Chang-Tien Lu

ORCID

Publication Activity (10 Years)

Years Active: 1998-2024
Publications (10 Years): 165

Top Venues

Publications

Min Zhang, Jianfeng He, Taoran Ji, Chang-Tien Lu
Don't Go To Extremes: Revealing the Excessive Sensitivity and Calibration Limitations of LLMs in Implicit Hate Speech Detection. CoRR (2024)
Zhiqian Chen, Fanglan Chen, Lei Zhang, Taoran Ji, Kaiqun Fu, Liang Zhao, Feng Chen, Lingfei Wu, Charu Aggarwal, Chang-Tien Lu
Bridging the Gap between Spatial and Spectral Domains: A Unified Framework for Graph Neural Networks. ACM Comput. Surv. 56 (5) (2024)
Min Zhang, Jianfeng He, Shuo Lei, Murong Yue, Linhang Wang, Chang-Tien Lu
Can LLM find the green circle? Investigation and Human-guided tool manipulation for compositional generalization. CoRR (2023)
Linhan Wang, Shuo Lei, Jianfeng He, Shengkun Wang, Min Zhang, Chang-Tien Lu
Self-Correlation and Cross-Correlation Learning for Few-Shot Remote Sensing Image Semantic Segmentation. CoRR (2023)
Jianfeng He, Xuchao Zhang, Shuo Lei, Abdulaziz Alhamadani, Fanglan Chen, Bei Xiao, Chang-Tien Lu
CLUR: Uncertainty Estimation for Few-Shot Text Classification with Contrastive Learning. KDD (2023)
Lulwah Alkulaib, Chang-Tien Lu
Balancing the Scales: HyperSMOTE for Enhanced Hypergraph Classification. BigData (2023)
Shengkun Wang, Yangxiao Bai, Kaiqun Fu, Linhan Wang, Chang-Tien Lu, Taoran Ji
ALERTA-Net: A Temporal Distance-Aware Recurrent Networks for Stock Movement and Volatility Prediction. CoRR (2023)
Yanshen Sun, Jianfeng He, Shuo Lei, Limeng Cui, Chang-Tien Lu
Med-MMHL: A Multi-Modal Dataset for Detecting Human- and LLM-Generated Misinformation in the Medical Domain. CoRR (2023)
Shengkun Wang, Yangxiao Bai, Taoran Ji, Kaiqun Fu, Linhan Wang, Chang-Tien Lu
Stock Movement and Volatility Prediction from Tweets, Macroeconomic Factors and Historical Prices. CoRR (2023)
Jianfeng He, Linlin Yu, Shuo Lei, Chang-Tien Lu, Feng Chen
Uncertainty Estimation on Sequential Labeling via Uncertainty Transmission. CoRR (2023)
Zhen Guo, Jin-Hee Cho, Chang-Tien Lu
Mitigating Influence of Disinformation Propagation Using Uncertainty-Based Opinion Interactions. IEEE Trans. Comput. Soc. Syst. 10 (2) (2023)
Jianfeng He, Syuan-Ying Wu, Abdulaziz Alhamadani, Chih-Fang Chen, Wen-Fang Lu, Chang-Tien Lu, David Solnick, Yanlin Li
MetroScope: An Advanced System for Real-Time Detection and Analysis of Metro-Related Threats and Events via Twitter. SIGIR (2023)
Linhan Wang, Shuo Lei, Jianfeng He, Shengkun Wang, Min Zhang, Chang-Tien Lu
Self-Correlation and Cross-Correlation Learning for Few-Shot Remote Sensing Image Semantic Segmentation. SIGSPATIAL/GIS (2023)
Siji Chen, Yanshen Sun, Peihan Li, Lifeng Zhou, Chang-Tien Lu
Spatial Temporal Graph Neural Networks for Decentralized Control of Robot Swarms. SIGSPATIAL/GIS (2023)
Melike Yildiz Aktas, Lulwah Alkulaib, Chang-Tien Lu
UniMHe: Unified Multi Hyperedge Prediction A Case Study on Crime Dataset. BigData (2023)
Fanglan Chen, Subhodip Biswas, Zhiqian Chen, Shuo Lei, Naren Ramakrishnan, Chang-Tien Lu
Exploring Tradeoffs in Automated School Redistricting: Computational and Ethical Perspectives. AAAI (2023)
Dongjie Wang, Chang-Tien Lu, Yanjie Fu
Towards Automated Urban Planning: When Generative and ChatGPT-like AI Meets Urban Planning. CoRR (2023)
Abdulaziz Alhamadani, Xuchao Zhang, Jianfeng He, Aadyant Khatri, Chang-Tien Lu
LANS: Large-scale Arabic News Summarization Corpus. ArabicNLP (2023)
Rocco Zhang, Shailik Sarkar, Abdulaziz Alhamadani, Chang-Tien Lu
More than Just a Diagnosis: A Multi-Task Approach to Analyzing Bipolar Disorder on Reddit via DeMHeM. BigData (2023)
Yanshen Sun, Jianger Yu, Chang-Tien Lu
LightK-DSGCN: Depression Detection in EEGs with Lightweight Kalman Filter-aided Dual-Stream Graph Convolutional Networks. BIBM (2023)
Subhodip Biswas, Fanglan Chen, Zhiqian Chen, Chang-Tien Lu, Naren Ramakrishnan
Memetic Algorithms for Spatial Partitioning Problems. ACM Trans. Spatial Algorithms Syst. 9 (1) (2023)
Siji Chen, Yanshen Sun, Peihan Li, Lifeng Zhou, Chang-Tien Lu
Learning Decentralized Flocking Controllers with Spatio-Temporal Graph Neural Network. CoRR (2023)
Yanshen Sun, Kaiqun Fu, Chang-Tien Lu
DG-Trans: Dual-level Graph Transformer for Spatiotemporal Incident Impact Prediction on Traffic Networks. CoRR (2023)
Shuo Lei, Xuchao Zhang, Jianfeng He, Fanglan Chen, Chang-Tien Lu
TART: Improved Few-shot Text Classification Using Task-Adaptive Reference Transformation. CoRR (2023)
Yanshen Sun, Kaiqun Fu, Chang-Tien Lu
RoadFormer: Road-Anchored Adversarial Dynamic Graph Transformer for Unlimited-Range Traffic Incident Impact Prediction. BigData (2023)
Shengkun Wang, Yangxiao Bai, Taoran Ji, Kaiqun Fu, Linhan Wang, Chang-Tien Lu
Stock Movement and Volatility Prediction from Tweets, Macroeconomic Factors and Historical Prices. BigData (2023)
Shuo Lei, Xuchao Zhang, Jianfeng He, Fanglan Chen, Chang-Tien Lu
TART: Improved Few-shot Text Classification Using Task-Adaptive Reference Transformation. ACL (1) (2023)
Dongjie Wang, Yanjie Fu, Kunpeng Liu, Fanglan Chen, Pengyang Wang, Chang-Tien Lu
Automated Urban Planning for Reimagining City Configuration via Adversarial Learning: Quantification, Generation, and Evaluation. ACM Trans. Spatial Algorithms Syst. 9 (1) (2023)
Lei Zhang, Qisheng Zhang, Zhiqian Chen, Yanshen Sun, Chang-Tien Lu, Liang Zhao
Infinitely Deep Graph Transformation Networks. ICDM (2023)
Sara A. Alsalamah, Shada Alsalamah, Hessah A. Alsalamah, Chang-Tien Lu
Towards a Patient-Centered Virtual Hospital Ecosystem: A Fine Grained VHealth-AC Model for Hospitals' Legacy Information Systems. DASC/PiCom/CBDCom/CyberSciTech (2022)
Jianfeng He, Xuchao Zhang, Shuo Lei, Shuhui Wang, Chang-Tien Lu, Bei Xiao
Semantic inpainting on segmentation map via multi-expansion loss. Neurocomputing 501 (2022)
Shuo Lei, Xuchao Zhang, Jianfeng He, Fanglan Chen, Chang-Tien Lu
Uncertainty-Aware Cross-Lingual Transfer with Pseudo Partial Labels. NAACL-HLT (Findings) (2022)
Shailik Sarkar, Abdulaziz Alhamadani, Chang-Tien Lu
Explainable Prediction of the Severity of COVID-19 Outbreak for US Counties. Big Data (2022)
Lei Zhang, Zhiqian Chen, Chang-Tien Lu, Liang Zhao
From "Dynamics on Graphs" to "Dynamics of Graphs": An Adaptive Echo-State Network Solution (Student Abstract). AAAI (2022)
Abdulaziz Alhamadani, Shailik Sarkar, Lulwah Alkulaib, Chang-Tien Lu
PRISTINE: Semi-supervised Deep Learning Opioid Crisis Detection on Reddit. ASONAM (2022)
Yanshen Sun, Yen-Cheng Lu, Kaiqun Fu, Fanglan Chen, Chang-Tien Lu
Detecting anomalous traffic behaviors with seasonal deep Kalman filter graph convolutional neural networks. J. King Saud Univ. Comput. Inf. Sci. 34 (8 Part A) (2022)
Abdulaziz Alhamadani, Xuchao Zhang, Jianfeng He, Chang-Tien Lu
LANS: Large-scale Arabic News Summarization Corpus. CoRR (2022)
Shuo Lei, Xuchao Zhang, Jianfeng He, Fanglan Chen, Bowen Du, Chang-Tien Lu
Cross-Domain Few-Shot Semantic Segmentation. ECCV (30) (2022)
Sara A. Alsalamah, Shada Alsalamah, Walaa N. Ismail, Hessah A. Alsalamah, Chang-Tien Lu
Building a Patient-Centered Virtual Hospital Ecosystem Using Both Access Control and CNN-Based Models. Big Data (2022)
Charles Duong, Lei Zhang, Chang-Tien Lu
HateNet: A Graph Convolutional Network Approach to Hate Speech Detection. Big Data (2022)
Shailik Sarkar, Abdulaziz Alhamadani, Lulwah Alkulaib, Chang-Tien Lu
Predicting Depression and Anxiety on Reddit: a Multi-task Learning Approach. ASONAM (2022)
Guangyu Meng, Qisheng Jiang, Kaiqun Fu, Beiyu Lin, Chang-Tien Lu, Zhqian Chen
Early Forecasting of the Impact of Traffic Accidents Using a Single Shot Observation. SDM (2022)
Lulwah Alkulaib, Lei Zhang, Yanshen Sun, Chang-Tien Lu
Twitter Bot Identification: An Anomaly Detection Approach. Big Data (2022)
Subhodip Biswas, Fanglan Chen, Zhiqian Chen, Chang-Tien Lu, Naren Ramakrishnan
Memetic algorithms for Spatial Partitioning problems. CoRR (2022)
Abdulaziz Alhamadani, Shailik Sarkar, Lulwah Alkulaib, Chang-Tien Lu
DOD-Explainer: Explainable Drug Overdose Deaths Predictor from Crime and Socioeconomic Data. Big Data (2022)
Lei Zhang, Kaiqun Fu, Taoran Ji, Chang-Tien Lu
Granger Causal Inference for Interpretable Traffic Prediction. ITSC (2022)
Guangyu Meng, Qisheng Jiang, Kaiqun Fu, Beiyu Lin, Chang-Tien Lu, Zhiqian Chen
Early Forecast of Traffic Accident Impact Based on a Single-Snapshot Observation (Student Abstract). AAAI (2022)
Liang Zhao, Yuyang Gao, Jieping Ye, Feng Chen, Yanfang Ye, Chang-Tien Lu, Naren Ramakrishnan
Spatio-Temporal Event Forecasting Using Incremental Multi-Source Feature Learning. ACM Trans. Knowl. Discov. Data 16 (2) (2022)
Zonghan Zhang, Subhodip Biswas, Fanglan Chen, Kaiqun Fu, Taoran Ji, Chang-Tien Lu, Naren Ramakrishnan, Zhiqian Chen
Blocking Influence at Collective Level with Hard Constraints (Student Abstract). AAAI (2022)
Jason Wang, Kaiqun Fu, Zhiqian Chen, Chang-Tien Lu
Augmentation of Chinese Character Representations with Compositional Graph Learning (Student Abstract). AAAI (2022)
Shuo Lei, Xuchao Zhang, Liang Zhao, Arnold P. Boedihardjo, Chang-Tien Lu
Online and Distributed Robust Regressions with Extremely Noisy Labels. ACM Trans. Knowl. Discov. Data 16 (3) (2022)
Subhodip Biswas, Fanglan Chen, Zhiqian Chen, Chang-Tien Lu, Naren Ramakrishnan
Sampling-based techniques for designing school boundaries. CoRR (2022)
Lulwah Alkulaib, Abdulaziz Alhamadani, Shailik Sarkar, Chang-Tien Lu
HyperTwitter: A Hypergraph-based Approach to Identify Influential Twitter Users and Tweets. Big Data (2022)
Padmaksha Roy, Shailik Sarkar, Subhodip Biswas, Fanglan Chen, Zhiqian Chen, Naren Ramakrishnan, Chang-Tien Lu
Deep diffusion-based forecasting of COVID-19 by incorporating network-level mobility information. ASONAM (2021)
Shuo Lei, Xuchao Zhang, Jianfeng He, Fanglan Chen, Chang-Tien Lu
Few-Shot Semantic Segmentation via Prototype Augmentation with Image-Level Annotations. ICME (2021)
Padmaksha Roy, Shailik Sarkar, Subhodip Biswas, Fanglan Chen, Zhiqian Chen, Naren Ramakrishnan, Chang-Tien Lu
Deep diffusion-based forecasting of COVID-19 by incorporating network-level mobility information. CoRR (2021)
Jianfeng He, Bei Xiao, Xuchao Zhang, Shuo Lei, Shuhui Wang, Chang-Tien Lu
Reducing Noise Pixels and Metric Bias in Semantic Inpainting on Segmentation Map. ICCVW (2021)
Zhiqian Chen, Fanglan Chen, Lei Zhang, Taoran Ji, Kaiqun Fu, Liang Zhao, Feng Chen, Lingfei Wu, Charu C. Aggarwal, Chang-Tien Lu
Bridging the Gap between Spatial and Spectral Domains: A Theoretical Framework for Graph Neural Networks. CoRR (2021)
Dongjie Wang, Kunpeng Liu, David Mohaisen, Pengyang Wang, Chang-Tien Lu, Yanjie Fu
Automated Feature-Topic Pairing: Aligning Semantic and Embedding Spaces in Spatial Representation Learning. SIGSPATIAL/GIS (2021)
Dongjie Wang, Kunpeng Liu, David Mohaisen, Pengyang Wang, Chang-Tien Lu, Yanjie Fu
Towards Semantically-Rich Spatial Network Representation Learning via Automated Feature Topic Pairing. Frontiers Big Data 4 (2021)
Dongjie Wang, Kunpeng Liu, David Mohaisen, Pengyang Wang, Chang-Tien Lu, Yanjie Fu
Automated Feature-Topic Pairing: Aligning Semantic and Embedding Spaces in Spatial Representation Learning. CoRR (2021)
Dongjie Wang, Yanjie Fu, Kunpeng Liu, Fanglan Chen, Pengyang Wang, Chang-Tien Lu
Automated Urban Planning for Reimagining City Configuration via Adversarial Learning: Quantification, Generation, and Evaluation. CoRR (2021)
Manu Shukla, Dinesh Dharme, Pallavi Ramnarain, Ray Dos Santos, Chang-Tien Lu
DIGDUG: Scalable Separable Dense Graph Pruning and Join Operations in MapReduce. IEEE Trans. Big Data 7 (6) (2021)
Taoran Ji, Nathan Self, Kaiqun Fu, Zhiqian Chen, Naren Ramakrishnan, Chang-Tien Lu
Dynamic Multi-Context Attention Networks for Citation Forecasting of Scientific Publications. AAAI (2021)
Abdulaziz Alhamadani, Shailik Sarkar, Lei Zhang, Lulwah Alkulaib, Chang-Tien Lu
Forecasting High-risk Areas of COVID-19 Infection Through Socioeconomic and Static Spatial Analysis. IEEE BigData (2021)
Zhiqian Chen, Lei Zhang, Gaurav Kolhe, Hadi Mardani Kamali, Setareh Rafatirad, Sai Manoj Pudukotai Dinakarrao, Houman Homayoun, Chang-Tien Lu, Liang Zhao
Deep Graph Learning for Circuit Deobfuscation. Frontiers Big Data 4 (2021)
Kaiqun Fu, Taoran Ji, Nathan Self, Zhiqian Chen, Chang-Tien Lu
A Hierarchical Attention Graph Convolutional Network for Traffic Incident Impact Forecasting. IEEE BigData (2021)
Omer Zulfiqar, Yi-Chun Chang, Po-Han Chen, Kaiqun Fu, Chang-Tien Lu, David Solnick, Yanlin Li
RISECURE: Metro Incidents And Threat Detection Using Social Media. ASONAM (2020)
Chang-Tien Lu, Fusheng Wang, Goce Trajcevski, Yan Huang, Shawn D. Newsam, Li Xiong
The 28th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (ACM SIGSPATIAL 2020): virtual, online, USA November 3-6, 2020: conference report. ACM SIGSPATIAL Special 12 (3) (2020)
Zhiqian Chen, Gaurav Kolhe, Setareh Rafatirad, Chang-Tien Lu, Sai Manoj P. D., Houman Homayoun, Liang Zhao
Estimating the Circuit De-obfuscation Runtime based on Graph Deep Learning. DATE (2020)
Ting Hua, Chang-Tien Lu, Jaegul Choo, Chandan K. Reddy
Probabilistic Topic Modeling for Comparative Analysis of Document Collections. ACM Trans. Knowl. Discov. Data 14 (2) (2020)
Xuchao Zhang, Yifeng Gao, Jessica Lin, Chang-Tien Lu
TapNet: Multivariate Time Series Classification with Attentional Prototypical Network. AAAI (2020)
Jianfeng He, Xuchao Zhang, Shuo Lei, Zhiqian Chen, Fanglan Chen, Abdulaziz Alhamadani, Bei Xiao, Chang-Tien Lu
Towards More Accurate Uncertainty Estimation In Text Classification. EMNLP (1) (2020)
Jianfeng He, Xuchao Zhang, Shuo Lei, Shuhui Wang, Qingming Huang, Chang-Tien Lu, Bei Xiao
Semantic Editing On Segmentation Map Via Multi-Expansion Loss. CoRR (2020)
Liang Zhao, Jiangzhuo Chen, Feng Chen, Fang Jin, Wei Wang, Chang-Tien Lu, Naren Ramakrishnan
Online flu epidemiological deep modeling on disease contact network. GeoInformatica 24 (2) (2020)
Jason Wang, Kaiqun Fu, Chang-Tien Lu
SOSNet: A Graph Convolutional Network Approach to Fine-Grained Cyberbullying Detection. IEEE BigData (2020)
Sina Dabiri, Chang-Tien Lu, Kevin Heaslip, Chandan K. Reddy
Semi-Supervised Deep Learning Approach for Transportation Mode Identification Using GPS Trajectory Data. IEEE Trans. Knowl. Data Eng. 32 (5) (2020)
Subhodip Biswas, Fanglan Chen, Andreea Sistrunk, Sathappan Muthiah, Zhiqian Chen, Nathan Self, Chang-Tien Lu, Naren Ramakrishnan
Geospatial Clustering for Balanced and Proximal Schools. AAAI (2020)
Shuo Lei, Xuchao Zhang, Jianfeng He, Fanglan Chen, Chang-Tien Lu
Few-Shot Semantic Segmentation Augmented with Image-Level Weak Annotations. CoRR (2020)
Xuchao Zhang, Xian Wu, Fanglan Chen, Liang Zhao, Chang-Tien Lu
Self-Paced Robust Learning for Leveraging Clean Labels in Noisy Data. AAAI (2020)
Dongjie Wang, Yanjie Fu, Pengyang Wang, Bo Huang, Chang-Tien Lu
Reimagining City Configuration: Automated Urban Planning via Adversarial Learning. CoRR (2020)
Subhodip Biswas, Fanglan Chen, Zhiqian Chen, Chang-Tien Lu, Naren Ramakrishnan
Incorporating domain knowledge into Memetic Algorithms for solving Spatial Optimization problems. SIGSPATIAL/GIS (2020)
Fanglan Chen, Zhiqian Chen, Subhodip Biswas, Shuo Lei, Naren Ramakrishnan, Chang-Tien Lu
Graph Convolutional Networks with Kalman Filtering for Traffic Prediction. SIGSPATIAL/GIS (2020)
Ruizhi Wu, Guangchun Luo, Qi Jin, Junming Shao, Chang-Tien Lu
Learning evolving user's behaviors on location-based social networks. GeoInformatica 24 (3) (2020)
Zhiqian Chen, Fanglan Chen, Lei Zhang, Taoran Ji, Kaiqun Fu, Liang Zhao, Feng Chen, Chang-Tien Lu
Bridging the Gap between Spatial and Spectral Domains: A Survey on Graph Neural Networks. CoRR (2020)
Dongjie Wang, Yanjie Fu, Pengyang Wang, Bo Huang, Chang-Tien Lu
Reimagining City Configuration: Automated Urban Planning via Adversarial Learning. SIGSPATIAL/GIS (2020)
Xuchao Zhang, Shuo Lei, Liang Zhao, Arnold P. Boedihardjo, Chang-Tien Lu
Robust Regression via Heuristic Corruption Thresholding and Its Adaptive Estimation Variation. ACM Trans. Knowl. Discov. Data 13 (3) (2019)
Xuchao Zhang, Fanglan Chen, Chang-Tien Lu, Naren Ramakrishnan
Mitigating Uncertainty in Document Classification. CoRR (2019)
Yue Ning, Liang Zhao, Feng Chen, Chang-Tien Lu, Huzefa Rangwala
Spatio-temporal Event Forecasting and Precursor Identification. KDD (2019)
Taoran Ji, Zhiqian Chen, Nathan Self, Kaiqun Fu, Chang-Tien Lu, Naren Ramakrishnan
Patent Citation Dynamics Modeling via Multi-Attention Recurrent Networks. IJCAI (2019)
Taoran Ji, Xuchao Zhang, Nathan Self, Kaiqun Fu, Chang-Tien Lu, Naren Ramakrishnan
Feature driven learning framework for cybersecurity event detection. ASONAM (2019)
Zhiqian Chen, Gaurav Kolhe, Setareh Rafatirad, Sai Manoj P. D., Houman Homayoun, Liang Zhao, Chang-Tien Lu
Estimating the Circuit Deobfuscating Runtime based on Graph Deep Learning. CoRR (2019)
Kaiqun Fu, Taoran Ji, Liang Zhao, Chang-Tien Lu
TITAN: A Spatiotemporal Feature Learning Framework for Traffic Incident Duration Prediction. SIGSPATIAL/GIS (2019)
Xuchao Zhang, Shuo Lei, Liang Zhao, Arnold P. Boedihardjo, Chang-Tien Lu
Robust Regression via Online Feature Selection under Adversarial Data Corruption. CoRR (2019)
Xuchao Zhang, Dheeraj Rajagopal, Michael Gamon, Sujay Kumar Jauhar, Chang-Tien Lu
Modeling the Relationship between User Comments and Edits in Document Revision. EMNLP/IJCNLP (1) (2019)
Kaiqun Fu, Abdulaziz Alhamadani, Taoran Ji, Chang-Tien Lu
Batman or the joker?: the powerful urban computing and its ethics issues. ACM SIGSPATIAL Special 11 (2) (2019)
Subhodip Biswas, Fanglan Chen, Zhiqian Chen, Andreea Sistrunk, Nathan Self, Chang-Tien Lu, Naren Ramakrishnan
REGAL: A Regionalization framework for school boundaries. SIGSPATIAL/GIS (2019)
Xuchao Zhang, Fanglan Chen, Chang-Tien Lu, Naren Ramakrishnan
Mitigating Uncertainty in Document Classification. NAACL-HLT (1) (2019)
Yan Shi, Min Deng, Jianya Gong, Chang-Tien Lu, Xuexi Yang, Huimin Liu
Detection of clusters in traffic networks based on spatio-temporal flow modeling. Trans. GIS 23 (2) (2019)
Kaiqun Fu, Taoran Ji, Liang Zhao, Chang-Tien Lu
TITAN: A Spatiotemporal Feature Learning Framework for Traffic Incident Duration Prediction. CoRR (2019)

Chang-Tien Lu.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Chang-Tien Lu