Leonardo Neves
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
35
Venues
16
Active years
2016–2026
Best venue rank
A*
Where they publish
Papers
35 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | SIGIR | Semantic IDs for Recommender Systems at Snapchat: Use Cases, Technical Challenges, and Design Choices. | Clark Mingxuan Ju, Tong Zhao, Leonardo Neves, Liam Collins, Bhuvesh Kumar, Jiwen Ren, Lili Zhang, Wenfeng Zhuo, Wen Zhang, Xiao Bai, Jinchao Li, Karthik Iyer, Zihao Fan, Yilun Xu, Yiwen Chen, Peicheng Yu, Manish Malik, Neil Shah |
| 2025 | CIKM | Generative Recommendation with Semantic IDs: A Practitioner's Handbook. | Clark Mingxuan Ju, Liam Collins, Leonardo Neves, Bhuvesh Kumar, Louis Yufeng Wang, Tong Zhao, Neil Shah |
| 2025 | ICML | Learning Along the Arrow of Time: Hyperbolic Geometry for Backward-Compatible Representation Learning. | Ngoc Bui, Menglin Yang, Runjin Chen, Leonardo Neves, Mingxuan Ju, Rex Ying, Neil Shah, Tong Zhao |
| 2025 | KDD | Revisiting Self-attention for Cross-domain Sequential Recommendation. | Clark Mingxuan Ju, Leonardo Neves, Bhuvesh Kumar, Liam Collins, Tong Zhao, Yuwei Qiu, Qing Dou, Sohail Nizam, Sen Yang, Neil Shah |
| 2025 | WWW | GraphHash: Graph Clustering Enables Parameter Efficiency in Recommender Systems. | Xinyi Wu, Donald Loveland, Runjin Chen, Yozen Liu, Xin Chen, Leonardo Neves, Ali Jadbabaie, Mingxuan Ju, Neil Shah, Tong Zhao |
| 2025 | SIGIR | Learning Universal User Representations Leveraging Cross-domain User Intent at Snapchat. | Clark Mingxuan Ju, Leonardo Neves, Bhuvesh Kumar, Liam Collins, Tong Zhao, Yuwei Qiu, Qing Dou, Yang Zhou, Sohail Nizam, Rengim Aykan Ozturk, Yvette Liu, Sen Yang, Manish Malik, Neil Shah |
| 2024 | ACL | Explainability and Hate Speech: Structured Explanations Make Social Media Moderators Faster. | Agostina Calabrese, Leonardo Neves, Neil Shah, Maarten W. Bos, Bjrn Ross, Mirella Lapata, Francesco Barbieri |
| 2024 | SIGIR | General-Purpose User Modeling with Behavioral Logs: A Snapchat Case Study. | Qixiang Fang, Zhihan Zhou, Francesco Barbieri, Yozen Liu, Leonardo Neves, Dong Nguyen, Daniel L. Oberski, Maarten W. Bos, Ron Dotsch |
| 2023 | EMNLP | SuperTweetEval: A Challenging, Unified and Heterogeneous Benchmark for Social Media NLP Research. | Dimosthenis Antypas, Asahi Ushio, Francesco Barbieri, Leonardo Neves, Kiamehr Rezaee, Luis Espinosa Anke, Jiaxin Pei, Jos Camacho-Collados |
| 2023 | ICWSM | Predicting Future Location Categories of Users in a Large Social Platform. | Raiyan Abdul Baten, Yozen Liu, Heinrich Peters, Francesco Barbieri, Neil Shah, Leonardo Neves, Maarten W. Bos |
| 2022 | ACL | TimeLMs: Diachronic Language Models from Twitter. | Daniel Loureiro, Francesco Barbieri, Leonardo Neves, Luis Espinosa Anke, Jos Camacho-Collados |
| 2022 | COLING | Twitter Topic Classification. | Dimosthenis Antypas, Asahi Ushio, Jos Camacho-Collados, Vtor Silva, Leonardo Neves, Francesco Barbieri |
| 2022 | COLING | TempoWiC: An Evaluation Benchmark for Detecting Meaning Shift in Social Media. | Daniel Loureiro, Aminette D'Souza, Areej Nasser Muhajab, Isabella A. White, Gabriel Wong, Luis Espinosa Anke, Leonardo Neves, Francesco Barbieri, Jos Camacho-Collados |
| 2022 | EMNLP | Style Transfer as Data Augmentation: A Case Study on Named Entity Recognition. | Shuguang Chen, Leonardo Neves, Thamar Solorio |
| 2022 | IJCNLP | Named Entity Recognition in Twitter: A Dataset and Analysis on Short-Term Temporal Shifts. | Asahi Ushio, Francesco Barbieri, Vtor Silva, Leonardo Neves, Jos Camacho-Collados |
| 2022 | ICWSM | Sunshine with a Chance of Smiles: How Does Weather Impact Sentiment on Social Media? | Julie Jiang, Nils Murrugarra-Llerena, Maarten W. Bos, Yozen Liu, Neil Shah, Leonardo Neves, Francesco Barbieri |
| 2021 | AAAI | Data Augmentation for Graph Neural Networks. | Tong Zhao, Yozen Liu, Leonardo Neves, Oliver J. Woodford, Meng Jiang, Neil Shah |
| 2021 | CHI | AdverTiming Matters: Examining User Ad Consumption for Effective Ad Allocations on Social Media. | Koustuv Saha, Yozen Liu, Nicholas Vincent, Farhan Asif Chowdhury, Leonardo Neves, Neil Shah, Maarten W. Bos |
| 2021 | CIKM | NED: Niche Detection in User Content Consumption Data. | Ekta Gujral, Leonardo Neves, Evangelos E. Papalexakis, Neil Shah |
| 2021 | EMNLP | Data Augmentation for Cross-Domain Named Entity Recognition. | Shuguang Chen, Gustavo Aguilar, Leonardo Neves, Thamar Solorio |
| 2021 | ICWSM | CEAM: The Effectiveness of Cyclic and Ephemeral Attention Models of User Behavior on Social Platforms. | Farhan Asif Chowdhury, Yozen Liu, Koustuv Saha, Nicholas Vincent, Leonardo Neves, Neil Shah, Maarten W. Bos |
| 2021 | NAACL | On Transferability of Bias Mitigation Effects in Language Model Fine-Tuning. | Xisen Jin, Francesco Barbieri, Brendan Kennedy, Aida Mostafazadeh Davani, Leonardo Neves, Xiang Ren |
| 2020 | ACL | LEAN-LIFE: A Label-Efficient Annotation Framework Towards Learning from Explanation. | Dong-Ho Lee, Rahul Khanna, Bill Yuchen Lin, Seyeon Lee, Qinyuan Ye, Elizabeth Boschee, Leonardo Neves, Xiang Ren |
| 2020 | CIKM | Social Factors in Closed-Network Content Consumption. | Parisa Kaghazgaran, Maarten W. Bos, Leonardo Neves, Neil Shah |
| 2020 | COLING | The Devil is in the Details: Evaluating Limitations of Transformer-based Methods for Granular Tasks. | Brihi Joshi, Neil Shah, Francesco Barbieri, Leonardo Neves |
| 2020 | EMNLP | TweetEval: Unified Benchmark and Comparative Evaluation for Tweet Classification. | Francesco Barbieri, Jos Camacho-Collados, Luis Espinosa Anke, Leonardo Neves |
| 2020 | ICLR | Learning from Explanations with Neural Execution Tree. | Ziqi Wang, Yujia Qin, Wenxuan Zhou, Jun Yan, Qinyuan Ye, Leonardo Neves, Zhiyuan Liu, Xiang Ren |
| 2020 | WWW | NERO: A Neural Rule Grounding Framework for Label-Efficient Relation Extraction. | Wenxuan Zhou, Hongtao Lin, Bill Yuchen Lin, Ziqi Wang, Junyi Du, Leonardo Neves, Xiang Ren |
| 2019 | NAACL | Train One Get One Free: Partially Supervised Neural Network for Bug Report Duplicate Detection and Clustering. | Lahari Poddar, Leonardo Neves, William Brendel, Lus Marujo, Sergey Tulyakov, Pradeep Karuturi |
| 2018 | ACL | Multimodal Named Entity Disambiguation for Noisy Social Media Posts. | Seungwhan Moon, Leonardo Neves, Vitor Carvalho |
| 2018 | ACL | Visual Attention Model for Name Tagging in Multimodal Social Media. | Di Lu, Leonardo Neves, Vitor Carvalho, Ning Zhang, Heng Ji |
| 2018 | NAACL | Multimodal Named Entity Recognition for Short Social Media Posts. | Seungwhan Moon, Leonardo Neves, Vitor Carvalho |
| 2017 | ICASSP | Visual features for context-aware speech recognition. | Abhinav Gupta, Yajie Miao, Leonardo Neves, Florian Metze |
| 2016 | ICASSP | Audio-based multimedia event detection using deep recurrent neural networks. | Yun Wang, Leonardo Neves, Florian Metze |
| 2016 | SC | Integrating Domain-Data Steering with Code-Profiling Tools to Debug Data-Intensive Workflows. | Vtor Silva, Leonardo Neves, Renan Souza, Alvaro L. G. A. Coutinho, Daniel de Oliveira, Marta Mattoso |