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ORCIDYiran Chen 0001
Person information
- affiliation: Duke University, Department of Electrical and Computer Engineering, Durham, NC, USA
- affiliation (since 2010): University of Pittsburgh, Department of Electrical and Computer Engineering, Pittsburgh, PA, USA
- affiliation (2007 - 2010): Seagate Technologies, Inc., Bloomington, MN, USA
- affiliation (2005 - 2007): Synopsys Inc., Mountain View, CA, USA
- affiliation (PhD 2005): Purdue University, West Lafayette, IN, USA
Other persons with the same name
- Yiran Chen 0002
![[0000-0003-4801-2716]](https://dblp.org/img/orcid-mark.12x12.png "0000-0003-4801-2716")
— Xidian University, School of Electronic Engineering, Xi'an, China - Yiran Chen 0003 — Peking University, Institute of Remote Sensing and Geographical Information Systems, Beijing, China
- Yiran Chen 0004 — University of California, Department of Radiology and Biomedical Imaging, San Francisco, CA, USA
- Yiran Chen 0005 — Beihang University, School of Reliability and Systems Engineering, Beijing, China
- Yiran Chen 0006 — Beijing Normal University, College of Information Science and Technology, Beijing, China
- Yiran Chen 0007 — Shandong University, School of Mechanical, Electrical and Information Engineering, Weihai, China
- Yiran Chen 0008 — McGill University, McGill Vision Research, Montreal, Canada
- Yiran Chen 0009 — Tsinghua University, Department of Computer Science and Technology, Tsinghua National Laboratory for Information Science and Technology, Beijing, China
- Yiran Chen 0010 — Chinese Academy of Sciences, Computer Network Information Center, Beijing, China
- Yiran Chen 0011 — Nankai University, College of Software, Tianjin, China
- Yiran Chen 0012 — Alibaba Group, Beijing, China
- Yiran Chen 0013 — ByteDance AI Lab, Shanghai, China (and 1 more)
- Yiran Chen 0014 — Wuhan University, Institute for Advanced Study, Wuhan, China
- Yiran Chen 0015 — Chongqing University, State Key Lab of Mechanic Transmission, China
- Yiran Chen 0016 — Chongqing Institute of Engineering, College of Big Data and Artificial Intelligence, China
- Yiran Chen 0017 — University of Pennsylvania, Department of Linguistics, PA, USA
- Yiran Chen 0018 — Abo Akademi University, Turku, Finland
- Yiran Chen 0019 — Hangzhou Dianzi University, College of Electronics and Information, China
- Yiran Chen 0020 — Hong Kong University of Science and Technology, Guangzhou, China
- Yiran Chen 0021 — Zhejiang University School of Medicine, First Affiliated Hospital, China
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2020 – today
- 2024
[j144]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)- [j143]Bo Lyu, Yin Yang, Yuting Cao, Tuo Shi, Yiran Chen, Tingwen Huang, Shiping Wen:
A memristive all-inclusive hypernetwork for parallel analog deployment of full search space architectures. Neural Networks 175: 106312 (2024) - [j142]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) - [j141]Chen-Chia Chang, Jingyu Pan, Zhiyao Xie, Tunhou Zhang, Jiang Hu, Yiran Chen:
Toward Fully Automated Machine Learning for Routability Estimator Development. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 43(3): 970-982 (2024) - [j140]Jingyu Pan, Xuezhong Lin, Jinming Xu, Yiran Chen, Cheng Zhuo:
Lithography Hotspot Detection Based on Heterogeneous Federated Learning With Local Adaptation and Feature Selection. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 43(5): 1484-1496 (2024) - [j139]He Xiao, Xiaofang Hu, Tongtong Gao, Yue Zhou, Shukai Duan, Yiran Chen:
Efficient Low-Bit Neural Network With Memristor-Based Reconfigurable Circuits. IEEE Trans. Circuits Syst. II Express Briefs 71(1): 66-70 (2024) - [j138]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) - [j137]Bo Lyu, Shiping Wen, Yin Yang, Xiaojun Chang, Junwei Sun, Yiran Chen, Tingwen Huang:
Designing Efficient Bit-Level Sparsity-Tolerant Memristive Networks. IEEE Trans. Neural Networks Learn. Syst. 35(9): 11979-11988 (2024) - [c347]Yiran Chen:
Advancing Federated Learning by Addressing Data and System Heterogeneity. AAAI Spring Symposia 2024: 294 - [c346]Qijia Huang, Huanrui Yang, Eric Zeng, Yiran Chen:
A Deep-Learning-Based Multi-modal ECG and PCG Processing Framework for Label Efficient Heart Sound Segmentation. CHASE 2024: 109-119 - [c345]Anna Wang, Qijia Huang, Yiran Chen:
A Quantized Parsimonious CNN Model for Sleep Polysomnogram Data Streams. CHASE 2024: 162-163 - [c344]Jianyang Gu, Saeed Vahidian, Vyacheslav Kungurtsev, Haonan Wang, Wei Jiang, Yang You, Yiran Chen:
Efficient Dataset Distillation via Minimax Diffusion. CVPR 2024: 15793-15803 - [c343]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 - [c342]Jianyi Zhang, Saeed Vahidian, Martin Kuo, Chunyuan Li, Ruiyi Zhang, Tong Yu, Guoyin Wang, Yiran Chen:
Towards Building The Federatedgpt: Federated Instruction Tuning. ICASSP 2024: 6915-6919 - [c341]Yueqian Lin, Jingyang Zhang, Yiran Chen, Hai Li:
SD-NAE: Generating Natural Adversarial Examples with Stable Diffusion. Tiny Papers @ ICLR 2024 - [c340]Jingwei Sun, Ziyue Xu, Hongxu Yin, Dong Yang, Daguang Xu, Yudong Liu, Zhixu Du, Yiran Chen, Holger R. Roth:
FedBPT: Efficient Federated Black-box Prompt Tuning for Large Language Models. ICML 2024 - [c339]Chen-Chia Chang, Yikang Shen, Shaoze Fan, Jing Li, Shun Zhang, Ningyuan Cao, Yiran Chen, Xin Zhang:
LaMAGIC: Language-Model-based Topology Generation for Analog Integrated Circuits. ICML 2024 - [c338]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 - [c337]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 - [c336]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 - [c335]Hao (Frank) Yang, Yang Zhao, Jiarui Cai, Meixin Zhu, Jenq-Neng Hwang, Yiran Chen:
Mitigating Bias of Deep Neural Networks for Trustworthy Traffic Perception in Autonomous Systems. IV 2024: 633-638 - [c334]Junyue Jiang, Hongliang Lu, Chenxi Liu, Meixin Zhu, Yiran Chen, Hao (Frank) Yang:
Cost-effective Vehicle Recognition System in Challenging Environment Empowered by Micro-Pulse LiDAR and Edge AI. IV 2024: 645-650 - [c333]Cristhian Roman-Vicharra, Yiran Chen, Jiang Hu:
Flip-Flop Centric Incremental Placement for Simultaneous Timing and Clock Network Power Optimization. MLCAD 2024: 11:1-11:7 - [c332]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 - [c331]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 - [c330]Matthew Inkawhich, Nathan Inkawhich, Hai Li, Yiran Chen:
Tunable Hybrid Proposal Networks for the Open World. WACV 2024: 1977-1988 - [c329]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 - [i127]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) - [i126]Saeed Vahidian, Mingyu Wang, Jianyang Gu, Vyacheslav Kungurtsev, Wei Jiang, Yiran Chen:
Group Distributionally Robust Dataset Distillation with Risk Minimization. CoRR abs/2402.04676 (2024) - [i125]Tunhou Zhang, Feng Yan, Hai Helen Li, Yiran Chen:
Peeking Behind the Curtains of Residual Learning. CoRR abs/2402.08645 (2024) - [i124]Jonathan Ku, Junyao Zhang, Haoxuan Shan, Saichand Samudrala, Jiawen Wu, Qilin Zheng, Ziru Li, J. V. Rajendran, Yiran Chen:
ModSRAM: Algorithm-Hardware Co-Design for Large Number Modular Multiplication in SRAM. CoRR abs/2402.14152 (2024) - [i123]Hongru Du, Jianan Zhao, Yang Zhao, Shaochong Xu, Xihong Lin, Yiran Chen, Lauren M. Gardner, Hao (Frank) Yang:
Advancing Real-time Pandemic Forecasting Using Large Language Models: A COVID-19 Case Study. CoRR abs/2404.06962 (2024) - [i122]Matthew Inkawhich, Nathan Inkawhich, Hao Yang, Jingyang Zhang, Randolph Linderman, Yiran Chen:
OSR-ViT: A Simple and Modular Framework for Open-Set Object Detection and Discovery. CoRR abs/2404.10865 (2024) - [i121]Tunhou Zhang, Shiyu Li, Hsin-Pai Cheng, Feng Yan, Hai Li, Yiran Chen:
CSCO: Connectivity Search of Convolutional Operators. CoRR abs/2404.17152 (2024) - [i120]Jingwei Sun, Zhixu Du, Yiran Chen:
Knowledge Graph Tuning: Real-time Large Language Model Personalization based on Human Feedback. CoRR abs/2405.19686 (2024) - [i119]Hao Fu, Tunhou Zhang, Hai Li, Yiran Chen:
Can Dense Connectivity Benefit Outlier Detection? An Odyssey with NAS. CoRR abs/2406.01975 (2024) - [i118]Jianyi Zhang, Yufan Zhou, Jiuxiang Gu, Curtis Wigington, Tong Yu, Yiran Chen, Tong Sun, Ruiyi Zhang:
ARTIST: Improving the Generation of Text-rich Images by Disentanglement. CoRR abs/2406.12044 (2024) - [i117]Merim Dzaferagic, Marco Ruffini, Nina Slamnik-Krijestorac, Joao F. Santos, Johann Márquez-Barja, Christos Tranoris, Spyros G. Denazis, Thomas Kyriakakis, Panagiotis Karafotis, Luiz A. DaSilva, Shashi Raj Pandey, Junya Shiraishi, Petar Popovski, Søren Kejser Jensen, Christian Thomsen, Torben Bach Pedersen, Holger Claussen, Jinfeng Du, Gil Zussman, Tingjun Chen, Yiran Chen, Seshu Tirupathi, Ivan Seskar, Daniel C. Kilper:
Decentralized Multi-Party Multi-Network AI for Global Deployment of 6G Wireless Systems. CoRR abs/2407.01544 (2024) - [i116]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) - [i115]Chen-Chia Chang, Yikang Shan, Shaoze Fan, Jing Li, Shun Zhang, Ningyuan Cao, Yiran Chen, Xin Zhang:
LaMAGIC: Language-Model-based Topology Generation for Analog Integrated Circuits. CoRR abs/2407.18269 (2024) - [i114]Hanqiu Chen, Yitu Wang, Luis Vitório Cargnini, Mohammadreza Soltaniyeh, Dongyang Li, Gongjin Sun, Pradeep Subedi, Andrew Chang, Yiran Chen, Cong Hao:
ICGMM: CXL-enabled Memory Expansion with Intelligent Caching Using Gaussian Mixture Model. CoRR abs/2408.05614 (2024) - [i113]Bhavna Gopal, Huanrui Yang, Jingyang Zhang, Mark Horton, Yiran Chen:
Criticality Leveraged Adversarial Training (CLAT) for Boosted Performance via Parameter Efficiency. CoRR abs/2408.10204 (2024) - [i112]Guanglei Zhou, Bhargav Korrapati, Gaurav Rajavendra Reddy, Jiang Hu, Yiran Chen, Dipto G. Thakurta:
PatternPaint: Generating Layout Patterns Using Generative AI and Inpainting Techniques. CoRR abs/2409.01348 (2024) - [i111]Vyacheslav Kungurtsev, Yuanfang Peng, Jianyang Gu, Saeed Vahidian, Anthony Quinn, Fadwa Idlahcen, Yiran Chen:
Dataset Distillation from First Principles: Integrating Core Information Extraction and Purposeful Learning. CoRR abs/2409.01410 (2024) - 2023
- [j136]Shiyan Hu, Yiran Chen, Qi Zhu, Armando Walter Colombo:
Guest Editorial Machine Learning for Resilient Industrial Cyber-Physical Systems. IEEE Trans Autom. Sci. Eng. 20(1): 3-4 (2023) - [j135]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) - [j134]Zhiyao Xie, Jingyu Pan, Chen-Chia Chang, Jiang Hu, Yiran Chen:
The Dark Side: Security and Reliability Concerns in Machine Learning for EDA. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 42(4): 1171-1184 (2023) - [j133]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) - [j132]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) - [j131]Meng Pang, Binghui Wang, Mang Ye, Yiu-ming Cheung, Yiran Chen, Bihan Wen:
DisP+V: A Unified Framework for Disentangling Prototype and Variation From Single Sample per Person. IEEE Trans. Neural Networks Learn. Syst. 34(2): 867-881 (2023) - [c328]Jianyi Zhang, Aashiq Muhamed, Aditya Anantharaman, Guoyin Wang, Changyou Chen, Kai Zhong, Qingjun Cui, Yi Xu, Belinda Zeng, Trishul Chilimbi, Yiran Chen:
ReAugKD: Retrieval-Augmented Knowledge Distillation For Pre-trained Language Models. ACL (2) 2023: 1128-1136 - [c327]Chen-Chia Chang, Jingyu Pan, Zhiyao Xie, Yaguang Li, Yishuang Lin, Jiang Hu, Yiran Chen:
Fully Automated Machine Learning Model Development for Analog Placement Quality Prediction. ASP-DAC 2023: 58-63 - [c326]Chen-Chia Chang, Jingyu Pan, Zhiyao Xie, Jiang Hu, Yiran Chen:
Rethink before Releasing Your Model: ML Model Extraction Attack in EDA. ASP-DAC 2023: 252-257 - [c325]Xiaoxuan Yang, Shiyu Li, Qilin Zheng, Yiran Chen:
Improving the Robustness and Efficiency of PIM-Based Architecture by SW/HW Co-Design. ASP-DAC 2023: 618-623 - [c324]Edward Hanson, Mark Horton, Hai (Helen) Li, Yiran Chen:
DefT: Boosting Scalability of Deformable Convolution Operations on GPUs. ASPLOS (3) 2023: 134-146 - [c323]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 - [c322]Richard Petri, Grace Li Zhang, Yiran Chen, Ulf Schlichtmann, Bing Li:
PowerPruning: Selecting Weights and Activations for Power-Efficient Neural Network Acceleration. DAC 2023: 1-6 - [c321]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 - [c320]Bokyung Kim, Zhixu Du, Jingwei Sun, Yiran Chen:
Invited Paper: Towards the Efficiency, Heterogeneity, and Robustness of Edge AI. ICCAD 2023: 1-7 - [c319]Qijun Zhang, Shiyu Li, Guanglei Zhou, Jingyu Pan, Chen-Chia Chang, Yiran Chen, Zhiyao Xie:
PANDA: Architecture-Level Power Evaluation by Unifying Analytical and Machine Learning Solutions. ICCAD 2023: 1-9 - [c318]Jingwei Sun, Ziyue Xu, Dong Yang, Vishwesh Nath, Wenqi Li, Can Zhao, Daguang Xu, Yiran Chen, Holger R. Roth:
Communication-Efficient Vertical Federated Learning with Limited Overlapping Samples. ICCV 2023: 5180-5189 - [c317]Yuewei Yang, Hai Li, Yiran Chen:
Stable and Causal Inference for Discriminative Self-supervised Deep Visual Representations. ICCV 2023: 16063-16074 - [c316]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 - [c315]Bhavna Gopal, Arjun Sridhar, Tunhou Zhang, Yiran Chen:
LISSNAS: Locality-based Iterative Search Space Shrinkage for Neural Architecture Search. IJCAI 2023: 773-781 - [c314]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 - [c313]Prianka Sengupta, Aakash Tyagi, Yiran Chen, Jiang Hu:
Early Identification of Timing Critical RTL Components using ML based Path Delay Prediction. MLCAD 2023: 1-6 - [c312]Zhihui Gao, Yiran Chen, Tingjun Chen:
Swirls: Sniffing Wi-Fi Using Radios with Low Sampling Rates. MobiHoc 2023: 260-269 - [c311]Christopher Wolters, Brady Taylor, Edward Hanson, Xiaoxuan Yang, Ulf Schlichtmann, Yiran Chen:
Biologically Plausible Learning on Neuromorphic Hardware Architectures. MWSCAS 2023: 733-737 - [c310]Junyao Zhang, Hanrui Wang, Gokul Subramanian Ravi, Frederic T. Chong, Song Han, Frank Mueller, Yiran Chen:
DISQ: Dynamic Iteration Skipping for Variational Quantum Algorithms. QCE 2023: 1062-1073 - [c309]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 - [c308]Tunhou Zhang, Mingyuan Ma, Feng Yan, Hai Li, Yiran Chen:
: Joint Point Interaction-Dimension Search for 3D Point Cloud. WACV 2023: 1298-1307 - [c307]Likun Zhang, Yahong Chen, Ang Li, Binghui Wang, Yiran Chen, Fenghua Li, Jin Cao, Ben Niu:
Interpreting Disparate Privacy-Utility Tradeoff in Adversarial Learning via Attribute Correlation. WACV 2023: 4690-4698 - [c306]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 - [c305]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 - [i110]Patrick Bowen, Guy Regev, Nir Regev, Bruno Pedroni, Edward Hanson, Yiran Chen:
Analog, In-memory Compute Architectures for Artificial Intelligence. CoRR abs/2302.06417 (2023) - [i109]Richard Petri, Grace Li Zhang, Yiran Chen, Ulf Schlichtmann, Bing Li:
PowerPruning: Selecting Weights and Activations for Power-Efficient Neural Network Acceleration. CoRR abs/2303.13997 (2023) - [i108]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) - [i107]Jingwei Sun, Ziyue Xu, Dong Yang, Vishwesh Nath, Wenqi Li, Can Zhao, Daguang Xu, Yiran Chen, Holger R. Roth:
Communication-Efficient Vertical Federated Learning with Limited Overlapping Samples. CoRR abs/2303.16270 (2023) - [i106]Jingwei Sun, Zhixu Du, Anna Dai, Saleh Baghersalimi, Alireza Amirshahi, David Atienza, Yiran Chen:
Robust and IP-Protecting Vertical Federated Learning against Unexpected Quitting of Parties. CoRR abs/2303.18178 (2023) - [i105]Jianyi Zhang, Saeed Vahidian, Martin Kuo, Chunyuan Li, Ruiyi Zhang, Guoyin Wang, Yiran Chen:
Towards Building the Federated GPT: Federated Instruction Tuning. CoRR abs/2305.05644 (2023) - [i104]Lin Duan, Jingwei Sun, Yiran Chen, Maria Gorlatova:
PrivaScissors: Enhance the Privacy of Collaborative Inference through the Lens of Mutual Information. CoRR abs/2306.07973 (2023) - [i103]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) - [i102]Bhavna Gopal, Arjun Sridhar, Tunhou Zhang, Yiran Chen:
LISSNAS: Locality-based Iterative Search Space Shrinkage for Neural Architecture Search. CoRR abs/2307.03110 (2023) - [i101]Junyao Zhang, Hanrui Wang, Gokul Subramanian Ravi, Frederic T. Chong, Song Han, Frank Mueller, Yiran Chen:
DISQ: Dynamic Iteration Skipping for Variational Quantum Algorithms. CoRR abs/2308.06634 (2023) - [i100]Yuewei Yang, Hai Li, Yiran Chen:
Stable and Causal Inference for Discriminative Self-supervised Deep Visual Representations. CoRR abs/2308.08321 (2023) - [i99]Jingwei Sun, Ziyue Xu, Hongxu Yin, Dong Yang, Daguang Xu, Yiran Chen, Holger R. Roth:
FedBPT: Efficient Federated Black-box Prompt Tuning for Large Language Models. CoRR abs/2310.01467 (2023) - [i98]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) - [i97]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) - [i96]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) - [i95]Martin Kuo, Jianyi Zhang, Yiran Chen:
DACBERT: Leveraging Dependency Agreement for Cost-Efficient Bert Pretraining. CoRR abs/2311.04799 (2023) - [i94]Yueqian Lin, Jingyang Zhang, Yiran Chen, Hai Helen Li:
SD-NAE: Generating Natural Adversarial Examples with Stable Diffusion. CoRR abs/2311.12981 (2023) - [i93]Jianyang Gu, Saeed Vahidian, Vyacheslav Kungurtsev, Haonan Wang, Wei Jiang, Yang You, Yiran Chen:
Efficient Dataset Distillation via Minimax Diffusion. CoRR abs/2311.15529 (2023) - [i92]Yuqi Jia, Saeed Vahidian, Jingwei Sun, Jianyi Zhang, Vyacheslav Kungurtsev, Neil Zhenqiang Gong, Yiran Chen:
Unlocking the Potential of Federated Learning: The Symphony of Dataset Distillation via Deep Generative Latents. CoRR abs/2312.01537 (2023) - [i91]Jingyu Pan, Chen-Chia Chang, Zhiyao Xie, Yiran Chen:
EDALearn: A Comprehensive RTL-to-Signoff EDA Benchmark for Democratized and Reproducible ML for EDA Research. CoRR abs/2312.01674 (2023) - [i90]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) - [i89]Qijun Zhang, Shiyu Li, Guanglei Zhou, Jingyu Pan, Chen-Chia Chang, Yiran Chen, Zhiyao Xie:
PANDA: Architecture-Level Power Evaluation by Unifying Analytical and Machine Learning Solutions. CoRR abs/2312.08994 (2023) - 2022
- [j130]Xiaoxuan Yang, Changming Wu, Mo Li, Yiran Chen:
Tolerating Noise Effects in Processing-in-Memory Systems for Neural Networks: A Hardware-Software Codesign Perspective. Adv. Intell. Syst. 4(8) (2022) - [j129]Yiran Chen, Sherief Reda:
ISLPED 2021: The 25th Anniversary! IEEE Des. Test 39(1): 92-93 (2022) - [j128]Youhui Zhang, Yiran Chen, Yuanyuan Mi:
Editorial: Machine learning for computational neural modeling and data analyses. Frontiers Comput. Neurosci. 16 (2022) - [j127]Nathan Inkawhich, Jingyang Zhang, Eric K. Davis, Ryan Luley, Yiran Chen:
Improving Out-of-Distribution Detection by Learning From the Deployment Environment. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 15: 2070-2086 (2022) - [j126]Yiran Chen, Qinru Qiu:
Guest Editorial: IEEE TC Special Issue On Software, Hardware and Applications for Neuromorphic Computing. IEEE Trans. Computers 71(11): 2705-2706 (2022) - [j125]Taozhong Li, Naifeng Jing, Zhigang Mao, Yiran Chen:
A Hybrid-Grained Remapping Defense Scheme Against Hard Failures for Row-Column-NVM. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 41(6): 1842-1854 (2022) - [j124]Chengning Wang, Dan Feng, Wei Tong, Jingning Liu, Bing Wu, Yiran Chen:
Space-Time-Efficient Modeling of Large-Scale 3-D Cross-Point Memory Arrays by Operation Adaption and Network Compaction. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 41(10): 3479-3491 (2022) - [j123]Zhiyao Xie, Rongjian Liang, Xiaoqing Xu, Jiang Hu, Chen-Chia Chang, Jingyu Pan, Yiran Chen:
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