Li Shen
Orcid: 0000-0001-5659-3464Affiliations:
- Tencent, Shenzhen, China
- JD Explore Academy, Beijing, China
According to our database1,
Li Shen
authored at least 120 papers
between 2018 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
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Bibliography
2024
Messages are Never Propagated Alone: Collaborative Hypergraph Neural Network for Time-Series Forecasting.
IEEE Trans. Pattern Anal. Mach. Intell., April, 2024
AdaSAM: Boosting sharpness-aware minimization with adaptive learning rate and momentum for training deep neural networks.
Neural Networks, January, 2024
2023
IEEE Trans. Knowl. Data Eng., December, 2023
Distributionally Robust Memory Evolution With Generalized Divergence for Continual Learning.
IEEE Trans. Pattern Anal. Mach. Intell., December, 2023
Efficient Federated Learning Via Local Adaptive Amended Optimizer With Linear Speedup.
IEEE Trans. Pattern Anal. Mach. Intell., December, 2023
IEEE Trans. Pattern Anal. Mach. Intell., October, 2023
Int. J. Comput. Vis., October, 2023
IEEE Trans. Circuits Syst. Video Technol., August, 2023
Differentiable Neural Architecture Search for Extremely Lightweight Image Super-Resolution.
IEEE Trans. Circuits Syst. Video Technol., June, 2023
IEEE Trans. Pattern Anal. Mach. Intell., June, 2023
IEEE Trans. Signal Process., 2023
Trans. Mach. Learn. Res., 2023
J. Electronic Imaging, 2023
Concrete Subspace Learning based Interference Elimination for Multi-task Model Fusion.
CoRR, 2023
Stability and Generalization of the Decentralized Stochastic Gradient Descent Ascent Algorithm.
CoRR, 2023
Winning Prize Comes from Losing Tickets: Improve Invariant Learning by Exploring Variant Parameters for Out-of-Distribution Generalization.
CoRR, 2023
Diversifying the Mixture-of-Experts Representation for Language Models with Orthogonal Optimizer.
CoRR, 2023
Revisiting Plasticity in Visual Reinforcement Learning: Data, Modules and Training Stages.
CoRR, 2023
CoRR, 2023
CoRR, 2023
FedLALR: Client-Specific Adaptive Learning Rates Achieve Linear Speedup for Non-IID Data.
CoRR, 2023
Can Linguistic Knowledge Improve Multimodal Alignment in Vision-Language Pretraining?
CoRR, 2023
Master-slave Deep Architecture for Top-K Multi-armed Bandits with Non-linear Bandit Feedback and Diversity Constraints.
CoRR, 2023
CoRR, 2023
DFedADMM: Dual Constraints Controlled Model Inconsistency for Decentralized Federated Learning.
CoRR, 2023
CoRR, 2023
CoRR, 2023
CoRR, 2023
Understanding How Consistency Works in Federated Learning via Stage-wise Relaxed Initialization.
CoRR, 2023
Instructed Diffuser with Temporal Condition Guidance for Offline Reinforcement Learning.
CoRR, 2023
Learning Better with Less: Effective Augmentation for Sample-Efficient Visual Reinforcement Learning.
CoRR, 2023
Towards More Suitable Personalization in Federated Learning via Decentralized Partial Model Training.
CoRR, 2023
Towards the Flatter Landscape and Better Generalization in Federated Learning under Client-level Differential Privacy.
CoRR, 2023
CoRR, 2023
AdaSAM: Boosting Sharpness-Aware Minimization with Adaptive Learning Rate and Momentum for Training Deep Neural Networks.
CoRR, 2023
OmniForce: On Human-Centered, Large Model Empowered and Cloud-Edge Collaborative AutoML System.
CoRR, 2023
Bag of Tricks for Effective Language Model Pretraining and Downstream Adaptation: A Case Study on GLUE.
CoRR, 2023
Enhance Local Consistency in Federated Learning: A Multi-Step Inertial Momentum Approach.
CoRR, 2023
SaFormer: A Conditional Sequence Modeling Approach to Offline Safe Reinforcement Learning.
CoRR, 2023
Proceedings of the Machine Learning and Knowledge Discovery in Databases: Research Track, 2023
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.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the 31st ACM International Conference on Multimedia, 2023
Proceedings of the IEEE International Conference on Robotics and Automation, 2023
Dynamic Regularized Sharpness Aware Minimization in Federated Learning: Approaching Global Consistency and Smooth Landscape.
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
Towards One-shot Neural Combinatorial Solvers: Theoretical and Empirical Notes on the Cardinality-Constrained Case.
Proceedings of the Eleventh International Conference on Learning Representations, 2023
FedSpeed: Larger Local Interval, Less Communication Round, and Higher Generalization Accuracy.
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023
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.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
Robust Generalization Against Photon-Limited Corruptions via Worst-Case Sharpness Minimization.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
Proceedings of the Conference on Lifelong Learning Agents, 2023
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
2022
AlphaGAN: Fully Differentiable Architecture Search for Generative Adversarial Networks.
IEEE Trans. Pattern Anal. Mach. Intell., 2022
IEEE Internet Things J., 2022
CoRR, 2022
Toward Efficient Language Model Pretraining and Downstream Adaptation via Self-Evolution: A Case Study on SuperGLUE.
CoRR, 2022
SafeRL-Kit: Evaluating Efficient Reinforcement Learning Methods for Safe Autonomous Driving.
CoRR, 2022
Bridging Cross-Lingual Gaps During Leveraging the Multilingual Sequence-to-Sequence Pretraining for Text Generation.
CoRR, 2022
CoRR, 2022
Proceedings of the Uncertainty in Artificial Intelligence, 2022
Boosting the Transferability of Adversarial Attacks with Reverse Adversarial Perturbation.
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
MissDAG: Causal Discovery in the Presence of Missing Data with Continuous Additive Noise Models.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Safety Correction from Baseline: Towards the Risk-aware Policy in Robotics via Dual-agent Reinforcement Learning.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022
Proceedings of the International Conference on Machine Learning, 2022
Proceedings of the International Conference on Machine Learning, 2022
DisPFL: Towards Communication-Efficient Personalized Federated Learning via Decentralized Sparse Training.
Proceedings of the International Conference on Machine Learning, 2022
The Unreasonable Effectiveness of Random Pruning: Return of the Most Naive Baseline for Sparse Training.
Proceedings of the Tenth International Conference on Learning Representations, 2022
Proceedings of the Tenth International Conference on Learning Representations, 2022
Improving Sharpness-Aware Minimization with Fisher Mask for Better Generalization on Language Models.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022
Proceedings of the Computer Vision - ECCV 2022, 2022
Fine-tuning Global Model via Data-Free Knowledge Distillation for Non-IID Federated Learning.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022
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.
Proceedings of the 29th International Conference on Computational Linguistics, 2022
2021
IEEE Trans. Image Process., 2021
IEEE Signal Process. Lett., 2021
CoRR, 2021
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
2020
Int. J. Comput. Vis., 2020
2019
2018