Haoming Jiang
According to our database1,
Haoming Jiang
authored at least 52 papers
between 2018 and 2023.
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Bibliography
2023
CoRR, 2023
Amazon-M2: A Multilingual Multi-locale Shopping Session Dataset for Recommendation and Text Generation.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
LightToken: A Task and Model-agnostic Lightweight Token Embedding Framework for Pre-trained Language Models.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023
SMURF-THP: Score Matching-based UnceRtainty quantiFication for Transformer Hawkes Process.
Proceedings of the International Conference on Machine Learning, 2023
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023
SST: Semantic and Structural Transformers for Hierarchy-aware Language Models in E-commerce.
Proceedings of the IEEE International Conference on Big Data, 2023
Context-Aware Query Rewriting for Improving Users' Search Experience on E-commerce Websites.
Proceedings of the The 61st Annual Meeting of the Association for Computational Linguistics: Industry Track, 2023
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023
2022
Short Text Pre-training with Extended Token Classification for E-commerce Query Understanding.
CoRR, 2022
Proceedings of the RecSys '22: Sixteenth ACM Conference on Recommender Systems, Seattle, WA, USA, September 18, 2022
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022
SEQZERO: Few-shot Compositional Semantic Parsing with Sequential Prompts and Zero-shot Models.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022
Proceedings of the Learning on Graphs Conference, 2022
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022
No Parameters Left Behind: Sensitivity Guided Adaptive Learning Rate for Training Large Transformer Models.
Proceedings of the Tenth International Conference on Learning Representations, 2022
Multilingual Knowledge Graph Completion with Self-Supervised Adaptive Graph Alignment.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022
2021
PhD thesis, 2021
CoRR, 2021
Fine-Tuning Pre-trained Language Model with Weak Supervision: A Contrastive-Regularized Self-Training Approach.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021
Towards Automatic Evaluation of Dialog Systems: A Model-Free Off-Policy Evaluation Approach.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021
Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021
Super Tickets in Pre-Trained Language Models: From Model Compression to Improving Generalization.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021
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 KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020
Proceedings of the 37th International Conference on Machine Learning, 2020
Proceedings of the 37th International Conference on Machine Learning, 2020
Proceedings of the 8th International Conference on Learning Representations, 2020
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020
Multi-Domain Neural Machine Translation with Word-Level Adaptive Layer-wise Domain Mixing.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020
SMART: Robust and Efficient Fine-Tuning for Pre-trained Natural Language Models through Principled Regularized Optimization.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020
2019
Comput. Animat. Virtual Worlds, 2019
Picasso: A Sparse Learning Library for High Dimensional Data Analysis in R and Python.
J. Mach. Learn. Res., 2019
On Fast Convergence of Proximal Algorithms for SQRT-Lasso Optimization: Don't Worry About its Nonsmooth Loss Function.
Proceedings of the Thirty-Fifth Conference on Uncertainty in Artificial Intelligence, 2019
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019
Efficient Approximation of Deep ReLU Networks for Functions on Low Dimensional Manifolds.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019
Proceedings of the Deep Generative Models for Highly Structured Data, 2019
On Computation and Generalization of Generative Adversarial Networks under Spectrum Control.
Proceedings of the 7th International Conference on Learning Representations, 2019
Proceedings of the Deep Generative Models for Highly Structured Data, 2019
Proceedings of the 5th Workshop on Noisy User-generated Text, 2019
2018