Wei Ye

Orcid: 0000-0002-9331-4716

Affiliations:
  • Peking University, National Engineering Research Center for Software Engineering, Beijing, China


According to our database1, Wei Ye authored at least 73 papers between 2009 and 2024.

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

Timeline

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Bibliography

2024
Exploring Vision-Language Models for Imbalanced Learning.
Int. J. Comput. Vis., January, 2024

2023
TiMix: Text-aware Image Mixing for Effective Vision-Language Pre-training.
CoRR, 2023

Labels Need Prompts Too: Mask Matching for Natural Language Understanding Tasks.
CoRR, 2023

BUS: Efficient and Effective Vision-language Pre-training with Bottom-Up Patch Summarization.
CoRR, 2023

EmoGen: Eliminating Subjective Bias in Emotional Music Generation.
CoRR, 2023

PandaLM: An Automatic Evaluation Benchmark for LLM Instruction Tuning Optimization.
CoRR, 2023

GETMusic: Generating Any Music Tracks with a Unified Representation and Diffusion Framework.
CoRR, 2023

Vision Langauge Pre-training by Contrastive Learning with Cross-Modal Similarity Regulation.
CoRR, 2023

Evaluating ChatGPT's Information Extraction Capabilities: An Assessment of Performance, Explainability, Calibration, and Faithfulness.
CoRR, 2023

On the Robustness of ChatGPT: An Adversarial and Out-of-distribution Perspective.
CoRR, 2023

Dialog-to-Actions: Building Task-Oriented Dialogue System via Action-Level Generation.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

COPA : Efficient Vision-Language Pre-training through Collaborative Object- and Patch-Text Alignment.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

BUS : Efficient and Effective Vision-language Pre-training with Bottom-Up Patch Summarization.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

MusicAgent: An AI Agent for Music Understanding and Generation with Large Language Models.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Exploiting Pseudo Future Contexts for Emotion Recognition in Conversations.
Proceedings of the Advanced Data Mining and Applications - 19th International Conference, 2023

Improving Knowledge Graph Completion with Generative Hard Negative Mining.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Vision Language Pre-training by Contrastive Learning with Cross-Modal Similarity Regulation.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Exploiting Pseudo Image Captions for Multimodal Summarization.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Sequence Generation with Label Augmentation for Relation Extraction.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Reviewing Labels: Label Graph Network with Top-k Prediction Set for Relation Extraction.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Conv-Adapter: Exploring Parameter Efficient Transfer Learning for ConvNets.
CoRR, 2022

USB: A Unified Semi-supervised Learning Benchmark.
CoRR, 2022

A Low-Cost, Controllable and Interpretable Task-Oriented Chatbot: With Real-World After-Sale Services as Example.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

Museformer: Transformer with Fine- and Coarse-Grained Attention for Music Generation.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

USB: A Unified Semi-supervised Learning Benchmark for Classification.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Low-Resources Project-Specific Code Summarization.
Proceedings of the 37th IEEE/ACM International Conference on Automated Software Engineering, 2022

MUSIED: A Benchmark for Event Detection from Multi-Source Heterogeneous Informal Texts.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

TRIPS: Efficient Vision-and-Language Pre-training with Text-Relevant Image Patch Selection.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

DESED: Dialogue-based Explanation for Sentence-level Event Detection.
Proceedings of the 29th International Conference on Computational Linguistics, 2022

Exploiting Hybrid Semantics of Relation Paths for Multi-hop Question Answering over Knowledge Graphs.
Proceedings of the 29th International Conference on Computational Linguistics, 2022

Label Smoothing for Text Mining.
Proceedings of the 29th International Conference on Computational Linguistics, 2022

Frequency-Aware Contrastive Learning for Neural Machine Translation.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Legal Judgment Prediction with Multi-Stage CaseRepresentation Learning in the Real Court Setting.
CoRR, 2021

Legal Judgment Prediction with Multi-Stage Case Representation Learning in the Real Court Setting.
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

Multi-Hop Transformer for Document-Level Machine Translation.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

QuadrupletBERT: An Efficient Model For Embedding-Based Large-Scale Retrieval.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Exploiting Method Names to Improve Code Summarization: A Deliberation Multi-Task Learning Approach.
Proceedings of the 29th IEEE/ACM International Conference on Program Comprehension, 2021

Improving Event Detection by Exploiting Label Hierarchy.
Proceedings of the IEEE International Conference on Acoustics, 2021

Improving Embedding-based Large-scale Retrieval via Label Enhancement.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

Keyword-Aware Encoder for Abstractive Text Summarization.
Proceedings of the Database Systems for Advanced Applications, 2021

Distilling Knowledge from BERT into Simple Fully Connected Neural Networks for Efficient Vertical Retrieval.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

Point, Disambiguate and Copy: Incorporating Bilingual Dictionaries for Neural Machine Translation.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

Capturing Event Argument Interaction via A Bi-Directional Entity-Level Recurrent Decoder.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

SongMASS: Automatic Song Writing with Pre-training and Alignment Constraint.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Multi-view Inference for Relation Extraction with Uncertain Knowledge.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Leveraging Code Generation to Improve Code Retrieval and Summarization via Dual Learning.
Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

Exploiting Code Knowledge Graph for Bug Localization via Bi-directional Attention.
Proceedings of the ICPC '20: 28th International Conference on Program Comprehension, 2020

Not All Synonyms Are Created Equal: Incorporating Similarity of Synonyms to Enhance Word Embeddings.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Sliding Hierarchical Recurrent Neural Networks for Sequence Classification.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Stacking Networks Dynamically for Image Restoration Based on the Plug-and-Play Framework.
Proceedings of the Computer Vision - ECCV 2020, 2020

Leveraging Human Prior Knowledge to Learn Sense Representations.
Proceedings of the ECAI 2020 - 24th European Conference on Artificial Intelligence, 29 August-8 September 2020, Santiago de Compostela, Spain, August 29 - September 8, 2020, 2020

Graph Enhanced Dual Attention Network for Document-Level Relation Extraction.
Proceedings of the 28th International Conference on Computational Linguistics, 2020

Deep Dynamic Boosted Forest.
Proceedings of The 12th Asian Conference on Machine Learning, 2020

2019
DeepLink: A Code Knowledge Graph Based Deep Learning Approach for Issue-Commit Link Recovery.
Proceedings of the 26th IEEE International Conference on Software Analysis, 2019

PKUSE at SemEval-2019 Task 3: Emotion Detection with Emotion-Oriented Neural Attention Network.
Proceedings of the 13th International Workshop on Semantic Evaluation, 2019

A Hybrid Character Representation for Chinese Event Detection.
Proceedings of the International Joint Conference on Neural Networks, 2019

Long Text Analysis Using Sliced Recurrent Neural Networks with Breaking Point Information Enrichment.
Proceedings of the IEEE International Conference on Acoustics, 2019

Capturing source code semantics via tree-based convolution over API-enhanced AST.
Proceedings of the 16th ACM International Conference on Computing Frontiers, 2019

Exploiting Entity BIO Tag Embeddings and Multi-task Learning for Relation Extraction with Imbalanced Data.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018
An Ensemble Approach for Detecting Anomalous User Behaviors.
Int. J. Softw. Eng. Knowl. Eng., 2018

Refining Traceability Links Between Vulnerability and Software Component in a Vulnerability Knowledge Graph.
Proceedings of the Web Engineering - 18th International Conference, 2018

Attention Enhanced Chinese Word Embeddings.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2018, 2018

Runtime Resource Management for Microservices-Based Applications: A Congestion Game Approach (Short Paper).
Proceedings of the Collaborative Computing: Networking, Applications and Worksharing, 2018

2017
Anomaly-Based Web Attack Detection: A Deep Learning Approach.
Proceedings of the VI International Conference on Network, Communication and Computing, 2017

2016
A Query Language of Data Provenance Based on Dependency View for Process Analysis.
Proceedings of the 28th International Conference on Software Engineering and Knowledge Engineering, 2016

2015
Towards a Deployment System for Cloud Applications.
Proceedings of the 27th International Conference on Software Engineering and Knowledge Engineering, 2015

2013
A Lightweight Process Mashup Approach Based on Business Unit.
Proceedings of the Seventh IEEE International Symposium on Service-Oriented System Engineering, 2013

2012
A Data Collaboration Model for Collaborative Design Based on C-Net.
Proceedings of the 24th International Conference on Software Engineering & Knowledge Engineering (SEKE'2012), 2012

BuOA: An Achitecture Style for Modular Web Applications.
Proceedings of the 19th Asia-Pacific Software Engineering Conference, 2012

2011
Data Uncertainty Model for Mashup.
Proceedings of the 23rd International Conference on Software Engineering & Knowledge Engineering (SEKE'2011), 2011

2009
Formal Definition and Detection Algorithm for Passive Event in RFID Middleware.
Proceedings of the Advances in Data and Web Management, Joint International Conferences, 2009

Towards Lightweight Application Integration Based on Mashup.
Proceedings of the 2009 IEEE Congress on Services, Part I, 2009

Towards Passive RFID Event.
Proceedings of the 33rd Annual IEEE International Computer Software and Applications Conference, 2009


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