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ORCIDHai Li 0001
Hai Helen Li – Hai (Helen) Li
Person information
- affiliation: Duke University, Department of Electrical and Computer Engineering, Durham, NC, USA
- affiliation: University of Pittsburgh, Department of Electrical and Computer Engineering, Pittsburgh, PA, USA
- affiliation: NYU Polytechnic Institute, Department of Electrical and Computer Engineering, New York, NY, USA
- affiliation: Seagate Technology LLC, Bloomington, MN, USA
- affiliation: Intel Corporation, Santa Clara, CA, USA
- affiliation: Qualcomm Inc., San Diego, CA, USA
- affiliation: Purdue University, Electrical and Computer Engineering, West Lafayette, IN, USA
Other persons with the same name
- Hai Li — disambiguation page
- Hai Li 0002 — National University of Defense Technology, Changsha, School of Computer
- Hai Li 0003 — University of Lancaster, Department of Computing (and 1 more)
- Hai Li 0004 — Plymouth University, School of Computing and Mathematics
- Hai Li 0005
![[0000-0002-6240-7688]](https://dblp.org/img/orcid-mark.12x12.png "0000-0002-6240-7688")
— Beijing Institute of Technology, School of Information and Electronics, China - Hai Li 0006 — Weill Cornell Medicical College, Houston, Methodist Hospital Research Institute (and 2 more)
- Hai Li 0007 — University of East Anglia, Norwich, UK
- Hai Li 0008 — Intel, Portland, USA (and 1 more)
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2020 – today
- 2024
[j90]Yiran Chen, Suman Banerjee, Shaundra Daily, Jeffery Krolik, Hai (Helen) Li, Daniel B. Limbrick, Miroslav Pajic, Rajashi Runton, Lin Zhong:
Athena - The NSF AI Institute for Edge Computing. AI Mag. 45(1): 15-21 (2024)- [j89]Vivek De, Hai Li:
Recap of the 61st ACM/IEEE Design Automation Conference (DAC61): The "Chips to Systems Conference". IEEE Des. Test 41(6): 95-96 (2024) - [j88]Shiyu Li, Yitu Wang, Edward Hanson, Andrew Chang, Yang-Seok Ki, Hai Li, Yiran Chen:
NDRec: A Near-Data Processing System for Training Large-Scale Recommendation Models. IEEE Trans. Computers 73(5): 1248-1261 (2024) - [j87]Xiaoxuan Yang, Zhangyang Wang, X. Sharon Hu, Chris H. Kim, Shimeng Yu, Miroslav Pajic, Rajit Manohar, Yiran Chen, Hai Helen Li:
Neuro-Symbolic Computing: Advancements and Challenges in Hardware-Software Co-Design. IEEE Trans. Circuits Syst. II Express Briefs 71(3): 1683-1689 (2024) - [c290]Brady Taylor, Xiaoxuan Yang, Hai Li:
Weight Update Scheme for 1T1R Memristor Array Based Equilibrium Propagation. AICAS 2024: 388-392 - [c289]Tunhou Zhang, Shiyu Li, Hsin-Pai Cheng, Feng Yan, Hai Li, Yiran Chen:
CSCO: Connectivity Search of Convolutional Operators. CVPR Workshops 2024: 1685-1694 - [c288]Xuzhe Zhang, Yuhao Wu, Elsa D. Angelini, Ang Li, Jia Guo, Jerod M. Rasmussen, Thomas G. O'Connor, Pathik D. Wadhwa, Andrea Parolin Jackowski, Hai Li, Jonathan Posner, Andrew F. Laine, Yun Wang:
MAPSeg: Unified Unsupervised Domain Adaptation for Heterogeneous Medical Image Segmentation Based on 3D Masked Autoencoding and Pseudo-Labeling. CVPR 2024: 5851-5862 - [c287]Hai Helen Li:
AI Models for Edge Computing: Hardware-aware Optimizations for Efficiency. DATE 2024: 1 - [c286]Bokyung Kim, Hai Li, Yiran Chen:
Processing-in-Memory Designs Based on Emerging Technology for Efficient Machine Learning Acceleration. ACM Great Lakes Symposium on VLSI 2024: 614-619 - [c285]Yueqian Lin, Jingyang Zhang, Yiran Chen, Hai Li:
SD-NAE: Generating Natural Adversarial Examples with Stable Diffusion. Tiny Papers @ ICLR 2024 - [c284]Yitu Wang, Shiyu Li, Qilin Zheng, Linghao Song, Zongwang Li, Andrew Chang, Hai Li, Yiran Chen:
NDSEARCH: Accelerating Graph-Traversal-Based Approximate Nearest Neighbor Search through Near Data Processing. ISCA 2024: 368-381 - [c283]Qilin Zheng, Shiyu Li, Yitu Wang, Ziru Li, Yiran Chen, Hai (Helen) Li:
Hybrid Digital/Analog Memristor-based Computing Architecture for Sparse Deep Learning Acceleration. ISCAS 2024: 1-5 - [c282]Minxue Tang, Jingwei Sun, Hai Helen Li, Yiran Chen:
Embracing Privacy, Robustness, and Efficiency with Trustworthy Federated Learning on Edge Devices. ISVLSI 2024: 284-289 - [c281]Zhixu Du, Shiyu Li, Yuhao Wu, Xiangyu Jiang, Jingwei Sun, Qilin Zheng, Yongkai Wu, Ang Li, Hai Li, Yiran Chen:
SiDA: Sparsity-Inspired Data-Aware Serving for Efficient and Scalable Large Mixture-of-Experts Models. MLSys 2024 - [c280]Minxue Tang, Anna Dai, Louis DiValentin, Aolin Ding, Amin Hass, Neil Zhenqiang Gong, Yiran Chen, Hai (Helen) Li:
ModelGuard: Information-Theoretic Defense Against Model Extraction Attacks. USENIX Security Symposium 2024 - [c279]Matthew Inkawhich, Nathan Inkawhich, Hai Li, Yiran Chen:
Tunable Hybrid Proposal Networks for the Open World. WACV 2024: 1977-1988 - [c278]Binghui Wang, Minhua Lin, Tianxiang Zhou, Pan Zhou, Ang Li, Meng Pang, Hai Helen Li, Yiran Chen:
Efficient, Direct, and Restricted Black-Box Graph Evasion Attacks to Any-Layer Graph Neural Networks via Influence Function. WSDM 2024: 693-701 - [i103]Junyao Zhang, Hanrui Wang, Qi Ding, Jiaqi Gu, Reouven Assouly, William D. Oliver, Song Han, Kenneth R. Brown, Hai Helen Li, Yiran Chen:
Qplacer: Frequency-Aware Component Placement for Superconducting Quantum Computers. CoRR abs/2401.17450 (2024) - [i102]Tunhou Zhang, Feng Yan, Hai Helen Li, Yiran Chen:
Peeking Behind the Curtains of Residual Learning. CoRR abs/2402.08645 (2024) - [i101]Atsuyuki Miyai, Jingkang Yang, Jingyang Zhang, Yifei Ming, Qing Yu, Go Irie, Yixuan Li, Hai Li, Ziwei Liu, Kiyoharu Aizawa:
Unsolvable Problem Detection: Evaluating Trustworthiness of Vision Language Models. CoRR abs/2403.20331 (2024) - [i100]Jingyang Zhang, Jingwei Sun, Eric C. Yeats, Yang Ouyang, Martin Kuo, Jianyi Zhang, Hao Yang, Hai Helen Li:
Min-K%++: Improved Baseline for Detecting Pre-Training Data from Large Language Models. CoRR abs/2404.02936 (2024) - [i99]Eric C. Yeats, Cameron Darwin, Eduardo Ortega, Frank Liu, Hai Li:
Do Counterfactual Examples Complicate Adversarial Training? CoRR abs/2404.10588 (2024) - [i98]Tunhou Zhang, Shiyu Li, Hsin-Pai Cheng, Feng Yan, Hai Li, Yiran Chen:
CSCO: Connectivity Search of Convolutional Operators. CoRR abs/2404.17152 (2024) - [i97]Hao Fu, Tunhou Zhang, Hai Li, Yiran Chen:
Can Dense Connectivity Benefit Outlier Detection? An Odyssey with NAS. CoRR abs/2406.01975 (2024) - [i96]Qinwei Huang, Chen Luo, Alex B. Wu, Simon Khan, Hai Li, Qinru Qiu:
Multi-agent Cooperative Games Using Belief Map Assisted Training. CoRR abs/2406.19477 (2024) - [i95]Tergel Molom-Ochir, Brady Taylor, Hai Li, Yiran Chen:
MonoSparse-CAM: Harnessing Monotonicity and Sparsity for Enhanced Tree Model Processing on CAMs. CoRR abs/2407.11071 (2024) - [i94]Atsuyuki Miyai, Jingkang Yang, Jingyang Zhang, Yifei Ming, Yueqian Lin, Qing Yu, Go Irie, Shafiq Joty, Yixuan Li, Hai Li, Ziwei Liu, Toshihiko Yamasaki, Kiyoharu Aizawa:
Generalized Out-of-Distribution Detection and Beyond in Vision Language Model Era: A Survey. CoRR abs/2407.21794 (2024) - [i93]Jianyi Zhang, Hao (Fran)k Yang, Ang Li, Xin Guo, Pu Wang, Haiming Wang, Yiran Chen, Hai Li:
MLLM-FL: Multimodal Large Language Model Assisted Federated Learning on Heterogeneous and Long-tailed Data. CoRR abs/2409.06067 (2024) - [i92]Minxue Tang, Yitu Wang, Jingyang Zhang, Louis DiValentin, Aolin Ding, Amin Hass, Yiran Chen, Hai (Helen) Li:
FedProphet: Memory-Efficient Federated Adversarial Training via Theoretic-Robustness and Low-Inconsistency Cascade Learning. CoRR abs/2409.08372 (2024) - [i91]Cong Guo, Feng Cheng, Zhixu Du, James Kiessling, Jonathan Ku, Shiyu Li, Ziru Li, Mingyuan Ma, Tergel Molom-Ochir, Benjamin Morris, Haoxuan Shan, Jingwei Sun, Yitu Wang, Chiyue Wei, Xueying Wu, Yuhao Wu, Hao Frank Yang, Jingyang Zhang, Junyao Zhang, Qilin Zheng, Guanglei Zhou, Hai Li, Yiran Chen:
A Survey: Collaborative Hardware and Software Design in the Era of Large Language Models. CoRR abs/2410.07265 (2024) - 2023
- [j86]Charles Augustine, Hai Helen Li:
ISLPED 2022: An Experience of a Hybrid Conference in the Time of COVID-19. IEEE Des. Test 40(1): 105-107 (2023) - [j85]Edward Hanson, Shiyu Li, Xuehai Qian, Hai Helen Li, Yiran Chen:
DyNNamic: Dynamically Reshaping, High Data-Reuse Accelerator for Compact DNNs. IEEE Trans. Computers 72(3): 880-892 (2023) - [j84]Xiaoxuan Yang, Huanrui Yang, Janardhan Rao Doppa, Partha Pratim Pande, Krishnendu Chakrabarty, Hai Li:
ESSENCE: Exploiting Structured Stochastic Gradient Pruning for Endurance-Aware ReRAM-Based In-Memory Training Systems. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 42(7): 2187-2199 (2023) - [j83]Hai Helen Li:
MWSCAS Guest Editorial Special Issue Based on the 64th International Midwest Symposium on Circuits and Systems. IEEE Trans. Circuits Syst. I Regul. Pap. 70(1): 1-2 (2023) - [j82]Weisheng Zhao, Hai Helen Li, Domenico Zito:
Outgoing Editorial. IEEE Trans. Circuits Syst. I Regul. Pap. 70(12): 4675-4677 (2023) - [j81]Hai Helen Li:
Guest Editorial Special Issue on the International Symposium on Integrated Circuits and Systems - ISICAS 2023. IEEE Trans. Circuits Syst. I Regul. Pap. 70(12): 4678 (2023) - [j80]Ziru Li, Qilin Zheng, Yiran Chen, Hai Helen Li:
SpikeSen: Low-Latency In-Sensor-Intelligence Design With Neuromorphic Spiking Neurons. IEEE Trans. Circuits Syst. II Express Briefs 70(6): 1876-1880 (2023) - [j79]Yitu Wang, Shiyu Li, Qilin Zheng, Andrew Chang, Hai Li, Yiran Chen:
EMS-i: An Efficient Memory System Design with Specialized Caching Mechanism for Recommendation Inference. ACM Trans. Embed. Comput. Syst. 22(5s): 100:1-100:22 (2023) - [j78]Biresh Kumar Joardar, Janardhan Rao Doppa, Hai (Helen) Li, Krishnendu Chakrabarty, Partha Pratim Pande:
ReaLPrune: ReRAM Crossbar-Aware Lottery Ticket Pruning for CNNs. IEEE Trans. Emerg. Top. Comput. 11(2): 303-317 (2023) - [c277]Edward Hanson, Mark Horton, Hai (Helen) Li, Yiran Chen:
DefT: Boosting Scalability of Deformable Convolution Operations on GPUs. ASPLOS (3) 2023: 134-146 - [c276]Randolph Linderman, Jingyang Zhang, Nathan Inkawhich, Hai Helen Li, Yiran Chen:
Fine-grain Inference on Out-of-Distribution Data with Hierarchical Classification. CoLLAs 2023: 162-183 - [c275]Huanrui Yang, Hongxu Yin, Maying Shen, Pavlo Molchanov, Hai Li, Jan Kautz:
Global Vision Transformer Pruning with Hessian-Aware Saliency. CVPR 2023: 18547-18557 - [c274]Qilin Zheng, Shiyu Li, Yitu Wang, Ziru Li, Yiran Chen, Hai Helen Li:
Accelerating Sparse Attention with a Reconfigurable Non-volatile Processing-In-Memory Architecture. DAC 2023: 1-6 - [c273]Chung-Hsuan Tung, Biresh Kumar Joardar, Partha Pratim Pande, Janardhan Rao Doppa, Hai Helen Li, Krishnendu Chakrabarty:
Dynamic Task Remapping for Reliable CNN Training on ReRAM Crossbars. DATE 2023: 1-6 - [c272]Chen Luo, Qinwei Huang, Alex B. Wu, Simon Khan, Hai Li, Qinru Qiu:
Multi-Agent Cooperative Games Using Belief Map Assisted Training. ECAI 2023: 1617-1624 - [c271]Bokyung Kim, Shiyu Li, Hai Li:
INCA: Input-stationary Dataflow at Outside-the-box Thinking about Deep Learning Accelerators. HPCA 2023: 29-41 - [c270]Yuewei Yang, Hai Li, Yiran Chen:
Stable and Causal Inference for Discriminative Self-supervised Deep Visual Representations. ICCV 2023: 16063-16074 - [c269]Eric C. Yeats, Frank Y. Liu, Hai Helen Li:
Disentangling Learning Representations with Density Estimation. ICLR 2023 - [c268]Jianyi Zhang, Ang Li, Minxue Tang, Jingwei Sun, Xiang Chen, Fan Zhang, Changyou Chen, Yiran Chen, Hai Li:
Fed-CBS: A Heterogeneity-Aware Client Sampling Mechanism for Federated Learning via Class-Imbalance Reduction. ICML 2023: 41354-41381 - [c267]Ximing Qiao, Hai Li:
On a New Type of Neural Computation for Probabilistic Symbolic Reasoning. IJCNN 2023: 1-9 - [c266]Edward Hanson, Shiyu Li, Guanglei Zhou, Feng Cheng, Yitu Wang, Rohan Bose, Hai Li, Yiran Chen:
Si-Kintsugi: Towards Recovering Golden-Like Performance of Defective Many-Core Spatial Architectures for AI. MICRO 2023: 972-985 - [c265]Linghao Song, Fan Chen, Hai Li, Yiran Chen:
ReFloat: Low-Cost Floating-Point Processing in ReRAM for Accelerating Iterative Linear Solvers. SC 2023: 75:1-75:15 - [c264]Tunhou Zhang, Mingyuan Ma, Feng Yan, Hai Li, Yiran Chen:
: Joint Point Interaction-Dimension Search for 3D Point Cloud. WACV 2023: 1298-1307 - [c263]Jingyang Zhang, Nathan Inkawhich, Randolph Linderman, Yiran Chen, Hai Li:
Mixture Outlier Exposure: Towards Out-of-Distribution Detection in Fine-grained Environments. WACV 2023: 5520-5529 - [c262]Tunhou Zhang, Dehua Cheng, Yuchen He, Zhengxing Chen, Xiaoliang Dai, Liang Xiong, Feng Yan, Hai Li, Yiran Chen, Wei Wen:
NASRec: Weight Sharing Neural Architecture Search for Recommender Systems. WWW 2023: 1199-1207 - [i90]Jingchi Zhang, Huanrui Yang, Hai Li:
HCE: Improving Performance and Efficiency with Heterogeneously Compressed Neural Network Ensemble. CoRR abs/2301.07794 (2023) - [i89]Eric C. Yeats, Frank Liu, Hai Helen Li:
Disentangling Learning Representations with Density Estimation. CoRR abs/2302.04362 (2023) - [i88]Xuzhe Zhang, Yuhao Wu, Jia Guo, Jerod M. Rasmussen, Thomas G. O'Connor, Hyagriv N. Simhan, Sonja Entringer, Pathik D. Wadhwa, Claudia Buss, Cristiane S. Duarte, Andrea Jackowski, Hai Li, Jonathan Posner, Andrew F. Laine, Yun Wang:
3D Masked Autoencoding and Pseudo-labeling for Domain Adaptive Segmentation of Heterogeneous Infant Brain MRI. CoRR abs/2303.09373 (2023) - [i87]Jingyang Zhang, Nathan Inkawhich, Randolph Linderman, Ryan Luley, Yiran Chen, Hai Helen Li:
SIO: Synthetic In-Distribution Data Benefits Out-of-Distribution Detection. CoRR abs/2303.14531 (2023) - [i86]Jingyang Zhang, Jingkang Yang, Pengyun Wang, Haoqi Wang, Yueqian Lin, Haoran Zhang, Yiyou Sun, Xuefeng Du, Kaiyang Zhou, Wayne Zhang, Yixuan Li, Ziwei Liu, Yiran Chen, Hai Li:
OpenOOD v1.5: Enhanced Benchmark for Out-of-Distribution Detection. CoRR abs/2306.09301 (2023) - [i85]Yuewei Yang, Hai Li, Yiran Chen:
Stable and Causal Inference for Discriminative Self-supervised Deep Visual Representations. CoRR abs/2308.08321 (2023) - [i84]Xueying Wu, Edward Hanson, Nansu Wang, Qilin Zheng, Xiaoxuan Yang, Huanrui Yang, Shiyu Li, Feng Cheng, Partha Pratim Pande, Janardhan Rao Doppa, Krishnendu Chakrabarty, Hai Li:
Block-Wise Mixed-Precision Quantization: Enabling High Efficiency for Practical ReRAM-based DNN Accelerators. CoRR abs/2310.12182 (2023) - [i83]Zhixu Du, Shiyu Li, Yuhao Wu, Xiangyu Jiang, Jingwei Sun, Qilin Zheng, Yongkai Wu, Ang Li, Hai (Helen) Li, Yiran Chen:
SiDA: Sparsity-Inspired Data-Aware Serving for Efficient and Scalable Large Mixture-of-Experts Models. CoRR abs/2310.18859 (2023) - [i82]Yufan Cao, Tunhou Zhang, Wei Wen, Feng Yan, Hai Li, Yiran Chen:
Farthest Greedy Path Sampling for Two-shot Recommender Search. CoRR abs/2310.20705 (2023) - [i81]Tunhou Zhang, Wei Wen, Igor Fedorov, Xi Liu, Buyun Zhang, Fangqiu Han, Wen-Yen Chen, Yiping Han, Feng Yan, Hai Li, Yiran Chen:
DistDNAS: Search Efficient Feature Interactions within 2 Hours. CoRR abs/2311.00231 (2023) - [i80]Yueqian Lin, Jingyang Zhang, Yiran Chen, Hai Helen Li:
SD-NAE: Generating Natural Adversarial Examples with Stable Diffusion. CoRR abs/2311.12981 (2023) - [i79]Yitu Wang, Shiyu Li, Qilin Zheng, Linghao Song, Zongwang Li, Andrew Chang, Hai (Helen) Li, Yiran Chen:
In-Storage Acceleration of Graph-Traversal-Based Approximate Nearest Neighbor Search. CoRR abs/2312.03141 (2023) - [i78]Eric C. Yeats, Cameron Darwin, Frank Liu, Hai Li:
Adversarial Estimation of Topological Dimension with Harmonic Score Maps. CoRR abs/2312.06869 (2023) - 2022
- [j77]Chaitanya K. Baru, Michael Pozmantier, Ilkay Altintas, Stephen Baek, Jonathan Cohen, Laura E. Condon, Giulia Fanti, Raul Castro Fernandez, Ethan Jackson, Upmanu Lall, Bennett A. Landman, Hai Li, Claudia Marin, Beatriz Martínez-López, Dimitris N. Metaxas, Bradley D. Olsen, Grier P. Page, Yelda Turkan, Jingbo Zhang, Peng Zhang:
Enabling AI Innovation via Data and Model Sharing: An Overview of the Nsf Convergence Accelerator Track D. AI Mag. 43(1): 93-104 (2022) - [j76]Hai Li, Alaa R. Alameldeen, Onur Mutlu:
Guest Editors' Introduction: Near-Memory and In-Memory Processing. IEEE Des. Test 39(2): 46-47 (2022) - [j75]Chukwufumnanya Ogbogu, Aqeeb Iqbal Arka, Biresh Kumar Joardar, Janardhan Rao Doppa, Hai Helen Li, Krishnendu Chakrabarty, Partha Pratim Pande:
Accelerating Large-Scale Graph Neural Network Training on Crossbar Diet. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 41(11): 3626-3637 (2022) - [j74]Hai Helen Li:
Guest Editorial Special Issue on the International Symposium on Integrated Circuits and Systems - ISICAS 2022. IEEE Trans. Circuits Syst. I Regul. Pap. 69(12): 4730 (2022) - [j73]Jiachen Mao, Qing Yang, Ang Li, Kent W. Nixon, Hai Li, Yiran Chen:
Toward Efficient and Adaptive Design of Video Detection System with Deep Neural Networks. ACM Trans. Embed. Comput. Syst. 21(3): 33:1-33:21 (2022) - [j72]Muhammad Shafique, Theocharis Theocharides, Hai Li, Chun Jason Xue:
Introduction to the Special Issue on Accelerating AI on the Edge - Part 1. ACM Trans. Embed. Comput. Syst. 21(5): 47:1-47:5 (2022) - [j71]Muhammad Shafique, Theocharis Theocharides, Hai (Helen) Li, Chun Jason Xue:
Introduction to the Special Issue on Accelerating AI on the Edge - Part 2. ACM Trans. Embed. Comput. Syst. 21(6): 67:1-67:5 (2022) - [c261]Xiaoxuan Yang, Huanrui Yang, Jingchi Zhang, Hai Helen Li, Yiran Chen:
On Building Efficient and Robust Neural Network Designs. IEEECONF 2022: 317-321 - [c260]Brady Taylor, Nicky Ramos, Eric C. Yeats, Hai Li:
CMOS Implementation of Spiking Equilibrium Propagation for Real-Time Learning. AICAS 2022: 283-286 - [c259]Hsin-Pai Cheng, Feng Liang, Meng Li, Bowen Cheng, Feng Yan, Hai Li, Vikas Chandra, Yiran Chen:
ScaleNAS: Multi-Path One-Shot NAS for Scale-Aware High-Resolution Representation. AutoML 2022: 15/1-18 - [c258]Jianyi Zhang, Zhixu Du, Jingwei Sun, Ang Li, Minxue Tang, Yuhao Wu, Zhihui Gao, Martin Kuo, Hai Helen Li, Yiran Chen:
Next Generation Federated Learning for Edge Devices: An Overview. CIC 2022: 10-15 - [c257]Jingyang Zhang, Yiran Chen, Hai Helen Li:
Privacy Leakage of Adversarial Training Models in Federated Learning Systems. CVPR Workshops 2022: 107-113 - [c256]Minxue Tang, Xuefei Ning, Yitu Wang, Jingwei Sun, Yu Wang, Hai Helen Li, Yiran Chen:
FedCor: Correlation-Based Active Client Selection Strategy for Heterogeneous Federated Learning. CVPR 2022: 10092-10101 - [c255]Grace Li Zhang, Shuhang Zhang, Hai Helen Li, Ulf Schlichtmann:
RRAM-based Neuromorphic Computing: Data Representation, Architecture, Logic, and Programming. DSD 2022: 423-428 - [c254]Eric C. Yeats, Frank Liu, David Womble, Hai Helen Li:
NashAE: Disentangling Representations Through Adversarial Covariance Minimization. ECCV (27) 2022: 36-51 - [c253]Jörg Henkel, Hai Li, Anand Raghunathan, Mehdi B. Tahoori, Swagath Venkataramani, Xiaoxuan Yang, Georgios Zervakis:
Approximate Computing and the Efficient Machine Learning Expedition. ICCAD 2022: 80:1-80:9 - [c252]Binghui Wang, Ang Li, Meng Pang, Hai Li, Yiran Chen:
GraphFL: A Federated Learning Framework for Semi-Supervised Node Classification on Graphs. ICDM 2022: 498-507 - [c251]Edward Hanson, Shiyu Li, Hai Helen Li, Yiran Chen:
Cascading structured pruning: enabling high data reuse for sparse DNN accelerators. ISCA 2022: 522-535 - [c250]Guangyu Feng, Bokyung Kim, Hai Helen Li:
Bionic Robust Memristor-Based Artificial Nociception System for Robotics. ISCAS 2022: 3552-3556 - [c249]Bonan Yan, Jeng-Long Hsu, Pang-Cheng Yu, Chia-Chi Lee, Yaojun Zhang, Wenshuo Yue, Guoqiang Mei, Yuchao Yang, Yue Yang, Hai Li, Yiran Chen, Ru Huang:
A 1.041-Mb/mm2 27.38-TOPS/W Signed-INT8 Dynamic-Logic-Based ADC-less SRAM Compute-in-Memory Macro in 28nm with Reconfigurable Bitwise Operation for AI and Embedded Applications. ISSCC 2022: 188-190 - [c248]Jingwei Sun, Ang Li, Lin Duan, Samiul Alam, Xuliang Deng, Xin Guo, Haiming Wang, Maria Gorlatova, Mi Zhang, Hai Li, Yiran Chen:
FedSEA: A Semi-Asynchronous Federated Learning Framework for Extremely Heterogeneous Devices. SenSys 2022: 106-119 - [c247]Matthew Inkawhich, Nathan Inkawhich, Eric K. Davis, Hai Li, Yiran Chen:
The Untapped Potential of Off-the-Shelf Convolutional Neural Networks. WACV 2022: 2907-2916 - [e5]Hai Helen Li, Charles Augustine, Ayse Kivilcim Coskun, Swaroop Ghosh:
ISLPED '22: ACM/IEEE International Symposium on Low Power Electronics and Design, Boston, MA, USA, August 1 - 3, 2022. ACM 2022, ISBN 978-1-4503-9354-6 [contents] - [i77]Jingyang Zhang, Yiran Chen, Hai Helen Li:
Privacy Leakage of Adversarial Training Models in Federated Learning Systems. CoRR abs/2202.10546 (2022) - [i76]Tunhou Zhang, Dehua Cheng, Yuchen He, Zhengxing Chen, Xiaoliang Dai, Liang Xiong, Feng Yan, Hai Li, Yiran Chen, Wei Wen:
NASRec: Weight Sharing Neural Architecture Search for Recommender Systems. CoRR abs/2207.07187 (2022) - [i75]Matthew Inkawhich, Nathan Inkawhich, Hai Helen Li, Yiran Chen:
Self-Trained Proposal Networks for the Open World. CoRR abs/2208.11050 (2022) - [i74]Ximing Qiao, Hai Li:
Learning and Compositionality: a Unification Attempt via Connectionist Probabilistic Programming. CoRR abs/2208.12789 (2022) - [i73]Minxue Tang, Jianyi Zhang, Mingyuan Ma, Louis DiValentin, Aolin Ding, Amin Hassanzadeh, Hai Helen Li, Yiran Chen:
FADE: Enabling Large-Scale Federated Adversarial Training on Resource-Constrained Edge Devices. CoRR abs/2209.03839 (2022) - [i72]Randolph Linderman, Jingyang Zhang, Nathan Inkawhich, Hai Helen Li, Yiran Chen:
Fine-grain Inference on Out-of-Distribution Data with Hierarchical Classification. CoRR abs/2209.04493 (2022) - [i71]Eric C. Yeats, Frank Liu, David Womble, Hai Li:
NashAE: Disentangling Representations through Adversarial Covariance Minimization. CoRR abs/2209.10677 (2022) - [i70]Jianyi Zhang, Ang Li, Minxue Tang, Jingwei Sun, Xiang Chen, Fan Zhang, Changyou Chen, Yiran Chen, Hai Li:
Fed-CBS: A Heterogeneity-Aware Client Sampling Mechanism for Federated Learning via Class-Imbalance Reduction. CoRR abs/2209.15245 (2022) - [i69]Jörg Henkel, Hai Li, Anand Raghunathan, Mehdi B. Tahoori, Swagath Venkataramani, Xiaoxuan Yang, Georgios Zervakis:
Approximate Computing and the Efficient Machine Learning Expedition. CoRR abs/2210.00497 (2022) - [i68]Zhixu Du, Jingwei Sun, Ang Li, Pin-Yu Chen, Jianyi Zhang, Hai (Helen) Li, Yiran Chen:
Rethinking Normalization Methods in Federated Learning. CoRR abs/2210.03277 (2022) - [i67]Yuewei Yang, Jingwei Sun, Ang Li, Hai Li, Yiran Chen:
More Generalized and Personalized Unsupervised Representation Learning In A Distributed System. CoRR abs/2211.06470 (2022) - [i66]Tunhou Zhang, Mingyuan Ma, Feng Yan, Hai Li, Yiran Chen:
PIDS: Joint Point Interaction-Dimension Search for 3D Point Cloud. CoRR abs/2211.15759 (2022) - 2021
- [j70]Feng Liang, Zhichao Tian, Ming Dong, Shuting Cheng, Li Sun, Hai Li, Yiran Chen, Guohe Zhang:
Efficient neural network using pointwise convolution kernels with linear phase constraint. Neurocomputing 423: 572-579 (2021) - [j69]Qing Yang, Jiachen Mao, Zuoguan Wang, Hai (Helen) Li:
Dynamic Regularization on Activation Sparsity for Neural Network Efficiency Improvement. ACM J. Emerg. Technol. Comput. Syst. 17(4): 51:1-51:16 (2021) - [j68]Biresh Kumar Joardar, Janardhan Rao Doppa, Partha Pratim Pande, Hai Li, Krishnendu Chakrabarty:
AccuReD: High Accuracy Training of CNNs on ReRAM/GPU Heterogeneous 3-D Architecture. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 40(5): 971-984 (2021) - [j67]Wei Hu, Chip-Hong Chang, Anirban Sengupta, Swarup Bhunia, Ryan Kastner, Hai Li:
An Overview of Hardware Security and Trust: Threats, Countermeasures, and Design Tools. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 40(6): 1010-1038 (2021) - [j66]Xiaoxiao Liu, Mengjie Mao, Xiuyuan Bi, Hai Helen Li, Yiran Chen:
Exploring Applications of STT-RAM in GPU Architectures. IEEE Trans. Circuits Syst. I Regul. Pap. 68(1): 238-249 (2021) - [j65]Qing Yang, Hai Li:
BitSystolic: A 26.7 TOPS/W 2b~8b NPU With Configurable Data Flows for Edge Devices. IEEE Trans. Circuits Syst. I Regul. Pap. 68(3): 1134-1145 (2021) - [j64]Bokyung Kim, Edward Hanson, Hai Li:
An Efficient 3D ReRAM Convolution Processor Design for Binarized Weight Networks. IEEE Trans. Circuits Syst. II Express Briefs 68(5): 1600-1604 (2021) - [j63]