Shuaiqiang Wang
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
102
Venues
20
Active years
2007–2026
Best venue rank
A*
Where they publish
Papers
102 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | AAAI | VPN: Visual Prompt Navigation. | Shuo Feng, Zihan Wang, Yuchen Li, Rui Kong, Hengyi Cai, Shuaiqiang Wang, Gim Hee Lee, Piji Li, Shuqiang Jiang |
| 2026 | AAAI | Efficient Thought Space Exploration Through Strategic Intervention. | Ziheng Li, Hengyi Cai, Xiaochi Wei, Yuchen Li, Shuaiqiang Wang, Zhi-Hong Deng, Dawei Yin |
| 2026 | AAAI | AdaFuse: Accelerating Dynamic Adapter Inference via Token-Level Pre-Gating and Fused Kernel Optimization. | Qiyang Li, Rui Kong, Yuchen Li, Hengyi Cai, Shuaiqiang Wang, Linghe Kong, Guihai Chen, Dawei Yin |
| 2026 | AAAI | Thinking Forward and Backward: Multi-Objective Reinforcement Learning for Retrieval-Augmented Reasoning. | Wenda Wei, Yu-An Liu, Ruqing Zhang, Jiafeng Guo, Lixin Su, Shuaiqiang Wang, Dawei Yin, Maarten de Rijke, Xueqi Cheng |
| 2026 | AAAI | Beyond Step Pruning: Information Theory Based Step-level Optimization for Self-Refining Large Language Models. | Jinman Zhao, Erxue Min, Hui Wu, Ziheng Li, Zexu Sun, Hengyi Cai, Shuaiqiang Wang, Xu Chen, Gerald Penn |
| 2026 | ACL | MatchTIR: Fine-Grained Supervision for Tool-Integrated Reasoning via Bipartite Matching. | Changle Qu, Sunhao Dai, Hengyi Cai, Jun Xu, Shuaiqiang Wang, Dawei Yin |
| 2026 | ACL | Adversarial Yet Cooperative: Multi-Perspective Reasoning in Retrieved-Augmented Language Models. | Can Xu, Lingyong Yan, Jiayi Wu, Haosen Wang, Shuaiqiang Wang, Yuchen Li, Jizhou Huang, Dawei Yin, Xiang Li |
| 2026 | ACL | Reinforced Efficient Reasoning via Semantically Diverse Exploration. | Ziqi Zhao, Zhaochun Ren, Jiahong Zou, Liu Yang, Zhiwei Xu, Xuri Ge, Zhumin Chen, Xinyu Ma, Daiting Shi, Shuaiqiang Wang, Dawei Yin, Xin Xin |
| 2026 | ECIR | LLM-Based Listwise Reranking Under the Effect of Positional Bias. | Jingfen Qiao, Jin Huang, Xinyu Ma, Shuaiqiang Wang, Dawei Yin, Evangelos Kanoulas, Andrew Yates |
| 2026 | KDD | Retain to Refine: Adaptive Online Question Answering via Query Routing and Long-Short Memory. | Yuchen Li, Jiamin Chen, Xinran Chen, Zhiyu Li, Haojie Zhang, Rui Kong, Jiayi Li, Xinyu Ma, Hengyi Cai, Lixin Su, Shuaiqiang Wang, Jiashu Zhao, Yongqi Zhang, Haoyi Xiong, Linghe Kong, Lei Chen, Dawei Yin |
| 2026 | KDD | VideoRAG: Retrieval-Augmented Generation with Extreme Long-Context Videos. | Xubin Ren, Lingrui Xu, Long Xia, Shuaiqiang Wang, Dawei Yin, Chao Huang |
| 2026 | WWW | Accurate and Efficient Personalized Query Rewriting in Baidu Search. | Xu Chu, Angela Li, Jiaming Zhang, Wei Li, Zhijie Tan, Dawei Yin, Shuaiqiang Wang, Daiting Shi |
| 2026 | WWW | Probe-and-Fetch: Dynamic KV Cache Pruning for Accelerated Long-Context Inference in Web-Scale AI Search. | Yuchen Li, Rui Kong, Xinran Chen, Chengzhe Zhang, Jiamin Chen, Cheng Deng, Xinyu Ma, Haojie Zhang, Tianhao Peng, Hengyi Cai, Shuaiqiang Wang, Jiashu Zhao, Yongqi Zhang, Haoyi Xiong, Jimmy Xiangji Huang, Lei Chen, Jun Wang, Dawei Yin |
| 2026 | WWW | Model Editing for New Document Integration in Generative Information Retrieval. | Zhen Zhang, Zihan Wang, Xinyu Ma, Shuaiqiang Wang, Dawei Yin, Xin Xin, Pengjie Ren, Maarten de Rijke, Zhaochun Ren |
| 2026 | SIGIR | DeepResearch-9K: A Challenging Benchmark Dataset of Deep-Research Agent. | Tongzhou Wu, Yuhao Wang, Xinyu Ma, Xiuqiang He, Shuaiqiang Wang, Dawei Yin, Xiangyu Zhao |
| 2026 | WSDM | Towards Next-Generation Recommender Systems: A Benchmark for Personalized Recommendation Assistant with LLMs. | Jiani Huang, Shijie Wang, Liangbo Ning, Wenqi Fan, Shuaiqiang Wang, Dawei Yin, Qing Li |
| 2025 | ACL | Knowledge Graph Retrieval-Augmented Generation for LLM-based Recommendation. | Shijie Wang, Wenqi Fan, Yue Feng, Shanru Lin, Xinyu Ma, Shuaiqiang Wang, Dawei Yin |
| 2025 | ACL | Proactive Guidance of Multi-Turn Conversation in Industrial Search. | Xiaoyu Li, Xiao Li, Li Gao, Yiding Liu, Xiaoyang Wang, Shuaiqiang Wang, Junfeng Wang, Dawei Yin |
| 2025 | ACL | LLMs + Persona-Plug = Personalized LLMs. | Jiongnan Liu, Yutao Zhu, Shuting Wang, Xiaochi Wei, Erxue Min, Yu Lu, Shuaiqiang Wang, Dawei Yin, Zhicheng Dou |
| 2025 | ACL | Sliding Windows Are Not the End: Exploring Full Ranking with Long-Context Large Language Models. | Wenhan Liu, Xinyu Ma, Yutao Zhu, Ziliang Zhao, Shuaiqiang Wang, Dawei Yin, Zhicheng Dou |
| 2025 | ACL | Retrieval Models Aren't Tool-Savvy: Benchmarking Tool Retrieval for Large Language Models. | Zhengliang Shi, Yuhan Wang, Lingyong Yan, Pengjie Ren, Shuaiqiang Wang, Dawei Yin, Zhaochun Ren |
| 2025 | ACL | Enhancing Retrieval-Augmented Generation via Evidence Tree Search. | Hao Sun, Hengyi Cai, Yuchen Li, Xuanbo Fan, Xiaochi Wei, Shuaiqiang Wang, Yan Zhang, Dawei Yin |
| 2025 | ACL | Task Knowledge Injection via Interpolations and Reinstatement for Large Language Model Generalization. | Yukun Zhao, Lingyong Yan, Zhenyang Li, Shuaiqiang Wang, Zhumin Chen, Zhaochun Ren, Dawei Yin |
| 2025 | ACL | Divide-Then-Aggregate: An Efficient Tool Learning Method via Parallel Tool Invocation. | Dongsheng Zhu, Weixian Shi, Zhengliang Shi, Zhaochun Ren, Shuaiqiang Wang, Lingyong Yan, Dawei Yin |
| 2025 | CIKM | Advancing Temporal Sensitive Question Answering through Progressive Multi-Step Reflection. | Ziyang Chen, Erxue Min, Xiang Zhao, Yunxin Li, Xin Jia, Jinzhi Liao, Shuaiqiang Wang, Baotian Hu, Dawei Yin |
| 2025 | CIKM | CLUE: Using Large Language Models for Judging Document Usefulness in Web Search Evaluation. | Xingzhu Wang, Erhan Zhang, Yiqun Chen, Jinghan Xuan, Yucheng Hou, Yitong Xu, Ying Nie, Shuaiqiang Wang, Dawei Yin, Jiaxin Mao |
| 2025 | CIKM | Leveraging Generative Models for Real-Time Query-Driven Text Summarization in Large-Scale Web Search. | Zeyu Xiong, Yixuan Nan, Li Gao, Hengzhu Tang, Shuaiqiang Wang, Junfeng Wang, Dawei Yin |
| 2025 | EMNLP | CoRanking: Collaborative Ranking with Small and Large Ranking Agents. | Wenhan Liu, Xinyu Ma, Yutao Zhu, Lixin Su, Shuaiqiang Wang, Dawei Yin, Zhicheng Dou |
| 2025 | EMNLP | CTR-Guided Generative Query Suggestion in Conversational Search. | Erxue Min, Hsiu-Yuan Huang, Xihong Yang, Min Yang, Xin Jia, Yunfang Wu, Hengyi Cai, Junfeng Wang, Shuaiqiang Wang, Dawei Yin |
| 2025 | EMNLP | TP-RAG: Benchmarking Retrieval-Augmented Large Language Model Agents for Spatiotemporal-Aware Travel Planning. | Hang Ni, Fan Liu, Xinyu Ma, Lixin Su, Shuaiqiang Wang, Dawei Yin, Hui Xiong, Hao Liu |
| 2025 | EMNLP | Uplift-RAG: Uplift-Driven Knowledge Preference Alignment for Retrieval-Augmented Generation. | Changle Qu, Sunhao Dai, Hengyi Cai, Yiyang Cheng, Jun Xu, Shuaiqiang Wang, Dawei Yin |
| 2025 | EMNLP | Mitigating Hallucinations in Large Vision-Language Models via Entity-Centric Multimodal Preference Optimization. | Jiulong Wu, Zhengliang Shi, Shuaiqiang Wang, Jizhou Huang, Dawei Yin, Lingyong Yan, Min Cao, Min Zhang |
| 2025 | EMNLP | Reasoning-to-Defend: Safety-Aware Reasoning Can Defend Large Language Models from Jailbreaking. | Junda Zhu, Lingyong Yan, Shuaiqiang Wang, Dawei Yin, Lei Sha |
| 2025 | ICDE | M | Yuchen Li, Hao Zhang, Yongqi Zhang, Xinyu Ma, Wenwen Ye, Naifei Song, Shuaiqiang Wang, Haoyi Xiong, Dawei Yin, Lei Chen |
| 2025 | ICDE | DaRec: A Disentangled Alignment Framework for Large Language Model and Recommender System. | Xihong Yang, Heming Jing, Zixing Zhang, Jindong Wang, Huakang Niu, Shuaiqiang Wang, Yu Lu, Junfeng Wang, Dawei Yin, Xinwang Liu, En Zhu, Defu Lian, Erxue Min |
| 2025 | ICLR | From Exploration to Mastery: Enabling LLMs to Master Tools via Self-Driven Interactions. | Changle Qu, Sunhao Dai, Xiaochi Wei, Hengyi Cai, Shuaiqiang Wang, Dawei Yin, Jun Xu, Ji-Rong Wen |
| 2025 | KDD | RankExpert: A Mixture of Textual-and-Behavioral Experts for Multi-Objective Learning-to-Rank in Web Search. | Yuchen Li, Hao Zhang, Yongqi Zhang, Hengyi Cai, Mingxin Cai, Shuaiqiang Wang, Haoyi Xiong, Linghe Kong, Dawei Yin, Lei Chen |
| 2025 | KDD | FULTR: A Large-Scale Fusion Learning to Rank Dataset and Its Application for Satisfaction-Oriented Ranking. | Yuchen Li, Hao Zhang, Haojie Zhang, Hengyi Cai, Xinyu Ma, Shuaiqiang Wang, Haoyi Xiong, Zhaochun Ren, Maarten de Rijke, Dawei Yin |
| 2025 | KDD | Multi-Agent Proactive Information Seeking with Adaptive LLM Orchestration for Non-Factoid Question Answering. | Xinran Chen, Yuchen Li, Hengyi Cai, Zhuoran Ma, Xuanang Chen, Haoyi Xiong, Shuaiqiang Wang, Ben He, Le Sun, Dawei Yin |
| 2025 | KDD | RankElectra: Semi-supervised Pre-training of Learning-to-Rank Electra for Web-scale Search. | Yuchen Li, Haoyi Xiong, Yongqi Zhang, Jiang Bian, Tianhao Peng, Xuhong Li, Shuaiqiang Wang, Linghe Kong, Dawei Yin |
| 2025 | KDD | Generative Retrieval for Book Search. | Yubao Tang, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Shihao Liu, Shuaiqiang Wang, Dawei Yin, Xueqi Cheng |
| 2025 | KDD | Variational Graph Autoencoder for Heterogeneous Information Networks with Missing and Inaccurate Attributes. | Yige Zhao, Jianxiang Yu, Yao Cheng, Chengcheng Yu, Yiding Liu, Xiang Li, Shuaiqiang Wang |
| 2025 | NAACL | PA-RAG: RAG Alignment via Multi-Perspective Preference Optimization. | Jiayi Wu, Hengyi Cai, Lingyong Yan, Hao Sun, Xiang Li, Shuaiqiang Wang, Dawei Yin, Ming Gao |
| 2025 | SIGIR | Replication and Exploration of Generative Retrieval over Dynamic Corpora. | Zhen Zhang, Xinyu Ma, Weiwei Sun, Pengjie Ren, Zhumin Chen, Shuaiqiang Wang, Dawei Yin, Maarten de Rijke, Zhaochun Ren |
| 2024 | ACL | 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 |
| 2024 | ACL | The Good and The Bad: Exploring Privacy Issues in Retrieval-Augmented Generation (RAG). | Shenglai Zeng, Jiankun Zhang, Pengfei He, Yiding Liu, Yue Xing, Han Xu, Jie Ren, Yi Chang, Shuaiqiang Wang, Dawei Yin, Jiliang Tang |
| 2024 | CIKM | Towards Completeness-Oriented Tool Retrieval for Large Language Models. | Changle Qu, Sunhao Dai, Xiaochi Wei, Hengyi Cai, Shuaiqiang Wang, Dawei Yin, Jun Xu, Ji-Rong Wen |
| 2024 | CIKM | Hyperbolic Contrastive Learning for Cross-Domain Recommendation. | Xin Yang, Heng Chang, Zhijian Lai, Jinze Yang, Xingrun Li, Yu Lu, Shuaiqiang Wang, Dawei Yin, Erxue Min |
| 2024 | COLING | 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 |
| 2024 | EMNLP | AdaSwitch: Adaptive Switching between Small and Large Agents for Effective Cloud-Local Collaborative Learning. | Hao Sun, Jiayi Wu, Hengyi Cai, Xiaochi Wei, Yue Feng, Bo Wang, Shuaiqiang Wang, Yan Zhang, Dawei Yin |
| 2024 | EMNLP | 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 |
| 2024 | EMNLP | 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 |
| 2024 | ICDE | LT | Xiaokai Chu, Changying Hao, Shuaiqiang Wang, Dawei Yin, Jiashu Zhao, Lixin Zou, Chenliang Li |
| 2024 | IJCAI | MPGraf: a Modular and Pre-trained Graphformer for Learning to Rank at Web-scale (Extended Abstract). | Yuchen Li, Haoyi Xiong, Linghe Kong, Zeyi Sun, Hongyang Chen, Shuaiqiang Wang, Dawei Yin |
| 2024 | IJCAI | GS2P: A Generative Pre-trained Learning to Rank Model with Over-parameterization for Web-Scale Search (Extended Abstract). | Yuchen Li, Haoyi Xiong, Linghe Kong, Jiang Bian, Shuaiqiang Wang, Guihai Chen, Dawei Yin |
| 2024 | NAACL | 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 |
| 2024 | NAACL | 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 |
| 2024 | NAACL | 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 |
| 2024 | SIGIR | Unsupervised Large Language Model Alignment for Information Retrieval via Contrastive Feedback. | Qian Dong, Yiding Liu, Qingyao Ai, Zhijing Wu, Haitao Li, Yiqun Liu, Shuaiqiang Wang, Dawei Yin, Shaoping Ma |
| 2023 | ACL | 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 |
| 2023 | CIKM | 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 |
| 2023 | DSAA | GS | Yuchen Li, Haoyi Xiong, Linghe Kong, Jiang Bian, Shuaiqiang Wang, Guihai Chen, Dawei Yin |
| 2023 | EMNLP | 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 |
| 2023 | EMNLP | 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 |
| 2023 | ICDM | 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 |
| 2023 | KDD | S | Yuchen Li, Haoyi Xiong, Linghe Kong, Qingzhong Wang, Shuaiqiang Wang, Guihai Chen, Dawei Yin |
| 2023 | KDD | 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 |
| 2023 | SIGIR | Graph Enhanced BERT for Query Understanding. | Juanhui Li, Wei Zeng, Suqi Cheng, Yao Ma, Jiliang Tang, Shuaiqiang Wang, Dawei Yin |
| 2022 | CIKM | Approximated Doubly Robust Search Relevance Estimation. | Lixin Zou, Changying Hao, Hengyi Cai, Shuaiqiang Wang, Suqi Cheng, Zhicong Cheng, Wenwen Ye, Simiu Gu, Dawei Yin |
| 2022 | SIGIR | 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 |
| 2022 | WSDM | Fast Semantic Matching via Flexible Contextualized Interaction. | Wenwen Ye, Yiding Liu, Lixin Zou, Hengyi Cai, Suqi Cheng, Shuaiqiang Wang, Dawei Yin |
| 2021 | KDD | 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 |
| 2021 | KDD | 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 |
| 2021 | SIGIR | 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 |
| 2020 | CIKM | 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 |
| 2020 | SIGIR | Time Matters: Sequential Recommendation with Complex Temporal Information. | Wenwen Ye, Shuaiqiang Wang, Xu Chen, Xuepeng Wang, Zheng Qin, Dawei Yin |
| 2020 | WSDM | Hierarchical User Profiling for E-commerce Recommender Systems. | Yulong Gu, Zhuoye Ding, Shuaiqiang Wang, Dawei Yin |
| 2019 | ECIR | Vectors of Pairwise Item Preferences. | Gaurav Pandey, Shuaiqiang Wang, Zhaochun Ren, Yi Chang |
| 2018 | WWW | Finding Tours for a Set of Interests. | Mohamed Abdel Maksoud, Gaurav Pandey, Shuaiqiang Wang |
| 2018 | WWW | Etymo: A New Discovery Engine for AI Research. | Weijian Zhang, Jonathan Deakin, Nicholas J. Higham, Shuaiqiang Wang |
| 2017 | WWW | Learning to Recommend Accurate and Diverse Items. | Peizhe Cheng, Shuaiqiang Wang, Jun Ma, Jiankai Sun, Hui Xiong |
| 2017 | SIGIR | CitySearcher: A City Search Engine For Interests. | Mohamed Abdel Maksoud, Gaurav Pandey, Shuaiqiang Wang |
| 2017 | WEBIST | A Serendipity-Oriented Greedy Algorithm for Recommendations. | Denis Kotkov, Jari Veijalainen, Shuaiqiang Wang |
| 2017 | WSDM | Social Collaborative Viewpoint Regression with Explainable Recommendations. | Zhaochun Ren, Shangsong Liang, Piji Li, Shuaiqiang Wang, Maarten de Rijke |
| 2016 | WEBIST | Challenges of Serendipity in Recommender Systems. | Denis Kotkov, Jari Veijalainen, Shuaiqiang Wang |
| 2016 | WEBIST | Cross-Domain Recommendations with Overlapping Items. | Denis Kotkov, Shuaiqiang Wang, Jari Veijalainen |
| 2016 | WEBIST | Improving Serendipity and Accuracy in Cross-Domain Recommender Systems. | Denis Kotkov, Shuaiqiang Wang, Jari Veijalainen |
| 2015 | ISADS | Tourism Service Composition Based on Multi-objective Optimization. | Xuwei Zheng, Ruzhi Xu, Yun Peng, Shuaiqiang Wang |
| 2015 | SIGIR | Listwise Collaborative Filtering. | Shanshan Huang, Shuaiqiang Wang, Tie-Yan Liu, Jun Ma, Zhumin Chen, Jari Veijalainen |
| 2012 | CIKM | Semantically coherent image annotation with a learning-based keyword propagation strategy. | Chaoran Cui, Jun Ma, Shuaiqiang Wang, Shuai Gao, Tao Lian |
| 2012 | CIKM | Learning to rank for hybrid recommendation. | Jiankai Sun, Shuaiqiang Wang, Byron J. Gao, Jun Ma |
| 2012 | CIKM | Polygene-based evolution: a novel framework for evolutionary algorithms. | Shuaiqiang Wang, Byron J. Gao, Shuangling Wang, Guibao Cao, Yilong Yin |
| 2012 | CIKM | Adapting vector space model to ranking-based collaborative filtering. | Shuaiqiang Wang, Jiankai Sun, Byron J. Gao, Jun Ma |
| 2012 | CIKM | Importance weighted passive learning. | Shuaiqiang Wang, Xiaoming Xi, Yilong Yin |
| 2011 | AAAI | CCRank: Parallel Learning to Rank with Cooperative Coevolution. | Shuaiqiang Wang, Byron J. Gao, Ke Wang, Hady Wirawan Lauw |
| 2011 | CIKM | Summarizing web forum threads based on a latent topic propagation process. | Zhaochun Ren, Jun Ma, Shuaiqiang Wang, Yang Liu |
| 2011 | SIGIR | Parallel learning to rank for information retrieval. | Shuaiqiang Wang, Byron J. Gao, Ke Wang, Hady Wirawan Lauw |
| 2010 | CIKM | Directly optimizing evaluation measures in learning to rank based on the clonal selection algorithm. | Qiang He, Jun Ma, Shuaiqiang Wang |
| 2009 | CIKM | Learning to rank using evolutionary computation: immune programming or genetic programming? | Shuaiqiang Wang, Jun Ma, Jiming Liu |
| 2007 | SNPD | Formalization of Architecture-Centric Model Mapping Using Category Theory. | Jinkui Hou, Jiancheng Wan, Shuaiqiang Wang |
| 2007 | SNPD | OR-ATP: An Operation Refinement Approach As a Process of Automatic Theorem Proving. | Shuaiqiang Wang, Jiancheng Wan, Jinkui Hou |
| 2007 | SERA | PostB: The Post-condition Extension onto the B-Method. | Shuaiqiang Wang, Ying Li, Guodong Huang |