Kai Ni
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
52
Venues
20
Active years
2003–2026
Best venue rank
A*
Where they publish
Papers
52 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ASPDAC | WARP: Workload-Aware Reference Prediction for Reliable Multi-Bit FeFET Readout under Charge-Trapping Degradation. | Dhruv Thapar, Ashish Reddy Bommana, Arjun Chaudhuri, Kai Ni, Krishnendu Chakrabarty |
| 2026 | VTS | Enhancing Robustness of Content-Addressable Memories for In-Memory Search. | Liu Liu, Tomas Sousa Pereira, Mohammad Mehdi Sharifi, Pengyu Ren, Bo Wen, Can Li, Kai Ni, Michael T. Niemier, X. Sharon Hu |
| 2025 | DAC | PUFiM: A Robust and Efficient FeFET-Based Security Solution Merging Physical Unclonable Function with Compute-in-Memory for Edge AI. | Taixin Li, Thomas Kmpfe, Jianfeng Wang, Kai Ni, Vijaykrishnan Narayanan, Huazhong Yang, Xueqing Li |
| 2025 | DAC | Towards Uncertainty-aware Robotic Perception via Mixed-signal BNN Engine Leveraging Probabilistic Quantum Tunneling. | Likai Pei, Yu Zhou, Xingtian Wang, Xueji Zhao, Wanxin Huang, Boyang Cheng, Halid Mulaosmanovic, Stefan Dnkel, Dominik Kleimaier, Sven Beyer, Kai Ni, Mengxue Hou, Michael T. Niemier, Ningyuan Cao |
| 2025 | DATE | NVCiM-PT: An NVCiM-Assisted Prompt Tuning Framework for Edge LLMs. | Ruiyang Qin, Pengyu Ren, Zheyu Yan, Liu Liu, Dancheng Liu, Amir Nassereldine, Jinjun Xiong, Kai Ni, X. Sharon Hu, Yiyu Shi |
| 2025 | ICCD | STAMP-2.5D: Structural and Thermal Aware Methodology for Placement in 2.5D Integration. | Varun Darshana Parekh, Zachary Wyatt Hazenstab, Srivatsa Rangachar Srinivasa, Krishnendu Chakrabarty, Kai Ni, Vijaykrishnan Narayanan |
| 2025 | ITC | FeTest: Defect Analysis and March Test Solution for FeFETs | Dhruv Thapar, Arjun Chaudhuri, Kai Ni, Krishnendu Chakrabarty |
| 2025 | VLSID | A Study on the Impact of Temperature-Dependent Ferroelectric Switching Behavior in 3D Memory Architecture. | Varun Darshana Parekh, Yi Xiao, Yixin Xu, Zijian Zhao, Zhouhang Jiang, Rudra Biswas, Sumitha George, Kai Ni, Vijaykrishnan Narayanan |
| 2024 | AAAI | Geometry-Guided Domain Generalization for Monocular 3D Object Detection. | Fan Yang, Hui Chen, Yuwei He, Sicheng Zhao, Chenghao Zhang, Kai Ni, Guiguang Ding |
| 2024 | DAC | FeBiM: Efficient and Compact Bayesian Inference Engine Empowered with Ferroelectric In-Memory Computing. | Chao Li, Zhicheng Xu, Bo Wen, Ruibin Mao, Can Li, Thomas Kmpfe, Kai Ni, Xunzhao Yin |
| 2024 | DAC | C-Nash: A Novel Ferroelectric Computing-in-Memory Architecture for Solving Mixed Strategy Nash Equilibrium. | Yu Qian, Kai Ni, Thomas Kmpfe, Cheng Zhuo, Xunzhao Yin |
| 2024 | DAC | HyCiM: A Hybrid Computing-in-Memory QUBO Solver for General Combinatorial Optimization Problems with Inequality Constraints. | Yu Qian, Zeyu Yang, Kai Ni, Alptekin Vardar, Thomas Kmpfe, Xunzhao Yin |
| 2024 | DAC | Energy Efficient Dual Designs of FeFET-Based Analog In-Memory Computing with Inherent Shift-Add Capability. | Zeyu Yang, Qingrong Huang, Yu Qian, Kai Ni, Thomas Kmpfe, Xunzhao Yin |
| 2024 | DATE | A FeFET-based Time-Domain Associative Memory for Multi-bit Similarity Computation. | Qingrong Huang, Hamza Errahmouni Barkam, Zeyu Yang, Jianyi Yang, Thomas Kmpfe, Kai Ni, Grace Li Zhang, Bing Li, Ulf Schlichtmann, Mohsen Imani, Cheng Zhuo, Xunzhao Yin |
| 2024 | DATE | CafeHD: A Charge-Domain FeFET-Based Compute-in-Memory Hyperdimensional Encoder with Hypervector Merging. | Taixin Li, Hongtao Zhong, Juejian Wu, Thomas Kmpfe, Kai Ni, Vijaykrishnan Narayanan, Huazhong Yang, Xueqing Li |
| 2024 | DATE | Reconfigurable Frequency Multipliers Based on Complementary Ferroelectric Transistors. | Haotian Xu, Jianyi Yang, Cheng Zhuo, Thomas Kmpfe, Kai Ni, Xunzhao Yin |
| 2024 | DATE | Low Power and Temperature- Resilient Compute-In-Memory Based on Subthreshold-FeFET. | Yifei Zhou, Xuchu Huang, Jianyi Yang, Kai Ni, Hussam Amrouch, Cheng Zhuo, Xunzhao Yin |
| 2024 | ICCAD | REMNA: Variation-Resilient and Energy-Efficient MLC FeFET Computing-in-Memory Using NAND Flash-Like Read and Adaptive Control. | Taixin Li, Hongtao Zhong, Yixin Xu, Vijaykrishnan Narayanan, Kai Ni, Huazhong Yang, Thomas Kmpfe, Xueqing Li |
| 2024 | ICCAD | TAP-CAM: A Tunable Approximate Matching Engine based on Ferroelectric Content Addressable Memory. | Chenyu Ni, Sijie Chen, Che-Kai Liu, Liu Liu, Mohsen Imani, Thomas Kmpfe, Kai Ni, Michael T. Niemier, Xiaobo Sharon Hu, Cheng Zhuo, Xunzhao Yin |
| 2024 | ICCAD | Robust Implementation of Retrieval-Augmented Generation on Edge-based Computing-in-Memory Architectures. | Ruiyang Qin, Zheyu Yan, Dewen Zeng, Zhenge Jia, Dancheng Liu, Jianbo Liu, Ahmed Abbasi, Zhi Zheng, Ningyuan Cao, Kai Ni, Jinjun Xiong, Yiyu Shi |
| 2024 | ICCAD | TReCiM: Lower Power and Temperature-Resilient Multibit 2FeFET-1T Compute-in-Memory Design. | Yifei Zhou, Thomas Kmpfe, Kai Ni, Hussam Amrouch, Cheng Zhuo, Xunzhao Yin |
| 2024 | ITC | Defect Analysis for FeFETs using a Compact Model. | Dhruv Thapar, Arjun Chaudhuri, Kai Ni, Krishnendu Chakrabarty |
| 2023 | DAC | Cryogenic In-Memory Matrix-Vector Multiplication using Ferroelectric Superconducting Quantum Interference Device (FE-SQUID). | Shamiul Alam, Jack Hutchins, Md. Shafayat Hossain, Kai Ni, Vijaykrishnan Narayanan, Ahmedullah Aziz |
| 2023 | ICCAD | SEE-MCAM: Scalable Multi-Bit FeFET Content Addressable Memories for Energy Efficient Associative Search. | Shengxi Shou, Che-Kai Liu, Sanggeon Yun, Zishen Wan, Kai Ni, Mohsen Imani, X. Sharon Hu, Jianyi Yang, Cheng Zhuo, Xunzhao Yin |
| 2023 | ICML | Boosting Graph Contrastive Learning via Graph Contrastive Saliency. | Chunyu Wei, Yu Wang, Bing Bai, Kai Ni, David Brady, Lu Fang |
| 2022 | CVPR | INS-Conv: Incremental Sparse Convolution for Online 3D Segmentation. | Leyao Liu, Tian Zheng, Yun-Jou Lin, Kai Ni, Lu Fang |
| 2022 | DAC | Energy efficient data search design and optimization based on a compact ferroelectric FET content addressable memory. | Jiahao Cai, Mohsen Imani, Kai Ni, Grace Li Zhang, Bing Li, Ulf Schlichtmann, Cheng Zhuo, Xunzhao Yin |
| 2022 | DAC | Adaptive neural recovery for highly robust brain-like representation. | Prathyush Poduval, Yang Ni, Yeseong Kim, Kai Ni, Raghavan Kumar, Rosario Cammarota, Mohsen Imani |
| 2022 | DATE | Eva-CAM: A Circuit/Architecture-Level Evaluation Tool for General Content Addressable Memories. | Liu Liu, Mohammad Mehdi Sharifi, Ramin Rajaei, Arman Kazemi, Kai Ni, Xunzhao Yin, Michael T. Niemier, Xiaobo Sharon Hu |
| 2022 | ICCAD | COSIME: FeFET Based Associative Memory for In-Memory Cosine Similarity Search. | Che-Kai Liu, Haobang Chen, Mohsen Imani, Kai Ni, Arman Kazemi, Ann Franchesca Laguna, Michael T. Niemier, Xiaobo Sharon Hu, Liang Zhao, Cheng Zhuo, Xunzhao Yin |
| 2021 | DATE | Energy-Aware Designs of Ferroelectric Ternary Content Addressable Memory. | Yu Qian, Zhenhao Fan, Haoran Wang, Chao Li, Mohsen Imani, Kai Ni, Grace Li Zhang, Bing Li, Ulf Schlichtmann, Cheng Zhuo, Xunzhao Yin |
| 2021 | ICCAD | ICCAD Tutorial Session Paper Ferroelectric FET Technology and Applications: From Devices to Systems. | Hussam Amrouch, Di Gao, Xiaobo Sharon Hu, Arman Kazemi, Ann Franchesca Laguna, Kai Ni, Michael T. Niemier, Mohammad Mehdi Sharifi, Simon Thomann, Xunzhao Yin, Cheng Zhuo |
| 2021 | ISLPED | Application-driven Design Exploration for Dense Ferroelectric Embedded Non-volatile Memories. | Mohammad Mehdi Sharifi, Lillian Pentecost, Ramin Rajaei, Arman Kazemi, Qiuwen Lou, Gu-Yeon Wei, David M. Brooks, Kai Ni, X. Sharon Hu, Michael T. Niemier, Marco Donato |
| 2020 | ASPDAC | Ferroelectrics: From Memory to Computing. | Kai Ni, Sourav Dutta, Suman Datta |
| 2020 | ISCAS | A Hybrid FeMFET-CMOS Analog Synapse Circuit for Neural Network Training and Inference. | Arman Kazemi, Ramin Rajaei, Kai Ni, Suman Datta, Michael T. Niemier, Xiaobo Sharon Hu |
| 2019 | DAC | A 3T/Cell Practical Embedded Nonvolatile Memory Supporting Symmetric Read and Write Access Based on Ferroelectric FETs. | Juejian Wu, Hongtao Zhong, Kai Ni, Yongpan Liu, Huazhong Yang, Xueqing Li |
| 2019 | IECON | Simulation Study of the Effects of Synchronous Generator Parameter Deviations on the Performance of a DFIM-SPS. | Kai Ni, Wei Li, Yihua Hu, Mohammed Alkahtani |
| 2019 | IECON | Control of Doubly-Fed Induction Motor Based Shipboard Propulsion System for More-Electric Ships. | Kai Ni, Wei Li, Lujia Xie, Dimitris T. Lagos, Mohammed Alkahtani, Yihua Hu |
| 2018 | DATE | Computing with ferroelectric FETs: Devices, models, systems, and applications. | Ahmedullah Aziz, Evelyn T. Breyer, An Chen, Xiaoming Chen, Suman Datta, Sumeet Kumar Gupta, Michael Hoffmann, Xiaobo Sharon Hu, Adrian M. Ionescu, Matthew Jerry, Thomas Mikolajick, Halid Mulaosmanovic, Kai Ni, Michael T. Niemier, Ian O'Connor, Atanu Saha, Stefan Slesazeck, Sandeep Krishna Thirumala, Xunzhao Yin |
| 2012 | IROS | Robust optimization of factor graphs by using condensed measurements. | Giorgio Grisetti, Rainer Kmmerle, Kai Ni |
| 2011 | ICRA | Visibility learning in large-scale urban environment. | Pablo Fernndez Alcantarilla, Kai Ni, Luis Miguel Bergasa, Frank Dellaert |
| 2010 | IROS | Subgraph-preconditioned conjugate gradients for large scale SLAM. | Frank Dellaert, Justin Carlson, Viorela Ila, Kai Ni, Charles E. Thorpe |
| 2010 | IROS | Multi-level submap based SLAM using nested dissection. | Kai Ni, Frank Dellaert |
| 2009 | ICCV | GroupSAC: Efficient consensus in the presence of groupings. | Kai Ni, Hailin Jin, Frank Dellaert |
| 2009 | ICRA | Flow separation for fast and robust stereo odometry. | Michael Kaess, Kai Ni, Frank Dellaert |
| 2008 | CVPR | Epitomic location recognition. | Kai Ni, Anitha Kannan, Antonio Criminisi, John M. Winn |
| 2007 | ICASSP | Multi-Aspect Target Classification and Detection via the Infinite Hidden Markov Model. | Kai Ni, Yuting Qi, Lawrence Carin |
| 2007 | ICCV | Out-of-Core Bundle Adjustment for Large-Scale 3D Reconstruction. | Kai Ni, Drew Steedly, Frank Dellaert |
| 2007 | ICML | Multi-task learning for sequential data via iHMMs and the nested Dirichlet process. | Kai Ni, Lawrence Carin, David B. Dunson |
| 2007 | ICRA | Tectonic SAM: Exact, Out-of-Core, Submap-Based SLAM. | Kai Ni, Drew Steedly, Frank Dellaert |
| 2006 | ICIP | Stereo Tracking and Three-Point/One-Point Algorithms - A Robust Approach in Visual Odometry. | Kai Ni, Frank Dellaert |
| 2003 | SMC | THMR-V: an effective and robust high-speed system in structured road. | Kai Ni, Kezhong He |