A 242mW, 10mm21080p H.264/AVC high profile encoder chip. - Yu-Kun Lin; De-Wei Li; Chia-Chun Lin; Tzu-Yun Kuo; Sian-Jin Wu; Wei-Cheng Tai; Wei-Cheng Chang; Tian-Sheuan Chang (DAC, 2008)

Effective string processing and matching for author disambiguation. - Wei-Sheng Chin; Yong Zhuang; Yu-Chin Juan; Felix Wu; Hsiao-Yu Tung; Tong Yu 001; Jui-Pin Wang; Cheng-Xia Chang; Chun-Pai Yang; Wei-Cheng Chang; Kuan-Hao Huang; Tzu-Ming Kuo; et al. (J. Mach. Learn. Res., 2014)

Combination of feature engineering and ranking models for paper-author identification in 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; et al. (J. Mach. Learn. Res., 2015)

Implementation of a smartphone sensing system with social networks: a location-aware mobile application. - Pei-Jung Lin; Sheng-Chang Chen; Chuan-Heng Yeh; Wei-Cheng Chang (Multim. Tools Appl., 2015)

Cross-Domain Kernel Induction for Transfer Learning. - Wei-Cheng Chang; Yuexin Wu; Hanxiao Liu; Yiming Yang (AAAI, 2017)

Data-driven Random Fourier Features using Stein Effect. - Wei-Cheng Chang; Chun-Liang Li; Yiming Yang; Barnabás Póczos (IJCAI, 2017)

MMD GAN: Towards Deeper Understanding of Moment Matching Network. - Chun-Liang Li; Wei-Cheng Chang; Yu Cheng; Yiming Yang; Barnabás Póczos (NIPS, 2017)

Deep Learning for Extreme Multi-label Text Classification. - Jingzhou Liu; Wei-Cheng Chang; Yuexin Wu; Yiming Yang (SIGIR, 2017)

The Mixing method: coordinate descent for low-rank semidefinite programming. - Po-Wei Wang; Wei-Cheng Chang; J. Zico Kolter (CoRR, 2017)

Modeling Long- and Short-Term Temporal Patterns with Deep Neural Networks. - Guokun Lai; Wei-Cheng Chang; Yiming Yang; Hanxiao Liu (SIGIR, 2018)

Contextual Encoding for Translation Quality Estimation. - Junjie Hu 001; Wei-Cheng Chang; Yuexin Wu; Graham Neubig (WMT (shared task), 2018)

Implicit Kernel Learning. - Chun-Liang Li; Wei-Cheng Chang; Youssef Mroueh; Yiming Yang; Barnabás Póczos (AISTATS, 2019)

Deep Learning for Anime Style Transfer. - Der-Lor Way; Wei-Cheng Chang; Zen-Chung Shih (ICAIP, 2019)

Kernel Change-point Detection with Auxiliary Deep Generative Models. - Wei-Cheng Chang; Chun-Liang Li; Yiming Yang; Barnabás Póczos (ICLR (Poster), 2019)

A Modular Deep Learning Approach for Extreme Multi-label Text Classification. - Wei-Cheng Chang; Hsiang-Fu Yu; Kai Zhong; Yiming Yang; Inderjit S. Dhillon (CoRR, 2019)

XL-Editor: Post-editing Sentences with XLNet. - Yong-Siang Shih; Wei-Cheng Chang; Yiming Yang (CoRR, 2019)

Pre-training Tasks for Embedding-based Large-scale Retrieval. - Wei-Cheng Chang; Felix X. Yu; Yin-Wen Chang; Yiming Yang; Sanjiv Kumar (ICLR, 2020)

Correlation-Aware Change-Point Detection via Graph Neural Networks. - Ruohong Zhang; Yu Hao; Donghan Yu; Wei-Cheng Chang; Guokun Lai; Yiming Yang (ICONIP (3), 2020)

Taming Pretrained Transformers for Extreme Multi-label Text Classification. - Wei-Cheng Chang; Hsiang-Fu Yu; Kai Zhong; Yiming Yang; Inderjit S. Dhillon (KDD, 2020)

Explainable Unsupervised Change-point Detection via Graph Neural Networks. - Ruohong Zhang; Yu Hao; Donghan Yu; Wei-Cheng Chang; Guokun Lai; Yiming Yang (CoRR, 2020)

Kernel Stein Generative Modeling. - Wei-Cheng Chang; Chun-Liang Li; Youssef Mroueh; Yiming Yang (CoRR, 2020)

Extreme Multi-label Learning for Semantic Matching in Product Search. - Wei-Cheng Chang; Daniel L. Jiang; Hsiang-Fu Yu; Choon-Hui Teo; Jiong Zhang; Kai Zhong; Kedarnath Kolluri; Qie Hu; Nikhil Shandilya; Vyacheslav Ievgrafov; Japinder Singh; Inderjit S. Dhillon (KDD, 2021)

Label Disentanglement in Partition-based Extreme Multilabel Classification. - Xuanqing Liu; Wei-Cheng Chang; Hsiang-Fu Yu; Cho-Jui Hsieh; Inderjit S. Dhillon (NeurIPS, 2021)

Fast Multi-Resolution Transformer Fine-tuning for Extreme Multi-label Text Classification. - Jiong Zhang; Wei-Cheng Chang; Hsiang-Fu Yu; Inderjit S. Dhillon (NeurIPS, 2021)

Node Feature Extraction by Self-Supervised Multi-scale Neighborhood Prediction. - Eli Chien; Wei-Cheng Chang; Cho-Jui Hsieh; Hsiang-Fu Yu; Jiong Zhang; Olgica Milenkovic; Inderjit S. Dhillon (ICLR, 2022)

PECOS: Prediction for Enormous and Correlated Output Spaces. - Hsiang-Fu Yu; Jiong Zhang; Wei-Cheng Chang; Jyun-Yu Jiang; Wei Li; Cho-Jui Hsieh (KDD, 2022)

Extreme Zero-Shot Learning for Extreme Text Classification. - Yuanhao Xiong; Wei-Cheng Chang; Cho-Jui Hsieh; Hsiang-Fu Yu; Inderjit S. Dhillon (NAACL-HLT, 2022)

Relevance under the Iceberg: Reasonable Prediction for Extreme Multi-label Classification. - Jyun-Yu Jiang; Wei-Cheng Chang; Jiong Zhang; Cho-Jui Hsieh; Hsiang-Fu Yu (SIGIR, 2022)

FINGER: Fast Inference for Graph-based Approximate Nearest Neighbor Search. - Patrick H. Chen; Wei-Cheng Chang; Hsiang-Fu Yu; Inderjit S. Dhillon; Cho-Jui Hsieh (CoRR, 2022)

Uncertainty in Extreme Multi-label Classification. - Jyun-Yu Jiang; Wei-Cheng Chang; Jiong Zhang; Cho-Jui Hsieh; Hsiang-Fu Yu (CoRR, 2022)

PECOS: Prediction for Enormous and Correlated Output Spaces. - Hsiang-Fu Yu; Kai Zhong; Jiong Zhang; Wei-Cheng Chang; Inderjit S. Dhillon (J. Mach. Learn. Res., 2022)

Build Faster with Less: A Journey to Accelerate Sparse Model Building for Semantic Matching in Product Search. - Jiong Zhang; Yau-Shian Wang; Wei-Cheng Chang; Wei Li; Jyun-Yu Jiang; Cho-Jui Hsieh; Hsiang-Fu Yu (CIKM, 2023)

PINA: Leveraging Side Information in eXtreme Multi-label Classification via Predicted Instance Neighborhood Aggregation. - Eli Chien; Jiong Zhang; Cho-Jui Hsieh; Jyun-Yu Jiang; Wei-Cheng Chang; Olgica Milenkovic; Hsiang-Fu Yu (ICML, 2023)

Uncertainty Quantification for Extreme Classification. - Jyun-Yu Jiang; Wei-Cheng Chang; Jiong Zhang; Cho-Jui Hsieh; Hsiang-Fu Yu (SIGIR, 2023)

FINGER: Fast Inference for Graph-based Approximate Nearest Neighbor Search. - Patrick H. Chen; Wei-Cheng Chang; Jyun-Yu Jiang; Hsiang-Fu Yu; Inderjit S. Dhillon; Cho-Jui Hsieh (WWW, 2023)

MinPrompt: Graph-based Minimal Prompt Data Augmentation for Few-shot Question Answering. - Xiusi Chen; Jyun-Yu Jiang; Wei-Cheng Chang; Cho-Jui Hsieh; Hsiang-Fu Yu; Wei Wang 010 (ACL (1), 2024)

PEFA: Parameter-Free Adapters for Large-scale Embedding-based Retrieval Models. - Wei-Cheng Chang; Jyun-Yu Jiang; Jiong Zhang; Mutasem Al-Darabsah; Choon Hui Teo; Cho-Jui Hsieh; Hsiang-Fu Yu; S. V. N. Vishwanathan (WSDM, 2024)

Entity Disambiguation with Extreme Multi-label Ranking. - Jyun-Yu Jiang; Wei-Cheng Chang; Jiong Zhang; Cho-Jui Hsieh; Hsiang-Fu Yu (WWW, 2024)

Retrieval-augmented Encoders for Extreme Multi-label Text Classification. - Yau-Shian Wang; Wei-Cheng Chang; Jyun-Yu Jiang; Jiong Zhang; Hsiang-Fu Yu; S. V. N. Vishwanathan (CoRR, 2025)