Leonardo Neves

76 papers A* 9A 6B 3Misc 2Journal 39Unranked 17

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Exploiting ID-Text Complementarity via Ensembling for Sequential Recommendation. CoRR Liam Collins, Bhuvesh Kumar, Clark Mingxuan Ju, Tong Zhao, Donald Loveland, Leonardo Neves, Neil Shah
2025	A	`conf`	Generative Recommendation with Semantic IDs: A Practitioner's Handbook. CIKM Clark Mingxuan Ju, Liam Collins, Leonardo Neves, Bhuvesh Kumar, Louis Yufeng Wang, Tong Zhao, Neil Shah
2025	J	`jnl`	Generative Recommendation with Semantic IDs: A Practitioner's Handbook. CoRR Clark Mingxuan Ju, Liam Collins, Leonardo Neves, Bhuvesh Kumar, Louis Yufeng Wang, Tong Zhao, Neil Shah
2025	A*	`conf`	GraphHash: Graph Clustering Enables Parameter Efficiency in Recommender Systems. WWW Xinyi Wu, Donald Loveland, Runjin Chen, Yozen Liu, Xin Chen, Leonardo Neves, Ali Jadbabaie, Mingxuan Ju, Neil Shah, Tong Zhao
2025	A*	`conf`	Learning Along the Arrow of Time: Hyperbolic Geometry for Backward-Compatible Representation Learning. ICML Ngoc Bui, Menglin Yang, Runjin Chen, Leonardo Neves, Mingxuan Ju, Rex Ying, Neil Shah, Tong Zhao
2025	J	`jnl`	Learning Along the Arrow of Time: Hyperbolic Geometry for Backward-Compatible Representation Learning. CoRR Ngoc Bui, Menglin Yang, Runjin Chen, Leonardo Neves, Mingxuan Ju, Rex Ying, Neil Shah, Tong Zhao
2025	A*	`conf`	Learning Universal User Representations Leveraging Cross-domain User Intent at Snapchat. SIGIR 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
2025	J	`jnl`	Learning Universal User Representations Leveraging Cross-domain User Intent at Snapchat. CoRR Clark Mingxuan Ju, Leonardo Neves, Bhuvesh Kumar, Liam Collins, Tong Zhao, Yuwei Qiu, Qing Dou, Yang Zhou, Sohail Nizam, Rengim Ozturk, Yvette Liu, Sen Yang, Manish Malik, Neil Shah
2025	—	`conf`	Revisiting Self-attention for Cross-domain Sequential Recommendation. KDD (2) Clark Mingxuan Ju, Leonardo Neves, Bhuvesh Kumar, Liam Collins, Tong Zhao, Yuwei Qiu, Qing Dou, Sohail Nizam, Sen Yang, Neil Shah
2025	J	`jnl`	Revisiting Self-attention for Cross-domain Sequential Recommendation. CoRR Clark Mingxuan Ju, Leonardo Neves, Bhuvesh Kumar, Liam Collins, Tong Zhao, Yuwei Qiu, Qing Dou, Sohail Nizam, Sen Yang, Neil Shah
2024	J	`jnl`	Enhancing Item Tokenization for Generative Recommendation through Self-Improvement. CoRR Runjin Chen, Mingxuan Ju, Ngoc Bui, Dimosthenis Antypas, Stanley Cai, Xiaopeng Wu, Leonardo Neves, Zhangyang Wang, Neil Shah, Tong Zhao
2024	—	`conf`	Explainability and Hate Speech: Structured Explanations Make Social Media Moderators Faster. ACL (Short Papers) Agostina Calabrese, Leonardo Neves, Neil Shah, Maarten W. Bos, Björn Ross, Mirella Lapata, Francesco Barbieri
2024	J	`jnl`	Explainability and Hate Speech: Structured Explanations Make Social Media Moderators Faster. CoRR Agostina Calabrese, Leonardo Neves, Neil Shah, Maarten W. Bos, Björn Ross, Mirella Lapata, Francesco Barbieri
2024	A*	`conf`	General-Purpose User Modeling with Behavioral Logs: A Snapchat Case Study. SIGIR Qixiang Fang, Zhihan Zhou, Francesco Barbieri, Yozen Liu, Leonardo Neves, Dong Nguyen, Daniel L. Oberski, Maarten W. Bos, Ron Dotsch
2024	J	`jnl`	GraphHash: Graph Clustering Enables Parameter Efficiency in Recommender Systems. CoRR Xinyi Wu, Donald Loveland, Runjin Chen, Yozen Liu, Xin Chen, Leonardo Neves, Ali Jadbabaie, Clark Mingxuan Ju, Neil Shah, Tong Zhao
2024	J	`jnl`	USE: Dynamic User Modeling with Stateful Sequence Models. CoRR Zhihan Zhou, Qixiang Fang, Leonardo Neves, Francesco Barbieri, Yozen Liu, Han Liu, Maarten W. Bos, Ron Dotsch
2024	J	`jnl`	Unpacking the exploration-exploitation tradeoff on Snapchat: The relationships between users' exploration-exploitation interests and server log data. Comput. Hum. Behav. Diego Gómez-Zará, Yozen Liu, Leonardo Neves, Neil Shah, Maarten W. Bos
2023	J	`jnl`	Context-aware Adversarial Attack on Named Entity Recognition. CoRR Shuguang Chen, Leonardo Neves, Thamar Solorio
2023	J	`jnl`	Designing and Evaluating General-Purpose User Representations Based on Behavioral Logs from a Measurement Process Perspective: A Case Study with Snapchat. CoRR Qixiang Fang, Zhihan Zhou, Francesco Barbieri, Yozen Liu, Leonardo Neves, Dong Nguyen, Daniel L. Oberski, Maarten W. Bos, Ron Dotsch
2023	A	`conf`	Predicting Future Location Categories of Users in a Large Social Platform. ICWSM Raiyan Abdul Baten, Yozen Liu, Heinrich Peters, Francesco Barbieri, Neil Shah, Leonardo Neves, Maarten W. Bos
2023	—	`conf`	SemEval-2023 Task 9: Multilingual Tweet Intimacy Analysis. SemEval@ACL Jiaxin Pei, Vítor Silva, Maarten W. Bos, Yozen Liu, Leonardo Neves, David Jurgens, Francesco Barbieri
2023	—	`conf`	SuperTweetEval: A Challenging, Unified and Heterogeneous Benchmark for Social Media NLP Research. EMNLP (Findings) Dimosthenis Antypas, Asahi Ushio, Francesco Barbieri, Leonardo Neves, Kiamehr Rezaee, Luis Espinosa Anke, Jiaxin Pei, José Camacho-Collados
2023	J	`jnl`	SuperTweetEval: A Challenging, Unified and Heterogeneous Benchmark for Social Media NLP Research. CoRR Dimosthenis Antypas, Asahi Ushio, Francesco Barbieri, Leonardo Neves, Kiamehr Rezaee, Luis Espinosa Anke, Jiaxin Pei, José Camacho-Collados
2023	J	`jnl`	Tweet Insights: A Visualization Platform to Extract Temporal Insights from Twitter. CoRR Daniel Loureiro, Kiamehr Rezaee, Talayeh Riahi, Francesco Barbieri, Leonardo Neves, Luis Espinosa Anke, José Camacho-Collados
2022	—	`conf`	Named Entity Recognition in Twitter: A Dataset and Analysis on Short-Term Temporal Shifts. AACL/IJCNLP (1) Asahi Ushio, Francesco Barbieri, Vítor Silva, Leonardo Neves, José Camacho-Collados
2022	J	`jnl`	Named Entity Recognition in Twitter: A Dataset and Analysis on Short-Term Temporal Shifts. CoRR Asahi Ushio, Leonardo Neves, Vítor Silva, Francesco Barbieri, José Camacho-Collados
2022	J	`jnl`	SemEval 2023 Task 9: Multilingual Tweet Intimacy Analysis. CoRR Jiaxin Pei, Vítor Silva, Maarten W. Bos, Yozon Liu, Leonardo Neves, David Jurgens, Francesco Barbieri
2022	A*	`conf`	Style Transfer as Data Augmentation: A Case Study on Named Entity Recognition. EMNLP Shuguang Chen, Leonardo Neves, Thamar Solorio
2022	J	`jnl`	Style Transfer as Data Augmentation: A Case Study on Named Entity Recognition. CoRR Shuguang Chen, Leonardo Neves, Thamar Solorio
2022	A	`conf`	Sunshine with a Chance of Smiles: How Does Weather Impact Sentiment on Social Media? ICWSM Julie Jiang, Nils Murrugarra-Llerena, Maarten W. Bos, Yozen Liu, Neil Shah, Leonardo Neves, Francesco Barbieri
2022	B	`conf`	TempoWiC: An Evaluation Benchmark for Detecting Meaning Shift in Social Media. COLING Daniel Loureiro, Aminette D'Souza, Areej Nasser Muhajab, Isabella A. White, Gabriel Wong, Luis Espinosa Anke, Leonardo Neves, Francesco Barbieri, José Camacho-Collados
2022	J	`jnl`	TempoWiC: An Evaluation Benchmark for Detecting Meaning Shift in Social Media. CoRR Daniel Loureiro, Aminette D'Souza, Areej Nasser Muhajab, Isabella A. White, Gabriel Wong, Luis Espinosa Anke, Leonardo Neves, Francesco Barbieri, José Camacho-Collados
2022	—	`conf`	TimeLMs: Diachronic Language Models from Twitter. ACL (demo) Daniel Loureiro, Francesco Barbieri, Leonardo Neves, Luis Espinosa Anke, José Camacho-Collados
2022	J	`jnl`	TimeLMs: Diachronic Language Models from Twitter. CoRR Daniel Loureiro, Francesco Barbieri, Leonardo Neves, Luis Espinosa Anke, José Camacho-Collados
2022	J	`jnl`	TweetNLP: Cutting-Edge Natural Language Processing for Social Media. CoRR José Camacho-Collados, Kiamehr Rezaee, Talayeh Riahi, Asahi Ushio, Daniel Loureiro, Dimosthenis Antypas, Joanne Boisson, Luis Espinosa Anke, Fangyu Liu, Eugenio Martínez-Cámara, Gonzalo Medina, Thomas Bührmann, Leonardo Neves, Francesco Barbieri
2022	B	`conf`	Twitter Topic Classification. COLING Dimosthenis Antypas, Asahi Ushio, José Camacho-Collados, Vítor Silva, Leonardo Neves, Francesco Barbieri
2022	J	`jnl`	Twitter Topic Classification. CoRR Dimosthenis Antypas, Asahi Ushio, José Camacho-Collados, Leonardo Neves, Vítor Silva, Francesco Barbieri
2021	A*	`conf`	AdverTiming Matters: Examining User Ad Consumption for Effective Ad Allocations on Social Media. CHI Koustuv Saha, Yozen Liu, Nicholas Vincent, Farhan Asif Chowdhury, Leonardo Neves, Neil Shah, Maarten W. Bos
2021	A	`conf`	CEAM: The Effectiveness of Cyclic and Ephemeral Attention Models of User Behavior on Social Platforms. ICWSM Farhan Asif Chowdhury, Yozen Liu, Koustuv Saha, Nicholas Vincent, Leonardo Neves, Neil Shah, Maarten W. Bos
2021	—	`conf`	Can images help recognize entities? A study of the role of images for Multimodal NER. W-NUT Shuguang Chen, Gustavo Aguilar, Leonardo Neves, Thamar Solorio
2021	—	`conf`	Data Augmentation for Cross-Domain Named Entity Recognition. EMNLP (1) Shuguang Chen, Gustavo Aguilar, Leonardo Neves, Thamar Solorio
2021	J	`jnl`	Data Augmentation for Cross-Domain Named Entity Recognition. CoRR Shuguang Chen, Gustavo Aguilar, Leonardo Neves, Thamar Solorio
2021	A*	`conf`	Data Augmentation for Graph Neural Networks. AAAI Tong Zhao, Yozen Liu, Leonardo Neves, Oliver J. Woodford, Meng Jiang, Neil Shah
2021	—	`conf`	Mitigating Temporal-Drift: A Simple Approach to Keep NER Models Crisp. SocialNLP@NAACL Shuguang Chen, Leonardo Neves, Thamar Solorio
2021	J	`jnl`	Mitigating Temporal-Drift: A Simple Approach to Keep NER Models Crisp. CoRR Shuguang Chen, Leonardo Neves, Thamar Solorio
2021	J	`jnl`	Mutual Information and Quantum Discord in Quantum State Discrimination with a Fixed Rate of Inconclusive Outcomes. Entropy Omar Jiménez, Miguel Angel Solís-Prosser, Leonardo Neves, Aldo Delgado
2021	A	`conf`	NED: Niche Detection in User Content Consumption Data. CIKM Ekta Gujral, Leonardo Neves, Evangelos E. Papalexakis, Neil Shah
2021	—	`conf`	On Transferability of Bias Mitigation Effects in Language Model Fine-Tuning. NAACL-HLT Xisen Jin, Francesco Barbieri, Brendan Kennedy, Aida Mostafazadeh Davani, Leonardo Neves, Xiang Ren
2020	J	`jnl`	A Caption Is Worth A Thousand Images: Investigating Image Captions for Multimodal Named Entity Recognition. CoRR Shuguang Chen, Gustavo Aguilar, Leonardo Neves, Thamar Solorio
2020	J	`jnl`	Adding domain data to code profiling tools to debug workflow parallel execution. Future Gener. Comput. Syst. Vítor Silva, Leonardo Neves, Renan Souza, Alvaro L. G. A. Coutinho, Daniel de Oliveira, Marta Mattoso
2020	J	`jnl`	Data Augmentation for Graph Neural Networks. CoRR Tong Zhao, Yozen Liu, Leonardo Neves, Oliver J. Woodford, Meng Jiang, Neil Shah
2020	J	`jnl`	Efficiently Mitigating Classification Bias via Transfer Learning. CoRR Xisen Jin, Francesco Barbieri, Aida Mostafazadeh Davani, Brendan Kennedy, Leonardo Neves, Xiang Ren
2020	—	`conf`	LEAN-LIFE: A Label-Efficient Annotation Framework Towards Learning from Explanation. ACL (demo) Dong-Ho Lee, Rahul Khanna, Bill Yuchen Lin, Seyeon Lee, Qinyuan Ye, Elizabeth Boschee, Leonardo Neves, Xiang Ren
2020	J	`jnl`	LEAN-LIFE: A Label-Efficient Annotation Framework Towards Learning from Explanation. CoRR Dong-Ho Lee, Rahul Khanna, Bill Yuchen Lin, Jamin Chen, Seyeon Lee, Qinyuan Ye, Elizabeth Boschee, Leonardo Neves, Xiang Ren
2020	A*	`conf`	Learning from Explanations with Neural Execution Tree. ICLR Ziqi Wang, Yujia Qin, Wenxuan Zhou, Jun Yan, Qinyuan Ye, Leonardo Neves, Zhiyuan Liu, Xiang Ren
2020	A*	`conf`	NERO: A Neural Rule Grounding Framework for Label-Efficient Relation Extraction. WWW Wenxuan Zhou, Hongtao Lin, Bill Yuchen Lin, Ziqi Wang, Junyi Du, Leonardo Neves, Xiang Ren
2020	A	`conf`	Social Factors in Closed-Network Content Consumption. CIKM Parisa Kaghazgaran, Maarten W. Bos, Leonardo Neves, Neil Shah
2020	B	`conf`	The Devil is in the Details: Evaluating Limitations of Transformer-based Methods for Granular Tasks. COLING Brihi Joshi, Neil Shah, Francesco Barbieri, Leonardo Neves
2020	J	`jnl`	The Devil is in the Details: Evaluating Limitations of Transformer-based Methods for Granular Tasks. CoRR Brihi Joshi, Neil Shah, Francesco Barbieri, Leonardo Neves
2020	—	`conf`	TweetEval: Unified Benchmark and Comparative Evaluation for Tweet Classification. EMNLP (Findings) Francesco Barbieri, José Camacho-Collados, Luis Espinosa Anke, Leonardo Neves
2020	J	`jnl`	TweetEval: Unified Benchmark and Comparative Evaluation for Tweet Classification. CoRR Francesco Barbieri, José Camacho-Collados, Leonardo Neves, Luis Espinosa Anke
2019	J	`jnl`	Learning to Annotate: Modularizing Data Augmentation for Text Classifiers with Natural Language Explanations. CoRR Ziqi Wang, Yujia Qin, Wenxuan Zhou, Jun Yan, Qinyuan Ye, Leonardo Neves, Zhiyuan Liu, Xiang Ren
2019	J	`jnl`	Neural Rule Grounding for Low-Resource Relation Extraction. CoRR Wenxuan Zhou, Hongtao Lin, Ziqi Wang, Leonardo Neves, Xiang Ren
2019	J	`jnl`	Quantum Discord, Thermal Discord, and Entropy Generation in the Minimum Error Discrimination Strategy. Entropy Omar Jiménez, Miguel Angel Solís-Prosser, Leonardo Neves, Aldo Delgado
2019	—	`conf`	Train One Get One Free: Partially Supervised Neural Network for Bug Report Duplicate Detection and Clustering. NAACL-HLT (2) Lahari Poddar, Leonardo Neves, William Brendel, Luís Marujo, Sergey Tulyakov, Pradeep Karuturi
2019	J	`jnl`	Train One Get One Free: Partially Supervised Neural Network for Bug Report Duplicate Detection and Clustering. CoRR Lahari Poddar, Leonardo Neves, William Brendel, Luís Marujo, Sergey Tulyakov, Pradeep Karuturi
2018	—	`conf`	Multimodal Named Entity Disambiguation for Noisy Social Media Posts. ACL (1) Seungwhan Moon, Leonardo Neves, Vitor Carvalho
2018	—	`conf`	Multimodal Named Entity Recognition for Short Social Media Posts. NAACL-HLT Seungwhan Moon, Leonardo Neves, Vitor Carvalho
2018	J	`jnl`	Multimodal Named Entity Recognition for Short Social Media Posts. CoRR Seungwhan Moon, Leonardo Neves, Vitor Carvalho
2018	J	`jnl`	Photonic Discrete-time Quantum Walks and Applications. Entropy Leonardo Neves, Graciana Puentes
2018	—	`conf`	Visual Attention Model for Name Tagging in Multimodal Social Media. ACL (1) Di Lu, Leonardo Neves, Vitor Carvalho, Ning Zhang, Heng Ji
2017	J	`jnl`	Optimal probabilistic dense coding schemes. Quantum Inf. Process. Roger A. Kögler, Leonardo Neves
2017	J	`jnl`	Visual Features for Context-Aware Speech Recognition. CoRR Abhinav Gupta, Yajie Miao, Leonardo Neves, Florian Metze
2017	Misc	`conf`	Visual features for context-aware speech recognition. ICASSP Abhinav Gupta, Yajie Miao, Leonardo Neves, Florian Metze
2016	Misc	`conf`	Audio-based multimedia event detection using deep recurrent neural networks. ICASSP Yun Wang, Leonardo Neves, Florian Metze
2016	—	`conf`	Integrating Domain-Data Steering with Code-Profiling Tools to Debug Data-Intensive Workflows. WORKS@SC Vítor Silva, Leonardo Neves, Renan Souza, Alvaro L. G. A. Coutinho, Daniel de Oliveira, Marta Mattoso