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Guangyuan Shi
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2020 – today
- 2024
- [c11]Yujie Feng, Xu Chu, Yongxin Xu, Guangyuan Shi, Bo Liu, Xiao-Ming Wu:
TaSL: Continual Dialog State Tracking via Task Skill Localization and Consolidation. ACL (1) 2024: 1266-1279 - [c10]Xiangyu Zhao, Bo Liu, Qijiong Liu, Guangyuan Shi, Xiao-Ming Wu:
EasyGen: Easing Multimodal Generation with BiDiffuser and LLMs. ACL (1) 2024: 1351-1370 - [c9]Xiaoyu Dong, Yujie Feng, Zexin Lu, Guangyuan Shi, Xiao-Ming Wu:
Zero-shot Cross-domain Dialogue State Tracking via Context-aware Auto-prompting and Instruction-following Contrastive Decoding. EMNLP 2024: 8527-8540 - [i7]Yujie Feng, Xu Chu, Yongxin Xu, Guangyuan Shi, Bo Liu, Xiao-Ming Wu:
TaSL: Continual Dialog State Tracking via Task Skill Localization and Consolidation. CoRR abs/2408.09857 (2024) - [i6]Guangyuan Shi, Zexin Lu, Xiaoyu Dong, Wenlong Zhang, Xuanyu Zhang, Yujie Feng, Xiao-Ming Wu:
Understanding Layer Significance in LLM Alignment. CoRR abs/2410.17875 (2024) - 2023
- [c8]Guangyuan Shi, Qimai Li, Wenlong Zhang, Jiaxin Chen, Xiao-Ming Wu:
Recon: Reducing Conflicting Gradients From the Root For Multi-Task Learning. ICLR 2023 - [c7]Wenlong Zhang, Xiaohui Li, Guangyuan Shi, Xiangyu Chen, Yu Qiao, Xiaoyun Zhang, Xiao-Ming Wu, Chao Dong:
Real-World Image Super-Resolution as Multi-Task Learning. NeurIPS 2023 - [i5]Guangyuan Shi, Qimai Li
, Wenlong Zhang, Jiaxin Chen, Xiao-Ming Wu
Recon: Reducing Conflicting Gradients from the Root for Multi-Task Learning. CoRR abs/2302.11289 (2023) - [i4]Xiangyu Zhao, Bo Liu, Qijiong Liu, Guangyuan Shi, Xiao-Ming Wu:
Making Multimodal Generation Easier: When Diffusion Models Meet LLMs. CoRR abs/2310.08949 (2023) - 2022
- [c6]Wenlong Zhang, Guangyuan Shi, Yihao Liu
A Closer Look at Blind Super-Resolution: Degradation Models, Baselines, and Performance Upper Bounds. CVPR Workshops 2022: 526-535 - [i3]Wenlong Zhang, Guangyuan Shi, Yihao Liu
A Closer Look at Blind Super-Resolution: Degradation Models, Baselines, and Performance Upper Bounds. CoRR abs/2205.04910 (2022) - 2021
- [j1]Guangyuan Shi, Chengying Gao, Dong Wang, Zhuo Su:
Automatic 3D virtual fitting system based on skeleton driving. Vis. Comput. 37(5): 1075-1088 (2021) - [c5]Haode Zhang, Yuwei Zhang, Li-Ming Zhan, Jiaxin Chen, Guangyuan Shi, Xiao-Ming Wu, Albert Y. S. Lam:
Effectiveness of Pre-training for Few-shot Intent Classification. EMNLP (Findings) 2021: 1114-1120 - [c4]Guangyuan Shi, Jiaxin Chen, Wenlong Zhang, Li-Ming Zhan, Xiao-Ming Wu:
Overcoming Catastrophic Forgetting in Incremental Few-Shot Learning by Finding Flat Minima. NeurIPS 2021: 6747-6761 - [i2]Haode Zhang, Yuwei Zhang
Effectiveness of Pre-training for Few-shot Intent Classification. CoRR abs/2109.05782 (2021) - [i1]Guangyuan Shi, Jiaxin Chen, Wenlong Zhang, Li-Ming Zhan, Xiao-Ming Wu:
Overcoming Catastrophic Forgetting in Incremental Few-Shot Learning by Finding Flat Minima. CoRR abs/2111.01549 (2021)
2010 – 2019
- 2018
- [c3]Yunong Zhang
Zhang Matrix Found as an Exception with its Time-Dependent Pseudoinverse Unsolvable by Getz-Masden Dynamic System. ICSAI 2018: 757-762 - [c2]Haozhong Cai, Guangyuan Shi, Chengying Gao, Dong Wang:
Automatic 3D Garment Fitting Based on Skeleton Driving. PCM (1) 2018: 267-277 - 2011
- [c1]Yumeng Feng, Guangyuan Shi:
Keep Consistency: A Data Backup and Recovery Mechanism in TPM. ACIS-ICIS 2011: 82-87
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