2024
WinoViz: Probing Visual Properties of Objects Under Different States.
CoRR, 2024

2023
Hybrid forecasting of geopolitical events<sup>†</sup>.
AI Mag., March, 2023

GRILL: Grounded Vision-language Pre-training via Aligning Text and Image Regions.
CoRR, 2023

Analyzing Norm Violations in Live-Stream Chat.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Temporal Knowledge Graph Forecasting Without Knowledge Using In-Context Learning.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

2022
Leveraging Visual Knowledge in Language Tasks: An Empirical Study on Intermediate Pre-training for Cross-Modal Knowledge Transfer.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

A Good Prompt Is Worth Millions of Parameters: Low-resource Prompt-based Learning for Vision-Language Models.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021
Accurate relational reasoning in edge-labeled graphs by multi-labeled random walk with restart.
World Wide Web, 2021

Modality-specific Distillation.
CoRR, 2021

MSD: Saliency-aware Knowledge Distillation for Multimodal Understanding.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

ForecastQA: A Question Answering Challenge for Event Forecasting with Temporal Text Data.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020
Random walk-based ranking in signed social networks: model and algorithms.
Knowl. Inf. Syst., 2020

ForecastQA: Machine Comprehension of Temporal Text for Answering Forecasting Questions.
CoRR, 2020

Temporal Attribute Prediction via Joint Modeling of Multi-Relational Structure Evolution.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Recurrent Event Network: Autoregressive Structure Inferenceover Temporal Knowledge Graphs.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

2019
Recurrent Event Network for Reasoning over Temporal Knowledge Graphs.
CoRR, 2019

Jointly Learning Explainable Rules for Recommendation with Knowledge Graph.
Proceedings of the World Wide Web Conference, 2019

Collaborative Policy Learning for Open Knowledge Graph Reasoning.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

2018
Fast and Accurate Random Walk with Restart on Dynamic Graphs with Guarantees.
Proceedings of the 2018 World Wide Web Conference on World Wide Web, 2018

2017
Supervised and Extended Restart in Random Walks for Ranking and Link Prediction in Networks.
CoRR, 2017

2016
Personalized Ranking in Signed Networks Using Signed Random Walk with Restart.
Proceedings of the IEEE 16th International Conference on Data Mining, 2016