Weitang Liu - RankMe

22 papers A* 3A 1B 1Journal 17

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	OmniInput: An Evaluation Framework for Deep Learning Models on Internet-Scale Data. Trans. Mach. Learn. Res. Weitang Liu, Yuelei Li, Ying Wai Li, Zihan Wang, Yi-Zhuang You, Jingbo Shang
2025	J	`jnl`	Road scene map for autonomous driving and modeling method. Int. J. Digit. Earth Juan Lei, Xiong You, Jiangpeng Tian, Jian Yang, Kuiliang Gao, Weitang Liu
2024	J	`jnl`	A simple but effective span-level tagging method for discontinuous named entity recognition. Neural Comput. Appl. Tingyun Mao, Yaobin Xu, Weitang Liu, Jingchao Peng, Lili Chen, Mingwei Zhou
2024	J	`jnl`	Model-diff: A Tool for Comparative Study of Language Models in the Input Space. CoRR Weitang Liu, Yuelei Li, Ying Wai Li, Zihan Wang, Jingbo Shang
2023	A*	`conf`	Gradient-based Wang-Landau Algorithm: A Novel Sampler for Output Distribution of Neural Networks over the Input Space. ICML Weitang Liu, Yi-Zhuang You, Ying-Wai Li, Jingbo Shang
2023	J	`jnl`	Gradient-based Wang-Landau Algorithm: A Novel Sampler for Output Distribution of Neural Networks over the Input Space. CoRR Weitang Liu, Ying-Wai Li, Yi-Zhuang You, Jingbo Shang
2023	J	`jnl`	OMNIINPUT: A Model-centric Evaluation Framework through Output Distribution. CoRR Weitang Liu, Ying-Wai Li, Tianle Wang, Yi-Zhuang You, Jingbo Shang
2023	A	`conf`	WOT-Class: Weakly Supervised Open-world Text Classification. CIKM Tianle Wang, Zihan Wang, Weitang Liu, Jingbo Shang
2023	J	`jnl`	WOT-Class: Weakly Supervised Open-world Text Classification. CoRR Tianle Wang, Zihan Wang, Weitang Liu, Jingbo Shang
2021	A*	`conf`	Can multi-label classification networks know what they don't know? NeurIPS Haoran Wang, Weitang Liu, Alex Bocchieri, Yixuan Li
2021	J	`jnl`	Can multi-label classification networks know what they don't know? CoRR Haoran Wang, Weitang Liu, Alex Bocchieri, Yixuan Li
2020	B	`conf`	CLUE: A Chinese Language Understanding Evaluation Benchmark. COLING 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
2020	J	`jnl`	CLUE: A Chinese Language Understanding Evaluation Benchmark. CoRR 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
2020	J	`jnl`	CLUENER2020: Fine-grained Named Entity Recognition Dataset and Benchmark for Chinese. CoRR Liang Xu, Yu Tong, Qianqian Dong, Yixuan Liao, Cong Yu, Yin Tian, Weitang Liu, Lu Li, Xuanwei Zhang
2020	A*	`conf`	Energy-based Out-of-distribution Detection. NeurIPS Weitang Liu, Xiaoyun Wang, John D. Owens, Yixuan Li
2020	J	`jnl`	Energy-based Out-of-distribution Detection. CoRR Weitang Liu, Xiaoyun Wang, John D. Owens, Yixuan Li
2019	J	`jnl`	Multiple Generative Models Ensemble for Knowledge-Driven Proactive Human-Computer Dialogue Agent. CoRR Zelin Dai, Weitang Liu, Hao Zhang, Minghao Zhu, Long Wang
2019	J	`jnl`	Unsupervised Object Segmentation with Explicit Localization Module. CoRR Weitang Liu, Lifeng Wei, James Sharpnack, John D. Owens
2018	J	`jnl`	Object Localization and Motion Transfer learning with Capsules. CoRR Weitang Liu, Emad Barsoum, John D. Owens
2018	J	`jnl`	Sample-Efficient Deep RL with Generative Adversarial Tree Search. CoRR Kamyar Azizzadenesheli, Brandon Yang, Weitang Liu, Emma Brunskill, Zachary C. Lipton, Animashree Anandkumar
2017	J	`jnl`	Gunrock: GPU Graph Analytics. CoRR 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
2017	J	`jnl`	Gunrock: GPU Graph Analytics. ACM Trans. Parallel Comput. 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