Shuo Lei

According to our database, Shuo Lei authored at least 26 papers between 2015 and 2024.

Collaborative distances:

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

2024

Exploring the Deceptive Power of LLM-Generated Fake News: A Study of Real-World Detection Challenges.

Yanshen Sun, Jianfeng He, Limeng Cui, Shuo Lei, Chang-Tien Lu

CoRR, 2024

2023

Can LLM find the green circle? Investigation and Human-guided tool manipulation for compositional generalization.

Min Zhang, Jianfeng He, Shuo Lei, Murong Yue, Linhang Wang, Chang-Tien Lu

CoRR, 2023

Uncertainty Estimation on Sequential Labeling via Uncertainty Transmission.

Jianfeng He, Linlin Yu, Shuo Lei, Chang-Tien Lu, Feng Chen

CoRR, 2023

Med-MMHL: A Multi-Modal Dataset for Detecting Human- and LLM-Generated Misinformation in the Medical Domain.

Yanshen Sun, Jianfeng He, Shuo Lei, Limeng Cui, Chang-Tien Lu

CoRR, 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

Self-Correlation and Cross-Correlation Learning for Few-Shot Remote Sensing Image Semantic Segmentation.

Linhan Wang, Shuo Lei, Jianfeng He, Shengkun Wang, Min Zhang, Chang-Tien Lu

Proceedings of the 31st ACM International Conference on Advances in Geographic Information Systems, 2023

Beyond Layout Embedding: Layout Attention with Gaussian Biases for Structured Document Understanding.

Xi Zhu, Xue Han, Shuyuan Peng, Shuo Lei, Chao Deng, Junlan Feng

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 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

Online and Distributed Robust Regressions with Extremely Noisy Labels.

Shuo Lei, Xuchao Zhang, Liang Zhao, Arnold P. Boedihardjo, Chang-Tien Lu

ACM Trans. Knowl. Discov. Data, 2022

Semantic inpainting on segmentation map via multi-expansion loss.

Jianfeng He, Xuchao Zhang, Shuo Lei, Shuhui Wang, Chang-Tien Lu, Bei Xiao

Neurocomputing, 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

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

Reducing Noise Pixels and Metric Bias in Semantic Inpainting on Segmentation Map.

Jianfeng He, Bei Xiao, Xuchao Zhang, Shuo Lei, Shuhui Wang, Chang-Tien Lu

Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops, 2021

2020

Semantic Editing On Segmentation Map Via Multi-Expansion Loss.

Jianfeng He, Xuchao Zhang, Shuo Lei, Shuhui Wang, Qingming Huang, Chang-Tien Lu, Bei Xiao

CoRR, 2020

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

Shuo Lei, Xuchao Zhang, Jianfeng He, Fanglan 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

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

2019

Robust Regression via Heuristic Corruption Thresholding and Its Adaptive Estimation Variation.

Xuchao Zhang, Shuo Lei, Liang Zhao, Arnold P. Boedihardjo, Chang-Tien Lu

ACM Trans. Knowl. Discov. Data, 2019

2018

T-START: Time, Status and Region Aware Taxi Mobility Model for Metropolis.

Haiquan Wang, Shuo Lei, Binglin Wu, Yilin Li, Bowen Du

KSII Trans. Internet Inf. Syst., 2018

Robust Regression via Online Feature Selection Under Adversarial Data Corruption.

Xuchao Zhang, Shuo Lei, Liang Zhao, Arnold P. Boedihardjo, Chang-Tien Lu

Proceedings of the IEEE International Conference on Data Mining, 2018

2017

Spatiotemporal multi-task learning for citywide passenger flow prediction.

Runxing Zhong, Weifeng Lv, Bowen Du, Shuo Lei, Runhe Huang

Proceedings of the 2017 IEEE SmartWorld, 2017

Forecasting car rental demand based temporal and spatial travel patterns.

Shuo Lei, Haiquan Wang, Chen Yang, Bowen Du, Runxing Zhong, Runhe Huang

Proceedings of the 2017 IEEE SmartWorld, 2017

2016

Research on Multi-Objective Bus Route Planning Model Based on Taxi GPS Data.

Shuo Lei, Zexi Li, Binglin Wu, Haiquan Wang

Proceedings of the International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery, 2016

2015

CMTG: A Content-Based Mobile Tendency Geocast Routing Protocol in Urban Vehicular Networks.

Haiquan Wang, Tao Zhu, Shuo Lei, Wenjing Yang, Yu Wang

Int. J. Distributed Sens. Networks, 2015