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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.org/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)
- Wei Wu 0045 — University of Science and Technology of China, School of Artificial Intelligence and Data Science, School of Data Science, Hefei, China
- Wei Wu 0046 — Shandong Normal University, School of Information Science and Engineering, Jinan, China (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
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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]