Chang-Tien Lu
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
91
Venues
26
Active years
1998–2026
Best venue rank
A*
Where they publish
- A*AAAI14 papers
- A*ICDM12 papers
- A*KDD12 papers
- ASDM7 papers
- A*IJCAI6 papers
- A*EMNLP4 papers
- ANAACL4 papers
- ACIKM4 papers
- NationalIRI4 papers
- BICTAI3 papers
- A*ACL2 papers
- A*SIGIR2 papers
- CICMLA2 papers
- BMDM2 papers
- A*ICDE2 papers
- MulticonferenceICASSP1 paper
- A*ICRA1 paper
- BPAKDD1 paper
- CDASC1 paper
- A*ECCV1 paper
- ADATE1 paper
- A*INFOCOM1 paper
- BSMC1 paper
- BCOMPSAC1 paper
- NationalICIG1 paper
- BSRDS1 paper
Papers
91 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | AAAI | Optimizing Product Provenance Verification Using Data Valuation Methods. | Raquib Bin Yousuf, Hoang Anh Just, Shengzhe Xu, Brian Mayer, Victor Deklerck, Jakub Truszkowski, John Simeone, Jade Saunders, Chang-Tien Lu, Ruoxi Jia, Naren Ramakrishnan |
| 2026 | AAAI | Collaborative LLM Numerical Reasoning with Local Data Protection. | Min Zhang, Yuzhe Lu, Yun Zhou, Panpan Xu, Lin Lee Cheong, Chang-Tien Lu, Haozhu Wang |
| 2025 | ICDM | QoLScope: Efficient Visual Exploration of Housing-Centric Quality of Life. | Guann-Luen Chen, Li-Chieh Kung, Fanglan Chen, Chang-Tien Lu |
| 2025 | KDD | Network Interdiction Goes Neural. | Lei Zhang, Zhiqian Chen, Chang-Tien Lu, Liang Zhao |
| 2025 | KDD | Chasing the Timber Trail: Machine Learning to Reveal Harvest Location Misrepresentation. | Shailik Sarkar, Raquib Bin Yousuf, Linhan Wang, Brian Mayer, Thomas Mortier, Victor Deklerck, Jakub Truszkowski, John Simeone, Marigold Norman, Jade Saunders, Chang-Tien Lu, Naren Ramakrishnan |
| 2025 | SDM | Optimizing Transit Network Expansion with Gated Attentive Graph Reinforcement Learning. | Fanglan Chen, Dongjie Wang, Jianfeng He, Shuo Lei, Chang-Tien Lu |
| 2024 | ACL | Don't Go To Extremes: Revealing the Excessive Sensitivity and Calibration Limitations of LLMs in Implicit Hate Speech Detection. | Min Zhang, Jianfeng He, Taoran Ji, Chang-Tien Lu |
| 2024 | EMNLP | InternalInspector I²: Robust Confidence Estimation in LLMs through Internal States. | Mohammad Beigi, Ying Shen, Runing Yang, Zihao Lin, Qifan Wang, Ankith Mohan, Jianfeng He, Ming Jin, Chang-Tien Lu, Lifu Huang |
| 2024 | EMNLP | Can We Trust the Performance Evaluation of Uncertainty Estimation Methods in Text Summarization? | Jianfeng He, Runing Yang, Linlin Yu, Changbin Li, Ruoxi Jia, Feng Chen, Ming Jin, Chang-Tien Lu |
| 2024 | ICASSP | 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 |
| 2024 | ICRA | Learning Decentralized Flocking Controllers with Spatio-Temporal Graph Neural Network. | Siji Chen, Yanshen Sun, Peihan Li, Lifeng Zhou, Chang-Tien Lu |
| 2024 | NAACL | Uncertainty Estimation on Sequential Labeling via Uncertainty Transmission. | Jianfeng He, Linlin Yu, Shuo Lei, Chang-Tien Lu, Feng Chen |
| 2024 | NAACL | AMA-LSTM: Pioneering Robust and Fair Financial Audio Analysis for Stock Volatility Prediction. | Shengkun Wang, Taoran Ji, Jianfeng He, Mariam Almutairi, Dan Wang, Linhan Wang, Min Zhang, Chang-Tien Lu |
| 2024 | PAKDD | GraphNILM: A Graph Neural Network for Energy Disaggregation. | Rui Shang, Siji Chen, Zhiqian Chen, Chang-Tien Lu |
| 2023 | AAAI | Exploring Tradeoffs in Automated School Redistricting: Computational and Ethical Perspectives. | Fanglan Chen, Subhodip Biswas, Zhiqian Chen, Shuo Lei, Naren Ramakrishnan, Chang-Tien Lu |
| 2023 | ACL | TART: Improved Few-shot Text Classification Using Task-Adaptive Reference Transformation. | Shuo Lei, Xuchao Zhang, Jianfeng He, Fanglan Chen, Chang-Tien Lu |
| 2023 | ICDM | Infinitely Deep Graph Transformation Networks. | Lei Zhang, Qisheng Zhang, Zhiqian Chen, Yanshen Sun, Chang-Tien Lu, Liang Zhao |
| 2023 | KDD | 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 |
| 2023 | SIGIR | MetroScope: An Advanced System for Real-Time Detection and Analysis of Metro-Related Threats and Events via Twitter. | Jianfeng He, Syuan-Ying Wu, Abdulaziz Alhamadani, Chih-Fang Chen, Wen-Fang Lu, Chang-Tien Lu, David Solnick, Yanlin Li |
| 2022 | AAAI | Early Forecast of Traffic Accident Impact Based on a Single-Snapshot Observation (Student Abstract). | Guangyu Meng, Qisheng Jiang, Kaiqun Fu, Beiyu Lin, Chang-Tien Lu, Zhiqian Chen |
| 2022 | AAAI | Augmentation of Chinese Character Representations with Compositional Graph Learning (Student Abstract). | Jason Wang, Kaiqun Fu, Zhiqian Chen, Chang-Tien Lu |
| 2022 | AAAI | Blocking Influence at Collective Level with Hard Constraints (Student Abstract). | Zonghan Zhang, Subhodip Biswas, Fanglan Chen, Kaiqun Fu, Taoran Ji, Chang-Tien Lu, Naren Ramakrishnan, Zhiqian Chen |
| 2022 | AAAI | From "Dynamics on Graphs" to "Dynamics of Graphs": An Adaptive Echo-State Network Solution (Student Abstract). | Lei Zhang, Zhiqian Chen, Chang-Tien Lu, Liang Zhao |
| 2022 | DASC | Towards a Patient-Centered Virtual Hospital Ecosystem: A Fine Grained VHealth-AC Model for Hospitals' Legacy Information Systems. | Sara A. Alsalamah, Shada Alsalamah, Hessah A. Alsalamah, Chang-Tien Lu |
| 2022 | ECCV | Cross-Domain Few-Shot Semantic Segmentation. | Shuo Lei, Xuchao Zhang, Jianfeng He, Fanglan Chen, Bowen Du, Chang-Tien Lu |
| 2022 | NAACL | Uncertainty-Aware Cross-Lingual Transfer with Pseudo Partial Labels. | Shuo Lei, Xuchao Zhang, Jianfeng He, Fanglan Chen, Chang-Tien Lu |
| 2022 | SDM | Early Forecasting of the Impact of Traffic Accidents Using a Single Shot Observation. | Guangyu Meng, Qisheng Jiang, Kaiqun Fu, Beiyu Lin, Chang-Tien Lu, Zhqian Chen |
| 2021 | AAAI | Dynamic Multi-Context Attention Networks for Citation Forecasting of Scientific Publications. | Taoran Ji, Nathan Self, Kaiqun Fu, Zhiqian Chen, Naren Ramakrishnan, Chang-Tien Lu |
| 2020 | AAAI | Geospatial Clustering for Balanced and Proximal Schools. | Subhodip Biswas, Fanglan Chen, Andreea Sistrunk, Sathappan Muthiah, Zhiqian Chen, Nathan Self, Chang-Tien Lu, Naren Ramakrishnan |
| 2020 | AAAI | TapNet: Multivariate Time Series Classification with Attentional Prototypical Network. | Xuchao Zhang, Yifeng Gao, Jessica Lin, Chang-Tien Lu |
| 2020 | AAAI | Self-Paced Robust Learning for Leveraging Clean Labels in Noisy Data. | Xuchao Zhang, Xian Wu, Fanglan Chen, Liang Zhao, Chang-Tien Lu |
| 2020 | DATE | Estimating the Circuit De-obfuscation Runtime based on Graph Deep Learning. | Zhiqian Chen, Gaurav Kolhe, Setareh Rafatirad, Chang-Tien Lu, Sai Manoj P. D., Houman Homayoun, Liang Zhao |
| 2020 | EMNLP | 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 |
| 2019 | EMNLP | Modeling the Relationship between User Comments and Edits in Document Revision. | Xuchao Zhang, Dheeraj Rajagopal, Michael Gamon, Sujay Kumar Jauhar, Chang-Tien Lu |
| 2019 | IJCAI | Patent Citation Dynamics Modeling via Multi-Attention Recurrent Networks. | Taoran Ji, Zhiqian Chen, Nathan Self, Kaiqun Fu, Chang-Tien Lu, Naren Ramakrishnan |
| 2019 | KDD | Spatio-temporal Event Forecasting and Precursor Identification. | Yue Ning, Liang Zhao, Feng Chen, Chang-Tien Lu, Huzefa Rangwala |
| 2019 | NAACL | Mitigating Uncertainty in Document Classification. | Xuchao Zhang, Fanglan Chen, Chang-Tien Lu, Naren Ramakrishnan |
| 2018 | ICDM | Rational Neural Networks for Approximating Graph Convolution Operator on Jump Discontinuities. | Zhiqian Chen, Feng Chen, Rongjie Lai, Xuchao Zhang, Chang-Tien Lu |
| 2018 | ICDM | Robust Regression via Online Feature Selection Under Adversarial Data Corruption. | Xuchao Zhang, Shuo Lei, Liang Zhao, Arnold P. Boedihardjo, Chang-Tien Lu |
| 2018 | IJCAI | Social Media based Simulation Models for Understanding Disease Dynamics. | Ting Hua, Chandan K. Reddy, Lei Zhang, Lijing Wang, Liang Zhao, Chang-Tien Lu, Naren Ramakrishnan |
| 2018 | IJCAI | Distributed Self-Paced Learning in Alternating Direction Method of Multipliers. | Xuchao Zhang, Liang Zhao, Zhiqian Chen, Chang-Tien Lu |
| 2017 | AAAI | Determining Relative Airport Threats from News and Social Media. | Rupinder Paul Khandpur, Taoran Ji, Yue Ning, Liang Zhao, Chang-Tien Lu, Erik R. Smith, Christopher Adams, Naren Ramakrishnan |
| 2017 | CIKM | Crowdsourcing Cybersecurity: Cyber Attack Detection using Social Media. | Rupinder Paul Khandpur, Taoran Ji, Steve T. K. Jan, Gang Wang, Chang-Tien Lu, Naren Ramakrishnan |
| 2017 | CIKM | Spatiotemporal Event Forecasting from Incomplete Hyper-local Price Data. | Xuchao Zhang, Liang Zhao, Arnold P. Boedihardjo, Chang-Tien Lu, Naren Ramakrishnan |
| 2017 | ICDM | Learning to Fuse Music Genres with Generative Adversarial Dual Learning. | Zhiqian Chen, Chih-Wei Wu, Yen-Cheng Lu, Alexander Lerch, Chang-Tien Lu |
| 2017 | ICDM | Online and Distributed Robust Regressions Under Adversarial Data Corruption. | Xuchao Zhang, Liang Zhao, Arnold P. Boedihardjo, Chang-Tien Lu |
| 2017 | IJCAI | Multimodal Storytelling via Generative Adversarial Imitation Learning. | Zhiqian Chen, Xuchao Zhang, Arnold P. Boedihardjo, Jing Dai, Chang-Tien Lu |
| 2017 | IJCAI | Robust Regression via Heuristic Hard Thresholding. | Xuchao Zhang, Liang Zhao, Arnold P. Boedihardjo, Chang-Tien Lu |
| 2017 | SDM | Absenteeism Detection in Social Media. | Fang Jin, Feng Chen, Rupinder Paul Khandpur, Chang-Tien Lu, Naren Ramakrishnan |
| 2016 | AAAI | Topical Analysis of Interactions Between News and Social Media. | Ting Hua, Yue Ning, Feng Chen, Chang-Tien Lu, Naren Ramakrishnan |
| 2016 | CIKM | Automatical Storyline Generation with Help from Twitter. | Ting Hua, Xuchao Zhang, Wei Wang, Chang-Tien Lu, Naren Ramakrishnan |
| 2016 | ICDM | Multi-resolution Spatial Event Forecasting in Social Media. | Liang Zhao, Feng Chen, Chang-Tien Lu, Naren Ramakrishnan |
| 2016 | ICMLA | DERIV: Distributed In-Memory Brand Perception Tracking Framework. | Manu Shukla, Andrew Fong, Raimundo F. Dos Santos, Chang-Tien Lu |
| 2016 | KDD | EMBERS at 4 years: Experiences operating an Open Source Indicators Forecasting System. | Sathappan Muthiah, Patrick Butler, Rupinder Paul Khandpur, Parang Saraf, Nathan Self, Alla Rozovskaya, Liang Zhao, Jose Cadena, Chang-Tien Lu, Anil Vullikanti, Achla Marathe, Kristen Maria Summers, Graham Katz, Andy Doyle, Jaime Arredondo, Dipak K. Gupta, David Mares, Naren Ramakrishnan |
| 2016 | KDD | Hierarchical Incomplete Multi-source Feature Learning for Spatiotemporal Event Forecasting. | Liang Zhao, Jieping Ye, Feng Chen, Chang-Tien Lu, Naren Ramakrishnan |
| 2016 | SIGIR | An Unsupervised Approach to Anomaly Detection in Music Datasets. | Yen-Cheng Lu, Chih-Wei Wu, Chang-Tien Lu, Alexander Lerch |
| 2015 | ICDM | SimNest: Social Media Nested Epidemic Simulation via Online Semi-Supervised Deep Learning. | Liang Zhao, Jiangzhuo Chen, Feng Chen, Wei Wang, Chang-Tien Lu, Naren Ramakrishnan |
| 2015 | KDD | Multi-Task Learning for Spatio-Temporal Event Forecasting. | Liang Zhao, Qian Sun, Jieping Ye, Feng Chen, Chang-Tien Lu, Naren Ramakrishnan |
| 2015 | SDM | Spatiotemporal Event Forecasting in Social Media. | Liang Zhao, Feng Chen, Chang-Tien Lu, Naren Ramakrishnan |
| 2014 | KDD | 'Beating the news' with EMBERS: forecasting civil unrest using open source indicators. | Naren Ramakrishnan, Patrick Butler, Sathappan Muthiah, Nathan Self, Rupinder Paul Khandpur, Parang Saraf, Wei Wang, Jose Cadena, Anil Vullikanti, Gizem Korkmaz, Chris J. Kuhlman, Achla Marathe, Liang Zhao, Ting Hua, Feng Chen, Chang-Tien Lu, Bert Huang, Aravind Srinivasan, Khoa Trinh, Lise Getoor, Graham Katz, Andy Doyle, Chris Ackermann, Ilya Zavorin, Jim Ford, Kristen Maria Summers, Youssef Fayed, Jaime Arredondo, Dipak Gupta, David Mares |
| 2013 | AAAI | A Generalized Student-t Based Approach to Mixed-Type Anomaly Detection. | Yen-Cheng Lu, Feng Chen, Yang Chen, Chang-Tien Lu |
| 2013 | IJCAI | Deep Sparse Coding based Recursive Disaggregation Model for Water Conservation. | Haili Dong, Bingsheng Wang, Chang-Tien Lu |
| 2013 | INFOCOM | Non-parametric passive traffic monitoring in cognitive radio networks. | Qiben Yan, Ming Li, Feng Chen, Tingting Jiang, Wenjing Lou, Y. Thomas Hou, Chang-Tien Lu |
| 2013 | KDD | STED: semi-supervised targeted-interest event detectionin in twitter. | Ting Hua, Feng Chen, Liang Zhao, Chang-Tien Lu, Naren Ramakrishnan |
| 2013 | SDM | A Hierarchical Probabilistic Model for Low Sample Rate Home-Use Energy Disaggregation. | Arnold P. Boedihardjo, Feng Chen, Haili Dong, Chang-Tien Lu, Bingsheng Wang |
| 2012 | ICDM | Robust Prediction and Outlier Detection for Spatial Datasets. | Xutong Liu, Feng Chen, Chang-Tien Lu |
| 2012 | ICDM | Signal Disaggregation via Sparse Coding with Featured Discriminative Dictionary. | Bingsheng Wang, Feng Chen, Haili Dong, Arnold P. Boedihardjo, Chang-Tien Lu |
| 2011 | KDD | Activity analysis based on low sample rate smart meters. | Feng Chen, Jing Dai, Bingsheng Wang, Sambit Sahu, Milind R. Naphade, Chang-Tien Lu |
| 2011 | MDM | DIME: Disposable Index for Moving Objects. | Jing Dai, Chang-Tien Lu |
| 2011 | SMC | A framework for the expansion of spatial features based on semantic footprints. | Raimundo F. Dos Santos, Arnold P. Boedihardjo, Chang-Tien Lu |
| 2010 | ICDE | C3: Concurrency control on continuous queries over moving objects. | Jing Dai, Chang-Tien Lu |
| 2010 | ICMLA | Appearance Based Recognition Using Spatial and Discriminant Influence. | Qi Li, Chang-Tien Lu |
| 2010 | KDD | GLS-SOD: a generalized local statistical approach for spatial outlier detection. | Feng Chen, Chang-Tien Lu, Arnold P. Boedihardjo |
| 2009 | MDM | A Concurrency Control Protocol for Continuously Monitoring Moving Objects. | Jing Dai, Chang-Tien Lu, Lien Fu Lai |
| 2008 | CIKM | A framework for estimating complex probability density structures in data streams. | Arnold P. Boedihardjo, Chang-Tien Lu, Feng Chen |
| 2008 | ICDM | On Locally Linear Classification by Pairwise Coupling. | Feng Chen, Chang-Tien Lu, Arnold P. Boedihardjo |
| 2008 | IRI | An entropy-based method for assessing the number of spatial outliers. | Xutong Liu, Chang-Tien Lu, Feng Chen |
| 2007 | IRI | Performance Evaluation of Desktop Search Engines. | Chang-Tien Lu, Manu Shukla, Siri H. Subramanya, Yamin Wu |
| 2007 | ICTAI | Spatial Outlier Detection: A Graph-Based Approach. | Yufeng Kou, Chang-Tien Lu, Raimundo F. Dos Santos |
| 2006 | ICDE | AITVS: Advanced Interactive Traffic Visualization System. | Chang-Tien Lu, Arnold P. Boedihardjo, Jinping Zheng |
| 2006 | SDM | Spatial Weighted Outlier Detection. | Yufeng Kou, Chang-Tien Lu, Dechang Chen |
| 2005 | IRI | Exploiting efficient data mining techniques to enhance intrusion detection systems. | Chang-Tien Lu, Arnold P. Boedihardjo, Prajwal Manalwar |
| 2005 | SDM | Making Data Mining Models Useful to Model Non-paying Customers of Exchange Carriers. | Wei Fan, Janek Mathuria, Chang-Tien Lu |
| 2004 | COMPSAC | Evaluating GML Support for Spatial Databases. | Lakshmi N. Sripada, Chang-Tien Lu, Weili Wu |
| 2004 | ICIG | Web visualization of geo-spatial data using SVG and VRML/X3D. | Jianghui Ying, Denis Gracanin, Chang-Tien Lu |
| 2004 | IRI | Analysis of Payment Transaction Security in Mobile Commerce. | Seema Nambiar, Chang-Tien Lu, Lily R. Liang |
| 2003 | ICDM | Algorithms for Spatial Outlier Detection. | Chang-Tien Lu, Dechang Chen, Yufeng Kou |
| 2003 | ICTAI | Detecting Spatial Outliers with Multiple Attributes. | Chang-Tien Lu, Dechang Chen, Yufeng Kou |
| 2002 | ICTAI | Data Mining for Selective Visualization of Large Spatial Datasets. | Shashi Shekhar, Chang-Tien Lu, Pusheng Zhang, Rulin Liu |
| 2001 | KDD | Detecting graph-based spatial outliers: algorithms and applications (a summary of results). | Shashi Shekhar, Chang-Tien Lu, Pusheng Zhang |
| 1998 | SRDS | Optimizing Join Index Based Join Processing: A Graph Partitioning Approach. | Sivakumar Ravada, Shashi Shekhar, Chang-Tien Lu, Sanjay Chawla |