Shuaiqiang Wang

According to our database, Shuaiqiang Wang authored at least 97 papers between 2007 and 2024.

Collaborative distances:

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

2024

Towards Flexible and Adaptive Neural Process for Cold-Start Recommendation.

Xixun Lin, Chuan Zhou, Jia Wu, Lixin Zou, Shirui Pan, Yanan Cao, Bin Wang, Shuaiqiang Wang, Dawei Yin

IEEE Trans. Knowl. Data Eng., April, 2024

A Simple yet Effective Framework for Active Learning to Rank.

Qingzhong Wang, Haifang Li, Haoyi Xiong, Wen Wang, Jiang Bian, Yu Lu, Shuaiqiang Wang, Zhicong Cheng, Dejing Dou, Dawei Yin

Mach. Intell. Res., February, 2024

Improving the Robustness of Large Language Models via Consistency Alignment.

Yukun Zhao, Lingyong Yan, Weiwei Sun, Guoliang Xing, Shuaiqiang Wang, Chong Meng, Zhicong Cheng, Zhaochun Ren, Dawei Yin

CoRR, 2024

The Good and The Bad: Exploring Privacy Issues in Retrieval-Augmented Generation (RAG).

Shenglai Zeng, Jiankun Zhang, Pengfei He, Yue Xing, Yiding Liu, Han Xu, Jie Ren, Shuaiqiang Wang, Dawei Yin, Yi Chang, Jiliang Tang

CoRR, 2024

KnowTuning: Knowledge-aware Fine-tuning for Large Language Models.

Yougang Lyu, Lingyong Yan, Shuaiqiang Wang, Haibo Shi, Dawei Yin, Pengjie Ren, Zhumin Chen, Maarten de Rijke, Zhaochun Ren

CoRR, 2024

2023

COLTR: Semi-Supervised Learning to Rank With Co-Training and Over-Parameterization for Web Search.

Yuchen Li, Haoyi Xiong, Qingzhong Wang, Linghe Kong, Hao Liu, Haifang Li, Jiang Bian, Shuaiqiang Wang, Guihai Chen, Dejing Dou, Dawei Yin

IEEE Trans. Knowl. Data Eng., December, 2023

Pre-trained Language Model-based Retrieval and Ranking for Web Search.

Lixin Zou, Weixue Lu, Yiding Liu, Hengyi Cai, Xiaokai Chu, Dehong Ma, Daiting Shi, Yu Sun, Zhicong Cheng, Simiu Gu, Shuaiqiang Wang, Dawei Yin

ACM Trans. Web, February, 2023

Towards Verifiable Text Generation with Evolving Memory and Self-Reflection.

Hao Sun, Hengyi Cai, Bo Wang, Yingyan Hou, Xiaochi Wei, Shuaiqiang Wang, Yan Zhang, Dawei Yin

CoRR, 2023

A Robust Semantics-based Watermark for Large Language Model against Paraphrasing.

Jie Ren, Han Xu, Yiding Liu, Yingqian Cui, Shuaiqiang Wang, Dawei Yin, Jiliang Tang

CoRR, 2023

Self-supervised Heterogeneous Graph Variational Autoencoders.

Yige Zhao, Jianxiang Yu, Yao Cheng, Chengcheng Yu, Yiding Liu, Xiang Li, Shuaiqiang Wang

CoRR, 2023

Exploiting Latent Attribute Interaction with Transformer on Heterogeneous Information Networks.

Zeyuan Zhao, Qingqing Ge, Anfeng Cheng, Yiding Liu, Xiang Li, Shuaiqiang Wang

CoRR, 2023

Instruction Distillation Makes Large Language Models Efficient Zero-shot Rankers.

Weiwei Sun, Zheng Chen, Xinyu Ma, Lingyong Yan, Shuaiqiang Wang, Pengjie Ren, Zhumin Chen, Dawei Yin, Zhaochun Ren

CoRR, 2023

MILL: Mutual Verification with Large Language Models for Zero-Shot Query Expansion.

Pengyue Jia, Yiding Liu, Xiangyu Zhao, Xiaopeng Li, Changying Hao, Shuaiqiang Wang, Dawei Yin

CoRR, 2023

Knowing What LLMs DO NOT Know: A Simple Yet Effective Self-Detection Method.

Yukun Zhao, Lingyong Yan, Weiwei Sun, Guoliang Xing, Chong Meng, Shuaiqiang Wang, Zhicong Cheng, Zhaochun Ren, Dawei Yin

CoRR, 2023

Enhancing Graph Neural Networks with Structure-Based Prompt.

Qingqing Ge, Zeyuan Zhao, Yiding Liu, Anfeng Cheng, Xiang Li, Shuaiqiang Wang, Dawei Yin

CoRR, 2023

DiQAD: A Benchmark Dataset for End-to-End Open-domain Dialogue Assessment.

Yukun Zhao, Lingyong Yan, Weiwei Sun, Chong Meng, Shuaiqiang Wang, Zhicong Cheng, Zhaochun Ren, Dawei Yin

CoRR, 2023

Exploring Memorization in Fine-tuned Language Models.

Shenglai Zeng, Yaxin Li, Jie Ren, Yiding Liu, Han Xu, Pengfei He, Yue Xing, Shuaiqiang Wang, Jiliang Tang, Dawei Yin

CoRR, 2023

Aligning the Capabilities of Large Language Models with the Context of Information Retrieval via Contrastive Feedback.

Qian Dong, Yiding Liu, Qingyao Ai, Zhijing Wu, Haitao Li, Yiqun Liu, Shuaiqiang Wang, Dawei Yin, Shaoping Ma

CoRR, 2023

Explainability for Large Language Models: A Survey.

Haiyan Zhao, Hanjie Chen, Fan Yang, Ninghao Liu, Huiqi Deng, Hengyi Cai, Shuaiqiang Wang, Dawei Yin, Mengnan Du

CoRR, 2023

Exploring the Potential of Large Language Models (LLMs) in Learning on Graphs.

Zhikai Chen, Haitao Mao, Hang Li, Wei Jin, Hongzhi Wen, Xiaochi Wei, Shuaiqiang Wang, Dawei Yin, Wenqi Fan, Hui Liu, Jiliang Tang

CoRR, 2023

I^3 Retriever: Incorporating Implicit Interaction in Pre-trained Language Models for Passage Retrieval.

Qian Dong, Yiding Liu, Qingyao Ai, Haitao Li, Shuaiqiang Wang, Yiqun Liu, Dawei Yin, Shaoping Ma

CoRR, 2023

Pretrained Language Model based Web Search Ranking: From Relevance to Satisfaction.

Canjia Li, Xiaoyang Wang, Dongdong Li, Yiding Liu, Yu Lu, Shuaiqiang Wang, Zhicong Cheng, Simiu Gu, Dawei Yin

CoRR, 2023

Layout-aware Webpage Quality Assessment.

Anfeng Cheng, Yiding Liu, Weibin Li, Qian Dong, Shuaiqiang Wang, Zhengjie Huang, Shikun Feng, Zhicong Cheng, Dawei Yin

CoRR, 2023

Graph Enhanced BERT for Query Understanding.

Juanhui Li, Wei Zeng, Suqi Cheng, Yao Ma, Jiliang Tang, Shuaiqiang Wang, Dawei Yin

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

LtrGCN: Large-Scale Graph Convolutional Networks-Based Learning to Rank for Web Search.

Yuchen Li, Haoyi Xiong, Linghe Kong, Shuaiqiang Wang, Zeyi Sun, Hongyang Chen, Guihai Chen, Dawei Yin

Proceedings of the Machine Learning and Knowledge Discovery in Databases: Applied Data Science and Demo Track, 2023

Learning to Tokenize for Generative Retrieval.

Weiwei Sun, Lingyong Yan, Zheng Chen, Shuaiqiang Wang, Haichao Zhu, Pengjie Ren, Zhumin Chen, Dawei Yin, Maarten de Rijke, Zhaochun Ren

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

Semantic-Enhanced Differentiable Search Index Inspired by Learning Strategies.

Yubao Tang, Ruqing Zhang, Jiafeng Guo, Jiangui Chen, Zuowei Zhu, Shuaiqiang Wang, Dawei Yin, Xueqi Cheng

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

S²phere: Semi-Supervised Pre-training for Web Search over Heterogeneous Learning to Rank Data.

Yuchen Li, Haoyi Xiong, Linghe Kong, Qingzhong Wang, Shuaiqiang Wang, Guihai Chen, Dawei Yin

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

MPGraf: a Modular and Pre-trained Graphformer for Learning to Rank at Web-scale.

Yuchen Li, Haoyi Xiong, Linghe Kong, Zeyi Sun, Hongyang Chen, Shuaiqiang Wang, Dawei Yin

Proceedings of the IEEE International Conference on Data Mining, 2023

DiQAD: A Benchmark Dataset for Open-domain Dialogue Quality Assessment.

Yukun Zhao, Lingyong Yan, Weiwei Sun, Chong Meng, Shuaiqiang Wang, Zhicong Cheng, Zhaochun Ren, Dawei Yin

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

Is ChatGPT Good at Search? Investigating Large Language Models as Re-Ranking Agents.

Weiwei Sun, Lingyong Yan, Xinyu Ma, Shuaiqiang Wang, Pengjie Ren, Zhumin Chen, Dawei Yin, Zhaochun Ren

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

GS²P: A Generative Pre-trained Learning to Rank Model with Over-parameterization for Web-Scale Search.

Yuchen Li, Haoyi Xiong, Linghe Kong, Jiang Bian, Shuaiqiang Wang, Guihai Chen, Dawei Yin

Proceedings of the 10th IEEE International Conference on Data Science and Advanced Analytics, 2023

I3 Retriever: Incorporating Implicit Interaction in Pre-trained Language Models for Passage Retrieval.

Qian Dong, Yiding Liu, Qingyao Ai, Haitao Li, Shuaiqiang Wang, Yiqun Liu, Dawei Yin, Shaoping Ma

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Boosting Event Extraction with Denoised Structure-to-Text Augmentation.

Bo Wang, Heyan Huang, Xiaochi Wei, Ge Shi, Xiao Liu, Chong Feng, Tong Zhou, Shuaiqiang Wang, Dawei Yin

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

2022

Geometry Contrastive Learning on Heterogeneous Graphs.

Shichao Zhu, Chuan Zhou, Anfeng Cheng, Shirui Pan, Shuaiqiang Wang, Dawei Yin, Bin Wang

CoRR, 2022

Practical Strategies of Active Learning to Rank for Web Search.

Qingzhong Wang, Haifang Li, Haoyi Xiong, Wen Wang, Jiang Bian, Yu Lu, Shuaiqiang Wang, Zhicong Cheng, Jingbo Zhou, Dawei Yin, Dejing Dou

CoRR, 2022

ERNIE-Search: Bridging Cross-Encoder with Dual-Encoder via Self On-the-fly Distillation for Dense Passage Retrieval.

Yuxiang Lu, Yiding Liu, Jiaxiang Liu, Yunsheng Shi, Zhengjie Huang, Shikun Feng, Yu Sun, Hao Tian, Hua Wu, Shuaiqiang Wang, Dawei Yin, Haifeng Wang

CoRR, 2022

Graph Enhanced BERT for Query Understanding.

Juan-Hui Li, Yao Ma, Wei Zeng, Suqi Cheng, Jiliang Tang, Shuaiqiang Wang, Dawei Yin

CoRR, 2022

Fast Semantic Matching via Flexible Contextualized Interaction.

Wenwen Ye, Yiding Liu, Lixin Zou, Hengyi Cai, Suqi Cheng, Shuaiqiang Wang, Dawei Yin

Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022

Incorporating Explicit Knowledge in Pre-trained Language Models for Passage Re-ranking.

Qian Dong, Yiding Liu, Suqi Cheng, Shuaiqiang Wang, Zhicong Cheng, Shuzi Niu, Dawei Yin

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

A Large Scale Search Dataset for Unbiased Learning to Rank.

Lixin Zou, Haitao Mao, Xiaokai Chu, Jiliang Tang, Wenwen Ye, Shuaiqiang Wang, Dawei Yin

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

Approximated Doubly Robust Search Relevance Estimation.

Lixin Zou, Changying Hao, Hengyi Cai, Shuaiqiang Wang, Suqi Cheng, Zhicong Cheng, Wenwen Ye, Simiu Gu, Dawei Yin

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021

Pre-trained Language Model for Web-scale Retrieval in Baidu Search.

Yiding Liu, Guan Huang, Jiaxiang Liu, Weixue Lu, Suqi Cheng, Yukun Li, Daiting Shi, Shuaiqiang Wang, Zhicong Cheng, Dawei Yin

CoRR, 2021

Enhanced Doubly Robust Learning for Debiasing Post-Click Conversion Rate Estimation.

Siyuan Guo, Lixin Zou, Yiding Liu, Wenwen Ye, Suqi Cheng, Shuaiqiang Wang, Hechang Chen, Dawei Yin, Yi Chang

Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

Pre-trained Language Model based Ranking in Baidu Search.

Lixin Zou, Shengqiang Zhang, Hengyi Cai, Dehong Ma, Suqi Cheng, Shuaiqiang Wang, Daiting Shi, Zhicong Cheng, Dawei Yin

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

Pre-trained Language Model for Web-scale Retrieval in Baidu Search.

Yiding Liu, Weixue Lu, Suqi Cheng, Daiting Shi, Shuaiqiang Wang, Zhicong Cheng, Dawei Yin

Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021

2020

How does serendipity affect diversity in recommender systems? A serendipity-oriented greedy algorithm.

Denis Kotkov, Jari Veijalainen, Shuaiqiang Wang

Computing, 2020

Hierarchical User Profiling for E-commerce Recommender Systems.

Yulong Gu, Zhuoye Ding, Shuaiqiang Wang, Dawei Yin

Proceedings of the WSDM '20: The Thirteenth ACM International Conference on Web Search and Data Mining, 2020

Time Matters: Sequential Recommendation with Complex Temporal Information.

Wenwen Ye, Shuaiqiang Wang, Xu Chen, Xuepeng Wang, Zheng Qin, Dawei Yin

Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

Deep Multifaceted Transformers for Multi-objective Ranking in Large-Scale E-commerce Recommender Systems.

Yulong Gu, Zhuoye Ding, Shuaiqiang Wang, Lixin Zou, Yiding Liu, Dawei Yin

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

2019

IEEE Access Special Section Editorial: Advanced Data Analytics for Large-Scale Complex Data Environments.

Jia Wu, Shirui Pan, Junjun Jiang, Zhihua Cai, Bo Du, Yingjie Tian, Shuaiqiang Wang, Haishuai Wang

IEEE Access, 2019

Vectors of Pairwise Item Preferences.

Gaurav Pandey, Shuaiqiang Wang, Zhaochun Ren, Yi Chang

Proceedings of the Advances in Information Retrieval, 2019

2018

Linear feature extraction for ranking.

Gaurav Pandey, Zhaochun Ren, Shuaiqiang Wang, Jari Veijalainen, Maarten de Rijke

Inf. Retr. J., 2018

User session level diverse reranking of search results.

Pengjie Ren, Zhumin Chen, Jun Ma, Shuaiqiang Wang, Zhiwei Zhang, Zhaochun Ren, Tinghuai Ma

Neurocomputing, 2018

Learning to rank images for complex queries in concept-based search.

Chaoran Cui, Jialie Shen, Zhumin Chen, Shuaiqiang Wang, Jun Ma

Neurocomputing, 2018

Polygene-based evolutionary algorithms with frequent pattern mining.

Shuaiqiang Wang, Yilong Yin

Frontiers Comput. Sci., 2018

Etymo: A New Discovery Engine for AI Research.

Weijian Zhang, Jonathan Deakin, Nicholas J. Higham, Shuaiqiang Wang

Proceedings of the Companion of the The Web Conference 2018 on The Web Conference 2018, 2018

Finding Tours for a Set of Interests.

Mohamed Abdel Maksoud, Gaurav Pandey, Shuaiqiang Wang

Proceedings of the Companion of the The Web Conference 2018 on The Web Conference 2018, 2018

2017

基于矩阵分解优化的排序学习特征构造方法 (Feature Construction Method for Learning to Rank Based on Optimization of Matrix Factorization).

Xiao Yang, Chaoran Cui, Shuaiqiang Wang

计算机科学, 2017

Detecting temporal patterns of user queries.

Pengjie Ren, Zhumin Chen, Jun Ma, Zhiwei Zhang, Luo Si, Shuaiqiang Wang

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

Behavior-based personalization in web search.

Fei Cai, Shuaiqiang Wang, Maarten de Rijke

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

Learning to Recommend Accurate and Diverse Items.

Peizhe Cheng, Shuaiqiang Wang, Jun Ma, Jiankai Sun, Hui Xiong

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

Social Collaborative Viewpoint Regression with Explainable Recommendations.

Zhaochun Ren, Shangsong Liang, Piji Li, Shuaiqiang Wang, Maarten de Rijke

Proceedings of the Tenth ACM International Conference on Web Search and Data Mining, 2017

A Serendipity-Oriented Greedy Algorithm for Recommendations.

Denis Kotkov, Jari Veijalainen, Shuaiqiang Wang

Proceedings of the 13th International Conference on Web Information Systems and Technologies, 2017

CitySearcher: A City Search Engine For Interests.

Mohamed Abdel Maksoud, Gaurav Pandey, Shuaiqiang Wang

Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2017

2016

Ranking-Oriented Collaborative Filtering: A Listwise Approach.

Shuaiqiang Wang, Shanshan Huang, Tie-Yan Liu, Jun Ma, Zhumin Chen, Jari Veijalainen

ACM Trans. Inf. Syst., 2016

A survey of serendipity in recommender systems.

Denis Kotkov, Shuaiqiang Wang, Jari Veijalainen

Knowl. Based Syst., 2016

Improving Serendipity and Accuracy in Cross-Domain Recommender Systems.

Denis Kotkov, Shuaiqiang Wang, Jari Veijalainen

Proceedings of the Web Information Systems and Technologies, 2016

Cross-Domain Recommendations with Overlapping Items.

Denis Kotkov, Shuaiqiang Wang, Jari Veijalainen

Proceedings of the 12th International Conference on Web Information Systems and Technologies, 2016

Challenges of Serendipity in Recommender Systems.

Denis Kotkov, Jari Veijalainen, Shuaiqiang Wang

Proceedings of the 12th International Conference on Web Information Systems and Technologies, 2016

2015

A Cooperative Coevolution Framework for Parallel Learning to Rank.

Shuaiqiang Wang, Yun Wu, Byron J. Gao, Ke Wang, Hady Wirawan Lauw, Jun Ma

IEEE Trans. Knowl. Data Eng., 2015

A Hybrid Multigroup Coclustering Recommendation Framework Based on Information Fusion.

Shanshan Huang, Jun Ma, Peizhe Cheng, Shuaiqiang Wang

ACM Trans. Intell. Syst. Technol., 2015

Improving image annotation via ranking-oriented neighbor search and learning-based keyword propagation.

Chaoran Cui, Jun Ma, Tao Lian, Zhumin Chen, Shuaiqiang Wang

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

Mining and ranking users' intents behind queries.

Pengjie Ren, Zhumin Chen, Jun Ma, Shuaiqiang Wang, Zhiwei Zhang, Zhaochun Ren

Inf. Retr. J., 2015

Listwise Collaborative Filtering.

Shanshan Huang, Shuaiqiang Wang, Tie-Yan Liu, Jun Ma, Zhumin Chen, Jari Veijalainen

Proceedings of the 38th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2015

Tourism Service Composition Based on Multi-objective Optimization.

Xuwei Zheng, Ruzhi Xu, Yun Peng, Shuaiqiang Wang

Proceedings of the Twelfth IEEE International Symposium on Autonomous Decentralized Systems, 2015

2014

VSRank: A Novel Framework for Ranking-Based Collaborative Filtering.

Shuaiqiang Wang, Jiankai Sun, Byron J. Gao, Jun Ma

ACM Trans. Intell. Syst. Technol., 2014

Distributed collaborative filtering with singular ratings for large scale recommendation.

Ruzhi Xu, Shuaiqiang Wang, Xuwei Zheng, Yinong Chen

J. Syst. Softw., 2014

Singular value decomposition based minutiae matching method for finger vein recognition.

Fei Liu, Gongping Yang, Yilong Yin, Shuaiqiang Wang

Neurocomputing, 2014

2013

User-Centric Organization of Search Results.

Byron J. Gao, David Buttler, David C. Anastasiu, Shuaiqiang Wang, Peng Zhang, Joey Jan

IEEE Internet Comput., 2013

2012

Importance weighted passive learning.

Shuaiqiang Wang, Xiaoming Xi, Yilong Yin

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

Adapting vector space model to ranking-based collaborative filtering.

Shuaiqiang Wang, Jiankai Sun, Byron J. Gao, Jun Ma

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

Polygene-based evolution: a novel framework for evolutionary algorithms.

Shuaiqiang Wang, Byron J. Gao, Shuangling Wang, Guibao Cao, Yilong Yin

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

Learning to rank for hybrid recommendation.

Jiankai Sun, Shuaiqiang Wang, Byron J. Gao, Jun Ma

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

Semantically coherent image annotation with a learning-based keyword propagation strategy.

Chaoran Cui, Jun Ma, Shuaiqiang Wang, Shuai Gao, Tao Lian

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

2011

Parallel learning to rank for information retrieval.

Shuaiqiang Wang, Byron J. Gao, Ke Wang, Hady Wirawan Lauw

Proceedings of the Proceeding of the 34th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2011

Summarizing web forum threads based on a latent topic propagation process.

Zhaochun Ren, Jun Ma, Shuaiqiang Wang, Yang Liu

Proceedings of the 20th ACM Conference on Information and Knowledge Management, 2011

CCRank: Parallel Learning to Rank with Cooperative Coevolution.

Shuaiqiang Wang, Byron J. Gao, Ke Wang, Hady Wirawan Lauw

Proceedings of the Twenty-Fifth AAAI Conference on Artificial Intelligence, 2011

2010

Formal behavior modeling and effective automatic refinement.

Shuaiqiang Wang, Jun Ma, Qiang He, Jiancheng Wan

Inf. Sci., 2010

Evolving choice structures for genetic programming.

Shuaiqiang Wang, Jun Ma, Jiming Liu, Xiaofei Niu

Inf. Process. Lett., 2010

An immune programming-based ranking function discovery approach for effective information retrieval.

Shuaiqiang Wang, Jun Ma, Qiang He

Expert Syst. Appl., 2010

Learning to Detect Web Spam by Genetic Programming.

Xiaofei Niu, Jun Ma, Qiang He, Shuaiqiang Wang, Dongmei Zhang

Proceedings of the Web-Age Information Management, 11th International Conference, 2010

Directly optimizing evaluation measures in learning to rank based on the clonal selection algorithm.

Qiang He, Jun Ma, Shuaiqiang Wang

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

2009

Learning to rank using evolutionary computation: immune programming or genetic programming?

Shuaiqiang Wang, Jun Ma, Jiming Liu

Proceedings of the 18th ACM Conference on Information and Knowledge Management, 2009

2007

OR-ATP: An Operation Refinement Approach As a Process of Automatic Theorem Proving.

Shuaiqiang Wang, Jiancheng Wan, Jinkui Hou

Proceedings of the 8th ACIS International Conference on Software Engineering, 2007

Formalization of Architecture-Centric Model Mapping Using Category Theory.

Jinkui Hou, Jiancheng Wan, Shuaiqiang Wang

Proceedings of the 8th ACIS International Conference on Software Engineering, 2007

PostB: The Post-condition Extension onto the B-Method.

Shuaiqiang Wang, Ying Li, Guodong Huang

Proceedings of the 5th ACIS International Conference on Software Engineering Research, 2007