default search action
Shuaiqiang Wang
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
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) - [c64]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 - [c63]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 - [c62]Changle Qu, Sunhao Dai, Xiaochi Wei, Hengyi Cai, Shuaiqiang Wang, Dawei Yin, Jun Xu, Ji-Rong Wen:
Towards Completeness-Oriented Tool Retrieval for Large Language Models. CIKM 2024: 1930-1940 - [c61]Xin Yang, Heng Chang, Zhijian Lai, Jinze Yang, Xingrun Li, Yu Lu, Shuaiqiang Wang, Dawei Yin, Erxue Min:
Hyperbolic Contrastive Learning for Cross-Domain Recommendation. CIKM 2024: 2920-2929 - [c60]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 - [c59]Hao Sun, Jiayi Wu, Hengyi Cai, Xiaochi Wei, Yue Feng, Bo Wang, Shuaiqiang Wang, Yan Zhang, Dawei Yin:
AdaSwitch: Adaptive Switching between Small and Large Agents for Effective Cloud-Local Collaborative Learning. EMNLP 2024: 8052-8062 - [c58]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. EMNLP 2024: 8211-8227 - [c57]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. EMNLP 2024: 14535-14556 - [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 - [i46]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) - [i45]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) - [i44]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) - [i43]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) - [i42]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) - [i41]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) - [i40]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) - [i39]Xin Yang, Heng Chang, Zhijian Lai, 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) - [i38]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) - [i37]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) - [i36]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) - [i35]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) - [i34]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) - [i33]Changle Qu, Sunhao Dai, Xiaochi Wei, Hengyi Cai, Shuaiqiang Wang, Dawei Yin, Jun Xu, Ji-Rong Wen:
From Exploration to Mastery: Enabling LLMs to Master Tools via Self-Driven Interactions. CoRR abs/2410.08197 (2024) - [i32]Hao Sun, Jiayi Wu, Hengyi Cai, Xiaochi Wei, Yue Feng, Bo Wang, Shuaiqiang Wang, Yan Zhang, Dawei Yin:
AdaSwitch: Adaptive Switching between Small and Large Agents for Effective Cloud-Local Collaborative Learning. CoRR abs/2410.13181 (2024) - [i31]Jiayi Wu, Hao Sun, Hengyi Cai, Lixin Su, Shuaiqiang Wang, Dawei Yin, Xiang Li, Ming Gao:
Cross-model Control: Improving Multiple Large Language Models in One-time Training. CoRR abs/2410.17599 (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]