Yurun Song, Junchen Zhao, Spencer Koehler, Amir Abdullah, Ian G. Harris: PCMID: Multi-Intent Detection through Supervised Prototypical Contrastive Learning. EMNLP (Findings) 2023: 9481-9495, December 6-10, 2023, Singapore, Singapore
Weixiao Zhou, Gengyao Li, Xianfu Cheng, Xinnian Liang, Junnan Zhu, Feifei Zhai, Zhoujun Li: Multi-Stage Pre-training Enhanced by ChatGPT for Multi-Scenario Multi-Domain Dialogue Summarization. EMNLP (Findings) 2023: 6893-6908, December 6-10, 2023, Singapore, Singapore
Junyao Wang, Luke Chen, Mohammad Abdullah Al Faruque: DOMINO: Domain-Invariant Hyperdimensional Classification for Multi-Sensor Time Series Data. ICCAD 2023: 1-9, October 28 – November 2, 2023, San Francisco, CA, USA
Hamza Errahmouni Barkam, Sanggeon Yun, Hanning Chen, Paul Gensler, Albi Mema, Andrew Ding, George Michelogiannakis, Hussam Amrouch, Mohsen Imani: Reliable Hyperdimensional Reasoning on Unreliable Emerging Technologies. ICCAD 2023: 1-9, October 28 – November 2, 2023, San Francisco, CA, USA
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, October 28 – November 2, 2023, San Francisco, CA, USA
Shengxi Shou, Che-Kai Liu, Sanggeon Yun, Zishen Wan, Kai Ni, Mohsen Imani, X. Sharon Hu, Jianyi Yang, Cheng Zhuo, Xunzhao Yin: SEE-MCAM: Scalable Multi-Bit FeFET Content Addressable Memories for Energy Efficient Associative Search. ICCAD 2023: 1-9, October 28 – November 2, 2023, San Francisco, CA, USA
Hamza Errahmouni Barkam, SungHeon Eavn Jeon, Sanggeon Yun, Calvin Yeung, Zhuowen Zou, Xun Jiao, Narayan Srinivasa, Mohsen Imani: Invited Paper: Hyperdimensional Computing for Resilient Edge Learning. ICCAD 2023: 1-8, October 28 – November 2, 2023, San Francisco, CA, USA
Jiyoung An, Esmerald Aliaj, Sang-Woo Jun: Barad-dur: Near-Storage Accelerator for Training Large Graph Neural Networks. PACT 2023: 225-237, October 21-25, 2023, Vienna, Austria
Jiaqi Bai, Hongcheng Guo, Jiaheng Liu, Jian Yang, Xinnian Liang, Zhao Yan, Zhoujun Li: GripRank: Bridging the Gap between Retrieval and Generation via the Generative Knowledge Improved Passage Ranking. CIKM 2023: 36-46, October 21-25, 2023, Birmingham, United Kingdom
Hanning Chen, Yeseong Kim, Elaheh Sadredini, Saransh Gupta, Hugo Latapie, Mohsen Imani: Sparsity Controllable Hyperdimensional Computing for Genome Sequence Matching Acceleration. VLSI-SoC 2023: 1-6, October 16-18, 2023, Dubai, United Arab Emirates
Walaa Amer, Mariam Rakka, Rachid Karami, Minjun Seo, Mazen A. R. Saghir, Rouwaida Kanj, Fadi J. Kurdahi: Hardware Implementation and Evaluation of an Information Processing Factory. VLSI-SoC 2023: 1-6, October 16-18, 2023, Dubai, United Arab Emirates
Foroozan Karimzadeh, Mohsen Imani, Bahar Asgari, Ningyuan Cao, Yingyan Lin, Yan Fang: Memory-Based Computing for Energy-Efficient AI: Grand Challenges. VLSI-SoC 2023: 1-8, October 16-18, 2023, Dubai, United Arab Emirates
Elahe Khatibi, Mahyar Abbasian, Iman Azimi, Sina Labbaf, Mohammad Feli, Jessica L. Borelli, Nikil D. Dutt, Amir M. Rahmani: Impact of COVID-19 Pandemic on Sleep Including HRV and Physical Activity as Mediators: A Causal ML Approach. BSN 2023: 1-4, October 9-11, 2023, Boston, MA, USA
Zhongqi Yang, Iman Azimi, Salar Jafarlou, Sina Labbaf, Jessica L. Borelli, Nikil D. Dutt, Amir M. Rahmani: Loneliness Forecasting Using Multi-modal Wearable and Mobile Sensing in Everyday Settings. BSN 2023: 1-4, October 9-11, 2023, Boston, MA, USA
Ruochen Jiao, Juyang Bai, Xiangguo Liu, Takami Sato, Xiaowei Yuan, Qi Alfred Chen, Qi Zhu: Learning Representation for Anomaly Detection of Vehicle Trajectories. IROS 2023: 9699-9706, October 1-5, 2023, Detroit, MI, USA
Junjie Shen, Yunpeng Luo, Ziwen Wan, Qi Alfred Chen: Lateral-Direction Localization Attack in High-Level Autonomous Driving: Domain-Specific Defense Opportunity via Lane Detection. IROS 2023: 9707-9713, October 1-5, 2023, Detroit, MI, USA
Tobias Fleck, Svetlana Pavlitska, Sven Nitzsche, Brian Pachideh, Federico Nicolás Peccia, Soikat Hasan Ahmed, Svea Marie Meyer, Mathis Richter, Kevin Broertjes, Emre Neftci, Jürgen Becker, Oliver Bringmann, J. Marius Zöllner: Low-Power Traffic Surveillance using Multiple RGB and Event Cameras: A Survey. ISC2 2023: 1-7, September 24-27, 2023, Bucharest, Romania
Davy P. Y. Wong, Pai H. Chou: TongueMendous: IR-Based Tongue-Gesture Interface with Tiny Machine Learning. iWOAR 2023: 4:1-4:8, September 21-22, 2023, Lübeck, Germany
Jiaqi Bai, Zhao Yan, Ze Yang, Jian Yang, Xinnian Liang, Hongcheng Guo, Zhoujun Li: KnowPrefix-Tuning: A Two-Stage Prefix-Tuning Framework for Knowledge-Grounded Dialogue Generation. ECML/PKDD (2) 2023: 525-542, September 18-22, 2023, Turin, Italy
Mohammad Abdullah Al Faruque, Muhammad Shafique: Message from the Program Chair. CODES+ISSS 2023: viii, September 17-22, 2023, Hamburg, Germany
Bryan Donyanavard, Nikil D. Dutt, Biswadip Maity, Parth Malani, Tiago Mück: Tutorial: MARS: A Framework for Runtime Monitoring, Modeling, and Management of Realtime Systems. CODES+ISSS 2023: 3-4, September 17-22, 2023, Hamburg, Germany
Vivek Govindasamy, Rainer Dömer: Instruction-Level Modeling and Evaluation of a Cache-Less Grid of Processing Cells. FDL 2023: 1-8, September 13-15, 2023, Turin, Italy
Liran Wang, Xunzhu Tang, Yichen He, Changyu Ren, Shuhua Shi, Chaoran Yan, Zhoujun Li: Delving into Commit-Issue Correlation to Enhance Commit Message Generation Models. ASE 2023: 710-722, September 11-15, 2023, Luxembourg, Luxembourg
Hanning Chen, Ali Zakeri, Fei Wen, Hamza Errahmouni Barkam, Mohsen Imani: HyperGRAF: Hyperdimensional Graph-Based Reasoning Acceleration on FPGA. FPL 2023: 34-41, September 4-8, 2023, Gothenburg, Sweden
Pere Vergés, Igor Nunes, Mike Heddes, Tony Givargis, Alexandru Nicolau: Accelerating Permute and N-Gram Operations for Hyperdimensional Learning in Embedded Systems. RTCSA 2023: 253-260, August 30 – September 1, 2023, Niigata, Japan
Yiyang Du, Shi-Wei Zhang, Xianjie Wu, Zhao Yan, Yunbo Cao, Zhoujun Li: Read Then Respond: Multi-granularity Grounding Prediction for Knowledge-Grounded Dialogue Generation. ADMA (2) 2023: 291-306, August 21-23, 2023, Shenyang, China
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, August 19-25, 2023, Macao, SAR, China
Hui Peng, Zhihao Yao, Ardalan Amiri Sani, Dave Tian, Mathias Payer: GLeeFuzz: Fuzzing WebGL Through Error Message Guided Mutation. USENIX Security Symposium 2023: 1883-1899, August 9-11, 2023, Anaheim, CA, USA
Xiang Li, Chaoyi Lu, Baojun Liu, Qifan Zhang, Zhou Li, Haixin Duan, Qi Li: The Maginot Line: Attacking the Boundary of DNS Caching Protection. USENIX Security Symposium 2023: 3153-3170, August 9-11, 2023, Anaheim, CA, USA
Fan Yang, Jiacen Xu, Chunlin Xiong, Zhou Li, Kehuan Zhang: PROGRAPHER: An Anomaly Detection System based on Provenance Graph Embedding. USENIX Security Symposium 2023: 4355-4372, August 9-11, 2023, Anaheim, CA, USA
Yifan Zhang, Arnav Vaibhav Malawade, Xiaofang Zhang, Yuhui Li, DongHwan Seong, Mohammad Abdullah Al Faruque, Sitao Huang: CARMA: Context-Aware Runtime Reconfiguration for Energy-Efficient Sensor Fusion. ISLPED 2023: 1-6, August 7-8, 2023, Vienna, Austria
Igor Nunes, Mike Heddes, Pere Vergés, Danny Abraham, Alexander V. Veidenbaum, Alex Nicolau, Tony Givargis: DotHash: Estimating Set Similarity Metrics for Link Prediction and Document Deduplication. KDD 2023: 1758-1769, August 6-10, 2023, Long Beach, CA, USA
Jamie Lohoff, Zhenming Yu, Jan Finkbeiner, Anil Kaya, Kenneth Michael Stewart, Hin Wai Lui, Emre Neftci: Interfacing Neuromorphic Hardware with Machine Learning Frameworks – A Review. ICONS 2023: 16:1-16:8, August 1-3, 2023, Santa Fe, NM, USA
Esmerald Aliaj, Alberto Krone-Martins, Joshua Garcia, Sang-Woo Jun: FarSlayer: Turnkey Acceleration of Legacy Software on Commodity FPGA Cards. ASAP 2023: 172-179, July 19-21, 2023, Porto, Portugal
Jiyoung An, Esmerald Aliaj, Sang-Woo Jun: PreCog: Near-Storage Accelerator for Heterogeneous CNN Inference. ASAP 2023: 45-52, July 19-21, 2023, Porto, Portugal
Niloofar Bahadori, Yoshitomo Matsubara, Marco Levorato, Francesco Restuccia: SplitBeam: Effective and Efficient Beamforming in Wi-Fi Networks Through Split Computing. ICDCS 2023: 864-874, July 18-21, 2023, Hong Kong
Mohsen Imani, Yeseong Kim, Behnam Khaleghi, Justin Morris, Haleh Alimohamadi, Farhad Imani, Hugo Latapie: Hierarchical, Distributed and Brain-Inspired Learning for Internet of Things Systems. ICDCS 2023: 511-522, July 18-21, 2023, Hong Kong
Zhe Zhou, Yanxiang Bi, Junpeng Wan, Yangfan Zhou, Zhou Li: Userspace Bypass: Accelerating Syscall-intensive Applications. OSDI 2023: 33-49, July 10-12, 2023
Bing Wang, Yan Gao, Zhoujun Li, Jian-Guang Lou: Know What I don’t Know: Handling Ambiguous and Unknown Questions for Text-to-SQL. ACL (Findings) 2023: 5701-5714, July 9-14, 2023, Toronto, Canada
Yupeng Zhang, Shensi Wang, Peiguang Li, Guanting Dong, Sirui Wang, Yunsen Xian, Zhoujun Li, Hongzhi Zhang: Pay Attention to Implicit Attribute Values: A Multi-modal Generative Framework for AVE Task. ACL (Findings) 2023: 13139-13151, July 9-14, 2023, Toronto, Canada
Mohanad Odema, James Ferlez, Yasser Shoukry, Mohammad Abdullah Al Faruque: SEO: Safety-Aware Energy Optimization Framework for Multi-Sensor Neural Controllers at the Edge. DAC 2023: 1-6, July 9-13, 2023, San Francisco, CA, USA
Jingyao Zhang, Mohsen Imani, Elaheh Sadredini: BP-NTT: Fast and Compact in-SRAM Number Theoretic Transform with Bit-Parallel Modular Multiplication. DAC 2023: 1-6, July 9-13, 2023, San Francisco, CA, USA
Halima Bouzidi, Mohanad Odema, Hamza Ouarnoughi, Smaïl Niar, Mohammad Abdullah Al Faruque: Map-and-Conquer: Energy-Efficient Mapping of Dynamic Neural Nets onto Heterogeneous MPSoCs. DAC 2023: 1-6, July 9-13, 2023, San Francisco, CA, USA
Nikil D. Dutt, Bryan Donyanavard: Lightning Talk: The New Era of Computational Cognitive Intelligence. DAC 2023: 1-2, July 9-13, 2023, San Francisco, CA, USA
Igor Nunes, Mike Heddes, Tony Givargis, Alexandru Nicolau: An Extension to Basis-Hypervectors for Learning from Circular Data in Hyperdimensional Computing. DAC 2023: 1-6, July 9-13, 2023, San Francisco, CA, USA
Hyunsei Lee, Jiseung Kim, Hanning Chen, Ariela Zeira, Narayan Srinivasa, Mohsen Imani, Yeseong Kim: Comprehensive Integration of Hyperdimensional Computing with Deep Learning towards Neuro-Symbolic AI. DAC 2023: 1-6, July 9-13, 2023, San Francisco, CA, USA
Mohsen Imani: Lightning Talk: Bridging Neuro-Dynamics and Cognition. DAC 2023: 1-2, , July 9-13, 2023, San Francisco, CA, USA
Junyao Wang, Sitao Huang, Mohsen Imani: DistHD: A Learner-Aware Dynamic Encoding Method for Hyperdimensional Classification. DAC 2023: 1-6, July 9-13, 2023, San Francisco, CA, USA
Junyao Wang, Hanning Chen, Mariam Issa, Sitao Huang, Mohsen Imani: Late Breaking Results: Scalable and Efficient Hyperdimensional Computing for Network Intrusion Detection. DAC 2023: 1-2, July 9-13, 2023, San Francisco, CA, USA
Xiangguo Liu, Yunpeng Luo, Anthony Goeckner, Trishna Chakraborty, Ruochen Jiao, Ningfei Wang, Yixuan Wang, Takami Sato, Qi Alfred Chen, Qi Zhu: Invited: Waving the Double-Edged Sword: Building Resilient CAVs with Edge and Cloud Computing. DAC 2023: 1-4, July 9-13, 2023, San Francisco, CA, USA
Dongjoo Seo, Ping-Xiang Chen, Huaicheng Li, Matias Bjørling, Nikil D. Dutt: Is Garbage Collection Overhead Gone? Case study of F2FS on ZNS SSDs. HotStorage 2023: 102-108, July 9, 2023, Boston, MA, USA
Jeffrey Chen, Sang-Woo Jun: Myrmec: FPGA-Accelerated SmartNIC for Cost and Power Efficient IoT Sensor Networks. SAMOS 2023: 57-71, July 2-6, 2023, Samos, Greece
Marc Titus Trifan, Alexandru Nicolau, Alexander V. Veidenbaum: Enhancing the Privacy of Machine Learning via faster arithmetic over Torus FHE. CSCloud/EdgeCom 2023: 46-52, July 1-3, 2023, Xiangtan, Hunan, China
Yashuo Wu, Carla-Fabiana Chiasserini, Francesco Malandrino, Marco Levorato: Invited Paper: Enhancing Privacy in Federated Learning via Early Exit. ApPLIED@PODC 2023: 10:1-10:5, June 19, 2023, Orlando, FL, USA
Zhihao Yao, Seyed Mohammadjavad Seyed Talebi, Mingyi Chen, Ardalan Amiri Sani, Thomas E. Anderson: Minimizing a Smartphone’s TCB for Security-Critical Programs with Exclusively-Used, Physically-Isolated, Statically-Partitioned Hardware. MobiSys 2023: 233-246, June 18-22, 2023, Helsinki, Finland
Rajat Bhattacharjya, Biswadip Maity, Nikil D. Dutt: Locate: Low-Power Viterbi Decoder Exploration using Approximate Adders. ACM Great Lakes Symposium on VLSI 2023: 409-413, June 5-7, 2023, Knoxville, TN, USA
Sercan Aygun, M. Hassan Najafi, Mohsen Imani, Ece Olcay Günes: Reconvergent Path-aware Simulation of Bit-stream Processing. ACM Great Lakes Symposium on VLSI 2023: 225-226, June 5-7, 2023, Knoxville, TN, USA
Mohsen Riahi Alam, M. Hassan Najafi, Nima TaheriNejad, Mohsen Imani, Lu Peng: Stochastic Computing for Reliable Memristive In-Memory Computation. ACM Great Lakes Symposium on VLSI 2023: 397-401, June 5-7, 2023, Knoxville, TN, USA
Sercan Aygun, M. Hassan Najafi, Mohsen Imani, Ece Olcay Günes: Bit-Stream Processing with No Bit-Stream: Efficient Software Simulation of Stochastic Vision Machines. ACM Great Lakes Symposium on VLSI 2023: 273-279, June 5-7, 2023, Knoxville, TN, USA
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, June 5-7, 2023, Knoxville, TN, USA
Hadi Noureddine, Omar Bekdache, Mohamad Al Tawil, Rouwaida Kanj, Ali Chehab, Mohammed E. Fouda, Ahmed M. Eltawil: High-Density FeFET-based CAM Cell Design Via Multi-Dimensional Encoding. ACM Great Lakes Symposium on VLSI 2023: 403-407, June 5-7, 2023, Knoxville, TN, USA
Mohanad Odema, James Ferlez, Goli Vaisi, Yasser Shoukry, Mohammad Abdullah Al Faruque: EnergyShield: Provably-Safe Offloading of Neural Network Controllers for Energy Efficiency. ICCPS 2023: 187-198, May 9-12, 2023, San Antonio, TX, USA
Wael Fatnassi, Haitham Khedr, Valen Yamamoto, Yasser Shoukry: BERN-NN: Tight Bound Propagation For Neural Networks Using Bernstein Polynomial Interval Arithmetic. HSCC 2023: 19:1-19:11, May 9-12, 2023, San Antonio, TX, USA
Yanan Guo, Takami Sato, Yulong Cao, Qi Alfred Chen, Yueqiang Cheng: Adversarial Attacks on Adaptive Cruise Control Systems. CPS-IoT Week Workshops 2023: 49-54, May 9-12, 2023, San Antonio, TX, USA
Mojtaba Taherisadr, Stelios Andrew Stavroulakis, Salma Elmalaki: adaPARL: Adaptive Privacy-Aware Reinforcement Learning for Sequential Decision Making Human-in-the-Loop Systems. IoTDI 2023: 262-274, May 9-12, 2023, San Antonio, TX, USA
Junchen Zhao, Yurun Song, Junlin Wang, Ian G. Harris: GAP-Gen: Guided Automatic Python Code Generation. EACL (Student Research Workshop) 2023: 37-51, May 2-4, 2023, Dubrovnik, Croatia
Haoran Pu, Ahmad Reza Danesh, Mahyar Safiallah, Jeffrey Lim, An H. Do, Zoran Nenadic, Payam Heydari: A CMOS BD-BCI Incorporating Stimulation with Dual-Mode Charge Balancing and Time-Domain Pipelined Recording. CICC 2023: 1-2, April 23-26, 2023, San Antonio, TX, USA
Halima Bouzidi, Mohanad Odema, Hamza Ouarnoughi, Mohammad Abdullah Al Faruque, Smaïl Niar: HADAS: Hardware-Aware Dynamic Neural Architecture Search for Edge Performance Scaling. DATE 2023: 1-6, April 17-19, 2023, Antwerp, Belgium
Nora Sperling, Alex Bendrick, Dominik Stöhrmann, Rolf Ernst, Bryan Donyanavard, Florian Maurer, Oliver Lenke, Anmol Surhonne, Andreas Herkersdorf, Walaa Amer, Caio Batista de Melo, Ping-Xiang Chen, Quang Anh Hoang, Rachid Karami, Biswadip Maity, Paul Nikolian, Mariam Rakka, Dongjoo Seo, Saehanseul Yi, Minjun Seo, Nikil D. Dutt, Fadi J. Kurdahi: Information Processing Factory 2.0 – Self-awareness for Autonomous Collaborative Systems. DATE 2023: 1-6, April 17-19, 2023, Antwerp, Belgium
Lukas Esterle, Nikil D. Dutt, Christian Gruhl, Peter R. Lewis, Lucio Marcenaro, Carlo S. Regazzoni, Axel Jantsch: Self-awareness in Cyber-Physical Systems: Recent Developments and Open Challenges. DATE 2023: 1-6, April 17-19, 2023, Antwerp, Belgium
Hamza Errahmouni Barkam, SungHeon Eavn Jeon, Calvin Yeung, Zhuowen Zou, Xun Jiao, Mohsen Imani: Comprehensive Analysis of Hyperdimensional Computing Against Gradient Based Attacks. DATE 2023: 1-2, April 17-19, 2023, Antwerp, Belgium
Sercan Aygun, M. Hassan Najafi, Mohsen Imani: A Linear-Time, Optimization-Free, and Edge Device-Compatible Hypervector Encoding. DATE 2023: 1-2, April 17-19, 2023, Antwerp, Belgium
Hamza Errahmouni Barkam, Sanggeon Yun, Paul R. Genssler, Zhuowen Zou, Che-Kai Liu, Hussam Amrouch, Mohsen Imani: HDGIM: Hyperdimensional Genome Sequence Matching on Unreliable highly scaled FeFET. DATE 2023: 1-6, April 17-19, 2023, Antwerp, Belgium
Jiseung Kim, Hyunsei Lee, Mohsen Imani, Yeseong Kim: Efficient Hyperdimensional Learning with Trainable, Quantizable, and Holistic Data Representation. DATE 2023: 1-6, April 17-19, 2023, Antwerp, Belgium
Margarita Geleta, Jiacen Xu, Manikanta Loya, Junlin Wang, Sameer Singh, Zhou Li, Sergio Gago Masagué: Design Factors of Maestro: A Serious Game for Robust AI Education. SIGCSE (2) 2023: 1318, March 15-18, 2023, Toronto, Canada
Xiang Li, Baojun Liu, Xuesong Bai, Mingming Zhang, Qifan Zhang, Zhou Li, Haixin Duan, Qi Li: Ghost Domain Reloaded: Vulnerable Links in Domain Name Delegation and Revocation. NDSS 2023, February 27 – March 3, 2023, San Diego, CA, USA
Jie Wu, Ian G. Harris, Hongzhi Zhao, Guangming Ling: A Graph-to-Sequence Model for Joint Intent Detection and Slot Filling. ICSC 2023: 131-138, February 1-3, Laguna Hills, CA, USA
Anas Alsoliman, Forough Shirin Abkenar, Marco Levorato: State-Recovery Protocol for URLLC Applications in 5G Systems. WiSNeT 2023: 20-23, January 22-25, 2023, Las Vegas, NV, USA
Hussam Amrouch, Paul R. Genssler, Mohsen Imani, Mariam Issa, Xun Jiao, Wegdan Mohammad, Gloria Sepanta, Ruixuan Wang: Beyond von Neumann Era: Brain-Inspired Hyperdimensional Computing to the Rescue. ASP-DAC 2023: 553-560, January 16-19, 2023, Tokyo, Japan
Nitish Nagesh, Iman Azimi, Tom Andriola, Amir M. Rahmani, Ramesh C. Jain: Towards Deep Personal Lifestyle Models Using Multimodal N-of-1 Data. MMM (1) 2023: 589-600, January 9-12, 2023, Bergen, Norway
Asmaa Abdallah, Abdulkadir Celik, Mohammad M. Mansour, Ahmed M. Eltawil: Deep Reinforcement Learning Based Beamforming Codebook Design for RIS-aided mmWave Systems. CCNC 2023: 1020-1026, January 8-11, 2023, Las Vegas, NV, USA