Zhuangwei Kang

19 papers B 4C 3Misc 2Journal 7Unranked 3
YearRankTypeTitle / Venue / Authors
2026 J jnl
The Slow Drift of Support: Boundary Failures in Multi-Turn Mental Health LLM Dialogues.
CoRR
Youyou Cheng, Zhuangwei Kang, Kerry Jiang, Chenyu Sun, Qiyang Pan
2024 Misc conf
A Novel 5G Digital Twin Approach for Traffic Prediction and Elastic Network Slice Management.
COMSNETS
Ziran Min, Ziteng Liu, Zhuangwei Kang, Shuang Zhou, Swapna S. Gokhale, Shashank Shekhar, Charif Mahmoudi, Aniruddha Gokhale
2024 J jnl
Enhancing 5G network slicing for IoT traffic with a novel clustering framework.
Pervasive Mob. Comput.
Ziran Min, Swapna S. Gokhale, Shashank Shekhar, Charif Mahmoudi, Zhuangwei Kang, Yogesh D. Barve, Aniruddha Gokhale
2024 Misc conf
Towards High-Performance Data Loading in Cloud-Native Deep Learning Systems.
COMSNETS
Zhuangwei Kang, Ziran Min, Shuang Zhou, Yogesh D. Barve, Aniruddha Gokhale
2023 B conf
A Classification Framework for IoT Network Traffic Data for Provisioning 5G Network Slices in Smart Computing Applications.
SMARTCOMP
Ziran Min, Swapna S. Gokhale, Shashank Shekhar, Charif Mahmoudi, Zhuangwei Kang, Yogesh D. Barve, Aniruddha Gokhale
2023 J jnl
DMSConfig: Automated Configuration Tuning for Distributed IoT Message Systems Using Deep Reinforcement Learning.
CoRR
Zhuangwei Kang, Yogesh D. Barve, Shunxing Bao, Abhishek Dubey, Aniruddha Gokhale
2023 C conf
Dataset Placement and Data Loading Optimizations for Cloud-Native Deep Learning Workloads.
ISORC
Zhuangwei Kang, Ziran Min, Shuang Zhou, Yogesh D. Barve, Aniruddha Gokhale
2023 C conf
Managing and Optimizing 5G & Beyond Network Resources for Multi-Task Digital Twin Applications in Industry 4.0.
ISORC
Ziran Min, Shuang Zhou, Zhuangwei Kang, Shashank Shekhar, Charif Mahmoudi, Aniruddha S. Gokhale, Aniruddha Gokhale
2022 J jnl
Generative Anomaly Detection for Time Series Datasets.
CoRR
Zhuangwei Kang, Ayan Mukhopadhyay, Aniruddha Gokhale, Shi-Jie Wen, Abhishek Dubey
2022 — conf
Traffic Anomaly Detection Via Conditional Normalizing Flow.
ITSC
Zhuangwei Kang, Ayan Mukhopadhyay, Aniruddha Gokhale, Shi-Jie Wen, Abhishek Dubey
2021 B conf
A Comprehensive Performance Evaluation of Different Kubernetes CNI Plugins for Edge-based and Containerized Publish/Subscribe Applications.
IC2E
Zhuangwei Kang, Kyoungho An, Aniruddha Gokhale, Paul Pazandak
2021 — conf
Configuration Tuning for Distributed IoT Message Systems Using Deep Reinforcement Learning: Poster Abstract.
IoTDI
Zhuangwei Kang, Yogesh D. Barve, Shunxing Bao, Abhishek Dubey, Aniruddha Gokhale
2021 J jnl
EXPPO: EXecution Performance Profiling and Optimization for CPS Co-simulation-as-a-Service.
J. Syst. Archit.
Yogesh D. Barve, Himanshu Neema, Zhuangwei Kang, Harsh Vardhan, Hongyang Sun, Aniruddha Gokhale
2020 C conf
EXPPO: EXecution Performance Profiling and Optimization for CPS Co-simulation-as-a-Service.
ISORC
Yogesh D. Barve, Himanshu Neema, Zhuangwei Kang, Hongyang Sun, Aniruddha Gokhale, Thomas Roth
2019 B conf
BARISTA: Efficient and Scalable Serverless Serving System for Deep Learning Prediction Services.
IC2E
Anirban Bhattacharjee, Ajay Dev Chhokra, Zhuangwei Kang, Hongyang Sun, Aniruddha Gokhale, Gabor Karsai
2019 J jnl
BARISTA: Efficient and Scalable Serverless Serving System for Deep Learning Prediction Services.
CoRR
Anirban Bhattacharjee, Ajay Dev Chhokra, Zhuangwei Kang, Hongyang Sun, Aniruddha Gokhale, Gabor Karsai
2019 B conf
FECBench: A Holistic Interference-aware Approach for Application Performance Modeling.
IC2E
Yogesh D. Barve, Shashank Shekhar, Ajay Chhokra, Shweta Khare, Anirban Bhattacharjee, Zhuangwei Kang, Hongyang Sun, Aniruddha Gokhale
2019 J jnl
FECBench: A Holistic Interference-aware Approach for Application Performance Modeling.
CoRR
Yogesh D. Barve, Shashank Shekhar, Ajay Dev Chhokra, Shweta Khare, Anirban Bhattacharjee, Zhuangwei Kang, Hongyang Sun, Aniruddha Gokhale
2019 — conf
STRATUM: A BigData-as-a-Service for Lifecycle Management of IoT Analytics Applications.
IEEE BigData
Anirban Bhattacharjee, Yogesh D. Barve, Shweta Khare, Shunxing Bao, Zhuangwei Kang, Aniruddha Gokhale, Thomas Damiano