Demo Data from VLDB 2026 / reviewers in the wild / expert
Cui Ding
dblp:209/1874
· DBLP profile ↗
8ranked-venue papers
3as first author
7since 2021 · last 2026
0009-0009-8808-9436ORCID · corroborated
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 5 · 2 first-author · 5 since 2021Graphics, computer vision, multimedia, augmented reality and games · 2 · 2 since 2021Human-computer interaction and ubiquitous computing · 2 · 2 since 2021Applied, interdisciplinary, general and emerging computing · 1 · 1 first-author · 1 since 2021
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Artificial intelligence
3 papers |
Information extraction and text analysis · 30% Speech recognition and synthesis · 30% Question answering and dialogue systems · 30% |
Topics — the 4 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Natural language and speech › Information extraction and text analysis
lexical semantics |
0.9 | 1 | 2025 | ConLoan: A Contrastive Multilingual Dataset for Evaluating Loanwords · ACL (1) 2025 |
Natural language and speech › Question answering and dialogue systems
machine reading comprehension |
0.9 | 1 | 2025 | Modeling Bottom-up Information Quality during Language Processing · EMNLP 2025 |
Natural language and speech › Speech recognition and synthesis › speech analysis
prosody |
0.9 | 1 | 2025 | Using Information Theory to Characterize Prosodic Typology: The Case of Tone, Pitch-Accent and Stress-Accent · ACL (1) 2025 |
Natural language and speech › Language models and text generation › evaluation of language models
multilingual evaluation |
0.3 | 1 | 2025 | ConLoan: A Contrastive Multilingual Dataset for Evaluating Loanwords · ACL (1) 2025 |
Methods — techniques the papers use, named apart from their topics
mutual information · 0.9multimodal language model · 0.9information theory · 0.9contrastive learning · 0.9bayesian model · 0.9
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2026 | The MultiplEYE Text Corpus: Towards a Diverse and Ever-Expanding Multilingual Text Corpus
Ramune Kaspere, Anna Bondar, Sergiu Nisioi, Maja Stegenwallner-Schütz, Hanne B. Søndergaard Knudsen, Ana Matic Skoric, Eva Pavlinusic Vilus, Dorota Klimek-Jankowska, Chiara Tschirner, Not Battesta Soliva, Deborah N. Jakobi, Cui Ding, Dima Abu Romi, Cengiz Acartürk, Matilda Agdler, Anton Marius Alexandru, Mohd Faizan Ansari, Annalisa Arcidiacono, Elizabete Ausma Velta Barisa, Ana Bautista, Lisa Beinborn, Yevgeni Berzak, Nedeljka Bjelanovic, Anna Isabelle Bothmann, Jan Brasser, Caterina Cacioli, Anila Çepani, Ilze Ceple, Adelina Çerpja, Dalí Chirino, Jan Chromý, Alessandro Corona Mendozza, Iria de-Dios-Flores, Nazik Dinçtopal Deniz, Ana Dosen, Kristian Elersic, Inmaculada Fajardo, Zigmunds Freibergs, Angelina Ganebnaya, Jessica Gomes, Annjo Klungervik Greenall, Alba Haveriku, Anamaria Hodivoianu, Yu-Yin Hsu, Amanda Isaksen, Andreia Janeiro, Kristine M. Jensen de López, Aleksandar Jevremovic, Vojislav Jovanovic, Hanna Kedzierska, Nik Kharlamov, Sara Kosutar, Nelda Kote, Vanja Kovic, Izabela Krejtz, Thyra Krosness, Oleksandra Kuvshynova, Eilam Lavy, Ella Lion, Marta Lockiewicz, Kaidi Lõo, Paula Luegi, Mircea Mihai Marin, Clara Martin, Svitlana Matvieieva, Diane C. Mézière, Xavier Mínguez-López, Valeriia Modina, Jurgita Motiejuniene, Marie-Luise Müller, Tolgonai Nasipbek kyzy, Jamal Abdul Nasir, Johanne Sofie Krog Nedergård, Aysegül Özkan, Patrizia Paggio, Marijan Palmovic, Maria Christina Panagiotopoulou, Alberto Parola, Helena Pérez, Klaudia Petersen, Anja Podlesek, Eva Pospísilová, Marta Praulina, Mikulás Preininger, Loredana Punga, Diego Rossini, Spela Rot, Habib Sani Yahaya, Irina A. Sekerina, Anne Gabija Skadina, Jordi Solé i Casals, Lonneke van der Plas, Saara M. Varjopuro, Spyridoula Varlokosta, João Veríssimo, Oskari Juhapekka Virtanen, Nemanja Vracar, Mila Dimitrova-Vulchanova, Ahmad Mustapha Wali, Peizheng Wu, Nilgün Yücel, Stefan Frank, Nora Hollenstein, Lena A. Jäger, Somayeh Bakhtiari |
LREC | 12 |
| 2025 | ConLoan: A Contrastive Multilingual Dataset for Evaluating LoanwordsabstractSina Ahmadi, Micha David Hess, Elena Álvarez-Mellado, Alessia Battisti, Cui Ding, Anne Göhring, Yingqiang Gao, Zifan Jiang, Andrianos Michail, Peshmerge Morad, Joel Niklaus, Maria Christina Panagiotopoulou, Stefano Perrella, Juri Opitz, Anastassia Shaitarova, Rico Sennrich. Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). 2025. Sina Ahmadi, Micha David Hess, Elena Álvarez Mellado, Alessia Battisti, Cui Ding, Anne Göhring, Yingqiang Gao, Zifan Jiang, Andrianos Michail, Peshmerge Morad, Joel Niklaus, Maria Christina Panagiotopoulou, Stefano Perrella, Juri Opitz, Anastassia Shaitarova, Rico Sennrich |
ACL (1) | 5 |
| 2025 | Using Information Theory to Characterize Prosodic Typology: The Case of Tone, Pitch-Accent and Stress-AccentabstractEthan Wilcox, Cui Ding, Giovanni Acampa, Tiago Pimentel, Alex Warstadt, Tamar I Regev. Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). 2025. Ethan Wilcox, Cui Ding, Giovanni Acampa, Tiago Pimentel, Alex Warstadt, Tamar I. Regev |
ACL (1) | 2 |
| 2025 | Modeling Bottom-up Information Quality during Language ProcessingabstractContemporary theories model language processing as integrating both top-down expectations and bottom-up inputs.One major prediction of such models is that the quality of the bottom-up inputs modulates ease of processing-noisy inputs should lead to difficult and effortful comprehension.We test this prediction in the domain of reading.First, we propose an information-theoretic operationalization for the "quality" of bottom-up information as the mutual information (MI) between visual information and word identity.We formalize this prediction in a mathematical model of reading as a Bayesian update.Second, we test our operationalization by comparing participants' reading times in conditions where words' information quality has been reduced, either by occluding their top or bottom half, with full words.We collect data in English and Chinese.We then use multimodal language models to estimate the mutual information between visual inputs and words.We use these data to estimate the specific effect of reduced information quality on reading times.Finally, we compare how information is distributed across visual forms.In English and Chinese, the upper half contains more information about word identity than the lower half.However, the asymmetry is more pronounced in English, a pattern which is reflected in the reading times. Cui Ding, Yanning Yin, Lena A. Jäger, Ethan Wilcox |
EMNLP | 1 |
| 2025 | MultiplEYE: Creating a multilingual eye-tracking-while-reading corpusabstractContains fulltext : 326363.pdf (Publisher’s version ) (Open Access) Deborah N. Jakobi, Maja Stegenwallner-Schütz, Nora Hollenstein, Cui Ding, Ramune Kaspere, Ana Matic Skoric, Eva Pavlinusic Vilus, Stefan Frank, Marie-Luise Müller, Kristine M. Jensen de López, Nik Kharlamov, Hanne B. Søndergaard Knudsen, Yevgeni Berzak, Ella Lion, Irina A. Sekerina, Cengiz Acartürk, Mohd Faizan Ansari, Katarzyna Harezlak, Pawel Kasprowski, Ana Bautista, Lisa Beinborn, Anna Bondar, Antonia Boznou, Leah Bradshaw, Jana Mara Hofmann, Thyra Krosness, Not Battesta Soliva, Anila Çepani, Kristina Cergol, Ana Dosen, Marijan Palmovic, Adelina Çerpja, Dalí Chirino, Jan Chromý, Vera Demberg, Iza Skrjanec, Nazik Dinçtopal Deniz, Inmaculada Fajardo, Mariola Giménez-Salvador, Xavier Mínguez-López, Maros Filip, Zigmunds Freibergs, Jessica Gomes, Andreia Janeiro, Paula Luegi, João Veríssimo, Sasho Gramatikov, Jana Hasenäcker, Alba Haveriku, Nelda Kote, Muhammad Mohsin Kamal, Hanna Kedzierska, Dorota Klimek-Jankowska, Sara Kosutar, Daniel Krakowczyk, Izabela Krejtz, Marta Lockiewicz, Kaidi Lõo, Jurgita Motiejuniene, Jamal Abdul Nasir, Johanne Sofie Krog Nedergård, Aysegül Özkan, Mikulás Preininger, Loredana Punga, David R. Reich, Chiara Tschirner, Spela Rot, Andreas Säuberli, Jordi Solé i Casals, Ekaterina Strati, Igor Svoboda, Evis Trandafili, Spyridoula Varlokosta, Mila Dimitrova-Vulchanova, Lena A. Jäger |
ETRA | 4 |
| 2025 | Proxy-Based Pre-Training for Eye-Tracking Applications
David R. Reich, Cui Ding, Lena S. Bolliger, Patrick Haller 0001, Paul Prasse, Lena A. Jäger |
ETRA | 2 |
| 2024 | How does dependency type mediate gender agreement in Russian?
Cui Ding, Ethan Wilcox, Metehan Oguz, Zuzanna Fuchs |
CogSci | 1 |
| 2017 | Design and Implementation of Programmable Nodes in Software Defined Sensor NetworksabstractIn this paper, we design and implement the programmable nodes in software-defined sensor networks. Combining the emerging software defined networking (SDN) and the existing wireless sensor networks (WSNs), we propose an SDN-based sensor network architecture, called as software defined sensor networks (SDSN), which is composed of one centralized controller node, named as SDSN programmable controller node, on the control plane and several software-defined sensor nodes, named as SDSN programmable sensor nodes, on the data plane. The centralized controller node is configured for network control, and the sensor nodes are utilized to transfer general-purpose packets. The behavior rules of the programmable nodes in the SDSN can be reconfigured through wireless communication. Hence, the goal of this paper is to design and implement SDSN programmable controller node and SDSN programmable sensor node whose behavior can be reconfigured. We develop the programmable controller node using NanoPi and CC2530 modules, and the programmable sensor nodes using CC2530 modules. Finally, the experimental results show data acquisition and transmission in the data plane, and network centralized management in the control plane. Moreover, the experimental results demonstrate that the programmable nodes have been designed own greater flexibility and scalability compared to traditional WSN nodes. Cui Ding, Lianfeng Shen |
VTC Spring | 1 |