Fracture analysis on die attach adhesives for stacked packages based on in-situ testing and cohesive zone model. - Huai-Hui Ren; Xi-Shu Wang; Su Jia (Microelectron. Reliab., 2013)

Effects of solder balls and arrays on the failure behavior in Package-on-Package structure. - Xi-Shu Wang; Su Jia; Huai-Hui Ren; Pan Pan (Microelectron. Reliab., 2014)

Face Video Retrieval via Deep Learning of Binary Hash Representations. - Zhen Dong 002; Su Jia; Tianfu Wu 001; Mingtao Pei (AAAI, 2016)

Approximation Algorithms for Time-Window TSP and Prize Collecting TSP Problems. - Jie Gao 001; Su Jia; Joseph S. B. Mitchell; Lu Zhao (WAFR, 2016)

Input Aggregated Network for Face Video Representation. - Zhen Dong 002; Su Jia; Chi Zhang 063; Mingtao Pei (CoRR, 2016)

Deep Manifold Learning of Symmetric Positive Definite Matrices with Application to Face Recognition. - Zhen Dong 002; Su Jia; Chi Zhang 063; Mingtao Pei; Yuwei Wu 001 (AAAI, 2017)

Competitive analysis for online scheduling in software-defined optical WAN. - Su Jia; Xin Jin 008; Golnaz Ghasemiesfeh; Jiaxin Ding 001; Jie Gao 001 (INFOCOM, 2017)

Network Optimization on Partitioned Pairs of Points. - Esther M. Arkin; Aritra Banik; Paz Carmi; Gui Citovsky; Su Jia; Matthew J. Katz; Tyler Mayer; Joseph S. B. Mitchell (ISAAC, 2017)

Simulation study on thermo-fatigue failure behavior of solder joints in package-on-package structure. - Zhi-Hao Zhang; Xi-Shu Wang; Huai-Hui Ren; Su Jia; Hui-Hua Yang (Microelectron. Reliab., 2017)

Optimal Decision Tree with Noisy Outcomes. - Su Jia; Viswanath Nagarajan; Fatemeh Navidi; R. Ravi 001 (NeurIPS, 2019)

Greedy Approximation Algorithms for Active Sequential Hypothesis Testing. - Kyra Gan; Su Jia; Andrew A. Li (NeurIPS, 2021)

Approximation Algorithms for Active Sequential Hypothesis Testing. - Kyra Gan; Su Jia; Andrew A. Li (CoRR, 2021)

Dynamic Pricing with Monotonicity Constraint under Unknown Parametric Demand Model. - Su Jia; Andrew A. Li; R. Ravi 001 (NeurIPS, 2022)

Effective Online Order Acceptance Policies for Omnichannel Fulfillment. - Su Jia; Jeremy Karp; R. Ravi 001; Sridhar R. Tayur (Manuf. Serv. Oper. Manag., 2022)

Short-lived High-volume Bandits. - Su Jia; Nishant Oli; Ian Anderson 005; Paul Duff; Andrew A. Li; R. Ravi 001 (ICML, 2023)

Smooth Non-stationary Bandits. - Su Jia; Qian Xie 005; Nathan Kallus; Peter I. Frazier (ICML, 2023)

From Stream to Pool: Dynamic Pricing Beyond i.i.d. Arrivals. - Titing Cui; Su Jia; Thomas Lavastida (CoRR, 2023)

Markdown Pricing Under an Unknown Parametric Demand Model. - Su Jia; Andrew A. Li; R. Ravi 001 (CoRR, 2023)

Short-lived High-volume Multi-A(rmed)/B(andits) Testing. - Su Jia; Andrew A. Li; R. Ravi 001; Nishant Oli; Paul Duff; Ian Anderson 005 (CoRR, 2023)

Faster Rates for Switchback Experiments. - Su Jia; Sohom Bhattacharya; Nathan Kallus; Christina Lee Yu (CoRR, 2023)

Multi-Armed Bandits with Interference. - Su Jia; Peter I. Frazier; Nathan Kallus (CoRR, 2024)