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Wenhan Xia
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2020 – today
- 2024
- [c6]Bosheng Ding, Chengwei Qin, Ruochen Zhao, Tianze Luo, Xinze Li, Guizhen Chen, Wenhan Xia, Junjie Hu, Anh Tuan Luu, Shafiq Joty:
Data Augmentation using LLMs: Data Perspectives, Learning Paradigms and Challenges. ACL (Findings) 2024: 1679-1705 - [c5]Alexis Chevalier, Jiayi Geng, Alexander Wettig, Howard Chen, Sebastian Mizera, Toni Annala, Max Jameson Aragon, Arturo Rodríguez Fanlo, Simon Frieder, Simon Machado, Akshara Prabhakar, Ellie Thieu, Jiachen T. Wang, Zirui Wang, Xindi Wu, Mengzhou Xia, Wenhan Xia, Jiatong Yu, Junjie Zhu, Zhiyong Jason Ren, Sanjeev Arora, Danqi Chen:
Language Models as Science Tutors. ICML 2024 - [c4]Chengwei Qin, Ruirui Chen, Ruochen Zhao, Wenhan Xia, Shafiq Joty:
Lifelong Event Detection with Embedding Space Separation and Compaction. NAACL (Short Papers) 2024: 594-602 - [i10]Wenhan Xia, Chengwei Qin, Elad Hazan:
Chain of LoRA: Efficient Fine-tuning of Language Models via Residual Learning. CoRR abs/2401.04151 (2024) - [i9]Bosheng Ding, Chengwei Qin, Ruochen Zhao, Tianze Luo, Xinze Li, Guizhen Chen, Wenhan Xia, Junjie Hu, Anh Tuan Luu, Shafiq Joty:
Data Augmentation using LLMs: Data Perspectives, Learning Paradigms and Challenges. CoRR abs/2403.02990 (2024) - [i8]Chengwei Qin, Ruirui Chen, Ruochen Zhao, Wenhan Xia, Shafiq Joty:
Lifelong Event Detection with Embedding Space Separation and Compaction. CoRR abs/2404.02507 (2024) - [i7]Chengwei Qin, Wenhan Xia, Tan Wang, Fangkai Jiao, Yuchen Hu, Bosheng Ding, Ruirui Chen, Shafiq Joty:
Relevant or Random: Can LLMs Truly Perform Analogical Reasoning? CoRR abs/2404.12728 (2024) - 2023
- [c3]David Snyder, Meghan Booker, Nathaniel Simon, Wenhan Xia, Daniel Suo, Elad Hazan, Anirudha Majumdar:
Online Learning for Obstacle Avoidance. CoRL 2023: 2926-2954 - [c2]Udaya Ghai, Arushi Gupta, Wenhan Xia, Karan Singh, Elad Hazan:
Online Nonstochastic Model-Free Reinforcement Learning. NeurIPS 2023 - [i6]Udaya Ghai, Arushi Gupta, Wenhan Xia, Karan Singh, Elad Hazan:
Online Nonstochastic Model-Free Reinforcement Learning. CoRR abs/2305.17552 (2023) - [i5]David Snyder, Meghan Booker, Nathaniel Simon, Wenhan Xia, Daniel Suo, Elad Hazan, Anirudha Majumdar:
Online Learning for Obstacle Avoidance. CoRR abs/2306.08776 (2023) - [i4]Chengwei Qin, Wenhan Xia, Fangkai Jiao, Shafiq Joty:
Improving In-context Learning via Bidirectional Alignment. CoRR abs/2312.17055 (2023) - 2022
- [j3]Wenhan Xia
, Hongxu Yin
Fully Dynamic Inference With Deep Neural Networks. IEEE Trans. Emerg. Top. Comput. 10(2): 962-972 (2022) - [i3]Zhou Lu
Adaptive Gradient Methods with Local Guarantees. CoRR abs/2203.01400 (2022) - 2020
- [c1]Wenhan Xia, Hongxu Yin, Niraj K. Jha:
INVITED: Efficient Synthesis of Compact Deep Neural Networks. DAC 2020: 1-6 - [i2]Wenhan Xia, Hongxu Yin, Niraj K. Jha:
Efficient Synthesis of Compact Deep Neural Networks. CoRR abs/2004.08704 (2020) - [i1]Wenhan Xia, Hongxu Yin, Xiaoliang Dai, Niraj K. Jha:
Fully Dynamic Inference with Deep Neural Networks. CoRR abs/2007.15151 (2020)
2010 – 2019
- 2017
- [j2]Leida Li, Wenhan Xia, Weisi Lin, Yuming Fang, Shiqi Wang
No-Reference and Robust Image Sharpness Evaluation Based on Multiscale Spatial and Spectral Features. IEEE Trans. Multim. 19(5): 1030-1040 (2017) - 2016
- [j1]Leida Li, Wenhan Xia, Yuming Fang, Ke Gu, Jinjian Wu, Weisi Lin, Jiansheng Qian:
Color image quality assessment based on sparse representation and reconstruction residual. J. Vis. Commun. Image Represent. 38: 550-560 (2016)
Coauthor Index
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