Interconnect-aware device targeting from PPA perspective. - Mustafa Badaroglu; Jeff Xu (ICCAD, 2016)

The "Climate" system: Nano-Reactor for in-situ analysis of solid-gas interactions inside the TEM. - Héctor Hugo Pérez Garza; Diederik Morsink; Jeff Xu; Mariya Sholkina; Yevheniy Pivak; Merijn Pen; Sander van Weperen; Qiang Xu (NEMS, 2016)

PPAC scaling enablement for 5nm mobile SoC technology. - Mustafa Badaroglu; Jeff Xu; John Zhu; Da Yang 007; Jerry Bao; Seung Chul Song; Peijie Feng; Romain Ritzenthaler; Hans Mertens; Geert Eneman; Naoto Horiguchi; Jeffrey Smith 003; et al. (ESSDERC, 2017)

Investigation of electrically gate-all-around hexagonal nanowire FET (HexFET) architecture for 5 nm node logic and SRAM applications. - Jeffrey A. Smith; Kai Ni 004; Ram Krishna Ghosh; Jeff Xu; Mustafa Badaroglu; P. R. Chidi Chidambaram; Suman Datta (ESSDERC, 2017)

Lifting sum-of-squares lower bounds: degree-2 to degree-4. - Sidhanth Mohanty; Prasad Raghavendra; Jeff Xu (STOC, 2020)

Sum-of-Squares Lower Bounds for Sparse Independent Set. - Chris Jones; Aaron Potechin; Goutham Rajendran; Madhur Tulsiani; Jeff Xu (FOCS, 2021)

Certifying Solution Geometry in Random CSPs: Counts, Clusters and Balance. - Jun-Ting Hsieh; Sidhanth Mohanty; Jeff Xu (CCC, 2022)

Polynomial-Time Power-Sum Decomposition of Polynomials. - Mitali Bafna; Jun-Ting Hsieh; Pravesh K. Kothari; Jeff Xu (FOCS, 2022)

Is Planted Coloring Easier than Planted Clique? - Pravesh Kothari; Santosh S. Vempala; Alexander S. Wein; Jeff Xu (COLT, 2023)

Ellipsoid Fitting up to a Constant. - Jun-Ting Hsieh; Pravesh K. Kothari; Aaron Potechin; Jeff Xu (ICALP, 2023)

Sum-of-Squares Lower Bounds for Densest k-Subgraph. - Chris Jones; Aaron Potechin; Goutham Rajendran; Jeff Xu (STOC, 2023)

Sum-of-Squares Lower Bounds for Independent Set on Ultra-Sparse Random Graphs. - Pravesh K. Kothari; Aaron Potechin; Jeff Xu (STOC, 2024)

Switching Graph Matrix Norm Bounds: From i.i.d. to Random Regular Graphs. - Jeff Xu (CCC, 2025)

Sum-of-Squares Lower Bounds for Coloring Random Graphs. - Aaron Potechin; Jeff Xu (STOC, 2025)

AAPA: An Archetype-Aware Predictive Autoscaler with Uncertainty Quantification for Serverless Workloads on Kubernetes. - Guilin Zhang; Srinivas Vippagunta; Raghavendra Nandagopal; Suchitra Raman; Jeff Xu; Marcus Pfeiffer; Shreeshankar Chatterjee; Ziqi Tan; Wulan Guo; Hailong Jiang (CoRR, 2025)