Yali Du

1.0k total citations · 1 hit paper
35 papers, 516 citations indexed

About

Yali Du is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Management Science and Operations Research. According to data from OpenAlex, Yali Du has authored 35 papers receiving a total of 516 indexed citations (citations by other indexed papers that have themselves been cited), including 25 papers in Artificial Intelligence, 6 papers in Computer Vision and Pattern Recognition and 5 papers in Management Science and Operations Research. Recurrent topics in Yali Du's work include Reinforcement Learning in Robotics (13 papers), Adversarial Robustness in Machine Learning (5 papers) and Artificial Intelligence in Games (4 papers). Yali Du is often cited by papers focused on Reinforcement Learning in Robotics (13 papers), Adversarial Robustness in Machine Learning (5 papers) and Artificial Intelligence in Games (4 papers). Yali Du collaborates with scholars based in United Kingdom, China and Australia. Yali Du's co-authors include Meng Fang, Lei Han, Alois Knoll, Shangding Gu, Chengqi Zhang, Yang Long, Ling Chen, Jun Wang, Gangyan Xu and Dacheng Tao and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Artificial Intelligence and IEEE Transactions on Cybernetics.

In The Last Decade

Yali Du

30 papers receiving 497 citations

Hit Papers

A Review of Safe Reinforcement Learning: Methods, Theorie... 2024 2026 2025 2024 20 40 60
What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

  1. A Review of Safe Reinforcement Learning: Methods, Theories, and Applications
    2024 66 citations Shangding Gu, Yang Long et al. IEEE Transactions on Pattern Analysis and Machine Intelligence profile →

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Yali Du United Kingdom 12 275 93 88 77 61 35 516
Bilal Kartal United States 9 291 1.1× 117 1.3× 77 0.9× 67 0.9× 123 2.0× 15 542
Daniel J. Mankowitz Israel 8 301 1.1× 127 1.4× 81 0.9× 46 0.6× 68 1.1× 19 540
Sven Gronauer Germany 3 190 0.7× 84 0.9× 54 0.6× 43 0.6× 115 1.9× 6 435
Wee Sun Lee Singapore 10 492 1.8× 63 0.7× 218 2.5× 39 0.5× 83 1.4× 15 745
Linbo Luo Singapore 15 181 0.7× 149 1.6× 173 2.0× 34 0.4× 59 1.0× 40 637
Zhuangdi Zhu United States 8 269 1.0× 76 0.8× 108 1.2× 31 0.4× 112 1.8× 17 647
Ma Liang China 13 139 0.5× 153 1.6× 51 0.6× 80 1.0× 79 1.3× 77 542
Ayad Turky Australia 13 288 1.0× 61 0.7× 63 0.7× 67 0.9× 52 0.9× 35 566
Tim Brys Belgium 11 300 1.1× 127 1.4× 30 0.3× 43 0.6× 34 0.6× 28 409
Chih‐Hong Cheng Germany 11 124 0.5× 41 0.4× 47 0.5× 45 0.6× 22 0.4× 31 311

Countries citing papers authored by Yali Du

Since Specialization
Citations

This map shows the geographic impact of Yali Du'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 Yali Du with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Yali Du more than expected).

Fields of papers citing papers by Yali Du

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Yali Du. 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 Yali Du. The network helps show where Yali Du may publish in the future.

Co-authorship network of co-authors of Yali Du

This figure shows the co-authorship network connecting the top 25 collaborators of Yali Du. A scholar is included among the top collaborators of Yali Du 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 Yali Du. Yali Du is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Hu, Yulong, Yali Du, & Sen Li. (2025). Real-time coordination of human couriers and drones for on-demand food-delivery platforms: A multi-stage risk-aware multi-agent reinforcement learning framework. Transportation Research Part C Emerging Technologies. 181. 105381–105381.
2.
Du, Yali, et al.. (2025). RAT: Adversarial Attacks on Deep Reinforcement Agents for Targeted Behaviors. Proceedings of the AAAI Conference on Artificial Intelligence. 39(15). 15453–15461.
3.
Li, Aming, et al.. (2024). Efficient and scalable reinforcement learning for large-scale network control. Nature Machine Intelligence. 15 indexed citations
4.
Pierazzi, Fabio, et al.. (2024). Characterizing Physical Adversarial Attacks on Robot Motion Planners. Research Portal (King's College London). 14319–14325. 1 indexed citations
5.
Gu, Shangding, Yang Long, Yali Du, et al.. (2024). A Review of Safe Reinforcement Learning: Methods, Theories, and Applications. IEEE Transactions on Pattern Analysis and Machine Intelligence. 46(12). 11216–11235. 66 indexed citations breakdown →
6.
Zhang, Junge, et al.. (2024). TAPE: Leveraging Agent Topology for Cooperative Multi-Agent Policy Gradient. Proceedings of the AAAI Conference on Artificial Intelligence. 38(16). 17496–17504.
7.
Chen, Sirui, et al.. (2024). STAS: Spatial-Temporal Return Decomposition for Solving Sparse Rewards Problems in Multi-agent Reinforcement Learning. Proceedings of the AAAI Conference on Artificial Intelligence. 38(16). 17337–17345. 2 indexed citations
8.
Yang, Ming, et al.. (2024). Team-wise effective communication in multi-agent reinforcement learning. Autonomous Agents and Multi-Agent Systems. 38(2). 4 indexed citations
9.
Willis, Richard H., Yali Du, Joel Z. Leibo, & G. Flucke. (2024). Resolving social dilemmas with minimal reward transfer. Autonomous Agents and Multi-Agent Systems. 38(2). 49–49.
10.
Gu, Shangding, Yuanpei Chen, Yali Du, et al.. (2023). Safe multi-agent reinforcement learning for multi-robot control. Artificial Intelligence. 319. 103905–103905. 53 indexed citations
11.
Zhang, Junge, et al.. (2023). Leveraging Joint-Action Embedding in Multiagent Reinforcement Learning for Cooperative Games. IEEE Transactions on Games. 16(2). 470–482. 4 indexed citations
12.
Fang, Meng, et al.. (2023). Shared dynamics learning for large-scale traveling salesman problem. Advanced Engineering Informatics. 56. 102005–102005. 3 indexed citations
13.
Black, Elizabeth, Martim Brandão, Oana Cocarascu, et al.. (2022). Reasoning and interaction for social artificial intelligence. AI Communications. 35(4). 309–325. 3 indexed citations
14.
Du, Yali, Bo Liu, Ziqi Liu, et al.. (2021). Learning Correlated Communication Topology in Multi-Agent Reinforcement learning. Autonomous Agents and Multi-Agent Systems. 456–464. 18 indexed citations
15.
Fang, Meng, et al.. (2021). Reinforcement Learning With Multiple Relational Attention for Solving Vehicle Routing Problems. IEEE Transactions on Cybernetics. 52(10). 11107–11120. 81 indexed citations
16.
Fang, Meng, et al.. (2020). Deep Reinforcement Learning with Stacked Hierarchical Attention for Text-based Games. UTS ePRESS (University of Technology Sydney). 33. 16495–16507. 5 indexed citations
17.
Du, Yali, Lei Han, Meng Fang, et al.. (2019). LIIR: Learning Individual Intrinsic Reward in Multi-Agent Reinforcement Learning. Neural Information Processing Systems. 32. 4403–4414. 45 indexed citations
18.
Han, Lei, Peng Sun, Yali Du, et al.. (2019). Grid-Wise Control for Multi-Agent Reinforcement Learning in Video Game AI.. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 2576–2585. 16 indexed citations
19.
Fang, Meng, Tianyi Zhou, Yali Du, Lei Han, & Zhengyou Zhang. (2019). Curriculum-guided Hindsight Experience Replay. Neural Information Processing Systems. 32. 12602–12613. 50 indexed citations
20.

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.

Explore authors with similar magnitude of impact

Breakdown of academic impact, for papers by Bilal Kartal Breakdown of academic impact, for papers by Daniel J. Mankowitz Breakdown of academic impact, for papers by Sven Gronauer Breakdown of academic impact, for papers by Wee Sun Lee Breakdown of academic impact, for papers by Linbo Luo Breakdown of academic impact, for papers by Zhuangdi Zhu Breakdown of academic impact, for papers by Ma Liang Breakdown of academic impact, for papers by Ayad Turky Breakdown of academic impact, for papers by Tim Brys Breakdown of academic impact, for papers by Chih‐Hong Cheng
Rankless by CCL
2026