An Evaluation of Two-Stage Systematic Sampling in Micro-Architecture Simulation. - Zhibin Yu 001; Hai Jin 001; Jie Chen (ChinaGrid, 2008)

Identifying Classes via Cognitive Approach in Object-Oriented System. - Zhibin Yu 001; Hai Jin 001 (PACIIA (2), 2008)

TSS: Applying two-stage sampling in micro-architecture simulations. - Zhibin Yu 001; Hai Jin 001; Jian Chen 030; Lizy K. John (MASCOTS, 2009)

Simple and fast micro-architecture simulation: a trisection cantor fractal approach. - Zhibin Yu 001; Hai Jin 001 (SIGMETRICS Perform. Evaluation Rev., 2009)

System-level max power (SYMPO): a systematic approach for escalating system-level power consumption using synthetic benchmarks. - Karthik Ganesan 006; Jungho Jo; William Lloyd Bircher; Dimitris Kaseridis; Zhibin Yu 001; Lizy K. John (PACT, 2010)

MT-BTRIMER: A Master-Slave Multi-threaded Dynamic Binary Translator. - Xuping Tu; Hai Jin 001; Zhibin Yu 001; Jie Chen; Yabin Hu (FCST, 2010)

CantorSim: Simplifying Acceleration of Micro-architecture Simulations. - Zhibin Yu 001; Hai Jin 001; Jian Chen 030; Lizy K. John (MASCOTS, 2010)

Hierarchically characterizing CUDA program behavior. - Zhibin Yu 001; Hai Jin 001; Nilanjan Goswami; Tao Li 006; Lizy K. John (IISWC, 2011)

MT-BTRIMER: A master-slave multi-threaded dynamic binary translator. - Xuping Tu; Hai Jin 001; Zhibin Yu 001; Jie Chen; Yabin Hu; Xia Xie (Comput. Syst. Sci. Eng., 2011)

FractalMRC: Online Cache Miss Rate Curve Prediction on Commodity Systems. - Lulu He; Zhibin Yu 001; Hai Jin 001 (IPDPS, 2012)

A characterization of big data benchmarks. - Wen Xiong; Zhibin Yu 001; Zhendong Bei; Juanjuan Zhao; Fan Zhang 019; Yubin Zou; Xue Bai; Ye Li 002; Cheng-Zhong Xu 001 (IEEE BigData, 2013)

Application-Aware Workload Consolidation to Minimize Both Energy Consumption and Network Load in Cloud Environments. - Nikos Tziritas; Cheng-Zhong Xu 001; Thanasis Loukopoulos; Samee Ullah Khan; Zhibin Yu 001 (ICPP, 2013)

Accelerating GPGPU architecture simulation. - Zhibin Yu 001; Lieven Eeckhout; Nilanjan Goswami; Tao Li 006; Lizy Kurian John; Hai Jin 001; Cheng-Zhong Xu 001 (SIGMETRICS, 2013)

PCantorSim: Accelerating parallel architecture simulation through fractal-based sampling. - Chuntao Jiang; Zhibin Yu 001; Hai Jin 001; Cheng-Zhong Xu 001; Lieven Eeckhout; Wim Heirman; Trevor E. Carlson; Xiaofei Liao (ACM Trans. Archit. Code Optim., 2013)

A comparative study on resource allocation and energy efficient job scheduling strategies in large-scale parallel computing systems. - Aftab Ahmed Chandio; Kashif Bilal; Nikos Tziritas; Zhibin Yu 001; Qingshan Jiang; Samee Ullah Khan; Cheng-Zhong Xu 001 (Clust. Comput., 2014)

Shorter On-Line Warmup for Sampled Simulation of Multi-threaded Applications. - Chuntao Jiang; Zhibin Yu 001; Hai Jin 001; Xiaofei Liao; Lieven Eeckhout; Yonggang Zeng; Cheng-Zhong Xu 001 (ICPP, 2015)

SZTS: A Novel Big Data Transportation System Benchmark Suite. - Wen Xiong; Zhibin Yu 001; Lieven Eeckhout; Zhengdong Bei; Fan Zhang 019; Cheng-Zhong Xu 001 (ICPP, 2015)

GPGPU-MiniBench: Accelerating GPGPU Micro-Architecture Simulation. - Zhibin Yu 001; Lieven Eeckhout; Nilanjan Goswami; Tao Li 006; Lizy K. John; Hai Jin 001; Cheng-Zhong Xu 001; Junmin Wu (IEEE Trans. Computers, 2015)

Performance Modeling for Spark Using SVM. - Ni Luo; Zhibin Yu 001; Zhendong Bei; Chengzhong Xu 001; Chuntao Jiang; Lingfeng Lin (CCBD, 2016)

Thread Similarity Matrix: Visualizing Branch Divergence in GPGPU Programs. - Zhibin Yu 001; Lieven Eeckhout; Cheng-Zhong Xu 001 (ICPP, 2016)

Barrier-Aware Warp Scheduling for Throughput Processors. - Yuxi Liu; Zhibin Yu 001; Lieven Eeckhout; Vijay Janapa Reddi; Yingwei Luo; Xiaolin Wang 001; Zhenlin Wang; Cheng-Zhong Xu 001 (ICS, 2016)

QIM: Quantifying Hyperparameter Importance for Deep Learning. - Dan Jia; Rui Wang 014; Cheng-Zhong Xu 001; Zhibin Yu 001 (NPC, 2016)

Two-Level Hybrid Sampled Simulation of Multithreaded Applications. - Chuntao Jiang; Zhibin Yu 001; Lieven Eeckhout; Hai Jin 001; Xiaofei Liao; Cheng-Zhong Xu 001 (ACM Trans. Archit. Code Optim., 2016)

ShenZhen transportation system (SZTS): a novel big data benchmark suite. - Wen Xiong; Zhibin Yu 001; Lieven Eeckhout; Zhengdong Bei; Fan Zhang 019; Cheng-Zhong Xu 001 (J. Supercomput., 2016)

RFHOC: A Random-Forest Approach to Auto-Tuning Hadoop's Configuration. - Zhendong Bei; Zhibin Yu 001; Huiling Zhang; Wen Xiong; Cheng-Zhong Xu 001; Lieven Eeckhout; Shengzhong Feng (IEEE Trans. Parallel Distributed Syst., 2016)

POSTER: BACM: Barrier-Aware Cache Management for Irregular Memory-Intensive GPGPU Workloads. - Yuxi Liu; Xia Zhao 004; Zhibin Yu 001; Zhenlin Wang; Xiaolin Wang 001; Yingwei Luo; Lieven Eeckhout (PACT, 2017)

An Experimental Comparison Between Genetic Algorithm and Particle Swarm Optimization in Spark Performance Tuning. - Yuzhao Wang; Qixiao Liu; Junqing Yu; Zhibin Yu 001 (ETCD@ASPLOS, 2017)

BACM: Barrier-Aware Cache Management for Irregular Memory-Intensive GPGPU Workloads. - Yuxi Liu; Xia Zhao 004; Zhibin Yu 001; Zhenlin Wang; Xiaolin Wang 001; Yingwei Luo; Lieven Eeckhout (ICCD, 2017)

MEST: A Model-Driven Efficient Searching Approach for MapReduce Self-Tuning. - Zhendong Bei; Zhibin Yu 001; Qixiao Liu; Cheng-Zhong Xu 001; Shengzhong Feng; Shuang Song (IEEE Access, 2017)

ATH: Auto-Tuning HBase's Configuration via Ensemble Learning. - Wen Xiong; Zhengdong Bei; Chengzhong Xu 001; Zhibin Yu 001 (IEEE Access, 2017)

Datasize-Aware High Dimensional Configurations Auto-Tuning of In-Memory Cluster Computing. - Zhibin Yu 001; Zhendong Bei; Xuehai Qian (ASPLOS, 2018)

The Elasticity and Plasticity in Semi-Containerized Co-locating Cloud Workload: a View from Alibaba Trace. - Qixiao Liu; Zhibin Yu 001 (SoCC, 2018)

CounterMiner: Mining Big Performance Data from Hardware Counters. - Yirong Lv; Bin Sun; Qingyi Luo; Jing Wang 055; Zhibin Yu 001; Xuehai Qian (MICRO, 2018)

Configuring in-memory cluster computing using random forest. - Zhendong Bei; Zhibin Yu 001; Ni Luo; Chuntao Jiang; Chengzhong Xu 001; Shengzhong Feng (Future Gener. Comput. Syst., 2018)

QIG: Quantifying the Importance and Interaction of GPGPU Architecture Parameters. - Zhibin Yu 001; Jing Wang 055; Lieven Eeckhout; Chengzhong Xu 001 (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2018)

MIA: Metric Importance Analysis for Big Data Workload Characterization. - Zhibin Yu 001; Wen Xiong; Lieven Eeckhout; Zhendong Bei; Avi Mendelson; Chengzhong Xu 001 (IEEE Trans. Parallel Distributed Syst., 2018)

SMHC: A Synthetic Metric for Heterogeneous Resources in Cloud Computing. - Lele Li; Zhibin Yu 001 (ICBDC, 2019)

SLFAG: Scan Line Fill Algorithm for PCB Image Rasterization Based on GPGPU. - Lingfeng Lin; Dengji Gao; Zhibin Yu 001 (ICBDC, 2019)

TPShare: a time-space sharing scheduling abstraction for shared cloud via vertical labels. - Yuzhao Wang; Lele Li; You Wu 006; Junqing Yu; Zhibin Yu 001; Xuehai Qian (ISCA, 2019)

Adaptive memory-side last-level GPU caching. - Xia Zhao 004; Almutaz Adileh; Zhibin Yu 001; Zhiying Wang 003; Aamer Jaleel; Lieven Eeckhout (ISCA, 2019)

Accelerating Compact Convolutional Neural Networks with Multi-threaded Data Streaming. - Weiguang Chen; Zheng Wang 027; Shanliao Li; Zhibin Yu 001; Huijuan Li (ISVLSI, 2019)

Green-Up: under-provisioning power backup infrastructure for green datacenters. - Xu Zhou; Zhibin Yu 001 (CCF Trans. High Perform. Comput., 2019)

MiC: Multi-level Characterization and Optimization of GPGPU Kernels. - Qixiao Liu; Zhifeng Chen; Zhibin Yu 001 (ACM J. Emerg. Technol. Comput. Syst., 2019)

On the Auto-Tuning of Elastic-search based on Machine Learning. - Zhenyan Lu; Chao Chen 022; Jinhan Xin; Zhibin Yu 001 (CCRIS, 2020)

BBS: Micro-Architecture Benchmarking Blockchain Systems through Machine Learning and Fuzzy Set. - Liang Zhu; Chao Chen 022; Zihao Su; Weiguang Chen; Tao Li 006; Zhibin Yu 001 (HPCA, 2020)

Accelerating Atrous Convolution with Fetch-and-Jump Architecture for Activation Positioning. - Zhuo Wang; Zheng Wang 027; Bo Dong; Chao Chen 022; Yongkui Yang; Zhibin Yu 001 (ICTA, 2020)

vMobiDesk: Desktop Virtualization for Mobile Operating Systems. - Kui Su; Peiyu Liu 003; Liang Gu; Wenzhi Chen; Kai Hwang 001; Zhibin Yu 001 (IEEE Access, 2020)

Thread-Level Locking for SIMT Architectures. - Lan Gao; Yunlong Xu; Rui Wang 014; Zhongzhi Luan; Zhibin Yu 001; Depei Qian (IEEE Trans. Parallel Distributed Syst., 2020)

COPA: Highly Cost-Effective Power Back-Up for Green Datacenters. - Yan Yin; Junmin Wu; Xu Zhou; Lieven Eeckhout; Amer Qouneh; Tao Li 006; Zhibin Yu 001 (IEEE Trans. Parallel Distributed Syst., 2020)

Para: Harvesting CPU time fragments in Big Data Analytics. - Yuzhao Wang; Hongliang Qu; Junqing Yu; Zhibin Yu 001 (CLOUD, 2021)

Improving system latency of AI accelerator with on-chip pipelined activation preprocessing and multi-mode batch inference. - Wenxuan Chen; Zheng Wang 027; Ming Lei; Bo Dong; Zhuo Wang; Yongkui Yang; Chao Chen 022; Weiyu Guo; Chen Liang; Qian Zhang; Wenqi Fang; Zhibin Yu 001 (AICAS, 2021)

OR-ML: Enhancing Reliability for Machine Learning Accelerator with Opportunistic Redundancy. - Bo Dong; Zheng Wang 027; Wenxuan Chen; Chao Chen 022; Yongkui Yang; Zhibin Yu 001 (DATE, 2021)

CNN-DMA: A Predictable and Scalable Direct Memory Access Engine for Convolutional Neural Network with Sliding-window Filtering. - Zheng Wang 027; Zhuo Wang; Jian Liao; Chao Chen 022; Yongkui Yang; Bo Dong; Weiguang Chen; Wenxuan Chen; Ming Lei; Weiyu Guo; Rui Chen; Yi Peng; et al. (ACM Great Lakes Symposium on VLSI, 2021)

QIHE: Quantifying the Importance of Hardware Events with Respect to Performance of Mobile Processors. - Chenghao Ouyang; Qiannan Wang; Zhibin Yu 001 (ICBDC, 2021)

Treator: a Fast Centralized Cluster Scheduling at Scale Based on B+ Tree and BSP. - Yuzhao Wang; Junqing Yu; Zhibin Yu 001 (ISPA/BDCloud/SocialCom/SustainCom, 2021)

EnTiered-ReRAM: An Enhanced Low Latency and Energy Efficient TLC Crossbar ReRAM Architecture. - Yang Zhang 051; Zhibin Yu 001; Liang Gu; Chengning Wang; Dan Feng 001 (IEEE Access, 2021)

Democratic learning: hardware/software co-design for lightweight blockchain-secured on-device machine learning. - Rui Zhang; Mingcong Song; Tao Li 006; Zhibin Yu 001; Yuting Dai; Xiaoguang Liu 001; Gang Wang 001 (J. Syst. Archit., 2021)

GML: Efficiently Auto-Tuning Flink's Configurations Via Guided Machine Learning. - Yijin Guo; Huasong Shan; Shixin Huang; Kai Hwang 001; Jianping Fan 002; Zhibin Yu 001 (IEEE Trans. Parallel Distributed Syst., 2021)

LOCAT: Low-Overhead Online Configuration Auto-Tuning of Spark SQL Applications. - Jinhan Xin; Kai Hwang 001; Zhibin Yu 001 (SIGMOD Conference, 2022)

LOCAT: Low-Overhead Online Configuration Auto-Tuning of Spark SQL Applications [Extended Version]. - Jinhan Xin; Kai Hwang 001; Zhibin Yu 001 (CoRR, 2022)

SOCA-DOM: A Mobile System-on-Chip Array System for Analyzing Big Data on the Move. - Le-Le Li; Jiang-Yi Liu; Jianping Fan 002; Xuehai Qian; Kai Hwang 001; Yeh-Ching Chung; Zhibin Yu 001 (J. Comput. Sci. Technol., 2022)

OSC: An Online Self-Configuring Big Data Framework for Optimization of QoS. - Zhendong Bei; Nam Sung Kim; Kai Hwang 001; Zhibin Yu 001 (IEEE Trans. Computers, 2022)

Accelerating path tracing rendering with Multi-GPU in Blender cycles. - Jiuyi Chen; Ling Chen; Zhibin Yu 001 (ICACT, 2023)

PAC: Preference-Aware Co-location Scheduling on Heterogeneous NUMA Architectures To Improve Resource Utilization. - Pu Pang; Yaoxuan Li; Bo Liu; Quan Chen 002; Zhou Yu 003; Zhibin Yu 001; Deze Zeng; Jingwen Leng; Jieru Zhao; Minyi Guo (ICS, 2023)

Resource scheduling techniques in cloud from a view of coordination: a holistic survey. - Yuzhao Wang; Junqing Yu; Zhibin Yu 001 (Frontiers Inf. Technol. Electron. Eng., 2023)

WASP: Workload-Aware Self-Replicating Page-Tables for NUMA Servers. - Hongliang Qu; Zhibin Yu 001 (ASPLOS (2), 2024)

Guser: A GPGPU Power Stressmark Generator. - Yalong Shan; Yongkui Yang; Xuehai Qian; Zhibin Yu 001 (HPCA, 2024)

Global-State Aware Automatic NUMA Balancing. - Jianguo Liu; Zhibin Yu 001 (Internetware, 2024)

TIE: Fast Experiment-Driven ML-Based Configuration Tuning for In-Memory Data Analytics. - Chao Chen 022; Jinhan Xin; Zhibin Yu 001 (IEEE Trans. Computers, 2024)

Falic: An FPGA-Based Multi-Scalar Multiplication Accelerator for Zero-Knowledge Proof. - Yongkui Yang; Zhenyan Lu; Jingwei Zeng; Xingguo Liu; Xuehai Qian; Zhibin Yu 001 (IEEE Trans. Computers, 2024)

Satisfying Energy-Efficiency Constraints for Mobile Systems. - Xueliang Li 002; Shicong Hong; Junyang Chen 001; Junkai Ji; Chengwen Luo 001; Guihai Yan; Zhibin Yu 001; Jianqiang Li 001 (IEEE Trans. Mob. Comput., 2024)

AMALI: An Analytical Model for Accurately Modeling LLM Inference on Modern GPUs. - Shiheng Cao; Junmin Wu; Junshi Chen; Hong An; Zhibin Yu 001 (ISCA, 2025)

Swift: Fast Performance Tuning with GAN-Generated Configurations. - Chao Chen 022; Shixin Huang; Xuehai Qian; Zhibin Yu 001 (USENIX ATC, 2025)

Constructing a Supplementary Benchmark Suite to Represent Android Applications with User Interactions by using Performance Counters. - Chenghao Ouyang; Jinhan Xin; Siqi Zeng 002; Guohui Li 001; Jianjun Li; Zhibin Yu 001 (ACM Trans. Archit. Code Optim., 2025)