Wei-Cheng Chang

Publication Activity (10 Years)

Years Active: 2008-2024
Publications (10 Years): 49

Top Topics

Semantic Matching

Text Classification

Semidefinite Program

Top Venues

J. Mach. Learn. Res.

Publications

Xiusi Chen, Jyun-Yu Jiang, Wei-Cheng Chang, Cho-Jui Hsieh, Hsiang-Fu Yu, Wei Wang
MinPrompt: Graph-based Minimal Prompt Data Augmentation for Few-shot Question Answering. ACL (1) (2024)
Jyun-Yu Jiang, Wei-Cheng Chang, Jiong Zhang, Cho-Jui Hsieh, Hsiang-Fu Yu
Entity Disambiguation with Extreme Multi-label Ranking. WWW (2024)
Wei-Cheng Chang, Jyun-Yu Jiang, Jiong Zhang, Mutasem Al-Darabsah, Choon Hui Teo, Cho-Jui Hsieh, Hsiang-Fu Yu, S. V. N. Vishwanathan
PEFA: Parameter-Free Adapters for Large-scale Embedding-based Retrieval Models. WSDM (2024)
Wei-Cheng Chang, Jyun-Yu Jiang, Jiong Zhang, Mutasem Al-Darabsah, Choon Hui Teo, Cho-Jui Hsieh, Hsiang-Fu Yu, S. V. N. Vishwanathan
PEFA: Parameter-Free Adapters for Large-scale Embedding-based Retrieval Models. CoRR (2023)
Jyun-Yu Jiang, Wei-Cheng Chang, Jiong Zhang, Cho-Jui Hsieh, Hsiang-Fu Yu
Uncertainty Quantification for Extreme Classification. SIGIR (2023)
Patrick H. Chen, Wei-Cheng Chang, Jyun-Yu Jiang, Hsiang-Fu Yu, Inderjit S. Dhillon, Cho-Jui Hsieh
FINGER: Fast Inference for Graph-based Approximate Nearest Neighbor Search. WWW (2023)
Eli Chien, Jiong Zhang, Cho-Jui Hsieh, Jyun-Yu Jiang, Wei-Cheng Chang, Olgica Milenkovic, Hsiang-Fu Yu
PINA: Leveraging Side Information in eXtreme Multi-label Classification via Predicted Instance Neighborhood Aggregation. ICML (2023)
Xiusi Chen, Jyun-Yu Jiang, Wei-Cheng Chang, Cho-Jui Hsieh, Hsiang-Fu Yu, Wei Wang
MinPrompt: Graph-based Minimal Prompt Data Augmentation for Few-shot Question Answering. CoRR (2023)
Jiong Zhang, Yau-Shian Wang, Wei-Cheng Chang, Wei Li, Jyun-Yu Jiang, Cho-Jui Hsieh, Hsiang-Fu Yu
Build Faster with Less: A Journey to Accelerate Sparse Model Building for Semantic Matching in Product Search. CIKM (2023)
Eli Chien, Jiong Zhang, Cho-Jui Hsieh, Jyun-Yu Jiang, Wei-Cheng Chang, Olgica Milenkovic, Hsiang-Fu Yu
PINA: Leveraging Side Information in eXtreme Multi-label Classification via Predicted Instance Neighborhood Aggregation. CoRR (2023)
Yuanhao Xiong, Wei-Cheng Chang, Cho-Jui Hsieh, Hsiang-Fu Yu, Inderjit S. Dhillon
Extreme Zero-Shot Learning for Extreme Text Classification. NAACL-HLT (2022)
Eli Chien, Wei-Cheng Chang, Cho-Jui Hsieh, Hsiang-Fu Yu, Jiong Zhang, Olgica Milenkovic, Inderjit S. Dhillon
Node Feature Extraction by Self-Supervised Multi-scale Neighborhood Prediction. ICLR (2022)
Hsiang-Fu Yu, Jiong Zhang, Wei-Cheng Chang, Jyun-Yu Jiang, Wei Li, Cho-Jui Hsieh
PECOS: Prediction for Enormous and Correlated Output Spaces. KDD (2022)
Hsiang-Fu Yu, Kai Zhong, Jiong Zhang, Wei-Cheng Chang, Inderjit S. Dhillon
PECOS: Prediction for Enormous and Correlated Output Spaces. J. Mach. Learn. Res. 23 (2022)
Jyun-Yu Jiang, Wei-Cheng Chang, Jiong Zhang, Cho-Jui Hsieh, Hsiang-Fu Yu
Relevance under the Iceberg: Reasonable Prediction for Extreme Multi-label Classification. SIGIR (2022)
Patrick H. Chen, Wei-Cheng Chang, Hsiang-Fu Yu, Inderjit S. Dhillon, Cho-Jui Hsieh
FINGER: Fast Inference for Graph-based Approximate Nearest Neighbor Search. CoRR (2022)
Jyun-Yu Jiang, Wei-Cheng Chang, Jiong Zhang, Cho-Jui Hsieh, Hsiang-Fu Yu
Uncertainty in Extreme Multi-label Classification. CoRR (2022)
Jiong Zhang, Wei-Cheng Chang, Hsiang-Fu Yu, Inderjit S. Dhillon
Fast Multi-Resolution Transformer Fine-tuning for Extreme Multi-label Text Classification. CoRR (2021)
Eli Chien, Wei-Cheng Chang, Cho-Jui Hsieh, Hsiang-Fu Yu, Jiong Zhang, Olgica Milenkovic, Inderjit S. Dhillon
Node Feature Extraction by Self-Supervised Multi-scale Neighborhood Prediction. CoRR (2021)
Wei-Cheng Chang, Daniel Jiang, Hsiang-Fu Yu, Choon-Hui Teo, Jiong Zhang, Kai Zhong, Kedarnath Kolluri, Qie Hu, Nikhil Shandilya, Vyacheslav Ievgrafov, Japinder Singh, Inderjit S. Dhillon
Extreme Multi-label Learning for Semantic Matching in Product Search. CoRR (2021)
Wei-Cheng Chang, Daniel Jiang, Hsiang-Fu Yu, Choon-Hui Teo, Jiong Zhang, Kai Zhong, Kedarnath Kolluri, Qie Hu, Nikhil Shandilya, Vyacheslav Ievgrafov, Japinder Singh, Inderjit S. Dhillon
Extreme Multi-label Learning for Semantic Matching in Product Search. KDD (2021)
Jiong Zhang, Wei-Cheng Chang, Hsiang-Fu Yu, Inderjit S. Dhillon
Fast Multi-Resolution Transformer Fine-tuning for Extreme Multi-label Text Classification. NeurIPS (2021)
Xuanqing Liu, Wei-Cheng Chang, Hsiang-Fu Yu, Cho-Jui Hsieh, Inderjit S. Dhillon
Label Disentanglement in Partition-based Extreme Multilabel Classification. NeurIPS (2021)
Yuanhao Xiong, Wei-Cheng Chang, Cho-Jui Hsieh, Hsiang-Fu Yu, Inderjit S. Dhillon
Extreme Zero-Shot Learning for Extreme Text Classification. CoRR (2021)
Xuanqing Liu, Wei-Cheng Chang, Hsiang-Fu Yu, Cho-Jui Hsieh, Inderjit S. Dhillon
Label Disentanglement in Partition-based Extreme Multilabel Classification. CoRR (2021)
Wei-Cheng Chang, Hsiang-Fu Yu, Kai Zhong, Yiming Yang, Inderjit S. Dhillon
Taming Pretrained Transformers for Extreme Multi-label Text Classification. KDD (2020)
Wei-Cheng Chang, Felix X. Yu, Yin-Wen Chang, Yiming Yang, Sanjiv Kumar
Pre-training Tasks for Embedding-based Large-scale Retrieval. CoRR (2020)
Ruohong Zhang, Yu Hao, Donghan Yu, Wei-Cheng Chang, Guokun Lai, Yiming Yang
Correlation-Aware Change-Point Detection via Graph Neural Networks. ICONIP (3) (2020)
Ruohong Zhang, Yu Hao, Donghan Yu, Wei-Cheng Chang, Guokun Lai, Yiming Yang
Explainable Unsupervised Change-point Detection via Graph Neural Networks. CoRR (2020)
Wei-Cheng Chang, Felix X. Yu, Yin-Wen Chang, Yiming Yang, Sanjiv Kumar
Pre-training Tasks for Embedding-based Large-scale Retrieval. ICLR (2020)
Wei-Cheng Chang, Chun-Liang Li, Youssef Mroueh, Yiming Yang
Kernel Stein Generative Modeling. CoRR (2020)
Chun-Liang Li, Wei-Cheng Chang, Youssef Mroueh, Yiming Yang, Barnabás Póczos
Implicit Kernel Learning. CoRR (2019)
Wei-Cheng Chang, Chun-Liang Li, Yiming Yang, Barnabás Póczos
Kernel Change-point Detection with Auxiliary Deep Generative Models. ICLR (Poster) (2019)
Wei-Cheng Chang, Chun-Liang Li, Yiming Yang, Barnabás Póczos
Kernel Change-point Detection with Auxiliary Deep Generative Models. CoRR (2019)
Wei-Cheng Chang, Hsiang-Fu Yu, Kai Zhong, Yiming Yang, Inderjit S. Dhillon
A Modular Deep Learning Approach for Extreme Multi-label Text Classification. CoRR (2019)
Der-Lor Way, Wei-Cheng Chang, Zen-Chung Shih
Deep Learning for Anime Style Transfer. ICAIP (2019)
Yong-Siang Shih, Wei-Cheng Chang, Yiming Yang
XL-Editor: Post-editing Sentences with XLNet. CoRR (2019)
Chun-Liang Li, Wei-Cheng Chang, Youssef Mroueh, Yiming Yang, Barnabás Póczos
Implicit Kernel Learning. AISTATS (2019)
Junjie Hu, Wei-Cheng Chang, Yuexin Wu, Graham Neubig
Contextual Encoding for Translation Quality Estimation. CoRR (2018)
Junjie Hu, Wei-Cheng Chang, Yuexin Wu, Graham Neubig
Contextual Encoding for Translation Quality Estimation. WMT (shared task) (2018)
Guokun Lai, Wei-Cheng Chang, Yiming Yang, Hanxiao Liu
Modeling Long- and Short-Term Temporal Patterns with Deep Neural Networks. SIGIR (2018)
Jingzhou Liu, Wei-Cheng Chang, Yuexin Wu, Yiming Yang
Deep Learning for Extreme Multi-label Text Classification. SIGIR (2017)
Chun-Liang Li, Wei-Cheng Chang, Yu Cheng, Yiming Yang, Barnabás Póczos
MMD GAN: Towards Deeper Understanding of Moment Matching Network. NIPS (2017)
Wei-Cheng Chang, Chun-Liang Li, Yiming Yang, Barnabás Póczos
Data-driven Random Fourier Features using Stein Effect. CoRR (2017)
Wei-Cheng Chang, Yuexin Wu, Hanxiao Liu, Yiming Yang
Cross-Domain Kernel Induction for Transfer Learning. AAAI (2017)
Chun-Liang Li, Wei-Cheng Chang, Yu Cheng, Yiming Yang, Barnabás Póczos
MMD GAN: Towards Deeper Understanding of Moment Matching Network. CoRR (2017)
Guokun Lai, Wei-Cheng Chang, Yiming Yang, Hanxiao Liu
Modeling Long- and Short-Term Temporal Patterns with Deep Neural Networks. CoRR (2017)
Po-Wei Wang, Wei-Cheng Chang, J. Zico Kolter
The Mixing method: coordinate descent for low-rank semidefinite programming. CoRR (2017)
Wei-Cheng Chang, Chun-Liang Li, Yiming Yang, Barnabás Póczos
Data-driven Random Fourier Features using Stein Effect. IJCAI (2017)
Pei-Jung Lin, Sheng-Chang Chen, Chuan-Heng Yeh, Wei-Cheng Chang
Implementation of a smartphone sensing system with social networks: a location-aware mobile application. Multim. Tools Appl. 74 (19) (2015)
Chun-Liang Li, Yu-Chuan Su, Ting-Wei Lin, Cheng-Hao Tsai, Wei-Cheng Chang, Kuan-Hao Huang, Tzu-Ming Kuo, Shan-Wei Lin, Young-San Lin, Yu-Chen Lu, Chun-Pai Yang, Cheng-Xia Chang, Wei-Sheng Chin, Yu-Chin Juan, Hsiao-Yu Tung, Jui-Pin Wang, Cheng-Kuang Wei, Felix Wu, Tu-Chun Yin, Tong Yu, Yong Zhuang, Shou-De Lin, Hsuan-Tien Lin, Chih-Jen Lin
Combination of feature engineering and ranking models for paper-author identification in KDD cup 2013. J. Mach. Learn. Res. 16 (2015)
Wei-Sheng Chin, Yong Zhuang, Yu-Chin Juan, Felix Wu, Hsiao-Yu Tung, Tong Yu, Jui-Pin Wang, Cheng-Xia Chang, Chun-Pai Yang, Wei-Cheng Chang, Kuan-Hao Huang, Tzu-Ming Kuo, Shan-Wei Lin, Young-San Lin, Yu-Chen Lu, Yu-Chuan Su, Cheng-Kuang Wei, Tu-Chun Yin, Chun-Liang Li, Ting-Wei Lin, Cheng-Hao Tsai, Shou-De Lin, Hsuan-Tien Lin, Chih-Jen Lin
Effective string processing and matching for author disambiguation. J. Mach. Learn. Res. 15 (1) (2014)
Wei-Sheng Chin, Yu-Chin Juan, Yong Zhuang, Felix Wu, Hsiao-Yu Tung, Tong Yu, Jui-Pin Wang, Cheng-Xia Chang, Chun-Pai Yang, Wei-Cheng Chang, Kuan-Hao Huang, Tzu-Ming Kuo, Shan-Wei Lin, Young-San Lin, Yu-Chen Lu, Yu-Chuan Su, Cheng-Kuang Wei, Tu-Chun Yin, Chun-Liang Li, Ting-Wei Lin, Cheng-Hao Tsai, Shou-De Lin, Hsuan-Tien Lin, Chih-Jen Lin
Effective string processing and matching for author disambiguation. KDD Cup (2013)
Chun-Liang Li, Yu-Chuan Su, Ting-Wei Lin, Cheng-Hao Tsai, Wei-Cheng Chang, Kuan-Hao Huang, Tzu-Ming Kuo, Shan-Wei Lin, Young-San Lin, Yu-Chen Lu, Chun-Pai Yang, Cheng-Xia Chang, Wei-Sheng Chin, Yu-Chin Juan, Hsiao-Yu Tung, Jui-Pin Wang, Cheng-Kuang Wei, Felix Wu, Tu-Chun Yin, Tong Yu, Yong Zhuang, Shou-de Lin, Hsuan-Tien Lin, Chih-Jen Lin
Combination of feature engineering and ranking models for paper-author identification in KDD Cup 2013. KDD Cup (2013)
Yu-Kun Lin, De-Wei Li, Chia-Chun Lin, Tzu-Yun Kuo, Sian-Jin Wu, Wei-Cheng Tai, Wei-Cheng Chang, Tian-Sheuan Chang
1080p H.264/AVC High-Profile Encoder Chip. ISSCC (2008)
Yu-Kun Lin, De-Wei Li, Chia-Chun Lin, Tzu-Yun Kuo, Sian-Jin Wu, Wei-Cheng Tai, Wei-Cheng Chang, Tian-Sheuan Chang
1080p H.264/AVC high profile encoder chip. DAC (2008)