Search Results for author: Yichuan Li

Found 8 papers, 3 papers with code

Sim-to-Real 6D Object Pose Estimation via Iterative Self-training for Robotic Bin-picking

no code implementations14 Apr 2022 Kai Chen, Rui Cao, Stephen James, Yichuan Li, Yun-hui Liu, Pieter Abbeel, Qi Dou

To continuously improve the quality of pseudo labels, we iterate the above steps by taking the trained student model as a new teacher and re-label real data using the refined teacher model.

6D Pose Estimation using RGB Robotic Grasping

FedADMM: A Robust Federated Deep Learning Framework with Adaptivity to System Heterogeneity

1 code implementation7 Apr 2022 Yonghai Gong, Yichuan Li, Nikolaos M. Freris

Federated Learning (FL) is an emerging framework for distributed processing of large data volumes by edge devices subject to limited communication bandwidths, heterogeneity in data distributions and computational resources, as well as privacy considerations.

Federated Learning

Analogue Radio Over Fiber for Next-Generation RAN: Challenges and Opportunities

no code implementations27 Nov 2021 Yichuan Li, Qijie Xie, Mohammed El-Hajjar, Lajos Hanzo

The radio access network (RAN) connects the users to the core networks, where typically digitised radio over fiber (D-RoF) links are employed.

Analogue Radio over Fiber aided Multi-service Communications for High Speed Trains

no code implementations27 Nov 2021 Yichuan Li, Salman Ghafoor, Mohammed El-Hajjar

Hence, in this article, we propose an analogue radio over fiber (A-RoF) aided multi-service network architecture for high-speed trains, in order to enhance the quality of service as well as reduce the cost of the radio access network (RAN).

Fact-Enhanced Synthetic News Generation

1 code implementation8 Dec 2020 Kai Shu, Yichuan Li, Kaize Ding, Huan Liu

The existing text generation methods either afford limited supplementary information or lose consistency between the input and output which makes the synthetic news less trustworthy.

News Generation Text Summarization +1

MM-COVID: A Multilingual and Multimodal Data Repository for Combating COVID-19 Disinformation

2 code implementations8 Nov 2020 Yichuan Li, Bohan Jiang, Kai Shu, Huan Liu

The COVID-19 epidemic is considered as the global health crisis of the whole society and the greatest challenge mankind faced since World War Two.

Social and Information Networks Computers and Society

Feature Interaction-aware Graph Neural Networks

no code implementations19 Aug 2019 Kaize Ding, Yichuan Li, Jundong Li, Chenghao Liu, Huan Liu

Inspired by the immense success of deep learning, graph neural networks (GNNs) are widely used to learn powerful node representations and have demonstrated promising performance on different graph learning tasks.

Graph Learning Representation Learning

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