Shuaiqiang Wang

ORCID

Publication Activity (10 Years)

Years Active: 2007-2024
Publications (10 Years): 82

Top Venues

Publications

Qingzhong Wang, Haifang Li, Haoyi Xiong, Wen Wang, Jiang Bian, Yu Lu, Shuaiqiang Wang, Zhicong Cheng, Dejing Dou, Dawei Yin
A Simple yet Effective Framework for Active Learning to Rank. Mach. Intell. Res. 21 (1) (2024)
Yougang Lyu, Lingyong Yan, Shuaiqiang Wang, Haibo Shi, Dawei Yin, Pengjie Ren, Zhumin Chen, Maarten de Rijke, Zhaochun Ren
KnowTuning: Knowledge-aware Fine-tuning for Large Language Models. CoRR (2024)
Yukun Zhao, Lingyong Yan, Weiwei Sun, Guoliang Xing, Chong Meng, Shuaiqiang Wang, Zhicong Cheng, Zhaochun Ren, Dawei Yin
Knowing What LLMs DO NOT Know: A Simple Yet Effective Self-Detection Method. CoRR (2023)
Yige Zhao, Jianxiang Yu, Yao Cheng, Chengcheng Yu, Yiding Liu, Xiang Li, Shuaiqiang Wang
Self-supervised Heterogeneous Graph Variational Autoencoders. CoRR (2023)
Zhikai Chen, Haitao Mao, Hang Li, Wei Jin, Hongzhi Wen, Xiaochi Wei, Shuaiqiang Wang, Dawei Yin, Wenqi Fan, Hui Liu, Jiliang Tang
Exploring the Potential of Large Language Models (LLMs) in Learning on Graphs. CoRR (2023)
Bo Wang, Heyan Huang, Xiaochi Wei, Ge Shi, Xiao Liu, Chong Feng, Tong Zhou, Shuaiqiang Wang, Dawei Yin
Boosting Event Extraction with Denoised Structure-to-Text Augmentation. CoRR (2023)
Zeyuan Zhao, Qingqing Ge, Anfeng Cheng, Yiding Liu, Xiang Li, Shuaiqiang Wang
Exploiting Latent Attribute Interaction with Transformer on Heterogeneous Information Networks. CoRR (2023)
Qian Dong, Yiding Liu, Qingyao Ai, Haitao Li, Shuaiqiang Wang, Yiqun Liu, Dawei Yin, Shaoping Ma
I3 Retriever: Incorporating Implicit Interaction in Pre-trained Language Models for Passage Retrieval. CIKM (2023)
Yuchen Li, Haoyi Xiong, Linghe Kong, Jiang Bian, Shuaiqiang Wang, Guihai Chen, Dawei Yin
P: A Generative Pre-trained Learning to Rank Model with Over-parameterization for Web-Scale Search. DSAA (2023)
Weiwei Sun, Lingyong Yan, Xinyu Ma, Shuaiqiang Wang, Pengjie Ren, Zhumin Chen, Dawei Yin, Zhaochun Ren
Is ChatGPT Good at Search? Investigating Large Language Models as Re-Ranking Agents. EMNLP (2023)
Canjia Li, Xiaoyang Wang, Dongdong Li, Yiding Liu, Yu Lu, Shuaiqiang Wang, Zhicong Cheng, Simiu Gu, Dawei Yin
Pretrained Language Model based Web Search Ranking: From Relevance to Satisfaction. CoRR (2023)
Weiwei Sun, Zheng Chen, Xinyu Ma, Lingyong Yan, Shuaiqiang Wang, Pengjie Ren, Zhumin Chen, Dawei Yin, Zhaochun Ren
Instruction Distillation Makes Large Language Models Efficient Zero-shot Rankers. CoRR (2023)
Lixin Zou, Weixue Lu, Yiding Liu, Hengyi Cai, Xiaokai Chu, Dehong Ma, Daiting Shi, Yu Sun, Zhicong Cheng, Simiu Gu, Shuaiqiang Wang, Dawei Yin
Pre-trained Language Model-based Retrieval and Ranking for Web Search. ACM Trans. Web 17 (1) (2023)
Bo Wang, Heyan Huang, Xiaochi Wei, Ge Shi, Xiao Liu, Chong Feng, Tong Zhou, Shuaiqiang Wang, Dawei Yin
Boosting Event Extraction with Denoised Structure-to-Text Augmentation. ACL (Findings) (2023)
Yubao Tang, Ruqing Zhang, Jiafeng Guo, Jiangui Chen, Zuowei Zhu, Shuaiqiang Wang, Dawei Yin, Xueqi Cheng
Semantic-Enhanced Differentiable Search Index Inspired by Learning Strategies. CoRR (2023)
Qingqing Ge, Zeyuan Zhao, Yiding Liu, Anfeng Cheng, Xiang Li, Shuaiqiang Wang, Dawei Yin
Enhancing Graph Neural Networks with Structure-Based Prompt. CoRR (2023)
Qian Dong, Yiding Liu, Qingyao Ai, Haitao Li, Shuaiqiang Wang, Yiqun Liu, Dawei Yin, Shaoping Ma
I^3 Retriever: Incorporating Implicit Interaction in Pre-trained Language Models for Passage Retrieval. CoRR (2023)
Yuchen Li, Haoyi Xiong, Linghe Kong, Qingzhong Wang, Shuaiqiang Wang, Guihai Chen, Dawei Yin
phere: Semi-Supervised Pre-training for Web Search over Heterogeneous Learning to Rank Data. KDD (2023)
Anfeng Cheng, Yiding Liu, Weibin Li, Qian Dong, Shuaiqiang Wang, Zhengjie Huang, Shikun Feng, Zhicong Cheng, Dawei Yin
Layout-aware Webpage Quality Assessment. CoRR (2023)
Yukun Zhao, Lingyong Yan, Weiwei Sun, Chong Meng, Shuaiqiang Wang, Zhicong Cheng, Zhaochun Ren, Dawei Yin
DiQAD: A Benchmark Dataset for Open-domain Dialogue Quality Assessment. EMNLP (Findings) (2023)
Jie Ren, Han Xu, Yiding Liu, Yingqian Cui, Shuaiqiang Wang, Dawei Yin, Jiliang Tang
A Robust Semantics-based Watermark for Large Language Model against Paraphrasing. CoRR (2023)
Juanhui Li, Wei Zeng, Suqi Cheng, Yao Ma, Jiliang Tang, Shuaiqiang Wang, Dawei Yin
Graph Enhanced BERT for Query Understanding. SIGIR (2023)
Weiwei Sun, Lingyong Yan, Zheng Chen, Shuaiqiang Wang, Haichao Zhu, Pengjie Ren, Zhumin Chen, Dawei Yin, Maarten de Rijke, Zhaochun Ren
Learning to Tokenize for Generative Retrieval. NeurIPS (2023)
Qian Dong, Yiding Liu, Qingyao Ai, Zhijing Wu, Haitao Li, Yiqun Liu, Shuaiqiang Wang, Dawei Yin, Shaoping Ma
Aligning the Capabilities of Large Language Models with the Context of Information Retrieval via Contrastive Feedback. CoRR (2023)
Yuchen Li, Haoyi Xiong, Linghe Kong, Shuaiqiang Wang, Zeyi Sun, Hongyang Chen, Guihai Chen, Dawei Yin
LtrGCN: Large-Scale Graph Convolutional Networks-Based Learning to Rank for Web Search. ECML/PKDD (6) (2023)
Hao Sun, Hengyi Cai, Bo Wang, Yingyan Hou, Xiaochi Wei, Shuaiqiang Wang, Yan Zhang, Dawei Yin
Towards Verifiable Text Generation with Evolving Memory and Self-Reflection. CoRR (2023)
Yukun Zhao, Lingyong Yan, Weiwei Sun, Chong Meng, Shuaiqiang Wang, Zhicong Cheng, Zhaochun Ren, Dawei Yin
DiQAD: A Benchmark Dataset for End-to-End Open-domain Dialogue Assessment. CoRR (2023)
Pengyue Jia, Yiding Liu, Xiangyu Zhao, Xiaopeng Li, Changying Hao, Shuaiqiang Wang, Dawei Yin
MILL: Mutual Verification with Large Language Models for Zero-Shot Query Expansion. CoRR (2023)
Yuchen Li, Haoyi Xiong, Qingzhong Wang, Linghe Kong, Hao Liu, Haifang Li, Jiang Bian, Shuaiqiang Wang, Guihai Chen, Dejing Dou, Dawei Yin
COLTR: Semi-Supervised Learning to Rank With Co-Training and Over-Parameterization for Web Search. IEEE Trans. Knowl. Data Eng. 35 (12) (2023)
Shenglai Zeng, Yaxin Li, Jie Ren, Yiding Liu, Han Xu, Pengfei He, Yue Xing, Shuaiqiang Wang, Jiliang Tang, Dawei Yin
Exploring Memorization in Fine-tuned Language Models. CoRR (2023)
Haiyan Zhao, Hanjie Chen, Fan Yang, Ninghao Liu, Huiqi Deng, Hengyi Cai, Shuaiqiang Wang, Dawei Yin, Mengnan Du
Explainability for Large Language Models: A Survey. CoRR (2023)
Yubao Tang, Ruqing Zhang, Jiafeng Guo, Jiangui Chen, Zuowei Zhu, Shuaiqiang Wang, Dawei Yin, Xueqi Cheng
Semantic-Enhanced Differentiable Search Index Inspired by Learning Strategies. KDD (2023)
Yuchen Li, Haoyi Xiong, Linghe Kong, Zeyi Sun, Hongyang Chen, Shuaiqiang Wang, Dawei Yin
MPGraf: a Modular and Pre-trained Graphformer for Learning to Rank at Web-scale. ICDM (2023)
Weiwei Sun, Lingyong Yan, Zheng Chen, Shuaiqiang Wang, Haichao Zhu, Pengjie Ren, Zhumin Chen, Dawei Yin, Maarten de Rijke, Zhaochun Ren
Learning to Tokenize for Generative Retrieval. CoRR (2023)
Lixin Zou, Changying Hao, Hengyi Cai, Suqi Cheng, Shuaiqiang Wang, Wenwen Ye, Zhicong Cheng, Simiu Gu, Dawei Yin
Approximated Doubly Robust Search Relevance Estimation. CoRR (2022)
Qingzhong Wang, Haifang Li, Haoyi Xiong, Wen Wang, Jiang Bian, Yu Lu, Shuaiqiang Wang, Zhicong Cheng, Jingbo Zhou, Dawei Yin, Dejing Dou
Practical Strategies of Active Learning to Rank for Web Search. CoRR (2022)
Qian Dong, Yiding Liu, Suqi Cheng, Shuaiqiang Wang, Zhicong Cheng, Shuzi Niu, Dawei Yin
Incorporating Explicit Knowledge in Pre-trained Language Models for Passage Re-ranking. CoRR (2022)
Wenwen Ye, Yiding Liu, Lixin Zou, Hengyi Cai, Suqi Cheng, Shuaiqiang Wang, Dawei Yin
Fast Semantic Matching via Flexible Contextualized Interaction. WSDM (2022)
Juan-Hui Li, Yao Ma, Wei Zeng, Suqi Cheng, Jiliang Tang, Shuaiqiang Wang, Dawei Yin
Graph Enhanced BERT for Query Understanding. CoRR (2022)
Lixin Zou, Changying Hao, Hengyi Cai, Shuaiqiang Wang, Suqi Cheng, Zhicong Cheng, Wenwen Ye, Simiu Gu, Dawei Yin
Approximated Doubly Robust Search Relevance Estimation. CIKM (2022)
Qian Dong, Yiding Liu, Suqi Cheng, Shuaiqiang Wang, Zhicong Cheng, Shuzi Niu, Dawei Yin
Incorporating Explicit Knowledge in Pre-trained Language Models for Passage Re-ranking. SIGIR (2022)
Lixin Zou, Haitao Mao, Xiaokai Chu, Jiliang Tang, Wenwen Ye, Shuaiqiang Wang, Dawei Yin
A Large Scale Search Dataset for Unbiased Learning to Rank. CoRR (2022)
Lixin Zou, Haitao Mao, Xiaokai Chu, Jiliang Tang, Wenwen Ye, Shuaiqiang Wang, Dawei Yin
A Large Scale Search Dataset for Unbiased Learning to Rank. NeurIPS (2022)
Shichao Zhu, Chuan Zhou, Anfeng Cheng, Shirui Pan, Shuaiqiang Wang, Dawei Yin, Bin Wang
Geometry Contrastive Learning on Heterogeneous Graphs. CoRR (2022)
Yuxiang Lu, Yiding Liu, Jiaxiang Liu, Yunsheng Shi, Zhengjie Huang, Shikun Feng, Yu Sun, Hao Tian, Hua Wu, Shuaiqiang Wang, Dawei Yin, Haifeng Wang
ERNIE-Search: Bridging Cross-Encoder with Dual-Encoder via Self On-the-fly Distillation for Dense Passage Retrieval. CoRR (2022)
Yiding Liu, Guan Huang, Jiaxiang Liu, Weixue Lu, Suqi Cheng, Yukun Li, Daiting Shi, Shuaiqiang Wang, Zhicong Cheng, Dawei Yin
Pre-trained Language Model for Web-scale Retrieval in Baidu Search. CoRR (2021)
Lixin Zou, Shengqiang Zhang, Hengyi Cai, Dehong Ma, Suqi Cheng, Daiting Shi, Shuaiqiang Wang, Zhicong Cheng, Dawei Yin
Pre-trained Language Model based Ranking in Baidu Search. CoRR (2021)
Lixin Zou, Shengqiang Zhang, Hengyi Cai, Dehong Ma, Suqi Cheng, Shuaiqiang Wang, Daiting Shi, Zhicong Cheng, Dawei Yin
Pre-trained Language Model based Ranking in Baidu Search. KDD (2021)
Yiding Liu, Weixue Lu, Suqi Cheng, Daiting Shi, Shuaiqiang Wang, Zhicong Cheng, Dawei Yin
Pre-trained Language Model for Web-scale Retrieval in Baidu Search. KDD (2021)
Siyuan Guo, Lixin Zou, Yiding Liu, Wenwen Ye, Suqi Cheng, Shuaiqiang Wang, Hechang Chen, Dawei Yin, Yi Chang
Enhanced Doubly Robust Learning for Debiasing Post-Click Conversion Rate Estimation. SIGIR (2021)
Siyuan Guo, Lixin Zou, Yiding Liu, Wenwen Ye, Suqi Cheng, Shuaiqiang Wang, Hechang Chen, Dawei Yin, Yi Chang
Enhanced Doubly Robust Learning for Debiasing Post-click Conversion Rate Estimation. CoRR (2021)
Wenwen Ye, Shuaiqiang Wang, Xu Chen, Xuepeng Wang, Zheng Qin, Dawei Yin
Time Matters: Sequential Recommendation with Complex Temporal Information. SIGIR (2020)
Denis Kotkov, Jari Veijalainen, Shuaiqiang Wang
How does serendipity affect diversity in recommender systems? A serendipity-oriented greedy algorithm. Computing 102 (2) (2020)
Yulong Gu, Zhuoye Ding, Shuaiqiang Wang, Lixin Zou, Yiding Liu, Dawei Yin
Deep Multifaceted Transformers for Multi-objective Ranking in Large-Scale E-commerce Recommender Systems. CIKM (2020)
Yulong Gu, Zhuoye Ding, Shuaiqiang Wang, Dawei Yin
Hierarchical User Profiling for E-commerce Recommender Systems. WSDM (2020)
Jia Wu, Shirui Pan, Junjun Jiang, Zhihua Cai, Bo Du, Yingjie Tian, Shuaiqiang Wang, Haishuai Wang
IEEE Access Special Section Editorial: Advanced Data Analytics for Large-Scale Complex Data Environments. IEEE Access 7 (2019)
Gaurav Pandey, Shuaiqiang Wang, Zhaochun Ren, Yi Chang
Vectors of Pairwise Item Preferences. ECIR (1) (2019)
Gaurav Pandey, Zhaochun Ren, Shuaiqiang Wang, Jari Veijalainen, Maarten de Rijke
Linear feature extraction for ranking. Inf. Retr. J. 21 (6) (2018)
Shuaiqiang Wang, Yilong Yin
Polygene-based evolutionary algorithms with frequent pattern mining. Frontiers Comput. Sci. 12 (5) (2018)
Chaoran Cui, Jialie Shen, Zhumin Chen, Shuaiqiang Wang, Jun Ma
Learning to rank images for complex queries in concept-based search. Neurocomputing 274 (2018)
Mohamed Abdel Maksoud, Gaurav Pandey, Shuaiqiang Wang
Finding Tours for a Set of Interests. WWW (Companion Volume) (2018)
Pengjie Ren, Zhumin Chen, Jun Ma, Shuaiqiang Wang, Zhiwei Zhang, Zhaochun Ren, Tinghuai Ma
User session level diverse reranking of search results. Neurocomputing 274 (2018)
Weijian Zhang, Jonathan Deakin, Nicholas J. Higham, Shuaiqiang Wang
Etymo: A New Discovery Engine for AI Research. CoRR (2018)
Weijian Zhang, Jonathan Deakin, Nicholas J. Higham, Shuaiqiang Wang
Etymo: A New Discovery Engine for AI Research. WWW (Companion Volume) (2018)
Mohamed Abdel Maksoud, Gaurav Pandey, Shuaiqiang Wang
CitySearcher: A City Search Engine For Interests. SIGIR (2017)
Zhaochun Ren, Shangsong Liang, Piji Li, Shuaiqiang Wang, Maarten de Rijke
Social Collaborative Viewpoint Regression with Explainable Recommendations. WSDM (2017)
Xiao Yang, Chaoran Cui, Shuaiqiang Wang
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). 计算机科学 44 (12) (2017)
Fei Cai, Shuaiqiang Wang, Maarten de Rijke
Behavior-based personalization in web search. J. Assoc. Inf. Sci. Technol. 68 (4) (2017)
Pengjie Ren, Zhumin Chen, Jun Ma, Zhiwei Zhang, Luo Si, Shuaiqiang Wang
Detecting temporal patterns of user queries. J. Assoc. Inf. Sci. Technol. 68 (1) (2017)
Denis Kotkov, Jari Veijalainen, Shuaiqiang Wang
A Serendipity-Oriented Greedy Algorithm for Recommendations. WEBIST (2017)
Peizhe Cheng, Shuaiqiang Wang, Jun Ma, Jiankai Sun, Hui Xiong
Learning to Recommend Accurate and Diverse Items. WWW (2017)
Denis Kotkov, Jari Veijalainen, Shuaiqiang Wang
Challenges of Serendipity in Recommender Systems. WEBIST (2) (2016)
Denis Kotkov, Shuaiqiang Wang, Jari Veijalainen
A survey of serendipity in recommender systems. Knowl. Based Syst. 111 (2016)
Denis Kotkov, Shuaiqiang Wang, Jari Veijalainen
Cross-Domain Recommendations with Overlapping Items. WEBIST (2) (2016)
Denis Kotkov, Shuaiqiang Wang, Jari Veijalainen
Improving Serendipity and Accuracy in Cross-Domain Recommender Systems. WEBIST (Revised Selected Papers) (2016)
Shuaiqiang Wang, Shanshan Huang, Tie-Yan Liu, Jun Ma, Zhumin Chen, Jari Veijalainen
Ranking-Oriented Collaborative Filtering: A Listwise Approach. ACM Trans. Inf. Syst. 35 (2) (2016)
Chaoran Cui, Jun Ma, Tao Lian, Zhumin Chen, Shuaiqiang Wang
Improving image annotation via ranking-oriented neighbor search and learning-based keyword propagation. J. Assoc. Inf. Sci. Technol. 66 (1) (2015)
Pengjie Ren, Zhumin Chen, Jun Ma, Shuaiqiang Wang, Zhiwei Zhang, Zhaochun Ren
Mining and ranking users' intents behind queries. Inf. Retr. J. 18 (6) (2015)
Shuaiqiang Wang, Yun Wu, Byron J. Gao, Ke Wang, Hady Wirawan Lauw, Jun Ma
A Cooperative Coevolution Framework for Parallel Learning to Rank. IEEE Trans. Knowl. Data Eng. 27 (12) (2015)
Shanshan Huang, Shuaiqiang Wang, Tie-Yan Liu, Jun Ma, Zhumin Chen, Jari Veijalainen
Listwise Collaborative Filtering. SIGIR (2015)
Shanshan Huang, Jun Ma, Peizhe Cheng, Shuaiqiang Wang
A Hybrid Multigroup Coclustering Recommendation Framework Based on Information Fusion. ACM Trans. Intell. Syst. Technol. 6 (2) (2015)
Xuwei Zheng, Ruzhi Xu, Yun Peng, Shuaiqiang Wang
Tourism Service Composition Based on Multi-objective Optimization. ISADS (2015)
Shuaiqiang Wang, Jiankai Sun, Byron J. Gao, Jun Ma
VSRank: A Novel Framework for Ranking-Based Collaborative Filtering. ACM Trans. Intell. Syst. Technol. 5 (3) (2014)
Fei Liu, Gongping Yang, Yilong Yin, Shuaiqiang Wang
Singular value decomposition based minutiae matching method for finger vein recognition. Neurocomputing 145 (2014)
Ruzhi Xu, Shuaiqiang Wang, Xuwei Zheng, Yinong Chen
Distributed collaborative filtering with singular ratings for large scale recommendation. J. Syst. Softw. 95 (2014)
Byron J. Gao, David Buttler, David C. Anastasiu, Shuaiqiang Wang, Peng Zhang, Joey Jan
User-Centric Organization of Search Results. IEEE Internet Comput. 17 (3) (2013)
Jiankai Sun, Shuaiqiang Wang, Byron J. Gao, Jun Ma
Learning to rank for hybrid recommendation. CIKM (2012)
Chaoran Cui, Jun Ma, Shuaiqiang Wang, Shuai Gao, Tao Lian
Semantically coherent image annotation with a learning-based keyword propagation strategy. CIKM (2012)
Shuaiqiang Wang, Byron J. Gao, Shuangling Wang, Guibao Cao, Yilong Yin
Polygene-based evolution: a novel framework for evolutionary algorithms. CIKM (2012)
Shuaiqiang Wang, Xiaoming Xi, Yilong Yin
Importance weighted passive learning. CIKM (2012)
Shuaiqiang Wang, Jiankai Sun, Byron J. Gao, Jun Ma
Adapting vector space model to ranking-based collaborative filtering. CIKM (2012)
Shuaiqiang Wang, Byron J. Gao, Ke Wang, Hady Wirawan Lauw
Parallel learning to rank for information retrieval. SIGIR (2011)
Shuaiqiang Wang, Byron J. Gao, Ke Wang, Hady Wirawan Lauw
CCRank: Parallel Learning to Rank with Cooperative Coevolution. AAAI (2011)
Zhaochun Ren, Jun Ma, Shuaiqiang Wang, Yang Liu
Summarizing web forum threads based on a latent topic propagation process. CIKM (2011)
Shuaiqiang Wang, Jun Ma, Qiang He, Jiancheng Wan
Formal behavior modeling and effective automatic refinement. Inf. Sci. 180 (20) (2010)
Xiaofei Niu, Jun Ma, Qiang He, Shuaiqiang Wang, Dongmei Zhang
Learning to Detect Web Spam by Genetic Programming. WAIM (2010)
Shuaiqiang Wang, Jun Ma, Jiming Liu, Xiaofei Niu
Evolving choice structures for genetic programming. Inf. Process. Lett. 110 (20) (2010)
Qiang He, Jun Ma, Shuaiqiang Wang
Directly optimizing evaluation measures in learning to rank based on the clonal selection algorithm. CIKM (2010)
Shuaiqiang Wang, Jun Ma, Qiang He
An immune programming-based ranking function discovery approach for effective information retrieval. Expert Syst. Appl. 37 (8) (2010)
Shuaiqiang Wang, Jun Ma, Jiming Liu
Learning to rank using evolutionary computation: immune programming or genetic programming? CIKM (2009)

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Publication Activity (10 Years)

Top Topics

Top Venues

Shuaiqiang Wang