Daifeng Li

According to our database, Daifeng Li authored at least 47 papers between 2009 and 2026.

Collaborative distances:

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

2026

ARGUS: Agentic GPU Optimization Guided by Data-Flow Invariants.

Haohui Mai, Xiaoyan Guo, Xiangyun Ding, Daifeng Li, Qiuchu Yu, Chenzhun Guo, Cong Wang, Jiacheng Zhao, Christos Kozyrakis, Binhang Yuan

CoRR, April, 2026

AREAL-DTA: Dynamic Tree Attention for Efficient Reinforcement Learning of Large Language Models.

Jiarui Zhang, Yuchen Yang, Ran Yan, Zhiyu Mei, Liyuan Zhang, Daifeng Li, Wei Fu, Jiaxuan Gao, Shusheng Xu, Yi Wu, Binhang Yuan

CoRR, February, 2026

2025

Two-way Evidence self-Alignment based Dual-Gated Reasoning Enhancement.

Kexin Zhang, Junlan Chen, Daifeng Li, Yuxuan Zhang, Yangyang Feng, Bowen Deng, Weixu Chen

CoRR, May, 2025

Can Competition Enhance the Proficiency of Agents Powered by Large Language Models in the Realm of News-driven Time Series Forecasting?

Yuxuan Zhang, Yangyang Feng, Daifeng Li, Kexin Zhang, Junlan Chen, Bowen Deng

CoRR, April, 2025

Structuring Scientific Innovation: A Framework for Modeling and Discovering Impactful Knowledge Combinations.

Junlan Chen, Kexin Zhang, Daifeng Li, Yangyang Feng, Yuxuan Zhang, Bowen Deng

CoRR, March, 2025

Improved session recommendation using contrastive learning based tail adjusted repeat aware graph neural network.

Daifeng Li, Tianjunzi Tian, Zhaohui Huang, Xiaowen Lin, Dingquan Chen, Andrew D. Madden

Comput. Sci. Inf. Syst., 2025

AdaptiveWatermark: Dynamic Watermarking for Large Language Models with Agent.

Qingze Peng, Daifeng Li

Proceedings of the 24th IEEE International Conference on Trust, 2025

LLM-Enhanced Generalized Category Discovery via Iterative Graph Diffusion.

Kangjia Fan, Yilong Zhao, Daifeng Li, Changze Lin, Weijun Zhang, Zhiwen Zhong

Proceedings of the 34th ACM International Conference on Information and Knowledge Management, 2025

2024

A Large Language Model-based Framework for Semi-Structured Tender Document Retrieval-Augmented Generation.

Yilong Zhao, Daifeng Li

CoRR, 2024

Mirror Gradient: Towards Robust Multimodal Recommender Systems via Exploring Flat Local Minima.

Shanshan Zhong, Zhongzhan Huang, Daifeng Li, Wushao Wen, Jinghui Qin, Liang Lin

Proceedings of the ACM on Web Conference 2024, 2024

2023

Dynamic sales prediction with auto-learning and elastic-adjustment mechanism for inventory optimization.

Daifeng Li, Fengyun Gu, Xin Li, Ruo Du, Dingquan Chen, Andrew D. Madden

Inf. Syst., October, 2023

A multiple long short-term model for product sales forecasting based on stage future vision with prior knowledge.

Daifeng Li, Xuting Li, Kaixin Lin, Jianbin Liao, Ruo Du, Wei Lu, Andrew D. Madden

Inf. Sci., May, 2023

A Universality-Distinction Mechanism-Based Multi-Step Sales Forecasting for Sales Prediction and Inventory Optimization.

Daifeng Li, Xin Li, Fengyun Gu, Ziyang Pan, Dingquan Chen, Andrew D. Madden

Syst., 2023

Double Policy Network for Aspect Sentiment Triplet Extraction (Student Abstract).

Xuting Li, Daifeng Li, Ruo Du, Dingquan Chen, Andrew D. Madden

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Reply to issues about entitymetrics and paper-entity citation network.

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

Scientometrics, 2022

Critical Obstacles Affecting Adoption of Industrial Big Data Solutions in Smart Factories: An Empirical Study in China.

Fei Xing, Guochao Peng, Jia Wang, Daifeng Li

J. Glob. Inf. Manag., 2022

Pandemics are catalysts of scientific novelty: Evidence from COVID-19.

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

J. Assoc. Inf. Sci. Technol., 2022

Improved sales time series predictions using deep neural networks with spatiotemporal dynamic pattern acquisition mechanism.

Daifeng Li, Kaixin Lin, Xuting Li, Jianbin Liao, Ruo Du, Dingquan Chen, Andrew D. Madden

Inf. Process. Manag., 2022

Causal Inference for Chatting Handoff.

ShanShan Zhong, Jinghui Qin, Zhongzhan Huang, Daifeng Li

CoRR, 2022

CEM: Machine-Human Chatting Handoff via Causal-Enhance Module.

ShanShan Zhong, Jinghui Qin, Zhongzhan Huang, Daifeng Li

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

2021

Analyzing knowledge entities about COVID-19 using entitymetrics.

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

Scientometrics, 2021

AB-ALSTM Model for Autism Early Warning Based on Behavioral Characteristics.

ShanShan Zhong, Jiaye Lin, Dayu Huang, Manning Lu, Daifeng Li

Proceedings of the ICMLSC '21: 2021 The 5th International Conference on Machine Learning and Soft Computing, 2021

2020

FSRM-STS: Cross-dataset pedestrian retrieval based on a four-stage retrieval model with Selection-Translation-Selection.

Daifeng Li, Lu Huang, Biyun Ye, Fangbin Wan, Andrew D. Madden, Xingjian Liang

Future Gener. Comput. Syst., 2020

Can pandemics transform scientific novelty? Evidence from COVID-19.

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

CoRR, 2020

Building a PubMed knowledge graph.

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

CoRR, 2020

Attribute2vec: Deep Network Embedding Through Multi-Filtering GCN.

Tingyi Wanyan, Chenwei Zhang, Ariful Azad, Xiaomin Liang, Daifeng Li, Ying Ding

CoRR, 2020

Attributed Network Embedding based on Mutual Information Estimation.

Xiaomin Liang, Daifeng Li, Andrew D. Madden

Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

Multi-data Fusion Based Marketing Prediction of Listed Enterprise Using MS-LSTM Model.

Ziyang Pan, Zhishan Huang, Xiaowen Lin, Songxia Li, Huanze Zeng, Daifeng Li

Proceedings of the ACAI 2020: 3rd International Conference on Algorithms, 2020

2019

Analyzing stock market trends using social media user moods and social influence.

Daifeng Li, Yintian Wang, Andrew D. Madden, Ying Ding, Jie Tang, Gordon Guo-Zheng Sun, Ning Zhang, Enguo Zhou

J. Assoc. Inf. Sci. Technol., 2019

Cascade embedding model for knowledge graph inference and retrieval.

Daifeng Li, Andrew D. Madden

Inf. Process. Manag., 2019

Modeling Adoption Behavior for Innovation Diffusion.

Enguo Zhou, Daifeng Li, Andrew D. Madden, Yongsheng Chen, Ying Ding, Qi Kang, Huanning Su

Proceedings of the Information in Contemporary Society - 14th International Conference, 2019

2018

Modelling online user behavior for medical knowledge learning.

Daifeng Li, Andrew D. Madden, Chaochun Liu, Ying Ding, Liwei Qian, Enguo Zhou

Ind. Manag. Data Syst., 2018

2017

User-level microblogging recommendation incorporating social influence.

Daifeng Li, Zhipeng Luo, Ying Ding, Jie Tang, Gordon Guo-Zheng Sun, Xiaowen Dai, John Du, Jingwei Zhang, Shoubin Kong

J. Assoc. Inf. Sci. Technol., 2017

2016

A Continuous Self-Checking Validation Framework on Processor Exceptions.

Jian Tan, Daifeng Li

Proceedings of the 15th International Symposium on Parallel and Distributed Computing, 2016

2015

Topic-level opinion influence model (TOIM): An investigation using tencent microblogging.

Daifeng Li, Jie Tang, Ying Ding, Xin Shuai, Tamy Chambers, Gordon Guo-Zheng Sun, Zhipeng Luo, Jingwei Zhang

J. Assoc. Inf. Sci. Technol., 2015

2012

Adding community and dynamic to topic models.

Daifeng Li, Ying Ding, Xin Shuai, Johan Bollen, Jie Tang, Shanshan Chen, Jiayi Zhu, Guilherme Rocha

J. Informetrics, 2012

The dynamic features of Delicious, Flickr, and YouTube.

Nan Lin, Daifeng Li, Ying Ding, Bing He, Zheng Qin, Jie Tang, Juanzi Li, Tianxi Dong

J. Assoc. Inf. Sci. Technol., 2012

What is the Nature of Tencent Weibo: Detect the Unique Features of Tencent Users

Daifeng Li, Jingwei Zhang, Gordon Guo-Zheng Sun, Jie Tang, Ying Ding, Zhipeng Luo

CoRR, 2012

User-level Weibo Recommendation incorporating Social Influence based on Semi-Supervised Algorithm

Daifeng Li, Zhipeng Luo, Golden Guo-Zheng Sun, Jie Tang, Jingwei Zhang

CoRR, 2012

Topic-Level Opinion Influence Model(TOIM): An Investigation Using Tencent Micro-Blogging

Daifeng Li, Ying Ding, Xin Shuai, Golden Guo-Zheng Sun, Jie Tang, Zhipeng Luo, Jingwei Zhang, Guo Zhang

CoRR, 2012

Mining topic-level opinion influence in microblog.

Daifeng Li, Xin Shuai, Gordon Guo-Zheng Sun, Jie Tang, Ying Ding, Zhipeng Luo

Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012

2011

The shifting sands of disciplinary development: Analyzing North American Library and Information Science dissertations using latent Dirichlet allocation.

Cassidy R. Sugimoto, Daifeng Li, Terrell G. Russell, S. Craig Finlay, Ying Ding

J. Assoc. Inf. Sci. Technol., 2011

Modeling topic and community structure in social tagging: The TTR-LDA-Community model.

Daifeng Li, Ying Ding, Cassidy R. Sugimoto, Bing He, Jie Tang, Erjia Yan, Nan Lin, Zheng Qin, Tianxi Dong

J. Assoc. Inf. Sci. Technol., 2011

2010

Community-based topic modeling for social tagging.

Daifeng Li, Bing He, Ying Ding, Jie Tang, Cassidy R. Sugimoto, Zheng Qin, Erjia Yan, Juanzi Li, Tianxi Dong

Proceedings of the 19th ACM Conference on Information and Knowledge Management, 2010

Dynamic Features of Social Tagging Vocabulary: Delicious, Flickr and YouTube.

Daifeng Li, Ying Ding, Zheng Qin, Stasa Milojevic, Bing He, Erjia Yan, Tianxi Dong

Proceedings of the International Conference on Advances in Social Networks Analysis and Mining, 2010

Semantic Web Portal: A Platform for Better Browsing and Visualizing Semantic Data.

Ying Ding, Yuyin Sun, Bin Chen, Katy Börner, Li Ding, David J. Wild, Melanie Wu, Dominic DiFranzo, Alvaro Graves Fuenzalida, Daifeng Li

Proceedings of the Active Media Technology, 6th International Conference, 2010

2009

The Application Research of e-Government Procurement in China Based on Business Component Framework.

Zheng Qin, Daifeng Li

Proceedings of the Third International Conference on the Digital Society (ICDS 2009), 2009