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2020 – today
- 2024
[j29]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): 169-183 (2024)- [j28]Yuchen Li, Haoyi Xiong, Linghe Kong, Jiang Bian, Shuaiqiang Wang, Guihai Chen, Dawei Yin:
GS2P: a generative pre-trained learning to rank model with over-parameterization for web-scale search. Mach. Learn. 113(8): 5331-5349 (2024) - [j27]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. ACM Trans. Intell. Syst. Technol. 15(2): 20:1-20:38 (2024) - [j26]Xixun Lin, Chuan Zhou, Jia Wu, Lixin Zou, Shirui Pan, Yanan Cao, Bin Wang, Shuaiqiang Wang, Dawei Yin:
Towards Flexible and Adaptive Neural Process for Cold-Start Recommendation. IEEE Trans. Knowl. Data Eng. 36(4): 1815-1828 (2024) - [c59]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. ACL (1) 2024: 3917-3948 - [c58]Shenglai Zeng, Jiankun Zhang, Pengfei He, Yiding Liu, Yue Xing, Han Xu, Jie Ren, Yi Chang, Shuaiqiang Wang, Dawei Yin, Jiliang Tang:
The Good and The Bad: Exploring Privacy Issues in Retrieval-Augmented Generation (RAG). ACL (Findings) 2024: 4505-4524 - [c57]Yukun Zhao, Lingyong Yan, Weiwei Sun, Guoliang Xing, Shuaiqiang Wang, Chong Meng, Zhicong Cheng, Zhaochun Ren, Dawei Yin:
Improving the Robustness of Large Language Models via Consistency Alignment. LREC/COLING 2024: 8931-8941 - [c56]Xiaokai Chu, Changying Hao, Shuaiqiang Wang, Dawei Yin, Jiashu Zhao, Lixin Zou, Chenliang Li:
LT2R: Learning to Online Learning to Rank for Web Search. ICDE 2024: 4733-4746 - [c55]Yuchen Li, Haoyi Xiong, Linghe Kong, Jiang Bian, Shuaiqiang Wang, Guihai Chen, Dawei Yin:
GS2P: A Generative Pre-trained Learning to Rank Model with Over-parameterization for Web-Scale Search (Extended Abstract). IJCAI 2024: 8433-8438 - [c54]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 (Extended Abstract). IJCAI 2024: 8439-8443 - [c53]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. NAACL-HLT (Findings) 2024: 613-625 - [c52]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. NAACL-HLT 2024: 2498-2518 - [c51]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. NAACL-HLT 2024: 7051-7063 - [c50]Zeyuan Zhao, Qingqing Ge, Anfeng Cheng, Yiding Liu, Xiang Li, Shuaiqiang Wang:
HetCAN: A Heterogeneous Graph Cascade Attention Network with Dual-Level Awareness. ECML/PKDD (6) 2024: 57-73 - [c49]Qingqing Ge, Zeyuan Zhao, Yiding Liu, Anfeng Cheng, Xiang Li, Shuaiqiang Wang, Dawei Yin:
PSP: Pre-training and Structure Prompt Tuning for Graph Neural Networks. ECML/PKDD (5) 2024: 423-439 - [c48]Qian Dong, Yiding Liu, Qingyao Ai, Zhijing Wu, Haitao Li, Yiqun Liu, Shuaiqiang Wang, Dawei Yin, Shaoping Ma:
Unsupervised Large Language Model Alignment for Information Retrieval via Contrastive Feedback. SIGIR 2024: 48-58 - [i43]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 abs/2402.11176 (2024) - [i42]Shenglai Zeng, Jiankun Zhang, Pengfei He, Yue Xing, Yiding Liu, Han Xu, Jie Ren, Shuaiqiang Wang, Dawei Yin, Yi Chang, Jiliang Tang:
The Good and The Bad: Exploring Privacy Issues in Retrieval-Augmented Generation (RAG). CoRR abs/2402.16893 (2024) - [i41]Yukun Zhao, Lingyong Yan, Weiwei Sun, Guoliang Xing, Shuaiqiang Wang, Chong Meng, Zhicong Cheng, Zhaochun Ren, Dawei Yin:
Improving the Robustness of Large Language Models via Consistency Alignment. CoRR abs/2403.14221 (2024) - [i40]Xuanfan Ni, Hengyi Cai, Xiaochi Wei, Shuaiqiang Wang, Dawei Yin, Piji Li:
XL2Bench: A Benchmark for Extremely Long Context Understanding with Long-range Dependencies. CoRR abs/2404.05446 (2024) - [i39]Pengyue Jia, Yiding Liu, Xiaopeng Li, Xiangyu Zhao, Yuhao Wang, Yantong Du, Xiao Han, Xuetao Wei, Shuaiqiang Wang, Dawei Yin:
G3: An Effective and Adaptive Framework for Worldwide Geolocalization Using Large Multi-Modality Models. CoRR abs/2405.14702 (2024) - [i38]Changle Qu, Sunhao Dai, Xiaochi Wei, Hengyi Cai, Shuaiqiang Wang, Dawei Yin, Jun Xu, Ji-Rong Wen:
COLT: Towards Completeness-Oriented Tool Retrieval for Large Language Models. CoRR abs/2405.16089 (2024) - [i37]Changle Qu, Sunhao Dai, Xiaochi Wei, Hengyi Cai, Shuaiqiang Wang, Dawei Yin, Jun Xu, Ji-Rong Wen:
Tool Learning with Large Language Models: A Survey. CoRR abs/2405.17935 (2024) - [i36]Xin Yang, Heng Chang, Zhijian La, Jinze Yang, Xingrun Li, Yu Lu, Shuaiqiang Wang, Dawei Yin, Erxue Min:
Hyperbolic Knowledge Transfer in Cross-Domain Recommendation System. CoRR abs/2406.17289 (2024) - [i35]Haoyi Xiong, Jiang Bian, Yuchen Li, Xuhong Li, Mengnan Du, Shuaiqiang Wang, Dawei Yin, Sumi Helal:
When Search Engine Services meet Large Language Models: Visions and Challenges. CoRR abs/2407.00128 (2024) - [i34]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:
DaRec: A Disentangled Alignment Framework for Large Language Model and Recommender System. CoRR abs/2408.08231 (2024) - [i33]Jiongnan Liu, Yutao Zhu, Shuting Wang, Xiaochi Wei, Erxue Min, Yu Lu, Shuaiqiang Wang, Dawei Yin, Zhicheng Dou:
LLMs + Persona-Plug = Personalized LLMs. CoRR abs/2409.11901 (2024) - [i32]Yuchen Li, Haoyi Xiong, Linghe Kong, Zeyi Sun, Hongyang Chen, Shuaiqiang Wang, Dawei Yin:
Pre-trained Graphformer-based Ranking at Web-scale Search (Extended Abstract). CoRR abs/2409.16590 (2024) - [i31]Yuchen Li, Haoyi Xiong, Linghe Kong, Jiang Bian, Shuaiqiang Wang, Guihai Chen, Dawei Yin:
Generative Pre-trained Ranking Model with Over-parameterization at Web-Scale (Extended Abstract). CoRR abs/2409.16594 (2024) - 2023
- [j25]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. SIGKDD Explor. 25(2): 42-61 (2023) - [j24]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): 12542-12555 (2023) - [j23]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): 4:1-4:36 (2023) - [c47]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: 11267-11281 - [c46]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: 441-451 - [c45]Yuchen Li, Haoyi Xiong, Linghe Kong, Jiang Bian, Shuaiqiang Wang, Guihai Chen, Dawei Yin:
GS2P: A Generative Pre-trained Learning to Rank Model with Over-parameterization for Web-Scale Search. DSAA 2023: 1-2 - [c44]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: 14918-14937 - [c43]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: 15128-15145 - [c42]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: 339-348 - [c41]Yuchen Li, Haoyi Xiong, Linghe Kong, Qingzhong Wang, Shuaiqiang Wang, Guihai Chen, Dawei Yin:
S2phere: Semi-Supervised Pre-training for Web Search over Heterogeneous Learning to Rank Data. KDD 2023: 4437-4448 - [c40]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: 4904-4913 - [c39]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 - [c38]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: 635-651 - [c37]Juanhui Li, Wei Zeng, Suqi Cheng, Yao Ma, Jiliang Tang, Shuaiqiang Wang, Dawei Yin:
Graph Enhanced BERT for Query Understanding. SIGIR 2023: 3315-3319 - [i30]Anfeng Cheng, Yiding Liu, Weibin Li, Qian Dong, Shuaiqiang Wang, Zhengjie Huang, Shikun Feng, Zhicong Cheng, Dawei Yin:
Layout-aware Webpage Quality Assessment. CoRR abs/2301.12152 (2023) - [i29]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 abs/2304.04171 (2023) - [i28]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 abs/2305.09598 (2023) - [i27]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 abs/2305.15115 (2023) - [i26]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 abs/2306.01599 (2023) - [i25]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 abs/2306.02371 (2023) - [i24]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 abs/2307.03393 (2023) - [i23]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 abs/2309.01029 (2023) - [i22]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 abs/2309.17078 (2023) - [i21]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 abs/2310.06714 (2023) - [i20]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 abs/2310.16319 (2023) - [i19]Qingqing Ge, Zeyuan Zhao, Yiding Liu, Anfeng Cheng, Xiang Li, Shuaiqiang Wang, Dawei Yin:
Enhancing Graph Neural Networks with Structure-Based Prompt. CoRR abs/2310.17394 (2023) - [i18]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 abs/2310.17918 (2023) - [i17]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 abs/2310.19056 (2023) - [i16]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 abs/2311.01555 (2023) - [i15]Zeyuan Zhao, Qingqing Ge, Anfeng Cheng, Yiding Liu, Xiang Li, Shuaiqiang Wang:
Exploiting Latent Attribute Interaction with Transformer on Heterogeneous Information Networks. CoRR abs/2311.03275 (2023) - [i14]Yige Zhao, Jianxiang Yu, Yao Cheng, Chengcheng Yu, Yiding Liu, Xiang Li, Shuaiqiang Wang:
Self-supervised Heterogeneous Graph Variational Autoencoders. CoRR abs/2311.07929 (2023) - [i13]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 abs/2311.08721 (2023) - [i12]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 abs/2312.09075 (2023) - 2022
- [c36]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: 3756-3765 - [c35]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 - [c34]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: 1490-1501 - [c33]Wenwen Ye, Yiding Liu, Lixin Zou, Hengyi Cai, Suqi Cheng, Shuaiqiang Wang, Dawei Yin:
Fast Semantic Matching via Flexible Contextualized Interaction. WSDM 2022: 1275-1283 - [i11]Juan-Hui Li, Yao Ma, Wei Zeng, Suqi Cheng, Jiliang Tang, Shuaiqiang Wang, Dawei Yin:
Graph Enhanced BERT for Query Understanding. CoRR abs/2204.06522 (2022) - [i10]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 abs/2204.11673 (2022) - [i9]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 abs/2205.09153 (2022) - [i8]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 abs/2205.10137 (2022) - [i7]Shichao Zhu, Chuan Zhou, Anfeng Cheng, Shirui Pan, Shuaiqiang Wang, Dawei Yin, Bin Wang:
Geometry Contrastive Learning on Heterogeneous Graphs. CoRR abs/2206.12547 (2022) - [i6]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 abs/2207.03051 (2022) - [i5]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 abs/2208.07671 (2022) - 2021
- [c32]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: 3365-3375 - [c31]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: 4014-4022 - [c30]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: 275-284 - [i4]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 abs/2105.11108 (2021) - [i3]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 abs/2105.13623 (2021) - [i2]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 abs/2106.03373 (2021) - 2020
- [j22]Denis Kotkov, Jari Veijalainen, Shuaiqiang Wang:
How does serendipity affect diversity in recommender systems? A serendipity-oriented greedy algorithm. Computing 102(2): 393-411 (2020) - [c29]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: 2493-2500 - [c28]Wenwen Ye, Shuaiqiang Wang, Xu Chen, Xuepeng Wang, Zheng Qin, Dawei Yin:
Time Matters: Sequential Recommendation with Complex Temporal Information. SIGIR 2020: 1459-1468 - [c27]Yulong Gu, Zhuoye Ding, Shuaiqiang Wang, Dawei Yin:
Hierarchical User Profiling for E-commerce Recommender Systems. WSDM 2020: 223-231
2010 – 2019
- 2019
- [j21]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: 33778-33786 (2019) - [c26]Gaurav Pandey, Shuaiqiang Wang, Zhaochun Ren, Yi Chang:
Vectors of Pairwise Item Preferences. ECIR (1) 2019: 323-336 - 2018
- [j20]Shuaiqiang Wang, Yilong Yin:
Polygene-based evolutionary algorithms with frequent pattern mining. Frontiers Comput. Sci. 12(5): 950-965 (2018) - [j19]Chaoran Cui, Jialie Shen, Zhumin Chen, Shuaiqiang Wang, Jun Ma:
Learning to rank images for complex queries in concept-based search. Neurocomputing 274: 19-28 (2018) - [j18]Pengjie Ren, Zhumin Chen, Jun Ma, Shuaiqiang Wang, Zhiwei Zhang, Zhaochun Ren, Tinghuai Ma:
User session level diverse reranking of search results. Neurocomputing 274: 66-79 (2018) - [j17]Gaurav Pandey, Zhaochun Ren, Shuaiqiang Wang, Jari Veijalainen, Maarten de Rijke:
Linear feature extraction for ranking. Inf. Retr. J. 21(6): 481-506 (2018) - [c25]Mohamed Abdel Maksoud, Gaurav Pandey, Shuaiqiang Wang:
Finding Tours for a Set of Interests. WWW (Companion Volume) 2018: 215-218 - [c24]Weijian Zhang, Jonathan Deakin, Nicholas J. Higham, Shuaiqiang Wang:
Etymo: A New Discovery Engine for AI Research. WWW (Companion Volume) 2018: 227-230 - [i1]Weijian Zhang, Jonathan Deakin, Nicholas J. Higham, Shuaiqiang Wang:
Etymo: A New Discovery Engine for AI Research. CoRR abs/1801.08573 (2018) - 2017
- [j16]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): 113-128 (2017) - [j15]Fei Cai, Shuaiqiang Wang, Maarten de Rijke:
Behavior-based personalization in web search. J. Assoc. Inf. Sci. Technol. 68(4): 855-868 (2017) - [j14]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): 255-259 (2017) - [c23]Mohamed Abdel Maksoud, Gaurav Pandey, Shuaiqiang Wang:
CitySearcher: A City Search Engine For Interests. SIGIR 2017: 1141-1144 - [c22]Denis Kotkov, Jari Veijalainen, Shuaiqiang Wang:
A Serendipity-Oriented Greedy Algorithm for Recommendations. WEBIST 2017: 32-40 - [c21]Zhaochun Ren, Shangsong Liang, Piji Li, Shuaiqiang Wang, Maarten de Rijke:
Social Collaborative Viewpoint Regression with Explainable Recommendations. WSDM 2017: 485-494 - [c20]Peizhe Cheng, Shuaiqiang Wang, Jun Ma, Jiankai Sun, Hui Xiong:
Learning to Recommend Accurate and Diverse Items. WWW 2017: 183-192 - 2016
- [j13]Denis Kotkov, Shuaiqiang Wang, Jari Veijalainen:
A survey of serendipity in recommender systems. Knowl. Based Syst. 111: 180-192 (2016) - [j12]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): 10:1-10:28 (2016) - [c19]Denis Kotkov, Shuaiqiang Wang, Jari Veijalainen:
Improving Serendipity and Accuracy in Cross-Domain Recommender Systems. WEBIST (Revised Selected Papers) 2016: 105-119 - [c18]Denis Kotkov, Shuaiqiang Wang, Jari Veijalainen:
Cross-Domain Recommendations with Overlapping Items. WEBIST (2) 2016: 131-138 - [c17]Denis Kotkov, Jari Veijalainen, Shuaiqiang Wang:
Challenges of Serendipity in Recommender Systems. WEBIST (2) 2016: 251-256 - 2015
- [j11]Pengjie Ren, Zhumin Chen, Jun Ma, Shuaiqiang Wang, Zhiwei Zhang, Zhaochun Ren:
Mining and ranking users' intents behind queries. Inf. Retr. J. 18(6): 504-529 (2015) - [j10]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): 82-98 (2015) - [j9]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): 27:1-27:22 (2015) - [j8]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): 3152-3165 (2015) - [c16]Xuwei Zheng, Ruzhi Xu, Yun Peng, Shuaiqiang Wang:
Tourism Service Composition Based on Multi-objective Optimization. ISADS 2015: 117-122 - [c15]Shanshan Huang, Shuaiqiang Wang, Tie-Yan Liu, Jun Ma, Zhumin Chen, Jari Veijalainen:
Listwise Collaborative Filtering. SIGIR 2015: 343-352 - 2014
- [j7]Fei Liu, Gongping Yang, Yilong Yin, Shuaiqiang Wang:
Singular value decomposition based minutiae matching method for finger vein recognition. Neurocomputing 145: 75-89 (2014) - [j6]Ruzhi Xu, Shuaiqiang Wang, Xuwei Zheng, Yinong Chen:
Distributed collaborative filtering with singular ratings for large scale recommendation. J. Syst. Softw. 95: 231-241 (2014) - [j5]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): 51:1-51:24 (2014) - 2013
- [j4]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): 52-59 (2013) - 2012
- [c14]Shuaiqiang Wang, Jiankai Sun, Byron J. Gao, Jun Ma:
Adapting vector space model to ranking-based collaborative filtering. CIKM 2012: 1487-1491 - [c13]Jiankai Sun, Shuaiqiang Wang, Byron J. Gao, Jun Ma:
Learning to rank for hybrid recommendation. CIKM 2012: 2239-2242 - [c12]Shuaiqiang Wang, Xiaoming Xi, Yilong Yin:
Importance weighted passive learning. CIKM 2012: 2243-2246 - [c11]Shuaiqiang Wang, Byron J. Gao, Shuangling Wang, Guibao Cao, Yilong Yin:
Polygene-based evolution: a novel framework for evolutionary algorithms. CIKM 2012: 2263-2266 - [c10]Chaoran Cui, Jun Ma, Shuaiqiang Wang, Shuai Gao, Tao Lian:
Semantically coherent image annotation with a learning-based keyword propagation strategy. CIKM 2012: 2423-2426 - 2011
- [c9]Shuaiqiang Wang, Byron J. Gao, Ke Wang, Hady Wirawan Lauw:
CCRank: Parallel Learning to Rank with Cooperative Coevolution. AAAI 2011: 1249-1254 - [c8]Zhaochun Ren, Jun Ma, Shuaiqiang Wang, Yang Liu:
Summarizing web forum threads based on a latent topic propagation process. CIKM 2011: 879-884 - [c7]Shuaiqiang Wang, Byron J. Gao, Ke Wang, Hady Wirawan Lauw:
Parallel learning to rank for information retrieval. SIGIR 2011: 1083-1084 - 2010
- [j3]Shuaiqiang Wang, Jun Ma, Qiang He:
An immune programming-based ranking function discovery approach for effective information retrieval. Expert Syst. Appl. 37(8): 5863-5871 (2010) - [j2]Shuaiqiang Wang, Jun Ma, Jiming Liu, Xiaofei Niu:
Evolving choice structures for genetic programming. Inf. Process. Lett. 110(20): 871-876 (2010) - [j1]Shuaiqiang Wang, Jun Ma, Qiang He, Jiancheng Wan:
Formal behavior modeling and effective automatic refinement. Inf. Sci. 180(20): 3894-3913 (2010) - [c6]Qiang He, Jun Ma, Shuaiqiang Wang:
Directly optimizing evaluation measures in learning to rank based on the clonal selection algorithm. CIKM 2010: 1449-1452 - [c5]Xiaofei Niu, Jun Ma, Qiang He, Shuaiqiang Wang, Dongmei Zhang:
Learning to Detect Web Spam by Genetic Programming. WAIM 2010: 18-27
2000 – 2009
- 2009
- [c4]Shuaiqiang Wang, Jun Ma, Jiming Liu:
Learning to rank using evolutionary computation: immune programming or genetic programming? CIKM 2009: 1879-1882 - 2007
- [c3]Shuaiqiang Wang, Ying Li, Guodong Huang:
PostB: The Post-condition Extension onto the B-Method. SERA 2007: 195-202 - [c2]Jinkui Hou, Jiancheng Wan, Shuaiqiang Wang:
Formalization of Architecture-Centric Model Mapping Using Category Theory. SNPD (1) 2007: 670-675 - [c1]Shuaiqiang Wang, Jiancheng Wan, Jinkui Hou:
OR-ATP: An Operation Refinement Approach As a Process of Automatic Theorem Proving. SNPD (3) 2007: 1078-1083
Coauthor Index
[j29] [j28] [j27] [j26] [c59] [c58] [c57] [c56] [c55] [c54] [c53] [c52] [c51] [c49] [c48] [i43] [i42] [i41] [i40] [i39] [i38] [i37] [i36] [i35] [i34] [i33] [i32] [i31] [j25] [j24] [j23] [c47] [c46] [c45] [c44] [c43] [c42] [c41] [c40] [c39] [c38] [c37] [i30] [i29] [i28] [i27] [i26] [i25] [i24] [i23] [i22] [i21] [i20] [i19] [i18] [i17] [i16] [i13] [i12] [c36] [c35] [c34] [c33] [i11] [i10] [i9] [i8] [i7] [i6] [i5] [c32] [c31] [c30] [i4] [i3] [i2] [c29] [c28] [c27]
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