Team
Computational Imaging User Modeling & Personalization Creative Vision All
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Team

Computational Imaging User Modeling & Personalization Creative Vision All

About Us

Our team develops innovative techniques for modeling user behavior, empowering our business partners to build world-class user-centric ML systems across Snap. Our research interests span multiple areas including machine learning, data mining, graph modeling, behavioral science, and natural language processing. We also partner closely with engineering to solve challenging modeling problems at scale.

Leonardo Neves

Shubham Vij

Yozen Liu

Tong Zhao

Matthew Kolodner

Clark Ju

Bhuvesh Kumar

Liam Collins

Kyle Montemayor

Neil Shah

Publications

June 11, 2025 | CVPR 2025
Mosaic of Modalities: A Comprehensive Benchmark for Multimodal Graph Learning
Jing Zhu, Yuhang Zhou, Shengyi Qian, Zhongmou He, Tong Zhao, Neil Shah, Danai Koutra
December 23, 2024 | WWW 2025
GraphHash: Graph Clustering Enables Parameter Efficiency in Recommender Systems
Xinyi Wu, Donald Loveland, Runjin Chen, Yozen Liu, Xin Chen, Leonardo Neves, Ali Jadbabaie, Clark Mingxuan Ju, Neil Shah, Tong Zhao
October 15, 2024 | WWW 2025
Understanding and Scaling Collaborative Filtering Optimization from the Perspective of Matrix Rank
Donald Loveland, Xinyi Wu, Tong Zhao, Danai Koutra, Neil Shah, Clark Ju
September 23, 2024 | RobustRecSys @ RecSys 2024
Robust Training Objectives Improve Embedding-based Retrieval in Industrial Recommendation Systems
Matthew Kolodner, Clark Ju, Zihao Fan, Tong Zhao, Elham Ghazizadeh, Yan Wu, Neil Shah, Yozen Liu
August 8, 2024 | Journal of Big Data
Context-aware prediction of active and passive user engagement: Evidence from a large online social platform
Heinrich Peters, Yozen Liu, Francesco Barbieri, Raiyan Abdul Baten, Sandra Matz, Maarten Bos
August 8, 2024 | ACL 2024
Explainability and Hate Speech: Structured Explanations Make Social Media Moderators Faster
Agostina Calabrese, Leonardo Neves, Neil Shah, Maarten W. Bos, Björn Ross, Mirella Lapata, Francesco Barbieri
August 8, 2024 | SIGIR 2024
Improving Embedding-Based Retrieval in Friend Recommendation with ANN Query Expansion
Pau Perng-Hwa Kung, Zihao Fan, Tong Zhao, Yozen Liu, Zhixin Lai, Jiahui Shi, Yan Wu, Jun Yu, Neil Shah, Ganesh Venkataraman
May 30, 2024 | ICML 2024
Graph Foundation Models are Already Here
Haitao Mao, Zhikai Chen, Wenzhuo Tang, Jianan Zhao, Yao Ma, Tong Zhao, Neil Shah, Mikhail Galkin, Jiliang Tang
May 07, 2024 | ICLR 2024
Revisiting Link Prediction: a data perspective
Haitao Mao, Juanhui Li, Harry Shomer, Bingheng Li, Wenqi Fan, Yao Ma, Tong Zhao, Neil Shah, Jiliang Tang
May 07, 2024 | ICLR 2024
A Topological Perspective on Demystifying GNN-based Link Prediction Performance
Yu Wang, Tong Zhao, Yuying Zhao, Yunchao Liu, Xueqi Cheng, Neil Shah, Tyler Derr
April 18, 2024 | SDM 2024
Data Quality-Aware Graph Machine Learning
Yu Wang, Yijun Tian, Tong Zhao, Xiaorui Liu, Jian Kang, Tyler Derr
April 18, 2024 | SDM 2024
Large-Scale Graph Neural Networks: Navigating the Past and Pioneering New Horizons
Rui Xue, Haoyu Han, Tong Zhao, Neil Shah, Jiliang Tang, Xiaorui Liu
April 11, 2024 | ICML 2024
LLaGA: Large Language and Graph Assistant
Runjin Chen, Tong Zhao, Ajay Jaiswal, Neil Shah, Zhangyang Wang
March 22, 2024 | W-NUT 2024
Context-aware Adversarial Attack on Named Entity Recognition
Shuguang Chen, Leonardo Neves, Thamar Solorio
March 19, 2024 | ICLR 2024
Learning from Graphs Beyond Message Passing Neural Networks
Tong Zhao, Neil Shah, Elham Ghazizadeh
March 19, 2024 | WSDM 2024
Machine Learning on Graphs Workshop at WSDM 2024
Tyler Derr, Yao Ma, Kaize Ding, Tong Zhao, Nesreen Ahmed
March 7, 2024 | NeurIPS 2024
How Does Message Passing Improve Collaborative Filtering?
Mingxuan Ju, William Shiao, Zhichun Guo, Yanfang Ye, Yozen Liu, Neil Shah, Tong Zhao
February 07, 2024 | AAAI 2024
Large-Scale Graph Neural Networks: Navigating the Past and Pioneering New Horizons
Rui Xue, Haoyu Han, Tong Zhao, Neil Shah, Jiliang Tang, Xiaorui Liu
December 19, 2023 | SIGIR 2024
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
December 15, 2023 | GLFrontiers 2023
Semi-Supervised Graph Imbalanced Regression
Gang Liu, Tong Zhao, Eric Inae, Tengfei Luo, Meng Jiang
December 06, 2023 | EMNLP 2023
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, Jose Camacho-Collados
December 4, 2023 | MLoG @ ICDM 2023
Mining and Learning with Graphs Workshop at ICDM 2023
Yao Ma, Tyler Derr, Tong Zhao, David Wipf, Zengfeng Huang
November 02, 2023 | CHB
Unpacking the exploration–exploitation tradeoff on Snapchat: The relationships between users’ exploration-exploitation interests and server log data
Diego Gomez-Zara, Yozen Liu, Leonardo Neves, Neil Shah, Maarten Bos
October 1, 2023 | NeurIPS 2023
GraphPatcher: Mitigating Degree Bias for Graph Neural Networks via Test-time Node Patching
Mingxuan Ju, Tong Zhao, Wenhao Yu, Neil Shah, Yanfang Ye
August 6, 2023 | MLG @ KDD 2023
Mining and Learning on Graphs Workshop at KDD 2023
Neil Shah, Shobeir Fakhraei, Da Zheng, Bahare Fatemi, Leman Akoglu
August 6, 2023 | KDD 2023
CARL-G: Clustering-Accelerated Representation Learning on Graphs
William Shiao, Uday Singh Saini, Yozen Liu, Tong Zhao, Neil Shah, Evangelos Papalexakis
August 6, 2023 | KDD 2023
Sketch-based Anomaly Detection in Streaming Graphs
Siddharth Bhatia, Mohit Wadhwa, Kenji Kawaguchi, Neil Shah, Philip Yu, Bryan Hooi
August 6, 2023 | KDD 2023
Semi-supervised Graph Imbalanced Regression
Gang Liu, Tong Zhao, Eric Inae, Tengfei Luo, Meng Jiang
August 5, 2023 | KDD 2023
Large-Scale Graph Neural Networks: The Past and New Frontiers
Rui Xie, Haoyu Han, Tong Zhao, Neil Shah, Jiliang Tang, Xiaorui Liu
July 23, 2023 | SIGIR 2023
Embedding-Based Retrieval in Friend Recommendation
Jiahui Shi, Vivek Chaurasiya, Yozen Liu, Shubham Vij, Yan Wu, Satya Kanduri, Neil Shah, Peicheng Yu, Nik Srivastava, Lei Shi, Ganesh Venkataraman, Jun Yu
July 23, 2023 | ICML 2023
Linkless Link Prediction via Relational Distillation
Zhichun Guo, William Shiao, Shichang Zhang, Yozen Liu, Nitesh V. Chawla, Neil Shah, Tong Zhao
July 9, 2023 | ACL 2023
Are Message Passing Neural Networks Really Helpful for Knowledge Graph Completion?
Juanhui Li, Harry Shomer, Jiayuan Ding, Yiqi Wang, Yao Ma, Neil Shah, Jiliang Tang, Dawei Yin
June 18, 2023 | NeurIPS 2023
Evaluating Graph Neural Networks for Link Prediction: Current Pitfalls and New Benchmarking
Juanhui Li, Harry Shomer, Haitao Mao, Shenglai Zeng, Yao Ma, Neil Shah, Jiliang Tang, Dawei Yin
June 5, 2023 | ICWSM 2023
Predicting Future Location Categories of Users in a Large Social Platform
Raiyan Baten, Yozen Liu, Heinrich Peters, Francesco Barbieri, Neil Shah, Leonardo Neves, Maarten Bos
June 2, 2023 | NeurIPS 2023
Demystifying Structural Disparity in Graph Neural Networks: Can One Size Fit All?
Haitao Mao, Zhikai Chen, Wei Jin, Haoyu Han, Yao Ma, Tong Zhao, Neil Shah, Jiliang Tang
June 1, 2023 | IEEE DEB 2023
Graph Data Augmentation for Graph Machine Learning: A Survey
Tong Zhao, Wei Jin, Yozen Liu, Yingheng Wang, Gang Liu, Stephan Gunnemann, Neil Shah, Meng Jiang
May 17, 2023 | AMS 2023
Improving Social Media Video Advertising Acceptance Using Priming: Evidence from Big Data Analysis
Wen Xie, Ron Dotsch, Maarten Bos, Yozen Liu
May 5, 2023 | ICLR 2023
MLPInit: Embarrassingly Simple GNN Training Acceleration with MLP Initialization
Xiaotian Han, Tong Zhao, Yozen Liu, Xia Hu, Neil Shah
May 5, 2023 | ICLR 2023
Multi-task Self-supervised Graph Neural Networks Enable Stronger Task Generalization
Mingxuan Ju, Tong Zhao, Qianlong Wen, Wenhao Yu, Neil Shah, Yanfang Ye, Chuxu Zhang
May 5, 2023 | ICLR 2023
Link Prediction with Non-contrastive Learning
William Shiao, Zhichun Guo, Tong Zhao, Evangelos Papalexakis, Yozen Liu, Neil Shah
May 5, 2023 | ICLR 2023
Empowering Graph Representation Learning with Test-Time Graph Transformation
Wei Jin, Tong Zhao, Jiayuan Ding, Yozen Liu, Jiliang Tang, Neil Shah
April 27, 2023 | SDM 2023
Augmentation Methods for Graph Learning
Tong Zhao, Kaize Ding, Wei Jin, Gang Liu, Meng Jiang, Neil Shah
April 23, 2023 | CHI 2023
Cultural Differences in Friendship Network Behaviors: A Snapchat Case Study
Agrima Seth, Jiyin Cao, Xiaolin Shi, Ron Dotsch, Yozen Liu, Maarten Bos
April 23, 2023 | CHI 2023
Reciprocity, Homophily, and Social Network Effects in Pictorial Communication: A Case Study of Bitmoji Sticker
Julie Jiang, Ron Dotsch, Mireia Triguero Roura, Yozen Liu, Vitor Silva, Maarten Bos, Francesco Barbieri
March 17, 2023 | NeurIPS 2023
Data-Centric Learning from Unlabeled Graphs with Diffusion Model
Gang Liu, Eric Inae, Tong Zhao, Jiaxin Xu, Tengfei Luo, Meng Jiang
February 27, 2023 | WSDM 2023
Graph Explicit Neural Networks: Explicitly Encoding Graphs for Efficient and Accurate Inference
Yiwei Wang, Bryan Hooi, Yozen Liu, Neil Shah
December 9, 2022 | LoG 2022
Flashlight: Scalable Link Prediction with Effective Decoders
Yiwei Wang, Bryan Hooi, Yozen Liu, Neil Shah
December 9, 2022 | LoG 2022
AutoGDA: Automated Graph Data Augmentation for Node Classification
Tong Zhao, Xianfeng Tang, Danqing Zhang, Haoming Jiang, Nikhil Rao, Yiwei Song, Pallav Agrawal, Karthik Subbian, Bing Yin, Meng Jiang
December 7, 2022 | EMNLP 2022
TweetNLP: Cutting-Edge Natural Language Processing for Social Media
Jose 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 Buhrmann, Leonardo Neves, Francesco Barbieri
December 7, 2022 | EMNLP 2022
Style Transfer as Data Augmentation: A Case Study on Named Entity Recognition
Shuguang Chen, Leonardo Neves, Thamar Solorio
December 7, 2022 | EMNLP 2022
Grape: Knowledge Graph Enhanced Passage Reader for Open-domain Question Answering
Mingxuan Ju, Wenhao Yu, Tong Zhao, Chuxu Zhang, Yanfang Ye
November 28, 2022 | NeurIPS 2022
Explaining Graph Neural Networks with Structure-Aware Cooperative Games
Shichang Zhang, Yozen Liu, Neil Shah, Yizhou Sun
November 28, 2022 | NeurIPS 2022
A Practical, Progressively-Expressive GNN
Lingxiao Zhao, Neil Shah, Leman Akoglu
October 17, 2022 | CIKM 2022
Imbalanced Graph Classification via Graph-of-Graph Neural Networks
Yu Wang, Yuying Zhao, Neil Shah, Tyler Derr
September 28, 2022 | CIKM 2022
Imbalanced Graph Classification via Graph-of-Graph Neural Networks
Yu Wang, Yuying Zhao, Neil Shah, Tyler Derr
September 9, 2022 | AACL 2022
Named Entity Recognition in Twitter: A Dataset and Analysis on Short-Term Temporal Shifts
Asahi Ushio, Francesco Barbieri, Vitor Sousa, Leonardo Neves, Jose Camacho-Collados
July 17, 2022 | ICML 2022 (Workshop on Pre-Training)
Enhancing Multi-hop Connectivity for Graph Convolutional Networks
Songtao Liu, Shixiong Jing, Tong Zhao, Zengfeng Huang, and Dinghao Wu
June 6, 2022 | ICWSM 2022
Sunshine with a Chance of Smiles: How does Weather Impact Sentiment on Social Media?
Julie Jiang, Nils Murrugara-Llerena, Maarten Bos, Yozen Liu, Neil Shah, Leonardo Neves, Francesco Barbieri
May 22, 2022 | ACL 2022
TimeLMs: Diachronic Language Models from Twitter
Daniel Loureiro, Francesco Barbieri, Leonardo Neves, Luis Espinosa Anke, Jose Camacho-Collados
April 25, 2022 | ICLR 2022
Automated Self-Supervised Learning for Graphs
Wei Jin, Xiaorui Liu, Xiangyu Zhao, Yao Ma, Neil Shah, Jiliang Tang
April 25, 2022 | ICLR 2022
Is Homophily a Necessity for Graph Neural Networks?
Yao Ma, Xiaorui Liu, Neil Shah, Jiliang Tang
April 25, 2022 | ICLR 2022
From Stars to Subgraphs: Uplifting Any GNN with Local Structure Awareness
Lingxiao Zhao, Wei Jin, Leman Akoglu, Neil Shah
April 25, 2022 | ICLR 2022
Graph Condensation for Graph Neural Networks
Wei Jin, Lingxiao Zhao, Shichang Zhang, Yozen Liu, Jiliang Tang, Neil Shah
April 25, 2022 | ICLR 2022
Graph-less Neural Networks: Teaching Old MLPs new Tricks via Distillation
Shichang Zhang, Yozen Liu, Yizhou Sun, Neil Shah
February 21, 2022 | WSDM 2022
Finding a Concise, Precise, and Exhaustive Set of Near Bi-Cliques in Dynamic Graphs
Hyeonjeong Shin, Taehyung Kwon, Neil Shah, Kijung Shin
February 21, 2022 | WSDM 2022
Attributed Graph Modeling with Vertex Replacement Grammars
Satyaki Sikdar, Neil Shah, Tim Weninger
February 21, 2022 | WSDM 2022
Friend Story Ranking with Edge-Contextual Local Graph Convolutions
Xianfeng Tang, Yozen Liu, Xinran He, Suhang Wang, Neil Shah
November 7, 2021 | EMNLP 2021
Data Augmentation for Cross-Domain Named Entity Recognition
Shuguang Chen, Gustavo Aguilar, Leonardo Neves, Thamar Solorio
November 1, 2021 | CIKM 2021
NED: Niche Detection in User Content Consumption Data
Ekta Gujral, Leonardo Neves, Evangelos Papalexakis, Neil Shah
November 1, 2021 | CIKM 2021
A Unified View on Graph Neural Networks as Graph Signal Denoising
Yao Ma, Xiaorui Liu, Tong Zhao, Yozen Liu, Jiliang Tang, Neil Shah
November 1, 2021 | CIKM 2021
Action Sequence Augmentation for Early Graph-based Anomaly Detection
Tong Zhao, Bo Ni, Wenhao Yu, Zhichun Guo, Neil Shah, Meng Jiang
August 30, 2021 | TNNLS 2021
A Synergistic Approach for Graph Anomaly Detection with Pattern Mining and Feature Learning
Tong Zhao, Tianwen Jiang, Neil Shah, Meng Jiang
June 7, 2021 | ICWSM 2021
Identifying Misinformation from Website Screenshots
Sara Abdali, Rutuja Gurav, Siddharth Menon, Daniel Fonseca, Negin Entezari, Neil Shah, Evangelos Papalexakis
April 20, 2021 | SocialNLP 2021
Mitigating Temporal-Drift: A Simple Approach to Keep NER Models Crisp
Shuguang Chen, Leonardo Neves, Thamar Solorio
March 15, 2021 | ICWSM 2021
CEAM: The Effectiveness of Cyclic and Ephemeral Attention Models of User Behavior on Social Platforms
Farhan Chowdhury, Yozen Liu, Nick Vincent, Koustuv Saha, Leonardo Neves, Neil Shah, Maarten Bos
March 15, 2021 | ICWSM 2021
Online Communication Shifts in the Midst of the Covid-19 Pandemic: A Case Study on Snapchat
Qi Yang, Weinan Wang, Lucas Pierce, Rajan Vaish, Xiaolin Shi, Neil Shah
February 08, 2021 | WWW 2021
Graph Neural Networks for Friend Ranking in Large-scale Social Platforms
Aravind Sankar, Yozen Liu, Jun Yu, Neil Shah
January 04, 2021 | CHI 2021
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 Bos
December 05, 2020 | AIES 2021
FairOD: Fairness-aware Outlier Detection
Shubhranshu Shekhar, Neil Shah, Leman Akoglu
December 02, 2020 | AAAI 2021
Data Augmentation for Graph Neural Networks
Tong Zhao, Yozen Liu, Leonardo Neves, Oliver Woodford, Meng Jiang, Neil Shah
November 16, 2020 | EMNLP 2020
TWEET EVAL: Unified Benchmark and Comparative Evaluation for Tweet Classification
Francesco Barbieri, Jose Camacho-Collados, Leonardo Neves, Luis Espinosa-Anke†
November 11, 2020 | W-NUT 2021
Can images help recognize entities? A study of the role of images for Multimodal NER
Shuguang Chen, Gustavo Aguilar, Leonardo Neves, Thamar Solorio
November 02, 2020 | COLING 2020
The Devil is in the Details: Evaluating Limitations of Transformer-based Methods for Granular Tasks
Brihi Joshi, Neil Shah, Francesco Barbieri, Leonardo Neves
October 19, 2020 | CIKM 2020
Social Factors in Closed-Network Content Consumption
Parisa Kaghazgaran, Maarten Bos, Leonardo Neves, Neil Shah
September 14, 2020 | ECML-PKDD 2020
Semi-Supervised Multi-aspect Misinformation Detection with Hierarchical Joint Decomposition
Sara Abdali, Neil Shah and Evangelos Papalexakis
August 24, 2020 | MLG 2020
Scale-Free, Attributed and Class-Assortative Graph Generation to Facilitate Introspection of Graph Neural Networks
Neil Shah
August 23, 2020 | KDD 2020
Knowing your FATE: Friendship, Action and Temporal Explanations for User Engagement Prediction on Social Apps
Xianfeng Tang, Yozen Liu, Neil Shah, Xiaolin Shi, Prasenjit Mitra and Suhang Wang
July 05, 2020 | ACL 2020
LEAN-LIFE: A Label-Efficient Annotation Framework Towards Learning from Explanation
Dong-Ho Lee, Rahul Khanna, Bill Yuchen Lin, Jamin Chen, Seyeon Lee, Qinyuan Ye, Elizabeth Boschee, Leonardo Neves, Xiang Ren
May 24, 2020 | NAACL 2021
On Transferability of Bias Mitigation Effects in Language Model Fine-Tuning
Xisen Jin, Francesco Barbieri, Brendan Kennedy, Aida Mostafazadeh Davani, Leonardo Neves, Xiang Ren
January 15, 2020 | WWW 2020
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
November 07, 2019 | ICLR 2020
Learning to Annotate: Modularizing Data Augmentation for Text Classifiers with Natural Language Explanations
Ziqi Wang, Yujia Qin, Wenxuan Zhou, Jun Yan, Qinyuan Ye, Leonardo Neves, Zhiyuan Liu, Xiang Ren
August 21, 2019 | DSAA 2019
SliceNDice: Mining Suspicious Multi-attribute Entity Groups with Multi-view Graphs
Hamed Nilforoshan, Neil Shah
July 26, 2019 | DSAA 2019
FARE: Schema-Agnostic Anomaly Detection in Social Event Logs
Neil Shah
July 25, 2019 | KDD 2019
Modeling Dwell Time Engagement on Visual Multimedia
Hemank Lamba, Neil Shah
June 16, 2019 | ASONAM 2019
Characterizing and Detecting Livestreaming Chatbots
Shreya Jain, Dipankar Niranjan, Hemank Lamba, Neil Shah, Ponnurangam Kumaraguru
June 02, 2019 | KDD 2019
Characterizing and Forecasting User Engagement with In-app Action Graph: A Case Study of Snapchat
Yozen Liu, Xiaolin Shi, Lucas Pierce, Xiang Ren
April 04, 2019 | NAACL 2019
Train One Get One Free: Partially Supervised Neural Network for Bug Report Duplicate Detection and Clustering
Lahari Poddar, Leonardo Neves, William Brendel, Luis Marujo, Sergey Tulyakov, Pradeep Karuturi
March 17, 2019 | CHI 2019
Impact of Contextual Factors on Snapchat Public Sharing
Hana Habib, Neil Shah, Rajan Vaish
August 01, 2018 | SIGIR eCom 2018
Did We Get It Right? Predicting Query Performance in E-Commerce Search
Rohan Kumar, Mohit Kumar, Neil Shah, Christos Faloutsos
June 10, 2018 | ACL 2018
Zeroshot Multimodal Named Entity Disambiguation for Noisy Social Media Posts
Seungwhan Moon, Leonardo Neves, Vitor Carvalho
June 10, 2018 | ACL 2018
Visual Attention Model for Name Tagging in Multimodal Social Media
Di Lu, Leonardo Neves, Vitor Carvalho, Ning Zhang, Heng Ji
April 30, 2018 | ECML-PKDD 2018
Beyond Outlier Detection: LookOut for Pictorial Explanation
Nikhil Gupta, Dhivya Eswaran, Neil Shah, Leman Akoglu, Christos Faloutsos
April 24, 2018 | ASONAM 2018
Semi-supervised Content-based Detection of Misinformation via Tensor Embeddings
Gisel Bastidas Guacho, Sara Abdali, Neil Shah, Evangelos E. Papalexakis
February 28, 2018 | NAACL 2018
Multimodal Named Entity Recognition for Short Social Media Posts
Seunghwan Moon, Leonardo Neves, Vitor Carvalho

Events

The IEEE/CVF Conference on Computer Vision and Pattern Recognition 2025
11
JUN
2025
June 11, 2025
The IEEE/CVF Conference on Computer Vision and Pattern Recognition 2025
The Web Conference 2025
28
APR
2025
April 28, 2025
The Web Conference 2025
The Thirteenth International Conference on Learning Representations
24
APR
2025
April 24, 2025
The Thirteenth International Conference on Learning Representations
38th Conference on Neural Information Processing Systems
10
DEC
2024
December 10, 2024
38th Conference on Neural Information Processing Systems
The 17th ACM SIGGRAPH Conference and Exhibition on Computer Graphics and Interactive Techniques in Asia
3
DEC
2024
December 3, 2024
The 17th ACM SIGGRAPH Conference and Exhibition on Computer Graphics and Interactive Techniques in Asia

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