Yao Wan

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 60

Top Topics

Extractive Summarization

Reinforcement Learning

Heterogeneous Information Networks

Top Venues

Publications

Yao Wan, Lei Yang
Differential recycling strategies and government intervention in a closed-loop supply chain. Comput. Ind. Eng. 187 (2024)
Zhili Zhou, Yao Wan, Qi Cui, Keping Yu, Shahid Mumtaz, Ching-Nung Yang, Mohsen Guizani
Blockchain-Based Secure and Efficient Secret Image Sharing With Outsourcing Computation in Wireless Networks. IEEE Trans. Wirel. Commun. 23 (1) (2024)
Bolun Li, Zhihong Sun, Tao Huang, Hongyu Zhang, Yao Wan, Ge Li, Zhi Jin, Chen Lyu
IRCoCo: Immediate Rewards-Guided Deep Reinforcement Learning for Code Completion. CoRR (2024)
Yao Wan, Shijie Zhang, Hongyu Zhang, Yulei Sui, Guandong Xu, Dezhong Yao, Hai Jin, Lichao Sun
You see what I want you to see: poisoning vulnerabilities in neural code search. ESEC/SIGSOFT FSE (2022)
Wenhua Wang, Yuqun Zhang, Yulei Sui, Yao Wan, Zhou Zhao, Jian Wu, Philip S. Yu, Guandong Xu
Reinforcement-Learning-Guided Source Code Summarization Using Hierarchical Attention. IEEE Trans. Software Eng. 48 (2) (2022)
Jintai Chen, Kuanlun Liao, Yao Wan, Danny Z. Chen, Jian Wu
DANets: Deep Abstract Networks for Tabular Data Classification and Regression. AAAI (2022)
Yao Wan, Wei Zhao, Hongyu Zhang, Yulei Sui, Guandong Xu, Hai Jin
What Do They Capture? - A Structural Analysis of Pre-Trained Language Models for Source Code. CoRR (2022)
Zehao Lin, Guodun Li, Jingfeng Zhang, Yue Deng, Xiangji Zeng, Yin Zhang, Yao Wan
XCode: Towards Cross-Language Code Representation with Large-Scale Pre-Training. ACM Trans. Softw. Eng. Methodol. 31 (3) (2022)
Xin Wang, Yasheng Wang, Yao Wan, Fei Mi, Yitong Li, Pingyi Zhou, Jin Liu, Hao Wu, Xin Jiang, Qun Liu
Compilable Neural Code Generation with Compiler Feedback. CoRR (2022)
Xin Wang, Yasheng Wang, Yao Wan, Fei Mi, Yitong Li, Pingyi Zhou, Jin Liu, Hao Wu, Xin Jiang, Qun Liu
Compilable Neural Code Generation with Compiler Feedback. ACL (Findings) (2022)
Yuanyishu Tian, Yao Wan, Lingjuan Lyu, Dezhong Yao, Hai Jin, Lichao Sun
FedBERT: When Federated Learning Meets Pre-training. ACM Trans. Intell. Syst. Technol. 13 (4) (2022)
Xin Wang, Yasheng Wang, Yao Wan, Jiawei Wang, Pingyi Zhou, Li Li, Hao Wu, Jin Liu
CODE-MVP: Learning to Represent Source Code from Multiple Views with Contrastive Pre-Training. NAACL-HLT (Findings) (2022)
Wenting Zhao, Ye Liu, Yao Wan, Philip S. Yu
Attend, Memorize and Generate: Towards Faithful Table-to-Text Generation in Few Shots. CoRR (2022)
Yi Gui, Yao Wan, Hongyu Zhang, Huifang Huang, Yulei Sui, Guandong Xu, Zhiyuan Shao, Hai Jin
Cross-Language Binary-Source Code Matching with Intermediate Representations. CoRR (2022)
Juncai Guo, Jin Liu, Yao Wan, Li Li, Pingyi Zhou
Modeling Hierarchical Syntax Structure with Triplet Position for Source Code Summarization. ACL (1) (2022)
Thazin Win Win Aung, Yao Wan, Huan Huo, Yulei Sui
Multi-triage: A multi-task learning framework for bug triage. J. Syst. Softw. 184 (2022)
Yi Gui, Yao Wan, Hongyu Zhang, Huifang Huang, Yulei Sui, Guandong Xu, Zhiyuan Shao, Hai Jin
Cross-Language Binary-Source Code Matching with Intermediate Representations. SANER (2022)
Yue Wang, Yao Wan, Lu Bai, Lixin Cui, Zhuo Xu, Ming Li, Philip S. Yu, Edwin R. Hancock
Collaborative Knowledge Graph Fusion by Exploiting the Open Corpus. CoRR (2022)
Yao Wan, Wei Zhao, Hongyu Zhang, Yulei Sui, Guandong Xu, Hai Jin
What Do They Capture? - A Structural Analysis of Pre-Trained Language Models for Source Code. ICSE (2022)
Fengji Zhang, Jin Liu, Yao Wan, Xiao Yu, Xiao Liu, Jacky W. Keung
Diverse Title Generation for Stack Overflow Posts with Multiple Sampling Enhanced Transformer. CoRR (2022)
Jianguo Zhang, Kazuma Hashimoto, Yao Wan, Zhiwei Liu, Ye Liu, Caiming Xiong, Philip S. Yu
Are Pre-trained Transformers Robust in Intent Classification? A Missing Ingredient in Evaluation of Out-of-Scope Intent Detection. ConvAI@ACL (2022)
Xin Wang, Yasheng Wang, Yao Wan, Jiawei Wang, Pingyi Zhou, Li Li, Hao Wu, Jin Liu
CODE-MVP: Learning to Represent Source Code from Multiple Views with Contrastive Pre-Training. CoRR (2022)
Yao Wan, Yang He, Zhangqian Bi, Jianguo Zhang, Yulei Sui, Hongyu Zhang, Kazuma Hashimoto, Hai Jin, Guandong Xu, Caiming Xiong, Philip S. Yu
NaturalCC: An Open-Source Toolkit for Code Intelligence. ICSE-Companion (2022)
Jibing Gong, Yao Wan, Ye Liu, Xuewen Li, Yi Zhao, Cheng Wang, Qing Li, Wenzheng Feng, Jie Tang
Reinforced MOOCs Concept Recommendation in Heterogeneous Information Networks. CoRR (2022)
Dongjing Wang, Xin Zhang, Yao Wan, Dongjin Yu, Guandong Xu, Shuiguang Deng
Modeling Sequential Listening Behaviors With Attentive Temporal Point Process for Next and Next New Music Recommendation. IEEE Trans. Multim. 24 (2022)
Jianguo Zhang, Kazuma Hashimoto, Yao Wan, Ye Liu, Caiming Xiong, Philip S. Yu
Are Pretrained Transformers Robust in Intent Classification? A Missing Ingredient in Evaluation of Out-of-Scope Intent Detection. CoRR (2021)
Haiwen Hong, Jingfeng Zhang, Yin Zhang, Yao Wan, Yulei Sui
Fix-Filter-Fix: Intuitively Connect Any Models for Effective Bug Fixing. EMNLP (1) (2021)
Ye Liu, Jianguo Zhang, Yao Wan, Congying Xia, Lifang He, Philip S. Yu
HETFORMER: Heterogeneous Transformer with Sparse Attention for Long-Text Extractive Summarization. EMNLP (1) (2021)
Ye Liu, Yao Wan, Lifang He, Hao Peng, Philip S. Yu
KG-BART: Knowledge Graph-Augmented BART for Generative Commonsense Reasoning. AAAI (2021)
Ye Liu, Yao Wan, Jianguo Zhang, Wenting Zhao, Philip S. Yu
Enriching Non-Autoregressive Transformer with Syntactic and SemanticStructures for Neural Machine Translation. CoRR (2021)
Jintai Chen, Kuanlun Liao, Yao Wan, Danny Z. Chen, Jian Wu
DANets: Deep Abstract Networks for Tabular Data Classification and Regression. CoRR (2021)
Ye Liu, Jian-Guo Zhang, Yao Wan, Congying Xia, Lifang He, Philip S. Yu
HETFORMER: Heterogeneous Transformer with Sparse Attention for Long-Text Extractive Summarization. CoRR (2021)
Jingfeng Zhang, Haiwen Hong, Yin Zhang, Yao Wan, Ye Liu, Yulei Sui
Disentangled Code Representation Learning for Multiple Programming Languages. ACL/IJCNLP (Findings) (2021)
Wei Hua, Yulei Sui, Yao Wan, Guangzhong Liu, Guandong Xu
FCCA: Hybrid Code Representation for Functional Clone Detection Using Attention Networks. IEEE Trans. Reliab. 70 (1) (2021)
Dezhong Yao, Wanning Pan, Yao Wan, Hai Jin, Lichao Sun
FedHM: Efficient Federated Learning for Heterogeneous Models via Low-rank Factorization. CoRR (2021)
Ye Liu, Yao Wan, Jianguo Zhang, Wenting Zhao, Philip S. Yu
Enriching Non-Autoregressive Transformer with Syntactic and Semantic Structures for Neural Machine Translation. EACL (2021)
Wenting Zhao, Ye Liu, Yao Wan, Philip S. Yu
Attend, Memorize and Generate: Towards Faithful Table-to-Text Generation in Few Shots. EMNLP (Findings) (2021)
Yue Wang, Zhuo Xu, Lu Bai, Yao Wan, Lixin Cui, Qian Zhao, Edwin R. Hancock, Philip S. Yu
Cross-Supervised Joint-Event-Extraction with Heterogeneous Information Networks. CoRR (2020)
Yue Wang, Zhuo Xu, Lu Bai, Yao Wan, Lixin Cui, Qian Zhao, Edwin R. Hancock, Philip S. Yu
Cross-Supervised Joint-Event-Extraction with Heterogeneous Information Networks. ICPR (2020)
Yao Wan, Yang He, Jianguo Zhang, Yulei Sui, Hai Jin, Guandong Xu, Caiming Xiong, Philip S. Yu
NaturalCC: A Toolkit to Naturalize the Source Code Corpus. CoRR (2020)
Jianguo Zhang, Kazuma Hashimoto, Wenhao Liu, Chien-Sheng Wu, Yao Wan, Philip S. Yu, Richard Socher, Caiming Xiong
Discriminative Nearest Neighbor Few-Shot Intent Detection by Transferring Natural Language Inference. CoRR (2020)
Tingting Liang, Lei Zheng, Liang Chen, Yao Wan, Philip S. Yu, Jian Wu
Multi-view factorization machines for mobile app recommendation based on hierarchical attention. Knowl. Based Syst. 187 (2020)
Jianguo Zhang, Kazuma Hashimoto, Wenhao Liu, Chien-Sheng Wu, Yao Wan, Philip S. Yu, Richard Socher, Caiming Xiong
Discriminative Nearest Neighbor Few-Shot Intent Detection by Transferring Natural Language Inference. EMNLP (1) (2020)
Ye Liu, Yao Wan, Lifang He, Hao Peng, Philip S. Yu
KG-BART: Knowledge Graph-Augmented BART for Generative Commonsense Reasoning. CoRR (2020)
Yue Wang, Yao Wan, Chenwei Zhang, Lu Bai, Lixin Cui, Philip S. Yu
Competitive Multi-agent Deep Reinforcement Learning with Counterfactual Thinking. ICDM (2019)
Yao Wan, Jingdong Shu, Yulei Sui, Guandong Xu, Zhou Zhao, Jian Wu, Philip S. Yu
Multi-Modal Attention Network Learning for Semantic Source Code Retrieval. CoRR (2019)
Jianguo Zhang, Pengcheng Zou, Zhao Li, Yao Wan, Xiuming Pan, Yu Gong, Philip S. Yu
Multi-Modal Generative Adversarial Network for Short Product Title Generation in Mobile E-Commerce. NAACL-HLT (2) (2019)
Jianguo Zhang, Pengcheng Zou, Zhao Li, Yao Wan, Xiuming Pan, Yu Gong, Philip S. Yu
Multi-Modal Generative Adversarial Network for Short Product Title Generation in Mobile E-Commerce. CoRR (2019)
Yue Wang, Yao Wan, Chenwei Zhang, Lixin Cui, Lu Bai, Philip S. Yu
Competitive Multi-Agent Deep Reinforcement Learning with Counterfactual Thinking. CoRR (2019)
Yao Wan, Jingdong Shu, Yulei Sui, Guandong Xu, Zhou Zhao, Jian Wu, Philip S. Yu
Multi-modal Attention Network Learning for Semantic Source Code Retrieval. ASE (2019)
Jianguo Zhang, Kazuma Hashimoto, Chien-Sheng Wu, Yao Wan, Philip S. Yu, Richard Socher, Caiming Xiong
Find or Classify? Dual Strategy for Slot-Value Predictions on Multi-Domain Dialog State Tracking. CoRR (2019)
Yao Wan, Liang Chen, Guandong Xu, Zhou Zhao, Jie Tang, Jian Wu
SCSMiner: mining social coding sites for software developer recommendation with relevance propagation. World Wide Web 21 (6) (2018)
Jianguo Zhang, Pengcheng Zou, Zhao Li, Yao Wan, Ye Liu, Xiuming Pan, Yu Gong, Philip S. Yu
Product Title Refinement via Multi-Modal Generative Adversarial Learning. CoRR (2018)
Yao Wan, Wenqiang Yan, Jianwei Gao, Zhou Zhao, Jian Wu, Philip S. Yu
Improved Dynamic Memory Network for Dialogue Act Classification with Adversarial Training. IEEE BigData (2018)
Yao Wan, Zhou Zhao, Min Yang, Guandong Xu, Haochao Ying, Jian Wu, Philip S. Yu
Improving automatic source code summarization via deep reinforcement learning. ASE (2018)
Yao Wan, Zhou Zhao, Min Yang, Guandong Xu, Haochao Ying, Jian Wu, Philip S. Yu
Improving Automatic Source Code Summarization via Deep Reinforcement Learning. CoRR (2018)
Yao Wan, Wenqiang Yan, Jianwei Gao, Zhou Zhao, Jian Wu, Philip S. Yu
Improved Dynamic Memory Network for Dialogue Act Classification with Adversarial Training. CoRR (2018)
Yao Wan, Guandong Xu, Liang Chen, Zhou Zhao, Jian Wu
Exploiting cross-source knowledge for warming up community question answering services. Neurocomputing 320 (2018)
Yuqiang Han, Yao Wan, Liang Chen, Guandong Xu, Jian Wu
Exploiting Geographical Location for Team Formation in Social Coding Sites. PAKDD (1) (2017)
Yao Wan, Liang Chen, Qi Yu, Tingting Liang, Jian Wu
Incorporating Heterogeneous Information for Mashup Discovery with Consistent Regularization. PAKDD (1) (2016)
Yao Wan, Liang Chen, Jian Wu, Qi Yu
Time-Aware API Popularity Prediction via Heterogeneous Features. ICWS (2015)