Daifeng Li - RankMe

48 papers A* 3A 4B 2C 2Journal 33Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	AREAL-DTA: Dynamic Tree Attention for Efficient Reinforcement Learning of Large Language Models. CoRR Jiarui Zhang, Yuchen Yang, Ran Yan, Zhiyu Mei, Liyuan Zhang, Daifeng Li, Wei Fu, Jiaxuan Gao, Shusheng Xu, Yi Wu, Binhang Yuan
2025	B	`conf`	AdaptiveWatermark: Dynamic Watermarking for Large Language Models with Agent. TrustCom Qingze Peng, Daifeng Li
2025	J	`jnl`	Can Competition Enhance the Proficiency of Agents Powered by Large Language Models in the Realm of News-driven Time Series Forecasting? CoRR Yuxuan Zhang, Yangyang Feng, Daifeng Li, Kexin Zhang, Junlan Chen, Bowen Deng
2025	J	`jnl`	Improved session recommendation using contrastive learning based tail adjusted repeat aware graph neural network. Comput. Sci. Inf. Syst. Daifeng Li, Tianjunzi Tian, Zhaohui Huang, Xiaowen Lin, Dingquan Chen, Andrew D. Madden
2025	A	`conf`	LLM-Enhanced Generalized Category Discovery via Iterative Graph Diffusion. CIKM Kangjia Fan, Yilong Zhao, Daifeng Li, Changze Lin, Weijun Zhang, Zhiwen Zhong
2025	J	`jnl`	Structuring Scientific Innovation: A Framework for Modeling and Discovering Impactful Knowledge Combinations. CoRR Junlan Chen, Kexin Zhang, Daifeng Li, Yangyang Feng, Yuxuan Zhang, Bowen Deng
2025	J	`jnl`	Two-way Evidence self-Alignment based Dual-Gated Reasoning Enhancement. CoRR Kexin Zhang, Junlan Chen, Daifeng Li, Yuxuan Zhang, Yangyang Feng, Bowen Deng, Weixu Chen
2024	J	`jnl`	A Large Language Model-based Framework for Semi-Structured Tender Document Retrieval-Augmented Generation. CoRR Yilong Zhao, Daifeng Li
2024	A*	`conf`	Mirror Gradient: Towards Robust Multimodal Recommender Systems via Exploring Flat Local Minima. WWW Shanshan Zhong, Zhongzhan Huang, Daifeng Li, Wushao Wen, Jinghui Qin, Liang Lin
2024	J	`jnl`	Mirror Gradient: Towards Robust Multimodal Recommender Systems via Exploring Flat Local Minima. CoRR Shanshan Zhong, Zhongzhan Huang, Daifeng Li, Wushao Wen, Jinghui Qin, Liang Lin
2024	J	`jnl`	Synergizing Knowledge Graphs with Large Language Models: A Comprehensive Review and Future Prospects. CoRR Daifeng Li, Fan Xu
2023	J	`jnl`	A Universality-Distinction Mechanism-Based Multi-Step Sales Forecasting for Sales Prediction and Inventory Optimization. Syst. Daifeng Li, Xin Li, Fengyun Gu, Ziyang Pan, Dingquan Chen, Andrew D. Madden
2023	J	`jnl`	A multiple long short-term model for product sales forecasting based on stage future vision with prior knowledge. Inf. Sci. Daifeng Li, Xuting Li, Kaixin Lin, Jianbin Liao, Ruo Du, Wei Lu, Andrew D. Madden
2023	A*	`conf`	Double Policy Network for Aspect Sentiment Triplet Extraction (Student Abstract). AAAI Xuting Li, Daifeng Li, Ruo Du, Dingquan Chen, Andrew D. Madden
2023	J	`jnl`	Dynamic sales prediction with auto-learning and elastic-adjustment mechanism for inventory optimization. Inf. Syst. Daifeng Li, Fengyun Gu, Xin Li, Ruo Du, Dingquan Chen, Andrew D. Madden
2022	A*	`conf`	CEM: Machine-Human Chatting Handoff via Causal-Enhance Module. EMNLP Shanshan Zhong, Jinghui Qin, Zhongzhan Huang, Daifeng Li
2022	J	`jnl`	Causal Inference for Chatting Handoff. CoRR Shanshan Zhong, Jinghui Qin, Zhongzhan Huang, Daifeng Li
2022	J	`jnl`	Critical Obstacles Affecting Adoption of Industrial Big Data Solutions in Smart Factories: An Empirical Study in China. J. Glob. Inf. Manag. Fei Xing, Guochao Peng, Jia Wang, Daifeng Li
2022	J	`jnl`	Improved sales time series predictions using deep neural networks with spatiotemporal dynamic pattern acquisition mechanism. Inf. Process. Manag. Daifeng Li, Kaixin Lin, Xuting Li, Jianbin Liao, Ruo Du, Dingquan Chen, Andrew D. Madden
2022	J	`jnl`	Pandemics are catalysts of scientific novelty: Evidence from COVID-19. J. Assoc. Inf. Sci. Technol. Meijun Liu, Yi Bu, Chongyan Chen, Jian Xu, Daifeng Li, Yan Leng, Richard B. Freeman, Eric T. Meyer, Wonjin Yoon, Mujeen Sung, Minbyul Jeong, Jinhyuk Lee, Jaewoo Kang, Chao Min, Min Song, Yujia Zhai, Ying Ding
2022	J	`jnl`	Reply to issues about entitymetrics and paper-entity citation network. Scientometrics Qi Yu, Qi Wang, Yafei Zhang, Chongyan Chen, Hyeyoung Ryu, Namu Park, Jae-Eun Baek, Keyuan Li, Yifei Wu, Daifeng Li, Jian Xu, Meijun Liu, Jeremy J. Yang, Chenwei Zhang, Chao Lu, Peng Zhang, Xin Li, Baitong Chen, Islam Akef Ebeid, Julia Fensel, Chao Min, Yujia Zhai, Min Song, Ying Ding, Yi Bu
2021	—	`conf`	AB-ALSTM Model for Autism Early Warning Based on Behavioral Characteristics. ICMLSC Shanshan Zhong, Jiaye Lin, Dayu Huang, Manning Lu, Daifeng Li
2021	J	`jnl`	Analyzing knowledge entities about COVID-19 using entitymetrics. Scientometrics Qi Yu, Qi Wang, Yafei Zhang, Chongyan Chen, Hyeyoung Ryu, Namu Park, Jae-Eun Baek, Keyuan Li, Yifei Wu, Daifeng Li, Jian Xu, Meijun Liu, Jeremy J. Yang, Chenwei Zhang, Chao Lu, Peng Zhang, Xin Li, Baitong Chen, Islam Akef Ebeid, Julia Fensel, Chao Min, Yujia Zhai, Min Song, Ying Ding, Yi Bu
2020	J	`jnl`	Attribute2vec: Deep Network Embedding Through Multi-Filtering GCN. CoRR Tingyi Wanyan, Chenwei Zhang, Ariful Azad, Xiaomin Liang, Daifeng Li, Ying Ding
2020	A	`conf`	Attributed Network Embedding based on Mutual Information Estimation. CIKM Xiaomin Liang, Daifeng Li, Andrew D. Madden
2020	J	`jnl`	Building a PubMed knowledge graph. CoRR Jian Xu, Sunkyu Kim, Min Song, Minbyul Jeong, Donghyeon Kim, Jaewoo Kang, Justin F. Rousseau, Xin Li, Weijia Xu, Vetle I. Torvik, Yi Bu, Chongyan Chen, Islam Akef Ebeid, Daifeng Li, Ying Ding
2020	J	`jnl`	Can pandemics transform scientific novelty? Evidence from COVID-19. CoRR Meijun Liu, Yi Bu, Chongyan Chen, Jian Xu, Daifeng Li, Yan Leng, Richard Barry Freeman, Eric Meyer, Wonjin Yoon, Mujeen Sung, Minbyul Jeong, Jinhyuk Lee, Jaewoo Kang, Min Song, Yujia Zhai, Ying Ding
2020	J	`jnl`	FSRM-STS: Cross-dataset pedestrian retrieval based on a four-stage retrieval model with Selection-Translation-Selection. Future Gener. Comput. Syst. Daifeng Li, Lu Huang, Biyun Ye, Fangbin Wan, Andrew D. Madden, Xingjian Liang
2020	—	`conf`	Multi-data Fusion Based Marketing Prediction of Listed Enterprise Using MS-LSTM Model. ACAI Ziyang Pan, Zhishan Huang, Xiaowen Lin, Songxia Li, Huanze Zeng, Daifeng Li
2019	J	`jnl`	Analyzing stock market trends using social media user moods and social influence. J. Assoc. Inf. Sci. Technol. Daifeng Li, Yintian Wang, Andrew D. Madden, Ying Ding, Jie Tang, Gordon Guo-Zheng Sun, Ning Zhang, Enguo Zhou
2019	J	`jnl`	Cascade embedding model for knowledge graph inference and retrieval. Inf. Process. Manag. Daifeng Li, Andrew D. Madden
2019	—	`conf`	Modeling Adoption Behavior for Innovation Diffusion. iConference Enguo Zhou, Daifeng Li, Andrew D. Madden, Yongsheng Chen, Ying Ding, Qi Kang, Huanning Su
2018	J	`jnl`	Modelling online user behavior for medical knowledge learning. Ind. Manag. Data Syst. Daifeng Li, Andrew D. Madden, Chaochun Liu, Ying Ding, Liwei Qian, Enguo Zhou
2017	J	`jnl`	User-level microblogging recommendation incorporating social influence. J. Assoc. Inf. Sci. Technol. Daifeng Li, Zhipeng Luo, Ying Ding, Jie Tang, Gordon Guo-Zheng Sun, Xiaowen Dai, John Du, Jingwei Zhang, Shoubin Kong
2016	C	`conf`	A Continuous Self-Checking Validation Framework on Processor Exceptions. ISPDC Jian Tan, Daifeng Li
2015	J	`jnl`	Topic-level opinion influence model (TOIM): An investigation using tencent microblogging. J. Assoc. Inf. Sci. Technol. Daifeng Li, Jie Tang, Ying Ding, Xin Shuai, Tamy Chambers, Gordon Guo-Zheng Sun, Zhipeng Luo, Jingwei Zhang
2012	J	`jnl`	Adding community and dynamic to topic models. J. Informetrics Daifeng Li, Ying Ding, Xin Shuai, Johan Bollen, Jie Tang, Shanshan Chen, Jiayi Zhu, Guilherme Rocha
2012	A	`conf`	Mining topic-level opinion influence in microblog. CIKM Daifeng Li, Xin Shuai, Gordon Guo-Zheng Sun, Jie Tang, Ying Ding, Zhipeng Luo
2012	J	`jnl`	The dynamic features of Delicious, Flickr, and YouTube. J. Assoc. Inf. Sci. Technol. Nan Lin, Daifeng Li, Ying Ding, Bing He, Zheng Qin, Jie Tang, Juanzi Li, Tianxi Dong
2012	J	`jnl`	Topic-Level Opinion Influence Model(TOIM): An Investigation Using Tencent Micro-Blogging CoRR Daifeng Li, Ying Ding, Xin Shuai, Golden Guo-Zheng Sun, Jie Tang, Zhipeng Luo, Jingwei Zhang, Guo Zhang
2012	J	`jnl`	User-level Weibo Recommendation incorporating Social Influence based on Semi-Supervised Algorithm CoRR Daifeng Li, Zhipeng Luo, Golden Guo-Zheng Sun, Jie Tang, Jingwei Zhang
2012	J	`jnl`	What is the Nature of Tencent Weibo: Detect the Unique Features of Tencent Users CoRR Daifeng Li, Jingwei Zhang, Gordon Guo-Zheng Sun, Jie Tang, Ying Ding, Zhipeng Luo
2011	J	`jnl`	Modeling topic and community structure in social tagging: The TTR-LDA-Community model. J. Assoc. Inf. Sci. Technol. Daifeng Li, Ying Ding, Cassidy R. Sugimoto, Bing He, Jie Tang, Erjia Yan, Nan Lin, Zheng Qin, Tianxi Dong
2011	J	`jnl`	The shifting sands of disciplinary development: Analyzing North American Library and Information Science dissertations using latent Dirichlet allocation. J. Assoc. Inf. Sci. Technol. Cassidy R. Sugimoto, Daifeng Li, Terrell G. Russell, S. Craig Finlay, Ying Ding
2010	A	`conf`	Community-based topic modeling for social tagging. CIKM Daifeng Li, Bing He, Ying Ding, Jie Tang, Cassidy R. Sugimoto, Zheng Qin, Erjia Yan, Juanzi Li, Tianxi Dong
2010	B	`conf`	Dynamic Features of Social Tagging Vocabulary: Delicious, Flickr and YouTube. ASONAM Daifeng Li, Ying Ding, Zheng Qin, Stasa Milojevic, Bing He, Erjia Yan, Tianxi Dong
2010	—	`conf`	Semantic Web Portal: A Platform for Better Browsing and Visualizing Semantic Data. AMT Ying Ding, Yuyin Sun, Bin Chen, Katy Börner, Li Ding, David J. Wild, Melanie Wu, Dominic DiFranzo, Alvaro Graves Fuenzalida, Daifeng Li
2009	C	`conf`	The Application Research of e-Government Procurement in China Based on Business Component Framework. ICDS Zheng Qin, Daifeng Li