Weitang Liu

According to our database, Weitang Liu authored at least 14 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

A simple but effective span-level tagging method for discontinuous named entity recognition.

Tingyun Mao, Yaobin Xu, Weitang Liu, Jingchao Peng, Lili Chen, Mingwei Zhou

Neural Comput. Appl., May, 2024

2023

OMNIINPUT: A Model-centric Evaluation Framework through Output Distribution.

Weitang Liu, Ying-Wai Li, Tianle Wang, Yi-Zhuang You, Jingbo Shang

CoRR, 2023

Gradient-based Wang-Landau Algorithm: A Novel Sampler for Output Distribution of Neural Networks over the Input Space.

Weitang Liu, Yi-Zhuang You, Ying-Wai Li, Jingbo Shang

Proceedings of the International Conference on Machine Learning, 2023

WOT-Class: Weakly Supervised Open-world Text Classification.

Tianle Wang, Zihan Wang, Weitang Liu, Jingbo Shang

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2021

Can multi-label classification networks know what they don't know?

Haoran Wang, Weitang Liu, Alex Bocchieri, Yixuan Li

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020

CLUE: A Chinese Language Understanding Evaluation Benchmark.

Liang Xu, Xuanwei Zhang, Lu Li, Hai Hu, Chenjie Cao, Weitang Liu, Junyi Li, Yudong Li, Kai Sun, Yechen Xu, Yiming Cui, Cong Yu, Qianqian Dong, Yin Tian, Dian Yu, Bo Shi, Jun Zeng, Rongzhao Wang, Weijian Xie, Yanting Li, Yina Patterson, Zuoyu Tian, Yiwen Zhang, He Zhou, Shaoweihua Liu, Qipeng Zhao, Cong Yue, Xinrui Zhang, Zhengliang Yang, Zhenzhong Lan

CoRR, 2020

CLUENER2020: Fine-grained Named Entity Recognition Dataset and Benchmark for Chinese.

Liang Xu, Yu Tong, Qianqian Dong, Yixuan Liao, Cong Yu, Yin Tian, Weitang Liu, Lu Li, Xuanwei Zhang

CoRR, 2020

Energy-based Out-of-distribution Detection.

Weitang Liu, Xiaoyun Wang, John D. Owens, Yixuan Li

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

CLUE: A Chinese Language Understanding Evaluation Benchmark.

Liang Xu, Hai Hu, Xuanwei Zhang, Lu Li, Chenjie Cao, Yudong Li, Yechen Xu, Kai Sun, Dian Yu, Cong Yu, Yin Tian, Qianqian Dong, Weitang Liu, Bo Shi, Yiming Cui, Junyi Li, Jun Zeng, Rongzhao Wang, Weijian Xie, Yanting Li, Yina Patterson, Zuoyu Tian, Yiwen Zhang, He Zhou, Shaoweihua Liu, Zhe Zhao, Qipeng Zhao, Cong Yue, Xinrui Zhang, Zhengliang Yang, Kyle Richardson, Zhenzhong Lan

Proceedings of the 28th International Conference on Computational Linguistics, 2020

2019

Unsupervised Object Segmentation with Explicit Localization Module.

Weitang Liu, Lifeng Wei, James Sharpnack, John D. Owens

CoRR, 2019

Multiple Generative Models Ensemble for Knowledge-Driven Proactive Human-Computer Dialogue Agent.

Zelin Dai, Weitang Liu, Hao Zhang, Minghao Zhu, Long Wang

CoRR, 2019

2018

Sample-Efficient Deep RL with Generative Adversarial Tree Search.

Kamyar Azizzadenesheli, Brandon Yang, Weitang Liu, Emma Brunskill, Zachary C. Lipton, Animashree Anandkumar

CoRR, 2018

Object Localization and Motion Transfer learning with Capsules.

Weitang Liu, Emad Barsoum, John D. Owens

CoRR, 2018

2017

Gunrock: GPU Graph Analytics.

Yangzihao Wang, Yuechao Pan, Andrew A. Davidson, Yuduo Wu, Carl Yang, Leyuan Wang, Muhammad Osama, Chenshan Yuan, Weitang Liu, Andy T. Riffel, John D. Owens

ACM Trans. Parallel Comput., 2017