Jingwen Leng - RankMe

175 papers A* 39A 15B 6C 7Misc 2Journal 84Unranked 22

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Full-Stack Framework for GNN Acceleration via Partition-Compiler-Architecture Co-Design. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Yangjie Zhou, Zhihui Zhang, Shuwen Lu, Cong Guo, Jingwen Leng, Feng Zhang, Yufei Ma, Yun Liang, Minyi Guo
2026	A*	`conf`	CLINE: Improving Control Flow Compilation of Quantum Programs with Control Line Encoding. HPCA Anbang Wu, Liqiang Lu, Jianwei Yin, Jingwen Leng, Minyi Guo
2026	J	`jnl`	DASH: Deterministic Attention Scheduling for High-throughput Reproducible LLM Training. CoRR Xinwei Qiang, Hongmin Chen, Shixuan Sun, Jingwen Leng, Xin Liu, Minyi Guo
2026	A*	`conf`	FlashFuser: Expanding the Scale of Kernel Fusion for Compute-Intensive Operators via Inter-Core Connection. HPCA Ziyu Huang, Yangjie Zhou, Zihan Liu, Xinhao Luo, Yijia Diao, Minyi Guo, Jidong Zhai, Yu Feng, Chen Zhang, Anbang Wu, Jingwen Leng
2026	J	`jnl`	HeteroQNN: Enabling Distributed QNN Under Heterogeneous Quantum Devices. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Liqiang Lu, Tianyao Chu, Siwei Tan, Jingwen Leng, Fangxin Liu, Congliang Lang, Yifan Guo, Jianwei Yin
2026	—	`conf`	M ASPLOS (2) Weiming Hu, Zihan Zhang, Haoyan Zhang, Chen Zhang, Cong Guo, Yu Feng, Tianchi Hu, Guanglin Li, Guipeng Hu, Junsong Wang, Jingwen Leng
2026	J	`jnl`	M2XFP: A Metadata-Augmented Microscaling Data Format for Efficient Low-bit Quantization. CoRR Weiming Hu, Zihan Zhang, Haoyan Zhang, Chen Zhang, Cong Guo, Yu Feng, Tianchi Hu, Guanglin Li, Guipeng Hu, Junsong Wang, Jingwen Leng
2026	—	`conf`	Nebula: Infinite-Scale 3D Gaussian Splatting in VR via Collaborative Rendering and Accelerated Stereo Rasterization. ASPLOS (2) He Zhu, Zheng Liu, Xingyang Li, Anbang Wu, Jieru Zhao, Fangxin Liu, Yiming Gan, Jingwen Leng, Yu Feng
2026	J	`jnl`	One Size Does Not Fit All: Token-Wise Adaptive Compression for KV Cache. CoRR Liming Lu, Kaixi Qiu, Jiayu Zhou, Jushi Kai, Haoyan Zhang, Huanyu Wang, Jingwen Leng, Ziwei He, Zhouhan Lin
2026	A*	`conf`	SPLATONIC: Architectural Support for 3D Gaussian Splatting SLAM via Sparse Processing. HPCA Xiaotong Huang, He Zhu, Tianrui Ma, Yuxiang Xiong, Fangxin Liu, Zhezhi He, Yiming Gan, Zihan Liu, Jingwen Leng, Yu Feng, Minyi Guo
2026	A*	`conf`	Towards Compute-Aware In-Switch Computing for LLMs Tensor-Parallelism on Multi-GPU Systems. HPCA Chen Zhang, Qijun Zhang, Zhuoshan Zhou, Yijia Diao, Haibo Wang, Zhe Zhou, Zhipeng Tu, Zhiyao Li, Guangyu Sun, Zhuoran Song, Zhigang Ji, Jingwen Leng, Minyi Guo
2025	A	`conf`	A Sample-Free Compilation Framework for Efficient Dynamic Tensor Computation. SC Yangjie Zhou, Honglin Zhu, Qian Qiu, Weihao Cui, Zihan Liu, Peng Chen, Mohamed Wahib, Cong Guo, Siyuan Feng, Jintao Meng, Haidong Lan, Jingwen Leng, Yun Lin, Jin Song Dong, Wenxi Zhu, Minwen Deng
2025	A*	`conf`	An Efficient Private GPT Never Autoregressively Decodes. ICML Zhengyi Li, Yue Guan, Kang Yang, Yu Feng, Ning Liu, Yu Yu, Jingwen Leng, Minyi Guo
2025	J	`jnl`	An Efficient Private GPT Never Autoregressively Decodes. CoRR Zhengyi Li, Yue Guan, Kang Yang, Yu Feng, Ning Liu, Yu Yu, Jingwen Leng, Minyi Guo
2025	J	`jnl`	An Efficient Private GPT Never Autoregressively Decodes. IACR Cryptol. ePrint Arch. Zhengyi Li, Yue Guan, Kang Yang, Yu Feng, Ning Liu, Yu Yu, Jingwen Leng, Minyi Guo
2025	A*	`conf`	ArbiterQ: Improving QNN Convergency and Accuracy by Applying Personalized Model on Heterogeneous Quantum Devices. DAC Tianyao Chu, Siwei Tan, Liqiang Lu, Jingwen Leng, Fangxin Liu, Congliang Lang, Yifan Guo, Jianwei Yin
2025	J	`jnl`	Astraea: A GPU-Oriented Token-wise Acceleration Framework for Video Diffusion Transformers. CoRR Haosong Liu, Yuge Cheng, Zihan Liu, Aiyue Chen, Jing Lin, Yiwu Yao, Chen Chen, Jingwen Leng, Yu Feng, Minyi Guo
2025	J	`jnl`	BAFT: bubble-aware fault-tolerant framework for distributed DNN training with hybrid parallelism. Frontiers Comput. Sci. Runzhe Chen, Guandong Lu, Yakai Wang, Rui Zhang, Zheng Hu, Yanming Miao, Zhifang Cai, Jingwen Leng, Minyi Guo
2025	J	`jnl`	ClusterFusion: Expanding Operator Fusion Scope for LLM Inference via Cluster-Level Collective Primitive. CoRR Xinhao Luo, Zihan Liu, Yangjie Zhou, Shihan Fang, Ziyu Huang, Yu Feng, Chen Zhang, Shixuan Sun, Zhenzhe Zheng, Jingwen Leng, Minyi Guo
2025	—	`conf`	DACO: Unlocking Latent Dataflow Opportunities in Edge-Side SIMT Accelerators. APPT Han Zhao, Yiying Xiang, Yu Liu, Xiaochun Ye, Deze Zeng, Jing Yang, Weihao Cui, Quan Chen, Jingwen Leng, Minyi Guo
2025	J	`jnl`	DSTC: Dual-Side Sparse Tensor Core for DNNs Acceleration on Modern GPU Architectures. IEEE Trans. Computers Chen Zhang, Yang Wang, Zhiqiang Xie, Cong Guo, Yunxin Liu, Jingwen Leng, Zhigang Ji, Yuan Xie, Ru Huang
2025	J	`jnl`	EDAS: Enabling Fast Data Loading for GPU Serverless Computing. ACM Trans. Archit. Code Optim. Han Zhao, Weihao Cui, Quan Chen, Zijun Li, Zhenhua Han, Nan Wang, Yu Feng, Jieru Zhao, Chen Chen, Jingwen Leng, Minyi Guo
2025	J	`jnl`	FlashFuser: Expanding the Scale of Kernel Fusion for Compute-Intensive Operators via Inter-Core Connection. CoRR Ziyu Huang, Yangjie Zhou, Zihan Liu, Xinhao Luo, Yijia Diao, Minyi Guo, Jidong Zhai, Yu Feng, Chen Zhang, Anbang Wu, Jingwen Leng
2025	—	`conf`	GES: High-Performance Graph Processing Engine and Service in Huawei. SIGMOD Conference Companion Sen Gao, Jianwen Zhao, Hao Zhang, Shixuan Sun, Chen Liang, Gongye Chen, Wenliang Zhang, Bo Ren, Chao Liu, Chenyi Zhang, Quan Chen, Chao Li, Jingwen Leng, Minyi Guo
2025	—	`conf`	Gumbel Reranking: Differentiable End-to-End Reranker Optimization. ACL (1) Siyuan Huang, Zhiyuan Ma, Jintao Du, Changhua Meng, Weiqiang Wang, Jingwen Leng, Minyi Guo, Zhouhan Lin
2025	J	`jnl`	Gumbel Reranking: Differentiable End-to-End Reranker Optimization. CoRR Siyuan Huang, Zhiyuan Ma, Jintao Du, Changhua Meng, Weiqiang Wang, Jingwen Leng, Minyi Guo, Zhouhan Lin
2025	J	`jnl`	KINDRED: Heterogeneous Split-Lock Architecture for Safe Autonomous Machines. ACM Trans. Archit. Code Optim. Yiming Gan, Jingwen Leng, Bo Yu, Yuhao Zhu
2025	J	`jnl`	Lumina: Real-Time Mobile Neural Rendering by Exploiting Computational Redundancy. CoRR Yu Feng, Weikai Lin, Yuge Cheng, Zihan Liu, Jingwen Leng, Minyi Guo, Chen Chen, Shixuan Sun, Yuhao Zhu
2025	A*	`conf`	Lumina: Real-Time Neural Rendering by Exploiting Computational Redundancy. ISCA Yu Feng, Weikai Lin, Yuge Cheng, Zihan Liu, Jingwen Leng, Minyi Guo, Chen Chen, Shixuan Sun, Yuhao Zhu
2025	A*	`conf`	M-ANT: Efficient Low-bit Group Quantization for LLMs via Mathematically Adaptive Numerical Type. HPCA Weiming Hu, Haoyan Zhang, Cong Guo, Yu Feng, Renyang Guan, Zhendong Hua, Zihan Liu, Yue Guan, Minyi Guo, Jingwen Leng
2025	J	`jnl`	M-ANT: Efficient Low-bit Group Quantization for LLMs via Mathematically Adaptive Numerical Type. CoRR Weiming Hu, Haoyan Zhang, Cong Guo, Yu Feng, Renyang Guan, Zhendong Hua, Zihan Liu, Yue Guan, Minyi Guo, Jingwen Leng
2025	J	`jnl`	Nebula: Enable City-Scale 3D Gaussian Splatting in Virtual Reality via Collaborative Rendering and Accelerated Stereo Rasterization. CoRR He Zhu, Zheng Liu, Xingyang Li, Anbang Wu, Jieru Zhao, Fangxin Liu, Yiming Gan, Jingwen Leng, Yu Feng
2025	J	`jnl`	Nimbus: Secure and Efficient Two-Party Inference for Transformers. IACR Cryptol. ePrint Arch. Zhengyi Li, Kang Yang, Jin Tan, Wen-jie Lu, Haoqi Wu, Xiao Wang, Yu Yu, Derun Zhao, Yancheng Zheng, Minyi Guo, Jingwen Leng
2025	A*	`conf`	Rasengan: A Transition Hamiltonian-based Approximation Algorithm for Solving Constrained Binary Optimization Problems. MICRO Qifan Jiang, Liqiang Lu, Debin Xiang, Tianyao Chu, Tianze Zhu, Jingwen Leng, Yun Liang, Xiaoming Sun, Jianwei Yin
2025	A	`conf`	Repurpose Accel-Sim for Next Generation NVIDIA Jetson GPU Architectural Design. ISLPED Tianhao Huang, Lingyu Sun, Chao Li, Xiaofeng Hou, Yaqian Zhao, Jingwen Leng, Li Li, Minyi Guo
2025	A	`conf`	SLTarch: Towards Scalable Point-Based Neural Rendering by Taming Workload Imbalance and Memory Irregularity. ICCAD Xingyang Li, Jie Jiang, Yu Feng, Yiming Gan, Jieru Zhao, Zihan Liu, Jingwen Leng, Minyi Guo
2025	J	`jnl`	SLTarch: Towards Scalable Point-Based Neural Rendering by Taming Workload Imbalance and Memory Irregularity. CoRR Xingyang Li, Jie Jiang, Yu Feng, Yiming Gan, Jieru Zhao, Zihan Liu, Jingwen Leng, Minyi Guo
2025	J	`jnl`	SeeLe: A Unified Acceleration Framework for Real-Time Gaussian Splatting. CoRR Xiaotong Huang, He Zhu, Zihan Liu, Weikai Lin, Xiaohong Liu, Zhezhi He, Jingwen Leng, Minyi Guo, Yu Feng
2025	—	`conf`	SparseTem: Boosting the Efficiency of CNN-Based Video Encoders by Exploiting Temporal Continuity. APPT Kunyun Wang, Shuo Yang, Jieru Zhao, Wenchao Ding, Quan Chen, Jingwen Leng, Minyi Guo
2025	J	`jnl`	Splatonic: Architecture Support for 3D Gaussian Splatting SLAM via Sparse Processing. CoRR Xiaotong Huang, He Zhu, Tianrui Ma, Yuxiang Xiong, Fangxin Liu, Zhezhi He, Yiming Gan, Zihan Liu, Jingwen Leng, Yu Feng, Minyi Guo
2025	—	`conf`	StreamGrid: Streaming Point Cloud Analytics via Compulsory Splitting and Deterministic Termination. ASPLOS (2) Yu Feng, Zheng Liu, Weikai Lin, Zihan Liu, Jingwen Leng, Minyi Guo, Zhezhi He, Jieru Zhao, Yuhao Zhu
2025	J	`jnl`	StreamGrid: Streaming Point Cloud Analytics via Compulsory Splitting and Deterministic Termination. CoRR Yu Feng, Zheng Liu, Weikai Lin, Zihan Liu, Jingwen Leng, Minyi Guo, Zhezhi He, Jieru Zhao, Yuhao Zhu
2025	J	`jnl`	TIMERIPPLE: Accelerating vDiTs by Understanding the Spatio-Temporal Correlations in Latent Space. CoRR Wenxuan Miao, Yulin Sun, Aiyue Chen, Jing Lin, Yiwu Yao, Yiming Gan, Jieru Zhao, Jingwen Leng, Mingyi Guo, Yu Feng
2025	A*	`conf`	TreeKV: Smooth Key-Value Cache Compression with Tree Structures. IJCAI Ziwei He, Jian Yuan, Haoli Bai, Jingwen Leng, Bo Jiang
2025	J	`jnl`	TreeKV: Smooth Key-Value Cache Compression with Tree Structures. CoRR Ziwei He, Jian Yuan, Haoli Bai, Jingwen Leng, Bo Jiang
2025	A*	`conf`	VQ-LLM: High-performance Code Generation for Vector Quantization Augmented LLM Inference. HPCA Zihan Liu, Xinhao Luo, Junxian Guo, Wentao Ni, Yangjie Zhou, Yue Guan, Cong Guo, Weihao Cui, Yu Feng, Minyi Guo, Yuhao Zhu, Minjia Zhang, Chen Jin, Jingwen Leng
2025	J	`jnl`	VQ-LLM: High-performance Code Generation for Vector Quantization Augmented LLM Inference. CoRR Zihan Liu, Xinhao Luo, Junxian Guo, Wentao Ni, Yangjie Zhou, Yue Guan, Cong Guo, Weihao Cui, Yu Feng, Minyi Guo, Yuhao Zhu, Minjia Zhang, Jingwen Leng, Chen Jin
2025	A*	`conf`	Vegapunk: Accurate and Fast Decoding for Quantum LDPC Codes with Online Hierarchical Algorithm and Sparse Accelerator. MICRO Kaiwen Zhou, Liqiang Lu, Debin Xiang, Chenning Tao, Anbang Wu, Jingwen Leng, Fangxin Liu, Mingshuai Chen, Jianwei Yin
2025	—	`conf`	Voyager: Input-Adaptive Algebraic Transformations for High-Performance Graph Neural Networks. ASPLOS (3) Yangjie Zhou, Wenting Shen, Jingwen Leng, Shuwen Lu, Zihan Liu, Weihao Cui, Zhendong Zhang, Wencong Xiao, Baole Ai, Yong Li, Wei Lin, Deze Zeng, Yun Liang, Quan Chen, Ning Liu, Minyi Guo
2025	J	`jnl`	Voyager: Real-Time Splatting City-Scale 3D Gaussians on Your Phone. CoRR Zheng Liu, He Zhu, Xinyang Li, Yirun Wang, Yujiao Shi, Wei Li, Jingwen Leng, Minyi Guo, Yu Feng
2025	Misc	`conf`	WeightedKV: Attention Scores Weighted Key-Value Cache Merging for Large Language Models. ICASSP Jian Yuan, Ziwei He, Haoli Bai, Jingwen Leng, Bo Jiang
2025	J	`jnl`	WeightedKV: Attention Scores Weighted Key-Value Cache Merging for Large Language Models. CoRR Jian Yuan, Ziwei He, Haoli Bai, Jingwen Leng, Bo Jiang
2025	J	`jnl`	Yggdrasil: Bridging Dynamic Speculation and Static Runtime for Latency-Optimal Tree-Based LLM Decoding. CoRR Yue Guan, Changming Yu, Shihan Fang, Weiming Hu, Zaifeng Pan, Zheng Wang, Zihan Liu, Yangjie Zhou, Yufei Ding, Minyi Guo, Jingwen Leng
2025	J	`jnl`	eLLM: Elastic Memory Management Framework for Efficient LLM Serving. CoRR Jiale Xu, Rui Zhang, Yi Xiong, Cong Guo, Zihan Liu, Yangjie Zhou, Weiming Hu, Hao Wu, Changxu Shao, Ziqing Wang, Yongjie Yuan, Junping Zhao, Minyi Guo, Jingwen Leng
2024	A*	`conf`	A Tale of Two Domains: Exploring Efficient Architecture Design for Truly Autonomous Things. ISCA Xiaofeng Hou, Tongqiao Xu, Chao Li, Cheng Xu, Jiacheng Liu, Yang Hu, Jieru Zhao, Jingwen Leng, Kwang-Ting Cheng, Minyi Guo
2024	J	`jnl`	Accelerating Sparse DNNs Based on Tiled GEMM. CoRR Cong Guo, Fengchen Xue, Jingwen Leng, Yuxian Qiu, Yue Guan, Weihao Cui, Quan Chen, Minyi Guo
2024	J	`jnl`	Accelerating Sparse DNNs Based on Tiled GEMM. IEEE Trans. Computers Cong Guo, Fengchen Xue, Jingwen Leng, Yuxian Qiu, Yue Guan, Weihao Cui, Quan Chen, Minyi Guo
2024	—	`conf`	Amanda: Unified Instrumentation Framework for Deep Neural Networks. ASPLOS (1) Yue Guan, Yuxian Qiu, Jingwen Leng, Fan Yang, Shuo Yu, Yunxin Liu, Yu Feng, Yuhao Zhu, Lidong Zhou, Yun Liang, Chen Zhang, Chao Li, Minyi Guo
2024	A*	`conf`	Cicero: Addressing Algorithmic and Architectural Bottlenecks in Neural Rendering by Radiance Warping and Memory Optimizations. ISCA Yu Feng, Zihan Liu, Jingwen Leng, Minyi Guo, Yuhao Zhu
2024	J	`jnl`	Cicero: Addressing Algorithmic and Architectural Bottlenecks in Neural Rendering by Radiance Warping and Memory Optimizations. CoRR Yu Feng, Zihan Liu, Jingwen Leng, Minyi Guo, Yuhao Zhu
2024	Misc	`conf`	Fovea Transformer: Efficient Long-Context Modeling with Structured Fine-To-Coarse Attention. ICASSP Ziwei He, Jian Yuan, Le Zhou, Jingwen Leng, Bo Jiang
2024	—	`conf`	Fractal: Joint Multi-Level Sparse Pattern Tuning of Accuracy and Performance for DNN Pruning. ASPLOS (3) Yue Guan, Changming Yu, Yangjie Zhou, Jingwen Leng, Chao Li, Minyi Guo
2024	—	`conf`	GMLake: Efficient and Transparent GPU Memory Defragmentation for Large-scale DNN Training with Virtual Memory Stitching. ASPLOS (2) Cong Guo, Rui Zhang, Jiale Xu, Jingwen Leng, Zihan Liu, Ziyu Huang, Minyi Guo, Hao Wu, Shouren Zhao, Junping Zhao, Ke Zhang
2024	J	`jnl`	GMLake: Efficient and Transparent GPU Memory Defragmentation for Large-scale DNN Training with Virtual Memory Stitching. CoRR Cong Guo, Rui Zhang, Jiale Xu, Jingwen Leng, Zihan Liu, Ziyu Huang, Minyi Guo, Hao Wu, Shouren Zhao, Junping Zhao, Ke Zhang
2024	—	`conf`	JUNO: Optimizing High-Dimensional Approximate Nearest Neighbour Search with Sparsity-Aware Algorithm and Ray-Tracing Core Mapping. ASPLOS (2) Zihan Liu, Wentao Ni, Jingwen Leng, Yu Feng, Cong Guo, Quan Chen, Chao Li, Minyi Guo, Yuhao Zhu
2024	—	`conf`	MAGIS: Memory Optimization via Coordinated Graph Transformation and Scheduling for DNN. ASPLOS (3) Renze Chen, Zijian Ding, Size Zheng, Chengrui Zhang, Jingwen Leng, Xuanzhe Liu, Yun Liang
2024	A*	`conf`	Nimbus: Secure and Efficient Two-Party Inference for Transformers. NeurIPS Zhengyi Li, Kang Yang, Jin Tan, Wen-jie Lu, Haoqi Wu, Xiao Wang, Yu Yu, Derun Zhao, Yancheng Zheng, Minyi Guo, Jingwen Leng
2024	J	`jnl`	Nimbus: Secure and Efficient Two-Party Inference for Transformers. CoRR Zhengyi Li, Kang Yang, Jin Tan, Wen-jie Lu, Haoqi Wu, Xiao Wang, Yu Yu, Derun Zhao, Yancheng Zheng, Minyi Guo, Jingwen Leng
2024	J	`jnl`	Potamoi: Accelerating Neural Rendering via a Unified Streaming Architecture. CoRR Yu Feng, Weikai Lin, Zihan Liu, Jingwen Leng, Minyi Guo, Han Zhao, Xiaofeng Hou, Jieru Zhao, Yuhao Zhu
2024	J	`jnl`	Potamoi: Accelerating Neural Rendering via a Unified Streaming Architecture. ACM Trans. Archit. Code Optim. Yu Feng, Weikai Lin, Zihan Liu, Jingwen Leng, Minyi Guo, Han Zhao, Xiaofeng Hou, Jieru Zhao, Yuhao Zhu
2024	C	`conf`	SHEEO: Continuous Energy Efficiency Optimization in Autonomous Embedded Systems. ICCD Xinkai Wang, Chao Li, Lingyu Sun, Qizheng Lyu, Xiaofeng Hou, Jingwen Leng, Minyi Guo
2024	J	`jnl`	Towards Fast Setup and High Throughput of GPU Serverless Computing. CoRR Han Zhao, Weihao Cui, Quan Chen, Shulai Zhang, Zijun Li, Jingwen Leng, Chao Li, Deze Zeng, Minyi Guo
2024	J	`jnl`	Vortex: Efficient Sample-Free Dynamic Tensor Program Optimization via Hardware-aware Strategy Space Hierarchization. CoRR Yangjie Zhou, Honglin Zhu, Qian Qiu, Weihao Cui, Zihan Liu, Cong Guo, Siyuan Feng, Jintao Meng, Haidong Lan, Jingwen Leng, Wenxi Zhu, Minwen Deng
2024	J	`jnl`	vTensor: Flexible Virtual Tensor Management for Efficient LLM Serving. CoRR Jiale Xu, Rui Zhang, Cong Guo, Weiming Hu, Zihan Liu, Feiyang Wu, Yu Feng, Shixuan Sun, Changxu Shao, Yuhong Guo, Junping Zhao, Ke Zhang, Minyi Guo, Jingwen Leng
2023	J	`jnl`	Accelerating Generic Graph Neural Networks via Architecture, Compiler, Partition Method Co-Design. CoRR Shuwen Lu, Zhihui Zhang, Cong Guo, Jingwen Leng, Yangjie Zhou, Minyi Guo
2023	—	`conf`	AdaptGear: Accelerating GNN Training via Adaptive Subgraph-Level Kernels on GPUs. CF Yangjie Zhou, Yaoxu Song, Jingwen Leng, Zihan Liu, Weihao Cui, Zhendong Zhang, Cong Guo, Quan Chen, Li Li, Minyi Guo
2023	J	`jnl`	AdaptGear: Accelerating GNN Training via Adaptive Subgraph-Level Kernels on GPUs. CoRR Yangjie Zhou, Yaoxu Song, Jingwen Leng, Zihan Liu, Weihao Cui, Zhendong Zhang, Cong Guo, Quan Chen, Li Li, Minyi Guo
2023	A*	`conf`	Chimera: An Analytical Optimizing Framework for Effective Compute-intensive Operators Fusion. HPCA Size Zheng, Siyuan Chen, Peidi Song, Renze Chen, Xiuhong Li, Shengen Yan, Dahua Lin, Jingwen Leng, Yun Liang
2023	J	`jnl`	DFlow: Efficient Dataflow-based Invocation Workflow Execution for Function-as-a-Service. CoRR Xiaoxiang Shi, Chao Li, Zijun Li, Zihan Liu, Dianmo Sheng, Quan Chen, Jingwen Leng, Minyi Guo
2023	—	`conf`	DistSim: A performance model of large-scale hybrid distributed DNN training. CF Guandong Lu, Runzhe Chen, Yakai Wang, Yangjie Zhou, Rui Zhang, Zheng Hu, Yanming Miao, Zhifang Cai, Li Li, Jingwen Leng, Minyi Guo
2023	J	`jnl`	DistSim: A performance model of large-scale hybrid distributed DNN training. CoRR Guandong Lu, Runzhe Chen, Yakai Wang, Yangjie Zhou, Rui Zhang, Zheng Hu, Yanming Miao, Zhifang Cai, Li Li, Jingwen Leng, Minyi Guo
2023	A	`conf`	FIRST: Exploiting the Multi-Dimensional Attributes of Functions for Power-Aware Serverless Computing. IPDPS Lu Zhang, Chao Li, Xinkai Wang, Weiqi Feng, Zheng Yu, Quan Chen, Jingwen Leng, Minyi Guo, Pu Yang, Shang Yue
2023	—	`conf`	Fourier Transformer: Fast Long Range Modeling by Removing Sequence Redundancy with FFT Operator. ACL (Findings) Ziwei He, Meng Yang, Minwei Feng, Jingcheng Yin, Xinbing Wang, Jingwen Leng, Zhouhan Lin
2023	J	`jnl`	Fourier Transformer: Fast Long Range Modeling by Removing Sequence Redundancy with FFT Operator. CoRR Ziwei He, Meng Yang, Minwei Feng, Jingcheng Yin, Xinbing Wang, Jingwen Leng, Zhouhan Lin
2023	J	`jnl`	Fovea Transformer: Efficient Long-Context Modeling with Structured Fine-to-Coarse Attention. CoRR Ziwei He, Jian Yuan, Le Zhou, Jingwen Leng, Bo Jiang
2023	A*	`conf`	ImaGen: A General Framework for Generating Memory- and Power-Efficient Image Processing Accelerators. ISCA Nisarg Ujjainkar, Jingwen Leng, Yuhao Zhu
2023	J	`jnl`	ImaGen: A General Framework for Generating Memory- and Power-Efficient Image Processing Accelerators. CoRR Nisarg Ujjainkar, Jingwen Leng, Yuhao Zhu
2023	J	`jnl`	Improving Cluster Utilization Through Adaptive Resource Management for Deep Neural Network and CPU Jobs Colocation. IEEE Trans. Computers Han Zhao, Weihao Cui, Quan Chen, Jingwen Leng, Deze Zeng, Minyi Guo
2023	J	`jnl`	JUNO: Optimizing High-Dimensional Approximate Nearest Neighbour Search with Sparsity-Aware Algorithm and Ray-Tracing Core Mapping. CoRR Zihan Liu, Wentao Ni, Jingwen Leng, Yu Feng, Cong Guo, Quan Chen, Chao Li, Minyi Guo, Yuhao Zhu
2023	—	`conf`	Not All Resources are Visible: Exploiting Fragmented Shadow Resources in Shared-State Scheduler Architecture. SoCC Xinkai Wang, Hao He, Yuancheng Li, Chao Li, Xiaofeng Hou, Jing Wang, Quan Chen, Jingwen Leng, Minyi Guo, Leibo Wang
2023	A*	`conf`	OliVe: Accelerating Large Language Models via Hardware-friendly Outlier-Victim Pair Quantization. ISCA Cong Guo, Jiaming Tang, Weiming Hu, Jingwen Leng, Chen Zhang, Fan Yang, Yunxin Liu, Minyi Guo, Yuhao Zhu
2023	J	`jnl`	OliVe: Accelerating Large Language Models via Hardware-friendly Outlier-Victim Pair Quantization. CoRR Cong Guo, Jiaming Tang, Weiming Hu, Jingwen Leng, Chen Zhang, Fan Yang, Yunxin Liu, Minyi Guo, Yuhao Zhu
2023	A	`conf`	PAC: Preference-Aware Co-location Scheduling on Heterogeneous NUMA Architectures To Improve Resource Utilization. ICS Pu Pang, Yaoxuan Li, Bo Liu, Quan Chen, Zhou Yu, Zhibin Yu, Deze Zeng, Jingwen Leng, Jieru Zhao, Minyi Guo
2023	—	`conf`	uGrapher: High-Performance Graph Operator Computation via Unified Abstraction for Graph Neural Networks. ASPLOS (2) Yangjie Zhou, Jingwen Leng, Yaoxu Song, Shuwen Lu, Mian Wang, Chao Li, Minyi Guo, Wenting Shen, Yong Li, Wei Lin, Xiangwen Liu, Hanqing Wu
2022	A*	`conf`	ANT: Exploiting Adaptive Numerical Data Type for Low-bit Deep Neural Network Quantization. MICRO Cong Guo, Chen Zhang, Jingwen Leng, Zihan Liu, Fan Yang, Yunxin Liu, Minyi Guo, Yuhao Zhu
2022	J	`jnl`	ANT: Exploiting Adaptive Numerical Data Type for Low-bit Deep Neural Network Quantization. CoRR Cong Guo, Chen Zhang, Jingwen Leng, Zihan Liu, Fan Yang, Yunxin Liu, Minyi Guo, Yuhao Zhu
2022	A*	`conf`	Astraea: towards QoS-aware and resource-efficient multi-stage GPU services. ASPLOS Wei Zhang, Quan Chen, Kaihua Fu, Ningxin Zheng, Zhiyi Huang, Jingwen Leng, Minyi Guo
2022	A*	`conf`	Block-Skim: Efficient Question Answering for Transformer. AAAI Yue Guan, Zhengyi Li, Zhouhan Lin, Yuhao Zhu, Jingwen Leng, Minyi Guo
2022	A	`conf`	Braum: Analyzing and Protecting Autonomous Machine Software Stack. ISSRE Yiming Gan, Paul N. Whatmough, Jingwen Leng, Bo Yu, Shaoshan Liu, Yuhao Zhu
2022	A*	`conf`	EMS: efficient memory subsystem synthesis for spatial accelerators. DAC Liancheng Jia, Yuyue Wang, Jingwen Leng, Yun Liang
2022	J	`jnl`	Efficient Activation Quantization via Adaptive Rounding Border for Post-Training Quantization. CoRR Zhengyi Li, Cong Guo, Zhanda Zhu, Yangjie Zhou, Yuxian Qiu, Xiaotian Gao, Jingwen Leng, Minyi Guo
2022	C	`conf`	Nesting Forward Automatic Differentiation for Memory-Efficient Deep Neural Network Training. ICCD Cong Guo, Yuxian Qiu, Jingwen Leng, Chen Zhang, Ying Cao, Quanlu Zhang, Yunxin Liu, Fan Yang, Minyi Guo
2022	J	`jnl`	Nesting Forward Automatic Differentiation for Memory-Efficient Deep Neural Network Training. CoRR Cong Guo, Yuxian Qiu, Jingwen Leng, Chen Zhang, Ying Cao, Quanlu Zhang, Yunxin Liu, Fan Yang, Minyi Guo
2022	A	`conf`	PAME: precision-aware multi-exit DNN serving for reducing latencies of batched inferences. ICS Shulai Zhang, Weihao Cui, Quan Chen, Zhengnian Zhang, Yue Guan, Jingwen Leng, Chao Li, Minyi Guo
2022	J	`jnl`	SALO: An Efficient Spatial Accelerator Enabling Hybrid Sparse Attention Mechanisms for Long Sequences. CoRR Guan Shen, Jieru Zhao, Quan Chen, Jingwen Leng, Chao Li, Minyi Guo
2022	A*	`conf`	SALO: an efficient spatial accelerator enabling hybrid sparse attention mechanisms for long sequences. DAC Guan Shen, Jieru Zhao, Quan Chen, Jingwen Leng, Chao Li, Minyi Guo
2022	A*	`conf`	SQuant: On-the-Fly Data-Free Quantization via Diagonal Hessian Approximation. ICLR Cong Guo, Yuxian Qiu, Jingwen Leng, Xiaotian Gao, Chen Zhang, Yunxin Liu, Fan Yang, Yuhao Zhu, Minyi Guo
2022	J	`jnl`	SQuant: On-the-Fly Data-Free Quantization via Diagonal Hessian Approximation. CoRR Cong Guo, Yuxian Qiu, Jingwen Leng, Xiaotian Gao, Chen Zhang, Yunxin Liu, Fan Yang, Yuhao Zhu, Minyi Guo
2022	A*	`conf`	Tacker: Tensor-CUDA Core Kernel Fusion for Improving the GPU Utilization while Ensuring QoS. HPCA Han Zhao, Weihao Cui, Quan Chen, Youtao Zhang, Yanchao Lu, Chao Li, Jingwen Leng, Minyi Guo
2022	—	`conf`	Towards Reliable AI Applications via Algorithm-Based Fault Tolerance on NVDLA. MSN Mustafa Tarik Sanic, Cong Guo, Jingwen Leng, Minyi Guo, Weiyin Ma
2022	—	`conf`	Transkimmer: Transformer Learns to Layer-wise Skim. ACL (1) Yue Guan, Zhengyi Li, Jingwen Leng, Zhouhan Lin, Minyi Guo
2022	J	`jnl`	Transkimmer: Transformer Learns to Layer-wise Skim. CoRR Yue Guan, Zhengyi Li, Jingwen Leng, Zhouhan Lin, Minyi Guo
2022	J	`jnl`	VELTAIR: Towards High-Performance Multi-tenant Deep Learning Services via Adaptive Compilation and Scheduling. CoRR Zihan Liu, Jingwen Leng, Zhihui Zhang, Quan Chen, Chao Li, Minyi Guo
2022	A*	`conf`	VELTAIR: towards high-performance multi-tenant deep learning services via adaptive compilation and scheduling. ASPLOS Zihan Liu, Jingwen Leng, Zhihui Zhang, Quan Chen, Chao Li, Minyi Guo
2021	A	`conf`	AlphaR: Learning-Powered Resource Management for Irregular, Dynamic Microservice Graph. IPDPS Xiaofeng Hou, Chao Li, Jiacheng Liu, Lu Zhang, Shaolei Ren, Jingwen Leng, Quan Chen, Minyi Guo
2021	J	`jnl`	Block-Skim: Efficient Question Answering for Transformer. CoRR Yue Guan, Zhengyi Li, Jingwen Leng, Zhouhan Lin, Minyi Guo, Yuhao Zhu
2021	—	`conf`	Characterizing and Demystifying the Implicit Convolution Algorithm on Commercial Matrix-Multiplication Accelerators. IISWC Yangjie Zhou, Mengtian Yang, Cong Guo, Jingwen Leng, Yun Liang, Quan Chen, Minyi Guo, Yuhao Zhu
2021	J	`jnl`	Characterizing and Demystifying the Implicit Convolution Algorithm on Commercial Matrix-Multiplication Accelerators. CoRR Yangjie Zhou, Mengtian Yang, Cong Guo, Jingwen Leng, Yun Liang, Quan Chen, Minyi Guo, Yuhao Zhu
2021	A*	`conf`	Dual-side Sparse Tensor Core. ISCA Yang Wang, Chen Zhang, Zhiqiang Xie, Cong Guo, Yunxin Liu, Jingwen Leng
2021	J	`jnl`	Dual-side Sparse Tensor Core. CoRR Yang Wang, Chen Zhang, Zhiqiang Xie, Cong Guo, Yunxin Liu, Jingwen Leng
2021	B	`conf`	Dubhe: Towards Data Unbiasedness with Homomorphic Encryption in Federated Learning Client Selection. ICPP Shulai Zhang, Zirui Li, Quan Chen, Wenli Zheng, Jingwen Leng, Minyi Guo
2021	J	`jnl`	Dubhe: Towards Data Unbiasedness with Homomorphic Encryption in Federated Learning Client Selection. CoRR Shulai Zhang, Zirui Li, Quan Chen, Wenli Zheng, Jingwen Leng, Minyi Guo
2021	A	`conf`	Enable simultaneous DNN services based on deterministic operator overlap and precise latency prediction. SC Weihao Cui, Han Zhao, Quan Chen, Ningxin Zheng, Jingwen Leng, Jieru Zhao, Zhuo Song, Tao Ma, Yong Yang, Chao Li, Minyi Guo
2021	J	`jnl`	Erratum to "Predictive Guardbanding: Program-Driven Timing Margin Reduction for GPUs". IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Jingwen Leng, Alper Buyuktosunoglu, Ramon Bertran, Pradip Bose, Yazhou Zu, Vijay Janapa Reddi
2021	C	`conf`	Exploiting Intra-SM Parallelism in GPUs via Persistent and Elastic Blocks. ICCD Han Zhao, Weihao Cui, Quan Chen, Jieru Zhao, Jingwen Leng, Minyi Guo
2021	J	`jnl`	Predictive Guardbanding: Program-Driven Timing Margin Reduction for GPUs. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Jingwen Leng, Alper Buyuktosunoglu, Ramon Bertran, Pradip Bose, Yazhou Zu, Vijay Janapa Reddi
2021	B	`conf`	Skywalker: Efficient Alias-Method-Based Graph Sampling and Random Walk on GPUs. PACT Pengyu Wang, Chao Li, Jing Wang, Taolei Wang, Lu Zhang, Jingwen Leng, Quan Chen, Minyi Guo
2021	J	`jnl`	System-level Early-stage Modeling and Evaluation of IVR-assisted Processor Power Delivery System. ACM Trans. Archit. Code Optim. An Zou, Huifeng Zhu, Jingwen Leng, Xin He, Vijay Janapa Reddi, Christopher D. Gill, Xuan Zhang
2021	J	`jnl`	ZIPPER: Exploiting Tile- and Operator-level Parallelism for General and Scalable Graph Neural Network Acceleration. CoRR Zhihui Zhang, Jingwen Leng, Shuwen Lu, Youshan Miao, Yijia Diao, Minyi Guo, Chao Li, Yuhao Zhu
2020	J	`jnl`	Accelerating Sparse DNN Models without Hardware-Support via Tile-Wise Sparsity. CoRR Cong Guo, Bo Yang Hsueh, Jingwen Leng, Yuxian Qiu, Yue Guan, Zehuan Wang, Xiaoying Jia, Xipeng Li, Minyi Guo, Yuhao Zhu
2020	A	`conf`	Accelerating sparse DNN models without hardware-support via tile-wise sparsity. SC Cong Guo, Bo Yang Hsueh, Jingwen Leng, Yuxian Qiu, Yue Guan, Zehuan Wang, Xiaoying Jia, Xipeng Li, Minyi Guo, Yuhao Zhu
2020	J	`jnl`	Architectural Implications of Graph Neural Networks. IEEE Comput. Archit. Lett. Zhihui Zhang, Jingwen Leng, Lingxiao Ma, Youshan Miao, Chao Li, Minyi Guo
2020	J	`jnl`	Architectural Implications of Graph Neural Networks. CoRR Zhihui Zhang, Jingwen Leng, Lingxiao Ma, Youshan Miao, Chao Li, Minyi Guo
2020	A*	`conf`	Asymmetric Resilience: Exploiting Task-Level Idempotency for Transient Error Recovery in Accelerator-Based Systems. HPCA Jingwen Leng, Alper Buyuktosunoglu, Ramon Bertran, Pradip Bose, Quan Chen, Minyi Guo, Vijay Janapa Reddi
2020	A*	`conf`	Balancing Efficiency and Flexibility for DNN Acceleration via Temporal GPU-Systolic Array Integration. DAC Cong Guo, Yangjie Zhou, Jingwen Leng, Yuhao Zhu, Zidong Du, Quan Chen, Chao Li, Bin Yao, Minyi Guo
2020	J	`jnl`	Balancing Efficiency and Flexibility for DNN Acceleration via Temporal GPU-Systolic Array Integration. CoRR Cong Guo, Yangjie Zhou, Jingwen Leng, Yuhao Zhu, Zidong Du, Quan Chen, Chao Li, Minyi Guo, Bin Yao
2020	A	`conf`	CODA: Improving Resource Utilization by Slimming and Co-locating DNN and CPU Jobs. ICDCS Han Zhao, Weihao Cui, Quan Chen, Jingwen Leng, Kai Yu, Deze Zeng, Chao Li, Minyi Guo
2020	—	`conf`	DLFusion: An Auto-Tuning Compiler for Layer Fusion on Deep Neural Network Accelerator. ISPA/BDCloud/SocialCom/SustainCom Zihan Liu, Jingwen Leng, Quan Chen, Chao Li, Wenli Zheng, Li Li, Minyi Guo
2020	J	`jnl`	DLFusion: An Auto-Tuning Compiler for Layer Fusion on Deep Neural Network Accelerator. CoRR Zihan Liu, Jingwen Leng, Quan Chen, Chao Li, Wenli Zheng, Li Li, Minyi Guo
2020	J	`jnl`	Exceeding Conservative Limits: A Consolidated Analysis on Modern Hardware Margins. CoRR George Papadimitriou, Athanasios Chatzidimitriou, Dimitris Gizopoulos, Vijay Janapa Reddi, Jingwen Leng, Behzad Salami, Osman S. Unsal, Adrián Cristal Kestelman
2020	B	`conf`	How Far Does BERT Look At: Distance-based Clustering and Analysis of BERT's Attention. COLING Yue Guan, Jingwen Leng, Chao Li, Quan Chen, Minyi Guo
2020	J	`jnl`	How Far Does BERT Look At: Distance-based Clustering and Analysis of BERT's Attention. CoRR Yue Guan, Jingwen Leng, Chao Li, Quan Chen, Minyi Guo
2020	B	`conf`	Low-Latency Proactive Continuous Vision. PACT Yiming Gan, Yuxian Qiu, Lele Chen, Jingwen Leng, Yuhao Zhu
2020	B	`conf`	OVERSEE: Outsourcing Verification to Enable Resource Sharing in Edge Environment. ICPP Xiaoqing Cai, Jiuchen Shi, Rui Yuan, Chang Liu, Wenli Zheng, Quan Chen, Chao Li, Jingwen Leng, Minyi Guo
2020	J	`jnl`	Predicting and reining in application-level slowdown on spatial multitasking GPUs. J. Parallel Distributed Comput. Mengze Wei, Wenyi Zhao, Quan Chen, Hao Dai, Jingwen Leng, Chao Li, Wenli Zheng, Minyi Guo
2020	J	`jnl`	Probabilistic robust regression with adaptive weights - a case study on face recognition. Frontiers Comput. Sci. Jin Li, Quan Chen, Jingwen Leng, Weinan Zhang, Minyi Guo
2020	A*	`conf`	Ptolemy: Architecture Support for Robust Deep Learning. MICRO Yiming Gan, Yuxian Qiu, Jingwen Leng, Minyi Guo, Yuhao Zhu
2020	J	`jnl`	Ptolemy: Architecture Support for Robust Deep Learning. CoRR Yiming Gan, Yuxian Qiu, Jingwen Leng, Minyi Guo, Yuhao Zhu
2020	A	`conf`	Sturgeon: Preference-aware Co-location for Improving Utilization of Power Constrained Computers. IPDPS Pu Pang, Quan Chen, Deze Zeng, Chao Li, Jingwen Leng, Wenli Zheng, Minyi Guo
2020	J	`jnl`	Survey and design of paleozoic: a high-performance compiler tool chain for deep learning inference accelerator. CCF Trans. High Perform. Comput. Zihan Liu, Jingwen Leng, Guandong Lu, Chenhui Wang, Quan Chen, Minyi Guo
2020	J	`jnl`	Towards QoS-Aware and Resource-Efficient GPU Microservices Based on Spatial Multitasking GPUs In Datacenters. CoRR Wei Zhang, Quan Chen, Kaihua Fu, Ningxin Zheng, Zhiyi Huang, Jingwen Leng, Chao Li, Wenli Zheng, Minyi Guo
2020	B	`conf`	URSA: Precise Capacity Planning and Fair Scheduling based on Low-level Statistics for Public Clouds. ICPP Wei Zhang, Ningxin Zheng, Quan Chen, Yong Yang, Zhuo Song, Tao Ma, Jingwen Leng, Minyi Guo
2020	J	`jnl`	Voltage-Stacked Power Delivery Systems: Reliability, Efficiency, and Power Management. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. An Zou, Jingwen Leng, Xin He, Yazhou Zu, Christopher D. Gill, Vijay Janapa Reddi, Xuan Zhang
2019	A*	`conf`	Adversarial Defense Through Network Profiling Based Path Extraction. CVPR Yuxian Qiu, Jingwen Leng, Cong Guo, Quan Chen, Chao Li, Minyi Guo, Yuhao Zhu
2019	J	`jnl`	Adversarial Defense Through Network Profiling Based Path Extraction. CoRR Yuxian Qiu, Jingwen Leng, Cong Guo, Quan Chen, Chao Li, Minyi Guo, Yuhao Zhu
2019	J	`jnl`	Asymmetric Resilience for Accelerator-Rich Systems. IEEE Comput. Archit. Lett. Jingwen Leng, Alper Buyuktosunoglu, Ramon Bertran, Pradip Bose, Vijay Janapa Reddi
2019	A	`conf`	Avalon: towards QoS awareness and improved utilization through multi-resource management in datacenters. ICS Quan Chen, Zhenning Wang, Jingwen Leng, Chao Li, Wenli Zheng, Minyi Guo
2019	J	`jnl`	Bandwidth and Locality Aware Task-stealing for Manycore Architectures with Bandwidth-Asymmetric Memory. ACM Trans. Archit. Code Optim. Han Zhao, Quan Chen, Yuxian Qiu, Ming Wu, Yao Shen, Jingwen Leng, Chao Li, Minyi Guo
2019	C	`conf`	Characterizing Perception Module Performance and Robustness in Production-Scale Autonomous Driving System. NPC Alessandro Toschi, Mustafa Sanic, Jingwen Leng, Quan Chen, Chunlin Wang, Minyi Guo
2019	J	`jnl`	DR Refresh: Releasing DRAM Potential by Enabling Read Accesses Under Refresh. IEEE Trans. Computers Yuhai Cao, Chao Li, Jing Wang, Weigong Zhang, Quan Chen, Jingwen Leng, Bin Yao, Yao Shen, Minyi Guo
2019	C	`conf`	Ebird: Elastic Batch for Improving Responsiveness and Throughput of Deep Learning Services. ICCD Weihao Cui, Mengze Wei, Quan Chen, Xiaoxin Tang, Jingwen Leng, Li Li, Mingyi Guo
2019	C	`conf`	Modern Hardware Margins: CPUs, GPUs, FPGAs Recent System-Level Studies. IOLTS Dimitris Gizopoulos, George Papadimitriou, Athanasios Chatzidimitriou, Vijay Janapa Reddi, Behzad Salami, Osman S. Unsal, Adrián Cristal Kestelman, Jingwen Leng
2019	J	`jnl`	SVSoC: Speculative Vision Systems-on-a-Chip. IEEE Comput. Archit. Lett. Yiming Gan, Yuxian Qiu, Jingwen Leng, Yuhao Zhu
2019	A	`conf`	Themis: Predicting and Reining in Application-Level Slowdown on Spatial Multitasking GPUs. IPDPS Wenyi Zhao, Quan Chen, Hao Lin, Jianfeng Zhang, Jingwen Leng, Chao Li, Wenli Zheng, Li Li, Minyi Guo
2018	C	`conf`	DR DRAM: Accelerating Memory-Read-Intensive Applications. ICCD Yuhai Cao, Chao Li, Quan Chen, Jingwen Leng, Minyi Guo, Jing Wang, Weigong Zhang
2018	A*	`conf`	Efficient and reliable power delivery in voltage-stacked manycore system with hybrid charge-recycling regulators. DAC An Zou, Jingwen Leng, Xin He, Yazhou Zu, Vijay Janapa Reddi, Xuan Zhang
2018	A*	`conf`	Voltage-Stacked GPUs: A Control Theory Driven Cross-Layer Solution for Practical Voltage Stacking in GPUs. MICRO An Zou, Jingwen Leng, Xin He, Yazhou Zu, Christopher D. Gill, Vijay Janapa Reddi, Xuan Zhang
2017	A*	`conf`	Ivory: Early-Stage Design Space Exploration Tool for Integrated Voltage Regulators. DAC An Zou, Jingwen Leng, Yazhou Zu, Tao Tong, Vijay Janapa Reddi, David M. Brooks, Gu-Yeon Wei, Xuan Zhang
2015	A*	`conf`	Adaptive guardband scheduling to improve system-level efficiency of the POWER7+. MICRO Yazhou Zu, Charles R. Lefurgy, Jingwen Leng, Matthew Halpern, Michael S. Floyd, Vijay Janapa Reddi
2015	A*	`conf`	GPU voltage noise: Characterization and hierarchical smoothing of spatial and temporal voltage noise interference in GPU architectures. HPCA Jingwen Leng, Yazhou Zu, Vijay Janapa Reddi
2015	A*	`conf`	Safe limits on voltage reduction efficiency in GPUs: a direct measurement approach. MICRO Jingwen Leng, Alper Buyuktosunoglu, Ramon Bertran, Pradip Bose, Vijay Janapa Reddi
2014	J	`jnl`	Exploiting Webpage Characteristics for Energy-Efficient Mobile Web Browsing. IEEE Comput. Archit. Lett. Yuhao Zhu, Aditya Srikanth, Jingwen Leng, Vijay Janapa Reddi
2014	A	`conf`	GPUVolt: modeling and characterizing voltage noise in GPU architectures. ISLPED Jingwen Leng, Yazhou Zu, Minsoo Rhu, Meeta Sharma Gupta, Vijay Janapa Reddi
2013	A*	`conf`	A locality-aware memory hierarchy for energy-efficient GPU architectures. MICRO Minsoo Rhu, Michael B. Sullivan, Jingwen Leng, Mattan Erez
2013	A*	`conf`	GPUWattch: enabling energy optimizations in GPGPUs. ISCA Jingwen Leng, Tayler H. Hetherington, Ahmed ElTantawy, Syed Zohaib Gilani, Nam Sung Kim, Tor M. Aamodt, Vijay Janapa Reddi