Yifeng Lu

56 papers A* 11B 9C 1Misc 1Journal 25Unranked 7
YearRankTypeTitle / Venue / Authors
2025 J jnl
A Three-Stage Prediction Model Based on Transformer for Chronic Kidney Disease.
Concurr. Comput. Pract. Exp.
Yifeng Lu, Wenxiu Chang, Deyao Yang, Yuxuan Jiang
2025 J jnl
ReDiSC: A Reparameterized Masked Diffusion Model for Scalable Node Classification with Structured Predictions.
CoRR
Yule Li, Yifeng Lu, Zhen Wang, Zhewei Wei, Yaliang Li, Bolin Ding
2025 J jnl
Rethinking generative image pretraining: How far are we from scaling up next-pixel prediction?
CoRR
Xinchen Yan, Chen Liang, Lijun Yu, Adams Wei Yu, Yifeng Lu, Quoc V. Le
2025 J jnl
Type-Compliant Adaptation Cascades: Adapting Programmatic LM Workflows to Data.
CoRR
Chu-Cheng Lin, Daiyi Peng, Yifeng Lu, Ming Zhang, Eugene Ie
2024 J jnl
Incorporating temporal multi-head self-attention convolutional networks and LightGBM for indoor air quality prediction.
Appl. Soft Comput.
Yifeng Lu, Jinyong Wang, Dongsheng Wang, ChangKyoo Yoo, Hongbin Liu
2024 J jnl
Integration of Dynamic Slow Feature Analysis and Deep Neural Networks for Subway Indoor PM₂.₅ Prediction.
IEEE Trans. Instrum. Meas.
Yifeng Lu, Jinyong Wang, Tianlong Liu, ChangKyoo Yoo, Hongbin Liu
2024 A* conf
Large Language Models as Optimizers.
ICLR
Chengrun Yang, Xuezhi Wang, Yifeng Lu, Hanxiao Liu, Quoc V. Le, Denny Zhou, Xinyun Chen
2024 A* conf
Long-form factuality in large language models.
NeurIPS
Jerry Wei, Chengrun Yang, Xinying Song, Yifeng Lu, Nathan Hu, Jie Huang, Dustin Tran, Daiyi Peng, Ruibo Liu, Da Huang, Cosmo Du, Quoc V. Le
2024 J jnl
Long-form factuality in large language models.
CoRR
Jerry Wei, Chengrun Yang, Xinying Song, Yifeng Lu, Nathan Hu, Dustin Tran, Daiyi Peng, Ruibo Liu, Da Huang, Cosmo Du, Quoc V. Le
2024 J jnl
Michelangelo: Long Context Evaluations Beyond Haystacks via Latent Structure Queries.
CoRR
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
2023 A* conf
Brainformers: Trading Simplicity for Efficiency.
ICML
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
2023 J jnl
Brainformers: Trading Simplicity for Efficiency.
CoRR
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
2023 A* conf
DoReMi: Optimizing Data Mixtures Speeds Up Language Model Pretraining.
NeurIPS
Sang Michael Xie, Hieu Pham, Xuanyi Dong, Nan Du, Hanxiao Liu, Yifeng Lu, Percy Liang, Quoc V. Le, Tengyu Ma, Adams Wei Yu
2023 J jnl
DoReMi: Optimizing Data Mixtures Speeds Up Language Model Pretraining.
CoRR
Sang Michael Xie, Hieu Pham, Xuanyi Dong, Nan Du, Hanxiao Liu, Yifeng Lu, Percy Liang, Quoc V. Le, Tengyu Ma, Adams Wei Yu
2023 — conf
Hyperscale Hardware Optimized Neural Architecture Search.
ASPLOS (3)
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
2023 J jnl
Large Language Models as Optimizers.
CoRR
Chengrun Yang, Xuezhi Wang, Yifeng Lu, Hanxiao Liu, Quoc V. Le, Denny Zhou, Xinyun Chen
2023 J jnl
Larger language models do in-context learning differently.
CoRR
Jerry W. Wei, Jason Wei, Yi Tay, Dustin Tran, Albert Webson, Yifeng Lu, Xinyun Chen, Hanxiao Liu, Da Huang, Denny Zhou, Tengyu Ma
2023 J jnl
PyGlove: Efficiently Exchanging ML Ideas as Code.
CoRR
Daiyi Peng, Xuanyi Dong, Esteban Real, Yifeng Lu, Quoc V. Le
2023 J jnl
Simple synthetic data reduces sycophancy in large language models.
CoRR
Jerry W. Wei, Da Huang, Yifeng Lu, Denny Zhou, Quoc V. Le
2023 A* conf
Symbol tuning improves in-context learning in language models.
EMNLP
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
2023 J jnl
Symbol tuning improves in-context learning in language models.
CoRR
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
2023 A* conf
Symbolic Discovery of Optimization Algorithms.
NeurIPS
Xiangning Chen, Chen Liang, Da Huang, Esteban Real, Kaiyuan Wang, Hieu Pham, Xuanyi Dong, Thang Luong, Cho-Jui Hsieh, Yifeng Lu, Quoc V. Le
2023 J jnl
Symbolic Discovery of Optimization Algorithms.
CoRR
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
2022 — conf
A Lightweight Foreign Object Debris Detection Algorithm for Airport Runway.
CSSE
Jialing Liu, Yifeng Lu
2022 A* conf
DeepFusion: Lidar-Camera Deep Fusion for Multi-Modal 3D Object Detection.
CVPR
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
2022 J jnl
DeepFusion: Lidar-Camera Deep Fusion for Multi-Modal 3D Object Detection.
CoRR
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
2022 J jnl
Resource-Constrained Neural Architecture Search on Tabular Datasets.
CoRR
Chengrun Yang, Gabriel Bender, Hanxiao Liu, Pieter-Jan Kindermans, Madeleine Udell, Yifeng Lu, Quoc V. Le, Da Huang
2022 A* conf
TabNAS: Rejection Sampling for Neural Architecture Search on Tabular Datasets.
NeurIPS
Chengrun Yang, Gabriel Bender, Hanxiao Liu, Pieter-Jan Kindermans, Madeleine Udell, Yifeng Lu, Quoc V. Le, Da Huang
2021 J jnl
Fangorn: Adaptive Execution Framework for Heterogeneous Workloads on Shared Clusters.
Proc. VLDB Endow.
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
2021 — —
Pattern mining under different conditions.
Yifeng Lu
2021 J jnl
PyGlove: Symbolic Programming for Automated Machine Learning.
CoRR
Daiyi Peng, Xuanyi Dong, Esteban Real, Mingxing Tan, Yifeng Lu, Hanxiao Liu, Gabriel Bender, Adam Kraft, Chen Liang, Quoc V. Le
2021 A* conf
Swift: Reliable and Low-Latency Data Processing at Cloud Scale.
ICDE
Bo Wang, Zhenyu Hou, Yangyu Tao, Yifeng Lu, Chao Li, Tao Guan, Xiaowei Jiang, Jinlei Jiang
2020 J jnl
"Show Me the Crowds!" Revealing Cluster Structures Through AMTICS.
Data Sci. Eng.
Florian Richter, Yifeng Lu, Daniyal Kazempour, Thomas Seidl
2020 — conf
AMTICS: Aligning Micro-clusters to Identify Cluster Structures.
DASFAA (1)
Florian Richter, Yifeng Lu, Daniyal Kazempour, Thomas Seidl
2020 — ch.
Efficient Infrequent Pattern Mining Using Negative Itemset Tree.
Complex Pattern Mining
Yifeng Lu, Florian Richter, Thomas Seidl
2020 C conf
KNNAC: An Efficient k Nearest Neighbor Based Clustering with Active Core Detection.
iiWAS
Yao Zhang, Yifeng Lu, Thomas Seidl
2020 A* conf
PyGlove: Symbolic Programming for Automated Machine Learning.
NeurIPS
Daiyi Peng, Xuanyi Dong, Esteban Real, Mingxing Tan, Yifeng Lu, Gabriel Bender, Hanxiao Liu, Adam Kraft, Chen Liang, Quoc Le
2020 B conf
TOAD: Trace Ordering for Anomaly Detection.
ICPM
Florian Richter, Yifeng Lu, Ludwig Zellner, Janina Sontheim, Thomas Seidl
2020 J jnl
Towards a Human-like Open-Domain Chatbot.
CoRR
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
2020 B conf
k-Nearest Neighbor based Clustering with Shape Alternation Adaptivity.
IJCNN
Yifeng Lu, Yao Zhang, Florian Richter, Thomas Seidl
2019 B conf
LSCMiner: Efficient Low Support Closed Itemsets Mining.
WISE
Yifeng Lu, Florian Richter, Thomas Seidl
2018 B conf
Deep Learning Based Bioresorbable Vascular Scaffolds Detection in IVOCT Images.
ICPR
Yihui Cao, Yifeng Lu, Jianan Li, Rui Zhu, Qinhua Jin, Jing Jing, Yundai Chen
2018 — conf
Deep Learning-Based Detection and Segmentation for BVS Struts in IVOCT Images.
CVII-STENT/LABELS@MICCAI
Yihui Cao, Yifeng Lu, Qinhua Jin, Jing Jing, Yundai Chen, Jianan Li, Rui Zhu
2018 — conf
Efficient Infrequent Itemset Mining Using Depth-First and Top-Down Lattice Traversal.
DASFAA (1)
Yifeng Lu, Florian Richter, Thomas Seidl
2018 B conf
Towards Efficient Closed Infrequent Itemset Mining Using Bi-Directional Traversing.
DSAA
Yifeng Lu, Thomas Seidl
2018 J jnl
Transfer Automatic Machine Learning.
CoRR
Catherine Wong, Neil Houlsby, Yifeng Lu, Andrea Gesmundo
2018 A* conf
Transfer Learning with Neural AutoML.
NeurIPS
Catherine Wong, Neil Houlsby, Yifeng Lu, Andrea Gesmundo
2017 B conf
Adaboost-based detection and segmentation of bioresorbable vascular scaffolds struts in IVOCT images.
ICIP
Yifeng Lu, Yihui Cao, Qinhua Jin, Yundai Chen, Qinye Yin, Jianan Li, Rui Zhu, Wei Zhao
2017 B conf
Incremental Temporal Pattern Mining Using Efficient Batch-Free Stream Clustering.
SSDBM
Yifeng Lu, Marwan Hassani, Thomas Seidl
2016 B conf
A geometric approach for mining sequential patterns in interval-based data streams.
FUZZ-IEEE
Marwan Hassani, Yifeng Lu, Jens Wischnewsky, Thomas Seidl
2016 B conf
Towards an Efficient Ranking of Interval-Based Patterns.
EDBT
Marwan Hassani, Yifeng Lu, Thomas Seidl
2015 J jnl
Fast Inversion of Air-Coupled Spectral Analysis of Surface Wave (SASW) Using
ISPRS Int. J. Geo Inf.
Yifeng Lu, Yinghong Cao, J. Gregory McDaniel, Ming L. Wang
2013 J jnl
A Mobile Acoustic Subsurface Sensing (MASS) System for Rapid Roadway Assessment.
Sensors
Yifeng Lu, Yi Zhang, Yinghong Cao, J. Gregory McDaniel, Ming L. Wang
2009 — conf
A Secure Steganography: Noisy Region Embedding.
IIH-MSP
Yifeng Lu, Xiaolong Li, Bin Yang
2009 — conf
A ±1-Based Steganography by Minimizing the Distortion of First Order Statistics.
IIH-MSP
Yifeng Lu, Xiaolong Li, Bin Yang
2009 Misc conf
Detecting LSB matching by characterizing the amplitude of histogram.
ICASSP
Yunkai Gao, Xiaolong Li, Bin Yang, Yifeng Lu