Profmig: A framework for flexible migration of program profiles across software versions. - Mingzhou Zhou; Bo Wu 002; Yufei Ding 001; Xipeng Shen (CGO, 2013)

Finding the limit: examining the potential and complexity of compilation scheduling for JIT-based runtime systems. - Yufei Ding 001; Mingzhou Zhou; Zhijia Zhao 001; Sarah Eisenstat; Xipeng Shen (ASPLOS, 2014)

Call sequence prediction through probabilistic calling automata. - Zhijia Zhao 001; Bo Wu 002; Mingzhou Zhou; Yufei Ding 001; Jianhua Sun; Xipeng Shen; Youfeng Wu (OOPSLA, 2014)

Yinyang K-Means: A Drop-In Replacement of the Classic K-Means with Consistent Speedup. - Yufei Ding 001; Yue Zhao 011; Xipeng Shen; Madanlal Musuvathi; Todd Mytkowicz (ICML, 2015)

Autotuning algorithmic choice for input sensitivity. - Yufei Ding 001; Jason Ansel; Kalyan Veeramachaneni; Xipeng Shen; Una-May O'Reilly; Saman P. Amarasinghe (PLDI, 2015)

TOP: A Framework for Enabling Algorithmic Optimizations for Distance-Related Problems. - Yufei Ding 001; Xipeng Shen; Madanlal Musuvathi; Todd Mytkowicz (Proc. VLDB Endow., 2015)

Sweet KNN: An Efficient KNN on GPU through Reconciliation between Redundancy Removal and Regularity. - Guoyang Chen; Yufei Ding 001; Xipeng Shen (ICDE, 2017)

Generalizations of the theory and deployment of triangular inequality for compiler-based strength reduction. - Yufei Ding 001; Lin Ning 001; Hui Guan 001; Xipeng Shen (PLDI, 2017)

GLORE: generalized loop redundancy elimination upon LER-notation. - Yufei Ding 001; Xipeng Shen (Proc. ACM Program. Lang., 2017)

Reuse-Centric K-Means Configuration. - Hui Guan 001; Yufei Ding 001; Xipeng Shen; Hamid Krim (ICDE, 2018)

Challenges Towards Deploying Data Intensive Scientific Applications on Extreme Heterogeneity Supercomputers. - Hang Liu; Yufei Ding 001; Da Zheng; Seung Woo Son 001; Da Yan 001 (CoRR, 2018)

SECS: Efficient Deep Stream Processing via Class Skew Dichotomy. - Boyuan Feng; Kun Wan 001; Shu Yang; Yufei Ding 001 (CoRR, 2018)

In-memory multiplication engine with SOT-MRAM based stochastic computing. - Xin Ma; Liang Chang 002; Shuangchen Li; Lei Deng 003; Yufei Ding 001; Yuan Xie 001 (CoRR, 2018)

Reconciling Feature-Reuse and Overfitting in DenseNet with Specialized Dropout. - Kun Wan 001; Boyuan Feng; Lingwei Xie; Yufei Ding 001 (CoRR, 2018)

Domain-Adversarial Multi-Task Framework for Novel Therapeutic Property Prediction of Compounds. - Lingwei Xie; Song He; Shu Yang; Boyuan Feng; Kun Wan 001; Zhongnan Zhang; Xiaochen Bo; Yufei Ding 001 (CoRR, 2018)

Penetrating the Fog: the Path to Efficient CNN Models. - Kun Wan 001; Boyuan Feng; Shu Yang; Yufei Ding 001 (CoRR, 2018)

Tackling the Qubit Mapping Problem for NISQ-Era Quantum Devices. - Gushu Li; Yufei Ding 001; Yuan Xie 001 (ASPLOS, 2019)

KPynq: A Work-Efficient Triangle-Inequality Based K-Means on FPGA. - Yuke Wang; Zhaorui Zeng; Boyuan Feng; Lei Deng 003; Yufei Ding 001 (FCCM, 2019)

Dynamic Sparse Graph for Efficient Deep Learning. - Liu Liu 017; Lei Deng 003; Xing Hu 001; Maohua Zhu; Guoqi Li; Yufei Ding 001; Yuan Xie 001 (ICLR (Poster), 2019)

Reconciling Feature-Reuse and Overfitting in DenseNet with Specialized Dropout. - Kun Wan 001; Shu Yang; Boyuan Feng; Yufei Ding 001; Lingwei Xie (ICTAI, 2019)

Adversarial attack on Speech-to-Text Recognition Models. - Xiaolei Liu 001; Kun Wan 001; Yufei Ding 001 (CoRR, 2019)

Neural Network Model Extraction Attacks in Edge Devices by Hearing Architectural Hints. - Xing Hu 001; Ling Liang; Lei Deng 003; Shuangchen Li; Xinfeng Xie; Yu Ji 002; Yufei Ding 001; Chang Liu 021; Timothy Sherwood; Yuan Xie 001 (CoRR, 2019)

SANQ: A Simulation Framework for Architecting Noisy Intermediate-Scale Quantum Computing System. - Gushu Li; Yufei Ding 001; Yuan Xie 001 (CoRR, 2019)

AccD: A Compiler-based Framework for Accelerating Distance-related Algorithms on CPU-FPGA Platforms. - Yuke Wang; Boyuan Feng; Gushu Li; Lei Deng 003; Yuan Xie 001; Yufei Ding 001 (CoRR, 2019)

Poq: Projection-based Runtime Assertions for Debugging on a Quantum Computer. - Gushu Li; Li Zhou 013; Nengkun Yu; Yufei Ding 001; Mingsheng Ying; Yuan Xie 001 (CoRR, 2019)

DASM: Data-Streaming-Based Computing in Nonvolatile Memory Architecture for Embedded System. - Liang Chang 002; Xin Ma; Zhaohao Wang; Youguang Zhang; Yufei Ding 001; Weisheng Zhao; Yuan Xie 001 (IEEE Trans. Very Large Scale Integr. Syst., 2019)

Weighted-Sampling Audio Adversarial Example Attack. - Xiaolei Liu 001; Kun Wan 001; Yufei Ding 001; Xiaosong Zhang 001; Qingxin Zhu (AAAI, 2020)

DeepSniffer: A DNN Model Extraction Framework Based on Learning Architectural Hints. - Xing Hu 001; Ling Liang; Shuangchen Li; Lei Deng 003; Pengfei Zuo; Yu Ji 002; Xinfeng Xie; Yufei Ding 001; Chang Liu 021; Timothy Sherwood; Yuan Xie 001 (ASPLOS, 2020)

Towards Efficient Superconducting Quantum Processor Architecture Design. - Gushu Li; Yufei Ding 001; Yuan Xie 001 (ASPLOS, 2020)

Eliminating Redundant Computation in Noisy Quantum Computing Simulation. - Gushu Li; Yufei Ding 001; Yuan Xie 001 (DAC, 2020)

Boosting Deep Neural Network Efficiency with Dual-Module Inference. - Liu Liu 017; Lei Deng 003; Zhaodong Chen; Yuke Wang; Shuangchen Li; Jingwei Zhang; Yihua Yang; Zhenyu Gu; Yufei Ding 001; Yuan Xie 001 (ICML, 2020)

SGQuant: Squeezing the Last Bit on Graph Neural Networks with Specialized Quantization. - Boyuan Feng; Yuke Wang; Xu Li; Shu Yang; Xueqiao Peng; Yufei Ding 001 (ICTAI, 2020)

iPIM: Programmable In-Memory Image Processing Accelerator Using Near-Bank Architecture. - Peng Gu; Xinfeng Xie; Yufei Ding 001; Guoyang Chen; Weifeng Zhang 003; Dimin Niu; Yuan Xie 001 (ISCA, 2020)

DUET: Boosting Deep Neural Network Efficiency on Dual-Module Architecture. - Liu Liu 017; Zheng Qu; Lei Deng 003; Fengbin Tu; Shuangchen Li; Xing Hu 001; Zhenyu Gu; Yufei Ding 001; Yuan Xie 001 (MICRO, 2020)

A Close Look at Multi-tenant Parallel CNN Inference for Autonomous Driving. - Yitong Huang; Yu Zhang 086; Boyuan Feng; Xing Guo; Yanyong Zhang; Yufei Ding 001 (NPC, 2020)

Domain-adversarial multi-task framework for novel therapeutic property prediction of compounds. - Lingwei Xie; Song He; Zhongnan Zhang; Kunhui Lin; Xiaochen Bo; Shu Yang; Boyuan Feng; Kun Wan 001; Kang Yang; Jie Yang; Yufei Ding 001 (Bioinform., 2020)

GNNAdvisor: An Efficient Runtime System for GNN Acceleration on GPUs. - Yuke Wang; Boyuan Feng; Gushu Li; Shuangchen Li; Lei Deng 003; Yuan Xie 001; Yufei Ding 001 (CoRR, 2020)

Optimizing Convolutional Neural Network Architecture via Information Field. - Yuke Wang; Boyuan Feng; Xueqiao Peng; Yufei Ding 001 (CoRR, 2020)

Scalable Adversarial Attack on Graph Neural Networks with Alternating Direction Method of Multipliers. - Boyuan Feng; Yuke Wang; Xu Li; Yufei Ding 001 (CoRR, 2020)

Uncertainty-aware Attention Graph Neural Network for Defending Adversarial Attacks. - Boyuan Feng; Yuke Wang; Zheng Wang 075; Yufei Ding 001 (CoRR, 2020)

Rubik: A Hierarchical Architecture for Efficient Graph Learning. - Xiaobing Chen; Yuke Wang; Xinfeng Xie; Xing Hu 001; Abanti Basak; Ling Liang; Mingyu Yan; Lei Deng 003; Yufei Ding 001; Zidong Du; Yunji Chen; Yuan Xie 001 (CoRR, 2020)

A novel ensemble pruning approach based on information exchange glowworm swarm optimization and complementarity measure. - Zhiwei Ni; Pingfan Xia; Xuhui Zhu; Yufei Ding 001; Liping Ni (J. Intell. Fuzzy Syst., 2020)

Tianjic: A Unified and Scalable Chip Bridging Spike-Based and Continuous Neural Computation. - Lei Deng 003; Guanrui Wang; Guoqi Li; Shuangchen Li; Ling Liang; Maohua Zhu; Yujie Wu 002; Zheyu Yang; Zhe Zou; Jing Pei; Zhenzhi Wu; Xing Hu 001; et al. (IEEE J. Solid State Circuits, 2020)

Rethinking the performance comparison between SNNS and ANNS. - Lei Deng 003; Yujie Wu 002; Xing Hu 001; Ling Liang; Yufei Ding 001; Guoqi Li; Guangshe Zhao; Peng Li 001; Yuan Xie 001 (Neural Networks, 2020)

Projection-based runtime assertions for testing and debugging Quantum programs. - Gushu Li; Li Zhou 013; Nengkun Yu; Yufei Ding 001; Mingsheng Ying; Yuan Xie 001 (Proc. ACM Program. Lang., 2020)

UAG: Uncertainty-aware Attention Graph Neural Network for Defending Adversarial Attacks. - Boyuan Feng; Yuke Wang; Yufei Ding 001 (AAAI, 2021)

TiAcc: Triangle-inequality based Hardware Accelerator for K-means on FPGAs. - Yuke Wang; Boyuan Feng; Gushu Li; Georgios Tzimpragos; Lei Deng 003; Yuan Xie 001; Yufei Ding 001 (CCGRID, 2021)

An Efficient Quantitative Approach for Optimizing Convolutional Neural Networks. - Yuke Wang; Boyuan Feng; Xueqiao Peng; Yufei Ding 001 (CIKM, 2021)

Saga: Sparse Adversarial Attack on EEG-Based Brain Computer Interface. - Boyuan Feng; Yuke Wang; Yufei Ding 001 (ICASSP, 2021)

Overcoming the Memory Hierarchy Inefficiencies in Graph Processing Applications. - Jilan Lin; Shuangchen Li; Yufei Ding 001; Yuan Xie 001 (ICCAD, 2021)

DSXplore: Optimizing Convolutional Neural Networks via Sliding-Channel Convolutions. - Yuke Wang; Boyuan Feng; Yufei Ding 001 (IPDPS, 2021)

Improving Streaming Graph Processing Performance using Input Knowledge. - Abanti Basak; Zheng Qu; Jilan Lin; Alaa R. Alameldeen; Zeshan Chishti; Yufei Ding 001; Yuan Xie 001 (MICRO, 2021)

ENMC: Extreme Near-Memory Classification via Approximate Screening. - Liu Liu 017; Jilan Lin; Zheng Qu; Yufei Ding 001; Yuan Xie 001 (MICRO, 2021)

On the Co-Design of Quantum Software and Hardware. - Gushu Li; Anbang Wu; Yunong Shi; Ali Javadi-Abhari; Yufei Ding 001; Yuan Xie 001 (NANOCOM, 2021)

GNNAdvisor: An Adaptive and Efficient Runtime System for GNN Acceleration on GPUs. - Yuke Wang; Boyuan Feng; Gushu Li; Shuangchen Li; Lei Deng 003; Yuan Xie 001; Yufei Ding 001 (OSDI, 2021)

EGEMM-TC: accelerating scientific computing on tensor cores with extended precision. - Boyuan Feng; Yuke Wang; Guoyang Chen; Weifeng Zhang 003; Yuan Xie 001; Yufei Ding 001 (PPoPP, 2021)

Efficient tensor core-based GPU kernels for structured sparsity under reduced precision. - Zhaodong Chen; Zheng Qu; Liu Liu 017; Yufei Ding 001; Yuan Xie 001 (SC, 2021)

APNN-TC: accelerating arbitrary precision neural networks on ampere GPU tensor cores. - Boyuan Feng; Yuke Wang; Tong Geng; Ang Li 006; Yufei Ding 001 (SC, 2021)

Palleon: A Runtime System for Efficient Video Processing toward Dynamic Class Skew. - Boyuan Feng; Yuke Wang; Gushu Li; Yuan Xie 001; Yufei Ding 001 (USENIX ATC, 2021)

MPU: Towards Bandwidth-abundant SIMT Processor via Near-bank Computing. - Xinfeng Xie; Peng Gu; Yufei Ding 001; Dimin Niu; Hongzhong Zheng; Yuan Xie 001 (CoRR, 2021)

Efficient Sparse Matrix Kernels based on Adaptive Workload-Balancing and Parallel-Reduction. - Guyue Huang; Guohao Dai; Yu Wang 002; Yufei Ding 001; Yuan Xie 001 (CoRR, 2021)

Transformer Acceleration with Dynamic Sparse Attention. - Liu Liu 017; Zheng Qu; Zhaodong Chen; Yufei Ding 001; Yuan Xie 001 (CoRR, 2021)

QGTC: Accelerating Quantized GNN via GPU Tensor Core. - Yuke Wang; Boyuan Feng; Yufei Ding 001 (CoRR, 2021)

Mitigating Noise-Induced Gradient Vanishing in Variational Quantum Algorithm Training. - Anbang Wu; Gushu Li; Yufei Ding 001; Yuan Xie 001 (CoRR, 2021)

QECV: Quantum Error Correction Verification. - Anbang Wu; Gushu Li; Hezi Zhang; Gian Giacomo Guerreschi; Yuan Xie 001; Yufei Ding 001 (CoRR, 2021)

Mapping Surface Code to Superconducting Quantum Processors. - Anbang Wu; Gushu Li; Hezi Zhang; Gian Giacomo Guerreschi; Yufei Ding 001; Yuan Xie 001 (CoRR, 2021)

Towards Efficient Ansatz Architecture for Variational Quantum Algorithms. - Anbang Wu; Gushu Li; Yuke Wang; Boyuan Feng; Yufei Ding 001; Yuan Xie 001 (CoRR, 2021)

TC-GNN: Accelerating Sparse Graph Neural Network Computation Via Dense Tensor Core on GPUs. - Yuke Wang; Boyuan Feng; Yufei Ding 001 (CoRR, 2021)

Attacking Point Cloud Segmentation with Color-only Perturbation. - Jiacen Xu; Zhe Zhou 001; Boyuan Feng; Yufei Ding 001; Zhou Li 001 (CoRR, 2021)

ZEN: Efficient Zero-Knowledge Proofs for Neural Networks. - Boyuan Feng; Lianke Qin; Zhenfei Zhang; Yufei Ding 001; Shumo Chu (IACR Cryptol. ePrint Arch., 2021)

Reuse-centric k-means configuration. - Lijun Zhang 005; Hui Guan 001; Yufei Ding 001; Xipeng Shen; Hamid Krim (Inf. Syst., 2021)

Effective and Efficient Batch Normalization Using a Few Uncorrelated Data for Statistics Estimation. - Zhaodong Chen; Lei Deng 003; Guoqi Li; Jiawei Sun; Xing Hu 001; Ling Liang; Yufei Ding 001; Yuan Xie 001 (IEEE Trans. Neural Networks Learn. Syst., 2021)

Paulihedral: a generalized block-wise compiler optimization framework for Quantum simulation kernels. - Gushu Li; Anbang Wu; Yunong Shi; Ali Javadi-Abhari; Yufei Ding 001; Yuan Xie 001 (ASPLOS, 2022)

DOTA: detect and omit weak attentions for scalable transformer acceleration. - Zheng Qu; Liu Liu 017; Fengbin Tu; Zhaodong Chen; Yufei Ding 001; Yuan Xie 001 (ASPLOS, 2022)

Heuristic adaptability to input dynamics for SpMM on CPUs. - Guohao Dai; Guyue Huang; Shang Yang; Zhongming Yu; Hengrui Zhang; Yufei Ding 001; Yuan Xie 001; Huazhong Yang; Yu Wang 002 (DAC, 2022)

Shfl-BW: accelerating deep neural network inference with tensor-core aware weight pruning. - Guyue Huang; Haoran Li; Minghai Qin; Fei Sun; Yufei Ding 001; Yuan Xie 001 (DAC, 2022)

INSPIRE: in-storage private information retrieval via protocol and architecture co-design. - Jilan Lin; Ling Liang; Zheng Qu; Ishtiyaque Ahmad; Liu Liu 017; Fengbin Tu; Trinabh Gupta; Yufei Ding 001; Yuan Xie 001 (ISCA, 2022)

EQC: ensembled quantum computing for variational quantum algorithms. - Samuel Alexander Stein; Nathan Wiebe; Yufei Ding 001; Bo Peng; Karol Kowalski; Nathan A. Baker; James A. Ang; Ang Li 006 (ISCA, 2022)

A synthesis framework for stitching surface code with superconducting quantum devices. - Anbang Wu; Gushu Li; Hezi Zhang; Gian Giacomo Guerreschi; Yufei Ding 001; Yuan Xie 001 (ISCA, 2022)

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. - Fengbin Tu; Yiqi Wang 005; Zihan Wu 006; Ling Liang; Yufei Ding 001; Bongjin Kim; Leibo Liu; Shaojun Wei; Yuan Xie 001; Shouyi Yin (ISSCC, 2022)

A 28nm 15.59µJ/Token Full-Digital Bitline-Transpose CIM-Based Sparse Transformer Accelerator with Pipeline/Parallel Reconfigurable Modes. - Fengbin Tu; Zihan Wu 006; Yiqi Wang 005; Ling Liang; Liu Liu 017; Yufei Ding 001; Leibo Liu; Shaojun Wei; Yuan Xie 001; Shouyi Yin (ISSCC, 2022)

AutoComm: A Framework for Enabling Efficient Communication in Distributed Quantum Programs. - Anbang Wu; Hezi Zhang; Gushu Li; Alireza Shabani; Yuan Xie 001; Yufei Ding 001 (MICRO, 2022)

Understanding GNN Computational Graph: A Coordinated Computation, IO, and Memory Perspective. - Hengrui Zhang; Zhongming Yu; Guohao Dai; Guyue Huang; Yufei Ding 001; Yuan Xie 001; Yu Wang 002 (MLSys, 2022)

Biologically Inspired Dynamic Thresholds for Spiking Neural Networks. - Jianchuan Ding; Bo Dong 004; Felix Heide; Yufei Ding 001; Yunduo Zhou; Baocai Yin; Xin Yang 011 (NeurIPS, 2022)

QGTC: accelerating quantized graph neural networks via GPU tensor core. - Yuke Wang; Boyuan Feng; Yufei Ding 001 (PPoPP, 2022)

EL-Rec: Efficient Large-Scale Recommendation Model Training via Tensor-Train Embedding Table. - Zheng Wang 075; Yuke Wang; Boyuan Feng; Dheevatsa Mudigere; Bharath Muthiah; Yufei Ding 001 (SC, 2022)

LightSeq2: Accelerated Training for Transformer-Based Models on GPUs. - Xiaohui Wang; Yang Wei; Ying Xiong; Guyue Huang; Xian Qian; Yufei Ding 001; Mingxuan Wang; Lei Li 005 (SC, 2022)

Faith: An Efficient Framework for Transformer Verification on GPUs. - Boyuan Feng; Tianqi Tang 001; Yuke Wang; Zhaodong Chen; Zheng Wang 075; Shu Yang; Yuan Xie 001; Yufei Ding 001 (USENIX ATC, 2022)

MPU-Sim: A Simulator for In-DRAM Near-Bank Processing Architectures. - Xinfeng Xie; Peng Gu; Jiayi Huang 001; Yufei Ding 001; Yuan Xie 001 (IEEE Comput. Archit. Lett., 2022)

Heuristic Adaptability to Input Dynamics for SpMM on GPUs. - Guohao Dai; Guyue Huang; Shang Yang; Zhongming Yu; Hengrui Zhang; Yufei Ding 001; Yuan Xie 001; Huazhong Yang; Yu Wang 002 (CoRR, 2022)

GMI-DRL: Empowering Multi-GPU Deep Reinforcement Learning with GPU Spatial Multiplexing. - Yuke Wang; Boyuan Feng; Zheng Wang 075; Tong Geng; Ang Li 006; Yufei Ding 001 (CoRR, 2022)

CollComm: Enabling Efficient Collective Quantum Communication Based on EPR buffering. - Anbang Wu; Yufei Ding 001; Ang Li 006 (CoRR, 2022)

Empowering GNNs with Fine-grained Communication-Computation Pipelining on Multi-GPU Platforms. - Yuke Wang; Boyuan Feng; Zheng Wang 075; Tong Geng; Kevin J. Barker; Ang Li 006; Yufei Ding 001 (CoRR, 2022)

Enabling Data Movement and Computation Pipelining in Deep Learning Compiler. - Guyue Huang; Yang Bai; Liu Liu 017; Yuke Wang; Bei Yu 001; Yufei Ding 001; Yuan Xie 001 (CoRR, 2022)

Quantum and Post-Moore's Law Computing. - Yufei Ding 001; Ali Javadi-Abhari (IEEE Internet Comput., 2022)

A Systematic View of Model Leakage Risks in Deep Neural Network Systems. - Xing Hu 001; Ling Liang; Xiaobing Chen; Lei Deng 003; Yu Ji 002; Yufei Ding 001; Zidong Du; Qi Guo 001; Timothy Sherwood; Yuan Xie 001 (IEEE Trans. Computers, 2022)

Dynamic Sparse Attention for Scalable Transformer Acceleration. - Liu Liu 017; Zheng Qu; Zhaodong Chen; Fengbin Tu; Yufei Ding 001; Yuan Xie 001 (IEEE Trans. Computers, 2022)

Rubik: A Hierarchical Architecture for Efficient Graph Neural Network Training. - Xiaobing Chen; Yuke Wang; Xinfeng Xie; Xing Hu 001; Abanti Basak; Ling Liang; Mingyu Yan; Lei Deng 003; Yufei Ding 001; Zidong Du; Yuan Xie 001 (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2022)

STPAcc: Structural TI-Based Pruning for Accelerating Distance-Related Algorithms on CPU-FPGA Platforms. - Yuke Wang; Boyuan Feng; Gushu Li; Lei Deng 003; Yuan Xie 001; Yufei Ding 001 (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2022)

On Adversarial Robustness of Point Cloud Semantic Segmentation. - Jiacen Xu; Zhe Zhou 001; Boyuan Feng; Yufei Ding 001; Zhou Li 001 (DSN, 2023)

ECSSD: Hardware/Data Layout Co-Designed In-Storage-Computing Architecture for Extreme Classification. - Siqi Li; Fengbin Tu; Liu Liu 017; Jilan Lin; Zheng Wang 075; Yangwook Kang; Yufei Ding 001; Yuan Xie 001 (ISCA, 2023)

Q-BEEP: Quantum Bayesian Error Mitigation Employing Poisson Modeling over the Hamming Spectrum. - Samuel Alexander Stein; Nathan Wiebe; Yufei Ding 001; James A. Ang; Ang Li 006 (ISCA, 2023)

OneQ: A Compilation Framework for Photonic One-Way Quantum Computation. - Hezi Zhang; Anbang Wu; Yuke Wang; Gushu Li; Hassan Shapourian; Alireza Shabani; Yufei Ding 001 (ISCA, 2023)

RM-STC: Row-Merge Dataflow Inspired GPU Sparse Tensor Core for Energy-Efficient Sparse Acceleration. - Guyue Huang; Zhengyang Wang; Po-An Tsai; Chen Zhang 001; Yufei Ding 001; Yuan Xie 001 (MICRO, 2023)

QuComm: Optimizing Collective Communication for Distributed Quantum Computing. - Anbang Wu; Yufei Ding 001; Ang Li 006 (MICRO, 2023)

ALCOP: Automatic Load-Compute Pipelining in Deep Learning Compiler for AI-GPUs. - Guyue Huang; Yang Bai; Liu Liu 017; Yuke Wang; Bei Yu 001; Yufei Ding 001; Yuan Xie 001 (MLSys, 2023)

MGG: Accelerating Graph Neural Networks with Fine-Grained Intra-Kernel Communication-Computation Pipelining on Multi-GPU Platforms. - Yuke Wang; Boyuan Feng; Zheng Wang 075; Tong Geng; Kevin J. Barker; Ang Li 006; Yufei Ding 001 (OSDI, 2023)

Dynamic N: M Fine-Grained Structured Sparse Attention Mechanism. - Zhaodong Chen; Zheng Qu; Yuying Quan; Liu Liu 017; Yufei Ding 001; Yuan Xie 001 (PPoPP, 2023)

QASMTrans: A QASM Quantum Transpiler Framework for NISQ Devices. - Fei Hua; Meng Wang 033; Gushu Li; Bo Peng; Chenxu Liu; Muqing Zheng; Samuel Alexander Stein; Yufei Ding 001; Eddy Z. Zhang; Travis S. Humble; Ang Li 006 (SC Workshops, 2023)

TC-GNN: Bridging Sparse GNN Computation and Dense Tensor Cores on GPUs. - Yuke Wang; Boyuan Feng; Zheng Wang 075; Guyue Huang; Yufei Ding 001 (USENIX ATC, 2023)

TranCIM: Full-Digital Bitline-Transpose CIM-based Sparse Transformer Accelerator With Pipeline/Parallel Reconfigurable Modes. - Fengbin Tu; Zihan Wu 006; Yiqi Wang 005; Ling Liang; Liu Liu 017; Yufei Ding 001; Leibo Liu; Shaojun Wei; Yuan Xie 001; Shouyi Yin (IEEE J. Solid State Circuits, 2023)

ReDCIM: Reconfigurable Digital Computing- In -Memory Processor With Unified FP/INT Pipeline for Cloud AI Acceleration. - Fengbin Tu; Yiqi Wang 005; Zihan Wu 006; Ling Liang; Yufei Ding 001; Bongjin Kim; Leibo Liu; Shaojun Wei; Yuan Xie 001; Shouyi Yin (IEEE J. Solid State Circuits, 2023)

SPG: Structure-Private Graph Database via SqueezePIR. - Ling Liang; Jilan Lin; Zheng Qu; Ishtiyaque Ahmad; Fengbin Tu; Trinabh Gupta; Yufei Ding 001; Yuan Xie 001 (Proc. VLDB Endow., 2023)

SDP: Co-Designing Algorithm, Dataflow, and Architecture for In-SRAM Sparse NN Acceleration. - Fengbin Tu; Yiqi Wang 005; Ling Liang; Yufei Ding 001; Leibo Liu; Shaojun Wei; Shouyi Yin; Yuan Xie 001 (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2023)

A Geometrical Approach to Evaluate the Adversarial Robustness of Deep Neural Networks. - Yang Wang 106; Bo Dong 004; Ke Xu 010; Haiyin Piao; Yufei Ding 001; Baocai Yin; Xin Yang 011 (ACM Trans. Multim. Comput. Commun. Appl., 2023)

Exploring Adversarial Attack in Spiking Neural Networks With Spike-Compatible Gradient. - Ling Liang; Xing Hu 001; Lei Deng 003; Yujie Wu 002; Guoqi Li; Yufei Ding 001; Peng Li 001; Yuan Xie 001 (IEEE Trans. Neural Networks Learn. Syst., 2023)

Comprehensive SNN Compression Using ADMM Optimization and Activity Regularization. - Lei Deng 003; Yujie Wu 002; Yifan Hu; Ling Liang; Guoqi Li; Xing Hu 001; Yufei Ding 001; Peng Li 001; Yuan Xie 001 (IEEE Trans. Neural Networks Learn. Syst., 2023)

MPU: Memory-centric SIMT Processor via In-DRAM Near-bank Computing. - Xinfeng Xie; Peng Gu; Yufei Ding 001; Dimin Niu; Hongzhong Zheng; Yuan Xie 008 (ACM Trans. Archit. Code Optim., 2023)

EVT: Accelerating Deep Learning Training with Epilogue Visitor Tree. - Zhaodong Chen; Andrew Kerr; Richard Cai; Jack Kosaian; Haicheng Wu; Yufei Ding 001; Yuan Xie 001 (ASPLOS (3), 2024)

ZENO: A Type-based Optimization Framework for Zero Knowledge Neural Network Inference. - Boyuan Feng; Zheng Wang 075; Yuke Wang; Shu Yang; Yufei Ding 001 (ASPLOS (1), 2024)

RAP: Resource-aware Automated GPU Sharing for Multi-GPU Recommendation Model Training and Input Preprocessing. - Zheng Wang 075; Yuke Wang; Jiaqi Deng; Da Zheng; Ang Li 006; Yufei Ding 001 (ASPLOS (2), 2024)

OnePerc: A Randomness-aware Compiler for Photonic Quantum Computing. - Hezi Zhang; Jixuan Ruan; Hassan Shapourian; Ramana Rao Kompella; Yufei Ding 001 (ASPLOS (3), 2024)

MECH: Multi-Entry Communication Highway for Superconducting Quantum Chiplets. - Hezi Zhang; Keyi Yin; Anbang Wu; Hassan Shapourian; Alireza Shabani; Yufei Ding 001 (ASPLOS (2), 2024)

Soter: Analytical Tensor-Architecture Modeling and Automatic Tensor Program Tuning for Spatial Accelerators. - Fuyu Wang; Minghua Shen; Yufei Ding 001; Nong Xiao 001 (ISCA, 2024)

Surf-Deformer: Mitigating Dynamic Defects on Surface Code via Adaptive Deformation. - Keyi Yin; Xiang Fang; Travis S. Humble; Ang Li 006; Yunong Shi; Yufei Ding 001 (MICRO, 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)

OPER: Optimality-Guided Embedding Table Parallelization for Large-scale Recommendation Model. - Zheng Wang 075; Yuke Wang; Boyuan Feng; Guyue Huang; Dheevatsa Mudigere; Bharath Muthiah; Ang Li 006; Yufei Ding 001 (USENIX ATC, 2024)

Improving GPU Multi-Tenancy Through Dynamic Multi-Instance GPU Reconfiguration. - Tianyu Wang; Sheng Li 019; Bingyao Li; Yue Dai 005; Ao Li 004; Geng Yuan; Yufei Ding 001; Youtao Zhang; Xulong Tang (CoRR, 2024)

HetEC: Architectures for Heterogeneous Quantum Error Correction Codes. - Samuel Alexander Stein; Shifan Xu; Andrew W. Cross; Theodore J. Yoder; Ali Javadi-Abhari; Chenxu Liu; Kun Liu; Zeyuan Zhou; Charlie Guinn; Yufei Ding 001; Yongshan Ding 001; Ang Li 006 (ASPLOS (2), 2025)

QECC-Synth: A Layout Synthesizer for Quantum Error Correction Codes on Sparse Architectures. - Keyi Yin; Hezi Zhang; Xiang Fang; Yunong Shi; Travis S. Humble; Ang Li 006; Yufei Ding 001 (ASPLOS (1), 2025)

Push Multicast: A Speculative and Coherent Interconnect for Mitigating Manycore CPU Communication Bottleneck. - Jiayi Huang 001; Yanhua Chen; Zhe Wang 023; Christopher J. Hughes; Yufei Ding 001; Yuan Xie 001 (HPCA, 2025)

Mutual Effort for Efficiency: A Similarity-based Token Pruning for Vision Transformers in Self-Supervised Learning. - Sheng Li 019; Qitao Tan; Yue Dai 005; Zhenglun Kong; Tianyu Wang; Jun Liu 075; Ao Li 004; Ninghao Liu; Yufei Ding 001; Xulong Tang; Geng Yuan (ICLR, 2025)

CaliQEC: In-situ Qubit Calibration for Surface Code Quantum Error Correction. - Xiang Fang; Keyi Yin; Yuchen Zhu; Jixuan Ruan; Dean Tullsen; Zhiding Liang; Andrew Sornborger; Ang Li 006; Travis S. Humble; Yufei Ding 001; Yunong Shi (ISCA, 2025)

TRACI: Network Acceleration of Input-Dynamic Communication for Large-Scale Deep Learning Recommendation Model. - Guyue Huang; Hao Li; Le Qin; Jiayi Huang 001; Yangwook Kang; Yufei Ding 001; Yuan Xie 001 (ISCA, 2025)

SwitchQNet: Optimizing Distributed Quantum Computing for Quantum Data Centers with Switch Networks. - Hezi Zhang; Yiran Xu; Haotian Hu; Keyi Yin; Hassan Shapourian; Jiapeng Zhao; Ramana Rao Kompella; Reza Nejabati; Yufei Ding 001 (ISCA, 2025)

Hardware-aware Calibration Protocol for Quantum Computers. - Yuchen Zhu; Jinglei Cheng; Boxi Li; Kecheng Liu; Yidong Zhou; Hanrui Wang 002; Yufei Ding 001; Zhiding Liang (ISCA, 2025)

WLB-LLM: Workload-Balanced 4D Parallelism for Large Language Model Training. - Zheng Wang 075; Anna Cai; Xinfeng Xie; Zaifeng Pan; Yue Guan; Weiwei Chu; Jie Wang 022; Shikai Li; Jianyu Huang; Chris Cai; Yuchen Hao; Yufei Ding 001 (OSDI, 2025)

KPerfIR: Towards a Open and Compiler-centric Ecosystem for GPU Kernel Performance Tooling on Modern AI Workloads. - Yue Guan; Yuanwei Fang; Keren Zhou 001; Corbin Robeck; Manman Ren; Zhongkai Yu; Yufei Ding 001; Adnan Aziz (OSDI, 2025)

GMI-DRL: Empowering Multi-GPU DRL with Adaptive-Grained Parallelism. - Yuke Wang; Boyuan Feng; Zheng Wang 075; Guyue Huang; Tony Tong Geng; Ang Li 006; Yufei Ding 001 (USENIX ATC, 2025)

OneAdapt: Adaptive Compilation for Resource-Constrained Photonic One-Way Quantum Computing. - Hezi Zhang; Jixuan Ruan; Dean Tullsen; Yufei Ding 001; Ang Li 006; Travis S. Humble (CoRR, 2025)

KPerfIR: Towards an Open and Compiler-centric Ecosystem for GPU Kernel Performance Tooling on Modern AI Workloads. - Yue Guan; Yuanwei Fang; Keren Zhou 001; Corbin Robeck; Manman Ren; Zhongkai Yu; Yufei Ding 001; Adnan Aziz (CoRR, 2025)

KVFlow: Efficient Prefix Caching for Accelerating LLM-Based Multi-Agent Workflows. - Zaifeng Pan; Ajjkumar Patel; Zhengding Hu; Yipeng Shen; Yue Guan; Wan-Lu Li; Lianhui Qin; Yida Wang; Yufei Ding 001 (CoRR, 2025)

HedraRAG: Coordinating LLM Generation and Database Retrieval in Heterogeneous RAG Serving. - Zhengding Hu; Vibha Murthy; Zaifeng Pan; Wanlu Li; Xiaoyi Fang; Yufei Ding 001; Yuke Wang (CoRR, 2025)