CMTG: A Content-Based Mobile Tendency Geocast Routing Protocol in Urban Vehicular Networks. - Haiquan Wang; Tao Zhu; Shuo Lei; Wenjing Yang; Yu Wang 003 (Int. J. Distributed Sens. Networks, 2015)

Research on Multi-Objective Bus Route Planning Model Based on Taxi GPS Data. - Shuo Lei; Zexi Li; Binglin Wu; Haiquan Wang (CyberC, 2016)

Forecasting car rental demand based temporal and spatial travel patterns. - Shuo Lei; Haiquan Wang; Chen Yang; Bowen Du 001; Runxing Zhong; Runhe Huang (SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI, 2017)

Spatiotemporal multi-task learning for citywide passenger flow prediction. - Runxing Zhong; Weifeng Lv; Bowen Du 001; Shuo Lei; Runhe Huang (SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI, 2017)

Robust Regression via Online Feature Selection Under Adversarial Data Corruption. - Xuchao Zhang; Shuo Lei; Liang Zhao 002; Arnold P. Boedihardjo; Chang-Tien Lu (ICDM, 2018)

T-START: Time, Status and Region Aware Taxi Mobility Model for Metropolis. - Haiquan Wang; Shuo Lei; Binglin Wu; Yilin Li; Bowen Du 001 (KSII Trans. Internet Inf. Syst., 2018)

Robust Regression via Heuristic Corruption Thresholding and Its Adaptive Estimation Variation. - Xuchao Zhang; Shuo Lei; Liang Zhao 002; Arnold P. Boedihardjo; Chang-Tien Lu (ACM Trans. Knowl. Discov. Data, 2019)

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 (EMNLP (1), 2020)

Graph Convolutional Networks with Kalman Filtering for Traffic Prediction. - Fanglan Chen; Zhiqian Chen; Subhodip Biswas; Shuo Lei; Naren Ramakrishnan; Chang-Tien Lu (SIGSPATIAL/GIS, 2020)

Few-Shot Semantic Segmentation Augmented with Image-Level Weak Annotations. - Shuo Lei; Xuchao Zhang; Jianfeng He; Fanglan Chen; Chang-Tien Lu (CoRR, 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)

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 (ICCVW, 2021)

Few-Shot Semantic Segmentation via Prototype Augmentation with Image-Level Annotations. - Shuo Lei; Xuchao Zhang; Jianfeng He; Fanglan Chen; Chang-Tien Lu (ICME, 2021)

Cross-Domain Few-Shot Semantic Segmentation. - Shuo Lei; Xuchao Zhang; Jianfeng He; Fanglan Chen; Bowen Du 001; Chang-Tien Lu (ECCV (30), 2022)

Uncertainty-Aware Cross-Lingual Transfer with Pseudo Partial Labels. - Shuo Lei; Xuchao Zhang; Jianfeng He; Fanglan Chen; Chang-Tien Lu (NAACL-HLT (Findings), 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)

Online and Distributed Robust Regressions with Extremely Noisy Labels. - Shuo Lei; Xuchao Zhang; Liang Zhao 002; Arnold P. Boedihardjo; Chang-Tien Lu (ACM Trans. Knowl. Discov. Data, 2022)

Exploring Tradeoffs in Automated School Redistricting: Computational and Ethical Perspectives. - Fanglan Chen; Subhodip Biswas; Zhiqian Chen; Shuo Lei; Naren Ramakrishnan; Chang-Tien Lu (AAAI, 2023)

TART: Improved Few-shot Text Classification Using Task-Adaptive Reference Transformation. - Shuo Lei; Xuchao Zhang; Jianfeng He; Fanglan Chen; Chang-Tien Lu (ACL (1), 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 (EMNLP (Findings), 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 (SIGSPATIAL/GIS, 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 (KDD, 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)

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)

Learning with Limited Labeled Data: Techniques and Applications. - Shuo Lei (2023)

Can LLM Find the Green Circle? Investigation and Human-Guided Tool Manipulation for Compositional Generalization. - Min Zhang; Jianfeng He; Shuo Lei; Murong Yue; Linhan Wang; Chang-Tien Lu (ICASSP, 2024)

Uncertainty Estimation on Sequential Labeling via Uncertainty Transmission. - Jianfeng He; Linlin Yu; Shuo Lei; Chang-Tien Lu; Feng Chen 001 (NAACL-HLT (Findings), 2024)

DC-Gaussian: Improving 3D Gaussian Splatting for Reflective Dash Cam Videos. - Linhan Wang; Kai Cheng; Shuo Lei; Shengkun Wang; Wei Yin 006; Chenyang Lei; Xiaoxiao Long; Chang-Tien Lu (NeurIPS, 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)

Self-attention-based Graph-of-Thought for Math Problem Solving. - Ruiqiao Bai; Xue Han; Shuo Lei; Junlan Feng; Yanyan Luo; Chao Deng (ACL (Findings), 2025)

Optimizing Transit Network Expansion with Gated Attentive Graph Reinforcement Learning. - Fanglan Chen; Dongjie Wang; Jianfeng He; Shuo Lei; Chang-Tien Lu (SDM, 2025)

Assessment of Google stock price movements in relation to financial market anticipations. - Shuo Lei (Intell. Decis. Technol., 2025)