operando Metrology, IEEE International Conference on Nanotechnology, July 5-8, 2026 (accepted). (PDF)

[C18] Li J, Chen S, Wang Y, Di K, Du L, Zou N*, MODiff: Layout-Guided Mask Optimization via Diffusion Model, 2026 International Symposium of EDA (ISEDA), Singapore, May, 2026. (PDF)

[C17] Zhang Y, Xu Z, Zang Y, Li J, Chen S, Wang Z, Chiang C*, Zou N*,Boundary-Only Layout Encoding for Lithography Hotspot Detection, 2026 International Symposium of EDA (ISEDA), Singapore, May, 2026. (PDF)

[C16] Zang Y, Wang Y, Chen S, Li J, Xu Z, Zhang Y, Zhang H*, Li C*, Zou N*, TC-FNO: Fourier Neural Operator with Learnable Time-Step Embedding for 3D Lithography Exposure Simulation, 2026 International Symposium of EDA (ISEDA), Singapore, May, 2026. (PDF)

[C15] Zhang H, Cao S and Zou N*, FALCO-WAFER: Feature-Aware Lightweight Contextual Detector for Wafer Defect Detection, 2025 IEEE International Test Conference in Asia (ITC-Asia), Tokyo, Japan, 2025, pp. 43-47. https://doi.org/10.1109/ITC-Asia67627.2025.00016. (PDF)

[C14] Liu A, Chen S, Wang G, Zhao W, Fu Y, Zou N*, Understand and Detect: Lithographic Hotspot Detection by the Interpretable Graph Attention Network, 2026 31st Asia and South Pacific Design Automation Conference (ASP-DAC), Lantau, Hong Kong, 2026, pp. 618-624. https://doi.org/10.1109/ASP-DAC66049.2026.11420514. (PDF)

[C13] Xu W, Chen S, Huang Y, Zhang X, Wang Z, Yu B and Zou N*, Node2Node: Node Adaptation with Transformer for Cross-Node Hotspot Detection, IEEE/ACM Proceedings Design Automation and Test in Europe (DATE) (CCF-B), Verona, Italy, Apr. 20–22, 2026. https://doi.org/10.23919/DATE69613.2026.11539589. (PDF)

[C12] Huang Y, Chen S, Shu H, Wang J, Xu W, Zou N*, SVD-based Layout Representation for Lithographic Hotspot Detection, Proc. SPIE 13991, Ninth International Workshop on Advanced Patterning Solutions (IWAPS 2025), Shen Zhen, China, 2025, 1399114. https://doi.org/10.1117/12.3093251. (PDF)

[C11] Zhong Z, Zou N and Zhang X, Advances in distributed fiber optic acoustic sensing technology based on linear distribution of phase change, Proceedings Volume 13654, First Conference on Distributed Optical Fiber Sensing Technology and Applications (DOFS 2024) , 136541I (2025) https://doi.org/10.1117/12.3058455

[C10] Lei T, Chen S, Wang B, Jiang Z, Zou N*, Adapted-MoE: Mixture of Experts with Test-Time Adaption for Anomaly Detection, Advanced Intelligent Computing Technology and Applications. ICIC 2025. vol 15852, 427–441. Springer, Singapore. https://doi.org/10.1007/978-981-96-9891-2_36. (PDF)

[C9] Xu W, Chen S, Li J, Di K, Fu Y and Zou N*, When Transformer Meets Layout Hotspot: An End-to-End Transformer-based Detector with Prior Lithography, GLSVLSI'25: Proceedings of the Great Lakes Symposium on VLSI, ACM/IEEE, 2025, 612-618 https://doi.org/10.1145/3716368.3735160 (PDF) /Link

[C8] Chen S, Di K, Wang G, Zhao W, Du L, Zou N*, Delving into Topology Representation for Layout Pattern: A Novel Contrastive Learning Framework for Hotspot Detection, 2025 62nd ACM/IEEE Design Automation Conference (DAC) (CCF-A), San Francisco, CA, USA, 2025, pp. 1-6, https://doi.org/10.1109/DAC63849.2025.11133380. (PDF)

[C7] Li Y, Ma J, Zhao X, Li H, Tong S, Zou N, Zhang X, Xiong F, Zhang Y* and Liu H*, A digital emergency communication method for coal mining accident based on distributed acoustic sensor, ICOCN-2024, Jul. 2024. https://doi.org/10.1109/ICOCN63276.2024.10648435

[C6] Wang R, Li H, Zhao X, Tong S, Zou N, Zhang X, Liu H, Xiong F*, and Zhang Y*, Fast and accurate mapping method for OPGW tower based on M-OTDR, ICOCN-2024, Jul. 2024.https://doi.org/10.1109/ICOCN63276.2024.10648330

[C5] Yao Y, Zou N, Zhang C, Gao Q, Wan Y, Wang R, Zhao S, Wang F, Zhang Y, and Zhang X, Research on fault identification technology of sound barrier based on distributed optical fiber sensing Proc. SPIE 12314, Optoelectronic Devices and Integration XI, 123140H, (29 Dec 2022). https://doi.org/10.1117/12.2643963

[C4] Zou N*, Rose A, and Ting R, Machine learning methods for FEOL/MEOL defects measurement through SRAM bitmap, ISTFA 2022, pp. 43–46, 2022. https://doi.org/10.31399/asm.cp.istfa2022p0043

[C3] Zheng Y, Zhang C, Xiong F, Zou N, Zhang Y, Liu J, Ding Z, Chen X, Wang F, and Zhang Y, A fading-tolerant coherent Φ-OTDR system based on phase-locking structure, Photonics Asia 2020, 2020.

[C2] Zhang Y, Zhou T, Ding Z, Zhang X, Wang F, Zou N*, Classification of interference-fading suppressed Φ-OTDR signal using optimal peak-seeking and machine learning, Proc. SPIE 11547, Optoelectronic Devices and Integration IX, 1154708, (10 Oct 2020).

[C1] Zou N, Jiang M, Jiao W, and Wang G, Optical manipulation and catalytic activity enhanced by surface plasmon effect, Proc. SPIE, vol. 10080, p. 100800G, 2017. (Invited talk)