Shuo Lei

39 papers A* 4A 2Misc 1Journal 18Unranked 13
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
Assessment of Google stock price movements in relation to financial market anticipations.
Intell. Decis. Technol.
Shuo Lei
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 J jnl
PAGen: Phase-guided Amplitude Generation for Domain-adaptive Object Detection.
CoRR
Shuchen Du, Shuo Lei, Feiran Li, Jiacheng Li, Daisuke Iso
2025 — conf
Self-attention-based Graph-of-Thought for Math Problem Solving.
ACL (Findings)
Ruiqiao Bai, Xue Han, Shuo Lei, Junlan Feng, Yanyan Luo, Chao Deng
2024 Misc conf
Can LLM Find the Green Circle? Investigation and Human-Guided Tool Manipulation for Compositional Generalization.
ICASSP
Min Zhang, Jianfeng He, Shuo Lei, Murong Yue, Linhan Wang, Chang-Tien Lu
2024 A* conf
DC-Gaussian: Improving 3D Gaussian Splatting for Reflective Dash Cam Videos.
NeurIPS
Linhan Wang, Kai Cheng, Shuo Lei, Shengkun Wang, Wei Yin, Chenyang Lei, Xiaoxiao Long, Chang-Tien Lu
2024 J jnl
DC-Gaussian: Improving 3D Gaussian Splatting for Reflective Dash Cam Videos.
CoRR
Linhan Wang, Kai Cheng, Shuo Lei, Shengkun Wang, Wei Yin, Chenyang Lei, Xiaoxiao Long, Chang-Tien Lu
2024 J jnl
Exploring the Deceptive Power of LLM-Generated Fake News: A Study of Real-World Detection Challenges.
CoRR
Yanshen Sun, Jianfeng He, Limeng Cui, Shuo Lei, Chang-Tien Lu
2024 — conf
Uncertainty Estimation on Sequential Labeling via Uncertainty Transmission.
NAACL-HLT (Findings)
Jianfeng He, Linlin Yu, Shuo Lei, Chang-Tien Lu, Feng Chen
2023 — conf
Beyond Layout Embedding: Layout Attention with Gaussian Biases for Structured Document Understanding.
EMNLP (Findings)
Xi Zhu, Xue Han, Shuyuan Peng, Shuo Lei, Chao Deng, Junlan Feng
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 J jnl
Can LLM find the green circle? Investigation and Human-guided tool manipulation for compositional generalization.
CoRR
Min Zhang, Jianfeng He, Shuo Lei, Murong Yue, Linhang Wang, 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 — —
Learning with Limited Labeled Data: Techniques and Applications.
Shuo Lei
2023 J jnl
Med-MMHL: A Multi-Modal Dataset for Detecting Human- and LLM-Generated Misinformation in the Medical Domain.
CoRR
Yanshen Sun, Jianfeng He, Shuo Lei, Limeng Cui, Chang-Tien Lu
2023 — conf
Self-Correlation and Cross-Correlation Learning for Few-Shot Remote Sensing Image Semantic Segmentation.
SIGSPATIAL/GIS
Linhan Wang, Shuo Lei, Jianfeng He, Shengkun Wang, Min Zhang, Chang-Tien Lu
2023 J jnl
Self-Correlation and Cross-Correlation Learning for Few-Shot Remote Sensing Image Semantic Segmentation.
CoRR
Linhan Wang, Shuo Lei, Jianfeng He, Shengkun Wang, Min Zhang, Chang-Tien Lu
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
2023 J jnl
Uncertainty Estimation on Sequential Labeling via Uncertainty Transmission.
CoRR
Jianfeng He, Linlin Yu, Shuo Lei, Chang-Tien Lu, Feng 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
Online and Distributed Robust Regressions with Extremely Noisy Labels.
ACM Trans. Knowl. Discov. Data
Shuo Lei, Xuchao Zhang, Liang Zhao, Arnold P. Boedihardjo, Chang-Tien Lu
2022 J jnl
Semantic inpainting on segmentation map via multi-expansion loss.
Neurocomputing
Jianfeng He, Xuchao Zhang, Shuo Lei, Shuhui Wang, Chang-Tien Lu, Bei Xiao
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 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
2021 — conf
Reducing Noise Pixels and Metric Bias in Semantic Inpainting on Segmentation Map.
ICCVW
Jianfeng He, Bei Xiao, Xuchao Zhang, Shuo Lei, Shuhui Wang, 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 — 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 J jnl
Semantic Editing On Segmentation Map Via Multi-Expansion Loss.
CoRR
Jianfeng He, Xuchao Zhang, Shuo Lei, Shuhui Wang, Qingming Huang, Chang-Tien Lu, Bei Xiao
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 J jnl
Robust Regression via Heuristic Corruption Thresholding and Its Adaptive Estimation Variation.
ACM Trans. Knowl. Discov. Data
Xuchao Zhang, Shuo Lei, Liang Zhao, Arnold P. Boedihardjo, Chang-Tien Lu
2019 J jnl
Robust Regression via Online Feature Selection under Adversarial Data Corruption.
CoRR
Xuchao Zhang, Shuo Lei, Liang Zhao, Arnold P. Boedihardjo, Chang-Tien Lu
2018 A* conf
Robust Regression via Online Feature Selection Under Adversarial Data Corruption.
ICDM
Xuchao Zhang, Shuo Lei, Liang Zhao, Arnold P. Boedihardjo, Chang-Tien Lu
2018 J jnl
T-START: Time, Status and Region Aware Taxi Mobility Model for Metropolis.
KSII Trans. Internet Inf. Syst.
Haiquan Wang, Shuo Lei, Binglin Wu, Yilin Li, Bowen Du
2017 — conf
Forecasting car rental demand based temporal and spatial travel patterns.
SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI
Shuo Lei, Haiquan Wang, Chen Yang, Bowen Du, Runxing Zhong, Runhe Huang
2017 — conf
Spatiotemporal multi-task learning for citywide passenger flow prediction.
SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI
Runxing Zhong, Weifeng Lv, Bowen Du, Shuo Lei, Runhe Huang
2016 — conf
Research on Multi-Objective Bus Route Planning Model Based on Taxi GPS Data.
CyberC
Shuo Lei, Zexi Li, Binglin Wu, Haiquan Wang
2015 J jnl
CMTG: A Content-Based Mobile Tendency Geocast Routing Protocol in Urban Vehicular Networks.
Int. J. Distributed Sens. Networks
Haiquan Wang, Tao Zhu, Shuo Lei, Wenjing Yang, Yu Wang