Publications

August 2022 - August 2023

Arpandeep Khatua, Vikram Sharma Mailthody, Bhagyashree Taleka, Tengfei Ma, Xiang Song, and Wen-mei Hwu. 2023. IGB: Addressing the Gaps in Labeling, Features, Heterogeneity, and Size of Public Graph Datasets for Deep Learning Research. In Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD '23). Association for Computing Machinery, New York, NY, USA, 4284–4295. https://doi.org/10.1145/3580305.3599843	Jinghan Huang, Jiaqi Lou, Yan Sun, Tianchen Wang, Eun Kyung Lee, Nam Sung Kim. Analyzing energy Efficiency of a server with a SmartNIC under SLO Constraints. IEEE International Symposium on Performance Analysis of Systems and Software (ISPASS), April 2023. https://doi.org/10.1109/ISPASS57527.2023.00044
Xinhao Kong, Jiaqi Lou, Wei Bai, Nam Sung Kim, Danyang Zhuo. Towards a manageable intra-host network. Workshop on Hot Topics in Operating Systems (HotOS), June 2023. https://doi.org/10.1145/3593856	Haoran Qiu, Weichao Mao, Chen Wang, Hubertus Franke, Alaa Youssef, Zbigniew T. Kalbarczyk, Tamer Başar, Ravishankar K. Iyer (2023). AWARE: Automate Workload Autoscaling with Reinforcement Learning in Production Cloud Systems. In Proceedings of the 2023 USENIX Annual Technical Conference (ATC 2023). https://www.usenix.org/conference/atc23/presentation/qiu-haoran
Kindratenko project: Liu, T. et al. (2023). Cloud-Bursting and Autoscaling for Python-Native Scientific Workflows Using Ray. In: Bienz, A., Weiland, M., Baboulin, M., Kruse, C. (eds) High Performance Computing. ISC High Performance 2023. Lecture Notes in Computer Science, vol 13999. Springer, Cham. https://doi.org/10.1007/978-3-031-40843-4_16	Yuqi Xue, Yiqi Liu, Lifeng Nai, and Jian Huang. 2023. V10: Hardware-Assisted NPU Multi-tenancy for Improved Resource Utilization and Fairness. In Proceedings of the 50^th Annual International Symposium on Computer Architecture (ISCA ’23), June 17–21, 2023, Orlando, FL, USA. ACM, New York, NY, USA, 15 pages. https://doi.org/10.1145/3579371.3589059
Yuqi Xue, Yiqi Liu, Lifeng Nai, and Jian Huang. 2023. V10: Hardware-Assisted NPU Multi-tenancy for Improved Resource Utilization and Fairness. In Proceedings of the 50^th Annual International Symposium on Computer Architecture (ISCA ’23), June 17–21, 2023, Orlando, FL, USA. ACM, New York, NY, USA, 15 pages. https://doi.org/10.1145/3579371.3589059	W. Ren, W. Kozlowski, S. Koteshwara, M. Ye, H. Franke and D. Chen, "AccShield: a New Trusted Execution Environment with Machine-Learning Accelerators," 2023 60^th ACM/IEEE Design Automation Conference (DAC), San Francisco, CA, USA, 2023, pp. 1-6. https://doi.org/10.1109/DAC56929.2023.10247768
Shin, J., Arroyo, D., Tantawi, A., Wang, C., Youssef, A., and Nagi, R. "Cloud-native Workflow Scheduling using a Hybrid Priority Rule and Dynamic Task Parallelism," ACM Symposium on Cloud Computing (SoCC'22), November 2022, San Francisco, CA. https://doi.org/10.1145/3542929.3563495	Jaron Mink, Hadjer Benkraouda, Limin Yang, Arridhana Ciptadi, Ali Ahmadzadeh, Daniel Votipka, Gang Wang. Everybody’s Got ML, Tell Me What Else You Have: Practitioners' Perception of ML-Based Security Tools and Explanations. In The 44th IEEE Symposium on Security and Privacy, San Francisco, CA, May 2023. [IEEE SP 2023 a] https://doi.org/10.1109/SP46215.2023.10179321
Limin Yang, Zhi Chen, Jacopo Cortellazzi, Feargus Pendlebury, Kevin Tu, Fabio Pierazzi, Lorenzo Cavallaro, Gang Wang. Jigsaw Puzzle: Selective Backdoor Attack to Subvert Malware Classifiers. In The 44th IEEE Symposiubm on Security and Privacy, San Francisco, CA, May 2023. [IEEE SP 2023 b] https://doi.org/10.1109/SP46215.2023.10179347	Zhi Chen, Zhenning Zhang, Zeliang Kan, Limin Yang, Jacopo Cortellazzi, Feargus Pendlebury, Fabio Pierazzi, Lorenzo Cavallaro, Gang Wang. Is It Overkill? Analyzing Feature-Space Concept Drift in Malware Detectors. In Deep Learning Security and Privacy Workshop (DLSP), San Francisco, CA, May 2023. [DLSP 2023] https://doi.org/10.1109/SPW59333.2023.00007
WISE: Predicting the Performance of Sparse Matrix Vector Multiplication with Machine Learning, by Serif Yesil, Azin Heidarshenas, Adam Morrison, Josep Torrellas, In Symposium on Principles and Practice of Parallel Programming (PPoPP), February 2023. https://doi.org/10.1145/3572848.3577506	SPADE: A Flexible and Scalable Accelerator for SpMM and SDDMM, by Gerasimos Gerogiannis, Serif Yesil, Damitha Lenadora, Dingyuan Cao, Charith Mendis, Josep Torrellas, In International Symposium on Computer Architecture (ISCA), June 2023. https://doi.org/10.1145/3579371.3589054
SpecFaaS: Accelerating Serverless Applications with Speculative Function Execution, by Jovan Stojkovic, Tianyin Xu, Hubertus Franke, Josep Torrellas. In International Symposium on High Performance Computer Architecture (HPCA), February 2023. https://doi.org/10.1109/HPCA56546.2023.10071120	MXFaaS: Resource Sharing in Serverless Environments for Parallelism and Efficiency, by Jovan Stojkovic, Tianyin Xu, Hubertus Franke, Josep Torrellas, in International Symposium on Computer Architecture (ISCA), June 2023. https://doi.org/10.1145/3579371.3589069
R. Krishna et al., "Signal and Power Integrity Design and Analysis for Bunch-of-Wires (BoW) Interface for Chiplet Integration on Advanced Packaging," 2023 IEEE 73rd Electronic Components and Technology Conference (ECTC), Orlando, FL, USA, 2023, pp. 1004-1011. https://doi.org/10.1109/ECTC51909.2023.00171	Sirui Xu, Yu-Xiong Wang, Liangyan Gui. Stochastic Multi-Person 3D Motion Forecasting. In International Conference on Learning Representations, 2023. (Notable-Top-25%) https://doi.org/10.48550/arXiv.2306.05421
Courtney McBeth, James Motes, Diane Uwacu, Marco Morales, Nancy M. Amato ``Scalable Multi-robot Motion Planning for Congested Environments With Topological Guidance'', in IEEE Robotics and Automation Letters RA-L, vol.8, no.11, pp TBD, 2022, doi: 10.1109/LRA.2023.3312980, submitted 25 May 2023, accepted 17 August 2023, published 7 September 2023. https://doi.org/10.1109/LRA.2023.3312980	Shengcao Cao, Dhiraj Joshi, Liangyan Gui, Yu-Xiong Wang. Contrastive Mean Teacher for Domain Adaptive Object Detectors. In IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023. https://doi.org/10.1109/CVPR52729.2023.02283
Yunze Man, Liangyan Gui, Yu-Xiong Wang. BEV-Guided Multi-Modality Fusion for Driving Perception. In IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023. https://doi.org/10.1109/CVPR52729.2023.02103	Jun-Kun Chen, Jipeng Lyu, Yu-Xiong Wang. NeuralEditor: Editing Neural Radiance Fields via Manipulating Point Clouds. In IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023. https://doi.org/10.1109/CVPR52729.2023.01197
Mingtong Zhang, Shuhong Zheng, Zhipeng Bao, Martial Hebert, Yu-Xiong Wang. Beyond RGB: Scene-Property Synthesis with Neural Radiance Fields. In IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2023. https://doi.org/10.1109/WACV56688.2023.00086	Kuan-Ying Lee, Yuanyi Zhong, Yu-Xiong Wang. Do Pre-Trained Models Benefit Equally in Continual Learning? In IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2023. https://doi.org/10.1109/WACV56688.2023.00642
Diane Uwacu, Ananya Yammanuru, Marco Morales, Nancy M. Amato ``Hierarchical Planning with Annotated Skeleton Guidance'', in IEEE Robotics and Automation Letters RA-L, vol.7, no.4, pp. 11055-11061, 2022, doi: 10.1109/LRA.2022.3196885, submitted Feb 24, 2022, accepted July 14, 2022, published August 2022. https://doi.org/10.1109/LRA.2022.3196885	Kai Yan, Alexander G. Schwing, Yu-Xiong Wang. CEIP: Combining Explicit and Implicit Priors for Reinforcement Learning with Demonstrations. In Conference on Neural Information Processing Systems (NeurIPS), 2022. https://doi.org/10.48550/arXiv.2210.09496l
Jun-Kun Chen, Yu-Xiong Wang. PointTree: Transformation Robust Point Cloud Encoder with Relaxed K-D Trees. In European Conference on Computer Vision (ECCV), 2022. https://doi.org/10.1007/978-3-031-20062-5_7	Sirui Xu, Yu-Xiong Wang, Liangyan Gui. Diverse Human Motion Prediction Guided by Multi-Level Spatial Temporal Anchors. In European Conference on Computer Vision (ECCV), 2022. https://doi.org/10.1007/978-3-031-20047-2_15
Amnon Attali, Stav Ashur, Isaac Burton Love, Courtney McBeth, James Motes, Diane Uwacu, Marco Morales, Nancy M. Amato, ``Evaluating Guiding Space for Motion Planning'', IROS 2022 Workshop on Evaluating Motion Planner Performance: Metrics, Tools, Datasets, and Experimental Design, October 23, 2022. https://doi.org/10.48550/arXiv.2210.08640	Yu Zhang, Yunyi Zhang, Yucheng Jiang, Martin Michalski, Yu Deng, Lucian Popa, ChengXiang Zhai, Jiawei Han, "Entity Set Co-Expansion in StackOverflow", in Proc. of 2022 Int. Workshop on Knowledge Discovery and Data Mining in IT Operations (BigData-IT-2022), co-located with 2022 IEEE Int. Conf. on Big Data (IEEE BigData 2022), Osaka, Japan, Dec. 2022. https://doi.org/10.1109/BigData55660.2022.10020770
Pritom Saha Akash, Jie Huang, Kevin Chen-Chuan Chang, Yunyao Li, Lucian Popa, ChengXiang Zhai, Domain Representative Keywords Selection: A Probabilistic Approach. ACL (Findings) 2022: 679-692. https://doi.org/10.48550/arXiv.2203.10365	Bhavya Bhavya, Jinjun Xiong, and Chengxiang Zhai. “CAM: A Large Language Model- based Creative Analogy Mining Framework”, In Proceedings of the ACM Web Conference, 2023. https://doi.org/10.1145/3543507.3587431
Bowen Jin, Yu Zhang, Qi Zhu, Jiawei Han, “Heterformer: Transformer-based Deep Node Representation Learning on Heterogeneous Text-Rich Networks”, in Proc. 2023 ACM SIGKDD Int. Conf. on Knowledge Discovery and Data Mining (KDD’23), Long Beach, CA, August 2023. https://doi.org/10.1145/3580305.3599376	Bowen Jin, Wentao Zhang, Yu Zhang, Yu Meng, Xinyang Zhang, Qi Zhu and Jiawei Han, “Patton: Language Model Pretraining on Text-Rich Networks”, in Proc. 2023 Annual Meeting of the Association for Computational Linguistics (ACL’23), Toronto, Canada July 2023. https://doi.org/10.48550/arXiv.2305.12268
Bowen Jin, Yu Zhang, Yu Meng, Jiawei Han, “Edgeformers: Graph-Empowered Transformers for Representation Learning on Textual-Edge Networks”, in Proc. Int. Conf. on Learning Representations (ICLR’23), Kigali Rwanda, May 2023. https://doi.org/10.48550/arXiv.2302.11050	Yu Zhang, Yunyi Zhang, Martin Michalski, Yucheng Jiang, Yu Meng, and Jiawei Han, “Effective Seed-Guided Topic Discovery by Integrating Multiple Types of Contexts”, in Proc. 2023 ACM Int. Conf. on Web Search and Data Mining (WSDM’23), Singapore, Feb. 2023. https://doi.org/10.1145/3539597.3570475
R. Baltaji and P. Thakkar, “Probing Numeracy and Logic of Language Models of Code,” in 1st International Workshop on Interpretability and Robustness in Neural Software Engineering (InteNSE’23), Melbourne, Australia, 14 May 2023. https://doi.org/10.1109/InteNSE59150.2023.00006	Deepti Kalasapura, Jinyang Li, Shengzhong Liu, Yizhuo Chen, Ruijie Wang, Tarek Abdelzaher, Matthew Caesar, Joydeep Bhattacharyya, Jae Kim, Guijun Wang, Greg Kimberly, Josh Eckhardt, Denis Osipychev, “TwinSync: A Digital Twin Synchronization Protocol for Bandwidth-limited IoT Applications,” In Proc. 32nd International Conference on Computer Communications and Networks (ICCCN), Honolulu, HI, July 2023. https://doi.org/10.1109/ICCCN58024.2023.10230154
Tarek Abdelzaher, Matthew Caesar, Charith Mendis, Klara Nahrstedt, Mani Srivastava and Minlan Yu, “Challenges in Metaverse Research: An Internet of Things Perspective,” In Proc. 1st IEEE International Conference on Metaverse Computing, Networking and Applications (MetaCom), Kyoto, Japan, June 2023. https://doi.org/10.1109/MetaCom57706.2023.00042	Tarek Abdelzaher, Kunal Agrawal, Sanjoy Baruah, Alan Burns, Robert I. Davis, Zhishan Guo, Yigong Hu, “Scheduling IDK Classifiers with Arbitrary Dependences to Minimize the Expected Time to Successful Classification,” Journal of Real-time Systems, March 2023. https://doi.org/10.1007/s11241-023-09395-0
Tianshi Wang, Denizhan Kara, Jinyang Li, Shengzhong Liu, Tarek Abdelzaher, Brian Jalaian, The “Methodological Pitfall of Dataset-Driven Research on Deep Learning: An IoT Example,” In Proc. Military Communications Conference (MILCOM), IoT-AE Workshop, Rockville, MD, December 2022. https://doi.org/10.1109/MILCOM55135.2022.10017612	Yigong Hu, Ila Gokarn, Shengzhong Liu, Archan Misra, Tarek Abdelzaher, “Underprovisioned GPUs: On Sufficient Capacity for Real-Time Mission-Critical Perception,” In Proc. 32nd International Conference on Computer Communications and Networks (ICCCN), Honolulu, HI, July 2023. https://doi.org/10.1109/ICCCN58024.2023.10230127
Shengzhong Liu, Xinzhe Fu, Yigong Hu, Maggie Wigness, Philip David, Shuochao Yao, Lui Sha, and Tarek Abdelzaher, “Generalized Self-Cueing Real-Time Attention Scheduling with Intermittent Inspection and Image Resizing,” Journal of Real-time Systems, June 2023. https://doi.org/10.1007/s11241-023-09396-z	Mudhakar Srivatsa, Tarek Abdelzaher, Ting He, “Artificial Intelligence for Edge Computing,” Springer 2023. https://bit.ly/3BQnXpi
Adel Ejjeh, Aaron Councilman, Akash Kothari, Maria Kotsifakou, Leon Medvinsky, Abdul Rafae Noor, Hashim Sharif, Yifan Zhao, Sarita Adve, Sasa Misailovic, Vikram Adve, “HPVM: Hardware-Agnostic Programming for Heterogeneous Parallel Systems,” IEEE Micro, Vol. 42, No. 5, Sept-Oct. 2022. https://doi.org/10.1109/MM.2022.3186547	Hashim Sharif, Yifan Zhao, Peter Pao-Huang, Vatsin Shah, Arun Sivakumar, Mateus Valverde, Mohd. Abdulrahman, Nathan Zhao, Keyur Joshi, Sarita Adve, Girish Chowdhary, Sasa Misailovic, Vikram Adve, “ApproxCaliper: A Programmable Framework for Application-aware Neural Network Optimization,” Sixth Conference on Machine Learning and Systems (MLSys’23), Miami Beach, USA, June 2023. https://bit.ly/4065O0w
Choraria M, D Szwarcman, B Zadrozny, C Watson, and LR. Varshney. Controllable Generation for Climate Modeling. Neural Information Processing Systems (NeurIPS 2022) Workshop, Virtual, Dec 2-9, 2022. https://s3.us-east-1.amazonaws.com/climate-change-ai/papers/neurips2022/61/paper.pdf	Yu Zhang, Yunyi Zhang, Yucheng Jiang, Martin Michalski, Yu Deng, Lucian Popa, ChengXiang Zhai, Jiawei Han. Entity Set Co-Expansion in StackOverflow. IEEE Big Data 2022: 4792-4795. https://doi.org/10.1109/BigData55660.2022.10020770
Jinfeng Xiao, Mohab Elkaref, Nathan Herr, Geeth De Mel, and Jiawei Han, "Taxonomy-Guided Fine-Grained Entity Set Expansion", in Proc. 2023 SIAM Conf. on Data Mining (SDM'23), Minneapolis, MN, Apr. 2023. https://doi.org/10.1137/1.9781611977653.ch71	D. Wang, Y. Yan, R. Qiu, Y. Zhu, K. Guan, A. Margenot, H. Tong. Networked Time Series Imputation via Position-aware Graph Enhanced Variational Autoencoders. KDD 2023. https://doi.org/10.1145/3580305.3599444
L. Zheng, Y. Zhu, J. He. Fairness-aware Multi-view Clustering. SDM 2023. https://doi.org/10.1137/1.9781611977653.ch96	Basu S, M. Choraria, and L. R. Varshney. Transformers are Universal Predictors. Neural Compression Workshop (ICML 2023), Honolulu, Hawaii, 29 July 2023. https://doi.org/10.48550/arXiv.2307.07843
Choraria M, I. Ferwana, A. Mani, and L. R. Varshney. Learning Optimal Features via Partial Invariance. The 37th AAAI Conference on Artificial Intelligence, Washington, DC, 7-14 February 2023. https://doi.org/10.1609/aaai.v37i6.25875

Published After August 2023

[Best Paper Runner-up Award] Jinghan Huang, Jiaqi Lou, Yan Sun, Tianchen Wang, Eun Kyung Lee, and Nam Sung Kim. Making sense of using a SmartNIC to reduce datacenter tax from SLO and TCO perspectives. IEEE International Symposium on Workload Characterization (IISWC), October 2023. https://doi.org/10.1109/IISWC59245.2023.00025	Weichao Mao, Haoran Qiu, Chen Wang, Hubertus Franke, Zbigniew T. Kalbarczyk, Ravishankar K. Iyer, Tamer Başar (2023). Multi-Agent Meta-Reinforcement Learning: Sharper Convergence Rates with Task Similarity. In Proceedings of the 37th Conference on Neural Information Processing Systems (NeurIPS 2023). https://proceedings.neurips.cc/paper_files/paper/2023
Acto: Automatic End-to-End Testing for Operation Correctness of Cloud System Management, Jiawei Tyler Gu, Xudong Sun, Wentao Zhang, Yuxuan Jiang, Chen Wang, Mandana Vaziri, Owolabi Legunsen, and Tianyin Xu, In Proceedings of the 29th ACM Symposium on Operating Systems Principles (SOSP'23), Koblenz, Germany, Oct. 2023. https://doi.org/10.1145/3600006.3613161	RackBlox: A Software-Defined Rack-Scale Storage System with Network-Storage Co-Design. Benjamin Reidys, Yuqi Xue, Daixuan Li, Bharat Sukhwani, Wen-mei Hwu, Deming Chen, Sameh Asaad, Jian Huang. To appear in the Proceedings of the 29th ACM Symposium on Operating Systems Principles (SOSP'23), 2023. https://doi.org/10.1145/3600006.3613170
Shengcao Cao, Mengtian Li, James Hays, Deva Ramanan, Yu-Xiong Wang, Liangyan Gui. Learning Lightweight Object Detectors via Progressive Knowledge Distillation. In International Conference on Machine Learning (ICML), 2023. https://doi.org/10.48550/arXiv.2308.09105	Yunze Man, Liangyan Gui, Yu-Xiong Wang. DualCross: Cross-Modality Cross-Domain Adaptation for Monocular BEV Perception. In IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2023. https://doi.org/10.1109/IROS55552.2023.10341473
Ziqi Pang, Deva Ramanan, Mengtian Li, Yu-Xiong Wang. Streaming Motion Forecasting for Autonomous Driving. In IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2023. https://doi.org/10.1109/IROS55552.2023.10341894	Shengcao Cao, Dhiraj Joshi, Liangyan Gui, Yu-Xiong Wang. HASSOD: Hierarchical Adaptive Self-Supervised Object Detection. In Conference on Neural Information Processing Systems (NeurIPS), 2023. https://doi.org/10.48550/arXiv.2402.03311
Jiahua Dong, Yu-Xiong Wang. ViCA-NeRF: View-Consistency-Aware 3D Editing of Neural Radiance Fields. In Conference on Neural Information Processing Systems (NeurIPS), 2023. https://doi.org/10.48550/arXiv.2402.00864]	Kai Yan, Alexander G. Schwing, Yu-Xiong Wang. A Simple Solution for Offline Imitation from Observations and Examples with Possibly Incomplete Trajectories. In Conference on Neural Information Processing Systems (NeurIPS), 2023. https://doi.org/10.48550/arXiv.2311.01329
Courtney McBeth, James Motes, Marco Morales, and Nancy M. Amato, ``Hypergraph-based Multi-robot Motion Planning with Topological Guidance'', IROS 2023 Workshop on Enabling Robot Swarms Across Scales, October 5, 2023. https://doi.org/10.48550/arXiv.2311.10176	James Motes, Tan Chen, Timothy Bretl, Marco Morales, Nancy M. Amato ``Hypergraph-Based Multi-Robot Task and Motion Planning'', in IEEE Transactions on Robotics (T-RO), vol. 31, no. 5, pp. 4166--4186, doi: 10.1109/TRO.2023.3297011, submitted April 13, 2023, accepted June 13 2023, Published Oct 4 2023. https://doi.org/10.1109/TRO.2023.3297011
Bhavya Bhavya, Paulina Toro Isaza, Yu Deng, Michael Nidd, Amar Prakash Azad, Larisa Shwartz, ChengXiang Zhai, Exploring Large Language Models for Low-Resource IT Information Extraction, Proceedings of the 23rd IEEE International Conference on Data Mining (AIOps Workshop), 2023. https://doi.org/10.1109/ICDMW60847.2023.00157	P. Pauli, A. Havens, A. Araujo, S. Garg, F. Khorrami, F. Allgöwer, and B. Hu. Novel quadratic constraints for extending LipSDP beyond slope-restricted activations. The International Conference on Learning Representations (ICLR), 2024. https://doi.org/10.48550/arXiv.2401.14033
X. Guo, D. Keivan, G. Dullerud, P. Seiler, and B. Hu. Complexity of derivative-free policy optimization for structured H∞ control. Conference on Neural Information Processing Systems (NeurIPS), 2023. https://bit.ly/4h9Akgk	Havens, A. Araujo, S. Garg, F. Khorrami, and B. Hu. Exploiting connections between Lipschitz structures for certifiably robust deep equilibrium models. Conference on Neural Information Processing Systems (NeurIPS), 2023. https://bit.ly/3Yry1xN
X. Wu and L. R. Varshney, “Transformer-based Causal Language Models from a Meta-Learning Perspective,” NeurIPS Workshop on Attributing Model Behavior at Scale, New Orleans, Louisiana, 15 December 2023. https://doi.org/10.48550/arXiv.2310.05884	Haofeng Sun, Bobi Shi, José E. Schut-Ainé, "Modeling and Analysis of Heterogeneous Integrated Chiplet-to-Chiplet Communication Link in 2.5D Advanced Packaging", accepted for presentation at ECTC 2024, May 2024.
Tianshi Wang, Jinyang Li, Ruijie Wang, Denizhan Kara, Shengzhong Liu, Davis Wertheimer, Antoni Martin, Raghu Ganti, Mudhakar Srivatsa, and Tarek Abdelzaher, “SudokuSens: Enhancing Deep Learning Robustness for IoT Sensing Applications using a Generative Approach,” In Proc. ACM Sensys, Istanbul, Turkey, November 2023. https://dl.acm.org/doi/proceedings/10.1145/3625687	Shengzhong Liu, Tomoyoshi Kimura, Dongxin Liu, Ruijie Wang, Jinyang Li, Suhas Diggavi, Mani Srivastava, and Tarek Abdelzaher. “FOCAL: Contrastive learning for multimodal time-series sensing signals in factorized orthogonal latent space,” Advances in Neural Information Processing Systems 36 (2024). https://bit.ly/4dOewUo
Hongpeng Guo, Haotian Gu, Xiaoyang Wang, Bo Chen, Eun Kyung Lee, Tamar Eilam, Deming Chen, Klara Nahrstedt, FedCore: Straggler-Free Federated Learning with Distributed Coresets. IEEE Communication Conference (ICC 2024). https://doi.org/10.48550/arXiv.2402.00219	Yu Zhang, Yunyi Zhang, Yanzhen Shen, Yu Deng, Lucian Popa, Larisa Shwartz, ChengXiang Zhai, Jiawei Han. Seed-Guided Fine-Grained Entity Typing in Science and Engineering Domains, Proceedings of the AAAI Conference on Artificial Intelligence 2024, Vol. 38, No. 17, AAAI-24 Technical Tracks 17. https://doi.org/10.1609/aaai.v38i17.29933
Gali, A., Schleife, A., Heinrich, A. J., Laucht, A., Schuler, B., Chakraborty, C., ... & Ping, Y. (2024). Challenges in advancing our understanding of atomic-like quantum systems: Theory and experiment. MRS Bulletin, 1-21. https://doi.org/10.1557/s43577-023-00659-5	E. Chitambar and F. Leditzky, "On the Duality of Teleportation and Dense Coding," in IEEE Transactions on Information Theory, vol. 70, no. 5, pp. 3529-3537, May 2024. https://doi.org/10.1109/TIT.2023.3331821
Hamilton, G.A., Leditzky, F. Probing Multipartite Entanglement Through Persistent Homology. Commun. Math. Phys. 405, 125 (2024). https://doi.org/10.1007/s00220-024-04953-4	Arunachalam, Srinivasan, Vojtech Havlicek, and Louis Schatzki. "On the role of entanglement and statistics in learning." Advances in Neural Information Processing Systems 36 (2024) https://proceedings.neurips.cc/paper_files/paper/2023
Ming Zhong, Siru Ouyang, Yizhu Jiao, Priyanka Kargupta, Leo Luo, Yanzhen Shen, Bobby Zhou, Xianrui Zhong, Xuan Liu, Hongxiang Li, Jinfeng Xiao, Minhao Jiang, Vivian Hu, Xuan Wang, Heng Ji, Martin Burke, Huimin Zhao and Jiawei Han, "Reaction Miner: An Integrated System for Chemical Reaction Extraction from Textual Data", (System Demonstration), Conf. on Empirical Methods in Natural Language Processing (EMNLP'23), Singapore, Dec. 2023. https://doi.org/10.18653/v1/2023.emnlp-demo.36	W. Bao, T. Wei, H. Wang, J. He. Adaptive Test-Time Personalization for Federated Learning. NeurIPS 2023. https://doi.org/10.48550/arXiv.2310.18816
Angello, N. H.; Friday, D.M.; Hwang, C.; Yi, S.; Cheng, A.; Torres-Flores, T.C.; Wang, W; Jira, E.R.; Aspuru-Guzik, A.; Burke, M.D.; Schroeder, C.M.; Diao, Y.; Jackson, N.E. Closed-loop discovery of photostable light-harvesting small molecules. Nature in revision. 2023 DOI: 10.26434/chemrxiv-2023-jqbqt	X. Liu, H. Li, and H. Zhao. “Synthetic Field Guided Asynchronous Chemoenzymatic Synthesis Planning.” Nature Communications, in revision.
H. Li, X. Liu, G. Jiang, and H. Zhao. “Chemoenzymatic Synthesis Planning Guided by Reaction Type Score.” ACS Catalysis, under review.

2021 Publications

Author(s)	Publication	Journal Name	Date
H. Qiu; S. Jha; S. Banerjee; A. Patke; C. Wang; F. Hubertus; Z. Kalbarczyk; R. Iyer	"Is Function-as-a-Service a Good Fit for Latency-Critical Services?"	Association for Computing Machinery	December 2021
R. Wei; J. Pan; D. Chen	"AccGuard: Secure and trusted computation on remote FPGA accelerators."	2021 IEEE International Symposium on Smart Electronic Systems (iSES), pp. 378-383	2021
A. Sachin; P. Brighten Godfrey; R. Mittal	"Leveraging Service Meshes as a New Network Layer."	Proceedings of the Twentieth ACM Workshop on Hot Topics in Networks, pp. 229-236	2021
H. Lee; J. Motes; M. Morales; N. Amato	“Parallel Hierarchical Composition Conflict-Based Search for Optimal Multi-Agent Pathfinding.”	IEEE Robotics and Automation Letters (RA-L), vol. 6, no. 4, pp. 7001-7008, 2021. International Conference on Intelligent Robots and Systems (IROS) 2021.	2021