Yifeng Lu

According to our database, Yifeng Lu authored at least 43 papers between 2009 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Long-form factuality in large language models.

Jerry Wei, Chengrun Yang, Xinying Song, Yifeng Lu, Nathan Hu, Dustin Tran, Daiyi Peng, Ruibo Liu, Da Huang, Cosmo Du, Quoc V. Le

CoRR, 2024

2023

Large Language Models as Optimizers.

Chengrun Yang, Xuezhi Wang, Yifeng Lu, Hanxiao Liu, Quoc V. Le, Denny Zhou, Xinyun Chen

CoRR, 2023

Simple synthetic data reduces sycophancy in large language models.

Jerry W. Wei, Da Huang, Yifeng Lu, Denny Zhou, Quoc V. Le

CoRR, 2023

Larger language models do in-context learning differently.

Jerry W. Wei, Jason Wei, Yi Tay, Dustin Tran, Albert Webson, Yifeng Lu, Xinyun Chen, Hanxiao Liu, Da Huang, Denny Zhou, Tengyu Ma

CoRR, 2023

Symbolic Discovery of Optimization Algorithms.

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

CoRR, 2023

PyGlove: Efficiently Exchanging ML Ideas as Code.

Daiyi Peng, Xuanyi Dong, Esteban Real, Yifeng Lu, Quoc V. Le

CoRR, 2023

DoReMi: Optimizing Data Mixtures Speeds Up Language Model Pretraining.

Sang Michael Xie, Hieu Pham, Xuanyi Dong, Nan Du, Hanxiao Liu, Yifeng Lu, Percy Liang, Quoc V. Le, Tengyu Ma, Adams Wei Yu

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Symbolic Discovery of Optimization Algorithms.

Xiangning Chen, Chen Liang, Da Huang, Esteban Real, Kaiyuan Wang, Hieu Pham, Xuanyi Dong, Thang Luong, Cho-Jui Hsieh, Yifeng Lu, Quoc V. Le

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Brainformers: Trading Simplicity for Efficiency.

Yanqi Zhou, Nan Du, Yanping Huang, Daiyi Peng, Chang Lan, Da Huang, Siamak Shakeri, David R. So, Andrew M. Dai, Yifeng Lu, Zhifeng Chen, Quoc V. Le, Claire Cui, James Laudon, Jeff Dean

Proceedings of the International Conference on Machine Learning, 2023

Symbol tuning improves in-context learning in language models.

Jerry W. Wei, Le Hou, Andrew K. Lampinen, Xiangning Chen, Da Huang, Yi Tay, Xinyun Chen, Yifeng Lu, Denny Zhou, Tengyu Ma, Quoc V. Le

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Hyperscale Hardware Optimized Neural Architecture Search.

Sheng Li, Garrett Andersen, Tao Chen, Liqun Cheng, Julian Grady, Da Huang, Quoc V. Le, Andrew Li, Xin Li, Yang Li, Chen Liang, Yifeng Lu, Yun Ni, Ruoming Pang, Mingxing Tan, Martin Wicke, Gang Wu, Shengqi Zhu, Parthasarathy Ranganathan, Norman P. Jouppi

Proceedings of the 28th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2023

2022

Resource-Constrained Neural Architecture Search on Tabular Datasets.

Chengrun Yang, Gabriel Bender, Hanxiao Liu, Pieter-Jan Kindermans, Madeleine Udell, Yifeng Lu, Quoc V. Le, Da Huang

CoRR, 2022

DeepFusion: Lidar-Camera Deep Fusion for Multi-Modal 3D Object Detection.

Yingwei Li, Adams Wei Yu, Tianjian Meng, Benjamin Caine, Jiquan Ngiam, Daiyi Peng, Junyang Shen, Bo Wu, Yifeng Lu, Denny Zhou, Quoc V. Le, Alan L. Yuille, Mingxing Tan

CoRR, 2022

TabNAS: Rejection Sampling for Neural Architecture Search on Tabular Datasets.

Chengrun Yang, Gabriel Bender, Hanxiao Liu, Pieter-Jan Kindermans, Madeleine Udell, Yifeng Lu, Quoc V. Le, Da Huang

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

DeepFusion: Lidar-Camera Deep Fusion for Multi-Modal 3D Object Detection.

Yingwei Li, Adams Wei Yu, Tianjian Meng, Benjamin Caine, Jiquan Ngiam, Daiyi Peng, Junyang Shen, Yifeng Lu, Denny Zhou, Quoc V. Le, Alan L. Yuille, Mingxing Tan

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

A Lightweight Foreign Object Debris Detection Algorithm for Airport Runway.

Jialing Liu, Yifeng Lu

Proceedings of the 5th International Conference on Computer Science and Software Engineering, 2022

2021

Pattern mining under different conditions.

Yifeng Lu

PhD thesis, 2021

Fangorn: Adaptive Execution Framework for Heterogeneous Workloads on Shared Clusters.

Yingda Chen, Jiamang Wang, Yifeng Lu, Ying Han, Zhiqiang Lv, Xuebin Min, Hua Cai, Wei Zhang, Haochuan Fan, Chao Li, Tao Guan, Wei Lin, Yangqing Jia, Jingren Zhou

Proc. VLDB Endow., 2021

Swift: Reliable and Low-Latency Data Processing at Cloud Scale.

Bo Wang, Zhenyu Hou, Yangyu Tao, Yifeng Lu, Chao Li, Tao Guan, Xiaowei Jiang, Jinlei Jiang

Proceedings of the 37th IEEE International Conference on Data Engineering, 2021

2020

Efficient Infrequent Pattern Mining Using Negative Itemset Tree.

Yifeng Lu, Florian Richter, Thomas Seidl

Proceedings of the Complex Pattern Mining - New Challenges, Methods and Applications, 2020

"Show Me the Crowds!" Revealing Cluster Structures Through AMTICS.

Florian Richter, Yifeng Lu, Daniyal Kazempour, Thomas Seidl

Data Sci. Eng., 2020

Towards a Human-like Open-Domain Chatbot.

Daniel Adiwardana, Minh-Thang Luong, David R. So, Jamie Hall, Noah Fiedel, Romal Thoppilan, Zi Yang, Apoorv Kulshreshtha, Gaurav Nemade, Yifeng Lu, Quoc V. Le

CoRR, 2020

PyGlove: Symbolic Programming for Automated Machine Learning.

Daiyi Peng, Xuanyi Dong, Esteban Real, Mingxing Tan, Yifeng Lu, Gabriel Bender, Hanxiao Liu, Adam Kraft, Chen Liang, Quoc Le

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

k-Nearest Neighbor based Clustering with Shape Alternation Adaptivity.

Yifeng Lu, Yao Zhang, Florian Richter, Thomas Seidl

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

KNNAC: An Efficient k Nearest Neighbor Based Clustering with Active Core Detection.

Yao Zhang, Yifeng Lu, Thomas Seidl

Proceedings of the iiWAS '20: The 22nd International Conference on Information Integration and Web-based Applications & Services, Virtual Event / Chiang Mai, Thailand, November 30, 2020

TOAD: Trace Ordering for Anomaly Detection.

Florian Richter, Yifeng Lu, Ludwig Zellner, Janina Sontheim, Thomas Seidl

Proceedings of the 2nd International Conference on Process Mining, 2020

AMTICS: Aligning Micro-clusters to Identify Cluster Structures.

Florian Richter, Yifeng Lu, Daniyal Kazempour, Thomas Seidl

Proceedings of the Database Systems for Advanced Applications, 2020

2019

LSCMiner: Efficient Low Support Closed Itemsets Mining.

Yifeng Lu, Florian Richter, Thomas Seidl

Proceedings of the Web Information Systems Engineering - WISE 2019, 2019

2018

Transfer Automatic Machine Learning.

Catherine Wong, Neil Houlsby, Yifeng Lu, Andrea Gesmundo

CoRR, 2018

Transfer Learning with Neural AutoML.

Catherine Wong, Neil Houlsby, Yifeng Lu, Andrea Gesmundo

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Deep Learning-Based Detection and Segmentation for BVS Struts in IVOCT Images.

Yihui Cao, Yifeng Lu, Qinhua Jin, Jing Jing, Yundai Chen, Jianan Li, Rui Zhu

Proceedings of the Intravascular Imaging and Computer Assisted Stenting - and - Large-Scale Annotation of Biomedical Data and Expert Label Synthesis, 2018

Deep Learning Based Bioresorbable Vascular Scaffolds Detection in IVOCT Images.

Yihui Cao, Yifeng Lu, Jianan Li, Rui Zhu, Qinhua Jin, Jing Jing, Yundai Chen

Proceedings of the 24th International Conference on Pattern Recognition, 2018

Towards Efficient Closed Infrequent Itemset Mining Using Bi-Directional Traversing.

Yifeng Lu, Thomas Seidl

Proceedings of the 5th IEEE International Conference on Data Science and Advanced Analytics, 2018

Efficient Infrequent Itemset Mining Using Depth-First and Top-Down Lattice Traversal.

Yifeng Lu, Florian Richter, Thomas Seidl

Proceedings of the Database Systems for Advanced Applications, 2018

2017

Incremental Temporal Pattern Mining Using Efficient Batch-Free Stream Clustering.

Yifeng Lu, Marwan Hassani, Thomas Seidl

Proceedings of the 29th International Conference on Scientific and Statistical Database Management, 2017

Adaboost-based detection and segmentation of bioresorbable vascular scaffolds struts in IVOCT images.

Yifeng Lu, Yihui Cao, Qinhua Jin, Yundai Chen, Qinye Yin, Jianan Li, Rui Zhu, Wei Zhao

Proceedings of the 2017 IEEE International Conference on Image Processing, 2017

2016

A geometric approach for mining sequential patterns in interval-based data streams.

Marwan Hassani, Yifeng Lu, Jens Wischnewsky, Thomas Seidl

Proceedings of the 2016 IEEE International Conference on Fuzzy Systems, 2016

Towards an Efficient Ranking of Interval-Based Patterns.

Marwan Hassani, Yifeng Lu, Thomas Seidl

Proceedings of the 19th International Conference on Extending Database Technology, 2016

2015

Fast Inversion of Air-Coupled Spectral Analysis of Surface Wave (SASW) Using <i>in situ</i> Particle Displacement.

Yifeng Lu, Yinghong Cao, J. Gregory McDaniel, Ming L. Wang

ISPRS Int. J. Geo Inf., 2015

2013

A Mobile Acoustic Subsurface Sensing (MASS) System for Rapid Roadway Assessment.

Yifeng Lu, Yi Zhang, Yinghong Cao, J. Gregory McDaniel, Ming L. Wang

Sensors, 2013

2009

A Secure Steganography: Noisy Region Embedding.

Yifeng Lu, Xiaolong Li, Bin Yang

Proceedings of the Fifth International Conference on Intelligent Information Hiding and Multimedia Signal Processing (IIH-MSP 2009), 2009

A ±1-Based Steganography by Minimizing the Distortion of First Order Statistics.

Yifeng Lu, Xiaolong Li, Bin Yang

Proceedings of the Fifth International Conference on Intelligent Information Hiding and Multimedia Signal Processing (IIH-MSP 2009), 2009

Detecting LSB matching by characterizing the amplitude of histogram.

Yunkai Gao, Xiaolong Li, Bin Yang, Yifeng Lu

Proceedings of the IEEE International Conference on Acoustics, 2009