Li Shen

CoRR, 2024

DreamMover: Leveraging the Prior of Diffusion Models for Image Interpolation with Large Motion.

[BibT_eX]

[DOI]

CoRR, 2024

USCD: Improving Code Generation of LLMs by Uncertainty-Aware Selective Contrastive Decoding.

[BibT_eX]

[DOI]

CoRR, 2024

Continual Diffuser (CoD): Mastering Continual Offline Reinforcement Learning with Experience Rehearsal.

[BibT_eX]

[DOI]

CoRR, 2024

Convergent Differential Privacy Analysis for General Federated Learning: the f-DP Perspective.

[BibT_eX]

[DOI]

CoRR, 2024

Divide, Conquer and Combine: A Training-Free Framework for High-Resolution Image Perception in Multimodal Large Language Models.

[BibT_eX]

[DOI]

CoRR, 2024

QPO: Query-dependent Prompt Optimization via Multi-Loop Offline Reinforcement Learning.

[BibT_eX]

[DOI]

CoRR, 2024

SMILE: Zero-Shot Sparse Mixture of Low-Rank Experts Construction From Pre-Trained Foundation Models.

[BibT_eX]

[DOI]

CoRR, 2024

Sequential Federated Learning in Hierarchical Architecture on Non-IID Datasets.

[BibT_eX]

[DOI]

CoRR, 2024

Byzantine-resilient Federated Learning Employing Normalized Gradients on Non-IID Datasets.

[BibT_eX]

[DOI]

CoRR, 2024

Model Merging in LLMs, MLLMs, and Beyond: Methods, Theories, Applications and Opportunities.

[BibT_eX]

[DOI]

CoRR, 2024

(PASS) Visual Prompt Locates Good Structure Sparsity through a Recurrent HyperNetwork.

[BibT_eX]

[DOI]

CoRR, 2024

Towards Efficient Pareto Set Approximation via Mixture of Experts Based Model Fusion.

[BibT_eX]

[DOI]

CoRR, 2024

FusionBench: A Comprehensive Benchmark of Deep Model Fusion.

[BibT_eX]

[DOI]

CoRR, 2024

AlignIQL: Policy Alignment in Implicit Q-Learning through Constrained Optimization.

[BibT_eX]

[DOI]

CoRR, 2024

Learning with User-Level Local Differential Privacy.

[BibT_eX]

[DOI]

CoRR, 2024

Fast Generalizable Gaussian Splatting Reconstruction from Multi-View Stereo.

[BibT_eX]

[DOI]

CoRR, 2024

Is Mamba Compatible with Trajectory Optimization in Offline Reinforcement Learning?

[BibT_eX]

[DOI]

CoRR, 2024

Federated Learning with Only Positive Labels by Exploring Label Correlations.

[BibT_eX]

[DOI]

CoRR, 2024

Continuous Spiking Graph Neural Networks.

[BibT_eX]

[DOI]

Nan Yin

Mengzhu Wang

Hitesh Laxmichand Patel

Baopu Li

Bin Gu

Huan Xiong

CoRR, 2024

A General and Efficient Federated Split Learning with Pre-trained Image Transformers for Heterogeneous Data.

[BibT_eX]

[DOI]

CoRR, 2024

Building Accurate Translation-Tailored LLMs with Language Aware Instruction Tuning.

[BibT_eX]

[DOI]

CoRR, 2024

Communication-Efficient Distributed Learning with Local Immediate Error Compensation.

[BibT_eX]

[DOI]

CoRR, 2024

Step-On-Feet Tuning: Scaling Self-Alignment of LLMs via Bootstrapping.

[BibT_eX]

[DOI]

CoRR, 2024

Solving Continual Offline Reinforcement Learning with Decision Transformer.

[BibT_eX]

[DOI]

CoRR, 2024

WisdoM: Improving Multimodal Sentiment Analysis by Fusing Contextual World Knowledge.

[BibT_eX]

[DOI]

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

PrimKD: Primary Modality Guided Multimodal Fusion for RGB-D Semantic Segmentation.

[BibT_eX]

[DOI]

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

MuEP: A Multimodal Benchmark for Embodied Planning with Foundation Models.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Representation Surgery for Multi-Task Model Merging.

[BibT_eX]

[DOI]

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Task Groupings Regularization: Data-Free Meta-Learning with Heterogeneous Pre-trained Models.

[BibT_eX]

[DOI]

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Generalization Analysis of Stochastic Weight Averaging with General Sampling.

[BibT_eX]

[DOI]

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Merging Multi-Task Models via Weight-Ensembling Mixture of Experts.

[BibT_eX]

[DOI]

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Sparse Model Inversion: Efficient Inversion of Vision Transformers for Data-Free Applications.

[BibT_eX]

[DOI]

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Q-value Regularized Transformer for Offline Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the Forty-first International Conference on Machine Learning, 2024

HarmoDT: Harmony Multi-Task Decision Transformer for Offline Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the Forty-first International Conference on Machine Learning, 2024

DREAM: Dual Structured Exploration with Mixup for Open-set Graph Domain Adaption.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

AdaMerging: Adaptive Model Merging for Multi-Task Learning.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

A Unified and General Framework for Continual Learning.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Parameter-Efficient Multi-Task Model Fusion with Partial Linearization.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Revisiting Plasticity in Visual Reinforcement Learning: Data, Modules and Training Stages.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Learning Multi-Agent Communication from Graph Modeling Perspective.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Improving Non-Transferable Representation Learning by Harnessing Content and Style.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Is C4 Dataset Optimal for Pruning? An Investigation of Calibration Data for LLM Pruning.

[BibT_eX]

[DOI]

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Training A Secure Model Against Data-Free Model Extraction.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2024, 2024

Diversifying the Mixture-of-Experts Representation for Language Models with Orthogonal Optimizer.

[BibT_eX]

[DOI]

Proceedings of the ECAI 2024 - 27th European Conference on Artificial Intelligence, 19-24 October 2024, Santiago de Compostela, Spain, 2024

Sheared Backpropagation for Fine-Tuning Foundation Models.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Embodied Multi-Modal Agent trained by an LLM from a Parallel TextWorld.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Free: Faster and Better Data-Free Meta-Learning.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Decentralized Directed Collaboration for Personalized Federated Learning.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Your Transferability Barrier is Fragile: Free-Lunch for Transferring the Non-Transferable Learning.

[BibT_eX]

[DOI]

Ziming Hong

Tongliang Liu

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

POCE: Primal Policy Optimization with Conservative Estimation for Multi-constraint Offline Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Revisiting Knowledge Distillation for Autoregressive Language Models.

[BibT_eX]

[DOI]

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

OOP: Object-Oriented Programming Evaluation Benchmark for Large Language Models.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023

OMG: Towards Effective Graph Classification Against Label Noise.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., December, 2023

Distributionally Robust Memory Evolution With Generalized Divergence for Continual Learning.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., December, 2023

Efficient Federated Learning Via Local Adaptive Amended Optimizer With Linear Speedup.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., December, 2023

Prescribed Safety Performance Imitation Learning From a Single Expert Dataset.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., October, 2023

Don't Be So Dense: Sparse-to-Sparse GAN Training Without Sacrificing Performance.

[BibT_eX]

[DOI]

Int. J. Comput. Vis., October, 2023

Task-Adaptive Feature Disentanglement and Hallucination for Few-Shot Classification.

[BibT_eX]

[DOI]

IEEE Trans. Circuits Syst. Video Technol., August, 2023

Differentiable Neural Architecture Search for Extremely Lightweight Image Super-Resolution.

[BibT_eX]

[DOI]

IEEE Trans. Circuits Syst. Video Technol., June, 2023

Curriculum-Based Asymmetric Multi-Task Reinforcement Learning.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., June, 2023

Reducing bi-level feature redundancy for unsupervised domain adaptation.

[BibT_eX]

[DOI]

Pattern Recognit., May, 2023

Efficient-Adam: Communication-Efficient Distributed Adam.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2023

Dynamic Contrastive Distillation for Image-Text Retrieval.

[BibT_eX]

[DOI]

IEEE Trans. Multim., 2023

Fusion of Global and Local Knowledge for Personalized Federated Learning.

[BibT_eX]

[DOI]

Trans. Mach. Learn. Res., 2023

FedDAG: Federated DAG Structure Learning.

[BibT_eX]

[DOI]

Trans. Mach. Learn. Res., 2023

Dynamic PDGAN: discriminator-boosted knowledge distillation for StyleGANs.

[BibT_eX]

[DOI]

J. Electronic Imaging, 2023

Concrete Subspace Learning based Interference Elimination for Multi-task Model Fusion.

[BibT_eX]

[DOI]

CoRR, 2023

Task-Distributionally Robust Data-Free Meta-Learning.

[BibT_eX]

[DOI]

CoRR, 2023

Winning Prize Comes from Losing Tickets: Improve Invariant Learning by Exploring Variant Parameters for Out-of-Distribution Generalization.

[BibT_eX]

[DOI]

CoRR, 2023

Rethinking SIGN Training: Provable Nonconvex Acceleration without First- and Second-Order Gradient Lipschitz.

[BibT_eX]

[DOI]

CoRR, 2023

Learn From Model Beyond Fine-Tuning: A Survey.

[BibT_eX]

[DOI]

CoRR, 2023

Asymmetrically Decentralized Federated Learning.

[BibT_eX]

[DOI]

CoRR, 2023

Which mode is better for federated learning? Centralized or Decentralized.

[BibT_eX]

[DOI]

CoRR, 2023

Efficient Federated Prompt Tuning for Black-box Large Pre-trained Models.

[BibT_eX]

[DOI]

CoRR, 2023

Unlikelihood Tuning on Negative Samples Amazingly Improves Zero-Shot Translation.

[BibT_eX]

[DOI]

CoRR, 2023

Deep Model Fusion: A Survey.

[BibT_eX]

[DOI]

CoRR, 2023

Are Large Language Models Really Robust to Word-Level Perturbations?

[BibT_eX]

[DOI]

CoRR, 2023

FedLALR: Client-Specific Adaptive Learning Rates Achieve Linear Speedup for Non-IID Data.

[BibT_eX]

[DOI]

CoRR, 2023

Continual Learning From a Stream of APIs.

[BibT_eX]

[DOI]

CoRR, 2023

MerA: Merging Pretrained Adapters For Few-Shot Learning.

[BibT_eX]

[DOI]

CoRR, 2023

Can Linguistic Knowledge Improve Multimodal Alignment in Vision-Language Pretraining?

[BibT_eX]

[DOI]

CoRR, 2023

Master-slave Deep Architecture for Top-K Multi-armed Bandits with Non-linear Bandit Feedback and Diversity Constraints.

[BibT_eX]

[DOI]

CoRR, 2023

Towards Understanding the Generalizability of Delayed Stochastic Gradient Descent.

[BibT_eX]

[DOI]

CoRR, 2023

DFedADMM: Dual Constraints Controlled Model Inconsistency for Decentralized Federated Learning.

[BibT_eX]

[DOI]

CoRR, 2023

A Comprehensive Survey of Forgetting in Deep Learning Beyond Continual Learning.

[BibT_eX]

[DOI]

CoRR, 2023

Boosting Backdoor Attack with A Learnable Poisoning Sample Selection Strategy.

[BibT_eX]

[DOI]

CoRR, 2023

Systematic Investigation of Sparse Perturbed Sharpness-Aware Minimization Optimizer.

[BibT_eX]

[DOI]

CoRR, 2023

Instructed Diffuser with Temporal Condition Guidance for Offline Reinforcement Learning.

[BibT_eX]

[DOI]

CoRR, 2023

Towards More Suitable Personalization in Federated Learning via Decentralized Partial Model Training.

[BibT_eX]

[DOI]

CoRR, 2023

Prompt-Tuning Decision Transformer with Preference Ranking.

[BibT_eX]

[DOI]

CoRR, 2023

Towards the Flatter Landscape and Better Generalization in Federated Learning under Client-level Differential Privacy.

[BibT_eX]

[DOI]

CoRR, 2023

On Efficient Training of Large-Scale Deep Learning Models: A Literature Review.

[BibT_eX]

[DOI]

CoRR, 2023

Graph Decision Transformer.

[BibT_eX]

[DOI]

CoRR, 2023

SGDA: Towards 3D Universal Pulmonary Nodule Detection via Slice Grouped Domain Attention.

[BibT_eX]

[DOI]

CoRR, 2023

OmniForce: On Human-Centered, Large Model Empowered and Cloud-Edge Collaborative AutoML System.

[BibT_eX]

[DOI]

CoRR, 2023

Subspace based Federated Unlearning.

[BibT_eX]

[DOI]

CoRR, 2023

Bag of Tricks for Effective Language Model Pretraining and Downstream Adaptation: A Case Study on GLUE.

[BibT_eX]

[DOI]

CoRR, 2023

Enhance Local Consistency in Federated Learning: A Multi-Step Inertial Momentum Approach.

[BibT_eX]

[DOI]

CoRR, 2023

SaFormer: A Conditional Sequence Modeling Approach to Offline Safe Reinforcement Learning.

[BibT_eX]

[DOI]

CoRR, 2023

Enhancing Adversarial Training via Reweighting Optimization Trajectory.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning and Knowledge Discovery in Databases: Research Track, 2023

Stability and Generalization of the Decentralized Stochastic Gradient Descent Ascent Algorithm.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

An Efficient Dataset Condensation Plugin and Its Application to Continual Learning.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Defending against Data-Free Model Extraction by Distributionally Robust Defensive Training.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Understanding How Consistency Works in Federated Learning via Stage-wise Relaxed Initialization.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Towards Stable Backdoor Purification through Feature Shift Tuning.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Learning Better with Less: Effective Augmentation for Sample-Efficient Visual Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

FlatMatch: Bridging Labeled Data and Unlabeled Data with Cross-Sharpness for Semi-Supervised Learning.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Federated Learning with Manifold Regularization and Normalized Update Reaggregation.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Dynamic Sparsity Is Channel-Level Sparsity Learner.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

LGViT: Dynamic Early Exiting for Accelerating Vision Transformer.

[BibT_eX]

[DOI]

Proceedings of the 31st ACM International Conference on Multimedia, 2023

Off-policy Imitation Learning from Visual Inputs.

[BibT_eX]

[DOI]

Zhihao Cheng

Decebal Constantin Mocanu

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

CoCo: A Coupled Contrastive Framework for Unsupervised Domain Adaptive Graph Classification.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

Dynamic Regularized Sharpness Aware Minimization in Federated Learning: Approaching Global Consistency and Smooth Landscape.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

Improving the Model Consistency of Decentralized Federated Learning.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

Are Large Kernels Better Teachers than Transformers for ConvNets?

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

Learning to Learn from APIs: Black-Box Data-Free Meta-Learning.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

Towards One-shot Neural Combinatorial Solvers: Theoretical and Empirical Notes on the Cardinality-Constrained Case.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

FedSpeed: Larger Local Interval, Less Communication Round, and Higher Generalization Accuracy.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Harnessing Out-Of-Distribution Examples via Augmenting Content and Style.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Enhancing Fine-Tuning based Backdoor Defense with Sharpness-Aware Minimization.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Global Balanced Experts for Federated Long-Tailed Learning.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Data Augmented Flatness-aware Gradient Projection for Continual Learning.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Zero-shot Sharpness-Aware Quantization for Pre-trained Language Models.

[BibT_eX]

[DOI]

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Towards Making the Most of ChatGPT for Machine Translation.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Merging Experts into One: Improving Computational Efficiency of Mixture of Experts.

[BibT_eX]

[DOI]

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

MetaMix: Towards Corruption-Robust Continual Learning with Temporally Self-Adaptive Data Transformation.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Make Landscape Flatter in Differentially Private Federated Learning.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Robust Generalization Against Photon-Limited Corruptions via Worst-Case Sharpness Minimization.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Architecture, Dataset and Model-Scale Agnostic Data-free Meta-Learning.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Learning Meta Representations for Agents in Multi-Agent Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the Conference on Lifelong Learning Agents, 2023

Evaluating Model-Free Reinforcement Learning toward Safety-Critical Tasks.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

AdaTask: A Task-Aware Adaptive Learning Rate Approach to Multi-Task Learning.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

FedABC: Targeting Fair Competition in Personalized Federated Learning.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Offline Quantum Reinforcement Learning in a Conservative Manner.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

AlphaGAN: Fully Differentiable Architecture Search for Generative Adversarial Networks.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2022

Informative pairs mining based adaptive metric learning for adversarial domain adaptation.

[BibT_eX]

[DOI]

Neural Networks, 2022

Towards harnessing feature embedding for robust learning with noisy labels.

[BibT_eX]

[DOI]

Mach. Learn., 2022

Stochastic Client Selection for Federated Learning With Volatile Clients.

[BibT_eX]

[DOI]

IEEE Internet Things J., 2022

On Transforming Reinforcement Learning by Transformer: The Development Trajectory.

[BibT_eX]

[DOI]

CoRR, 2022

Toward Efficient Language Model Pretraining and Downstream Adaptation via Self-Evolution: A Case Study on SuperGLUE.

[BibT_eX]

[DOI]

CoRR, 2022

Strength-Adaptive Adversarial Training.

[BibT_eX]

[DOI]

CoRR, 2022

SafeRL-Kit: Evaluating Efficient Reinforcement Learning Methods for Safe Autonomous Driving.

[BibT_eX]

[DOI]

CoRR, 2022

Robust Weight Perturbation for Adversarial Training.

[BibT_eX]

[DOI]

CoRR, 2022

Bridging Cross-Lingual Gaps During Leveraging the Multilingual Sequence-to-Sequence Pretraining for Text Generation.

[BibT_eX]

[DOI]

CoRR, 2022

Robust Unlearnable Examples: Protecting Data Against Adversarial Learning.

[BibT_eX]

[DOI]

CoRR, 2022

Achieving Personalized Federated Learning with Sparse Local Models.

[BibT_eX]

[DOI]

CoRR, 2022

Meta-learning without data via Wasserstein distributionally-robust model fusion.

[BibT_eX]

[DOI]

Proceedings of the Uncertainty in Artificial Intelligence, 2022

Boosting the Transferability of Adversarial Attacks with Reverse Adversarial Perturbation.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Make Sharpness-Aware Minimization Stronger: A Sparsified Perturbation Approach.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

MissDAG: Causal Discovery in the Presence of Missing Data with Continuous Additive Noise Models.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

DEAL: An Unsupervised Domain Adaptive Framework for Graph-level Classification.

[BibT_eX]

[DOI]

Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

Safety Correction from Baseline: Towards the Risk-aware Policy in Robotics via Dual-agent Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

Penalized Proximal Policy Optimization for Safe Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Robust Weight Perturbation for Adversarial Training.

[BibT_eX]

[DOI]

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Understanding Robust Overfitting of Adversarial Training and Beyond.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2022

Improving Task-free Continual Learning by Distributionally Robust Memory Evolution.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2022

Deep Neural Network Fusion via Graph Matching with Applications to Model Ensemble and Federated Learning.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2022

DisPFL: Towards Communication-Efficient Personalized Federated Learning via Decentralized Sparse Training.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2022

The Unreasonable Effectiveness of Random Pruning: Return of the Most Naive Baseline for Sparse Training.

[BibT_eX]

[DOI]

Zhangyang Wang

Mykola Pechenizkiy

Proceedings of the Tenth International Conference on Learning Representations, 2022

Robust Unlearnable Examples: Protecting Data Privacy Against Adversarial Learning.

[BibT_eX]

[DOI]

Proceedings of the Tenth International Conference on Learning Representations, 2022

Improving Sharpness-Aware Minimization with Fisher Mask for Better Generalization on Language Models.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Meta-Learning with Less Forgetting on Large-Scale Non-Stationary Task Distributions.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2022, 2022

Fine-tuning Global Model via Data-Free Knowledge Distillation for Non-IID Federated Learning.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Learning to Learn and Remember Super Long Multi-Domain Task Sequence.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

On the Complementarity between Pre-Training and Random-Initialization for Resource-Rich Machine Translation.

[BibT_eX]

[DOI]

Proceedings of the 29th International Conference on Computational Linguistics, 2022

2021

Quantized Adam with Error Feedback.

[BibT_eX]

[DOI]

ACM Trans. Intell. Syst. Technol., 2021

UniFaceGAN: A Unified Framework for Temporally Consistent Facial Video Editing.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2021

Knowledge Distillation With Multi-Objective Divergence Learning.

[BibT_eX]

[DOI]

IEEE Signal Process. Lett., 2021

DGL-GAN: Discriminator Guided Learning for GAN Compression.

[BibT_eX]

[DOI]

CoRR, 2021

Spatial-Temporal-Fusion BNN: Variational Bayesian Feature Layer.

[BibT_eX]

[DOI]

CoRR, 2021

Federated Causal Discovery.

[BibT_eX]

[DOI]

CoRR, 2021

End-to-End Adaptive Monte Carlo Denoising and Super-Resolution.

[BibT_eX]

[DOI]

CoRR, 2021

Local AdaGrad-Type Algorithm for Stochastic Convex-Concave Minimax Problems.

[BibT_eX]

[DOI]

CoRR, 2021

Sparse Training via Boosting Pruning Plasticity with Neuroregeneration.

[BibT_eX]

[DOI]

Decebal Constantin Mocanu

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020

MAP Inference Via ℓ <sub>2</sub>-Sphere Linear Program Reformulation.

[BibT_eX]

[DOI]

Int. J. Comput. Vis., 2020

Task-agnostic Temporally Consistent Facial Video Editing.

[BibT_eX]

[DOI]

CoRR, 2020

Generalized Embedding Machines for Recommender Systems.

[BibT_eX]

[DOI]

CoRR, 2020

A Block Decomposition Algorithm for Sparse Optimization.

[BibT_eX]

[DOI]

Ganzhao Yuan

Wei-Shi Zheng

Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

2019

MAP Inference via L2-Sphere Linear Program Reformulation.

[BibT_eX]

[DOI]

CoRR, 2019

Discrete Trust-aware Matrix Factorization for Fast Recommendation.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

A Decomposition Algorithm for the Sparse Generalized Eigenvalue Problem.

[BibT_eX]

[DOI]

Ganzhao Yuan