Chun-Ta Lu - RankMe

63 papers A* 17A 11B 2Journal 22Unranked 11

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Agile Deliberation: Concept Deliberation for Subjective Visual Classification. CoRR Leijie Wang, Otilia Stretcu, Wei Qiao, Thomas Denby, Krishnamurthy Viswanathan, Enming Luo, Chun-Ta Lu, Tushar Dogra, Ranjay Krishna, Ariel Fuxman
2025	J	`jnl`	S2Vec: Self-Supervised Geospatial Embeddings. CoRR Shushman Choudhury, Elad Aharoni, Chandrakumari Suvarna, Iveel Tsogsuren, Abdul Rahman Kreidieh, Chun-Ta Lu, Neha Arora
2024	J	`jnl`	Modeling Collaborator: Enabling Subjective Vision Classification With Minimal Human Effort via LLM Tool-Use. CoRR 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	A*	`conf`	Modeling Collaborator: Enabling Subjective Vision Classification with Minimal Human Effort via LLM Tool-Use. CVPR 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	A	`conf`	Scaling Up LLM Reviews for Google Ads Content Moderation. WSDM 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
2024	J	`jnl`	Scaling Up LLM Reviews for Google Ads Content Moderation. CoRR 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
2024	A*	`conf`	Visual Program Distillation: Distilling Tools and Programmatic Reasoning into Vision-Language Models. CVPR Yushi Hu, Otilia Stretcu, Chun-Ta Lu, Krishnamurthy Viswanathan, Kenji Hata, Enming Luo, Ranjay Krishna, Ariel Fuxman
2023	A*	`conf`	Agile Modeling: From Concept to Classifier in Minutes. ICCV 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
2023	J	`jnl`	Agile Modeling: Image Classification with Domain Experts in the Loop. CoRR 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
2023	A*	`conf`	Benchmarking Robustness to Adversarial Image Obfuscations. NeurIPS 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
2023	J	`jnl`	Benchmarking Robustness to Adversarial Image Obfuscations. CoRR 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
2023	J	`jnl`	Non-Intrusive Adaptation: Input-Centric Parameter-efficient Fine-Tuning for Versatile Multimodal Modeling. CoRR Yaqing Wang, Jialin Wu, Tanmaya Dabral, Jiageng Zhang, Geoff Brown, Chun-Ta Lu, Frederick Liu, Yi Liang, Bo Pang, Michael Bendersky, Radu Soricut
2023	J	`jnl`	Visual Program Distillation: Distilling Tools and Programmatic Reasoning into Vision-Language Models. CoRR Yushi Hu, Otilia Stretcu, Chun-Ta Lu, Krishnamurthy Viswanathan, Kenji Hata, Enming Luo, Ranjay Krishna, Ariel Fuxman
2021	J	`jnl`	CARLS: Cross-platform Asynchronous Representation Learning System. CoRR 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
2021	A	`conf`	Neural Structured Learning: Training Neural Networks with Structured Signals. WSDM 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	J	`jnl`	CAMAR: a broad learning based context-aware recommender for mobile applications. Knowl. Inf. Syst. Tingting Liang, Lifang He, Chun-Ta Lu, Liang Chen, Haochao Ying, Philip S. Yu, Jian Wu
2020	B	`conf`	MZET: Memory Augmented Zero-Shot Fine-grained Named Entity Typing. COLING Tao Zhang, Congying Xia, Chun-Ta Lu, Philip S. Yu
2020	J	`jnl`	MZET: Memory Augmented Zero-Shot Fine-grained Named Entity Typing. CoRR Tao Zhang, Congying Xia, Chun-Ta Lu, Philip S. Yu
2020	A*	`conf`	Neural Structured Learning: Training Neural Networks with Structured Signals. KDD Arjun Gopalan, Da-Cheng Juan, Cesar Ilharco Magalhaes, Chun-Sung Ferng, Allan Heydon, Chun-Ta Lu, Philip Pham, George Yu
2020	A	`conf`	Ultra Fine-Grained Image Semantic Embedding. WSDM Da-Cheng Juan, Chun-Ta Lu, Zhen Li, Futang Peng, Aleksei Timofeev, Yi-Ting Chen, Yaxi Gao, Tom Duerig, Andrew Tomkins, Sujith Ravi
2019	—	`conf`	Community-preserving Graph Convolutions for Structural and Functional Joint Embedding of Brain Networks. IEEE BigData Jiahao Liu, Guixiang Ma, Fei Jiang, Chun-Ta Lu, Philip S. Yu, Ann B. Ragin
2019	J	`jnl`	Community-preserving Graph Convolutions for Structural and Functional Joint Embedding of Brain Networks. CoRR Jiahao Liu, Guixiang Ma, Fei Jiang, Chun-Ta Lu, Philip S. Yu, Ann B. Ragin
2019	A*	`conf`	Deep Distribution Network: Addressing the Data Sparsity Issue for Top-N Recommendation. SIGIR Lei Zheng, Chaozhuo Li, Chun-Ta Lu, Jiawei Zhang, Philip S. Yu
2019	A*	`conf`	Gated Spectral Units: Modeling Co-evolving Patterns for Sequential Recommendation. SIGIR Lei Zheng, Ziwei Fan, Chun-Ta Lu, Jiawei Zhang, Philip S. Yu
2019	J	`jnl`	Graph-RISE: Graph-Regularized Image Semantic Embedding. CoRR Da-Cheng Juan, Chun-Ta Lu, Zhen Li, Futang Peng, Aleksei Timofeev, Yi-Ting Chen, Yaxi Gao, Tom Duerig, Andrew Tomkins, Sujith Ravi
2019	A	`conf`	Inferring Context from Pixels for Multimodal Image Classification. CIKM Manan Shah, Krishnamurthy Viswanathan, Chun-Ta Lu, Ariel Fuxman, Zhen Li, Aleksei Timofeev, Chao Jia, Chen Sun
2019	B	`conf`	MARS: Memory Attention-Aware Recommender System. DSAA Lei Zheng, Chun-Ta Lu, Lifang He, Sihong Xie, He Huang, Chaozhuo Li, Vahid Noroozi, Bowen Dong, Philip S. Yu
2018	J	`jnl`	A Self-Organizing Tensor Architecture for Multi-View Clustering. CoRR Lifang He, Chun-Ta Lu, Yong Chen, Jiawei Zhang, Linlin Shen, Philip S. Yu, Fei Wang
2018	A*	`conf`	A Self-Organizing Tensor Architecture for Multi-view Clustering. ICDM Lifang He, Chun-Ta Lu, Yong Chen, Jiawei Zhang, Linlin Shen, Philip S. Yu, Fei Wang
2018	A*	`conf`	Learning from Multi-View Multi-Way Data via Structural Factorization Machines. WWW Chun-Ta Lu, Lifang He, Hao Ding, Bokai Cao, Philip S. Yu
2018	J	`jnl`	MARS: Memory Attention-Aware Recommender System. CoRR Lei Zheng, Chun-Ta Lu, Lifang He, Sihong Xie, Vahid Noroozi, He Huang, Philip S. Yu
2018	J	`jnl`	Spectral Collaborative Filtering. CoRR Lei Zheng, Chun-Ta Lu, Fei Jiang, Jiawei Zhang, Philip S. Yu
2018	A	`conf`	Spectral collaborative filtering. RecSys Lei Zheng, Chun-Ta Lu, Fei Jiang, Jiawei Zhang, Philip S. Yu
2017	A*	`conf`	A Broad Learning Approach for Context-Aware Mobile Application Recommendation. ICDM Tingting Liang, Lifang He, Chun-Ta Lu, Liang Chen, Philip S. Yu, Jian Wu
2017	J	`jnl`	A Broad Learning Approach for Context-Aware Mobile Application Recommendation. CoRR Tingting Liang, Lifang He, Chun-Ta Lu, Liang Chen, Philip S. Yu, Jian Wu
2017	J	`jnl`	Bringing Semantic Structures to User Intent Detection in Online Medical Queries. CoRR Chenwei Zhang, Nan Du, Wei Fan, Yaliang Li, Chun-Ta Lu, Philip S. Yu
2017	—	`conf`	Bringing semantic structures to user intent detection in online medical queries. IEEE BigData Chenwei Zhang, Nan Du, Wei Fan, Yaliang Li, Chun-Ta Lu, Philip S. Yu
2017	—	`conf`	Collective Geographical Embedding for Geolocating Social Network Users. PAKDD (1) Fengjiao Wang, Chun-Ta Lu, Yongzhi Qu, Philip S. Yu
2017	—	`conf`	Connecting emerging relationships from news via tensor factorization. IEEE BigData Jingyuan Zhang, Chun-Ta Lu, Bokai Cao, Yi Chang, Philip S. Yu
2017	—	`conf`	Deep and Broad Learning on Content-Aware POI Recommendation. CIC Fengjiao Wang, Yongzhi Qu, Lei Zheng, Chun-Ta Lu, Philip S. Yu
2017	A*	`conf`	Kernelized Support Tensor Machines. ICML Lifang He, Chun-Ta Lu, Guixiang Ma, Shen Wang, Linlin Shen, Philip S. Yu, Ann B. Ragin
2017	J	`jnl`	Learning from Multi-View Structural Data via Structural Factorization Machines. CoRR Chun-Ta Lu, Lifang He, Hao Ding, Philip S. Yu
2017	A	`conf`	Multi-view Clustering with Graph Embedding for Connectome Analysis. CIKM Guixiang Ma, Lifang He, Chun-Ta Lu, Weixiang Shao, Philip S. Yu, Alex D. Leow, Ann B. Ragin
2017	A*	`conf`	Multi-view Graph Embedding with Hub Detection for Brain Network Analysis. ICDM Guixiang Ma, Chun-Ta Lu, Lifang He, Philip S. Yu, Ann B. Ragin
2017	J	`jnl`	Multi-view Graph Embedding with Hub Detection for Brain Network Analysis. CoRR Guixiang Ma, Chun-Ta Lu, Lifang He, Philip S. Yu, Ann B. Ragin
2017	A*	`conf`	Multi-way Multi-level Kernel Modeling for Neuroimaging Classification. CVPR Lifang He, Chun-Ta Lu, Hao Ding, Shen Wang, Linlin Shen, Philip S. Yu, Ann B. Ragin
2017	A	`conf`	Multilinear Factorization Machines for Multi-Task Multi-View Learning. WSDM Chun-Ta Lu, Lifang He, Weixiang Shao, Bokai Cao, Philip S. Yu
2017	A*	`conf`	Structural Deep Brain Network Mining. KDD Shen Wang, Lifang He, Bokai Cao, Chun-Ta Lu, Philip S. Yu, Ann B. Ragin
2016	—	`conf`	Community detection with partially observable links and node attributes. IEEE BigData Xiaokai Wei, Bokai Cao, Weixiang Shao, Chun-Ta Lu, Philip S. Yu
2016	—	`conf`	HEER: Heterogeneous graph embedding for emerging relation detection from news. IEEE BigData Jingyuan Zhang, Chun-Ta Lu, Mianwei Zhou, Sihong Xie, Yi Chang, Philip S. Yu
2016	A	`conf`	Identifying Connectivity Patterns for Brain Diseases via Multi-side-view Guided Deep Architectures. SDM Jingyuan Zhang, Bokai Cao, Sihong Xie, Chun-Ta Lu, Philip S. Yu, Ann B. Ragin
2016	—	`conf`	Interpretable and effective opinion spam detection via temporal patterns mining across websites. IEEE BigData Yuan Yuan, Sihong Xie, Chun-Ta Lu, Jie Tang, Philip S. Yu
2016	A*	`conf`	Item Recommendation for Emerging Online Businesses. IJCAI Chun-Ta Lu, Sihong Xie, Weixiang Shao, Lifang He, Philip S. Yu
2016	A*	`conf`	Joint Community and Structural Hole Spanner Detection via Harmonic Modularity. KDD Lifang He, Chun-Ta Lu, Jiaqi Ma, Jianping Cao, Linlin Shen, Philip S. Yu
2016	J	`jnl`	Online Multi-view Clustering with Incomplete Views. CoRR Weixiang Shao, Lifang He, Chun-Ta Lu, Philip S. Yu
2016	A*	`conf`	Online Unsupervised Multi-view Feature Selection. ICDM Weixiang Shao, Lifang He, Chun-Ta Lu, Xiaokai Wei, Philip S. Yu
2016	J	`jnl`	Online Unsupervised Multi-view Feature Selection. CoRR Weixiang Shao, Lifang He, Chun-Ta Lu, Xiaokai Wei, Philip S. Yu
2016	—	`conf`	Online multi-view clustering with incomplete views. IEEE BigData Weixiang Shao, Lifang He, Chun-Ta Lu, Philip S. Yu
2016	—	`conf`	Semi-supervised Tensor Factorization for Brain Network Analysis. ECML/PKDD (1) Bokai Cao, Chun-Ta Lu, Xiaokai Wei, Philip S. Yu, Alex D. Leow
2016	A	`conf`	Spatio-Temporal Tensor Analysis for Whole-Brain fMRI Classification. SDM Guixiang Ma, Lifang He, Chun-Ta Lu, Philip S. Yu, Linlin Shen, Ann B. Ragin
2014	A	`conf`	Identifying Your Customers in Social Networks. CIKM Chun-Ta Lu, Hong-Han Shuai, Philip S. Yu
2014	A	`conf`	Inferring the impacts of social media on crowdfunding. WSDM Chun-Ta Lu, Sihong Xie, Xiangnan Kong, Philip S. Yu
2011	—	`conf`	A Framework of Mining Semantic Regions from Trajectories. DASFAA (1) Chun-Ta Lu, Po-Ruey Lei, Wen-Chih Peng, Ing-Jiunn Su