2024
LoRA Done RITE: Robust Invariant Transformation Equilibration for LoRA Optimization.
CoRR, 2024
Large Language Models are Interpretable Learners.
CoRR, 2024
Two-stage LLM Fine-tuning with Less Specialization and More Generalization.
Proceedings of the Twelfth International Conference on Learning Representations, 2024
Automatic Engineering of Long Prompts.
Proceedings of the Findings of the Association for Computational Linguistics, 2024
2023
Active contour model based on hybrid signed pressure force function.
IET Image Process., 2023
Automatic Engineering of Long Prompts.
CoRR, 2023
Scaling Up Dataset Distillation to ImageNet-1K with Constant Memory.
Proceedings of the International Conference on Machine Learning, 2023
Serving Graph Compression for Graph Neural Networks.
Proceedings of the Eleventh International Conference on Learning Representations, 2023
2022
Preserving In-Context Learning ability in Large Language Model Fine-tuning.
CoRR, 2022
DC-BENCH: Dataset Condensation Benchmark.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
2021
The neurobiological basis of divergent thinking: Insight from gene co-expression network-based analysis.
NeuroImage, 2021
Learnable Fourier Features for Multi-dimensional Spatial Positional Encoding.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
2020
Genetic susceptibility to parenting style: <i>DRD2</i> and <i>COMT</i> influence creativity.
NeuroImage, 2020
How much progress have we made in neural network training? A New Evaluation Protocol for Benchmarking Optimizers.
CoRR, 2020
Auto Completion of User Interface Layout Design Using Transformer-Based Tree Decoders.
CoRR, 2020
Multi-Stage Influence Function.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
How Does Noise Help Robustness? Explanation and Exploration under the Neural SDE Framework.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020
2019
A Unified Framework for Data Poisoning Attack to Graph-based Semi-supervised Learning.
CoRR, 2019
Neural SDE: Stabilizing Neural ODE Networks with Stochastic Noise.
CoRR, 2019
A Unified Framework for Data Poisoning Attack to Graph-based Semi-supervised Learning.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019
Robustness Verification of Tree-based Models.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019
Cluster-GCN: An Efficient Algorithm for Training Deep and Large Graph Convolutional Networks.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019
Proceedings of the 36th International Conference on Machine Learning, 2019
Learning to Screen for Fast Softmax Inference on Large Vocabulary Neural Networks.
Proceedings of the 7th International Conference on Learning Representations, 2019
You Look Twice: GaterNet for Dynamic Filter Selection in CNNs.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019
2018
GaterNet: Dynamic Filter Selection in Convolutional Neural Network via a Dedicated Global Gating Network.
CoRR, 2018
Nonlinear Online Learning with Adaptive Nyström Approximation.
CoRR, 2018
GroupReduce: Block-Wise Low-Rank Approximation for Neural Language Model Shrinking.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018
2017
Memory Efficient Kernel Approximation.
J. Mach. Learn. Res., 2017
GPU-acceleration for Large-scale Tree Boosting.
CoRR, 2017
Communication-Efficient Distributed Block Minimization for Nonlinear Kernel Machines.
Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Halifax, NS, Canada, August 13, 2017
Gradient Boosted Decision Trees for High Dimensional Sparse Output.
Proceedings of the 34th International Conference on Machine Learning, 2017
2016
Kernel Ridge Regression via Partitioning.
CoRR, 2016
Communication-Efficient Parallel Block Minimization for Kernel Machines.
CoRR, 2016
Goal-Directed Inductive Matrix Completion.
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016
Computationally Efficient Nyström Approximation using Fast Transforms.
Proceedings of the 33nd International Conference on Machine Learning, 2016
2014
Parallel matrix factorization for recommender systems.
Knowl. Inf. Syst., 2014
Beyond modeling private actions: predicting social shares.
Proceedings of the 23rd International World Wide Web Conference, 2014
The "expression gap": do you like what you share?
Proceedings of the 23rd International World Wide Web Conference, 2014
Multi-Scale Spectral Decomposition of Massive Graphs.
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014
Fast Prediction for Large-Scale Kernel Machines.
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014
A Divide-and-Conquer Solver for Kernel Support Vector Machines.
Proceedings of the 31th International Conference on Machine Learning, 2014
2012
Social image annotation via cross-domain subspace learning.
Multim. Tools Appl., 2012
Scalable Coordinate Descent Approaches to Parallel Matrix Factorization for Recommender Systems.
Proceedings of the 12th IEEE International Conference on Data Mining, 2012
Multi-scale link prediction.
Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012
2011
Distribution Calibration in Riemannian Symmetric Space.
IEEE Trans. Syst. Man Cybern. Part B, 2011
2010
Bregman Divergence-Based Regularization for Transfer Subspace Learning.
IEEE Trans. Knowl. Data Eng., 2010
Evolutionary Cross-Domain Discriminative Hessian Eigenmaps.
IEEE Trans. Image Process., 2010
Discriminative Hessian Eigenmaps for face recognition.
Proceedings of the IEEE International Conference on Acoustics, 2010
2009
Transfer Discriminative Logmaps.
Proceedings of the Advances in Multimedia Information Processing, 2009
Cross-Domain Web Image Annotation.
Proceedings of the ICDM Workshops 2009, 2009