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ORCIDWei Wu 0014
武威
Person information
- unicode name: 武威
- affiliation: Meituan Inc, Beijing, China
- affiliation (former): Microsoft Research Asia, Beijing, China
- affiliation (former, PhD 2012): Peking University, Beijing, China
Other persons with the same name
- Wei Wu — disambiguation page
- Wei Wu 0001
![[0000-0003-0343-4632]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0003-0343-4632")
— Fujian Normal University, School of Mathematics and Computer Science, Fuzhou, China (and 1 more) - Wei Wu 0002 — Sichuan University, College of Electronics and Information Engineering, Chengdu, China
- Wei Wu 0003 — Chinese Academy of Sciences, Institute of Automation, Beijing, China (and 3 more)
- Wei Wu 0004 — University of Texas at San Antonio, TX, USA
- Wei Wu 0005 — Nanjing University of Posts and Telecommunications, College of Telecommunications and Information Engineering, Nanjing, China (and 1 more)
- Wei Wu 0006 — Florida State University, Department of Statistics, Tallahassee, FL, USA
- Wei Wu 0007 — Hainan University, College of Information Science and Technology, Haikou, China (and 1 more)
- Wei Wu 0008 — Beihang University, State Key Lab of Virtual Reality Technology and Systems, Beijing, China (and 1 more)
- Wei Wu 0009 — Changsha University of Science and Technology, School of Traffic and Transportation Engineering, China
- Wei Wu 0010 — Dalian University of Technology, School of Mathematical Sciences, China (and 1 more)
- Wei Wu 0011 — Central South University, School of Computer Science and Engineering, Changsha, China (and 1 more)
- Wei Wu 0012 — Beijing Institute of Technology, School of Mechanical Engineering, National Key Laboratory of Vehicular Transmission, China
- Wei Wu 0013 — Naval University of Engineering, College of Weaponry Engineering, Wuhan, China (and 1 more)
- Wei Wu 0015 — National University of Defense Technology, School of Electronic Science, Changsha, China
- Wei Wu 0016 — Los Alamos National Laboratory, NM, USA (and 2 more)
- Wei Wu 0017 — Seikei University, Tokyo, Japan (and 1 more)
- Wei Wu 0018 — Jilin University, School of Communication Engineering, Changchun, China (and 1 more)
- Wei Wu 0019 — Xidian University, State Key Laboratory of Integrated Services Networks, Xi'an, China
- Wei Wu 0020 — Visa Inc, Singapore (and 2 more)
- Wei Wu 0021 — SenseTime Group Ltd, Urban Computing Group, China
- Wei Wu 0022 — South China University of Technology, College of Automation Science and Engineering, Guangzhou, China (and 2 more)
- Wei Wu 0023 — Carnegie Mellon University, School of Computer Science, Computational Biology Department, Pittsburgh, PA, USA (and 2 more)
- Wei Wu 0024 — Intel Research Laboratory, Hillsboro, OR, USA (and 1 more)
- Wei Wu 0025 — National Cancer Institute, Rockville, MD, USA (and 1 more)
- Wei Wu 0026 — Tongji University, CMIS Research Center, Shanghai, China
- Wei Wu 0027 — 54th Research Institute of China Electronics Technology Group Corporation, China (and 1 more)
- Wei Wu 0028 — University of California San Diego, Center for Memory and Recording Research, La Jolla, CA, USA
- Wei Wu 0029 — Zhejiang University of Technology, College of Computer Science and Technology, Hangzhou, China (and 1 more)
- Wei Wu 0030 — Xiamen University, Department of Chemistry, China
- Wei Wu 0031 — Liaoning University of Technology, College of Science, China
- Wei Wu 0032 — Inner Mongolia University, School of Computer Science, Huhhot, China
- Wei Wu 0033 — Beijing University of Posts and Telecommunications, Beijing Laboratory of Advanced Information Network / Beijing Key Laboratory of Network System Architecture and Convergence, China
- Wei Wu 0034 — Qingdao Agricultural University, College of Food Science and Engineering, China
- Wei Wu 0036 — Nanjing University of Posts and Telecommunications, College of Telecommunication and Information Engineering, MOE Key Laboratory of Broadband Wireless Communication and Sensor Network Technology, China
- Wei Wu 0037 — Chinese Academy of Sciences, Changchun Institute of Applied Chemistry, State Key Laboratory of Electroanalytical Chemistry, China
- Wei Wu 0038 — Southeast University, School of Instrument Science and Engineering, Nanjing, China
- Wei Wu 0039 — Lanzhou Jiaotong University, School of Electronic and Information Engineering, China
- Wei Wu 0040 — Leibniz University Hannover, L3S Research Center, Germany
- Wei Wu 0041 — University of Hong Kong, Department of Industrial and Manufacturing Systems Engineering, Hong Kong
- Wei Wu 0042 — Peking University, Key Laboratory of High Confidence Software Technologies of Ministry of Education, Beijing, China (and 1 more)
- Wei Wu 0043 — University of Technology, Austin, USA
- Wei Wu 0044 — ShannonAI (and 1 more)
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2020 – today
- 2024
[c107]Chen Zhang, Yang Yang, Qifan Wang, Jiahao Liu, Jingang Wang, Wei Wu, Dawei Song:
Minimal Distillation Schedule for Extreme Language Model Compression. EACL (Findings) 2024: 1378-1394- [c106]Liang Wang, Hao Fu, Shu Wu, Qiang Liu, Xuelei Tan, Fangsheng Huang, Mengdi Zhang, Wei Wu:
CAMLO: Cross-Attentive Multi-View Network for Long-Term Origin-Destination Flow Prediction. SDM 2024: 454-462 - [i68]Yuling Wang, Xiao Wang, Xiangzhou Huang, Yanhua Yu, Haoyang Li, Mengdi Zhang, Zirui Guo, Wei Wu:
Intent-aware Recommendation via Disentangled Graph Contrastive Learning. CoRR abs/2403.03714 (2024) - 2023
- [j10]Zihao Zhao, Jiawei Chen, Sheng Zhou, Xiangnan He, Xuezhi Cao, Fuzheng Zhang, Wei Wu:
Popularity Bias is not Always Evil: Disentangling Benign and Harmful Bias for Recommendation. IEEE Trans. Knowl. Data Eng. 35(10): 9920-9931 (2023) - [c105]Sirui Wang, Kaiwen Wei, Hongzhi Zhang, Yuntao Li, Wei Wu:
Let Me Check the Examples: Enhancing Demonstration Learning via Explicit Imitation. ACL (2) 2023: 1080-1088 - [c104]Rongyi Sun, Ziran Li, Yifeng Ding, Qifan Wang, Jingang Wang, Haitao Zheng, Wei Wu, Yunsen Xian:
Fusion or Defusion? Flexible Vision-and-Language Pre-Training. ACL (Findings) 2023: 5105-5119 - [c103]Zhuocheng Gong, Jiahao Liu, Qifan Wang, Yang Yang, Jingang Wang, Wei Wu, Yunsen Xian, Dongyan Zhao, Rui Yan:
PreQuant: A Task-agnostic Quantization Approach for Pre-trained Language Models. ACL (Findings) 2023: 8065-8079 - [c102]Jiduan Liu, Jiahao Liu, Qifan Wang, Jingang Wang, Wei Wu, Yunsen Xian, Dongyan Zhao, Kai Chen, Rui Yan:
RankCSE: Unsupervised Sentence Representations Learning via Learning to Rank. ACL (1) 2023: 13785-13802 - [c101]Weihao Zeng, Lulu Zhao, Keqing He, Ruotong Geng, Jingang Wang, Wei Wu, Weiran Xu:
Seen to Unseen: Exploring Compositional Generalization of Multi-Attribute Controllable Dialogue Generation. ACL (1) 2023: 14179-14196 - [c100]Yuyan Chen, Zhihao Wen, Ge Fan, Zhengyu Chen, Wei Wu, Dayiheng Liu, Zhixu Li, Bang Liu, Yanghua Xiao:
MAPO: Boosting Large Language Model Performance with Model-Adaptive Prompt Optimization. EMNLP (Findings) 2023: 3279-3304 - [c99]Yuntao Li, Zhenpeng Su, Yutian Li, Hanchu Zhang, Sirui Wang, Wei Wu, Yan Zhang:
T5-SR: A Unified Seq-to-Seq Decoding Strategy for Semantic Parsing. ICASSP 2023: 1-5 - [c98]Yonghao Liu, Di Liang, Fang Fang, Sirui Wang, Wei Wu, Rui Jiang:
Time-Aware Multiway Adaptive Fusion Network for Temporal Knowledge Graph Question Answering. ICASSP 2023: 1-5 - [c97]Hanqing Liu, Wei Wang, Niu Hu, Hai-Tao Zheng, Rui Xie, Wei Wu, Yang Bai:
Guide and Select: A Transformer-Based Multimodal Fusion Method for Points of Interest Description Generation. ICASSP 2023: 1-5 - [c96]Ying Mo, Hongyin Tang, Jiahao Liu, Qifan Wang, Zenglin Xu, Jingang Wang, Wei Wu, Zhoujun Li:
Multi-Task Transformer with Relation-Attention and Type-Attention for Named Entity Recognition. ICASSP 2023: 1-5 - [c95]Yuling Wang, Xiao Wang, Xiangzhou Huang, Yanhua Yu, Haoyang Li, Mengdi Zhang, Zirui Guo, Wei Wu:
Intent-aware Recommendation via Disentangled Graph Contrastive Learning. IJCAI 2023: 2343-2351 - [c94]Zepeng Huai, Yuji Yang, Mengdi Zhang, Zhongyi Zhang, Yichun Li, Wei Wu:
M2GNN: Metapath and Multi-interest Aggregated Graph Neural Network for Tag-based Cross-domain Recommendation. SIGIR 2023: 1468-1477 - [i67]Wentao Shi, Junkang Wu, Xuezhi Cao, Jiawei Chen, Wenqiang Lei, Wei Wu, Xiangnan He:
FFHR: Fully and Flexible Hyperbolic Representation for Knowledge Graph Completion. CoRR abs/2302.04088 (2023) - [i66]Yonghao Liu, Di Liang, Fang Fang, Sirui Wang, Wei Wu, Rui Jiang:
Time-aware Multiway Adaptive Fusion Network for Temporal Knowledge Graph Question Answering. CoRR abs/2302.12529 (2023) - [i65]Zepeng Huai, Yuji Yang, Mengdi Zhang, Zhongyi Zhang, Yichun Li, Wei Wu:
M2GNN: Metapath and Multi-interest Aggregated Graph Neural Network for Tag-based Cross-domain Recommendation. CoRR abs/2304.07911 (2023) - [i64]Jiduan Liu, Jiahao Liu, Qifan Wang, Jingang Wang, Wei Wu, Yunsen Xian, Dongyan Zhao, Kai Chen, Rui Yan:
RankCSE: Unsupervised Sentence Representations Learning via Learning to Rank. CoRR abs/2305.16726 (2023) - [i63]Zhuocheng Gong, Jiahao Liu, Qifan Wang, Yang Yang, Jingang Wang, Wei Wu, Yunsen Xian, Dongyan Zhao, Rui Yan:
PreQuant: A Task-agnostic Quantization Approach for Pre-trained Language Models. CoRR abs/2306.00014 (2023) - [i62]Yuntao Li, Zhenpeng Su, Yutian Li, Hanchu Zhang, Sirui Wang, Wei Wu, Yan Zhang:
T5-SR: A Unified Seq-to-Seq Decoding Strategy for Semantic Parsing. CoRR abs/2306.08368 (2023) - [i61]Weihao Zeng, Lulu Zhao, Keqing He, Ruotong Geng, Jingang Wang, Wei Wu, Weiran Xu:
Seen to Unseen: Exploring Compositional Generalization of Multi-Attribute Controllable Dialogue Generation. CoRR abs/2306.10317 (2023) - 2022
- [c93]Yutao Mou, Keqing He, Yanan Wu, Zhiyuan Zeng, Hong Xu, Huixing Jiang, Wei Wu, Weiran Xu:
Disentangled Knowledge Transfer for OOD Intent Discovery with Unified Contrastive Learning. ACL (2) 2022: 46-53 - [c92]Rui Zheng, Bao Rong, Yuhao Zhou, Di Liang, Sirui Wang, Wei Wu, Tao Gui, Qi Zhang, Xuanjing Huang:
Robust Lottery Tickets for Pre-trained Language Models. ACL (1) 2022: 2211-2224 - [c91]Shengding Hu, Ning Ding, Huadong Wang, Zhiyuan Liu, Jingang Wang, Juanzi Li, Wei Wu, Maosong Sun:
Knowledgeable Prompt-tuning: Incorporating Knowledge into Prompt Verbalizer for Text Classification. ACL (1) 2022: 2225-2240 - [c90]Kai Zhang, Kun Zhang, Mengdi Zhang, Hongke Zhao, Qi Liu, Wei Wu, Enhong Chen:
Incorporating Dynamic Semantics into Pre-Trained Language Model for Aspect-based Sentiment Analysis. ACL (Findings) 2022: 3599-3610 - [c89]Zichu Fei, Qi Zhang, Tao Gui, Di Liang, Sirui Wang, Wei Wu, Xuanjing Huang:
CQG: A Simple and Effective Controlled Generation Framework for Multi-hop Question Generation. ACL (1) 2022: 6896-6906 - [c88]Danyang Liu, Yuji Yang, Mengdi Zhang, Wei Wu, Xing Xie, Guangzhong Sun:
Knowledge Enhanced Multi-Interest Network for the Generation of Recommendation Candidates. CIKM 2022: 3322-3331 - [c87]Keqing He, Jingang Wang, Chaobo Sun, Wei Wu:
Unified Knowledge Prompt Pre-training for Customer Service Dialogues. CIKM 2022: 4009-4013 - [c86]Yutao Mou, Keqing He, Yanan Wu, Pei Wang, Jingang Wang, Wei Wu, Yi Huang, Junlan Feng, Weiran Xu:
Generalized Intent Discovery: Learning from Open World Dialogue System. COLING 2022: 707-720 - [c85]Sirui Wang, Di Liang, Jian Song, Yuntao Li, Wei Wu:
DABERT: Dual Attention Enhanced BERT for Semantic Matching. COLING 2022: 1645-1654 - [c84]Rui Zheng, Rong Bao, Qin Liu, Tao Gui, Qi Zhang, Xuanjing Huang, Rui Xie, Wei Wu:
PlugAT: A Plug and Play Module to Defend against Textual Adversarial Attack. COLING 2022: 2873-2882 - [c83]Borun Chen, Hongyin Tang, Jiahao Bu, Kai Zhang, Jingang Wang, Qifan Wang, Hai-Tao Zheng, Wei Wu, Liqian Yu:
CLOWER: A Pre-trained Language Model with Contrastive Learning over Word and Character Representations. COLING 2022: 3098-3108 - [c82]Chen Zhang, Lei Ren, Fang Ma, Jingang Wang, Wei Wu, Dawei Song:
Structural Bias for Aspect Sentiment Triplet Extraction. COLING 2022: 6736-6745 - [c81]Xueyao Jiang, Ailisi Li, Jiaqing Liang, Bang Liu, Rui Xie, Wei Wu, Zhixu Li, Yanghua Xiao:
Visualizable or Non-visualizable? Exploring the Visualizability of Concepts in Multi-modal Knowledge Graph. DASFAA (1) 2022: 180-187 - [c80]Jian Song, Di Liang, Rumei Li, Yuntao Li, Sirui Wang, Minlong Peng, Wei Wu, Yongxin Yu:
Improving Semantic Matching through Dependency-Enhanced Pre-trained Model with Adaptive Fusion. EMNLP (Findings) 2022: 45-57 - [c79]Jiduan Liu, Jiahao Liu, Yang Yang, Jingang Wang, Wei Wu, Dongyan Zhao, Rui Yan:
GNN-encoder: Learning a Dual-encoder Architecture via Graph Neural Networks for Dense Passage Retrieval. EMNLP (Findings) 2022: 564-575 - [c78]Yutao Mou, Keqing He, Pei Wang, Yanan Wu, Jingang Wang, Wei Wu, Weiran Xu:
Watch the Neighbors: A Unified K-Nearest Neighbor Contrastive Learning Framework for OOD Intent Discovery. EMNLP 2022: 1517-1529 - [c77]Chen Zhang, Lei Ren, Jingang Wang, Wei Wu, Dawei Song:
Making Pretrained Language Models Good Long-tailed Learners. EMNLP 2022: 3298-3312 - [c76]Yupeng Zhang, Hongzhi Zhang, Sirui Wang, Wei Wu, Zhoujun Li:
PATS: Sensitivity-aware Noisy Learning for Pretrained Language Models. EMNLP 2022: 3680-3687 - [c75]Yutao Mou, Pei Wang, Keqing He, Yanan Wu, Jingang Wang, Wei Wu, Weiran Xu:
UniNL: Aligning Representation Learning with Scoring Function for OOD Detection via Unified Neighborhood Learning. EMNLP 2022: 7317-7325 - [c74]Fang Ma, Chen Zhang, Lei Ren, Jingang Wang, Qifan Wang, Wei Wu, Xiaojun Quan, Dawei Song:
XPrompt: Exploring the Extreme of Prompt Tuning. EMNLP 2022: 11033-11047 - [c73]Sijie Cheng, Zhouhong Gu, Bang Liu, Rui Xie, Wei Wu, Yanghua Xiao:
Learning What You Need from What You Did: Product Taxonomy Expansion with User Behaviors Supervision. ICDE 2022: 3280-3293 - [c72]Yuling Wang, Hao Xu, Yanhua Yu, Mengdi Zhang, Zhenhao Li, Yuji Yang, Wei Wu:
Ensemble Multi-Relational Graph Neural Networks. IJCAI 2022: 2298-2304 - [c71]Ruotian Ma, Yiding Tan, Xin Zhou, Xuanting Chen, Di Liang, Sirui Wang, Wei Wu, Tao Gui:
Searching for Optimal Subword Tokenization in Cross-domain NER. IJCAI 2022: 4289-4295 - [c70]Junxin Li, Wei Wang, Hai-Tao Zheng, Jun Gao, Rui Xie, Wei Wu:
AMR-to-Text Generation with Graph Structure Reconstruction and Coverage Mechanism. IJCNN 2022: 1-8 - [c69]Daoguang Zan, Sirui Wang, Hongzhi Zhang, Kun Zhou, Wei Wu, Wayne Xin Zhao, Bingchao Wu, Bei Guan, Yongji Wang:
Complex Question Answering over Incomplete Knowledge Graph as N-ary Link Prediction. IJCNN 2022: 1-8 - [c68]Yuntao Li, Hanchu Zhang, Yutian Li, Sirui Wang, Wei Wu, Yan Zhang:
Pay More Attention to History: A Context Modeling Strategy for Conversational Text-to-SQL. INTERSPEECH 2022: 2718-2722 - [c67]Xiao Liu, Shiyu Zhao, Kai Su, Yukuo Cen, Jiezhong Qiu, Mengdi Zhang, Wei Wu, Yuxiao Dong, Jie Tang:
Mask and Reason: Pre-Training Knowledge Graph Transformers for Complex Logical Queries. KDD 2022: 1120-1130 - [c66]Xueliang Zhao, Tingchen Fu, Chongyang Tao, Wei Wu, Dongyan Zhao, Rui Yan:
Learning to Express in Knowledge-Grounded Conversation. NAACL-HLT 2022: 2258-2273 - [c65]Ze Yang, Christian Wang, Zhoujin Tian, Wei Wu, Zhoujun Li:
TANet: Thread-Aware Pretraining for Abstractive Conversational Summarization. NAACL-HLT (Findings) 2022: 2594-2607 - [c64]Yanan Wu, Keqing He, Yuanmeng Yan, QiXiang Gao, Zhiyuan Zeng, Fujia Zheng, Lulu Zhao, Huixing Jiang, Wei Wu, Weiran Xu:
Revisit Overconfidence for OOD Detection: Reassigned Contrastive Learning with Adaptive Class-dependent Threshold. NAACL-HLT 2022: 4165-4179 - [c63]Lulu Zhao, Fujia Zheng, Weihao Zeng, Keqing He, Weiran Xu, Huixing Jiang, Wei Wu, Yanan Wu:
Domain-Oriented Prefix-Tuning: Towards Efficient and Generalizable Fine-tuning for Zero-Shot Dialogue Summarization. NAACL-HLT 2022: 4848-4862 - [c62]Biru Zhu, Yujia Qin, Ganqu Cui, Yangyi Chen, Weilin Zhao, Chong Fu, Yangdong Deng, Zhiyuan Liu, Jingang Wang, Wei Wu, Maosong Sun, Ming Gu:
Moderate-fitting as a Natural Backdoor Defender for Pre-trained Language Models. NeurIPS 2022 - [c61]Daoguang Zan, Sirui Wang, Hongzhi Zhang, Yuanmeng Yan, Wei Wu, Bei Guan, Yongji Wang:
S2QL: Retrieval Augmented Zero-Shot Question Answering over Knowledge Graph. PAKDD (3) 2022: 223-236 - [c60]Lulu Zhao, Fujia Zheng, Weihao Zeng, Keqing He, Ruotong Geng, Huixing Jiang, Wei Wu, Weiran Xu:
ADPL: Adversarial Prompt-based Domain Adaptation for Dialogue Summarization with Knowledge Disentanglement. SIGIR 2022: 245-255 - [c59]Mengxue Zhao, Yang Yang, Miao Li, Jingang Wang, Wei Wu, Pengjie Ren, Maarten de Rijke, Zhaochun Ren:
Personalized Abstractive Opinion Tagging. SIGIR 2022: 1066-1076 - [c58]Kai Zhang, Qi Liu, Zhenya Huang, Mingyue Cheng, Kun Zhang, Mengdi Zhang, Wei Wu, Enhong Chen:
Graph Adaptive Semantic Transfer for Cross-domain Sentiment Classification. SIGIR 2022: 1566-1576 - [i60]Liwen Wang, Rumei Li, Yang Yan, Yuanmeng Yan, Sirui Wang, Wei Wu, Weiran Xu:
InstructionNER: A Multi-Task Instruction-Based Generative Framework for Few-shot NER. CoRR abs/2203.03903 (2022) - [i59]Sijie Cheng, Zhouhong Gu, Bang Liu, Rui Xie, Wei Wu, Yanghua Xiao:
Learning What You Need from What You Did: Product Taxonomy Expansion with User Behaviors Supervision. CoRR abs/2203.14921 (2022) - [i58]Kai Zhang, Kun Zhang, Mengdi Zhang, Hongke Zhao, Qi Liu, Wei Wu, Enhong Chen:
Incorporating Dynamic Semantics into Pre-Trained Language Model for Aspect-based Sentiment Analysis. CoRR abs/2203.16369 (2022) - [i57]Lulu Zhao, Fujia Zheng, Weihao Zeng, Keqing He, Weiran Xu, Huixing Jiang, Wei Wu, Yanan Wu:
Domain-Oriented Prefix-Tuning: Towards Efficient and Generalizable Fine-tuning for Zero-Shot Dialogue Summarization. CoRR abs/2204.04362 (2022) - [i56]Ze Yang, Liran Wang, Zhoujin Tian, Wei Wu, Zhoujun Li:
TANet: Thread-Aware Pretraining for Abstractive Conversational Summarization. CoRR abs/2204.04504 (2022) - [i55]Xueliang Zhao, Tingchen Fu, Chongyang Tao, Wei Wu, Dongyan Zhao, Rui Yan:
Learning to Express in Knowledge-Grounded Conversation. CoRR abs/2204.05805 (2022) - [i54]Jiduan Liu, Jiahao Liu, Yang Yang, Jingang Wang, Wei Wu, Dongyan Zhao, Rui Yan:
GNN-encoder: Learning a Dual-encoder Architecture via Graph Neural Networks for Passage Retrieval. CoRR abs/2204.08241 (2022) - [i53]Chen Zhang, Lei Ren, Jingang Wang, Wei Wu, Dawei Song:
Making Pre-trained Language Models Good Long-tailed Learners. CoRR abs/2205.05461 (2022) - [i52]Kai Zhang, Qi Liu, Zhenya Huang, Mingyue Cheng, Kun Zhang, Mengdi Zhang, Wei Wu, Enhong Chen:
Graph Adaptive Semantic Transfer for Cross-domain Sentiment Classification. CoRR abs/2205.08772 (2022) - [i51]Yuling Wang, Hao Xu, Yanhua Yu, Mengdi Zhang, Zhenhao Li, Yuji Yang, Wei Wu:
Ensemble Multi-Relational Graph Neural Networks. CoRR abs/2205.12076 (2022) - [i50]Chen Zhang, Yang Yang, Qifan Wang, Jiahao Liu, Jingang Wang, Wei Wu, Dawei Song:
AutoDisc: Automatic Distillation Schedule for Large Language Model Compression. CoRR abs/2205.14570 (2022) - [i49]Ruotian Ma, Yiding Tan, Xin Zhou, Xuanting Chen, Di Liang, Sirui Wang, Wei Wu, Tao Gui, Qi Zhang:
Searching for Optimal Subword Tokenization in Cross-domain NER. CoRR abs/2206.03352 (2022) - [i48]Huixuan Chi, Hao Xu, Hao Fu, Mengya Liu, Mengdi Zhang, Yuji Yang, Qinfen Hao, Wei Wu:
Long Short-Term Preference Modeling for Continuous-Time Sequential Recommendation. CoRR abs/2208.00593 (2022) - [i47]Xiao Liu, Shiyu Zhao, Kai Su, Yukuo Cen, Jiezhong Qiu, Mengdi Zhang, Wei Wu, Yuxiao Dong, Jie Tang:
Mask and Reason: Pre-Training Knowledge Graph Transformers for Complex Logical Queries. CoRR abs/2208.07638 (2022) - [i46]Borun Chen, Hongyin Tang, Jingang Wang, Qifan Wang, Hai-Tao Zheng, Wei Wu, Liqian Yu:
CLOWER: A Pre-trained Language Model with Contrastive Learning over Word and Character Representations. CoRR abs/2208.10844 (2022) - [i45]Keqing He, Jingang Wang, Chaobo Sun, Wei Wu:
Unified Knowledge Prompt Pre-training for Customer Service Dialogues. CoRR abs/2208.14652 (2022) - [i44]Sirui Wang, Kaiwen Wei, Hongzhi Zhang, Yuntao Li, Wei Wu:
Let Me Check the Examples: Enhancing Demonstration Learning via Explicit Imitation. CoRR abs/2209.00455 (2022) - [i43]Chen Zhang, Lei Ren, Fang Ma, Jingang Wang, Wei Wu, Dawei Song:
Structural Bias for Aspect Sentiment Triplet Extraction. CoRR abs/2209.00820 (2022) - [i42]Yutao Mou, Keqing He, Yanan Wu, Pei Wang, Jingang Wang, Wei Wu, Yi Huang, Junlan Feng, Weiran Xu:
Generalized Intent Discovery: Learning from Open World Dialogue System. CoRR abs/2209.06030 (2022) - [i41]Sirui Wang, Di Liang, Jian Song, Yuntao Li, Wei Wu:
DABERT: Dual Attention Enhanced BERT for Semantic Matching. CoRR abs/2210.03454 (2022) - [i40]Fang Ma, Chen Zhang, Lei Ren, Jingang Wang, Qifan Wang, Wei Wu, Xiaojun Quan, Dawei Song:
XPrompt: Exploring the Extreme of Prompt Tuning. CoRR abs/2210.04457 (2022) - [i39]Jian Song, Di Liang, Rumei Li, Yuntao Li, Sirui Wang, Minlong Peng, Wei Wu, Yongxin Yu:
Improving Semantic Matching through Dependency-Enhanced Pre-trained Model with Adaptive Fusion. CoRR abs/2210.08471 (2022) - [i38]Weihao Zeng, Keqing He, Zechen Wang, Dayuan Fu, Guanting Dong, Ruotong Geng, Pei Wang, Jingang Wang, Chaobo Sun, Wei Wu, Weiran Xu:
Semi-Supervised Knowledge-Grounded Pre-training for Task-Oriented Dialog Systems. CoRR abs/2210.08873 (2022) - [i37]Yutao Mou, Keqing He, Pei Wang, Yanan Wu, Jingang Wang, Wei Wu, Weiran Xu:
Watch the Neighbors: A Unified K-Nearest Neighbor Contrastive Learning Framework for OOD Intent Discovery. CoRR abs/2210.08909 (2022) - [i36]Yutao Mou, Pei Wang, Keqing He, Yanan Wu, Jingang Wang, Wei Wu, Weiran Xu:
UniNL: Aligning Representation Learning with Scoring Function for OOD Detection via Unified Neighborhood Learning. CoRR abs/2210.10722 (2022) - [i35]Yupeng Zhang, Hongzhi Zhang, Sirui Wang, Wei Wu, Zhoujun Li:
PATS: Sensitivity-aware Noisy Learning for Pretrained Language Models. CoRR abs/2210.12403 (2022) - [i34]Rui Zheng, Rong Bao, Yuhao Zhou, Di Liang, Sirui Wang, Wei Wu, Tao Gui, Qi Zhang, Xuanjing Huang:
Robust Lottery Tickets for Pre-trained Language Models. CoRR abs/2211.03013 (2022) - 2021
- [j9]Hao Wang, Bin Guo, Wei Wu, Sicong Liu, Zhiwen Yu:
Towards information-rich, logical dialogue systems with knowledge-enhanced neural models. Neurocomputing 465: 248-264 (2021) - [j8]Bin Guo, Hao Wang, Yasan Ding, Wei Wu, Shaoyang Hao, Yueqi Sun, Zhiwen Yu:
Conditional Text Generation for Harmonious Human-Machine Interaction. ACM Trans. Intell. Syst. Technol. 12(2): 14:1-14:50 (2021) - [j7]Ruijian Xu, Chongyang Tao, Jiazhan Feng, Wei Wu, Rui Yan, Dongyan Zhao:
Response Ranking with Multi-types of Deep Interactive Representations in Retrieval-based Dialogues. ACM Trans. Inf. Syst. 39(4): 44:1-44:28 (2021) - [c57]Ze Yang, Wei Wu, Huang Hu, Can Xu, Wei Wang, Zhoujun Li:
Open Domain Dialogue Generation with Latent Images. AAAI 2021: 14239-14247 - [c56]Xiangyu Xi, Wei Ye, Shikun Zhang, Quanxiu Wang, Huixing Jiang, Wei Wu:
Capturing Event Argument Interaction via A Bi-Directional Entity-Level Recurrent Decoder. ACL/IJCNLP (1) 2021: 210-219 - [c55]Hengtong Lu, Zhuoxin Han, Caixia Yuan, Xiaojie Wang, Shuyu Lei, Huixing Jiang, Wei Wu:
Slot Transferability for Cross-domain Slot Filling. ACL/IJCNLP (Findings) 2021: 4970-4979 - [c54]Hongyin Tang, Xingwu Sun, Beihong Jin, Jingang Wang, Fuzheng Zhang, Wei Wu:
Improving Document Representations by Generating Pseudo Query Embeddings for Dense Retrieval. ACL/IJCNLP (1) 2021: 5054-5064 - [c53]Yuanmeng Yan, Rumei Li, Sirui Wang, Fuzheng Zhang, Wei Wu, Weiran Xu:
ConSERT: A Contrastive Framework for Self-Supervised Sentence Representation Transfer. ACL/IJCNLP (1) 2021: 5065-5075 - [c52]Junkang Wu, Wentao Shi, Xuezhi Cao, Jiawei Chen, Wenqiang Lei, Fuzheng Zhang, Wei Wu, Xiangnan He:
DisenKGAT: Knowledge Graph Embedding with Disentangled Graph Attention Network. CIKM 2021: 2140-2149 - [c51]Yuanmeng Yan, Rumei Li, Sirui Wang, Hongzhi Zhang, Daoguang Zan, Fuzheng Zhang, Wei Wu, Weiran Xu:
Large-Scale Relation Learning for Question Answering over Knowledge Bases with Pre-trained Language Models. EMNLP (1) 2021: 3653-3660 - [c50]Kun Zhou, Wayne Xin Zhao, Sirui Wang, Fuzheng Zhang, Wei Wu, Ji-Rong Wen:
Virtual Data Augmentation: A Robust and General Framework for Fine-tuning Pre-trained Models. EMNLP (1) 2021: 3875-3887 - [c49]Chenxu Lv, Hengtong Lu, Shuyu Lei, Huixing Jiang, Wei Wu, Caixia Yuan, Xiaojie Wang:
Task-Oriented Clustering for Dialogues. EMNLP (Findings) 2021: 4338-4347 - [c48]Xiangyu Xi, Wei Ye, Tong Zhang, Quanxiu Wang, Shikun Zhang, Huixing Jiang, Wei Wu:
Improving Event Detection by Exploiting Label Hierarchy. ICASSP 2021: 7688-7692 - [c47]Ruozi Huang, Huang Hu, Wei Wu, Kei Sawada, Mi Zhang, Daxin Jiang:
Dance Revolution: Long-Term Dance Generation with Music via Curriculum Learning. ICLR 2021 - [c46]Chongyang Tao, Jiazhan Feng, Rui Yan, Wei Wu, Daxin Jiang:
A Survey on Response Selection for Retrieval-based Dialogues. IJCAI 2021: 4619-4626 - [c45]Chiqun Zhang, Dragomir Yankov, Simon Shapiro, Wei Wu:
An End-to-end Beacon Placement Optimization System for Indoor Positioning. IPIN 2021: 1-8 - [c44]Jiahao Bu, Lei Ren, Shuang Zheng, Yang Yang, Jingang Wang, Fuzheng Zhang, Wei Wu:
ASAP: A Chinese Review Dataset Towards Aspect Category Sentiment Analysis and Rating Prediction. NAACL-HLT 2021: 2069-2079 - [i33]Jiahao Bu, Lei Ren, Shuang Zheng, Yang Yang, Jingang Wang, Fuzheng Zhang, Wei Wu:
ASAP: A Chinese Review Dataset Towards Aspect Category Sentiment Analysis and Rating Prediction. CoRR abs/2103.06605 (2021) - [i32]Hongyin Tang, Xingwu Sun, Beihong Jin, Jingang Wang, Fuzheng Zhang, Wei Wu:
Improving Document Representations by Generating Pseudo Query Embeddings for Dense Retrieval. CoRR abs/2105.03599 (2021) - [i31]Yuanmeng Yan, Rumei Li, Sirui Wang, Fuzheng Zhang, Wei Wu, Weiran Xu:
ConSERT: A Contrastive Framework for Self-Supervised Sentence Representation Transfer. CoRR abs/2105.11741 (2021) - [i30]Xiangyu Xi, Wei Ye, Shikun Zhang, Quanxiu Wang, Huixing Jiang, Wei Wu:
Capturing Event Argument Interaction via A Bi-Directional Entity-Level Recurrent Decoder. CoRR abs/2107.00189 (2021) - [i29]Junkang Wu, Wentao Shi, Xuezhi Cao, Jiawei Chen, Wenqiang Lei, Fuzheng Zhang, Wei Wu, Xiangnan He:
DisenKGAT: Knowledge Graph Embedding with Disentangled Graph Attention Network. CoRR abs/2108.09628 (2021) - [i28]Kun Zhou, Wayne Xin Zhao, Sirui Wang, Fuzheng Zhang, Wei Wu, Ji-Rong Wen:
Virtual Data Augmentation: A Robust and General Framework for Fine-tuning Pre-trained Models. CoRR abs/2109.05793 (2021) - [i27]Zihao Zhao, Jiawei Chen, Sheng Zhou, Xiangnan He, Xuezhi Cao, Fuzheng Zhang, Wei Wu:
Popularity Bias Is Not Always Evil: Disentangling Benign and Harmful Bias for Recommendation. CoRR abs/2109.07946 (2021) - [i26]Lulu Zhao, Fujia Zheng, Keqing He, Weihao Zeng, Yuejie Lei, Huixing Jiang, Wei Wu, Weiran Xu, Jun Guo, Fanyu Meng:
TODSum: Task-Oriented Dialogue Summarization with State Tracking. CoRR abs/2110.12680 (2021) - [i25]Dan Li, Yang Yang, Hongyin Tang, Jingang Wang, Tong Xu, Wei Wu, Enhong Chen:
VIRT: Improving Representation-based Models for Text Matching through Virtual Interaction. CoRR abs/2112.04195 (2021) - [i24]Yuntao Li, Hanchu Zhang, Yutian Li, Sirui Wang, Wei Wu, Yan Zhang:
Pay More Attention to History: A Context Modeling Strategy for Conversational Text-to-SQL. CoRR abs/2112.08735 (2021) - 2020
- [c43]Ze Yang, Wei Wu, Can Xu, Xinnian Liang, Jiaqi Bai, Liran Wang, Wei Wang, Zhoujun Li:
StyleDGPT: Stylized Response Generation with Pre-trained Language Models. EMNLP (Findings) 2020: 1548-1559 - [c42]Xueliang Zhao, Wei Wu, Can Xu, Chongyang Tao, Dongyan Zhao, Rui Yan:
Knowledge-Grounded Dialogue Generation with Pre-trained Language Models. EMNLP (1) 2020: 3377-3390 - [c41]Xueliang Zhao, Wei Wu, Chongyang Tao, Can Xu, Dongyan Zhao, Rui Yan:
Low-Resource Knowledge-Grounded Dialogue Generation. ICLR 2020 - [c40]Chiqun Zhang, Dragomir Yankov, Chun-Ting Wu, Simon Shapiro, Jason Hong, Wei Wu:
What is that Building?: An End-to-end System for Building Recognition from Streetside Images. KDD 2020: 2425-2433 - [c39]Linxiao Li, Can Xu, Wei Wu, Yufan Zhao, Xueliang Zhao, Chongyang Tao:
Zero-Resource Knowledge-Grounded Dialogue Generation. NeurIPS 2020 - [c38]Chongyang Tao, Wei Wu, Yansong Feng, Dongyan Zhao, Rui Yan:
Improving Matching Models with Hierarchical Contextualized Representations for Multi-turn Response Selection. SIGIR 2020: 1865-1868 - [i23]Xueliang Zhao, Wei Wu, Chongyang Tao, Can Xu, Dongyan Zhao, Rui Yan:
Low-Resource Knowledge-Grounded Dialogue Generation. CoRR abs/2002.10348 (2020) - [i22]Hao Wang, Bin Guo, Wei Wu, Zhiwen Yu:
Towards information-rich, logical text generation with knowledge-enhanced neural models. CoRR abs/2003.00814 (2020) - [i21]Ze Yang, Wei Wu, Huang Hu, Can Xu, Zhoujun Li:
Open Domain Dialogue Generation with Latent Images. CoRR abs/2004.01981 (2020) - [i20]Linxiao Li, Can Xu, Wei Wu, Yufan Zhao, Xueliang Zhao, Chongyang Tao:
Zero-Resource Knowledge-Grounded Dialogue Generation. CoRR abs/2008.12918 (2020) - [i19]Ze Yang, Wei Wu, Can Xu, Xinnian Liang, Jiaqi Bai, Liran Wang, Wei Wang, Zhoujun Li:
StyleDGPT: Stylized Response Generation with Pre-trained Language Models. CoRR abs/2010.02569 (2020) - [i18]Xueliang Zhao, Wei Wu, Can Xu, Chongyang Tao, Dongyan Zhao, Rui Yan:
Knowledge-Grounded Dialogue Generation with Pre-trained Language Models. CoRR abs/2010.08824 (2020)
2010 – 2019
- 2019
- [j6]Yu Wu, Wei Wu, Chen Xing, Can Xu, Zhoujun Li, Ming Zhou:
A Sequential Matching Framework for Multi-Turn Response Selection in Retrieval-Based Chatbots. Comput. Linguistics 45(1): 163-197 (2019) - [c37]Chongyang Tao, Wei Wu, Can Xu, Wenpeng Hu, Dongyan Zhao, Rui Yan:
One Time of Interaction May Not Be Enough: Go Deep with an Interaction-over-Interaction Network for Response Selection in Dialogues. ACL (1) 2019: 1-11 - [c36]Jiazhan Feng, Chongyang Tao, Wei Wu, Yansong Feng, Dongyan Zhao, Rui Yan:
Learning a Matching Model with Co-teaching for Multi-turn Response Selection in Retrieval-based Dialogue Systems. ACL (1) 2019: 3805-3815 - [c35]Can Xu, Wei Wu, Chongyang Tao, Huang Hu, Matt Schuerman, Ying Wang:
Neural Response Generation with Meta-words. ACL (1) 2019: 5416-5426 - [c34]Jia Li, Chongyang Tao, Wei Wu, Yansong Feng, Dongyan Zhao, Rui Yan:
Sampling Matters! An Empirical Study of Negative Sampling Strategies for Learning of Matching Models in Retrieval-based Dialogue Systems. EMNLP/IJCNLP (1) 2019: 1291-1296 - [c33]Ze Yang, Wei Wu, Jian Yang, Can Xu, Zhoujun Li:
Low-Resource Response Generation with Template Prior. EMNLP/IJCNLP (1) 2019: 1886-1897 - [c32]Ze Yang, Can Xu, Wei Wu, Zhoujun Li:
Read, Attend and Comment: A Deep Architecture for Automatic News Comment Generation. EMNLP/IJCNLP (1) 2019: 5076-5088 - [c31]Helen Craig, Dragomir Yankov, Renzhong Wang, Pavel Berkhin, Wei Wu:
Scaling Address Parsing Sequence Models through Active Learning. SIGSPATIAL/GIS 2019: 424-427 - [c30]Michael R. Evans, Renzhong Wang, Dragomir Yankov, Senthil Palanisamy, Siddhartha Arora, Wei Wu:
Routines - A System for Inference, Analysis and Prediction of Users Daily Location Visits: Industrial Paper. SIGSPATIAL/GIS 2019: 440-443 - [c29]Xueliang Zhao, Chongyang Tao, Wei Wu, Can Xu, Dongyan Zhao, Rui Yan:
A Document-grounded Matching Network for Response Selection in Retrieval-based Chatbots. IJCAI 2019: 5443-5449 - [c28]Jia Li, Chongyang Tao, Nanyun Peng, Wei Wu, Dongyan Zhao, Rui Yan:
Evaluating and Enhancing the Robustness of Retrieval-Based Dialogue Systems with Adversarial Examples. NLPCC (1) 2019: 142-154 - [c27]Renzhong Wang, Dragomir Yankov, Michael R. Evans, Senthil Palanisamy, Siddhartha Arora, Wei Wu:
Predicting user routines with masked dilated convolutions. RecSys 2019: 481-485 - [c26]Wei Wu, Rui Yan:
Deep Chit-Chat: Deep Learning for Chatbots. SIGIR 2019: 1413-1414 - [c25]Chongyang Tao, Wei Wu, Can Xu, Wenpeng Hu, Dongyan Zhao, Rui Yan:
Multi-Representation Fusion Network for Multi-Turn Response Selection in Retrieval-Based Chatbots. WSDM 2019: 267-275 - [c24]Wei Wu, Rui Yan:
Deep Chit-Chat: Deep Learning for Chatbots. WWW (Companion Volume) 2019: 1329 - [i17]Xueliang Zhao, Chongyang Tao, Wei Wu, Can Xu, Dongyan Zhao, Rui Yan:
A Document-grounded Matching Network for Response Selection in Retrieval-based Chatbots. CoRR abs/1906.04362 (2019) - [i16]Jiazhan Feng, Chongyang Tao, Wei Wu, Yansong Feng, Dongyan Zhao, Rui Yan:
Learning a Matching Model with Co-teaching for Multi-turn Response Selection in Retrieval-based Dialogue Systems. CoRR abs/1906.04413 (2019) - [i15]Can Xu, Wei Wu, Chongyang Tao, Huang Hu, Matt Schuerman, Ying Wang:
Neural Response Generation with Meta-Words. CoRR abs/1906.06050 (2019) - [i14]Ze Yang, Wei Wu, Jian Yang, Can Xu, Zhoujun Li:
Low-Resource Response Generation with Template Prior. CoRR abs/1909.11968 (2019) - [i13]Ze Yang, Can Xu, Wei Wu, Zhoujun Li:
Read, Attend and Comment: A Deep Architecture for Automatic News Comment Generation. CoRR abs/1909.11974 (2019) - 2018
- [j5]Yu Wu, Zhoujun Li, Wei Wu, Ming Zhou:
Response selection with topic clues for retrieval-based chatbots. Neurocomputing 316: 251-261 (2018) - [c23]Yu Wu, Wei Wu, Can Xu, Zhoujun Li:
Knowledge Enhanced Hybrid Neural Network for Text Matching. AAAI 2018: 5586-5593 - [c22]Yu Wu, Wei Wu, Dejian Yang, Can Xu, Zhoujun Li:
Neural Response Generation With Dynamic Vocabularies. AAAI 2018: 5594-5601 - [c21]Chen Xing, Yu Wu, Wei Wu, Yalou Huang, Ming Zhou:
Hierarchical Recurrent Attention Network for Response Generation. AAAI 2018: 5610-5617 - [c20]Yu Wu, Wei Wu, Zhoujun Li, Ming Zhou:
Learning Matching Models with Weak Supervision for Response Selection in Retrieval-based Chatbots. ACL (2) 2018: 420-425 - [c19]Huang Hu, Xianchao Wu, Bingfeng Luo, Chongyang Tao, Can Xu, Wei Wu, Zhan Chen:
Playing 20 Question Game with Policy-Based Reinforcement Learning. EMNLP 2018: 3233-3242 - [c18]Chongyang Tao, Shen Gao, Mingyue Shang, Wei Wu, Dongyan Zhao, Rui Yan:
Get The Point of My Utterance! Learning Towards Effective Responses with Multi-Head Attention Mechanism. IJCAI 2018: 4418-4424 - [i12]Yu Wu, Wei Wu, Zhoujun Li, Ming Zhou:
Learning Matching Models with Weak Supervision for Response Selection in Retrieval-based Chatbots. CoRR abs/1805.02333 (2018) - [i11]Can Xu, Wei Wu, Yu Wu:
Towards Explainable and Controllable Open Domain Dialogue Generation with Dialogue Acts. CoRR abs/1807.07255 (2018) - [i10]Chongyang Tao, Wei Wu, Can Xu, Yansong Feng, Dongyan Zhao, Rui Yan:
Improving Matching Models with Contextualized Word Representations for Multi-turn Response Selection in Retrieval-based Chatbots. CoRR abs/1808.07244 (2018) - [i9]Huang Hu, Xianchao Wu, Bingfeng Luo, Chongyang Tao, Can Xu, Wei Wu, Zhan Chen:
Playing 20 Question Game with Policy-Based Reinforcement Learning. CoRR abs/1808.07645 (2018) - 2017
- [j4]Fang Wang, Wei Wu, Zhoujun Li, Ming Zhou:
Named entity disambiguation for questions in community question answering. Knowl. Based Syst. 126: 68-77 (2017) - [c17]Chen Xing, Wei Wu, Yu Wu, Jie Liu, Yalou Huang, Ming Zhou, Wei-Ying Ma:
Topic Aware Neural Response Generation. AAAI 2017: 3351-3357 - [c16]Yu Wu, Wei Wu, Chen Xing, Ming Zhou, Zhoujun Li:
Sequential Matching Network: A New Architecture for Multi-turn Response Selection in Retrieval-Based Chatbots. ACL (1) 2017: 496-505 - [c15]Haocheng Wu, Zuohui Tian, Wei Wu, Enhong Chen:
An Unsupervised Approach for Low-Quality Answer Detection in Community Question-Answering. DASFAA (2) 2017: 85-101 - [c14]Michael R. Evans, Ahmad Mahmoody, Dragomir Yankov, Florin Teodorescu, Wei Wu, Pavel Berkhin:
LiveMaps: Learning Geo-Intent from Images of Maps on a Large Scale. SIGSPATIAL/GIS 2017: 31:1-31:9 - [c13]Dejian Yang, Yu Wu, Zhoujun Li, Wei Wu, Can Xu:
Beihang at the NTCIR-13 STC-2 Task. NTCIR 2017 - [c12]Wenzheng Feng, Yu Wu, Wei Wu, Zhoujun Li, Ming Zhou:
Beihang-MSRA at SemEval-2017 Task 3: A Ranking System with Neural Matching Features for Community Question Answering. SemEval@ACL 2017: 280-286 - [c11]Michael R. Evans, Dragomir Yankov, Pavel Berkhin, Pavel Yudin, Florin Teodorescu, Wei Wu:
LiveMaps: Converting Map Images into Interactive Maps. SIGIR 2017: 897-900 - [i8]Chen Xing, Wei Wu, Yu Wu, Ming Zhou, Yalou Huang, Wei-Ying Ma:
Hierarchical Recurrent Attention Network for Response Generation. CoRR abs/1701.07149 (2017) - [i7]Yu Wu, Wei Wu, Chen Xing, Can Xu, Zhoujun Li, Ming Zhou:
A Sequential Matching Framework for Multi-turn Response Selection in Retrieval-based Chatbots. CoRR abs/1710.11344 (2017) - [i6]Yu Wu, Wei Wu, Dejian Yang, Can Xu, Zhoujun Li, Ming Zhou:
Neural Response Generation with Dynamic Vocabularies. CoRR abs/1711.11191 (2017) - 2016
- [c10]Yu Wu, Wei Wu, Zhoujun Li, Ming Zhou:
Improving Recommendation of Tail Tags for Questions in Community Question Answering. AAAI 2016: 3066-3072 - [c9]Chaozhuo Li, Yu Wu, Wei Wu, Chen Xing, Zhoujun Li, Ming Zhou:
Detecting Context Dependent Messages in a Conversational Environment. COLING 2016: 1990-1999 - [c8]Kai Zhang, Wei Wu, Fang Wang, Ming Zhou, Zhoujun Li:
Learning Distributed Representations of Data in Community Question Answering for Question Retrieval. WSDM 2016: 533-542 - [i5]Yu Wu, Wei Wu, Zhoujun Li, Ming Zhou:
Topic Augmented Neural Network for Short Text Conversation. CoRR abs/1605.00090 (2016) - [i4]Chen Xing, Wei Wu, Yu Wu, Jie Liu, Yalou Huang, Ming Zhou, Wei-Ying Ma:
Topic Augmented Neural Response Generation with a Joint Attention Mechanism. CoRR abs/1606.08340 (2016) - [i3]Chaozhuo Li, Yu Wu, Wei Wu, Chen Xing, Zhoujun Li, Ming Zhou:
Detecting Context Dependent Messages in a Conversational Environment. CoRR abs/1611.00483 (2016) - [i2]Yu Wu, Wei Wu, Zhoujun Li, Ming Zhou:
Knowledge Enhanced Hybrid Neural Network for Text Matching. CoRR abs/1611.04684 (2016) - [i1]Yu Wu, Wei Wu, Ming Zhou, Zhoujun Li:
Sequential Match Network: A New Architecture for Multi-turn Response Selection in Retrieval-based Chatbots. CoRR abs/1612.01627 (2016) - 2015
- [c7]Yu Wu, Wei Wu, Zhoujun Li, Ming Zhou:
Mining Query Subtopics from Questions in Community Question Answering. AAAI 2015: 339-345 - [c6]Pavel Berkhin, Michael R. Evans, Florin Teodorescu, Wei Wu, Dragomir Yankov:
A new approach to geocoding: BingGC. SIGSPATIAL/GIS 2015: 7:1-7:10 - 2014
- [c5]Kai Zhang, Wei Wu, Haocheng Wu, Zhoujun Li, Ming Zhou:
Question Retrieval with High Quality Answers in Community Question Answering. CIKM 2014: 371-380 - [c4]Haocheng Wu, Wei Wu, Ming Zhou, Enhong Chen, Lei Duan, Heung-Yeung Shum:
Improving search relevance for short queries in community question answering. WSDM 2014: 43-52 - 2013
- [j3]Wei Wu, Zhengdong Lu, Hang Li:
Learning bilinear model for matching queries and documents. J. Mach. Learn. Res. 14(1): 2519-2548 (2013) - [c3]Wei Wu, Hang Li, Jun Xu:
Learning query and document similarities from click-through bipartite graph with metadata. WSDM 2013: 687-696 - 2012
- [j2]Wei Wu, Hang Li, Yunhua Hu, Rong Jin:
A Kernel Approach to Multi-Task Learning with Task-Specific Kernels. J. Comput. Sci. Technol. 27(6): 1289-1301 (2012) - 2011
- [j1]Wei Wu, Jun Xu, Hang Li, Satoshi Oyama:
Learning a Robust Relevance Model for Search Using Kernel Methods. J. Mach. Learn. Res. 12: 1429-1458 (2011) - [c2]Wei Wu, Hang Li, Yunhua Hu, Rong Jin:
Multi-Task Learning in Square Integrable Space. AAAI 2011: 537-542 - [c1]Jun Xu, Wei Wu, Hang Li, Gu Xu:
A kernel approach to addressing term mismatch. WWW (Companion Volume) 2011: 153-154
Coauthor Index
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