Local node selection for target tracking based on underwater wireless sensor networks. - Qiang Zhang; Chaojie Zhang; Meiqin Liu 001; Senlin Zhang (Int. J. Syst. Sci., 2015)

PN Ranging Based on Noncommensurate Sampling: Zero-Bias Mitigation Methods. - Xiao-Jun Jin; Ning Zhang 007; Kan Yang 001; Xuemin Shen; Zhaobin Xu; Chaojie Zhang; Zhonghe Jin (IEEE Trans. Aerosp. Electron. Syst., 2017)

Information Models: Creating and Preserving Value in Volatile Cloud Resources. - Chaojie Zhang; Varun Gupta 004; Andrew A. Chien (IC2E, 2019)

Real-time Serverless: Enabling Application Performance Guarantees. - Hai Duc Nguyen 005; Chaojie Zhang; Zhujun Xiao; Andrew A. Chien (WOSC@Middleware, 2019)

Flex: High-Availability Datacenters With Zero Reserved Power. - Chaojie Zhang; Alok Gautam Kumbhare; Ioannis Manousakis; Deli Zhang; Pulkit A. Misra; Rod Assis; Kyle Woolcock; Nithish Mahalingam; Brijesh Warrier; David Gauthier; Lalu Kunnath; Steve Solomon; et al. (ISCA, 2021)

Scheduling Challenges for Variable Capacity Resources. - Chaojie Zhang; Andrew A. Chien (JSSPP, 2021)

A convolution-based grid map reconfiguration method for autonomous driving in highly constrained environments. - Chaojie Zhang; Mengxuan Song; Jun Wang 025 (IV, 2022)

Estimation and Dynamic Evolution of Provincial Factor-Output Elasticity in China. - Zhengzhi Xu; Xiujie Li; Chaojie Zhang; Jiani Zhu; Shangfeng Zhang; Ke Lu (J. Adv. Comput. Intell. Intell. Informatics, 2022)

An LSTM-based Game Theory Method for Multi-Agent DecisionMaking in Highway Scenarios. - Siyuan Hu; Chaojie Zhang; Jun Wang 025 (ACC, 2023)

Multi-Occlusions Inference from Multiple Social Vehicles. - Xuhe Zhao; Chaojie Zhang; Jun Wang (CDC, 2023)

Myths and Misconceptions Around Reducing Carbon Embedded in Cloud Platforms. - Jialun Lyu; Jaylen Wang; Kali Frost; Chaojie Zhang; Celine Irvene; Esha Choukse; Rodrigo Fonseca; Ricardo Bianchini; Fiodar Kazhamiaka; Daniel S. Berger (HotCarbon, 2023)

Risk-Aware Scheduling Algorithms for Variable Capacity Resources. - Lucas Perotin; Chaojie Zhang; Rajini Wijayawardana; Anne Benoit; Yves Robert; Andrew A. Chien (SC Workshops, 2023)

POLCA: Power Oversubscription in LLM Cloud Providers. - Pratyush Patel; Esha Choukse; Chaojie Zhang; Íñigo Goiri; Brijesh Warrier; Nithish Mahalingam; Ricardo Bianchini (CoRR, 2023)

The Transformer Bridge Principle Circuit Using RF Admittance Technology. - Fanfan Liu; Chaojie Zhang; Wenyong Guo; Xinglong Pan (Sensors, 2023)

GNNRec: gated graph neural network for session-based social recommendation model. - Chun Liu; Yuxiang Li; Hong Lin 004; Chaojie Zhang (J. Intell. Inf. Syst., 2023)

Characterizing Power Management Opportunities for LLMs in the Cloud. - Pratyush Patel; Esha Choukse; Chaojie Zhang; Íñigo Goiri; Brijesh Warrier; Nithish Mahalingam; Ricardo Bianchini (ASPLOS (3), 2024)

Splitwise: Efficient Generative LLM Inference Using Phase Splitting. - Pratyush Patel; Esha Choukse; Chaojie Zhang; Aashaka Shah; Íñigo Goiri; Saeed Maleki; Ricardo Bianchini (ISCA, 2024)

Designing Cloud Servers for Lower Carbon. - Jaylen Wang; Daniel S. Berger; Fiodar Kazhamiaka; Celine Irvene; Chaojie Zhang; Esha Choukse; Kali Frost; Rodrigo Fonseca; Brijesh Warrier; Chetan Bansal; Jonathan Stern; Ricardo Bianchini; et al. (ISCA, 2024)

Towards Greener LLMs: Bringing Energy-Efficiency to the Forefront of LLM Inference. - Jovan Stojkovic; Esha Choukse; Chaojie Zhang; Íñigo Goiri; Josep Torrellas (CoRR, 2024)

MR-Transformer: Vision Transformer for Total Knee Replacement Prediction Using Magnetic Resonance Imaging. - Chaojie Zhang; Shengjia Chen; Ozkan Cigdem; Haresh Rengaraj Rajamohan; Kyunghyun Cho; Richard Kijowski; Cem M. Deniz (CoRR, 2024)

Mnemosyne: Parallelization Strategies for Efficiently Serving Multi-Million Context Length LLM Inference Requests Without Approximations. - Amey Agrawal; Junda Chen; Íñigo Goiri; Ramachandran Ramjee; Chaojie Zhang; Alexey Tumanov; Esha Choukse (CoRR, 2024)

Optimization Strategy of Customer Relationship Management based on Big Data Analysis. - Baohua Zhang; Sanbao Zhang; Chaojie Zhang (Informatica (Slovenia), 2024)

Efficient Uncertainty-Aware Collision Avoidance for Autonomous Driving Using Convolutions. - Chaojie Zhang; Xichao Wu; Jun Wang 025; Mengxuan Song (IEEE Trans. Intell. Transp. Syst., 2024)

TAPAS: Thermal- and Power-Aware Scheduling for LLM Inference in Cloud Platforms. - Jovan Stojkovic; Chaojie Zhang; Íñigo Goiri; Esha Choukse; Haoran Qiu; Rodrigo Fonseca; Josep Torrellas; Ricardo Bianchini (ASPLOS (2), 2025)

StrongSiamTracker: A Siamese Tracker with Dynamic Global Detection for Robust Anti-UAV Tracking. - Xiaolong Cui; Liu Wan; Lingqi Kong; Jimin Li; Chaojie Zhang; Ruohan Zhao; Panlong Wu; Shan He (CVPR Workshops, 2025)

DynamoLLM: Designing LLM Inference Clusters for Performance and Energy Efficiency. - Jovan Stojkovic; Chaojie Zhang; Íñigo Goiri; Josep Torrellas; Esha Choukse (HPCA, 2025)

Hybrid quantum annealing for large-scale exam scheduling: Validation in real-world educational scenarios. - Ziyu Zhou; Qing Chen; Chaojie Zhang; Mengtong Tan; Shuyan Li (Appl. Soft Comput., 2025)

A computation-efficient network with feature aggregation for cancer subtype classification on histopathological images. - Zong Fan; Chaojie Zhang; Lulu Sun; Wade Thorstad; Hiram Gay; Xiaowei Wang; Hua Li 003 (Eng. Appl. Artif. Intell., 2025)

Hybrid Grid Search and Bayesian optimization-based random forest regression for predicting material compression pressure in manufacturing processes. - Youcheng Zong; Yi Nian; Chaojie Zhang; Xinyu Tang; Lin Wang; Liqiang Zhang (Eng. Appl. Artif. Intell., 2025)

A road tunnel detection method based on SE-YOLOv5 network. - Yu Bai; Jichao Wang; Xuewei Zhang; Chaojie Zhang; Huiyuan Liu; Kongyun Chen; Jian Wang 110 (Int. J. Comput. Sci. Math., 2025)

EDA-Q: Electronic Design Automation for Superconducting Quantum Chip. - Bo Zhao; Zhihang Li; Xiaohan Yu; Benzheng Yuan; Chaojie Zhang; Yimin Gao; Weilong Wang; Qing Mu; Shuya Wang; Huihui Sun; Tian Yang; Mengfan Zhang; et al. (CoRR, 2025)

AI Greenferencing: Routing AI Inferencing to Green Modular Data Centers with Heron. - Tella Rajashekhar Reddy; Palak 004; Rohan Gandhi; Anjaly Parayil; Chaojie Zhang; Mike Shepperd; Liangcheng Yu; Jayashree Mohan; Srinivasan Iyengar; Shivkumar Kalyanaraman; Debopam Bhattacherjee (CoRR, 2025)