Kaidi Cao - RankMe

50 papers A* 21Journal 28Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Periodic Wave Train Solutions of the Age-Structured SIRS Epidemic Model with Diffusion. Int. J. Bifurc. Chaos Kaidi Cao, Yajing Li, Zhihua Liu
2024	A*	`conf`	AvaTaR: Optimizing LLM Agents for Tool Usage via Contrastive Reasoning. NeurIPS Shirley Wu, Shiyu Zhao, Qian Huang, Kexin Huang, Michihiro Yasunaga, Kaidi Cao, Vassilis N. Ioannidis, Karthik Subbian, Jure Leskovec, James Y. Zou
2024	J	`jnl`	AvaTaR: Optimizing LLM Agents for Tool-Assisted Knowledge Retrieval. CoRR Shirley Wu, Shiyu Zhao, Qian Huang, Kexin Huang, Michihiro Yasunaga, Kaidi Cao, Vassilis N. Ioannidis, Karthik Subbian, Jure Leskovec, James Zou
2024	A*	`conf`	GraphMETRO: Mitigating Complex Graph Distribution Shifts via Mixture of Aligned Experts. NeurIPS Shirley Wu, Kaidi Cao, Bruno Ribeiro, James Y. Zou, Jure Leskovec
2024	J	`jnl`	PyTorch Frame: A Modular Framework for Multi-Modal Tabular Learning. CoRR Weihua Hu, Yiwen Yuan, Zecheng Zhang, Akihiro Nitta, Kaidi Cao, Vid Kocijan, Jure Leskovec, Matthias Fey
2024	A*	`conf`	STaRK: Benchmarking LLM Retrieval on Textual and Relational Knowledge Bases. NeurIPS Shirley Wu, Shiyu Zhao, Michihiro Yasunaga, Kexin Huang, Kaidi Cao, Qian Huang, Vassilis N. Ioannidis, Karthik Subbian, James Y. Zou, Jure Leskovec
2024	J	`jnl`	STaRK: Benchmarking LLM Retrieval on Textual and Relational Knowledge Bases. CoRR Shirley Wu, Shiyu Zhao, Michihiro Yasunaga, Kexin Huang, Kaidi Cao, Qian Huang, Vassilis N. Ioannidis, Karthik Subbian, James Zou, Jure Leskovec
2023	A*	`conf`	AutoTransfer: AutoML with Knowledge Transfer - An Application to Graph Neural Networks. ICLR Kaidi Cao, Jiaxuan You, Jiaju Liu, Jure Leskovec
2023	J	`jnl`	AutoTransfer: AutoML with Knowledge Transfer - An Application to Graph Neural Networks. CoRR Kaidi Cao, Jiaxuan You, Jiaju Liu, Jure Leskovec
2023	J	`jnl`	Communication-Free Distributed GNN Training with Vertex Cut. CoRR Kaidi Cao, Rui Deng, Shirley Wu, Edward W. Huang, Karthik Subbian, Jure Leskovec
2023	J	`jnl`	GraphMETRO: Mitigating Complex Distribution Shifts in GNNs via Mixture of Aligned Experts. CoRR Shirley Wu, Kaidi Cao, Bruno Ribeiro, James Zou, Jure Leskovec
2023	A*	`conf`	Learning Large Graph Property Prediction via Graph Segment Training. NeurIPS Kaidi Cao, Phitchaya Mangpo Phothilimthana, Sami Abu-El-Haija, Dustin Zelle, Yanqi Zhou, Charith Mendis, Jure Leskovec, Bryan Perozzi
2023	J	`jnl`	Learning Large Graph Property Prediction via Graph Segment Training. CoRR Kaidi Cao, Phitchaya Mangpo Phothilimthana, Sami Abu-El-Haija, Dustin Zelle, Yanqi Zhou, Charith Mendis, Jure Leskovec, Bryan Perozzi
2023	J	`jnl`	Relational Multi-Task Learning: Modeling Relations between Data and Tasks. CoRR Kaidi Cao, Jiaxuan You, Jure Leskovec
2023	A*	`conf`	TpuGraphs: A Performance Prediction Dataset on Large Tensor Computational Graphs. NeurIPS Phitchaya Mangpo Phothilimthana, Sami Abu-El-Haija, Kaidi Cao, Bahare Fatemi, Michael Burrows, Charith Mendis, Bryan Perozzi
2023	J	`jnl`	TpuGraphs: A Performance Prediction Dataset on Large Tensor Computational Graphs. CoRR Phitchaya Mangpo Phothilimthana, Sami Abu-El-Haija, Kaidi Cao, Bahare Fatemi, Charith Mendis, Bryan Perozzi
2022	A*	`conf`	Learning Backward Compatible Embeddings. KDD Weihua Hu, Rajas Bansal, Kaidi Cao, Nikhil Rao, Karthik Subbian, Jure Leskovec
2022	J	`jnl`	Learning Backward Compatible Embeddings. CoRR Weihua Hu, Rajas Bansal, Kaidi Cao, Nikhil Rao, Karthik Subbian, Jure Leskovec
2022	A*	`conf`	Learning Large-scale Subsurface Simulations with a Hybrid Graph Network Simulator. KDD Tailin Wu, Qinchen Wang, Yinan Zhang, Rex Ying, Kaidi Cao, Rok Sosic, Ridwan Jalali, Hassan Hamam, Marko Maucec, Jure Leskovec
2022	J	`jnl`	Learning Large-scale Subsurface Simulations with a Hybrid Graph Network Simulator. CoRR Tailin Wu, Qinchen Wang, Yinan Zhang, Rex Ying, Kaidi Cao, Rok Sosic, Ridwan Jalali, Hassan Hamam, Marko Maucec, Jure Leskovec
2022	A*	`conf`	Open-World Semi-Supervised Learning. ICLR Kaidi Cao, Maria Brbic, Jure Leskovec
2022	A*	`conf`	Relational Multi-Task Learning: Modeling Relations between Data and Tasks. ICLR Kaidi Cao, Jiaxuan You, Jure Leskovec
2022	J	`jnl`	TuneUp: A Training Strategy for Improving Generalization of Graph Neural Networks. CoRR Weihua Hu, Kaidi Cao, Kexin Huang, Edward W. Huang, Karthik Subbian, Jure Leskovec
2021	A*	`conf`	Concept Learners for Few-Shot Learning. ICLR Kaidi Cao, Maria Brbic, Jure Leskovec
2021	A*	`conf`	Heteroskedastic and Imbalanced Deep Learning with Adaptive Regularization. ICLR Kaidi Cao, Yining Chen, Junwei Lu, Nikos Aréchiga, Adrien Gaidon, Tengyu Ma
2021	J	`jnl`	Open-World Semi-Supervised Learning. CoRR Kaidi Cao, Maria Brbic, Jure Leskovec
2020	J	`jnl`	Concept Learners for Generalizable Few-Shot Learning. CoRR Kaidi Cao, Maria Brbic, Jure Leskovec
2020	A*	`conf`	Coresets for Robust Training of Deep Neural Networks against Noisy Labels. NeurIPS Baharan Mirzasoleiman, Kaidi Cao, Jure Leskovec
2020	J	`jnl`	Coresets for Robust Training of Neural Networks against Noisy Labels. CoRR Baharan Mirzasoleiman, Kaidi Cao, Jure Leskovec
2020	A*	`conf`	Few-Shot Video Classification via Temporal Alignment. CVPR Kaidi Cao, Jingwei Ji, Zhangjie Cao, Chien-Yi Chang, Juan Carlos Niebles
2020	J	`jnl`	Heteroskedastic and Imbalanced Deep Learning with Adaptive Regularization. CoRR Kaidi Cao, Yining Chen, Junwei Lu, Nikos Aréchiga, Adrien Gaidon, Tengyu Ma
2020	A*	`conf`	Interstellar: Using Halide's Scheduling Language to Analyze DNN Accelerators. ASPLOS Xuan Yang, Mingyu Gao, Qiaoyi Liu, Jeff Setter, Jing Pu, Ankita Nayak, Steven Bell, Kaidi Cao, Heonjae Ha, Priyanka Raina, Christos Kozyrakis, Mark Horowitz
2019	A*	`conf`	Delving Deep Into Hybrid Annotations for 3D Human Recovery in the Wild. ICCV Yu Rong, Ziwei Liu, Cheng Li, Kaidi Cao, Chen Change Loy
2019	J	`jnl`	Delving Deep Into Hybrid Annotations for 3D Human Recovery in the Wild. CoRR Yu Rong, Ziwei Liu, Cheng Li, Kaidi Cao, Chen Change Loy
2019	—	`conf`	Disentangling Content and Style via Unsupervised Geometry Distillation. DGS@ICLR Wayne Wu, Kaidi Cao, Cheng Li, Chen Qian, Chen Change Loy
2019	J	`jnl`	Disentangling Content and Style via Unsupervised Geometry Distillation. CoRR Wayne Wu, Kaidi Cao, Cheng Li, Chen Qian, Chen Change Loy
2019	J	`jnl`	Few-Shot Video Classification via Temporal Alignment. CoRR Kaidi Cao, Jingwei Ji, Zhangjie Cao, Chien-Yi Chang, Juan Carlos Niebles
2019	A*	`conf`	Learning Imbalanced Datasets with Label-Distribution-Aware Margin Loss. NeurIPS Kaidi Cao, Colin Wei, Adrien Gaidon, Nikos Aréchiga, Tengyu Ma
2019	J	`jnl`	Learning Imbalanced Datasets with Label-Distribution-Aware Margin Loss. CoRR Kaidi Cao, Colin Wei, Adrien Gaidon, Nikos Aréchiga, Tengyu Ma
2019	A*	`conf`	Learning Temporal Action Proposals With Fewer Labels. ICCV Jingwei Ji, Kaidi Cao, Juan Carlos Niebles
2019	J	`jnl`	Learning Temporal Action Proposals With Fewer Labels. CoRR Jingwei Ji, Kaidi Cao, Juan Carlos Niebles
2019	A*	`conf`	TransGaGa: Geometry-Aware Unsupervised Image-To-Image Translation. CVPR Wayne Wu, Kaidi Cao, Cheng Li, Chen Qian, Chen Change Loy
2019	J	`jnl`	TransGaGa: Geometry-Aware Unsupervised Image-to-Image Translation. CoRR Wayne Wu, Kaidi Cao, Cheng Li, Chen Qian, Chen Change Loy
2018	J	`jnl`	CariGANs: Unpaired Photo-to-Caricature Translation. CoRR Kaidi Cao, Jing Liao, Lu Yuan
2018	J	`jnl`	CariGANs: unpaired photo-to-caricature translation. ACM Trans. Graph. Kaidi Cao, Jing Liao, Lu Yuan
2018	J	`jnl`	DNN Dataflow Choice Is Overrated. CoRR Xuan Yang, Mingyu Gao, Jing Pu, Ankita Nayak, Qiaoyi Liu, Steven Bell, Jeff Setter, Kaidi Cao, Heonjae Ha, Christos Kozyrakis, Mark Horowitz
2018	A*	`conf`	Merge or Not? Learning to Group Faces via Imitation Learning. AAAI Yue He, Kaidi Cao, Cheng Li, Chen Change Loy
2018	A*	`conf`	Pose-Robust Face Recognition via Deep Residual Equivariant Mapping. CVPR Kaidi Cao, Yu Rong, Cheng Li, Xiaoou Tang, Chen Change Loy
2018	J	`jnl`	Pose-Robust Face Recognition via Deep Residual Equivariant Mapping. CoRR Kaidi Cao, Yu Rong, Cheng Li, Xiaoou Tang, Chen Change Loy
2017	J	`jnl`	Merge or Not? Learning to Group Faces via Imitation Learning. CoRR Yue He, Kaidi Cao, Cheng Li, Chen Change Loy