2024

Papers related to vision technologies and applications

Y. Lin, Z. Wang, D. Zhang, K. -T. Cheng and H. Chen, "BoNuS: Boundary Mining for Nuclei Segmentation with Partial Point Labels", IEEE Transactions on Medical Imaging (TMI), 2024.

Papers related to hardware system design technologies

P. Dong, Y. Tan, D. Zhang, T. Ni, X. Liu, Y. Liu, P. Luo, L. Liang, S. Liu, X. Huang, H. Zhu, Y. Pan, F. An and K.-T. Cheng, "Genetic Quantization-Aware Approximation for Non-Linear Operations in Transformers", in 61th ACM/IEEE Design Automation Conference (DAC), 2024

P. Dong, Y. Tan, D. Zhang, Y. Wu, X. Huang, S. Liu, Y. Liu, X. Liu, P. Luo, L. Liang, F. An and K.-T. Cheng, "Additive Partial Sum Quantization", in 61th ACM/IEEE Design Automation Conference (DAC), 2024

2023

Papers related to vision technologies and applications

Y. Lin, Z. Qu, H. Chen, Z. Gao, Y. Li, L. Xia, K. Ma, Y. Zheng and K.-T. Cheng, "Nuclei segmentation with point annotations from pathology images via self-supervised learning and co-training", Medical Image Analysis (MEDIA), 2023.

Y. Lin, Y. Chen, K.-T. Cheng and H. Chen, "Few Shot Medical Image Segmentation with Cross Attention Transformer", International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2023.

S. Li, X. Li, X. Xu, and K.-T. Cheng, "Dynamic Subcluster-Aware Network for Few-Shot Skin Disease Classification", IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2023.

S. Liu, Z. Liu, X. Huang, P. Dong, and K.-T. Cheng, "LLM-FP4: 4-Bit Floating-Point Quantized Transformers", The 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP), 2023.

D. Zhang, Y. Lin, J. Tang, and K. -T. Cheng, "AE-GReaT: Convolutional-Auxiliary Efficient Graph Reasoning Transformer for Dense Image Predictions", International Journal of Computer Vision (IJCV), 2023.

H. Wu, X. Li, Y. Lin, and K.-T. Cheng, "Compete to Win: Enhancing Pseudo Labels for Barely-supervised Medical Image Segmentation",IEEE Transactions on Medical Imaging (TMI), 2023.

J. Shi, Y. Li, Q. Cheng, X. Yang, K. -T. Cheng, and Z. Yan,"M^2 FTrans: Modality-Masked Fusion Transformer for Incomplete Multi-Modality Brain Tumor Segmentation", IEEE Journal of Biomedical and Health Informatics (JBHI) 2023.

W. Dai, Y. Du, H. Bai, K. -T. Cheng, and X. Li, "Semi-Supervised Contrastive Learning for Deep Regression with Ordinal Rankings from Spectral Seriation", Thirty-seventh Conference on Neural Information Processing Systems (NeurIPS-23), 2023.

H. Wu, X. Li, and K.-T. Cheng,"Exploring Feature Representation Learning for Semi-Supervised Medical Image Segmentation", IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2023.

W. Dai, X. Li, and K. -T. Cheng, "Semi-Supervised Deep Regression with Uncertainty Consistency and Variational Model Ensembling via Bayesian Neural Networks", 37th AAAI Conference on Artificial Intelligence (AAAI-23), 2023.

W. Dai, X. Li, T. Yu, D. Zhao, J. Shen, and K. -T. Cheng, "Radiomics-Informed Deep Learning for Classification of Atrial Fibrillation Sub-Types from Left-Atrium CT Volumes", International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2023.

Y. Dang, C. Huang, P. Chen, R. Liang, X. Yang, and K. -T. Cheng, "Path-Analysis-Based Reinforcement Learning Algorithm for Imitation Filming", IEEE Transactions on Multimedia (TMM) 2023.

W. Dai, X. Li, X. Ding, and K.-T. Cheng, "Cyclical Self-Supervision for Semi-Supervised Ejection Fraction Prediction From Echocardiogram Videos",IEEE Transactions on Medical Imaging (TMI), 2023.

S. Liu, Z. Liu and K.-T. Cheng, "Oscillation-free Quantization for Low-bit Vision Transformers", International Conference on Machine Learning (ICML), 2023.

X. Lin, L. Yu, K. -T. Cheng and Z. Yan,"BATFormer: Towards Boundary-Aware Lightweight Transformer for Efficient Medical Image Segmentation", IEEE Journal of Biomedical and Health Informatics (JBHI) 2023.

Y. Cai, H. Chen, X. Yang, Y, Zhou and K.-T. Cheng, "Dual-distribution discrepancy with self-supervised refinement for anomaly detection in medical images",Medical Image Analysis, 2023.

J. Wicaksana, Z. Yan, D. Zhang, X. Huang, H. Wu, X. Yang, and K.-T. Cheng, "FedMix: Mixed Supervised Federated Learning for Medical Image Segmentation",IEEE Transactions on Medical Imaging (TMI), 2023.

Y. Lin, D. Zhang, X. Fang, Y. Chen, K. -T. Cheng and H. Chen, "Rethinking Boundary Detection in Deep Learning Models for Medical Image Segmentation", Information Processing in Medical Imaging (IPMI), 2023.

X. Lin, L. Yu, K. -T. Cheng and Z. Yan, "The Lighter The Better: Rethinking Transformers in Medical Image Segmentation Through Adaptive Pruning", IEEE Transactions on Medical Imaging (TMI), 2023.

Papers related to hardware system design technologies

F. Tian, J. Chen, J. He, X. Wang, S. Zhao, J. Chen, F. Tu, J. Yang, M. Sawan, CY. Tsui, KT.T. Cheng, "Neuromorphic System-on-Chip Towards Efficient Edge Healthcare," 2023 ACM/IEEE Design Automation Conference (DAC), 2023

J. Chen, F. Tu, K. Shao, F. Tian, CY. Tsui, and KT.T. Cheng, "AutoDCIM: An Automated Digital CIM Compiler," 2023 ACM/IEEE Design Automation Conference (DAC), 2023

X. Wang, F. Tian, X. Chen, J. Zheng, X. Liu, F. Tu, J. Yang, M. Sawan, KT.T. Cheng, and CY. Tsui, "A 137.5 TOPS/W SRAM Compute-in-Memory Macro with 9-b Memory Cell-Embedded ADCs and Signal Margin Enhancement Techniques for AI Edge Applications," 2023 IEEE Asian Solid-State Circuits Conference (ASSCC), 2023

F. Tian, X. Wang, J. Chen, J. Yang and M. Sawan, CY. Tsui, and KT.T. Cheng, " Binary is All You Need: Ultra-Efficient Arrhythmia Detection with a Binary-Only Compressive System," 2023 IEEE 5th International Conference on Artificial Intelligence Circuits and Systems (AICAS), 2023

J. He, Z. Shen, F. Tian, J. Chen, J. Yang, M. Sawan, KT.T. Cheng, P. Bogdan, and CY. Tsui, "SNNOpt: An Application-Specific Design Framework for Spiking Neural Networks," 2023 IEEE 5th International Conference on Artificial Intelligence Circuits and Systems (AICAS), 2023

F. Tian, X. Wang, J. Chen, J. Zheng, H. Wu, X. Liu, F. Tu, J. Yang, M. Sawan, C.Y. Tsui, and K.-T. Cheng, "BIOS: A 40nm Bionic Sensor-defined 0.47pJ/SOP, 268.7TSOPs/W Configurable Spiking Neuron-in-Memory Processor for Wearable Healthcare", 2023 IEEE European Solid-State Circuits Conference (ESSCIRC), 2023

P. Dong, Z. Chen, K. Li, L. Chen, K.-T. Cheng and F. An "A 1920X1080 129fps 4.3pJ/Pixel Stereo-Matching Processor for Pico Aerial Vehicles", in IEEE 49th European Solid State Circuits Conference (ESSCIRC), 2023

X. Hou, J. Liu, X. Tang, C. Li, K.-T. Cheng, L. Li and M. Guo "MMExit: Enabling Fast and Efficient Multi-modal DNN Inference with Adaptive Network Exits", in The 29th International European Conference on Parallel and Distributed Computing., 2023.

X. Hou, J. Liu, X. Tang, C. Li, J. Chen, L. Liang, K.-T. Cheng and M. Guo "Architecting Efficient Multi-modal AIoT Systems", in The 50th International Symposium on Computer Architecture (ISCA-50), 2023.

X. Hu, X. Liu, Y. Liu, X. Huang, X. Guan, L. Liang, C.-Y. Tsui and K.-T. Cheng "A Tiny Accelerator for Mixed-bit Sparse CNN based on Efficient Fetch Method of SIMO SPad", in IEEE Transactions on Circuits and Systems II: Express Briefs. (TCAS-II), 2023.

2022

Papers related to vision technologies and applications

Y. Lin, Z. Wang, K. -T. Cheng and H. Chen, "InsMix: Towards Realistic Generative Data Augmentation for Nuclei Instance Segmentation", International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2022.

W. Dai, X. Li, X. Ding and K. -T. Cheng, "Cyclical Self-Supervision for Semi-Supervised Ejection Fraction Prediction from Echocardiogram Videos", IEEE Transactions on Medical Imaging (TMI), 2022.

Y. Cai, H. Chen, X. Yang, Y. Zhou, and K.-T. Cheng, "Dual-Distribution Discrepancy for Anomaly Detection in Chest X-Rays.", International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2022.

D. Zhang, J. Tang, and K.-T. Cheng, "Graph Reasoning Transformer for Image Parsing.", ACM Multimedia (ACM MM), 2022.

Z. Liu, K.-T. Cheng, D. Huang, E. Xing and Z. Shen, "Nonuniform-to-Uniform Quantization: Towards Accurate Quantization via Generalized Straight-Through Estimation", IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022.

A. Chavan, Z. Shen, Z. Liu, Z. Liu, K.-T. Cheng, and E. Xing, "Vision Transformer Slimming: Multi-Dimension Searching in Continuous Optimization Space", IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022.

J. Wicaksana, Z. Yan, X. Yang, Y. Liu, L. Fan, and K.-T. Cheng, "Customized Federated Learning for Multi-Source Decentralized Medical Image Classification", IEEE Journal of Biomedical and Health Informatics, 2022.

Y. Dang, C. Huang, P. Chen, R. Liang, X. Yang and K.-T. Cheng, "Imitation Learning-Based Algorithm for Drone Cinematography System", IEEE Transactions on Cognitive and Developmental Systems,2022.

X. Huang, Z. Shen, S. Li, Z. Liu, X. Hu, J. Wicaksana, E. Xing and K.-T. Cheng, "SDQ: Stochastic Differentiable Quantization with Mixed Precision", International Conference on Machine Learning (ICML), 2022.

W. Dai, X. Li, W. Chiu, M. Kuo and K.-T. Cheng, "Adaptive Contrast for Image Regression in Computer-Aided Disease Assessment", IEEE Transactions on Medical Imaging,2022.

S. Li, Z. Liu, Z. Shen and K.-T. Cheng, "Stereo Neural Vernier Caliper", 36th AAAI Conference on Artificial Intelligence (AAAI-22), 2022.

Papers related to hardware system design technologies

X. Hou, C. Xu, J. Liu, X. Tang, L. Sun, C. Li, and K.-T. Cheng, "Characterizing and Understanding End-to-End Multi-modal Neural Networks on GPUs", in IEEE Computer Architecture Letter (CAL), 2022.

2021

Papers related to vision technologies and applications

Z. Liu, X. Zhang, Z. Shen, Y. Wei, K.-T. Cheng and J. Sun, "Joint Multi-Dimension Pruning via Numerical Gradient Update" IEEE Transactions on Image Processing (TIP), September 2021.

J. Xian, Z. Wang, K.-T. Cheng and X. Yang, "Towards Robust Dual-view Transformation via Densifying Sparse Supervision for Mammography Lesion Matching," International Conference on Medical Image Computing and Computer Assisted Interventions (MICCAI), 2021.

Z. Yan, J. Wicaksana, Z. Wang, X. Yang, and K.-T. Cheng, "Variation-Aware Federated Learning with Multi-Source Decentralized Medical Image Data," IEEE Journal of Biomedical and Health Informatics, July 2021.

Z. Liu, Z. Shen, S. Li, K. Helwegen, D. Huang and K.-T. Cheng, "How Do Adam and Training Strategies Help BNNs Optimization", International Conference on Machine Learning (ICML), 2021.

S. Li, Z. Yan, H. Li and K.-T. Cheng, "Exploring Intermediate Representation for Monocular Vehicle Pose Estimation", IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021.

Z. Shen, Z. Liu, J. Qin, L. Huang, K.-T. Cheng, and M. Savvides, "S2-BNN: Bridging the Gap Between Self-Supervised Real and 1-Bit Neural Networks via Guided Distribution Calibration", IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021.

X. Yang, J. Chen, Y. Dang, H. Luo, Y. Tang, C. Liao, P. Chen, and K.-T. Cheng, "Fast Depth Prediction and Obstacle Avoidance on a Monocular Drone using Probabilistic Convolutional Neural Network", to appear in IEEE Transactions on Intelligent Transportation Systems, January 2021.

C. Huang, Y. Dang, P. Chen, X. Yang and K.-T. Cheng, "One-Shot Imitation Drone Filming of Human Motion Videos", IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), January 2021.

Z. Shen, Z. Liu, J. Qin, M. Savvides, K.-T. Cheng, "Partial Is Better Than All: Revisiting Fine-tuning Strategy for Few-shot Learning", 35th AAAI Conference on Artificial Intelligence (AAAI-21), 2021.

Papers related to hardware system design technologies

Y. Wang and K.-T. Cheng, "Traffic-Adaptive Power Reconfiguration for Energy-Efficient and Energy-Proportional Optical Interconnects", in International Conference on Computer Aided Design (ICCAD), November 2021.

M. Lastras-Monta, O.D. Pozo-Zamudio, L. Glebsky, M. Zhao, H. Wu, and K.-T. Cheng, "Ratio-based Multi-level Resistive Memory Cells", in Scientific Reports, January 2021.

Y. Wang, P. Sun, J. Hulme, M. A. Seyedi, M. Fiorentino, R. G. Beausoleil and K.-T. Cheng, "Energy Efficiency and Yield Optimization for Optical Interconnects via Transceiver Grouping," in Journal of Lightwave Technology, vol. 39, no. 6, pp. 1567-1578, 2021.

2020

Papers related to vision technologies and applications

X. Jiang, Q. Luo, Z. Wang, T. Mei, Y. Wen, X. Li, K.-T. Cheng, and X. Yang, "Multi-phase and Multi-level Selective Feature Fusion for Automated Pancreas Segmentation from CT Images", International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2020.

Z. Liu, Z. Shen, M. Savvides, K.-T. Cheng, "ReActNet: Towards Precise Binary Neural Network with Generalized Activation Functions", 16th European Conference on Computer Vision (ECCV), 2020.

Z. Wang, X. Jiang, J. Liu. K.-T. Cheng, and X. Yang, "Multi-task Siamese Network for Retinal Artery/Vein Separation via Deep Convolution along Vessel", IEEE Trans. on Medical Imaging, September 2020.

S. Li, L. Ke, K. Pratama, Y.-W. Tai, C.-K. Tang and K.-T Cheng, "Cascaded Deep Monocular 3D Human Pose Estimation with Evolutionary Training Data", IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), June 2020 (Oral Presentation).

H. Phan, Z. Liu, Z. Shen, M. Savvides, D. T. Huynh and K.-T. Cheng, "Binarizing MobileNet via Evolution-based Searching", IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), June 2020.

X. Yang, Y. Lin, Z. Wang, X. Li, and K. -T. Cheng, "Bi-modality Medical Image Synthesis using Semi-supervised Sequential Generative Adversarial Networks," IEEE Journal of Biomedical and Health Informatics, Volume 24, Issue 3, March 2020.

Z. Yan, X. Yang, and K.-T. Cheng, "Enabling a Single Deep Learning Model for Accurate Gland Instance Segmentation: A Shape-aware Adversarial Learning Framework", IEEE Transactions on Medical Imaging, vol. 39, no. 6, pp. 2176-2189, 2020.

Papers related to hardware system design technologies

K.-T. Cheng, N. Gong, and M. A. Lastras-Montaño, "Variability in emerging memory devices and solutions," in Section 8 of Roadmap paper Roadmap on Emerging Hardware and Technology for Machine Learning, Qiangfei Xia et al., Nanotechnology, July 2020.

L. Shao, T. Lei, T.-C. Huang, Z. Bao and K.-T. Cheng, "Robust Design of Large Area Flexible Electronics via Compressed Sensing", 57th ACM/EDAC/IEEE Design Automation Conference (DAC), July 2020.

Y. Wang, J. Hulme, P. Sun, M. Jain, M. A. Seyedi, M. Fiorentino, R. G. Beausoleil and K.-T. Cheng, "Characterization and Applications of Spatial Variation Models for Silicon Microring-Based Optical Transceivers", 57th ACM/EDAC/IEEE Design Automation Conference (DAC), July 2020.

Tsung-Ching Huang, Ting Lei, Leilai Shao, Sridhar Sivapurapu, Madhavan Swaminathan, Zhenan Bao, Kwang-Ting Cheng and Raymond Beausoleil, "Process design kit and design automation for flexible hybridelectronics", Journal of the Society for Information Display (Invited Paper), March 2020.

2019

Papers related to vision technologies and applications

X. Yang, Y. Gao, H. Luo, C. Liao, and K. -T. Cheng, "Bayesian DeNet: Monocular Depth Prediction and Frame-wise Fusion with Synchronized Uncertainty," IEEE Transactions on Multimedia, Nov. 2019.

Z. Liu, W. Luo, B. Wu, X. Yang, W. Liu, and K. -T. Cheng, "Bi-Real Net: Binarizing Deep Network Towards Real-Network Performance," International Journal of Computer Vision (IJCV), 2019.

Z. Liu, H. Mu, X. Zhang, Z. Guo, X. Yang, K. -T. Cheng, and J. Sun, "MetaPruning: Meta Learning for Automatic Neural Network Channel Pruning," in International Conference on Computer Vision (ICCV), 2019.

Y. Lin, J. Su, X. Wang, X. Li, J. Liu, K. -T. Cheng, and X. Yang "Automated Pulmonary Embolism Detection from CTPA Images using an End-to-End Convolutional Neural Network," in International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2019.

X. Yang, Y. Lin, J. Su, X. Wang, X. Li, J. Lin, and K. -T. Cheng, "A Two-stage Convolutional Neural Network for Pulmonary Embolism Detection from CTPA Images," IEEE Access, 2019.

Y. Dang, P. Chen, R. Liang, C. Huang, Y. Tang, T. Yu, X. Yang, and K. -T. Cheng, "Real-time Semantic Plane Reconstruction on a Monocular Drone using Sparse Fusion," IEEE Transactions on Vehicular Technology, vol. 68, no. 8, pp. 7383-7391, Aug. 2019.

K. Helwegen, J. Widdicombe, L. Geiger, Z. Liu, K. -T. Cheng, and R. Nusselder, "Latent Weights Do Not Exist: Rethinking Binarized Neural Network Optimization," NeurIPS, December, 2019.

C. Huang, C. -E. Lin, Z. Yang, Y. Kong, P. Chen, X. Yang, and K. -T. Cheng, "Learning to Film from Professtional Human Motion Videos," in IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), 2019.

C. Huang, Z. Yang, Y. Kong, P. Chen, X. Yang, and K. -T. Cheng, "Learning to Capture a Film-Look Video with a Camera Drone," in IEEE International Conference on Robotics and Automation (ICRA), 2019.

H. Luo, Y. Gao, Y. Wu, C. Liao, X. Yang, and K. -T. Cheng, "Real-time Dense Monocular SLAM with Online Adapted Depth Prediction Network," IEEE Transactions on Multimedia, vol. 21, no. 2, Feb. 2019.

Papers related to hardware system design technologies

Y. Wang, and K.-T. Cheng, "Task Mapping-Assisted Laser Power Scaling for Optical Network-on-Chips," 2019 International Conference on Computer Aided Design (ICCAD), Nov. 2019.

T. Lei, L. Shao, Y. Zheng, G. Pitner, G. Fang, C. Zhu, S. Li, R. Beausoleil, H. -S. P. Wong, T. -C. Huang, K. -T. Cheng, and Z. Bao, "Low-voltage High-performance Flexible Digital and Analog Circuits based on Ultrahigh-purity Semiconducting Carbon Nanotubes," Nature Communications, 2019.

T. -C. Huang, T. Lei, L. Shao, S. Sivapurapu, M. Swaminathan, Sicheng Li, Z. Bao, K. -T. Cheng, and R. Beausoleil, "Process Design Kit and Design Automation for Flexible Hybrid Electronics," in SID International Symposium, 2019. (invited paper)

L. Shao, S. Li, T. Lei, T. -C. Huang, R. Beausoleil, Z. Bao, and K. -T. Cheng, "Ultra-thin Skin Electronics for High Quality and Continuous Skin-Sensor-Silicon Interfacing," in 56th Design Automation Conference (DAC), 2019.

L. Shao, T. Lei, T. -C. Huang, S. Li, T. -Y. Chu, M. Wong, R. Beausoleil, Z. Bao, and K. -T. Cheng, "Compact Modeling of Thin Film Transistors for Flexible Hybrid IoT Design," IEEE Design & Test, Special Issue: Circuits and Systems for VLSI Internet-of-Things (IoT) Devices, vol. 36, no. 4, 2019.

N. Fern, and K. -T. Cheng, "Evaluating Assertion Set Completeness to Expose Hardware Trojans and Verification Blindspots," in Design, Automation and Test in Europe (DATE), 2019

Y. Wang, M. A. Seyedi, J. Hulme, M. Fiorentino, R. G. Beausoleil, and K. -T. Cheng, "Bidirectional Tuning of Microring-Based Silicon Photonic Transceivers for Optimal Energy Efficiency," in Asia and South Pacific Design Automation Conference (ASP-DAC), 2019.

T. -C. Huang, T. Lei, L. Shao, S. Sivapurapu, M. Swaminathan, S. Li, Z. Bao, K. -T. Cheng, and R. Beausoleil, "Process Design Kit and Design Automation for Flexible Hybrid Electronics," in Design, Automation and Test in Europe (DATE), 2019.

2018

Papers related to vision technologies and applications

X. Yang, H. C. Luo, Y. H. Wu, Y. Gao, C. Y. Liao, and K. -T. Cheng, "Reactive Obstacle Avoidance of Monocular Quadrotors with Online Adapted Depth Prediction Network," Neurocomputing, 2018

Z. Yan, X. Yang, and K. -T. Cheng, "A Three-stage Deep Learning Model for Accurate Retinal Vessel Segmentation," IEEE Journal of Biomedical and Health Informatics, 2018.

Z. Liu, B. Wu, W. Luo, X. Yang, W. Liu, and K. -T. Cheng, "Bi-real Net: Enhancing the Performance of 1-bit CNNs with Improved Representational Capability and Advanced Training Algorithm," in European Conference on Computer Vision (ECCV), 2018.

C. Huang, Z. Yang, Y. Kong, P. Cheng, X. Yang, and K. -T. Cheng, "Through-the-Lens Drone Filming," in IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2018.

X. Yang, J. Chen, Z. Wang, Q. Zhang, J. Guo, C. Liao, and K. -T. Cheng, "Monocular Camera Based Real-Time Dense Mapping Using Generative Adversarial Network," in ACM Multimedia, 2018.

Z. Wang, Y. Lin, K. -T. Cheng, and X. Yang, "StitchAD-GAN for Synthesizing Apparent Diffusion Coefficient Images of Clinically Significant Prostate Cancer," in British Machine Vision Conference (BMVC), 2018.

Z. Yan, X. Yang, and K. -T. Cheng, "A Deep Model with Shape-preserving Loss for Gland Instance Segmentation," in International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2018.

Z. Wang, X. Yang, and K. -T. Cheng, "Accurate Face Alignment and Adaptive Patch Selection for Heart Rate Estimation from Videos under Realistic Scenarios," PLOS ONE, 2018.

Z. Yan, X. Yang, and K. -T. Cheng, "Joint Segment-level and Pixel-wise Losses for Deep Learning based Retinal Vessel Segmentation", IEEE Transactions on Biomedical Engineering, 2018.

C. Huang, F. Gao, J. Pan, Z. Yang, W. Qiu, P. Chen, X. Yang, S. Shen, and K. -T. Cheng, "ACT: An Autonomous Drone Cinematography System for Action Scenes", in IEEE International Conference on Robotics and Automation (ICRA), 2018.

Z. Yan, X. Yang, and K. -T. Cheng, "A Skeletal Similarity Metric for Quality Evaluation of Retinal Vessel Segmentation", IEEE Transactions on Medical Imaging, vol. 37, no. 4, pp. 1045-1057, 2018.

Z. Wang, C. Liu, L. Wang, X. Yang, and K. -T. Cheng, "Automated Detection of Clinically Significant Prostate Cancer in mp-MRI Images based on an End-to-End Deep Neural Network", IEEE Trans. on Medical Imaging, 2018.

Papers related to hardware system design technologies

H. Zhu, Y. Pan, R. Huan, and K. -T. Cheng, "A Lightweight Piecewise Linear Synthesis Method for Standard 12-lead ECG Signals based on Adaptive Region Segmentation," PLOS ONE, 2018.

M. Angel Lastras-Montano, and K. -T. Cheng, "Resistive Random-access Memory based on Ratioed Memristors", Nature Electronics, 2018.

N. Fern, and K. -T. Cheng, "Pre-silicon Formal Verification of JTAG Instruction Opcodes for Security", in International Test Conference (ITC), 2018.

L. Shao, T. -Y. Chu, Y. Tao, and K. -T. Cheng, "Fully Printed Organic Pseudo-CMOS Circuits for Sensing Applications", in 1st IEEE International Flexible Electronics Technology Conference (IFETC), 2018.

R. Wu, M. A. Seyedi, Y. Wang, J. Hulme, M. Fiorentino, R. G. Beausoleil, and K. -T. Cheng, "Pairing of Microring-based Silicon Photonic Transceivers for Tuning Power Optimization", in 23rd Asia and South Pacific Design Automation Conference (ASP-DAC), 2018.

Y. Wang, M. A. Seyedi, R. Wu, J. Hulme, M. Fiorentino, R. G. Beausoleil, and K. -T. Cheng, "Energy-Efficient Channel Alignment of DWDM Silicon Photonic Transceivers", in Design, Automation and Test in Europe (DATE), 2018.

L. Shao, T. -C. Huang, T. Lei, Z. Bao, R. G. Beausoleil, and K. -T. Cheng, "Process Design Kit for Flexible Hybrid Electronics", in 23rd Asia and South Pacific Design Automation Conference (ASP-DAC), 2018.

L. Shao, T. -C. Huang, T. Lei, Z. Bao, R. G. Beausoleil, and K. -T. Cheng, "Compact Modeling of Carbon Nanotube Thin Film Transistors for Flexible Circuit Design", in Design, Automation and Test in Europe (DATE), 2018.

2017

Papers related to vision technologies and applications

X. Yang, C. Liu, Z. Wang, J. Yang, M. H. Le, L. Wang, and K. -T. Cheng, "Co-trained Convolutional Neural Networks for Automated Detection of Prostate Cancer in Multi-parametric MRI," Medical Image Analysis, 2017.

M. H. Le, J. Y. Chen, L. Wang, K. -T. Cheng, and X. Yang, "Automated Diagnosis of Prostate Cancer in Multi-parametric MRI based on Multimodal Convolutional Neural Networks", Physics in Medicine and Biology, 2017.

X. Yang, M. H. Le, C. Y. Liu, A. Chien, and K. -T. Cheng, "Automated Method for Accurate Vessel Segmentation", Physics in Medicine and Biology, 2017.

X. Yang, J. Guo, T. Xue and K. -T. Cheng, "Robust and Real-time Pose Tracking for Augmented Reality on Mobile Devices", Multimedia Tools and Applications, 2017.

X. Yang, T. Xue, H. Luo, and K. -T. Cheng, "Fast and Accurate Visual Odometry from a Monocular Camera", Frontiers in Computer Science, 2017. (in press)

X. Yang, Z. Wang, C. Liu, M. H. Le, J. Chen, K. -T. Cheng, and L. Wang, "Joint Detection and Diagnosis of Prostate Cancer in Multi-parametric MRI Based on Multimodal Convolutional Neural Networks," in MICCAI, 2017.

T. Xue, H. Luo, Z. Yuan, X. Yang, "Real-time Monocular Dense Mapping for Augmented Reality", in ACM Multimedia 2017. (Oral, acceptance rate: 7.5%)

Z. Wang, C. Liu, X. Bai and X. Yang, "DeepCADx: Automated Prostate Cancer Detection and Diagnosis in mp-MRI based on Multimodal Convolutional Neural Networks", in ACM Multimedia (Demo), 2017.

H. Luo, T. Xue, X. Yang, "Real-Time Dense Monocular SLAM for Augmented Reality", in ACM Multimedia (Demo), 2017.

C. Huang, P. Chen, X. Yang, and K. -T. Cheng, "REDBEE: A Visual-Inertial Drone System for Real-Time Moving Object Detection," in IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2017

Papers related to hardware system design technologies

T. Lei, M. Guan, J. Liu, H. -C. Lin, R. Pfattner, L. Shaw, A. F. McGuire, T. -C. Huang, L. Shao, K. -T. Cheng, J. B. -H. Tok, and Z. Bao, "Biocompatible and Totally Disintegrable Semiconducting Polymer for Ultrathin and Ultralightweight Transient Electronics", in Proceedings of the National Academy of Sciences, vol. 114, no. 20, 2017.

Z. Zhang, R. Wu, Y. Wang, C. Zhang, E. J. Stanton, C. L. Schow, K. -T. Cheng, and J. E. Bowers, "Compact Modeling for Silicon Photonic Heterogeneously Integrated Circuits", Journal of Lightwave Technology (JLT), 2017.

B. Chakrabarti, M. Angel Lastras-Montano, G. Adam, M. Prezioso, B. Hoskins, K. -T. Cheng, and D. B. Strukov, "A Multiply-Add Engine with Monolithically Integrated 3D Memristor Crossbar/CMOS Hybrid Circuit", Nature Scientific Reports, 2017.

M. Angel Lastras-Montano, B. Chakrabarti, D. B. Strukov, and K. -T. Cheng, "3D-DPE: A 3D High-Bandwidth Dot-Product Engine for High-Performance Neuromorphic Computing", in Design, Automation and Test in Europe (DATE), 2017.

F. Lin and K. -T. Cheng, "An Artificial Neural Network Approach for Screening Test Escapes", in Asia and South Pacific Design Automation Conference (ASP-DAC), 2017.

R. Wu, Y. Wang, Z. Zhang, C. Zhang, C. Schow, J. E. Bowers, and K. -T. Cheng, "Compact Modeling and Circuit-Level Simulation of Silicon Nanophotonic Interconnects", in Design, Automation and Test in Europe (DATE), 2017.

N. Fern, I. San, and K. -T. Cheng, "Detecting Hardware Trojans in Unspecified Functionality Through Solving Satisfiability Problems", in Asia and South Pacific Design Automation Conference (ASP-DAC), 2017.

F. Lan, R. Wu, C. Zhang, Y. Pan, and K. -T. Cheng, "DLPS: Dynamic Laser Power Scaling for Optical Network-on-Chip", in Asia and South Pacific Design Automation Conference (ASP-DAC), 2017.

N. Fern and K. -T. Cheng, "Mining Mutation Testing Simulation Traces for Security and Testbench Debugging", in International Conference on Computer-Aided Design (ICCAD), 2017.

T. -C. Huang, L. Shao, T. Lei, R. G. Beausoleil, Z. Bao, and K. -T. Cheng, "Robust Design and Design Automation for Flexible Hybrid Electronics", in International Symposium on Circuits and Systems (ISCAS), 2017.

N. Fern and K. -T. Cheng, "Verification and Trust for Unspecified IP Functionality", Hardware IP Security and Trust, Springer, 2017.

2016

Papers related to vision technologies and applications

X. Yang, X. Wang, and K. -T. Cheng, "OGB: A Distinctive and Efficient Feature for Mobile Augmented Reality,", in Multimedia Modeling, 2016.

C. Huang, Q. Liu, Y. -Y. Chen, and K. -T. Cheng, "Local Feature Descriptor Learning with Adaptive Siamese Network," in Local Features: State of the art, open problems and performance evaluation (In conjunction with ECCV), 2016.

C. Huang, X. Yang, and K. -T. Cheng, "Accurate and Efficient Pulse Measurement from Facial Videos on Smartphones," in IEEE Winter Conference on Applications of Computer Vision (WACV), 2016.

X. Yang, M. H. Le, and K. -T. Cheng, K. H. Sung, and W. Liu, "Renal compartment segmentation in DCE-MRI images," Medical Image Analysis, 2016.

Papers related to hardware system design technologies

A. Ghofrani, A. Rahimi, M. Angel Lastras-Montano, L. Benini, R. K. Gupta, and K. -T. Cheng, "Associative Memristive Memory for Approximate Computing in GPUs", IEEE Journal on Emerging and Selected Topics in Circuits and Systems (JETCAS), 2016.

N. Fern, I. San, C. Kaya Koc, and K. -T. Cheng, "Hiding Hardware Trojan Communication Channels in Partially Specified SoC Bus Functionality", IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), 2016.

A. M. Seyedi, R. Wu, C. -H. Chen, M. Fiorentino, and R. G. Beausoleil, "15 Gb/s Transmission with Wide-FSR Carrier Injection Ring Modulator for Tb/s Optical Links", in Conference on Lasers and Electro-Optics (CLEO), 2016.

N. Fern, I. San, C. Kaya Koc, and K. -T. Cheng, "Hardware Trojans in Incompletely Specified On-chip Bus Systems", in Design, Automation, Test in Europe (DATE), 2016.

A. Ghofrani, M. Angel Lastras-Montano, Y. Wang, and K. -T. Cheng, "In-place Repair for Resistive Memories Utilizing Complementary Resistive Switches", in International Symposium on Low Power Electronics and Design (ISLPED). ACM, 2016.

R. Wu, C. -H. Chen, M. A. Seyedi, T. -C. Huang, M. Fiorentino, R. G. Beausoleil, and K. -T. Cheng, "Large-Signal Model for Small-Size High-Speed Carrier-Injection Silicon Microring Modulator", in OSA Integrated Photonics Research, Silicon, and Nano-Photonics Conference (IPR), 2016.

M. Angel Lastras-Montano, A. Ghofrani, and K. -T. Cheng, "A Low-Power Hybrid Reconfigurable Architecture for Resistive Random-Access Memories", in International Symposium on High-Performance Computer Architecture (HPCA), 2016.

R. Wu, C. -H. Chen, T. -C. Huang, R. G. Beausoleil, and K. -T. Cheng, "Spatial Pattern Analysis of Process Variations in Silicon Microring Modulators", in IEEE Optical Interconnect Conference, 2016.

I. San, N. Fern, C. Kaya Koc, and K. -T. Cheng, "Trojans Modifying Soft-Processor Instruction Sequences Embedded in FPGA Bitstreams", in Proceedings of the 26th International Conference on Field-Programmable Logic and Applications (FPL), 2016.

C. -K. Hsu, P. Sarson, F. Leisenberger, G. Schatzberger, J. Carulli, S. Siddhartha, and K. -T. Cheng, "Variation and Failure Characterization Through Pattern Classification of Test Data From Multiple Test Stages", in IEEE International Test Conference (ITC), 2016.

Y. Zhong, Y. Pan, L. Zhang, and K. -T. Cheng, "A Wearable Signal Acquisition System for Physiological Signs Including Throat PPG", in The 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2016.

2015

Papers related to vision technologies and applications

X. Yang, X. Wang, and K. -T. Cheng, "OGB: A Distinctive and Efficient Feature for Mobile Augmented Reality", in International Conference on Multimedia Modeling (MMM), 2015.

X. Yang, X. Si, T. Xue, and K. -T. Cheng, "Fusion of Vision and Inertial Sensing for Accurate and Efficient Pose Tracking on Smartphones", in International Symposium on Mixed and Augmented Reality (ISMAR), 2015.

X. Yang, X. Si, T. Xue, L. Zhang, and K. -T. Cheng, "Vision-Inertial Hybrid Tracking for Robust and Efficient Augmented Reality on Smartphones", in ACM Multimedia, 2015.

X. Yang, M. H. Le, K. -T. Cheng, and K. Sung, "Automatic Renal Compartment Segmentation in DCE-MRI Images", in International Conference on Medical Imaging and Computer Assisted Interventions (MICCAI), 2015.

Q. Yu, X. Yang, K. -T. Cheng, F. Liang, A. Chien, "Measurement of Intracranial Aneurysm Growth", Stroke, 2015.

Papers related to hardware system design technologies

R. Wu, C. -H. Chen, T. -C. Huang, K. -T. Cheng and R. G. Beausoleil, "20 Gb/s Carrier-Injection Silicon Microring Modulator with SPICE-Compatible Dynamic Model", in Photonics in Switching Conference (PS), 2015.

F. Lin, C. -K. Hsu and K. -T. Cheng, "AdaTest: An Efficient Statistical Test Framework for Test Escape Screening", in International Test Conference (ITC), 2015.

A. Rahimi, A. Ghofrani, K. -T. Cheng, L. Benini, and R. K. Gupta, "Approximate Associative Memristive Memory for Energy-Efficient GPUs", in Design, Automation Test in Europe Conference Exhibition (DATE), 2015.

M. Angel Lastras-Montano, A. Ghofrani and K. -T. Cheng, "Architecting Energy Efficient Crossbar-based Memristive Random Access Memories", in ACM/IEEE Internation Symposium on Nano-scale Architectures (NANOARCH), 2015.

S. Feng, K. Shang, J. Bovington, R. Wu, B. Guan, K. -T. Cheng, J. E. Bowers, and S. J. Ben Yoo, "Athermal Silicon Ring Resonators Clad with Titanium Dioxide for 1.3µm Wavelength Operation", Optics Express, 2015.

R. Wu, C. -H. Chen, J. -M. Fedeli, M. Fournier, R. G. Beausoleil, and K. -T. Cheng, "Compact Modeling and System Implications of Microring Modulators in Nanophotonic Interconnects", in International Workshop on System-Level Interconnect Prediction (SLIP), 2015.

R. Wu, C. -H. Chen, J. -M. Fedeli, M. Fournier, K. -T. Cheng, and R. G. Beausoleil, "Compact Models for Carrier-injection Silicon Microring Modulators", Optics Express, 2015.

M. Payvand, A. Madhavan, M. Angel Lastras-Montano, A. Ghofrani, J. Rofeh, K. -T. Cheng, D. Strukov, and L. Theogarajan, "A Configurable CMOS Memory Platform for 3D Integrated Memristors", in International Symposium on Circuits and Systems, 2015.

T. -C. Huang, J. -L. Huang, and K. -T. Cheng, "Design, Automation, and Test for Low-Power and Reliable Flexible Electronics", Foundations and Trends in Electronic Design Automation, 2015.

N. Fern and K. -T. Cheng, "Detecting Hardware Trojans in Unspecified Functionality Using Mutation Testing", in International Conference on Computer Aided Design (ICCAD), 2015.

T. -C. Huang, C. Li, R. Wu, C. -H. Chen, M. Fiorentino, K. -T. Cheng, S. Palermo, and R. G. Beausoleil, "DWDM Nanophotonic Interconnects: Toward Terabit/s Chip-Scale Serial Link", in International Midwest Symposium on Circuits and Systems (MWSCAS), 2015.

N. Lesperance, S. Kulkarni, and K. -T. Cheng, "Hardware Trojan Detection Using Exhaustive Testing of k-bit Subspaces", in Asia and South Pacific Design Automation Conference (ASP-DAC), 2015.

N. Fern, S. Kulkarni, and K. -T. Cheng, "Hardware Trojans Hidden in RTL Don’t Cares – Automated Insertion and Prevention Methodologies", in International Test Conference (ITC), 2015.

M. Angel Lastras-Montano, A. Ghofrani, and K. -T. Cheng, "HReRAM: A Hybrid Reconfigurable Resistive Random-Access Memory", in Design, Automation, and Test in Europe (DATE), 2015.

A. Ghofrani, M. Angel Lastras-Montano, S. Gaba, M. Payand, W. Lu, L. Theogarajan, and K. -T. Cheng, "A low-Power Variation-Aware Adaptive Write Scheme for Access-Transistor-Free Memristive Memory", ACM Journal on Emerging Technologies in Computing Systems (JETC), 2015.

F. Lin, C. -K. Hsu, A. Giovanni Busetto, and K. -T. Cheng, "Pairwise Proximity-Based Features for Test Escape Screening", in International Conference on Computer-Aided Design (ICCAD), 2015.

A. Ghofrani, M. Angel Lastras-Montano, and K. -T. Cheng, "Toward Large-Scale Access-Transistor-Free Memristive Crossbars", in 20th Asia and South Pacific Design Automation Conference (ASP-DAC), 2015.

R. Wu, C. -H. Chen, C. Li, T. -C. Huang, F. Lan, C. Zhang, Y. Pan, J. E. Bowers, R. G. Beausoleil, and K. -T. Cheng, "Variation-Aware Adaptive Tuning for Nanophotonic Interconnects", in International Conference on Computer-Aided Design (ICCAD), 2015.

J. Rofeh, A. Sodhi, M. Payvand, M. Angel Lastras-Montano, A. Ghofrani, A. Madhavan, S. Yemenicioglu, K. -T. Cheng, and L. Theogarajan, "Vertical Integration of Memristors onto Foundry CMOS Dies using Wafer-Scale Integration", in IEEE Electronic Components and Technology Conference (ECTC), 2015.