Ziwei Ji

5.1k total citations · 2 hit papers
22 papers, 2.1k citations indexed

About

Ziwei Ji is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Radiology, Nuclear Medicine and Imaging. According to data from OpenAlex, Ziwei Ji has authored 22 papers receiving a total of 2.1k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Artificial Intelligence, 5 papers in Computer Vision and Pattern Recognition and 3 papers in Radiology, Nuclear Medicine and Imaging. Recurrent topics in Ziwei Ji's work include Topic Modeling (6 papers), Stochastic Gradient Optimization Techniques (6 papers) and Natural Language Processing Techniques (6 papers). Ziwei Ji is often cited by papers focused on Topic Modeling (6 papers), Stochastic Gradient Optimization Techniques (6 papers) and Natural Language Processing Techniques (6 papers). Ziwei Ji collaborates with scholars based in Hong Kong, United States and Canada. Ziwei Ji's co-authors include Tiezheng Yu, Pascale Fung, Yan Xu, Dan Su, Etsuko Ishii, Nayeon Lee, Andrea Madotto, Rita Frieske, Wenliang Dai and Samuel Cahyawijaya and has published in prestigious journals such as Applied Physics Letters, ACM Computing Surveys and Surgical Endoscopy.

In The Last Decade

Ziwei Ji

20 papers receiving 2.0k citations

Hit Papers

align trajectories

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.

Survey of Hallucination in Natural Language Generation

2022 1.5k citations Ziwei Ji, Nayeon Lee et al. ACM Computing Surveys profile →
A Multitask, Multilingual, Multimodal Evaluation of ChatGPT on Reasoning, Hallucination, and Interactivity

2023 388 citations Yejin Bang, Samuel Cahyawijaya et al. Rare & Special e-Zone (The Hong Kong University of Science and Technology) profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Ziwei Ji Hong Kong	10	1.3k	378	259	170	146	22	2.1k
Tiezheng Yu Hong Kong	11	1.4k 1.1×	382 1.0×	277 1.1×	204 1.2×	150 1.0×	19	2.2k
Andrea Madotto Hong Kong	17	1.6k 1.3×	293 0.8×	214 0.8×	280 1.6×	117 0.8×	42	2.4k
Etsuko Ishii Hong Kong	5	916 0.7×	296 0.8×	185 0.7×	124 0.7×	116 0.8×	11	1.6k
Nayeon Lee Hong Kong	8	947 0.7×	297 0.8×	192 0.7×	122 0.7×	116 0.8×	16	1.7k
Rita Frieske Hong Kong	2	885 0.7×	291 0.8×	171 0.7×	114 0.7×	117 0.8×	3	1.5k
Shizhu He China	13	1.4k 1.1×	245 0.6×	262 1.0×	170 1.0×	79 0.5×	39	1.9k
Himabindu Lakkaraju United States	19	1.4k 1.0×	182 0.5×	200 0.8×	114 0.7×	40 0.3×	44	2.2k
Carrie J. Cai United States	20	1.2k 0.9×	279 0.7×	308 1.2×	373 2.2×	65 0.4×	38	2.5k
Franck Dernoncourt United States	20	951 0.7×	225 0.6×	102 0.4×	183 1.1×	99 0.7×	102	1.4k

Countries citing papers authored by Ziwei Ji

Since Specialization

Citations

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

Fields of papers citing papers by Ziwei Ji

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Ziwei Ji

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

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

Lin, Jiajia, et al.. (2024). Conventional versus rubber band traction-assisted endoscopic submucosal dissection for rectal neuroendocrine tumors: a single-center retrospective study (with video). Surgical Endoscopy. 38(11). 6485–6492. 2 indexed citations

Lovenia, Holy, Wenliang Dai, Samuel Cahyawijaya, Ziwei Ji, & Pascale Fung. (2024). Negative Object Presence Evaluation (NOPE) to Measure Object Hallucination in Vision-Language Models. 37–58. 7 indexed citations

Ji, Ziwei, Delong Chen, Etsuko Ishii, et al.. (2024). LLM Internal States Reveal Hallucination Risk Faced With a Query. 88–104. 4 indexed citations

Ji, Ziwei, et al.. (2024). ANAH: Analytical Annotation of Hallucinations in Large Language Models. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 8135–8158. 1 indexed citations

Ji, Ziwei, Tiezheng Yu, Yan Xu, et al.. (2023). Towards Mitigating LLM Hallucination via Self Reflection. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 1827–1843. 89 indexed citations

Yu, Tiezheng, Ziwei Ji, & Pascale Fung. (2023). Improving Query-Focused Meeting Summarization with Query-Relevant Knowledge. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 48–54. 1 indexed citations

Dai, Wenliang, Zihan Liu, Ziwei Ji, Dan Su, & Pascale Fung. (2023). Plausible May Not Be Faithful: Probing Object Hallucination in Vision-Language Pre-training. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 2136–2148. 16 indexed citations

Ishii, Etsuko, Bryan Wilie, Ziwei Ji, et al.. (2023). Contrastive Learning for Inference in Dialogue. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 10202–10221. 1 indexed citations

Ji, Ziwei, Zihan Liu, Nayeon Lee, et al.. (2023). RHO: Reducing Hallucination in Open-domain Dialogues with Knowledge Grounding. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 4504–4522. 16 indexed citations

10.

Bang, Yejin, Samuel Cahyawijaya, Nayeon Lee, et al.. (2023). A Multitask, Multilingual, Multimodal Evaluation of ChatGPT on Reasoning, Hallucination, and Interactivity. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 675–718. 388 indexed citations breakdown →

11.

Ji, Ziwei, Nayeon Lee, Rita Frieske, et al.. (2022). Survey of Hallucination in Natural Language Generation. ACM Computing Surveys. 55(12). 1–38. 1469 indexed citations breakdown →

12.

Ji, Ziwei, Samuel Cahyawijaya, Etsuko Ishii, et al.. (2022). VScript: Controllable Script Generation with Visual Presentation. Rare & Special e-Zone (The Hong Kong University of Science and Technology). 1–8.

13.

Ji, Ziwei & Matus Telgarsky. (2021). Characterizing the implicit bias via a primal-dual analysis.. 772–804. 1 indexed citations

14.

Liu, Zihan, Yan Xu, Tiezheng Yu, et al.. (2021). CrossNER: Evaluating Cross-Domain Named Entity Recognition. Proceedings of the AAAI Conference on Artificial Intelligence. 35(15). 13452–13460. 75 indexed citations

15.

Ji, Ziwei & Matus Telgarsky. (2020). Polylogarithmic width suffices for gradient descent to achieve arbitrarily small test error with shallow ReLU networks. arXiv (Cornell University). 10 indexed citations

16.

Ji, Ziwei & Matus Telgarsky. (2020). Directional convergence and alignment in deep learning. Neural Information Processing Systems. 33. 17176–17186. 2 indexed citations

17.

Ji, Ziwei, et al.. (2020). Neural tangent kernels, transportation mappings, and universal approximation. arXiv (Cornell University). 2 indexed citations

18.

Ji, Ziwei, Miroslav Dudı́k, Robert E. Schapire, & Matus Telgarsky. (2020). Gradient descent follows the regularization path for general losses.. Conference on Learning Theory. 2109–2136.

19.

Ji, Ziwei & Matus Telgarsky. (2019). The implicit bias of gradient descent on nonseparable data. Conference on Learning Theory. 1772–1798. 14 indexed citations

20.

Ji, Ziwei & Matus Telgarsky. (2019). Gradient descent aligns the layers of deep linear networks. International Conference on Learning Representations. 15 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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