Ken Chang - RankMe

112 papers A* 1B 3Journal 53Unranked 55

Year	Rank	Type	Title / Venue / Authors
2026	—	`conf`	23.2 A 2-Channel 800Gb/s Transceiver for Coherent-Lite Applications with <300ns Latency in 5nm FinFET. ISSCC Marco Sosio, Claudio Nani, Enrico Monaco, Nicola Ghittori, Domenico Albano, Alessio Di Pasquo, Alessandro Bosi, Travis Lovitt, Gabriele Gira, Fulvio Martinelli, Victor Karam, Devrishi Khanna, Mehdi N. Khiarak, Sasan Cyrusian, Mehdi Davoodi, Marco Garampazzi, Nimesh N. Miral, Fabio Giunco, Ivan Fabiano, Nicola Codega, Claudio Asero, Leonardo Daniel Herbas Burgos, Enrico Temporiti, Shawn Scouten, Kishore Kota, Yang Fu, Ruibin Jin, Josef Mueller, Michael Leung, Arash Farhoodfar, Stephen Jantzi, Ken Chang
2026	J	`jnl`	GazeXPErT: An Expert Eye-tracking Dataset for Interpretable and Explainable AI in Oncologic FDG-PET/CT Scans. CoRR Joy T. Wu, Daniel Beckmann, Sarah Miller, Alexander Lee, Elizabeth Theng, Stephan Altmayer, Ken Chang, David Kersting, Tomoaki Otani, Brittany Z. Dashevsky, Hye Lim Park, Matteo Novello, Kip Guja, Curtis Langlotz, Ismini Lourentzou, Daniel Gruhl, Benjamin Risse, Guido A. Davidzon
2025	—	`conf`	A 0.29pJ/b 5.27Tb/s/mm UCIe Advanced Package Link in 3nm FinFET with 2.5D CoWoS Packaging. ISSCC Didem Turker Melek, R. Navinkumar, James Vandersand, Pyare Sarkar, BS Prakash, Adrian Leuciuc, Kevin Geary, Shaojun Ma, Chirag Mukesh Mehta, Shashi Jain, Basant Bothra, Pawan Sabharwal, Ranjan Vaish, Kirti Bhanushali, Yutong Ding, Craig Frost, John Annunziata, Krishanu Sadhu, Dimitris Kyritsis, Jeff Bostak, Ming Li, Steve Williams, Ken Chang
2025	J	`jnl`	A 32 Gb/s 0.36 pJ/bit 3 nm Chiplet IO Using 2.5-D CoWoS Package With Real-Time and Per-Lane CDR and Bathtub Monitoring. IEEE J. Solid State Circuits Junhui Gu, John Ma, Azhar Ahmed Chowdhury, Jianmin Guo, Xin Zhang, Jackson Ding, Hui Wang, Ken Chang
2025	J	`jnl`	SMMILE: An Expert-Driven Benchmark for Multimodal Medical In-Context Learning. CoRR Melanie Rieff, Maya Varma, Ossian Rabow, Subathra Adithan, Julie Kim, Ken Chang, Hannah Lee, Nidhi Rohatgi, Christian Bluethgen, Mohamed S. Muneer, Jean-Benoit Delbrouck, Michael Moor
2024	—	`conf`	A 0.9pj/b 9.8-113Gb/s XSR SerDes with 6-tap TX FFE and AC coupling RX in 3nm FinFet Technology. VLSI Technology and Circuits A. Chowdhury, J. Ma, Y. Li, J. Guo, X. Zhang, P. Ramakrishna, J. Gu, Y. Wang, L. Liang, U. Shukla, K. Mohammad, H. Yan, Y. Sun, M. Lin, Z. Jiang, F. Khan, M. Yeoh, C. Su, J. Ding, Matthew Baecher, S. Parker, H. Wang, M. Seymour, Michael Wielgos, Ken Chang
2024	—	`conf`	A 32Gb/s 0.36pJ/bit 3nm Chiplet IO Using 2.5D CoWoS Package with Real-Time and Per-Lane CDR and Bathtub Monitoring. VLSI Technology and Circuits J. Gu, J. Ma, J. Guo, F. Guo, D. Liang, Y. Li, C. Shen, P. Gao, X. Zhang, J. Ding, Michael Sorna, H. Wang, C. Cui, J. Troupe, P. Metty, Ken Chang
2024	—	`conf`	Addressing Catastrophic Forgetting by Modulating Global Batch Normalization Statistics for Medical Domain Expansion. AIPAD/PILM@MICCAI Sharut Gupta, Ken Chang, Liangqiong Qu, Aakanksha Rana, Syed Rakin Ahmed, Mehak Aggarwal, Nishanth Thumbavanam Arun, Ashwin Vaswani, Shruti Raghavan, Vibha Agarwal, Mishka Gidwani, Katharina Hoebel, Jay B. Patel, Charles Lu, Christopher P. Bridge, Daniel L. Rubin, Jayashree Kalpathy-Cramer, Praveer Singh
2024	—	`conf`	Cycle-GANs Generated Difference Maps to Interpret Race Prediction from Medical Images. FAIMI/EPIMI@MICCAI Lakshika Rathi, Giacomo Nebbia, Ken Chang, Sourav Kumar, Aarushi Gupta, Syed Rakin Ahmed, Jay B. Patel, Christopher Clark, Yoga Advaith Veturi, Aaron S. Coyner, Aakanksha Rana, Christopher P. Bridge, Stephen McNamara, J. Peter Campbell, Matthew D. Li, Jayashree Kalpathy-Cramer, Praveer Singh
2024	J	`jnl`	Fair Evaluation of Federated Learning Algorithms for Automated Breast Density Classification: The Results of the 2022 ACR-NCI-NVIDIA Federated Learning Challenge. CoRR Kendall Schmidt, Ben Bearce, Ken Chang, Laura Coombs, Keyvan Farahani, Marawan Elbatel, Kaouther Mouheb, Robert Marti, Ruipeng Zhang, Yao Zhang, Yanfeng Wang, Yaojun Hu, Haochao Ying, Yuyang Xu, Conrad Testagrose, Mutlu Demirer, Vikash Gupta, Ünal Akünal, Markus Bujotzek, Klaus H. Maier-Hein, Yi Qin, Xiaomeng Li, Jayashree Kalpathy-Cramer, Holger R. Roth
2024	J	`jnl`	Fair evaluation of federated learning algorithms for automated breast density classification: The results of the 2022 ACR-NCI-NVIDIA federated learning challenge. Medical Image Anal. Kendall Schmidt, Benjamin Bearce, Ken Chang, Laura Coombs, Keyvan Farahani, Marawan Elbatel, Kaouther Mouheb, Robert Marti, Ruipeng Zhang, Ya Zhang, Yanfeng Wang, Yaojun Hu, Haochao Ying, Yuyang Xu, Conrad Testagrose, Mutlu Demirer, Vikash Gupta, Ünal Akünal, Markus Bujotzek, Klaus H. Maier-Hein, Yi Qin, Xiaomeng Li, Jayashree Kalpathy-Cramer, Holger R. Roth
2024	—	`conf`	IMIL: Interactive Medical Image Learning Framework. CVPR Workshops Adrit Rao, Andrea Fisher, Ken Chang, John Christopher Panagides, Katherine McNamara, Joon-Young Lee, Oliver O. Aalami
2024	J	`jnl`	Privacy preservation for federated learning in health care. Patterns Sarthak Pati, Sourav Kumar, Amokh Varma, Brandon Edwards, Charles Lu, Liangqiong Qu, Justin J. Wang, Anantharaman Lakshminarayanan, Shih-han Wang, Micah J. Sheller, Ken Chang, Praveer Singh, Daniel L. Rubin, Jayashree Kalpathy-Cramer, Spyridon Bakas
2024	J	`jnl`	The 2024 Brain Tumor Segmentation (BraTS) Challenge: Glioma Segmentation on Post-treatment MRI. CoRR Maria Correia de Verdier, Rachit Saluja, Louis Gagnon, Dominic LaBella, Ujjwal Baid, Nourel Hoda Tahon, Martha Foltyn-Dumitru, Jikai Zhang, Maram Alafif, Saif Baig, Ken Chang, Gennaro D'Anna, Lisa Deptula, Diviya Gupta, Muhammad Ammar Haider, Ali Hussain, Michael Iv, Marinos Kontzialis, Paul Manning, Farzan Moodi, Teresa Nunes, Aaron Simon, Nico Sollmann, David Vu, Maruf Adewole, Jake Albrecht, Udunna Anazodo, Rongrong Chai, Verena Chung, Shahriar Faghani, Keyvan Farahani, Anahita Fathi Kazerooni, Juan Eugenio Iglesias, Florian Kofler, Hongwei Li, Marius George Linguraru, Bjoern H. Menze, Ahmed W. Moawad, Yury Velichko, Benedikt Wiestler, Talissa Altes, Patil Basavasagar, Martin Bendszus, Gianluca Brugnara, Jaeyoung Cho, Yaseen Dhemesh, Brandon K. K. Fields, Filip Garrett, Jaime Gass, Lubomir M. Hadjiiski, Jona A. Hattangadi-Gluth, Christopher Hess, Jessica L. Houk, Edvin Isufi, Lester J. Layfield, George Mastorakos, John Mongan, Pierre Nedelec, Uyen Nguyen, Sebastian Oliva, Matthew W. Pease, Aditya Rastogi, Jason Sinclair, Robert X. Smith, Leo P. Sugrue, Jonathan Thacker, Igor Vidic, Javier E. Villanueva-Meyer, Nathan S. White, Mariam Aboian, Gian Marco Conte, Anders M. Dale, Mert R. Sabuncu, Tyler M. Seibert, Brent Weinberg, Aly H. Abayazeed, Raymond Y. Huang, Sevcan Turk, Andreas M. Rauschecker, Nikdokht Farid, Philipp Vollmuth, Ayman Nada, Spyridon Bakas, Evan Calabrese, Jeffrey D. Rudie
2023	—	`conf`	A Deep Learning Based Framework for Joint Image Registration and Segmentation of Brain Metastases on Magnetic Resonance Imaging. MLHC Jay B. Patel, Syed Rakin Ahmed, Ken Chang, Praveer Singh, Mishka Gidwani, Katharina Hoebel, Albert E. Kim, Christopher P. Bridge, Chung-Jen Teng, Xiaomei Li, Gongwen Xu, Megan McDonald, Ayal Aizer, Wenya Linda Bi, K. Ina Ly, Bruce Rosen, Priscilla K. Brastianos, Raymond Y. Huang, Elizabeth R. Gerstner, Jayashree Kalpathy-Cramer
2023	J	`jnl`	FDU-Net: Deep Learning-Based Three-Dimensional Diffuse Optical Image Reconstruction. IEEE Trans. Medical Imaging Bin Deng, Hanxue Gu, Hongmin Zhu, Ken Chang, Katharina Viktoria Hoebel, Jay B. Patel, Jayashree Kalpathy-Cramer, Stefan A. Carp
2022	J	`jnl`	An automated COVID-19 triage pipeline using artificial intelligence based on chest radiographs and clinical data. npj Digit. Medicine Chris K. Kim, Ji Whae Choi, Zhicheng Jiao, Dongcui Wang, Jing Wu, Thomas Y. Yi, Kasey C. Halsey, Feyisope Eweje, Thi My Linh Tran, Chang Liu, Robin Wang, John Sollee, Celina Hsieh, Ken Chang, Fang-Xue Yang, Ritambhara Singh, Jie-Lin Ou, Raymond Y. Huang, Cai Feng, Michael D. Feldman, Tao Liu, Ji Sheng Gong, Shaolei Lu, Carsten Eickhoff, Xue Feng, Ihab Kamel, Ronnie Sebro, Michael Atalay, Terrance Healey, Yong Fan, Wei-hua Liao, Jianxin Wang, Harrison X. Bai
2022	J	`jnl`	Decreasing Annotation Burden of Pairwise Comparisons with Human-in-the-Loop Sorting: Application in Medical Image Artifact Rating. CoRR Ikbeom Jang, Garrison Danley, Ken Chang, Jayashree Kalpathy-Cramer
2022	B	`conf`	Do I know this? segmentation uncertainty under domain shift. Image Processing Katharina Hoebel, Christopher P. Bridge, Andréanne Lemay, Ken Chang, Jay B. Patel, Bruce Rosen, Jayashree Kalpathy-Cramer
2022	A*	`conf`	Fair Conformal Predictors for Applications in Medical Imaging. AAAI Charles Lu, Andréanne Lemay, Ken Chang, Katharina Höbel, Jayashree Kalpathy-Cramer
2022	J	`jnl`	Federated Learning Enables Big Data for Rare Cancer Boundary Detection. CoRR Sarthak Pati, Ujjwal Baid, Brandon Edwards, Micah J. Sheller, Hans Shih-Han Wang, G. Anthony Reina, Patrick Foley, Alexey Gruzdev, Deepthi Karkada, Christos Davatzikos, Chiharu Sako, Satyam Ghodasara, Michel Bilello, Suyash Mohan, Philipp Vollmuth, Gianluca Brugnara, Chandrakanth J. Preetha, Felix Sahm, Klaus H. Maier-Hein, Maximilian Zenk, Martin Bendszus, Wolfgang Wick, Evan Calabrese, Jeffrey D. Rudie, Javier E. Villanueva-Meyer, Soonmee Cha, Madhura Ingalhalikar, Manali Jadhav, Umang Pandey, Jitender Saini, John Garrett, Matthew E. Larson, Robert Jeraj, Stuart Currie, Russell Frood, Kavi Fatania, Raymond Y. Huang, Ken Chang, Carmen Balaña Quintero, Jaume Capellades, Josep Puig, Johannes Trenkler, Josef Pichler, Georg Necker, Andreas Haunschmidt, Stephan Meckel, Gaurav Shukla, Spencer Liem, Gregory S. Alexander, et al.
2022	J	`jnl`	How Machine Learning is Powering Neuroimaging to Improve Brain Health. Neuroinformatics Nalini M. Singh, Jordan B. Harrod, Sandya Subramanian, Mitchell B. Robinson, Ken Chang, Suheyla Cetin Karayumak, Adrian Vasile Dalca, Simon B. Eickhoff, Michael Fox, Loraine Franke, Polina Golland, Daniel Haehn, Juan Eugenio Iglesias, Lauren J. O'Donnell, Yangming Ou, Yogesh Rathi, Shan H. Siddiqi, Haoqi Sun, M. Brandon Westover, Susan L. Whitfield-Gabrieli, Randy L. Gollub
2022	—	`conf`	Is this good enough? On expert perception of brain tumor segmentation quality. Image Perception, Observer Performance, and Technology Assessment Katharina Hoebel, Christopher P. Bridge, Sara Ahmed, Oluwatosin Akintola, Caroline Chung, Raymond Y. Huang, Jason Johnson, Albert E. Kim, K. Ina Ly, Ken Chang, Jay B. Patel, Marco Pinho, Tracy Batchelor, Bruce R. Rosen, Elizabeth R. Gerstner, Jayashree Kalpathy-Cramer
2022	J	`jnl`	Three Applications of Conformal Prediction for Rating Breast Density in Mammography. CoRR Charles Lu, Ken Chang, Praveer Singh, Jayashree Kalpathy-Cramer
2022	—	`conf`	Towards More Efficient Data Valuation in Healthcare Federated Learning Using Ensembling. DeCaF/FAIR@MICCAI Sourav Kumar, Anantharaman Lakshminarayanan, Ken Chang, Feri Guretno, Ivan Ho Mien, Jayashree Kalpathy-Cramer, Pavitra Krishnaswamy, Praveer Singh
2022	J	`jnl`	Towards More Efficient Data Valuation in Healthcare Federated Learning using Ensembling. CoRR Sourav Kumar, Anantharaman Lakshminarayanan, Ken Chang, Feri Guretno, Ivan Ho Mien, Jayashree Kalpathy-Cramer, Pavitra Krishnaswamy, Praveer Singh
2021	J	`jnl`	A 112-Gb/s PAM-4 Long-Reach Wireline Transceiver Using a 36-Way Time-Interleaved SAR ADC and Inverter-Based RX Analog Front-End in 7-nm FinFET. IEEE J. Solid State Circuits Jay Im, Kevin Zheng, Chuen-Huei Adam Chou, Lei Zhou, Jae Wook Kim, Stanley Chen, Yipeng Wang, Hao-Wei Hung, Kee Hian Tan, Winson Lin, Arianne Roldan, Declan Carey, Ilias Chlis, Ronan Casey, Ade Bekele, Ying Cao, David Mahashin, Hong Ahn, Hongtao Zhang, Yohan Frans, Ken Chang
2021	J	`jnl`	Addressing catastrophic forgetting for medical domain expansion. CoRR Sharut Gupta, Praveer Singh, Ken Chang, Liangqiong Qu, Mehak Aggarwal, Nishanth Thumbavanam Arun, Ashwin Vaswani, Shruti Raghavan, Vibha Agarwal, Mishka Gidwani, Katharina Hoebel, Jay B. Patel, Charles Lu, Christopher P. Bridge, Daniel L. Rubin, Jayashree Kalpathy-Cramer
2021	—	`conf`	An Error-free 1 Tbps WDM Optical I/O Chiplet and Multi-wavelength Multi-port Laser. OFC Mark T. Wade, Erik Anderson, Shahab Ardalan, Woorham Bae, Behrooz Beheshtian, Sidney Buchbinder, Ken Chang, Paulo Chao, Haritha Eachempatti, John Frey, Eric Jan, Austin Katzin, Anatoly Khilo, Derek Kita, Uma Krishnamoorthy, Chen Li, Haiwei Lu, Fernando Luna, Christopher Madden, Lynne Okada, Mukundrai Patel, Chandru Ramamurthy, Manan Raval, Radek Roucka, Kit Robberson, Michael Rust, Derek Van Orden, Ron Zeng, Mason Zhang, Vladimir Stojanovic, Forrest Sedgwick, Roy Meade, Norman Chan, John Michael Fini, Byungchae Kim, Songtao Liu, Chong Zhang, Daniel Jeong, Pavan Bhargava, Matt Sysak, Chen Sun
2021	J	`jnl`	DeepNeuro: an open-source deep learning toolbox for neuroimaging. Neuroinformatics Andrew Beers, James M. Brown, Ken Chang, Katharina Hoebel, Jay B. Patel, K. Ina Ly, Sara M. Tolaney, Priscilla K. Brastianos, Bruce R. Rosen, Elizabeth R. Gerstner, Jayashree Kalpathy-Cramer
2021	J	`jnl`	Deploying clinical machine learning? Consider the following... CoRR Charles Lu, Ken Chang, Praveer Singh, Stuart R. Pomerantz, Sean Doyle, Sujay Kakarmath, Christopher P. Bridge, Jayashree Kalpathy-Cramer
2021	J	`jnl`	Fair Conformal Predictors for Applications in Medical Imaging. CoRR Charles Lu, Andréanne Lemay, Ken Chang, Katharina Hoebel, Jayashree Kalpathy-Cramer
2021	—	`conf`	Opportunities and Challenges for Deep Learning in Brain Lesions. BrainLes@MICCAI (1) Jay B. Patel, Ken Chang, Syed Rakin Ahmed, Ikbeom Jang, Jayashree Kalpathy-Cramer
2021	J	`jnl`	QU-BraTS: MICCAI BraTS 2020 Challenge on Quantifying Uncertainty in Brain Tumor Segmentation - Analysis of Ranking Metrics and Benchmarking Results. CoRR Raghav Mehta, Angelos Filos, Ujjwal Baid, Chiharu Sako, Richard McKinley, Michael Rebsamen, Katrin Dätwyler, Raphael Meier, Piotr Radojewski, Gowtham Krishnan Murugesan, Sahil S. Nalawade, Chandan Ganesh, Benjamin C. Wagner, Fang F. Yu, Baowei Fei, Ananth J. Madhuranthakam, Joseph A. Maldjian, Laura Alexandra Daza, Catalina Gómez Caballero, Pablo Arbeláez, Chengliang Dai, Shuo Wang, Hadrien Raynaud, Yuanhan Mo, Elsa D. Angelini, Yike Guo, Wenjia Bai, Subhashis Banerjee, Linmin Pei, Murat Ak, Sarahi Rosas-González, Ilyess Zemmoura, Clovis Tauber, Minh H. Vu, Tufve Nyholm, Tommy Löfstedt, Laura Mora Ballestar, Verónica Vilaplana, Hugh McHugh, Gonzalo D. Maso Talou, Alan Wang, Jay B. Patel, Ken Chang, Katharina Hoebel, Mishka Gidwani, Nishanth Thumbavanam Arun, Sharut Gupta, Mehak Aggarwal, Praveer Singh, Elizabeth R. Gerstner, Jayashree Kalpathy-Cramer, Nicolas Boutry, Alexis Huard, Lasitha Vidyaratne, Md Monibor Rahman, Khan M. Iftekharuddin, Joseph Chazalon, Élodie Puybareau, Guillaume Tochon, Jun Ma, Mariano Cabezas, Xavier Lladó, Arnau Oliver, Liliana Valencia, Sergi Valverde, Mehdi Amian, Mohammadreza Soltaninejad, Andriy Myronenko, Ali Hatamizadeh, Xue Feng, Quan Dou, Nicholas J. Tustison, Craig H. Meyer, Nisarg A. Shah, Sanjay N. Talbar, Marc-André Weber, Abhishek Mahajan, András Jakab, Roland Wiest, Hassan M. Fathallah-Shaykh, Arash Nazeri, Mikhail Milchenko, Daniel S. Marcus, Aikaterini Kotrotsou, Rivka Colen, John B. Freymann, Justin S. Kirby, Christos Davatzikos, Bjoern H. Menze, Spyridon Bakas, Yarin Gal, Tal Arbel
2020	—	`conf`	50Gb/s Hybrid Integrated Si-Photonic Optical Link in 16nm FinFET. ECOC Mayank Raj, Yohan Frans, Ping-Chuan Chiang, Sai Lalith Chaitanya Ambatipudi, David Mahashin, Peter De Heyn, Sadhishkumar Balakrishnan, Joris Van Campenhout, Jimmy Grayson, Marc Epitaux, Ken Chang
2020	—	`conf`	6.1 A 112Gb/s PAM-4 Long-Reach Wireline Transceiver Using a 36-Way Time-Interleaved SAR-ADC and Inverter-Based RX Analog Front-End in 7nm FinFET. ISSCC Jay Im, Kevin Zheng, Adam Chou, Lei Zhou, Jae Wook Kim, Stanley Chen, Yipeng Wang, Hao-Wei Hung, Kee Hian Tan, Winson Lin, Arianne Roldan, Declan Carey, Ilias Chlis, Ronan Casey, Ade Bekele, Ying Cao, David Mahashin, Hong Ahn, Hongtao Zhang, Yohan Frans, Ken Chang
2020	J	`jnl`	Accounting for data variability in multi-institutional distributed deep learning for medical imaging. J. Am. Medical Informatics Assoc. Niranjan Balachandar, Ken Chang, Jayashree Kalpathy-Cramer, Daniel L. Rubin
2020	B	`conf`	An exploration of uncertainty information for segmentation quality assessment. Image Processing Katharina Hoebel, Vincent Andrearczyk, Andrew Beers, Jay B. Patel, Ken Chang, Adrien Depeursinge, Henning Müller, Jayashree Kalpathy-Cramer
2020	J	`jnl`	Assessing the (Un)Trustworthiness of Saliency Maps for Localizing Abnormalities in Medical Imaging. CoRR Nishanth Thumbavanam Arun, Nathan Gaw, Praveer Singh, Ken Chang, Mehak Aggarwal, Bryan Chen, Katharina Hoebel, Sharut Gupta, Jay B. Patel, Mishka Gidwani, Julius Adebayo, Matthew D. Li, Jayashree Kalpathy-Cramer
2020	J	`jnl`	Assessing the validity of saliency maps for abnormality localization in medical imaging. CoRR Nishanth Thumbavanam Arun, Nathan Gaw, Praveer Singh, Ken Chang, Katharina Viktoria Hoebel, Jay B. Patel, Mishka Gidwani, Jayashree Kalpathy-Cramer
2020	J	`jnl`	Corrigendum to: Accounting for data variability in multi-institutional distributed deep learning for medical imaging. J. Am. Medical Informatics Assoc. Niranjan Balachandar, Ken Chang, Jayashree Kalpathy-Cramer, Daniel L. Rubin
2020	J	`jnl`	Design of a 50-Gb/s Hybrid Integrated Si-Photonic Optical Link in 16-nm FinFET. IEEE J. Solid State Circuits Mayank Raj, Yohan Frans, Ping-Chuan Chiang, Sai Lalith Chaitanya Ambatipudi, David Mahashin, Peter De Heyn, Sadhishkumar Balakrishnan, Joris Van Campenhout, Jimmy Grayson, Marc Epitaux, Ken Chang
2020	—	`conf`	Federated Learning for Breast Density Classification: A Real-World Implementation. DART/DCL@MICCAI Holger R. Roth, Ken Chang, Praveer Singh, Nir Neumark, Wenqi Li, Vikash Gupta, Sharut Gupta, Liangqiong Qu, Alvin Ihsani, Bernardo C. Bizzo, Yuhong Wen, Varun Buch, Meesam Shah, Felipe Kitamura, Matheus Mendonça, Vitor Lavor, Ahmed Harouni, Colin Compas, Jesse Tetreault, Prerna Dogra, Yan Cheng, Selnur Erdal, Richard D. White, Behrooz Hashemian, Thomas J. Schultz, Miao Zhang, Adam McCarthy, B. Min Yun, Elshaimaa Sharaf, Katharina Viktoria Hoebel, Jay B. Patel, Bryan Chen, Sean Ko, Evan Leibovitz, Etta D. Pisano, Laura Coombs, Daguang Xu, Keith J. Dreyer, Ittai Dayan, Ram C. Naidu, Mona Flores, Daniel L. Rubin, Jayashree Kalpathy-Cramer
2020	J	`jnl`	Federated Learning for Breast Density Classification: A Real-World Implementation. CoRR Holger R. Roth, Ken Chang, Praveer Singh, Nir Neumark, Wenqi Li, Vikash Gupta, Sharut Gupta, Liangqiong Qu, Alvin Ihsani, Bernardo C. Bizzo, Yuhong Wen, Varun Buch, Meesam Shah, Felipe Kitamura, Matheus Mendonça, Vitor Lavor, Ahmed Harouni, Colin Compas, Jesse Tetreault, Prerna Dogra, Yan Cheng, Selnur Erdal, Richard D. White, Behrooz Hashemian, Thomas J. Schultz, Miao Zhang, Adam McCarthy, B. Min Yun, Elshaimaa Sharaf, Katharina Viktoria Hoebel, Jay B. Patel, Bryan Chen, Sean Ko, Evan Leibovitz, Etta D. Pisano, Laura Coombs, Daguang Xu, Keith J. Dreyer, Ittai Dayan, Ram C. Naidu, Mona Flores, Daniel L. Rubin, Jayashree Kalpathy-Cramer
2020	—	`conf`	Radiomics and Radiogenomics with Deep Learning in Neuro-oncology. MLCN/RNO-AI@MICCAI Jay B. Patel, Mishka Gidwani, Ken Chang, Jayashree Kalpathy-Cramer
2020	—	`conf`	Segmentation, Survival Prediction, and Uncertainty Estimation of Gliomas from Multimodal 3D MRI Using Selective Kernel Networks. BrainLes@MICCAI (2) Jay B. Patel, Ken Chang, Katharina Hoebel, Mishka Gidwani, Nishanth Thumbavanam Arun, Sharut Gupta, Mehak Aggarwal, Praveer Singh, Bruce R. Rosen, Elizabeth R. Gerstner, Jayashree Kalpathy-Cramer
2020	J	`jnl`	Siamese neural networks for continuous disease severity evaluation and change detection in medical imaging. npj Digit. Medicine Matthew D. Li, Ken Chang, Ben Bearce, Connie Y. Chang, Ambrose J. Huang, J. Peter Campbell, James M. Brown, Praveer Singh, Katharina Viktoria Hoebel, Deniz Erdogmus, Stratis Ioannidis, William E. Palmer, Michael F. Chiang, Jayashree Kalpathy-Cramer
2020	J	`jnl`	The unreasonable effectiveness of Batch-Norm statistics in addressing catastrophic forgetting across medical institutions. CoRR Sharut Gupta, Praveer Singh, Ken Chang, Mehak Aggarwal, Nishanth Thumbavanam Arun, Liangqiong Qu, Katharina Hoebel, Jay B. Patel, Mishka Gidwani, Ashwin Vaswani, Daniel L. Rubin, Jayashree Kalpathy-Cramer
2020	J	`jnl`	Towards Trainable Saliency Maps in Medical Imaging. CoRR Mehak Aggarwal, Nishanth Thumbavanam Arun, Sharut Gupta, Ashwin Vaswani, Bryan Chen, Matthew D. Li, Ken Chang, Jay B. Patel, Katherine Höbel, Mishka Gidwani, Jayashree Kalpathy-Cramer, Praveer Singh
2019	—	`conf`	A 2.25pJ/bit Multi-lane Transceiver for Short Reach Intra-package and Inter-package Communication in 16nm FinFET. CICC Marc Erett, Declan Carey, Ronan Casey, James Hudner, Kevin Geary, Ted Lee, Mayank Raj, Hongtao Zhang, Arianne Roldan, Hongyuan Zhao, Ping-Chuan Chiang, Haibing Zhao, Nakul Narang, Pedro Neto, Bruce Xu, Winson Lin, Kee Hian Tan, Yohan Frans, Ken Chang
2019	—	`conf`	A 50Gb/s Hybrid Integrated Si-Photonic Optical Link in 16nm FinFET. VLSI Circuits Mayank Raj, Yohan Frans, Sai Lalith Chaitanya Ambatipudi, David Mahashin, Peter De Heyn, Sadhishkumar Balakrishnan, Joris Van Campenhout, Jimmy Grayson, Marc Epitaux, Ken Chang
2019	J	`jnl`	A Fully Adaptive 19-58-Gb/s PAM-4 and 9.5-29-Gb/s NRZ Wireline Transceiver With Configurable ADC in 16-nm FinFET. IEEE J. Solid State Circuits Parag Upadhyaya, Chi Fung Poon, Siok-Wei Lim, Junho Cho, Arianne Roldan, Wenfeng Zhang, Jin Namkoong, Toan Pham, Bruce Xu, Winson Lin, Hongtao Zhang, Nakul Narang, Kee Hian Tan, Geoff Zhang, Yohan Frans, Ken Chang
2019	J	`jnl`	ExpertMatcher: Automating ML Model Selection for Clients using Hidden Representations. CoRR Vivek Sharma, Praneeth Vepakomma, Tristan Swedish, Ken Chang, Jayashree Kalpathy-Cramer, Ramesh Raskar
2019	J	`jnl`	ExpertMatcher: Automating ML Model Selection for Users in Resource Constrained Countries. CoRR Vivek Sharma, Praneeth Vepakomma, Tristan Swedish, Ken Chang, Jayashree Kalpathy-Cramer, Ramesh Raskar
2019	J	`jnl`	Give me (un)certainty - An exploration of parameters that affect segmentation uncertainty. CoRR Katharina Hoebel, Ken Chang, Jay B. Patel, Praveer Singh, Jayashree Kalpathy-Cramer
2019	J	`jnl`	Introduction to the Special Issue on the 2018 Symposium on VLSI Circuits. IEEE J. Solid State Circuits Ken Chang, Ken Takeuchi
2019	J	`jnl`	Split Learning for collaborative deep learning in healthcare. CoRR Maarten G. Poirot, Praneeth Vepakomma, Ken Chang, Jayashree Kalpathy-Cramer, Rajiv Gupta, Ramesh Raskar
2018	—	`conf`	A 0.5-28GB/S Wireline Tranceiver with 15-Tap DFE and Fast-Locking Digital CDR in 7NM FinFET. VLSI Circuits Jay Im, Stanley Chen, Dave Freitas, Adam Chou, Lei Zhou, Ian Zhuang, Tim Cronin, David Mahashin, Winson Lin, Kok Lim Chan, Hongyuan Zhao, Kee Hian Tan, Ade Bekele, Didem Turker, Parag Upadhyaya, Yohan Frans, Ken Chang
2018	—	`conf`	A 112-GB/S PAM4 Transmitter in 16NM FinFET. VLSI Circuits Kee Hian Tan, Ping-Chuan Chiang, Yipeng Wang, Haibing Zhao, Arianne Roldan, Hongyuan Zhao, Nakul Narang, Siok-Wei Lim, Declan Carey, Sai Lalith Chaitanya Ambatipudi, Parag Upadhyaya, Yohan Frans, Ken Chang
2018	—	`conf`	A 112GB/S PAM4 Wireline Receiver Using a 64-Way Time-Interleaved SAR ADC in 16NM FinFET. VLSI Circuits James Hudner, Declan Carey, Ronan Casey, Kay Hearne, Pedro Wilson de Abreu Farias Neto, Ilias Chlis, Marc Erett, Chi Fung Poon, Asma Laraba, Hongtao Zhang, Sai Lalith Chaitanya Ambatipudi, David Mahashin, Parag Upadhyaya, Yohan Frans, Ken Chang
2018	—	`conf`	A 126mW 56Gb/s NRZ wireline transceiver for synchronous short-reach applications in 16nm FinFET. ISSCC Marc Erett, Declan Carey, James Hudner, Ronan Casey, Kevin Geary, Pedro Neto, Mayank Raj, Scott McLeod, Hongtao Zhang, Arianne Roldan, Hongyuan Zhao, Ping-Chuan Chiang, Haibing Zhao, Kee Hian Tan, Yohan Frans, Ken Chang
2018	—	`conf`	A 4-to-16GHz inverter-based injection-locked quadrature clock generator with phase interpolators for multi-standard I/Os in 7nm FinFET. ISSCC Stanley Chen, Lei Zhou, Ian Zhuang, Jay Im, Didem Turker Melek, Jinyung Namkoong, Mayank Raj, Jaewook Shin, Yohan Frans, Ken Chang
2018	—	`conf`	A 56 Gb/s 6 mW 300 um CICC Kevin Zheng, Yohan Frans, Ken Chang, Boris Murmann
2018	—	`conf`	A 7.4-to-14GHz PLL with 54fsrms jitter in 16nm FinFET for integrated RF-data-converter SoCs. ISSCC Didem Turker, Ade Bekele, Parag Upadhyaya, Bob Verbruggen, Ying Cao, Shaojun Ma, Christophe Erdmann, Brendan Farley, Yohan Frans, Ken Chang
2018	—	`conf`	A fully adaptive 19-to-56Gb/s PAM-4 wireline transceiver with a configurable ADC in 16nm FinFET. ISSCC Parag Upadhyaya, Chi Fung Poon, Siok-Wei Lim, Junho Cho, Arianne Roldan, Wenfeng Zhang, Jin Namkoong, Toan Pham, Bruce Xu, Winson Lin, Hongtao Zhang, Nakul Narang, Kee Hian Tan, Geoff Zhang, Yohan Frans, Ken Chang
2018	—	`conf`	An Inverter-Based Analog Front End for a 56 GB/S PAM4 Wireline Transceiver in 16NMCMOS. VLSI Circuits Kevin Zheng, Yohan Frans, Sai Lalith Ambatipudi, Santiago Asuncion, Hari Teja Reddy, Ken Chang, Boris Murmann
2018	J	`jnl`	AnatomiCuts: Hierarchical clustering of tractography streamlines based on anatomical similarity. NeuroImage Viviana Siless, Ken Chang, Bruce Fischl, Anastasia Yendiki
2018	J	`jnl`	Deep feature transfer between localization and segmentation tasks. CoRR Szu-Yeu Hu, Andrew Beers, Ken Chang, Kathi Höbel, J. Peter Campbell, Deniz Erdogmus, Stratis Ioannidis, Jennifer G. Dy, Michael F. Chiang, Jayashree Kalpathy-Cramer, James M. Brown
2018	J	`jnl`	DeepNeuro: an open-source deep learning toolbox for neuroimaging. CoRR Andrew Beers, James M. Brown, Ken Chang, Katharina Hoebel, Elizabeth R. Gerstner, Bruce R. Rosen, Jayashree Kalpathy-Cramer
2018	J	`jnl`	Distributed deep learning networks among institutions for medical imaging. J. Am. Medical Informatics Assoc. Ken Chang, Niranjan Balachandar, Carson K. Lam, Darvin Yi, James M. Brown, Andrew Beers, Bruce R. Rosen, Daniel L. Rubin, Jayashree Kalpathy-Cramer
2018	J	`jnl`	High-resolution medical image synthesis using progressively grown generative adversarial networks. CoRR Andrew Beers, James M. Brown, Ken Chang, J. Peter Campbell, Susan Ostmo, Michael F. Chiang, Jayashree Kalpathy-Cramer
2018	J	`jnl`	Introduction to the Special Issue on the 2017 Symposium on VLSI Circuits. IEEE J. Solid State Circuits Makoto Ikeda, Ken Chang
2018	J	`jnl`	Semi-Supervised Deep Learning for Abnormality Classification in Retinal Images. CoRR Bruno Lecouat, Ken Chang, Chuan-Sheng Foo, Balagopal Unnikrishnan, James M. Brown, Houssam Zenati, Andrew Beers, Vijay Chandrasekhar, Jayashree Kalpathy-Cramer, Pavitra Krishnaswamy
2018	B	`conf`	Sequential neural networks for biologically-informed glioma segmentation. Image Processing Andrew Beers, Ken Chang, James M. Brown, Elizabeth R. Gerstner, Bruce R. Rosen, Jayashree Kalpathy-Cramer
2017	—	`conf`	6.3 A 40-to-56Gb/s PAM-4 receiver with 10-tap direct decision-feedback equalization in 16nm FinFET. ISSCC Jay Im, Dave Freitas, Arianne Roldan, Ronan Casey, Stanley Chen, Adam Chou, Tim Cronin, Kevin Geary, Scott McLeod, Lei Zhou, Ian Zhuang, Jaeduk Han, Sen Lin, Parag Upadhyaya, Geoff Zhang, Yohan Frans, Ken Chang
2017	J	`jnl`	A 0.5-16.3 Gbps Multi-Standard Serial Transceiver With 219 mW/Channel in 16-nm FinFET. IEEE J. Solid State Circuits Marc Erett, James Hudner, Declan Carey, Ronan Casey, Kevin Geary, Kay Hearne, Pedro Neto, Thomas Mallard, Vikas Sooden, Mark Smyth, Yohan Frans, Jay Im, Parag Upadhyaya, Wenfeng Zhang, Winson Lin, Bruce Xu, Ken Chang
2017	J	`jnl`	A 32.75-Gb/s Voltage-Mode Transmitter With Three-Tap FFE in 16-nm CMOS. IEEE J. Solid State Circuits Kok Lim Chan, Kee Hian Tan, Yohan Frans, Jay Im, Parag Upadhyaya, Siok-Wei Lim, Arianne Roldan, Nakul Narang, Chin Yang Koay, Hongyuan Zhao, Ping-Chuan Chiang, Ken Chang
2017	J	`jnl`	A 40-to-56 Gb/s PAM-4 Receiver With Ten-Tap Direct Decision-Feedback Equalization in 16-nm FinFET. IEEE J. Solid State Circuits Jay Im, Dave Freitas, Arianne Roldan, Ronan Casey, Stanley Chen, Adam Chou, Tim Cronin, Kevin Geary, Scott McLeod, Lei Zhou, Ian Zhuang, Jaeduk Han, Sen Lin, Parag Upadhyaya, Geoff Zhang, Yohan Frans, Ken Chang
2017	J	`jnl`	A 56-Gb/s PAM4 Wireline Transceiver Using a 32-Way Time-Interleaved SAR ADC in 16-nm FinFET. IEEE J. Solid State Circuits Yohan Frans, Jaewook Shin, Lei Zhou, Parag Upadhyaya, Jay Im, Vassili Kireev, Mohamed Elzeftawi, Hiva Hedayati, Toan Pham, Santiago Asuncion, Chris Borrelli, Geoff Zhang, Hongtao Zhang, Ken Chang
2017	J	`jnl`	Institutionally Distributed Deep Learning Networks. CoRR Ken Chang, Niranjan Balachandar, Carson K. Lam, Darvin Yi, James M. Brown, Andrew Beers, Bruce R. Rosen, Daniel L. Rubin, Jayashree Kalpathy-Cramer
2017	J	`jnl`	Sequential 3D U-Nets for Biologically-Informed Brain Tumor Segmentation. CoRR Andrew Beers, Ken Chang, James M. Brown, Emmett Sartor, C. P. Mammen, Elizabeth R. Gerstner, Bruce R. Rosen, Jayashree Kalpathy-Cramer
2016	—	`conf`	10.6 A 6.75-to-8.25GHz, 250fsrms-integrated-jitter 3.25mW rapid on/off PVT-insensitive fractional-N injection-locked clock multiplier in 65nm CMOS. ISSCC Ahmed Elkholy, Ahmed Elmallah, Mohamed Elzeftawi, Ken Chang, Pavan Kumar Hanumolu
2016	—	`conf`	3.7 A 40-to-64Gb/s NRZ transmitter with supply-regulated front-end in 16nm FinFET. ISSCC Yohan Frans, Scott McLeod, Hiva Hedayati, Mohamed Elzeftawi, Jin Namkoong, Winson Lin, Jay Im, Parag Upadhyaya, Ken Chang
2016	—	`conf`	A 0.5-16.3Gbps multi-standard serial transceiver with 219mW/channel in 16nm FinFET. ESSCIRC Marc Erett, James Hudner, Declan Carey, Ronan Casey, Kevin Geary, Kay Hearne, Pedro Neto, Thomas Mallard, Vikas Sooden, Mark Smyth, Yohan Frans, Jay Im, Parag Upadhyaya, Wenfeng Zhang, Winson Lin, Bruce Xu, Ken Chang
2016	—	`conf`	A 32.75-Gb/s voltage mode transmitter with 3-tap FFE in 16nm CMOS. A-SSCC Kok Lim Chan, Kee Hian Tan, Yohan Frans, Jay Im, Parag Upadhyaya, Siok-Wei Lim, Arianne Roldan, Nakul Narang, Chin Yang Koay, Hongyuan Zhao, Ken Chang
2016	J	`jnl`	A 40-to-64 Gb/s NRZ Transmitter With Supply-Regulated Front-End in 16 nm FinFET. IEEE J. Solid State Circuits Yohan Frans, Scott McLeod, Hiva Hedayati, Mohamed Elzeftawi, Jin Namkoong, Winson Lin, Jay Im, Parag Upadhyaya, Ken Chang
2016	—	`conf`	A 56Gb/s PAM4 wireline transceiver using a 32-way time-interleaved SAR ADC in 16nm FinFET. VLSI Circuits Yohan Frans, Mohamed Elzeftawi, Hiva Hedayati, Jay Im, Vassili Kireev, Toan Pham, Jaewook Shin, Parag Upadhyaya, Lei Zhou, Santiago Asuncion, Chris Borrelli, Geoff Zhang, Hongtao Zhang, Ken Chang
2016	—	`conf`	A 7-to-18.3GHz compact transformer based VCO in 16nm FinFET. VLSI Circuits Mayank Raj, Parag Upadhyaya, Yohan Frans, Ken Chang
2016	—	`conf`	A fully-adaptive wideband 0.5-32.75Gb/s FPGA transceiver in 16nm FinFET CMOS technology. VLSI Circuits Parag Upadhyaya, Ade Bekele, Didem Turker Melek, Haibing Zhao, Jay Im, Junho Cho, Kee Hian Tan, Scott McLeod, Stanley Chen, Wenfeng Zhang, Yohan Frans, Ken Chang
2016	—	`conf`	Hierarchical Clustering of Tractography Streamlines Based on Anatomical Similarity. MICCAI (1) Viviana Siless, Ken Chang, Bruce Fischl, Anastasia Yendiki
2015	—	`conf`	3.3 A 0.5-to-32.75Gb/s flexible-reach wireline transceiver in 20nm CMOS. ISSCC Parag Upadhyaya, Jafar Savoj, Fu-Tai An, Ade Bekele, Anup P. Jose, Bruce Xu, Zhaoyin Daniel Wu, Didem Turker, Hesam Amir Aslanzadeh, Hiva Hedayati, Jay Im, Siok-Wei Lim, Stanley Chen, Toan Pham, Yohan Frans, Ken Chang
2015	J	`jnl`	A 0.5-16.3 Gb/s Fully Adaptive Flexible-Reach Transceiver for FPGA in 20 nm CMOS. IEEE J. Solid State Circuits Yohan Frans, Declan Carey, Marc Erett, Hesam Amir Aslanzadeh, Wayne Y. Fang, Didem Turker, Anup P. Jose, Adebabay Bekele, Jay Im, Parag Upadhyaya, Zhaoyin Daniel Wu, Kenny C.-H. Hsieh, Jafar Savoj, Ken Chang
2015	—	`conf`	F6: I/O design at 25Gb/s and beyond: Enabling the future communication infrastructure for big data. ISSCC Ken Chang, Frank O'Mahony, Elad Alon, Hyeon-Min Bae, Nicola Da Dalt, Eric Fluhr
2015	—	`conf`	Session 3 overview: Ultra-high-speed wireline transceivers and energy-efficient links: Wireline subcommittee. ISSCC Ken Chang, Shunichi Kaeriyama
2014	—	`conf`	2.8 A pulse-position-modulation phase-noise-reduction technique for a 2-to-16GHz injection-locked ring oscillator in 20nm CMOS. ISSCC Jun-Chau Chien, Parag Upadhyaya, Howard Jung, Stanley Chen, Wayne Fang, Ali M. Niknejad, Jafar Savoj, Ken Chang
2014	—	`conf`	F6: Energy-efficient I/O design for next-generation systems. ISSCC Frank O'Mahony, Nicola Da Dalt, Ken Chang, Hisakatsu Yamaguchi, Chulwoo Kim, Elad Alon
2014	—	`conf`	Wideband flexible-reach techniques for a 0.5-16.3Gb/s fully-adaptive transceiver in 20nm CMOS. CICC Jafar Savoj, Hesam Amir Aslanzadeh, Declan Carey, Marc Erett, Wayne Fang, Yohan Frans, Kenny C.-H. Hsieh, Jay Im, Anup P. Jose, Didem Turker, Parag Upadhyaya, Zhaoyin Daniel Wu, Ken Chang
2013	J	`jnl`	A Low-Power 0.5-6.6 Gb/s Wireline Transceiver Embedded in Low-Cost 28 nm FPGAs. IEEE J. Solid State Circuits Jafar Savoj, Kenny C.-H. Hsieh, Fu-Tai An, J. Gong, Jay Im, Xuewen Jiang, Anup P. Jose, Vassili Kireev, Siok-Wei Lim, Arianne Roldan, D. Z. Turker, Parag Upadhyaya, Zhaoyin Daniel Wu, Ken Chang
2013	—	`conf`	F2: VLSI power-management techniques: Principles and applications. ISSCC Leland Chang, Shannon Morton, Ken Chang, Jin-Man Han, Piero Malcovati, Vladimir Stojanovic
2013	—	`conf`	Session 2 overview: Ultra-high-speed transceivers and equalizers. ISSCC Ken Chang, Hisakatsu Yamaguchi
2012	—	`conf`	10-40 Gb/s I/O design for data communications. ISSCC Ken Chang, Tony Chan Carusone, Ali Sheikholeslami, Bob Payne, Miki Moyal, John T. Stonick, Hisakatsu Yamaguchi
2012	—	`conf`	A 0.4mW/Gb/s 16Gb/s near-ground receiver front-end with replica transconductance termination calibration. ISSCC Kambiz Kaviani, Amir Amirkhany, Charlie Huang, Phuong Le, Chris J. Madden, Keisuke Saito, Koji Sano, Vinod Murugan, Wendemagegnehu T. Beyene, Ken Chang, Chuck Yuan
2012	J	`jnl`	A 4.1-pJ/b, 16-Gb/s Coded Differential Bidirectional Parallel Electrical Link. IEEE J. Solid State Circuits Amir Amirkhany, Kambiz Kaviani, Ali-Azam Abbasfar, H. Md. Shuaeb Fazeel, Wendemagegnehu T. Beyene, Chikara Hoshino, Chris J. Madden, Ken Chang, Chuck Yuan
2012	—	`conf`	A 4.1pJ/b 16Gb/s coded differential bidirectional parallel electrical link. ISSCC Amir Amirkhany, Kambiz Kaviani, Ali-Azam Abbasfar, H. Md. Shuaeb Fazeel, Wendemagegnehu T. Beyene, Chikara Hoshino, Chris J. Madden, Ken Chang, Chuck Yuan
2012	—	`conf`	A wide common-mode fully-adaptive multi-standard 12.5Gb/s backplane transceiver in 28nm CMOS. VLSIC Jafar Savoj, Kenny C.-H. Hsieh, Parag Upadhyaya, Fu-Tai An, Ade Bekele, Stanley Chen, Xuewen Jiang, Kang Wei Lai, Chi Fung Poon, Aman Sewani, Didem Turker, Karthik Venna, Zhaoyin Daniel Wu, Bruce Xu, Elad Alon, Ken Chang
2012	—	`conf`	Design of high-speed wireline transceivers for backplane communications in 28nm CMOS. CICC Jafar Savoj, Kenny C.-H. Hsieh, Parag Upadhyaya, Fu-Tai An, Jay Im, Xuewen Jiang, Jalil Kamali, Kang Wei Lai, Zhaoyin Daniel Wu, Elad Alon, Ken Chang
2012	—	`conf`	Session 19 overview: 20+ Gb/s wireline transceivers and injection-locked clocking: Wireline subcommittee. ISSCC Ken Chang, SeongHwan Cho
2011	—	`conf`	Ultra-low voltage VLSIs for energy efficient systems. ISSCC Ken Takeuchi, Ken Chang, Kevin Zhang, Tadaaki Yamauchi, Roberto Gastaldi
2010	—	`conf`	Low-skew clock distribution using zero-phase-clock-buffer DLLs. ISSCC Ting Wu, Farshid Aryanfar, Haechang Lee, Jie Shen, T. J. Chin, Carl W. Werner, Ken Chang
2008	—	`conf`	Clocking circuits for a 16Gb/s memory interface. CICC Ting Wu, Xudong Shi, Kambiz Kaviani, Haechang Lee, Jung-Hoon Chun, T. J. Chin, Jie Shen, Rich Perego, Ken Chang
2008	—	`conf`	Session 20 - Advanced wireline techniques. CICC Ed van Tuijl, Ken Chang
2006	J	`jnl`	Replica compensated linear regulators for supply-regulated phase-locked loops. IEEE J. Solid State Circuits Elad Alon, Jaeha Kim, Sudhakar Pamarti, Ken Chang, Mark Horowitz