Self-Tuning Batching with DVFS for Improving Performance and Energy Efficiency in Servers. - Dazhao Cheng; Yanfei Guo; Xiaobo Zhou 002 (MASCOTS, 2013)

Heterogeneity-Aware Workload Placement and Migration in Distributed Sustainable Datacenters. - Dazhao Cheng; Changjun Jiang; Xiaobo Zhou 002 (IPDPS, 2014)

Improving MapReduce performance in heterogeneous environments with adaptive task tuning. - Dazhao Cheng; Jia Rao; Yanfei Guo; Xiaobo Zhou 002 (Middleware, 2014)

Towards Energy Efficiency in Heterogeneous Hadoop Clusters by Adaptive Task Assignment. - Dazhao Cheng; Palden Lama; Changjun Jiang; Xiaobo Zhou 002 (ICDCS, 2015)

StoreApp: A shared storage appliance for efficient and scalable virtualized Hadoop clusters. - Yanfei Guo; Jia Rao; Dazhao Cheng; Changjun Jiang; Cheng-Zhong Xu 001; Xiaobo Zhou 002 (INFOCOM, 2015)

Resource and Deadline-Aware Job Scheduling in Dynamic Hadoop Clusters. - Dazhao Cheng; Jia Rao; Changjun Jiang; Xiaobo Zhou 002 (IPDPS, 2015)

Self-Tuning Batching with DVFS for Performance Improvement and Energy Efficiency in Internet Servers. - Dazhao Cheng; Yanfei Guo; Changjun Jiang; Xiaobo Zhou 002 (ACM Trans. Auton. Adapt. Syst., 2015)

Elastic Power-Aware Resource Provisioning of Heterogeneous Workloads in Self-Sustainable Datacenters. - Dazhao Cheng; Jia Rao; Changjun Jiang; Xiaobo Zhou 002 (IEEE Trans. Computers, 2016)

Adaptive scheduling of parallel jobs in spark streaming. - Dazhao Cheng; Yuan Chen 001; Xiaobo Zhou 002; Daniel Gmach; Dejan S. Milojicic (INFOCOM, 2017)

Cross-Platform Resource Scheduling for Spark and MapReduce on YARN. - Dazhao Cheng; Xiaobo Zhou 002; Palden Lama; Jun Wu 006; Changjun Jiang (IEEE Trans. Computers, 2017)

Improving Performance of Heterogeneous MapReduce Clusters with Adaptive Task Tuning. - Dazhao Cheng; Jia Rao; Yanfei Guo; Changjun Jiang; Xiaobo Zhou 002 (IEEE Trans. Parallel Distributed Syst., 2017)

iShuffle: Improving Hadoop Performance with Shuffle-on-Write. - Yanfei Guo; Jia Rao; Dazhao Cheng; Xiaobo Zhou 002 (IEEE Trans. Parallel Distributed Syst., 2017)

Reference-distance Eviction and Prefetching for Cache Management in Spark. - Tiago B. G. Perez; Xiaobo Zhou 002; Dazhao Cheng (ICPP, 2018)

Joint Optimization of MapReduce Scheduling and Network Policy in Hierarchical Clouds. - Donglin Yang; Wei Rang; Dazhao Cheng (ICPP, 2018)

Performance Isolation of Data-Intensive Scale-out Applications in a Multi-tenant Cloud. - Palden Lama; Shaoqi Wang; Xiaobo Zhou 002; Dazhao Cheng (IPDPS, 2018)

Energy Efficiency Aware Task Assignment with DVFS in Heterogeneous Hadoop Clusters. - Dazhao Cheng; Xiaobo Zhou 002; Palden Lama; Mike Ji; Changjun Jiang (IEEE Trans. Parallel Distributed Syst., 2018)

Adaptive Scheduling Parallel Jobs with Dynamic Batching in Spark Streaming. - Dazhao Cheng; Xiaobo Zhou 002; Yu Wang 003; Changjun Jiang (IEEE Trans. Parallel Distributed Syst., 2018)

Elastic Executor Provisioning for Iterative Workloads on Apache Spark. - Donglin Yang; Wei Rang; Dazhao Cheng; Yu Wang 003; Jiannan Tian; Dingwen Tao (IEEE BigData, 2019)

Heterogeneity Aware Workload Management in Distributed Sustainable Datacenters. - Dazhao Cheng; Xiaobo Zhou 002; Zhijun Ding; Yu Wang 003; Mike Ji (IEEE Trans. Parallel Distributed Syst., 2019)

Deadline-Aware MapReduce Job Scheduling with Dynamic Resource Availability. - Dazhao Cheng; Xiaobo Zhou 002; Yinggen Xu; Liu Liu; Changjun Jiang (IEEE Trans. Parallel Distributed Syst., 2019)

A Shared Memory Cache Layer across Multiple Executors in Apache Spark. - Wei Rang; Donglin Yang; Dazhao Cheng (IEEE BigData, 2020)

Data Life Aware Model Updating Strategy for Stream-based Online Deep Learning. - Wei Rang; Donglin Yang; Dazhao Cheng; Kun Suo; Wei Chen 038 (CLUSTER, 2020)

Efficient GPU Memory Management for Nonlinear DNNs. - Donglin Yang; Dazhao Cheng (HPDC, 2020)

Mitigating Stragglers in the Decentralized Training on Heterogeneous Clusters. - Donglin Yang; Wei Rang; Dazhao Cheng (Middleware, 2020)

waveSZ: a hardware-algorithm co-design of efficient lossy compression for scientific data. - Jiannan Tian; Sheng Di; Chengming Zhang 006; Xin Liang 001; Sian Jin; Dazhao Cheng; Dingwen Tao; Franck Cappello (PPoPP, 2020)

Tackling Cold Start in Serverless Computing with Container Runtime Reusing. - Kun Suo; Yong Shi 002; Xiaohua Xu 002; Dazhao Cheng; Wei Chen 038 (NAI@SIGCOMM, 2020)

Scalable Data Management on Hybrid Memory System for Deep Neural Network Applications. - Wei Rang; Donglin Yang; Zhimin Li; Dazhao Cheng (IEEE BigData, 2021)

Tackling Cold Start of Serverless Applications by Efficient and Adaptive Container Runtime Reusing. - Kun Suo; Junggab Son; Dazhao Cheng; Wei Chen 038; Sabur Baidya (CLUSTER, 2021)

Privacy-Preserving Participant Grouping for Mobile Social Sensing Over Edge Clouds. - Ting Li 010; Zhijin Qiu; Lijuan Cao; Dazhao Cheng; Weichao Wang; Xinghua Shi; Yu Wang 003 (IEEE Trans. Netw. Sci. Eng., 2021)

Data Life Aware Model Updating Strategy for Stream-Based Online Deep Learning. - Wei Rang; Donglin Yang; Dazhao Cheng; Yu Wang 003 (IEEE Trans. Parallel Distributed Syst., 2021)

VCSR: Mutable CSR Graph Format Using Vertex-Centric Packed Memory Array. - Abdullah Al Raqibul Islam; Dong Dai 001; Dazhao Cheng (CCGRID, 2022)

Spread: Decentralized Model Aggregation for Scalable Federated Learning. - Chuang Hu; Huanghuang Liang; Xiao Ming Han; Boan Liu; Dazhao Cheng; Dan Wang 002 (ICPP, 2022)

BLISS: Robust Sequence-to-Sequence Learning via Self-Supervised Input Representation. - Zheng Zhang 036; Liang Ding 006; Dazhao Cheng; Xuebo Liu 002; Min Zhang 005; Dacheng Tao (CoRR, 2022)

Joint Optimization of MapReduce Scheduling and Network Policy in Hierarchical Data Centers. - Donglin Yang; Dazhao Cheng; Wei Rang; Yu Wang 003 (IEEE Trans. Cloud Comput., 2022)

Redundancy-Free High-Performance Dynamic GNN Training with Hierarchical Pipeline Parallelism. - Yaqi Xia; Zheng Zhang 036; Hulin Wang; Donglin Yang; Xiaobo Zhou 002; Dazhao Cheng (HPDC, 2023)

MPipeMoE: Memory Efficient MoE for Pre-trained Models with Adaptive Pipeline Parallelism. - Zheng Zhang 036; Donglin Yang; Yaqi Xia; Liang Ding 006; Dacheng Tao; Xiaobo Zhou 002; Dazhao Cheng (IPDPS, 2023)

Dynamic Resource Provisioning for Iterative Workloads on Apache Spark. - Dazhao Cheng; Yu Wang 003; Dong Dai 001 (IEEE Trans. Cloud Comput., 2023)

DNN Surgery: Accelerating DNN Inference on the Edge Through Layer Partitioning. - Huanghuang Liang; Qianlong Sang; Chuang Hu; Dazhao Cheng; Xiaobo Zhou 002; Dan Wang 002; Wei Bao 001; Yu Wang 003 (IEEE Trans. Cloud Comput., 2023)

Joint Optimization Across Timescales: Resource Placement and Task Dispatching in Edge Clouds. - Xinliang Wei; A. B. M. Mohaimenur Rahman; Dazhao Cheng; Yu Wang 003 (IEEE Trans. Cloud Comput., 2023)

TAPU: A Transmission-Analytics Processing Unit for Accelerating Multifunctions in IoT Gateways. - Huanghuang Liang; Qianlong Sang; Chuang Hu; Yili Gong; Dazhao Cheng; Xiaobo Zhou 002; Yu Wang 003 (IEEE Internet Things J., 2023)

An Edge-Side Real-Time Video Analytics System With Dual Computing Resource Control. - Chuang Hu; Rui Lu; Qianlong Sang; Huanghuang Liang; Dan Wang 002; Dazhao Cheng; Jin Zhang 001; Qing Li 006; Junkun Peng (IEEE Trans. Computers, 2023)

Federated Spectrum Management Through Hedonic Coalition Formation. - Zhili He; Tianyu Tu; Kanye Ye Wang; Bing Luo; Dazhao Cheng; Chuang Hu (APNet, 2024)

Diversifying the Mixture-of-Experts Representation for Language Models with Orthogonal Optimizer. - Boan Liu; Liang Ding 006; Li Shen 008; Keqin Peng; Yu Cao 014; Dazhao Cheng; Dacheng Tao (ECAI, 2024)

Finestra: Multi-aggregator Swarm Learning for Gradient Leakage Defense. - Hangkit Choi; Junxuan Liao; Yuming Xiong; Yili Gong; Chuang Hu; Dazhao Cheng (ICA3PP (4), 2024)

Improving User Experience via Reinforcement Learning-Based Resource Management on Mobile Devices. - Yufan Lu; Chuang Hu; Yili Gong; Dazhao Cheng (ICIC (2), 2024)

JediGAN: A Fully Decentralized Training of GAN with Adaptive Discriminator Averaging and Generator Selection. - Xiaoming Han; Boan Liu; Dazhao Cheng (NPC (1), 2024)

Accelerating Distributed DLRM Training with Optimized TT Decomposition and Micro-Batching. - Weihu Wang; Yaqi Xia; Donglin Yang; Xiaobo Zhou 002; Dazhao Cheng (SC, 2024)

Scaling New Heights: Transformative Cross-GPU Sampling for Training Billion-Edge Graphs. - Yaqi Xia; Donglin Yang; Xiaobo Zhou 002; Dazhao Cheng (SC, 2024)

MCFuser: High-Performance and Rapid Fusion of Memory-Bound Compute-Intensive Operators. - Zheng Zhang 036; Donglin Yang; Xiaobo Zhou 002; Dazhao Cheng (SC, 2024)

Expeditious High-Concurrency MicroVM SnapStart in Persistent Memory with an Augmented Hypervisor. - Xingguo Pang; Yanze Zhang; Liu Liu; Dazhao Cheng; Chengzhong Xu 001; Xiaobo Zhou 002 (USENIX ATC, 2024)

Corrections to "DNN Surgery: Accelerating DNN Inference on the Edge through Layer Partitioning". - Huanghuang Liang; Qianlong Sang; Chuang Hu; Dazhao Cheng; Xiaobo Zhou 002; Dan Wang 002; Wei Bao 001; Yu Wang 003 (IEEE Trans. Cloud Comput., 2024)

Locality-Aware and Fault-Tolerant Batching for Machine Learning on Distributed Datasets. - Liu Liu; Zhijun Ding; Dazhao Cheng; Xiaobo Zhou 002 (IEEE Trans. Cloud Comput., 2024)

A unified hybrid memory system for scalable deep learning and big data applications. - Wei Rang; Huanghuang Liang; Ye Wang 017; Xiaobo Zhou 002; Dazhao Cheng (J. Parallel Distributed Comput., 2024)

A Survey on Spatio-Temporal Big Data Analytics Ecosystem: Resource Management, Processing Platform, and Applications. - Huanghuang Liang; Zheng Zhang 036; Chuang Hu; Yili Gong; Dazhao Cheng (IEEE Trans. Big Data, 2024)

SLO-Aware Function Placement for Serverless Workflows With Layer-Wise Memory Sharing. - Dazhao Cheng; Kai Yan; Xinquan Cai; Yili Gong; Chuang Hu (IEEE Trans. Parallel Distributed Syst., 2024)

MPMoE: Memory Efficient MoE for Pre-Trained Models With Adaptive Pipeline Parallelism. - Zheng Zhang 036; Yaqi Xia; Hulin Wang; Donglin Yang; Chuang Hu; Xiaobo Zhou 002; Dazhao Cheng (IEEE Trans. Parallel Distributed Syst., 2024)

Incendio: Priority-Based Scheduling for Alleviating Cold Start in Serverless Computing. - Xinquan Cai; Qianlong Sang; Chuang Hu; Yili Gong; Kun Suo; Xiaobo Zhou 002; Dazhao Cheng (IEEE Trans. Computers, 2024)

Raptor-T: A Fused and Memory-Efficient Sparse Transformer for Long and Variable-Length Sequences. - Hulin Wang; Donglin Yang; Yaqi Xia; Zheng Zhang 036; Qigang Wang; Jianping Fan 007; Xiaobo Zhou 002; Dazhao Cheng (IEEE Trans. Computers, 2024)

Controlling Aluminum Strip Thickness by Clustered Reinforcement Learning With Real-World Dataset. - Ziqi Xiao; Zhili He; Huanghuang Liang; Chuang Hu; Dazhao Cheng (IEEE Trans. Ind. Informatics, 2024)

Opca: Enabling Optimistic Concurrent Access for Multiple Users in Oblivious Data Storage. - Yuezhi Che; Dazhao Cheng; Xiao Wang 012; Rujia Wang (IEEE Trans. Parallel Distributed Syst., 2024)

Redundancy-Free and Load-Balanced TGNN Training With Hierarchical Pipeline Parallelism. - Yaqi Xia; Zheng Zhang 036; Donglin Yang; Chuang Hu; Xiaobo Zhou 002; Hongyang Chen; Qianlong Sang; Dazhao Cheng (IEEE Trans. Parallel Distributed Syst., 2024)

DeepTM: Efficient Tensor Management in Heterogeneous Memory for DNN Training. - Haoran Zhou; Wei Rang; Hongyang Chen; Xiaobo Zhou 002; Dazhao Cheng (IEEE Trans. Parallel Distributed Syst., 2024)

Tackling Multiplayer Interaction for Federated Generative Adversarial Networks. - Chuang Hu; Tianyu Tu; Yili Gong; Jiawei Jiang 001; Zhigao Zheng 001; Dazhao Cheng (IEEE Trans. Mob. Comput., 2024)

QoS-Aware Power Management via Scheduling and Governing Co-Optimization on Mobile Devices. - Qianlong Sang; Jinqi Yan; Rui Xie; Chuang Hu; Kun Suo; Dazhao Cheng (IEEE Trans. Mob. Comput., 2024)

Understanding the Challenges Students Face in Non-English Programming Environments Due to the Programming Language Transition: A Case Study of Keywords in the Chinese Version of Scratch. - Siyu Wang; Janice Jianing Si; Huanghuang Liang; Chuang Hu; Yujun Zhu; Xiaobo Zhou 002; Kanye Ye Wang; Dazhao Cheng (CHI, 2025)

Defending against Attribute Inference Attacks in Post-Training of Recommendation Systems via Unlearning. - Wenhan Wu; Yili Gong; Jiawei Jiang 001; Chuang Hu; Xiaobo Zhou 002; Dazhao Cheng (ICDE, 2025)

Harnessing Inter-GPU Shared Memory for Seamless MoE Communication-Computation Fusion. - Hulin Wang; Yaqi Xia; Donglin Yang; Xiaobo Zhou 002; Dazhao Cheng (PPoPP, 2025)

Voltrix: Sparse Matrix-Matrix Multiplication on Tensor Cores with Asynchronous and Balanced Kernel Optimization. - Yaqi Xia; Weihu Wang; Donglin Yang; Xiaobo Zhou 002; Dazhao Cheng (USENIX ATC, 2025)

Intelligent Welding System for Aluminum Coils by Adaptive Path Planning with Real-world Dataset. - Xiaowei Huang; Huanghuang Liang; Zhili He; Sihan Feng; Jiawei Jiang 001; Kanye Ye Wang; Chuang Hu; Dazhao Cheng (WWW (Companion Volume), 2025)

Toward Lifelong Unseen Task Processing With a Lightweight Unlabeled Data Schema for AIoT. - Tianyu Tu; Zhili He; Zhigao Zheng 001; Zimu Zheng; Jiawei Jiang 001; Yili Gong; Chuang Hu; Dazhao Cheng (IEEE Internet Things J., 2025)

Priva: privacy reversible and intelligible video analytics system through diffusion restoration models. - Hanqi Feng; Chuang Hu; Dazhao Cheng (J. Electronic Imaging, 2025)

GVA: general content-aware feature map reusing structure for edge-side video analytics. - Yuqing Zhang; Chuang Hu; Dazhao Cheng (J. Electronic Imaging, 2025)

OWL: Worker-assisted server bandwidth optimization for efficient communication federated learning. - Xiaoming Han; Boan Liu; Chuang Hu; Dazhao Cheng (J. Parallel Distributed Comput., 2025)

PriFairFed: A Local Differentially Private Federated Learning Algorithm for Client-Level Fairness. - Chuang Hu; Nanxi Wu; Siping Shi; Xuan Liu; Bing Luo; Kanye Ye Wang; Jiawei Jiang 001; Dazhao Cheng (IEEE Trans. Mob. Comput., 2025)

Featherlight Stateful WebAssembly for Serverless Inference Workflows. - Xingguo Pang; Liu Liu; Yanze Zhang; Zhuofu Chen; Zhijun Ding; Dazhao Cheng; Xiaobo Zhou 002 (IEEE Trans. Parallel Distributed Syst., 2025)

Streamlining Data Transfer in Collaborative SLAM Through Bandwidth-Aware Map Distillation. - Rui Ge 010; Huanghuang Liang; Zheng Gong; Chuang Hu; Xiaobo Zhou 002; Dazhao Cheng (IEEE Trans. Mob. Comput., 2025)