John Wu - RankMe

31 papers A* 1B 1C 2Journal 16Unranked 11

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Modular LLM Framework for Explainable Price Outlier Detection. CoRR Shadi Sartipi, John Wu, Sina Ghotbi, Nikhita Vedula, Shervin Malmasi
2026	J	`jnl`	A Practical Guide Towards Interpreting Time-Series Deep Clinical Predictive Models: A Reproducibility Study. CoRR Yongda Fan, John Wu, Andrea Fitzpatrick, Naveen Baskaran, Jimeng Sun, Adam R. Cross
2026	J	`jnl`	Bridging the Reproducibility Divide: Open Source Software's Role in Standardizing Healthcare AI. CoRR John Wu, Zhenbang Wu, Jimeng Sun
2026	J	`jnl`	MIMIC-RD: Can LLMs differentially diagnose rare diseases in real-world clinical settings? CoRR Zilal Eiz AlDin, John Wu, Jeffrey Paul Fung, Jennifer King, Mya Watts, Lauren ONeill, Adam Cross, Jimeng Sun
2026	J	`jnl`	Making Conformal Predictors Robust in Healthcare Settings: a Case Study on EEG Classification. CoRR Arjun Chatterjee, Sayeed Sajjad Razin, John Wu, Siddhartha Laghuvarapu, Jathurshan Pradeepkumar, Jimeng Sun
2026	J	`jnl`	PyHealth 2.0: A Comprehensive Open-Source Toolkit for Accessible and Reproducible Clinical Deep Learning. CoRR John Wu, Yongda Fan, Zhenbang Wu, Paul Landes, Eric Schrock, Sayeed Sajjad Razin, Arjun Chatterjee, Naveen Baskaran, Joshua Steier, Andrea Fitzpatrick, Bilal Arif, Rian Atri, Jathurshan Pradeepkumar, Siddhartha Laghuvarapu, Junyi Gao, Adam R. Cross, Jimeng Sun
2025	—	`conf`	MEDS: Building Models and Tools in a Reproducible Health AI Ecosystem. KDD (2) Matthew B. A. McDermott, Justin Xu, Teya S. Bergamaschi, Hyewon Jeong, Simon A. Lee, Nassim Oufattole, Patrick Rockenschaub, Kamile Stankeviciute, Ethan Steinberg, Jimeng Sun, Robin Van De Water, Michael Wornow, John Wu, Zhenbang Wu
2025	J	`jnl`	RDMA: Cost Effective Agent-Driven Rare Disease Discovery within Electronic Health Record Systems. CoRR John Wu, Adam Cross, Jimeng Sun
2025	—	`conf`	RHealth: A R Toolkit for Deep Learning in Healthcare. BIBM Ji Song, Zhixia Ren, Zhenbang Wu, John Wu, Chaoqi Yang, Yinghao Zhu, Wen Tang, Jimeng Sun, Ewen M. Harrison, Liantao Ma, Junyi Gao
2025	J	`jnl`	Recent Advances, Applications and Open Challenges in Machine Learning for Health: Reflections from Research Roundtables at ML4H 2024 Symposium. CoRR Amin Adibi, Xu Cao, Zongliang Ji, Jivat Neet Kaur, Winston Chen, Elizabeth Healey, Brighton Nuwagira, Wenqian Ye, Geoffrey Woollard, Maxwell A. Xu, Hejie Cui, Johnny Xi, Trenton Chang, Vasiliki Bikia, Nicole Zhang, Ayush Noori, Yuan Xia, Md. Belal Hossain, Hanna A. Frank, Alina Peluso, Yuan Pu, Shannon Zejiang Shen, John Wu, Adibvafa Fallahpour, Sazan Mahbub, Ross Duncan, Yuwei Zhang, Yurui Cao, Zuheng Xu, Michael Craig, Rahul G. Krishnan, Rahmatollah Beheshti, James M. Rehg, Mohammad Ehsanul Karim, Megan Coffee, Leo Anthony Celi, Jason Alan Fries, Mohsen Sadatsafavi, Dennis L. Shung, Shannon K. McWeeney, Jessica Dafflon, Sarah Jabbour
2024	—	`conf`	2.2 "Zen 4c": The AMD 5nm Area-Optimized ×86-64 Microprocessor Core. ISSCC Thomas Burd, Srividhya Venkataraman, Wilson Li, Timothy Johnson, Jerry Lee, Srikirti Velaga, Mark Wasio, Thomas Yiu, Franklin Bodine, Michael McCabe, Udin Salim, Santosh Kumar Thouta, Michael Golden, Sowmya Ramachandran, Gokul Subramani Lakshmi Devi, John Wu, Yarek Kuszczak, Gaurav Singla, Carson Henrion, Andy Robison, Sabeesh Balagangadharan, Umesh Nair, Naveen Srivastava, Hari Prasad, Mohini Polimetla, Phaneendra Chennupati, Eshwar Gupta, Mahesh Vykuntam, Sumantra Sarkar, Praveen Kumar Duvvuru, Theja Mardi, G. Swetha
2024	A*	`conf`	Beyond Label Attention: Transparency in Language Models for Automated Medical Coding via Dictionary Learning. EMNLP John Wu, David Wu, Jimeng Sun
2024	J	`jnl`	Beyond Label Attention: Transparency in Language Models for Automated Medical Coding via Dictionary Learning. CoRR John Wu, David Wu, Jimeng Sun
2024	—	`conf`	DILA: Dictionary Label Attention for Mechanistic Interpretability in High-dimensional Multi-label Medical Coding Prediction. ML4H@NeurIPS John Wu, David Wu, Jimeng Sun
2024	J	`jnl`	DILA: Dictionary Label Attention for Mechanistic Interpretability in High-dimensional Multi-label Medical Coding Prediction. CoRR John Wu, David Wu, Jimeng Sun
2024	J	`jnl`	If LLM Is the Wizard, Then Code Is the Wand: A Survey on How Code Empowers Large Language Models to Serve as Intelligent Agents. CoRR Ke Yang, Jiateng Liu, John Wu, Chaoqi Yang, Yi R. Fung, Sha Li, Zixuan Huang, Xu Cao, Xingyao Wang, Yiquan Wang, Heng Ji, ChengXiang Zhai
2023	—	`conf`	Career Anchor and Information Technology Major Choice of First-Generation College Students. SIGMIS-CPR John Wu, Gautham Amarnath
2022	J	`jnl`	A Case for Dataset Specific Profiling. CoRR Seth Ockerman, John Wu, Christopher Stewart
2021	J	`jnl`	On the classification of bug reports to improve bug localization. Soft Comput. Fan Fang, John Wu, Yanyan Li, Xin Ye, Wajdi Aljedaani, Mohamed Wiem Mkaouer
2018	C	`conf`	Bug Report Classification Using LSTM Architecture for More Accurate Software Defect Locating. ICMLA Xin Ye, Fan Fang, John Wu, Razvan C. Bunescu, Chang Liu
2016	—	`conf`	Applying Augmented Cognition to Flip-Flop Methodology. HCI (14) Jan Stelovsky, Randall K. Minas, Umida Stelovska, John Wu
2016	—	`conf`	Constructive Learning Using Flip-Flop Methodology: Learning by Making Quizzes Synchronized with Video Recording of Lectures. HCI (23) Umida Stelovska, Jan Stelovsky, John Wu
2014	—	`conf`	ADNS IPv6 Transition Architecture and Analysis. MILCOM John Wu, Steven Schneider, Ranga S. Ramanujan, Matthew Rambo
2011	J	`jnl`	An Autonomous Multi-Agent Simulation Model for Acute Inflammatory Response. Int. J. Artif. Life Res. John Wu, David Ben-Arieh, Zhenzhen Shi
2010	—	`conf`	A 78mW 11.8Gb/s serial link transceiver with adaptive RX equalization and baud-rate CDR in 32nm CMOS. ISSCC Fulvio Spagna, Lidong Chen, Mamatha Deshpande, Yongping Fan, Doug Gambetta, Sujatha Gowder, Sitaraman Iyer, Rohit Kumar, Peter Kwok, Renuka Krishnamurthy, Chien-Chun Lin, Ravindran Mohanavelu, Roan Nicholson, Jeff Ou, Marcus Pasquarella, Kavitha Prasad, Hendra Rustam, Luke Tong, Amanda Tran, John Wu, Xuguang Zhang
2010	—	`conf`	A Practical Approach to the Teaching of Internet Programming and Multimedia Technologies. ICHL Philip M. Tsang, Reggie Kwan, Vincent T. Y. Tam, Paul Kwok, Steven O. Choy, John Wu, Kai S. Koong, Bob Fox, Jonathan Tsang
2008	—	`conf`	Correlated Equilibrium of Bertrand Competition. WINE John Wu
2006	J	`jnl`	Implementation of a fourth-generation 1.8-GHz dual-core SPARC V9 microprocessor. IEEE J. Solid State Circuits Jason M. Hart, Kyung T. Lee, Dennis Chen, Lik Cheng, Chipai Chou, Anand Dixit, Dale Greenley, Gregory Gruber, Kenneth Ho, Jesse Hsu, Naveen G. Malur, John Wu
2001	B	`conf`	Agent-based schedule validation and verification. SMC John Budenske, Jim Newhouse, Jordan Bonney, John Wu
2000	J	`jnl`	A third-generation SPARC V9 64-b microprocessor. IEEE J. Solid State Circuits Raymond A. Heald, Kathirgamar Aingaran, Chaim Amir, Michael Ang, Michael Boland, Pankaj Dixit, Gary Gouldsberry, Dale Greenley, Joel Grinberg, Jason M. Hart, Tim Horel, Wen-Jay Hsu, James M. Kaku, Chin Kim, Song Kim, Fabian Klass, Hang Kwan, Gary Lauterbach, Roger Lo, Hugh McIntyre, Anup Mehta, David Murata, Sophie Nguyen, Yet-Ping Pai, Subeer Patel, Ken Shin, Kenway Tam, Sai Vishwanthaiah, John Wu, Gin Yee, Eileen You
1994	C	`conf`	A Mismatch Independent DNL Pipelined Analog to Digital Converter. ISCAS John Wu, Bosco Leung, Sehat Sutarja