Chun-Ta Lu

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 56

Top Topics

Network Analysis

Graph Embedding

Semantic Structures

Collaborative Filtering

Top Venues

Publications

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
Modeling Collaborator: Enabling Subjective Vision Classification With Minimal Human Effort via LLM Tool-Use. CoRR (2024)
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
Scaling Up LLM Reviews for Google Ads Content Moderation. CoRR (2024)
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
Scaling Up LLM Reviews for Google Ads Content Moderation. WSDM (2024)
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
Agile Modeling: From Concept to Classifier in Minutes. ICCV (2023)
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, Ariel Fuxman
Agile Modeling: Image Classification with Domain Experts in the Loop. CoRR (2023)
Florian Stimberg, Ayan Chakrabarti, Chun-Ta Lu, Hussein Hazimeh, Otilia Stretcu, Wei Qiao, Yintao Liu, Merve Kaya, Cyrus Rashtchian, Ariel Fuxman, Mehmet Tek, Sven Gowal
Benchmarking Robustness to Adversarial Image Obfuscations. NeurIPS (2023)
Florian Stimberg, Ayan Chakrabarti, Chun-Ta Lu, Hussein Hazimeh, Otilia Stretcu, Wei Qiao, Yintao Liu, Merve Kaya, Cyrus Rashtchian, Ariel Fuxman, Mehmet Tek, Sven Gowal
Benchmarking Robustness to Adversarial Image Obfuscations. CoRR (2023)
Yushi Hu, Otilia Stretcu, Chun-Ta Lu, Krishnamurthy Viswanathan, Kenji Hata, Enming Luo, Ranjay Krishna, Ariel Fuxman
Visual Program Distillation: Distilling Tools and Programmatic Reasoning into Vision-Language Models. CoRR (2023)
Yaqing Wang, Jialin Wu, Tanmaya Dabral, Jiageng Zhang, Geoff Brown, Chun-Ta Lu, Frederick Liu, Yi Liang, Bo Pang, Michael Bendersky, Radu Soricut
Non-Intrusive Adaptation: Input-Centric Parameter-efficient Fine-Tuning for Versatile Multimodal Modeling. CoRR (2023)
Arjun Gopalan, Da-Cheng Juan, Cesar Ilharco Magalhaes, Chun-Sung Ferng, Allan Heydon, Chun-Ta Lu, Philip Pham, George Yu, Yicheng Fan, Yueqi Wang
Neural Structured Learning: Training Neural Networks with Structured Signals. WSDM (2021)
Chun-Ta Lu, Yun Zeng, Da-Cheng Juan, Yicheng Fan, Zhe Li, Jan Dlabal, Yi-Ting Chen, Arjun Gopalan, Allan Heydon, Chun-Sung Ferng, Reah Miyara, Ariel Fuxman, Futang Peng, Zhen Li, Tom Duerig, Andrew Tomkins
CARLS: Cross-platform Asynchronous Representation Learning System. CoRR (2021)
Tingting Liang, Lifang He, Chun-Ta Lu, Liang Chen, Haochao Ying, Philip S. Yu, Jian Wu
CAMAR: a broad learning based context-aware recommender for mobile applications. Knowl. Inf. Syst. 62 (8) (2020)
Tao Zhang, Congying Xia, Chun-Ta Lu, Philip S. Yu
MZET: Memory Augmented Zero-Shot Fine-grained Named Entity Typing. CoRR (2020)
Arjun Gopalan, Da-Cheng Juan, Cesar Ilharco Magalhaes, Chun-Sung Ferng, Allan Heydon, Chun-Ta Lu, Philip Pham, George Yu
Neural Structured Learning: Training Neural Networks with Structured Signals. KDD (2020)
Tao Zhang, Congying Xia, Chun-Ta Lu, Philip S. Yu
MZET: Memory Augmented Zero-Shot Fine-grained Named Entity Typing. COLING (2020)
Da-Cheng Juan, Chun-Ta Lu, Zhen Li, Futang Peng, Aleksei Timofeev, Yi-Ting Chen, Yaxi Gao, Tom Duerig, Andrew Tomkins, Sujith Ravi
Ultra Fine-Grained Image Semantic Embedding. WSDM (2020)
Manan Shah, Krishnamurthy Viswanathan, Chun-Ta Lu, Ariel Fuxman, Zhen Li, Aleksei Timofeev, Chao Jia, Chen Sun
Inferring Context from Pixels for Multimodal Image Classification. CIKM (2019)
Jiahao Liu, Guixiang Ma, Fei Jiang, Chun-Ta Lu, Philip S. Yu, Ann B. Ragin
Community-preserving Graph Convolutions for Structural and Functional Joint Embedding of Brain Networks. CoRR (2019)
Lei Zheng, Ziwei Fan, Chun-Ta Lu, Jiawei Zhang, Philip S. Yu
Gated Spectral Units: Modeling Co-evolving Patterns for Sequential Recommendation. SIGIR (2019)
Da-Cheng Juan, Chun-Ta Lu, Zhen Li, Futang Peng, Aleksei Timofeev, Yi-Ting Chen, Yaxi Gao, Tom Duerig, Andrew Tomkins, Sujith Ravi
Graph-RISE: Graph-Regularized Image Semantic Embedding. CoRR (2019)
Lei Zheng, Chaozhuo Li, Chun-Ta Lu, Jiawei Zhang, Philip S. Yu
Deep Distribution Network: Addressing the Data Sparsity Issue for Top-N Recommendation. SIGIR (2019)
Lei Zheng, Chun-Ta Lu, Lifang He, Sihong Xie, He Huang, Chaozhuo Li, Vahid Noroozi, Bowen Dong, Philip S. Yu
MARS: Memory Attention-Aware Recommender System. DSAA (2019)
Jiahao Liu, Guixiang Ma, Fei Jiang, Chun-Ta Lu, Philip S. Yu, Ann B. Ragin
Community-preserving Graph Convolutions for Structural and Functional Joint Embedding of Brain Networks. IEEE BigData (2019)
Lei Zheng, Chun-Ta Lu, Lifang He, Sihong Xie, Vahid Noroozi, He Huang, Philip S. Yu
MARS: Memory Attention-Aware Recommender System. CoRR (2018)
Lifang He, Chun-Ta Lu, Yong Chen, Jiawei Zhang, Linlin Shen, Philip S. Yu, Fei Wang
A Self-Organizing Tensor Architecture for Multi-View Clustering. CoRR (2018)
Chun-Ta Lu, Lifang He, Hao Ding, Bokai Cao, Philip S. Yu
Learning from Multi-View Multi-Way Data via Structural Factorization Machines. WWW (2018)
Lei Zheng, Chun-Ta Lu, Fei Jiang, Jiawei Zhang, Philip S. Yu
Spectral collaborative filtering. RecSys (2018)
Lifang He, Chun-Ta Lu, Yong Chen, Jiawei Zhang, Linlin Shen, Philip S. Yu, Fei Wang
A Self-Organizing Tensor Architecture for Multi-view Clustering. ICDM (2018)
Lei Zheng, Chun-Ta Lu, Fei Jiang, Jiawei Zhang, Philip S. Yu
Spectral Collaborative Filtering. CoRR (2018)
Chenwei Zhang, Nan Du, Wei Fan, Yaliang Li, Chun-Ta Lu, Philip S. Yu
Bringing semantic structures to user intent detection in online medical queries. IEEE BigData (2017)
Guixiang Ma, Chun-Ta Lu, Lifang He, Philip S. Yu, Ann B. Ragin
Multi-view Graph Embedding with Hub Detection for Brain Network Analysis. CoRR (2017)
Guixiang Ma, Chun-Ta Lu, Lifang He, Philip S. Yu, Ann B. Ragin
Multi-view Graph Embedding with Hub Detection for Brain Network Analysis. ICDM (2017)
Fengjiao Wang, Yongzhi Qu, Lei Zheng, Chun-Ta Lu, Philip S. Yu
Deep and Broad Learning on Content-Aware POI Recommendation. CIC (2017)
Lifang He, Chun-Ta Lu, Hao Ding, Shen Wang, Linlin Shen, Philip S. Yu, Ann B. Ragin
Multi-way Multi-level Kernel Modeling for Neuroimaging Classification. CVPR (2017)
Chenwei Zhang, Nan Du, Wei Fan, Yaliang Li, Chun-Ta Lu, Philip S. Yu
Bringing Semantic Structures to User Intent Detection in Online Medical Queries. CoRR (2017)
Lifang He, Chun-Ta Lu, Guixiang Ma, Shen Wang, LinLin Shen, Philip S. Yu, Ann B. Ragin
Kernelized Support Tensor Machines. ICML (2017)
Guixiang Ma, Lifang He, Chun-Ta Lu, Weixiang Shao, Philip S. Yu, Alex D. Leow, Ann B. Ragin
Multi-view Clustering with Graph Embedding for Connectome Analysis. CIKM (2017)
Tingting Liang, Lifang He, Chun-Ta Lu, Liang Chen, Philip S. Yu, Jian Wu
A Broad Learning Approach for Context-Aware Mobile Application Recommendation. CoRR (2017)
Jingyuan Zhang, Chun-Ta Lu, Bokai Cao, Yi Chang, Philip S. Yu
Connecting emerging relationships from news via tensor factorization. IEEE BigData (2017)
Chun-Ta Lu, Lifang He, Weixiang Shao, Bokai Cao, Philip S. Yu
Multilinear Factorization Machines for Multi-Task Multi-View Learning. WSDM (2017)
Tingting Liang, Lifang He, Chun-Ta Lu, Liang Chen, Philip S. Yu, Jian Wu
A Broad Learning Approach for Context-Aware Mobile Application Recommendation. ICDM (2017)
Shen Wang, Lifang He, Bokai Cao, Chun-Ta Lu, Philip S. Yu, Ann B. Ragin
Structural Deep Brain Network Mining. KDD (2017)
Fengjiao Wang, Chun-Ta Lu, Yongzhi Qu, Philip S. Yu
Collective Geographical Embedding for Geolocating Social Network Users. PAKDD (1) (2017)
Chun-Ta Lu, Lifang He, Hao Ding, Philip S. Yu
Learning from Multi-View Structural Data via Structural Factorization Machines. CoRR (2017)
Weixiang Shao, Lifang He, Chun-Ta Lu, Xiaokai Wei, Philip S. Yu
Online Unsupervised Multi-view Feature Selection. ICDM (2016)
Lifang He, Chun-Ta Lu, Jiaqi Ma, Jianping Cao, Linlin Shen, Philip S. Yu
Joint Community and Structural Hole Spanner Detection via Harmonic Modularity. KDD (2016)
Xiaokai Wei, Bokai Cao, Weixiang Shao, Chun-Ta Lu, Philip S. Yu
Community detection with partially observable links and node attributes. IEEE BigData (2016)
Weixiang Shao, Lifang He, Chun-Ta Lu, Xiaokai Wei, Philip S. Yu
Online Unsupervised Multi-view Feature Selection. CoRR (2016)
Weixiang Shao, Lifang He, Chun-Ta Lu, Philip S. Yu
Online multi-view clustering with incomplete views. IEEE BigData (2016)
Jingyuan Zhang, Chun-Ta Lu, Mianwei Zhou, Sihong Xie, Yi Chang, Philip S. Yu
HEER: Heterogeneous graph embedding for emerging relation detection from news. IEEE BigData (2016)
Guixiang Ma, Lifang He, Chun-Ta Lu, Philip S. Yu, Linlin Shen, Ann B. Ragin
Spatio-Temporal Tensor Analysis for Whole-Brain fMRI Classification. SDM (2016)
Chun-Ta Lu, Sihong Xie, Weixiang Shao, Lifang He, Philip S. Yu
Item Recommendation for Emerging Online Businesses. IJCAI (2016)
Yuan Yuan, Sihong Xie, Chun-Ta Lu, Jie Tang, Philip S. Yu
Interpretable and effective opinion spam detection via temporal patterns mining across websites. IEEE BigData (2016)
Jingyuan Zhang, Bokai Cao, Sihong Xie, Chun-Ta Lu, Philip S. Yu, Ann B. Ragin
Identifying Connectivity Patterns for Brain Diseases via Multi-side-view Guided Deep Architectures. SDM (2016)
Weixiang Shao, Lifang He, Chun-Ta Lu, Philip S. Yu
Online Multi-view Clustering with Incomplete Views. CoRR (2016)
Bokai Cao, Chun-Ta Lu, Xiaokai Wei, Philip S. Yu, Alex D. Leow
Semi-supervised Tensor Factorization for Brain Network Analysis. ECML/PKDD (1) (2016)
Chun-Ta Lu, Hong-Han Shuai, Philip S. Yu
Identifying Your Customers in Social Networks. CIKM (2014)
Chun-Ta Lu, Sihong Xie, Xiangnan Kong, Philip S. Yu
Inferring the impacts of social media on crowdfunding. WSDM (2014)
Chun-Ta Lu, Po-Ruey Lei, Wen-Chih Peng, Ing-Jiunn Su
A Framework of Mining Semantic Regions from Trajectories. DASFAA (1) (2011)