Wei-Cheng Chang

60 papers A* 17A 3Journal 30Unranked 10
YearRankTypeTitle / Venue / Authors
2025 J jnl
LLM-guided Hierarchical Retrieval.
CoRR
Nilesh Gupta, Wei-Cheng Chang, Ngot Bui, Cho-Jui Hsieh, Inderjit S. Dhillon
2025 J jnl
LightsOut: Diffusion-based Outpainting for Enhanced Lens Flare Removal.
CoRR
Shr-Ruei Tsai, Wei-Cheng Chang, Jie-Ying Lee, Chih-Hai Su, Yu-Lun Liu
2025 J jnl
Retrieval-augmented Encoders for Extreme Multi-label Text Classification.
CoRR
Yau-Shian Wang, Wei-Cheng Chang, Jyun-Yu Jiang, Jiong Zhang, Hsiang-Fu Yu, S. V. N. Vishwanathan
2025 J jnl
Skyfall-GS: Synthesizing Immersive 3D Urban Scenes from Satellite Imagery.
CoRR
Jie-Ying Lee, Yi-Ruei Liu, Shr-Ruei Tsai, Wei-Cheng Chang, Chung-Ho Wu, Jiewen Chan, Zhenjun Zhao, Chieh Hubert Lin, Yu-Lun Liu
2024 A* conf
Entity Disambiguation with Extreme Multi-label Ranking.
WWW
Jyun-Yu Jiang, Wei-Cheng Chang, Jiong Zhang, Cho-Jui Hsieh, Hsiang-Fu Yu
2024 — conf
MinPrompt: Graph-based Minimal Prompt Data Augmentation for Few-shot Question Answering.
ACL (1)
Xiusi Chen, Jyun-Yu Jiang, Wei-Cheng Chang, Cho-Jui Hsieh, Hsiang-Fu Yu, Wei Wang
2024 A conf
PEFA: Parameter-Free Adapters for Large-scale Embedding-based Retrieval Models.
WSDM
Wei-Cheng Chang, Jyun-Yu Jiang, Jiong Zhang, Mutasem Al-Darabsah, Choon Hui Teo, Cho-Jui Hsieh, Hsiang-Fu Yu, S. V. N. Vishwanathan
2023 A conf
Build Faster with Less: A Journey to Accelerate Sparse Model Building for Semantic Matching in Product Search.
CIKM
Jiong Zhang, Yau-Shian Wang, Wei-Cheng Chang, Wei Li, Jyun-Yu Jiang, Cho-Jui Hsieh, Hsiang-Fu Yu
2023 A* conf
FINGER: Fast Inference for Graph-based Approximate Nearest Neighbor Search.
WWW
Patrick H. Chen, Wei-Cheng Chang, Jyun-Yu Jiang, Hsiang-Fu Yu, Inderjit S. Dhillon, Cho-Jui Hsieh
2023 J jnl
MinPrompt: Graph-based Minimal Prompt Data Augmentation for Few-shot Question Answering.
CoRR
Xiusi Chen, Jyun-Yu Jiang, Wei-Cheng Chang, Cho-Jui Hsieh, Hsiang-Fu Yu, Wei Wang
2023 J jnl
PEFA: Parameter-Free Adapters for Large-scale Embedding-based Retrieval Models.
CoRR
Wei-Cheng Chang, Jyun-Yu Jiang, Jiong Zhang, Mutasem Al-Darabsah, Choon Hui Teo, Cho-Jui Hsieh, Hsiang-Fu Yu, S. V. N. Vishwanathan
2023 A* conf
PINA: Leveraging Side Information in eXtreme Multi-label Classification via Predicted Instance Neighborhood Aggregation.
ICML
Eli Chien, Jiong Zhang, Cho-Jui Hsieh, Jyun-Yu Jiang, Wei-Cheng Chang, Olgica Milenkovic, Hsiang-Fu Yu
2023 J jnl
PINA: Leveraging Side Information in eXtreme Multi-label Classification via Predicted Instance Neighborhood Aggregation.
CoRR
Eli Chien, Jiong Zhang, Cho-Jui Hsieh, Jyun-Yu Jiang, Wei-Cheng Chang, Olgica Milenkovic, Hsiang-Fu Yu
2023 A* conf
Uncertainty Quantification for Extreme Classification.
SIGIR
Jyun-Yu Jiang, Wei-Cheng Chang, Jiong Zhang, Cho-Jui Hsieh, Hsiang-Fu Yu
2022 — conf
Extreme Zero-Shot Learning for Extreme Text Classification.
NAACL-HLT
Yuanhao Xiong, Wei-Cheng Chang, Cho-Jui Hsieh, Hsiang-Fu Yu, Inderjit S. Dhillon
2022 J jnl
FINGER: Fast Inference for Graph-based Approximate Nearest Neighbor Search.
CoRR
Patrick H. Chen, Wei-Cheng Chang, Hsiang-Fu Yu, Inderjit S. Dhillon, Cho-Jui Hsieh
2022 A* conf
Node Feature Extraction by Self-Supervised Multi-scale Neighborhood Prediction.
ICLR
Eli Chien, Wei-Cheng Chang, Cho-Jui Hsieh, Hsiang-Fu Yu, Jiong Zhang, Olgica Milenkovic, Inderjit S. Dhillon
2022 A* conf
PECOS: Prediction for Enormous and Correlated Output Spaces.
KDD
Hsiang-Fu Yu, Jiong Zhang, Wei-Cheng Chang, Jyun-Yu Jiang, Wei Li, Cho-Jui Hsieh
2022 J jnl
PECOS: Prediction for Enormous and Correlated Output Spaces.
J. Mach. Learn. Res.
Hsiang-Fu Yu, Kai Zhong, Jiong Zhang, Wei-Cheng Chang, Inderjit S. Dhillon
2022 A* conf
Relevance under the Iceberg: Reasonable Prediction for Extreme Multi-label Classification.
SIGIR
Jyun-Yu Jiang, Wei-Cheng Chang, Jiong Zhang, Cho-Jui Hsieh, Hsiang-Fu Yu
2022 J jnl
Uncertainty in Extreme Multi-label Classification.
CoRR
Jyun-Yu Jiang, Wei-Cheng Chang, Jiong Zhang, Cho-Jui Hsieh, Hsiang-Fu Yu
2021 A* conf
Extreme Multi-label Learning for Semantic Matching in Product Search.
KDD
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
2021 J jnl
Extreme Multi-label Learning for Semantic Matching in Product Search.
CoRR
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
2021 J jnl
Extreme Zero-Shot Learning for Extreme Text Classification.
CoRR
Yuanhao Xiong, Wei-Cheng Chang, Cho-Jui Hsieh, Hsiang-Fu Yu, Inderjit S. Dhillon
2021 A* conf
Fast Multi-Resolution Transformer Fine-tuning for Extreme Multi-label Text Classification.
NeurIPS
Jiong Zhang, Wei-Cheng Chang, Hsiang-Fu Yu, Inderjit S. Dhillon
2021 J jnl
Fast Multi-Resolution Transformer Fine-tuning for Extreme Multi-label Text Classification.
CoRR
Jiong Zhang, Wei-Cheng Chang, Hsiang-Fu Yu, Inderjit S. Dhillon
2021 A* conf
Label Disentanglement in Partition-based Extreme Multilabel Classification.
NeurIPS
Xuanqing Liu, Wei-Cheng Chang, Hsiang-Fu Yu, Cho-Jui Hsieh, Inderjit S. Dhillon
2021 J jnl
Label Disentanglement in Partition-based Extreme Multilabel Classification.
CoRR
Xuanqing Liu, Wei-Cheng Chang, Hsiang-Fu Yu, Cho-Jui Hsieh, Inderjit S. Dhillon
2021 J jnl
Node Feature Extraction by Self-Supervised Multi-scale Neighborhood Prediction.
CoRR
Eli Chien, Wei-Cheng Chang, Cho-Jui Hsieh, Hsiang-Fu Yu, Jiong Zhang, Olgica Milenkovic, Inderjit S. Dhillon
2020 — conf
Correlation-Aware Change-Point Detection via Graph Neural Networks.
ICONIP (3)
Ruohong Zhang, Yu Hao, Donghan Yu, Wei-Cheng Chang, Guokun Lai, Yiming Yang
2020 J jnl
Explainable Unsupervised Change-point Detection via Graph Neural Networks.
CoRR
Ruohong Zhang, Yu Hao, Donghan Yu, Wei-Cheng Chang, Guokun Lai, Yiming Yang
2020 J jnl
Kernel Stein Generative Modeling.
CoRR
Wei-Cheng Chang, Chun-Liang Li, Youssef Mroueh, Yiming Yang
2020 A* conf
Pre-training Tasks for Embedding-based Large-scale Retrieval.
ICLR
Wei-Cheng Chang, Felix X. Yu, Yin-Wen Chang, Yiming Yang, Sanjiv Kumar
2020 J jnl
Pre-training Tasks for Embedding-based Large-scale Retrieval.
CoRR
Wei-Cheng Chang, Felix X. Yu, Yin-Wen Chang, Yiming Yang, Sanjiv Kumar
2020 A* conf
Taming Pretrained Transformers for Extreme Multi-label Text Classification.
KDD
Wei-Cheng Chang, Hsiang-Fu Yu, Kai Zhong, Yiming Yang, Inderjit S. Dhillon
2019 J jnl
A Modular Deep Learning Approach for Extreme Multi-label Text Classification.
CoRR
Wei-Cheng Chang, Hsiang-Fu Yu, Kai Zhong, Yiming Yang, Inderjit S. Dhillon
2019 — conf
Deep Learning for Anime Style Transfer.
ICAIP
Der-Lor Way, Wei-Cheng Chang, Zen-Chung Shih
2019 A conf
Implicit Kernel Learning.
AISTATS
Chun-Liang Li, Wei-Cheng Chang, Youssef Mroueh, Yiming Yang, Barnabás Póczos
2019 J jnl
Implicit Kernel Learning.
CoRR
Chun-Liang Li, Wei-Cheng Chang, Youssef Mroueh, Yiming Yang, Barnabás Póczos
2019 — conf
Kernel Change-point Detection with Auxiliary Deep Generative Models.
ICLR (Poster)
Wei-Cheng Chang, Chun-Liang Li, Yiming Yang, Barnabás Póczos
2019 J jnl
Kernel Change-point Detection with Auxiliary Deep Generative Models.
CoRR
Wei-Cheng Chang, Chun-Liang Li, Yiming Yang, Barnabás Póczos
2019 J jnl
XL-Editor: Post-editing Sentences with XLNet.
CoRR
Yong-Siang Shih, Wei-Cheng Chang, Yiming Yang
2018 — conf
Contextual Encoding for Translation Quality Estimation.
WMT (shared task)
Junjie Hu, Wei-Cheng Chang, Yuexin Wu, Graham Neubig
2018 J jnl
Contextual Encoding for Translation Quality Estimation.
CoRR
Junjie Hu, Wei-Cheng Chang, Yuexin Wu, Graham Neubig
2018 A* conf
Modeling Long- and Short-Term Temporal Patterns with Deep Neural Networks.
SIGIR
Guokun Lai, Wei-Cheng Chang, Yiming Yang, Hanxiao Liu
2017 A* conf
Cross-Domain Kernel Induction for Transfer Learning.
AAAI
Wei-Cheng Chang, Yuexin Wu, Hanxiao Liu, Yiming Yang
2017 A* conf
Data-driven Random Fourier Features using Stein Effect.
IJCAI
Wei-Cheng Chang, Chun-Liang Li, Yiming Yang, Barnabás Póczos
2017 J jnl
Data-driven Random Fourier Features using Stein Effect.
CoRR
Wei-Cheng Chang, Chun-Liang Li, Yiming Yang, Barnabás Póczos
2017 A* conf
Deep Learning for Extreme Multi-label Text Classification.
SIGIR
Jingzhou Liu, Wei-Cheng Chang, Yuexin Wu, Yiming Yang
2017 — conf
MMD GAN: Towards Deeper Understanding of Moment Matching Network.
NIPS
Chun-Liang Li, Wei-Cheng Chang, Yu Cheng, Yiming Yang, Barnabás Póczos
2017 J jnl
MMD GAN: Towards Deeper Understanding of Moment Matching Network.
CoRR
Chun-Liang Li, Wei-Cheng Chang, Yu Cheng, Yiming Yang, Barnabás Póczos
2017 J jnl
Modeling Long- and Short-Term Temporal Patterns with Deep Neural Networks.
CoRR
Guokun Lai, Wei-Cheng Chang, Yiming Yang, Hanxiao Liu
2017 J jnl
The Mixing method: coordinate descent for low-rank semidefinite programming.
CoRR
Po-Wei Wang, Wei-Cheng Chang, J. Zico Kolter
2015 J jnl
Combination of feature engineering and ranking models for paper-author identification in KDD cup 2013.
J. Mach. Learn. Res.
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
2015 J jnl
Implementation of a smartphone sensing system with social networks: a location-aware mobile application.
Multim. Tools Appl.
Pei-Jung Lin, Sheng-Chang Chen, Chuan-Heng Yeh, Wei-Cheng Chang
2014 J jnl
Effective string processing and matching for author disambiguation.
J. Mach. Learn. Res.
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
2013 — conf
Combination of feature engineering and ranking models for paper-author identification in KDD Cup 2013.
KDD Cup
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
2013 — conf
Effective string processing and matching for author disambiguation.
KDD Cup
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
2008 — conf
A 242mW 10mm
ISSCC
Yu-Kun Lin, De-Wei Li, Chia-Chun Lin, Tzu-Yun Kuo, Sian-Jin Wu, Wei-Cheng Tai, Wei-Cheng Chang, Tian-Sheuan Chang
2008 A* conf
A 242mW, 10mm
DAC
Yu-Kun Lin, De-Wei Li, Chia-Chun Lin, Tzu-Yun Kuo, Sian-Jin Wu, Wei-Cheng Tai, Wei-Cheng Chang, Tian-Sheuan Chang