GPUWattch: enabling energy optimizations in GPGPUs. - Jingwen Leng; Tayler H. Hetherington; Ahmed ElTantawy; Syed Zohaib Gilani; Nam Sung Kim; Tor M. Aamodt; Vijay Janapa Reddi (ISCA, 2013)

A locality-aware memory hierarchy for energy-efficient GPU architectures. - Minsoo Rhu; Michael B. Sullivan 001; Jingwen Leng; Mattan Erez (MICRO, 2013)

GPUVolt: modeling and characterizing voltage noise in GPU architectures. - Jingwen Leng; Yazhou Zu; Minsoo Rhu; Meeta Sharma Gupta; Vijay Janapa Reddi (ISLPED, 2014)

Exploiting Webpage Characteristics for Energy-Efficient Mobile Web Browsing. - Yuhao Zhu 001; Aditya Srikanth; Jingwen Leng; Vijay Janapa Reddi (IEEE Comput. Archit. Lett., 2014)

GPU voltage noise: Characterization and hierarchical smoothing of spatial and temporal voltage noise interference in GPU architectures. - Jingwen Leng; Yazhou Zu; Vijay Janapa Reddi (HPCA, 2015)

Safe limits on voltage reduction efficiency in GPUs: a direct measurement approach. - Jingwen Leng; Alper Buyuktosunoglu; Ramon Bertran; Pradip Bose; Vijay Janapa Reddi (MICRO, 2015)

Adaptive guardband scheduling to improve system-level efficiency of the POWER7+. - Yazhou Zu; Charles R. Lefurgy; Jingwen Leng; Matthew Halpern; Michael S. Floyd; Vijay Janapa Reddi (MICRO, 2015)

Ivory: Early-Stage Design Space Exploration Tool for Integrated Voltage Regulators. - An Zou; Jingwen Leng; Yazhou Zu; Tao Tong; Vijay Janapa Reddi; David M. Brooks; Gu-Yeon Wei; Xuan Zhang 001 (DAC, 2017)

Efficient and reliable power delivery in voltage-stacked manycore system with hybrid charge-recycling regulators. - An Zou; Jingwen Leng; Xin He; Yazhou Zu; Vijay Janapa Reddi; Xuan Zhang 001 (DAC, 2018)

DR DRAM: Accelerating Memory-Read-Intensive Applications. - Yuhai Cao; Chao Li 009; Quan Chen 002; Jingwen Leng; Minyi Guo; Jing Wang 055; Weigong Zhang (ICCD, 2018)

Voltage-Stacked GPUs: A Control Theory Driven Cross-Layer Solution for Practical Voltage Stacking in GPUs. - An Zou; Jingwen Leng; Xin He; Yazhou Zu; Christopher D. Gill; Vijay Janapa Reddi; Xuan Zhang 001 (MICRO, 2018)

Adversarial Defense Through Network Profiling Based Path Extraction. - Yuxian Qiu; Jingwen Leng; Cong Guo 003; Quan Chen 002; Chao Li 009; Minyi Guo; Yuhao Zhu 001 (CVPR, 2019)

Ebird: Elastic Batch for Improving Responsiveness and Throughput of Deep Learning Services. - Weihao Cui; Mengze Wei; Quan Chen 002; Xiaoxin Tang; Jingwen Leng; Li Li 012; Mingyi Guo (ICCD, 2019)

Avalon: towards QoS awareness and improved utilization through multi-resource management in datacenters. - Quan Chen 002; Zhenning Wang; Jingwen Leng; Chao Li 009; Wenli Zheng; Minyi Guo (ICS, 2019)

Modern Hardware Margins: CPUs, GPUs, FPGAs Recent System-Level Studies. - Dimitris Gizopoulos; George Papadimitriou 001; Athanasios Chatzidimitriou; Vijay Janapa Reddi; Behzad Salami 001; Osman S. Unsal; Adrián Cristal Kestelman; Jingwen Leng (IOLTS, 2019)

Themis: Predicting and Reining in Application-Level Slowdown on Spatial Multitasking GPUs. - Wenyi Zhao; Quan Chen 002; Hao Lin; Jianfeng Zhang; Jingwen Leng; Chao Li 009; Wenli Zheng; Li Li 012; Minyi Guo (IPDPS, 2019)

Characterizing Perception Module Performance and Robustness in Production-Scale Autonomous Driving System. - Alessandro Toschi; Mustafa Sanic; Jingwen Leng; Quan Chen 002; Chunlin Wang; Minyi Guo (NPC, 2019)

SVSoC: Speculative Vision Systems-on-a-Chip. - Yiming Gan; Yuxian Qiu; Jingwen Leng; Yuhao Zhu 001 (IEEE Comput. Archit. Lett., 2019)

Asymmetric Resilience for Accelerator-Rich Systems. - Jingwen Leng; Alper Buyuktosunoglu; Ramon Bertran; Pradip Bose; Vijay Janapa Reddi (IEEE Comput. Archit. Lett., 2019)

Bandwidth and Locality Aware Task-stealing for Manycore Architectures with Bandwidth-Asymmetric Memory. - Han Zhao 005; Quan Chen 002; Yuxian Qiu; Ming Wu 007; Yao Shen; Jingwen Leng; Chao Li 009; Minyi Guo (ACM Trans. Archit. Code Optim., 2019)

DR Refresh: Releasing DRAM Potential by Enabling Read Accesses Under Refresh. - Yuhai Cao; Chao Li 009; Jing Wang 055; Weigong Zhang; Quan Chen 002; Jingwen Leng; Bin Yao 002; Yao Shen; Minyi Guo (IEEE Trans. Computers, 2019)

Low-Latency Proactive Continuous Vision. - Yiming Gan; Yuxian Qiu; Lele Chen; Jingwen Leng; Yuhao Zhu 001 (PACT, 2020)

How Far Does BERT Look At: Distance-based Clustering and Analysis of BERT's Attention. - Yue Guan 003; Jingwen Leng; Chao Li 009; Quan Chen 002; Minyi Guo (COLING, 2020)

Balancing Efficiency and Flexibility for DNN Acceleration via Temporal GPU-Systolic Array Integration. - Cong Guo 003; Yangjie Zhou 001; Jingwen Leng; Yuhao Zhu 001; Zidong Du; Quan Chen 002; Chao Li 009; Bin Yao 002; Minyi Guo (DAC, 2020)

Asymmetric Resilience: Exploiting Task-Level Idempotency for Transient Error Recovery in Accelerator-Based Systems. - Jingwen Leng; Alper Buyuktosunoglu; Ramon Bertran; Pradip Bose; Quan Chen 002; Minyi Guo; Vijay Janapa Reddi (HPCA, 2020)

CODA: Improving Resource Utilization by Slimming and Co-locating DNN and CPU Jobs. - Han Zhao 005; Weihao Cui; Quan Chen 002; Jingwen Leng; Kai Yu 004; Deze Zeng; Chao Li 009; Minyi Guo (ICDCS, 2020)

URSA: Precise Capacity Planning and Fair Scheduling based on Low-level Statistics for Public Clouds. - Wei Zhang 149; Ningxin Zheng; Quan Chen 002; Yong Yang; Zhuo Song; Tao Ma 006; Jingwen Leng; Minyi Guo (ICPP, 2020)

OVERSEE: Outsourcing Verification to Enable Resource Sharing in Edge Environment. - Xiaoqing Cai; Jiuchen Shi; Rui Yuan; Chang Liu; Wenli Zheng; Quan Chen 002; Chao Li 009; Jingwen Leng; Minyi Guo (ICPP, 2020)

Sturgeon: Preference-aware Co-location for Improving Utilization of Power Constrained Computers. - Pu Pang; Quan Chen 002; Deze Zeng; Chao Li 009; Jingwen Leng; Wenli Zheng; Minyi Guo (IPDPS, 2020)

DLFusion: An Auto-Tuning Compiler for Layer Fusion on Deep Neural Network Accelerator. - Zihan Liu 002; Jingwen Leng; Quan Chen 002; Chao Li 009; Wenli Zheng; Li Li 012; Minyi Guo (ISPA/BDCloud/SocialCom/SustainCom, 2020)

Ptolemy: Architecture Support for Robust Deep Learning. - Yiming Gan; Yuxian Qiu; Jingwen Leng; Minyi Guo; Yuhao Zhu 001 (MICRO, 2020)

Accelerating sparse DNN models without hardware-support via tile-wise sparsity. - Cong Guo 003; Bo Yang Hsueh; Jingwen Leng; Yuxian Qiu; Yue Guan 003; Zehuan Wang; Xiaoying Jia 001; Xipeng Li; Minyi Guo; Yuhao Zhu 001 (SC, 2020)

Architectural Implications of Graph Neural Networks. - Zhihui Zhang; Jingwen Leng; Lingxiao Ma; Youshan Miao; Chao Li 009; Minyi Guo (IEEE Comput. Archit. Lett., 2020)

Survey and design of paleozoic: a high-performance compiler tool chain for deep learning inference accelerator. - Zihan Liu 002; Jingwen Leng; Guandong Lu; Chenhui Wang; Quan Chen 002; Minyi Guo (CCF Trans. High Perform. Comput., 2020)

Towards QoS-Aware and Resource-Efficient GPU Microservices Based on Spatial Multitasking GPUs In Datacenters. - Wei Zhang 149; Quan Chen 002; Kaihua Fu; Ningxin Zheng; Zhiyi Huang 001; Jingwen Leng; Chao Li 009; Wenli Zheng; Minyi Guo (CoRR, 2020)

Exceeding Conservative Limits: A Consolidated Analysis on Modern Hardware Margins. - George Papadimitriou 001; Athanasios Chatzidimitriou; Dimitris Gizopoulos; Vijay Janapa Reddi; Jingwen Leng; Behzad Salami 001; Osman S. Unsal; Adrián Cristal Kestelman (CoRR, 2020)

Probabilistic robust regression with adaptive weights - a case study on face recognition. - Jin Li; Quan Chen 002; Jingwen Leng; Weinan Zhang 001; Minyi Guo (Frontiers Comput. Sci., 2020)

Predicting and reining in application-level slowdown on spatial multitasking GPUs. - Mengze Wei; Wenyi Zhao; Quan Chen 002; Hao Dai; Jingwen Leng; Chao Li 009; Wenli Zheng; Minyi Guo (J. Parallel Distributed Comput., 2020)

Voltage-Stacked Power Delivery Systems: Reliability, Efficiency, and Power Management. - An Zou; Jingwen Leng; Xin He; Yazhou Zu; Christopher D. Gill; Vijay Janapa Reddi; Xuan Zhang 001 (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2020)

Skywalker: Efficient Alias-Method-Based Graph Sampling and Random Walk on GPUs. - Pengyu Wang 003; Chao Li 009; Jing Wang 055; Taolei Wang; Lu Zhang 049; Jingwen Leng; Quan Chen 002; Minyi Guo (PACT, 2021)

Exploiting Intra-SM Parallelism in GPUs via Persistent and Elastic Blocks. - Han Zhao 005; Weihao Cui; Quan Chen 002; Jieru Zhao; Jingwen Leng; Minyi Guo (ICCD, 2021)

Dubhe: Towards Data Unbiasedness with Homomorphic Encryption in Federated Learning Client Selection. - Shulai Zhang; Zirui Li; Quan Chen 002; Wenli Zheng; Jingwen Leng; Minyi Guo (ICPP, 2021)

Characterizing and Demystifying the Implicit Convolution Algorithm on Commercial Matrix-Multiplication Accelerators. - Yangjie Zhou 001; Mengtian Yang; Cong Guo 003; Jingwen Leng; Yun Liang 001; Quan Chen 002; Minyi Guo; Yuhao Zhu 001 (IISWC, 2021)

AlphaR: Learning-Powered Resource Management for Irregular, Dynamic Microservice Graph. - Xiaofeng Hou; Chao Li 009; Jiacheng Liu 001; Lu Zhang 049; Shaolei Ren; Jingwen Leng; Quan Chen 002; Minyi Guo (IPDPS, 2021)

Dual-side Sparse Tensor Core. - Yang Wang 053; Chen Zhang 001; Zhiqiang Xie; Cong Guo 003; Yunxin Liu 001; Jingwen Leng (ISCA, 2021)

Enable simultaneous DNN services based on deterministic operator overlap and precise latency prediction. - Weihao Cui; Han Zhao 005; Quan Chen 002; Ningxin Zheng; Jingwen Leng; Jieru Zhao; Zhuo Song; Tao Ma 006; Yong Yang; Chao Li 009; Minyi Guo (SC, 2021)

ZIPPER: Exploiting Tile- and Operator-level Parallelism for General and Scalable Graph Neural Network Acceleration. - Zhihui Zhang; Jingwen Leng; Shuwen Lu; Youshan Miao; Yijia Diao; Minyi Guo; Chao Li 009; Yuhao Zhu 001 (CoRR, 2021)

System-level Early-stage Modeling and Evaluation of IVR-assisted Processor Power Delivery System. - An Zou; Huifeng Zhu; Jingwen Leng; Xin He; Vijay Janapa Reddi; Christopher D. Gill; Xuan Zhang 001 (ACM Trans. Archit. Code Optim., 2021)

Predictive Guardbanding: Program-Driven Timing Margin Reduction for GPUs. - Jingwen Leng; Alper Buyuktosunoglu; Ramon Bertran; Pradip Bose; Yazhou Zu; Vijay Janapa Reddi (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2021)

Erratum to "Predictive Guardbanding: Program-Driven Timing Margin Reduction for GPUs". - Jingwen Leng; Alper Buyuktosunoglu; Ramon Bertran; Pradip Bose; Yazhou Zu; Vijay Janapa Reddi (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2021)

Block-Skim: Efficient Question Answering for Transformer. - Yue Guan 003; Zhengyi Li 002; Zhouhan Lin; Yuhao Zhu 001; Jingwen Leng; Minyi Guo (AAAI, 2022)

Transkimmer: Transformer Learns to Layer-wise Skim. - Yue Guan 003; Zhengyi Li 002; Jingwen Leng; Zhouhan Lin; Minyi Guo (ACL (1), 2022)

VELTAIR: towards high-performance multi-tenant deep learning services via adaptive compilation and scheduling. - Zihan Liu 002; Jingwen Leng; Zhihui Zhang; Quan Chen 002; Chao Li 009; Minyi Guo (ASPLOS, 2022)

Astraea: towards QoS-aware and resource-efficient multi-stage GPU services. - Wei Zhang 149; Quan Chen 002; Kaihua Fu; Ningxin Zheng; Zhiyi Huang 001; Jingwen Leng; Minyi Guo (ASPLOS, 2022)

EMS: efficient memory subsystem synthesis for spatial accelerators. - Liancheng Jia; Yuyue Wang 001; Jingwen Leng; Yun Liang 001 (DAC, 2022)

SALO: an efficient spatial accelerator enabling hybrid sparse attention mechanisms for long sequences. - Guan Shen; Jieru Zhao; Quan Chen 002; Jingwen Leng; Chao Li 009; Minyi Guo (DAC, 2022)

Tacker: Tensor-CUDA Core Kernel Fusion for Improving the GPU Utilization while Ensuring QoS. - Han Zhao 005; Weihao Cui; Quan Chen 002; Youtao Zhang; Yanchao Lu; Chao Li 009; Jingwen Leng; Minyi Guo (HPCA, 2022)

Nesting Forward Automatic Differentiation for Memory-Efficient Deep Neural Network Training. - Cong Guo 003; Yuxian Qiu; Jingwen Leng; Chen Zhang 001; Ying Cao; Quanlu Zhang; Yunxin Liu 001; Fan Yang 024; Minyi Guo (ICCD, 2022)

SQuant: On-the-Fly Data-Free Quantization via Diagonal Hessian Approximation. - Cong Guo 003; Yuxian Qiu; Jingwen Leng; Xiaotian Gao; Chen Zhang 001; Yunxin Liu 001; Fan Yang 024; Yuhao Zhu 001; Minyi Guo (ICLR, 2022)

PAME: precision-aware multi-exit DNN serving for reducing latencies of batched inferences. - Shulai Zhang; Weihao Cui; Quan Chen 002; Zhengnian Zhang; Yue Guan 003; Jingwen Leng; Chao Li 009; Minyi Guo (ICS, 2022)

Braum: Analyzing and Protecting Autonomous Machine Software Stack. - Yiming Gan; Paul N. Whatmough; Jingwen Leng; Bo Yu 014; Shaoshan Liu; Yuhao Zhu 001 (ISSRE, 2022)

ANT: Exploiting Adaptive Numerical Data Type for Low-bit Deep Neural Network Quantization. - Cong Guo 003; Chen Zhang 001; Jingwen Leng; Zihan Liu 002; Fan Yang 024; Yunxin Liu 001; Minyi Guo; Yuhao Zhu 001 (MICRO, 2022)

Towards Reliable AI Applications via Algorithm-Based Fault Tolerance on NVDLA. - Mustafa Tarik Sanic; Cong Guo 003; Jingwen Leng; Minyi Guo; Weiyin Ma (MSN, 2022)

Efficient Activation Quantization via Adaptive Rounding Border for Post-Training Quantization. - Zhengyi Li 002; Cong Guo 003; Zhanda Zhu; Yangjie Zhou 001; Yuxian Qiu; Xiaotian Gao; Jingwen Leng; Minyi Guo (CoRR, 2022)

Fourier Transformer: Fast Long Range Modeling by Removing Sequence Redundancy with FFT Operator. - Ziwei He; Meng Yang; Minwei Feng; Jingcheng Yin; Xinbing Wang; Jingwen Leng; Zhouhan Lin (ACL (Findings), 2023)

uGrapher: High-Performance Graph Operator Computation via Unified Abstraction for Graph Neural Networks. - Yangjie Zhou 001; Jingwen Leng; Yaoxu Song; Shuwen Lu; Mian Wang; Chao Li 009; Minyi Guo; Wenting Shen; Yong Li 020; Wei Lin 016; Xiangwen Liu; Hanqing Wu (ASPLOS (2), 2023)

AdaptGear: Accelerating GNN Training via Adaptive Subgraph-Level Kernels on GPUs. - Yangjie Zhou 001; Yaoxu Song; Jingwen Leng; Zihan Liu 002; Weihao Cui; Zhendong Zhang 004; Cong Guo 003; Quan Chen 002; Li Li 012; Minyi Guo (CF, 2023)

DistSim: A performance model of large-scale hybrid distributed DNN training. - Guandong Lu; Runzhe Chen; Yakai Wang; Yangjie Zhou 001; Rui Zhang; Zheng Hu 002; Yanming Miao; Zhifang Cai; Li Li 012; Jingwen Leng; Minyi Guo (CF, 2023)

Not All Resources are Visible: Exploiting Fragmented Shadow Resources in Shared-State Scheduler Architecture. - Xinkai Wang 003; Hao He; Yuancheng Li; Chao Li 009; Xiaofeng Hou; Jing Wang 055; Quan Chen 002; Jingwen Leng; Minyi Guo; Leibo Wang (SoCC, 2023)

Chimera: An Analytical Optimizing Framework for Effective Compute-intensive Operators Fusion. - Size Zheng 001; Siyuan Chen 007; Peidi Song; Renze Chen; Xiuhong Li; Shengen Yan; Dahua Lin; Jingwen Leng; Yun Liang 001 (HPCA, 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)

FIRST: Exploiting the Multi-Dimensional Attributes of Functions for Power-Aware Serverless Computing. - Lu Zhang 049; Chao Li 009; Xinkai Wang 003; Weiqi Feng; Zheng Yu 003; Quan Chen 002; Jingwen Leng; Minyi Guo; Pu Yang; Shang Yue (IPDPS, 2023)

OliVe: Accelerating Large Language Models via Hardware-friendly Outlier-Victim Pair Quantization. - Cong Guo 003; Jiaming Tang; Weiming Hu; Jingwen Leng; Chen Zhang 001; Fan Yang 024; Yunxin Liu 001; Minyi Guo; Yuhao Zhu 001 (ISCA, 2023)

ImaGen: A General Framework for Generating Memory- and Power-Efficient Image Processing Accelerators. - Nisarg Ujjainkar; Jingwen Leng; Yuhao Zhu 001 (ISCA, 2023)

DistSim: A performance model of large-scale hybrid distributed DNN training. - Guandong Lu; Runzhe Chen; Yakai Wang; Yangjie Zhou 001; Rui Zhang; Zheng Hu; Yanming Miao; Zhifang Cai; Li Li 012; Jingwen Leng; Minyi Guo (CoRR, 2023)

DFlow: Efficient Dataflow-based Invocation Workflow Execution for Function-as-a-Service. - Xiaoxiang Shi; Chao Li 009; Zijun Li 001; Zihan Liu 002; Dianmo Sheng; Quan Chen 002; Jingwen Leng; Minyi Guo (CoRR, 2023)

Accelerating Generic Graph Neural Networks via Architecture, Compiler, Partition Method Co-Design. - Shuwen Lu; Zhihui Zhang; Cong Guo 003; Jingwen Leng; Yangjie Zhou 001; Minyi Guo (CoRR, 2023)

Improving Cluster Utilization Through Adaptive Resource Management for Deep Neural Network and CPU Jobs Colocation. - Han Zhao 005; Weihao Cui; Quan Chen 002; Jingwen Leng; Deze Zeng; Minyi Guo (IEEE Trans. Computers, 2023)

GMLake: Efficient and Transparent GPU Memory Defragmentation for Large-scale DNN Training with Virtual Memory Stitching. - Cong Guo 003; Rui Zhang; Jiale Xu; Jingwen Leng; Zihan Liu 002; Ziyu Huang; Minyi Guo; Hao Wu; Shouren Zhao; Junping Zhao; Ke Zhang (ASPLOS (2), 2024)

MAGIS: Memory Optimization via Coordinated Graph Transformation and Scheduling for DNN. - Renze Chen; Zijian Ding; Size Zheng 001; Chengrui Zhang; Jingwen Leng; Xuanzhe Liu; Yun Liang 001 (ASPLOS (3), 2024)

Amanda: Unified Instrumentation Framework for Deep Neural Networks. - Yue Guan 003; Yuxian Qiu; Jingwen Leng; Fan Yang 024; Shuo Yu 006; Yunxin Liu 001; Yu Feng 007; Yuhao Zhu 001; Lidong Zhou; Yun Liang 001; Chen Zhang 001; Chao Li 009; et al. (ASPLOS (1), 2024)

Fractal: Joint Multi-Level Sparse Pattern Tuning of Accuracy and Performance for DNN Pruning. - Yue Guan 003; Changming Yu; Yangjie Zhou 001; Jingwen Leng; Chao Li 009; Minyi Guo (ASPLOS (3), 2024)

JUNO: Optimizing High-Dimensional Approximate Nearest Neighbour Search with Sparsity-Aware Algorithm and Ray-Tracing Core Mapping. - Zihan Liu 002; Wentao Ni; Jingwen Leng; Yu Feng 007; Cong Guo 003; Quan Chen 002; Chao Li 009; Minyi Guo; Yuhao Zhu 001 (ASPLOS (2), 2024)

Fovea Transformer: Efficient Long-Context Modeling with Structured Fine-To-Coarse Attention. - Ziwei He; Jian Yuan; Le Zhou; Jingwen Leng; Bo Jiang (ICASSP, 2024)

SHEEO: Continuous Energy Efficiency Optimization in Autonomous Embedded Systems. - Xinkai Wang 003; Chao Li 009; Lingyu Sun; Qizheng Lyu; Xiaofeng Hou; Jingwen Leng; Minyi Guo (ICCD, 2024)

Cicero: Addressing Algorithmic and Architectural Bottlenecks in Neural Rendering by Radiance Warping and Memory Optimizations. - Yu Feng 007; Zihan Liu 002; Jingwen Leng; Minyi Guo; Yuhao Zhu 001 (ISCA, 2024)

A Tale of Two Domains: Exploring Efficient Architecture Design for Truly Autonomous Things. - Xiaofeng Hou; Tongqiao Xu; Chao Li 009; Cheng Xu; Jiacheng Liu 001; Yang Hu 001; Jieru Zhao; Jingwen Leng; Kwang-Ting Cheng; Minyi Guo (ISCA, 2024)

Nimbus: Secure and Efficient Two-Party Inference for Transformers. - Zhengyi Li 002; Kang Yang 002; Jin Tan; Wen-jie Lu; Haoqi Wu; Xiao Wang 012; Yu Yu 001; Derun Zhao; Yancheng Zheng; Minyi Guo; Jingwen Leng (NeurIPS, 2024)

Towards Fast Setup and High Throughput of GPU Serverless Computing. - Han Zhao 005; Weihao Cui; Quan Chen 002; Shulai Zhang; Zijun Li 001; Jingwen Leng; Chao Li 009; Deze Zeng; Minyi Guo (CoRR, 2024)

vTensor: Flexible Virtual Tensor Management for Efficient LLM Serving. - Jiale Xu; Rui Zhang; Cong Guo 003; Weiming Hu; Zihan Liu 002; Feiyang Wu; Yu Feng 007; Shixuan Sun; Changxu Shao; Yuhong Guo; Junping Zhao; Ke Zhang; et al. (CoRR, 2024)

Vortex: Efficient Sample-Free Dynamic Tensor Program Optimization via Hardware-aware Strategy Space Hierarchization. - Yangjie Zhou 001; Honglin Zhu; Qian Qiu; Weihao Cui; Zihan Liu 002; Cong Guo 003; Siyuan Feng; Jintao Meng 001; Haidong Lan; Jingwen Leng; Wenxi Zhu; Minwen Deng (CoRR, 2024)

Accelerating Sparse DNNs Based on Tiled GEMM. - Cong Guo 003; Fengchen Xue; Jingwen Leng; Yuxian Qiu; Yue Guan 003; Weihao Cui; Quan Chen 002; Minyi Guo (IEEE Trans. Computers, 2024)

Potamoi: Accelerating Neural Rendering via a Unified Streaming Architecture. - Yu Feng 007; Weikai Lin; Zihan Liu 002; Jingwen Leng; Minyi Guo; Han Zhao 005; Xiaofeng Hou; Jieru Zhao; Yuhao Zhu 001 (ACM Trans. Archit. Code Optim., 2024)

Gumbel Reranking: Differentiable End-to-End Reranker Optimization. - Siyuan Huang 003; Zhiyuan Ma; Jintao Du; Changhua Meng; Weiqiang Wang; Jingwen Leng; Minyi Guo; Zhouhan Lin (ACL (1), 2025)

StreamGrid: Streaming Point Cloud Analytics via Compulsory Splitting and Deterministic Termination. - Yu Feng 007; Zheng Liu; Weikai Lin; Zihan Liu 002; Jingwen Leng; Minyi Guo; Zhezhi He; Jieru Zhao; Yuhao Zhu 001 (ASPLOS (2), 2025)

VQ-LLM: High-performance Code Generation for Vector Quantization Augmented LLM Inference. - Zihan Liu 002; Xinhao Luo; Junxian Guo; Wentao Ni; Yangjie Zhou 001; Yue Guan 003; Cong Guo 003; Weihao Cui; Yu Feng 007; Minyi Guo; Yuhao Zhu 001; Minjia Zhang; et al. (HPCA, 2025)

M-ANT: Efficient Low-bit Group Quantization for LLMs via Mathematically Adaptive Numerical Type. - Weiming Hu; Haoyan Zhang; Cong Guo 003; Yu Feng 007; Renyang Guan; Zhendong Hua; Zihan Liu 002; Yue Guan 003; Minyi Guo; Jingwen Leng (HPCA, 2025)

WeightedKV: Attention Scores Weighted Key-Value Cache Merging for Large Language Models. - Jian Yuan; Ziwei He; Haoli Bai; Jingwen Leng; Bo Jiang (ICASSP, 2025)

Lumina: Real-Time Neural Rendering by Exploiting Computational Redundancy. - Yu Feng 007; Weikai Lin; Yuge Cheng; Zihan Liu 002; Jingwen Leng; Minyi Guo; Chen Chen 067; Shixuan Sun; Yuhao Zhu 001 (ISCA, 2025)

GES: High-Performance Graph Processing Engine and Service in Huawei. - Sen Gao; Jianwen Zhao; Hao Zhang 098; Shixuan Sun; Chen Liang; Gongye Chen; Wenliang Zhang; Bo Ren; Chao Liu 037; Chenyi Zhang 002; Quan Chen 002; Chao Li 009; et al. (SIGMOD Conference Companion, 2025)

TreeKV: Smooth Key-Value Cache Compression with Tree Structures. - Ziwei He; Jian Yuan; Haoli Bai; Jingwen Leng; Bo Jiang (CoRR, 2025)

BAFT: bubble-aware fault-tolerant framework for distributed DNN training with hybrid parallelism. - Runzhe Chen; Guandong Lu; Yakai Wang; Rui Zhang; Zheng Hu; Yanming Miao; Zhifang Cai; Jingwen Leng; Minyi Guo (Frontiers Comput. Sci., 2025)

Gumbel Reranking: Differentiable End-to-End Reranker Optimization. - Siyuan Huang 003; Zhiyuan Ma; Jintao Du; Changhua Meng; Weiqiang Wang 002; Jingwen Leng; Minyi Guo; Zhouhan Lin (CoRR, 2025)

DSTC: Dual-Side Sparse Tensor Core for DNNs Acceleration on Modern GPU Architectures. - Chen Zhang 001; Yang Wang 053; Zhiqiang Xie; Cong Guo 003; Yunxin Liu 001; Jingwen Leng; Zhigang Ji; Yuan Xie 001; Ru Huang 001 (IEEE Trans. Computers, 2025)

SeeLe: A Unified Acceleration Framework for Real-Time Gaussian Splatting. - Xiaotong Huang; He Zhu; Zihan Liu 002; Weikai Lin; Xiaohong Liu; Zhezhi He; Jingwen Leng; Minyi Guo; Yu Feng 007 (CoRR, 2025)

KINDRED: Heterogeneous Split-Lock Architecture for Safe Autonomous Machines. - Yiming Gan; Jingwen Leng; Bo Yu 014; Yuhao Zhu 001 (ACM Trans. Archit. Code Optim., 2025)

An Efficient Private GPT Never Autoregressively Decodes. - Zhengyi Li 002; Yue Guan 003; Kang Yang 002; Yu Feng 007; Ning Liu; Yu Yu 001; Jingwen Leng; Minyi Guo (CoRR, 2025)

Voyager: Real-Time Splatting City-Scale 3D Gaussians on Your Phone. - Zheng Liu; He Zhu; Xinyang Li; Yirun Wang; Yujiao Shi; Wei Li; Jingwen Leng; Minyi Guo; Yu Feng 007 (CoRR, 2025)

Astraea: A GPU-Oriented Token-wise Acceleration Framework for Video Diffusion Transformers. - Haosong Liu; Yuge Cheng; Zihan Liu 002; Aiyue Chen; Jing Lin; Yiwu Yao; Chen Chen 067; Jingwen Leng; Yu Feng 007; Minyi Guo (CoRR, 2025)

Lumina: Real-Time Mobile Neural Rendering by Exploiting Computational Redundancy. - Yu Feng 007; Weikai Lin; Yuge Cheng; Zihan Liu 002; Jingwen Leng; Minyi Guo; Chen Chen 067; Shixuan Sun; Yuhao Zhu 001 (CoRR, 2025)

eLLM: Elastic Memory Management Framework for Efficient LLM Serving. - Jiale Xu; Rui Zhang; Yi Xiong 003; Cong Guo 003; Zihan Liu 002; Yangjie Zhou 001; Weiming Hu; Hao Wu; Changxu Shao; Ziqing Wang; Yongjie Yuan; Junping Zhao; et al. (CoRR, 2025)

SLTarch: Towards Scalable Point-Based Neural Rendering by Taming Workload Imbalance and Memory Irregularity. - Xingyang Li; Jie Jiang; Yu Feng 007; Yiming Gan; Jieru Zhao; Zihan Liu 002; Jingwen Leng; Minyi Guo (CoRR, 2025)