| 2026 | ASPDAC | Platinum: Path-Adaptable LUT-Based Accelerator Tailored for Low-Bit Weight Matrix Multiplication. | Haoxuan Shan, Cong Guo, Chiyue Wei, Feng Cheng, Junyao Zhang, Hai Helen Li, Yiran Chen |
| 2026 | HPCA | FractalCloud: A Fractal-Inspired Architecture for Efficient Large-Scale Point Cloud Processing. | Yuzhe Fu, Changchun Zhou, Hancheng Ye, Bowen Duan, Qiyu Huang, Chiyue Wei, Cong Guo, Hai Helen Li, Yiran Chen |
| 2026 | HPCA | Focus: A Streaming Concentration Architecture for Efficient Vision-Language Models. | Chiyue Wei, Cong Guo, Junyao Zhang, Haoxuan Shan, Yifan Xu, Ziyue Zhang, Yudong Liu, Qinsi Wang, Changchun Zhou, Hai Helen Li, Yiran Chen |
| 2025 | ACL | Unsolvable Problem Detection: Robust Understanding Evaluation for Large Multimodal Models. | Atsuyuki Miyai, Jingkang Yang, Jingyang Zhang, Yifei Ming, Qing Yu, Go Irie, Yixuan Li, Hai Helen Li, Ziwei Liu, Kiyoharu Aizawa |
| 2025 | DATE | qGDP: Quantum Legalization and Detailed Placement for Superconducting Quantum Computers. | Junyao Zhang, Guanglei Zhou, Feng Cheng, Jonathan Ku, Qi Ding, Jiaqi Gu, Hanrui Wang, Hai Helen Li, Yiran Chen |
| 2025 | HPCA | Prosperity: Accelerating Spiking Neural Networks via Product Sparsity. | Chiyue Wei, Cong Guo, Feng Cheng, Shiyu Li, Hao (Frank) Yang, Hai Helen Li, Yiran Chen |
| 2025 | ICCAD | Designing and Training Neural Networks for Analog In-Sensor Deployment: A Hardware-Aware Analysis. | Mark Horton, Haoxuan Shan, James Kiessling, Huanrui Yang, Yiran Chen, Hai Helen Li |
| 2024 | DATE | AI Models for Edge Computing: Hardware-aware Optimizations for Efficiency. | Hai Helen Li |
| 2024 | ICCAD | EDALearn: A Comprehensive RTL-to-Signoff EDA Benchmark for Democratized and Reproducible ML for EDA Research. | Jingyu Pan, Chen-Chia Chang, Zhiyao Xie, Yiran Chen, Hai Helen Li |
| 2024 | WSDM | Efficient, Direct, and Restricted Black-Box Graph Evasion Attacks to Any-Layer Graph Neural Networks via Influence Function. | Binghui Wang, Minhua Lin, Tianxiang Zhou, Pan Zhou, Ang Li, Meng Pang, Hai Helen Li, Yiran Chen |
| 2023 | DAC | Accelerating Sparse Attention with a Reconfigurable Non-volatile Processing-In-Memory Architecture. | Qilin Zheng, Shiyu Li, Yitu Wang, Ziru Li, Yiran Chen, Hai Helen Li |
| 2023 | DATE | Dynamic Task Remapping for Reliable CNN Training on ReRAM Crossbars. | Chung-Hsuan Tung, Biresh Kumar Joardar, Partha Pratim Pande, Janardhan Rao Doppa, Hai Helen Li, Krishnendu Chakrabarty |
| 2023 | ICLR | Disentangling Learning Representations with Density Estimation. | Eric C. Yeats, Frank Y. Liu, Hai Helen Li |
| 2022 | ACSSC | On Building Efficient and Robust Neural Network Designs. | Xiaoxuan Yang, Huanrui Yang, Jingchi Zhang, Hai Helen Li, Yiran Chen |
| 2022 | CVPR | FedCor: Correlation-Based Active Client Selection Strategy for Heterogeneous Federated Learning. | Minxue Tang, Xuefei Ning, Yitu Wang, Jingwei Sun, Yu Wang, Hai Helen Li, Yiran Chen |
| 2022 | CVPR | Privacy Leakage of Adversarial Training Models in Federated Learning Systems. | Jingyang Zhang, Yiran Chen, Hai Helen Li |
| 2022 | DSD | RRAM-based Neuromorphic Computing: Data Representation, Architecture, Logic, and Programming. | Grace Li Zhang, Shuhang Zhang, Hai Helen Li, Ulf Schlichtmann |
| 2022 | ECCV | NashAE: Disentangling Representations Through Adversarial Covariance Minimization. | Eric C. Yeats, Frank Liu, David Womble, Hai Helen Li |
| 2022 | ISCA | Cascading structured pruning: enabling high data reuse for sparse DNN accelerators. | Edward Hanson, Shiyu Li, Hai Helen Li, Yiran Chen |
| 2022 | ISCAS | Bionic Robust Memristor-Based Artificial Nociception System for Robotics. | Guangyu Feng, Bokyung Kim, Hai Helen Li |
| 2021 | ASPDAC | Connection-based Processing-In-Memory Engine Design Based on Resistive Crossbars. | Shuhang Zhang, Hai Helen Li, Ulf Schlichtmann |
| 2021 | DAC | Neuromorphic Algorithm-hardware Codesign for Temporal Pattern Learning. | Haowen Fang, Brady Taylor, Ziru Li, Zaidao Mei, Hai Helen Li, Qinru Qiu |
| 2021 | DATE | RAISE: A Resistive Accelerator for Subject-Independent EEG Signal Classification. | Fan Chen, Linghao Song, Hai Helen Li, Yiran Chen |
| 2021 | DATE | Efficient AUTOSAR-Compliant CAN-FD Frame Packing with Observed Optimality. | Wenhong Ma, Guoqi Xie, Renfa Li, Weichen Liu, Hai Helen Li, Wanli Chang |
| 2021 | ICCAD | Multi-Objective Optimization of ReRAM Crossbars for Robust DNN Inferencing under Stochastic Noise. | Xiaoxuan Yang, Syrine Belakaria, Biresh Kumar Joardar, Huanrui Yang, Janardhan Rao Doppa, Partha Pratim Pande, Krishnendu Chakrabarty, Hai Helen Li |
| 2021 | ISCAS | 1S1R-Based Stable Learning through Single-Spike-Encoded Spike-Timing-Dependent Plasticity. | Brady Taylor, Amar Shrestha, Qinru Qiu, Hai Helen Li |
| 2020 | AAAI | AutoShrink: A Topology-Aware NAS for Discovering Efficient Neural Architecture. | Tunhou Zhang, Hsin-Pai Cheng, Zhenwen Li, Feng Yan, Chengyu Huang, Hai Helen Li, Yiran Chen |
| 2020 | ASPDAC | PARC: A Processing-in-CAM Architecture for Genomic Long Read Pairwise Alignment using ReRAM. | Fan Chen, Linghao Song, Hai Helen Li, Yiran Chen |
| 2020 | ASPDAC | Parallelism in Deep Learning Accelerators. | Linghao Song, Fan Chen, Yiran Chen, Hai Helen Li |
| 2020 | DAC | ReSiPE: ReRAM-based Single-Spiking Processing-In-Memory Engine. | Ziru Li, Bonan Yan, Hai Helen Li |
| 2020 | DAC | Lattice: An ADC/DAC-less ReRAM-based Processing-In-Memory Architecture for Accelerating Deep Convolution Neural Networks. | Qilin Zheng, Zongwei Wang, Zishun Feng, Bonan Yan, Yimao Cai, Ru Huang, Yiran Chen, Chia-Lin Yang, Hai Helen Li |
| 2020 | DATE | ReBoc: Accelerating Block-Circulant Neural Networks in ReRAM. | Yitu Wang, Fan Chen, Linghao Song, Chuanjin Richard Shi, Hai Helen Li, Yiran Chen |
| 2020 | DATE | A Pulse-width Modulation Neuron with Continuous Activation for Processing-In-Memory Engines. | Shuhang Zhang, Bing Li, Hai Helen Li, Ulf Schlichtmann |
| 2020 | ECCV | Neural Predictor for Neural Architecture Search. | Wei Wen, Hanxiao Liu, Yiran Chen, Hai Helen Li, Gabriel Bender, Pieter-Jan Kindermans |
| 2020 | ICASSP | Structural Sparsification for Far-Field Speaker Recognition with Intel Gna. | Jingchi Zhang, Jonathan Huang, Michael Deisher, Hai Helen Li, Yiran Chen |
| 2019 | DAC | ZARA: A Novel Zero-free Dataflow Accelerator for Generative Adversarial Networks in 3D ReRAM. | Fan Chen, Linghao Song, Hai Helen Li, Yiran Chen |
| 2019 | DAC | MobiEye: An Efficient Cloud-based Video Detection System for Real-time Mobile Applications. | Jiachen Mao, Qing Yang, Ang Li, Hai Helen Li, Yiran Chen |
| 2019 | DATE | RED: A ReRAM-based Deconvolution Accelerator. | Zichen Fan, Ziru Li, Bing Li, Yiran Chen, Hai Helen Li |
| 2019 | DATE | Aging-aware Lifetime Enhancement for Memristor-based Neuromorphic Computing. | Shuhang Zhang, Grace Li Zhang, Bing Li, Hai Helen Li, Ulf Schlichtmann |
| 2019 | FPGA | Fast Confidence Detection: One Hot Way to Detect Adversarial Attacks via Sensor Pattern Noise Fingerprinting. | Yazhu Lan, Qingli Guo, Guohe Zhang, Yuanchao Xu, Kent W. Nixon, Hai Helen Li, Yiran Chen |
| 2019 | ICASSP | Learning Efficient Sparse Structures in Speech Recognition. | Jingchi Zhang, Wei Wen, Michael Deisher, Hsin-Pai Cheng, Hai Helen Li, Yiran Chen |
| 2019 | ICCAD | How to Obtain and Run Light and Efficient Deep Learning Networks. | Fan Chen, Wei Wen, Linghao Song, Jingchi Zhang, Hai Helen Li, Yiran Chen |
| 2019 | ISCAS | Enhance the Robustness to Time Dependent Variability of ReRAM-Based Neuromorphic Computing Systems with Regularization and 2R Synapse. | Qilin Zheng, Jian Kang, Zongwei Wang, Yimao Cai, Ru Huang, Bing Li, Yiran Chen, Hai Helen Li |
| 2018 | ASPDAC | Modeling of biaxial magnetic tunneling junction for multi-level cell STT-RAM realization. | Enes Eken, Ismail Bayram, Hai Helen Li, Yiran Chen |
| 2018 | ASPDAC | Spintronics based stochastic computing for efficient Bayesian inference system. | Xiaotao Jia, Jianlei Yang, Zhaohao Wang, Yiran Chen, Hai Helen Li, Weisheng Zhao |
| 2018 | ASPDAC | Running sparse and low-precision neural network: When algorithm meets hardware. | Bing Li, Wei Wen, Jiachen Mao, Sicheng Li, Yiran Chen, Hai Helen Li |
| 2018 | DATE | ReCom: An efficient resistive accelerator for compressed deep neural networks. | Houxiang Ji, Linghao Song, Li Jiang, Hai Helen Li, Yiran Chen |
| 2018 | DATE | ReRAM-based accelerator for deep learning. | Bing Li, Linghao Song, Fan Chen, Xuehai Qian, Yiran Chen, Hai Helen Li |
| 2018 | HPCA | GraphR: Accelerating Graph Processing Using ReRAM. | Linghao Song, Youwei Zhuo, Xuehai Qian, Hai Helen Li, Yiran Chen |
| 2018 | ISCAS | Pulse-Width Modulation based Dot-Product Engine for Neuromorphic Computing System using Memristor Crossbar Array. | Hao Jiang, Kevin Yamada, Zizhe Ren, Thomas Kwok, Fu Luo, Qing Yang, Xiaorong Zhang, J. Joshua Yang, Qiangfei Xia, Yiran Chen, Hai Helen Li, Qing Wu, Mark Barnell |
| 2017 | ASPDAC | A memristor-based neuromorphic engine with a current sensing scheme for artificial neural network applications. | Chenchen Liu, Qing Yang, Chi Zhang, Hao Jiang, Qing Wu, Hai Helen Li |
| 2017 | ASPDAC | Classification accuracy improvement for neuromorphic computing systems with one-level precision synapses. | Yandan Wang, Wei Wen, Linghao Song, Hai Helen Li |
| 2017 | DATE | Understanding the design of IBM neurosynaptic system and its tradeoffs: A user perspective. | Hsin-Pai Cheng, Wei Wen, Chunpeng Wu, Sicheng Li, Hai Helen Li, Yiran Chen |
| 2017 | DATE | Hybrid spiking-based multi-layered self-learning neuromorphic system based on memristor crossbar arrays. | Amr M. Hassan, Chaofei Yang, Chenchen Liu, Hai Helen Li, Yiran Chen |
| 2017 | IJCNN | Hardware implementation of echo state networks using memristor double crossbar arrays. | Amr M. Hassan, Hai Helen Li, Yiran Chen |
| 2014 | DATE | Accelerating graph computation with racetrack memory and pointer-assisted graph representation. | Eunhyuk Park, Sungjoo Yoo, Sunggu Lee, Hai Helen Li |