Publications
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Hybrid Cloud & AI Thrust 1. Jovan Stojkovic, Nikoleta Iliakopoulou, Tianyin Xu, Hubertus Franke, and Josep Torrellas, “EcoFaaS: Rethinking the Design of Serverless Environments for Energy Efficiency,” in Proc. 2024 ACM/IEEE 51st Annual International Symposium on Computer Architecture (ISCA), June 29-July 3, 2024, pp. 471-486. https://doi.org/10.1109/ISCA59077.2024.00042 2. Talal Touseef, William Sentosa, Milind Kumar Vaddiraju, Debopam Bhattacherjee, Balakrishnan Chandrasekaran, Brighten Godfrey, and Shubham Tiwari, “Boosting Application Performance using Heterogeneous Virtual Channels: Challenges and Opportunities,” Proc. 22nd ACM Workshop on Hot Topics in Networks (HotNets), November 28-29, 2023, pp. 139-146. https://doi.org/10.1145/3626111.3628193 3. Hongchi Xia, Zhi-Hao Lin, Wei-Chiu Ma, and Shenlong Wang, “Video2Game: Real-time, Interactive, Realistic and Browser-Compatible Environment from a Single Video,” Proc. International Conference on Computer Vision and Pattern Recognition (CVPR), June 17-21, 2024, pp. 4578-4588. https://openaccess.thecvf.com/content/CVPR2024/papers/Xia_Video2Game_Real-time_Interactive_Realistic_and_Browser-Compatible_Environment_from_a_Single_CVPR_2024_paper.pdf 4. Jing Wen, Xiaoming Zhao, Zhongzheng Ren, Alexander G. Schwing, and Shenlong Wang, “GoMAvatar: Efficient Animatable Human Modeling from Monocular Video Using Gaussians-on-Mesh,” Proc. International Conference on Computer Vision and Pattern Recognition (CVPR), June 17-21, 2024, pp. 2059-2069. https://openaccess.thecvf.com/content/CVPR2024/papers/Wen_GoMAvatar_Efficient_Animatable_Human_Modeling_from_Monocular_Video_Using_Gaussians-on-Mesh_CVPR_2024_paper.pdf 5. Maico Cassel dos Santos, Tianyu Jia, Joseph Zuckerman, Martin Cochet, Davide Giri, Erik Jens Loscalzo, Karthik Swaminathan, Thierry Tambe, Jeff Jun Zhang, Alper Buyuktosunoglu, Kuan-Lin Chiu, Giuseppe Di Guglielmo, Paolo Mantovani, Luca Piccolboni, Gabriele Tombesi, David Trilla, John-David Wellman, En-Yu Yang, Aporva Amarnath, Ying Jing, Bakshree Mishra, Joshua Park, Vignesh Suresh, Sarita Adve, Pradip Bose, David Brooks, Luca P. Carloni, Kenneth L. Shepard, Gu-Yeon Wei, “A 12nm Linux-SMP-Capable RISC-V SoC with 14 Accelerator Types, Distributed Hardware Power Management and Flexible NoC-Based Data Orchestration,” Proc. 2024 IEEE International Solid-State Circuits Conference (ISSCC), February 18-22, 2024, pp. 262-264. https://doi.org/10.1109/ISSCC49657.2024.10454572 6. Benjamin Darnell, Hetarth Chopra, Aaron Councilman, David Grove, Yu-Xiong Wang, and Vikram Adve, “An Empirical Comparison of Code Generation Approaches for Ansible,” in Proc. ACM/IEEE 2nd International Workshop on Interpretability, Robustness, and Benchmarking in Neural Software Engineering (InteNSE '24), April 15, 2024, pp. 1-6. https://doi.org/10.1145/3643661.3643951 7. Shengkun Cui, Saurabh Jha, Ziheng Chen, Zbigniew T. Kalbarczyk, and Ravishankar K. Iyer, “iPrism: Characterize and Mitigate Risk by Quantifying Change in Escape Routes,” Proc. 2024 54th Annual IEEE/IFIP International Conference on Dependable Systems and Networks (DSN), June 24-27, 2024, pp. 142-155. https://doi.org/10.1109/DSN58291.2024.00027 8. Haoran Qiu, Linghao Zhang, Chen Wang, Hubertus Franke, Zbigniew T. Kalbarczyk, and Ravishankar K. Iyer, “PARM: Adaptive Resource Allocation for Datacenter Power Capping,” Proc. Machine Learning for Systems 2023 (MlSys Workshop NeurIPS 2023), Dec. 15, 2023. https://openreview.net/pdf?id=GBftREPtdK 9. Haoran Qiu, Weichao Mao, Chen Wang, Hubertus Franke, Zbigniew T. Kalbarczyk, Tamer Başar, and Ravishankar K. Iyer, “On the Promise and Challenges of Foundation Models for Learning-based Cloud Systems Management,” Proc. Machine Learning for Systems 2023 (MlSys Workshop NeurIPS 2023), Dec. 15, 2023. https://openreview.net/pdf?id=HTgdQIAgvJ 10. Haoran Qiu, Weichao Mao, Archit Patke, Shengkun Cui, Saurabh Jha, Chen Wang, Hubertus Franke, Zbigniew Kalbarczyk, Tamer Başar, and Ravishankar Iyer, “Efficient Interactive LLM Serving with Proxy Model-based Sequence Length Prediction,” Proc. 5th International Workshop on Cloud Intelligence / AIOps, April 27, 2024. https://doi.org/10.48550/arXiv.2404.08509 11. Haoran Qiu, Weichao Mao, Chen Wang, Saurabh Jha, Hubertus Franke, Chandra Narayanaswami, Zbigniew Kalbarczyk, Tamer Başar, and Ravishankar Iyer, “When Green Computing Meets Performance and Resilience SLOs,” Proc. 54th Annual IEEE/IFIP International Conference on Dependable Systems and Networks - Supplemental Volume (DSN-S), June 24-27, 2024, pp. 17-22. https://doi.org/10.1109/DSN-S60304.2024.00015 12. Haoran Qiu, Weichao Mao, Archit Patke, Shengkun Cui, Chen Wang, Hubertus Franke, Zbigniew T. Kalbarczyk, Tamer Başar, and Ravishankar K. Iyer, “FLASH: Fast Model Adaptation in ML-Centric Cloud Platforms,” Proc. 7th Annual Conference on Machine Learning and Systems, 6 (MLSys 2024), May 13-16, 2024. https://proceedings.mlsys.org/paper_files/paper/2024/hash/f502981cbe221d857ad409450a7917c3-Abstract-Conference.html 13. Haoran Qiu, Weichao Mao, Archit Patke, Shengkun Cui, Saurabh Jha, Chen Wang, Hubertus Franke, Zbigniew T. Kalbarczyk, Tamer Başar, and Ravishankar K. Iyer, “Power-aware Deep Learning Model Serving with μ-Serve,” Proc. 2024 USENIX Annual Technical Conference (ATC 2024), July 10-12, 2024, pp. 75-93. https://www.usenix.org/conference/atc24/presentation/qiu 14. Hongpeng Guo, Haotian Gu, Xiaoyang Wang, Bo Chen, Eun Kyung Lee, Tamar Eilam, Deming Chen, and Klara Nahrstedt, “FedCore: Straggler-Free Federated Learning with Distributed Coresets,” Proc. IEEE International Conference on Communications (ICC 2024), Denver, CO, June 9-13, 2024, pp. 280-286. https://doi.org/10.1109/ICC51166.2024.10622224 15. Wei Ren, Sandhya Koteshwara, Mengmei Ye, Hubertus Franke, and Deming Chen, “S2TAR: Shared Secure Trusted Accelerators with Reconfiguration for Machine Learning in the Cloud,” Proc. 2024 IEEE 17th International Conference on Cloud Computing (CLOUD), Shenzhen, China, June 7-13, 2024, pp. 267-278. https://doi.org/10.1109/CLOUD62652.2024.00038 16. Tingkai Liu, Huili Tao, Yicheng Lu, Zhongbo Zhu, Marquita Ellis, Sara Kokkila-Schumacher, and Volodymyr Kindratenko, “Automated Data Management and Learning-Based Scheduling for Ray-Based Hybrid HPC-Cloud Systems,” Proc. 30th European Conference on Parallel and Distributed Processing (Euro-Par 2024), August 26-30, 2024, Lecture Notes in Computer Science vol. 14801, pp. 180-194. https://doi.org/10.1007/978-3-031-69577-3_13 17. Aditya Bhosale, Zane Fink, and Laxmikant Kale, “An Abstraction for Distributed Stencil Computations Using Charm++,” Proc. 2nd International Workshop on Asynchronous Many-Task Systems and Applications (WAMTA 2024), February 14-16, 2024, pp. 123-134. Lecture Notes in Computer Science vol. 14626. https://doi.org/10.1007/978-3-031-61763-8_12 18. Jinghan Huang, Jiaqi Lou, Srikar Vanavasam, Xinhao Kong, Houxiang Ji, Ipoom Jeong, Eun Kyung Lee, Danyang Zhuo, and Nam Sung Kim, “HAL: Hardware-assisted Load Balancing for Energy-efficient SNIC-host Cooperative Computing,” Proc. 2024 ACM/IEEE 51st Annual International Symposium on Computer Architecture (ISCA), June 29-July 3, 2024, pp. 613-627. https://doi.org/10.1109/ISCA59077.2024.00051 19. Hyungyo Kim, Gaohan Ye, Nachuan Wang, Amir Yazdanbakhsh, and Nam Sung Kim, “Exploiting Intel Advanced Matrix Extensions (AMX) for Large Language Model Inference,” IEEE Computer Architecture Letters (CAL), vol. 23, no. 1, pp. 117-120, January–June 2024. https://doi.org/10.1109/LCA.2024.3397747 20. 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,” Proc. 2023 IEEE International Symposium on Workload Characterization (IISWC), October 1-3, 2023, pp. 28-42. https://doi.org/10.1109/IISWC59245.2023.00025 21. Haoyang Zhang, Yirui Zhou, Yuqi Xue, Yiqi Liu, and Jian Huang, “G10: Enabling an Efficient Unified GPU Memory and Storage Architecture with Smart Tensor Migrations,” Proceedings of the 56th Annual IEEE/ACM International Symposium on Microarchitecture (MICRO’23), October 28-November 1, 2023, pp. 395-410. https://doi.org/10.1145/3613424.3614309 22. Yifan Zhao, Hashim Sharif, Vikram Adve, and Sasa Misailovic, “Felix: Optimizing Tensor Programs with Gradient Descent,” Proc. 29th ACM International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS 2024), La Jolla, CA, April 27-May 1, 2024, vol. 3, pp. 367-381. https://doi.org/10.1145/3620666.3651348 23. Rangeet Pan, Ali Reza Ibrahimzada, Rahul Krishna, Divya Sankar, Lambert Pouguem Wassi, Michele Merler, Boris Sobolev, Raju Pavuluri, Saurabh Sinha, and Reyhaneh Jabbarvand, “Lost in Translation: A Study of Bugs Introduced by Large Language Models while Translating Code,” Proc. IEEE/ACM 46th International Conference on Software Engineering (ICSE’24), April 14-20, 2024, article no. 82. https://doi.org/10.1145/3597503.3639226 24. Ali Reza Ibrahimzada, “Program Decomposition and Translation with Static Analysis,” ICSE-Companion ’24: Proc. 2024 IEEE/ACM 46th International Conference on Software Engineering: Companion Proceedings, April 14-20, 2024, pp. 453-455. https://doi.org/10.1145/3639478.3641226 25. Limin Yang, Zhi Chen, Chenkai Wang, Zhenning Zhang, Sushruth Booma, Phuong Cao, Constantin Adam, Alexander Withers, Zbigniew Kalbarczyk, Ravishankar K. Iyer, and Gang Wang, “True Attacks, Attack Attempts, or Benign Triggers? An Empirical Measurement of Network Alerts in a Security Operations Center,” Proc. 33rd USENIX Security Symposium (USENIX Security 2024), Philadelphia, PA, August 14-16, 2024. https://www.usenix.org/conference/usenixsecurity24/presentation/yang-limin 26. Scott Smith, Yuan Ma, Marissa Lanz, Bill Dai, Martin Ohmacht, Bharat Sukhwani, Hubertus Franke, Volodymyr Kindratenko, and Deming Chen, “OS4C: An Open-Source SR-IOV System for SmartNIC-based Cloud Platforms”, Proceedings of IEEE International Conference on Cloud Computing (CLOUD), July 2024. 27. Yuan Ma, Scott Smith, Bill Dai, Hubertus Franke, Bharat Sukhwani, Sameh Asaad, Jinjun Xiong, Volodymyr Kindratenko, and Deming Chen, “UniNet: Accelerating the Container Network Data Plane in IaaS Clouds”, Proceedings of IEEE International Conference on Cloud Computing (CLOUD), July 2024.
Climate & Sustainability Thrust 28. Shengyu Feng, Baoyu Jing, Yada Zhu, and Hanghang Tong, “ArieL: Adversarial Graph Contrastive Learning,” ACM Transactions on Knowledge Discovery from Data, vol. 18, no. 4, article no. 82, 2024. https://doi.org/10.1145/3638054 29. Yikun Ban, Ishika Agarwal, Ziwei Wu, Yada Zhu, Kommy Weldemariam, Hanghang Tong, and Jingrui He, “Neural Active Learning Beyond Bandits,” Proc. 12th International Conference on Learning Representations (ICLR), May 7, 2024. https://openreview.net/forum?id=g1S72T3FGc 30. Zhining Liu, Ruizhong Qiu, Zhichen Zeng, Hyunsik Yoo, David Zhou, Zhe Xu, Yada Zhu, Kommy Weldemariam, Jingrui He, and Hanghang Tong, “Class-Imbalanced Graph Learning without Class Rebalancing,” Proc. 41st International Conference on Machine Learning, July 21-27, 2024, Proceedings of Machine Learning Research (PMLR) vol. 235, pp. 31747-31772. https://proceedings.mlr.press/v235/liu24ay.html 31. Zhining Liu, Ruizhong Qiu, Zhichen Zeng, Yada Zhu, Hendrik Hamann, and Hanghang Tong, “AIM: Attributing, Interpreting, Mitigating Data Unfairness,” Proc. 30th ACM SIKKDD Conference on Knowledge Discovery and Data Mining (KDD), August 25-29, 2024, pp. 2014-2025. https://doi.org/10.1145/3637528.3671797
Materials Discovery 32. 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 paper), Proc. 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP’23), Singapore, Dec. 6-10, 2023, pp. 389-402. https://doi.org/10.18653/v1/2023.emnlp-demo.36 33. Xianrui Zhong, Yufeng Du, Siru Ouyang, Ming Zhong, Tingfeng Luo, Qirong Ho, Hao Peng, Heng Ji, and Jiawei Han, “ActionIE: Action Extraction from Scientific Literature with Programming Languages,” Proc. 62nd Annual Meeting of the Association for Computational Linguistics (ACL’24), Bangkok, Thailand, Aug. 11-16, 2024, volume 1, pp. 12656-12671. https://doi.org/10.18653/v1/2024.acl-long.683 34. Jinfeng Xiao, Linyi Ding, James Barry, Mohab Elkaref, Geeth De Mel, and Jiawei Han, “ORAG: Ontology-Guided Retrieval-Augmented Generation for Theme-Specific Entity Typing,” Proc. 2024 Conference on Language Modeling (COLM’24), Philadelphia, PA, Oct. 7-9, 2024. https://openreview.net/forum?id=cKBmZ2PZ6c
Quantum 35. Brian Doolittle, Felix Leditzky, and Eric Chitambar, “Operational Nonclassicality in Quantum Communication Networks,” arXiv, March 5, 2024. https://doi.org/10.48550/arXiv.2403.02988
Scaling Impact through Workforce Development 36. Hsinju Chen, Mayura Kulkarni, Alyssa Huang, Mei-Yun Lin, Roland D. Cusick, and Holly M. Golecki, “Connecting motivations for graduate school with learning experiences of engineering undergraduates: A gender perspective,” Proc. 2023 ASEE Illinois-Indiana Section Conference, Edwardsville, IL, April 1-2, 2023. https://doi.org/10.18260/1-2-1131-45091. 37. Mei-Yun Lin, Hsinju Chen, and Holly M. Golecki, “HUG Initiative: Overcoming roadblocks on a research career roadmap of individuals from historically marginalized or underrepresented genders.” Frontiers in Astronomy and Space Sciences, vol. 10, March 22, 2023. https://doi.org/10.3389/fspas.2023.1134327 38. Mei-Yun Lin, Hsinju Chen, Holly M. Golecki, Leah Espenhahn, Erin Marie Raftery, Alyssa Huang, and Mayura Kulkarni, “Supporting Students with Minoritized Gender Identities in Research: The Design and Assessment of an Initiative in Electrical and Computer Engineering,” Proc. 2023 ASEE Annual Conference & Exposition, Baltimore, MD, June 25-28, 2023. https://doi.org/10.18260/1-2--44370 39. Aadhy Parthasarathy, Rupal Nigam, Aanchal Gupta, Tove Elisabeth Kopperstad, Ani Pirosmanishvili, and Theresa Ann Saxton-Fox, “Supporting graduate women in engineering: The approach and findings of a year-long program at UIUC,” Proc. 2023 ASEE Annual Conference & Exposition, Baltimore, MD, June 25-28, 2023. https://doi.org/10.18260/1-2--44364
Published after August 2024
Hybrid Cloud & AI 1. Shaowei Liu, Zhongzheng Ren, Saurabh Gupta, and Shenlong Wang, “PhysGen: Rigid-Body Physics-Grounded Image-to-Video Generation,” Proc. 18th European Conference on Computer Vision (ECCV), September 29-October 4, 2024, Lecture Notes in Computer Science vol. 15140, pp. 360-378. https://doi.org/10.1007/978-3-031-73007-8_21 2. Boyuan Tian, Yihan Pang, Muhammad Huzaifa, Shenlong Wang, and Sarita Adve, “Towards Energy-Efficiency by Navigating the Trilemma of Energy, Latency, and Accuracy,” Proc. 2024 IEEE International Symposium on Mixed and Augmented Reality (ISMAR), October 21-25, 2024, pp. 913-922. https://doi.org/10.48550/arXiv.2409.04018 3. Vignesh Suresh, Bakshree Mishra, Ying Jing, Zeran Zhu, Naiyin Jin, Charles Block, Paolo Mantovani, Davide Giri, Joseph Zuckerman, Luca P. Carloni, and Sarita V. Adve, “Mozart: Taming Taxes and Composing Accelerators with Shared-Memory,” Proc. 2024 International Conference on Parallel Architectures and Compiler Techniques (PACT), October 14-26, 2024, pp. 183-200. https://doi.org/10.1145/3656019.3676896 4. Q. Jiang, Y. Pang, W. Sentosa, S. Gao, M. Huzaifa, J. Zhang, J. Perez-Ramirez, D. Das, D. Cavalcanti, B. Godfrey, and S. Adve, “Offloading Head Tracking for Low Power XR: An End-to-End System and Evaluation,” Proc. 16th ACM Multimedia Systems Conference, March 31-April 3, 2025, to appear. 5. Alexa Lauinger, Meagan McNicholas, Matthew Bramlet, Maria Bederson, Bradley Sutton, Caroline Cao, Irfan Ahmad, Carlos Brown, Shandra Jamison, Sarita Adve, John Vozenilek, Jim Rehg, and Mark Cohen, “Applications of Mixed Reality with Medical Imaging for Training and Clinical Practice,” accepted to the Journal of Medical Imaging pending minor revisions. 6. Archit Patke, Dhemath Reddy, Saurabh Jha, Haoran Qiu, Christian Pino, Chandra Narayanaswami, Zbigniew Kalbarczyk, and Ravishankar Iyer, “Queue Management for SLO-Oriented Large Language Model Serving,” Proceedings of the 2024 ACM Symposium on Cloud Computing (SoCC), November 20-22, 2024, pp. 18-35. https://doi.org/10.1145/3698038.3698523 7. Xuhao Luo, Shreesha G. Bhat, Jiyu Hu, Ramnatthan Alagappan, and Aishwarya Ganesan, “LazyLog: A New Shared Log Abstraction for Low-Latency Applications,” Proc. ACM SIGOPS 30th Symposium on Operating Systems Principles (SOSP), November 4-6, 2024, pp. 296-312. https://doi.org/10.1145/3694715.3695983 8. Jinghan Sun, Zibo Gong, Anup Agarwal, Shadi Noghabi, Ranveer Chandra, Marc Snir, and Jian Huang, “Exploring the Efficiency of Renewable Energy-based Modular Data Centers at Scale,” Proc. 2024 ACM Symposium on Cloud Computing (SoCC’24), Redmond, WA, November 20-22, 2024, pp. 552-569. https://doi.org/10.1145/3698038.3698544 9. Zhao, Yifan, Vikram Adve, and Sasa Misailovic. "Programming Systems for Improving the Performance of Deep Learning-Intensive Applications." Workshop on Practical Adoption Challenges of ML for Systems (PACMI’24), co-located with SOSP 2024, Austin, TX, November 3, 2024. https://misailo.cs.illinois.edu/papers/pacmi24.pdf
Materials Discovery 10. Linyi Ding, Jinfeng Xiao, Sizhe Zhou, Chaoqi Yang, and Jiawei Han, “Topic-Oriented Open Relation Extraction with A Priori Seed Generation,” Proc. 2024 Conference on Empirical Methods in Natural Language Processing (EMNLP’24), Miami, FL, Nov. 12-16, 2024, pp. 13834-13845. https://doi.org/10.18653/v1/2024.emnlp-main.766
Scaling Impact through Workforce Development 11. Leah Espenhahn, Erin Raftery, Mei-Yun Lin, Hsinju Chen, and Holly Golecki, “Factors Influencing Researcher Identities in Minority Gender Students in Electrical Engineering,” Proc. 2024 Frontiers in Education (FIE) Conference, October 13-16, 2024, to appear. https://confcats-siteplex.s3.us-east-1.amazonaws.com/fie24/FIE_2024_Program_V11_4b5763fc53.pdf |
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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. |
Jinghan Huang, Jiaqi Lou, Yan Sun, Tianchen Wang, Eun Kyung Lee, Nam Sung Kim. |
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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. |
Haoran Qiu, Weichao Mao, Chen Wang, Hubertus Franke, Alaa Youssef, Zbigniew T. |
| 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 |
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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 50th 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: |
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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, |
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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 |
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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 |
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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 |
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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 |
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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 |
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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 |
| 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 |
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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 |
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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 |
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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, |
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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- |
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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 |
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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. |
Yu Zhang, Yunyi Zhang, Martin Michalski, Yucheng Jiang, Yu Meng, and Jiawei Han, |
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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. |
Deepti Kalasapura, Jinyang Li, Shengzhong Liu, Yizhuo Chen, Ruijie Wang, |
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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, |
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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, |
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Mudhakar Srivatsa, Tarek Abdelzaher, Ting He, “Artificial Intelligence for Edge |
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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 |
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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. |
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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. |
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. |
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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 |
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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 |
end of table |
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[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 |
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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. |
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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 |
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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 |
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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. |
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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. |
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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. |
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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. |
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. |
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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. |
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. |
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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. |
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 |
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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). |
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. |
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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. |
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. |
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Hamilton, G.A., Leditzky, F. Probing Multipartite Entanglement Through Persistent Homology. Commun. Math. Phys. 405, 125 (2024). |
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 |
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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. |
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 |
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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 |
X. Liu, H. Li, and H. Zhao. “Synthetic Field Guided Asynchronous Chemoenzymatic Synthesis Planning.” Nature Communications, in revision. |
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H. Li, X. Liu, G. Jiang, and H. Zhao. “Chemoenzymatic Synthesis Planning Guided by Reaction Type Score.” ACS Catalysis, under review. |
| Author(s) | Publication | Journal Name | Issue | 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 |