| Reimagining Mutual Information for Defense against Data Leakage in Collaborative Inference | NeurIPS | 2024 |
| Tuning System for Large Language Models on the Edge | MobiCom | 2024 |
| MulPi :A Multi-Class and Patient- Independent | BioCAS | 2024 |
| EDALearn: A Comprehensive RTL-to-Signoff EDA Benchmark for Democratized and Reproducible ML for EDA Research | ICCAD | 2024 |
| DistDNAS: Search Efficient Feature Interactions | 2024 IEEE International Conference on Big Data | 2024 |
OpenOOD v1.5: Enhanced Benchmark for Out-of-Distribution Detection | Journal of Data-centric Machine Learning Research (2024) Submitted 10/23; Revised 10/24; Published 10/24 | 2024 |
| PlugVFL: Robust and IP-Protecting Vertical Federated Learning against Unexpected Quitting of Parties | 2024 IEEE International Conference on Big Data (Big Data) | 2024 |
| OSR-ViT: A Simple and Modular Framework for Open-Set Object Detection and Discovery | 2024 IEEE International Conference on Big Data | 2024 |
| SLED: Self Logits Evolution Decoding for Improving Factuality in Large Language Models Jianyi Zhang1, etal | NeurIPS | 2024 |
| A Survey: Collaborative Hardware and Software Design in the Era of Large Language Models Cong Guo, et al | IEEE CIRCUITS AND SYSTEMS MAGAZINE | 2025 |
| ARTIST: Improving the Generation of Text-rich Images with Disentangled Diffusion Models and Large Language Models Jianyi Zhang1*etal | WACV | 2025 |
| Delta-NAS: Difference of Architecture Encoding for Predictor-based Evolutionary Neural Architecture Search | WACV | 2025 |
| MLLM-LLaV A-FL: Multimodal Large Language Model Assisted Federated | WACV | 2025 |
| EDAAqGDP: Quantum Legalization and Detailed Placement for Superconducting Quantum Computers Junyao Zhang1, et al | 2025 Design, Automation & Test in Europe Conference | 2025 |
| Prosperity : Accelerating Spiking Neural Networks | HPCA | 2025 |
| TowardsAutomated Model Design on Recommender | TORS | 2025 |
| PROACTIVE PRIVACY AMNESIA FOR LARGE LANGUAGE MODELS :SAFEGUARDING PII WITH NEGLIGIBLE IMPACT ON MODEL UTILITY Martin Kuo1∗, et al | ICLR | 2025 |
| Emerging Computing Mechanisms for Edge AI | IEEE Nano | 2025 |
| FEDPROPHET :MEMORY -EFFICIENT FEDERATED ADVERSARIAL TRAINING VIA ROBUST AND CONSISTENT CASCADE LEARNING Minxue Tang etal | MLSys | 2025 |
| Efficient and Robust EdgeAI: Software,Hardware, | TECS | 2025 |
| Effect of Capacitor Mismatch Nonlinearity on Inference Accuracy in Analog Compute-in-Memory | ISCAS | 2025 |
| MonoSparse-CAM: Efficient Tree Model Processing via Monotonicity and Sparsity in CAMs Tergel Molom-Ochir, et al | ISCAS | 2025 |
Advancing real-time infectious disease forecasting using large language models | Nature Computational Science | 2025 |
| Efficient Neuro-Symbolic Policy using In-Memory Computing Tergel Molom-Ochir et al | Proceedings of Machine Learning Research vol 288: 1–12, 2025 2nd International Conference on Neuro-symbolic Systems (NeuS) | 2025 |
| AutoRAC: Automated Processing-in-Memory Accelerator Design | GLSVLSI | 2025 |
| Ecco: Improving Memory Bandwidth and Capacity for LLMs via | ISCA | 2025 |
| Phi: Leveraging Pattern-based Hierarchical Sparsity for High-Efficiency Spiking Neural Networks | ISCA | 2025 |
| QPlacer: Frequency-Aware Component Placement for | ISCA | 2025 |
| Transitive Array: An Efficient GEMM Accelerator with Result | ISCA | 2025 |
| Decentralized AI-Control Framework for Multi-Party Multi-Network 6G Deployments Merim Dzaferagic∗, etal | Towards6G | 2025 |
| Decentralized Multi-Party Multi-Network AI for Global Deployment of 6G Wireless Systems Merim Dzaferagic∗et al | Towards6G | 2025 |
| SPEECH PRUNE : Context-aware Token Pruning for Speech Information Retrieval 1stYueqian Lin∗et al | ICME | 2025 |
| Boosting Adversarial Robustness with CLAT: | ICML | 2025 |
| CoreMatching: A Co-adaptive Sparse Inference Framework with Token and Neuron Pruning for Comprehensive Acceleration of Vision-Language Models Qinsi Wang et al | ICML | 2025 |
| SADA: Stability-guided Adaptive Diffusion Acceleration Ting Jiang* et al | ICML | 2025 |
| Advancements in Content-Addressable Memory (CAM) Circuits: State-of-the-Art, Applications, and Future Directions in the AI Domain Tergel Molom-Ochir et al | IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS—I: REGULAR P APERS, VOL. 72, NO. 8, AUGUST 2025 | 2025 |
| ASYNCHRONOUS LLM FUNCTION CALLING | arXiv:2412.07017v1 [cs.CL] 9 Dec 2024 | 2024 |
| A General Framework for Data-Use Auditing of ML Mo dels — Zonghao Huang | CCS24 | 2024 |
| CATE Estimation With Potential Outcome Imputation From Local Regression — Ahmed Aloui | 2024 | |
| COMPACT: COMPositional Atomic-to-Complex Visual Capability Tuning — Xindi Wu | arXiv:2504.21850v1 [cs.CV] 30 Apr 2025 | 2025 |
| ICONS: Influence Consensus for Vision-Language Data Selection — Xindi Wu | arXiv:2501.00654v2 [cs.CV] 6 Jan 2025 | 2025 |
| Byzantine-Robust Decentralized Federated Learning | CCS24 | 2024 |
| TimelyLLM — : Segmented LLM Serving System | arXiv:2412.18695v1 [cs.RO] 24 Dec 2024 | 2024 |
| Babel A Scalable Pre-trained Model for Multi-Mo dal Sensing | SenSys25 | 2025 |
| “Impressively Scary:’ Exploring User Perceptions and Reactions to Unraveling Machine Learning Models in social media applications | CHI25 | 2025 |
| Conditional Average Treatment Effect Estimation Under Hidden Confounders — Ahmed Aloui | 2025 | |
| CORD: Low-Latency, Bandwidth-Efficient and Scalable Release — Consistency via Directory Ordering | ISCA25 | 2025 |
DEEP COMPRESSION AUTOENCODER FOR EFFICIENT HIGH-RESOLUTION DIFFUSION MODELS | ICLR 2025 | 2025 |
| Bridging Heterogeneous Wireless Networks with Metasurfaces | Dissertation | 2025 |
| Exploring Intelligent Dynamic Resource Provisioning for Elastic — Massive MIMO vRAN | HOTMOBILE ’25 | 2025 |
| DuoAttention: Efficient Long-Context LLM Inference with Retrieval and Streaming Heads | ICLR25 | 2025 |
| A Generalized Deep Learning Model for Signal — Coverage Prediction in the CBRS Band | DYSPAN25 | 2025 |
| Certifiably Robust Image Watermark | ECCV24 | 2024 |
Beyond neural data: Cognitive biometrics and mental privacy | Neuron 112 | 2024 |
| Found in Translation: A Generative Language Modeling Approach to Memory | SEC25 | 2025 |
| Advancing the Understanding and Evaluation of AR-Generated Scenes When Vision-Language Models Shine and Stumble | 2025 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW) | 2025 |
| Serve Programs, Not Prompts — In Gim | HOTOS ’25 | 2025 |
| HART: EFFICIENT VISUAL GENERATION WITH HYBRID AUTOREGRESSIVE TRANSFORMER | arXiv:2410.10812v1 [ cs.CV] 14 Oct 2024 | 2024 |
| Hierarchical Federated Learning with Privacy | 2024 IEEE International Conference on Big Data | 2024 |
| STRINGLLM: UNDERSTANDING THE STRING PROCESSING CAPABILITY OF LARGE LANGUAGE MODELS | ICLR 2025 | 2025 |
| A TRANSFER ATTACK TO IMAGE WATERMARKS | ICLR 2025 | 2025 |
COCOON: ROBUST MULTI-MODAL PERCEPTION WITH UNCERTAINTY-AWARE SENSOR FUSION | ICLR 2025 | 2025 |
| What is Dataset Distillation Learning? | 41 st International Conference on Machine Learning | 2024 |
| DataSentinel: A Game-Theoretic Detection of Prompt Injection Attacks — Yupei Liu | IEEES | 2025 |
Apple vs. Meta: A Comparative Study on Spatial Tracking in SOTA XR Headsets | ACM MobiCom '24 | 2024 |
| In-Context Reinforcement Learning From Suboptimal Historical Data — Juncheng Dong | 42 nd International Conference on Machine Learning | 2025 |
| RaGNNarok: A Light-Weight Graph Neural Network for Enhancing radar point clouds | arXiv:2507.00937v1 [cs.RO] 1 Jul 2025 | 2025 |
“Looking” into Attention Patterns in Extended Reality: An Eye Tracking–Based Study | ISMAR2024 | 2024 |
| LEGO: Spatial Accelerator Generation | 2025 IEEE International Symposium on High-Performance Computer Architecture | 2025 |
| Reimagining Mutual Information for Defense against Data Leakage in Collaborative Inference | NeurIPS 2024 | 2024 |
| Multi-Span OSNR and GSNR Prediction using Cascaded Learning | 2025 | |
| Scalable Machine Learning Models for Optical Transmission System Management | OFC2025 | 2024 |
PALMBENCH: A COMPREHENSIVE BENCHMARK OF COMPRESSED LARGE LANGUAGE MODELS ON MOBILE PLATFORMS | ICLR 2025 | 2025 |
Benchmark suites instead of leaderboards for evaluating AI fairness | Patterns 5 | 2024 |
PlugVFL: Robust and IP-Protecting Vertical Federated Learning against Unexpected Quitting of Parties | 2024 IEEE International Conference on Big Data | 2024 |
pulse: Accelerating Distributed Pointer-Traversals on Disaggregated Memory | ASPLOS ’25 | 2025 |
QSERVE: W4A8KV4 QUANTIZATION AND SYSTEM CO-DESIGN FOR EFFICIENT LLM SERVING | 8th MLSys Conference | 2025 |
| ProtoDepth: Unsupervised Continual Depth Completion with Prototypes — Patrick Rim Hyoungseob Park S. Gangopadhyay Ziyao Zeng Younjoon Chung Alex Wong | 2025 | |
AugUndo: Scaling Up Augmentations for Monocular Depth Completion and Estimation | 2025 | |
RSA: Resolving Scale Ambiguities in Monocular Depth Estimators through Language Descriptions | NeurIPS24 | 2024 |
| All-day Depth Completion — A. Wong | 2025 | |
| Boosting Collaborative Vehicular Perception on the Edge with Vehicle-to-Vehicle Communication— Ruiyang Zhu | SenSys24 | 2024 |
| SEESys: Online Pose Error Estimation System for Visual SLAM-Gorlatova | SenSys24 | 2024 |
| Dataflow-Specific Algorithms for Resource Constrained Scheduling and Memory Design-Bhattacharjee | SPAA25 | 2025 |
| Phantora: Live GPU Cluster Simulation for Machine Learning-T. Chen | arXiv:2505.01616v1 [cs.DC] 2 May 2025 | 2025 |
| Disaggregated Deep Learning via In-Physics Computing at Radio Frequency — T. Chen | 2025 | |
| SurfOS:Towards an Operating System for Programmable radio environments-R. Ma | Hotnets24 | 2024 |
| SVDQUANT: ABSORBING OUTLIERS BY LOW-RANK COMPONENTS FOR 4-BIT DIFFUSION MODELS-Han | ICLR 2025 | 2025 |
| Vision-Language Dataset Distillation-Russakovsky | Published in Transactions on Machine Learning Research | 2024 |
| ViDDAR: Vision Language Model-Based Task-Detrimental Content Detection for Augmented Reality | IEEE | 2024 |
Augmented Reality-Based Contextual Guidance Through Surgical Tool Tracking in Neurosurgery-Gorlatova | IEEE | 2025 |
| On Data Fabrication in Collaborative Vehicular Perception: Attacks-Q. Zhang | 33rd USENIX Security Symposium | 2024 |
| Evaluating LLM-based Personal Information Extraction and Countermeasures — Neil Gong | USENIXSecurity25 | 2025 |
| Variational Adversarial Training Towards Policies with Improved Robustness-Pajic et al | 28th International Conference on Artificial Intelligence and Statistics (AISTATS) | 2025 |
| Weave: Efficient and Expressive Oblivious Analytics at Scale — Khandelwal | OSDI25 | 2025 |
| COCOSSim: A Cycle-Accurate Simulator for Heterogeneous Systolic Array Architectures-Wills. | 2025 IEEE International Symposium on Performance Analysis of Systems and Software (ISPASS) | 2025 |
POLYHEAD-VIT: EFFICIENT POSE ESTIMATION, GESTURE RECOGNITION, AND DEPTH ESTIMATION AT THE EDGE-Wills. | Under review by the Machine Learning and Systems (MLSys) Conference. | 2025 |
| Provably Robust Fe derate d Reinforcement Learning — Neil Gong et al | ACM CCS | 2025 |
| XAttention: Block Sparse Attention with Antidiagonal Scoring — Ruyi Xu et al | ICML25 | 2024 |
| Legato:Virtual Reality for Physical Rehabilitation of Patients in the Intensive Care unit | IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW) | 2025 |
2023
Chen, Tianen, Noah Anderson, and Younghyun Kim. "Latent Weight-based Pruning for Small Binary Neural Networks." In Proceedings of the 28th Asia and South Pacific Design Automation Conference, pp. 751-756. 2023.
Wu, Michael, Ketaki Joshi, Andrew Sheinberg, Guilherme Cox, Anurag Khandelwal, Raghavendra Pradyumna Pothukuchi, and Abhishek Bhattacharjee. "Prefetching Using Principles of Hippocampal-Neocortical Interaction." In Proceedings of the 19th Workshop on Hot Topics in Operating Systems, pp. 53-60. 2023.
Zeng, Yijing, Roberto Calvo-Palomino, Domenico Giustiniano, Gerome Bovet, and Suman Banerjee. "Adaptive uplink data compression in spectrum crowdsensing systems." IEEE/ACM Transactions on Networking (2023).
Zhang, Hong, Yupeng Tang, Anurag Khandelwal, and Ion Stoica. "{SHEPHERD}: Serving {DNNs} in the Wild." In 20th USENIX Symposium on Networked Systems Design and Implementation (NSDI 23), pp. 787-808. 2023.
Yu, Yanpeng, Seung-seob Lee, Anurag Khandelwal, and Lin Zhong. "GCS: Generalized Cache Coherence For Efficient Synchronization." arXiv preprint arXiv:2301.02576 (2023).
Petri, Richard, Grace Li Zhang, Yiran Chen, Ulf Schlichtmann, and Bing Li. "PowerPruning: Selecting Weights and Activations for Power-Efficient Neural Network Acceleration." arXiv preprint arXiv:2303.13997 (2023).
Wang, Zehao, Dan Kilper, and Tingjun Chen. "Transfer learning-based ROADM EDFA wavelength dependent gain prediction using minimized data collection." In Optical Fiber Communication Conference, pp. Th2A-1. Optica Publishing Group, 2023.
Akinrintoyo, Emmanuel, Zehao Wang, Bob Lantz, Tingjun Chen, and Dan Kilper. "Reconfigurable topology testbeds: A new approach to optical system experiments." Optical Fiber Technology 76 (2023): 103243.
Luo, Bing, Yutong Feng, Shiqiang Wang, Jianwei Huang, and Leandros Tassiulas. "Incentive Mechanism Design for Unbiased Federated Learning with Randomized Client Participation." arXiv preprint arXiv:2304.07981 (2023).
Chen, Ying, Hazer Inaltekin, and Maria Gorlatova. "AdaptSLAM: Edge-assisted adaptive SLAM with resource constraints via uncertainty minimization." arXiv preprint arXiv:2301.04620 (2023).
Scargill, Tim, Sangjun Eom, Ying Chen, and Maria Gorlatova. "Ambient Intelligence for Next-Generation AR." arXiv preprint arXiv:2303.12968 (2023).
Wang, Zehao, Dan Kilper, and Tingjun Chen. "Transfer learning-based ROADM EDFA wavelength dependent gain prediction using minimized data collection." In Optical Fiber Communication Conference, pp. Th2A-1. Optica Publishing Group, 2023.
Aloui, Ahmed, Ali Hasan, Yuting Ng, Miroslav Pajic, and Vahid Tarokh. "Individual Treatment Effects in Extreme Regimes." arXiv preprint arXiv:2306.11697 (2023).
Aloui, Ahmed, Juncheng Dong, Cat P. Le, and Vahid Tarokh. "Transfer learning for individual treatment effect estimation." In Uncertainty in Artificial Intelligence, pp. 56-66. PMLR, 2023.
Ma, Ruichun, R. Ivan Zelaya, and Wenjun Hu. "Softly, Deftly, Scrolls Unfurl Their Splendor: Rolling Flexible Surfaces for Wideband Wireless." arXiv preprint arXiv:2306.02361 (2023).
Yang, Yuchen, Bo Hui, Haolin Yuan, Neil Gong, and Yinzhi Cao. "{PrivateFL}: Accurate, differentially private federated learning via personalized data transformation." In 32nd USENIX Security Symposium (USENIX Security 23), pp. 1595-1612. 2023.
Zhang, Jinghuai, Jinyuan Jia, Hongbin Liu, and Neil Zhenqiang Gong. "PointCert: Point Cloud Classification with Deterministic Certified Robustness Guarantees." In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp. 9496-9505. 2023.
Cao, Xiaoyu, Jinyuan Jia, Zaixi Zhang, and Neil Zhenqiang Gong. "Fedrecover: Recovering from poisoning attacks in federated learning using historical information." In 2023 IEEE Symposium on Security and Privacy (SP), pp. 1366-1383. IEEE, 2023.
Cao, Yulong, S. Hrushikesh Bhupathiraju, Pirouz Naghavi, Takeshi Sugawara, Z. Morley Mao, and Sara Rampazzi. "You Can't See Me: Physical Removal Attacks on {LiDAR-based} Autonomous Vehicles Driving Frameworks." In 32nd USENIX Security Symposium (USENIX Security 23), pp. 2993-3010. 2023.
Akinrintoyo, Emmanuel, Zehao Wang, Bob Lantz, Tingjun Chen, and Dan Kilper. "Reconfigurable topology testbeds: A new approach to optical system experiments." Optical Fiber Technology 76 (2023): 103243.
Chen, Tianen, Noah Anderson, and Younghyun Kim. "Latent Weight-based Pruning for Small Binary Neural Networks." In Proceedings of the 28th Asia and South Pacific Design Automation Conference, pp. 751-756. 2023.
Hunt, David, Kristen Angell, Zhenzhou Qi, Tingjun Chen, and Miroslav Pajic. "MadRadar: A Black-Box Physical Layer Attack Framework on mmWave Automotive FMCW Radars." arXiv preprint arXiv:2311.16024 (2023).
Gao, Qitong, Ge Gao, Min Chi, and Miroslav Pajic. "Variational Latent Branching Model for Off-Policy Evaluation." arXiv preprint arXiv:2301.12056 (2023).
Aloui, Ahmed, Juncheng Dong, Cat P. Le, and Vahid Tarokh. "Transfer learning for individual treatment effect estimation." In Uncertainty in Artificial Intelligence, pp. 56-66. PMLR, 2023.
Zhang, Jingyang, Nathan Inkawhich, Randolph Linderman, Yiran Chen, and Hai Li. "Mixture outlier exposure: Towards out-of-distribution detection in fine-grained environments." In Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, pp. 5531-5540. 2023.
Linderman, Randolph, Jingyang Zhang, Nathan Inkawhich, Hai Li, and Yiran Chen. "Fine-grain inference on out-of-distribution data with hierarchical classification." In Conference on Lifelong Learning Agents, pp. 162-183. PMLR, 2023.
Yang, Yuchen, Bo Hui, Haolin Yuan, Neil Gong, and Yinzhi Cao. "{PrivateFL}: Accurate, differentially private federated learning via personalized data transformation." In 32nd USENIX Security Symposium (USENIX Security 23), pp. 1595-1612. 2023.
Zhang, Jinghuai, Jinyuan Jia, Hongbin Liu, and Neil Zhenqiang Gong. "PointCert: Point Cloud Classification with Deterministic Certified Robustness Guarantees." In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pp. 9496-9505. 2023.
Cao, Xiaoyu, Jinyuan Jia, Zaixi Zhang, and Neil Zhenqiang Gong. "Fedrecover: Recovering from poisoning attacks in federated learning using historical information." In 2023 IEEE Symposium on Security and Privacy (SP), pp. 1366-1383. IEEE, 2023.
Sun, Jingwei, Zhixu Du, Anna Dai, Saleh Baghersalimi, Alireza Amirshahi, David Atienza, and Yiran Chen. "Robust and IP-Protecting Vertical Federated Learning against Unexpected Quitting of Parties." arXiv preprint arXiv:2303.18178 (2023).
Dai, Shenghong, SM Iftekharul Alam, Ravikumar Balakrishnan, Kangwook Lee, Suman Banerjee, and Nageen Himayat. "Online Federated Learning based Object Detection across Autonomous Vehicles in a Virtual World." In 2023 IEEE 20th Consumer Communications & Networking Conference (CCNC), pp. 919-920. IEEE, 2023.
Hallyburton, Robert Spencer, Shucheng Zhang, and Miroslav Pajic. "AVstack: An Open-Source, Reconfigurable Platform for Autonomous Vehicle Development." In Proceedings of the ACM/IEEE 14th International Conference on Cyber-Physical Systems (with CPS-IoT Week 2023), pp. 209-220. 2023.
Gao, Qitong, Stephen L. Schmidt, Afsana Chowdhury, Guangyu Feng, Jennifer J. Peters, Katherine Genty, Warren M. Grill, Dennis A. Turner, and Miroslav Pajic. "Offline Learning of Closed-Loop Deep Brain Stimulation Controllers for Parkinson Disease Treatment." In Proceedings of the ACM/IEEE 14th International Conference on Cyber-Physical Systems (with CPS-IoT Week 2023), pp. 44-55. 2023.
Sangar, Yaman, Yoganand Biradavolu, Kai Pederson, Vaishnavi Ranganathan, and Bhuvana Krishnaswamy. "PACT: Scalable, Long-Range Communication for Monitoring and Tracking Systems Using Battery-less Tags." Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 6, no. 4 (2023): 1-27.
Mishra, Manan, Daniel Koch, Muhammad Osama Shahid, Bhuvana Krishnaswamy, Krishna Chintalapudi, and Suman Banerjee. "{OpenLoRa}: Validating {LoRa} Implementations through an Extensible and Open-sourced Framework." In 20th USENIX Symposium on Networked Systems Design and Implementation (NSDI 23), pp. 1165-1183. 2023.
Meister, Nicole, Dora Zhao, Angelina Wang, Vikram V. Ramaswamy, Ruth Fong, and Olga Russakovsky. "Gender artifacts in visual datasets." In Proceedings of the IEEE/CVF International Conference on Computer Vision, pp. 4837-4848. 2023.
Wang, Angelina, and Olga Russakovsky. "Overcoming Bias in Pretrained Models by Manipulating the Finetuning Dataset." arXiv preprint arXiv:2303.06167 (2023).
Ramaswamy, Vikram V., Sunnie SY Kim, Ruth Fong, and Olga Russakovsky. "UFO: A unified method for controlling Understandability and Faithfulness Objectives in concept-based explanations for CNNs." arXiv preprint arXiv:2303.15632 (2023).
2022
Centers, Jessica, and Jeffrey Krolik. "Vibrational radar backscatter communication using resonant transponding surfaces." In 2022 IEEE 12th Sensor Array and Multichannel Signal Processing Workshop (SAM), pp. 71-75. IEEE, 2022.
Feng, Aosong, and Leandros Tassiulas. "Adaptive Graph Spatial-Temporal Transformer Network for Traffic Forecasting." In Proceedings of the 31st ACM International Conference on Information & Knowledge Management, pp. 3933-3937. 2022.
Guo, Peizhen, Bo Hu, and Wenjun Hu. "Sommelier: Curating DNN Models for the Masses." In Proceedings of the 2022 International Conference on Management of Data, pp. 1876-1890. 2022.
Hu, Bo, Peizhen Guo, and Wenjun Hu. "Video-zilla: An Indexing Layer for Large-Scale Video Analytics." In Proceedings of the 2022 International Conference on Management of Data, pp. 1905-1919. 2022.
Lin, Ji, Ligeng Zhu, Wei-Ming Chen, Wei-Chen Wang, Chuang Gan, and Song Han. "On-device training under 256kb memory." Advances in Neural Information Processing Systems 35 (2022): 22941-22954.
Tuncel, Yigit, Anish Krishnakumar, Aishwarya Lekshmi Chithra, Younghyun Kim, and Umit Ogras. "A Domain-Specific System-On-Chip Design for Energy Efficient Wearable Edge AI Applications." In Proceedings of the ACM/IEEE International Symposium on Low Power Electronics and Design, pp. 1-6. 2022.
Feng, Aosong, and Leandros Tassiulas. "Adaptive Graph Spatial-Temporal Transformer Network for Traffic Forecasting." In Proceedings of the 31st ACM International Conference on Information & Knowledge Management, pp. 3933-3937. 2022.
Cao, Xiaoyu, Zaixi Zhang, Jinyuan Jia, and Neil Zhenqiang Gong. "Flcert: Provably secure federated learning against poisoning attacks." IEEE Transactions on Information Forensics and Security 17 (2022): 3691-3705.
Tabor, Joshua, Shenghong Dai, Varun Sreenivasan, and Suman Banerjee. "μCity: a miniatured autonomous vehicle testbed." In Proceedings of the 17th ACM Workshop on Mobility in the Evolving Internet Architecture, pp. 25-30. 2022.
Malloy, Matthew L., Lance Hartung, Steve Wangen, and Suman Banerjee. "Network-side digital contact tracing on a large university campus." In Proceedings of the 28th Annual International Conference on Mobile Computing And Networking, pp. 367-380. 2022.
Gao, Ge, Qitong Gao, Xi Yang, Miroslav Pajic, and Min Chi. "A reinforcement learning-informed pattern mining framework for multivariate time series classification." In In the Proceeding of 31th International Joint Conference on Artificial Intelligence (IJCAI-22). 2022.
Yuan, Haolin, Bo Hui, Yuchen Yang, Philippe Burlina, Neil Zhenqiang Gong, and Yinzhi Cao. "Addressing heterogeneity in federated learning via distributional transformation." In European Conference on Computer Vision, pp. 179-195. Cham: Springer Nature Switzerland, 2022.
Hallyburton, R. Spencer, Yupei Liu, Yulong Cao, Z. Morley Mao, and Miroslav Pajic. "Security Analysis of {Camera-LiDAR} Fusion Against {Black-Box} Attacks on Autonomous Vehicles." In 31st USENIX Security Symposium (USENIX Security 22), pp. 1903-1920. 2022.
Khazraei, Amir, Spencer Hallyburton, Qitong Gao, Yu Wang, and Miroslav Pajic. "Learning-based vulnerability analysis of cyber-physical systems." In 2022 ACM/IEEE 13th International Conference on Cyber-Physical Systems (ICCPS), pp. 259-269. IEEE, 2022.
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Tuncel, Yigit, Anish Krishnakumar, Aishwarya Lekshmi Chithra, Younghyun Kim, and Umit Ogras. "A Domain-Specific System-On-Chip Design for Energy Efficient Wearable Edge AI Applications." In Proceedings of the ACM/IEEE International Symposium on Low Power Electronics and Design, pp. 1-6. 2022.
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Deng, Zhiwei, and Olga Russakovsky. "Remember the past: Distilling datasets into addressable memories for neural networks." Advances in Neural Information Processing Systems 35 (2022): 34391-34404.
Hassan, Ahmad, Arvind Narayanan, Anlan Zhang, Wei Ye, Ruiyang Zhu, Shuowei Jin, Jason Carpenter, Z. Morley Mao, Feng Qian, and Zhi-Li Zhang. "Vivisecting mobility management in 5G cellular networks." In Proceedings of the ACM SIGCOMM 2022 Conference, pp. 86-100. 2022.
Sun, Jiachen, Akshay Mehra, Bhavya Kailkhura, Pin-Yu Chen, Dan Hendrycks, Jihun Hamm, and Z. Morley Mao. "A Spectral View of Randomized Smoothing Under Common Corruptions: Benchmarking and Improving Certified Robustness." In European Conference on Computer Vision, pp. 654-671. Cham: Springer Nature Switzerland, 2022.
Koch, Daniel Jay, Muhammad Osama Shahid, and Bhuvana Krishnaswamy. "Spreading Factor Detection for Low-Cost Adaptive Data Rate in LoRaWAN Gateways." In Proceedings of the 20th ACM Conference on Embedded Networked Sensor Systems, pp. 918-924. 2022.
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2021
Gao, Qitong, Dong Wang, Joshua D. Amason, Siyang Yuan, Chenyang Tao, Ricardo Henao, Majda Hadziahmetovic, Lawrence Carin, and Miroslav Pajic. "Gradient importance learning for incomplete observations." arXiv preprint arXiv:2107.01983 (2021).
Centers, Jessica, and Jeffrey Krolik. "Vibrational radar backscatter communications." In 2021 55th Asilomar Conference on Signals, Systems, and Computers, pp. 1086-1090. IEEE, 2021.
Centers, Jessica, and Jeffrey Krolik. "Vibrational radar backscatter communications." In 2021 55th Asilomar Conference on Signals, Systems, and Computers, pp. 1086-1090. IEEE, 2021.
Guo, Peizhen, Bo Hu, and Wenjun Hu. "Mistify: Automating {DNN} Model Porting for {On-Device} Inference at the Edge." In 18th USENIX Symposium on Networked Systems Design and Implementation (NSDI 21), pp. 705-719. 2021.
