Fanglan Chen

According to our database, Fanglan Chen authored at least 24 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of four.

2024

Bridging the Gap between Spatial and Spectral Domains: A Unified Framework for Graph Neural Networks.

Zhiqian Chen, Fanglan Chen, Lei Zhang, Taoran Ji, Kaiqun Fu, Liang Zhao, Feng Chen, Lingfei Wu, Charu Aggarwal, Chang-Tien Lu

ACM Comput. Surv., May, 2024

2023

Automated Urban Planning for Reimagining City Configuration via Adversarial Learning: Quantification, Generation, and Evaluation.

Dongjie Wang, Yanjie Fu, Kunpeng Liu, Fanglan Chen, Pengyang Wang, Chang-Tien Lu

ACM Trans. Spatial Algorithms Syst., March, 2023

Memetic Algorithms for Spatial Partitioning Problems.

Subhodip Biswas, Fanglan Chen, Zhiqian Chen, Chang-Tien Lu, Naren Ramakrishnan

ACM Trans. Spatial Algorithms Syst., March, 2023

CLUR: Uncertainty Estimation for Few-Shot Text Classification with Contrastive Learning.

Jianfeng He, Xuchao Zhang, Shuo Lei, Abdulaziz Alhamadani, Fanglan Chen, Bei Xiao, Chang-Tien Lu

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

TART: Improved Few-shot Text Classification Using Task-Adaptive Reference Transformation.

Shuo Lei, Xuchao Zhang, Jianfeng He, Fanglan Chen, Chang-Tien Lu

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Exploring Tradeoffs in Automated School Redistricting: Computational and Ethical Perspectives.

Fanglan Chen, Subhodip Biswas, Zhiqian Chen, Shuo Lei, Naren Ramakrishnan, Chang-Tien Lu

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Detecting anomalous traffic behaviors with seasonal deep Kalman filter graph convolutional neural networks.

Yanshen Sun, Yen-Cheng Lu, Kaiqun Fu, Fanglan Chen, Chang-Tien Lu

J. King Saud Univ. Comput. Inf. Sci., 2022

Sampling-based techniques for designing school boundaries.

Subhodip Biswas, Fanglan Chen, Zhiqian Chen, Chang-Tien Lu, Naren Ramakrishnan

CoRR, 2022

Uncertainty-Aware Cross-Lingual Transfer with Pseudo Partial Labels.

Shuo Lei, Xuchao Zhang, Jianfeng He, Fanglan Chen, Chang-Tien Lu

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022

Cross-Domain Few-Shot Semantic Segmentation.

Shuo Lei, Xuchao Zhang, Jianfeng He, Fanglan Chen, Bowen Du, Chang-Tien Lu

Proceedings of the Computer Vision - ECCV 2022, 2022

Blocking Influence at Collective Level with Hard Constraints (Student Abstract).

Zonghan Zhang, Subhodip Biswas, Fanglan Chen, Kaiqun Fu, Taoran Ji, Chang-Tien Lu, Naren Ramakrishnan, Zhiqian Chen

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Bridging the Gap between Spatial and Spectral Domains: A Theoretical Framework for Graph Neural Networks.

Zhiqian Chen, Fanglan Chen, Lei Zhang, Taoran Ji, Kaiqun Fu, Liang Zhao, Feng Chen, Lingfei Wu, Charu C. Aggarwal, Chang-Tien Lu

CoRR, 2021

Few-Shot Semantic Segmentation via Prototype Augmentation with Image-Level Annotations.

Shuo Lei, Xuchao Zhang, Jianfeng He, Fanglan Chen, Chang-Tien Lu

Proceedings of the 2021 IEEE International Conference on Multimedia and Expo, 2021

Deep diffusion-based forecasting of COVID-19 by incorporating network-level mobility information.

Padmaksha Roy, Shailik Sarkar, Subhodip Biswas, Fanglan Chen, Zhiqian Chen, Naren Ramakrishnan, Chang-Tien Lu

Proceedings of the ASONAM '21: International Conference on Advances in Social Networks Analysis and Mining, Virtual Event, The Netherlands, November 8, 2021

2020

Few-Shot Semantic Segmentation Augmented with Image-Level Weak Annotations.

Shuo Lei, Xuchao Zhang, Jianfeng He, Fanglan Chen, Chang-Tien Lu

CoRR, 2020

Bridging the Gap between Spatial and Spectral Domains: A Survey on Graph Neural Networks.

Zhiqian Chen, Fanglan Chen, Lei Zhang, Taoran Ji, Kaiqun Fu, Liang Zhao, Feng Chen, Chang-Tien Lu

CoRR, 2020

Graph Convolutional Networks with Kalman Filtering for Traffic Prediction.

Fanglan Chen, Zhiqian Chen, Subhodip Biswas, Shuo Lei, Naren Ramakrishnan, Chang-Tien Lu

Proceedings of the SIGSPATIAL '20: 28th International Conference on Advances in Geographic Information Systems, 2020

Incorporating domain knowledge into Memetic Algorithms for solving Spatial Optimization problems.

Subhodip Biswas, Fanglan Chen, Zhiqian Chen, Chang-Tien Lu, Naren Ramakrishnan

Proceedings of the SIGSPATIAL '20: 28th International Conference on Advances in Geographic Information Systems, 2020

Towards More Accurate Uncertainty Estimation In Text Classification.

Jianfeng He, Xuchao Zhang, Shuo Lei, Zhiqian Chen, Fanglan Chen, Abdulaziz Alhamadani, Bei Xiao, Chang-Tien Lu

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Self-Paced Robust Learning for Leveraging Clean Labels in Noisy Data.

Xuchao Zhang, Xian Wu, Fanglan Chen, Liang Zhao, Chang-Tien Lu

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

Geospatial Clustering for Balanced and Proximal Schools.

Subhodip Biswas, Fanglan Chen, Andreea Sistrunk, Sathappan Muthiah, Zhiqian Chen, Nathan Self, Chang-Tien Lu, Naren Ramakrishnan

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Mitigating Uncertainty in Document Classification.

Xuchao Zhang, Fanglan Chen, Chang-Tien Lu, Naren Ramakrishnan

Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

REGAL: A Regionalization framework for school boundaries.

Subhodip Biswas, Fanglan Chen, Zhiqian Chen, Andreea Sistrunk, Nathan Self, Chang-Tien Lu, Naren Ramakrishnan

Proceedings of the 27th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, 2019

2017

SAFEBIKE: A Bike-sharing Route Recommender with Availability Prediction and Safe Routing.

Weisheng Zhong, Fanglan Chen, Kaiqun Fu, Chang-Tien Lu

CoRR, 2017