1 code implementation • 29 Mar 2023 • Yuhang Jiang, Ramakanth Kavuluru
Extracting combination therapies from scientific literature inherently constitutes an $n$-ary relation extraction problem.
2 code implementations • 19 Mar 2023 • Yuhang Jiang, Ramakanth Kavuluru
As COVID-19 ravages the world, social media analytics could augment traditional surveys in assessing how the pandemic evolves and capturing consumer chatter that could help healthcare agencies in addressing it.
no code implementations • 15 Oct 2022 • Zihan Zhang, Yuhang Jiang, Yuan Zhou, Xiangyang Ji
Meanwhile, we show that to achieve $\tilde{O}(\mathrm{poly}(S, A, H)\sqrt{K})$ regret, the number of batches is at least $\Omega\left(H/\log_A(K)+ \log_2\log_2(K) \right)$, which matches our upper bound up to logarithmic terms.
no code implementations • 19 Jul 2022 • Yuhang Jiang, Wenping Tong
At present, the identification of agricultural pests and diseases has the problem that the model is not lightweight enough and difficult to apply.
no code implementations • 15 Oct 2021 • Shuncheng He, Yuhang Jiang, Hongchang Zhang, Jianzhun Shao, Xiangyang Ji
These pre-trained policies can accelerate learning when endowed with external reward, and can also be used as primitive options in hierarchical reinforcement learning.
Hierarchical Reinforcement Learning reinforcement-learning +2
no code implementations • 27 Feb 2021 • Hongchang Zhang, Jianzhun Shao, Yuhang Jiang, Shuncheng He, Xiangyang Ji
In offline reinforcement learning, a policy learns to maximize cumulative rewards with a fixed collection of data.
no code implementations • CVPR 2020 • Jianzhun Shao, Yuhang Jiang, Gu Wang, Zhigang Li, Xiangyang Ji
6D pose estimation from a single RGB image is a challenging and vital task in computer vision.
no code implementations • 24 Feb 2021 • Jianzhun Shao, Hongchang Zhang, Yuhang Jiang, Shuncheng He, Xiangyang Ji
Reward decomposition is a critical problem in centralized training with decentralized execution~(CTDE) paradigm for multi-agent reinforcement learning.
no code implementations • 21 Nov 2020 • Yuhang Jiang, Lukun Zheng
Video game genre classification based on its cover and textual description would be utterly beneficial to many modern identification, collocation, and retrieval systems.
Classification Cultural Vocal Bursts Intensity Prediction +3
1 code implementation • 25 Oct 2019 • Li Lyna Zhang, Yuqing Yang, Yuhang Jiang, Wenwu Zhu, Yunxin Liu
Unlike previous approaches that apply search algorithms on a small, human-designed search space without considering hardware diversity, we propose HURRICANE that explores the automatic hardware-aware search over a much larger search space and a two-stage search algorithm, to efficiently generate tailored models for different types of hardware.
Hardware Aware Neural Architecture Search Neural Architecture Search