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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
- [j19]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) - [j18]Yang Wu
, Yao Wan
, Hongyu Zhang
, Yulei Sui
, Wucai Wei
, Wei Zhao
, Guandong Xu
, Hai Jin
:
Automated Data Visualization from Natural Language via Large Language Models: An Exploratory Study. Proc. ACM Manag. Data 2(3): 115 (2024) - [j17]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. Proc. ACM Softw. Eng. 1(FSE): 182-203 (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) - [c34]Zhangqian Bi, Yao Wan, Zheng Wang, Hongyu Zhang, Batu Guan, Fangxin Lu, Zili Zhang, Yulei Sui, Hai Jin, Xuanhua Shi:
Iterative Refinement of Project-Level Code Context for Precise Code Generation with Compiler Feedback. ACL (Findings) 2024: 2336-2353 - [c33]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 - [c32]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 - [c31]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. ICLR 2024 - [i48]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) - [i47]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) - [i46]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) - [i45]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) - [i44]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) - [i43]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) - [i42]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) - [i41]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) - [i40]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) - [i39]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) - [i38]Batu Guan, Yao Wan, Zhangqian Bi, Zheng Wang, Hongyu Zhang, Yulei Sui, Pan Zhou, Lichao Sun:
CodeIP: A Grammar-Guided Multi-Bit Watermark for Large Language Models of Code. CoRR abs/2404.15639 (2024) - [i37]Zhaoyang Chu, Yao Wan, Qian Li, Yang Wu, Hongyu Zhang, Yulei Sui, Guandong Xu, Hai Jin:
Graph Neural Networks for Vulnerability Detection: A Counterfactual Explanation. CoRR abs/2404.15687 (2024) - [i36]Yang Wu, Yao Wan, Hongyu Zhang, Yulei Sui, Wucai Wei, Wei Zhao, Guandong Xu, Hai Jin:
Automated Data Visualization from Natural Language via Large Language Models: An Exploratory Study. CoRR abs/2404.17136 (2024) - [i35]Chujie Gao, Qihui Zhang, Dongping Chen, Yue Huang, Siyuan Wu, Zhengyan Fu, Yao Wan, Xiangliang Zhang, Lichao Sun:
The Best of Both Worlds: Toward an Honest and Helpful Large Language Model. CoRR abs/2406.00380 (2024) - [i34]Dongping Chen, Yue Huang, Siyuan Wu, Jingyu Tang, Liuyi Chen, Yilin Bai, Zhigang He, Chenlong Wang, Huichi Zhou, Yiqiang Li, Tianshuo Zhou, Yue Yu, Chujie Gao, Qihui Zhang, Yi Gui, Zhen Li, Yao Wan, Pan Zhou, Jianfeng Gao, Lichao Sun:
GUI-WORLD: A Dataset for GUI-oriented Multimodal LLM-based Agents. CoRR abs/2406.10819 (2024) - [i33]Yue Huang, Jingyu Tang, Dongping Chen, Bingda Tang, Yao Wan, Lichao Sun, Xiangliang Zhang:
ObscurePrompt: Jailbreaking Large Language Models via Obscure Input. CoRR abs/2406.13662 (2024) - [i32]Siyuan Wu, Yue Huang, Chujie Gao, Dongping Chen, Qihui Zhang, Yao Wan, Tianyi Zhou, Xiangliang Zhang, Jianfeng Gao, Chaowei Xiao, Lichao Sun:
UniGen: A Unified Framework for Textual Dataset Generation Using Large Language Models. CoRR abs/2406.18966 (2024) - [i31]Dongping Chen, Jiawen Shi, Yao Wan, Pan Zhou, Neil Zhenqiang Gong, Lichao Sun:
Self-Cognition in Large Language Models: An Exploratory Study. CoRR abs/2407.01505 (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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last updated on 2024-08-23 18:31 CEST by the dblp team
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