Yufei Ding - RankMe

174 papers A* 47A 12B 6C 1Misc 2Journal 84Unranked 22

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	AutoOverlap: Enabling Fine-Grained Overlap of Computation and Communication with Chunk-Based Scheduling. CoRR Xinwei Qiang, Yue Guan, Zhengding Hu, Yufei Ding, Adnan Aziz
2026	J	`jnl`	ChipBench: A Next-Step Benchmark for Evaluating LLM Performance in AI-Aided Chip Design. CoRR Zhongkai Yu, Chenyang Zhou, Yichen Lin, Hejia Zhang, Haotian Ye, Junxia Cui, Zaifeng Pan, Jishen Zhao, Yufei Ding
2026	J	`jnl`	Pancake: Hierarchical Memory System for Multi-Agent LLM Serving. CoRR Zhengding Hu, Zaifeng Pan, Prabhleen Kaur, Vibha Murthy, Zhongkai Yu, Yue Guan, Zhen Wang, Steven Swanson, Yufei Ding
2026	A	`conf`	Proton: Towards Multi-level, Adaptive Profiling for Triton. CGO Keren Zhou, Tianle Zhong, Hao Wu, Jihyeong Lee, Yue Guan, Yufei Ding, Corbin Robeck, Yuanwei Fang, Jeff Niu, Philippe Tillet
2026	A*	`conf`	SFD: Towards Segment Fusion Dataflow for Spatial Accelerators. HPCA Fuyu Wang, Minghua Shen, Yufei Ding, Nong Xiao, Yutong Lu
2026	J	`jnl`	ScaleSim: Serving Large-Scale Multi-Agent Simulation with Invocation Distance-Based Memory Management. CoRR Zaifeng Pan, Yipeng Shen, Zhengding Hu, Zhuang Wang, Aninda Manocha, Zheng Wang, Zhongkai Yu, Yue Guan, Yufei Ding
2026	J	`jnl`	TritonDFT: Automating DFT with a Multi-Agent Framework. CoRR Zhengding Hu, Kuntal Talit, Zhen Wang, Haseeb Ahmad, Yichen Lin, Prabhleen Kaur, Christopher Lane, Elizabeth A. Peterson, Zhiting Hu, Elizabeth A. Nowadnick, Yufei Ding
2026	—	`conf`	iSwitch: QEC on Demand via In-Situ Encoding of Bare Qubits for Ion Trap Architectures. ASPLOS (2) Keyi Yin, Xiang Fang, Zhuo Chen, David Hayes, Eneet Kaur, Reza Nejabati, Hartmut Haeffner, Wes Campbell, Eric R. Hudson, Jens Palsberg, Travis S. Humble, Yufei Ding
2025	A*	`conf`	CaliQEC: In-situ Qubit Calibration for Surface Code Quantum Error Correction. ISCA Xiang Fang, Keyi Yin, Yuchen Zhu, Jixuan Ruan, Dean Tullsen, Zhiding Liang, Andrew Sornborger, Ang Li, Travis S. Humble, Yufei Ding, Yunong Shi
2025	—	`conf`	FastTree: Optimizing Attention Kernel and Runtime for Tree-Structured LLM Inference. MLSys Zaifeng Pan, Yitong Ding, Yue Guan, Zheng Wang, Zhongkai Yu, Xulong Tang, Yida Wang, Yufei Ding
2025	—	`conf`	GMI-DRL: Empowering Multi-GPU DRL with Adaptive-Grained Parallelism. USENIX ATC Yuke Wang, Boyuan Feng, Zheng Wang, Guyue Huang, Tony Tong Geng, Ang Li, Yufei Ding
2025	A*	`conf`	Hardware-aware Calibration Protocol for Quantum Computers. ISCA Yuchen Zhu, Jinglei Cheng, Boxi Li, Kecheng Liu, Yidong Zhou, Hanrui Wang, Yufei Ding, Zhiding Liang
2025	A*	`conf`	HedraRAG: Co-Optimizing Generation and Retrieval for Heterogeneous RAG Workflows. SOSP Zhengding Hu, Vibha Murthy, Zaifeng Pan, Wanlu Li, Xiaoyi Fang, Yufei Ding, Yuke Wang
2025	J	`jnl`	HedraRAG: Coordinating LLM Generation and Database Retrieval in Heterogeneous RAG Serving. CoRR Zhengding Hu, Vibha Murthy, Zaifeng Pan, Wanlu Li, Xiaoyi Fang, Yufei Ding, Yuke Wang
2025	—	`conf`	HetEC: Architectures for Heterogeneous Quantum Error Correction Codes. ASPLOS (2) Samuel A. Stein, Shifan Xu, Andrew W. Cross, Theodore J. Yoder, Ali Javadi-Abhari, Chenxu Liu, Kun Liu, Zeyuan Zhou, Charlie Guinn, Yufei Ding, Yongshan Ding, Ang Li
2025	A*	`conf`	KPerfIR: Towards a Open and Compiler-centric Ecosystem for GPU Kernel Performance Tooling on Modern AI Workloads. OSDI Yue Guan, Yuanwei Fang, Keren Zhou, Corbin Robeck, Manman Ren, Zhongkai Yu, Yufei Ding, Adnan Aziz
2025	J	`jnl`	KPerfIR: Towards an Open and Compiler-centric Ecosystem for GPU Kernel Performance Tooling on Modern AI Workloads. CoRR Yue Guan, Yuanwei Fang, Keren Zhou, Corbin Robeck, Manman Ren, Zhongkai Yu, Yufei Ding, Adnan Aziz
2025	J	`jnl`	KVFlow: Efficient Prefix Caching for Accelerating LLM-Based Multi-Agent Workflows. CoRR Zaifeng Pan, Ajjkumar Patel, Zhengding Hu, Yipeng Shen, Yue Guan, Wan-Lu Li, Lianhui Qin, Yida Wang, Yufei Ding
2025	A*	`conf`	Mercury: Unlocking Multi-GPU Operator Optimization for LLMs via Remote Memory Scheduling. SOSP Yue Guan, Xinwei Qiang, Zaifeng Pan, Daniels Johnson, Yuanwei Fang, Keren Zhou, Yuke Wang, Wanlu Li, Yufei Ding, Adnan Aziz
2025	A*	`conf`	Mutual Effort for Efficiency: A Similarity-based Token Pruning for Vision Transformers in Self-Supervised Learning. ICLR Sheng Li, Qitao Tan, Yue Dai, Zhenglun Kong, Tianyu Wang, Jun Liu, Ao Li, Ninghao Liu, Yufei Ding, Xulong Tang, Geng Yuan
2025	J	`jnl`	OneAdapt: Adaptive Compilation for Resource-Constrained Photonic One-Way Quantum Computing. CoRR Hezi Zhang, Jixuan Ruan, Dean Tullsen, Yufei Ding, Ang Li, Travis S. Humble
2025	A*	`conf`	OneAdapt: Resource-Adaptive Compilation of Measurement-Based Quantum Computing for Photonic Hardware. MICRO Hezi Zhang, Jixuan Ruan, Dean Tullsen, Yufei Ding, Ang Li, Travis S. Humble
2025	J	`jnl`	Orders in Chaos: Enhancing Large-Scale MoE LLM Serving with Data Movement Forecasting. CoRR Zhongkai Yu, Yue Guan, Zihao Yu, Chenyang Zhou, Shuyi Pei, Yangwook Kang, Yufei Ding, Po-An Tsai
2025	—	`conf`	PowerMove: Optimizing Compilation for Neutral Atom Quantum Computers with Zoned Architecture. ASPLOS (3) Jixuan Ruan, Xiang Fang, Hezi Zhang, Ang Li, Travis S. Humble, Yufei Ding
2025	A*	`conf`	Push Multicast: A Speculative and Coherent Interconnect for Mitigating Manycore CPU Communication Bottleneck. HPCA Jiayi Huang, Yanhua Chen, Zhe Wang, Christopher J. Hughes, Yufei Ding, Yuan Xie
2025	—	`conf`	QECC-Synth: A Layout Synthesizer for Quantum Error Correction Codes on Sparse Architectures. ASPLOS (1) Keyi Yin, Hezi Zhang, Xiang Fang, Yunong Shi, Travis S. Humble, Ang Li, Yufei Ding
2025	A*	`conf`	SwitchQNet: Optimizing Distributed Quantum Computing for Quantum Data Centers with Switch Networks. ISCA Hezi Zhang, Yiran Xu, Haotian Hu, Keyi Yin, Hassan Shapourian, Jiapeng Zhao, Ramana Rao Kompella, Reza Nejabati, Yufei Ding
2025	A*	`conf`	TRACI: Network Acceleration of Input-Dynamic Communication for Large-Scale Deep Learning Recommendation Model. ISCA Guyue Huang, Hao Li, Le Qin, Jiayi Huang, Yangwook Kang, Yufei Ding, Yuan Xie
2025	A*	`conf`	WLB-LLM: Workload-Balanced 4D Parallelism for Large Language Model Training. OSDI Zheng Wang, Anna Cai, Xinfeng Xie, Zaifeng Pan, Yue Guan, Weiwei Chu, Jie Wang, Shikai Li, Jianyu Huang, Chris Cai, Yuchen Hao, Yufei Ding
2025	J	`jnl`	WLB-LLM: Workload-Balanced 4D Parallelism for Large Language Model Training. CoRR Zheng Wang, Anna Cai, Xinfeng Xie, Zaifeng Pan, Yue Guan, Weiwei Chu, Jie Wang, Shikai Li, Jianyu Huang, Chris Cai, Yuchen Hao, Yufei Ding
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
2024	—	`conf`	EVT: Accelerating Deep Learning Training with Epilogue Visitor Tree. ASPLOS (3) Zhaodong Chen, Andrew Kerr, Richard Cai, Jack Kosaian, Haicheng Wu, Yufei Ding, Yuan Xie
2024	J	`jnl`	Improving GPU Multi-Tenancy Through Dynamic Multi-Instance GPU Reconfiguration. CoRR Tianyu Wang, Sheng Li, Bingyao Li, Yue Dai, Ao Li, Geng Yuan, Yufei Ding, Youtao Zhang, Xulong Tang
2024	—	`conf`	MECH: Multi-Entry Communication Highway for Superconducting Quantum Chiplets. ASPLOS (2) Hezi Zhang, Keyi Yin, Anbang Wu, Hassan Shapourian, Alireza Shabani, Yufei Ding
2024	—	`conf`	OPER: Optimality-Guided Embedding Table Parallelization for Large-scale Recommendation Model. USENIX ATC Zheng Wang, Yuke Wang, Boyuan Feng, Guyue Huang, Dheevatsa Mudigere, Bharath Muthiah, Ang Li, Yufei Ding
2024	—	`conf`	OnePerc: A Randomness-aware Compiler for Photonic Quantum Computing. ASPLOS (3) Hezi Zhang, Jixuan Ruan, Hassan Shapourian, Ramana Rao Kompella, Yufei Ding
2024	—	`conf`	RAP: Resource-aware Automated GPU Sharing for Multi-GPU Recommendation Model Training and Input Preprocessing. ASPLOS (2) Zheng Wang, Yuke Wang, Jiaqi Deng, Da Zheng, Ang Li, Yufei Ding
2024	A	`conf`	RecFlex: Enabling Feature Heterogeneity-Aware Optimization for Deep Recommendation Models with Flexible Schedules. SC Zaifeng Pan, Zhen Zheng, Feng Zhang, Bing Xie, Ruofan Wu, Shaden Smith, Chuanjie Liu, Olatunji Ruwase, Xiaoyong Du, Yufei Ding
2024	A*	`conf`	Soter: Analytical Tensor-Architecture Modeling and Automatic Tensor Program Tuning for Spatial Accelerators. ISCA Fuyu Wang, Minghua Shen, Yufei Ding, Nong Xiao
2024	A*	`conf`	Surf-Deformer: Mitigating Dynamic Defects on Surface Code via Adaptive Deformation. MICRO Keyi Yin, Xiang Fang, Travis S. Humble, Ang Li, Yunong Shi, Yufei Ding
2024	—	`conf`	ZENO: A Type-based Optimization Framework for Zero Knowledge Neural Network Inference. ASPLOS (1) Boyuan Feng, Zheng Wang, Yuke Wang, Shu Yang, Yufei Ding
2023	J	`jnl`	A Geometrical Approach to Evaluate the Adversarial Robustness of Deep Neural Networks. CoRR Yang Wang, Bo Dong, Ke Xu, Haiyin Piao, Yufei Ding, Baocai Yin, Xin Yang
2023	J	`jnl`	A Geometrical Approach to Evaluate the Adversarial Robustness of Deep Neural Networks. ACM Trans. Multim. Comput. Commun. Appl. Yang Wang, Bo Dong, Ke Xu, Haiyin Piao, Yufei Ding, Baocai Yin, Xin Yang
2023	—	`conf`	ALCOP: Automatic Load-Compute Pipelining in Deep Learning Compiler for AI-GPUs. MLSys Guyue Huang, Yang Bai, Liu Liu, Yuke Wang, Bei Yu, Yufei Ding, Yuan Xie
2023	J	`jnl`	Comprehensive SNN Compression Using ADMM Optimization and Activity Regularization. IEEE Trans. Neural Networks Learn. Syst. Lei Deng, Yujie Wu, Yifan Hu, Ling Liang, Guoqi Li, Xing Hu, Yufei Ding, Peng Li, Yuan Xie
2023	B	`conf`	Dynamic N: M Fine-Grained Structured Sparse Attention Mechanism. PPoPP Zhaodong Chen, Zheng Qu, Yuying Quan, Liu Liu, Yufei Ding, Yuan Xie
2023	A*	`conf`	ECSSD: Hardware/Data Layout Co-Designed In-Storage-Computing Architecture for Extreme Classification. ISCA Siqi Li, Fengbin Tu, Liu Liu, Jilan Lin, Zheng Wang, Yangwook Kang, Yufei Ding, Yuan Xie
2023	J	`jnl`	Exploring Adversarial Attack in Spiking Neural Networks With Spike-Compatible Gradient. IEEE Trans. Neural Networks Learn. Syst. Ling Liang, Xing Hu, Lei Deng, Yujie Wu, Guoqi Li, Yufei Ding, Peng Li, Yuan Xie
2023	A*	`conf`	MGG: Accelerating Graph Neural Networks with Fine-Grained Intra-Kernel Communication-Computation Pipelining on Multi-GPU Platforms. OSDI Yuke Wang, Boyuan Feng, Zheng Wang, Tong Geng, Kevin J. Barker, Ang Li, Yufei Ding
2023	J	`jnl`	MPU: Memory-centric SIMT Processor via In-DRAM Near-bank Computing. ACM Trans. Archit. Code Optim. Xinfeng Xie, Peng Gu, Yufei Ding, Dimin Niu, Hongzhong Zheng, Yuan Xie
2023	A	`conf`	On Adversarial Robustness of Point Cloud Semantic Segmentation. DSN Jiacen Xu, Zhe Zhou, Boyuan Feng, Yufei Ding, Zhou Li
2023	A*	`conf`	OneQ: A Compilation Framework for Photonic One-Way Quantum Computation. ISCA Hezi Zhang, Anbang Wu, Yuke Wang, Gushu Li, Hassan Shapourian, Alireza Shabani, Yufei Ding
2023	A*	`conf`	Q-BEEP: Quantum Bayesian Error Mitigation Employing Poisson Modeling over the Hamming Spectrum. ISCA Samuel A. Stein, Nathan Wiebe, Yufei Ding, James Ang, Ang Li
2023	—	`conf`	QASMTrans: A QASM Quantum Transpiler Framework for NISQ Devices. SC Workshops Fei Hua, Meng Wang, Gushu Li, Bo Peng, Chenxu Liu, Muqing Zheng, Samuel A. Stein, Yufei Ding, Eddy Z. Zhang, Travis S. Humble, Ang Li
2023	A*	`conf`	QuComm: Optimizing Collective Communication for Distributed Quantum Computing. MICRO Anbang Wu, Yufei Ding, Ang Li
2023	A*	`conf`	RM-STC: Row-Merge Dataflow Inspired GPU Sparse Tensor Core for Energy-Efficient Sparse Acceleration. MICRO Guyue Huang, Zhengyang Wang, Po-An Tsai, Chen Zhang, Yufei Ding, Yuan Xie
2023	J	`jnl`	ReDCIM: Reconfigurable Digital Computing- In -Memory Processor With Unified FP/INT Pipeline for Cloud AI Acceleration. IEEE J. Solid State Circuits Fengbin Tu, Yiqi Wang, Zihan Wu, Ling Liang, Yufei Ding, Bongjin Kim, Leibo Liu, Shaojun Wei, Yuan Xie, Shouyi Yin
2023	J	`jnl`	SDP: Co-Designing Algorithm, Dataflow, and Architecture for In-SRAM Sparse NN Acceleration. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Fengbin Tu, Yiqi Wang, Ling Liang, Yufei Ding, Leibo Liu, Shaojun Wei, Shouyi Yin, Yuan Xie
2023	J	`jnl`	SPG: Structure-Private Graph Database via SqueezePIR. Proc. VLDB Endow. Ling Liang, Jilan Lin, Zheng Qu, Ishtiyaque Ahmad, Fengbin Tu, Trinabh Gupta, Yufei Ding, Yuan Xie
2023	—	`conf`	TC-GNN: Bridging Sparse GNN Computation and Dense Tensor Cores on GPUs. USENIX ATC Yuke Wang, Boyuan Feng, Zheng Wang, Guyue Huang, Yufei Ding
2023	J	`jnl`	TranCIM: Full-Digital Bitline-Transpose CIM-based Sparse Transformer Accelerator With Pipeline/Parallel Reconfigurable Modes. IEEE J. Solid State Circuits Fengbin Tu, Zihan Wu, Yiqi Wang, Ling Liang, Liu Liu, Yufei Ding, Leibo Liu, Shaojun Wei, Yuan Xie, Shouyi Yin
2022	—	`conf`	A 28nm 15.59µJ/Token Full-Digital Bitline-Transpose CIM-Based Sparse Transformer Accelerator with Pipeline/Parallel Reconfigurable Modes. ISSCC Fengbin Tu, Zihan Wu, Yiqi Wang, Ling Liang, Liu Liu, Yufei Ding, Leibo Liu, Shaojun Wei, Yuan Xie, Shouyi Yin
2022	—	`conf`	A 28nm 29.2TFLOPS/W BF16 and 36.5TOPS/W INT8 Reconfigurable Digital CIM Processor with Unified FP/INT Pipeline and Bitwise In-Memory Booth Multiplication for Cloud Deep Learning Acceleration. ISSCC Fengbin Tu, Yiqi Wang, Zihan Wu, Ling Liang, Yufei Ding, Bongjin Kim, Leibo Liu, Shaojun Wei, Yuan Xie, Shouyi Yin
2022	J	`jnl`	A Systematic View of Model Leakage Risks in Deep Neural Network Systems. IEEE Trans. Computers Xing Hu, Ling Liang, Xiaobing Chen, Lei Deng, Yu Ji, Yufei Ding, Zidong Du, Qi Guo, Timothy Sherwood, Yuan Xie
2022	A*	`conf`	A synthesis framework for stitching surface code with superconducting quantum devices. ISCA Anbang Wu, Gushu Li, Hezi Zhang, Gian Giacomo Guerreschi, Yufei Ding, Yuan Xie
2022	A*	`conf`	AutoComm: A Framework for Enabling Efficient Communication in Distributed Quantum Programs. MICRO Anbang Wu, Hezi Zhang, Gushu Li, Alireza Shabani, Yuan Xie, Yufei Ding
2022	A*	`conf`	Biologically Inspired Dynamic Thresholds for Spiking Neural Networks. NeurIPS Jianchuan Ding, Bo Dong, Felix Heide, Yufei Ding, Yunduo Zhou, Baocai Yin, Xin Yang
2022	J	`jnl`	Biologically Inspired Dynamic Thresholds for Spiking Neural Networks. CoRR Jianchuan Ding, Bo Dong, Felix Heide, Yufei Ding, Yunduo Zhou, Baocai Yin, Xin Yang
2022	J	`jnl`	CollComm: Enabling Efficient Collective Quantum Communication Based on EPR buffering. CoRR Anbang Wu, Yufei Ding, Ang Li
2022	A*	`conf`	DOTA: detect and omit weak attentions for scalable transformer acceleration. ASPLOS Zheng Qu, Liu Liu, Fengbin Tu, Zhaodong Chen, Yufei Ding, Yuan Xie
2022	J	`jnl`	Dynamic N: M Fine-grained Structured Sparse Attention Mechanism. CoRR Zhaodong Chen, Yuying Quan, Zheng Qu, Liu Liu, Yufei Ding, Yuan Xie
2022	J	`jnl`	Dynamic Sparse Attention for Scalable Transformer Acceleration. IEEE Trans. Computers Liu Liu, Zheng Qu, Zhaodong Chen, Fengbin Tu, Yufei Ding, Yuan Xie
2022	A	`conf`	EL-Rec: Efficient Large-Scale Recommendation Model Training via Tensor-Train Embedding Table. SC Zheng Wang, Yuke Wang, Boyuan Feng, Dheevatsa Mudigere, Bharath Muthiah, Yufei Ding
2022	A*	`conf`	EQC: ensembled quantum computing for variational quantum algorithms. ISCA Samuel A. Stein, Nathan Wiebe, Yufei Ding, Bo Peng, Karol Kowalski, Nathan A. Baker, James Ang, Ang Li
2022	J	`jnl`	Empowering GNNs with Fine-grained Communication-Computation Pipelining on Multi-GPU Platforms. CoRR Yuke Wang, Boyuan Feng, Zheng Wang, Tong Geng, Kevin J. Barker, Ang Li, Yufei Ding
2022	J	`jnl`	Enabling Data Movement and Computation Pipelining in Deep Learning Compiler. CoRR Guyue Huang, Yang Bai, Liu Liu, Yuke Wang, Bei Yu, Yufei Ding, Yuan Xie
2022	—	`conf`	Faith: An Efficient Framework for Transformer Verification on GPUs. USENIX ATC Boyuan Feng, Tianqi Tang, Yuke Wang, Zhaodong Chen, Zheng Wang, Shu Yang, Yuan Xie, Yufei Ding
2022	J	`jnl`	Faith: An Efficient Framework for Transformer Verification on GPUs. CoRR Boyuan Feng, Tianqi Tang, Yuke Wang, Zhaodong Chen, Zheng Wang, Shu Yang, Yuan Xie, Yufei Ding
2022	J	`jnl`	GMI-DRL: Empowering Multi-GPU Deep Reinforcement Learning with GPU Spatial Multiplexing. CoRR Yuke Wang, Boyuan Feng, Zheng Wang, Tong Geng, Ang Li, Yufei Ding
2022	J	`jnl`	Heuristic Adaptability to Input Dynamics for SpMM on GPUs. CoRR Guohao Dai, Guyue Huang, Shang Yang, Zhongming Yu, Hengrui Zhang, Yufei Ding, Yuan Xie, Huazhong Yang, Yu Wang
2022	A*	`conf`	Heuristic adaptability to input dynamics for SpMM on CPUs. DAC Guohao Dai, Guyue Huang, Shang Yang, Zhongming Yu, Hengrui Zhang, Yufei Ding, Yuan Xie, Huazhong Yang, Yu Wang
2022	A*	`conf`	INSPIRE: in-storage private information retrieval via protocol and architecture co-design. ISCA Jilan Lin, Ling Liang, Zheng Qu, Ishtiyaque Ahmad, Liu Liu, Fengbin Tu, Trinabh Gupta, Yufei Ding, Yuan Xie
2022	A	`conf`	LightSeq2: Accelerated Training for Transformer-Based Models on GPUs. SC Xiaohui Wang, Yang Wei, Ying Xiong, Guyue Huang, Xian Qian, Yufei Ding, Mingxuan Wang, Lei Li
2022	J	`jnl`	MPU-Sim: A Simulator for In-DRAM Near-Bank Processing Architectures. IEEE Comput. Archit. Lett. Xinfeng Xie, Peng Gu, Jiayi Huang, Yufei Ding, Yuan Xie
2022	A*	`conf`	Paulihedral: a generalized block-wise compiler optimization framework for Quantum simulation kernels. ASPLOS Gushu Li, Anbang Wu, Yunong Shi, Ali Javadi-Abhari, Yufei Ding, Yuan Xie
2022	B	`conf`	QGTC: accelerating quantized graph neural networks via GPU tensor core. PPoPP Yuke Wang, Boyuan Feng, Yufei Ding
2022	J	`jnl`	Quantum and Post-Moore's Law Computing. IEEE Internet Comput. Yufei Ding, Ali Javadi-Abhari
2022	J	`jnl`	Rubik: A Hierarchical Architecture for Efficient Graph Neural Network Training. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Xiaobing Chen, Yuke Wang, Xinfeng Xie, Xing Hu, Abanti Basak, Ling Liang, Mingyu Yan, Lei Deng, Yufei Ding, Zidong Du, Yuan Xie
2022	J	`jnl`	STPAcc: Structural TI-Based Pruning for Accelerating Distance-Related Algorithms on CPU-FPGA Platforms. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. Yuke Wang, Boyuan Feng, Gushu Li, Lei Deng, Yuan Xie, Yufei Ding
2022	J	`jnl`	Shfl-BW: Accelerating Deep Neural Network Inference with Tensor-Core Aware Weight Pruning. CoRR Guyue Huang, Haoran Li, Minghai Qin, Fei Sun, Yufei Ding, Yuan Xie
2022	A*	`conf`	Shfl-BW: accelerating deep neural network inference with tensor-core aware weight pruning. DAC Guyue Huang, Haoran Li, Minghai Qin, Fei Sun, Yufei Ding, Yuan Xie
2022	—	`conf`	Understanding GNN Computational Graph: A Coordinated Computation, IO, and Memory Perspective. MLSys Hengrui Zhang, Zhongming Yu, Guohao Dai, Guyue Huang, Yufei Ding, Yuan Xie, Yu Wang
2021	J	`jnl`	APNN-TC: Accelerating Arbitrary Precision Neural Networks on Ampere GPU Tensor Cores. CoRR Boyuan Feng, Yuke Wang, Tong Geng, Ang Li, Yufei Ding
2021	A	`conf`	APNN-TC: accelerating arbitrary precision neural networks on ampere GPU tensor cores. SC Boyuan Feng, Yuke Wang, Tong Geng, Ang Li, Yufei Ding
2021	A	`conf`	An Efficient Quantitative Approach for Optimizing Convolutional Neural Networks. CIKM Yuke Wang, Boyuan Feng, Xueqiao Peng, Yufei Ding
2021	J	`jnl`	Attacking Point Cloud Segmentation with Color-only Perturbation. CoRR Jiacen Xu, Zhe Zhou, Boyuan Feng, Yufei Ding, Zhou Li
2021	A	`conf`	DSXplore: Optimizing Convolutional Neural Networks via Sliding-Channel Convolutions. IPDPS Yuke Wang, Boyuan Feng, Yufei Ding
2021	J	`jnl`	DSXplore: Optimizing Convolutional Neural Networks via Sliding-Channel Convolutions. CoRR Yuke Wang, Boyuan Feng, Yufei Ding
2021	B	`conf`	EGEMM-TC: accelerating scientific computing on tensor cores with extended precision. PPoPP Boyuan Feng, Yuke Wang, Guoyang Chen, Weifeng Zhang, Yuan Xie, Yufei Ding
2021	A*	`conf`	ENMC: Extreme Near-Memory Classification via Approximate Screening. MICRO Liu Liu, Jilan Lin, Zheng Qu, Yufei Ding, Yuan Xie
2021	J	`jnl`	Effective and Efficient Batch Normalization Using a Few Uncorrelated Data for Statistics Estimation. IEEE Trans. Neural Networks Learn. Syst. Zhaodong Chen, Lei Deng, Guoqi Li, Jiawei Sun, Xing Hu, Ling Liang, Yufei Ding, Yuan Xie
2021	J	`jnl`	Efficient Sparse Matrix Kernels based on Adaptive Workload-Balancing and Parallel-Reduction. CoRR Guyue Huang, Guohao Dai, Yu Wang, Yufei Ding, Yuan Xie
2021	A	`conf`	Efficient tensor core-based GPU kernels for structured sparsity under reduced precision. SC Zhaodong Chen, Zheng Qu, Liu Liu, Yufei Ding, Yuan Xie
2021	A*	`conf`	GNNAdvisor: An Adaptive and Efficient Runtime System for GNN Acceleration on GPUs. OSDI Yuke Wang, Boyuan Feng, Gushu Li, Shuangchen Li, Lei Deng, Yuan Xie, Yufei Ding
2021	A*	`conf`	Improving Streaming Graph Processing Performance using Input Knowledge. MICRO Abanti Basak, Zheng Qu, Jilan Lin, Alaa R. Alameldeen, Zeshan Chishti, Yufei Ding, Yuan Xie
2021	J	`jnl`	MPU: Towards Bandwidth-abundant SIMT Processor via Near-bank Computing. CoRR Xinfeng Xie, Peng Gu, Yufei Ding, Dimin Niu, Hongzhong Zheng, Yuan Xie
2021	J	`jnl`	Mapping Surface Code to Superconducting Quantum Processors. CoRR Anbang Wu, Gushu Li, Hezi Zhang, Gian Giacomo Guerreschi, Yufei Ding, Yuan Xie
2021	J	`jnl`	Mitigating Noise-Induced Gradient Vanishing in Variational Quantum Algorithm Training. CoRR Anbang Wu, Gushu Li, Yufei Ding, Yuan Xie
2021	—	`conf`	On the Co-Design of Quantum Software and Hardware. NANOCOM Gushu Li, Anbang Wu, Yunong Shi, Ali Javadi-Abhari, Yufei Ding, Yuan Xie
2021	A	`conf`	Overcoming the Memory Hierarchy Inefficiencies in Graph Processing Applications. ICCAD Jilan Lin, Shuangchen Li, Yufei Ding, Yuan Xie
2021	—	`conf`	Palleon: A Runtime System for Efficient Video Processing toward Dynamic Class Skew. USENIX ATC Boyuan Feng, Yuke Wang, Gushu Li, Yuan Xie, Yufei Ding
2021	J	`jnl`	QECV: Quantum Error Correction Verification. CoRR Anbang Wu, Gushu Li, Hezi Zhang, Gian Giacomo Guerreschi, Yuan Xie, Yufei Ding
2021	J	`jnl`	QGTC: Accelerating Quantized GNN via GPU Tensor Core. CoRR Yuke Wang, Boyuan Feng, Yufei Ding
2021	J	`jnl`	Reuse-centric k-means configuration. Inf. Syst. Lijun Zhang, Hui Guan, Yufei Ding, Xipeng Shen, Hamid Krim
2021	Misc	`conf`	Saga: Sparse Adversarial Attack on EEG-Based Brain Computer Interface. ICASSP Boyuan Feng, Yuke Wang, Yufei Ding
2021	J	`jnl`	TC-GNN: Accelerating Sparse Graph Neural Network Computation Via Dense Tensor Core on GPUs. CoRR Yuke Wang, Boyuan Feng, Yufei Ding
2021	B	`conf`	TiAcc: Triangle-inequality based Hardware Accelerator for K-means on FPGAs. CCGRID Yuke Wang, Boyuan Feng, Gushu Li, Georgios Tzimpragos, Lei Deng, Yuan Xie, Yufei Ding
2021	J	`jnl`	Towards Efficient Ansatz Architecture for Variational Quantum Algorithms. CoRR Anbang Wu, Gushu Li, Yuke Wang, Boyuan Feng, Yufei Ding, Yuan Xie
2021	J	`jnl`	Transformer Acceleration with Dynamic Sparse Attention. CoRR Liu Liu, Zheng Qu, Zhaodong Chen, Yufei Ding, Yuan Xie
2021	A*	`conf`	UAG: Uncertainty-aware Attention Graph Neural Network for Defending Adversarial Attacks. AAAI Boyuan Feng, Yuke Wang, Yufei Ding
2021	J	`jnl`	Understanding GNN Computational Graph: A Coordinated Computation, IO, and Memory Perspective. CoRR Hengrui Zhang, Zhongming Yu, Guohao Dai, Guyue Huang, Yufei Ding, Yuan Xie, Yu Wang
2021	J	`jnl`	ZEN: Efficient Zero-Knowledge Proofs for Neural Networks. IACR Cryptol. ePrint Arch. Boyuan Feng, Lianke Qin, Zhenfei Zhang, Yufei Ding, Shumo Chu
2020	C	`conf`	A Close Look at Multi-tenant Parallel CNN Inference for Autonomous Driving. NPC Yitong Huang, Yu Zhang, Boyuan Feng, Xing Guo, Yanyong Zhang, Yufei Ding
2020	J	`jnl`	A novel ensemble pruning approach based on information exchange glowworm swarm optimization and complementarity measure. J. Intell. Fuzzy Syst. Zhiwei Ni, Pingfan Xia, Xuhui Zhu, Yufei Ding, Liping Ni
2020	A*	`conf`	Boosting Deep Neural Network Efficiency with Dual-Module Inference. ICML Liu Liu, Lei Deng, Zhaodong Chen, Yuke Wang, Shuangchen Li, Jingwei Zhang, Yihua Yang, Zhenyu Gu, Yufei Ding, Yuan Xie
2020	A*	`conf`	DUET: Boosting Deep Neural Network Efficiency on Dual-Module Architecture. MICRO Liu Liu, Zheng Qu, Lei Deng, Fengbin Tu, Shuangchen Li, Xing Hu, Zhenyu Gu, Yufei Ding, Yuan Xie
2020	A*	`conf`	DeepSniffer: A DNN Model Extraction Framework Based on Learning Architectural Hints. ASPLOS Xing Hu, Ling Liang, Shuangchen Li, Lei Deng, Pengfei Zuo, Yu Ji, Xinfeng Xie, Yufei Ding, Chang Liu, Timothy Sherwood, Yuan Xie
2020	J	`jnl`	Domain-adversarial multi-task framework for novel therapeutic property prediction of compounds. Bioinform. Lingwei Xie, Song He, Zhongnan Zhang, Kunhui Lin, Xiaochen Bo, Shu Yang, Boyuan Feng, Kun Wan, Kang Yang, Jie Yang, Yufei Ding
2020	A*	`conf`	Eliminating Redundant Computation in Noisy Quantum Computing Simulation. DAC Gushu Li, Yufei Ding, Yuan Xie
2020	J	`jnl`	Exploring Adversarial Attack in Spiking Neural Networks with Spike-Compatible Gradient. CoRR Ling Liang, Xing Hu, Lei Deng, Yujie Wu, Guoqi Li, Yufei Ding, Peng Li, Yuan Xie
2020	J	`jnl`	GNNAdvisor: An Efficient Runtime System for GNN Acceleration on GPUs. CoRR Yuke Wang, Boyuan Feng, Gushu Li, Shuangchen Li, Lei Deng, Yuan Xie, Yufei Ding
2020	J	`jnl`	Optimizing Convolutional Neural Network Architecture via Information Field. CoRR Yuke Wang, Boyuan Feng, Xueqiao Peng, Yufei Ding
2020	J	`jnl`	Projection-based runtime assertions for testing and debugging Quantum programs. Proc. ACM Program. Lang. Gushu Li, Li Zhou, Nengkun Yu, Yufei Ding, Mingsheng Ying, Yuan Xie
2020	J	`jnl`	Rethinking the performance comparison between SNNS and ANNS. Neural Networks Lei Deng, Yujie Wu, Xing Hu, Ling Liang, Yufei Ding, Guoqi Li, Guangshe Zhao, Peng Li, Yuan Xie
2020	J	`jnl`	Rubik: A Hierarchical Architecture for Efficient Graph Learning. CoRR Xiaobing Chen, Yuke Wang, Xinfeng Xie, Xing Hu, Abanti Basak, Ling Liang, Mingyu Yan, Lei Deng, Yufei Ding, Zidong Du, Yunji Chen, Yuan Xie
2020	B	`conf`	SGQuant: Squeezing the Last Bit on Graph Neural Networks with Specialized Quantization. ICTAI Boyuan Feng, Yuke Wang, Xu Li, Shu Yang, Xueqiao Peng, Yufei Ding
2020	J	`jnl`	SGQuant: Squeezing the Last Bit on Graph Neural Networks with Specialized Quantization. CoRR Boyuan Feng, Yuke Wang, Xu Li, Shu Yang, Xueqiao Peng, Yufei Ding
2020	J	`jnl`	Scalable Adversarial Attack on Graph Neural Networks with Alternating Direction Method of Multipliers. CoRR Boyuan Feng, Yuke Wang, Xu Li, Yufei Ding
2020	J	`jnl`	Tianjic: A Unified and Scalable Chip Bridging Spike-Based and Continuous Neural Computation. IEEE J. Solid State Circuits Lei Deng, Guanrui Wang, Guoqi Li, Shuangchen Li, Ling Liang, Maohua Zhu, Yujie Wu, Zheyu Yang, Zhe Zou, Jing Pei, Zhenzhi Wu, Xing Hu, Yufei Ding, Wei He, Yuan Xie, Luping Shi
2020	A*	`conf`	Towards Efficient Superconducting Quantum Processor Architecture Design. ASPLOS Gushu Li, Yufei Ding, Yuan Xie
2020	J	`jnl`	Uncertainty-aware Attention Graph Neural Network for Defending Adversarial Attacks. CoRR Boyuan Feng, Yuke Wang, Zheng Wang, Yufei Ding
2020	A*	`conf`	Weighted-Sampling Audio Adversarial Example Attack. AAAI Xiaolei Liu, Kun Wan, Yufei Ding, Xiaosong Zhang, Qingxin Zhu
2020	A*	`conf`	iPIM: Programmable In-Memory Image Processing Accelerator Using Near-Bank Architecture. ISCA Peng Gu, Xinfeng Xie, Yufei Ding, Guoyang Chen, Weifeng Zhang, Dimin Niu, Yuan Xie
2019	J	`jnl`	AccD: A Compiler-based Framework for Accelerating Distance-related Algorithms on CPU-FPGA Platforms. CoRR Yuke Wang, Boyuan Feng, Gushu Li, Lei Deng, Yuan Xie, Yufei Ding
2019	J	`jnl`	Adversarial attack on Speech-to-Text Recognition Models. CoRR Xiaolei Liu, Kun Wan, Yufei Ding
2019	J	`jnl`	Comprehensive SNN Compression Using ADMM Optimization and Activity Regularization. CoRR Lei Deng, Yujie Wu, Yifan Hu, Ling Liang, Guoqi Li, Xing Hu, Yufei Ding, Peng Li, Yuan Xie
2019	J	`jnl`	DASM: Data-Streaming-Based Computing in Nonvolatile Memory Architecture for Embedded System. IEEE Trans. Very Large Scale Integr. Syst. Liang Chang, Xin Ma, Zhaohao Wang, Youguang Zhang, Yufei Ding, Weisheng Zhao, Yuan Xie
2019	—	`conf`	Dynamic Sparse Graph for Efficient Deep Learning. ICLR (Poster) Liu Liu, Lei Deng, Xing Hu, Maohua Zhu, Guoqi Li, Yufei Ding, Yuan Xie
2019	Misc	`conf`	KPynq: A Work-Efficient Triangle-Inequality Based K-Means on FPGA. FCCM Yuke Wang, Zhaorui Zeng, Boyuan Feng, Lei Deng, Yufei Ding
2019	J	`jnl`	KPynq: A Work-Efficient Triangle-Inequality based K-means on FPGA. CoRR Yuke Wang, Zhaorui Zeng, Boyuan Feng, Lei Deng, Yufei Ding
2019	J	`jnl`	Neural Network Model Extraction Attacks in Edge Devices by Hearing Architectural Hints. CoRR Xing Hu, Ling Liang, Lei Deng, Shuangchen Li, Xinfeng Xie, Yu Ji, Yufei Ding, Chang Liu, Timothy Sherwood, Yuan Xie
2019	J	`jnl`	Poq: Projection-based Runtime Assertions for Debugging on a Quantum Computer. CoRR Gushu Li, Li Zhou, Nengkun Yu, Yufei Ding, Mingsheng Ying, Yuan Xie
2019	B	`conf`	Reconciling Feature-Reuse and Overfitting in DenseNet with Specialized Dropout. ICTAI Kun Wan, Shu Yang, Boyuan Feng, Yufei Ding, Lingwei Xie
2019	J	`jnl`	SANQ: A Simulation Framework for Architecting Noisy Intermediate-Scale Quantum Computing System. CoRR Gushu Li, Yufei Ding, Yuan Xie
2019	A*	`conf`	Tackling the Qubit Mapping Problem for NISQ-Era Quantum Devices. ASPLOS Gushu Li, Yufei Ding, Yuan Xie
2019	J	`jnl`	Towards Efficient Superconducting Quantum Processor Architecture Design. CoRR Gushu Li, Yufei Ding, Yuan Xie
2018	J	`jnl`	Challenges Towards Deploying Data Intensive Scientific Applications on Extreme Heterogeneity Supercomputers. CoRR Hang Liu, Yufei Ding, Da Zheng, Seung Woo Son, Da Yan
2018	J	`jnl`	Domain-Adversarial Multi-Task Framework for Novel Therapeutic Property Prediction of Compounds. CoRR Lingwei Xie, Song He, Shu Yang, Boyuan Feng, Kun Wan, Zhongnan Zhang, Xiaochen Bo, Yufei Ding
2018	J	`jnl`	Dynamic Sparse Graph for Efficient Deep Learning. CoRR Liu Liu, Lei Deng, Xing Hu, Maohua Zhu, Guoqi Li, Yufei Ding, Yuan Xie
2018	J	`jnl`	In-memory multiplication engine with SOT-MRAM based stochastic computing. CoRR Xin Ma, Liang Chang, Shuangchen Li, Lei Deng, Yufei Ding, Yuan Xie
2018	J	`jnl`	Penetrating the Fog: the Path to Efficient CNN Models. CoRR Kun Wan, Boyuan Feng, Shu Yang, Yufei Ding
2018	J	`jnl`	Reconciling Feature-Reuse and Overfitting in DenseNet with Specialized Dropout. CoRR Kun Wan, Boyuan Feng, Lingwei Xie, Yufei Ding
2018	A*	`conf`	Reuse-Centric K-Means Configuration. ICDE Hui Guan, Yufei Ding, Xipeng Shen, Hamid Krim
2018	J	`jnl`	SECS: Efficient Deep Stream Processing via Class Skew Dichotomy. CoRR Boyuan Feng, Kun Wan, Shu Yang, Yufei Ding
2018	J	`jnl`	Tackling the Qubit Mapping Problem for NISQ-Era Quantum Devices. CoRR Gushu Li, Yufei Ding, Yuan Xie
2017	J	`jnl`	GLORE: generalized loop redundancy elimination upon LER-notation. Proc. ACM Program. Lang. Yufei Ding, Xipeng Shen
2017	A*	`conf`	Generalizations of the theory and deployment of triangular inequality for compiler-based strength reduction. PLDI Yufei Ding, Lin Ning, Hui Guan, Xipeng Shen
2017	A*	`conf`	Sweet KNN: An Efficient KNN on GPU through Reconciliation between Redundancy Removal and Regularity. ICDE Guoyang Chen, Yufei Ding, Xipeng Shen
2015	A*	`conf`	Autotuning algorithmic choice for input sensitivity. PLDI Yufei Ding, Jason Ansel, Kalyan Veeramachaneni, Xipeng Shen, Una-May O'Reilly, Saman P. Amarasinghe
2015	J	`jnl`	TOP: A Framework for Enabling Algorithmic Optimizations for Distance-Related Problems. Proc. VLDB Endow. Yufei Ding, Xipeng Shen, Madanlal Musuvathi, Todd Mytkowicz
2015	A*	`conf`	Yinyang K-Means: A Drop-In Replacement of the Classic K-Means with Consistent Speedup. ICML Yufei Ding, Yue Zhao, Xipeng Shen, Madanlal Musuvathi, Todd Mytkowicz
2014	A	`conf`	Call sequence prediction through probabilistic calling automata. OOPSLA Zhijia Zhao, Bo Wu, Mingzhou Zhou, Yufei Ding, Jianhua Sun, Xipeng Shen, Youfeng Wu
2014	A*	`conf`	Finding the limit: examining the potential and complexity of compilation scheduling for JIT-based runtime systems. ASPLOS Yufei Ding, Mingzhou Zhou, Zhijia Zhao, Sarah Eisenstat, Xipeng Shen
2013	A	`conf`	Profmig: A framework for flexible migration of program profiles across software versions. CGO Mingzhou Zhou, Bo Wu, Yufei Ding, Xipeng Shen