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2020 – today
- 2024
[c41]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. CVPR 2024: 9590-9601- [c40]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. CVPR 2024: 17553-17563 - [c39]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: 1174-1175 - [i19]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 abs/2402.14590 (2024) - [i18]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 abs/2403.02626 (2024) - 2023
- [c38]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: 22266-22277 - [c37]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 - [i17]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 abs/2301.12993 (2023) - [i16]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 abs/2302.12948 (2023) - [i15]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 abs/2310.12100 (2023) - [i14]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 abs/2312.03052 (2023) - 2021
- [c36]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: 1150-1153 - [i13]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 abs/2105.12849 (2021) - 2020
- [j1]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): 3291-3319 (2020) - [c35]Tao Zhang, Congying Xia, Chun-Ta Lu, Philip S. Yu:
MZET: Memory Augmented Zero-Shot Fine-grained Named Entity Typing. COLING 2020: 77-87 - [c34]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: 3501-3502 - [c33]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: 277-285 - [i12]Tao Zhang, Congying Xia, Chun-Ta Lu, Philip S. Yu:
MZET: Memory Augmented Zero-Shot Fine-grained Named Entity Typing. CoRR abs/2004.01267 (2020)
2010 – 2019
- 2019
- [c32]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: 1163-1168 - [c31]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: 189-198 - [c30]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: 11-20 - [c29]Lei Zheng, Ziwei Fan, Chun-Ta Lu, Jiawei Zhang, Philip S. Yu:
Gated Spectral Units: Modeling Co-evolving Patterns for Sequential Recommendation. SIGIR 2019: 1077-1080 - [c28]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: 1081-1084 - [i11]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 abs/1902.10814 (2019) - [i10]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 abs/1911.03583 (2019) - 2018
- [c27]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: 1007-1012 - [c26]Lei Zheng, Chun-Ta Lu, Fei Jiang, Jiawei Zhang, Philip S. Yu:
Spectral collaborative filtering. RecSys 2018: 311-319 - [c25]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: 1593-1602 - [i9]Lei Zheng, Chun-Ta Lu, Lifang He, Sihong Xie, Vahid Noroozi, He Huang, Philip S. Yu:
MARS: Memory Attention-Aware Recommender System. CoRR abs/1805.07037 (2018) - [i8]Lei Zheng, Chun-Ta Lu, Fei Jiang, Jiawei Zhang, Philip S. Yu:
Spectral Collaborative Filtering. CoRR abs/1808.10523 (2018) - [i7]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 abs/1810.07874 (2018) - 2017
- [c24]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: 1019-1026 - [c23]Jingyuan Zhang, Chun-Ta Lu, Bokai Cao, Yi Chang, Philip S. Yu:
Connecting emerging relationships from news via tensor factorization. IEEE BigData 2017: 1223-1232 - [c22]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: 127-136 - [c21]Fengjiao Wang, Yongzhi Qu, Lei Zheng, Chun-Ta Lu, Philip S. Yu:
Deep and Broad Learning on Content-Aware POI Recommendation. CIC 2017: 369-378 - [c20]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: 6846-6854 - [c19]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: 955-960 - [c18]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: 967-972 - [c17]Lifang He, Chun-Ta Lu, Guixiang Ma, Shen Wang, LinLin Shen, Philip S. Yu, Ann B. Ragin:
Kernelized Support Tensor Machines. ICML 2017: 1442-1451 - [c16]Shen Wang, Lifang He, Bokai Cao, Chun-Ta Lu, Philip S. Yu, Ann B. Ragin:
Structural Deep Brain Network Mining. KDD 2017: 475-484 - [c15]Fengjiao Wang, Chun-Ta Lu, Yongzhi Qu, Philip S. Yu:
Collective Geographical Embedding for Geolocating Social Network Users. PAKDD (1) 2017: 599-611 - [c14]Chun-Ta Lu, Lifang He, Weixiang Shao, Bokai Cao, Philip S. Yu:
Multilinear Factorization Machines for Multi-Task Multi-View Learning. WSDM 2017: 701-709 - [i6]Chun-Ta Lu, Lifang He, Hao Ding, Philip S. Yu:
Learning from Multi-View Structural Data via Structural Factorization Machines. CoRR abs/1704.03037 (2017) - [i5]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 abs/1709.03621 (2017) - [i4]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 abs/1709.03659 (2017) - [i3]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 abs/1710.08015 (2017) - 2016
- [c13]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: 96-105 - [c12]Xiaokai Wei, Bokai Cao, Weixiang Shao, Chun-Ta Lu, Philip S. Yu:
Community detection with partially observable links and node attributes. IEEE BigData 2016: 773-782 - [c11]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: 803-812 - [c10]Weixiang Shao, Lifang He, Chun-Ta Lu, Philip S. Yu:
Online multi-view clustering with incomplete views. IEEE BigData 2016: 1012-1017 - [c9]Weixiang Shao, Lifang He, Chun-Ta Lu, Xiaokai Wei, Philip S. Yu:
Online Unsupervised Multi-view Feature Selection. ICDM 2016: 1203-1208 - [c8]Chun-Ta Lu, Sihong Xie, Weixiang Shao, Lifang He, Philip S. Yu:
Item Recommendation for Emerging Online Businesses. IJCAI 2016: 3797-3803 - [c7]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: 875-884 - [c6]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: 17-32 - [c5]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: 36-44 - [c4]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: 819-827 - [i2]Weixiang Shao, Lifang He, Chun-Ta Lu, Xiaokai Wei, Philip S. Yu:
Online Unsupervised Multi-view Feature Selection. CoRR abs/1609.08286 (2016) - [i1]Weixiang Shao, Lifang He, Chun-Ta Lu, Philip S. Yu:
Online Multi-view Clustering with Incomplete Views. CoRR abs/1611.00481 (2016) - 2014
- [c3]Chun-Ta Lu, Hong-Han Shuai, Philip S. Yu:
Identifying Your Customers in Social Networks. CIKM 2014: 391-400 - [c2]Chun-Ta Lu, Sihong Xie, Xiangnan Kong, Philip S. Yu:
Inferring the impacts of social media on crowdfunding. WSDM 2014: 573-582 - 2011
- [c1]Chun-Ta Lu, Po-Ruey Lei, Wen-Chih Peng, Ing-Jiunn Su:
A Framework of Mining Semantic Regions from Trajectories. DASFAA (1) 2011: 193-207
Coauthor Index
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