Publications
2026
58. 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.
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57. 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.
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56. 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.
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55. 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.
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54. 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.
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53. 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, 391, 494-498(2026).
https://doi.org/10.1126/science.aec7259.
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52. 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.
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51. 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.
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50. 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), Verona, Italy, Apr. 20–22, 2026, accepted.
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2025
49. 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, 2025, 2520-1131.
https://doi.org/10.1038/s41928-025-01500-4.
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48. 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.
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47. 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.
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46. 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,
https://doi.org/10.1109/JSEN.2025.3616499.
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45. 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
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44. 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, 2025, 1476-4660,
https://doi.org/10.1038/s41563-025-02274-y.
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43. 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, 2025, 256, 0263-2241,
https://doi.org/10.1016/j.measurement.2025.118214.
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42. 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
41. 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.
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40. 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
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39. 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.
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38. 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.
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37. 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, 2025, 7(2), 026008,
https://doi.org/10.1117/1.AP.7.2.026008.
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Media Report:
SPIE News,
Optics.org,
AAAS,
Techxplore,
SciTechDaily,
AZOOptics
36. 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.
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35. 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), San Francisco, CA, USA, 2025, pp. 1-6,
https://doi.org/10.1109/DAC63849.2025.11133380.
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34. 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
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Previous
33. 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
32. 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
31. 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
30. 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
29. 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
28. 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
27. 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,” Optoelectronic Devices and Integration XI, vol. 12314, p. 123140H, 2022. https://doi.org/10.1117/12.2643963
26. 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
25. 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
24. 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
23. 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
22. 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
21. 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
20. 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
19. 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
18. 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
17. 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.
16. 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, Optoelectronic Devices and Integration IX, vol. 11547, p. 1154708, 2020.
15. Mao X, Liu C, Hesari M, Zou N, and Chen P, Super-resolution imaging of non-fluorescent reactions via competition, Nature Chemistry, vol. 11, pp. 687–694, 2019. https://doi.org/10.1038/s41557-019-0288-8
14. Jiang M, Wang G, Xu W, Xu X, Ji W, Zou N, and Zhang X, Integrated optofluidic micro-pumps in micro-channels with uniform excitation of a polarization rotating beam, Optics Letters, vol. 44, no. 1, pp. 53–56, 2019. https://doi.org/10.1364/OL.44.000053
13. 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
12. 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, vol. 12, no. 6, pp. 5570–5579, 2018. https://doi.org/10.1021/acsnano.8b01338
11. Zou N, Zhou X, Chen G, Andoy NM, Jung W, Liu G, and Chen P, Cooperative communication within and between single nanocatalysts, Nature Chemistry, vol. 10, pp. 607–614, 2018. https://doi.org/10.1038/s41557-018-0022-y
10. 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
9. 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, vol. 3, no. 11, pp. 1189–1197, 2017. https://doi.org/10.1021/acscentsci.7b00377
8. 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
7. 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)
6. 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, vol. 530, pp. 77–80, 2016. https://doi.org/10.1038/nature16534
5. 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
4. 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
3. 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, vol. 43, pp. 1107–1117, 2014. https://doi.org/10.1039/C3CS60215J
2. 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
1. 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, vol. 3, no. 7, pp. 1448–1453, 2013. https://doi.org/10.1021/cs400277a
Patents
12. 一种基于强化学习的AOI光学方案自动优化方法,邹宁睦;王景晗;王艺儒;雷天悟;曾梓康;张天瑞;王国浩,ZL 2025 1 1241779.0
(PDF)
11. 一种基于混合网络的单聚合物生长精确定位方法及系统,邹宁睦;丁浩;冯明伟;邸康健;张益昕,ZL 2025 1 1202730.4
(PDF)
10. 一种基于Transformer的端到端芯片版图热点检测方法,邹宁睦;许文博;黄奕博;陈思霖;邸康健;傅玉祥,ZL 2025 1 0421005.X
(PDF)
9. 基于混合专家模型的缺陷检测方法、系统及存储介质,邹宁睦;雷天悟;陈思霖;王柏涵,ZL 2025 1 0272595.4
(PDF)
8. 基于位置编码的晶圆图像质量评估方法、装置、设备及存储介质,邹宁睦;王艺儒;雷天悟;曾梓康;陈文军;张雅丽;曹书嵘,ZL 2025 1 0269402.X
(PDF)
7. 一种基于图像特征的材料生长分析方法,邹宁睦;张昊天;冯明伟;邹茜璐;李涛涛,ZL 2025 1 0055195.8
(PDF)
6. 一种芯片版图图案拓扑表示及热点检测方法,邹宁睦;陈思霖;邸康健;许文博;王柏涵;张昊天;陈文军,ZL 2024 1 1855892.3
(PDF)
5. 一种基于光神经网络的光通信信号优化的方法及装置,邹宁睦;邸康健;张益昕;于福浩;谢佳晨;江伟;陈思霖;张旭苹,ZL 2024 1 1625873.1
(PDF)
4. 一种基于Dueling DQN的改进BSIM参数提取方法,邹宁睦;陈文军;张雅丽;邱浩;邸康健;陈思霖,ZL 2024 1 1557484.X
(PDF)
3. 一种基于深度学习的纳米薄膜材料原位显微图像表征方法,邹宁睦;张昊天;冯明伟,ZL 2024 1 1537453.8
(PDF)
2. 一种基于偏振加权的光子卷积神经网络系统及实现方法,邹宁睦;陈文军;邸康健;张益昕;于福浩;江伟;张旭苹,ZL 2024 1 1475821.0
(PDF)
1. 一种基于光计算的分布式光纤传感事件识别方法及装置,邹宁睦;冯明伟;邸康健;张益昕;张旭苹;于福浩;江伟,ZL 2024 1 1147327.1
(PDF)