Liang Ding
Orcid: 0000-0001-8976-2084Affiliations:
- JD Explore Academy, JD.com Inc., NLP Group
- The University of Sydney, Sydney, Australia
According to our database1,
Liang Ding
authored at least 88 papers
between 2019 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
AdaSAM: Boosting sharpness-aware minimization with adaptive learning rate and momentum for training deep neural networks.
Neural Networks, January, 2024
IEEE Trans. Multim., 2024
ROSE Doesn't Do That: Boosting the Safety of Instruction-Tuned Large Language Models with Reverse Prompt Contrastive Decoding.
CoRR, 2024
POMP: Probability-driven Meta-graph Prompter for LLMs in Low-resource Unsupervised Neural Machine Translation.
CoRR, 2024
2023
Efficient Federated Learning Via Local Adaptive Amended Optimizer With Linear Speedup.
IEEE Trans. Pattern Anal. Mach. Intell., December, 2023
A perioperative risk assessment dataset with multi-view data based on online accelerated pairwise comparison.
Inf. Fusion, November, 2023
Knowledge Graph Augmented Network Towards Multiview Representation Learning for Aspect-Based Sentiment Analysis.
IEEE Trans. Knowl. Data Eng., October, 2023
Int. J. Mach. Learn. Cybern., April, 2023
Unified Instance and Knowledge Alignment Pretraining for Aspect-Based Sentiment Analysis.
IEEE ACM Trans. Audio Speech Lang. Process., 2023
SpliceMix: A Cross-scale and Semantic Blending Augmentation Strategy for Multi-label Image Classification.
CoRR, 2023
Diversifying the Mixture-of-Experts Representation for Language Models with Orthogonal Optimizer.
CoRR, 2023
CoRR, 2023
CoRR, 2023
Can Linguistic Knowledge Improve Multimodal Alignment in Vision-Language Pretraining?
CoRR, 2023
Self-Evolution Learning for Mixup: Enhance Data Augmentation on Few-Shot Text Classification Tasks.
CoRR, 2023
CoRR, 2023
Error Analysis Prompting Enables Human-Like Translation Evaluation in Large Language Models: A Case Study on ChatGPT.
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
CoRR, 2023
Bag of Tricks for Effective Language Model Pretraining and Downstream Adaptation: A Case Study on GLUE.
CoRR, 2023
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023
MPipeMoE: Memory Efficient MoE for Pre-trained Models with Adaptive Pipeline Parallelism.
Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2023
Proceedings of the International Joint Conference on Neural Networks, 2023
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023
Dynamic Regularized Sharpness Aware Minimization in Federated Learning: Approaching Global Consistency and Smooth Landscape.
Proceedings of the International Conference on Machine Learning, 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 2023 Conference on Empirical Methods in Natural Language Processing, 2023
Self-Evolution Learning for Mixup: Enhance Data Augmentation on Few-Shot Text Classification Tasks.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 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
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023
Divide, Conquer, and Combine: Mixture of Semantic-Independent Experts for Zero-Shot Dialogue State Tracking.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2023
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
2022
Original or Translated? On the Use of Parallel Data for Translation Quality Estimation.
CoRR, 2022
Toward Efficient Language Model Pretraining and Downstream Adaptation via Self-Evolution: A Case Study on SuperGLUE.
CoRR, 2022
CoRR, 2022
CoRR, 2022
CoRR, 2022
CoRR, 2022
E2S2: Encoding-Enhanced Sequence-to-Sequence Pretraining for Language Understanding and Generation.
CoRR, 2022
BLISS: Robust Sequence-to-Sequence Learning via Self-Supervised Input Representation.
CoRR, 2022
Bridging Cross-Lingual Gaps During Leveraging the Multilingual Sequence-to-Sequence Pretraining for Text Generation.
CoRR, 2022
Proceedings of the Seventh Conference on Machine Translation, 2022
Where Does the Performance Improvement Come From?: - A Reproducibility Concern about Image-Text Retrieval.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022
MirrorAlign: A Super Lightweight Unsupervised Word Alignment Model via Cross-Lingual Contrastive Learning.
Proceedings of the 19th International Conference on Spoken Language Translation, 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 Findings of the Association for Computational Linguistics: EMNLP 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
On the Complementarity between Pre-Training and Random-Initialization for Resource-Rich Machine Translation.
Proceedings of the 29th International Conference on Computational Linguistics, 2022
A Contrastive Cross-Channel Data Augmentation Framework for Aspect-Based Sentiment Analysis.
Proceedings of the 29th International Conference on Computational Linguistics, 2022
Redistributing Low-Frequency Words: Making the Most of Monolingual Data in Non-Autoregressive Translation.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022
2021
Bridging the Gap Between Clean Data Training and Real-World Inference for Spoken Language Understanding.
CoRR, 2021
SLUA: A Super Lightweight Unsupervised Word Alignment Model via Cross-Lingual Contrastive Learning.
CoRR, 2021
Proceedings of the 18th International Conference on Spoken Language Translation, 2021
Proceedings of the 9th International Conference on Learning Representations, 2021
Proceedings of the 9th International Conference on Learning Representations, 2021
Proceedings of the IEEE International Conference on Acoustics, 2021
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021
On the Complementarity between Pre-Training and Back-Translation for Neural Machine Translation.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021
Rejuvenating Low-Frequency Words: Making the Most of Parallel Data in Non-Autoregressive Translation.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021
2020
Proceedings of the Fifth Conference on Machine Translation, 2020
Proceedings of the 28th International Conference on Computational Linguistics, 2020
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020
2019
Proceedings of the Fourth Conference on Machine Translation, 2019