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Chenglin Li

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CTRL: Continuous-Time Representation Learning on Temporal Heterogeneous Information Network

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May 11, 2024
Chenglin Li, Yuanzhen Xie, Chenyun Yu, Lei Cheng, Bo Hu, Zang Li, Di Niu

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Improving Diffusion Models for Inverse Problems Using Optimal Posterior Covariance

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Feb 03, 2024
Xinyu Peng, Ziyang Zheng, Wenrui Dai, Nuoqian Xiao, Chenglin Li, Junni Zou, Hongkai Xiong

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scBiGNN: Bilevel Graph Representation Learning for Cell Type Classification from Single-cell RNA Sequencing Data

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Dec 16, 2023
Rui Yang, Wenrui Dai, Chenglin Li, Junni Zou, Dapeng Wu, Hongkai Xiong

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AiluRus: A Scalable ViT Framework for Dense Prediction

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Nov 02, 2023
Jin Li, Yaoming Wang, Xiaopeng Zhang, Bowen Shi, Dongsheng Jiang, Chenglin Li, Wenrui Dai, Hongkai Xiong, Qi Tian

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Frequency-Aware Transformer for Learned Image Compression

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Oct 25, 2023
Han Li, Shaohui Li, Wenrui Dai, Chenglin Li, Junni Zou, Hongkai Xiong

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AdSEE: Investigating the Impact of Image Style Editing on Advertisement Attractiveness

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Sep 15, 2023
Liyao Jiang, Chenglin Li, Haolan Chen, Xiaodong Gao, Xinwang Zhong, Yang Qiu, Shani Ye, Di Niu

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OlaGPT: Empowering LLMs With Human-like Problem-Solving Abilities

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May 23, 2023
Yuanzhen Xie, Tao Xie, Mingxiong Lin, WenTao Wei, Chenglin Li, Beibei Kong, Lei Chen, Chengxiang Zhuo, Bo Hu, Zang Li

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Learned Lossless Compression for JPEG via Frequency-Domain Prediction

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Mar 05, 2023
Jixiang Luo, Shaohui Li, Wenrui Dai, Chenglin Li, Junni Zou, Hongkai Xiong

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One for All, All for One: Learning and Transferring User Embeddings for Cross-Domain Recommendation

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Nov 22, 2022
Chenglin Li, Yuanzhen Xie, Chenyun Yu, Bo Hu, Zang li, Guoqiang Shu, Xiaohu Qie, Di Niu

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Optimization-based Block Coordinate Gradient Coding for Mitigating Partial Stragglers in Distributed Learning

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Jun 06, 2022
Qi Wang, Ying Cui, Chenglin Li, Junni Zou, Hongkai Xiong

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