Quanquan Gu
Orcid: 0000-0001-9830-793X
According to our database1,
Quanquan Gu
authored at least 270 papers
between 2008 and 2024.
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Bibliography
2024
CoRR, 2024
DecompOpt: Controllable and Decomposed Diffusion Models for Structure-based Molecular Optimization.
CoRR, 2024
CoRR, 2024
Causal Graph ODE: Continuous Treatment Effect Modeling in Multi-agent Dynamical Systems.
CoRR, 2024
CoRR, 2024
Mitigating Object Hallucination in Large Vision-Language Models via Classifier-Free Guidance.
CoRR, 2024
CoRR, 2024
2023
A Nearly Optimal and Low-Switching Algorithm for Reinforcement Learning with General Function Approximation.
CoRR, 2023
CoRR, 2023
CoRR, 2023
Pessimistic Nonlinear Least-Squares Value Iteration for Offline Reinforcement Learning.
CoRR, 2023
CoRR, 2023
Diffusion Language Models Can Perform Many Tasks with Scaling and Instruction-Finetuning.
CoRR, 2023
Beyond One-Model-Fits-All: A Survey of Domain Specialization for Large Language Models.
CoRR, 2023
CoRR, 2023
Provably efficient representation selection in Low-rank Markov Decision Processes: from online to offline RL.
Proceedings of the Uncertainty in Artificial Intelligence, 2023
Proceedings of the Uncertainty in Artificial Intelligence, 2023
Proceedings of the Uncertainty in Artificial Intelligence, 2023
Proceedings of the Uncertainty in Artificial Intelligence, 2023
Optimal Extragradient-Based Algorithms for Stochastic Variational Inequalities with Separable Structure.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Corruption-Robust Offline Reinforcement Learning with General Function Approximation.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Implicit Bias of Gradient Descent for Two-layer ReLU and Leaky ReLU Networks on Nearly-orthogonal Data.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the International Conference on Machine Learning, 2023
Proceedings of the International Conference on Machine Learning, 2023
Optimal Online Generalized Linear Regression with Stochastic Noise and Its Application to Heteroscedastic Bandits.
Proceedings of the International Conference on Machine Learning, 2023
Proceedings of the International Conference on Machine Learning, 2023
On the Interplay Between Misspecification and Sub-optimality Gap in Linear Contextual Bandits.
Proceedings of the International Conference on Machine Learning, 2023
Corruption-Robust Algorithms with Uncertainty Weighting for Nonlinear Contextual Bandits and Markov Decision Processes.
Proceedings of the International Conference on Machine Learning, 2023
Proceedings of the International Conference on Machine Learning, 2023
Proceedings of the International Conference on Machine Learning, 2023
Cooperative Multi-Agent Reinforcement Learning: Asynchronous Communication and Linear Function Approximation.
Proceedings of the International Conference on Machine Learning, 2023
Proceedings of the International Conference on Machine Learning, 2023
Proceedings of the International Conference on Machine Learning, 2023
Proceedings of the International Conference on Machine Learning, 2023
Proceedings of the International Conference on Machine Learning, 2023
Proceedings of the International Conference on Machine Learning, 2023
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Understanding the Generalization of Adam in Learning Neural Networks with Proper Regularization.
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Proceedings of the Eleventh International Conference on Learning Representations, 2023
A General Framework for Sample-Efficient Function Approximation in Reinforcement Learning.
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Variance-Dependent Regret Bounds for Linear Bandits and Reinforcement Learning: Adaptivity and Computational Efficiency.
Proceedings of the Thirty Sixth Annual Conference on Learning Theory, 2023
The Implicit Bias of Batch Normalization in Linear Models and Two-layer Linear Convolutional Neural Networks.
Proceedings of the Thirty Sixth Annual Conference on Learning Theory, 2023
2022
A General Framework for Sample-Efficient Function Approximation in Reinforcement Learning.
CoRR, 2022
Learning Two-Player Mixture Markov Games: Kernel Function Approximation and Correlated Equilibrium.
CoRR, 2022
Bandit Learning with General Function Classes: Heteroscedastic Noise and Variance-dependent Regret Bounds.
CoRR, 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Computationally Efficient Horizon-Free Reinforcement Learning for Linear Mixture MDPs.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
The Power and Limitation of Pretraining-Finetuning for Linear Regression under Covariate Shift.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Learning Two-Player Markov Games: Neural Function Approximation and Correlated Equilibrium.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Nearly Optimal Algorithms for Linear Contextual Bandits with Adversarial Corruptions.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
A Simple and Provably Efficient Algorithm for Asynchronous Federated Contextual Linear Bandits.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Proceedings of the International Conference on Machine Learning, 2022
Last Iterate Risk Bounds of SGD with Decaying Stepsize for Overparameterized Linear Regression.
Proceedings of the International Conference on Machine Learning, 2022
Proceedings of the International Conference on Machine Learning, 2022
Proceedings of the International Conference on Machine Learning, 2022
Proceedings of the Tenth International Conference on Learning Representations, 2022
Proceedings of the Tenth International Conference on Learning Representations, 2022
Proceedings of the Tenth International Conference on Learning Representations, 2022
Proceedings of the American Control Conference, 2022
Proceedings of the International Conference on Algorithmic Learning Theory, 29 March, 2022
Proceedings of the International Conference on Algorithmic Learning Theory, 29 March, 2022
Nearly Minimax Optimal Regret for Learning Infinite-horizon Average-reward MDPs with Linear Function Approximation.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022
Adaptive Sampling for Heterogeneous Rank Aggregation from Noisy Pairwise Comparisons.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022
Near-optimal Policy Optimization Algorithms for Learning Adversarial Linear Mixture MDPs.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022
Locally Differentially Private Reinforcement Learning for Linear Mixture Markov Decision Processes.
Proceedings of the Asian Conference on Machine Learning, 2022
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022
2021
SIAM J. Sci. Comput., 2021
Proc. Priv. Enhancing Technol., 2021
CoRR, 2021
Nearly Optimal Regret for Learning Adversarial MDPs with Linear Function Approximation.
CoRR, 2021
Almost Optimal Algorithms for Two-player Markov Games with Linear Function Approximation.
CoRR, 2021
Faster Convergence of Stochastic Gradient Langevin Dynamics for Non-Log-Concave Sampling.
Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, 2021
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Provably Efficient Reinforcement Learning with Linear Function Approximation under Adaptivity Constraints.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Proxy Convexity: A Unified Framework for the Analysis of Neural Networks Trained by Gradient Descent.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Risk Bounds for Over-parameterized Maximum Margin Classification on Sub-Gaussian Mixtures.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021
Proceedings of the 38th International Conference on Machine Learning, 2021
Proceedings of the 38th International Conference on Machine Learning, 2021
Proceedings of the 38th International Conference on Machine Learning, 2021
Proceedings of the 38th International Conference on Machine Learning, 2021
Proceedings of the 38th International Conference on Machine Learning, 2021
Proceedings of the 38th International Conference on Machine Learning, 2021
Provable Generalization of SGD-trained Neural Networks of Any Width in the Presence of Adversarial Label Noise.
Proceedings of the 38th International Conference on Machine Learning, 2021
Proceedings of the 38th International Conference on Machine Learning, 2021
Proceedings of the 9th International Conference on Learning Representations, 2021
Direction Matters: On the Implicit Bias of Stochastic Gradient Descent with Moderate Learning Rate.
Proceedings of the 9th International Conference on Learning Representations, 2021
Proceedings of the 9th International Conference on Learning Representations, 2021
Proceedings of the Conference on Learning Theory, 2021
Nearly Minimax Optimal Reinforcement Learning for Linear Mixture Markov Decision Processes.
Proceedings of the Conference on Learning Theory, 2021
Proceedings of the Conference on Learning Theory, 2021
2020
J. Mach. Learn. Res., 2020
Direction Matters: On the Implicit Regularization Effect of Stochastic Gradient Descent with Moderate Learning Rate.
CoRR, 2020
Mean-Field Analysis of Two-Layer Neural Networks: Non-Asymptotic Rates and Generalization Bounds.
CoRR, 2020
Proceedings of the ESEC/FSE '20: 28th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2020
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
DP-LSSGD: A Stochastic Optimization Method to Lift the Utility in Privacy-Preserving ERM.
Proceedings of Mathematical and Scientific Machine Learning, 2020
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020
Closing the Generalization Gap of Adaptive Gradient Methods in Training Deep Neural Networks.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020
Proceedings of the 37th International Conference on Machine Learning, 2020
Proceedings of the 37th International Conference on Machine Learning, 2020
Proceedings of the 37th International Conference on Machine Learning, 2020
Proceedings of the 8th International Conference on Learning Representations, 2020
Proceedings of the 8th International Conference on Learning Representations, 2020
Proceedings of the 8th International Conference on Learning Representations, 2020
Proceedings of the 8th International Conference on Learning Representations, 2020
Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020
Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020
Understanding the Intrinsic Robustness of Image Distributions using Conditional Generative Models.
Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
Generalization Error Bounds of Gradient Descent for Learning Over-Parameterized Deep ReLU Networks.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
2019
DP-LSSGD: A Stochastic Optimization Method to Lift the Utility in Privacy-Preserving ERM.
CoRR, 2019
A Generalization Theory of Gradient Descent for Learning Over-parameterized Deep ReLU Networks.
CoRR, 2019
Proceedings of the Thirty-Fifth Conference on Uncertainty in Artificial Intelligence, 2019
Layer-Dependent Importance Sampling for Training Deep and Large Graph Convolutional Networks.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019
Stochastic Gradient Hamiltonian Monte Carlo Methods with Recursive Variance Reduction.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019
Algorithm-Dependent Generalization Bounds for Overparameterized Deep Residual Networks.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019
Generalization Bounds of Stochastic Gradient Descent for Wide and Deep Neural Networks.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019
Proceedings of the 36th International Conference on Machine Learning, 2019
Proceedings of the 36th International Conference on Machine Learning, 2019
Sampling from Non-Log-Concave Distributions via Variance-Reduced Gradient Langevin Dynamics.
Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019
Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019
2018
CoRR, 2018
CoRR, 2018
Closing the Generalization Gap of Adaptive Gradient Methods in Training Deep Neural Networks.
CoRR, 2018
Proceedings of the Thirty-Fourth Conference on Uncertainty in Artificial Intelligence, 2018
Continuous-Trait Probabilistic Model for Comparing Multi-species Functional Genomic Data.
Proceedings of the Research in Computational Molecular Biology, 2018
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2018
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018
Third-order Smoothness Helps: Faster Stochastic Optimization Algorithms for Finding Local Minima.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018
Distributed Learning without Distress: Privacy-Preserving Empirical Risk Minimization.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018
Proceedings of the 35th International Conference on Machine Learning, 2018
Proceedings of the 35th International Conference on Machine Learning, 2018
Proceedings of the 35th International Conference on Machine Learning, 2018
Fast and Sample Efficient Inductive Matrix Completion via Multi-Phase Procrustes Flow.
Proceedings of the 35th International Conference on Machine Learning, 2018
Continuous and Discrete-time Accelerated Stochastic Mirror Descent for Strongly Convex Functions.
Proceedings of the 35th International Conference on Machine Learning, 2018
Proceedings of the 35th International Conference on Machine Learning, 2018
Proceedings of the 38th IEEE International Conference on Distributed Computing Systems, 2018
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018
Accelerated Stochastic Mirror Descent: From Continuous-time Dynamics to Discrete-time Algorithms.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018
2017
Third-order Smoothness Helps: Even Faster Stochastic Optimization Algorithms for Finding Local Minima.
CoRR, 2017
Saving Gradient and Negative Curvature Computations: Finding Local Minima More Efficiently.
CoRR, 2017
Speeding Up Latent Variable Gaussian Graphical Model Estimation via Nonconvex Optimizations.
CoRR, 2017
CoRR, 2017
Speeding Up Latent Variable Gaussian Graphical Model Estimation via Nonconvex Optimization.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017
Fast Newton Hard Thresholding Pursuit for Sparsity Constrained Nonconvex Optimization.
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017
High-Dimensional Variance-Reduced Stochastic Gradient Expectation-Maximization Algorithm.
Proceedings of the 34th International Conference on Machine Learning, 2017
Proceedings of the 34th International Conference on Machine Learning, 2017
Proceedings of the 34th International Conference on Machine Learning, 2017
Uncertainty Assessment and False Discovery Rate Control in High-Dimensional Granger Causal Inference.
Proceedings of the 34th International Conference on Machine Learning, 2017
Efficient Algorithm for Sparse Tensor-variate Gaussian Graphical Models via Gradient Descent.
Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, 2017
A Unified Computational and Statistical Framework for Nonconvex Low-rank Matrix Estimation.
Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, 2017
Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, 2017
Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, 2017
2016
Proceedings of the Thirty-Second Conference on Uncertainty in Artificial Intelligence, 2016
Accelerated Stochastic Block Coordinate Gradient Descent for Sparsity Constrained Nonconvex Optimization.
Proceedings of the Thirty-Second Conference on Uncertainty in Artificial Intelligence, 2016
Proceedings of the 39th International ACM SIGIR conference on Research and Development in Information Retrieval, 2016
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016
Proceedings of the 33nd International Conference on Machine Learning, 2016
Proceedings of the 33nd International Conference on Machine Learning, 2016
Precision Matrix Estimation in High Dimensional Gaussian Graphical Models with Faster Rates.
Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, 2016
Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, 2016
Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, 2016
2015
ACM Trans. Knowl. Discov. Data, 2015
Proceedings of the 2015 SIAM International Conference on Data Mining, Vancouver, BC, Canada, April 30, 2015
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2015
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015
Proceedings of the 32nd International Conference on Machine Learning, 2015
Classification with Active Learning and Meta-Paths in Heterogeneous Information Networks.
Proceedings of the 24th ACM International Conference on Information and Knowledge Management, 2015
2014
A network-assisted co-clustering algorithm to discover cancer subtypes based on gene expression.
BMC Bioinform., 2014
Proceedings of the Seventh ACM International Conference on Web Search and Data Mining, 2014
Proceedings of the Thirtieth Conference on Uncertainty in Artificial Intelligence, 2014
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014
Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014
Proceedings of the 2014 IEEE International Conference on Data Mining, 2014
Proceedings of the Data Classification: Algorithms and Applications, 2014
2013
J. Comput. Syst. Sci., 2013
Proceedings of the Seventh ACM Conference on Recommender Systems, 2013
Mining lines in the sand: on trajectory discovery from untrustworthy data in cyber-physical system.
Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013
Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2013
Proceedings of the American Control Conference, 2013
Proceedings of the Sixteenth International Conference on Artificial Intelligence and Statistics, 2013
Proceedings of the Sixteenth International Conference on Artificial Intelligence and Statistics, 2013
2012
Latent Community Topic Analysis: Integration of Community Discovery with Topic Modeling.
ACM Trans. Intell. Syst. Technol., 2012
Proceedings of the Fifteenth International Conference on Artificial Intelligence and Statistics, 2012
Proceedings of the Twelfth SIAM International Conference on Data Mining, 2012
Proceedings of the Twelfth SIAM International Conference on Data Mining, 2012
Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012
Proceedings of the 12th IEEE International Conference on Data Mining, 2012
2011
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2011
Proceedings of the IJCAI 2011, 2011
Proceedings of the 20th ACM Conference on Information and Knowledge Management, 2011
Proceedings of the 20th ACM Conference on Information and Knowledge Management, 2011
Proceedings of the Twenty-Fifth AAAI Conference on Artificial Intelligence, 2011
2010
Collaborative Filtering: Weighted Nonnegative Matrix Factorization Incorporating User and Item Graphs.
Proceedings of the SIAM International Conference on Data Mining, 2010
Proceedings of the International Conference on Image Processing, 2010
2009
Proceedings of the SIAM International Conference on Data Mining, 2009
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2009
Proceedings of the 15th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Paris, France, June 28, 2009
Proceedings of the IJCAI 2009, 2009
Proceedings of the International Conference on Image Processing, 2009
Proceedings of the International Conference on Image Processing, 2009
Learning the Shared Subspace for Multi-task Clustering and Transductive Transfer Classification.
Proceedings of the ICDM 2009, 2009
Proceedings of the IEEE International Conference on Acoustics, 2009
Proceedings of the IEEE International Conference on Acoustics, 2009
Proceedings of the 18th ACM Conference on Information and Knowledge Management, 2009
Proceedings of the British Machine Vision Conference, 2009
Proceedings of the British Machine Vision Conference, 2009
2008
Proceedings of the 19th International Conference on Pattern Recognition (ICPR 2008), 2008
Proceedings of the International Conference on Image Processing, 2008
Proceedings of the IEEE International Conference on Acoustics, 2008