Liang Zhao

349 papers A* 84A 26B 2Misc 1Journal 189Unranked 39
YearRankTypeTitle / Venue / Authors
2026 J jnl
Domain Specialization as the Key to Make Large Language Models Disruptive: A Comprehensive Survey.
ACM Comput. Surv.
Chen Ling, Xujiang Zhao, Jiaying Lu, Chengyuan Deng, Can Zheng, Junxiang Wang, Tanmoy Chowdhury, Yun Li, Hejie Cui, Xuchao Zhang, Tianjiao Zhao, Amit Panalkar, Dhagash Mehta, Stefano Pasquali, Wei Cheng, Haoyu Wang, Yanchi Liu, Zhengzhang Chen, Haifeng Chen, Chris White, Quanquan Gu, Jian Pei, Carl Yang, Liang Zhao
2026 J jnl
Efficient Deep Generative Models for Spatial Networks via Spanning Tree Sampler.
ACM Trans. Knowl. Discov. Data
Xiaojie Guo, Yuanqi Du, Zheng Zhang, Liang Zhao
2026 Misc conf
Hardware Trojan Detection and Interpretation Using Graph Neural Networks.
VLSID
Jayanth Thangellamudi, Negar Etemadyrad, Liang Zhao, Sai Manoj P. D
2026 J jnl
Manifold-Aware Temporal Domain Generalization for Large Language Models.
CoRR
Yiheng Yao, Zekun Cai, Xinyuan Song, Hill Hiroki Kobayashi, Xuan Song, Ryosuke Shibasaki, Liang Zhao
2026 A conf
Network Tomography with Path-Centric Graph Neural Network.
WSDM
Yuntong Hu, Junxiang Wang, Liang Zhao
2026 J jnl
RAG without Forgetting: Continual Query-Infused Key Memory.
CoRR
Yuntong Hu, Sha Li, Naren Ramakrishnan, Liang Zhao
2026 J jnl
Spatial-Agent: Agentic Geo-spatial Reasoning with Scientific Core Concepts.
CoRR
Riyang Bao, Cheng Yang, Dazhou Yu, Zhexiang Tang, Gengchen Mai, Liang Zhao
2026 J jnl
Topology-Aware Generation and Activity-Based Filtering: A Computational-Experimental Framework for Data-Scarce Quaternary Ammonium Compound Discovery.
J. Chem. Inf. Model.
Shiva Ghaemi, Amanda J. Consylman, Bo Pan, Alice Wu, Ashley Ann Petersen, Gabe Chang, Diana McDonough, Mark A. Forman, Elise L. Bezold, William M. Wuest, Amarda Shehu, Liang Zhao, Kevin Minbiole
2025 J jnl
A review on knowledge graphs for healthcare: Resources, applications, and promises.
J. Biomed. Informatics
Hejie Cui, Jiaying Lu, Ran Xu, Shiyu Wang, Wenjing Ma, Yue Yu, Shaojun Yu, Xuan Kan, Chen Ling, Liang Zhao, Zhaohui S. Qin, Joyce C. Ho, Tianfan Fu, Jing Ma, Mengdi Huai, Fei Wang, Carl Yang
2025 — conf
An Instructible Chemist-AI Alignment Framework for Generating Quaternary Ammonium Compound Structures.
KDD (2)
Bo Pan, Shiva Ghaemi, Amanda J. Consylman, Zihao Zhao, Ashley Ann Petersen, Alice Wu, Gabriel Chang, Diana McDonough, Mark A. Forman, Elise L. Bezold, William M. Wuest, Kevin Minbiole, Liang Zhao, Amarda Shehu
2025 A* conf
CG-RAG: Research Question Answering by Citation Graph Retrieval-Augmented LLMs.
SIGIR
Yuntong Hu, Zhihan Lei, Zhongjie Dai, Allen Zhang, Abhinav Angirekula, Zheng Zhang, Liang Zhao
2025 J jnl
CG-RAG: Research Question Answering by Citation Graph Retrieval-Augmented LLMs.
CoRR
Yuntong Hu, Zhihan Lei, Zhongjie Dai, Allen Zhang, Abhinav Angirekula, Zheng Zhang, Liang Zhao
2025 J jnl
Continuous Domain Generalization.
CoRR
Zekun Cai, Yiheng Yao, Guangji Bai, Renhe Jiang, Xuan Song, Ryosuke Shibasaki, Liang Zhao
2025 J jnl
Cross-modal RAG: Sub-dimensional Retrieval-Augmented Text-to-Image Generation.
CoRR
Mengdan Zhu, Senhao Cheng, Guangji Bai, Yifei Zhang, Liang Zhao
2025 J jnl
Deep Identification of Propagation Trees.
CoRR
Zeeshan Memon, Ling Chen, Ruochen Kong, Vishwanath Seshagiri, Andreas Züfle, Liang Zhao
2025 J jnl
End-to-end Trajectory Generation - Contrasting Deep Generative Models and Language Models.
ACM Trans. Spatial Algorithms Syst.
Liming Zhang, Jonathan Mbuya, Liang Zhao, Dieter Pfoser, Antonios Anastasopoulos
2025 J jnl
Explainable Cross-Disease Reasoning for Cardiovascular Risk Assessment from LDCT.
CoRR
Yifei Zhang, Jiashuo Zhang, Xiaofeng Yang, Liang Zhao
2025 — conf
FedSpaLLM: Federated Pruning of Large Language Models.
NAACL (Long Papers)
Guangji Bai, Yijiang Li, Zilinghan Li, Liang Zhao, Kibaek Kim
2025 — conf
GRAG: Graph Retrieval-Augmented Generation.
NAACL (Findings)
Yuntong Hu, Zhihan Lei, Zheng Zhang, Bo Pan, Chen Ling, Liang Zhao
2025 A conf
GReF: A Unified Generative Framework for Efficient Reranking via Ordered Multi-token Prediction.
CIKM
Zhijie Lin, Zhuofeng Li, Chenglei Dai, Wentian Bao, Shuai Lin, Enyun Yu, Haoxiang Zhang, Liang Zhao
2025 — conf
GraphNarrator: Generating Textual Explanations for Graph Neural Networks.
ACL (1)
Bo Pan, Zhen Xiong, Guanchen Wu, Zheng Zhang, Yifei Zhang, Yuntong Hu, Liang Zhao
2025 J jnl
Implicit graph neural network for deep graph transformation.
Knowl. Inf. Syst.
Lei Zhang, Qisheng Zhang, Zhiqian Chen, Yanshen Sun, Chang-Tien Lu, Liang Zhao
2025 A conf
LatentExplainer: Explaining Latent Representations in Deep Generative Models with Multimodal Large Language Models.
CIKM
Mengdan Zhu, Raasikh Kanjiani, Jiahui Lu, Andrew Choi, Qirui Ye, Liang Zhao
2025 J jnl
Multimodal Representation Learning Conditioned on Semantic Relations.
CoRR
Yang Qiao, Yuntong Hu, Liang Zhao
2025 — conf
Network Interdiction Goes Neural.
KDD (2)
Lei Zhang, Zhiqian Chen, Chang-Tien Lu, Liang Zhao
2025 J jnl
Network Tomography with Path-Centric Graph Neural Network.
CoRR
Yuntong Hu, Junxiang Wang, Liang Zhao
2025 A* conf
PolyhedronNet: Representation Learning for Polyhedra with Surface-attributed Graph.
ICLR
Dazhou Yu, Genpei Zhang, Liang Zhao
2025 J jnl
PolyhedronNet: Representation Learning for Polyhedra with Surface-attributed Graph.
CoRR
Dazhou Yu, Genpei Zhang, Liang Zhao
2025 A conf
SST: Multi-Scale Hybrid Mamba-Transformer Experts for Time Series Forecasting.
CIKM
Xiongxiao Xu, Canyu Chen, Yueqing Liang, Baixiang Huang, Guangji Bai, Liang Zhao, Kai Shu
2025 — conf
Saliency-Bench: A Comprehensive Benchmark for Evaluating Visual Explanations.
KDD (2)
Yifei Zhang, James Song, Siyi Gu, Tianxu Jiang, Bo Pan, Guangji Bai, Liang Zhao
2025 J jnl
Spatial-RAG: Spatial Retrieval Augmented Generation for Real-World Spatial Reasoning Questions.
CoRR
Dazhou Yu, Riyang Bao, Gengchen Mai, Liang Zhao
2025 A conf
Staleness-Alleviated Distributed GNN Training via Online Dynamic-Embedding Prediction.
SDM
Guangji Bai, Ziyang Yu, Zheng Chai, Yue Cheng, Liang Zhao
2025 A conf
TAGA: Text-Attributed Graph Self-Supervised Learning by Synergizing Graph and Text Mutual Transformations.
CIKM
Zheng Zhang, Yuntong Hu, Bo Pan, Chen Ling, Liang Zhao
2025 J jnl
Towards Expressive Spectral-Temporal Graph Neural Networks for Time Series Forecasting.
IEEE Trans. Pattern Anal. Mach. Intell.
Ming Jin, Guangsi Shi, Yuan-Fang Li, Bo Xiong, Tian Zhou, Flora D. Salim, Liang Zhao, Lingfei Wu, Qingsong Wen, Shirui Pan
2025 A conf
Transferable Deep Clustering Model.
CIKM
Zheng Zhang, Liang Zhao
2024 J jnl
3DPFIX: Improving Remote Novices' 3D Printing Troubleshooting through Human-AI Collaboration Design.
Proc. ACM Hum. Comput. Interact.
Nahyun Kwon, Tong Steven Sun, Yuyang Gao, Liang Zhao, Xu Wang, Jeeeun Kim, Sungsoo Ray Hong
2024 J jnl
3DPFIX: Improving Remote Novices' 3D Printing Troubleshooting through Human-AI Collaboration.
CoRR
Nahyun Kwon, Tong Sun, Yuyang Gao, Liang Zhao, Xu Wang, Jeeeun Kim, Sungsoo Ray Hong
2024 J jnl
A Condensed Transition Graph Framework for Zero-shot Link Prediction with Large Language Models.
CoRR
Mingchen Li, Chen Ling, Rui Zhang, Liang Zhao
2024 J jnl
Beyond Efficiency: A Systematic Survey of Resource-Efficient Large Language Models.
CoRR
Guangji Bai, Zheng Chai, Chen Ling, Shiyu Wang, Jiaying Lu, Nan Zhang, Tingwei Shi, Ziyang Yu, Mengdan Zhu, Yifei Zhang, Carl Yang, Yue Cheng, Liang Zhao
2024 J jnl
Bridging the Gap between Spatial and Spectral Domains: A Unified Framework for Graph Neural Networks.
ACM Comput. Surv.
Zhiqian Chen, Fanglan Chen, Lei Zhang, Taoran Ji, Kaiqun Fu, Liang Zhao, Feng Chen, Lingfei Wu, Charu Aggarwal, Chang-Tien Lu
2024 A* conf
Continuous Temporal Domain Generalization.
NeurIPS
Zekun Cai, Guangji Bai, Renhe Jiang, Xuan Song, Liang Zhao
2024 J jnl
Continuous Temporal Domain Generalization.
CoRR
Zekun Cai, Guangji Bai, Renhe Jiang, Xuan Song, Liang Zhao
2024 J jnl
Controllable Data Generation by Deep Learning: A Review.
ACM Comput. Surv.
Shiyu Wang, Yuanqi Du, Xiaojie Guo, Bo Pan, Zhaohui S. Qin, Liang Zhao
2024 A* conf
DUE: Dynamic Uncertainty-Aware Explanation Supervision via 3D Imputation.
KDD
Qilong Zhao, Yifei Zhang, Mengdan Zhu, Siyi Gu, Yuyang Gao, Xiaofeng Yang, Liang Zhao
2024 J jnl
DUE: Dynamic Uncertainty-Aware Explanation Supervision via 3D Imputation.
CoRR
Qilong Zhao, Yifei Zhang, Mengdan Zhu, Siyi Gu, Yuyang Gao, Xiaofeng Yang, Liang Zhao
2024 J jnl
Deep Causal Generative Models with Property Control.
CoRR
Qilong Zhao, Shiyu Wang, Guangji Bai, Bo Pan, Zhaohui Qin, Liang Zhao
2024 J jnl
Deep Multi-Task Learning for Spatio-Temporal Incomplete Qualitative Event Forecasting.
IEEE Trans. Knowl. Data Eng.
Tanmoy Chowdhury, Yuyang Gao, Liang Zhao
2024 J jnl
Deep graph representation learning influence maximization with accelerated inference.
Neural Networks
Tanmoy Chowdhury, Chen Ling, Junji Jiang, Junxiang Wang, My T. Thai, Liang Zhao
2024 A conf
Distilling Large Language Models for Text-Attributed Graph Learning.
CIKM
Bo Pan, Zheng Zhang, Yifei Zhang, Yuntong Hu, Liang Zhao
2024 J jnl
Distilling Large Language Models for Text-Attributed Graph Learning.
CoRR
Bo Pan, Zheng Zhang, Yifei Zhang, Yuntong Hu, Liang Zhao
2024 — conf
ELAD: Explanation-Guided Large Language Models Active Distillation.
ACL (Findings)
Yifei Zhang, Bo Pan, Chen Ling, Yuntong Hu, Liang Zhao
2024 J jnl
ELAD: Explanation-Guided Large Language Models Active Distillation.
CoRR
Yifei Zhang, Bo Pan, Chen Ling, Yuntong Hu, Liang Zhao
2024 J jnl
Explaining latent representations of generative models with large multimodal models.
CoRR
Mengdan Zhu, Zhenke Liu, Bo Pan, Abhinav Angirekula, Liang Zhao
2024 J jnl
FG-SMOTE: Towards Fair Node Classification with Graph Neural Network.
SIGKDD Explor.
Zichong Wang, Zhipeng Yin, Yuying Zhang, Liping Yang, Tingting Zhang, Niki Pissinou, Yu Cai, Shu Hu, Yun Li, Liang Zhao, Wenbin Zhang
2024 J jnl
FedSpaLLM: Federated Pruning of Large Language Models.
CoRR
Guangji Bai, Yijiang Li, Zilinghan Li, Liang Zhao, Kibaek Kim
2024 J jnl
Functional Connectivity Prediction With Deep Learning for Graph Transformation.
IEEE Trans. Neural Networks Learn. Syst.
Negar Etemadyrad, Yuyang Gao, Qingzhe Li, Xiaojie Guo, Frank Krueger, Qixiang Lin, Deqiang Qiu, Liang Zhao
2024 J jnl
GRAG: Graph Retrieval-Augmented Generation.
CoRR
Yuntong Hu, Zhihan Lei, Zheng Zhang, Bo Pan, Chen Ling, Liang Zhao
2024 J jnl
Gene-associated Disease Discovery Powered by Large Language Models.
CoRR
Jiayu Chang, Shiyu Wang, Chen Ling, Zhaohui Qin, Liang Zhao
2024 J jnl
Global explanation supervision for Graph Neural Networks.
Frontiers Big Data
Negar Etemadyrad, Yuyang Gao, Sai Manoj Pudukotai Dinakarrao, Liang Zhao
2024 J jnl
Going Beyond XAI: A Systematic Survey for Explanation-Guided Learning.
ACM Comput. Surv.
Yuyang Gao, Siyi Gu, Junji Jiang, Sungsoo Ray Hong, Dazhou Yu, Liang Zhao
2024 J jnl
Gradient-Free Adaptive Global Pruning for Pre-trained Language Models.
CoRR
Guangji Bai, Yijiang Li, Chen Ling, Kibaek Kim, Liang Zhao
2024 J jnl
Graph Fairness via Authentic Counterfactuals: Tackling Structural and Causal Challenges.
SIGKDD Explor.
Zichong Wang, Zhipeng Yin, Yuying Zhang, Liping Yang, Tingting Zhang, Niki Pissinou, Yu Cai, Shu Hu, Yun Li, Liang Zhao, Wenbin Zhang
2024 A conf
Helper Recommendation with seniority control in Online Health Community.
SDM
Junruo Gao, Chen Ling, Carl Yang, Liang Zhao
2024 J jnl
HiReview: Hierarchical Taxonomy-Driven Automatic Literature Review Generation.
CoRR
Yuntong Hu, Zhuofeng Li, Zheng Zhang, Chen Ling, Raasikh Kanjiani, Boxin Zhao, Liang Zhao
2024 — ed.
Knowledge Science, Engineering and Management - 17th International Conference, KSEM 2024, Birmingham, UK, August 16-18, 2024, Proceedings, Part I
KSEM (1)
Cungeng Cao, Huajun Chen, Liang Zhao, Junaid Arshad, A. Taufiq Asyhari, Yonghao Wang
2024 — ed.
Knowledge Science, Engineering and Management - 17th International Conference, KSEM 2024, Birmingham, UK, August 16-18, 2024, Proceedings, Part II
KSEM (2)
Cungeng Cao, Huajun Chen, Liang Zhao, Junaid Arshad, A. Taufiq Asyhari, Yonghao Wang
2024 — ed.
Knowledge Science, Engineering and Management - 17th International Conference, KSEM 2024, Birmingham, UK, August 16-18, 2024, Proceedings, Part III
KSEM (3)
Cungeng Cao, Huajun Chen, Liang Zhao, Junaid Arshad, A. Taufiq Asyhari, Yonghao Wang
2024 — ed.
Knowledge Science, Engineering and Management - 17th International Conference, KSEM 2024, Birmingham, UK, August 16-18, 2024, Proceedings, Part IV
KSEM (4)
Cungeng Cao, Huajun Chen, Liang Zhao, Junaid Arshad, A. Taufiq Asyhari, Yonghao Wang
2024 — ed.
Knowledge Science, Engineering and Management - 17th International Conference, KSEM 2024, Birmingham, UK, August 16-18, 2024, Proceedings, Part V
KSEM (5)
Cungeng Cao, Huajun Chen, Liang Zhao, Junaid Arshad, A. Taufiq Asyhari, Yonghao Wang
2024 — conf
Large Language Models for Spatial Trajectory Patterns Mining.
GeoAnomalies@SIGSPATIAL
Zheng Zhang, Hossein Amiri, Zhenke Liu, Liang Zhao, Andreas Züfle
2024 J jnl
LatentExplainer: Explaining Latent Representations in Deep Generative Models with Multi-modal Foundation Models.
CoRR
Mengdan Zhu, Raasikh Kanjiani, Jiahui Lu, Andrew Choi, Qirui Ye, Liang Zhao
2024 J jnl
Link Prediction on Textual Edge Graphs.
CoRR
Chen Ling, Zhuofeng Li, Yuntong Hu, Zheng Zhang, Zhongyuan Liu, Shuang Zheng, Liang Zhao
2024 J jnl
MEGL: Multimodal Explanation-Guided Learning.
CoRR
Yifei Zhang, Tianxu Jiang, Bo Pan, Jingyu Wang, Guangji Bai, Liang Zhao
2024 A conf
MIM-Reasoner: Learning with Theoretical Guarantees for Multiplex Influence Maximization.
AISTATS
Nguyen Hoang Khoi Do, Tanmoy Chowdhury, Chen Ling, Liang Zhao, My T. Thai
2024 J jnl
MIM-Reasoner: Learning with Theoretical Guarantees for Multiplex Influence Maximization.
CoRR
Nguyen Do, Tanmoy Chowdhury, Chen Ling, Liang Zhao, My T. Thai
2024 J jnl
Network Interdiction Goes Neural.
CoRR
Lei Zhang, Zhiqian Chen, Chang-Tien Lu, Liang Zhao
2024 A conf
Non-Euclidean Spatial Graph Neural Network.
SDM
Zheng Zhang, Sirui Li, Jingcheng Zhou, Junxiang Wang, Abhinav Angirekula, Allen Zhang, Liang Zhao
2024 A* conf
POND: Multi-Source Time Series Domain Adaptation with Information-Aware Prompt Tuning.
KDD
Junxiang Wang, Guangji Bai, Wei Cheng, Zhengzhang Chen, Liang Zhao, Haifeng Chen
2024 J jnl
Political-LLM: Large Language Models in Political Science.
CoRR
Lincan Li, Jiaqi Li, Catherine Chen, Fred Gui, Hongjia Yang, Chenxiao Yu, Zhengguang Wang, Jianing Cai, Junlong Aaron Zhou, Bolin Shen, Alex Qian, Weixin Chen, Zhongkai Xue, Lichao Sun, Lifang He, Hanjie Chen, Kaize Ding, Zijian Du, Fangzhou Mu, Jiaxin Pei, Jieyu Zhao, Swabha Swayamdipta, Willie Neiswanger, Hua Wei, Xiyang Hu, Shixiang Zhu, Tianlong Chen, Yingzhou Lu, Yang Shi, Lianhui Qin, Tianfan Fu, Zhengzhong Tu, Yuzhe Yang, Jaemin Yoo, Jiaheng Zhang, Ryan A. Rossi, Liang Zhan, Liang Zhao, Emilio Ferrara, Yan Liu, Furong Huang, Xiangliang Zhang, Lawrence Rothenberg, Shuiwang Ji, Philip S. Yu, Yue Zhao, Yushun Dong
2024 A* conf
PolygonGNN: Representation Learning for Polygonal Geometries with Heterogeneous Visibility Graph.
KDD
Dazhou Yu, Yuntong Hu, Yun Li, Liang Zhao
2024 J jnl
PolygonGNN: Representation Learning for Polygonal Geometries with Heterogeneous Visibility Graph.
CoRR
Dazhou Yu, Yuntong Hu, Yun Li, Liang Zhao
2024 J jnl
Position-Aware Parameter Efficient Fine-Tuning Approach for Reducing Positional Bias in LLMs.
CoRR
Zheng Zhang, Fan Yang, Ziyan Jiang, Zheng Chen, Zhengyang Zhao, Chengyuan Ma, Liang Zhao, Yang Liu
2024 J jnl
Quantifying uncertainty in graph neural network explanations.
Frontiers Big Data
Junji Jiang, Chen Ling, Hongyi Li, Guangji Bai, Xujiang Zhao, Liang Zhao
2024 A* conf
Representation Learning of Geometric Trees.
KDD
Zheng Zhang, Allen Zhang, Ruth Nelson, Giorgio A. Ascoli, Liang Zhao
2024 J jnl
Representation Learning of Geometric Trees.
CoRR
Zheng Zhang, Allen Zhang, Ruth Nelson, Giorgio A. Ascoli, Liang Zhao
2024 A conf
STES: A Spatiotemporal Explanation Supervision Framework.
SDM
Dazhou Yu, Binbin Chen, Yun Li, Suman Dhakal, Yifei Zhang, Zhenke Liu, Minxing Zhang, Jie Zhang, Liang Zhao
2024 A conf
Self-Similar Graph Neural Network for Hierarchical Graph Learning.
SDM
Zheng Zhang, Liang Zhao
2024 A* conf
Self-consistent Deep Geometric Learning for Heterogeneous Multi-source Spatial Point Data Prediction.
KDD
Dazhou Yu, Xiaoyun Gong, Yun Li, Meikang Qiu, Liang Zhao
2024 J jnl
Self-consistent Deep Geometric Learning for Heterogeneous Multi-source Spatial Point Data Prediction.
CoRR
Dazhou Yu, Xiaoyun Gong, Yun Li, Meikang Qiu, Liang Zhao
2024 A* conf
Source Localization for Cross Network Information Diffusion.
KDD
Chen Ling, Tanmoy Chowdhury, Jie Ji, Sirui Li, Andreas Züfle, Liang Zhao
2024 J jnl
Source Localization for Cross Network Information Diffusion.
CoRR
Chen Ling, Tanmoy Chowdhury, Jie Ji, Sirui Li, Andreas Züfle, Liang Zhao
2024 A* conf
SparseLLM: Towards Global Pruning of Pre-trained Language Models.
NeurIPS
Guangji Bai, Yijiang Li, Chen Ling, Kibaek Kim, Liang Zhao
2024 J jnl
TAGA: Text-Attributed Graph Self-Supervised Learning by Synergizing Graph and Text Mutual Transformations.
CoRR
Zheng Zhang, Yuntong Hu, Bo Pan, Chen Ling, Liang Zhao
2024 J jnl
TAGExplainer: Narrating Graph Explanations for Text-Attributed Graph Learning Models.
CoRR
Bo Pan, Zhen Xiong, Guanchen Wu, Zheng Zhang, Yifei Zhang, Liang Zhao
2024 A* conf
TEG-DB: A Comprehensive Dataset and Benchmark of Textual-Edge Graphs.
NeurIPS
Zhuofeng Li, Zixing Gou, Xiangnan Zhang, Zhongyuan Liu, Sirui Li, Yuntong Hu, Chen Ling, Zheng Zhang, Liang Zhao
2024 J jnl
TEG-DB: A Comprehensive Dataset and Benchmark of Textual-Edge Graphs.
CoRR
Zhuofeng Li, Zixing Gou, Xiangnan Zhang, Zhongyuan Liu, Sirui Li, Yuntong Hu, Chen Ling, Zheng Zhang, Liang Zhao
2024 A* conf
The 4th KDD Workshop on Deep Learning for Spatiotemporal Data, Applications, and Systems (DeepSpatial'24).
KDD
Zhe Jiang, Liang Zhao, Xun Zhou, Junbo Zhang, Shashi Shekhar, Jieping Ye
2024 J jnl
Toward Quantized Model Parallelism for Graph-Augmented MLPs Based on Gradient-Free ADMM Framework.
IEEE Trans. Neural Networks Learn. Syst.
Junxiang Wang, Hongyi Li, Zheng Chai, Yongchao Wang, Yue Cheng, Liang Zhao
2024 — conf
Transferable Unsupervised Outlier Detection Framework for Human Semantic Trajectories.
SIGSPATIAL/GIS
Zheng Zhang, Hossein Amiri, Dazhou Yu, Yuntong Hu, Liang Zhao, Andreas Züfle
2024 J jnl
Transferable Unsupervised Outlier Detection Framework for Human Semantic Trajectories.
CoRR
Zheng Zhang, Hossein Amiri, Dazhou Yu, Yuntong Hu, Liang Zhao, Andreas Züfle
2024 J jnl
Uncertainty Decomposition and Quantification for In-Context Learning of Large Language Models.
CoRR
Chen Ling, Xujiang Zhao, Wei Cheng, Yanchi Liu, Yiyou Sun, Xuchao Zhang, Mika Oishi, Takao Osaki, Katsushi Matsuda, Jie Ji, Guangji Bai, Liang Zhao, Haifeng Chen
2024 — conf
Uncertainty Quantification for In-Context Learning of Large Language Models.
NAACL-HLT
Chen Ling, Xujiang Zhao, Xuchao Zhang, Wei Cheng, Yanchi Liu, Yiyou Sun, Mika Oishi, Takao Osaki, Katsushi Matsuda, Jie Ji, Guangji Bai, Liang Zhao, Haifeng Chen
2024 A conf
Unifying Spectral and Spatial Graph Neural Networks.
CIKM
Zhiqian Chen, Lei Zhang, Liang Zhao
2024 A* conf
Visual Attention Prompted Prediction and Learning.
IJCAI
Yifei Zhang, Bo Pan, Siyi Gu, Guangji Bai, Meikang Qiu, Xiaofeng Yang, Liang Zhao
2024 A* conf
Zero-Shot Link Prediction in Knowledge Graphs with Large Language Models.
ICDM
Mingchen Li, Chen Ling, Rui Zhang, Liang Zhao
2023 J jnl
A Systematic Survey on Deep Generative Models for Graph Generation.
IEEE Trans. Pattern Anal. Mach. Intell.
Xiaojie Guo, Liang Zhao
2023 — conf
Artificial Intelligence for Climate Smart Forestry: A Forward Looking Vision.
CogMI
Feng Luo, Ling Liu, G. Geoff Wang, Vijay Kumar, Mark S. Ashton, Jacob D. Abernethy, Fatemeh Afghah, Matthew H. E. M. Browning, David Coyle, Philip M. Dames, Tom O'Halloran, James Hays, Patrick Hiesl, Chenfanfu Jiang, Puskar Khanal, Venkat Narayan Krovi, Sara Kuebbing, Nianyi Li, Jingjing Liang, Ninghao Liu, Steve McNulty, Christopher M. Oswalt, Neil Pederson, Demetri Terzopoulos, Christopher W. Woodall, Yongkai Wu, Jian Yang, Yin Yang, Liang Zhao
2023 J jnl
Balancing Specialized and General Skills in LLMs: The Impact of Modern Tuning and Data Strategy.
CoRR
Zheng Zhang, Chen Zheng, Da Tang, Ke Sun, Yukun Ma, Yingtong Bu, Xun Zhou, Liang Zhao
2023 J jnl
Beyond One-Model-Fits-All: A Survey of Domain Specialization for Large Language Models.
CoRR
Chen Ling, Xujiang Zhao, Jiaying Lu, Chengyuan Deng, Can Zheng, Junxiang Wang, Tanmoy Chowdhury, Yun Li, Hejie Cui, Xuchao Zhang, Tianjiao Zhao, Amit Panalkar, Wei Cheng, Haoyu Wang, Yanchi Liu, Zhengzhang Chen, Haifeng Chen, Chris White, Quanquan Gu, Carl Yang, Liang Zhao
2023 J jnl
Beyond Text: A Deep Dive into Large Language Models' Ability on Understanding Graph Data.
CoRR
Yuntong Hu, Zheng Zhang, Liang Zhao
2023 J jnl
Controllable Data Generation Via Iterative Data-Property Mutual Mappings.
CoRR
Bo Pan, Muran Qin, Shiyu Wang, Yifei Zhang, Liang Zhao
2023 A* conf
Curriculum Learning for Graph Neural Networks: Which Edges Should We Learn First.
NeurIPS
Zheng Zhang, Junxiang Wang, Liang Zhao
2023 J jnl
Curriculum Learning for Graph Neural Networks: Which Edges Should We Learn First.
CoRR
Zheng Zhang, Junxiang Wang, Liang Zhao
2023 A* conf
Deep Graph Representation Learning and Optimization for Influence Maximization.
ICML
Chen Ling, Junji Jiang, Junxiang Wang, My T. Thai, Renhao Xue, James Song, Meikang Qiu, Liang Zhao
2023 J jnl
Deep Graph Representation Learning and Optimization for Influence Maximization.
CoRR
Chen Ling, Junji Jiang, Junxiang Wang, My T. Thai, Lukas Xue, James Song, Meikang Qiu, Liang Zhao
2023 J jnl
Deep Graph Translation.
IEEE Trans. Neural Networks Learn. Syst.
Xiaojie Guo, Lingfei Wu, Liang Zhao
2023 J jnl
Deep Spatial Prediction via Heterogeneous Multi-source Self-supervision.
ACM Trans. Spatial Algorithms Syst.
Minxing Zhang, Dazhou Yu, Yun Li, Liang Zhao
2023 J jnl
Designing a Direct Feedback Loop between Humans and Convolutional Neural Networks through Local Explanations.
CoRR
Tong Steven Sun, Yuyang Gao, Shubham Khaladkar, Sijia Liu, Liang Zhao, Young-Ho Kim, Sungsoo Ray Hong
2023 J jnl
Designing a Direct Feedback Loop between Humans and Convolutional Neural Networks through Local Explanations.
Proc. ACM Hum. Comput. Interact.
Tong Steven Sun, Yuyang Gao, Shubham Khaladkar, Sijia Liu, Liang Zhao, Young-Ho Kim, Sungsoo Ray Hong
2023 J jnl
Domain Generalization Deep Graph Transformation.
CoRR
Shiyu Wang, Guangji Bai, Qingyang Zhu, Zhaohui Qin, Liang Zhao
2023 A* conf
Dynamic Activation of Clients and Parameters for Federated Learning over Heterogeneous Graphs.
ICDE
Zishan Gu, Ke Zhang, Guangji Bai, Liang Chen, Liang Zhao, Carl Yang
2023 A* conf
ESSA: Explanation Iterative Supervision via Saliency-guided Data Augmentation.
KDD
Siyi Gu, Yifei Zhang, Yuyang Gao, Xiaofeng Yang, Liang Zhao
2023 J jnl
Fast and adaptive dynamics-on-graphs to dynamics-of-graphs translation.
Frontiers Big Data
Lei Zhang, Zhiqian Chen, Chang-Tien Lu, Liang Zhao
2023 J jnl
Graph Neural Network for spatiotemporal data: methods and applications.
CoRR
Yun Li, Dazhou Yu, Zhenke Liu, Minxing Zhang, Xiaoyun Gong, Liang Zhao
2023 A* conf
Graph Neural Networks: Foundation, Frontiers and Applications.
KDD
Lingfei Wu, Peng Cui, Jian Pei, Liang Zhao, Xiaojie Guo
2023 J jnl
Helper Recommendation with seniority control in Online Health Community.
CoRR
Junruo Gao, Chen Ling, Carl Yang, Liang Zhao
2023 J jnl
Improving Open Information Extraction with Large Language Models: A Study on Demonstration Uncertainty.
CoRR
Chen Ling, Xujiang Zhao, Xuchao Zhang, Yanchi Liu, Wei Cheng, Haoyu Wang, Zhengzhang Chen, Takao Osaki, Katsushi Matsuda, Haifeng Chen, Liang Zhao
2023 A* conf
Infinitely Deep Graph Transformation Networks.
ICDM
Lei Zhang, Qisheng Zhang, Zhiqian Chen, Yanshen Sun, Chang-Tien Lu, Liang Zhao
2023 J jnl
Knowledge-enhanced Neural Machine Reasoning: A Review.
CoRR
Tanmoy Chowdhury, Chen Ling, Xuchao Zhang, Xujiang Zhao, Guangji Bai, Jian Pei, Haifeng Chen, Liang Zhao
2023 J jnl
Large Language Models for Spatial Trajectory Patterns Mining.
CoRR
Zheng Zhang, Hossein Amiri, Zhenke Liu, Andreas Züfle, Liang Zhao
2023 A* conf
MAGI: Multi-Annotated Explanation-Guided Learning.
ICCV
Yifei Zhang, Siyi Gu, Yuyang Gao, Bo Pan, Xiaofeng Yang, Liang Zhao
2023 J jnl
Modeling Health Stage Development of Patients With Dynamic Attributed Graphs in Online Health Communities.
IEEE Trans. Knowl. Data Eng.
Yuyang Gao, Tanmoy Chowdhury, Lingfei Wu, Liang Zhao
2023 J jnl
Motif-guided heterogeneous graph deep generation.
Knowl. Inf. Syst.
Chen Ling, Carl Yang, Liang Zhao
2023 J jnl
Multi-Prompt Fine-Tuning of Foundation Models for Enhanced Medical Image Segmentation.
CoRR
Xiangru Li, Yifei Zhang, Liang Zhao
2023 J jnl
Non-Euclidean Spatial Graph Neural Network.
CoRR
Zheng Zhang, Sirui Li, Jingcheng Zhou, Junxiang Wang, Abhinav Angirekula, Allen Zhang, Liang Zhao
2023 — conf
Open-ended Commonsense Reasoning with Unrestricted Answer Candidates.
EMNLP (Findings)
Chen Ling, Xuchao Zhang, Xujiang Zhao, Yanchi Liu, Wei Cheng, Mika Oishi, Takao Osaki, Katsushi Matsuda, Haifeng Chen, Liang Zhao
2023 J jnl
Open-ended Commonsense Reasoning with Unrestricted Answer Scope.
CoRR
Chen Ling, Xuchao Zhang, Xujiang Zhao, Yanchi Liu, Wei Cheng, Mika Oishi, Takao Osaki, Katsushi Matsuda, Haifeng Chen, Liang Zhao
2023 J jnl
Prompt-based Domain Discrimination for Multi-source Time Series Domain Adaptation.
CoRR
Junxiang Wang, Guangji Bai, Wei Cheng, Zhengzhang Chen, Liang Zhao, Haifeng Chen
2023 A conf
Saliency-Augmented Memory Completion for Continual Learning.
SDM
Guangji Bai, Chen Ling, Yuyang Gao, Liang Zhao
2023 J jnl
Saliency-Guided Hidden Associative Replay for Continual Learning.
CoRR
Guangji Bai, Qilong Zhao, Xiaoyang Jiang, Yifei Zhang, Liang Zhao
2023 A conf
Sign-Regularized Multi-Task Learning.
SDM
Guangji Bai, Johnny Torres, Junxiang Wang, Liang Zhao, Cristina L. Abad, Carmen Vaca
2023 J jnl
Staleness-Alleviated Distributed GNN Training via Online Dynamic-Embedding Prediction.
CoRR
Guangji Bai, Ziyang Yu, Zheng Chai, Yue Cheng, Liang Zhao
2023 J jnl
SurroCBM: Concept Bottleneck Surrogate Models for Generative Post-hoc Explanation.
CoRR
Bo Pan, Zhenke Liu, Yifei Zhang, Liang Zhao
2023 A* conf
Temporal Domain Generalization with Drift-Aware Dynamic Neural Networks.
ICLR
Guangji Bai, Chen Ling, Liang Zhao
2023 J jnl
Transferable Deep Clustering Model.
CoRR
Zheng Zhang, Liang Zhao
2023 — conf
Tutorials at The Web Conference 2023.
WWW (Companion Volume)
Valeria Fionda, Olaf Hartig, Reyhaneh Abdolazimi, Sihem Amer-Yahia, Hongzhi Chen, Xiao Chen, Peng Cui, Jeffrey Dalton, Xin Luna Dong, Lisette Espín-Noboa, Wenqi Fan, Manuela Fritz, Quan Gan, Jingtong Gao, Xiaojie Guo, Torsten Hahmann, Jiawei Han, Soyeon Caren Han, Estevam Hruschka, Liang Hu, Jiaxin Huang, Utkarshani Jaimini, Olivier Jeunen, Yushan Jiang, Fariba Karimi, George Karypis, Krishnaram Kenthapadi, Himabindu Lakkaraju, Hady W. Lauw, Thai Le, Trung-Hoang Le, Dongwon Lee, Geon Lee, Liat Levontin, Cheng-Te Li, Haoyang Li, Ying Li, Jay Chiehen Liao, Qidong Liu, Usha Lokala, Ben London, Siqu Long, Hande Küçük-McGinty, Yu Meng, Seungwhan Moon, Usman Naseem, Pradeep Natarajan, Behrooz Omidvar-Tehrani, Zijie Pan, Devesh Parekh, Jian Pei, Tiago Peixoto, Steven Pemberton, Josiah Poon, Filip Radlinski, Federico Rossetto, Kaushik Roy, Aghiles Salah, Mehrnoosh Sameki, Amit P. Sheth, Cogan Shimizu, Kijung Shin, Dongjin Song, Julia Stoyanovich, Dacheng Tao, Johanne R. Trippas, Quoc Truong, Yu-Che Tsai, Adaku Uchendu, Bram van den Akker, Lin Wang, Minjie Wang, Shoujin Wang, Xin Wang, Ingmar Weber, Henry Weld, Lingfei Wu, Da Xu, Yifan Ethan Xu, Shuyuan Xu, Bo Yang, Ke Yang, Elad Yom-Tov, Jaemin Yoo, Zhou Yu, Reza Zafarani, Hamed Zamani, Meike Zehlike, Qi Zhang, Xikun Zhang, Yongfeng Zhang, Yu Zhang, Zheng Zhang, Liang Zhao, Xiangyu Zhao, Wenwu Zhu
2023 A* conf
Unsupervised Deep Subgraph Anomaly Detection (Extended Abstract).
IJCAI
Zheng Zhang, Liang Zhao
2023 J jnl
Visual Attention-Prompted Prediction and Learning.
CoRR
Yifei Zhang, Siyi Gu, Bo Pan, Guangji Bai, Xiaofeng Yang, Liang Zhao
2023 J jnl
XAI Benchmark for Visual Explanation.
CoRR
Yifei Zhang, Siyi Gu, James Song, Bo Pan, Liang Zhao
2022 J jnl
Accelerated Gradient-free Neural Network Training by Multi-convex Alternating Optimization.
Neurocomputing
Junxiang Wang, Hongyi Li, Liang Zhao
2022 A* conf
Adaptive Kernel Graph Neural Network.
AAAI
Mingxuan Ju, Shifu Hou, Yujie Fan, Jianan Zhao, Yanfang Ye, Liang Zhao
2022 J jnl
Aligning Eyes between Humans and Deep Neural Network through Interactive Attention Alignment.
CoRR
Yuyang Gao, Tong Steven Sun, Liang Zhao, Sungsoo Ray Hong
2022 J jnl
Aligning Eyes between Humans and Deep Neural Network through Interactive Attention Alignment.
Proc. ACM Hum. Comput. Interact.
Yuyang Gao, Tong Steven Sun, Liang Zhao, Sungsoo Ray Hong
2022 A* conf
An Invertible Graph Diffusion Neural Network for Source Localization.
WWW
Junxiang Wang, Junji Jiang, Liang Zhao
2022 J jnl
An Invertible Graph Diffusion Neural Network for Source Localization.
CoRR
Junxiang Wang, Junji Jiang, Liang Zhao
2022 — conf
Beam Pattern Fingerprinting with Missing Features for Spoofing Attack Detection in Millimeter-Wave Networks.
WiseML@WiSec
Ya Jiang, Long Jiao, Liang Zhao, Kai Zeng
2022 J jnl
Black-box Node Injection Attack for Graph Neural Networks.
CoRR
Mingxuan Ju, Yujie Fan, Yanfang Ye, Liang Zhao
2022 J jnl
Controllable Data Generation by Deep Learning: A Review.
CoRR
Shiyu Wang, Yuanqi Du, Xiaojie Guo, Bo Pan, Liang Zhao
2022 — conf
Convergence and Applications of ADMM on the Multi-convex Problems.
PAKDD (2)
Junxiang Wang, Liang Zhao
2022 J jnl
Deep Generation of Heterogeneous Networks.
CoRR
Chen Ling, Carl Yang, Liang Zhao
2022 A* conf
Deep Generative Model for Periodic Graphs.
NeurIPS
Shiyu Wang, Xiaojie Guo, Liang Zhao
2022 J jnl
Deep Generative Model for Periodic Graphs.
CoRR
Shiyu Wang, Xiaojie Guo, Liang Zhao
2022 A* conf
Deep Spatial Domain Generalization.
ICDM
Dazhou Yu, Guangji Bai, Yun Li, Liang Zhao
2022 J jnl
Deep Spatial Domain Generalization.
CoRR
Dazhou Yu, Guangji Bai, Yun Li, Liang Zhao
2022 — conf
Deep geometric neural network for spatial interpolation.
SIGSPATIAL/GIS
Minxing Zhang, Dazhou Yu, Yun Li, Liang Zhao
2022 A* conf
DeepGAR: Deep Graph Learning for Analogical Reasoning.
ICDM
Chen Ling, Tanmoy Chowdhury, Junji Jiang, Junxiang Wang, Xuchao Zhang, Haifeng Chen, Liang Zhao
2022 J jnl
DeepGAR: Deep Graph Learning for Analogical Reasoning.
CoRR
Chen Ling, Tanmoy Chowdhury, Junji Jiang, Junxiang Wang, Xuchao Zhang, Haifeng Chen, Liang Zhao
2022 A* conf
DeepSpatial'22: The 3rd International Workshop on Deep Learning for Spatiotemporal Data, Applications, and Systems.
KDD
Zhe Jiang, Liang Zhao, Xun Zhou, Robert N. Stewart, Junbo Zhang, Shashi Shekhar, Jieping Ye
2022 A* conf
Disentangled Spatiotemporal Graph Generative Models.
AAAI
Yuanqi Du, Xiaojie Guo, Hengning Cao, Yanfang Ye, Liang Zhao
2022 J jnl
Disentangled Spatiotemporal Graph Generative Models.
CoRR
Yuanqi Du, Xiaojie Guo, Hengning Cao, Yanfang Ye, Liang Zhao
2022 J jnl
Distributed Graph Neural Network Training with Periodic Historical Embedding Synchronization.
CoRR
Zheng Chai, Guangji Bai, Liang Zhao, Yue Cheng
2022 J jnl
Event Prediction in the Big Data Era: A Systematic Survey.
ACM Comput. Surv.
Liang Zhao
2022 — conf
Factorized deep generative models for end-to-end trajectory generation with spatiotemporal validity constraints.
SIGSPATIAL/GIS
Liming Zhang, Liang Zhao, Dieter Pfoser
2022 A* conf
From "Dynamics on Graphs" to "Dynamics of Graphs": An Adaptive Echo-State Network Solution (Student Abstract).
AAAI
Lei Zhang, Zhiqian Chen, Chang-Tien Lu, Liang Zhao
2022 — conf
Generation and Characterization of Quaternary Ammonium Compounds via Deep Learning.
BIBM
Yinkai Wang, Shiva Ghaemi, Aowei Ding, Yuanqui Du, Bo Pan, Muran Qin, Xuanyang Lin, Ashley Ann Petersen, Austin Leitgeb, Saleh AlKhalifa, Kevin Minbiole, William M. Wuest, Liang Zhao, Amarda Shehu
2022 J jnl
Going Beyond XAI: A Systematic Survey for Explanation-Guided Learning.
CoRR
Yuyang Gao, Siyi Gu, Junji Jiang, Sungsoo Ray Hong, Dazhou Yu, Liang Zhao
2022 A* conf
Graph Neural Networks: Foundation, Frontiers and Applications.
KDD
Lingfei Wu, Peng Cui, Jian Pei, Liang Zhao, Xiaojie Guo
2022 A conf
Interpretable Molecular Graph Generation via Monotonic Constraints.
SDM
Yuanqi Du, Xiaojie Guo, Amarda Shehu, Liang Zhao
2022 J jnl
Interpretable Molecular Graph Generation via Monotonic Constraints.
CoRR
Yuanqi Du, Xiaojie Guo, Amarda Shehu, Liang Zhao
2022 A* conf
Multi-objective Deep Data Generation with Correlated Property Control.
NeurIPS
Shiyu Wang, Xiaojie Guo, Xuanyang Lin, Bo Pan, Yuanqi Du, Yinkai Wang, Yanfang Ye, Ashley Ann Petersen, Austin Leitgeb, Saleh AlKhalifa, Kevin Minbiole, William M. Wuest, Amarda Shehu, Liang Zhao
2022 J jnl
Multi-objective Deep Data Generation with Correlated Property Control.
CoRR
Shiyu Wang, Xiaojie Guo, Xuanyang Lin, Bo Pan, Yuanqi Du, Yinkai Wang, Yanfang Ye, Ashley Ann Petersen, Austin Leitgeb, Saleh AlKhalifa, Kevin Minbiole, William M. Wuest, Amarda Shehu, Liang Zhao
2022 J jnl
Online and Distributed Robust Regressions with Extremely Noisy Labels.
ACM Trans. Knowl. Discov. Data
Shuo Lei, Xuchao Zhang, Liang Zhao, Arnold P. Boedihardjo, Chang-Tien Lu
2022 — conf
Property-Controllable Generation of Quaternary Ammonium Compounds.
BIBM
Bo Pan, Yinkai Wang, Xuanyang Lin, Muran Qin, Yuanqi Du, Shiva Ghaemi, Aowei Ding, Shiyu Wang, Saleh AlKhalifa, Kevin Minbiole, William M. Wuest, Ashley Ann Petersen, Austin Leitgeb, Amarda Shehu, Liang Zhao
2022 — conf
RAPTA: A Hierarchical Representation Learning Solution For Real-Time Prediction of Path-Based Static Timing Analysis.
ACM Great Lakes Symposium on VLSI
Tanmoy Chowdhury, Ashkan Vakil, Banafsheh Saber Latibari, Sayed Aresh Beheshti-Shirazi, Ali Mirzaeian, Xiaojie Guo, Sai Manoj P. D., Houman Homayoun, Ioannis Savidis, Liang Zhao, Avesta Sasan
2022 A* conf
RES: A Robust Framework for Guiding Visual Explanation.
KDD
Yuyang Gao, Tong Steven Sun, Guangji Bai, Siyi Gu, Sungsoo Ray Hong, Liang Zhao
2022 J jnl
RES: A Robust Framework for Guiding Visual Explanation.
CoRR
Yuyang Gao, Tong Steven Sun, Guangji Bai, Siyi Gu, Sungsoo Ray Hong, Liang Zhao
2022 — conf
STGEN: Deep Continuous-Time Spatiotemporal Graph Generation.
ECML/PKDD (3)
Chen Ling, Hengning Cao, Liang Zhao
2022 J jnl
Saliency-Augmented Memory Completion for Continual Learning.
CoRR
Guangji Bai, Chen Ling, Yuyang Gao, Liang Zhao
2022 A* conf
Saliency-Regularized Deep Multi-Task Learning.
KDD
Guangji Bai, Liang Zhao
2022 J jnl
Saliency-Regularized Deep Multi-Task Learning.
CoRR
Guangji Bai, Liang Zhao
2022 J jnl
Small molecule generation via disentangled representation learning.
Bioinform.
Yuanqi Du, Xiaojie Guo, Yinkai Wang, Amarda Shehu, Liang Zhao
2022 A* conf
Source Localization of Graph Diffusion via Variational Autoencoders for Graph Inverse Problems.
KDD
Chen Ling, Junji Jiang, Junxiang Wang, Liang Zhao
2022 J jnl
Source Localization of Graph Diffusion via Variational Autoencoders for Graph Inverse Problems.
CoRR
Chen Ling, Junji Jiang, Junxiang Wang, Liang Zhao
2022 J jnl
Spatio-Temporal Event Forecasting Using Incremental Multi-Source Feature Learning.
ACM Trans. Knowl. Discov. Data
Liang Zhao, Yuyang Gao, Jieping Ye, Feng Chen, Yanfang Ye, Chang-Tien Lu, Naren Ramakrishnan
2022 J jnl
Temporal Domain Generalization with Drift-Aware Dynamic Neural Network.
CoRR
Guangji Bai, Ling Chen, Liang Zhao
2022 A* conf
Unsupervised Deep Subgraph Anomaly Detection.
ICDM
Zheng Zhang, Liang Zhao
2022 A* conf
Zero-Shot Cross-Lingual Machine Reading Comprehension via Inter-sentence Dependency Graph.
AAAI
Liyan Xu, Xuchao Zhang, Bo Zong, Yanchi Liu, Wei Cheng, Jingchao Ni, Haifeng Chen, Liang Zhao, Jinho D. Choi
2021 J jnl
A Convergent ADMM Framework for Efficient Neural Network Training.
CoRR
Junxiang Wang, Hongyi Li, Liang Zhao
2021 J jnl
Adaptive Kernel Graph Neural Network.
CoRR
Mingxuan Ju, Shifu Hou, Yujie Fan, Jianan Zhao, Liang Zhao, Yanfang Ye
2021 J jnl
BEAN: Interpretable and Efficient Learning With Biologically-Enhanced Artificial Neuronal Assembly Regularization.
Frontiers Neurorobotics
Yuyang Gao, Giorgio A. Ascoli, Liang Zhao
2021 J jnl
Bridging the Gap between Spatial and Spectral Domains: A Theoretical Framework for Graph Neural Networks.
CoRR
Zhiqian Chen, Fanglan Chen, Lei Zhang, Taoran Ji, Kaiqun Fu, Liang Zhao, Feng Chen, Lingfei Wu, Charu C. Aggarwal, Chang-Tien Lu
2021 J jnl
CPM: A general feature dependency pattern mining framework for contrast multivariate time series.
Pattern Recognit.
Qingzhe Li, Liang Zhao, Yi-Ching Lee, Avesta Sasan, Jessica Lin
2021 J jnl
Community-based Layerwise Distributed Training of Graph Convolutional Networks.
CoRR
Hongyi Li, Junxiang Wang, Yongchao Wang, Yue Cheng, Liang Zhao
2021 A* conf
Deep Generation of Heterogeneous Networks.
ICDM
Chen Ling, Carl Yang, Liang Zhao
2021 A* conf
Deep Generative Models for Spatial Networks.
KDD
Xiaojie Guo, Yuanqi Du, Liang Zhao
2021 J jnl
Deep Graph Learning for Circuit Deobfuscation.
Frontiers Big Data
Zhiqian Chen, Lei Zhang, Gaurav Kolhe, Hadi Mardani Kamali, Setareh Rafatirad, Sai Manoj Pudukotai Dinakarrao, Houman Homayoun, Chang-Tien Lu, Liang Zhao
2021 A* conf
Deep Graph Spectral Evolution Networks for Graph Topological Evolution.
AAAI
Negar Etemadyrad, Qingzhe Li, Liang Zhao
2021 — conf
Deep Latent-Variable Models for Controllable Molecule Generation.
BIBM
Yuanqi Du, Yinkai Wang, Fardina Fathmiul Alam, Yuanjie Lu, Xiaojie Guo, Liang Zhao, Amarda Shehu
2021 J jnl
Deep graph transformation for attributed, directed, and signed networks.
Knowl. Inf. Syst.
Xiaojie Guo, Liang Zhao, Houman Homayoun, Sai Manoj Pudukotai Dinakarrao
2021 A* conf
DeepSpatial'21: 2nd International Workshop on Deep Learning for Spatiotemporal Data, Applications, and Systems.
KDD
Xun Zhou, Liang Zhao, Zhe Jiang, Robert N. Stewart, Shashi Shekhar, Jieping Ye
2021 A conf
Disentangled Dynamic Graph Deep Generation.
SDM
Wenbin Zhang, Liming Zhang, Dieter Pfoser, Liang Zhao
2021 J jnl
Do Multi-Lingual Pre-trained Language Models Reveal Consistent Token Attributions in Different Languages?
CoRR
Junxiang Wang, Xuchao Zhang, Bo Zong, Yanchi Liu, Wei Cheng, Jingchao Ni, Haifeng Chen, Liang Zhao
2021 A* conf
Dr.Emotion: Disentangled Representation Learning for Emotion Analysis on Social Media to Improve Community Resilience in the COVID-19 Era and Beyond.
WWW
Mingxuan Ju, Wei Song, Shiyu Sun, Yanfang Ye, Yujie Fan, Shifu Hou, Kenneth A. Loparo, Liang Zhao
2021 A conf
FedAT: a high-performance and communication-efficient federated learning system with asynchronous tiers.
SC
Zheng Chai, Yujing Chen, Ali Anwar, Liang Zhao, Yue Cheng, Huzefa Rangwala
2021 A* conf
GNES: Learning to Explain Graph Neural Networks.
ICDM
Yuyang Gao, Tong Steven Sun, Rishab Bhatt, Dazhou Yu, Sungsoo Ray Hong, Liang Zhao
2021 — conf
GraphGT: Machine Learning Datasets for Graph Generation and Transformation.
NeurIPS Datasets and Benchmarks
Yuanqi Du, Shiyu Wang, Xiaojie Guo, Hengning Cao, Shujie Hu, Junji Jiang, Aishwarya Varala, Abhinav Angirekula, Liang Zhao
2021 J jnl
Heterogeneous Temporal Graph Neural Network.
CoRR
Yujie Fan, Mingxuan Ju, Chuxu Zhang, Liang Zhao, Yanfang Ye
2021 J jnl
Integrating memory-mapping and N-dimensional hash function for fast and efficient grid-based climate data query.
Ann. GIS
Mengchao Xu, Liang Zhao, Ruixin Yang, Jingchao Yang, Dexuan Sha, Chaowei Yang
2021 J jnl
Large-scale Cost-Aware Classification Using Feature Computational Dependency Graph.
IEEE Trans. Knowl. Data Eng.
Qingzhe Li, Amir Alipour-Fanid, Martin Slawski, Yanfang Ye, Lingfei Wu, Kai Zeng, Liang Zhao
2021 A* conf
Property Controllable Variational Autoencoder via Invertible Mutual Dependence.
ICLR
Xiaojie Guo, Yuanqi Du, Liang Zhao
2021 A* conf
Representation Learning on Spatial Networks.
NeurIPS
Zheng Zhan, Liang Zhao
2021 J jnl
Schematic Memory Persistence and Transience for Efficient and Robust Continual Learning.
CoRR
Yuyang Gao, Giorgio A. Ascoli, Liang Zhao
2021 J jnl
Schematic memory persistence and transience for efficient and robust continual learning.
Neural Networks
Yuyang Gao, Giorgio A. Ascoli, Liang Zhao
2021 J jnl
Sign-regularized Multi-task Learning.
CoRR
Johnny Torres, Guangji Bai, Junxiang Wang, Liang Zhao, Carmen Vaca, Cristina L. Abad
2021 A* conf
TG-GAN: Continuous-time Temporal Graph Deep Generative Models with Time-Validity Constraints.
WWW
Liming Zhang, Liang Zhao, Shan Qin, Dieter Pfoser, Chen Ling
2021 J jnl
Time series clustering in linear time complexity.
Data Min. Knowl. Discov.
Xiaosheng Li, Jessica Lin, Liang Zhao
2021 J jnl
Towards Quantized Model Parallelism for Graph-Augmented MLPs Based on Gradient-Free ADMM framework.
CoRR
Junxiang Wang, Hongyi Li, Zheng Chai, Yongchao Wang, Yue Cheng, Liang Zhao
2021 J jnl
Zero-Shot Cross-Lingual Machine Reading Comprehension via Inter-Sentence Dependency Graph.
CoRR
Liyan Xu, Xuchao Zhang, Bo Zong, Yanchi Liu, Wei Cheng, Jingchao Ni, Haifeng Chen, Liang Zhao, Jinho D. Choi
2020 J jnl
A Systematic Survey on Deep Generative Models for Graph Generation.
CoRR
Xiaojie Guo, Liang Zhao
2020 J jnl
Bridging the Gap between Spatial and Spectral Domains: A Survey on Graph Neural Networks.
CoRR
Zhiqian Chen, Fanglan Chen, Lei Zhang, Taoran Ji, Kaiqun Fu, Liang Zhao, Feng Chen, Chang-Tien Lu
2020 — conf
Code-Bridged Classifier (CBC): A Low or Negative Overhead Defense for Making a CNN Classifier Robust Against Adversarial Attacks.
ISQED
Farnaz Behnia, Ali Mirzaeian, Mohammad Sabokrou, Sai Manoj P. D., Tinoosh Mohsenin, Khaled N. Khasawneh, Liang Zhao, Houman Homayoun, Avesta Sasan
2020 J jnl
Code-Bridged Classifier (CBC): A Low or Negative Overhead Defense for Making a CNN Classifier Robust Against Adversarial Attacks.
CoRR
Farnaz Behnia, Ali Mirzaeian, Mohammad Sabokrou, Sai Manoj P. D., Tinoosh Mohsenin, Khaled N. Khasawneh, Liang Zhao, Houman Homayoun, Avesta Sasan
2020 J jnl
Cognitive and Scalable Technique for Securing IoT Networks Against Malware Epidemics.
IEEE Access
Sai Manoj Pudukotai Dinakarrao, Xiaojie Guo, Hossein Sayadi, Cameron Nowzari, Avesta Sasan, Setareh Rafatirad, Liang Zhao, Houman Homayoun
2020 J jnl
Contrast Pattern Mining in Paired Multivariate Time Series of a Controlled Driving Behavior Experiment.
ACM Trans. Spatial Algorithms Syst.
Qingzhe Li, Liang Zhao, Yi-Ching Lee, Jessica Lin
2020 — conf
Cyber-guided Deep Neural Network for Malicious Repository Detection in GitHub.
ICKG
Yiming Zhang, Yujie Fan, Shifu Hou, Yanfang Ye, Xusheng Xiao, Pan Li, Chuan Shi, Liang Zhao, Shouhuai Xu
2020 J jnl
Deep Multi-attributed Graph Translation with Node-Edge Co-evolution.
CoRR
Xiaojie Guo, Liang Zhao, Cameron Nowzari, Setareh Rafatirad, Houman Homayoun, Sai Manoj Pudukotai Dinakarrao
2020 J jnl
Disentangled Dynamic Graph Deep Generation.
CoRR
Wenbin Zhang, Liming Zhang, Dieter Pfoser, Liang Zhao
2020 J jnl
Efficient Learning with Exponentially-Many Conjunctive Precursors for Interpretable Spatial Event Forecasting.
IEEE Trans. Knowl. Data Eng.
Liang Zhao, Feng Chen, Yanfang Ye
2020 A conf
Estimating the Circuit De-obfuscation Runtime based on Graph Deep Learning.
DATE
Zhiqian Chen, Gaurav Kolhe, Setareh Rafatirad, Chang-Tien Lu, Sai Manoj P. D., Houman Homayoun, Liang Zhao
2020 J jnl
Factorized Deep Generative Models for Trajectory Generation with Spatiotemporal-Validity Constraints.
CoRR
Liming Zhang, Liang Zhao, Dieter Pfoser
2020 J jnl
FedAT: A Communication-Efficient Federated Learning Method with Asynchronous Tiers under Non-IID Data.
CoRR
Zheng Chai, Yujing Chen, Liang Zhao, Yue Cheng, Huzefa Rangwala
2020 J jnl
Generating Tertiary Protein Structures via an Interpretative Variational Autoencoder.
CoRR
Xiaojie Guo, Sivani Tadepalli, Liang Zhao, Amarda Shehu
2020 J jnl
Interpretable Deep Graph Generation with Node-Edge Co-Disentanglement.
CoRR
Xiaojie Guo, Liang Zhao, Zhao Qin, Lingfei Wu, Amarda Shehu, Yanfang Ye
2020 A* conf
Interpretable Deep Graph Generation with Node-edge Co-disentanglement.
KDD
Xiaojie Guo, Liang Zhao, Zhao Qin, Lingfei Wu, Amarda Shehu, Yanfang Ye
2020 J jnl
Machine Learning-Based Delay-Aware UAV Detection and Operation Mode Identification Over Encrypted Wi-Fi Traffic.
IEEE Trans. Inf. Forensics Secur.
Amir Alipour-Fanid, Monireh Dabaghchian, Ning Wang, Pu Wang, Liang Zhao, Kai Zeng
2020 A* conf
Metagraph Aggregated Heterogeneous Graph Neural Network for Illicit Traded Product Identification in Underground Market.
ICDM
Yujie Fan, Yanfang Ye, Qian Peng, Jianfei Zhang, Yiming Zhang, Xusheng Xiao, Chuan Shi, Qi Xiong, Fudong Shao, Liang Zhao
2020 A conf
Mitigating Cache-Based Side-Channel Attacks through Randomization: A Comprehensive System and Architecture Level Analysis.
DATE
Han Wang, Hossein Sayadi, Tinoosh Mohsenin, Liang Zhao, Avesta Sasan, Setareh Rafatirad, Houman Homayoun
2020 J jnl
Multi-instance Domain Adaptation for Vaccine Adverse Event Detection.
CoRR
Junxiang Wang, Liang Zhao
2020 J jnl
Online Decision Trees with Fairness.
CoRR
Wenbin Zhang, Liang Zhao
2020 J jnl
Online flu epidemiological deep modeling on disease contact network.
GeoInformatica
Liang Zhao, Jiangzhuo Chen, Feng Chen, Fang Jin, Wei Wang, Chang-Tien Lu, Naren Ramakrishnan
2020 A* conf
Self-Paced Robust Learning for Leveraging Clean Labels in Noisy Data.
AAAI
Xuchao Zhang, Xian Wu, Fanglan Chen, Liang Zhao, Chang-Tien Lu
2020 J jnl
TG-GAN: Deep Generative Models for Continuously-time Temporal Graph Generation.
CoRR
Liming Zhang, Liang Zhao, Shan Qin, Dieter Pfoser
2020 J jnl
Taking the pulse of COVID-19: a spatiotemporal perspective.
Int. J. Digit. Earth
Chaowei Yang, Dexuan Sha, Qian Liu, Yun Li, Hai Lan, Weihe Wendy Guan, Tao Hu, Zhenlong Li, Zhiran Zhang, John Hoot Thompson, Zifu Wang, David W. S. Wong, Shiyang Ruan, Manzhu Yu, Douglas Richardson, Luyao Zhang, Ruizhi Hou, You Zhou, Cheng Zhong, Yifei Tian, Fayez Beaini, Kyla Carte, Colin Flynn, Wei Liu, Dieter Pfoser, Shuming Bao, Mei Li, Haoyuan Zhang, Chunbo Liu, Jie Jiang, Shihong Du, Liang Zhao, Mingyue Lu, Lin Li, Huan Zhou, Andrew Ding
2020 A* conf
Toward Model Parallelism for Deep Neural Network based on Gradient-free ADMM Framework.
ICDM
Junxiang Wang, Zheng Chai, Yue Cheng, Liang Zhao
2020 J jnl
Tunable Subnetwork Splitting for Model-parallelism of Neural Network Training.
CoRR
Junxiang Wang, Zheng Chai, Yue Cheng, Liang Zhao
2019 A* conf
ADMM for Efficient Deep Learning with Global Convergence.
KDD
Junxiang Wang, Fuxun Yu, Xiang Chen, Liang Zhao
2019 J jnl
ADMM for Efficient Deep Learning with Global Convergence.
CoRR
Junxiang Wang, Fuxun Yu, Xiang Chen, Liang Zhao
2019 J jnl
BEAN: Interpretable Representation Learning with Biologically-Enhanced Artificial Neuronal Assembly Regularization.
CoRR
Yuyang Gao, Giorgio A. Ascoli, Liang Zhao
2019 J jnl
CircConv: A Structured Convolution with Low Complexity.
CoRR
Siyu Liao, Zhe Li, Liang Zhao, Qinru Qiu, Yanzhi Wang, Bo Yuan
2019 A* conf
Contrast Feature Dependency Pattern Mining for Controlled Experiments with Application to Driving Behavior.
ICDM
Qingzhe Li, Liang Zhao, Yi-Ching Lee, Yanfang Ye, Jessica Lin, Lingfei Wu
2019 A* conf
Deep Multi-attributed Graph Translation with Node-Edge Co-Evolution.
ICDM
Xiaojie Guo, Liang Zhao, Cameron Nowzari, Setareh Rafatirad, Houman Homayoun, Sai Manoj Pudukotai Dinakarrao
2019 A* conf
DynGraph2Seq: Dynamic-Graph-to-Sequence Interpretable Learning for Health Stage Prediction in Online Health Forums.
ICDM
Yuyang Gao, Lingfei Wu, Houman Homayoun, Liang Zhao
2019 J jnl
DynGraph2Seq: Dynamic-Graph-to-Sequence Interpretable Learning for Health Stage Prediction in Online Health Forums.
CoRR
Yuyang Gao, Lingfei Wu, Houman Homayoun, Liang Zhao
2019 B conf
ECoST: Energy-Efficient Co-Locating and Self-Tuning MapReduce Applications.
ICPP
Maria Malik, Hassan Ghasemzadeh, Tinoosh Mohsenin, Rosario Cammarota, Liang Zhao, Avesta Sasan, Houman Homayoun, Setareh Rafatirad
2019 A* conf
Efficient Global String Kernel with Random Features: Beyond Counting Substructures.
KDD
Lingfei Wu, Ian En-Hsu Yen, Siyu Huo, Liang Zhao, Kun Xu, Liang Ma, Shouling Ji, Charu C. Aggarwal
2019 J jnl
Efficient Global String Kernel with Random Features: Beyond Counting Substructures.
CoRR
Lingfei Wu, Ian En-Hsu Yen, Siyu Huo, Liang Zhao, Kun Xu, Liang Ma, Shouling Ji, Charu C. Aggarwal
2019 J jnl
Estimating the Circuit Deobfuscating Runtime based on Graph Deep Learning.
CoRR
Zhiqian Chen, Gaurav Kolhe, Setareh Rafatirad, Sai Manoj P. D., Houman Homayoun, Liang Zhao, Chang-Tien Lu
2019 J jnl
GeoAI 2019 workshop report: The 3nd ACM SIGSPATIAL International Workshop on GeoAI: AI for Geographic Knowledge Discovery: Seattle, WA, USA - November 5, 2019.
ACM SIGSPATIAL Special
Song Gao, Shawn D. Newsam, Liang Zhao, Dalton D. Lunga, Yingjie Hu, Bruno Martins, Xun Zhou, Feng Chen
2019 A* conf
Incomplete Label Multi-Task Deep Learning for Spatio-Temporal Event Subtype Forecasting.
AAAI
Yuyang Gao, Liang Zhao, Lingfei Wu, Yanfang Ye, Hui Xiong, Chaowei Yang
2019 A* conf
Interpreting and Evaluating Neural Network Robustness.
IJCAI
Fuxun Yu, Zhuwei Qin, Chenchen Liu, Liang Zhao, Yanzhi Wang, Xiang Chen
2019 J jnl
Interpreting and Evaluating Neural Network Robustness.
CoRR
Fuxun Yu, Zhuwei Qin, Chenchen Liu, Liang Zhao, Yanzhi Wang, Xiang Chen
2019 A conf
Key Player Identification in Underground Forums over Attributed Heterogeneous Information Network Embedding Framework.
CIKM
Yiming Zhang, Yujie Fan, Yanfang Ye, Liang Zhao, Chuan Shi
2019 A* conf
Linear Time Complexity Time Series Clustering with Symbolic Pattern Forest.
IJCAI
Xiaosheng Li, Jessica Lin, Liang Zhao
2019 — conf
Machine Learning-Based Delay-Aware UAV Detection Over Encrypted Wi-Fi Traffic.
CNS
Amir Alipour-Fanid, Monireh Dabaghchian, Ning Wang, Pu Wang, Liang Zhao, Kai Zeng
2019 J jnl
Machine Learning-Based Delay-Aware UAV Detection and Operation Mode Identification over Encrypted Wi-Fi Traffic.
CoRR
Amir Alipour-Fanid, Monireh Dabaghchian, Ning Wang, Pu Wang, Liang Zhao, Kai Zeng
2019 A conf
Multi-stage Deep Classifier Cascades for Open World Recognition.
CIKM
Xiaojie Guo, Amir Alipour-Fanid, Lingfei Wu, Hemant Purohit, Xiang Chen, Kai Zeng, Liang Zhao
2019 J jnl
Multi-stage Deep Classifier Cascades for Open World Recognition.
CoRR
Xiaojie Guo, Amir Alipour-Fanid, Lingfei Wu, Hemant Purohit, Xiang Chen, Kai Zeng, Liang Zhao
2019 — ed.
Proceedings of the 3rd ACM SIGSPATIAL International Workshop on AI for Geographic Knowledge Discovery, GeoAI@SIGSPATIAL 2019, Chicago, IL, USA, November 5, 2019.
GeoAI@SIGSPATIAL
Song Gao, Shawn D. Newsam, Liang Zhao, Dalton D. Lunga, Yingjie Hu, Bruno Martins, Xun Zhou, Feng Chen
2019 J jnl
Pyramid: Machine Learning Framework to Estimate the Optimal Timing and Resource Usage of a High-Level Synthesis Design.
CoRR
Hosein Mohammadi Makrani, Farnoud Farahmand, Hossein Sayadi, Sara Bondi, Sai Manoj Pudukotai Dinakarrao, Liang Zhao, Avesta Sasan, Houman Homayoun, Setareh Rafatirad
2019 J jnl
Robust Regression via Heuristic Corruption Thresholding and Its Adaptive Estimation Variation.
ACM Trans. Knowl. Discov. Data
Xuchao Zhang, Shuo Lei, Liang Zhao, Arnold P. Boedihardjo, Chang-Tien Lu
2019 J jnl
Robust Regression via Online Feature Selection under Adversarial Data Corruption.
CoRR
Xuchao Zhang, Shuo Lei, Liang Zhao, Arnold P. Boedihardjo, Chang-Tien Lu
2019 A* conf
Scalable Global Alignment Graph Kernel Using Random Features: From Node Embedding to Graph Embedding.
KDD
Lingfei Wu, Ian En-Hsu Yen, Zhen Zhang, Kun Xu, Liang Zhao, Xi Peng, Yinglong Xia, Charu C. Aggarwal
2019 J jnl
Scalable Global Alignment Graph Kernel Using Random Features: From Node Embedding to Graph Embedding.
CoRR
Lingfei Wu, Ian En-Hsu Yen, Zhen Zhang, Kun Xu, Liang Zhao, Xi Peng, Yinglong Xia, Charu C. Aggarwal
2019 J jnl
Spatial Auto-regressive Dependency Interpretable Learning Based on Spatial Topological Constraints.
ACM Trans. Spatial Algorithms Syst.
Liang Zhao, Olga Gkountouna, Dieter Pfoser
2019 A* conf
Spatio-temporal Event Forecasting and Precursor Identification.
KDD
Yue Ning, Liang Zhao, Feng Chen, Chang-Tien Lu, Huzefa Rangwala
2019 — conf
TITAN: A Spatiotemporal Feature Learning Framework for Traffic Incident Duration Prediction.
SIGSPATIAL/GIS
Kaiqun Fu, Taoran Ji, Liang Zhao, Chang-Tien Lu
2019 J jnl
TITAN: A Spatiotemporal Feature Learning Framework for Traffic Incident Duration Prediction.
CoRR
Kaiqun Fu, Taoran Ji, Liang Zhao, Chang-Tien Lu
2019 A* conf
Universal Approximation Property and Equivalence of Stochastic Computing-Based Neural Networks and Binary Neural Networks.
AAAI
Yanzhi Wang, Zheng Zhan, Liang Zhao, Jian Tang, Siyue Wang, Jiayu Li, Bo Yuan, Wujie Wen, Xue Lin
2019 A* conf
Your Style Your Identity: Leveraging Writing and Photography Styles for Drug Trafficker Identification in Darknet Markets over Attributed Heterogeneous Information Network.
WWW
Yiming Zhang, Yujie Fan, Wei Song, Shifu Hou, Yanfang Ye, Xin Li, Liang Zhao, Chuan Shi, Jiabin Wang, Qi Xiong
2019 A* conf
iDev: Enhancing Social Coding Security by Cross-platform User Identification Between GitHub and Stack Overflow.
IJCAI
Yujie Fan, Yiming Zhang, Shifu Hou, Lingwei Chen, Yanfang Ye, Chuan Shi, Liang Zhao, Shouhuai Xu
2019 B conf
iTrustSO: an intelligent system for automatic detection of insecure code snippets in stack overflow.
ASONAM
Lingwei Chen, Shifu Hou, Yanfang Ye, Thirimachos Bourlai, Shouhuai Xu, Liang Zhao
2018 J jnl
2nd ACM SIGSPATIAL workshop on analytics for local events and news (LENS 2018) seattle, washington, USA - November 6, 2018.
ACM SIGSPATIAL Special
Amr Magdy, Xun Zhou, Liang Zhao, Yan Huang
2018 J jnl
Adverse event detection by integrating twitter data and VAERS.
J. Biomed. Semant.
Junxiang Wang, Liang Zhao, Yanfang Ye, Yuji Zhang
2018 J jnl
Deep Graph Translation.
CoRR
Xiaojie Guo, Lingfei Wu, Liang Zhao
2018 A* conf
Distant-Supervision of Heterogeneous Multitask Learning for Social Event Forecasting With Multilingual Indicators.
AAAI
Liang Zhao, Junxiang Wang, Xiaojie Guo
2018 A* conf
Distributed Self-Paced Learning in Alternating Direction Method of Multipliers.
IJCAI
Xuchao Zhang, Liang Zhao, Zhiqian Chen, Chang-Tien Lu
2018 J jnl
Distributed Self-Paced Learning in Alternating Direction Method of Multipliers.
CoRR
Xuchao Zhang, Liang Zhao, Zhiqian Chen, Chang-Tien Lu
2018 — conf
Forecasting Gang Homicides with Multi-level Multi-task Learning.
SBP-BRiMS
Nasrin Akhter, Liang Zhao, Desmond Arias, Huzefa Rangwala, Naren Ramakrishnan
2018 A conf
ICSD: An Automatic System for Insecure Code Snippet Detection in Stack Overflow over Heterogeneous Information Network.
ACSAC
Yanfang Ye, Shifu Hou, Lingwei Chen, Xin Li, Liang Zhao, Shouhuai Xu, Jiabin Wang, Qi Xiong
2018 A* conf
Incomplete Label Multi-Task Ordinal Regression for Spatial Event Scale Forecasting.
AAAI
Yuyang Gao, Liang Zhao
2018 A* conf
Incomplete Label Uncertainty Estimation for Petition Victory Prediction with Dynamic Features.
ICDM
Junxiang Wang, Yuyang Gao, Andreas Züfle, Jingyuan Yang, Liang Zhao
2018 J jnl
Interpretable Convolutional Filter Pruning.
CoRR
Zhuwei Qin, Fuxun Yu, Chenchen Liu, Liang Zhao, Xiang Chen
2018 J jnl
Interpreting Adversarial Robustness: A View from Decision Surface in Input Space.
CoRR
Fuxun Yu, Chenchen Liu, Yanzhi Wang, Liang Zhao, Xiang Chen
2018 — conf
KADetector: Automatic Identification of Key Actors in Online Hack Forums Based on Structured Heterogeneous Information Network.
ICBK
Yiming Zhang, Yujie Fan, Yanfang Ye, Liang Zhao, Jiabin Wang, Qi Xiong, Fudong Shao
2018 — conf
Local Event Forecasting and Synthesis Using Unpaired Deep Graph Translations.
LENS@SIGSPATIAL
Yuyang Gao, Xiaojie Guo, Liang Zhao
2018 A* conf
Multi-instance Domain Adaptation for Vaccine Adverse Event Detection.
WWW
Junxiang Wang, Liang Zhao
2018 J jnl
On the Universal Approximation Property and Equivalence of Stochastic Computing-based Neural Networks and Binary Neural Networks.
CoRR
Yanzhi Wang, Zheng Zhan, Jiayu Li, Jian Tang, Bo Yuan, Liang Zhao, Wujie Wen, Siyue Wang, Xue Lin
2018 A* conf
Prediction-time Efficient Classification Using Feature Computational Dependencies.
KDD
Liang Zhao, Amir Alipour-Fanid, Martin Slawski, Kai Zeng
2018 — ed.
Proceedings of the 2nd ACM SIGSPATIAL Workshop on Analytics for Local Events and News, SIGSPATIAL 2018, Seattle, WA, USA, November 6, 2018
LENS@SIGSPATIAL
Amr Magdy, Xun Zhou, Liang Zhao, Yan Huang
2018 A* conf
Robust Regression via Online Feature Selection Under Adversarial Data Corruption.
ICDM
Xuchao Zhang, Shuo Lei, Liang Zhao, Arnold P. Boedihardjo, Chang-Tien Lu
2018 — conf
Semi-supervised Multi-instance Interpretable Models for Flu Shot Adverse Event Detection.
IEEE BigData
Junxiang Wang, Liang Zhao, Yanfang Ye
2018 — conf
Situation-Based Interpretable Learning for Personality Prediction in Social Media.
IEEE BigData
Lei Zhang, Liang Zhao, Xuchao Zhang, Wenmo Kong, Zitong Sheng, Chang-Tien Lu
2018 A* conf
Social Media based Simulation Models for Understanding Disease Dynamics.
IJCAI
Ting Hua, Chandan K. Reddy, Lei Zhang, Lijing Wang, Liang Zhao, Chang-Tien Lu, Naren Ramakrishnan
2017 A* conf
A Generic Framework for Interesting Subspace Cluster Detection in Multi-attributed Networks.
ICDM
Feng Chen, Baojian Zhou, Adil Alim, Liang Zhao
2017 J jnl
A Generic Framework for Interesting Subspace Cluster Detection in Multi-attributed Networks.
CoRR
Feng Chen, Baojian Zhou, Adil Alim, Liang Zhao
2017 — conf
A Uniform Representation for Trajectory Learning Tasks.
SIGSPATIAL/GIS
Qingzhe Li, Jessica Lin, Liang Zhao, Huzefa Rangwala
2017 — conf
A natural language normalization approach to enhance social media text reasoning.
IEEE BigData
Long Hoang Nguyen, Andrew Salopek, Liang Zhao, Fang Jin
2017 A* conf
Determining Relative Airport Threats from News and Social Media.
AAAI
Rupinder Paul Khandpur, Taoran Ji, Yue Ning, Liang Zhao, Chang-Tien Lu, Erik R. Smith, Christopher Adams, Naren Ramakrishnan
2017 J jnl
Feature Constrained Multi-Task Learning Models for Spatiotemporal Event Forecasting.
IEEE Trans. Knowl. Data Eng.
Liang Zhao, Qian Sun, Jieping Ye, Feng Chen, Chang-Tien Lu, Naren Ramakrishnan
2017 — conf
Modeling and Prediction of People's Needs (Vision Paper).
LENS@SIGSPATIAL
Renee Li, Andreas Züfle, Liang Zhao, Georgios Lamprianidis
2017 A* conf
Online and Distributed Robust Regressions Under Adversarial Data Corruption.
ICDM
Xuchao Zhang, Liang Zhao, Arnold P. Boedihardjo, Chang-Tien Lu
2017 J jnl
Online and Distributed Robust Regressions under Adversarial Data Corruption.
CoRR
Xuchao Zhang, Liang Zhao, Arnold P. Boedihardjo, Chang-Tien Lu
2017 A* conf
Robust Regression via Heuristic Hard Thresholding.
IJCAI
Xuchao Zhang, Liang Zhao, Arnold P. Boedihardjo, Chang-Tien Lu
2017 J jnl
Spatial Event Forecasting in Social Media With Geographically Hierarchical Regularization.
Proc. IEEE
Liang Zhao, Junxiang Wang, Feng Chen, Chang-Tien Lu, Naren Ramakrishnan
2017 A conf
Spatiotemporal Event Forecasting from Incomplete Hyper-local Price Data.
CIKM
Xuchao Zhang, Liang Zhao, Arnold P. Boedihardjo, Chang-Tien Lu, Naren Ramakrishnan
2017 — conf
TRACES: Generating Twitter stories via shared subspace and temporal smoothness.
IEEE BigData
Xuchao Zhang, Zhiqian Chen, Liang Zhao, Arnold P. Boedihardjo, Chang-Tien Lu
2017 A* conf
Theoretical Properties for Neural Networks with Weight Matrices of Low Displacement Rank.
ICML
Liang Zhao, Siyu Liao, Yanzhi Wang, Zhe Li, Jian Tang, Bo Yuan
2017 J jnl
Theoretical Properties for Neural Networks with Weight Matrices of Low Displacement Rank.
CoRR
Liang Zhao, Siyu Liao, Yanzhi Wang, Jian Tang, Bo Yuan
2017 — conf
Trendi: Tracking stories in news and microblogs via emerging, evolving and fading topics.
IEEE BigData
Xuchao Zhang, Liang Zhao, Zhiqian Chen, Arnold P. Boedihardjo, Jing Dai, Chang-Tien Lu
2016 J jnl
A Framework for Discovering Evolving Domain Related Spatio-Temporal Patterns in Twitter.
ISPRS Int. J. Geo Inf.
Yan Shi, Min Deng, Xuexi Yang, Qiliang Liu, Liang Zhao, Chang-Tien Lu
2016 J jnl
A topic-focused trust model for Twitter.
Comput. Commun.
Liang Zhao, Ting Hua, Chang-Tien Lu, Ing-Ray Chen
2016 J jnl
Automatic targeted-domain spatiotemporal event detection in twitter.
GeoInformatica
Ting Hua, Feng Chen, Liang Zhao, Chang-Tien Lu, Naren Ramakrishnan
2016 A* conf
EMBERS at 4 years: Experiences operating an Open Source Indicators Forecasting System.
KDD
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 J jnl
EMBERS at 4 years: Experiences operating an Open Source Indicators Forecasting System.
CoRR
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 Gupta, David Mares, Naren Ramakrishnan
2016 A* conf
Hierarchical Incomplete Multi-source Feature Learning for Spatiotemporal Event Forecasting.
KDD
Liang Zhao, Jieping Ye, Feng Chen, Chang-Tien Lu, Naren Ramakrishnan
2016 A* conf
Multi-resolution Spatial Event Forecasting in Social Media.
ICDM
Liang Zhao, Feng Chen, Chang-Tien Lu, Naren Ramakrishnan
2016 J jnl
Online Spatial Event Forecasting in Microblogs.
ACM Trans. Spatial Algorithms Syst.
Liang Zhao, Feng Chen, Chang-Tien Lu, Naren Ramakrishnan
2016 — —
Spatio-temporal Event Detection and Forecasting in Social Media.
Liang Zhao
2015 — conf
Dynamic theme tracking in Twitter.
IEEE BigData
Liang Zhao, Feng Chen, Chang-Tien Lu, Naren Ramakrishnan
2015 J jnl
How events unfold: spatiotemporal mining in social media.
ACM SIGSPATIAL Special
Ting Hua, Liang Zhao, Feng Chen, Chang-Tien Lu, Naren Ramakrishnan
2015 A* conf
Multi-Task Learning for Spatio-Temporal Event Forecasting.
KDD
Liang Zhao, Qian Sun, Jieping Ye, Feng Chen, Chang-Tien Lu, Naren Ramakrishnan
2015 A* conf
SimNest: Social Media Nested Epidemic Simulation via Online Semi-Supervised Deep Learning.
ICDM
Liang Zhao, Jiangzhuo Chen, Feng Chen, Wei Wang, Chang-Tien Lu, Naren Ramakrishnan
2015 A conf
Spatiotemporal Event Forecasting in Social Media.
SDM
Liang Zhao, Feng Chen, Chang-Tien Lu, Naren Ramakrishnan
2014 J jnl
'Beating the news' with EMBERS: Forecasting Civil Unrest using Open Source Indicators.
CoRR
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
2014 A* conf
'Beating the news' with EMBERS: forecasting civil unrest using open source indicators.
KDD
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
2014 J jnl
Forecasting Significant Societal Events Using The Embers Streaming Predictive Analytics System.
Big Data
Andy Doyle, Graham Katz, Kristen Maria Summers, Chris Ackermann, Ilya Zavorin, Zunsik Lim, Sathappan Muthiah, Patrick Butler, Nathan Self, Liang Zhao, Chang-Tien Lu, Rupinder Paul Khandpur, Youssef Fayed, Naren Ramakrishnan
2014 J jnl
Misinformation Propagation in the Age of Twitter.
Computer
Fang Jin, Wei Wang, Liang Zhao, Edward R. Dougherty, Yang Cao, Chang-Tien Lu, Naren Ramakrishnan
2014 — conf
The EMBERS architecture for streaming predictive analytics.
IEEE BigData
Andy Doyle, Graham Katz, Kristen Maria Summers, Chris Ackermann, Ilya Zavorin, Zunsik Lim, Sathappan Muthiah, Liang Zhao, Chang-Tien Lu, Patrick Butler, Rupinder Paul Khandpur, Youssef Fayed, Naren Ramakrishnan
2013 A* conf
STED: semi-supervised targeted-interest event detectionin in twitter.
KDD
Ting Hua, Feng Chen, Liang Zhao, Chang-Tien Lu, Naren Ramakrishnan