QAEA-DR: A Unified Text Augmentation Framework for Dense Retrieval

no code implementations • 29 Jul 2024 • Hongming Tan, Shaoxiong Zhan, Hai Lin, Hai-Tao Zheng, Wai Kin, Chan

In dense retrieval, embedding long texts into dense vectors can result in information loss, leading to inaccurate query-text matching.

Answer Generation Event Extraction +7

On the Opportunities of Green Computing: A Survey

no code implementations • 1 Nov 2023 • You Zhou, Xiujing Lin, Xiang Zhang, Maolin Wang, Gangwei Jiang, Huakang Lu, Yupeng Wu, Kai Zhang, Zhe Yang, Kehang Wang, Yongduo Sui, Fengwei Jia, Zuoli Tang, Yao Zhao, Hongxuan Zhang, Tiannuo Yang, Weibo Chen, Yunong Mao, Yi Li, De Bao, Yu Li, Hongrui Liao, Ting Liu, Jingwen Liu, Jinchi Guo, Xiangyu Zhao, Ying WEI, Hong Qian, Qi Liu, Xiang Wang, Wai Kin, Chan, Chenliang Li, Yusen Li, Shiyu Yang, Jining Yan, Chao Mou, Shuai Han, Wuxia Jin, Guannan Zhang, Xiaodong Zeng

To tackle the challenges of computing resources and environmental impact of AI, Green Computing has become a hot research topic.

Fairness Speech Synthesis +2

A Deep Learning Framework for Traffic Data Imputation Considering Spatiotemporal Dependencies

no code implementations • 18 Apr 2023 • Li Jiang, Ting Zhang, Qiruyi Zuo, Chenyu Tian, George P. Chan, Wai Kin, Chan

Spatiotemporal (ST) data collected by sensors can be represented as multi-variate time series, which is a sequence of data points listed in an order of time.

Imputation Time Series +1

An SFP--FCC Method for Pricing and Hedging Early-exercise Options under Lévy Processes

no code implementations • 16 Sep 2019 • Tat Lung, Chan

This paper extends the Singular Fourier--Pad\'e (SFP) method proposed by Chan (2018) to pricing/hedging early-exercise options--Bermudan, American and discrete-monitored barrier options--under a L\'evy process.