Zhongyuan Wang

Orcid: 0000-0003-2987-9672

Affiliations:
  • Meituan-Dianping Group, Beijing, China
  • Microsoft Research Asia, Beijing, China (former)
  • Renmin University of China, Beijing, China (former)


According to our database1, Zhongyuan Wang authored at least 86 papers between 2009 and 2024.

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Bibliography

2024
SG-Adapter: Enhancing Text-to-Image Generation with Scene Graph Guidance.
CoRR, 2024

CogGPT: Unleashing the Power of Cognitive Dynamics on Large Language Models.
CoRR, 2024

Improving Vision-and-Language Reasoning via Spatial Relations Modeling.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

GUIDE: A Guideline-Guided Dataset for Instructional Video Comprehension.
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

Relational Graph-Bridged Image-Text Interaction: A Novel Method for Multi-Modal Relation Extraction.
Proceedings of the IEEE International Conference on Acoustics, 2024

GFMAE: Self-Supervised GNN-Free Masked Autoencoders.
Proceedings of the IEEE International Conference on Acoustics, 2024

CogGPT: Unleashing the Power of Cognitive Dynamics on Large Language Models.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Advancing Latent Representation Ranking for Masked Graph Autoencoder.
Proceedings of the Database Systems for Advanced Applications, 2024

Learning Multi-Dimensional Human Preference for Text-to-Image Generation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Decompose, Prioritize, and Eliminate: Dynamically Integrating Diverse Representations for Multimodal Named Entity Recognition.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

Decoding at the Speed of Thought: Harnessing Parallel Decoding of Lexical Units for LLMs.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

Just Ask One More Time! Self-Agreement Improves Reasoning of Language Models in (Almost) All Scenarios.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023
KwaiAgents: Generalized Information-seeking Agent System with Large Language Models.
CoRR, 2023

Ask One More Time: Self-Agreement Improves Reasoning of Language Models in (Almost) All Scenarios.
CoRR, 2023

DialogBench: Evaluating LLMs as Human-like Dialogue Systems.
CoRR, 2023

Do We Really Need Contrastive Learning for Graph Representation?
CoRR, 2023

HGCVAE: Integrating Generative and Contrastive Learning for Heterogeneous Graph Learning.
CoRR, 2023

KwaiYiiMath: Technical Report.
CoRR, 2023

Parrot: Enhancing Multi-Turn Chat Models by Learning to Ask Questions.
CoRR, 2023

Towards Practical Capture of High-Fidelity Relightable Avatars.
Proceedings of the SIGGRAPH Asia 2023 Conference Papers, 2023

A Unified Model for Video Understanding and Knowledge Embedding with Heterogeneous Knowledge Graph Dataset.
Proceedings of the 2023 ACM International Conference on Multimedia Retrieval, 2023

GTR: A Grafting-Then-Reassembling Framework for Dynamic Scene Graph Generation.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Improving Prosody for Cross-Speaker Style Transfer by Semi-Supervised Style Extractor and Hierarchical Modeling in Speech Synthesis.
Proceedings of the IEEE International Conference on Acoustics, 2023

FEditNet: Few-Shot Editing of Latent Semantics in GAN Spaces.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Diagnosing Ensemble Few-Shot Classifiers.
IEEE Trans. Vis. Comput. Graph., 2022

A Unified Model for Video Understanding and Knowledge Embedding with Heterogeneous Knowledge Graph Dataset.
CoRR, 2022

Back-Translation-Style Data Augmentation for Mandarin Chinese Polyphone Disambiguation.
CoRR, 2022

Kuaipedia: a Large-scale Multi-modal Short-video Encyclopedia.
CoRR, 2022

Bridging CLIP and StyleGAN through Latent Alignment for Image Editing.
CoRR, 2022

ITTR: Unpaired Image-to-Image Translation with Transformers.
CoRR, 2022

Learning an Inference-accelerated Network from a Pre-trained Model with Frequency-enhanced Feature Distillation.
Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

Style-Label-Free: Cross-Speaker Style Transfer by Quantized VAE and Speaker-wise Normalization in Speech Synthesis.
Proceedings of the 13th International Symposium on Chinese Spoken Language Processing, 2022

EAD-Conformer: a Conformer-Based Encoder-Attention-Decoder-Network for Multi-Task Audio Source Separation.
Proceedings of the IEEE International Conference on Acoustics, 2022

Domain Generalization via Shuffled Style Assembly for Face Anti-Spoofing.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
Consistency Regularization for Deep Face Anti-Spoofing.
CoRR, 2021

Dynamic Inconsistency-aware DeepFake Video Detection.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

HiT: Hierarchical Transformer with Momentum Contrast for Video-Text Retrieval.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

One-Shot Voice Conversion Based on Speaker Aware Module.
Proceedings of the IEEE International Conference on Acoustics, 2021

Frequency-Aware Discriminative Feature Learning Supervised by Single-Center Loss for Face Forgery Detection.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Converse, Focus and Guess - Towards Multi-Document Driven Dialogue.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Towards a new generation of artificial intelligence in China.
Nat. Mach. Intell., 2020

S^3-Rec: Self-Supervised Learning for Sequential Recommendation with Mutual Information Maximization.
CoRR, 2020

Answer-Driven Visual State Estimator for Goal-Oriented Visual Dialogue.
Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020

STGCN: A Spatial-Temporal Aware Graph Learning Method for POI Recommendation.
Proceedings of the 20th IEEE International Conference on Data Mining, 2020

Table Fact Verification with Structure-Aware Transformer.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Learn with Noisy Data via Unsupervised Loss Correction for Weakly Supervised Reading Comprehension.
Proceedings of the 28th International Conference on Computational Linguistics, 2020

Leveraging Historical Interaction Data for Improving Conversational Recommender System.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

S3-Rec: Self-Supervised Learning for Sequential Recommendation with Mutual Information Maximization.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

Query-aware Tip Generation for Vertical Search.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

TABLE: A Task-Adaptive BERT-based ListwisE Ranking Model for Document Retrieval.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

Multi-modal Knowledge Graphs for Recommender Systems.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

2019
Microsoft Concept Graph: Mining Semantic Concepts for Short Text Understanding.
Data Intell., 2019

Earlier Attention? Aspect-Aware LSTM for Aspect Sentiment Analysis.
CoRR, 2019

Knowledge Graph Convolutional Networks for Recommender Systems with Label Smoothness Regularization.
CoRR, 2019

Knowledge-aware Graph Neural Networks with Label Smoothness Regularization for Recommender Systems.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

Earlier Attention? Aspect-Aware LSTM for Aspect-Based Sentiment Analysis.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

2017
Understand Short Texts by Harvesting and Analyzing Semantic Knowledge.
IEEE Trans. Knowl. Data Eng., 2017

Design and in-situ evaluation of a mixed-initiative approach to information organization.
J. Assoc. Inf. Sci. Technol., 2017

Can Machines Intelligently Propose Novel and Reasonable Scientific Hypotheses?
Proceedings of the 26th International Conference on World Wide Web Companion, 2017

Combining Knowledge with Deep Convolutional Neural Networks for Short Text Classification.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Semantic Definition Ranking.
Proceedings of the Database Systems for Advanced Applications, 2017

Efficiently Answering Technical Questions - A Knowledge Graph Approach.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
Unsupervised Head-Modifier Detection in Search Queries.
ACM Trans. Knowl. Discov. Data, 2016

Commonsense Causal Reasoning between Short Texts.
Proceedings of the Principles of Knowledge Representation and Reasoning: Proceedings of the Fifteenth International Conference, 2016

Syntactic Parsing of Web Queries.
Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016

Probabilistic Prototype Model for Serendipitous Property Mining.
Proceedings of the COLING 2016, 2016

Trivia quiz mining using probabilistic knowledge.
Proceedings of the 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2016

2015
A Large Probabilistic Semantic Network Based Approach to Compute Term Similarity.
IEEE Trans. Knowl. Data Eng., 2015

Query Understanding through Knowledge-Based Conceptualization.
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

Short text understanding through lexical-semantic analysis.
Proceedings of the 31st IEEE International Conference on Data Engineering, 2015

Bring User Interest to Related Entity Recommendation.
Proceedings of the Graph Structures for Knowledge Representation and Reasoning, 2015

Using Encyclopedic Knowledge to Understand Queries.
Proceedings of the First International Workshop on Novel Web Search Interfaces and Systems, 2015

An Inference Approach to Basic Level of Categorization.
Proceedings of the 24th ACM International Conference on Information and Knowledge Management, 2015

Contextual Text Understanding in Distributional Semantic Space.
Proceedings of the 24th ACM International Conference on Information and Knowledge Management, 2015

2014
Exploiting Description Knowledge for Keyphrase Extraction.
Proceedings of the PRICAI 2014: Trends in Artificial Intelligence, 2014

Head, modifier, and constraint detection in short texts.
Proceedings of the IEEE 30th International Conference on Data Engineering, Chicago, 2014

Concept-based Short Text Classification and Ranking.
Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management, 2014

2013
A Distributed Graph Engine for Web Scale RDF Data.
Proc. VLDB Endow., 2013

Attribute extraction and scoring: A probabilistic approach.
Proceedings of the 29th IEEE International Conference on Data Engineering, 2013

Computing term similarity by large probabilistic isA knowledge.
Proceedings of the 22nd ACM International Conference on Information and Knowledge Management, 2013

2012
Preserving privacy on the searchable internet.
Int. J. Web Inf. Syst., 2012

Optimizing index for taxonomy keyword search.
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2012

Understanding Tables on the Web.
Proceedings of the Conceptual Modeling, 2012

2011
Web Scale Taxonomy Cleansing.
Proc. VLDB Endow., 2011

Short Text Conceptualization Using a Probabilistic Knowledgebase.
Proceedings of the IJCAI 2011, 2011

2009
An efficient multi-dimensional index for cloud data management.
Proceedings of the First International CIKM Workshop on Cloud Data Management, 2009


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