Canlyniadau Chwilio - Liu, Chenghao

DualNet: Continual Learning, Fast and Slow gan Pham, Quang, Liu, Chenghao, Hoi, Steven

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Continual Normalization: Rethinking Batch Normalization for Online Continual Learning gan Pham, Quang, Liu, Chenghao, Hoi, Steven

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A Picture is Worth A Thousand Numbers: Enabling LLMs Reason about Time Series via Visualization gan Liu, Haoxin, Liu, Chenghao, Prakash, B. Aditya

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MCEN: Bridging Cross-Modal Gap between Cooking Recipes and Dish Images with Latent Variable Model gan Fu, Han, Wu, Rui, Liu, Chenghao, Sun, Jianling

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Scalar is Not Enough: Vectorization-based Unbiased Learning to Rank gan Chen, Mouxiang, Liu, Chenghao, Liu, Zemin, Sun, Jianling

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Continual Learning, Fast and Slow gan Pham, Quang, Liu, Chenghao, Hoi, Steven C. H.

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HINormer: Representation Learning On Heterogeneous Information Networks with Graph Transformer gan Mao, Qiheng, Liu, Zemin, Liu, Chenghao, Sun, Jianling

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FedET: A Communication-Efficient Federated Class-Incremental Learning Framework Based on Enhanced Transformer gan Liu, Chenghao, Qu, Xiaoyang, Wang, Jianzong, Xiao, Jing

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Pushing the Limits of Pre-training for Time Series Forecasting in the CloudOps Domain gan Woo, Gerald, Liu, Chenghao, Kumar, Akshat, Sahoo, Doyen

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MTSA-SNN: A Multi-modal Time Series Analysis Model Based on Spiking Neural Network gan Liu, Chengzhi, Tao, Zheng, Luo, Zihong, Liu, Chenghao

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Incremental Label Distribution Learning with Scalable Graph Convolutional Networks gan Jia, Ziqi, Qu, Xiaoyang, Liu, Chenghao, Wang, Jianzong

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Feature Interaction-aware Graph Neural Networks gan Ding, Kaize, Li, Yichuan, Li, Jundong, Liu, Chenghao, Liu, Huan

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A^2-GCN: An Attribute-aware Attentive GCN Model for Recommendation gan Liu, Fan, Cheng, Zhiyong, Zhu, Lei, Liu, Chenghao, Nie, Liqiang

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Bilevel Continual Learning gan Pham, Quang, Sahoo, Doyen, Liu, Chenghao, Hoi, Steven C. H

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Node-wise Localization of Graph Neural Networks gan Liu, Zemin, Fang, Yuan, Liu, Chenghao, Hoi, Steven C. H.

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ETSformer: Exponential Smoothing Transformers for Time-series Forecasting gan Woo, Gerald, Liu, Chenghao, Sahoo, Doyen, Kumar, Akshat, Hoi, Steven

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CoST: Contrastive Learning of Disentangled Seasonal-Trend Representations for Time Series Forecasting gan Woo, Gerald, Liu, Chenghao, Sahoo, Doyen, Kumar, Akshat, Hoi, Steven

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Learning Fast and Slow for Online Time Series Forecasting gan Pham, Quang, Liu, Chenghao, Sahoo, Doyen, Hoi, Steven C. H.

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Learning Deep Time-index Models for Time Series Forecasting gan Woo, Gerald, Liu, Chenghao, Sahoo, Doyen, Kumar, Akshat, Hoi, Steven

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OTW: Optimal Transport Warping for Time Series gan Latorre, Fabian, Liu, Chenghao, Sahoo, Doyen, Hoi, Steven C. H.

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