IIDAI Publications
August 2023 - August 2024
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
26. 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
27. 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
28. 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
29. 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
30. 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
31. 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
32. 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
33. 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
34. 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.
35. 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
36. 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
37. 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