Publications

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).

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.

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.

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.

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.

Khazraei, Amir, and Miroslav Pajic. "Resiliency of nonlinear control systems to stealthy sensor attacks." In 2022 IEEE 61st Conference on Decision and Control (CDC), pp. 7109-7114. IEEE, 2022.

Khazraei, Amir, Henry Pfister, and Miroslav Pajic. "Resiliency of perception-based controllers against attacks." In Learning for Dynamics and Control Conference, pp. 713-725. PMLR, 2022.

Hallyburton, R. Spencer, Amir Khazraei, and Miroslav Pajic. "Optimal myopic attacks on nonlinear estimation." In 2022 IEEE 61st Conference on Decision and Control (CDC), pp. 5480-5485. IEEE, 2022.

Wang, Angelina, Vikram V. Ramaswamy, and Olga Russakovsky. "Towards intersectionality in machine learning: Including more identities, handling underrepresentation, and performing evaluation." In Proceedings of the 2022 ACM Conference on Fairness, Accountability, and Transparency, pp. 336-349. 2022.

Chung, Jihoon, Yu Wu, and Olga Russakovsky. "Enabling Detailed Action Recognition Evaluation Through Video Dataset Augmentation." Advances in Neural Information Processing Systems 35 (2022): 39020-39033.

Ramaswamy, Vikram V., Sunnie SY Kim, Ruth Fong, and Olga Russakovsky. "Overlooked factors in concept-based explanations: Dataset choice, concept salience, and human capability." arXiv preprint arXiv:2207.09615 (2022).

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.

Feng, Aosong, and Leandros Tassiulas. "Adaptive graph Spatial-Temporal transformer network for traffic flow forecasting." arXiv preprint arXiv:2207.05064 (2022).

Wang, Yu, Qitong Gao, and Miroslav Pajic. "Learning Monotone Dynamics by Neural Networks." In 2022 American Control Conference (ACC), pp. 1485-1490. IEEE, 2022.

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.

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.

Publications

Participating Universities