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Liang Zhao

80 papers · 2016–2026 · 16 venues · across top CS/AI venues

This profile combines several different researchers. Authors are keyed by name, and this name's papers fall into 26 separate collaboration groups - the largest holds only 38% of them. Pick the group below that matches the researcher you mean. How a shared name is split.

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Which Liang Zhao?

10 groups of papers that share co-authors internally but none with each other - each most likely a different researcher. Pick one to see its papers.

with Chen Ling, Zheng Zhang, Xuchao Zhang 30 papers · 2017–2025 · NeurIPS, IJCAI, AAAI Hide ▲
FedSpaLLM: Federated Pruning of Large Language Models NAACL 2025 GRAG: Graph Retrieval-Augmented Generation NAACL 2025 GraphNarrator: Generating Textual Explanations for Graph Neural Networks ACL 2025 Continuous Temporal Domain Generalization NeurIPS 2024 ELAD: Explanation-Guided Large Language Models Active Distillation ACL 2024 MIM-Reasoner: Learning with Theoretical Guarantees for Multiplex Influence Maximization AISTATS 2024 SparseLLM: Towards Global Pruning of Pre-trained Language Models NeurIPS 2024 TEG-DB: A Comprehensive Dataset and Benchmark of Textual-Edge Graphs NeurIPS 2024 Uncertainty Quantification for In-Context Learning of Large Language Models NAACL 2024 Visual Attention Prompted Prediction and Learning IJCAI 2024 Curriculum Learning for Graph Neural Networks: Which Edges Should We Learn First NeurIPS 2023 Deep Graph Representation Learning and Optimization for Influence Maximization ICML 2023 MAGI: Multi-Annotated Explanation-Guided Learning ICCV 2023 Open-ended Commonsense Reasoning with Unrestricted Answer Candidates EMNLP 2023 Temporal Domain Generalization with Drift-Aware Dynamic Neural Networks ICLR 2023 Unsupervised Deep Subgraph Anomaly Detection (Extended Abstract) IJCAI 2023 Adaptive Kernel Graph Neural Network AAAI 2022 Deep Generative Model for Periodic Graphs NeurIPS 2022 Disentangled Spatiotemporal Graph Generative Models AAAI 2022 From “Dynamics on Graphs” to “Dynamics of Graphs”: An Adaptive Echo-State Network Solution (Student Abstract) AAAI 2022 Multi-objective Deep Data Generation with Correlated Property Control NeurIPS 2022 Zero-Shot Cross-Lingual Machine Reading Comprehension via Inter-sentence Dependency Graph AAAI 2022 Property Controllable Variational Autoencoder via Invertible Mutual Dependence ICLR 2021 Representation Learning on Spatial Networks NeurIPS 2021 Self-Paced Robust Learning for Leveraging Clean Labels in Noisy Data AAAI 2020 Incomplete Label Multi-Task Deep Learning for Spatio-Temporal Event Subtype Forecasting AAAI 2019 iDev: Enhancing Social Coding Security by Cross-platform User Identification Between GitHub and Stack Overflow IJCAI 2019 Distributed Self-Paced Learning in Alternating Direction Method of Multipliers IJCAI 2018 Social Media based Simulation Models for Understanding Disease Dynamics IJCAI 2018 Robust Regression via Heuristic Hard Thresholding IJCAI 2017
16 papers whose co-authors appear nowhere else under this name