Fengda Zhu

645 total citations
14 papers, 370 citations indexed

About

Fengda Zhu is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Aerospace Engineering. According to data from OpenAlex, Fengda Zhu has authored 14 papers receiving a total of 370 indexed citations (citations by other indexed papers that have themselves been cited), including 12 papers in Computer Vision and Pattern Recognition, 10 papers in Artificial Intelligence and 1 paper in Aerospace Engineering. Recurrent topics in Fengda Zhu's work include Multimodal Machine Learning Applications (11 papers), Domain Adaptation and Few-Shot Learning (7 papers) and Topic Modeling (4 papers). Fengda Zhu is often cited by papers focused on Multimodal Machine Learning Applications (11 papers), Domain Adaptation and Few-Shot Learning (7 papers) and Topic Modeling (4 papers). Fengda Zhu collaborates with scholars based in Australia, China and Sweden. Fengda Zhu's co-authors include Xiaodan Liang, Xiaojun Chang, Yi Zhu, Qizhi Yu, Yi-Dong Shen, Zongyuan Ge, Chong Liu, Jianbin Jiao, Bingqian Lin and Yi Yang and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, 2021 IEEE/CVF International Conference on Computer Vision (ICCV) and Monash University Research Portal (Monash University).

In The Last Decade

Fengda Zhu

12 papers receiving 364 citations

Peers

Countries citing papers authored by Fengda Zhu

Since Specialization

Citations

This map shows the geographic impact of Fengda Zhu's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Fengda Zhu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Fengda Zhu more than expected).

Fields of papers citing papers by Fengda Zhu

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Fengda Zhu. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Fengda Zhu. The network helps show where Fengda Zhu may publish in the future.

Co-authorship network of co-authors of Fengda Zhu

This figure shows the co-authorship network connecting the top 25 collaborators of Fengda Zhu. A scholar is included among the top collaborators of Fengda Zhu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Fengda Zhu. Fengda Zhu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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14 of 14 papers shown

#	Work	Indexed citations
1	Vision Language Navigation with Knowledge-driven Environmental Dreamer 2023 ·Monash University Research Portal (Monash University) ·Fengda Zhu, Vincent C. S. Lee, Xiaojun Chang, Xiaodan Liang	0
2	Towards Deviation-Robust Agent Navigation via Perturbation-Aware Contrastive Learning 2023 ·IEEE Transactions on Pattern Analysis and Machine Intelligence ·Bingqian Lin, (unknown), Yi Zhu, Fengda Zhu, Xiaodan Liang, Qixiang Ye, Liang Lin	2
3	Visual-Language Navigation Pretraining via Prompt-based Environmental Self-exploration 2022 ·Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) ·(unknown), Fengda Zhu, (unknown), (unknown), Xiaodan Liang	16
4	Contrastive Instruction-Trajectory Learning for Vision-Language Navigation 2022 ·Proceedings of the AAAI Conference on Artificial Intelligence ·(unknown), Fengda Zhu, Yi Zhu, Bingqian Lin, Bing Wang, Xiaodan Liang	8
5	UPDeT: Universal Multi-agent RL via Policy Decoupling with Transformers 2021 ·International Conference on Learning Representations ·(unknown), Fengda Zhu, Xiaojun Chang, Xiaodan Liang	4
6	Vision-Language Navigation with Random Environmental Mixup 2021 ·2021 IEEE/CVF International Conference on Computer Vision (ICCV) ·Chong Liu, Fengda Zhu, Xiaojun Chang, Xiaodan Liang, Zongyuan Ge, Yi-Dong Shen	51
7	Transformer Based Multi-Agent Framework 2021 ·(unknown), Fengda Zhu, Xiaojun Chang, Xiaodan Liang	0
8	Self-Motivated Communication Agent for Real-World Vision-Dialog Navigation 2021 ·2021 IEEE/CVF International Conference on Computer Vision (ICCV) ·Yi Zhu, (unknown), Fengda Zhu, Xiaodan Liang, Qixiang Ye, Yutong Lu, Jianbin Jiao	14
9	SOON: Scenario Oriented Object Navigation with Graph-based Exploration 2021 ·Fengda Zhu, (unknown), Yi Zhu, Qizhi Yu, Xiaojun Chang, Xiaodan Liang	78
10	Vision-Dialog Navigation by Exploring Cross-Modal Memory 2020 ·RMIT Research Repository (RMIT University Library) ·Yi Zhu, Fengda Zhu, (unknown), Bingqian Lin, Jianbin Jiao, Xiaojun Chang, Xiaodan Liang	36
11	Vision-Language Navigation With Self-Supervised Auxiliary Reasoning Tasks 2020 ·RMIT Research Repository (RMIT University Library) ·Fengda Zhu, Yi Zhu, Xiaojun Chang, Xiaodan Liang	135
12	MMVG-INF-Etrol@TRECVID 2019: Activities in Extended Video. 2019 ·Monash University Research Portal (Monash University) ·Xiaojun Chang, Wenhe Liu, Po-Yao Huang, Changlin Li, Fengda Zhu, Mingfei Han, Mingjie Li, (unknown), (unknown), Guoliang Kang, Junwei Liang, Liangke Gui, Lijun Yu, (unknown), Jing Wen, Alexander G. Hauptmann	8
13	Mining knowledge graphs for vision tasks 2019 ·Monash University Research Portal (Monash University) ·Xiaojun Chang, Fengda Zhu, (unknown), Weili Guan, Zongyuan Ge, Minnan Luo	1
14	Sim-Real Joint Reinforcement Transfer for 3D Indoor Navigation 2019 ·Fengda Zhu, Linchao Zhu, Yi Yang	17

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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