no code implementations • 3 Oct 2023 • Vince S. Siu, Kuan Yu Hsieh, Italo Buleje, Takashi Itoh, Tian Hao, Ben Civjan, Nigel Hinds, Bing Dang, Jeffrey L. Rogers, Bo Wen
These microservices can be deployed to a clinical cohort specified through the Clinical Task Manager (CTM).
no code implementations • 13 Sep 2023 • Carla Agurto, Guillermo Cecchi, Bo Wen, Ernest Fraenkel, James Berry, Indu Navar, Raquel Norel
In this paper, we focused on another important aspect, cognitive impairment, which affects 35-50% of the ALS population.
no code implementations • 8 Sep 2023 • Rodrigo Ordonez-Hurtado, Bo Wen, Nicholas Barra, Ryan Vimba, Sergio Cabrero-Barros, Sergiy Zhuk, Jeffrey L. Rogers
Driving is a daily routine for many individuals across the globe.
no code implementations • 20 Jul 2023 • Qian Wan, Siying Hu, Yu Zhang, Piaohong Wang, Bo Wen, Zhicong Lu
This collaborative process champions the human in a dominant role, in addition to mixed and shifting levels of initiative that exist between humans and LLMs.
no code implementations • 5 Aug 2022 • Jianlin Su, Mingren Zhu, Ahmed Murtadha, Shengfeng Pan, Bo Wen, Yunfeng Liu
To support the application of deep learning in multi-label classification (MLC) tasks, we propose the ZLPR (zero-bounded log-sum-exp \& pairwise rank-based) loss in this paper.
no code implementations • 5 Aug 2022 • Jianlin Su, Ahmed Murtadha, Shengfeng Pan, Jing Hou, Jun Sun, Wanwei Huang, Bo Wen, Yunfeng Liu
The ultimate goal is to enable a global view that considers the beginning and the end positions to predict the entity.
no code implementations • 15 Apr 2022 • Ruibin Mao, Bo Wen, Yahui Zhao, Arman Kazemi, Ann Franchesca Laguna, Michael Neimier, X. Sharon Hu, Xia Sheng, Catherine E. Graves, John Paul Strachan, Can Li
Memory augmented neural network has been proposed to achieve the goal, but the memory module has to be stored in an off-chip memory due to its size.
1 code implementation • 22 Mar 2022 • Murtadha Ahmed, Shengfeng Pan, Jianlin Su, Xinxin Cao, Wenze Zhang, Bo Wen, Yunfeng Liu
Unfortunately, the aspect is often expressed implicitly through a set of representatives and thus renders implicit mapping process unattainable unless sufficient labeled examples are available.
Aspect-Based Sentiment Analysis Aspect-Based Sentiment Analysis (ABSA) +2
no code implementations • 2 Mar 2022 • Wen Zhang, Chi-Man Wong, Ganqinag Ye, Bo Wen, Hongting Zhou, Wei zhang, Huajun Chen
On the one hand, it could provide item knowledge services in a uniform way with service vectors for embedding-based and item-knowledge-related task models without accessing triple data.
2 code implementations • 13 Jan 2022 • Ling Chen, Donghui Chen, Zongjiang Shang, Binqing Wu, Cen Zheng, Bo Wen, Wei zhang
Given the multi-scale feature representations and scale-specific inter-variable dependencies, a multi-scale temporal graph neural network is introduced to jointly model intra-variable dependencies and inter-variable dependencies.
1 code implementation • 14 Dec 2021 • Donghui Chen, Ling Chen, Zongjiang Shang, Youdong Zhang, Bo Wen, Chenghu Yang
In this paper, we propose a scale-aware neural architecture search framework for MTS forecasting (SNAS4MTF).
no code implementations • 9 Nov 2021 • Ling Chen, Weiqi Chen, Binqing Wu, Youdong Zhang, Bo Wen, Chenghu Yang
Time series forecasting is a significant problem in many applications, e. g., financial predictions and business optimization.
no code implementations • 2 May 2021 • Wen Zhang, Chi-Man Wong, Ganqiang Ye, Bo Wen, Wei zhang, Huajun Chen
As a backbone for online shopping platforms, we built a billion-scale e-commerce product knowledge graph for various item knowledge services such as item recommendation.
18 code implementations • 20 Apr 2021 • Jianlin Su, Yu Lu, Shengfeng Pan, Ahmed Murtadha, Bo Wen, Yunfeng Liu
Then, we propose a novel method named Rotary Position Embedding(RoPE) to effectively leverage the positional information.
Ranked #1 on Semantic Text Matching on CAIL2019-SCM - test
1 code implementation • 31 Dec 2015 • Bo Wen, Xiaojun Chen, Ting Kei Pong
In this paper, we study the proximal gradient algorithm with extrapolation for minimizing the sum of a Lipschitz differentiable function and a proper closed convex function.