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ORCIDChang-Tien Lu
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- affiliation: Virginia Tech, Falls Church, VA, USA
- affiliation (PhD 2001): University of Minnesota, Minneapolis, MN, USA
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2020 – today
- 2024
[j61]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): 126:1-126:42 (2024)- [j60]Taoran Ji, Nathan Self, Kaiqun Fu, Zhiqian Chen, Naren Ramakrishnan, Chang-Tien Lu:
Citation Forecasting with Multi-Context Attention-Aided Dependency Modeling. ACM Trans. Knowl. Discov. Data 18(6): 144:1-144:23 (2024) - [c155]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. ACL (1) 2024: 12073-12086 - [c154]Mariam Almutairi, Lulwah Alkulaib, Shengkun Wang, Zhiqian Chen, Youssif ALMutairi, Thamer M. Alenazi, Kurt Luther, Chang-Tien Lu:
FHIRViz: Multi-Agent Platform for FHIR Visualization to Advance Healthcare Analytics. BCB 2024: 38:1-38:7 - [c153]Mohammad Beigi, Ying Shen, Runing Yang, Zihao Lin, Qifan Wang, Ankith Mohan, Jianfeng He, Ming Jin, Chang-Tien Lu, Lifu Huang:
InternalInspector I²: Robust Confidence Estimation in LLMs through Internal States. EMNLP (Findings) 2024: 12847-12865 - [c152]Jianfeng He, Runing Yang, Linlin Yu, Changbin Li, Ruoxi Jia, Feng Chen, Ming Jin, Chang-Tien Lu:
Can We Trust the Performance Evaluation of Uncertainty Estimation Methods in Text Summarization? EMNLP 2024: 16514-16575 - [c151]Min Zhang, Jianfeng He, Shuo Lei, Murong Yue, Linhan Wang, Chang-Tien Lu:
Can LLM Find the Green Circle? Investigation and Human-Guided Tool Manipulation for Compositional Generalization. ICASSP 2024: 11996-12000 - [c150]Siji Chen, Yanshen Sun, Peihan Li, Lifeng Zhou, Chang-Tien Lu:
Learning Decentralized Flocking Controllers with Spatio-Temporal Graph Neural Network. ICRA 2024: 2596-2602 - [c149]Shengkun Wang, Taoran Ji, Jianfeng He, Mariam Almutairi, Dan Wang, Linhan Wang, Min Zhang, Chang-Tien Lu:
AMA-LSTM: Pioneering Robust and Fair Financial Audio Analysis for Stock Volatility Prediction. NAACL (Industry Track) 2024: 379-386 - [c148]Jianfeng He, Linlin Yu, Shuo Lei, Chang-Tien Lu, Feng Chen:
Uncertainty Estimation on Sequential Labeling via Uncertainty Transmission. NAACL-HLT (Findings) 2024: 2823-2835 - [c147]Rui Shang, Siji Chen, Zhiqian Chen, Chang-Tien Lu:
GraphNILM: A Graph Neural Network for Energy Disaggregation. PAKDD (2) 2024: 431-443 - [c146]Mariam Almutairi, Lulwah Alkulaib, Melike Yildiz Aktas, Sara A. Alsalamah, Chang-Tien Lu:
Synthetic Arabic Medical Dialogues Using Advanced Multi-Agent LLM Techniques. ArabicNLP 2024: 11-26 - [i47]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 abs/2402.11406 (2024) - [i46]Yanshen Sun, Jianfeng He, Limeng Cui, Shuo Lei, Chang-Tien Lu:
Exploring the Deceptive Power of LLM-Generated Fake News: A Study of Real-World Detection Challenges. CoRR abs/2403.18249 (2024) - [i45]Zaitian Wang, Pengfei Wang, Kunpeng Liu, Pengyang Wang, Yanjie Fu, Chang-Tien Lu, Charu C. Aggarwal, Jian Pei, Yuanchun Zhou:
A Comprehensive Survey on Data Augmentation. CoRR abs/2405.09591 (2024) - [i44]Lei Zhang, Zhiqian Chen, Chang-Tien Lu, Liang Zhao:
Network Interdiction Goes Neural. CoRR abs/2405.16409 (2024) - [i43]Linhan Wang, Kai Cheng, Shuo Lei, Shengkun Wang, Wei Yin, Chenyang Lei, Xiaoxiao Long, Chang-Tien Lu:
DC-Gaussian: Improving 3D Gaussian Splatting for Reflective Dash Cam Videos. CoRR abs/2405.17705 (2024) - [i42]Mohammad Beigi, Ying Shen, Runing Yang, Zihao Lin, Qifan Wang, Ankith Mohan, Jianfeng He, Ming Jin, Chang-Tien Lu, Lifu Huang:
InternalInspector I2: Robust Confidence Estimation in LLMs through Internal States. CoRR abs/2406.12053 (2024) - [i41]Jianfeng He, Runing Yang, Linlin Yu, Changbin Li, Ruoxi Jia, Feng Chen, Ming Jin, Chang-Tien Lu:
Can We Trust the Performance Evaluation of Uncertainty Estimation Methods in Text Summarization? CoRR abs/2406.17274 (2024) - [i40]Shengkun Wang, Taoran Ji, Jianfeng He, Mariam Almutairi, Dan Wang, Linhan Wang, Min Zhang, Chang-Tien Lu:
AMA-LSTM: Pioneering Robust and Fair Financial Audio Analysis for Stock Volatility Prediction. CoRR abs/2407.18324 (2024) - [i39]Shengkun Wang, Taoran Ji, Linhan Wang, Yanshen Sun, Shang-Ching Liu, Amit Kumar, Chang-Tien Lu:
StockTime: A Time Series Specialized Large Language Model Architecture for Stock Price Prediction. CoRR abs/2409.08281 (2024) - [i38]Mohammad Beigi, Sijia Wang, Ying Shen, Zihao Lin, Adithya Kulkarni, Jianfeng He, Feng Chen, Ming Jin, Jin-Hee Cho, Dawei Zhou, Chang-Tien Lu, Lifu Huang:
Rethinking the Uncertainty: A Critical Review and Analysis in the Era of Large Language Models. CoRR abs/2410.20199 (2024) - [i37]Chen-Wei Chang, Shailik Sarkar, Shutonu Mitra, Qi Zhang, Hossein Salemi, Hemant Purohit, Fengxiu Zhang, Michin Hong, Jin-Hee Cho, Chang-Tien Lu:
Exposing LLM Vulnerabilities: Adversarial Scam Detection and Performance. CoRR abs/2412.00621 (2024) - 2023
- [j59]Lei Zhang, Zhiqian Chen, Chang-Tien Lu, Liang Zhao:
Fast and adaptive dynamics-on-graphs to dynamics-of-graphs translation. Frontiers Big Data 6 (2023) - [j58]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): 435-447 (2023) - [j57]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): 2:1-2:24 (2023) - [j56]Subhodip Biswas, Fanglan Chen, Zhiqian Chen, Chang-Tien Lu, Naren Ramakrishnan:
Memetic Algorithms for Spatial Partitioning Problems. ACM Trans. Spatial Algorithms Syst. 9(1): 5:1-5:31 (2023) - [c145]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: 15912-15920 - [c144]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: 11014-11026 - [c143]Abdulaziz Alhamadani, Khadija Althubiti, Shailik Sarkar, Jianfeng He, Lulwah Alkulaib, Srishti Behal, Mahmood Khan, Chang-Tien Lu:
From Guest to Family: An Innovative Framework for Enhancing Memorable Experiences in the Hotel Industry. ASONAM 2023: 492-501 - [c142]Lulwah Alkulaib, Abdulaziz Alhamadani, Shailik Sarkar, Chang-Tien Lu:
Hypergraph Text Classification for Mental Health Misleading Advice. ASONAM 2023: 522-529 - [c141]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. ASONAM 2023: 538-542 - [c140]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: 1429-1436 - [c139]Yanshen Sun, Kaiqun Fu, Chang-Tien Lu:
RoadFormer: Road-Anchored Adversarial Dynamic Graph Transformer for Unlimited-Range Traffic Incident Impact Prediction. IEEE Big Data 2023: 895-904 - [c138]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. IEEE Big Data 2023: 1863-1872 - [c137]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. IEEE Big Data 2023: 5014-5023 - [c136]Melike Yildiz Aktas, Lulwah Alkulaib, Chang-Tien Lu:
UniMHe: Unified Multi Hyperedge Prediction A Case Study on Crime Dataset. IEEE Big Data 2023: 5134-5139 - [c135]Lulwah Alkulaib, Chang-Tien Lu:
Balancing the Scales: HyperSMOTE for Enhanced Hypergraph Classification. IEEE Big Data 2023: 5140-5145 - [c134]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: 25:1-25:10 - [c133]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: 80:1-80:4 - [c132]Lei Zhang, Qisheng Zhang, Zhiqian Chen, Yanshen Sun, Chang-Tien Lu, Liang Zhao:
Infinitely Deep Graph Transformation Networks. ICDM 2023: 778-787 - [c131]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: 698-710 - [c130]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: 3130-3134 - [c129]Abdulaziz Alhamadani, Xuchao Zhang, Jianfeng He, Aadyant Khatri, Chang-Tien Lu:
LANS: Large-scale Arabic News Summarization Corpus. ArabicNLP 2023: 89-100 - [i36]Yanshen Sun, Kaiqun Fu, Chang-Tien Lu:
DG-Trans: Dual-level Graph Transformer for Spatiotemporal Incident Impact Prediction on Traffic Networks. CoRR abs/2303.12238 (2023) - [i35]Dongjie Wang, Chang-Tien Lu, Yanjie Fu:
Towards Automated Urban Planning: When Generative and ChatGPT-like AI Meets Urban Planning. CoRR abs/2304.03892 (2023) - [i34]Shuo Lei, Xuchao Zhang, Jianfeng He, Fanglan Chen, Chang-Tien Lu:
TART: Improved Few-shot Text Classification Using Task-Adaptive Reference Transformation. CoRR abs/2306.02175 (2023) - [i33]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 abs/2306.08871 (2023) - [i32]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 abs/2309.05840 (2023) - [i31]Siji Chen, Yanshen Sun, Peihan Li, Lifeng Zhou, Chang-Tien Lu:
Learning Decentralized Flocking Controllers with Spatio-Temporal Graph Neural Network. CoRR abs/2309.17437 (2023) - [i30]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 abs/2310.18706 (2023) - [i29]Jianfeng He, Linlin Yu, Shuo Lei, Chang-Tien Lu, Feng Chen:
Uncertainty Estimation on Sequential Labeling via Uncertainty Transmission. CoRR abs/2311.08726 (2023) - [i28]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 abs/2312.03758 (2023) - [i27]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 abs/2312.07763 (2023) - 2022
- [j55]Jianfeng He, Xuchao Zhang, Shuo Lei, Shuhui Wang, Chang-Tien Lu, Bei Xiao:
Semantic inpainting on segmentation map via multi-expansion loss. Neurocomputing 501: 306-317 (2022) - [j54]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): 4729-4742 (2022) - [j53]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): 40:1-40:28 (2022) - [j52]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): 41:1-41:24 (2022) - [c128]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: 13015-13016 - [c127]Jason Wang, Kaiqun Fu, Zhiqian Chen, Chang-Tien Lu:
Augmentation of Chinese Character Representations with Compositional Graph Learning (Student Abstract). AAAI 2022: 13075-13076 - [c126]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: 13111-13112 - [c125]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: 13115-13116 - [c124]Shailik Sarkar, Abdulaziz Alhamadani, Lulwah Alkulaib, Chang-Tien Lu:
Predicting Depression and Anxiety on Reddit: a Multi-task Learning Approach. ASONAM 2022: 427-435 - [c123]Abdulaziz Alhamadani, Shailik Sarkar, Lulwah Alkulaib, Chang-Tien Lu:
PRISTINE: Semi-supervised Deep Learning Opioid Crisis Detection on Reddit. ASONAM 2022: 444-453 - [c122]Lulwah Alkulaib, Abdulaziz Alhamadani, Shailik Sarkar, Chang-Tien Lu:
HyperTwitter: A Hypergraph-based Approach to Identify Influential Twitter Users and Tweets. IEEE Big Data 2022: 693-700 - [c121]Lulwah Alkulaib, Lei Zhang, Yanshen Sun, Chang-Tien Lu:
Twitter Bot Identification: An Anomaly Detection Approach. IEEE Big Data 2022: 3577-3585 - [c120]Abdulaziz Alhamadani, Shailik Sarkar, Lulwah Alkulaib, Chang-Tien Lu:
DOD-Explainer: Explainable Drug Overdose Deaths Predictor from Crime and Socioeconomic Data. IEEE Big Data 2022: 5163-5172 - [c119]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. IEEE Big Data 2022: 5200-5209 - [c118]Shailik Sarkar, Abdulaziz Alhamadani, Chang-Tien Lu:
Explainable Prediction of the Severity of COVID-19 Outbreak for US Counties. IEEE Big Data 2022: 5338-5345 - [c117]Charles Duong, Lei Zhang, Chang-Tien Lu:
HateNet: A Graph Convolutional Network Approach to Hate Speech Detection. IEEE Big Data 2022: 5698-5707 - [c116]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: 1-8 - [c115]Shuo Lei, Xuchao Zhang, Jianfeng He, Fanglan Chen, Bowen Du, Chang-Tien Lu:
Cross-Domain Few-Shot Semantic Segmentation. ECCV (30) 2022: 73-90 - [c114]Lei Zhang, Kaiqun Fu, Taoran Ji, Chang-Tien Lu:
Granger Causal Inference for Interpretable Traffic Prediction. ITSC 2022: 1645-1651 - [c113]Shuo Lei, Xuchao Zhang, Jianfeng He, Fanglan Chen, Chang-Tien Lu:
Uncertainty-Aware Cross-Lingual Transfer with Pseudo Partial Labels. NAACL-HLT (Findings) 2022: 1987-1997 - [c112]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: 100-108 - [i26]Subhodip Biswas, Fanglan Chen, Zhiqian Chen, Chang-Tien Lu, Naren Ramakrishnan:
Sampling-based techniques for designing school boundaries. CoRR abs/2206.03703 (2022) - [i25]Subhodip Biswas, Fanglan Chen, Zhiqian Chen, Chang-Tien Lu, Naren Ramakrishnan:
Memetic algorithms for Spatial Partitioning problems. CoRR abs/2208.02867 (2022) - [i24]Abdulaziz Alhamadani, Xuchao Zhang, Jianfeng He, Chang-Tien Lu:
LANS: Large-scale Arabic News Summarization Corpus. CoRR abs/2210.13600 (2022) - 2021
- [j51]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: 608286 (2021) - [j50]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: 762899 (2021) - [j49]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): 930-951 (2021) - [c111]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: 7953-7960 - [c110]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: 168-175 - [c109]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: 1619-1624 - [c108]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: 4313-4322 - [c107]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: 450-453 - [c106]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: 1876-1885 - [c105]Shuo Lei, Xuchao Zhang, Jianfeng He, Fanglan Chen, Chang-Tien Lu:
Few-Shot Semantic Segmentation via Prototype Augmentation with Image-Level Annotations. ICME 2021: 1-6 - [e4]Xiaofeng Meng, Fusheng Wang, Chang-Tien Lu, Yan Huang, Shashi Shekhar, Xing Xie:
SIGSPATIAL '21: 29th International Conference on Advances in Geographic Information Systems, Virtual Event / Beijing, China, November 2-5, 2021. ACM 2021, ISBN 978-1-4503-8664-7 [contents] - [d1]Jason Wang, Kaiqun Fu, Chang-Tien Lu:
Fine-Grained Balanced Cyberbullying Dataset. IEEE DataPort, 2021
- [i23]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 abs/2107.10234 (2021) - [i22]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 abs/2109.11053 (2021) - [i21]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 abs/2111.05199 (2021) - [i20]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 abs/2112.14699 (2021) - 2020
- [j48]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): 443-475 (2020) - [j47]Ruizhi Wu, Guangchun Luo, Qi Jin, Junming Shao, Chang-Tien Lu:
Learning evolving user's behaviors on location-based social networks. GeoInformatica 24(3): 713-743 (2020) - [j46]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): 3-6 (2020) - [j45]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): 24:1-24:27 (2020) - [j44]Sina Dabiri, Chang-Tien Lu, Kevin P. Heaslip, Chandan K. Reddy:
Semi-Supervised Deep Learning Approach for Transportation Mode Identification Using GPS Trajectory Data. IEEE Trans. Knowl. Data Eng. 32(5): 1010-1023 (2020) - [c104]Xuchao Zhang, Yifeng Gao, Jessica Lin, Chang-Tien Lu:
TapNet: Multivariate Time Series Classification with Attentional Prototypical Network. AAAI 2020: 6845-6852 - [c103]Xuchao Zhang, Xian Wu, Fanglan Chen, Liang Zhao, Chang-Tien Lu:
Self-Paced Robust Learning for Leveraging Clean Labels in Noisy Data. AAAI 2020: 6853-6860 - [c102]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: 13358-13365 - [c101]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: 531-535 - [c100]Jason Wang, Kaiqun Fu, Chang-Tien Lu:
SOSNet: A Graph Convolutional Network Approach to Fine-Grained Cyberbullying Detection. IEEE BigData 2020: 1699-1708 - [c99]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: 358-363 - [c98]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: 8362-8372 - [c97]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: 25-35 - [c96]Fanglan Chen, Zhiqian Chen, Subhodip Biswas, Shuo Lei, Naren Ramakrishnan, Chang-Tien Lu