Fanglan Chen

35 papers A* 5A 2B 1Journal 17Unranked 10
YearRankTypeTitle / Venue / Authors
2026 J jnl
Survey of uncertainty estimation in LLMs - Sources, methods, applications, and challenges.
Inf. Fusion
Jianfeng He, Linlin Yu, Changbin Li, Runing Yang, Fanglan Chen, Kangshuo Li, Min Zhang, Shuo Lei, Xuchao Zhang, Mohammad Beigi, Kaize Ding, Bei Xiao, Lifu Huang, Feng Chen, Ming Jin, Chang-Tien Lu
2025 J jnl
HouseTS: A Large-Scale, Multimodal Spatiotemporal U.S. Housing Dataset.
CoRR
Shengkun Wang, Yanshen Sun, Fanglan Chen, Linhan Wang, Naren Ramakrishnan, Chang-Tien Lu, Yinlin Chen
2025 A conf
Optimizing Transit Network Expansion with Gated Attentive Graph Reinforcement Learning.
SDM
Fanglan Chen, Dongjie Wang, Jianfeng He, Shuo Lei, Chang-Tien Lu
2025 — conf
QoLScope: Efficient Visual Exploration of Housing-Centric Quality of Life.
ICDM (Workshops)
Guann-Luen Chen, Li-Chieh Kung, Fanglan Chen, Chang-Tien Lu
2025 — conf
RailEstate: An Interactive System for Metro Linked Property Trends.
SIGSPATIAL/GIS
Chen-Wei Chang, Yu-Chieh Cheng, Yun-En Tsai, Fanglan Chen, Chang-Tien Lu
2025 J jnl
RailEstate: An Interactive System for Metro Linked Property Trends.
CoRR
Chen-Wei Chang, Yu-Chieh Cheng, Yun-En Tsai, Fanglan Chen, Chang-Tien Lu
2024 J jnl
Bridging the Gap between Spatial and Spectral Domains: A Unified Framework for Graph Neural Networks.
ACM Comput. Surv.
Zhiqian Chen, Fanglan Chen, Lei Zhang, Taoran Ji, Kaiqun Fu, Liang Zhao, Feng Chen, Lingfei Wu, Charu Aggarwal, Chang-Tien Lu
2023 J jnl
Automated Urban Planning for Reimagining City Configuration via Adversarial Learning: Quantification, Generation, and Evaluation.
ACM Trans. Spatial Algorithms Syst.
Dongjie Wang, Yanjie Fu, Kunpeng Liu, Fanglan Chen, Pengyang Wang, Chang-Tien Lu
2023 A* conf
CLUR: Uncertainty Estimation for Few-Shot Text Classification with Contrastive Learning.
KDD
Jianfeng He, Xuchao Zhang, Shuo Lei, Abdulaziz Alhamadani, Fanglan Chen, Bei Xiao, Chang-Tien Lu
2023 A* conf
Exploring Tradeoffs in Automated School Redistricting: Computational and Ethical Perspectives.
AAAI
Fanglan Chen, Subhodip Biswas, Zhiqian Chen, Shuo Lei, Naren Ramakrishnan, Chang-Tien Lu
2023 J jnl
Memetic Algorithms for Spatial Partitioning Problems.
ACM Trans. Spatial Algorithms Syst.
Subhodip Biswas, Fanglan Chen, Zhiqian Chen, Chang-Tien Lu, Naren Ramakrishnan
2023 — conf
TART: Improved Few-shot Text Classification Using Task-Adaptive Reference Transformation.
ACL (1)
Shuo Lei, Xuchao Zhang, Jianfeng He, Fanglan Chen, Chang-Tien Lu
2023 J jnl
TART: Improved Few-shot Text Classification Using Task-Adaptive Reference Transformation.
CoRR
Shuo Lei, Xuchao Zhang, Jianfeng He, Fanglan Chen, Chang-Tien Lu
2022 A* conf
Blocking Influence at Collective Level with Hard Constraints (Student Abstract).
AAAI
Zonghan Zhang, Subhodip Biswas, Fanglan Chen, Kaiqun Fu, Taoran Ji, Chang-Tien Lu, Naren Ramakrishnan, Zhiqian Chen
2022 — conf
Cross-Domain Few-Shot Semantic Segmentation.
ECCV (30)
Shuo Lei, Xuchao Zhang, Jianfeng He, Fanglan Chen, Bowen Du, Chang-Tien Lu
2022 J jnl
Detecting anomalous traffic behaviors with seasonal deep Kalman filter graph convolutional neural networks.
J. King Saud Univ. Comput. Inf. Sci.
Yanshen Sun, Yen-Cheng Lu, Kaiqun Fu, Fanglan Chen, Chang-Tien Lu
2022 J jnl
Memetic algorithms for Spatial Partitioning problems.
CoRR
Subhodip Biswas, Fanglan Chen, Zhiqian Chen, Chang-Tien Lu, Naren Ramakrishnan
2022 J jnl
Sampling-based techniques for designing school boundaries.
CoRR
Subhodip Biswas, Fanglan Chen, Zhiqian Chen, Chang-Tien Lu, Naren Ramakrishnan
2022 — conf
Uncertainty-Aware Cross-Lingual Transfer with Pseudo Partial Labels.
NAACL-HLT (Findings)
Shuo Lei, Xuchao Zhang, Jianfeng He, Fanglan Chen, Chang-Tien Lu
2021 J jnl
Automated Urban Planning for Reimagining City Configuration via Adversarial Learning: Quantification, Generation, and Evaluation.
CoRR
Dongjie Wang, Yanjie Fu, Kunpeng Liu, Fanglan Chen, Pengyang Wang, Chang-Tien Lu
2021 J jnl
Bridging the Gap between Spatial and Spectral Domains: A Theoretical Framework for Graph Neural Networks.
CoRR
Zhiqian Chen, Fanglan Chen, Lei Zhang, Taoran Ji, Kaiqun Fu, Liang Zhao, Feng Chen, Lingfei Wu, Charu C. Aggarwal, Chang-Tien Lu
2021 B conf
Deep diffusion-based forecasting of COVID-19 by incorporating network-level mobility information.
ASONAM
Padmaksha Roy, Shailik Sarkar, Subhodip Biswas, Fanglan Chen, Zhiqian Chen, Naren Ramakrishnan, Chang-Tien Lu
2021 J jnl
Deep diffusion-based forecasting of COVID-19 by incorporating network-level mobility information.
CoRR
Padmaksha Roy, Shailik Sarkar, Subhodip Biswas, Fanglan Chen, Zhiqian Chen, Naren Ramakrishnan, Chang-Tien Lu
2021 A conf
Few-Shot Semantic Segmentation via Prototype Augmentation with Image-Level Annotations.
ICME
Shuo Lei, Xuchao Zhang, Jianfeng He, Fanglan Chen, Chang-Tien Lu
2020 J jnl
Bridging the Gap between Spatial and Spectral Domains: A Survey on Graph Neural Networks.
CoRR
Zhiqian Chen, Fanglan Chen, Lei Zhang, Taoran Ji, Kaiqun Fu, Liang Zhao, Feng Chen, Chang-Tien Lu
2020 J jnl
Few-Shot Semantic Segmentation Augmented with Image-Level Weak Annotations.
CoRR
Shuo Lei, Xuchao Zhang, Jianfeng He, Fanglan Chen, Chang-Tien Lu
2020 A* conf
Geospatial Clustering for Balanced and Proximal Schools.
AAAI
Subhodip Biswas, Fanglan Chen, Andreea Sistrunk, Sathappan Muthiah, Zhiqian Chen, Nathan Self, Chang-Tien Lu, Naren Ramakrishnan
2020 — conf
Graph Convolutional Networks with Kalman Filtering for Traffic Prediction.
SIGSPATIAL/GIS
Fanglan Chen, Zhiqian Chen, Subhodip Biswas, Shuo Lei, Naren Ramakrishnan, Chang-Tien Lu
2020 — conf
Incorporating domain knowledge into Memetic Algorithms for solving Spatial Optimization problems.
SIGSPATIAL/GIS
Subhodip Biswas, Fanglan Chen, Zhiqian Chen, Chang-Tien Lu, Naren Ramakrishnan
2020 A* conf
Self-Paced Robust Learning for Leveraging Clean Labels in Noisy Data.
AAAI
Xuchao Zhang, Xian Wu, Fanglan Chen, Liang Zhao, Chang-Tien Lu
2020 — conf
Towards More Accurate Uncertainty Estimation In Text Classification.
EMNLP (1)
Jianfeng He, Xuchao Zhang, Shuo Lei, Zhiqian Chen, Fanglan Chen, Abdulaziz Alhamadani, Bei Xiao, Chang-Tien Lu
2019 — conf
Mitigating Uncertainty in Document Classification.
NAACL-HLT (1)
Xuchao Zhang, Fanglan Chen, Chang-Tien Lu, Naren Ramakrishnan
2019 J jnl
Mitigating Uncertainty in Document Classification.
CoRR
Xuchao Zhang, Fanglan Chen, Chang-Tien Lu, Naren Ramakrishnan
2019 — conf
REGAL: A Regionalization framework for school boundaries.
SIGSPATIAL/GIS
Subhodip Biswas, Fanglan Chen, Zhiqian Chen, Andreea Sistrunk, Nathan Self, Chang-Tien Lu, Naren Ramakrishnan
2017 J jnl
SAFEBIKE: A Bike-sharing Route Recommender with Availability Prediction and Safe Routing.
CoRR
Weisheng Zhong, Fanglan Chen, Kaiqun Fu, Chang-Tien Lu