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2020 – today
- 2024
[j6]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: 111569 (2024)- [j5]Yifeng Lu, Jinyong Wang, Tianlong Liu, ChangKyoo Yoo, Hongbin Liu:
Integration of Dynamic Slow Feature Analysis and Deep Neural Networks for Subway Indoor PM₂.₅ Prediction. IEEE Trans. Instrum. Meas. 73: 1-9 (2024) - [c28]Chengrun Yang, Xuezhi Wang, Yifeng Lu, Hanxiao Liu, Quoc V. Le, Denny Zhou, Xinyun Chen:
Large Language Models as Optimizers. ICLR 2024 - [i15]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 abs/2403.18802 (2024) - [i14]Kiran Vodrahalli, Santiago Ontanon, Nilesh Tripuraneni, Kelvin Xu, Sanil Jain, Rakesh Shivanna, Jeffrey Hui, Nishanth Dikkala, Mehran Kazemi, Bahare Fatemi, Rohan Anil, Ethan Dyer, Siamak Shakeri, Roopali Vij, Harsh Mehta, Vinay V. Ramasesh, Quoc Le, Ed H. Chi, Yifeng Lu, Orhan Firat, Angeliki Lazaridou, Jean-Baptiste Lespiau, Nithya Attaluri, Kate Olszewska:
Michelangelo: Long Context Evaluations Beyond Haystacks via Latent Structure Queries. CoRR abs/2409.12640 (2024) - 2023
- [c27]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: 343-358 - [c26]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: 968-979 - [c25]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: 42531-42542 - [c24]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 - [c23]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. NeurIPS 2023 - [i13]Daiyi Peng, Xuanyi Dong, Esteban Real, Yifeng Lu, Quoc V. Le:
PyGlove: Efficiently Exchanging ML Ideas as Code. CoRR abs/2302.01918 (2023) - [i12]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) - [i11]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 abs/2303.03846 (2023) - [i10]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. CoRR abs/2305.08298 (2023) - [i9]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 abs/2305.10429 (2023) - [i8]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 abs/2306.00008 (2023) - [i7]Jerry W. Wei, Da Huang, Yifeng Lu, Denny Zhou, Quoc V. Le:
Simple synthetic data reduces sycophancy in large language models. CoRR abs/2308.03958 (2023) - [i6]Chengrun Yang, Xuezhi Wang, Yifeng Lu, Hanxiao Liu, Quoc V. Le, Denny Zhou, Xinyun Chen:
Large Language Models as Optimizers. CoRR abs/2309.03409 (2023) - 2022
- [c22]Jialing Liu, Yifeng Lu:
A Lightweight Foreign Object Debris Detection Algorithm for Airport Runway. CSSE 2022: 451-455 - [c21]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: 17161-17170 - [c20]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 - [i5]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 abs/2203.08195 (2022) - [i4]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 abs/2204.07615 (2022) - 2021
- [b1]Yifeng Lu:
Pattern mining under different conditions. Ludwig Maximilian University of Munich, Germany, 2021 - [j4]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): 2972-2985 (2021) - [c19]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: 2387-2398 - [i3]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 abs/2101.08809 (2021) - 2020
- [j3]Florian Richter, Yifeng Lu, Daniyal Kazempour, Thomas Seidl:
"Show Me the Crowds!" Revealing Cluster Structures Through AMTICS. Data Sci. Eng. 5(4): 360-374 (2020) - [c18]Florian Richter, Yifeng Lu, Daniyal Kazempour, Thomas Seidl:
AMTICS: Aligning Micro-clusters to Identify Cluster Structures. DASFAA (1) 2020: 752-768 - [c17]Florian Richter, Yifeng Lu, Ludwig Zellner, Janina Sontheim, Thomas Seidl:
TOAD: Trace Ordering for Anomaly Detection. ICPM 2020: 169-176 - [c16]Yao Zhang, Yifeng Lu, Thomas Seidl:
KNNAC: An Efficient k Nearest Neighbor Based Clustering with Active Core Detection. iiWAS 2020: 62-71 - [c15]Yifeng Lu, Yao Zhang, Florian Richter, Thomas Seidl:
k-Nearest Neighbor based Clustering with Shape Alternation Adaptivity. IJCNN 2020: 1-8 - [c14]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 - [p1]Yifeng Lu, Florian Richter, Thomas Seidl:
Efficient Infrequent Pattern Mining Using Negative Itemset Tree. Complex Pattern Mining 2020: 1-16 - [i2]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 abs/2001.09977 (2020)
2010 – 2019
- 2019
- [c13]Yifeng Lu, Florian Richter, Thomas Seidl:
LSCMiner: Efficient Low Support Closed Itemsets Mining. WISE 2019: 293-309 - 2018
- [c12]Yifeng Lu, Florian Richter, Thomas Seidl:
Efficient Infrequent Itemset Mining Using Depth-First and Top-Down Lattice Traversal. DASFAA (1) 2018: 908-915 - [c11]Yifeng Lu, Thomas Seidl:
Towards Efficient Closed Infrequent Itemset Mining Using Bi-Directional Traversing. DSAA 2018: 140-149 - [c10]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: 3778-3783 - [c9]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: 55-63 - [c8]Catherine Wong, Neil Houlsby, Yifeng Lu, Andrea Gesmundo:
Transfer Learning with Neural AutoML. NeurIPS 2018: 8366-8375 - [i1]Catherine Wong, Neil Houlsby, Yifeng Lu, Andrea Gesmundo:
Transfer Automatic Machine Learning. CoRR abs/1803.02780 (2018) - 2017
- [c7]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: 4432-4436 - [c6]Yifeng Lu, Marwan Hassani, Thomas Seidl:
Incremental Temporal Pattern Mining Using Efficient Batch-Free Stream Clustering. SSDBM 2017: 7:1-7:12 - 2016
- [c5]Marwan Hassani, Yifeng Lu, Thomas Seidl:
Towards an Efficient Ranking of Interval-Based Patterns. EDBT 2016: 688-689 - [c4]Marwan Hassani, Yifeng Lu, Jens Wischnewsky, Thomas Seidl:
A geometric approach for mining sequential patterns in interval-based data streams. FUZZ-IEEE 2016: 2128-2135 - 2015
- [j2]Yifeng Lu, Yinghong Cao, J. Gregory McDaniel, Ming L. Wang:
Fast Inversion of Air-Coupled Spectral Analysis of Surface Wave (SASW) Using in situ Particle Displacement. ISPRS Int. J. Geo Inf. 4(4): 2619-2637 (2015) - 2013
- [j1]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): 5881-5896 (2013)
2000 – 2009
- 2009
- [c3]Yunkai Gao, Xiaolong Li, Bin Yang, Yifeng Lu:
Detecting LSB matching by characterizing the amplitude of histogram. ICASSP 2009: 1505-1508 - [c2]Yifeng Lu, Xiaolong Li, Bin Yang:
A ±1-Based Steganography by Minimizing the Distortion of First Order Statistics. IIH-MSP 2009: 754-758 - [c1]Yifeng Lu, Xiaolong Li, Bin Yang:
A Secure Steganography: Noisy Region Embedding. IIH-MSP 2009: 1046-1051
Coauthor Index
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last updated on 2024-10-30 20:35 CET by the dblp team
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