2 code implementations • 10 Apr 2024 • Hongru Du, Jianan Zhao, Yang Zhao, Shaochong Xu, Xihong Lin, Yiran Chen, Lauren M. Gardner, Hao, Yang
Forecasting the short-term spread of an ongoing disease outbreak is a formidable challenge due to the complexity of contributing factors, some of which can be characterized through interlinked, multi-modality variables such as epidemiological time series data, viral biology, population demographics, and the intersection of public policy and human behavior.
no code implementations • 3 Apr 2024 • Xusen Guo, Qiming Zhang, Junyue Jiang, Mingxing Peng, Hao, Yang, Meixin Zhu
Achieving both accuracy and responsibility in traffic prediction models remains a challenge due to the complexity of traffic data and the inherent opacity of deep learning models.
no code implementations • 27 Mar 2024 • Mingxing Peng, Xusen Guo, Xianda Chen, Meixin Zhu, Kehua Chen, Hao, Yang, Xuesong Wang, Yinhai Wang
To the best of our knowledge, this is the first attempt to utilize LLMs for predicting lane change behavior.
no code implementations • 4 Feb 2022 • Meixin Zhu, Simon S. Du, Xuesong Wang, Hao, Yang, Ziyuan Pu, Yinhai Wang
Through cross-attention between encoder and decoder, the decoder learns to build a connection between historical driving and future LV speed, based on which a prediction of future FV speed can be obtained.
no code implementations • 12 Aug 2021 • Yuke, Yang
Human action recognition is a well-known computer vision and pattern recognition task of identifying which action a man is actually doing.
no code implementations • 6 Jun 2021 • Kian Hamedani, Lingjia Liu, Jithin Jagannath, Yang, Yi
It will be shown that the utility of the defender is variant in different scenarios, based on the defender that is being used.
no code implementations • 26 May 2021 • Zhaoxia, Deng, Jongsoo Park, Ping Tak Peter Tang, Haixin Liu, Jie, Yang, Hector Yuen, Jianyu Huang, Daya Khudia, Xiaohan Wei, Ellie Wen, Dhruv Choudhary, Raghuraman Krishnamoorthi, Carole-Jean Wu, Satish Nadathur, Changkyu Kim, Maxim Naumov, Sam Naghshineh, Mikhail Smelyanskiy
We share in this paper our search strategies to adapt reference recommendation models to low-precision hardware, our optimization of low-precision compute kernels, and the design and development of tool chain so as to maintain our models' accuracy throughout their lifespan during which topic trends and users' interests inevitably evolve.
no code implementations • 15 Dec 2020 • Yuxuan, Yang, Hadi Akbarzadeh Khorshidi, Uwe Aickelin, Aditi Nevgi, Elif Ekinci
This has resulted in the creation of numerous risk stratification tools with the objective of formulating associated surgical risk to assist both surgeons and patients in decision-making.
no code implementations • ACM International Conference on Multimedia 2020 • Yang, Xu, Chongyang Gao, Hanwang Zhang, and Jianfei Cai
We propose irredundant attention in SSG-RNN to improve the possibility of abstracting topics from rarely described sub-graphs and inheriting attention in WSG-RNN to generate more grounded sentences with the abstracted topics, both of which give rise to more distinctive paragraphs.
no code implementations • 20 Jul 2020 • Deng, YH., Yang, ZQ. & Ma, RM
However, their solution based growth method is intrinsically challenge to grow large scale single-crystalline thin film due to the random nucleation and isotropous growth of the crystal.
no code implementations • 13 Oct 2019 • Meixin Zhu, Jingyun Hu, Hao, Yang, Ziyuan Pu, Yinhai Wang
Also, results of the multinomial logit model show that (1) an increase in travel cost would decrease the utility of all the transportation modes; (2) people are less sensitive to the travel distance for the metro mode or a multi-modal option that containing metro, i. e., compared to other modes, people would be more willing to tolerate long-distance metro trips.
no code implementations • 20 Jul 2018 • Seyed shahabeddin Nabavi, Mrigank Rochan, Yang, Wang
We propose a novel model that uses convolutional LSTM (ConvLSTM) to encode the spatiotemporal information of observed frames for future prediction.
no code implementations • IEEE 2018 • Yang
Finger Vein Reprsentation using gan
no code implementations • 24 Sep 2013 • Saif M. Mohammad, Tony, Yang
With the widespread use of email, we now have access to unprecedented amounts of text that we ourselves have written.