Weiwei Deng

According to our database, Weiwei Deng authored at least 64 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

A deep learning method for recommending university patents to industrial clusters by common technological needs mining.

Zhaobin Liu, Yongxiang Zhang, Weiwei Deng, Jian Ma, Xia Fan

Scientometrics, June, 2024

Token-level Proximal Policy Optimization for Query Generation.

Yichen Ouyang, Lu Wang, Fangkai Yang, Pu Zhao, Chenghua Huang, Jianfeng Liu, Bochen Pang, Yaming Yang, Yuefeng Zhan, Hao Sun, Qingwei Lin, Saravan Rajmohan, Weiwei Deng, Dongmei Zhang, Feng Sun, Qi Zhang

CoRR, 2024

When Graph meets Multimodal: Benchmarking on Multimodal Attributed Graphs Learning.

Hao Yan, Chaozhuo Li, Zhigang Yu, Jun Yin, Ruochen Liu, Peiyan Zhang, Weihao Han, Mingzheng Li, Zhengxin Zeng, Hao Sun, Weiwei Deng, Feng Sun, Qi Zhang, Senzhang Wang

CoRR, 2024

E5-V: Universal Embeddings with Multimodal Large Language Models.

Ting Jiang, Minghui Song, Zihan Zhang, Haizhen Huang, Weiwei Deng, Feng Sun, Qi Zhang, Deqing Wang, Fuzhen Zhuang

CoRR, 2024

ASI++: Towards Distributionally Balanced End-to-End Generative Retrieval.

Yuxuan Liu, Tianchi Yang, Zihan Zhang, Minghui Song, Haizhen Huang, Weiwei Deng, Feng Sun, Qi Zhang

CoRR, 2024

MoRA: High-Rank Updating for Parameter-Efficient Fine-Tuning.

Ting Jiang, Shaohan Huang, Shengyue Luo, Zihan Zhang, Haizhen Huang, Furu Wei, Weiwei Deng, Feng Sun, Qi Zhang, Deqing Wang, Fuzhen Zhuang

CoRR, 2024

Se²: Sequential Example Selection for In-Context Learning.

Haoyu Liu, Jianfeng Liu, Shaohan Huang, Yuefeng Zhan, Hao Sun, Weiwei Deng, Furu Wei, Qi Zhang

CoRR, 2024

Improving Domain Adaptation through Extended-Text Reading Comprehension.

Ting Jiang, Shaohan Huang, Shengyue Luo, Zihan Zhang, Haizhen Huang, Furu Wei, Weiwei Deng, Feng Sun, Qi Zhang, Deqing Wang, Fuzhen Zhuang

CoRR, 2024

OneSparse: A Unified System for Multi-index Vector Search.

Yaoqi Chen, Ruicheng Zheng, Qi Chen, Shuotao Xu, Qianxi Zhang, Xue Wu, Weihao Han, Hua Yuan, Mingqin Li, Yujing Wang, Jason Li, Fan Yang, Hao Sun, Weiwei Deng, Feng Sun, Qi Zhang, Mao Yang

Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

IRGen: Generative Modeling for Image Retrieval.

Yidan Zhang, Ting Zhang, Dong Chen, Yujing Wang, Qi Chen, Xing Xie, Hao Sun, Weiwei Deng, Qi Zhang, Fan Yang, Mao Yang, Qingmin Liao, Jingdong Wang, Baining Guo

Proceedings of the Computer Vision - ECCV 2024, 2024

Calibrating LLM-Based Evaluator.

Yuxuan Liu, Tianchi Yang, Shaohan Huang, Zihan Zhang, Haizhen Huang, Furu Wei, Weiwei Deng, Feng Sun, Qi Zhang

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

ResLoRA: Identity Residual Mapping in Low-Rank Adaption.

Shuhua Shi, Shaohan Huang, Minghui Song, Zhoujun Li, Zihan Zhang, Haizhen Huang, Furu Wei, Weiwei Deng, Feng Sun, Qi Zhang

Proceedings of the Findings of the Association for Computational Linguistics, 2024

HD-Eval: Aligning Large Language Model Evaluators Through Hierarchical Criteria Decomposition.

Yuxuan Liu, Tianchi Yang, Shaohan Huang, Zihan Zhang, Haizhen Huang, Furu Wei, Weiwei Deng, Feng Sun, Qi Zhang

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

Se²: Sequential Example Selection for In-Context Learning.

Haoyu Liu, Jianfeng Liu, Shaohan Huang, Yuefeng Zhan, Hao Sun, Weiwei Deng, Furu Wei, Qi Zhang

Proceedings of the Findings of the Association for Computational Linguistics, 2024

Text Diffusion with Reinforced Conditioning.

Yuxuan Liu, Tianchi Yang, Shaohan Huang, Zihan Zhang, Haizhen Huang, Furu Wei, Weiwei Deng, Feng Sun, Qi Zhang

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Leveraging heterogeneous information based on heterogeneous network and homophily theory for community recommendations.

Han Chen, Weiwei Deng

Electron. Commer. Res., December, 2023

Incorporating heterogeneous information in deep learning with informative meta-paths for community recommendations.

Weiwei Deng, Wei Du, Cong Han

J. Inf. Sci., October, 2023

Knowledge-aware sequence modelling with deep learning for online course recommendation.

Weiwei Deng, Peihu Zhu, Han Chen, Tao Yuan, Ji Wu

Inf. Process. Manag., 2023

IRGen: Generative Modeling for Image Retrieval.

Yidan Zhang, Ting Zhang, Dong Chen, Yujing Wang, Qi Chen, Xing Xie, Hao Sun, Weiwei Deng, Qi Zhang, Fan Yang, Mao Yang, Qingmin Liao, Baining Guo

CoRR, 2023

MSRN-Informer: Time Series Prediction Model Based on Multi-Scale Residual Network.

Xiaohui Wang, Mengchen Xia, Weiwei Deng

IEEE Access, 2023

Multi-Grained Topological Pre-Training of Language Models in Sponsored Search.

Zhoujin Tian, Chaozhuo Li, Zhiqiang Zuo, Zengxuan Wen, Xinyue Hu, Xiao Han, Haizhen Huang, Senzhang Wang, Weiwei Deng, Xing Xie, Qi Zhang

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

A Dual-view Attention Neural Network for Assigning Industrial Categories to Academic Patents.

Zhaobin Liu, Weiwei Deng, Peihu Zhu, Wei Du, Jian Ma

Proceedings of the 27th Pacific Asia Conference on Information Systems, 2023

Model-enhanced Vector Index.

Hailin Zhang, Yujing Wang, Qi Chen, Ruiheng Chang, Ting Zhang, Ziming Miao, Yingyan Hou, Yang Ding, Xupeng Miao, Haonan Wang, Bochen Pang, Yuefeng Zhan, Hao Sun, Weiwei Deng, Qi Zhang, Fan Yang, Xing Xie, Mao Yang, Bin Cui

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

A Comprehensive Study on Text-attributed Graphs: Benchmarking and Rethinking.

Hao Yan, Chaozhuo Li, Ruosong Long, Chao Yan, Jianan Zhao, Wenwen Zhuang, Jun Yin, Peiyan Zhang, Weihao Han, Hao Sun, Weiwei Deng, Qi Zhang, Lichao Sun, Xing Xie, Senzhang Wang

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

BERT4CTR: An Efficient Framework to Combine Pre-trained Language Model with Non-textual Features for CTR Prediction.

Dong Wang, Kavé Salamatian, Yunqing Xia, Weiwei Deng, Qi Zhang

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

PASS: Personalized Advertiser-aware Sponsored Search.

Zhoujin Tian, Chaozhuo Li, Zhiqiang Zuo, Zengxuan Wen, Lichao Sun, Xinyue Hu, Wen Zhang, Haizhen Huang, Senzhang Wang, Weiwei Deng, Xing Xie, Qi Zhang

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Constraint-aware and Ranking-distilled Token Pruning for Efficient Transformer Inference.

Junyan Li, Li Lyna Zhang, Jiahang Xu, Yujing Wang, Shaoguang Yan, Yunqing Xia, Yuqing Yang, Ting Cao, Hao Sun, Weiwei Deng, Qi Zhang, Mao Yang

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

VL-Match: Enhancing Vision-Language Pretraining with Token-Level and Instance-Level Matching.

Junyu Bi, Daixuan Cheng, Ping Yao, Bochen Pang, Yuefeng Zhan, Chuanguang Yang, Yujing Wang, Hao Sun, Weiwei Deng, Qi Zhang

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Auto Search Indexer for End-to-End Document Retrieval.

Tianchi Yang, Minghui Song, Zihan Zhang, Haizhen Huang, Weiwei Deng, Feng Sun, Qi Zhang

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Democratizing Reasoning Ability: Tailored Learning from Large Language Model.

Zhaoyang Wang, Shaohan Huang, Yuxuan Liu, Jiahai Wang, Minghui Song, Zihan Zhang, Haizhen Huang, Furu Wei, Weiwei Deng, Feng Sun, Qi Zhang

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

UPRISE: Universal Prompt Retrieval for Improving Zero-Shot Evaluation.

Daixuan Cheng, Shaohan Huang, Junyu Bi, Yuefeng Zhan, Jianfeng Liu, Yujing Wang, Hao Sun, Furu Wei, Weiwei Deng, Qi Zhang

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Towards Better Entity Linking with Multi-View Enhanced Distillation.

Yi Liu, Yuan Tian, Jianxun Lian, Xinlong Wang, Yanan Cao, Fang Fang, Wen Zhang, Haizhen Huang, Weiwei Deng, Qi Zhang

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Dual-Alignment Pre-training for Cross-lingual Sentence Embedding.

Ziheng Li, Shaohan Huang, Zihan Zhang, Zhi-Hong Deng, Qiang Lou, Haizhen Huang, Jian Jiao, Furu Wei, Weiwei Deng, Qi Zhang

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Pre-training Language Model as a Multi-perspective Course Learner.

Beiduo Chen, Shaohan Huang, Zihan Zhang, Wu Guo, Zhenhua Ling, Haizhen Huang, Furu Wei, Weiwei Deng, Qi Zhang

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

To Copy Rather Than Memorize: A Vertical Learning Paradigm for Knowledge Graph Completion.

Rui Li, Xu Chen, Chaozhuo Li, Yanming Shen, Jianan Zhao, Yujing Wang, Weihao Han, Hao Sun, Weiwei Deng, Qi Zhang, Xing Xie

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022

STEAC: Towards secure, traceable, and efficient cryptographic access control scheme in smart healthcare.

Weiwei Deng, Tao Xiang, Xiaofeng Liao

Multim. Tools Appl., 2022

Doctor recommendation on healthcare consultation platforms: an integrated framework of knowledge graph and deep learning.

Hui Yuan, Weiwei Deng

Internet Res., 2022

A knowledge graph approach for recommending patents to companies.

Weiwei Deng, Jian Ma

Electron. Commer. Res., 2022

Leveraging consumer behaviors for product recommendation: an approach based on heterogeneous network.

Weiwei Deng

Electron. Commer. Res., 2022

A Neural Corpus Indexer for Document Retrieval.

Yujing Wang, Yingyan Hou, Haonan Wang, Ziming Miao, Shibin Wu, Hao Sun, Qi Chen, Yuqing Xia, Chengmin Chi, Guoshuai Zhao, Zheng Liu, Xing Xie, Hao Allen Sun, Weiwei Deng, Qi Zhang, Mao Yang

CoRR, 2022

Geometric Disentangled Collaborative Filtering.

Yiding Zhang, Chaozhuo Li, Xing Xie, Xiao Wang, Chuan Shi, Yuming Liu, Hao Sun, Liangjie Zhang, Weiwei Deng, Qi Zhang

Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

A Neural Corpus Indexer for Document Retrieval.

Yujing Wang, Yingyan Hou, Haonan Wang, Ziming Miao, Shibin Wu, Qi Chen, Yuqing Xia, Chengmin Chi, Guoshuai Zhao, Zheng Liu, Xing Xie, Hao Sun, Weiwei Deng, Qi Zhang, Mao Yang

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

AdsCVLR: Commercial Visual-Linguistic Representation Modeling in Sponsored Search.

Yongjie Zhu, Chunhui Han, Yuefeng Zhan, Bochen Pang, Zhaoju Li, Hao Sun, Si Li, Boxin Shi, Nan Duan, Weiwei Deng, Ruofei Zhang, Liangjie Zhang, Qi Zhang

Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

Uni-Retriever: Towards Learning the Unified Embedding Based Retriever in Bing Sponsored Search.

Jianjin Zhang, Zheng Liu, Weihao Han, Shitao Xiao, Ruicheng Zheng, Yingxia Shao, Hao Sun, Hanqing Zhu, Premkumar Srinivasan, Weiwei Deng, Qi Zhang, Xing Xie

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Learning Supplementary NLP Features for CTR Prediction in Sponsored Search.

Dong Wang, Shaoguang Yan, Yunqing Xia, Kavé Salamatian, Weiwei Deng, Qi Zhang

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Improving Relevance Modeling via Heterogeneous Behavior Graph Learning in Bing Ads.

Bochen Pang, Chaozhuo Li, Yuming Liu, Jianxun Lian, Jianan Zhao, Hao Sun, Weiwei Deng, Xing Xie, Qi Zhang

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

HousE: Knowledge Graph Embedding with Householder Parameterization.

Rui Li, Jianan Zhao, Chaozhuo Li, Di He, Yiqi Wang, Yuming Liu, Hao Sun, Senzhang Wang, Weiwei Deng, Yanming Shen, Xing Xie, Qi Zhang

Proceedings of the International Conference on Machine Learning, 2022

2021

Smoothing inertial neurodynamic approach for sparse signal reconstruction via Lp-norm minimization.

You Zhao, Xiaofeng Liao, Xing He, Rongqiang Tang, Weiwei Deng

Neural Networks, 2021

2020

TIMCC: On Data Freshness in Privacy-Preserving Incentive Mechanism Design for Continuous Crowdsensing Using Reverse Auction.

Xiaoqiang Ma, Weiwei Deng, Feng Wang, Menglan Hu, Fei Chen, Mohammad Mehedi Hassan

IEEE Access, 2020

Analysis of topics, theories, and methods of information systems research in the past two decades: A knowledge graph approach.

Weiwei Deng, Xiaoming Huang, Hui Yuan, Jian Ma, Gang Wang

Proceedings of the 24th Pacific Asia Conference on Information Systems, 2020

2019

An adjustable re-ranking approach for improving the individual and aggregate diversities of product recommendations.

Qi Wang, Jijun Yu, Weiwei Deng

Electron. Commer. Res., 2019

Facilitating Technology Transfer by Patent Knowledge Graph.

Weiwei Deng, Xiaoming Huang, Peihu Zhu

Proceedings of the 52nd Hawaii International Conference on System Sciences, 2019

Does Social Media Adoption Reduce Overuse of Medical Resource: The Case of High-Cost Tests.

Xinyu Zhu, Ruidong Zhao, Mohan Tanniru, Weiwei Deng

Proceedings of the 25th Americas Conference on Information Systems, 2019

2018

MLNMF: multi-label learning based on non-negative matrix factorisation.

Yu Han, Cheng Shao, ShouTao Yang, Weiwei Deng

Int. J. Model. Identif. Control., 2018

Ad Click Prediction in Sequence with Long Short-Term Memory Networks: an Externality-aware Model.

Weiwei Deng, Xiaoliang Ling, Yang Qi, Tunzi Tan, Eren Manavoglu, Qi Zhang

Proceedings of the 41st International ACM SIGIR Conference on Research & Development in Information Retrieval, 2018

When Less is More: Effect of Group Size on Profit of Online Advertising Communities.

Peihu Zhu, Weiwei Deng

Proceedings of the 22nd Pacific Asia Conference on Information Systems, 2018

Enhancing group recommendation by knowledge graph.

Weiwei Deng, Peihu Zhu, Jian Ma

Proceedings of the 22nd Pacific Asia Conference on Information Systems, 2018

2017

Progressive Line Processing of Kernel RX Anomaly Detection Algorithm for Hyperspectral Imagery.

Chunhui Zhao, Weiwei Deng, Yiming Yan, Xi-Feng Yao

Sensors, 2017

Model Ensemble for Click Prediction in Bing Search Ads.

Xiaoliang Ling, Weiwei Deng, Chen Gu, Hucheng Zhou, Cui Li, Feng Sun

Proceedings of the 26th International Conference on World Wide Web Companion, 2017

Leveraging Heterogeneous Information Network for Community Recommendation.

Weiwei Deng, Jian Ma

Proceedings of the International Conference on Information Systems, 2017

Connecting Researchers with Companies for University-Industry Collaboration.

Qi Wang, Jian Ma, Xiuwu Liao, Weiwei Deng, Mingyu Zhang

Proceedings of the 50th Hawaii International Conference on System Sciences, 2017

2015

The B⁺-tree-based method for nearest neighbour queries in traffic simulation systems.

Zhu Song, Shijie Zhou, Jiaqing Luo, Weiwei Deng

Int. J. High Perform. Comput. Netw., 2015

Mobile Application Recommendations Based on Complex Information.

Shuotao Yang, Hong Yu, Weiwei Deng, Xiaochen Lai

Proceedings of the Current Approaches in Applied Artificial Intelligence, 2015

2013

ARNS: Adaptive RFID Network Scheduling for Device-Free Tracking.

Lijun Sun, Shijie Zhou, Jiaqing Luo, Yuehan Zhang, Mengjie Zhang, Weiwei Deng

Proceedings of the IEEE 9th International Conference on Mobile Ad-hoc and Sensor Networks, 2013