Lu, Chang-Tien

21 publications

NeurIPS 2024 DC-Gaussian: Improving 3D Gaussian Splatting for Reflective Dash Cam Videos Linhan Wang, Kai Cheng, Shuo Lei, Shengkun Wang, Wei Yin, Chenyang Lei, Xiaoxiao Long, Chang-Tien Lu

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

AAAI 2022 Augmentation of Chinese Character Representations with Compositional Graph Learning (Student Abstract) Jason Wang, Kaiqun Fu, Zhiqian Chen, Chang-Tien Lu

AAAI 2022 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

ECCV 2022 Cross-Domain Few-Shot Semantic Segmentation Shuo Lei, Xuchao Zhang, Jianfeng He, Fanglan Chen, Bowen Du, Chang-Tien Lu

AAAI 2022 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

AAAI 2022 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

AAAI 2021 Dynamic Multi-Context Attention Networks for Citation Forecasting of Scientific Publications Taoran Ji, Nathan Self, Kaiqun Fu, Zhiqian Chen, Naren Ramakrishnan, Chang-Tien Lu

ICCVW 2021 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

AAAI 2020 Geospatial Clustering for Balanced and Proximal Schools Subhodip Biswas, Fanglan Chen, Andreea Sistrunk, Sathappan Muthiah, Zhiqian Chen, Nathan Self, Chang-Tien Lu, Naren Ramakrishnan

AAAI 2020 Self-Paced Robust Learning for Leveraging Clean Labels in Noisy Data Xuchao Zhang, Xian Wu, Fanglan Chen, Liang Zhao, Chang-Tien Lu

AAAI 2020 TapNet: Multivariate Time Series Classification with Attentional Prototypical Network Xuchao Zhang, Yifeng Gao, Jessica Lin, Chang-Tien Lu

IJCAI 2019 Patent Citation Dynamics Modeling via Multi-Attention Recurrent Networks Taoran Ji, Zhiqian Chen, Nathan Self, Kaiqun Fu, Chang-Tien Lu, Naren Ramakrishnan

IJCAI 2018 Distributed Self-Paced Learning in Alternating Direction Method of Multipliers Xuchao Zhang, Liang Zhao, Zhiqian Chen, Chang-Tien Lu

IJCAI 2018 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

AAAI 2017 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

IJCAI 2017 Multimodal Storytelling via Generative Adversarial Imitation Learning Zhiqian Chen, Xuchao Zhang, Arnold P. Boedihardjo, Jing Dai, Chang-Tien Lu

IJCAI 2017 Robust Regression via Heuristic Hard Thresholding Xuchao Zhang, Liang Zhao, Arnold P. Boedihardjo, Chang-Tien Lu

AAAI 2016 Topical Analysis of Interactions Between News and Social Media Ting Hua, Yue Ning, Feng Chen, Chang-Tien Lu, Naren Ramakrishnan

AAAI 2013 A Generalized Student-T Based Approach to Mixed-Type Anomaly Detection Yen-Cheng Lu, Feng Chen, Yang Chen, Chang-Tien Lu

IJCAI 2013 Deep Sparse Coding Based Recursive Disaggregation Model for Water Conservation Haili Dong, Bingsheng Wang, Chang-Tien Lu