Yujing Wang

Orcid: 0000-0002-7940-5216

Affiliations:
  • Coupang, Inc., Beijing, China


According to our database1, Yujing Wang authored at least 48 papers between 2013 and 2026.

Collaborative distances:

Timeline

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Bibliography

2026
SAMTok: Representing Any Mask with Two Words.
CoRR, January, 2026

2025
RecTok: Reconstruction Distillation along Rectified Flow.
CoRR, December, 2025

Open-o3 Video: Grounded Video Reasoning with Explicit Spatio-Temporal Evidence.
CoRR, October, 2025

CSRM-LLM: Embracing Multilingual LLMs for Cold-Start Relevance Matching in Emerging E-commerce Markets.
Proceedings of the 34th ACM International Conference on Information and Knowledge Management, 2025

MTL-LoRA: Low-Rank Adaptation for Multi-Task Learning.
Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024
Customizing graph neural networks using path reweighting.
Inf. Sci., 2024

MTL-LoRA: Low-Rank Adaptation for Multi-Task Learning.
CoRR, 2024

OneSparse: A Unified System for Multi-index Vector Search.
Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024


Collaborative Multi-Task Representation for Natural Language Understanding.
Proceedings of the International Joint Conference on Neural Networks, 2024

IRGen: Generative Modeling for Image Retrieval.
Proceedings of the Computer Vision - ECCV 2024, 2024

You Can't Ignore Either: Unifying Structure and Feature Denoising for Robust Graph Learning.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

2023
Convolution-Enhanced Evolving Attention Networks.
IEEE Trans. Pattern Anal. Mach. Intell., July, 2023

Align before Search: Aligning Ads Image to Text for Accurate Cross-Modal Sponsored Search.
CoRR, 2023

UPRISE: Universal Prompt Retrieval for Improving Zero-Shot Evaluation.
CoRR, 2023

Model-enhanced Vector Index.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Constraint-aware and Ranking-distilled Token Pruning for Efficient Transformer Inference.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

SpaceEvo: Hardware-Friendly Search Space Design for Efficient INT8 Inference.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

VL-Match: Enhancing Vision-Language Pretraining with Token-Level and Instance-Level Matching.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

UPRISE: Universal Prompt Retrieval for Improving Zero-Shot Evaluation.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Mitigating Semantic Confusion from Hostile Neighborhood for Graph Active Learning.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

To Copy Rather Than Memorize: A Vertical Learning Paradigm for Knowledge Graph Completion.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Estimating Treatment Effects from Irregular Time Series Observations with Hidden Confounders.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
A Neural Corpus Indexer for Document Retrieval.
CoRR, 2022

Learning Multi-granularity Consecutive User Intent Unit for Session-based Recommendation.
Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022

A Neural Corpus Indexer for Document Retrieval.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Enhancing Self-Attention with Knowledge-Assisted Attention Maps.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Heat-RL: Online Model Selection for Streaming Time-Series Anomaly Detection.
Proceedings of the Conference on Lifelong Learning Agents, 2022

SwiftPruner: Reinforced Evolutionary Pruning for Efficient Ad Relevance.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021
Modeling Multi-granularity User Intent Evolving via Heterogeneous Graph Neural Networks for Session-based Recommendation.
CoRR, 2021

Graph Attention Networks with LSTM-based Path Reweighting.
CoRR, 2021

DeGNN: Improving Graph Neural Networks with Graph Decomposition.
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

CogTree: Cognition Tree Loss for Unbiased Scene Graph Generation.
Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Evolving Attention with Residual Convolutions.
Proceedings of the 38th International Conference on Machine Learning, 2021

Syntax-BERT: Improving Pre-trained Transformers with Syntax Trees.
Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, 2021

2020
Cross-modal knowledge reasoning for knowledge-based visual question answering.
Pattern Recognit., 2020

Improving BERT with Self-Supervised Attention.
CoRR, 2020

Deeper Insights into Weight Sharing in Neural Architecture Search.
CoRR, 2020

Spectral Temporal Graph Neural Network for Multivariate Time-series Forecasting.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Mucko: Multi-Layer Cross-Modal Knowledge Reasoning for Fact-based Visual Question Answering.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Multivariate Time-series Anomaly Detection via Graph Attention Network.
Proceedings of the 20th IEEE International Conference on Data Mining, 2020

LadaBERT: Lightweight Adaptation of BERT through Hybrid Model Compression.
Proceedings of the 28th International Conference on Computational Linguistics, 2020

AutoADR: Automatic Model Design for Ad Relevance.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

TextNAS: A Neural Architecture Search Space Tailored for Text Representation.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Customized Graph Embedding: Tailoring the Embedding Vector to a Specific Application.
CoRR, 2019

An Anatomy of Graph Neural Networks Going Deep via the Lens of Mutual Information: Exponential Decay vs. Full Preservation.
CoRR, 2019

Time-Series Anomaly Detection Service at Microsoft.
Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019

2013
Ranking Scientific Articles by Exploiting Citations, Authors, Journals, and Time Information.
Proceedings of the Twenty-Seventh AAAI Conference on Artificial Intelligence, 2013


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