Weili Nie
According to our database1,
Weili Nie
authored at least 47 papers
between 2014 and 2024.
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Bibliography
2024
Trans. Mach. Learn. Res., 2024
Unsupervised Discovery of Steerable Factors When Graph Deep Generative Models Are Entangled.
Trans. Mach. Learn. Res., 2024
State-specific protein-ligand complex structure prediction with a multiscale deep generative model.
Nat. Mac. Intell., 2024
T-Stitch: Accelerating Sampling in Pre-Trained Diffusion Models with Trajectory Stitching.
CoRR, 2024
Proceedings of the Twelfth International Conference on Learning Representations, 2024
2023
Nat. Mac. Intell., December, 2023
Int. J. High Perform. Comput. Appl., November, 2023
Dr-Fairness: Dynamic Data Ratio Adjustment for Fair Training on Real and Generated Data.
Trans. Mach. Learn. Res., 2023
DeepSpeed4Science Initiative: Enabling Large-Scale Scientific Discovery through Sophisticated AI System Technologies.
CoRR, 2023
Proceedings of the International Conference on Machine Learning, 2023
A Critical Revisit of Adversarial Robustness in 3D Point Cloud Recognition with Diffusion-Driven Purification.
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
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Re-ViLM: Retrieval-Augmented Visual Language Model for Zero and Few-Shot Image Captioning.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023
2022
Dynamic-Backbone Protein-Ligand Structure Prediction with Multiscale Generative Diffusion Models.
CoRR, 2022
PointDP: Diffusion-driven Purification against Adversarial Attacks on 3D Point Cloud Recognition.
CoRR, 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
Proceedings of the Tenth International Conference on Learning Representations, 2022
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022
2021
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
2020
CoRR, 2020
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Proceedings of the 37th International Conference on Machine Learning, 2020
2019
Proceedings of the Thirty-Fifth Conference on Uncertainty in Artificial Intelligence, 2019
Proceedings of the 7th International Conference on Learning Representations, 2019
2018
Proceedings of the Fifth Annual ACM Conference on Learning at Scale, 2018
A Theoretical Explanation for Perplexing Behaviors of Backpropagation-based Visualizations.
Proceedings of the 35th International Conference on Machine Learning, 2018
2017
IEEE Trans. Veh. Technol., 2017
2016
IEEE Trans. Veh. Technol., 2016
User-Centric Cross-Tier Base Station Clustering and Cooperation in Heterogeneous Networks: Rate Improvement and Energy Saving.
IEEE J. Sel. Areas Commun., 2016
2015
Proceedings of the 2015 IEEE International Conference on Communications, 2015
A Comparison Study of Coupled and Decoupled Uplink-Downlink Access in Heterogeneous Cellular Networks.
Proceedings of the 2015 IEEE Global Communications Conference, 2015
2014
Energy Efficiency of Cross-Tier Base Station Cooperation in Heterogeneous Cellular Networks.
CoRR, 2014
Energy-efficient base station cooperation in downlink heterogeneous cellular networks.
Proceedings of the IEEE Global Communications Conference, 2014