Yuxin (Myles) Liu, Zhihao Yao, Mingyi Chen, Ardalan Amiri Sani, Sharad Agarwal, Gene Tsudik: ProvCam: A Camera Module with Self-Contained TCB for Producing Verifiable Videos. MobiCom 2024: 588-602, November 18-22, 2024, Washington DC, DC, USA
Yunpeng Xing, Chaoyi Lu, Baojun Liu, Haixin Duan, Junzhe Sun, Zhou Li: Yesterday Once More: Global Measurement of Internet Traffic Shadowing Behaviors. IMC 2024: 230-240, November 4-6, 2024, Madrid, Spain
Danyu Sun, Joann Qiongna Chen, Chen Gong, Tianhao Wang, Zhou Li: NetDPSyn: Synthesizing Network Traces under Differential Privacy. IMC 2024: 545-554, November 4-6, 2024, Madrid, Spain
Mohanad Odema, Luke Chen, Hyoukjun Kwon, Mohammad Abdullah Al Faruque: SCAR: Scheduling Multi-Model AI Workloads on Heterogeneous Multi-Chiplet Module Accelerators. MICRO 2024: 565-579, November 2-6, 2024, Austin, TX, USA
Ajan Subramanian, Zhongqi Yang, Iman Azimi, Amir M. Rahmani: Graph-Augmented LLMs for Personalized Health Insights: A Case Study in Sleep Analysis. BSN 2024: 1-4, October 15-17, 2024, Chicago, IL, USA
Ziyu Wang, Anil Kanduri, Seyed Amir Hossein Aqajari, Salar Jafarlou, Sanaz R. Mousavi, Pasi Liljeberg, Shaista Malik, Amir M. Rahmani: ECG Unveiled: Analysis of Client Re-Identification Risks in Real-World ECG Datasets. BSN 2024: 1-4, October 15-17, 2024, Chicago, IL, USA
Yuning Wang, Zhongqi Yang, Iman Azimi, Amir M. Rahmani, Pasi Liljeberg: Attention-Based Explainable AI for Wearable Multivariate Data: A Case Study on Affect Status Prediction. BSN 2024: 1-4, October 15-17, 2024, Chicago, IL, USA
Dylan Lee, Shaoyuan Xie, Shagoto Rahman, Kenneth Pat, David Lee, Qi Alfred Chen: “Prompter Says”: A Linguistic Approach to Understanding and Detecting Jailbreak Attacks Against Large-Language Models. LAMPS@CCS 2024: 77-87, October 14-18, 2024, Salt Lake City, UT, USA
Hamidreza Alikhani, Anil Kanduri, Pasi Liljeberg, Amir M. Rahmani, Nikil D. Dutt: Work-in-Progress: Context and Noise Aware Resilience for Autonomous Driving Applications. CODES+ISSS 2024: 6, September 29 – October 4, 2024, Raleigh, NC, USA
Se-Min Lim, Esmerald Aliaj, Sang-Woo Jun: Morbius: Platform-Adaptive Hardware Accelerator for Scalable Sequence Motif Discovery. e-Science 2024: 1-10, September 16-20, 2024, Osaka, Japan
Yuxiang Liu, Osama Amin, Noha Alharthi, Jaafar M. H. Elmirghani, Ahmed M. Eltawil, Basem Shihada: Empowering Cognitive City Wireless Communication Vision. SM 2024: 73-80, September 16-18, 2024, Niagara Falls, ON, Canada
Chakshu Moar, Faraz Tahmasebi, Michael Pellauer, Hyoukjun Kwon: Characterizing the Accuracy-Efficiency Trade-off of Low-rank Decomposition in Language Models. IISWC 2024: 194-209, September 15-17, 2024, Vancouver, BC, Canada
Ahmet M. Elbir, Kumar Vijay Mishra, Abdulkadir Celik, Ahmed M. Eltawil: Cell-Free Integrated Sensing and Communications with Hybrid Beamforming. SPAWC 2024: 476-480, September 10-13, 2024, Lucca, Italy
Harrison Espino, Jeffrey L. Krichmar: Vector-Based Navigation Inspired by Directional Place Cells. SAB 2024: 27-38, September 9-12, 2024, Irvine, CA, USA
Seyed A. Mohaddesi, Mary Hegarty, Elizabeth R. Chrastil, Jeffrey L. Krichmar: Benefit of Varying Navigation Strategies in Robot Teams. SAB 2024: 63-77, September 9-12, 2024, Irvine, CA, USA
Michael A. Pfeiffer, Sriskandha Kandimalla, Jiahe Liu, Katherine Hsu, Eleanore J. Kirshner, Alina Yuan, Hin Wai Lui, Jeffrey L. Krichmar: CuttleBot: Emulating Cuttlefish Behavior and Intelligence in a Novel Robot Design. SAB 2024: 93-105, September 9-12, 2024, Irvine, CA, USA
Hongju Pae, Jeffrey L. Krichmar: Integrated Information in Genetically Evolved Braitenberg Vehicles. SAB 2024: 236-247, September 9-12, 2024, Irvine, CA, USA
Esmerald Aliaj, Alberto Krone-Martins, Sang-Woo Jun: BMoss: Reconfigurable Hardware Accelerator for Scalable Plagiarism Detection. APSys 2024: 102-107, September 4-5, 2024, Kyoto, Japan
Dylan Zueck, Nathaniel Atallah, Ian Do, Zhihao Yao, Ardalan Amiri Sani: Hora: High Assurance Periodic Availability Guarantee for Life-Critical Applications on Smartphones. APSys 2024: 115-121, September 4-5, 2024, Kyoto, Japan
Shuo Wang, Hongsheng Hu, Jiamin Chang, Benjamin Zi Hao Zhao, Qi Alfred Chen, Minhui Xue: DNN-GP: Diagnosing and Mitigating Model’s Faults Using Latent Concepts. USENIX Security Symposium 2024, August 14-16, 2024, Philadelphia, PA, USA
Qingzhao Zhang, Shuowei Jin, Ruiyang Zhu, Jiachen Sun, Xumiao Zhang, Qi Alfred Chen, Z. Morley Mao: On Data Fabrication in Collaborative Vehicular Perception: Attacks and Countermeasures. USENIX Security Symposium 2024, August 14-16, 2024, Philadelphia, PA, USA
Qifan Zhang, Xuesong Bai, Xiang Li, Haixin Duan, Qi Li, Zhou Li: ResolverFuzz: Automated Discovery of DNS Resolver Vulnerabilities with Query-Response Fuzzing. USENIX Security Symposium 2024, August 14-16, 2024, Philadelphia, PA, USA
Hamidreza Alikhani, Ziyu Wang, Anil Kanduri, Pasi Liljeberg, Amir M. Rahmani, Nikil D. Dutt: EA^2: Energy Efficient Adaptive Active Learning for Smart Wearables. ISLPED 2024: 1-6, August 5-7, 2024, Newport Beach, CA, USA
Jeffrey Chen, Sang-Woo Jun, Aditi Mundra, Jonathan Ta: Xyloni: Very Low Power Neural Network Accelerator for Intermittent Remote Visual Detection of Wildfire and Beyond. ISLPED 2024: 1-6, August 5-7, 2024, Newport Beach, CA, USA
Mark Amayag, Jennifer Auxier, Yuning Wang, Fatemeh Sarhaddi, Amir-Mohammad Rahmani, Anna Axelin: Finnish Immigrants’ Affective Attitude Towards the IMPMS for Loneliness Detection: A Descriptive Qualitative Study. Nursing Informatics 2024: 211-215, July 28-31, 2024, Manchester, UK
Zahir A. Chaudhry, Ryan H. Baxter, Jonathan Lee Fu, Po T. Wang, Won Joon Sohn, An H. Do: Feasibility of Immersive Virtual Reality Feedback for Enhancing Learning in Brain-Computer Interface Control of Ambulation. EMBC 2024: 1-4, July 15-19, 2024, Orlando, FL, USA
Shravan Thaploo, Derrick Lin, Gregory J. Brewer, An H. Do, Zoran Nenadic: Pruning functional connections in human induced pluripotent stem cell derived neural networks. EMBC 2024: 1-5, July 15-19, 2024, Orlando, FL, USA
Shravan Thaploo, Derrick Lin, Yongcheng Li, Michael Vu, Gregory J. Brewer, Zoran Nenadic, An H. Do: A simplified method for long-term maintenance of human induced pluripotent stem-cell derived neural networks. EMBC 2024: 1-4, July 15-19, 2024, Orlando, FL, USA
Abeer Alamoudi, Abdulkadir Celik, Ahmed M. Eltawil: HBC Transmission Policies for Energy Harvesting Empowered ECG Nodes. EMBC 2024: 1-6, July 15-19, 2024, Orlando, FL, USA
Mahyar Abbasian, Zhongqi Yang, Elahe Khatibi, Pengfei Zhang, Nitish Nagesh, Iman Azimi, Ramesh C. Jain, Amir M. Rahmani: Knowledge-Infused LLM-Powered Conversational Health Agent: A Case Study for Diabetes Patients. EMBC 2024: 1-4, July 15-19, 2024, Orlando, FL, USA
Yong Huang, Charles A. Downs, Amir M. Rahmani: Optimizing Warfarin Dosing Using Contextual Bandit: An Offline Policy Learning and Evaluation Method. EMBC 2024: 1-4, July 15-19, 2024, Orlando, FL, USA
Kianoosh Kazemi, Iina Ryhtä, Iman Azimi, Hannakaisa Niela-Vilén, Anna Axelin, Amir M. Rahmani, Pasi Liljeberg: Impact of Physical Activity on Quality of Life During Pregnancy: A Causal ML Approach. EMBC 2024: 1-6, July 15-19, 2024, Orlando, FL, USA
Ali Rostami, Ramesh C. Jain, Amir M. Rahmani: Food Recommendation as Language Processing (F-RLP): A Personalized and Contextual Paradigm. EMBC 2024: 1-4, July 15-19, 2024, Orlando, FL, USA
Ziyu Wang, Zhongqi Yang, Iman Azimi, Amir M. Rahmani: Differential Private Federated Transfer Learning for Mental Health Monitoring in Everyday Settings: A Case Study on Stress Detection. EMBC 2024: 1-5, July 15-19, 2024, Orlando, FL, USA
Ahmet M. Elbir, Asmaa Abdallah, Abdulkadir Celik, Ahmed M. Eltawil: Sparse Array Design for ISAC in the Presence of Beam-Squint. ICCSPA 2024: 1-6, July 8-11, 2024, Istanbul, Turkiye
Ahmet M. Elbir, Kumar Vijay Mishra, Abdulkadir Celik, Ahmed M. Eltawil: Near-Field Automotive Joint Radar-Communications with Spatial Path Index Modulation. SAM 2024: 1-5, July 8-11, 2024, Corvallis, OR, USA
Yenchia Yu, Marco Levorato, Carla-Fabiana Chiasserini: Tensor Compression and Reconstruction in Split DNN for Real-time Object Detection at the Edge. MeditCom 2024: 149-154, July 8-11, 2024, Madrid, Spain
Dongjoo Seo, Yongsoo Joo, Nikil D. Dutt: Improving Virtualized I/O Performance by Expanding the Polled I/O Path of Linux. HotStorage 2024, July 8-9, 2024, Santa Clara, CA, USA
Hao Liu, Mohammed E. Fouda, Ahmed M. Eltawil, Suhaib A. Fahmy: Split DNN Inference for Exploiting Near-Edge Accelerators. EDGE 2024: 84-91, July 7-13, 2024, Shenzhen, China
Mojtaba F. AlShams, Kamilya S. Smagulova, Suhaib A. Fahmy, Mohammed E. Fouda, Ahmed M. Eltawil: DONNA: Distributed Optimized Neural Network Allocation on CIM-Based Heterogeneous Accelerators. EDGE 2024: 149-156, July 7-13, 2024, Shenzhen, China
Giuseppe Esposito, Juan-David Guerrero-Balaguera, Josie E. Rodriguez Condia, Marco Levorato, Matteo Sonza Reorda: Enhancing the Reliability of Split Computing Deep Neural Networks. IOLTS 2024: 1-7, July 3-5, 2024, Rennes, France
Francesco Pessia, Juan-David Guerrero-Balaguera, Robert Limas Sierra, Josie E. Rodriguez Condia, Marco Levorato, Matteo Sonza Reorda: Effective Application-level Error Modeling of Permanent Faults on AI Accelerators. IOLTS 2024: 1-7, July 3-5, 2024, Rennes, France
Mehrdad Morsali, Sepehr Tabrizchi, Ravi Teja Velpula, Mano Bala Sankar Muthu, Hieu Pham Trung Nguyen, Mohsen Imani, Arman Roohi, Shaahin Angizi: Energy-Efficient Near-Sensor Event Detector Based on Multilevel Ga2O3 RRAM. ISVLSI 2024: 331-336, July 1-3, 2024, Knoxville, TN, USA
Manuel E. Segura, Pere Vergés, Justin Tian Jin Chen, Ramesh Arangott, Angela Kristine Garcia, Laura Garcia Reynoso, Alexandru Nicolau, Tony Givargis, Sergio Gago Masagué: Enhanced Detection of Transdermal Alcohol Levels Using Hyperdimensional Computing on Embedded Devices. IJCNN 2024: 1-8, June 30 – July 5, 2024, Yokohama, Japan
Pere Vergés, Igor Nunes, Mike Heddes, Tony Givargis, Alexandru Nicolau: Molecular Classification Using Hyperdimensional Graph Classification. IJCNN 2024: 1-8, June 30 – July 5, 2024, Yokohama, Japan
Eugen Slapak, Matús Dopiriak, Mohammad Abdullah Al Faruque, Juraj Gazda, Marco Levorato: Distributed Radiance Fields for Edge Video Compression and Metaverse Integration in Autonomous Driving. SMARTCOMP 2024: 71-76, June 29 – July 2, 2024, Osaka Japan
Mattia Giovanni Campana, Nikil D. Dutt: Message from the DM-SmartHealth 2024 Co-Chairs; SMARTCOMP 2024. SMARTCOMP 2024: xx, June 29 – July 2, 2024, Osaka, Japan
Daniele Cacciabue, Jacopo Marino, Francesco Aglieco, Marco Levorato, Domenico Perroni, Fulvio Risso: Benchmarking Different Strategies for Offloading ROS2 Computation to the Edge. NetSoft 2024: 49-54, June 24-28, 2024, Saint Louis, MO, USA
Junyao Wang, Mohammad Abdullah Al Faruque: SMORE: Similarity-Based Hyperdimensional Domain Adaptation for Multi-Sensor Time Series Classification. DAC 2024: 1:1-1:6, June 23-27, 2024, San Francisco, CA, USA
Mehrdad Morsali, Brendan Reidy, Deniz Najafi, Sepehr Tabrizchi, Mohsen Imani, Mahdi Nikdast, Arman Roohi, Ramtin Zand, Shaahin Angizi: Lightator: An Optical Near-Sensor Accelerator with Compressive Acquisition Enabling Versatile Image Processing. DAC 2024: 115:1-115:6, June 23-27, 2024, San Francisco, CA, USA
Seongyoung Kang, Sang-Woo Jun: Sting: Near-storage accelerator framework for scalable triangle counting and beyond. DAC 2024: 171:1-171:6, June 23-27, 2024, San Francisco, CA, USA
Takami Sato, Justin Yue, Nanze Chen, Ningfei Wang, Qi Alfred Chen: Intriguing Properties of Diffusion Models: An Empirical Study of the Natural Attack Capability in Text-to-Image Generative Models. CVPR 2024: 24635-24644, June 16-22, 2024, Seattle, WA, USA
Prathyush Poduval, Zhuowen Zou, Mohsen Imani: HDQMF: Holographic Feature Decomposition using Quantum Algorithms. CVPR 2024: 10978-10987, June 16-22, 2024, Seattle, WA, USA
Ping-Xiang Chen, Dongjoo Seo, Biswadip Maity, Nikil D. Dutt: KDTree-SOM: Self-organizing Map based Anomaly Detection for Lightweight Autonomous Embedded Systems. ACM Great Lakes Symposium on VLSI 2024: 700-705, June 12-14, 2024, Clearwater, FL, USA
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, June 12-14, 2024, Clearwater, FL, USA
Simone Angelucci, Roberto Valentini, Marco Levorato, Fortunato Santucci, Carla-Fabiana Chiasserini: Edge Computing with Early Exiting for Adaptive Inference in Mobile Autonomous Systems. ICC 2024: 2980-2985, June 9-13, 2024, Denver, CO, USA
Ildi Alla, Hervé B. Olou, Valeria Loscrì, Marco Levorato: From Sound to Sight: Audio-Visual Fusion and Deep Learning for Drone Detection. WISEC 2024: 123-133, May 27-29, 2024, Seoul, Republic of Korea
Jian Yang, Hongcheng Guo, Yuwei Yin, Jiaqi Bai, Bing Wang, Jiaheng Liu, Xinnian Liang, Linzheng Chai, Liqun Yang, Zhoujun Li: m3P: Towards Multimodal Multilingual Translation with Multimodal Prompt. LREC/COLING 2024: 10858-10871, May 20-25, 2024, Torino, Italy
Shun Zhang, Jian Yang, Jiaqi Bai, Chaoran Yan, Tongliang Li, Zhao Yan, Zhoujun Li: New Intent Discovery with Attracting and Dispersing Prototype. LREC/COLING 2024: 12193-12206, May 20-25, 2024, Torino, Italy
Grace Pan, Thea Weiss, Seyed Amirhosein Mohaddesi, John W. Szura, Jeffrey L. Krichmar: Navigation and Cognitive Load in Telepresence Robots. ICDL 2024: 1-6, May 20-23, 2024, Austin, TX, USA
Chetna Singhal, Y. Wu, Francesco Malandrino, Marco Levorato, Carla-Fabiana Chiasserini: Resource-aware Deployment of Dynamic DNNs over Multi-tiered Interconnected Systems. INFOCOM 2024: 1621-1630, May 20-23, 2024, Vancouver, BC, Canada
Jiacen Xu, Xiaokui Shu, Zhou Li: Understanding and Bridging the Gap Between Unsupervised Network Representation Learning and Security Analytics. SP 2024: 3590-3608, May 19-23, 2024, San Francisco, CA, USA
Xiang Li, Wei Xu, Baojun Liu, Mingming Zhang, Zhou Li, Jia Zhang, Deliang Chang, Xiaofeng Zheng, Chuhan Wang, Jianjun Chen, Haixin Duan, Qi Li: TuDoor Attack: Systematically Exploring and Exploiting Logic Vulnerabilities in DNS Response Pre-processing with Malformed Packets. SP 2024: 4459-4477, May 19-23, 2024, San Francisco, CA, USA
Jinane Bazzi, Rachid Jamil, Dana El Hajj, Rouwaida Kanj, Mohammed E. Fouda, Ahmed M. Eltawil: Reconfigurable Precision SRAM-based Analog In-memory-compute Macro Design. ISCAS 2024: 1-5, May 19-22, 2024, Singapore, Singapore
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, May 13-17, 2024, Yokohama, Japan
Timothy K. Johnsen, Marco Levorato: NaviSlim: Adaptive Context-Aware Navigation and Sensing via Dynamic Slimmable Networks. IoTDI 2024: 110-121, May 13-16, 2024, Hong Kong, Hong Kong
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, May 5-8, 2024, Orlando, FL, USA
Kun Wu, Mert Hidayetoglu, Xiang Song, Sitao Huang, Da Zheng, Israt Nisa, Wen-Mei Hwu: Hector: An Efficient Programming and Compilation Framework for Implementing Relational Graph Neural Networks in GPU Architectures. ASPLOS (3) 2024: 528-544, April 27-May 1, 2024, La Jolla, CA, USA
Li Zhang, Ahmed M. Eltawil, Khaled N. Salama: Hardware-Friendly Lightweight Convolutional Neural Network Derivation at The Edge. AICAS 2024: 11-15, April 22-25, 2024, Abu Dhabi, United Arab Emirates
DiDiego A. Silva, Ayan Shymyrbay, Kamilya Smagulova, Ahmed Elsheikh, Mohamed E. Fouda, Ahmed M. Eltawil: End-to-End Edge Neuromorphic Object Detection System. AICAS 2024: 194-198, April 22-25, 2024, Abu Dhabi, United Arab Emirates
Ayan Shymyrbay, Mohammed E. Fouda, Ahmed M. Eltawil: Towards Automated FPGA Compilation of Spiking Neural Networks. AICAS 2024: 223-22, April 22-25, 2024, Abu Dhabi, United Arab Emirates
Juan-David Guerrero-Balaguera, Josie E. Rodriguez Condia, Marco Levorato, Matteo Sonza Reorda: Evaluating the Reliability of Supervised Compression for Split Computing. VTS 2024: 1-6, April 22-24, 2024, Tempe, AZ, USA
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, April 21-24, 2024, Denver, CO, USA
Amr M. Abdelhady, Abdulkadir Çelik, Carles Diaz-Vilor, Hamid Jafarkhani, Ahmed M. Eltawil: Operation Optimization of Laser-Powered Aerial Data Harvesting for Passive IoT Networks. WCNC 2024: 1-6, April 21-24, 2024, Dubai, United Arab Emirates
Ahmet M. Elbir, Asmaa Abdallah, Abdulkadir Celik, Ahmed M. Eltawil: Spatial Path Index Modulation to Combat Beam-Squint Effect in THz-ISAC Systems. WCNC 2024: 1-6, April 21-24, 2024, Dubai, United Arab Emirates
Ahmed Hussain, Asmaa Abdallah, Ahmed M. Eltawil: Near-Field Channel Estimation for Ultra-Massive MIMO Antenna Array with Hybrid Architecture. WCNC 2024: 1-6, April 21-24, 2024, Dubai, United Arab Emirates
Mohamad Fakih, Rahul Dharmaji, Yasamin Moghaddas, Gustavo Quiros, Oluwatosin Ogundare, Mohammad Abdullah Al Faruque: LLM4PLC: Harnessing Large Language Models for Verifiable Programming of PLCs in Industrial Control Systems. ICSE-SEIP 2024: 192-203, April 14-20, 2024, Lisbon, Portugal
Giuseppe Esposito, Juan-David Guerrero-Balaguera, Josie E. Rodriguez Condia, Marco Levorato, Matteo Sonza Reorda: Assessing the Reliability of Different Split Computing Neural Network Applications. LATS 2024: 1-6, April 9-12, 2024, Maceio, Brazil
Mahyar Abbasian, Taha Rajabzadeh, Ahmadreza Moradipari, Seyed Amir Hossein Aqajari, Hongsheng Lu, Amir M. Rahmani: Controlling the Latent Space of GANs through Reinforcement Learning: A Case Study on Task-based Image-to-Image Translation. SAC 2024: 1061-1063, April 8-12, 2024, Avila, Spain
Matteo Mendula, Paolo Bellavista, Marco Levorato, Sharon Ladron de Guevara Contreras: Furcifer: a Context Adaptive Middleware for Real-world Object Detection Exploiting Local, Edge, and Split Computing in the Cloud Continuum. PerCom 2024: 47-56, March 11-15, 2024, Biarritz, France
Xiaoyu Niu, Yanjun Zhang, Yifan Zhang, Hongzheng Tian, Bo Yu, Shaoshan Liu, Sitao Huang: Accelerating Autonomous Path Planning on FPGAs with Sparsity-Aware HW/SW Co-Optimizations. FPGA 2024: 42, March 3-5, 2024, Monterey, CA, USA
Hongcheng Guo, Jian Yang, Jiaheng Liu, Jiaqi Bai, Boyang Wang, Zhoujun Li, Tieqiao Zheng, Bo Zhang, Junran Peng, Qi Tian: LogFormer: A Pre-train and Tuning Pipeline for Log Anomaly Detection. AAAI 2024: 135-143, February 20-27, 2024, Vancouver, Canada
Ying Mo, Jian Yang, Jiahao Liu, Qifan Wang, Ruoyu Chen, Jingang Wang, Zhoujun Li: MCL-NER: Cross-Lingual Named Entity Recognition via Multi-View Contrastive Learning. AAAI 2024: 18789-18797, February 20-27, 2024, Vancouver, Canada
Junyao Wang, Arnav Vaibhav Malawade, Junhong Zhou, Shih-Yuan Yu, Mohammad Abdullah Al Faruque: RS2G: Data-Driven Scene-Graph Extraction and Embedding for Robust Autonomous Perception and Scenario Understanding. WACV 2024: 7478-7487, January 3-8, 2024, Waikoloa, HI, USA
Ahamed Al Nahian, Brian Demsky: FlowProf: Profiling Multi-threaded Programs using Information-Flow. CC 2024: 137-149, March 2-3, 2024, Edinburgh, United Kingdom
Chen Ma, Ningfei Wang, Qi Alfred Chen, Chao Shen: SlowTrack: Increasing the Latency of Camera-Based Perception in Autonomous Driving Using Adversarial Examples. AAAI 2024: 4062-4070, February 20-27, 2024, Vancouver, Canada
Nicholas Alonso, Jeffrey L. Krichmar, Emre Neftci: Understanding and Improving Optimization in Predictive Coding Networks. AAAI 2024: 10812-10820, February 20-27, 2024, Vancouver, Canada