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Xingzhuo Guo
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2020 – today
- 2024
- [j1]Weiqing Ji, Xingzhuo Guo, Shouan Pan, Fei Long, Tsung-Yi Ho, Ulf Schlichtmann, Hailong Yao:
GNN-Based Concentration Prediction With Variable Input Flow Rates for Microfluidic Mixers. IEEE Trans. Biomed. Circuits Syst. 18(3): 622-635 (2024) - [c7]Ximei Wang, Junwei Pan, Xingzhuo Guo, Dapeng Liu, Jie Jiang:
Decoupled Training: Return of Frustratingly Easy Multi-Domain Learning. AAAI 2024: 15644-15652 - [c6]Kaiyuan Chen, Xingzhuo Guo, Yu Zhang, Jianmin Wang, Mingsheng Long:
CogDPM: Diffusion Probabilistic Models via Cognitive Predictive Coding. ICML 2024 - [c5]Xingzhuo Guo, Junwei Pan, Ximei Wang, Baixu Chen, Jie Jiang, Mingsheng Long:
On the Embedding Collapse when Scaling up Recommendation Models. ICML 2024 - [i5]Kaiyuan Chen, Xingzhuo Guo, Yu Zhang, Jianmin Wang, Mingsheng Long:
CogDPM: Diffusion Probabilistic Models via Cognitive Predictive Coding. CoRR abs/2405.02384 (2024) - [i4]Jincheng Zhong, Xingzhuo Guo, Jiaxiang Dong, Mingsheng Long:
Diffusion Tuning: Transferring Diffusion Models via Chain of Forgetting. CoRR abs/2406.00773 (2024) - 2023
- [c4]Wanrong He, Haoyu Dong, Yihuai Gao, Zhichao Fan, Xingzhuo Guo, Zhitao Hou, Xiao Lv, Ran Jia, Shi Han, Dongmei Zhang:
HermEs: Interactive Spreadsheet Formula Prediction via Hierarchical Formulet Expansion. ACL (1) 2023: 8356-8372 - [c3]Xingzhuo Guo, Yuchen Zhang, Jianmin Wang, Mingsheng Long:
Estimating Heterogeneous Treatment Effects: Mutual Information Bounds and Learning Algorithms. ICML 2023: 12108-12121 - [c2]Yang Shu, Xingzhuo Guo, Jialong Wu, Ximei Wang, Jianmin Wang, Mingsheng Long:
CLIPood: Generalizing CLIP to Out-of-Distributions. ICML 2023: 31716-31731 - [i3]Yang Shu, Xingzhuo Guo, Jialong Wu, Ximei Wang, Jianmin Wang, Mingsheng Long:
CLIPood: Generalizing CLIP to Out-of-Distributions. CoRR abs/2302.00864 (2023) - [i2]Ximei Wang, Junwei Pan, Xingzhuo Guo, Dapeng Liu, Jie Jiang:
Decoupled Training: Return of Frustratingly Easy Multi-Domain Learning. CoRR abs/2309.10302 (2023) - [i1]Xingzhuo Guo, Junwei Pan, Ximei Wang, Baixu Chen, Jie Jiang, Mingsheng Long:
On the Embedding Collapse when Scaling up Recommendation Models. CoRR abs/2310.04400 (2023) - 2022
- [c1]Weiqing Ji, Xingzhuo Guo, Shouan Pan, Tsung-Yi Ho, Ulf Schlichtmann, Hailong Yao:
GNN-based concentration prediction for random microfluidic mixers. DAC 2022: 763-768
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