Jinpeng Wang

Orcid: 0000-0002-8345-0482

Affiliations:
  • Meituan Group, Beijing, China
  • Microsoft Research Asia, China (2016 - 2020)
  • Peking University, Department of Computer Science and Technology, China (former)


According to our database1, Jinpeng Wang authored at least 36 papers between 2012 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Prompting Large Language Models for Recommender Systems: A Comprehensive Framework and Empirical Analysis.
CoRR, 2024

2023
What Makes for Good Visual Instructions? Synthesizing Complex Visual Reasoning Instructions for Visual Instruction Tuning.
CoRR, 2023

Evaluating Object Hallucination in Large Vision-Language Models.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Multi-modal Mixture of Experts Represetation Learning for Sequential Recommendation.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2022
A Mixed-Initiative Approach to Reusing Infographic Charts.
IEEE Trans. Vis. Comput. Graph., 2022

Temporal Contrastive Pre-Training for Sequential Recommendation.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Multimodal Meta-Learning for Cold-Start Sequential Recommendation.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

A Relevant and Diverse Retrieval-enhanced Data Augmentation Framework for Sequential Recommendation.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021
ChartOCR: Data Extraction from Charts Images via a Deep Hybrid Framework.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2021

CanvasEmb: Learning Layout Representation with Large-scale Pre-training for Graphic Design.
Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

2020
Hybrid Cascade Point Search Network for High Precision Bar Chart Component Detection.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

Visual Style Extraction from Chart Images for Chart Restyling.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

Learning Semantic Correspondences from Noisy Data-text Pairs by Local-to-Global Alignments.
Proceedings of the 28th International Conference on Computational Linguistics, 2020

Improving Entity Linking by Modeling Latent Entity Type Information.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Beyond Word for Word: Fact Guided Training for Neural Data-to-Document Generation.
Proceedings of the Natural Language Processing and Chinese Computing, 2019

An Encoder with non-Sequential Dependency for Neural Data-to-Text Generation.
Proceedings of the 12th International Conference on Natural Language Generation, 2019

Enhancing Neural Data-To-Text Generation Models with External Background Knowledge.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

A Simple Recipe towards Reducing Hallucination in Neural Surface Realisation.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018
Operations Guided Neural Networks for High Fidelity Data-To-Text Generation.
CoRR, 2018

Learning Latent Semantic Annotations for Grounding Natural Language to Structured Data.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Operation-guided Neural Networks for High Fidelity Data-To-Text Generation.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

Data2Text Studio: Automated Text Generation from Structured Data.
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, 2018

Aggregated Semantic Matching for Short Text Entity Linking.
Proceedings of the 22nd Conference on Computational Natural Language Learning, 2018

Mention and Entity Description Co-Attention for Entity Disambiguation.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Hierarchical Mixed Neural Network for Joint Representation Learning of Social-Attribute Network.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2017

A Statistical Framework for Product Description Generation.
Proceedings of the Eighth International Joint Conference on Natural Language Processing, 2017

2016
Mining Product Adopter Information from Online Reviews for Improving Product Recommendation.
ACM Trans. Knowl. Discov. Data, 2016

Non-Linear Smoothed Transductive Network Embedding with Text Information.
Proceedings of The 8th Asian Conference on Machine Learning, 2016

2015
Incorporating Social Role Theory into Topic Models for Social Media Content Analysis.
IEEE Trans. Knowl. Data Eng., 2015

Leveraging Product Adopter Information from Online Reviews for Product Recommendation.
Proceedings of the Ninth International Conference on Web and Social Media, 2015

User Based Aggregation for Biterm Topic Model.
Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing of the Asian Federation of Natural Language Processing, 2015

Mining User Intents in Twitter: A Semi-Supervised Approach to Inferring Intent Categories for Tweets.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014
Infer User Interests via Link Structure Regularization.
ACM Trans. Intell. Syst. Technol., 2014

2013
Mining New Business Opportunities: Identifying Trend related Products by Leveraging Commercial Intents from Microblogs.
Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing, 2013

Originator or propagator?: incorporating social role theory into topic models for twitter content analysis.
Proceedings of the 22nd ACM International Conference on Information and Knowledge Management, 2013

2012
Using Lexical and Thematic Knowledge for Name Disambiguation.
Proceedings of the Information Retrieval Technology, 2012


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