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2020 – today
- 2025
[i12]George Kurian, Somayeh Sardashti, Ryan Sims, Felix Berger, Gary Holt, Yang Li, Jeremiah Willcock, Kaiyuan Wang, Herve Quiroz, Abdulrahman Salem, Julian Grady:
Scalable Machine Learning Training Infrastructure for Online Ads Recommendation and Auction Scoring Modeling at Google. CoRR abs/2501.10546 (2025)- 2024
- [j8]Zhaohui Qin
, Haoran Ren, Pei Zhao, Kaiyuan Wang, Huixia Liu, Chunbo Miao, Yanxiu Du, Junzhou Li, Liuji Wu, Zhen Chen:
Current computational tools for protein lysine acylation site prediction. Briefings Bioinform. 25(6) (2024) - [j7]Xiaobo Chen, Kaiyuan Wang, Feng Zhao, Fuwen Deng, Qiaolin Ye:
Composite Nonconvex Low-Rank Tensor Completion With Joint Structural Regression for Traffic Sensor Networks Data Recovery. IEEE Trans. Comput. Soc. Syst. 11(5): 6882-6896 (2024) - [c36]Xianbo Liu, Kaiyuan Wang, Weifan Wang, Yi Luo, Peng Ren, Yuhang Hu, Zeming Li, Xiangkuan Li, Zhentao Hu, Wenyao Li, Chunxiao Xing:
Sepsis Mortality Prediction with Electronic Health Records Based on Sequential and Attention-Based Models. WISA 2024: 476-486 - [c35]Shoutai Zhu, Ziqiang Yuan, Kaiyuan Wang, Yishu Zhang, Wenqi Wei:
Enhancing Financial Reasoning in Large Language Models: The Role of Gold Facts. IEEE Big Data 2024: 1919-1928 - [c34]Abby O'Neill, Abdul Rehman, Abhiram Maddukuri, Abhishek Gupta, Abhishek Padalkar, Abraham Lee, Acorn Pooley, Agrim Gupta, Ajay Mandlekar, Ajinkya Jain, Albert Tung, Alex Bewley, Alexander Herzog, Alex Irpan, Alexander Khazatsky, Anant Rai, Anchit Gupta, Andrew E. Wang, Anikait Singh, Animesh Garg, Aniruddha Kembhavi, Annie Xie, Anthony Brohan, Antonin Raffin, Archit Sharma, Arefeh Yavary, Arhan Jain, Ashwin Balakrishna, Ayzaan Wahid, Ben Burgess-Limerick, Beomjoon Kim, Bernhard Schölkopf, Blake Wulfe, Brian Ichter, Cewu Lu, Charles Xu, Charlotte Le, Chelsea Finn, Chen Wang, Chenfeng Xu, Cheng Chi, Chenguang Huang, Christine Chan, Christopher Agia, Chuer Pan, Chuyuan Fu, Coline Devin, Danfei Xu, Daniel Morton, Danny Driess, Daphne Chen, Deepak Pathak, Dhruv Shah, Dieter Büchler, Dinesh Jayaraman, Dmitry Kalashnikov, Dorsa Sadigh, Edward Johns, Ethan Paul Foster, Fangchen Liu, Federico Ceola, Fei Xia, Feiyu Zhao, Freek Stulp, Gaoyue Zhou, Gaurav S. Sukhatme, Gautam Salhotra, Ge Yan, Gilbert Feng, Giulio Schiavi, Glen Berseth, Gregory Kahn, Guanzhi Wang, Hao Su, Haoshu Fang, Haochen Shi, Henghui Bao, Heni Ben Amor, Henrik I. Christensen, Hiroki Furuta, Homer Walke, Hongjie Fang, Huy Ha, Igor Mordatch, Ilija Radosavovic, Isabel Leal, Jacky Liang, Jad Abou-Chakra, Jaehyung Kim, Jaimyn Drake, Jan Peters, Jan Schneider, Jasmine Hsu, Jeannette Bohg, Jeffrey Bingham, Jeffrey Wu, Jensen Gao, Jiaheng Hu, Jiajun Wu, Jialin Wu, Jiankai Sun, Jianlan Luo, Jiayuan Gu, Jie Tan, Jihoon Oh, Jimmy Wu, Jingpei Lu, Jingyun Yang, Jitendra Malik, João Silvério, Joey Hejna, Jonathan Booher, Jonathan Tompson, Jonathan Yang, Jordi Salvador, Joseph J. Lim, Junhyek Han, Kaiyuan Wang, Kanishka Rao, Karl Pertsch, Karol Hausman, Keegan Go, Keerthana Gopalakrishnan, Ken Goldberg, Kendra Byrne, Kenneth Oslund, Kento Kawaharazuka, Kevin Black, Kevin Lin, Kevin Zhang, Kiana Ehsani, Kiran Lekkala, Kirsty Ellis, Krishan Rana, Krishnan Srinivasan, Kuan Fang, Kunal Pratap Singh, Kuo-Hao Zeng, Kyle Hatch, Kyle Hsu, Laurent Itti, Lawrence Yunliang Chen, Lerrel Pinto, Li Fei-Fei, Liam Tan, Linxi Jim Fan, Lionel Ott, Lisa Lee, Luca Weihs, Magnum Chen, Marion Lepert, Marius Memmel, Masayoshi Tomizuka, Masha Itkina, Mateo Guaman Castro, Max Spero, Maximilian Du, Michael Ahn, Michael C. Yip, Mingtong Zhang, Mingyu Ding, Minho Heo, Mohan Kumar Srirama, Mohit Sharma, Moo Jin Kim, Naoaki Kanazawa, Nicklas Hansen, Nicolas Heess, Nikhil J. Joshi, Niko Sünderhauf, Ning Liu, Norman Di Palo, Nur Muhammad (Mahi) Shafiullah, Oier Mees, Oliver Kroemer, Osbert Bastani, Pannag R. Sanketi, Patrick Tree Miller, Patrick Yin, Paul Wohlhart, Peng Xu, Peter David Fagan, Peter Mitrano, Pierre Sermanet, Pieter Abbeel, Priya Sundaresan, Qiuyu Chen, Quan Vuong, Rafael Rafailov, Ran Tian, Ria Doshi, Roberto Martín-Martín, Rohan Baijal, Rosario Scalise, Rose Hendrix, Roy Lin, Runjia Qian, Ruohan Zhang, Russell Mendonca, Rutav Shah, Ryan Hoque, Ryan Julian, Samuel Bustamante, Sean Kirmani, Sergey Levine, Shan Lin, Sherry Moore, Shikhar Bahl, Shivin Dass, Shubham D. Sonawani, Shuran Song, Sichun Xu, Siddhant Haldar, Siddharth Karamcheti, Simeon Adebola, Simon Guist, Soroush Nasiriany, Stefan Schaal, Stefan Welker, Stephen Tian, Subramanian Ramamoorthy, Sudeep Dasari, Suneel Belkhale, Sungjae Park, Suraj Nair, Suvir Mirchandani, Takayuki Osa, Tanmay Gupta, Tatsuya Harada, Tatsuya Matsushima, Ted Xiao, Thomas Kollar, Tianhe Yu, Tianli Ding, Todor Davchev, Tony Z. Zhao, Travis Armstrong, Trevor Darrell, Trinity Chung, Vidhi Jain, Vincent Vanhoucke, Wei Zhan, Wenxuan Zhou, Wolfram Burgard, Xi Chen, Xiaolong Wang, Xinghao Zhu, Xinyang Geng, Xiyuan Liu, Liangwei Xu, Xuanlin Li, Yao Lu, Yecheng Jason Ma, Yejin Kim, Yevgen Chebotar, Yifan Zhou, Yifeng Zhu, Yilin Wu, Ying Xu, Yixuan Wang, Yonatan Bisk, Yoonyoung Cho, Youngwoon Lee, Yuchen Cui, Yue Cao, Yueh-Hua Wu, Yujin Tang, Yuke Zhu, Yunchu Zhang, Yunfan Jiang, Yunshuang Li, Yunzhu Li, Yusuke Iwasawa, Yutaka Matsuo, Zehan Ma, Zhuo Xu, Zichen Jeff Cui, Zichen Zhang, Zipeng Lin:
Open X-Embodiment: Robotic Learning Datasets and RT-X Models : Open X-Embodiment Collaboration. ICRA 2024: 6892-6903 - [c33]Fangbo Qin, Taogang Hou, Shan Lin, Kaiyuan Wang, Michael C. Yip, Shan Yu:
AnyOKP: One-Shot and Instance-Aware Object Keypoint Extraction with Pretrained ViT. ICRA 2024: 12397-12403 - [c32]Shan Lin, Albert J. Miao, Ali Alabiad, Fei Liu, Kaiyuan Wang, Jingpei Lu, Florian Richter, Michael C. Yip:
SuPerPM: A Surgical Perception Framework Based on Deep Point Matching Learned from Physical Constrained Simulation Data. IROS 2024: 12780-12786 - [c31]Jiale Amber Wang, Kaiyuan Wang, Pengyu Nie:
Efficient Incremental Code Coverage Analysis for Regression Test Suites. ASE 2024: 1882-1894 - [c30]Alexander Khazatsky, Karl Pertsch, Suraj Nair, Ashwin Balakrishna, Sudeep Dasari, Siddharth Karamcheti, Soroush Nasiriany, Mohan Kumar Srirama, Lawrence Yunliang Chen, Kirsty Ellis, Peter David Fagan, Joey Hejna, Masha Itkina, Marion Lepert, Yecheng Jason Ma, Patrick Tree Miller, Jimmy Wu, Suneel Belkhale, Shivin Dass, Huy Ha, Arhan Jain, Abraham Lee, Youngwoon Lee, Marius Memmel, Sungjae Park, Ilija Radosavovic, Kaiyuan Wang, Albert Zhan, Kevin Black, Cheng Chi, Kyle Beltran Hatch, Shan Lin, Jingpei Lu, Jean Mercat, Abdul Rehman, Pannag R. Sanketi, Archit Sharma, Cody Simpson, Quan Vuong, Homer Rich Walke, Blake Wulfe, Ted Xiao, Jonathan Heewon Yang, Arefeh Yavary, Tony Z. Zhao, Christopher Agia, Rohan Baijal, Mateo Guaman Castro, Daphne Chen, Qiuyu Chen, Trinity Chung, Jaimyn Drake, Ethan Paul Foster, Jensen Gao, David Antonio Herrera, Minho Heo, Kyle Hsu, Jiaheng Hu, Donovon Jackson, Charlotte Le, Yunshuang Li, Roy Lin, Zehan Ma, Abhiram Maddukuri, Suvir Mirchandani, Daniel Morton, Tony Nguyen, Abigail O'Neill, Rosario Scalise, Derick Seale, Victor Son, Stephen Tian, Emi Tran, Andrew E. Wang, Yilin Wu, Annie Xie, Jingyun Yang, Patrick Yin, Yunchu Zhang, Osbert Bastani, Glen Berseth, Jeannette Bohg, Ken Goldberg, Abhinav Gupta, Abhishek Gupta, Dinesh Jayaraman, Joseph J. Lim, Jitendra Malik, Roberto Martín-Martín, Subramanian Ramamoorthy, Dorsa Sadigh, Shuran Song, Jiajun Wu, Michael C. Yip, Yuke Zhu, Thomas Kollar, Sergey Levine, Chelsea Finn:
DROID: A Large-Scale In-The-Wild Robot Manipulation Dataset. Robotics: Science and Systems 2024 - [i11]Ziqiang Yuan, Kaiyuan Wang, Shoutai Zhu, Ye Yuan, Jingya Zhou, Yanlin Zhu, Wenqi Wei:
FinLLMs: A Framework for Financial Reasoning Dataset Generation with Large Language Models. CoRR abs/2401.10744 (2024) - [i10]Alexander Khazatsky, Karl Pertsch, Suraj Nair, Ashwin Balakrishna, Sudeep Dasari, Siddharth Karamcheti, Soroush Nasiriany, Mohan Kumar Srirama, Lawrence Yunliang Chen, Kirsty Ellis, Peter David Fagan, Joey Hejna, Masha Itkina, Marion Lepert, Yecheng Jason Ma, Patrick Tree Miller, Jimmy Wu, Suneel Belkhale, Shivin Dass, Huy Ha, Arhan Jain, Abraham Lee, Youngwoon Lee, Marius Memmel, Sungjae Park, Ilija Radosavovic, Kaiyuan Wang, Albert Zhan, Kevin Black, Cheng Chi, Kyle Beltran Hatch, Shan Lin, Jingpei Lu, Jean Mercat, Abdul Rehman, Pannag R. Sanketi, Archit Sharma, Cody Simpson, Quan Vuong, Homer Rich Walke, Blake Wulfe, Ted Xiao, Jonathan Heewon Yang, Arefeh Yavary, Tony Z. Zhao, Christopher Agia, Rohan Baijal, Mateo Guaman Castro, Daphne Chen, Qiuyu Chen, Trinity Chung, Jaimyn Drake, Ethan Paul Foster, et al.:
DROID: A Large-Scale In-The-Wild Robot Manipulation Dataset. CoRR abs/2403.12945 (2024) - [i9]Jiale Amber Wang, Kaiyuan Wang, Pengyu Nie:
Efficient Incremental Code Coverage Analysis for Regression Test Suites. CoRR abs/2410.21798 (2024) - 2023
- [j6]Xiaobo Chen, Kaiyuan Wang, Zuoyong Li, Yu Zhang, Qiaolin Ye:
A Novel Nonconvex Low-Rank Tensor Completion Approach for Traffic Sensor Data Recovery From Incomplete Measurements. IEEE Trans. Instrum. Meas. 72: 1-15 (2023) - [c29]Changyu Luo, Shichao Chen, Kunfeng Wang, Xiangyu Hu, Kaiyuan Wang, Shuangshuang Han:
PCB Surface Defect Detection Based on TPBAS-YOLOv5. DTPI 2023: 1-6 - [c28]Kaiyuan Wang, Yun Yang, Ka Wai Eric Cheng:
Exploration of Four Coils Magnetically Coupled Resonant Inductive Power Transfer System with Efficiency Optimization Under Unsymmetrical Power Wiring Structure. IECON 2023: 1-5 - [c27]Xiangning Chen, Chen Liang, Da Huang, Esteban Real, Kaiyuan Wang, Hieu Pham, Xuanyi Dong, Thang Luong, Cho-Jui Hsieh, Yifeng Lu, Quoc V. Le:
Symbolic Discovery of Optimization Algorithms. NeurIPS 2023 - [i8]Xiangning Chen, Chen Liang, Da Huang, Esteban Real, Kaiyuan Wang, Yao Liu, Hieu Pham, Xuanyi Dong, Thang Luong, Cho-Jui Hsieh, Yifeng Lu, Quoc V. Le:
Symbolic Discovery of Optimization Algorithms. CoRR abs/2302.06675 (2023) - [i7]Fangbo Qin, Taogang Hou, Shan Lin, Kaiyuan Wang, Michael C. Yip, Shan Yu:
AnyOKP: One-Shot and Instance-Aware Object Keypoint Extraction with Pretrained ViT. CoRR abs/2309.08134 (2023) - [i6]Shan Lin, Albert J. Miao, Ali Alabiad, Fei Liu, Kaiyuan Wang, Jingpei Lu, Florian Richter, Michael C. Yip:
SuPerPM: A Large Deformation-Robust Surgical Perception Framework Based on Deep Point Matching Learned from Physical Constrained Simulation Data. CoRR abs/2309.13863 (2023) - 2022
- [j5]Marko Vasic, Andrija Petrovic, Kaiyuan Wang, Mladen Nikolic, Rishabh Singh, Sarfraz Khurshid:
MoËT: Mixture of Expert Trees and its application to verifiable reinforcement learning. Neural Networks 151: 34-47 (2022) - [j4]Pengju Deng, Kaiyuan Wang, Xiaohong Han:
Real-Time Object Detection Based on YOLO-v2 for Tiny Vehicle Object. SN Comput. Sci. 3(4): 329 (2022) - 2021
- [c26]Kaiyuan Wang, Daniel Rall, Greg Tener, Vijay Gullapalli, Xin Huang, Ahmed Gad:
Smart Build Targets Batching Service at Google. ICSE (SEIP) 2021: 160-169 - [c25]Tanvir Ahmed Khan, Allison Sullivan, Kaiyuan Wang:
AlloyFL: a fault localization framework for Alloy. ESEC/SIGSOFT FSE 2021: 1535-1539 - [i5]Kaiyuan Wang, Daniel Rall, Greg Tener, Vijay Gullapalli, Xin Huang, Ahmed Gad:
Smart Build Targets Batching Service at Google. CoRR abs/2102.09098 (2021) - 2020
- [j3]Muhammad Usman, Wenxi Wang, Kaiyuan Wang, Cagdas Yelen, Nima Dini, Sarfraz Khurshid:
A study of learning likely data structure properties using machine learning models. Int. J. Softw. Tools Technol. Transf. 22(5): 601-615 (2020) - [c24]Kaiyuan Wang, Allison Sullivan, Darko Marinov, Sarfraz Khurshid:
Fault Localization for Declarative Models in Alloy. ISSRE 2020: 391-402 - [c23]Kaiyuan Wang, Greg Tener, Vijay Gullapalli, Xin Huang, Ahmed Gad, Daniel Rall:
Scalable build service system with smart scheduling service. ISSTA 2020: 452-462 - [c22]Muhammad Usman, Wenxi Wang, Marko Vasic, Kaiyuan Wang, Haris Vikalo, Sarfraz Khurshid:
A study of the learnability of relational properties: model counting meets machine learning (MCML). PLDI 2020: 1098-1111 - [c21]Wenxi Wang, Muhammad Usman, Alyas Almaawi, Kaiyuan Wang, Kuldeep S. Meel, Sarfraz Khurshid:
A Study of Symmetry Breaking Predicates and Model Counting. TACAS (1) 2020: 115-134
2010 – 2019
- 2019
- [c20]Kaiyuan Wang, Allison Sullivan, Sarfraz Khurshid:
ARepair: a repair framework for alloy. ICSE (Companion Volume) 2019: 103-106 - [c19]Divya Gopinath, Corina S. Pasareanu, Kaiyuan Wang, Mengshi Zhang, Sarfraz Khurshid:
Symbolic execution for attribution and attack synthesis in neural networks. ICSE (Companion Volume) 2019: 282-283 - [c18]Wenxi Wang, Kaiyuan Wang, Mengshi Zhang, Sarfraz Khurshid:
Learning to Optimize the Alloy Analyzer. ICST 2019: 228-239 - [c17]Divya Gopinath, Mengshi Zhang, Kaiyuan Wang, Ismet Burak Kadron, Corina S. Pasareanu, Sarfraz Khurshid:
Symbolic Execution for Importance Analysis and Adversarial Generation in Neural Networks. ISSRE 2019: 313-322 - [c16]Tong Li, Kaiyuan Wang, Jennifer Horkoff:
Towards Effective Assessment for Social Engineering Attacks. RE 2019: 392-397 - [c15]Muhammad Usman, Wenxi Wang, Kaiyuan Wang, Cagdas Yelen, Nima Dini, Sarfraz Khurshid:
A Study of Learning Data Structure Invariants Using Off-the-shelf Tools. SPIN 2019: 226-243 - [c14]Wenxi Wang, Kaiyuan Wang, Milos Gligoric, Sarfraz Khurshid:
Incremental Analysis of Evolving Alloy Models. TACAS (1) 2019: 174-191 - [i4]Marko Vasic, Andrija Petrovic, Kaiyuan Wang, Mladen Nikolic, Rishabh Singh, Sarfraz Khurshid:
MoËT: Interpretable and Verifiable Reinforcement Learning via Mixture of Expert Trees. CoRR abs/1906.06717 (2019) - [i3]Muhammad Usman, Wenxi Wang, Kaiyuan Wang, Marko Vasic, Haris Vikalo, Sarfraz Khurshid:
A Study of the Learnability of Relational Properties (Model Counting Meets Machine Learning). CoRR abs/1912.11580 (2019) - 2018
- [j2]Kaiyuan Wang, Hayes Converse, Milos Gligoric, Sasa Misailovic, Sarfraz Khurshid:
A Progress Bar for the JPF Search Using Program Executions. ACM SIGSOFT Softw. Eng. Notes 43(4): 55 (2018) - [c13]Kaiyuan Wang, Allison Sullivan, Manos Koukoutos, Darko Marinov, Sarfraz Khurshid:
Systematic Generation of Non-equivalent Expressions for Relational Algebra. ABZ 2018: 105-120 - [c12]Kaiyuan Wang, Allison Sullivan, Darko Marinov, Sarfraz Khurshid:
Solver-Based Sketching of Alloy Models Using Test Valuations. ABZ 2018: 121-136 - [c11]Jinru Hua, Mengshi Zhang, Kaiyuan Wang, Sarfraz Khurshid:
Towards practical program repair with on-demand candidate generation. ICSE 2018: 12-23 - [c10]Kaiyuan Wang, Allison Sullivan, Sarfraz Khurshid:
MuAlloy: a mutation testing framework for alloy. ICSE (Companion Volume) 2018: 29-32 - [c9]Kaiyuan Wang, Chenguang Zhu, Ahmet Çelik, Jongwook Kim, Don S. Batory, Milos Gligoric:
Towards refactoring-aware regression test selection. ICSE 2018: 233-244 - [c8]Zijiang Yang, Jinru Hua, Kaiyuan Wang, Sarfraz Khurshid:
EdSynth: Synthesizing API Sequences with Conditionals and Loops. ICST 2018: 161-171 - [c7]Allison Sullivan, Kaiyuan Wang, Sarfraz Khurshid:
AUnit: A Test Automation Tool for Alloy. ICST 2018: 398-403 - [c6]Kaiyuan Wang, Allison Sullivan, Sarfraz Khurshid:
Automated model repair for Alloy. ASE 2018: 577-588 - [c5]Jinru Hua, Mengshi Zhang, Kaiyuan Wang, Sarfraz Khurshid:
SketchFix: a tool for automated program repair approach using lazy candidate generation. ESEC/SIGSOFT FSE 2018: 888-891 - [c4]Kaiyuan Wang, Allison Sullivan, Darko Marinov, Sarfraz Khurshid:
ASketch: a sketching framework for Alloy. ESEC/SIGSOFT FSE 2018: 916-919 - [i2]Kaiyuan Wang, Allison Sullivan, Darko Marinov, Sarfraz Khurshid:
Fault Localization for Declarative Models in Alloy. CoRR abs/1807.08707 (2018) - [i1]Divya Gopinath, Kaiyuan Wang, Mengshi Zhang, Corina S. Pasareanu, Sarfraz Khurshid:
Symbolic Execution for Deep Neural Networks. CoRR abs/1807.10439 (2018) - 2017
- [j1]Kaiyuan Wang, Sarfraz Khurshid, Milos Gligoric:
JPR: Replaying JPF Traces Using Standard JVM. ACM SIGSOFT Softw. Eng. Notes 42(4): 1-5 (2017) - [c3]Allison Sullivan, Kaiyuan Wang, Razieh Nokhbeh Zaeem, Sarfraz Khurshid:
Automated Test Generation and Mutation Testing for Alloy. ICST 2017: 264-275 - [c2]Allison Sullivan, Kaiyuan Wang, Sarfraz Khurshid, Darko Marinov:
Evaluating State Modeling Techniques in Alloy. SQAMIA 2017 - 2016
- [c1]Divya Gopinath, Kaiyuan Wang, Jinru Hua, Sarfraz Khurshid:
Repairing Intricate Faults in Code Using Machine Learning and Path Exploration. ICSME 2016: 453-457
Coauthor Index
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