Yifeng Lu

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 42

Top Topics

Top Venues

Proc. VLDB Endow.

Publications

Chengrun Yang, Xuezhi Wang, Yifeng Lu, Hanxiao Liu, Quoc V. Le, Denny Zhou, Xinyun Chen
Large Language Models as Optimizers. ICLR (2024)
Jerry Wei, Chengrun Yang, Xinying Song, Yifeng Lu, Nathan Hu, Dustin Tran, Daiyi Peng, Ruibo Liu, Da Huang, Cosmo Du, Quoc V. Le
Long-form factuality in large language models. CoRR (2024)
Yifeng Lu, Jinyong Wang, Dongsheng Wang, ChangKyoo Yoo, Hongbin Liu
Incorporating temporal multi-head self-attention convolutional networks and LightGBM for indoor air quality prediction. Appl. Soft Comput. 157 (2024)
Chengrun Yang, Xuezhi Wang, Yifeng Lu, Hanxiao Liu, Quoc V. Le, Denny Zhou, Xinyun Chen
Large Language Models as Optimizers. CoRR (2023)
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
Symbol tuning improves in-context learning in language models. EMNLP (2023)
Sang Michael Xie, Hieu Pham, Xuanyi Dong, Nan Du, Hanxiao Liu, Yifeng Lu, Percy S. Liang, Quoc V. Le, Tengyu Ma, Adams Wei Yu
DoReMi: Optimizing Data Mixtures Speeds Up Language Model Pretraining. NeurIPS (2023)
Jerry W. Wei, Da Huang, Yifeng Lu, Denny Zhou, Quoc V. Le
Simple synthetic data reduces sycophancy in large language models. CoRR (2023)
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
Hyperscale Hardware Optimized Neural Architecture Search. ASPLOS (3) (2023)
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)
Daiyi Peng, Xuanyi Dong, Esteban Real, Yifeng Lu, Quoc V. Le
PyGlove: Efficiently Exchanging ML Ideas as Code. CoRR (2023)
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
Brainformers: Trading Simplicity for Efficiency. ICML (2023)
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
Brainformers: Trading Simplicity for Efficiency. CoRR (2023)
Sang Michael Xie, Hieu Pham, Xuanyi Dong, Nan Du, Hanxiao Liu, Yifeng Lu, Percy Liang, Quoc V. Le, Tengyu Ma, Adams Wei Yu
DoReMi: Optimizing Data Mixtures Speeds Up Language Model Pretraining. CoRR (2023)
Jerry W. Wei, Le Hou, Andrew Lampinen, Xiangning Chen, Da Huang, Yi Tay, Xinyun Chen, Yifeng Lu, Denny Zhou, Tengyu Ma, Quoc V. Le
Symbol tuning improves in-context learning in language models. CoRR (2023)
Jerry W. Wei, Jason Wei, Yi Tay, Dustin Tran, Albert Webson, Yifeng Lu, Xinyun Chen, Hanxiao Liu, Da Huang, Denny Zhou, Tengyu Ma
Larger language models do in-context learning differently. CoRR (2023)
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 (2023)
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
DeepFusion: Lidar-Camera Deep Fusion for Multi-Modal 3D Object Detection. CoRR (2022)
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
DeepFusion: Lidar-Camera Deep Fusion for Multi-Modal 3D Object Detection. CVPR (2022)
Jialing Liu, Yifeng Lu
A Lightweight Foreign Object Debris Detection Algorithm for Airport Runway. CSSE (2022)
Chengrun Yang, Gabriel Bender, Hanxiao Liu, Pieter-Jan Kindermans, Madeleine Udell, Yifeng Lu, Quoc V. Le, Da Huang
TabNAS: Rejection Sampling for Neural Architecture Search on Tabular Datasets. NeurIPS (2022)
Chengrun Yang, Gabriel Bender, Hanxiao Liu, Pieter-Jan Kindermans, Madeleine Udell, Yifeng Lu, Quoc V. Le, Da Huang
Resource-Constrained Neural Architecture Search on Tabular Datasets. CoRR (2022)
Bo Wang, Zhenyu Hou, Yangyu Tao, Yifeng Lu, Chao Li, Tao Guan, Xiaowei Jiang, Jinlei Jiang
Swift: Reliable and Low-Latency Data Processing at Cloud Scale. ICDE (2021)
Daiyi Peng, Xuanyi Dong, Esteban Real, Mingxing Tan, Yifeng Lu, Hanxiao Liu, Gabriel Bender, Adam Kraft, Chen Liang, Quoc V. Le
PyGlove: Symbolic Programming for Automated Machine Learning. CoRR (2021)
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
Fangorn: Adaptive Execution Framework for Heterogeneous Workloads on Shared Clusters. Proc. VLDB Endow. 14 (12) (2021)
Yifeng Lu, Yao Zhang, Florian Richter, Thomas Seidl
k-Nearest Neighbor based Clustering with Shape Alternation Adaptivity. IJCNN (2020)
Daiyi Peng, Xuanyi Dong, Esteban Real, Mingxing Tan, Yifeng Lu, Gabriel Bender, Hanxiao Liu, Adam Kraft, Chen Liang, Quoc Le
PyGlove: Symbolic Programming for Automated Machine Learning. NeurIPS (2020)
Yao Zhang, Yifeng Lu, Thomas Seidl
KNNAC: An Efficient k Nearest Neighbor Based Clustering with Active Core Detection. iiWAS (2020)
Florian Richter, Yifeng Lu, Daniyal Kazempour, Thomas Seidl
AMTICS: Aligning Micro-clusters to Identify Cluster Structures. DASFAA (1) (2020)
Florian Richter, Yifeng Lu, Daniyal Kazempour, Thomas Seidl
"Show Me the Crowds!" Revealing Cluster Structures Through AMTICS. Data Sci. Eng. 5 (4) (2020)
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
Towards a Human-like Open-Domain Chatbot. CoRR (2020)
Florian Richter, Yifeng Lu, Ludwig Zellner, Janina Sontheim, Thomas Seidl
TOAD: Trace Ordering for Anomaly Detection. ICPM (2020)
Yifeng Lu, Florian Richter, Thomas Seidl
LSCMiner: Efficient Low Support Closed Itemsets Mining. WISE (2019)
Catherine Wong, Neil Houlsby, Yifeng Lu, Andrea Gesmundo
Transfer Automatic Machine Learning. CoRR (2018)
Yifeng Lu, Thomas Seidl
Towards Efficient Closed Infrequent Itemset Mining Using Bi-Directional Traversing. DSAA (2018)
Catherine Wong, Neil Houlsby, Yifeng Lu, Andrea Gesmundo
Transfer Learning with Neural AutoML. NeurIPS (2018)
Yihui Cao, Yifeng Lu, Qinhua Jin, Jing Jing, Yundai Chen, Jianan Li, Rui Zhu
Deep Learning-Based Detection and Segmentation for BVS Struts in IVOCT Images. CVII-STENT/LABELS@MICCAI (2018)
Yifeng Lu, Florian Richter, Thomas Seidl
Efficient Infrequent Itemset Mining Using Depth-First and Top-Down Lattice Traversal. DASFAA (1) (2018)
Yihui Cao, Yifeng Lu, Jianan Li, Rui Zhu, Qinhua Jin, Jing Jing, Yundai Chen
Deep Learning Based Bioresorbable Vascular Scaffolds Detection in IVOCT Images. ICPR (2018)
Yifeng Lu, Yihui Cao, Qinhua Jin, Yundai Chen, Qinye Yin, Jianan Li, Rui Zhu, Wei Zhao
Adaboost-based detection and segmentation of bioresorbable vascular scaffolds struts in IVOCT images. ICIP (2017)
Yifeng Lu, Marwan Hassani, Thomas Seidl
Incremental Temporal Pattern Mining Using Efficient Batch-Free Stream Clustering. SSDBM (2017)
Marwan Hassani, Yifeng Lu, Thomas Seidl
Towards an Efficient Ranking of Interval-Based Patterns. EDBT (2016)
Marwan Hassani, Yifeng Lu, Jens Wischnewsky, Thomas Seidl
A geometric approach for mining sequential patterns in interval-based data streams. FUZZ-IEEE (2016)
Yifeng Lu, Yinghong Cao, J. Gregory McDaniel, Ming L. Wang
Particle Displacement. ISPRS Int. J. Geo Inf. 4 (4) (2015)
Yifeng Lu, Yi Zhang, Yinghong Cao, J. Gregory McDaniel, Ming L. Wang
A Mobile Acoustic Subsurface Sensing (MASS) System for Rapid Roadway Assessment. Sensors 13 (5) (2013)
Yunkai Gao, Xiaolong Li, Bin Yang, Yifeng Lu
Detecting LSB matching by characterizing the amplitude of histogram. ICASSP (2009)
Yifeng Lu, Xiaolong Li, Bin Yang
A Secure Steganography: Noisy Region Embedding. IIH-MSP (2009)
Yifeng Lu, Xiaolong Li, Bin Yang
A ±1-Based Steganography by Minimizing the Distortion of First Order Statistics. IIH-MSP (2009)