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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 2 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 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
[j12]Ying Mo, Jiahao Liu, Hongyin Tang, Qifan Wang, Zenglin Xu, Jingang Wang, Xiaojun Quan, Wei Wu, Zhoujun Li:
Multi-Task Multi-Attention Transformer for Generative Named Entity Recognition. IEEE ACM Trans. Audio Speech Lang. Process. 32: 4171-4183 (2024)- [c115]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 - [c114]Chuanqi Cheng, Jian Guan, Wei Wu, Rui Yan:
From the Least to the Most: Building a Plug-and-Play Visual Reasoner via Data Synthesis. EMNLP 2024: 4941-4957 - [c113]Chuanqi Cheng, Quan Tu, Wei Wu, Shuo Shang, Cunli Mao, Zhengtao Yu, Rui Yan:
"In-Dialogues We Learn": Towards Personalized Dialogue Without Pre-defined Profiles through In-Dialogue Learning. EMNLP 2024: 10408-10422 - [c112]Zhuocheng Gong, Ang Lv, Jian Guan, Wei Wu, Huishuai Zhang, Minlie Huang, Dongyan Zhao, Rui Yan:
Mixture-of-Modules: Reinventing Transformers as Dynamic Assemblies of Modules. EMNLP 2024: 20924-20938 - [c111]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 - [i78]Jian Guan, Wei Wu, Zujie Wen, Peng Xu, Hongning Wang, Minlie Huang:
AMOR: A Recipe for Building Adaptable Modular Knowledge Agents Through Process Feedback. CoRR abs/2402.01469 (2024) - [i77]Chuanqi Cheng, Quan Tu, Wei Wu, Shuo Shang, Cunli Mao, Zhengtao Yu, Rui Yan:
"In Dialogues We Learn": Towards Personalized Dialogue Without Pre-defined Profiles through In-Dialogue Learning. CoRR abs/2403.03102 (2024) - [i76]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) - [i75]Chuanqi Cheng, Jian Guan, Wei Wu, Rui Yan:
From the Least to the Most: Building a Plug-and-Play Visual Reasoner via Data Synthesis. CoRR abs/2406.19934 (2024) - [i74]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. CoRR abs/2407.04118 (2024) - [i73]Zhuocheng Gong, Ang Lv, Jian Guan, Junxi Yan, Wei Wu, Huishuai Zhang, Minlie Huang, Dongyan Zhao, Rui Yan:
Mixture-of-Modules: Reinventing Transformers as Dynamic Assemblies of Modules. CoRR abs/2407.06677 (2024) - [i72]Jiaxin Wen, Jian Guan, Hongning Wang, Wei Wu, Minlie Huang:
CodePlan: Unlocking Reasoning Potential in Large Langauge Models by Scaling Code-form Planning. CoRR abs/2409.12452 (2024) - [i71]Jia-Nan Li, Jian Guan, Wei Wu, Zhengtao Yu, Rui Yan:
2D-TPE: Two-Dimensional Positional Encoding Enhances Table Understanding for Large Language Models. CoRR abs/2409.19700 (2024) - 2023
- [j11]Hanqing Liu, Jiacheng Yang, Chia-Hao Chang, Wei Wang, Hai-Tao Zheng, Yong Jiang, Hui Wang, Rui Xie, Wei Wu:
AOG-LSTM: An adaptive attention neural network for visual storytelling. Neurocomputing 552: 126486 (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) - [c110]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 - [c109]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 - [c108]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 - [c107]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 - [c106]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 - [c105]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 - [c104]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 - [c103]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 - [c102]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 - [c101]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 - [c100]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 - [c99]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 - [i70]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) - [i69]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) - [i68]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. CoRR abs/2303.10870 (2023) - [i67]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) - [i66]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) - [i65]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) - [i64]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) - [i63]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
- [c98]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 - [c97]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 - [c96]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 - [c95]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 - [c94]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 - [c93]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 - [c92]Keqing He, Jingang Wang, Chaobo Sun, Wei Wu:
Unified Knowledge Prompt Pre-training for Customer Service Dialogues. CIKM 2022: 4009-4013 - [c91]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 - [c90]Sirui Wang, Di Liang, Jian Song, Yuntao Li, Wei Wu:
DABERT: Dual Attention Enhanced BERT for Semantic Matching. COLING 2022: 1645-1654 - [c89]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 - [c88]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 - [c87]Chen Zhang, Lei Ren, Fang Ma, Jingang Wang, Wei Wu, Dawei Song:
Structural Bias for Aspect Sentiment Triplet Extraction. COLING 2022: 6736-6745 - [c86]Xin Zhou, Ruotian Ma, Yicheng Zou, Xuanting Chen, Tao Gui, Qi Zhang, Xuanjing Huang, Rui Xie, Wei Wu:
Making Parameter-efficient Tuning More Efficient: A Unified Framework for Classification Tasks. COLING 2022: 7053-7064 - [c85]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 - [c84]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 - [c83]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 - [c82]Dan Li, Yang Yang, Hongyin Tang, Jiahao Liu, Qifan Wang, Jingang Wang, Tong Xu, Wei Wu, Enhong Chen:
VIRT: Improving Representation-based Text Matching via Virtual Interaction. EMNLP 2022: 914-925 - [c81]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 - [c80]Chen Zhang, Lei Ren, Jingang Wang, Wei Wu, Dawei Song:
Making Pretrained Language Models Good Long-tailed Learners. EMNLP 2022: 3298-3312 - [c79]Yupeng Zhang, Hongzhi Zhang, Sirui Wang, Wei Wu, Zhoujun Li:
PATS: Sensitivity-aware Noisy Learning for Pretrained Language Models. EMNLP 2022: 3680-3687 - [c78]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 - [c77]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 - [c76]Miaoxin Chen, Zibo Lin, Rongyi Sun, Kai Ouyang, Hai-Tao Zheng, Rui Xie, Wei Wu:
Retrieval Enhanced Segment Generation Neural Network for Task-Oriented Dialogue Systems. ICASSP 2022: 6592-6596 - [c75]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 - [c74]Yuling Wang, Hao Xu, Yanhua Yu, Mengdi Zhang, Zhenhao Li, Yuji Yang, Wei Wu:
Ensemble Multi-Relational Graph Neural Networks. IJCAI 2022: 2298-2304 - [c73]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 - [c72]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 - [c71]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 - [c70]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 - [c69]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 - [c68]Xueliang Zhao, Tingchen Fu, Chongyang Tao, Wei Wu, Dongyan Zhao, Rui Yan:
Learning to Express in Knowledge-Grounded Conversation. NAACL-HLT 2022: 2258-2273 - [c67]Ze Yang, Christian Wang, Zhoujin Tian, Wei Wu, Zhoujun Li:
TANet: Thread-Aware Pretraining for Abstractive Conversational Summarization. NAACL-HLT (Findings) 2022: 2594-2607 - [c66]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 - [c65]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 - [c64]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 - [c63]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 - [c62]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 - [c61]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 - [c60]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 - [i62]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) - [i61]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) - [i60]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) - [i59]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) - [i58]Ze Yang, Liran Wang, Zhoujin Tian, Wei Wu, Zhoujun Li:
TANet: Thread-Aware Pretraining for Abstractive Conversational Summarization. CoRR abs/2204.04504 (2022) - [i57]Xueliang Zhao, Tingchen Fu, Chongyang Tao, Wei Wu, Dongyan Zhao, Rui Yan:
Learning to Express in Knowledge-Grounded Conversation. CoRR abs/2204.05805 (2022) - [i56]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) - [i55]Chen Zhang, Lei Ren, Jingang Wang, Wei Wu, Dawei Song:
Making Pre-trained Language Models Good Long-tailed Learners. CoRR abs/2205.05461 (2022) - [i54]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) - [i53]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) - [i52]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) - [i51]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) - [i50]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) - [i49]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) - [i48]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) - [i47]Keqing He, Jingang Wang, Chaobo Sun, Wei Wu:
Unified Knowledge Prompt Pre-training for Customer Service Dialogues. CoRR abs/2208.14652 (2022) - [i46]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) - [i45]Chen Zhang, Lei Ren, Fang Ma, Jingang Wang, Wei Wu, Dawei Song:
Structural Bias for Aspect Sentiment Triplet Extraction. CoRR abs/2209.00820 (2022) - [i44]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) - [i43]Sirui Wang, Di Liang, Jian Song, Yuntao Li, Wei Wu:
DABERT: Dual Attention Enhanced BERT for Semantic Matching. CoRR abs/2210.03454 (2022) - [i42]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) - [i41]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) - [i40]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) - [i39]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) - [i38]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) - [i37]Yupeng Zhang, Hongzhi Zhang, Sirui Wang, Wei Wu, Zhoujun Li:
PATS: Sensitivity-aware Noisy Learning for Pretrained Language Models. CoRR abs/2210.12403 (2022) - [i36]Jingheng Ye, Yinghui Li, Shirong Ma, Rui Xie, Wei Wu, Hai-Tao Zheng:
Focus Is What You Need For Chinese Grammatical Error Correction. CoRR abs/2210.12692 (2022) - [i35]Zilin Yuan, Yinghui Li, Yangning Li, Rui Xie, Wei Wu, Hai-Tao Zheng:
A Curriculum Learning Approach for Multi-domain Text Classification Using Keyword weight Ranking. CoRR abs/2210.15147 (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) - [c59]Ze Yang, Wei Wu, Huang Hu, Can Xu, Wei Wang, Zhoujun Li:
Open Domain Dialogue Generation with Latent Images. AAAI 2021: 14239-14247 - [c58]Rui Yan, Wei Wu:
Empowering Conversational AI is a Trip to Mars: Progress and Future of Open Domain Human-Computer Dialogues. AAAI 2021: 15078-15086 - [c57]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 - [c56]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 - [c55]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 - [c54]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 - [c53]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 - [c52]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 - [c51]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 - [c50]Chenxu Lv, Hengtong Lu, Shuyu Lei, Huixing Jiang, Wei Wu, Caixia Yuan, Xiaojie Wang:
Task-Oriented Clustering for Dialogues. EMNLP (Findings) 2021: 4338-4347 - [c49]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 - [c48]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 - [c47]Chongyang Tao, Jiazhan Feng, Rui Yan, Wei Wu, Daxin Jiang:
A Survey on Response Selection for Retrieval-based Dialogues. IJCAI 2021: 4619-4626 - [c46]Chiqun Zhang, Dragomir Yankov, Simon Shapiro, Wei Wu:
An End-to-end Beacon Placement Optimization System for Indoor Positioning. IPIN 2021: 1-8 - [c45]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
- [c44]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 - [c43]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 - [c42]Xueliang Zhao, Wei Wu, Chongyang Tao, Can Xu, Dongyan Zhao, Rui Yan:
Low-Resource Knowledge-Grounded Dialogue Generation. ICLR 2020 - [c41]Yang Jiao, Liang Han, Rong Jin, Yi-Jung Su, Chiente Ho, Li Yin, Yun Li, Long Chen, Zhen Chen, Lu Liu, Zhuyu He, Yu Yan, Jun He, Jun Mao, Xiaotao Zai, Xuejun Wu, Yongquan Zhou, Mingqiu Gu, Guocai Zhu, Rong Zhong, Wenyuan Lee, Ping Chen, Yiping Chen, Weiliang Li, Deyu Xiao, Qing Yan, Mingyuan Zhuang, Jiejun Chen, Yun Tian, Yingzi Lin, Wei Wu, Hao Li, Zesheng Dou:
7.2 A 12nm Programmable Convolution-Efficient Neural-Processing-Unit Chip Achieving 825TOPS. ISSCC 2020: 136-140 - [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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