专利/软著
基于目标检测的中间过程监督策略的视觉问答方法(202410237190.2)
一种面向细粒度实体分类的噪声标签修正方法(202210587889.2)
基于深度感知与语义引导的关系注意力网络视觉问答方法(202210231121.1)
基于用户重复行为模式挖掘的短序列推荐方法(202011362298.2)
一种基于自注意力机制的情感对话生成方法与装置(2019105961667.8)
基于网络表示学习的垃圾评论用户群组检测方法 (201910601396.8)
一种基于位置感知自注意力机制的序列标注模型与标注方法 (201910362637.8)
面向开放式社区问答对自动化文摘系统（2017SR692298）
论文发表
[CVPR 2025] Extrapolating and Decoupling Image-to-Video Generation Models: Motion Modeling is Easier Than You Think, Jie Tian, Xiaoye Qu, Zhenyi Lu, Wei Wei*, Sichen Liu, Yu Cheng. In: Proceedings of The IEEE/CVF Conference on Computer Vision and Pattern Recognition 2025 (CVPR'25), Music City Center, Nashville TN. [CCF A]
[AAAI 2025] Semantic Enhanced Heterogeneous Hypergraph Network for Collaborative Filtering, Mingtao Xu, Wei Wei*, Peixuan Yang, Hulong Wu. In: Proceedings of the 39thAAAI Conference on Artificial Intelligence (AAAI'25), Philadelphia, Pennsylvania, USA. [CCF A]
[AAAI 2025] Editing Memories Through Few Targeted Neurons, Wei Zhou, Wei Wei*, Guibang Cao, Fei Wang. In: Proceedings of the 39thAAAI Conference on Artificial Intelligence (AAAI'25), Philadelphia, Pennsylvania, USA. [CCF A]
[AAAI 2025] Enhanced Sample Selection with Confidence Tracking: Identifying Correctly Labeled yet Hard-to-Learn Samples in Noisy Data, Weiran Pan, Wei Wei*, Feida Zhu, Yong Deng. In: Proceedings of the 39thAAAI Conference on Artificial Intelligence (AAAI'25), Philadelphia, Pennsylvania, USA. [CCF A]
[TKDE] Exploring Progress in Multivariate Time Series Forecasting: Comprehensive Benchmarking and Heterogeneity Analysis, Zezhi Shao, Fei Wang, Yongjun Xu, Wei Wei, Chengqing Yu, Zhao Zhang, Di Yao, Tao Sun, Guangyin Jin, Xin Cao, Gao Cong, Christian S.Jensen, Xueqi Cheng, IEEE Transactions on Knowledge and Data Engineering (TKDE), 2025, to appear. [CCF A]
[TASLP] Improving Personality Consistency in Conversation with Commonsense Knowledge, Yifan Liu#, Shixuan Fan#, Wei Wei*, Xian-Ling Mao, Kaihe Xu, and Dangyang Chen, IEEE/ACM Transactions on Audio, Speech and Language Processing (TASLP), 2025, to appear. [CCF B]
[Coling 2025]: Modal Feature Optimization Network with Prompt for Multimodal Sentiment Analysis, Xiangmin Zhang, Wei Wei* and Shihao Zou, In: Proceedings of the 31th International Conference on Computational Linguistics (Coling 2025), Abu Dhabi, UAE. [CCF B]
[Coling 2025]: SA-DETR:Span Aware Detection Transformer for Moment Retrieval, Tianheng Xiong, Wei Wei*, Kaihe Xu and Dangyang Chen, In: Proceedings of the 31th International Conference on Computational Linguistics (Coling 2025), Abu Dhabi, UAE. [CCF B]
[Coling 2025]: CoMIF: Modeling of Complex Multiple Interaction Factors for Conversation Generation, Yuxuan Chen, Wei Wei*, Shixuan Fan, Kaihe Xu and Dangyang Chen, In: Proceedings of the 31th International Conference on Computational Linguistics (Coling 2025), Abu Dhabi, UAE. [CCF B]
[Coling 2025]: EvoPrompt: Evolving Prompts for Enhanced Zero-Shot Named Entity Recognition with Large Language Models, Zeliang Tong#, Zhuojun Ding# and Wei Wei*, In: Proceedings of the 31th International Conference on Computational Linguistics (Coling 2025), Abu Dhabi, UAE. [CCF B]
[Coling 2025]: Look, Compare, Decide: Alleviating Hallucination in Large Vision-Language Models via Multi-View Multi-Path Reasoning, Xiaoye Qu, Jiashuo Sun, Wei Wei*, Daizong Liu, Jianfeng Dong and Yu Cheng, In: Proceedings of the 31th International Conference on Computational Linguistics (Coling 2025), Abu Dhabi, UAE. [CCF B]
[ICME2025] ConAvatar: Harnessing Facial Mesh for Controllable Avatar Animation, Zhen Tan, Wei Wei*. In: Proceedings of 2025 IEEE International Conference on Multimedia and Expo (ICME 2025), Nantes, France. [CCF B]
[PR] Local-Global Feature Attention Fusion Network for Face Recognition, Yu Wang, Wei Wei*, Pattern Recognition (PR, IF=7.74) , 2025, to appear. [CCF B]
[ESWA] PGSO: Prompt-based Generative Sequence Optimization Network for Aspect-based Sentiment Analysis, Hao Dong, Wei Wei*, Expert Systems With Applications (ESWA, IF=7.5), 2025, to appear.[SCI]
[KBS] Path-Aware Reasoning Network for document-level relation extraction with co-regularization loss，Yin Yuan, Ai Xuhua, Yu Yiting, Qu Xiaoye, Wei Wei，Knowledge-based System (KBS, IF=5.101)，2025.
[NeurIPS 2024]: Twin-Merging: Dynamic Integration of Modular Expertise in Model Merging, Zhenyi Lu#, Chenghao Fan#, Wei Wei*, Xiaoye Qu, Dangyang Chen, Yu Cheng, In: Proceedings of the Thirty-Eighth Annual Conference on Neural Information Processing Systems, NeurIPS 2024, Vancouver Convention Center, Canada, 2024. [CCF A]
[NeurIPS 2024]: On Giant's Shoulders: Effortless Weak to Strong by Dynamic Logits Fusion, Chenghao Fan#, Zhenyi Lu#, Wei Wei*, Jie Tian, Xiaoye Qu, Dangyang Chen, Yu Cheng, In: Proceedings of the Thirty-Eighth Annual Conference on Neural Information Processing Systems, NeurIPS 2024, Vancouver Convention Center, Canada, 2024. [CCF A]
[MM 2024]: UniQ: Unified Decoder with Task-specific Queries for Efficient Scene Graph Generation, Xinyao Liao, Wei Wei*, Dangyang Chen, Yuanyuan Fu, In: Proceedings of the 32st ACM International Conference on Multimedia, MM 2024, Melbourne, Australia, 2024. [CCF A]
[ACL 2024] Confidence is not Timeless: Modeling Temporal Validity for Rule-based Temporal Knowledge Graph Forecasting, Rikui Huang, Wei Wei*, Xiaoye Qu, Shengzhe Zhang, Dangyang Chen, Yu Cheng, In： The 62nd Annual Meeting of the Association for Computational Linguistics (ACL 2024), Bangkok, Thailand. [CCF A]
[ACL 2024]: Mitigating Boundry Ambiguity and Inherent Bias for Text Classification in the Era of Large Language Models, Zhenyi Lu#, Jie Tian#, Wei Wei*, Xiaoye Qu, Yu Cheng, Wenfeng xie, Dangyang Chen, In： The 62nd Annual Meeting of the Association for Computational Linguistics (Findings of ACL 2024), Bangkok, Thailand. [CCF A]
[ACL 2024]: Personalized Topic Selection Model for Topic-Grounded Dialogue，Shixuan Fan, Wei Wei*, Xiaofei Wen, Xian-Ling Mao, Jixiong Chen, Dangyang Chen, In： The 62nd Annual Meeting of the Association for Computational Linguistics (Findings of ACL 2024), Bangkok, Thailand. [CCF A]
[IJCAI 2024]: Improving Pseudo Labels with Global-Local Denoising Framework for Cross-lingual Named Entity Recognition, Zhuojun Ding, Wei Wei*, Xiaoye Qu, Dangyang Chen In：Proceedings of the 32nd International Joint Conference on Artificial Intelligence (IJCAI-24), Jeju Island, South Korea. [CCF A]
[IJCAI 2024]: Position Debiasing Fine-Tuning for Causal Perception in Long-Term Dialogue, Shixuan Fan, Wei Wei*, Wendi Li, Xianling Mao, Wenfeng Xie, Dangyang Chen, In：Proceedings of the 32nd International Joint Conference on Artificial Intelligence (IJCAI-24), Jeju Island, South Korea. [CCF A]
[WWW 2024] Knowledge Enhanced Multi-intent Transformer Network for Recommendation, Ding Zou, Wei Wei*, Feida Zhu, Chuanyu Xu, Tao Zhang and Chengfu Huo. In: Proceedings of the 33th International World Wide Web (The Web) Conferences (WWW'24), Singapore. [CCF A]
[AAAI 2024] Enhancing Low-Resource Relation Representations through Multi-View Decoupling, Chenghao Fan, Wei Wei*, Xiaoye Qu, Zhenyi Lu, Wenfeng Xie, Yu Chen, Dangyang Chen. In: Proceedings of the 38thAAAI Conference on Artificial Intelligence (AAAI'24), Vancouver, Canada. [CCF A]
[AAAI 2024] Detection-based Intermediate Supervision for Visual Question Answering, Yuhang Liu#, Daowan Peng#, Wei Wei*, Yuanyuan Fu, Wenfeng Xie, Dangyang Chen. In: Proceedings of the 38thAAAI Conference on Artificial Intelligence (AAAI'24), Vancouver, Canada. [CCF A]
[CVPR 2024] 4D Gaussian Splatting for Real-Time Dynamic Scene Rendering, Guanjun Wu, Taoran Yi, Jiemin Fang, Lingxi Xie, XiaoPeng Zhang, Wei Wei, Wenyu Liu, Qi Tian, Xinggang Wang. The IEEE/CVF Conference on Computer Vision and Pattern Recognition 2024 (CVPR'24),Seattle, USA. [CCF A]
[SIGKDD 2024]: An End-To-End Multivariate Time Series Forecasting Model Suitable for Variable Missing，Chengqing Yu, Fei Wang, Zezhi Shao, Tangwen Qian, Zhao Zhang, Wei Wei, Yongjun Xu，In: Proceedings of the 30th International ACM SIGKDD Conference on Research and Development Knowledge Discovery and Data Mining (SIGKDD 2024), Barcelona, Spain. [CCF A]
[CIKM 2024]: Towards Deconfounded Visual Question Answering via Dual-causal Intervention, Daowan Peng, Wei Wei*, In: 33st ACM International Conference on Information and Knowledge Management (CIKM 2024) Boise, Idaho, USA, 2024. [CCF B]
[EMNLP 2024]: CNEQ: Incorporating numbers into Knowledge Graph Reasoning, Xianshu Peng, Wei Wei*, Kaihe Xu, Dangyang Chen, In：Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing (Findings of EMNLP 2024), Miami, Florida, USA. [CCF B]
[EMNLP 2024]: Modeling Historical Relevant and Local Frequency Context for Representation-Based Temporal Knowledge Graph Forecasting, Shengzhe Zhang, Wei Wei*, Rikui Huang, Wenfeng Xie, Dangyang Chen, In：Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing (Findings of EMNLP 2024), Miami, Florida, USA. [CCF B]
[NAACL 2024] Reinforcement Learning with Token-level Feedback for Controllable Text Generationpdf icon, Wendi Li, Wei Wei*, Kaihe Xu, Wenfeng Xie, Dangyang Chen, Yu Cheng. In: Proceedings of 2024 Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL 2024), Mexico City, Mexico. [CCF B]
[ICME2024] Overcoming Language Priors for Visual Question Answering Based on Knowledge Distillation, Daowan Peng, Wei Wei*. In: Proceedings of 2024 IEEE International Conference on Multimedia and Expo (ICME 2024), Niagara. [CCF B]
[ICASSP 2024] Joint Multi-Facts Reasoning Network for Complex Temporal Question Answering over Knowledge Graph, Rikui Huang, Wei Wei*, Xiaoye Qu, Wenfeng Xie, Xian-Ling Mao, Dangyang Chen. In: Proceedings of 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2024), Seoul, Korea. [CCF B]
[TKDE] Towards Hierarchical Intent Disentanglement for Bundle Recommendation, Ding Zou#, Sen Zhao#, Wei Wei*, Xian-ling Mao, Ruixuan Li, Dangyang Chen, Rui Fang, and Yuanyuan Fu., IEEE Transactions on Knowledge and Data Engineering (TKDE), 2024, to appear. [CCF A]
[TKDE] Similarity Transitivity Broken-aware Multi-modal Hashing, Rong-Cheng Tu, Xian-Ling Mao, Jinyu Liu, Yatai ji, Wei Wei，Heyan Huang, IEEE Transactions on Knowledge and Data Engineering (TKDE), 2024, to appear. [CCF A
[Pattern Recognition]: Exploring Global Information for Session-based Recommendation. Ziyang Wang, Wei Wei*, Ding Zou, Yifan Liu, Xiao-Li Li, Xian-Ling Mao, Minghui Qiu, Pattern Recognition (PR, IF=7.74), 2024, to appear.[CCF B]
[Knowledge-Based Systems]: Exploiting Global Contextual Information for Document-level Named Entity Recognition, Yiting Yu, Zanbo Wang, Wei Wei*, Ruihan Zhang, Xian-Ling Mao, Shanshan Feng, Fei Wang, Zhiyong He, Sheng Jiang, Knowledge-Based Systems (KBS, IF = 5.101), 2024, to appear. [SCI]
[Knowledge-Based System] OSTOD: One-Step Task-Oriented Dialogue with activated state and retelling response, Heyan Huang, Puhai Yang, Wei Wei, Shumin Shi, Xian-Ling Mao, Knowledge-Based Systems (KBS, IF = 5.101), 2024, to appear
[ACL 2023]: TREA: Tree-Structure Reasoning Schema for Conversational Recommendation, Wendi Li, Wei Wei*, Xiaoye Qu, Xian-Ling Mao, Ye Yuan, Wenfeng Xie and Dangyang Chen, In：Proceedings of The 61st Annual Meeting of the Association for Computational Linguistics (ACL2023), Toronto，Canada. [CCF A]
[ACL 2023]: Bridge the Gap Between CV and NLP! An Optimization-based Textual Adversarial Attack Framework, Lifan Yuan#, YiChi Zhang#, Yangyi Chen# and Wei Wei*, In：Proceedings of The 61st Annual Meeting of the Association for Computational Linguistics (Findings of ACL2023), Toronto，Canada. [CCF A]
[ACL 2023]: AttenWalker: Unsupervised Long-Document Question Answering via Attention-based Graph Walking, Nie Yuxiang, Huang Heyan, Wei Wei, Mao Xian-Ling, In：Proceedings of The 61st Annual Meeting of the Association for Computational Linguistics (Findings of ACL2023), Toronto，Canada. [CCF A]
[IJCAI 2023]: An Empirical Study on the Language Modal in Visual Question Answering, Daowan Peng, Wei Wei*, Xian-Ling Mao, Yuanyuan Fu, and Dangyang Chen, In：Proceedings of the 32nd International Joint Conference on Artificial Intelligence (IJCAI-23), Macao, China. [CCF A]
[IJCAI 2023]: Towards Hierarchical Policy Learning for Conversational Recommendation with Hypergraph-based Reinforcement Learning, Sen Zhao, Wei Wei*, Yifan Liu, Ziyang Wang, Wendi Li, Xian-Ling Mao, Shuai Zhu, Minghui Yang and Zujie Wen, In：Proceedings of the 32nd International Joint Conference on Artificial Intelligence (IJCAI-23), Macao, China. [CCF A]
[SIGIR 2023]: Multi-view Hypergraph Contrastive Policy Learning for Conversational Recommendation, Sen Zhao, Wei Wei*, Xian-Ling Mao, Shuai Zhu, Minghui Yang, Zujie Wen, Dangyang Chen and Feida Zhu, In：Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval （SIGIR‘23）, TaiBei, China. [CCF A]
[SIGIR 2023]: Data-Aware Proxy Hashing for Cross-modal Retrieval, Rong-Cheng Tu, Xian-Ling Mao, Wenjin Ji, Wei Wei and Heyan Huang, In：Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval （SIGIR‘23）, TaiBei, China. [CCF A]
[AAAI 2023]: STAGE: Span Tagging and Greedy Inference Scheme for Aspect Sentiment Triplet Extraction, Shuo Liang, Wei Wei*, Xian-Ling Mao , Yuanyuan Fu, Rui Fang, Dangyang Chen, In: Proceedings of the 37thAAAI Conference on Artificial Intelligence (AAAI'23), Washington DC Convention Center, USA. [CCF A]
[TKDE] ROLE: Rotated Lorentzian Graph Embedding Model for Asymmetric Proximity, Shanshan Feng, Lisi Chen, Kaiqi Zhao, Wei Wei*, Xuemeng Song, Shuo Shang*, Panos Kalnis，Ling Shao, IEEE Transactions on Knowledge and Data Engineering (TKDE), 2023, to appear. [CCF A]
[SIGMOD 2023]: Unsupervised Hashing with Semantic Concept Mining, Rong-Cheng Tu, Xian-Ling Mao, Qinghong Lin, Chengfei Cai, Weize Qin, Wei Wei, Hongfa Wang, Heyan Huang,In: Proceedings of ACM SIGMOD/PODS International Conference on Management Data (SIGMOD 2023), Seattle, WA, USA. [CCF A]
[EMNLP 2023]: Miracle: Towards Personalized Dialogue Generation with Latent-Space Multiple Personal Attribute Control, Zhenyi Lu, Wei Wei*, Xiaoye Qu, Xian-Ling Mao, Dangyang Chen, Jixiong Chen, In：Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing (Findings of EMNLP 2023), Singapore. [CCF B]
[CIKM 2023]: RotDiff: A Hyperbolic Rotation Representation Model for Information Diffusion Prediction, Hongliang Qiao, Shanshan Feng, Xutao Li, Huiwei Lin, Han Hu, Wei Wei and Yunming Ye, In: 32st ACM International Conference on Information and Knowledge Management (CIKM 2023) Birmingham, UK,2023. [CCF B]
[CIKM 2023]: HyperBandit: Contextual Bandit with Hypernewtork for Time-Varying User Preferences in Streaming Recommendation, Chenglei Shen, Xiao Zhang, Wei Wei and Jun Xu, In: 32st ACM International Conference on Information and Knowledge Management (CIKM 2023) Birmingham, UK,2023. [CCF B]
[TKDE] Exploiting Group-level Behavior Pattern for Session-based Recommendation, Ziyang Wang, Wei Wei*, Shanshan Feng, Xian-Ling Mao, Minghui Qiu, Dangyang Chen, Rui Fang, IEEE Transactions on Knowledge and Data Engineering (TKDE), 2023, to appear. [CCF A]
[TKDE] Heterogeneous Graph Neural Network with Multi-view Representation Learning, Zezhi Shao, Yongjun Xu, Wei Wei*, Fei Wang*, Zhao Zhang, Feida Zhu, IEEE Transactions on Knowledge and Data Engineering (TKDE), 2023, to appear. [CCF A]
[TKDE] H-Diffu: Hyperbolic Representations for Information Diffusion Prediction, Shanshan Feng, Kaiqi Zhao, Lanting Fan, Kaiyu Feng, Wei Wei, Xutao Li, Ling Shang, IEEE Transactions on Knowledge and Data Engineering (TKDE), 2023, to appear. [CCF A]
[TOIS] Towards Efficient Coarse-grained Dialogue Response Selection, Tian Lan, Xian-Ling Mao, Wei Wei, Xiaoyan Gao, Heyan Huang, ACM Transactions on Information Systems (TOIS), 2023, to appear. [CCF A]
[TMM] Unsupervised Cross-modal Hashing via Semantic Text Mining, Rong-Cheng Tu, Xian-Ling Mao, Qinghong Lin, Wenjin Ji, Weize Qin, Wei Wei, Heyan Huang, IEEE Transactions on Multimedia (TMM), 2023, to appear. [CCF B]
[PVLDB 2022]: Decoupled Dynamic Spatial-Temporal Graph Neural Network for Traffic Forecasting, Zezhi Shao, Zhao Zhang, Wei Wei*, Fei Wang*, Yongjun Xu, Xin Cao, Christian S. Jensen, In: 48th International Conference on Very Large Databases (PVLDB 2022), Sydney, Australia, 2022. [CCF A]
[SIGKDD 2022]: Toward Real-life Dialogue State Tracking Involving Negative Feedback Utterances，Puhai Yang，Heyan Huang，Wei Wei， Xian-Ling Mao，In: Proceedings of the 28th International ACM SIGKDD Conference on Research and Development Knowledge Discovery and Data Mining (SIGKDD 2022), Washington DC Convention Center, USA. [CCF A]
[IJCAI-ECAI'2022]: Declaration-based Prompt Tuning for Visual Question Answering，Yuhang Liu, Wei Wei*，Daowan Peng, Feida Zhu, In: Proceedings of the 31st International Joint Conference on Artificial Intelligence and the 25th European Conference on Artificial Intelligence (IJCAI-ECAI'2022), Messe Wien, Vienna, Austria.[CCF A]
[IJCAI-ECAI'2022]: Automatic Noisy Label Correction for Fine-Grained Entity Typing，Weiran Pan, Wei Wei*，Feida Zhu, In: Proceedings of the 31st International Joint Conference on Artificial Intelligence and the 25th European Conference on Artificial Intelligence (IJCAI-ECAI' 2022), Messe Wien, Vienna, Austria.[CCF A]
[IJCAI-ECAI'2022]: Relational Triple Extraction: One Step is Enough, Yu-Ming Shang, Heyan Huang, Xin Sun, Wei Wei, Xian-Ling Mao, In: Proceedings of the 31st International Joint Conference on Artificial Intelligence and the 25th European Conference on Artificial Intelligence (IJCAI-ECAI'2022), Messe Wien, Vienna, Austria.[CCF A]
[SIGIR 2022]: Multi-level Cross-view Contrastive Learning for Knowledge-aware Recommender System. Ding Zou, Wei Wei*, Xian-Ling Mao, Ziyang Wang, Minghui Qiu, Feida Zhu and Xin Cao, In: Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2022). Madrid, Spain, 2022, to appear. [Full Paper] [CCF A]
[AAAI 2022]: Multi-view Intent Disentangle Graph Networks for Bundle Recommendation. Sen Zhao, Wei Wei*, Ding Zou, Xian-Ling Mao, In: Proceedings of the 36thAAAI Conference on Artificial Intelligence (AAAI'22). Vancouver, Canada. 2022, to appear. [Full Paper] [CCF A]
[Findings of ACL 2022]: BiSyn-GAT+: Bi-Syntax Aware Graph Attention Network for Aspect-based Sentiment Analysis. Shuo Liang, Wei Wei*, Xian-Ling Mao, Fei Wang, Zhiyong He, In: Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Findings of ACL'22). Dublin, Germany. 2022, to appear. [Full Paper] [CCF A]
[ACL 2022]: Cross-Lingual Phrase Retrieval. Heqi Zheng, Xiao Zhang, Zewen Chi, Heyan Huang, Yan Tan, Tian Lan, Wei Wei, Xian-Ling Mao, In: Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (ACL'22). Dublin, Germany. 2022, to appear. [Full Paper] [CCF A]
[Coling 2022]: Incorporating Casual Analysis into Diversified and Logical Response Generation, Jiayi Liu, Wei Wei*, Zhixuan Chu, Xing Gao, Ji Zhang, Tan Yan, Yulin Kang, In: Proceedings of the 29th International Conference on Computational Linguistics (Coling 2022), Gyeongju, Republic of Kore. [CCF B]
[EMNLP 2022]: HCL-TAT: A Hybrid Contrastive Learning Method for Few-shot Event Detection with Task-Adaptive Threshold, Ruihan Zhang, Wei Wei*, Xian-Ling Mao, Rui Fang and Dangyang Chen,In: Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing (Findings of EMNLP'2022), Abu Dhabi. [CCF B]
[EMNLP 2022]: Sequential Topic Selection Model with Latent Variable for Topic-Grounded Dialogue, Xiaofei Wen, Wei Wei*, Xian-Ling Mao, In: Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing (Findings of EMNLP'2022), Abu Dhabi. [CCF B]
[EMNLP 2022]: Capturing Global Structural Information in Long Document Question Answering with Compressive Graph Selector Network, Yuxiang Nie, Heyan Huang, Wei Wei and Xian-Ling Mao, In: Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP'2022), Abu Dhabi. [CCF B]
[CIKM 2022]: Improving Knowledge-aware Recommendation with Multi-level Interactive Contrastive Learning，Ding Zou, Wei Wei*, Ziyang Wang, Xian-Ling Mao, Feida Zhu, Rui Fang and Dangyang Chen. In: 31st ACM International Conference on Information and Knowledge Management (CIKM 2022) Atlanta, Georgia, USA, 2022. [CCF B]
[CIKM 2022]: Improving Personality Consistency in Conversation by Persona Extending，Yifan Liu, Wei Wei*, Jiayi Liu, Xian-Ling Mao, Rui Fang and Dangyang Chen. In: 31st ACM International Conference on Information and Knowledge Management (CIKM 2022) Atlanta, Georgia, USA, 2022. [CCF B]
[CIKM 2022]: Multi-level Contrastive Learning Framework for Sequential Recommendation，Ziyang Wang, Huoyu Liu, Wei Wei*, Yue Hu, Xian-Ling Mao, Shaojian He, Rui Fang and Dangyang Chen. In: 31st ACM International Conference on Information and Knowledge Management (CIKM 2022) Atlanta, Georgia, USA, 2022. [CCF B]
[CIKM 2022]: Spatial-Temporal Identity: A Simple yet Effective Baseline for Multivariate Time Series Forecasting, Zezhi Shao, Zhao Zhang, Fei Wang, Wei Wei and Yongjun Xu. In: 31st ACM International Conference on Information and Knowledge Management (CIKM 2022) Atlanta, Georgia, USA, 2022. [Short Paper] [CCF B]
[TMM]: Depth-aware and Semantic Guided Relational Attention Network for Visual Question Answering，Yuhang Liu, Wei Wei*，Daowan Peng, Xian-Ling Mao, Zhiyong He, Pan Zhou, IEEE Transactions on Multimedia (TMM), 2022, to appear. [CCF B]
[Pattern Recognition]: User-based Network Embedding for Opinion Spammer Detection. Ziyang Wang, Wei Wei*, Xian-Ling Mao, Guibing Guo, Pan Zhou, Sheng Jiang, Pattern Recognition (PR, IF=7.74), 2022, to appear.[CCF B]
[Neurocomputing]: Person-job fit estimation from candidate profile and related recruitment history with Co-Attention Neural Networks. Ziyang Wang, Wei Wei*, Chenwei Xu, Jun Xu, Xian-Ling Mao, Neurocomputing (IF=5.71), 2022, to appear.[SCI]
[TKDE]: Deep Cross-modal Proxy Hashing, Rong-Cheng Tu, Xian-Ling Mao, Rong-Xin Tu, Binbin Bian, Wei Wei and Heyan Huang, IEEE Transactions on Knowledge and Data Engineering (TKDE), 2022, to appear. [CCF A]
[TKDE]: CmnRec: Sequential Recommendations with Chunk-accelerated Memory Network. Shilin Qu, Fajie Yuan, Guibing Guo, Liguang Zhang, Wei Wei, IEEE Transactions on Knowledge and Data Engineering (TKDE), 2022, to appear. [CCF A]
[TKDE]: Intra-category Aware Hierarchical Supervised Document Hashing. Jia-Nan Guo, Xian-Ling Mao, Wei Wei, Heyan Huang, IEEE Transactions on Knowledge and Data Engineering (TKDE), 2022, to appear. [CCF A]
[TOIS]: Learning Relation Ties with a Force-Directed Graph in Distant Supervised Relation Extraction. Yuming Shang, Heyan Huang, Xin Sun, Wei Wei, Xian-Ling Mao, ACM Transactions on Information Systems (TOIS), 2022, to appear. [CCF A]
[EMNLP 2021]: Multi-granularity Textual Adversarial Attack with Behavior Cloning, Yangyi Chen, Jin Su, Wei Wei*, Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (EMNLP'2021), Punta Cana, Dominican Republic., to appear. [CCF B]
[Findings of EMNLP 2021]: Context-aware Entity Typing in Knowledge Graph, Weiran Pan, Wei Wei*, Xian-Ling Mao, Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing (Findings of EMNLP'2021), Punta Cana, Dominican Republic., to appear. [CCF B]
[TKDE]: LASH: Large-scale Academic Deep Semantic Hashing, Jia-Nan Guo, Xian-Ling Mao, Tian Lan, Rong-Xin Tu, Wei Wei and Heyan Huang, IEEE Transactions on Knowledge and Data Engineering (TKDE), 2021, to appear. [CCF A]
[MM 2021]: Weighted Gaussian Loss based Hamming Hashing, Rong-Cheng Tu, Xian-Ling Mao, Cihang Kong, Zihang Shao, Ze-Lin Li, Wei Wei, Heyan Huang, The 29th ACM International Conference on Multimedia (ACM MM 2021), China, to appear. (CCF A)
[CVPR 2021]: Context-aware Biaffine Localizing Network for Temporal Sentence Grounding, Daizong Liu, Xiaoye Qu, Jianfeng Dong, Pan Zhou, Yu Cheng, Wei Wei, Zichuan Xu, and Yulai Xie, IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021 to appear. [CCF A]
[WWW 2021]: Partial-Softmax Loss based Deep Hashing, Rong-Cheng Tu, Xian-Ling Mao, Jia-Nan Guo, Wei Wei, Heyan Huang, In: Proceedings of the 30th The Web Conference on Artificial Intelligence (WWW'2021). Ljubljana, Slovenia, 2021, to appear. [Full Paper] (CCF A)
[AAAI 2021]: Reinforced History Backtracking for Conversational Question Answering. Minghui Qiu，Xinjing Huang，Cen Chen，Feng Ji，Chen Qu，Wei Wei，Jun Huang，Yin Zhang, In: Proceedings of the 35thAAAI Conference on Artificial Intelligence (AAAI'21). Visual Conference. 2021, to appear. [Full Paper] (CCF A)
[AAAI 2021]: Spatiotemporal Graph Neural Network based Mask Reconstruction for Video Object Segmentation. Daizong Liu, Shuangjie Xu, Xiao-Yang Liu, Zichuan Xu, Wei Wei, Pan Zhou,In: Proceedings of the 35thAAAI Conference on Artificial Intelligence (AAAI'21). Visual Conference. 2021, to appear. [Full Paper] (CCF A)
[Knowledge-Based Systems ]: Three Birds, One Stone: A Novel Translation based Framework for Joint Entity and Relation Extraction, Heyan Huang, Yu-Ming Shang, Xin Sun, Wei Wei and Xianling Mao,Knowledge-Based Systems (KBS, IF = 5.101), 2022, to appear. [SCI]
[Information Sciences]: A Pattern-aware Self-attention Network for Distant Supervised Relation Extraction, Yu-Ming Shang, Heyan Huang, Xin Sun, Wei Wei, Xian-Ling Mao, Information Sciences 2022, to appear. [CCF B]
[TOIS]: Target Guided Emotion Aware Chat Machine, Wei Wei, Jiayi Liu, Xianling Mao, Guibing Guo, Feida Zhu, Pan Zhou, Yuchong Hu, Shanshan Feng, ACM Transactions on Information Systems (TOIS), 2021, to appear. [CCF A]
[TOIS]: PONE: A Novel Automatic Evaluation Metric for Open-Domain Generative Dialogue Systems, Tian Lan, Xian-Ling Mao, Wei Wei, Xiaoyan Gao, Heyan Huang, ACM Transactions on Information Systems （TOIS）, 2020, to appear. [CCF A]
[Pattern Recognition]: Position-Aware Self-Attention based Neural Sequence Labeling, Wei Wei, Zanbo Wang, Xianling Mao, Guangyou Zhou, Pan Zhou, Sheng Jiang,Pattern Recognition (PR, IF=7.196), 2020, to appear. [CCF B]
[ICDE 2021]: Node2LV: Squared Lorentzian Representations for Node Proximity, Feng Shanshan, Chen Lisi, Zhao Kaiqi, Wei Wei, Fan Li, Shuo Shang,In: In: Proceedings of the 37th IEEE International Conference on Data Engineering (ICDE'2021), to appear. [Poster, 6 pages] (CCF A)
[ICKG 2020: Best Student Paper Award]: A Robust and Domain-Adaptive Approach for Low-Resource Named Entity Recognition,Houjin Yu, Xian-Ling Mao, Zewen Chi, Wei Wei, Heyan Huang, IEEE International Conference on Knowledge Graph (ICKG 2020), to appear. [Best Student Paper Award]
[SIGIR 2020]: Global Context Enhanced Graph Neural Networks for Session-based Recommendation, Ziyang Wang, Wei Wei*, Gao Cong, Xiaoli-Li, Xian-Ling Mao, Minghui Qiu,In: Proceedings of the 43th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR'2020), Xi'an, China, 2020, to appear. [Full Paper] (CCF A)
[IJCAI-PRICAI 2020]: MLS3RDUH: Deep Unsupervised Hashing via Manifold based Local Semantic Similarity Structure Reconstructing, Rong-Cheng Tu, Xian-Ling Mao, Wei Wei,In: Proceedings of The 29th International Joint Conference on Artificial Intelligence and the 17th Pacific Rim International Conference on Artificial Intelligence (IJCAI-PRICAI 2020) , Yokohama, Japan, 2020, to appear. [Full Paper] (CCF A)
[TKDE]: Deep Cross-Modal Hashing with Hashing Functions and Unified Hash Codes Jointly Learning，Rong-Cheng Tu, Xian-Ling Mao, Bing Ma, Yong Hu, Tan Yan, Wei Wei and Heyan Huang,IEEE Transactions on Knowledge and Data Engineering (TKDE), 2020, to appear. [Full Paper] (CCF A)
[AAAI 2020]: Are Noisy Sentences Useless for Distant Supervised Relation Extraction? Yu-Ming Shang, He-Yan Huang, Xian-Ling Mao, Xin Sun, Wei Wei,In: Proceedings of the 34thAAAI Conference on Artificial Intelligence (AAAI'20). Hilton New York Midtown, New York, USA. 2020, to appear. [Full Paper] (CCF A)
[CIKM 2019]: Emotion-aware Chat Machine: Automatic Emotional Response Generation for Human-like Emotional Interaction, Wei Wei, Jiayi Liu, Xianling Mao, Guibing Guo, Feida Zhu, Pan Zhou and Yuchong Hu, Proceedings of the 28th ACM International Conference on Information and Knowledge Management (CIKM'19), 2019. [Full Paper] (CCF B)
[ICDE 2018]：Deep Representation Learning for Trajectory Similarity Computation. Xiucheng Li, Kaiqi Zhao, Gao Cong, Christian S. Jensen, Wei Wei. In: Proceedings of the 34th IEEE International Conference on Data Engineering (ICDE'18), Paris, Fr, 2018. [Full Paper] (CCF A)
[TKDE]: Learning to Find Topic Experts in Twitter via Different Relations, Wei Wei, Gao Cong, Chunyan Miao, Feida Zhu and Guohui Li, IEEE Transactions on Knowledge and Data Engineering （TKDE） (IF = 3.438), 28(7):1764 -1778, 2016. (CCF A)
[TCYB]: A Ranking Approach on Large-Scale Graph with Multi-Dimensional Heterogeneous Information”, Wei Wei, Bin Gao, Tie-Yan Liu, Taifeng Wang, Guo-Hui Li and Hang Li, IEEE Transactions on Cybernetics （TCYB） (IF = 10.387), 46(4):930-944, 2016. (CCF B)
[Information Sciences]: Exploring Heterogeneous Features for Query-focused Summarization of Categorized Community Answers", Wei Wei, ZhaoYan Ming, Liqiang Nie, Guohui Li, Jianjun Li, Feida Zhu, Tianfeng Shang and Changyin Luo, Information Sciences (IF = 4.832), 330:403-423, 2016. (CCF B)
[TWEB]: Individual Judgments vs. Consensus: Estimating Query-URL Relevance", Hengjie Song, Yonghui Xu, Huaqing Min, Qingyao Wu, Wei Wei*, Jianshu Weng, Xiaogang Han, Qiang Yang, Jialiang Shi, Jiaqian Gu, Chunyan Miao and Nishida Toyoaki, ACM Transactions on the Web （TWEB） (IF = 1.526), 10(3), 2016. (CCF B)
[CIKM 2014]: Exploiting Geographical Neighborhood Characteristics for Location Recommendation”, Yong Liu, Wei Wei, Aixin Sun, Chunyan Miao, In: Proceedings of the 23thACM International Conference on Conference on Information and Knowledge Management (CIKM'14), ShangHai, China, pp. 739-748, 2014. (CCF B) [Full Paper, Oral]
“Context-Aware Personal Information Retrieval from Multiple Social Networks”, Xiaogang Han,Wei Wei*,Chunyan Miao, Jian-Ping Mei and Hengjie Song, IEEE Computational Intelligence Magazine (IF = 6.343), 9(2):18-28, 2014. (SCI)
[AAAI 2011]: Integrating Community Question and Answer Archives, Wei Wei, Gao Cong, Xiaoli Li, See-Kiong Ng and Guohui Li, In: Proceedings of the 25thAAAI Conference on Artificial Intelligence (AAAI'11), San Francisco, California, USA, pp. 1255-1260, 2011. (CCF A) [Full Paper, Oral]
[SIGKDD 2011]: Semi-supervised ranking on very large graphs with rich metadata,Bin Gao, Tie-Yan Liu, Wei Wei, Taifeng Wang and Hang Li, In: Proceedings of the 17th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (SIGKDD'11), San Diego, CA, USA, pp. 96-104, 2011. (CCF A) [Full Paper, Oral]