Wei-Cheng Chang
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
25
Venues
15
Active years
2008–2025
Best venue rank
A*
Where they publish
Papers
25 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | ICCV | Lightsout: Diffusion-Based Outpainting for Enhanced Lens Flare Removal. | Shr-Ruei Tsai, Wei-Cheng Chang, Jie-Ying Lee, Chih-Hai Su, Yu-Lun Liu |
| 2024 | ACL | 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 |
| 2024 | WWW | Entity Disambiguation with Extreme Multi-label Ranking. | Jyun-Yu Jiang, Wei-Cheng Chang, Jiong Zhang, Cho-Jui Hsieh, Hsiang-Fu Yu |
| 2024 | WSDM | 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 |
| 2023 | CIKM | 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 |
| 2023 | ICML | 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 |
| 2023 | WWW | 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 |
| 2023 | SIGIR | Uncertainty Quantification for Extreme Classification. | Jyun-Yu Jiang, Wei-Cheng Chang, Jiong Zhang, Cho-Jui Hsieh, Hsiang-Fu Yu |
| 2022 | ICLR | 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 |
| 2022 | KDD | PECOS: Prediction for Enormous and Correlated Output Spaces. | Hsiang-Fu Yu, Jiong Zhang, Wei-Cheng Chang, Jyun-Yu Jiang, Wei Li, Cho-Jui Hsieh |
| 2022 | NAACL | Extreme Zero-Shot Learning for Extreme Text Classification. | Yuanhao Xiong, Wei-Cheng Chang, Cho-Jui Hsieh, Hsiang-Fu Yu, Inderjit S. Dhillon |
| 2022 | SIGIR | 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 |
| 2021 | KDD | 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 |
| 2020 | ICLR | Pre-training Tasks for Embedding-based Large-scale Retrieval. | Wei-Cheng Chang, Felix X. Yu, Yin-Wen Chang, Yiming Yang, Sanjiv Kumar |
| 2020 | ICONIP | Correlation-Aware Change-Point Detection via Graph Neural Networks. | Ruohong Zhang, Yu Hao, Donghan Yu, Wei-Cheng Chang, Guokun Lai, Yiming Yang |
| 2020 | KDD | Taming Pretrained Transformers for Extreme Multi-label Text Classification. | Wei-Cheng Chang, Hsiang-Fu Yu, Kai Zhong, Yiming Yang, Inderjit S. Dhillon |
| 2019 | AISTATS | Implicit Kernel Learning. | Chun-Liang Li, Wei-Cheng Chang, Youssef Mroueh, Yiming Yang, Barnabs Pczos |
| 2019 | ICLR | Kernel Change-point Detection with Auxiliary Deep Generative Models. | Wei-Cheng Chang, Chun-Liang Li, Yiming Yang, Barnabs Pczos |
| 2018 | SIGIR | Modeling Long- and Short-Term Temporal Patterns with Deep Neural Networks. | Guokun Lai, Wei-Cheng Chang, Yiming Yang, Hanxiao Liu |
| 2017 | AAAI | Cross-Domain Kernel Induction for Transfer Learning. | Wei-Cheng Chang, Yuexin Wu, Hanxiao Liu, Yiming Yang |
| 2017 | IJCAI | Data-driven Random Fourier Features using Stein Effect. | Wei-Cheng Chang, Chun-Liang Li, Yiming Yang, Barnabs Pczos |
| 2017 | SIGIR | Deep Learning for Extreme Multi-label Text Classification. | Jingzhou Liu, Wei-Cheng Chang, Yuexin Wu, Yiming Yang |
| 2013 | KDD | Effective string processing and matching for author disambiguation. | 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 |
| 2013 | KDD | 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, 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 |
| 2008 | DAC | A 242mW, 10mm | Yu-Kun Lin, De-Wei Li, Chia-Chun Lin, Tzu-Yun Kuo, Sian-Jin Wu, Wei-Cheng Tai, Wei-Cheng Chang, Tian-Sheuan Chang |