Wenhan Xia

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 17

Top Topics

Gradient Method

Obstacle Avoidance

Reinforcement Learning

Top Venues

J. Vis. Commun. Image Represent.

IEEE Trans. Emerg. Top. Comput.

Publications

Wenhan Xia, Chengwei Qin, Elad Hazan
Chain of LoRA: Efficient Fine-tuning of Language Models via Residual Learning. CoRR (2024)
Chengwei Qin, Ruirui Chen, Ruochen Zhao, Wenhan Xia, Shafiq Joty
Lifelong Event Detection with Embedding Space Separation and Compaction. CoRR (2024)
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 (2024)
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 (2024)
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)
Udaya Ghai, Arushi Gupta, Wenhan Xia, Karan Singh, Elad Hazan
Online Nonstochastic Model-Free Reinforcement Learning. CoRR (2023)
David Snyder, Meghan Booker, Nathaniel Simon, Wenhan Xia, Daniel Suo, Elad Hazan, Anirudha Majumdar
Online Learning for Obstacle Avoidance. CoRR (2023)
Chengwei Qin, Wenhan Xia, Fangkai Jiao, Shafiq Joty
Improving In-context Learning via Bidirectional Alignment. CoRR (2023)
Udaya Ghai, Arushi Gupta, Wenhan Xia, Karan Singh, Elad Hazan
Online Nonstochastic Model-Free Reinforcement Learning. NeurIPS (2023)
David Snyder, Meghan Booker, Nathaniel Simon, Wenhan Xia, Daniel Suo, Elad Hazan, Anirudha Majumdar
Online Learning for Obstacle Avoidance. CoRL (2023)
Wenhan Xia, Hongxu Yin, Xiaoliang Dai, Niraj K. Jha
Fully Dynamic Inference With Deep Neural Networks. IEEE Trans. Emerg. Top. Comput. 10 (2) (2022)
Zhou Lu, Wenhan Xia, Sanjeev Arora, Elad Hazan
Adaptive Gradient Methods with Local Guarantees. CoRR (2022)
Wenhan Xia, Hongxu Yin, Niraj K. Jha
Efficient Synthesis of Compact Deep Neural Networks. CoRR (2020)
Wenhan Xia, Hongxu Yin, Xiaoliang Dai, Niraj K. Jha
Fully Dynamic Inference with Deep Neural Networks. CoRR (2020)
Wenhan Xia, Hongxu Yin, Niraj K. Jha
INVITED: Efficient Synthesis of Compact Deep Neural Networks. DAC (2020)
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) (2017)
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 (2016)