Resultados da busca - Wang, Chenguang

Learning Graph Representation by Aggregating Subgraphs via Mutual Information Maximization por Wang, Chenguang, Liu, Ziwen

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A Unified Framework for Data-Free One-Step Sampling via Wasserstein Gradient Flows por Wang, Chenguang, Yu, Tianshu

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PoD: Positional Dependency-Based Word Embedding for Aspect Term Extraction por Yin, Yichun, Wang, Chenguang, Zhang, Ming

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Language Models are Open Knowledge Graphs por Wang, Chenguang, Liu, Xiao, Song, Dawn

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IELM: An Open Information Extraction Benchmark for Pre-Trained Language Models por Wang, Chenguang, Liu, Xiao, Song, Dawn

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Towards Principled Task Grouping for Multi-Task Learning por Wang, Chenguang, Pan, Xuanhao, Yu, Tianshu

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ObsSpec: Accelerating Agentic Reinforcement Learning with Observation Speculation por Montgomery, Kyle, Zhang, Wang, Wang, Chenguang

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Generating Contextual Load Profiles Using a Conditional Variational Autoencoder por Wang, Chenguang, Tindemans, Simon H., Palensky, Peter

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Detection of False Data Injection Attacks Using the Autoencoder Approach por Wang, Chenguang, Tindemans, Simon, Pan, Kaikai, Palensky, Peter

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Training Strategies for Autoencoder-based Detection of False Data Injection Attacks por Wang, Chenguang, Pan, Kaikai, Tindemans, Simon, Palensky, Peter

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Joint Language Semantic and Structure Embedding for Knowledge Graph Completion por Shen, Jianhao, Wang, Chenguang, Gong, Linyuan, Song, Dawn

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Comprehensive Analysis of Over-smoothing in Graph Neural Networks from Markov Chains Perspective por Zhao, Weichen, Wang, Chenguang, Han, Congying, Guo, Tiande

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Practical Membership Inference Attacks Against Large-Scale Multi-Modal Models: A Pilot Study por Ko, Myeongseob, Jin, Ming, Wang, Chenguang, Jia, Ruoxi

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Benchmarking Zero-Shot Robustness of Multimodal Foundation Models: A Pilot Study por Wang, Chenguang, Jia, Ruoxi, Liu, Xin, Song, Dawn

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Where You Go is Who You Are: Behavioral Theory-Guided LLMs for Inverse Reinforcement Learning por Sun, Yuran, Xu, Susu, Wang, Chenguang, Zhao, Xilei

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Are Your Generated Instances Truly Useful? GenBench-MILP: A Benchmark Suite for MILP Instance Generation por Luo, Yidong, Wang, Chenguang, Li, Dong, Yu, Tianshu

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Order Matters in Retrosynthesis: Structure-aware Generation via Reaction-Center-Guided Discrete Flow Matching por Wang, Chenguang, Zhou, Zihan, Bai, Lei, Yu, Tianshu

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ProActor: Timing-Aware Reinforcement Learning for Proactive Task Scheduling Agents por Ding, Lei, He, Bin, Wang, Chenguang, Liu, Yang

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Targeted Analysis of High-Risk States Using an Oriented Variational Autoencoder por Wang, Chenguang, Sharifnia, Ensieh, Tindemans, Simon H., Palensky, Peter

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Efficient Training of Multi-task Neural Solver for Combinatorial Optimization por Wang, Chenguang, Fu, Zhang-Hua, Lu, Pinyan, Yu, Tianshu

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