Zhaojiang Lin

1.9k total citations
29 papers, 766 citations indexed

About

Zhaojiang Lin is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Signal Processing. According to data from OpenAlex, Zhaojiang Lin has authored 29 papers receiving a total of 766 indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Artificial Intelligence, 9 papers in Computer Vision and Pattern Recognition and 2 papers in Signal Processing. Recurrent topics in Zhaojiang Lin's work include Topic Modeling (20 papers), Natural Language Processing Techniques (13 papers) and Speech and dialogue systems (7 papers). Zhaojiang Lin is often cited by papers focused on Topic Modeling (20 papers), Natural Language Processing Techniques (13 papers) and Speech and dialogue systems (7 papers). Zhaojiang Lin collaborates with scholars based in Hong Kong, United States and Israel. Zhaojiang Lin's co-authors include Andrea Madotto, Pascale Fung, Genta Indra Winata, Peng Xu, Yingruo Fan, Pascale Fung, Wenping Wang, Taku Komura, Jamin Shin and Chien-Sheng Wu and has published in prestigious journals such as Proceedings of the ACM on Computer Graphics and Interactive Techniques, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) and Rare & Special e-Zone (The Hong Kong University of Science and Technology).

In The Last Decade

Zhaojiang Lin

27 papers receiving 729 citations

Peers — A (Enhanced Table)

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

Name h Career Trend Papers Cites
Zhaojiang Lin Hong Kong 13 587 254 79 53 46 29 766
Amit Das United States 12 234 0.4× 187 0.7× 110 1.4× 10 0.2× 26 0.6× 49 466
Stefan Ultes Germany 14 989 1.7× 158 0.6× 27 0.3× 11 0.2× 13 0.3× 63 1.1k
Geng Tu China 11 246 0.4× 58 0.2× 28 0.4× 22 0.4× 25 0.5× 21 408
Rohit Prasad United States 17 487 0.8× 397 1.6× 177 2.2× 6 0.1× 42 0.9× 86 897
Evandro Gouvêa United States 9 328 0.6× 86 0.3× 213 2.7× 30 0.6× 25 0.5× 17 461
Simon Keizer United Kingdom 18 978 1.7× 102 0.4× 48 0.6× 33 0.6× 15 0.3× 58 1.1k
Anjuli Kannan United States 11 778 1.3× 64 0.3× 419 5.3× 19 0.4× 25 0.5× 13 913
Hideki Kashioka Japan 15 546 0.9× 64 0.3× 180 2.3× 24 0.5× 12 0.3× 97 637
Blaise Thomson United Kingdom 24 2.4k 4.1× 313 1.2× 37 0.5× 26 0.5× 12 0.3× 38 2.5k
Min Peng China 11 119 0.2× 253 1.0× 61 0.8× 12 0.2× 39 0.8× 29 455

Countries citing papers authored by Zhaojiang Lin

Since Specialization
Citations

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

Fields of papers citing papers by Zhaojiang Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Zhaojiang Lin

This figure shows the co-authorship network connecting the top 25 collaborators of Zhaojiang Lin. A scholar is included among the top collaborators of Zhaojiang Lin 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 Zhaojiang Lin. Zhaojiang Lin 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.
Xin, Dong, Zhaojiang Lin, Andrea Madotto, et al.. (2025). Proactive Assistant Dialogue Generation from Streaming Egocentric Videos. 12055–12079.
2.
Li, Zekun, Zhiyu Chen, Mike Ross, et al.. (2024). Large Language Models as Zero-shot Dialogue State Tracker through Function Calling. 8688–8704. 1 indexed citations
3.
Qiu, Jielin, Andrea Madotto, Zhaojiang Lin, et al.. (2024). SnapNTell: Enhancing Entity-Centric Visual Question Answering with Retrieval Augmented Multimodal LLM. 247–266. 2 indexed citations
4.
Moon, Seungwhan, Andrea Madotto, Zhaojiang Lin, et al.. (2024). AnyMAL: An Efficient and Scalable Any-Modality Augmented Language Model. 1314–1332. 14 indexed citations
5.
Moon, Seungwhan, et al.. (2023). IMU2CLIP: Language-grounded Motion Sensor Translation with Multimodal Contrastive Learning. 13246–13253. 6 indexed citations
6.
Xu, Derek, Shuyan Dong, Changhan Wang, et al.. (2023). Introducing Semantics into Speech Encoders. 11413–11429.
7.
Bang, Yejin, Tiezheng Yu, Andrea Madotto, et al.. (2023). Enabling Classifiers to Make Judgements Explicitly Aligned with Human Values. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 311–325. 2 indexed citations
8.
Madotto, Andrea, Zhaojiang Lin, Zhenpeng Zhou, et al.. (2021). Continual Learning in Task-Oriented Dialogue Systems. Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing. 7452–7467. 48 indexed citations
9.
Lin, Zhaojiang, Andrea Madotto, Genta Indra Winata, & Pascale Fung. (2020). MinTL: Minimalist Transfer Learning for Task-Oriented Dialogue Systems. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 3391–3405. 82 indexed citations
10.
Lin, Zhaojiang, Andrea Madotto, & Pascale Fung. (2020). Exploring Versatile Generative Language Model Via Parameter-Efficient Transfer Learning. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 441–459. 51 indexed citations
11.
Winata, Genta Indra, Samuel Cahyawijaya, Zihan Liu, et al.. (2020). Learning Fast Adaptation on Cross-Accented Speech Recognition. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 1276–1280. 28 indexed citations
12.
Fan, Yingruo & Zhaojiang Lin. (2020). G2RL: Geometry-Guided Representation Learning for Facial Action Unit Intensity Estimation. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 731–737. 7 indexed citations
13.
Winata, Genta Indra, Samuel Cahyawijaya, Zihan Liu, et al.. (2020). Learning Fast Adaptation on Cross-Accented Speech Recognition. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 17 indexed citations
14.
Madotto, Andrea, Zhaojiang Lin, Yejin Bang, & Pascale Fung. (2020). The Adapter-Bot: All-In-One Controllable Conversational Model. arXiv (Cornell University). 16081–16083. 2 indexed citations
15.
Liu, Zihan, Genta Indra Winata, Peng Xu, Zhaojiang Lin, & Pascale Fung. (2020). Cross-lingual Spoken Language Understanding with Regularized Representation Alignment. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 7241–7251. 7 indexed citations
16.
Madotto, Andrea, Zhaojiang Lin, Chien-Sheng Wu, & Pascale Fung. (2019). Personalizing Dialogue Agents via Meta-Learning. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 5454–5459. 91 indexed citations
17.
Winata, Genta Indra, Zhaojiang Lin, Jamin Shin, Zihan Liu, & Pascale Fung. (2019). Hierarchical Meta-Embeddings for Code-Switching Named Entity Recognition. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 3539–3545. 7 indexed citations
18.
Winata, Genta Indra, Zhaojiang Lin, & Pascale Fung. (2019). Learning Multilingual Meta-Embeddings for Code-Switching Named Entity Recognition. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 181–186. 20 indexed citations
19.
Lin, Zhaojiang, Andrea Madotto, Jamin Shin, Peng Xu, & Pascale Fung. (2019). MoEL: Mixture of Empathetic Listeners. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 121–132. 106 indexed citations
20.
Lin, Zhaojiang, Genta Indra Winata, & Pascale Fung. (2019). Learning Comment Generation by Leveraging User-generated Data. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 7225–7229. 12 indexed citations

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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