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ORCIDYozen Liu
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2020 – today
- 2024
[j2]Diego Gómez-Zará
, Yozen Liu, Leonardo Neves, Neil Shah, Maarten W. Bos:
Unpacking the exploration-exploitation tradeoff on Snapchat: The relationships between users' exploration-exploitation interests and server log data. Comput. Hum. Behav. 150: 108014 (2024)- [c26]Qixiang Fang, Zhihan Zhou, Francesco Barbieri, Yozen Liu, Leonardo Neves, Dong Nguyen, Daniel L. Oberski, Maarten W. Bos, Ron Dotsch:
General-Purpose User Modeling with Behavioral Logs: A Snapchat Case Study. SIGIR 2024: 2431-2436 - [c25]Pau Perng-Hwa Kung, Zihao Fan, Tong Zhao, Yozen Liu, Zhixin Lai, Jiahui Shi, Yan Wu, Jun Yu, Neil Shah, Ganesh Venkataraman:
Improving Embedding-Based Retrieval in Friend Recommendation with ANN Query Expansion. SIGIR 2024: 2930-2934 - [i23]Zhichun Guo, Tong Zhao, Yozen Liu, Kaiwen Dong, William Shiao, Neil Shah, Nitesh V. Chawla:
Node Duplication Improves Cold-start Link Prediction. CoRR abs/2402.09711 (2024) - [i22]Zhihan Zhou, Qixiang Fang, Leonardo Neves, Francesco Barbieri, Yozen Liu, Han Liu, Maarten W. Bos, Ron Dotsch:
USE: Dynamic User Modeling with Stateful Sequence Models. CoRR abs/2403.13344 (2024) - [i21]William Shiao, Mingxuan Ju, Zhichun Guo, Xin Chen, Evangelos E. Papalexakis, Tong Zhao, Neil Shah, Yozen Liu:
Improving Out-of-Vocabulary Handling in Recommendation Systems. CoRR abs/2403.18280 (2024) - [i20]Mingxuan Ju, William Shiao, Zhichun Guo, Yanfang Ye, Yozen Liu, Neil Shah, Tong Zhao:
How Does Message Passing Improve Collaborative Filtering? CoRR abs/2404.08660 (2024) - [i19]Matthew Kolodner, Mingxuan Ju, Zihao Fan, Tong Zhao, Elham Ghazizadeh, Yan Wu, Neil Shah, Yozen Liu:
Robust Training Objectives Improve Embedding-based Retrieval in Industrial Recommendation Systems. CoRR abs/2409.14682 (2024) - 2023
- [j1]Tong Zhao, Wei Jin, Yozen Liu, Yingheng Wang, Gang Liu, Stephan Günnemann, Neil Shah, Meng Jiang:
Graph Data Augmentation for Graph Machine Learning: A Survey. IEEE Data Eng. Bull. 46(2): 140-165 (2023) - [c24]Agrima Seth, Jiyin Cao, Xiaolin Shi, Ron Dotsch, Yozen Liu, Maarten W. Bos:
Cultural Differences in Friendship Network Behaviors: A Snapchat Case Study. CHI 2023: 671:1-671:14 - [c23]Julie Jiang, Ron Dotsch, Mireia Triguero Roura, Yozen Liu, Vítor Silva, Maarten W. Bos, Francesco Barbieri:
Reciprocity, Homophily, and Social Network Effects in Pictorial Communication: A Case Study of Bitmoji Stickers. CHI 2023: 675:1-675:14 - [c22]Wei Jin, Tong Zhao, Jiayuan Ding, Yozen Liu, Jiliang Tang, Neil Shah:
Empowering Graph Representation Learning with Test-Time Graph Transformation. ICLR 2023 - [c21]Xiaotian Han, Tong Zhao, Yozen Liu, Xia Hu, Neil Shah:
MLPInit: Embarrassingly Simple GNN Training Acceleration with MLP Initialization. ICLR 2023 - [c20]William Shiao, Zhichun Guo, Tong Zhao, Evangelos E. Papalexakis, Yozen Liu, Neil Shah:
Link Prediction with Non-Contrastive Learning. ICLR 2023 - [c19]Zhichun Guo, William Shiao, Shichang Zhang, Yozen Liu, Nitesh V. Chawla, Neil Shah, Tong Zhao:
Linkless Link Prediction via Relational Distillation. ICML 2023: 12012-12033 - [c18]Raiyan Abdul Baten, Yozen Liu, Heinrich Peters, Francesco Barbieri, Neil Shah, Leonardo Neves, Maarten W. Bos:
Predicting Future Location Categories of Users in a Large Social Platform. ICWSM 2023: 47-58 - [c17]William Shiao, Uday Singh Saini, Yozen Liu, Tong Zhao, Neil Shah, Evangelos E. Papalexakis:
CARL-G: Clustering-Accelerated Representation Learning on Graphs. KDD 2023: 2036-2048 - [c16]Jiaxin Pei, Vítor Silva, Maarten W. Bos, Yozen Liu, Leonardo Neves, David Jurgens, Francesco Barbieri:
SemEval-2023 Task 9: Multilingual Tweet Intimacy Analysis. SemEval@ACL 2023: 2235-2246 - [c15]Jiahui Shi, Vivek Chaurasiya, Yozen Liu, Shubham Vij, Yan Wu, Satya Kanduri, Neil Shah, Peicheng Yu, Nik Srivastava, Lei Shi, Ganesh Venkataraman, Jun Yu:
Embedding Based Retrieval in Friend Recommendation. SIGIR 2023: 3330-3334 - [c14]Yiwei Wang, Bryan Hooi, Yozen Liu, Neil Shah:
Graph Explicit Neural Networks: Explicitly Encoding Graphs for Efficient and Accurate Inference. WSDM 2023: 348-356 - [i18]Agrima Seth, Jiyin Cao, Xiaolin Shi, Ron Dotsch, Yozen Liu, Maarten W. Bos:
Cultural Differences in Friendship Network Behaviors: A Snapchat Case Study. CoRR abs/2301.13801 (2023) - [i17]William Shiao, Uday Singh Saini, Yozen Liu, Tong Zhao, Neil Shah, Evangelos E. Papalexakis:
CARL-G: Clustering-Accelerated Representation Learning on Graphs. CoRR abs/2306.06936 (2023) - [i16]Heinrich Peters, Yozen Liu, Francesco Barbieri, Raiyan Abdul Baten, Sandra C. Matz, Maarten W. Bos:
Context-Aware Prediction of User Engagement on Online Social Platforms. CoRR abs/2310.14533 (2023) - [i15]Vijay Prakash Dwivedi, Yozen Liu, Anh Tuan Luu, Xavier Bresson, Neil Shah, Tong Zhao:
Graph Transformers for Large Graphs. CoRR abs/2312.11109 (2023) - [i14]Qixiang Fang, Zhihan Zhou, Francesco Barbieri, Yozen Liu, Leonardo Neves, Dong Nguyen, Daniel L. Oberski, Maarten W. Bos, Ron Dotsch:
Designing and Evaluating General-Purpose User Representations Based on Behavioral Logs from a Measurement Process Perspective: A Case Study with Snapchat. CoRR abs/2312.12111 (2023) - 2022
- [c13]Wei Jin, Lingxiao Zhao, Shichang Zhang, Yozen Liu, Jiliang Tang, Neil Shah:
Graph Condensation for Graph Neural Networks. ICLR 2022 - [c12]Shichang Zhang, Yozen Liu, Yizhou Sun, Neil Shah:
Graph-less Neural Networks: Teaching Old MLPs New Tricks Via Distillation. ICLR 2022 - [c11]Julie Jiang, Nils Murrugarra-Llerena, Maarten W. Bos, Yozen Liu, Neil Shah, Leonardo Neves, Francesco Barbieri:
Sunshine with a Chance of Smiles: How Does Weather Impact Sentiment on Social Media? ICWSM 2022: 393-404 - [c10]Yiwei Wang, Bryan Hooi, Yozen Liu, Tong Zhao, Zhichun Guo, Neil Shah:
Flashlight: Scalable Link Prediction With Effective Decoders. LoG 2022: 14 - [c9]Shichang Zhang, Yozen Liu, Neil Shah, Yizhou Sun:
GStarX: Explaining Graph Neural Networks with Structure-Aware Cooperative Games. NeurIPS 2022 - [c8]Xianfeng Tang, Yozen Liu, Xinran He, Suhang Wang, Neil Shah:
Friend Story Ranking with Edge-Contextual Local Graph Convolutions. WSDM 2022: 1007-1015 - [i13]Shichang Zhang, Neil Shah, Yozen Liu, Yizhou Sun:
Explaining Graph-level Predictions with Communication Structure-Aware Cooperative Games. CoRR abs/2201.12380 (2022) - [i12]Yiwei Wang, Bryan Hooi, Yozen Liu, Tong Zhao, Zhichun Guo, Neil Shah:
Flashlight: Scalable Link Prediction with Effective Decoders. CoRR abs/2209.10100 (2022) - [i11]Xiaotian Han, Tong Zhao, Yozen Liu, Xia Hu, Neil Shah:
MLPInit: Embarrassingly Simple GNN Training Acceleration with MLP Initialization. CoRR abs/2210.00102 (2022) - [i10]Wei Jin, Tong Zhao, Jiayuan Ding, Yozen Liu, Jiliang Tang, Neil Shah:
Empowering Graph Representation Learning with Test-Time Graph Transformation. CoRR abs/2210.03561 (2022) - [i9]Zhichun Guo, William Shiao, Shichang Zhang, Yozen Liu, Nitesh V. Chawla, Neil Shah, Tong Zhao:
Linkless Link Prediction via Relational Distillation. CoRR abs/2210.05801 (2022) - [i8]Julie Jiang, Ron Dotsch, Mireia Triguero Roura, Yozen Liu, Vítor Silva, Maarten W. Bos, Francesco Barbieri:
Reciprocity, Homophily, and Social Network Effects in Pictorial Communication: A Case Study of Bitmoji Stickers. CoRR abs/2211.01426 (2022) - [i7]William Shiao, Zhichun Guo, Tong Zhao, Evangelos E. Papalexakis, Yozen Liu, Neil Shah:
Link Prediction with Non-Contrastive Learning. CoRR abs/2211.14394 (2022) - 2021
- [c7]Tong Zhao, Yozen Liu, Leonardo Neves, Oliver J. Woodford, Meng Jiang, Neil Shah:
Data Augmentation for Graph Neural Networks. AAAI 2021: 11015-11023 - [c6]Koustuv Saha, Yozen Liu, Nicholas Vincent, Farhan Asif Chowdhury, Leonardo Neves, Neil Shah, Maarten W. Bos:
AdverTiming Matters: Examining User Ad Consumption for Effective Ad Allocations on Social Media. CHI 2021: 581:1-581:18 - [c5]Yao Ma, Xiaorui Liu, Tong Zhao, Yozen Liu, Jiliang Tang, Neil Shah:
A Unified View on Graph Neural Networks as Graph Signal Denoising. CIKM 2021: 1202-1211 - [c4]Farhan Asif Chowdhury, Yozen Liu, Koustuv Saha, Nicholas Vincent, Leonardo Neves, Neil Shah, Maarten W. Bos:
CEAM: The Effectiveness of Cyclic and Ephemeral Attention Models of User Behavior on Social Platforms. ICWSM 2021: 117-128 - [c3]Aravind Sankar, Yozen Liu, Jun Yu, Neil Shah:
Graph Neural Networks for Friend Ranking in Large-scale Social Platforms. WWW 2021: 2535-2546 - [i6]Wei Jin, Lingxiao Zhao, Shichang Zhang, Yozen Liu, Jiliang Tang, Neil Shah:
Graph Condensation for Graph Neural Networks. CoRR abs/2110.07580 (2021) - [i5]Shichang Zhang, Yozen Liu, Yizhou Sun, Neil Shah:
Graph-less Neural Networks: Teaching Old MLPs New Tricks via Distillation. CoRR abs/2110.08727 (2021) - 2020
- [c2]Xianfeng Tang, Yozen Liu, Neil Shah, Xiaolin Shi, Prasenjit Mitra, Suhang Wang:
Knowing your FATE: Friendship, Action and Temporal Explanations for User Engagement Prediction on Social Apps. KDD 2020: 2269-2279 - [i4]Xianfeng Tang, Yozen Liu, Neil Shah, Xiaolin Shi, Prasenjit Mitra, Suhang Wang:
Knowing your FATE: Friendship, Action and Temporal Explanations for User Engagement Prediction on Social Apps. CoRR abs/2006.06427 (2020) - [i3]Tong Zhao, Yozen Liu, Leonardo Neves, Oliver J. Woodford, Meng Jiang, Neil Shah:
Data Augmentation for Graph Neural Networks. CoRR abs/2006.06830 (2020) - [i2]Yao Ma, Xiaorui Liu, Tong Zhao, Yozen Liu, Jiliang Tang, Neil Shah:
A Unified View on Graph Neural Networks as Graph Signal Denoising. CoRR abs/2010.01777 (2020)
2010 – 2019
- 2019
- [c1]Yozen Liu, Xiaolin Shi, Lucas Pierce, Xiang Ren:
Characterizing and Forecasting User Engagement with In-App Action Graph: A Case Study of Snapchat. KDD 2019: 2023-2031 - [i1]Yozen Liu, Xiaolin Shi, Lucas Pierce, Xiang Ren:
Characterizing and Forecasting User Engagement with In-app Action Graph: A Case Study of Snapchat. CoRR abs/1906.00355 (2019)
Coauthor Index
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last updated on 2024-10-16 21:22 CEST by the dblp team
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