Liang Zhao

ORCID

Publication Activity (10 Years)

Years Active: 2013-2024
Publications (10 Years): 212

Top Venues

Publications

Guangji Bai, Zheng Chai, Chen Ling, Shiyu Wang, Jiaying Lu, Nan Zhang, Tingwei Shi, Ziyang Yu, Mengdan Zhu, Yifei Zhang, Carl J. Yang, Yue Cheng, Liang Zhao
Beyond Efficiency: A Systematic Survey of Resource-Efficient Large Language Models. CoRR (2024)
Qilong Zhao, Yifei Zhang, Mengdan Zhu, Siyi Gu, Yuyang Gao, Xiaofeng Yang, Liang Zhao
DUE: Dynamic Uncertainty-Aware Explanation Supervision via 3D Imputation. CoRR (2024)
Shiyu Wang, Yuanqi Du, Xiaojie Guo, Bo Pan, Zhaohui S. Qin, Liang Zhao
Controllable Data Generation by Deep Learning: A Review. ACM Comput. Surv. 56 (9) (2024)
Mengdan Zhu, Raasikh Kanjiani, Jiahui Lu, Andrew Choi, Qirui Ye, Liang Zhao
LatentExplainer: Explaining Latent Representations in Deep Generative Models with Multi-modal Foundation Models. CoRR (2024)
Dazhou Yu, Xiaoyun Gong, Yun Li, Meikang Qiu, Liang Zhao
Self-consistent Deep Geometric Learning for Heterogeneous Multi-source Spatial Point Data Prediction. CoRR (2024)
Dazhou Yu, Xiaoyun Gong, Yun Li, Meikang Qiu, Liang Zhao
Self-consistent Deep Geometric Learning for Heterogeneous Multi-source Spatial Point Data Prediction. KDD (2024)
Zheng Zhang, Sirui Li, Jingcheng Zhou, Junxiang Wang, Abhinav Angirekula, Allen Zhang, Liang Zhao
Non-Euclidean Spatial Graph Neural Network. SDM (2024)
Zhe Jiang, Liang Zhao, Xun Zhou, Junbo Zhang, Shashi Shekhar, Jieping Ye
The 4th KDD Workshop on Deep Learning for Spatiotemporal Data, Applications, and Systems (DeepSpatial'24). KDD (2024)
Nguyen Do, Tanmoy Chowdhury, Chen Ling, Liang Zhao, My T. Thai
MIM-Reasoner: Learning with Theoretical Guarantees for Multiplex Influence Maximization. CoRR (2024)
Zheng Zhang, Liang Zhao
Self-Similar Graph Neural Network for Hierarchical Graph Learning. SDM (2024)
Chen Ling, Zhuofeng Li, Yuntong Hu, Zheng Zhang, Zhongyuan Liu, Shuang Zheng, Liang Zhao
Link Prediction on Textual Edge Graphs. CoRR (2024)
Zhuofeng Li, Zixing Gou, Xiangnan Zhang, Zhongyuan Liu, Sirui Li, Yuntong Hu, Chen Ling, Zheng Zhang, Liang Zhao
TEG-DB: A Comprehensive Dataset and Benchmark of Textual-Edge Graphs. CoRR (2024)
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
Uncertainty Quantification for In-Context Learning of Large Language Models. NAACL-HLT (2024)
Yifei Zhang, Bo Pan, Chen Ling, Yuntong Hu, Liang Zhao
ELAD: Explanation-Guided Large Language Models Active Distillation. ACL (Findings) (2024)
Guangji Bai, Yijiang Li, Chen Ling, Kibaek Kim, Liang Zhao
Gradient-Free Adaptive Global Pruning for Pre-trained Language Models. CoRR (2024)
Bo Pan, Zheng Zhang, Yifei Zhang, Yuntong Hu, Liang Zhao
Distilling Large Language Models for Text-Attributed Graph Learning. CoRR (2024)
Negar Etemadyrad, Yuyang Gao, Qingzhe Li, Xiaojie Guo, Frank Krueger, Qixiang Lin, Deqiang Qiu, Liang Zhao
Functional Connectivity Prediction With Deep Learning for Graph Transformation. IEEE Trans. Neural Networks Learn. Syst. 35 (4) (2024)
Junxiang Wang, Hongyi Li, Zheng Chai, Yongchao Wang, Yue Cheng, Liang Zhao
Toward Quantized Model Parallelism for Graph-Augmented MLPs Based on Gradient-Free ADMM Framework. IEEE Trans. Neural Networks Learn. Syst. 35 (4) (2024)
Chen Ling, Tanmoy Chowdhury, Jie Ji, Sirui Li, Andreas Züfle, Liang Zhao
Source Localization for Cross Network Information Diffusion. KDD (2024)
Nahyun Kwon, Tong Steven Sun, Yuyang Gao, Liang Zhao, Xu Wang, Jeeeun Kim, Sungsoo Ray Hong
3DPFIX: Improving Remote Novices' 3D Printing Troubleshooting through Human-AI Collaboration Design. Proc. ACM Hum. Comput. Interact. 8 (CSCW1) (2024)
Zhiqian Chen, Fanglan Chen, Lei Zhang, Taoran Ji, Kaiqun Fu, Liang Zhao, Feng Chen, Lingfei Wu, Charu Aggarwal, Chang-Tien Lu
Bridging the Gap between Spatial and Spectral Domains: A Unified Framework for Graph Neural Networks. ACM Comput. Surv. 56 (5) (2024)
Zheng Zhang, Yuntong Hu, Bo Pan, Chen Ling, Liang Zhao
TAGA: Text-Attributed Graph Self-Supervised Learning by Synergizing Graph and Text Mutual Transformations. CoRR (2024)
Junxiang Wang, Guangji Bai, Wei Cheng, Zhengzhang Chen, Liang Zhao, Haifeng Chen
POND: Multi-Source Time Series Domain Adaptation with Information-Aware Prompt Tuning. KDD (2024)
Dazhou Yu, Yuntong Hu, Yun Li, Liang Zhao
PolygonGNN: Representation Learning for Polygonal Geometries with Heterogeneous Visibility Graph. CoRR (2024)
Nahyun Kwon, Tong Sun, Yuyang Gao, Liang Zhao, Xu Wang, Jeeeun Kim, Sungsoo Ray Hong
3DPFIX: Improving Remote Novices' 3D Printing Troubleshooting through Human-AI Collaboration. CoRR (2024)
Yifei Zhang, Bo Pan, Chen Ling, Yuntong Hu, Liang Zhao
ELAD: Explanation-Guided Large Language Models Active Distillation. CoRR (2024)
Zheng Zhang, Fan Yang, Ziyan Jiang, Zheng Chen, Zhengyang Zhao, Chengyuan Ma, Liang Zhao, Yang Liu
Position-Aware Parameter Efficient Fine-Tuning Approach for Reducing Positional Bias in LLMs. CoRR (2024)
Qilong Zhao, Yifei Zhang, Mengdan Zhu, Siyi Gu, Yuyang Gao, Xiaofeng Yang, Liang Zhao
DUE: Dynamic Uncertainty-Aware Explanation Supervision via 3D Imputation. KDD (2024)
Junruo Gao, Chen Ling, Carl Yang, Liang Zhao
Helper Recommendation with seniority control in Online Health Community. SDM (2024)
Zekun Cai, Guangji Bai, Renhe Jiang, Xuan Song, Liang Zhao
Continuous Temporal Domain Generalization. CoRR (2024)
Dazhou Yu, Binbin Chen, Yun Li, Suman Dhakal, Yifei Zhang, Zhenke Liu, Minxing Zhang, Jie Zhang, Liang Zhao
STES: A Spatiotemporal Explanation Supervision Framework. SDM (2024)
Junji Jiang, Chen Ling, Hongyi Li, Guangji Bai, Xujiang Zhao, Liang Zhao
Quantifying uncertainty in graph neural network explanations. Frontiers Big Data 7 (2024)
Nguyen Hoang Khoi Do, Tanmoy Chowdhury, Chen Ling, Liang Zhao, My T. Thai
MIM-Reasoner: Learning with Theoretical Guarantees for Multiplex Influence Maximization. AISTATS (2024)
Yuntong Hu, Zhihan Lei, Zheng Zhang, Bo Pan, Chen Ling, Liang Zhao
GRAG: Graph Retrieval-Augmented Generation. CoRR (2024)
Yuyang Gao, Siyi Gu, Junji Jiang, Sungsoo Ray Hong, Dazhou Yu, Liang Zhao
Going Beyond XAI: A Systematic Survey for Explanation-Guided Learning. ACM Comput. Surv. 56 (7) (2024)
Chen Ling, Tanmoy Chowdhury, Jie Ji, Sirui Li, Andreas Züfle, Liang Zhao
Source Localization for Cross Network Information Diffusion. CoRR (2024)
Junruo Gao, Chen Ling, Carl Yang, Liang Zhao
Helper Recommendation with seniority control in Online Health Community. CoRR (2023)
Zishan Gu, Ke Zhang, Guangji Bai, Liang Chen, Liang Zhao, Carl Yang
Dynamic Activation of Clients and Parameters for Federated Learning over Heterogeneous Graphs. ICDE (2023)
Guangji Bai, Johnny Torres, Junxiang Wang, Liang Zhao, Cristina L. Abad, Carmen Vaca
Sign-Regularized Multi-Task Learning. SDM (2023)
Siyi Gu, Yifei Zhang, Yuyang Gao, Xiaofeng Yang, Liang Zhao
ESSA: Explanation Iterative Supervision via Saliency-guided Data Augmentation. KDD (2023)
Xiaojie Guo, Lingfei Wu, Liang Zhao
Deep Graph Translation. IEEE Trans. Neural Networks Learn. Syst. 34 (11) (2023)
Guangji Bai, Chen Ling, Liang Zhao
Temporal Domain Generalization with Drift-Aware Dynamic Neural Networks. ICLR (2023)
Tong Steven Sun, Yuyang Gao, Shubham Khaladkar, Sijia Liu, Liang Zhao, Young-Ho Kim, Sungsoo Ray Hong
Designing a Direct Feedback Loop between Humans and Convolutional Neural Networks through Local Explanations. CoRR (2023)
Guangji Bai, Qilong Zhao, Xiaoyang Jiang, Yifei Zhang, Liang Zhao
Saliency-Guided Hidden Associative Replay for Continual Learning. CoRR (2023)
Yuyang Gao, Tanmoy Chowdhury, Lingfei Wu, Liang Zhao
Modeling Health Stage Development of Patients With Dynamic Attributed Graphs in Online Health Communities. IEEE Trans. Knowl. Data Eng. 35 (2) (2023)
Chen Ling, Carl Yang, Liang Zhao
Motif-guided heterogeneous graph deep generation. Knowl. Inf. Syst. 65 (7) (2023)
Guangji Bai, Ziyang Yu, Zheng Chai, Yue Cheng, Liang Zhao
Staleness-Alleviated Distributed GNN Training via Online Dynamic-Embedding Prediction. CoRR (2023)
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)
Yifei Zhang, Siyi Gu, Bo Pan, Guangji Bai, Xiaofeng Yang, Liang Zhao
Visual Attention-Prompted Prediction and Learning. CoRR (2023)
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 Heisl, 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
Artificial Intelligence for Climate Smart Forestry: A Forward Looking Vision. CogMI (2023)
Yifei Zhang, Siyi Gu, Yuyang Gao, Bo Pan, Xiaofeng Yang, Liang Zhao
MAGI: Multi-Annotated Explanation-Guided Learning. ICCV (2023)
Xiaojie Guo, Liang Zhao
A Systematic Survey on Deep Generative Models for Graph Generation. IEEE Trans. Pattern Anal. Mach. Intell. 45 (5) (2023)
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
Beyond One-Model-Fits-All: A Survey of Domain Specialization for Large Language Models. CoRR (2023)
Lingfei Wu, Peng Cui, Jian Pei, Liang Zhao, Xiaojie Guo
Graph Neural Networks: Foundation, Frontiers and Applications. KDD (2023)
Guangji Bai, Chen Ling, Yuyang Gao, Liang Zhao
Saliency-Augmented Memory Completion for Continual Learning. SDM (2023)
Minxing Zhang, Dazhou Yu, Yun Li, Liang Zhao
Deep Spatial Prediction via Heterogeneous Multi-source Self-supervision. ACM Trans. Spatial Algorithms Syst. 9 (3) (2023)
Tong Steven Sun, Yuyang Gao, Shubham Khaladkar, Sijia Liu, Liang Zhao, Young-Ho Kim, Sungsoo Ray Hong
Designing a Direct Feedback Loop between Humans and Convolutional Neural Networks through Local Explanations. Proc. ACM Hum. Comput. Interact. 7 (CSCW2) (2023)
Shiyu Wang, Xiaojie Guo, Xuanyang Lin, Bo Pan, Yuanqi Du, Yinkai Wang, Yanfang Ye, Ashley Ann Petersen, Austin Leitgeb, Saleh AlKhalifa, Kevin Minbiole, William Wuest, Amarda Shehu, Liang Zhao
Multi-objective Deep Data Generation with Correlated Property Control. CoRR (2022)
Junxiang Wang, Junji Jiang, Liang Zhao
An Invertible Graph Diffusion Neural Network for Source Localization. WWW (2022)
Guangji Bai, Liang Zhao
Saliency-Regularized Deep Multi-Task Learning. KDD (2022)
Shiyu Wang, Yuanqi Du, Xiaojie Guo, Bo Pan, Liang Zhao
Controllable Data Generation by Deep Learning: A Review. CoRR (2022)
Lei Zhang, Zhiqian Chen, Chang-Tien Lu, Liang Zhao
From "Dynamics on Graphs" to "Dynamics of Graphs": An Adaptive Echo-State Network Solution (Student Abstract). AAAI (2022)
Guangji Bai, Ling Chen, Liang Zhao
Temporal Domain Generalization with Drift-Aware Dynamic Neural Network. CoRR (2022)
Yuyang Gao, Tong Steven Sun, Liang Zhao, Sungsoo Ray Hong
Aligning Eyes between Humans and Deep Neural Network through Interactive Attention Alignment. Proc. ACM Hum. Comput. Interact. 6 (CSCW2) (2022)
Mingxuan Ju, Shifu Hou, Yujie Fan, Jianan Zhao, Yanfang Ye, Liang Zhao
Adaptive Kernel Graph Neural Network. AAAI (2022)
Yuanqi Du, Xiaojie Guo, Hengning Cao, Yanfang Ye, Liang Zhao
Disentangled Spatiotemporal Graph Generative Models. AAAI (2022)
Yuyang Gao, Tong Sun, Liang Zhao, Sungsoo Hong
Aligning Eyes between Humans and Deep Neural Network through Interactive Attention Alignment. CoRR (2022)
Yuyang Gao, Tong Steven Sun, Guangji Bai, Siyi Gu, Sungsoo Ray Hong, Liang Zhao
RES: A Robust Framework for Guiding Visual Explanation. KDD (2022)
Liming Zhang, Liang Zhao, Dieter Pfoser
Factorized deep generative models for end-to-end trajectory generation with spatiotemporal validity constraints. SIGSPATIAL/GIS (2022)
Yuanqi Du, Xiaojie Guo, Amarda Shehu, Liang Zhao
Interpretable Molecular Graph Generation via Monotonic Constraints. SDM (2022)
Lingfei Wu, Peng Cui, Jian Pei, Liang Zhao, Xiaojie Guo
Graph Neural Networks: Foundation, Frontiers and Applications. KDD (2022)
Mingxuan Ju, Yujie Fan, Yanfang Ye, Liang Zhao
Black-box Node Injection Attack for Graph Neural Networks. CoRR (2022)
Yuyang Gao, Tong Steven Sun, Guangji Bai, Siyi Gu, Sungsoo Ray Hong, Liang Zhao
RES: A Robust Framework for Guiding Visual Explanation. CoRR (2022)
Guangji Bai, Liang Zhao
Saliency-Regularized Deep Multi-Task Learning. CoRR (2022)
Tanmoy Chowdhury, Ashkan Vakil, Banafsheh Saber Latibari, Seyed Aresh Beheshti Shirazi, Ali Mirzaeian, Xiaojie Guo, Sai Manoj P. D., Houman Homayoun, Ioannis Savidis, Liang Zhao, Avesta Sasan
RAPTA: A Hierarchical Representation Learning Solution For Real-Time Prediction of Path-Based Static Timing Analysis. ACM Great Lakes Symposium on VLSI (2022)
Chen Ling, Junji Jiang, Junxiang Wang, Liang Zhao
Source Localization of Graph Diffusion via Variational Autoencoders for Graph Inverse Problems. KDD (2022)
Bo Pan, Yinkai Wang, Xuanyang Lin, Muran Qin, Yuanqi Du, Shiva Ghaemi, Aowei Ding, Shiyu Wang, Saleh AlKhalifa, Kevin Minbiole, William Wuest, Ashley Ann Petersen, Austin Leitgeb, Amarda Shehu, Liang Zhao
Property-Controllable Generation of Quaternary Ammonium Compounds. BIBM (2022)
Liang Zhao, Yuyang Gao, Jieping Ye, Feng Chen, Yanfang Ye, Chang-Tien Lu, Naren Ramakrishnan
Spatio-Temporal Event Forecasting Using Incremental Multi-Source Feature Learning. ACM Trans. Knowl. Discov. Data 16 (2) (2022)
Yuanqi Du, Xiaojie Guo, Yinkai Wang, Amarda Shehu, Liang Zhao
Small molecule generation via disentangled representation learning. Bioinform. 38 (12) (2022)
Chen Ling, Hengning Cao, Liang Zhao
STGEN: Deep Continuous-Time Spatiotemporal Graph Generation. ECML/PKDD (3) (2022)
Junxiang Wang, Hongyi Li, Liang Zhao
Accelerated Gradient-free Neural Network Training by Multi-convex Alternating Optimization. Neurocomputing 487 (2022)
Zheng Chai, Guangji Bai, Liang Zhao, Yue Cheng
Distributed Graph Neural Network Training with Periodic Historical Embedding Synchronization. CoRR (2022)
Junxiang Wang, Liang Zhao
Convergence and Applications of ADMM on the Multi-convex Problems. PAKDD (2) (2022)
Shuo Lei, Xuchao Zhang, Liang Zhao, Arnold P. Boedihardjo, Chang-Tien Lu
Online and Distributed Robust Regressions with Extremely Noisy Labels. ACM Trans. Knowl. Discov. Data 16 (3) (2022)
Dazhou Yu, Guangji Bai, Yun Li, Liang Zhao
Deep Spatial Domain Generalization. CoRR (2022)
Shiyu Wang, Xiaojie Guo, Liang Zhao
Deep Generative Model for Periodic Graphs. NeurIPS (2022)
Yinkai Wang, Shiva Ghaemi, Aowei Ding, Yuanqui Du, Bo Pan, Muran Qin, Xuanyang Lin, Ashley Ann Petersen, Austin Leitgeb, Saleh AlKhalifa, Kevin Minbiole, William Wuest, Liang Zhao, Amarda Shehu
Generation and Characterization of Quaternary Ammonium Compounds via Deep Learning. BIBM (2022)
Junxiang Wang, Junji Jiang, Liang Zhao
An Invertible Graph Diffusion Neural Network for Source Localization. CoRR (2022)
Yuyang Gao, Giorgio A. Ascoli, Liang Zhao
BEAN: Interpretable and Efficient Learning With Biologically-Enhanced Artificial Neuronal Assembly Regularization. Frontiers Neurorobotics 15 (2021)
Liang Zhao
Event Prediction in the Big Data Era: A Systematic Survey. ACM Comput. Surv. 54 (5) (2021)
Yuyang Gao, Giorgio A. Ascoli, Liang Zhao
Schematic Memory Persistence and Transience for Efficient and Robust Continual Learning. CoRR (2021)
Mingxuan Ju, Shifu Hou, Yujie Fan, Jianan Zhao, Liang Zhao, Yanfang Ye
Adaptive Kernel Graph Neural Network. CoRR (2021)
Liming Zhang, Liang Zhao, Shan Qin, Dieter Pfoser, Chen Ling
TG-GAN: Continuous-time Temporal Graph Deep Generative Models with Time-Validity Constraints. WWW (2021)
Yujie Fan, Mingxuan Ju, Chuxu Zhang, Liang Zhao, Yanfang Ye
Heterogeneous Temporal Graph Neural Network. CoRR (2021)
Hongyi Li, Junxiang Wang, Yongchao Wang, Yue Cheng, Liang Zhao
Community-based Layerwise Distributed Training of Graph Convolutional Networks. CoRR (2021)
Junxiang Wang, Hongyi Li, Zheng Chai, Yongchao Wang, Yue Cheng, Liang Zhao
Towards Quantized Model Parallelism for Graph-Augmented MLPs Based on Gradient-Free ADMM framework. CoRR (2021)
Xiaojie Guo, Liang Zhao, Houman Homayoun, Sai Manoj Pudukotai Dinakarrao
Deep graph transformation for attributed, directed, and signed networks. Knowl. Inf. Syst. 63 (6) (2021)
Zheng Chai, Yujing Chen, Ali Anwar, Liang Zhao, Yue Cheng, Huzefa Rangwala
FedAT: a high-performance and communication-efficient federated learning system with asynchronous tiers. SC (2021)
Yuanqi Du, Shiyu Wang, Xiaojie Guo, Hengning Cao, Shujie Hu, Junji Jiang, Aishwarya Varala, Abhinav Angirekula, Liang Zhao
GraphGT: Machine Learning Datasets for Graph Generation and Transformation. NeurIPS Datasets and Benchmarks (2021)
Mengchao Xu, Liang Zhao, Ruixin Yang, Jingchao Yang, Dexuan Sha, Chaowei Yang
Integrating memory-mapping and N-dimensional hash function for fast and efficient grid-based climate data query. Ann. GIS 27 (1) (2021)

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Publication Activity (10 Years)

Top Topics

Top Venues

Liang Zhao