Felix X. Yu

99 papers A* 32A 4B 1C 1Journal 50Unranked 10
YearRankTypeTitle / Venue / Authors
2025 A* conf
Bipartite Ranking From Multiple Labels: On Loss Versus Label Aggregation.
ICML
Michal Lukasik, Lin Chen, Harikrishna Narasimhan, Aditya Krishna Menon, Wittawat Jitkrittum, Felix X. Yu, Sashank J. Reddi, Gang Fu, MohammadHossein Bateni, Sanjiv Kumar
2025 J jnl
Bipartite Ranking From Multiple Labels: On Loss Versus Label Aggregation.
CoRR
Michal Lukasik, Lin Chen, Harikrishna Narasimhan, Aditya Krishna Menon, Wittawat Jitkrittum, Felix X. Yu, Sashank J. Reddi, Gang Fu, MohammadHossein Bateni, Sanjiv Kumar
2025 A conf
Efficient and Asymptotically Unbiased Constrained Decoding for Large Language Models.
AISTATS
Haotian Ye, Himanshu Jain, Chong You, Ananda Theertha Suresh, Haowei Lin, James Zou, Felix X. Yu
2025 J jnl
Efficient and Asymptotically Unbiased Constrained Decoding for Large Language Models.
CoRR
Haotian Ye, Himanshu Jain, Chong You, Ananda Theertha Suresh, Haowei Lin, James Zou, Felix X. Yu
2025 J jnl
Hierarchical Retrieval: The Geometry and a Pretrain-Finetune Recipe.
CoRR
Chong You, Rajesh Jayaram, Ananda Theertha Suresh, Robin Nittka, Felix X. Yu, Sanjiv Kumar
2025 A* conf
Large Language Models are Interpretable Learners.
ICLR
Ruochen Wang, Si Si, Felix X. Yu, Dorothea Wiesmann Rothuizen, Cho-Jui Hsieh, Inderjit S. Dhillon
2025 A* conf
LoRA Done RITE: Robust Invariant Transformation Equilibration for LoRA Optimization.
ICLR
Jui-Nan Yen, Si Si, Zhao Meng, Felix X. Yu, Sai Surya Duvvuri, Inderjit S. Dhillon, Cho-Jui Hsieh, Sanjiv Kumar
2025 J jnl
Scalable In-context Ranking with Generative Models.
CoRR
Nilesh Gupta, Chong You, Srinadh Bhojanapalli, Sanjiv Kumar, Inderjit S. Dhillon, Felix X. Yu
2025 J jnl
Spark Transformer: Reactivating Sparsity in FFN and Attention.
CoRR
Chong You, Kan Wu, Zhipeng Jia, Lin Chen, Srinadh Bhojanapalli, Jiaxian Guo, Utku Evci, Jan Wassenberg, Praneeth Netrapalli, Jeremiah J. Willcock, Suvinay Subramanian, Felix Chern, Alek Andreev, Shreya Pathak, Felix X. Yu, Prateek Jain, David E. Culler, Henry M. Levy, Sanjiv Kumar
2024 — conf
Automatic Engineering of Long Prompts.
ACL (Findings)
Cho-Jui Hsieh, Si Si, Felix X. Yu, Inderjit S. Dhillon
2024 J jnl
Efficient Document Ranking with Learnable Late Interactions.
CoRR
Ziwei Ji, Himanshu Jain, Andreas Veit, Sashank J. Reddi, Sadeep Jayasumana, Ankit Singh Rawat, Aditya Krishna Menon, Felix X. Yu, Sanjiv Kumar
2024 J jnl
Large Language Models are Interpretable Learners.
CoRR
Ruochen Wang, Si Si, Felix X. Yu, Dorothea Wiesmann, Cho-Jui Hsieh, Inderjit S. Dhillon
2024 J jnl
LoRA Done RITE: Robust Invariant Transformation Equilibration for LoRA Optimization.
CoRR
Jui-Nan Yen, Si Si, Zhao Meng, Felix X. Yu, Sai Surya Duvvuri, Inderjit S. Dhillon, Cho-Jui Hsieh, Sanjiv Kumar
2024 J jnl
Metric-aware LLM inference.
CoRR
Michal Lukasik, Harikrishna Narasimhan, Aditya Krishna Menon, Felix X. Yu, Sanjiv Kumar
2024 — conf
Regression Aware Inference with LLMs.
EMNLP (Findings)
Michal Lukasik, Harikrishna Narasimhan, Aditya Krishna Menon, Felix X. Yu, Sanjiv Kumar
2024 A* conf
Two-stage LLM Fine-tuning with Less Specialization and More Generalization.
ICLR
Yihan Wang, Si Si, Daliang Li, Michal Lukasik, Felix X. Yu, Cho-Jui Hsieh, Inderjit S. Dhillon, Sanjiv Kumar
2023 J jnl
Automatic Engineering of Long Prompts.
CoRR
Cho-Jui Hsieh, Si Si, Felix X. Yu, Inderjit S. Dhillon
2023 A* conf
FedDM: Iterative Distribution Matching for Communication-Efficient Federated Learning.
CVPR
Yuanhao Xiong, Ruochen Wang, Minhao Cheng, Felix X. Yu, Cho-Jui Hsieh
2023 — conf
Large Language Models with Controllable Working Memory.
ACL (Findings)
Daliang Li, Ankit Singh Rawat, Manzil Zaheer, Xin Wang, Michal Lukasik, Andreas Veit, Felix X. Yu, Sanjiv Kumar
2023 J jnl
ReST meets ReAct: Self-Improvement for Multi-Step Reasoning LLM Agent.
CoRR
Renat Aksitov, Sobhan Miryoosefi, Zonglin Li, Daliang Li, Sheila Babayan, Kavya Kopparapu, Zachary Fisher, Ruiqi Guo, Sushant Prakash, Pranesh Srinivasan, Manzil Zaheer, Felix X. Yu, Sanjiv Kumar
2023 A* conf
Serving Graph Compression for Graph Neural Networks.
ICLR
Si Si, Felix X. Yu, Ankit Singh Rawat, Cho-Jui Hsieh, Sanjiv Kumar
2023 A* conf
SpecTr: Fast Speculative Decoding via Optimal Transport.
NeurIPS
Ziteng Sun, Ananda Theertha Suresh, Jae Hun Ro, Ahmad Beirami, Himanshu Jain, Felix X. Yu
2023 J jnl
SpecTr: Fast Speculative Decoding via Optimal Transport.
CoRR
Ziteng Sun, Ananda Theertha Suresh, Jae Hun Ro, Ahmad Beirami, Himanshu Jain, Felix X. Yu
2023 A* conf
The Lazy Neuron Phenomenon: On Emergence of Activation Sparsity in Transformers.
ICLR
Zonglin Li, Chong You, Srinadh Bhojanapalli, Daliang Li, Ankit Singh Rawat, Sashank J. Reddi, Ke Ye, Felix Chern, Felix X. Yu, Ruiqi Guo, Sanjiv Kumar
2022 A* conf
Correlated Quantization for Distributed Mean Estimation and Optimization.
ICML
Ananda Theertha Suresh, Ziteng Sun, Jae Ro, Felix X. Yu
2022 J jnl
Correlated quantization for distributed mean estimation and optimization.
CoRR
Ananda Theertha Suresh, Ziteng Sun, Jae Hun Ro, Felix X. Yu
2022 J jnl
FedDM: Iterative Distribution Matching for Communication-Efficient Federated Learning.
CoRR
Yuanhao Xiong, Ruochen Wang, Minhao Cheng, Felix X. Yu, Cho-Jui Hsieh
2022 J jnl
FedLite: A Scalable Approach for Federated Learning on Resource-constrained Clients.
CoRR
Jianyu Wang, Hang Qi, Ankit Singh Rawat, Sashank J. Reddi, Sagar Waghmare, Felix X. Yu, Gauri Joshi
2022 J jnl
Large Language Models with Controllable Working Memory.
CoRR
Daliang Li, Ankit Singh Rawat, Manzil Zaheer, Xin Wang, Michal Lukasik, Andreas Veit, Felix X. Yu, Sanjiv Kumar
2022 J jnl
Large Models are Parsimonious Learners: Activation Sparsity in Trained Transformers.
CoRR
Zonglin Li, Chong You, Srinadh Bhojanapalli, Daliang Li, Ankit Singh Rawat, Sashank J. Reddi, Ke Ye, Felix Chern, Felix X. Yu, Ruiqi Guo, Sanjiv Kumar
2022 J jnl
Preserving In-Context Learning ability in Large Language Model Fine-tuning.
CoRR
Yihan Wang, Si Si, Daliang Li, Michal Lukasik, Felix X. Yu, Cho-Jui Hsieh, Inderjit S. Dhillon, Sanjiv Kumar
2021 J jnl
A Field Guide to Federated Optimization.
CoRR
Jianyu Wang, Zachary Charles, Zheng Xu, Gauri Joshi, H. Brendan McMahan, Blaise Agüera y Arcas, Maruan Al-Shedivat, Galen Andrew, Salman Avestimehr, Katharine Daly, Deepesh Data, Suhas N. Diggavi, Hubert Eichner, Advait Gadhikar, Zachary Garrett, Antonious M. Girgis, Filip Hanzely, Andrew Hard, Chaoyang He, Samuel Horváth, Zhouyuan Huo, Alex Ingerman, Martin Jaggi, Tara Javidi, Peter Kairouz, Satyen Kale, Sai Praneeth Karimireddy, Jakub Konecný, Sanmi Koyejo, Tian Li, Luyang Liu, Mehryar Mohri, Hang Qi, Sashank J. Reddi, Peter Richtárik, Karan Singhal, Virginia Smith, Mahdi Soltanolkotabi, Weikang Song, Ananda Theertha Suresh, Sebastian U. Stich, Ameet Talwalkar, Hongyi Wang, Blake E. Woodworth, Shanshan Wu, Felix X. Yu, Honglin Yuan, Manzil Zaheer, Mi Zhang, Tong Zhang, Chunxiang Zheng, Chen Zhu, Wennan Zhu
2021 J jnl
Advances and Open Problems in Federated Learning.
Found. Trends Mach. Learn.
Peter Kairouz, H. Brendan McMahan, Brendan Avent, Aurélien Bellet, Mehdi Bennis, Arjun Nitin Bhagoji, Kallista A. Bonawitz, Zachary Charles, Graham Cormode, Rachel Cummings, Rafael G. L. D'Oliveira, Hubert Eichner, Salim El Rouayheb, David Evans, Josh Gardner, Zachary Garrett, Adrià Gascón, Badih Ghazi, Phillip B. Gibbons, Marco Gruteser, Zaïd Harchaoui, Chaoyang He, Lie He, Zhouyuan Huo, Ben Hutchinson, Justin Hsu, Martin Jaggi, Tara Javidi, Gauri Joshi, Mikhail Khodak, Jakub Konecný, Aleksandra Korolova, Farinaz Koushanfar, Sanmi Koyejo, Tancrède Lepoint, Yang Liu, Prateek Mittal, Mehryar Mohri, Richard Nock, Ayfer Özgür, Rasmus Pagh, Hang Qi, Daniel Ramage, Ramesh Raskar, Mariana Raykova, Dawn Song, Weikang Song, Sebastian U. Stich, Ziteng Sun, Ananda Theertha Suresh, Florian Tramèr, Praneeth Vepakomma, Jianyu Wang, Li Xiong, Zheng Xu, Qiang Yang, Felix X. Yu, Han Yu, Sen Zhao
2021 J jnl
Disentangling Sampling and Labeling Bias for Learning in Large-Output Spaces.
CoRR
Ankit Singh Rawat, Aditya Krishna Menon, Wittawat Jitkrittum, Sadeep Jayasumana, Felix X. Yu, Sashank J. Reddi, Sanjiv Kumar
2021 A* conf
Disentangling Sampling and Labeling Bias for Learning in Large-output Spaces.
ICML
Ankit Singh Rawat, Aditya Krishna Menon, Wittawat Jitkrittum, Sadeep Jayasumana, Felix X. Yu, Sashank J. Reddi, Sanjiv Kumar
2021 J jnl
HD-cos Networks: Efficient Neural Architectures for Secure Multi-Party Computation.
CoRR
Wittawat Jitkrittum, Michal Lukasik, Ananda Theertha Suresh, Felix X. Yu, Gang Wang
2021 A conf
RankDistil: Knowledge Distillation for Ranking.
AISTATS
Sashank J. Reddi, Rama Kumar Pasumarthi, Aditya Krishna Menon, Ankit Singh Rawat, Felix X. Yu, Seungyeon Kim, Andreas Veit, Sanjiv Kumar
2021 A conf
Self-supervised Learning for Large-scale Item Recommendations.
CIKM
Tiansheng Yao, Xinyang Yi, Derek Zhiyuan Cheng, Felix X. Yu, Ting Chen, Aditya Krishna Menon, Lichan Hong, Ed H. Chi, Steve Tjoa, Jieqi (Jay) Kang, Evan Ettinger
2020 J jnl
Doubly-stochastic mining for heterogeneous retrieval.
CoRR
Ankit Singh Rawat, Aditya Krishna Menon, Andreas Veit, Felix X. Yu, Sashank J. Reddi, Sanjiv Kumar
2020 A* conf
Federated Learning with Only Positive Labels.
ICML
Felix X. Yu, Ankit Singh Rawat, Aditya Krishna Menon, Sanjiv Kumar
2020 J jnl
Federated Learning with Only Positive Labels.
CoRR
Felix X. Yu, Ankit Singh Rawat, Aditya Krishna Menon, Sanjiv Kumar
2020 A* conf
Learning discrete distributions: user vs item-level privacy.
NeurIPS
Yuhan Liu, Ananda Theertha Suresh, Felix X. Yu, Sanjiv Kumar, Michael Riley
2020 J jnl
Learning discrete distributions: user vs item-level privacy.
CoRR
Yuhan Liu, Ananda Theertha Suresh, Felix X. Yu, Sanjiv Kumar, Michael Riley
2020 J jnl
Modifying Memories in Transformer Models.
CoRR
Chen Zhu, Ankit Singh Rawat, Manzil Zaheer, Srinadh Bhojanapalli, Daliang Li, Felix X. Yu, Sanjiv Kumar
2020 A* conf
Pre-training Tasks for Embedding-based Large-scale Retrieval.
ICLR
Wei-Cheng Chang, Felix X. Yu, Yin-Wen Chang, Yiming Yang, Sanjiv Kumar
2020 J jnl
Pre-training Tasks for Embedding-based Large-scale Retrieval.
CoRR
Wei-Cheng Chang, Felix X. Yu, Yin-Wen Chang, Yiming Yang, Sanjiv Kumar
2020 J jnl
Self-supervised Learning for Deep Models in Recommendations.
CoRR
Tiansheng Yao, Xinyang Yi, Derek Zhiyuan Cheng, Felix X. Yu, Aditya Krishna Menon, Lichan Hong, Ed H. Chi, Steve Tjoa, Jieqi Kang, Evan Ettinger
2020 — conf
Semantic Label Smoothing for Sequence to Sequence Problems.
EMNLP (1)
Michal Lukasik, Himanshu Jain, Aditya Krishna Menon, Seungyeon Kim, Srinadh Bhojanapalli, Felix X. Yu, Sanjiv Kumar
2020 J jnl
Semantic Label Smoothing for Sequence to Sequence Problems.
CoRR
Michal Lukasik, Himanshu Jain, Aditya Krishna Menon, Seungyeon Kim, Srinadh Bhojanapalli, Felix X. Yu, Sanjiv Kumar
2019 J jnl
AdaCliP: Adaptive Clipping for Private SGD.
CoRR
Venkatadheeraj Pichapati, Ananda Theertha Suresh, Felix X. Yu, Sashank J. Reddi, Sanjiv Kumar
2019 J jnl
Advances and Open Problems in Federated Learning.
CoRR
Peter Kairouz, H. Brendan McMahan, Brendan Avent, Aurélien Bellet, Mehdi Bennis, Arjun Nitin Bhagoji, Kallista A. Bonawitz, Zachary Charles, Graham Cormode, Rachel Cummings, Rafael G. L. D'Oliveira, Salim El Rouayheb, David Evans, Josh Gardner, Zachary Garrett, Adrià Gascón, Badih Ghazi, Phillip B. Gibbons, Marco Gruteser, Zaïd Harchaoui, Chaoyang He, Lie He, Zhouyuan Huo, Ben Hutchinson, Justin Hsu, Martin Jaggi, Tara Javidi, Gauri Joshi, Mikhail Khodak, Jakub Konecný, Aleksandra Korolova, Farinaz Koushanfar, Sanmi Koyejo, Tancrède Lepoint, Yang Liu, Prateek Mittal, Mehryar Mohri, Richard Nock, Ayfer Özgür, Rasmus Pagh, Mariana Raykova, Hang Qi, Daniel Ramage, Ramesh Raskar, Dawn Song, Weikang Song, Sebastian U. Stich, Ziteng Sun, Ananda Theertha Suresh, Florian Tramèr, Praneeth Vepakomma, Jianyu Wang, Li Xiong, Zheng Xu, Qiang Yang, Felix X. Yu, Han Yu, Sen Zhao
2019 A* conf
Learning a Compressed Sensing Measurement Matrix via Gradient Unrolling.
ICML
Shanshan Wu, Alex Dimakis, Sujay Sanghavi, Felix X. Yu, Daniel Niels Holtmann-Rice, Dmitry Storcheus, Afshin Rostamizadeh, Sanjiv Kumar
2019 A* conf
Sampled Softmax with Random Fourier Features.
NeurIPS
Ankit Singh Rawat, Jiecao Chen, Felix X. Yu, Ananda Theertha Suresh, Sanjiv Kumar
2019 J jnl
Sampled Softmax with Random Fourier Features.
CoRR
Ankit Singh Rawat, Jiecao Chen, Felix X. Yu, Ananda Theertha Suresh, Sanjiv Kumar
2019 A conf
Stochastic Negative Mining for Learning with Large Output Spaces.
AISTATS
Sashank J. Reddi, Satyen Kale, Felix X. Yu, Daniel Niels Holtmann-Rice, Jiecao Chen, Sanjiv Kumar
2018 J jnl
Heated-Up Softmax Embedding.
CoRR
Xu Zhang, Felix X. Yu, Svebor Karaman, Wei Zhang, Shih-Fu Chang
2018 A* conf
Loss Decomposition for Fast Learning in Large Output Spaces.
ICML
Ian En-Hsu Yen, Satyen Kale, Felix X. Yu, Daniel Niels Holtmann-Rice, Sanjiv Kumar, Pradeep Ravikumar
2018 J jnl
Stochastic Negative Mining for Learning with Large Output Spaces.
CoRR
Sashank J. Reddi, Satyen Kale, Felix X. Yu, Daniel N. Holtmann-Rice, Jiecao Chen, Sanjiv Kumar
2018 J jnl
The Sparse Recovery Autoencoder.
CoRR
Shanshan Wu, Alexandros G. Dimakis, Sujay Sanghavi, Felix X. Yu, Daniel Niels Holtmann-Rice, Dmitry Storcheus, Afshin Rostamizadeh, Sanjiv Kumar
2018 A* conf
cpSGD: Communication-efficient and differentially-private distributed SGD.
NeurIPS
Naman Agarwal, Ananda Theertha Suresh, Felix X. Yu, Sanjiv Kumar, Brendan McMahan
2018 J jnl
cpSGD: Communication-efficient and differentially-private distributed SGD.
CoRR
Naman Agarwal, Ananda Theertha Suresh, Felix X. Yu, Sanjiv Kumar, H. Brendan McMahan
2017 A* conf
Distributed Mean Estimation with Limited Communication.
ICML
Ananda Theertha Suresh, Felix X. Yu, Sanjiv Kumar, H. Brendan McMahan
2017 J jnl
Lattice Rescoring Strategies for Long Short Term Memory Language Models in Speech Recognition.
CoRR
Shankar Kumar, Michael Nirschl, Daniel N. Holtmann-Rice, Hank Liao, Ananda Theertha Suresh, Felix X. Yu
2017 C conf
Lattice rescoring strategies for long short term memory language models in speech recognition.
ASRU
Shankar Kumar, Michael Nirschl, Daniel Niels Holtmann-Rice, Hank Liao, Ananda Theertha Suresh, Felix X. Yu
2017 A* conf
Learning Discriminative and Transformation Covariant Local Feature Detectors.
CVPR
Xu Zhang, Felix X. Yu, Svebor Karaman, Shih-Fu Chang
2017 A* conf
Learning Spread-Out Local Feature Descriptors.
ICCV
Xu Zhang, Felix X. Yu, Sanjiv Kumar, Shih-Fu Chang
2017 J jnl
Learning Spread-out Local Feature Descriptors.
CoRR
Xu Zhang, Felix X. Yu, Sanjiv Kumar, Shih-Fu Chang
2017 — conf
Multiscale Quantization for Fast Similarity Search.
NIPS
Xiang Wu, Ruiqi Guo, Ananda Theertha Suresh, Sanjiv Kumar, Daniel N. Holtmann-Rice, David Simcha, Felix X. Yu
2017 J jnl
On Binary Embedding using Circulant Matrices.
J. Mach. Learn. Res.
Felix X. Yu, Aditya Bhaskara, Sanjiv Kumar, Yunchao Gong, Shih-Fu Chang
2016 J jnl
Distributed Mean Estimation with Limited Communication.
CoRR
Ananda Theertha Suresh, Felix X. Yu, H. Brendan McMahan, Sanjiv Kumar
2016 J jnl
Federated Learning: Strategies for Improving Communication Efficiency.
CoRR
Jakub Konecný, H. Brendan McMahan, Felix X. Yu, Peter Richtárik, Ananda Theertha Suresh, Dave Bacon
2016 — conf
Orthogonal Random Features.
NIPS
Felix X. Yu, Ananda Theertha Suresh, Krzysztof Marcin Choromanski, Daniel N. Holtmann-Rice, Sanjiv Kumar
2016 J jnl
Orthogonal Random Features.
CoRR
Felix X. Yu, Ananda Theertha Suresh, Krzysztof Choromanski, Daniel N. Holtmann-Rice, Sanjiv Kumar
2016 A* conf
Tamp: A Library for Compact Deep Neural Networks with Structured Matrices.
ACM Multimedia
Bingchen Gong, Brendan Jou, Felix X. Yu, Shih-Fu Chang
2015 A* conf
An Exploration of Parameter Redundancy in Deep Networks with Circulant Projections.
ICCV
Yu Cheng, Felix X. Yu, Rogério Schmidt Feris, Sanjiv Kumar, Alok N. Choudhary, Shih-Fu Chang
2015 J jnl
Compact Nonlinear Maps and Circulant Extensions.
CoRR
Felix X. Yu, Sanjiv Kumar, Henry A. Rowley, Shih-Fu Chang
2015 J jnl
Deep Transfer Network: Unsupervised Domain Adaptation.
CoRR
Xu Zhang, Felix X. Yu, Shih-Fu Chang, Shengjin Wang
2015 — ch.
Fast Binary Embedding for High-Dimensional Data.
Multimedia Data Mining and Analytics
Felix X. Yu, Yunchao Gong, Sanjiv Kumar
2015 J jnl
Fast Neural Networks with Circulant Projections.
CoRR
Yu Cheng, Felix X. Yu, Rogério Schmidt Feris, Sanjiv Kumar, Alok N. Choudhary, Shih-Fu Chang
2015 A* conf
Fast Orthogonal Projection Based on Kronecker Product.
ICCV
Xu Zhang, Felix X. Yu, Ruiqi Guo, Sanjiv Kumar, Shengjin Wang, Shih-Fu Chang
2015 J jnl
On Binary Embedding using Circulant Matrices.
CoRR
Felix X. Yu, Aditya Bhaskara, Sanjiv Kumar, Yunchao Gong, Shih-Fu Chang
2015 — conf
Spherical Random Features for Polynomial Kernels.
NIPS
Jeffrey Pennington, Felix X. Yu, Sanjiv Kumar
2014 A* conf
Circulant Binary Embedding.
ICML
Felix X. Yu, Sanjiv Kumar, Yunchao Gong, Shih-Fu Chang
2014 J jnl
Circulant Binary Embedding.
CoRR
Felix X. Yu, Sanjiv Kumar, Yunchao Gong, Shih-Fu Chang
2014 B conf
Minimally Needed Evidence for Complex Event Recognition in Unconstrained Videos.
ICMR
Subhabrata Bhattacharya, Felix X. Yu, Shih-Fu Chang
2014 A* conf
Modeling Attributes from Category-Attribute Proportions.
ACM Multimedia
Felix X. Yu, Liangliang Cao, Michele Merler, Noel C. F. Codella, Tao Chen, John R. Smith, Shih-Fu Chang
2014 A* conf
Object-Based Visual Sentiment Concept Analysis and Application.
ACM Multimedia
Tao Chen, Felix X. Yu, Jiawei Chen, Yin Cui, Yan-Ying Chen, Shih-Fu Chang
2014 J jnl
On Learning with Label Proportions.
CoRR
Felix X. Yu, Sanjiv Kumar, Tony Jebara, Shih-Fu Chang
2014 A* conf
Video Event Detection by Inferring Temporal Instance Labels.
CVPR
Kuan-Ting Lai, Felix X. Yu, Ming-Syan Chen, Shih-Fu Chang
2013 J jnl
$\propto$SVM for learning with label proportions.
CoRR
Felix X. Yu, Dong Liu, Sanjiv Kumar, Tony Jebara, Shih-Fu Chang
2013 A* conf
Designing Category-Level Attributes for Discriminative Visual Recognition.
CVPR
Felix X. Yu, Liangliang Cao, Rogério Schmidt Feris, John R. Smith, Shih-Fu Chang
2013 — conf
IBM Research and Columbia University TRECVID-2013 Multimedia Event Detection (MED), Multimedia Event Recounting (MER), Surveillance Event Detection (SED), and Semantic Indexing (SIN) Systems.
TRECVID
Lisa M. Brown, Liangliang Cao, Chih-Fu Chang, Yu Cheng, Alok N. Choudhary, Noel Codella, Courtenay V. Cotton, Dan Ellis, Quanfu Fan, Rogério Schmidt Feris, Leiguang Gong, Matthew L. Hill, Gang Hua, John R. Kender, Michele Merler, Yadong Mu, Sharath Pankanti, John R. Smith, Felix X. Yu
2013 — conf
\(\propto\)SVM for Learning with Label Proportions.
ICML (3)
Felix X. Yu, Dong Liu, Sanjiv Kumar, Tony Jebara, Shih-Fu Chang
2012 J jnl
Active query sensing: Suggesting the best query view for mobile visual search.
ACM Trans. Multim. Comput. Commun. Appl.
Rongrong Ji, Felix X. Yu, Tongtao Zhang, Shih-Fu Chang
2012 — conf
IBM Research and Columbia University TRECVID-2012 Multimedia Event Detection (MED), Multimedia Event Recounting (MER), and Semantic Indexing (SIN) Systems.
TRECVID
Liangliang Cao, Shih-Fu Chang, Noel Codella, Courtenay V. Cotton, Dan Ellis, Leiguang Gong, Matthew L. Hill, Gang Hua, John R. Kender, Michele Merler, Yadong Mu, John R. Smith, Felix X. Yu
2012 A* conf
Weak attributes for large-scale image retrieval.
CVPR
Felix X. Yu, Rongrong Ji, Ming-Hen Tsai, Guangnan Ye, Shih-Fu Chang
2011 A* conf
A mobile location search system with active query sensing.
ACM Multimedia
Felix X. Yu, Rongrong Ji, Tongtao Zhang, Shih-Fu Chang
2011 A* conf
Active query sensing for mobile location search.
ACM Multimedia
Felix X. Yu, Rongrong Ji, Shih-Fu Chang
2011 A* conf
Intelligent query formulation for mobile visual search.
ACM Multimedia
Felix X. Yu