Search Results for author: Di Zhou

Found 11 papers, 1 papers with code

Neural Relation Classification with Text Descriptions

no code implementations COLING 2018 Feiliang Ren, Di Zhou, Zhihui Liu, Yongcheng Li, Rongsheng Zhao, Yongkang Liu, Xiaobo Liang

State-of-the-art methods usually concentrate on building deep neural networks based classification models on the training data in which the relations of the labeled entity pairs are given.

Classification General Classification +3

Integrating Graph Contextualized Knowledge into Pre-trained Language Models

no code implementations30 Nov 2019 Bin He, Di Zhou, Jinghui Xiao, Xin Jiang, Qun Liu, Nicholas Jing Yuan, Tong Xu

Complex node interactions are common in knowledge graphs, and these interactions also contain rich knowledge information.

Knowledge Graphs Representation Learning

PPKE: Knowledge Representation Learning by Path-based Pre-training

no code implementations7 Dec 2020 Bin He, Di Zhou, Jing Xie, Jinghui Xiao, Xin Jiang, Qun Liu

Entities may have complex interactions in a knowledge graph (KG), such as multi-step relationships, which can be viewed as graph contextual information of the entities.

Link Prediction Representation Learning

Novel Strongly Correlated Europium Superhydrides

no code implementations10 Dec 2020 Dmitrii V. Semenok, Di Zhou, Alexander G. Kvashnin, Xiaoli Huang, Michele Galasso, Ivan A. Kruglov, Anna G. Ivanova, Alexander G. Gavrilyuk, Wuhao Chen, Nikolay V. Tkachenko, Alexander I. Boldyrev, Ivan Troyan, Artem R. Oganov, Tian Cui

We conducted a joint experimental-theoretical investigation of the high-pressure chemistry of europium polyhydrides at pressures of 86-130 GPa.

Strongly Correlated Electrons Materials Science

Topological Invariant and Anomalous Edge Modes of Strongly Nonlinear Systems

no code implementations28 Dec 2020 Di Zhou

In this work, we identify the proper definition of Berry phase for nonlinear bulk modes and characterize topological phases in one-dimensional (1D) generalized nonlinear Schr\"{o}dinger equations in the strongly nonlinear regime.

Quantization Disordered Systems and Neural Networks Optics

Multi-agent reinforcement learning for wall modeling in LES of flow over periodic hills

no code implementations29 Nov 2022 Di Zhou, Michael P. Whitmore, Kevin P. Griffin, H. Jane Bae

The trained wall model is validated in wall-modeled LES (WMLES) of flow over periodic hills at higher Reynolds numbers, and the results show the effectiveness of the model on flow with pressure gradients.

Multi-agent Reinforcement Learning

Reconfigurable Intelligent Surface Enabled Joint Backscattering and Communication

no code implementations21 Aug 2023 Jinqiu Zhao, Jia Ye Shuaishuai Guo, Zhiquan Bai, Di Zhou, Abeer Mohamed

Reconfigurable intelligent surface (RIS) as an essential topic in the sixth-generation (6G) communications aims to enhance communication performance or mitigate undesired transmission.

Red AI? Inconsistent Responses from GPT3.5 Models on Political Issues in the US and China

no code implementations15 Dec 2023 Di Zhou, Yinxian Zhang

We posed the same question about high-profile political issues in the United States and China to GPT in both English and simplified Chinese, and our analysis of the bilingual responses revealed that GPT's bilingual models' political "knowledge" (content) and the political "attitude" (sentiment) are significantly more inconsistent on political issues in China.

Inter-domain Resource Collaboration in Satellite Networks: An Intelligent Scheduling Approach Towards Hybrid Missions

no code implementations15 Dec 2023 Chenxi Bao, Di Zhou, Min Sheng, Yan Shi, Jiandong Li

Breaking the barriers of independence of resources in each domain, and realizing the cross-domain transmission of missions to efficiently collaborate inter-domain resources is a promising solution.

Scheduling

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