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期刊

  1. Yi Wang; Ni, D*; Huang, Z*; Chen, P;#A self-supervised representation learning method for complex wafer bin map classification, Expert Systems with Applications, 2024, Accepted
  2. Yujun Liu; Ni, D*; Wang, Z;# A fault-tolerant soft sensor algorithm based on long short-term memory network for uneven batch process, Processes, 2024, 12(3), 495
  3. Yian Wang; Wu, Z; Ni, D*;# Real-time Optimization of Heliostat Field Aiming Strategy via an IUPSO Algorithm, Applied Sciences, 2024, 14(1), 416
  4. Sipei Wu; Ni, D*;# A Method for Real-time Optimal Heliostat Aiming Strategy Generation via Deep Learning, Engineering Applications of Artificial Intelligence, 2024, 127:107279
  5. Yujun Liu; Ni, D*; Shao, X; Gong, D; Li, J;# A Hierarchical Model-based method for wafer level virtual metrology under process information deficiency, Quality Engineering, 2023, DOI: 10.1080/08982112.2023.2252891
  6. Yi Wang; Ni, D*; Huang, Z*;# A momentum contrastive learning framework for low-data wafer defect classification in semiconductor manufacturing, Applied Sciences, 2023, 13(10), 5894
  7. Yi Wang; Ni, D*;# A Deep Learning Analysis Framework for Complex Wafer Bin Map Classification, IEEE Transactions on Semiconductor Manufacturing, 2023, 36(3): 367-377
  8. Gang Xiao; Wang, Z; Ni,D; Zhu,P*;# Kinetics and structural optimization of cobalt oxide honeycomb structures based on thermochemical heat storage, Energies, 2023, 16(7): 3237
  9. Ruidi Zhu; Ni, D*;# A Model Predictive Control Approach for Heliostat Field Power Regulatory Aiming Strategy under Varying Cloud Shadowing Conditions, Energies, 2023, 16(7): 2997
  10. Lingfeng Liu; Ni, D*; Dai, L;# Spatial Anomaly Detection in Hyperspectral Imaging using Optical Neural Networks, IEEE Intelligent Systems, 2023, 38(2): 64-72
  11. Gang Xiao; Yang, J; Ni, D*;# Model Predictive Control of a Solar Power System with Micro Turbine and Thermochemical Energy Storage, Industrial & Engineering Chemistry Research, 2022, 61, 13532-13558
  12. Tianqi Xiao; Wu, Z; Christofides, PD; Armaou, A; Ni, D*;# Recurrent neural network based model predictive control of a plasma etch process, Industrial & Engineering Chemistry Research, 2022, 61(1): 638–652
  13. Ruidi Zhu; Ni, D*; Yang, T; Yang, J; Chen, J; Xiao, G;# Heliostat Field Aiming Strategy Optimization with Post-installation Calibration, Applied Thermal Engineering, 2022, 202: 117720
  14. Yuting Kong; Ni, D*;# A One-shot Learning Approach for Similarity Retrieval of Wafer Bin Maps with Unknown Failure Pattern, IEEE Transactions on Semiconductor Manufacturing, 2022, 35(1): 40-49
  15. Zhichen Zeng; Ni, D*; Xiao, G;# Real-time heliostat field aiming strategy optimization based on reinforcement learning, Applied Energy, 2022, 307: 118224
  16. Jiayang Ren; Ni, D*;# A Real-time Monitoring Framework for Wafer Fabrication Processes with Run-to-Run Variations, IEEE Transactions on Semiconductor Manufacturing, 2021, 34(4): 483-492
  17. Jiamin Yang; Xiao, G*; Ghavami, M; Al-Zaili, J; Yang, T; Sayma, A; Ni, D;# Thermodynamic modelling and real-time control strategies of solar micro gas turbine system with thermochemical energy storage, Journal of Cleaner Production, 2021, 304:127010
  18. Tianqi Xiao; Ni, D*;# Multiscale Modeling and Recurrent Neural Network Based Optimization of a Plasma Etch Process, Processes, 2021, 9(1), 151
  19. Yuting Kong; Ni, D*;# Qualitative and Quantitative Analysis of Multi-Pattern Wafer Bin Maps, IEEE Transactions on Semiconductor Manufacturing, 2020, 33(4): 578-586
  20. Jiayang Ren; Ni, D*;# A Batch-Wise LSTM-Encoder Decoder Network for Batch Process Monitoring, Chemical Engineering Research and Design, 2020, 164: 102-112
  21. Tianqi Xiao; Ni, D*;# Multiscale Modeling and Neural Network Model Based Control of a Plasma Etch Process, Chemical Engineering Research and Design, 2020, 164: 113-124
  22. Yuting Kong; Ni, D*;# A Semi-Supervised and Incremental Modeling Framework for Wafer Map Classification, IEEE Transactions on Semiconductor Manufacturing, 2020, 33(1): 62-71
  23. Junyao Xie; Xu, Q; Ni, D; Dubljevic, S*;# Observer and Filter Design for Linear Transport-Reaction Systems, European Journal of Control, 2019, 49: 26-43
  24. Guilherme Ozorio Cassol; Ni, D; Dubljevic, S*;# Heat Exchanger System Boundary Regulation, AIChE Journal, 2019, 65(8): e16623
  25. Yan-Yan Zhang; Cheng, R; Ni, D; Tian, M; Lu, JW; Zhao, Y*;# Thermal conductivity characterization of ultra-thin silicon film using the ultra-fast transient hot strip method, Chinese Physics B, 2019, 28(7): 078105
  26. Gang Xiao; Zheng, G; Ni, D; Li, Q; Qiu, M; Ni, M*;# Thermodynamic assessment of solar photon-enhanced thermionic conversion, Applied Energy, 2018, 223: 134-145
  27. Mingjiang Ni; Yang, T; Xiao, G*; Ni, D; Zhou, X; Liu, H; Sultan, U; Chen, J; Luo, Z; Cen, K;# Thermodynamic analysis of a gas turbine cycle combined with fuel reforming for solar thermal power generation, Energy, 2017, 137: 20-30
  28. Wu, Zhe; Aguirre, A; Tran, A; Durand, H; Ni, D; Christofides, PD*;# Model Predictive Control of a Steam Methane Reforming Reactor Described by a Computational Fluid Dynamics Model, Industrial & Engineering Chemistry Research, 2017, 56(20):6002-6011
  29. Gang, Xiao; Yang, T; Liu, H; Ni, D; Ferrari, ML; Li, M; Luo, Z; Cen, K; Ni, M*;# Recuperators for micro gas turbines: A review, Applied Energy, 2017, 197: 83-99
  30. Gang, Xiao; Yang, T; Ni, D*; Cen, K; Ni, M;# A model-based approach for optical performance assessment and optimization of a solar dish, Renewable Energy, 2017, 100: 103-113
  31. Kwon, Joseph Sang-Il; Nayhouse, M; Orkoulas, G; Ni, D*; Christofides, PD*;# A method for handling batch-to-batch parametric drift using moving horizon estimation: Application to run-to-run MPC of batch crystallization, Chemical Engineering Science, 2015, 127:210-219
  32. Crose, Marquis; Kwon, JS; Nayhouse, M; Ni, D; Christofides, PD*;# Multiscale modeling and operation of PECVD of thin film solar cells, Chemical Engineering Science, 2015, 136:50-61
  33. Kwon, Joseph Sang-Il; Nayhouse, M; Orkoulas, G; Ni, D*; Christofides, PD*;# Run-to-run-based model predictive control of protein crystal shape in batch crystallization, Industrial & Engineering Chemistry Research, 2015, 54(16):4293-4302
  34. Ni, Dong; Christofides, PD*;# Multivariable predictive control of thin film deposition using a stochastic PDE model, Industrial & Engineering Chemistry Research, 2005, 44(8):2416-2427
  35. Ni, Dong; Christofides, PD*;# Dynamics and control of thin film surface microstructure in a complex deposition process, Chemical Engineering Science, 2005, 60(6):1603-1617
  36. Ni, Dong; Lou, YM; Christofides, PD*; Sha, L; Lao, S; Chang, JP;# Real-time carbon content control for PECVD ZrO2 thin-film growth, IEEE Transactions on Semiconductor Manufacturing, 2004, 17(2):221-230

顶会

人工智能顶会

  1. Yuan, Hangjie; Zhang, S; Wang, X; Wei, Y; Feng, T; Pan, Y; Zhang, Y; Liu, Z ; Albanie, S; Ni,D*;# InstructVideo: Instructing Video Diffusion Models with Human Feedback, The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2024
  2. Liu, Lingfeng; Ni, D*;# LUM-ViT: Learnable Under-sampling Mask Vision Transformer for Bandwidth Limited Optical Signal Acquisition, International Conference on Learning Representations (ICLR), 2024
  3. Yuan, Hangjie; Zhang, S; Wang, X; Albanie, S; Pan, Y; Feng, T; Jiang, J; Ni, D*; Zhang, Y; Zhao, D;# RLIPv2: Fast Scaling of Relational Language-Image Pre-training, Proceedings of the IEEE International Conference on Computer Vision (ICCV), 2023
  4. Yuan, Hangjie; Jiang, J; Albanie, S; Feng, T; Huang, Z; Tang, M; Ni, D*;# RLIP: Relational Language-Image Pre-training for Human-Object Interaction Detection, Advances in Neural Information Processing Systems (NeurIPS 2023), 2022 (Spotlight Paper)
  5. Yuan, Hangjie; Ni, D*;# Detecting Human-Object Interactions with Object-Guided Cross-Modal Calibrated Semantics, Proceedings of the AAAI Conference on Artificial Intelligence, 2022, 36(3), 3206-3214
  6. Yuan, Hangjie; Ni, D*;# Spatio-Temporal Dynamic Inference Network for Group Activity Recognition, Proceedings of the IEEE International Conference on Computer Vision (ICCV), 2021, 7476-7485
  7. Yuan, Hangjie; Ni, D*;# Learning Visual Context for Group Activity Recognition, Proceedings of the AAAI Conference on Artificial Intelligence, 2021, 35(4), 3261-3269

光热发电顶会

  1. Wu, Sipei; Ni, D*;# Real-time Heliostat Field Aiming Strategy Generation for Varying Cloud Shadowing using Deep Learning, AIP Conference Proceedings 2303 (SolarPACES 2021), 2022, United States
  2. Zeng, Zhichen; Ni, D*;# Harvesting Optimal Operation Strategies from Historical Data for Solar Thermal Power Plants using Reinforcement Learning, Proceedings of the 26th SolarPACES International Conference (SolarPACES 2020), Online, United States
  3. Zhu, Ruidi; Ni, D*; Yang, T; Yang, J; Chen, J; Xiao, G;# Post-Installation Heliostat Field Aiming Strategy Optimization Based on Heliostat Flux Distribution Measurements, Proceedings of the 25th SolarPACES International Conference (SolarPACES 2019), Daegu, South Korea

专利

发明专利：

  1. 一种碟式镜面三维结构实时监控的方法，ZL 2018 1 1115228.X，倪东、易振彧，2018
  2. 基于光谱成像的等离子体组分空间分布实时测量方法及其装置，ZL 2018 1 0858346.3，倪东、朱锋、任佳阳，2018
  3. 基于毫米波雷达的跟随搬运车及其控制方法，ZL 2018 1 0982 102.6，倪东、朱锋，2018
  4. 一种基于半监督学习的晶圆图批量分析方法，ZL 2018 1 0792 257.3，倪东、孔煜婷，2018
  5. 一种超大规模晶圆缺陷数据的特征提取方法，ZL 2020 1 0955 780.0，倪东、王皓玥，2020
  6. 一种基于多旋翼无人机的塔式光热电站镜场巡检方法及装置，ZL 2022 1 0003 230.8，倪东、沈唯鑫，2023

软件著作权：

  1. 工业解析与控制有限元软件【简称：IACFEM】，2018SR1036294，刘力铨、倪东，2018
  2. 高温热化学储热系统辅助设计软件，2019SR1383228，郝秋霞、倪东，2019
  3. 超大规模晶圆缺陷数据快速分析软件，2020SR1647845，王皓玥、倪东，2020
  4. 基于实时光线追踪的聚光镜场仿真平台，2023SR0473533，倪东、苏裕宁，2023

荣誉

  • 2019 – 孔煜婷，IEEE SMILE 2019会议Excellent Student Paper Award
  • 2018 – 倪东，入选浙江省湖州市“南太湖精英计划”（创业长期）
  • 2014 – 倪东，入选浙江省“千人计划”（创新长期）
  • 2014 – 倪东，入选浙江大学首批“百人计划”
  • 2013 – 倪东，入选中组部“千人计划”（青年项目）
  • 2010 – 倪东，Intel China Award
  • 2004 – 倪东，美国自动控制委员会（AACC）年度最佳论文奖（O. Hugo Schuck Best Paper Award）