IIDAI Publications
Recent Publications
D. Fu, Y. Zhu, Z. Liu, L. Zheng, X. Lin, Z. Li, L. Fang, K. Tieu, O. Bhardwaj, K. Weldemariam, H. Tong, H. Hamann, and J. He. ClimateBench-M: A Multi-Modal Climate Data Benchmark with a Simple Generative Method. CIKM 2025 Resource Track
Z. Li, L. Zheng, B. Jin, D. Fu, B. Jing, Y. Ban, J. He, and J. Han. Can Graph Neural Networks Learn Language with Extremely Weak Text Supervision? ACL 2025
L. Zheng, J. Birge, H. Wu, Y. Zhang, and J. He. Cluster Aware Graph Anomaly Detection. WWW 2025
Rex: Closing the language-verifier gap with safe and usable kernel extensions, Jinghao Jia, Ruowen Qin, Milo Craun, Egor Lukiyanov, Ayush Bansal, Minh Phan, Michael V.Le, Hubertus Franke, Hani Jamjoom, Tianyin Xu, and Dan Williams. In Proceedings of the 2025 USENIX Annual Technical Conference (USENIX ATC'25), Boston, MA, Jul. 2025.
Rex: Safe and Usable Kernel Extensions in Rust, Jinghjao Jia, Open Source Summit 2025, Denver, CO, Jun. 2025.
Low End-to-End Latency atop a Speculative Shared Log with Fix-Ante Ordering, Shreesha Bhat, Tony Hong, Xuhao Luo, Jiyu Hu, Aishwarya Ganesan, Ramnatthan Alagappan. OSDI July 2025.
LazyLog: A New Shared Log Abstraction and Design for Modern Low-Latency Applications. Xuhao Luo, Shreesha Gopalakrishna Bhat, Jiyu Hu, Ramnatthan Alagappan, and Aishwarya Ganesan. 2025. ACM Trans. Comput. Syst. (August 2025). https://doi.org/10.1145/3750445
(Vision Paper) CPU-Limits kill Performance: Time to rethink Resource Control, C. Shetty, S. Chakraborty, L. Shwartz, C. Narayanaswami, H. Franke, I. Gupta, S. Jha, Currently under review at SoCC 2025.
(Full Paper) YAAS We Can! or: How I Learned to Stop Limiting and Build Yet Another AutoScaler, C. Shetty, S. Chakraborty, L. Shwartz, C. Narayanaswami, H. Franke, I. Gupta, S. Jha, Under submission to a conference.
[Artifact Available, Functional] Jinghan Huang (UIUC-IIDAI Student), Hyungyo Kim (UIUC-IIDAI Student, IBM Internship), Nachuan Wang (UIUC-IIDAI Student), Jaeyoung Kang, Hrishi Shah, Eun Kyung Lee (IBM), Minjia Zhang, Fan Lai, and Nam Sung Kim. NetZIP: algorithm/hardware co-design of in-network lossless compression for distributed large model. IEEE/ACM International Symposium on Microarchitecture (MICRO) , Oct 2025.
[Artifact Available, Functional, Reproduced] Hyungyo Kim (UIUC-IIDAI Student), Nachuan Wang (UIUC-IIDAI Student), Qirong Xia, Jinghan Huang (UIUC-IIDAI Student), Amir Yazdanbakhsh, and Nam Sung Kim. LIA: A single-GPU LLM inference acceleration with cooperative AMX-enabled CPU-GPU computation and CXL offloading. IEEE/ACM International Symposium on Computer Architecture (ISCA) , Jul 2025.
[Under Review] Cost-Efficient LLM Training with Lifetime-Aware Tensor Offloading via GPUDirect Storage, by Ziqi Yuan, Haoyang Zhang, Yirui Eric Zhou, Apoorve Mohan, I-Hsin Chung, Seetharami Seelam, Jian Huang, arXiv:2506.06472, Under submission to NeurIPS’25.
[Artifact Available, Functional, Reproduced] ReGate: Enabling Power Gating in Neural Processing Units, Yuqi Xue, Jian Huang, Proceedings of the 58th IEEE/ACM International Symposium on Microarchitecture (MICRO), October 2025.
[Artifact Available, Functional, Reproduced] Elk: Exploring the Efficiency of Inter-core Connected AI Chips with Deep Learning Compiler Techniques, Yiqi Liu, Yuqi Xue, Noelle Crawford, Jilong Xue, Jian Huang. Proceedings of the 58th IEEE/ACM International Symposium on Microarchitecture (MICRO), October 2025.
One NeurIPS 2025 submission on universal position interpolation for hybrid models.
Ahan Gupta, Yueming Yuan, Devansh Jain, Yuhao Ge, David Aponte, Yanqi Zhou, and Charith Mendis. 2025. SPLAT: A Framework for Optimised GPU Code-Generation for SParse reguLar ATtention. Proc. ACM Program. Lang. 9, OOPSLA1, Article 138 (April 2025), 29 pages. https://doi.org/10.1145/3720503
AlphaTrans: A Neuro-Symbolic Compositional Approach for Repository-Level Code Translation and Validation, under review at FSE’25
Núñez-Corrales, S., Di Matteo, O., Dumbell, J., Edwards, M., Giusto, E., Pakin, S. and Stirbu, V., 2025. Productive Quantum Programming Needs Better Abstract Machines. arXiv preprint arXiv:2505.00718.
M. Mollenhauer, A. Irfan, X. Cao, S. Mandal, and W. Pfaff, A high-efficiency elementary network of interchangeable superconducting qubit devices, Nat Electron (2025). DOI:10.1038/s41928-025-01404-3