About
Cunxi is an Assistant Professor in the ECE Department at the University of Utah. His research interests focus on novel algorithms, systems, and hardware designs for computing and security. Before joining University of Utah, Cunxi was a PostDoc at Cornell University in 2018-2019 with Prof. Zhiru Zhang, and was a PostDoc at EPFL in 2017-2018 with Prof. Giovanni De Micheli in 2017-2018, and was a research intern at IBM T.J Watson Research Center in 2015 and 2016. He received Ph.D. degree from UMass Amherst in 2017 under Prof. Maciej Ciesielski. His work received the best paper nomination at ASP-DAC (2017), TCAD Best paper nomination (2018), 1st place at DAC Security Contest (2017), and NSF CAREER Award (2021). He served as
Organizing Committee in IWLS, ICCD, VLSI-SoC, ASAP, as a TPC member in ICCAD, DATE, ASP-DAC, DAC, and
panelist/reviewer for several funding agencies. Yu's group is currently supported by NSF FMiTF Award, NSF SHF Core, NSF CAREER Award, NSF SWIFT, Xilinx, and DOE Center for Integrated Nanotechnologies (CINT).
CV (10/2022)
I am very fortunate to work with a group of talented researchers and students!
News
- 10/2022 Our paper on Reinforcement Learning based device-to-system codesign is accepted at Laser & Photonics Reviews (IF:13.2)!
- 09/2022 Our paper "FlowTune: End-to-end Automatic Logic Optimization Exploration via Domain-specific Multi-armed Bandit" along with our open-source framework is accepted at TCAD! Congrats to Walter and Yingjie!
- 08/2022 Received collaborative NSF SWIFT award joined with Prof. Ji (Lead PI), Prof. Chen (University of Utah), and Prof. Guan (University of Buffalo)! (NSF award)
- 07/2022 Our poster presentation at CLEO'22 received American Physics Society - Division of Laser Science Best Poster Honorable Mention. Congrats to Ruiyang and Yingjie! (Media)
- 07/2022 Our paper on first physics-aware adversarial ML in optical ML systems is accepted in Laser & Photonics Reviews(IF:13.14). Congrats to Yingjie and Ruiyang!
- 07/2022 Will serve as General Chair at the 32nd International Workshop on Logic & Synthesis (IWLS'2023)!
- 07/2022 Received NSF Research Experiences for Undergraduates (NSF-REU) grants! Thanks to the support from NSF!
- 07/2022 Our paper collaborated with Prof. Weilu Gao on " Physics-aware Differentiable Discrete Codesign for Diffractive Optical Neural Networks " is accepted at ICCAD 2022 (22%)! Congrats to Yingjie and Ruiyang.
- 07/2022 Jiaqi received NSF Student Travel Grant for MLSys 2022 and SEC 2022.
- 05/2022 Yu serves as TPC at DAC'22, ICCAD'22, MLCAD'22, DATE'23.
- 02/2022 Our collaborative paper with Prof. Weilu Gao is accepted at Nature Computational Science Congrats to all authors!
- (past news)
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