Illumination Variation in Images in Independent Component Analysis and Principal Component Analysis Subspaces. - Zhen Zheng; Yan-Xin Zhang (ISDA (2), 2006)

A pilot study on simulation of Ultrasound from MRI using ray-based model. - Wenjian Qin; Tiexiang Wen; Zhen Zheng; Zhicheng Li 001; Weisong Li; Xiang Fang; Ying Ji; Jia Gu (BHI, 2012)

Hybrid Synchronization of Two Delayed Systems with Uncertain Parameters. - Zhen Zheng; Manchun Tan; Qunfang Wang (ISNN (1), 2012)

MIMO channel estimation based on distributed compressed sensing for LTE-advanced. - Lijuan Xu; Kai Niu 001; Zhiqiang He 001; Wenbo Xu 003; Zhen Zheng (ICICS, 2013)

Holistic Modeling and Performance Evaluation for Converged Network-Cloud Service Provisioning. - Qiang Duan; Zhen Zheng (AINA, 2014)

Refactoring and optimizing the community atmosphere model (CAM) on the sunway taihulight supercomputer. - Haohuan Fu; Junfeng Liao; Wei Xue 003; Lanning Wang; Dexun Chen; Long Gu; Jinxiu Xu 001; Nan Ding 006; Xinliang Wang; Conghui He; Shizhen Xu; Yishuang Liang; et al. (SC, 2016)

Versapipe: a versatile programming framework for pipelined computing on GPU. - Zhen Zheng; Chanyoung Oh; Jidong Zhai; Xipeng Shen; Youngmin Yi; Wenguang Chen (MICRO, 2017)

Optimization design of multi-sided reflecting prism in laser line scanning imaging system. - Hailu Yuan; Bingting Zha; Zhen Zheng; Deli Wang (ICIA, 2018)

The Influence of Cambered Optical Fairing on the Light Beam of Underwater Laser Fuze. - Bingting Zha; Youshi Xuchen; Zhen Zheng (ICIA, 2018)

Design of Combined Receiving Lens for Panoramic Laser Fuze Detection. - Zhen Zheng; Bingting Zha; Youshi Xuchen; Hailu Yuan (ICIA, 2018)

HiWayLib: A Software Framework for Enabling High Performance Communications for Heterogeneous Pipeline Computations. - Zhen Zheng; Chanyoung Oh; Jidong Zhai; Xipeng Shen; Youngmin Yi; Wenguang Chen (ASPLOS, 2019)

Adaptive Edge Detection Algorithm Based on Grey Entropy Theory and Textural Features. - Zhen Zheng; Bingting Zha; Youshi Xuchen; Hailu Yuan; Yanliang Gao; He Zhang (IEEE Access, 2019)

The construction of fuzzy concept lattice based on weighted complete graph. - Hua Mao; Zhen Zheng (J. Intell. Fuzzy Syst., 2019)

GOPipe: A Granularity-Oblivious Programming Framework for Pipelined Stencil Executions on GPU. - Chanyoung Oh; Zhen Zheng; Xipeng Shen; Jidong Zhai; Youngmin Yi (PACT, 2020)

Optimizing distributed training deployment in heterogeneous GPU clusters. - Xiaodong Yi 001; Shiwei Zhang 002; Ziyue Luo; Guoping Long; Lansong Diao; Chuan Wu 001; Zhen Zheng; Jun Yang 052; Wei Lin 016 (CoNEXT, 2020)

Adaptive Edge Detection Algorithm Based on Improved Grey Prediction Model. - Zhen Zheng; Bingting Zha; Hailu Yuan; Youshi Xuchen; Yanliang Gao; He Zhang (IEEE Access, 2020)

Auto-MAP: A DQN Framework for Exploring Distributed Execution Plans for DNN Workloads. - Siyu Wang; Yi Rong; Shiqing Fan; Zhen Zheng; Lansong Diao; Guoping Long; Jun Yang 052; Xiaoyong Liu; Wei Lin 016 (CoRR, 2020)

FusionStitching: Boosting Memory Intensive Computations for Deep Learning Workloads. - Zhen Zheng; Pengzhan Zhao; Guoping Long; Feiwen Zhu; Kai Zhu; Wenyi Zhao; Lansong Diao; Jun Yang 052; Wei Lin 016 (CoRR, 2020)

DISC: A Dynamic Shape Compiler for Machine Learning Workloads. - Kai Zhu; Wenyi Zhao; Zhen Zheng; Tianyou Guo; Pengzhan Zhao; Junjie Bai; Jun Yang 052; Xiaoyong Liu; Lansong Diao; Wei Lin 016 (EuroMLSys@EuroSys, 2021)

DAPPLE: a pipelined data parallel approach for training large models. - Shiqing Fan; Yi Rong; Chen Meng; Zongyan Cao; Siyu Wang; Zhen Zheng; Chuan Wu 001; Guoping Long; Jun Yang 052; Lixue Xia; Lansong Diao; Xiaoyong Liu; et al. (PPoPP, 2021)

Understanding and bridging the gaps in current GNN performance optimizations. - Kezhao Huang; Jidong Zhai; Zhen Zheng; Youngmin Yi; Xipeng Shen (PPoPP, 2021)

Exploring deep reuse in winograd CNN inference. - Ruofan Wu; Feng Zhang 007; Zhen Zheng; Xiaoyong Du 001; Xipeng Shen (PPoPP, 2021)

Research on point cloud generation algorithm of virtual depth camera. - Ke Li; Shilin Wu; Qinxia Huang; Zhen Zheng (Int. J. Wirel. Mob. Comput., 2021)

AStitch: enabling a new multi-dimensional optimization space for memory-intensive ML training and inference on modern SIMT architectures. - Zhen Zheng; Xuanda Yang; Pengzhan Zhao; Guoping Long; Kai Zhu; Feiwen Zhu; Wenyi Zhao; Xiaoyong Liu; Jun Yang 052; Jidong Zhai; Shuaiwen Leon Song; Wei Lin 016 (ASPLOS, 2022)

Whale: Efficient Giant Model Training over Heterogeneous GPUs. - Xianyan Jia; Le Jiang; Ang Wang; Wencong Xiao; Ziji Shi; Jie Zhang 078; Xinyuan Li; Langshi Chen; Yong Li 020; Zhen Zheng; Xiaoyong Liu; Wei Lin 016 (USENIX ATC, 2022)

DREW: Efficient Winograd CNN Inference with Deep Reuse. - Ruofan Wu; Feng Zhang 007; Jiawei Guan; Zhen Zheng; Xiaoyong Du 001; Xipeng Shen (WWW, 2022)

Research on localisation algorithm of large irregular workpiece for industrial robot. - Zhen Zheng; Shilin Wu; Qinxia Huang; Jun Yang (Int. J. Comput. Sci. Math., 2022)

Single-Stage Adaptive Multi-Scale Point Cloud Noise Filtering Algorithm Based on Feature Information. - Zhen Zheng; Bingting Zha; Yu Zhou; Jinbo Huang; Youshi Xuchen; He Zhang (Remote. Sens., 2022)

Optimizing DNN Compilation for Distributed Training With Joint OP and Tensor Fusion. - Xiaodong Yi 001; Shiwei Zhang 002; Lansong Diao; Chuan Wu 001; Zhen Zheng; Shiqing Fan; Siyu Wang; Jun Yang 052; Wei Lin 016 (IEEE Trans. Parallel Distributed Syst., 2022)

RECom: A Compiler Approach to Accelerating Recommendation Model Inference with Massive Embedding Columns. - Zaifeng Pan; Zhen Zheng; Feng Zhang 007; Ruofan Wu; Hao Liang 003; Dalin Wang; Xiafei Qiu; Junjie Bai; Wei Lin 016; Xiaoyong Du 001 (ASPLOS (4), 2023)

Auto-Parallelizing Large Models with Rhino: A Systematic Approach on Production AI Platform. - Shiwei Zhang 002; Lansong Diao; Siyu Wang; Zongyan Cao; Yiliang Gu; Chang Si; Ziji Shi; Zhen Zheng; Chuan Wu 001; Wei Lin 016 (CoRR, 2023)

Flash-LLM: Enabling Cost-Effective and Highly-Efficient Large Generative Model Inference with Unstructured Sparsity. - Haojun Xia; Zhen Zheng; Yuchao Li; Donglin Zhuang; Zhongzhu Zhou; Xiafei Qiu; Yong Li 020; Wei Lin 016; Shuaiwen Leon Song (CoRR, 2023)

ZeroQuant(4+2): Redefining LLMs Quantization with a New FP6-Centric Strategy for Diverse Generative Tasks. - Xiaoxia Wu; Haojun Xia; Stephen Youn; Zhen Zheng; Shiyang Chen 004; Arash Bakhtiari; Michael Wyatt; Reza Yazdani Aminabadi; Yuxiong He; Olatunji Ruwase; Leon Song; Zhewei Yao (CoRR, 2023)

Flash-LLM: Enabling Low-Cost and Highly-Efficient Large Generative Model Inference With Unstructured Sparsity. - Haojun Xia; Zhen Zheng; Yuchao Li; Donglin Zhuang; Zhongzhu Zhou; Xiafei Qiu; Yong Li 020; Wei Lin 016; Shuaiwen Leon Song (Proc. VLDB Endow., 2023)

BladeDISC: Optimizing Dynamic Shape Machine Learning Workloads via Compiler Approach. - Zhen Zheng; Zaifeng Pan; Dalin Wang; Kai Zhu; Wenyi Zhao; Tianyou Guo; Xiafei Qiu; Minmin Sun; Junjie Bai; Feng Zhang 007; Xiaoyong Du 001; Jidong Zhai; et al. (Proc. ACM Manag. Data, 2023)

Expanding the Edge: Enabling Efficient Winograd CNN Inference With Deep Reuse on Edge Device. - Feng Zhang 007; Ruofan Wu; Jiawei Guan; Zhen Zheng; Xiaoguang Guo; Xiao Zhang 001; Xiaoyong Du 001; Xipeng Shen (IEEE Trans. Knowl. Data Eng., 2023)

Magnetic Anomaly Detection Based on a Compound Tri-Stable Stochastic Resonance System. - Jinbo Huang; Zhen Zheng; Yu Zhou; Yuran Tan; Chengjun Wang; Guangbo Xu; Bingting Zha (Sensors, 2023)

WiseGraph: Optimizing GNN with Joint Workload Partition of Graph and Operations. - Kezhao Huang; Jidong Zhai; Liyan Zheng 001; Haojie Wang; Yuyang Jin 001; Qihao Zhang; Runqing Zhang; Zhen Zheng; Youngmin Yi; Xipeng Shen (EuroSys, 2024)

MonoNN: Enabling a New Monolithic Optimization Space for Neural Network Inference Tasks on Modern GPU-Centric Architectures. - Donglin Zhuang; Zhen Zheng; Haojun Xia; Xiafei Qiu; Junjie Bai; Wei Lin 016; Shuaiwen Leon Song (OSDI, 2024)

RecFlex: Enabling Feature Heterogeneity-Aware Optimization for Deep Recommendation Models with Flexible Schedules. - Zaifeng Pan; Zhen Zheng; Feng Zhang 007; Bing Xie; Ruofan Wu; Shaden Smith; Chuanjie Liu; Olatunji Ruwase; Xiaoyong Du 001; Yufei Ding 001 (SC, 2024)

Quant-LLM: Accelerating the Serving of Large Language Models via FP6-Centric Algorithm-System Co-Design on Modern GPUs. - Haojun Xia; Zhen Zheng; Xiaoxia Wu; Shiyang Chen 004; Zhewei Yao; Stephen Youn; Arash Bakhtiari; Michael Wyatt; Donglin Zhuang; Zhongzhu Zhou; Olatunji Ruwase; Yuxiong He; et al. (USENIX ATC, 2024)

FP6-LLM: Efficiently Serving Large Language Models Through FP6-Centric Algorithm-System Co-Design. - Haojun Xia; Zhen Zheng; Xiaoxia Wu; Shiyang Chen 004; Zhewei Yao; Stephen Youn; Arash Bakhtiari; Michael Wyatt; Donglin Zhuang; Zhongzhu Zhou; Olatunji Ruwase; Yuxiong He; et al. (CoRR, 2024)

BatchLLM: Optimizing Large Batched LLM Inference with Global Prefix Sharing and Throughput-oriented Token Batching. - Zhen Zheng; Xin Ji; Taosong Fang; Fanghao Zhou; Chuanjie Liu; Gang Peng (CoRR, 2024)

MixLLM: LLM Quantization with Global Mixed-precision between Output-features and Highly-efficient System Design. - Zhen Zheng; Xiaonan Song; Chuanjie Liu (CoRR, 2024)

Classification of inland lake water quality levels based on Sentinel-2 images using convolutional neural networks and spatiotemporal variation and driving factors of algal bloom. - Haobin Meng; Jing Zhang; Zhen Zheng; Yongyu Song; Yuequn Lai (Ecol. Informatics, 2024)

Multi-task aided face recognition network with convolution kernel spatial collaboration. - Chunman Yan; Zhen Zheng (Signal Image Video Process., 2024)

Fast Robust Point Cloud Registration Based on Compatibility Graph and Accelerated Guided Sampling. - Chengjun Wang; Zhen Zheng; Bingting Zha; Haojie Li (Remote. Sens., 2024)

Research on Pedestrian and Cyclist Classification Method Based on Micro-Doppler Effect. - Xinyu Chen; Xiao Luo; Zeyu Xie; Defang Zhao; Zhen Zheng; Xiaodong Sun (Sensors, 2024)

Improving GPU Sharing Performance through Adaptive Bubbleless Spatial-Temporal Sharing. - Shulai Zhang; Quan Chen 002; Weihao Cui; Han Zhao 005; Chunyu Xue; Zhen Zheng; Wei Lin 016; Minyi Guo (EuroSys, 2025)

PluS: Highly Efficient and Expandable ML Compiler with Pluggable Graph Schedules. - Ruofan Wu; Zhen Zheng; Feng Zhang 007; Chuanjie Liu; Zaifeng Pan; Jidong Zhai; Xiaoyong Du 001 (USENIX ATC, 2025)

UAV High-Speed Target Reconnaissance and Deblurring. - Zhaoqi Hou; Zhen Zheng; Yiqing Gu; Chuanhao Zhang; Haojie Li (IEEE Access, 2025)

Weighted semantic feature based self-supervised deep cross-modal hashing. - Limeng Gao; Zhen Wang; Xinzhong Wang; Zhen Zheng; Haixu Chen; Shihong Lu (Int. J. Multim. Inf. Retr., 2025)