Weitang Liu

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 20

Top Topics

Object Localization

Named Entity Recognition

Weakly Supervised

Top Venues

ACM Trans. Parallel Comput.

Publications

Tingyun Mao, Yaobin Xu, Weitang Liu, Jingchao Peng, Lili Chen, Mingwei Zhou
A simple but effective span-level tagging method for discontinuous named entity recognition. Neural Comput. Appl. 36 (13) (2024)
Tianle Wang, Zihan Wang, Weitang Liu, Jingbo Shang
WOT-Class: Weakly Supervised Open-world Text Classification. CoRR (2023)
Tianle Wang, Zihan Wang, Weitang Liu, Jingbo Shang
WOT-Class: Weakly Supervised Open-world Text Classification. CIKM (2023)
Weitang Liu, Ying-Wai Li, Tianle Wang, Yi-Zhuang You, Jingbo Shang
OMNIINPUT: A Model-centric Evaluation Framework through Output Distribution. CoRR (2023)
Weitang Liu, Ying-Wai Li, Yi-Zhuang You, Jingbo Shang
Gradient-based Wang-Landau Algorithm: A Novel Sampler for Output Distribution of Neural Networks over the Input Space. CoRR (2023)
Weitang Liu, Yi-Zhuang You, Ying-Wai Li, Jingbo Shang
Gradient-based Wang-Landau Algorithm: A Novel Sampler for Output Distribution of Neural Networks over the Input Space. ICML (2023)
Yaobin Xu, Weitang Liu, Zhongyi Jiang, Zixuan Xu, Tingyun Mao, Lili Chen, Mingwei Zhou
MAF-GNN: Multi-adaptive Spatiotemporal-flow Graph Neural Network for Traffic Speed Forecasting. CoRR (2021)
Haoran Wang, Weitang Liu, Alex Bocchieri, Yixuan Li
Can multi-label classification networks know what they don't know? NeurIPS (2021)
Haoran Wang, Weitang Liu, Alex Bocchieri, Yixuan Li
Can multi-label classification networks know what they don't know? CoRR (2021)
Weitang Liu, Xiaoyun Wang, John D. Owens, Yixuan Li
Energy-based Out-of-distribution Detection. NeurIPS (2020)
Weitang Liu, Xiaoyun Wang, John D. Owens, Yixuan Li
Energy-based Out-of-distribution Detection. CoRR (2020)
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
CLUE: A Chinese Language Understanding Evaluation Benchmark. CoRR (2020)
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
CLUE: A Chinese Language Understanding Evaluation Benchmark. COLING (2020)
Liang Xu, Yu Tong, Qianqian Dong, Yixuan Liao, Cong Yu, Yin Tian, Weitang Liu, Lu Li, Xuanwei Zhang
CLUENER2020: Fine-grained Named Entity Recognition Dataset and Benchmark for Chinese. CoRR (2020)
Zelin Dai, Weitang Liu, Hao Zhang, Minghao Zhu, Long Wang
Multiple Generative Models Ensemble for Knowledge-Driven Proactive Human-Computer Dialogue Agent. CoRR (2019)
Weitang Liu, Lifeng Wei, James Sharpnack, John D. Owens
Unsupervised Object Segmentation with Explicit Localization Module. CoRR (2019)
Kamyar Azizzadenesheli, Brandon Yang, Weitang Liu, Emma Brunskill, Zachary C. Lipton, Animashree Anandkumar
Sample-Efficient Deep RL with Generative Adversarial Tree Search. CoRR (2018)
Weitang Liu, Emad Barsoum, John D. Owens
Object Localization and Motion Transfer learning with Capsules. CoRR (2018)
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
Gunrock: GPU Graph Analytics. CoRR (2017)
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
Gunrock: GPU Graph Analytics. ACM Trans. Parallel Comput. 4 (1) (2017)