Jiaxin Huang
Orcid: 0000-0001-8095-3343Affiliations:
- University of Illinois Urbana-Champaign, IL, USA
- Tsinghua University, Department of Electronic Engineering, Beijing, China (former)
According to our database1,
Jiaxin Huang
authored at least 33 papers
between 2016 and 2023.
Collaborative distances:
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Bibliography
2023
Proceedings of the Companion Proceedings of the ACM Web Conference 2023, 2023
Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023
Pretrained Language Representations for Text Understanding: A Weakly-Supervised Perspective.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023
Tuning Language Models as Training Data Generators for Augmentation-Enhanced Few-Shot Learning.
Proceedings of the International Conference on Machine Learning, 2023
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023
2022
All Birds with One Stone: Multi-task Text Classification for Efficient Inference with One Forward Pass.
CoRR, 2022
Topic Discovery via Latent Space Clustering of Pretrained Language Model Representations.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022
Generating Training Data with Language Models: Towards Zero-Shot Language Understanding.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Few-Shot Fine-Grained Entity Typing with Automatic Label Interpretation and Instance Generation.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022
2021
On the Power of Pre-Trained Text Representations: Models and Applications in Text Mining.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021
Distantly-Supervised Named Entity Recognition with Noise-Robust Learning and Language Model Augmented Self-Training.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021
2020
Frontiers Big Data, 2020
Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020
Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020
CoRel: Seed-Guided Topical Taxonomy Construction by Concept Learning and Relation Transferring.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020
Weakly-Supervised Aspect-Based Sentiment Analysis via Joint Aspect-Sentiment Topic Embedding.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020
2019
Proc. VLDB Endow., 2019
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019
2018
Temporal-Spatial Mobile Application Usage Understanding and Popularity Prediction for Edge Caching.
IEEE Wirel. Commun., 2018
Proc. ACM Hum. Comput. Interact., 2018
2017
Proceedings of the 14th IEEE International Conference on Mobile Ad Hoc and Sensor Systems, 2017
Proceedings of the 2017 IEEE Global Communications Conference, 2017
2016
Big Data Driven Mobile Traffic Understanding and Forecasting: A Time Series Approach.
IEEE Trans. Serv. Comput., 2016