Yiran Chen

ORCID

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 134

Top Venues

CoRR

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.

ICCAD

DAC

Publications

Jingwei Sun, Zhixu Du, Yiran Chen
Knowledge Graph Tuning: Real-time Large Language Model Personalization based on Human Feedback. CoRR (2024)
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 (2024)
Tergel Molom-Ochir, Brady Taylor, Hai Li, Yiran Chen
MonoSparse-CAM: Harnessing Monotonicity and Sparsity for Enhanced Tree Model Processing on CAMs. CoRR (2024)
Saeed Vahidian, Mingyu Wang, Jianyang Gu, Vyacheslav Kungurtsev, Wei Jiang, Yiran Chen
Group Distributionally Robust Dataset Distillation with Risk Minimization. CoRR (2024)
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) (2024)
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) (2024)
Tunhou Zhang, Feng Yan, Hai Helen Li, Yiran Chen
Peeking Behind the Curtains of Residual Learning. CoRR (2024)
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) (2024)
Matthew Inkawhich, Nathan Inkawhich, Hai Li, Yiran Chen
Tunable Hybrid Proposal Networks for the Open World. WACV (2024)
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 (2024)
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 (2024)
Anna Wang, Qijia Huang, Yiran Chen
A Quantized Parsimonious CNN Model for Sleep Polysomnogram Data Streams. CHASE (2024)
Hao Fu, Tunhou Zhang, Hai Li, Yiran Chen
Can Dense Connectivity Benefit Outlier Detection? An Odyssey with NAS. CoRR (2024)
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)
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 (2024)
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)
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 (2024)
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) (2024)
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) (2024)
Tunhou Zhang, Shiyu Li, Hsin-Pai Cheng, Feng Yan, Hai Li, Yiran Chen
CSCO: Connectivity Search of Convolutional Operators. CoRR (2024)
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 (2024)
Yueqian Lin, Jingyang Zhang, Yiran Chen, Hai Li
SD-NAE: Generating Natural Adversarial Examples with Stable Diffusion. Tiny Papers @ ICLR (2024)
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)
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)
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)
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 (2024)
Yiran Chen
Advancing Federated Learning by Addressing Data and System Heterogeneity. AAAI Spring Symposia (2024)
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)
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) (2024)
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)
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)
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)
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)
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) (2023)
Jingyang Zhang, Nathan Inkawhich, Randolph Linderman, Yiran Chen, Hai Li
Mixture Outlier Exposure: Towards Out-of-Distribution Detection in Fine-grained Environments. WACV (2023)
Yufan Cao, Tunhou Zhang, Wei Wen, Feng Yan, Hai Li, Yiran Chen
Farthest Greedy Path Sampling for Two-shot Recommender Search. CoRR (2023)
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)
Yuewei Yang, Hai Li, Yiran Chen
Stable and Causal Inference for Discriminative Self-supervised Deep Visual Representations. ICCV (2023)
Bhavna Gopal, Arjun Sridhar, Tunhou Zhang, Yiran Chen
LISSNAS: Locality-based Iterative Search Space Shrinkage for Neural Architecture Search. CoRR (2023)
Richard Petri, Grace Li Zhang, Yiran Chen, Ulf Schlichtmann, Bing Li
PowerPruning: Selecting Weights and Activations for Power-Efficient Neural Network Acceleration. DAC (2023)
Jianyi Zhang, Saeed Vahidian, Martin Kuo, Chunyuan Li, Ruiyi Zhang, Guoyin Wang, Yiran Chen
Towards Building the Federated GPT: Federated Instruction Tuning. CoRR (2023)
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 (2023)
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 (2023)
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)
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) (2023)
Linghao Song, Fan Chen, Hai Li, Yiran Chen
ReFloat: Low-Cost Floating-Point Processing in ReRAM for Accelerating Iterative Linear Solvers. SC (2023)
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 (2023)
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) (2023)
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)
Tunhou Zhang, Mingyuan Ma, Feng Yan, Hai Li, Yiran Chen
: Joint Point Interaction-Dimension Search for 3D Point Cloud. WACV (2023)
Martin Kuo, Jianyi Zhang, Yiran Chen
DACBERT: Leveraging Dependency Agreement for Cost-Efficient Bert Pretraining. CoRR (2023)
Prianka Sengupta, Aakash Tyagi, Yiran Chen, Jiang Hu
Early Identification of Timing Critical RTL Components using ML based Path Delay Prediction. MLCAD (2023)
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)
Yueqian Lin, Jingyang Zhang, Yiran Chen, Hai Helen Li
SD-NAE: Generating Natural Adversarial Examples with Stable Diffusion. CoRR (2023)
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) (2023)
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)
Zhihui Gao, Yiran Chen, Tingjun Chen
Swirls: Sniffing Wi-Fi Using Radios with Low Sampling Rates. MobiHoc (2023)
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)
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 (2023)
Patrick Bowen, Guy Regev, Nir Regev, Bruno Pedroni, Edward Hanson, Yiran Chen
Analog, In-memory Compute Architectures for Artificial Intelligence. CoRR (2023)
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)
Richard Petri, Grace Li Zhang, Yiran Chen, Ulf Schlichtmann, Bing Li
PowerPruning: Selecting Weights and Activations for Power-Efficient Neural Network Acceleration. CoRR (2023)
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) (2023)
Lin Duan, Jingwei Sun, Yiran Chen, Maria Gorlatova
PrivaScissors: Enhance the Privacy of Collaborative Inference through the Lens of Mutual Information. CoRR (2023)
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 (2023)
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 (2023)
Bokyung Kim, Zhixu Du, Jingwei Sun, Yiran Chen
Invited Paper: Towards the Efficiency, Heterogeneity, and Robustness of Edge AI. ICCAD (2023)
Edward Hanson, Mark Horton, Hai (Helen) Li, Yiran Chen
DefT: Boosting Scalability of Deformable Convolution Operations on GPUs. ASPLOS (3) (2023)
Christopher Wolters, Brady Taylor, Edward Hanson, Xiaoxuan Yang, Ulf Schlichtmann, Yiran Chen
Biologically Plausible Learning on Neuromorphic Hardware Architectures. MWSCAS (2023)
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 (2023)
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 (2023)
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)
Bhavna Gopal, Arjun Sridhar, Tunhou Zhang, Yiran Chen
LISSNAS: Locality-based Iterative Search Space Shrinkage for Neural Architecture Search. IJCAI (2023)
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)
Yuewei Yang, Hai Li, Yiran Chen
Stable and Causal Inference for Discriminative Self-supervised Deep Visual Representations. CoRR (2023)
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)
Jingyang Zhang, Nathan Inkawhich, Randolph Linderman, Ryan Luley, Yiran Chen, Hai Helen Li
SIO: Synthetic In-Distribution Data Benefits Out-of-Distribution Detection. CoRR (2023)
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)
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 (2023)
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)
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) (2023)
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 (2023)
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) (2022)
Xiangru Chen, Dong Li, Yiran Chen, Jie Xiong
Boosting the sensing granularity of acoustic signals by exploiting hardware non-linearity. HotNets (2022)
Yiran Chen, Qinru Qiu
Guest Editorial: IEEE TC Special Issue On Software, Hardware and Applications for Neuromorphic Computing. IEEE Trans. Computers 71 (11) (2022)
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 (2022)
Brady Taylor, Qilin Zheng, Ziru Li, Shiyu Li, Yiran Chen
Processing-in-Memory Technology for Machine Learning: From Basic to ASIC. IEEE Trans. Circuits Syst. II Express Briefs 69 (6) (2022)
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 (2022)
Jian Zhang, Jian Tang, Yiran Chen, Jie Liu, Jieping Ye, Marilyn Wolf, Vijaykrishnan Narayanan, Mani B. Srivastava, Michael I. Jordan, Victor Bahl
The 5th Artificial Intelligence of Things (AIoT) Workshop. KDD (2022)
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)
Changyou Chen, Jianyi Zhang, Yi Xu, Liqun Chen, Jiali Duan, Yiran Chen, Son Tran, Belinda Zeng, Trishul Chilimbi
Why do We Need Large Batchsizes in Contrastive Learning? A Gradient-Bias Perspective. NeurIPS (2022)
Zhiyao Xie, Shiyu Li, Mingyuan Ma, Chen-Chia Chang, Jingyu Pan, Yiran Chen, Jiang Hu
DEEP: Developing Extremely Efficient Runtime On-Chip Power Meters. ICCAD (2022)
Prianka Sengupta, Aakash Tyagi, Yiran Chen, Jiang Hu
How Good Is Your Verilog RTL Code?: A Quick Answer from Machine Learning. ICCAD (2022)
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)
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 (2022)
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) (2022)
Jingyu Pan, Chen-Chia Chang, Zhiyao Xie, Jiang Hu, Yiran Chen
Robustify ML-Based Lithography Hotspot Detectors. ICCAD (2022)
Vikas Chandra, Yiran Chen, Sungjoo Yoo
Introduction to the Special Section on Energy-Efficient AI Chips. ACM Trans. Design Autom. Electr. Syst. 27 (5) (2022)
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)
Huanrui Yang, Xiaoxuan Yang, Neil Zhenqiang Gong, Yiran Chen
HERO: hessian-enhanced robust optimization for unifying and improving generalization and quantization performance. DAC (2022)

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Publication Activity (10 Years)

Top Topics

Top Venues

Yiran Chen