Chun-Ta Lu
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
31
Venues
16
Active years
2011–2024
Best venue rank
A*
Where they publish
Papers
31 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2024 | CVPR | Visual Program Distillation: Distilling Tools and Programmatic Reasoning into Vision-Language Models. | Yushi Hu, Otilia Stretcu, Chun-Ta Lu, Krishnamurthy Viswanathan, Kenji Hata, Enming Luo, Ranjay Krishna, Ariel Fuxman |
| 2024 | CVPR | Modeling Collaborator: Enabling Subjective Vision Classification with Minimal Human Effort via LLM Tool-Use. | Imad Eddine Toubal, Aditya Avinash, Neil Gordon Alldrin, Jan Dlabal, Wenlei Zhou, Enming Luo, Otilia Stretcu, Hao Xiong, Chun-Ta Lu, Howard Zhou, Ranjay Krishna, Ariel Fuxman, Tom Duerig |
| 2024 | WSDM | Scaling Up LLM Reviews for Google Ads Content Moderation. | Wei Qiao, Tushar Dogra, Otilia Stretcu, Yu-Han Lyu, Tiantian Fang, Dongjin Kwon, Chun-Ta Lu, Enming Luo, Yuan Wang, Chih-Chun Chia, Ariel Fuxman, Fangzhou Wang, Ranjay Krishna, Mehmet Tek |
| 2023 | ICCV | Agile Modeling: From Concept to Classifier in Minutes. | Otilia Stretcu, Edward Vendrow, Kenji Hata, Krishnamurthy Viswanathan, Vittorio Ferrari, Sasan Tavakkol, Wenlei Zhou, Aditya Avinash, Enming Luo, Neil Gordon Alldrin, MohammadHossein Bateni, Gabriel Berger, Andrew Bunner, Chun-Ta Lu, Javier A Rey, Giulia DeSalvo, Ranjay Krishna, Ariel Fuxman |
| 2021 | WSDM | Neural Structured Learning: Training Neural Networks with Structured Signals. | Arjun Gopalan, Da-Cheng Juan, Cesar Ilharco Magalhaes, Chun-Sung Ferng, Allan Heydon, Chun-Ta Lu, Philip Pham, George Yu, Yicheng Fan, Yueqi Wang |
| 2020 | COLING | MZET: Memory Augmented Zero-Shot Fine-grained Named Entity Typing. | Tao Zhang, Congying Xia, Chun-Ta Lu, Philip S. Yu |
| 2020 | KDD | Neural Structured Learning: Training Neural Networks with Structured Signals. | Arjun Gopalan, Da-Cheng Juan, Cesar Ilharco Magalhaes, Chun-Sung Ferng, Allan Heydon, Chun-Ta Lu, Philip Pham, George Yu |
| 2020 | WSDM | Ultra Fine-Grained Image Semantic Embedding. | Da-Cheng Juan, Chun-Ta Lu, Zhen Li, Futang Peng, Aleksei Timofeev, Yi-Ting Chen, Yaxi Gao, Tom Duerig, Andrew Tomkins, Sujith Ravi |
| 2019 | CIKM | Inferring Context from Pixels for Multimodal Image Classification. | Manan Shah, Krishnamurthy Viswanathan, Chun-Ta Lu, Ariel Fuxman, Zhen Li, Aleksei Timofeev, Chao Jia, Chen Sun |
| 2019 | DSAA | MARS: Memory Attention-Aware Recommender System. | Lei Zheng, Chun-Ta Lu, Lifang He, Sihong Xie, He Huang, Chaozhuo Li, Vahid Noroozi, Bowen Dong, Philip S. Yu |
| 2019 | SIGIR | Gated Spectral Units: Modeling Co-evolving Patterns for Sequential Recommendation. | Lei Zheng, Ziwei Fan, Chun-Ta Lu, Jiawei Zhang, Philip S. Yu |
| 2019 | SIGIR | Deep Distribution Network: Addressing the Data Sparsity Issue for Top-N Recommendation. | Lei Zheng, Chaozhuo Li, Chun-Ta Lu, Jiawei Zhang, Philip S. Yu |
| 2018 | ICDM | A Self-Organizing Tensor Architecture for Multi-view Clustering. | Lifang He, Chun-Ta Lu, Yong Chen, Jiawei Zhang, Linlin Shen, Philip S. Yu, Fei Wang |
| 2018 | RecSys | Spectral collaborative filtering. | Lei Zheng, Chun-Ta Lu, Fei Jiang, Jiawei Zhang, Philip S. Yu |
| 2018 | WWW | Learning from Multi-View Multi-Way Data via Structural Factorization Machines. | Chun-Ta Lu, Lifang He, Hao Ding, Bokai Cao, Philip S. Yu |
| 2017 | CIKM | Multi-view Clustering with Graph Embedding for Connectome Analysis. | Guixiang Ma, Lifang He, Chun-Ta Lu, Weixiang Shao, Philip S. Yu, Alex D. Leow, Ann B. Ragin |
| 2017 | CVPR | Multi-way Multi-level Kernel Modeling for Neuroimaging Classification. | Lifang He, Chun-Ta Lu, Hao Ding, Shen Wang, Linlin Shen, Philip S. Yu, Ann B. Ragin |
| 2017 | ICDM | A Broad Learning Approach for Context-Aware Mobile Application Recommendation. | Tingting Liang, Lifang He, Chun-Ta Lu, Liang Chen, Philip S. Yu, Jian Wu |
| 2017 | ICDM | Multi-view Graph Embedding with Hub Detection for Brain Network Analysis. | Guixiang Ma, Chun-Ta Lu, Lifang He, Philip S. Yu, Ann B. Ragin |
| 2017 | ICML | Kernelized Support Tensor Machines. | Lifang He, Chun-Ta Lu, Guixiang Ma, Shen Wang, LinLin Shen, Philip S. Yu, Ann B. Ragin |
| 2017 | KDD | Structural Deep Brain Network Mining. | Shen Wang, Lifang He, Bokai Cao, Chun-Ta Lu, Philip S. Yu, Ann B. Ragin |
| 2017 | PAKDD | Collective Geographical Embedding for Geolocating Social Network Users. | Fengjiao Wang, Chun-Ta Lu, Yongzhi Qu, Philip S. Yu |
| 2017 | WSDM | Multilinear Factorization Machines for Multi-Task Multi-View Learning. | Chun-Ta Lu, Lifang He, Weixiang Shao, Bokai Cao, Philip S. Yu |
| 2016 | ICDM | Online Unsupervised Multi-view Feature Selection. | Weixiang Shao, Lifang He, Chun-Ta Lu, Xiaokai Wei, Philip S. Yu |
| 2016 | IJCAI | Item Recommendation for Emerging Online Businesses. | Chun-Ta Lu, Sihong Xie, Weixiang Shao, Lifang He, Philip S. Yu |
| 2016 | KDD | Joint Community and Structural Hole Spanner Detection via Harmonic Modularity. | Lifang He, Chun-Ta Lu, Jiaqi Ma, Jianping Cao, Linlin Shen, Philip S. Yu |
| 2016 | SDM | Spatio-Temporal Tensor Analysis for Whole-Brain fMRI Classification. | Guixiang Ma, Lifang He, Chun-Ta Lu, Philip S. Yu, Linlin Shen, Ann B. Ragin |
| 2016 | SDM | Identifying Connectivity Patterns for Brain Diseases via Multi-side-view Guided Deep Architectures. | Jingyuan Zhang, Bokai Cao, Sihong Xie, Chun-Ta Lu, Philip S. Yu, Ann B. Ragin |
| 2014 | CIKM | Identifying Your Customers in Social Networks. | Chun-Ta Lu, Hong-Han Shuai, Philip S. Yu |
| 2014 | WSDM | Inferring the impacts of social media on crowdfunding. | Chun-Ta Lu, Sihong Xie, Xiangnan Kong, Philip S. Yu |
| 2011 | DASFAA | A Framework of Mining Semantic Regions from Trajectories. | Chun-Ta Lu, Po-Ruey Lei, Wen-Chih Peng, Ing-Jiunn Su |