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Yao Wan 0001
Person information
- affiliation: Huazhong University of Science and Technology, China
- affiliation (former): Zhejiang University, China
Other persons with the same name
- Yao Wan 0002 — Tsinghua University, Department of Mathematical Sciences, Beijing, China
- Yao Wan 0003 — Nanjing University of Information Science and Technology, MoE Engineering Research Center of Digital Forensics, China
- Yao Wan 0004 — South China University of Technology, Department of Electronic Business, Guangzhou, China
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2020 – today
- 2024
- [j17]Junsan Zhang, Ming Cheng, Qiaoqiao Cheng, Xiuxuan Shen, Yao Wan, Jie Zhu, Mengxuan Liu:
Hierarchical medical image report adversarial generation with hybrid discriminator. Artif. Intell. Medicine 151: 102846 (2024) - [j16]Juncai Guo, Jin Liu, Xiao Liu, Yao Wan, Yanjie Zhao, Li Li, Kui Liu, Jacques Klein, Tegawendé F. Bissyandé:
PyScribe-Learning to describe python code. Softw. Pract. Exp. 54(3): 501-527 (2024) - [j15]Dezhong Yao, Wanning Pan, Yutong Dai, Yao Wan, Xiaofeng Ding, Chen Yu, Hai Jin, Zheng Xu, Lichao Sun:
FedGKD: Toward Heterogeneous Federated Learning via Global Knowledge Distillation. IEEE Trans. Computers 73(1): 3-17 (2024) - [j14]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. IEEE Trans. Knowl. Data Eng. 36(2): 475-489 (2024) - [c32]Zhihong Sun, Chen Lyu, Bolun Li, Yao Wan, Hongyu Zhang, Ge Li, Zhi Jin:
Enhancing Code Generation Performance of Smaller Models by Distilling the Reasoning Ability of LLMs. LREC/COLING 2024: 5878-5895 - [c31]Wei Zhao, Zhitao Hou, Siyuan Wu, Yang Gao, Haoyu Dong, Yao Wan, Hongyu Zhang, Yulei Sui, Haidong Zhang:
NL2Formula: Generating Spreadsheet Formulas from Natural Language Queries. EACL (Findings) 2024: 2377-2388 - [i40]Yao Wan, Yang He, Zhangqian Bi, Jianguo Zhang, Hongyu Zhang, Yulei Sui, Guandong Xu, Hai Jin, Philip S. Yu:
Deep Learning for Code Intelligence: Survey, Benchmark and Toolkit. CoRR abs/2401.00288 (2024) - [i39]Chujie Gao, Dongping Chen, Qihui Zhang, Yue Huang, Yao Wan, Lichao Sun:
LLM-as-a-Coauthor: The Challenges of Detecting LLM-Human Mixcase. CoRR abs/2401.05952 (2024) - [i38]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 abs/2401.16637 (2024) - [i37]Yuan Li, Yue Huang, Yuli Lin, Siyuan Wu, Yao Wan, Lichao Sun:
I Think, Therefore I am: Awareness in Large Language Models. CoRR abs/2401.17882 (2024) - [i36]Dongping Chen, Ruoxi Chen, Shilin Zhang, Yinuo Liu, Yaochen Wang, Huichi Zhou, Qihui Zhang, Pan Zhou, Yao Wan, Lichao Sun:
MLLM-as-a-Judge: Assessing Multimodal LLM-as-a-Judge with Vision-Language Benchmark. CoRR abs/2402.04788 (2024) - [i35]Wei Zhao, Zhitao Hou, Siyuan Wu, Yan Gao, Haoyu Dong, Yao Wan, Hongyu Zhang, Yulei Sui, Haidong Zhang:
NL2Formula: Generating Spreadsheet Formulas from Natural Language Queries. CoRR abs/2402.14853 (2024) - [i34]Zhihong Sun, Chen Lyu, Bolun Li, Yao Wan, Hongyu Zhang, Ge Li, Zhi Jin:
Enhancing Code Generation Performance of Smaller Models by Distilling the Reasoning Ability of LLMs. CoRR abs/2403.13271 (2024) - [i33]Zhangqian Bi, Yao Wan, Zheng Wang, Hongyu Zhang, Batu Guan, Fangxin Lu, Zili Zhang, Yulei Sui, Xuanhua Shi, Hai Jin:
Iterative Refinement of Project-Level Code Context for Precise Code Generation with Compiler Feedback. CoRR abs/2403.16792 (2024) - [i32]Yi Gui, Zhen Li, Yao Wan, Yemin Shi, Hongyu Zhang, Yi Su, Shaoling Dong, Xing Zhou, Wenbin Jiang:
VISION2UI: A Real-World Dataset with Layout for Code Generation from UI Designs. CoRR abs/2404.06369 (2024) - [i31]Yao Wan, Guanghua Wan, Shijie Zhang, Hongyu Zhang, Yulei Sui, Pan Zhou, Hai Jin, Lichao Sun:
Does Your Neural Code Completion Model Use My Code? A Membership Inference Approach. CoRR abs/2404.14296 (2024) - 2023
- [j13]Junsan Zhang, Xiaomin Wang, Yao Wan, Leiquan Wang, Jian Wang, Philip S. Yu:
SOR-TC: Self-attentive octave ResNet with temporal consistency for compressed video action recognition. Neurocomputing 533: 191-205 (2023) - [j12]Juncai Guo, Jin Liu, Xiao Liu, Yao Wan, Li Li:
Summarizing source code with Heterogeneous Syntax Graph and dual position. Inf. Process. Manag. 60(5): 103415 (2023) - [j11]Fengji Zhang, Jin Liu, Yao Wan, Xiao Yu, Xiao Liu, Jacky Keung:
Diverse title generation for Stack Overflow posts with multiple-sampling-enhanced transformer. J. Syst. Softw. 200: 111672 (2023) - [j10]Jibing Gong, Yao Wan, Ye Liu, Xuewen Li, Yi Zhao, Cheng Wang, Yuting Lin, Xiaohan Fang, Wenzheng Feng, Jingyi Zhang, Jie Tang:
Reinforced MOOCs Concept Recommendation in Heterogeneous Information Networks. ACM Trans. Web 17(3): 22:1-22:27 (2023) - [c30]Zhengtao Liu, Lei Tan, Mengfan Li, Yao Wan, Hai Jin, Xuanhua Shi:
SiMFy: A Simple Yet Effective Approach for Temporal Knowledge Graph Reasoning. EMNLP (Findings) 2023: 3825-3836 - [c29]Wenting Zhao, Ye Liu, Yao Wan, Yibo Wang, Zhongfen Deng, Philip S. Yu:
Localize, Retrieve and Fuse: A Generalized Framework for Free-Form Question Answering over Tables. IJCNLP (Findings) 2023: 1-12 - [c28]Yibo Wang, Wenting Zhao, Yao Wan, Zhongfen Deng, Philip S. Yu:
Named Entity Recognition via Machine Reading Comprehension: A Multi-Task Learning Approach. IJCNLP (Findings) 2023: 13-19 - [i30]Jiahao Zhu, Daizong Liu, Pan Zhou, Xing Di, Yu Cheng, Song Yang, Wenzheng Xu, Zichuan Xu, Yao Wan, Lichao Sun, Zeyu Xiong:
Rethinking the Video Sampling and Reasoning Strategies for Temporal Sentence Grounding. CoRR abs/2301.00514 (2023) - [i29]Yibo Wang, Wenting Zhao, Yao Wan, Zhongfen Deng, Philip S. Yu:
Named Entity Recognition via Machine Reading Comprehension: A Multi-Task Learning Approach. CoRR abs/2309.11027 (2023) - [i28]Wenting Zhao, Ye Liu, Yao Wan, Yibo Wang, Zhongfen Deng, Philip S. Yu:
Localize, Retrieve and Fuse: A Generalized Framework for Free-Form Question Answering over Tables. CoRR abs/2309.11049 (2023) - [i27]Yue Huang, Jiawen Shi, Yuan Li, Chenrui Fan, Siyuan Wu, Qihui Zhang, Yixin Liu, Pan Zhou, Yao Wan, Neil Zhenqiang Gong, Lichao Sun:
MetaTool Benchmark for Large Language Models: Deciding Whether to Use Tools and Which to Use. CoRR abs/2310.03128 (2023) - [i26]Wenting Zhao, Ye Liu, Tong Niu, Yao Wan, Philip S. Yu, Shafiq Joty, Yingbo Zhou, Semih Yavuz:
DIVKNOWQA: Assessing the Reasoning Ability of LLMs via Open-Domain Question Answering over Knowledge Base and Text. CoRR abs/2310.20170 (2023) - [i25]Wenting Zhao, Ye Liu, Yao Wan, Yibo Wang, Qingyang Wu, Zhongfen Deng, Jiangshu Du, Shuaiqi Liu, Yunlong Xu, Philip S. Yu:
kNN-ICL: Compositional Task-Oriented Parsing Generalization with Nearest Neighbor In-Context Learning. CoRR abs/2312.10771 (2023) - 2022
- [j9]Thazin Win Win Aung, Yao Wan, Huan Huo, Yulei Sui:
Multi-triage: A multi-task learning framework for bug triage. J. Syst. Softw. 184: 111133 (2022) - [j8]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): 66:1-66:26 (2022) - [j7]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: 4170-4182 (2022) - [j6]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): 52:1-52:44 (2022) - [j5]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): 102-119 (2022) - [c27]Jintai Chen, Kuanlun Liao, Yao Wan, Danny Z. Chen, Jian Wu:
DANets: Deep Abstract Networks for Tabular Data Classification and Regression. AAAI 2022: 3930-3938 - [c26]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: 9-19 - [c25]Juncai Guo, Jin Liu, Yao Wan, Li Li, Pingyi Zhou:
Modeling Hierarchical Syntax Structure with Triplet Position for Source Code Summarization. ACL (1) 2022: 486-500 - [c24]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: 12-20 - [c23]Jiahao Zhu, Daizong Liu, Pan Zhou, Xing Di, Yu Cheng, Song Yang, Wenzheng Xu, Zichuan Xu, Yao Wan, Lichao Sun, Zeyu Xiong:
Rethinking the Video Sampling and Reasoning Strategies for Temporal Sentence Grounding. EMNLP (Findings) 2022: 590-600 - [c22]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: 149-153 - [c21]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: 2377-2388 - [c20]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: 1066-1077 - [c19]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: 1233-1245 - [c18]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: 601-612 - [i24]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 abs/2201.07420 (2022) - [i23]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 abs/2202.06840 (2022) - [i22]Wenting Zhao, Ye Liu, Yao Wan, Philip S. Yu:
Attend, Memorize and Generate: Towards Faithful Table-to-Text Generation in Few Shots. CoRR abs/2203.00732 (2022) - [i21]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 abs/2203.05132 (2022) - [i20]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 abs/2203.11011 (2022) - [i19]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 abs/2205.02029 (2022) - [i18]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 abs/2206.07472 (2022) - [i17]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 abs/2208.11523 (2022) - 2021
- [j4]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): 304-318 (2021) - [c17]Ye Liu, Yao Wan, Lifang He, Hao Peng, Philip S. Yu:
KG-BART: Knowledge Graph-Augmented BART for Generative Commonsense Reasoning. AAAI 2021: 6418-6425 - [c16]Jingfeng Zhang, Haiwen Hong, Yin Zhang, Yao Wan, Ye Liu, Yulei Sui:
Disentangled Code Representation Learning for Multiple Programming Languages. ACL/IJCNLP (Findings) 2021: 4454-4466 - [c15]Ye Liu, Yao Wan, Jian-Guo Zhang, Wenting Zhao, Philip S. Yu:
Enriching Non-Autoregressive Transformer with Syntactic and Semantic Structures for Neural Machine Translation. EACL 2021: 1235-1244 - [c14]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. EMNLP (1) 2021: 146-154 - [c13]Haiwen Hong, Jingfeng Zhang, Yin Zhang, Yao Wan, Yulei Sui:
Fix-Filter-Fix: Intuitively Connect Any Models for Effective Bug Fixing. EMNLP (1) 2021: 3495-3504 - [c12]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: 4106-4117 - [i16]Ye Liu, Yao Wan, Jian-Guo Zhang, Wenting Zhao, Philip S. Yu:
Enriching Non-Autoregressive Transformer with Syntactic and SemanticStructures for Neural Machine Translation. CoRR abs/2101.08942 (2021) - [i15]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 abs/2106.04564 (2021) - [i14]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 abs/2110.06388 (2021) - [i13]Dezhong Yao, Wanning Pan, Yao Wan, Hai Jin, Lichao Sun:
FedHM: Efficient Federated Learning for Heterogeneous Models via Low-rank Factorization. CoRR abs/2111.14655 (2021) - [i12]Jintai Chen, Kuanlun Liao, Yao Wan, Danny Z. Chen, Jian Wu:
DANets: Deep Abstract Networks for Tabular Data Classification and Regression. CoRR abs/2112.02962 (2021) - 2020
- [j3]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) - [c11]Jian-Guo 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: 5064-5082 - [c10]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: 278-285 - [c9]Jian-Guo 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. *SEM@COLING 2020: 154-167 - [i11]Ye Liu, Yao Wan, Lifang He, Hao Peng, Philip S. Yu:
KG-BART: Knowledge Graph-Augmented BART for Generative Commonsense Reasoning. CoRR abs/2009.12677 (2020) - [i10]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 abs/2010.06310 (2020) - [i9]Jian-Guo 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 abs/2010.13009 (2020) - [i8]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 abs/2012.03225 (2020)
2010 – 2019
- 2019
- [c8]Yue Wang, Yao Wan, Chenwei Zhang, Lu Bai, Lixin Cui, Philip S. Yu:
Competitive Multi-agent Deep Reinforcement Learning with Counterfactual Thinking. ICDM 2019: 1366-1371 - [c7]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: 13-25 - [c6]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: 64-72 - [i7]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 abs/1904.01735 (2019) - [i6]Yue Wang, Yao Wan, Chenwei Zhang, Lixin Cui, Lu Bai, Philip S. Yu:
Competitive Multi-Agent Deep Reinforcement Learning with Counterfactual Thinking. CoRR abs/1908.04573 (2019) - [i5]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 abs/1909.13516 (2019) - [i4]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 abs/1910.03544 (2019) - 2018
- [j2]Yao Wan, Guandong Xu, Liang Chen, Zhou Zhao, Jian Wu:
Exploiting cross-source knowledge for warming up community question answering services. Neurocomputing 320: 25-34 (2018) - [j1]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): 1523-1543 (2018) - [c5]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: 841-850 - [c4]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: 397-407 - [i3]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 abs/1811.04498 (2018) - [i2]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 abs/1811.05021 (2018) - [i1]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 abs/1811.07234 (2018) - 2017
- [c3]Yuqiang Han, Yao Wan, Liang Chen, Guandong Xu, Jian Wu:
Exploiting Geographical Location for Team Formation in Social Coding Sites. PAKDD (1) 2017: 499-510 - 2016
- [c2]Yao Wan, Liang Chen, Qi Yu, Tingting Liang, Jian Wu:
Incorporating Heterogeneous Information for Mashup Discovery with Consistent Regularization. PAKDD (1) 2016: 436-448 - 2015
- [c1]Yao Wan, Liang Chen, Jian Wu, Qi Yu:
Time-Aware API Popularity Prediction via Heterogeneous Features. ICWS 2015: 424-431
Coauthor Index
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