Shuaiqiang Wang

Orcid: 0000-0002-9212-1947

According to our database1, Shuaiqiang Wang authored at least 117 papers between 2007 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
GS<sup>2</sup>P: a generative pre-trained learning to rank model with over-parameterization for web-scale search.
Mach. Learn., July, 2024

Towards Flexible and Adaptive Neural Process for Cold-Start Recommendation.
IEEE Trans. Knowl. Data Eng., April, 2024

Explainability for Large Language Models: A Survey.
ACM Trans. Intell. Syst. Technol., April, 2024

A Simple yet Effective Framework for Active Learning to Rank.
Mach. Intell. Res., February, 2024

From Exploration to Mastery: Enabling LLMs to Master Tools via Self-Driven Interactions.
CoRR, 2024

Generative Pre-trained Ranking Model with Over-parameterization at Web-Scale (Extended Abstract).
CoRR, 2024

Pre-trained Graphformer-based Ranking at Web-scale Search (Extended Abstract).
CoRR, 2024

LLMs + Persona-Plug = Personalized LLMs.
CoRR, 2024

DaRec: A Disentangled Alignment Framework for Large Language Model and Recommender System.
CoRR, 2024

When Search Engine Services meet Large Language Models: Visions and Challenges.
CoRR, 2024

Hyperbolic Knowledge Transfer in Cross-Domain Recommendation System.
CoRR, 2024

Tool Learning with Large Language Models: A Survey.
CoRR, 2024

COLT: Towards Completeness-Oriented Tool Retrieval for Large Language Models.
CoRR, 2024

G3: An Effective and Adaptive Framework for Worldwide Geolocalization Using Large Multi-Modality Models.
CoRR, 2024

XL<sup>2</sup>Bench: A Benchmark for Extremely Long Context Understanding with Long-range Dependencies.
CoRR, 2024

Unsupervised Large Language Model Alignment for Information Retrieval via Contrastive Feedback.
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

HetCAN: A Heterogeneous Graph Cascade Attention Network with Dual-Level Awareness.
Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2024

PSP: Pre-training and Structure Prompt Tuning for Graph Neural Networks.
Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2024

Knowing What LLMs DO NOT Know: A Simple Yet Effective Self-Detection Method.
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

A Robust Semantics-based Watermark for Large Language Model against Paraphrasing.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2024, 2024

MILL: Mutual Verification with Large Language Models for Zero-Shot Query Expansion.
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

GS2P: A Generative Pre-trained Learning to Rank Model with Over-parameterization for Web-Scale Search (Extended Abstract).
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

MPGraf: a Modular and Pre-trained Graphformer for Learning to Rank at Web-scale (Extended Abstract).
Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

LT<sup>2</sup>R: Learning to Online Learning to Rank for Web Search.
Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

Towards Verifiable Text Generation with Evolving Memory and Self-Reflection.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

KnowTuning: Knowledge-aware Fine-tuning for Large Language Models.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

AdaSwitch: Adaptive Switching between Small and Large Agents for Effective Cloud-Local Collaborative Learning.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Improving the Robustness of Large Language Models via Consistency Alignment.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

Hyperbolic Contrastive Learning for Cross-Domain Recommendation.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

Towards Completeness-Oriented Tool Retrieval for Large Language Models.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

The Good and The Bad: Exploring Privacy Issues in Retrieval-Augmented Generation (RAG).
Proceedings of the Findings of the Association for Computational Linguistics, 2024

Exploring Memorization in Fine-tuned Language Models.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023
COLTR: Semi-Supervised Learning to Rank With Co-Training and Over-Parameterization for Web Search.
IEEE Trans. Knowl. Data Eng., December, 2023

Exploring the Potential of Large Language Models (LLMs)in Learning on Graphs.
SIGKDD Explor., December, 2023

Pre-trained Language Model-based Retrieval and Ranking for Web Search.
ACM Trans. Web, February, 2023

Towards Verifiable Text Generation with Evolving Memory and Self-Reflection.
CoRR, 2023

Self-supervised Heterogeneous Graph Variational Autoencoders.
CoRR, 2023

Exploiting Latent Attribute Interaction with Transformer on Heterogeneous Information Networks.
CoRR, 2023

Instruction Distillation Makes Large Language Models Efficient Zero-shot Rankers.
CoRR, 2023

Enhancing Graph Neural Networks with Structure-Based Prompt.
CoRR, 2023

DiQAD: A Benchmark Dataset for End-to-End Open-domain Dialogue Assessment.
CoRR, 2023

Aligning the Capabilities of Large Language Models with the Context of Information Retrieval via Contrastive Feedback.
CoRR, 2023

I^3 Retriever: Incorporating Implicit Interaction in Pre-trained Language Models for Passage Retrieval.
CoRR, 2023

Pretrained Language Model based Web Search Ranking: From Relevance to Satisfaction.
CoRR, 2023

Layout-aware Webpage Quality Assessment.
CoRR, 2023

Graph Enhanced BERT for Query Understanding.
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.
Proceedings of the Machine Learning and Knowledge Discovery in Databases: Applied Data Science and Demo Track, 2023

Learning to Tokenize for Generative Retrieval.
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.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

S<sup>2</sup>phere: Semi-Supervised Pre-training for Web Search over Heterogeneous Learning to Rank Data.
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.
Proceedings of the IEEE International Conference on Data Mining, 2023

DiQAD: A Benchmark Dataset for Open-domain Dialogue Quality Assessment.
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.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

I3 Retriever: Incorporating Implicit Interaction in Pre-trained Language Models for Passage Retrieval.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Boosting Event Extraction with Denoised Structure-to-Text Augmentation.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022
Geometry Contrastive Learning on Heterogeneous Graphs.
CoRR, 2022

Practical Strategies of Active Learning to Rank for Web Search.
CoRR, 2022

ERNIE-Search: Bridging Cross-Encoder with Dual-Encoder via Self On-the-fly Distillation for Dense Passage Retrieval.
CoRR, 2022

Fast Semantic Matching via Flexible Contextualized Interaction.
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.
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.
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.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

2021
Pre-trained Language Model for Web-scale Retrieval in Baidu Search.
CoRR, 2021

Enhanced Doubly Robust Learning for Debiasing Post-Click Conversion Rate Estimation.
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.
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.
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.
Computing, 2020

Hierarchical User Profiling for E-commerce Recommender Systems.
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.
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.
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.
IEEE Access, 2019

Vectors of Pairwise Item Preferences.
Proceedings of the Advances in Information Retrieval, 2019

2018
Linear feature extraction for ranking.
Inf. Retr. J., 2018

User session level diverse reranking of search results.
Neurocomputing, 2018

Learning to rank images for complex queries in concept-based search.
Neurocomputing, 2018

Polygene-based evolutionary algorithms with frequent pattern mining.
Frontiers Comput. Sci., 2018

Etymo: A New Discovery Engine for AI Research.
Proceedings of the Companion of the The Web Conference 2018 on The Web Conference 2018, 2018

Finding Tours for a Set of Interests.
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).
计算机科学, 2017

Detecting temporal patterns of user queries.
J. Assoc. Inf. Sci. Technol., 2017

Behavior-based personalization in web search.
J. Assoc. Inf. Sci. Technol., 2017

Learning to Recommend Accurate and Diverse Items.
Proceedings of the 26th International Conference on World Wide Web, 2017

Social Collaborative Viewpoint Regression with Explainable Recommendations.
Proceedings of the Tenth ACM International Conference on Web Search and Data Mining, 2017

A Serendipity-Oriented Greedy Algorithm for Recommendations.
Proceedings of the 13th International Conference on Web Information Systems and Technologies, 2017

CitySearcher: A City Search Engine For Interests.
Proceedings of the 40th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2017

2016
Ranking-Oriented Collaborative Filtering: A Listwise Approach.
ACM Trans. Inf. Syst., 2016

A survey of serendipity in recommender systems.
Knowl. Based Syst., 2016

Improving Serendipity and Accuracy in Cross-Domain Recommender Systems.
Proceedings of the Web Information Systems and Technologies, 2016

Cross-Domain Recommendations with Overlapping Items.
Proceedings of the 12th International Conference on Web Information Systems and Technologies, 2016

Challenges of Serendipity in Recommender Systems.
Proceedings of the 12th International Conference on Web Information Systems and Technologies, 2016

2015
A Cooperative Coevolution Framework for Parallel Learning to Rank.
IEEE Trans. Knowl. Data Eng., 2015

A Hybrid Multigroup Coclustering Recommendation Framework Based on Information Fusion.
ACM Trans. Intell. Syst. Technol., 2015

Improving image annotation via ranking-oriented neighbor search and learning-based keyword propagation.
J. Assoc. Inf. Sci. Technol., 2015

Mining and ranking users' intents behind queries.
Inf. Retr. J., 2015

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

Tourism Service Composition Based on Multi-objective Optimization.
Proceedings of the Twelfth IEEE International Symposium on Autonomous Decentralized Systems, 2015

2014
VSRank: A Novel Framework for Ranking-Based Collaborative Filtering.
ACM Trans. Intell. Syst. Technol., 2014

Distributed collaborative filtering with singular ratings for large scale recommendation.
J. Syst. Softw., 2014

Singular value decomposition based minutiae matching method for finger vein recognition.
Neurocomputing, 2014

2013
User-Centric Organization of Search Results.
IEEE Internet Comput., 2013

2012
Importance weighted passive learning.
Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012

Adapting vector space model to ranking-based collaborative filtering.
Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012

Polygene-based evolution: a novel framework for evolutionary algorithms.
Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012

Learning to rank for hybrid recommendation.
Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012

Semantically coherent image annotation with a learning-based keyword propagation strategy.
Proceedings of the 21st ACM International Conference on Information and Knowledge Management, 2012

2011
Parallel learning to rank for information retrieval.
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.
Proceedings of the 20th ACM Conference on Information and Knowledge Management, 2011

CCRank: Parallel Learning to Rank with Cooperative Coevolution.
Proceedings of the Twenty-Fifth AAAI Conference on Artificial Intelligence, 2011

2010
Formal behavior modeling and effective automatic refinement.
Inf. Sci., 2010

Evolving choice structures for genetic programming.
Inf. Process. Lett., 2010

An immune programming-based ranking function discovery approach for effective information retrieval.
Expert Syst. Appl., 2010

Learning to Detect Web Spam by Genetic Programming.
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.
Proceedings of the 19th ACM Conference on Information and Knowledge Management, 2010

2009
Learning to rank using evolutionary computation: immune programming or genetic programming?
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.
Proceedings of the 8th ACIS International Conference on Software Engineering, 2007

Formalization of Architecture-Centric Model Mapping Using Category Theory.
Proceedings of the 8th ACIS International Conference on Software Engineering, 2007

PostB: The Post-condition Extension onto the B-Method.
Proceedings of the 5th ACIS International Conference on Software Engineering Research, 2007


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