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ORCIDYang Ni
This is just a disambiguation page, and is not intended to be the bibliography of an actual person. Any publication listed on this page has not been assigned to an actual author yet. If you know the true author of one of the publications listed below, you are welcome to contact us.
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2020 – today
- 2024
[j17]Yang Ni
, Danny Abraham, Mariam Issa, Alejandro Hernández-Cano, Mahdi Imani, Pietro Mercati, Mohsen Imani:
Dynamic MAC Protocol for Wireless Spectrum Sharing via Hyperdimensional Self-Learning. IEEE Access 12: 138519-138534 (2024)- [j16]Haiya Qian, Keyu Li, Qingshan Xu, Shuntao Qi, Yang Ni, Feng Li:
Topology Optimization of Large-Scale Offshore Wind Power Collection System Based on Graph Genetic DMST. IEEE Access 12: 149988-149998 (2024) - [j15]Prathyush Poduval, Yang Ni, Zhuowen Zou, Kai Ni, Mohsen Imani:
NetHD: Neurally Inspired Integration of Communication and Learning in Hyperspace. Adv. Intell. Syst. 6(7) (2024) - [j14]Alejandro Hernández-Cano, Yang Ni, Zhuowen Zou, Ali Zakeri, Mohsen Imani:
Hyperdimensional computing with holographic and adaptive encoder. Frontiers Artif. Intell. 7 (2024) - [j13]Yang Ni, Yingguang Li, Changqing Liu, Yan Jin:
A New Fourier Q Operator Network Based Reinforcement Learning Method for Continuous Action Space Decision-making in Manufacturing. Robotics Comput. Integr. Manuf. 86: 102641 (2024) - [c49]Hanning Chen, Yang Ni, Wenjun Huang, Mohsen Imani:
Scalable and Interpretable Brain-Inspired Hyper-Dimensional Computing Intelligence with Hardware-Software Co-Design. CICC 2024: 1-8 - [c48]Chengfu Sun, Yang Ni, Rui Du:
Fault diagnosis of chemical process based on CNN-BiGRU. CVDL 2024: 67:1-67:6 - [c47]Hanning Chen, Ali Zakeri, Yang Ni, Fei Wen, Behnam Khaleghi, Hugo Latapie, Mohsen Imani:
High-Performance Reconfigurable Accelerator for Knowledge Graph Reasoning. FCCM 2024: 219 - [c46]Yang Ni, William Youngwoo Chung, Samuel Cho, Zhuowen Zou, Mohsen Imani:
Efficient Exploration in Edge-Friendly Hyperdimensional Reinforcement Learning. ACM Great Lakes Symposium on VLSI 2024: 111-118 - [c45]Hyukjun Kwon, Kangwon Kim, Junyoung Lee, Hyunsei Lee, Jiseung Kim, Jinhyung Kim, Taehyung Kim, Yongnyeon Kim, Yang Ni, Mohsen Imani, Ilhong Suh, Yeseong Kim:
Brain-Inspired Hyperdimensional Computing in the Wild: Lightweight Symbolic Learning for Sensorimotor Controls of Wheeled Robots. ICRA 2024: 5176-5182 - [i11]Wenjun Huang, Arghavan Rezvani, Hanning Chen, Yang Ni, Sanggeon Yun, Sungheon Jeong, Mohsen Imani:
A Plug-in Tiny AI Module for Intelligent and Selective Sensor Data Transmission. CoRR abs/2402.02043 (2024) - [i10]Yang Ni, Zhuowen Zou, Wenjun Huang, Hanning Chen, William Youngwoo Chung, Samuel Cho, Ranganath Krishnan, Pietro Mercati, Mohsen Imani:
HEAL: Brain-inspired Hyperdimensional Efficient Active Learning. CoRR abs/2402.11223 (2024) - [i9]Hanning Chen, Yang Ni, Ali Zakeri, Zhuowen Zou, Sanggeon Yun, Fei Wen, Behnam Khaleghi, Narayan Srinivasa, Hugo Latapie, Mohsen Imani:
HDReason: Algorithm-Hardware Codesign for Hyperdimensional Knowledge Graph Reasoning. CoRR abs/2403.05763 (2024) - [i8]Hanning Chen, Wenjun Huang, Yang Ni, Sanggeon Yun, Fei Wen, Hugo Latapie, Mohsen Imani:
TaskCLIP: Extend Large Vision-Language Model for Task Oriented Object Detection. CoRR abs/2403.08108 (2024) - [i7]Wenjun Huang, Hanning Chen, Yang Ni, Arghavan Rezvani, Sanggeon Yun, Sungheon Jeon, Eric Pedley, Mohsen Imani:
EcoSense: Energy-Efficient Intelligent Sensing for In-Shore Ship Detection through Edge-Cloud Collaboration. CoRR abs/2403.14027 (2024) - [i6]Wenjun Huang, Yang Ni, Arghavan Rezvani, Sungheon Jeong, Hanning Chen, Yezi Liu, Fei Wen, Mohsen Imani:
Recoverable Anonymization for Pose Estimation: A Privacy-Enhancing Approach. CoRR abs/2409.02715 (2024) - [i5]Hanning Chen, Yang Ni, Wenjun Huang, Yezi Liu, Sungheon Jeong, Fei Wen, Nathaniel Bastian, Hugo Latapie, Mohsen Imani:
VLTP: Vision-Language Guided Token Pruning for Task-Oriented Segmentation. CoRR abs/2409.08464 (2024) - 2023
- [j12]Junsouk Choi, Yang Ni:
Model-based Causal Discovery for Zero-Inflated Count Data. J. Mach. Learn. Res. 24: 200:1-200:32 (2023) - [j11]Shuoli Chen, Kejun He, Shiyuan He, Yang Ni, Raymond K. W. Wong:
Bayesian Nonlinear Tensor Regression with Functional Fused Elastic Net Prior. Technometrics 65(4): 524-536 (2023) - [c44]Yang Ni, Danny Abraham, Mariam Issa, Yeseong Kim, Pietro Mercati, Mohsen Imani:
Efficient Off-Policy Reinforcement Learning via Brain-Inspired Computing. ACM Great Lakes Symposium on VLSI 2023: 449-453 - [c43]Yang Ni, Hanning Chen, Prathyush Poduval, Zhuowen Zou, Pietro Mercati, Mohsen Imani:
Brain-Inspired Trustworthy Hyperdimensional Computing with Efficient Uncertainty Quantification. ICCAD 2023: 1-9 - [c42]Yang Ni, Yeseong Kim, Tajana Rosing, Mohsen Imani:
Algorithm-Hardware Co-Design for Efficient Brain-Inspired Hyperdimensional Learning on Edge (Extended Abstract). IJCAI 2023: 6474-6479 - [c41]Saptarshi Roy, Raymond K. W. Wong, Yang Ni:
Directed Cyclic Graph for Causal Discovery from Multivariate Functional Data. NeurIPS 2023 - 2022
- [j10]Yang Ni, Yingguang Li, Changqing Liu, Xu Liu:
A mechanism informed neural network for predicting machining deformation of annular parts. Adv. Eng. Informatics 53: 101661 (2022) - [j9]Yang Ni, Francesco C. Stingo, Veerabhadran Baladandayuthapani:
Bayesian Covariate-Dependent Gaussian Graphical Models with Varying Structure. J. Mach. Learn. Res. 23: 242:1-242:29 (2022) - [j8]Zeya Wang, Yang Ni, Baoyu Jing, Deqing Wang, Hao Zhang, Eric P. Xing:
DNB: A Joint Learning Framework for Deep Bayesian Nonparametric Clustering. IEEE Trans. Neural Networks Learn. Syst. 33(12): 7610-7620 (2022) - [c40]Prathyush Poduval, Yang Ni, Yeseong Kim, Kai Ni, Raghavan Kumar, Rosario Cammarota, Mohsen Imani:
Adaptive neural recovery for highly robust brain-like representation. DAC 2022: 367-372 - [c39]Yang Ni, Mariam Issa, Danny Abraham, Mahdi Imani, Xunzhao Yin, Mohsen Imani:
HDPG: hyperdimensional policy-based reinforcement learning for continuous control. DAC 2022: 1141-1146 - [c38]Yang Ni, Yeseong Kim, Tajana Rosing, Mohsen Imani:
Algorithm-Hardware Co-Design for Efficient Brain-Inspired Hyperdimensional Learning on Edge. DATE 2022: 292-297 - [c37]Yang Ni, Yeseong Kim, Tajana Rosing, Mohsen Imani:
Online Performance and Power Prediction for Edge TPU via Comprehensive Characterization. DATE 2022: 612-615 - [c36]Sina Shahhosseini, Yang Ni, Emad Kasaeyan Naeini, Mohsen Imani, Amir M. Rahmani, Nikil D. Dutt:
Flexible and Personalized Learning for Wearable Health Applications using HyperDimensional Computing. ACM Great Lakes Symposium on VLSI 2022: 357-360 - [c35]Yang Ni, Nicholas A. Lesica, Fan-Gang Zeng, Mohsen Imani:
Neurally-Inspired Hyperdimensional Classification for Efficient and Robust Biosignal Processing. ICCAD 2022: 34:1-34:9 - [c34]Hanning Chen, Mariam Issa, Yang Ni, Mohsen Imani:
DARL: Distributed Reconfigurable Accelerator for Hyperdimensional Reinforcement Learning. ICCAD 2022: 84:1-84:9 - [c33]Mariam Issa, Sina Shahhosseini, Yang Ni, Tianyi Hu, Danny Abraham, Amir M. Rahmani, Nikil D. Dutt, Mohsen Imani:
Hyperdimensional Hybrid Learning on End-Edge-Cloud Networks. ICCD 2022: 652-655 - [c32]Yang Ni:
Bivariate Causal Discovery for Categorical Data via Classification with Optimal Label Permutation. NeurIPS 2022 - [c31]Yang Ni, Bani K. Mallick:
Ordinal causal discovery. UAI 2022: 1530-1540 - [c30]Fangting Zhou, Kejun He, Yang Ni:
Causal discovery with heterogeneous observational data. UAI 2022: 2383-2393 - [i4]Yang Ni, Danny Abraham, Mariam Issa, Yeseong Kim, Pietro Mercati, Mohsen Imani:
QHD: A brain-inspired hyperdimensional reinforcement learning algorithm. CoRR abs/2205.06978 (2022) - [i3]Sina Shahhosseini, Yang Ni, Hamidreza Alikhani, Emad Kasaeyan Naeini, Mohsen Imani, Nikil D. Dutt, Amir M. Rahmani:
Efficient Personalized Learning for Wearable Health Applications using HyperDimensional Computing. CoRR abs/2208.01095 (2022) - [i2]Yang Ni:
Bivariate Causal Discovery for Categorical Data via Classification with Optimal Label Permutation. CoRR abs/2209.08579 (2022) - 2021
- [c29]Haibo Lu, Yang Ni:
Numerical Investigation on the Influence of Tail Structure upon the Projectile. AIAM (ACM) 2021: 1739-1741 - 2020
- [c28]Yang Ni, David Jones, Zeya Wang:
Consensus Variational and Monte Carlo Algorithms for Bayesian Nonparametric Clustering. IEEE BigData 2020: 204-209 - [c27]Zeya Wang, Baoyu Jing, Yang Ni, Nanqing Dong, Pengtao Xie, Eric P. Xing:
Adversarial Domain Adaptation Being Aware of Class Relationships. ECAI 2020: 1579-1586 - [c26]Erlin Luo, Zhenhua Li, Zuchao Song, Yang Ni, Jian Wang:
Design of Vibration Orientation Device for Thick Shell Mussel. ICITEE 2020: 629-634 - [c25]Junsouk Choi, Robert S. Chapkin, Yang Ni:
Bayesian Causal Structural Learning with Zero-Inflated Poisson Bayesian Networks. NeurIPS 2020
2010 – 2019
- 2019
- [i1]Zeya Wang, Baoyu Jing, Yang Ni, Nanqing Dong, Pengtao Xie, Eric P. Xing:
Adversarial Domain Adaptation Being Aware of Class Relationships. CoRR abs/1905.11931 (2019) - 2018
- [j7]Yang Ni, Peter Müller, Lin Wei, Yuan Ji:
Bayesian graphical models for computational network biology. BMC Bioinform. 19-S(3): 59-69 (2018) - [j6]Yang Ni:
QLog Solar-Cell Mode Photodiode Logarithmic CMOS Pixel Using Charge Compression and Readout. Sensors 18(2): 584 (2018) - 2017
- [c24]Yang Ni, Peter Müller, Lin Wei, Yuan Ji:
Bayesian Graphical Models for Computational Network Biology. BCB 2017: 751 - 2014
- [c23]Rajkishore Barik, Rashid Kaleem, Deepak Majeti, Brian T. Lewis, Tatiana Shpeisman, Chunling Hu, Yang Ni, Ali-Reza Adl-Tabatabai:
Efficient Mapping of Irregular C++ Applications to Integrated GPUs. CGO 2014: 33 - [c22]Christian Bouvier, Yang Ni:
Logarithmic Image Sensor for Wide Dynamic Range Stereo Vision System. IHCI 2014: 146-149 - 2012
- [c21]Xing Zhou, Jean Pierre Giacalone, María Jesús Garzarán, Robert H. Kuhn, Yang Ni, David A. Padua:
Hierarchical overlapped tiling. CGO 2012: 207-218
2000 – 2009
- 2009
- [c20]Tatiana Shpeisman, Ali-Reza Adl-Tabatabai, Robert Geva, Yang Ni, Adam Welc:
Towards transactional memory semantics for C++. SPAA 2009: 49-58 - [c19]Aleksandar Dragojevic, Yang Ni, Ali-Reza Adl-Tabatabai:
Optimizing transactions for captured memory. SPAA 2009: 214-222 - 2008
- [j5]Walid Hizem, Yang Ni, Bernadette Dorizzi:
Near infrared sensing and associated landmark detection for face recognition. J. Electronic Imaging 17(1): 011005 (2008) - [c18]Francisco Hirata-Flores, Muriel Muller, Yang Ni, Claude Gimenes:
CMOS Implementation of a TR-UWB Receiver. EW 2008 - [c17]Yang Ni, Adam Welc, Ali-Reza Adl-Tabatabai, Moshe Bach, Sion Berkowits, James Cownie, Robert Geva, Sergey Kozhukow, Ravi Narayanaswamy, Jeffrey Olivier, Serguei Preis, Bratin Saha, Ady Tal, Xinmin Tian:
Design and implementation of transactional constructs for C/C++. OOPSLA 2008: 195-212 - [c16]Richard M. Yoo, Yang Ni, Adam Welc, Bratin Saha, Ali-Reza Adl-Tabatabai, Hsien-Hsin S. Lee:
Kicking the tires of software transactional memory: why the going gets tough. SPAA 2008: 265-274 - 2007
- [c15]Charbel Saber, Roger Lamberti, Muriel Muller, Yang Ni, Francisco Hirata-Flores:
Optimal correlator size for the TDSC-UWB detection method. Mobility Conference 2007: 98-103 - [c14]Yang Ni, Vijay Menon, Ali-Reza Adl-Tabatabai, Antony L. Hosking, Richard L. Hudson, J. Eliot B. Moss, Bratin Saha, Tatiana Shpeisman:
Open nesting in software transactional memory. PPoPP 2007: 68-78 - 2006
- [j4]Yang Ni, Emine Krichen, Walid Hizem, Sonia Garcia-Salicetti, Bernadette Dorizzi:
Active differential CMOS imaging device for human face recognition. IEEE Signal Process. Lett. 13(4): 220-223 (2006) - [c13]Walid Hizem, Emine Krichen, Yang Ni, Bernadette Dorizzi, Sonia Garcia-Salicetti:
Specific Sensors for Face Recognition. ICB 2006: 47-54 - [c12]Muriel Muller, Yang Ni, Roger Lamberti, Charbel Saber:
A New Signal Detection Method for TR-UWB: By Time Delayed Sampling and Correlation (TDSC). ICETE (Selected Papers) 2006: 301-311 - [c11]Muriel Muller, Yang Ni, Roger Lamberti, Charbel Saber:
A New Signal Detection Method for TR-UWB - By Time Delayed Sampling & Correlation (TDSC). WINSYS 2006: 19-25 - 2005
- [c10]Yang Ni, Ulrich Kremer, Adrian Stere, Liviu Iftode:
Programming ad-hoc networks of mobile and resource-constrained devices. PLDI 2005: 249-260 - 2004
- [j3]Yang Ni:
Electronic retina based vision systems an adequation algorithm-architecture application approach. Ann. des Télécommunications 59(3-4): 287-303 (2004) - [c9]Yang Ni, Ulrich Kremer, Liviu Iftode:
A programming language for ad-hoc networks of mobile devices. LCR 2004: 12:1-12:12 - 2003
- [c8]Sonia Garcia-Salicetti, Charles Beumier, Gérard Chollet, Bernadette Dorizzi, Jean Leroux les Jardins, Jan Lunter, Yang Ni, Dijana Petrovska-Delacrétaz:
BIOMET: A Multimodal Person Authentication Database Including Face, Voice, Fingerprint, Hand and Signature Modalities. AVBPA 2003: 845-853 - [c7]Yang Ni:
Electronic retina based vision system. ETFA (2) 2003: 490-497 - [c6]Alain Goyé, Eric Lecolinet, Shiuan-Sung Lin, Gérard Chollet, Catherine Pelachaud, Xiaoqing Ding, Yang Ni:
Multimodal user interfaces for a travel assistant. IHM 2003: 244-247 - [c5]Yang Ni, Ulrich Kremer, Liviu Iftode:
Spatial Views: Space-Aware Programming for Networks of Embedded Systems. LCPC 2003: 258-272 - 2000
- [j2]Yang Ni, Jianhong Guan:
A 256×256 pixel smart CMOS image sensor for line-based stereo vision applications. IEEE J. Solid State Circuits 35(7): 1055-1061 (2000)
1990 – 1999
- 1997
- [j1]Yang Ni, Francis Devos, Mohammed Boujrad, Jianhong Guan:
Histogram-equalization-based adaptive image sensor for real-time vision. IEEE J. Solid State Circuits 32(7): 1027-1036 (1997) - 1994
- [c4]F. Lavainne, Yang Ni, Francis Devos, P. de Came:
Adaptive Smart Imager for Pulse Structured Light Vision. ISCAS 1994: 41-44 - [c3]Ming Zhang, Francis Devos, Jean-François Pône, Yang Ni:
A Parallel Trimming Method of Offset Reduction for Comparators and Amplifiers. ISCAS 1994: 715-718 - 1993
- [c2]Yang Ni, Yi-min Zhu, Bogdan Arion, Francis Devos:
Yet another analog 2D Gaussian convolver. ISCAS 1993: 192-195 - [c1]Yang Ni, Francis Devos:
An Analog Smart Sensor for Active Obstacle Detection. ISCAS 1993: 1101-1103
Coauthor Index
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last updated on 2024-11-07 21:33 CET by the dblp team
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