Wei-Cheng Chang

According to our database1, Wei-Cheng Chang authored at least 27 papers between 2008 and 2022.

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Bibliography

2022
FINGER: Fast Inference for Graph-based Approximate Nearest Neighbor Search.
CoRR, 2022

Relevance under the Iceberg: Reasonable Prediction for Extreme Multi-label Classification.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Extreme Zero-Shot Learning for Extreme Text Classification.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

2021
Node Feature Extraction by Self-Supervised Multi-scale Neighborhood Prediction.
CoRR, 2021

Fast Multi-Resolution Transformer Fine-tuning for Extreme Multi-label Text Classification.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Label Disentanglement in Partition-based Extreme Multilabel Classification.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Extreme Multi-label Learning for Semantic Matching in Product Search.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

2020
Kernel Stein Generative Modeling.
CoRR, 2020

Explainable Unsupervised Change-point Detection via Graph Neural Networks.
CoRR, 2020

Taming Pretrained Transformers for Extreme Multi-label Text Classification.
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020

Correlation-Aware Change-Point Detection via Graph Neural Networks.
Proceedings of the Neural Information Processing - 27th International Conference, 2020

Pre-training Tasks for Embedding-based Large-scale Retrieval.
Proceedings of the 8th International Conference on Learning Representations, 2020

2019
XL-Editor: Post-editing Sentences with XLNet.
CoRR, 2019

A Modular Deep Learning Approach for Extreme Multi-label Text Classification.
CoRR, 2019

Kernel Change-point Detection with Auxiliary Deep Generative Models.
Proceedings of the 7th International Conference on Learning Representations, 2019

Implicit Kernel Learning.
Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019

2018
Contextual Encoding for Translation Quality Estimation.
Proceedings of the Third Conference on Machine Translation: Shared Task Papers, 2018

Modeling Long- and Short-Term Temporal Patterns with Deep Neural Networks.
Proceedings of the 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, 2018

2017
The Mixing method: coordinate descent for low-rank semidefinite programming.
CoRR, 2017

Deep Learning for Extreme Multi-label Text Classification.
Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2017

MMD GAN: Towards Deeper Understanding of Moment Matching Network.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Data-driven Random Fourier Features using Stein Effect.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Cross-Domain Kernel Induction for Transfer Learning.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2015
Implementation of a smartphone sensing system with social networks: a location-aware mobile application.
Multim. Tools Appl., 2015

Combination of feature engineering and ranking models for paper-author identification in KDD cup 2013.
J. Mach. Learn. Res., 2015

2014
Effective string processing and matching for author disambiguation.
J. Mach. Learn. Res., 2014

2008
A 242mW 10mm<sup>2</sup> 1080p H.264/AVC High-Profile Encoder Chip.
Proceedings of the 2008 IEEE International Solid-State Circuits Conference, 2008


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