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ORCIDWayne Xin Zhao
Xin Zhao 0018
Person information
- affiliation: Renmin University of China, Beijing, China
- affiliation (former): Peking University, School of Electronics Engineering and Computer Science, China
Other persons with the same name
- Xin Zhao — disambiguation page
- Xin Zhao 0001 — Georgia Institute of Technology, Atlanta, GA, USA
- Xin Zhao 0002 — University of New South Wales, Sydney, Australia
- Xin Zhao 0003
![[0000-0003-3610-1519]](https://dblp.org/img/orcid-mark.12x12.png "0000-0003-3610-1519")
— Tencent, Palo Alto, CA, USA (and 2 more) - Xin Zhao 0004 — Xi'an University of Technology, School of Economics and Management, China (and 1 more)
- Xin Zhao 0005 — University of Hanover, Geodetic Institute, Hannover, Germany
- Xin Zhao 0006 — Tianjin University, School of Electronic and Information Engineering, China
- Xin Zhao 0007 — Dalian University of Technology, School of Software, China
- Xin Zhao 0008 — Wuhan University, State Key Laboratory of Water Resources and Hydropower Engineering Science, Wuhan, China
- Xin Zhao 0009 — Southeast University, School of Electrical Engineering, Nanjing, China
- Xin Zhao 0010 — Nankai University, Tianjin, China
- Xin Zhao 0011 — KTH Royal Institute of Technology, School of Electrical Engineering and Computer Science, Stockholm, Sweden
- Xin Zhao 0012 — Chinese Academy of Sciences, Institute of Automation, Center for Research on Intelligent System and Engineering, Beijing, China (and 2 more)
- Xin Zhao 0013 — University of Queensland, Brisbane, Australia
- Xin Zhao 0014 — Beijing Institute of Technology, School of Information and Electronics, China
- Xin Zhao 0015 — Stony Brook University, Computer Science Department, NY, USA
- Xin Zhao 0016 — University of Michigan, USA
- Xin Zhao 0017 — University of Lille, France
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2020 – today
- 2023
[j36]Xu Chen, Zhenlei Wang, Hongteng Xu, Jingsen Zhang, Yongfeng Zhang, Wayne Xin Zhao, Ji-Rong Wen:
Data Augmented Sequential Recommendation Based on Counterfactual Thinking. IEEE Trans. Knowl. Data Eng. 35(9): 9181-9194 (2023)- [j35]Hui Wang, Kun Zhou, Xin Zhao, Jingyuan Wang, Ji-Rong Wen:
Curriculum Pre-training Heterogeneous Subgraph Transformer for Top-N Recommendation. ACM Trans. Inf. Syst. 41(1): 19:1-19:28 (2023) - [j34]Wayne Xin Zhao, Zihan Lin, Zhichao Feng, Pengfei Wang, Ji-Rong Wen:
A Revisiting Study of Appropriate Offline Evaluation for Top-N Recommendation Algorithms. ACM Trans. Inf. Syst. 41(2): 32:1-32:41 (2023) - [c145]Jiawei Jiang, Chengkai Han, Wayne Xin Zhao, Jingyuan Wang:
PDFormer: Propagation Delay-Aware Dynamic Long-Range Transformer for Traffic Flow Prediction. AAAI 2023: 4365-4373 - [c144]Wenjun Jiang, Wayne Xin Zhao, Jingyuan Wang, Jiawei Jiang:
Continuous Trajectory Generation Based on Two-Stage GAN. AAAI 2023: 4374-4382 - [c143]Junyi Li, Tianyi Tang, Wayne Xin Zhao, Jingyuan Wang, Jian-Yun Nie, Ji-Rong Wen:
The Web Can Be Your Oyster for Improving Language Models. ACL (Findings) 2023: 728-746 - [c142]Ze-Feng Gao, Kun Zhou, Peiyu Liu, Wayne Xin Zhao, Ji-Rong Wen:
Small Pre-trained Language Models Can be Fine-tuned as Large Models via Over-Parameterization. ACL (1) 2023: 3819-3834 - [c141]Ruiyang Ren, Wayne Xin Zhao, Jing Liu, Hua Wu, Ji-Rong Wen, Haifeng Wang:
TOME: A Two-stage Approach for Model-based Retrieval. ACL (1) 2023: 6102-6114 - [c140]Tianyi Tang, Junyi Li, Wayne Xin Zhao, Ji-Rong Wen:
MVP: Multi-task Supervised Pre-training for Natural Language Generation. ACL (Findings) 2023: 8758-8794 - [c139]Yifan Du, Junyi Li, Tianyi Tang, Wayne Xin Zhao, Ji-Rong Wen:
Zero-shot Visual Question Answering with Language Model Feedback. ACL (Findings) 2023: 9268-9281 - [c138]Tianyi Tang, Yushuo Chen, Yifan Du, Junyi Li, Wayne Xin Zhao, Ji-Rong Wen:
Learning to Imagine: Visually-Augmented Natural Language Generation. ACL (1) 2023: 9468-9481 - [c137]Hangyu Guo, Kun Zhou, Wayne Xin Zhao, Qinyu Zhang, Ji-Rong Wen:
Visually-augmented pretrained language models for NLP tasks without images. ACL (1) 2023: 14912-14929 - [c136]Wenqi Sun, Zheng Liu, Xinyan Fan, Ji-Rong Wen, Wayne Xin Zhao:
Towards Efficient and Effective Transformers for Sequential Recommendation. DASFAA (2) 2023: 341-356 - [c135]Jinhao Jiang, Kun Zhou, Xin Zhao, Ji-Rong Wen:
UniKGQA: Unified Retrieval and Reasoning for Solving Multi-hop Question Answering Over Knowledge Graph. ICLR 2023 - [c134]Yifan Li, Kun Zhou, Wayne Xin Zhao, Ji-Rong Wen:
Diffusion Models for Non-autoregressive Text Generation: A Survey. IJCAI 2023: 6692-6701 - [c133]Xiaolei Wang, Kun Zhou, Xinyu Tang, Wayne Xin Zhao, Fan Pan, Zhao Cao, Ji-Rong Wen:
Improving Conversational Recommendation Systems via Counterfactual Data Simulation. KDD 2023: 2398-2408 - [c132]Xin Zhao, Kun Zhou, Beichen Zhang, Zheng Gong, Zhipeng Chen, Yuanhang Zhou, Ji-Rong Wen, Jing Sha, Shijin Wang, Cong Liu, Guoping Hu:
JiuZhang 2.0: A Unified Chinese Pre-trained Language Model for Multi-task Mathematical Problem Solving. KDD 2023: 5660-5672 - [c131]Kun Zhou, Xiao Liu, Yeyun Gong, Wayne Xin Zhao, Daxin Jiang, Nan Duan, Ji-Rong Wen:
MASTER: Multi-task Pre-trained Bottlenecked Masked Autoencoders Are Better Dense Retrievers. ECML/PKDD (2) 2023: 630-647 - [c130]Bowen Zheng, Yupeng Hou, Wayne Xin Zhao, Yang Song, Hengshu Zhu:
Reciprocal Sequential Recommendation. RecSys 2023: 89-100 - [c129]Zhipeng Zhao, Kun Zhou, Xiaolei Wang, Wayne Xin Zhao, Fan Pan, Zhao Cao, Ji-Rong Wen:
Alleviating the Long-Tail Problem in Conversational Recommender Systems. RecSys 2023: 374-385 - [c128]Wenqi Sun, Ruobing Xie, Junjie Zhang, Wayne Xin Zhao, Leyu Lin, Ji-Rong Wen:
Generative Next-Basket Recommendation. RecSys 2023: 737-743 - [c127]Zhen Tian, Ting Bai, Wayne Xin Zhao, Ji-Rong Wen, Zhao Cao:
EulerNet: Adaptive Feature Interaction Learning via Euler's Formula for CTR Prediction. SIGIR 2023: 1376-1385 - [c126]Lanling Xu, Zhen Tian, Gaowei Zhang, Junjie Zhang, Lei Wang, Bowen Zheng, Yifan Li, Jiakai Tang, Zeyu Zhang, Yupeng Hou, Xingyu Pan, Wayne Xin Zhao, Xu Chen, Ji-Rong Wen:
Towards a More User-Friendly and Easy-to-Use Benchmark Library for Recommender Systems. SIGIR 2023: 2837-2847 - [c125]Zhen Tian, Ting Bai, Zibin Zhang, Zhiyuan Xu, Kangyi Lin, Ji-Rong Wen, Wayne Xin Zhao:
Directed Acyclic Graph Factorization Machines for CTR Prediction via Knowledge Distillation. WSDM 2023: 715-723 - [c124]Yupeng Hou, Zhankui He, Julian J. McAuley, Wayne Xin Zhao:
Learning Vector-Quantized Item Representation for Transferable Sequential Recommenders. WWW 2023: 1162-1171 - [i110]Hongpeng Lin, Ludan Ruan, Wenke Xia, Peiyu Liu, Jingyuan Wen, Yixin Xu, Di Hu, Ruihua Song, Wayne Xin Zhao, Qin Jin, Zhiwu Lu:
TikTalk: A Multi-Modal Dialogue Dataset for Real-World Chitchat. CoRR abs/2301.05880 (2023) - [i109]Wenjun Jiang, Wayne Xin Zhao, Jingyuan Wang, Jiawei Jiang:
Continuous Trajectory Generation Based on Two-Stage GAN. CoRR abs/2301.07103 (2023) - [i108]Jiawei Jiang, Chengkai Han, Wayne Xin Zhao, Jingyuan Wang:
PDFormer: Propagation Delay-aware Dynamic Long-range Transformer for Traffic Flow Prediction. CoRR abs/2301.07945 (2023) - [i107]Shanlei Mu, Penghui Wei, Wayne Xin Zhao, Shaoguo Liu, Liang Wang, Bo Zheng:
Hybrid Contrastive Constraints for Multi-Scenario Ad Ranking. CoRR abs/2302.02636 (2023) - [i106]Zican Dong, Tianyi Tang, Junyi Li, Wayne Xin Zhao:
A Survey on Long Text Modeling with Transformers. CoRR abs/2302.14502 (2023) - [i105]Yifan Li, Kun Zhou, Wayne Xin Zhao, Ji-Rong Wen:
Diffusion Models for Non-autoregressive Text Generation: A Survey. CoRR abs/2303.06574 (2023) - [i104]Peiyu Liu, Ze-Feng Gao, Yushuo Chen, Wayne Xin Zhao, Ji-Rong Wen:
Scaling Pre-trained Language Models to Deeper via Parameter-efficient Architecture. CoRR abs/2303.16753 (2023) - [i103]Wayne Xin Zhao, Kun Zhou, Junyi Li, Tianyi Tang, Xiaolei Wang, Yupeng Hou, Yingqian Min, Beichen Zhang, Junjie Zhang, Zican Dong, Yifan Du, Chen Yang, Yushuo Chen, Zhipeng Chen, Jinhao Jiang, Ruiyang Ren, Yifan Li, Xinyu Tang, Zikang Liu, Peiyu Liu, Jian-Yun Nie, Ji-Rong Wen:
A Survey of Large Language Models. CoRR abs/2303.18223 (2023) - [i102]Zhen Tian, Ting Bai, Wayne Xin Zhao, Ji-Rong Wen, Zhao Cao:
EulerNet: Adaptive Feature Interaction Learning via Euler's Formula for CTR Prediction. CoRR abs/2304.10711 (2023) - [i101]Junyi Li, Wayne Xin Zhao, Jian-Yun Nie, Ji-Rong Wen:
RenderDiffusion: Text Generation as Image Generation. CoRR abs/2304.12519 (2023) - [i100]Jingyuan Wang, Jiawei Jiang, Wenjun Jiang, Chengkai Han, Wayne Xin Zhao:
Towards Efficient and Comprehensive Urban Spatial-Temporal Prediction: A Unified Library and Performance Benchmark. CoRR abs/2304.14343 (2023) - [i99]Kun Zhou, Yifan Li, Wayne Xin Zhao, Ji-Rong Wen:
Diffusion-NAT: Self-Prompting Discrete Diffusion for Non-Autoregressive Text Generation. CoRR abs/2305.04044 (2023) - [i98]Chenzhan Shang, Yupeng Hou, Wayne Xin Zhao, Yaliang Li, Jing Zhang:
Multi-grained Hypergraph Interest Modeling for Conversational Recommendation. CoRR abs/2305.04798 (2023) - [i97]Junjie Zhang, Ruobing Xie, Yupeng Hou, Wayne Xin Zhao, Leyu Lin, Ji-Rong Wen:
Recommendation as Instruction Following: A Large Language Model Empowered Recommendation Approach. CoRR abs/2305.07001 (2023) - [i96]Haoyang Huang, Tianyi Tang, Dongdong Zhang, Wayne Xin Zhao, Ting Song, Yan Xia, Furu Wei:
Not All Languages Are Created Equal in LLMs: Improving Multilingual Capability by Cross-Lingual-Thought Prompting. CoRR abs/2305.07004 (2023) - [i95]Yupeng Hou, Junjie Zhang, Zihan Lin, Hongyu Lu, Ruobing Xie, Julian J. McAuley, Wayne Xin Zhao:
Large Language Models are Zero-Shot Rankers for Recommender Systems. CoRR abs/2305.08845 (2023) - [i94]Jinhao Jiang, Kun Zhou, Zican Dong, Keming Ye, Wayne Xin Zhao, Ji-Rong Wen:
StructGPT: A General Framework for Large Language Model to Reason over Structured Data. CoRR abs/2305.09645 (2023) - [i93]Yifan Li, Yifan Du, Kun Zhou, Jinpeng Wang, Wayne Xin Zhao, Ji-Rong Wen:
Evaluating Object Hallucination in Large Vision-Language Models. CoRR abs/2305.10355 (2023) - [i92]Junyi Li, Tianyi Tang, Wayne Xin Zhao, Jingyuan Wang, Jian-Yun Nie, Ji-Rong Wen:
The Web Can Be Your Oyster for Improving Large Language Models. CoRR abs/2305.10998 (2023) - [i91]Ruiyang Ren, Wayne Xin Zhao, Jing Liu, Hua Wu, Ji-Rong Wen, Haifeng Wang:
TOME: A Two-stage Approach for Model-based Retrieval. CoRR abs/2305.11161 (2023) - [i90]Junyi Li, Xiaoxue Cheng, Wayne Xin Zhao, Jian-Yun Nie, Ji-Rong Wen:
HaluEval: A Large-Scale Hallucination Evaluation Benchmark for Large Language Models. CoRR abs/2305.11747 (2023) - [i89]Xiaolei Wang, Xinyu Tang, Wayne Xin Zhao, Jingyuan Wang, Ji-Rong Wen:
Rethinking the Evaluation for Conversational Recommendation in the Era of Large Language Models. CoRR abs/2305.13112 (2023) - [i88]Zhipeng Chen, Kun Zhou, Beichen Zhang, Zheng Gong, Wayne Xin Zhao, Ji-Rong Wen:
ChatCoT: Tool-Augmented Chain-of-Thought Reasoning on Chat-based Large Language Models. CoRR abs/2305.14323 (2023) - [i87]Tianyi Tang, Hongyuan Lu, Yuchen Eleanor Jiang, Haoyang Huang, Dongdong Zhang, Wayne Xin Zhao, Furu Wei:
Not All Metrics Are Guilty: Improving NLG Evaluation with LLM Paraphrasing. CoRR abs/2305.15067 (2023) - [i86]Tianyi Tang, Yushuo Chen, Yifan Du, Junyi Li, Wayne Xin Zhao, Ji-Rong Wen:
Learning to Imagine: Visually-Augmented Natural Language Generation. CoRR abs/2305.16944 (2023) - [i85]Yifan Du, Junyi Li, Tianyi Tang, Wayne Xin Zhao, Ji-Rong Wen:
Zero-shot Visual Question Answering with Language Model Feedback. CoRR abs/2305.17006 (2023) - [i84]Beichen Zhang, Kun Zhou, Xilin Wei, Wayne Xin Zhao, Jing Sha, Shijin Wang, Ji-Rong Wen:
Evaluating and Improving Tool-Augmented Computation-Intensive Math Reasoning. CoRR abs/2306.02408 (2023) - [i83]Lei Wang, Jingsen Zhang, Xu Chen, Yankai Lin, Ruihua Song, Wayne Xin Zhao, Ji-Rong Wen:
RecAgent: A Novel Simulation Paradigm for Recommender Systems. CoRR abs/2306.02552 (2023) - [i82]Xiaolei Wang, Kun Zhou, Xinyu Tang, Wayne Xin Zhao, Fan Pan, Zhao Cao, Ji-Rong Wen:
Improving Conversational Recommendation Systems via Counterfactual Data Simulation. CoRR abs/2306.02842 (2023) - [i81]Wayne Xin Zhao, Kun Zhou, Beichen Zhang, Zheng Gong, Zhipeng Chen, Yuanhang Zhou, Ji-Rong Wen, Jing Sha, Shijin Wang, Cong Liu, Guoping Hu:
JiuZhang 2.0: A Unified Chinese Pre-trained Language Model for Multi-task Mathematical Problem Solving. CoRR abs/2306.11027 (2023) - [i80]Bowen Zheng, Yupeng Hou, Wayne Xin Zhao, Yang Song, Hengshu Zhu:
Reciprocal Sequential Recommendation. CoRR abs/2306.14712 (2023) - [i79]Peiyu Liu, Zikang Liu, Ze-Feng Gao, Dawei Gao, Wayne Xin Zhao, Yaliang Li, Bolin Ding, Ji-Rong Wen:
Do Emergent Abilities Exist in Quantized Large Language Models: An Empirical Study. CoRR abs/2307.08072 (2023) - [i78]Ruiyang Ren, Yuhao Wang, Yingqi Qu, Wayne Xin Zhao, Jing Liu, Hao Tian, Hua Wu, Ji-Rong Wen, Haifeng Wang:
Investigating the Factual Knowledge Boundary of Large Language Models with Retrieval Augmentation. CoRR abs/2307.11019 (2023) - [i77]Zhipeng Zhao, Kun Zhou, Xiaolei Wang, Wayne Xin Zhao, Fan Pan, Zhao Cao, Ji-Rong Wen:
Alleviating the Long-Tail Problem in Conversational Recommender Systems. CoRR abs/2307.11650 (2023) - [i76]Geyang Guo, Jiarong Yang, Fengyuan Lu, Jiaxin Qin, Tianyi Tang, Wayne Xin Zhao:
Towards Effective Ancient Chinese Translation: Dataset, Model, and Evaluation. CoRR abs/2308.00240 (2023) - [i75]Lei Wang, Chen Ma, Xueyang Feng, Zeyu Zhang, Hao Yang, Jingsen Zhang, Zhiyuan Chen, Jiakai Tang, Xu Chen, Yankai Lin, Wayne Xin Zhao, Zhewei Wei, Ji-Rong Wen:
A Survey on Large Language Model based Autonomous Agents. CoRR abs/2308.11432 (2023) - [i74]Jiawei Jiang, Chengkai Han, Wayne Xin Zhao, Jingyuan Wang:
Unified Data Management and Comprehensive Performance Evaluation for Urban Spatial-Temporal Prediction [Experiment, Analysis & Benchmark]. CoRR abs/2308.12899 (2023) - 2022
- [j33]Shuokai Li, Ruobing Xie, Yongchun Zhu, Fuzhen Zhuang, Zhenwei Tang, Wayne Xin Zhao, Qing He:
Self-Supervised learning for Conversational Recommendation. Inf. Process. Manag. 59(6): 103067 (2022) - [j32]Jingyuan Wang, Ning Wu, Wayne Xin Zhao:
Personalized Route Recommendation With Neural Network Enhanced Search Algorithm. IEEE Trans. Knowl. Data Eng. 34(12): 5910-5924 (2022) - [j31]Shanlei Mu, Yaliang Li, Wayne Xin Zhao, Siqing Li, Ji-Rong Wen:
Knowledge-Guided Disentangled Representation Learning for Recommender Systems. ACM Trans. Inf. Syst. 40(1): 6:1-6:26 (2022) - [j30]Siqing Li, Yaliang Li, Wayne Xin Zhao, Bolin Ding, Ji-Rong Wen:
Interpretable Aspect-Aware Capsule Network for Peer Review Based Citation Count Prediction. ACM Trans. Inf. Syst. 40(1): 11:1-11:29 (2022) - [c123]Zheng Gong, Kun Zhou, Wayne Xin Zhao, Jing Sha, Shijin Wang, Ji-Rong Wen:
Continual Pre-training of Language Models for Math Problem Understanding with Syntax-Aware Memory Network. ACL (1) 2022: 5923-5933 - [c122]Kun Zhou, Beichen Zhang, Wayne Xin Zhao, Ji-Rong Wen:
Debiased Contrastive Learning of Unsupervised Sentence Representations. ACL (1) 2022: 6120-6130 - [c121]Shanlei Mu, Yupeng Hou, Wayne Xin Zhao, Yaliang Li, Bolin Ding:
ID-Agnostic User Behavior Pre-training for Sequential Recommendation. CCIR 2022: 16-27 - [c120]Houxing Ren, Jingyuan Wang, Wayne Xin Zhao:
RSD: A Reinforced Siamese Network with Domain Knowledge for Early Diagnosis. CIKM 2022: 1675-1684 - [c119]Changxin Tian, Zihan Lin, Shuqing Bian, Jinpeng Wang, Wayne Xin Zhao:
Temporal Contrastive Pre-Training for Sequential Recommendation. CIKM 2022: 1925-1934 - [c118]Shuqing Bian, Wayne Xin Zhao, Jinpeng Wang, Ji-Rong Wen:
A Relevant and Diverse Retrieval-enhanced Data Augmentation Framework for Sequential Recommendation. CIKM 2022: 2923-2932 - [c117]Xingyu Pan, Yushuo Chen, Changxin Tian, Zihan Lin, Jinpeng Wang, He Hu, Wayne Xin Zhao:
Multimodal Meta-Learning for Cold-Start Sequential Recommendation. CIKM 2022: 3421-3430 - [c116]Wayne Xin Zhao, Yupeng Hou, Xingyu Pan, Chen Yang, Zeyu Zhang, Zihan Lin, Jingsen Zhang, Shuqing Bian, Jiakai Tang, Wenqi Sun, Yushuo Chen, Lanling Xu, Gaowei Zhang, Zhen Tian, Changxin Tian, Shanlei Mu, Xinyan Fan, Xu Chen, Ji-Rong Wen:
RecBole 2.0: Towards a More Up-to-Date Recommendation Library. CIKM 2022: 4722-4726 - [c115]Ze-Feng Gao, Peiyu Liu, Wayne Xin Zhao, Zhong-Yi Lu, Ji-Rong Wen:
Parameter-Efficient Mixture-of-Experts Architecture for Pre-trained Language Models. COLING 2022: 3263-3273 - [c114]Tianyi Tang, Junyi Li, Wayne Xin Zhao, Ji-Rong Wen:
Context-Tuning: Learning Contextualized Prompts for Natural Language Generation. COLING 2022: 6340-6354 - [c113]Yupeng Hou, Xingyu Pan, Wayne Xin Zhao, Shuqing Bian, Yang Song, Tao Zhang, Ji-Rong Wen:
Leveraging Search History for Improving Person-Job Fit. DASFAA (1) 2022: 38-54 - [c112]Tianyi Tang, Junyi Li, Zhipeng Chen, Yiwen Hu, Zhuohao Yu, Wenxun Dai, Wayne Xin Zhao, Jian-Yun Nie, Ji-Rong Wen:
TextBox 2.0: A Text Generation Library with Pre-trained Language Models. EMNLP (Demos) 2022: 435-444 - [c111]Kun Zhou, Yeyun Gong, Xiao Liu, Wayne Xin Zhao, Yelong Shen, Anlei Dong, Jingwen Lu, Rangan Majumder, Ji-Rong Wen, Nan Duan:
SimANS: Simple Ambiguous Negatives Sampling for Dense Text Retrieval. EMNLP (Industry Track) 2022: 548-559 - [c110]Junyi Li, Tianyi Tang, Wayne Xin Zhao, Jian-Yun Nie, Ji-Rong Wen:
ELMER: A Non-Autoregressive Pre-trained Language Model for Efficient and Effective Text Generation. EMNLP 2022: 1044-1058 - [c109]Yupeng Hou, Wayne Xin Zhao, Yaliang Li, Ji-Rong Wen:
Privacy-Preserved Neural Graph Similarity Learning. ICDM 2022: 191-200 - [c108]Yifan Du, Zikang Liu, Junyi Li, Wayne Xin Zhao:
A Survey of Vision-Language Pre-Trained Models. IJCAI 2022: 5436-5443 - [c107]Daoguang Zan, Sirui Wang, Hongzhi Zhang, Kun Zhou, Wei Wu, Wayne Xin Zhao, Bingchao Wu, Bei Guan, Yongji Wang:
Complex Question Answering over Incomplete Knowledge Graph as N-ary Link Prediction. IJCNN 2022: 1-8 - [c106]Yupeng Hou, Shanlei Mu, Wayne Xin Zhao, Yaliang Li, Bolin Ding, Ji-Rong Wen:
Towards Universal Sequence Representation Learning for Recommender Systems. KDD 2022: 585-593 - [c105]Xiaolei Wang, Kun Zhou, Ji-Rong Wen, Wayne Xin Zhao:
Towards Unified Conversational Recommender Systems via Knowledge-Enhanced Prompt Learning. KDD 2022: 1929-1937 - [c104]Zihan Lin, Hui Wang, Jingshu Mao, Wayne Xin Zhao, Cheng Wang, Peng Jiang, Ji-Rong Wen:
Feature-aware Diversified Re-ranking with Disentangled Representations for Relevant Recommendation. KDD 2022: 3327-3335 - [c103]Houxing Ren, Jingyuan Wang, Wayne Xin Zhao:
Generative Adversarial Networks Enhanced Pre-training for Insufficient Electronic Health Records Modeling. KDD 2022: 3810-3818 - [c102]Wayne Xin Zhao, Kun Zhou, Zheng Gong, Beichen Zhang, Yuanhang Zhou, Jing Sha, Zhigang Chen, Shijin Wang, Cong Liu, Ji-Rong Wen:
JiuZhang: A Chinese Pre-trained Language Model for Mathematical Problem Understanding. KDD 2022: 4571-4581 - [c101]Jinhao Jiang, Kun Zhou, Ji-Rong Wen, Wayne Xin Zhao:
$Great Truths are Always Simple: $ A Rather Simple Knowledge Encoder for Enhancing the Commonsense Reasoning Capacity of Pre-Trained Models. NAACL-HLT (Findings) 2022: 1730-1741 - [c100]Junyi Li, Tianyi Tang, Jian-Yun Nie, Ji-Rong Wen, Xin Zhao:
Learning to Transfer Prompts for Text Generation. NAACL-HLT 2022: 3506-3518 - [c99]Junyi Li, Tianyi Tang, Zheng Gong, Lixin Yang, Zhuohao Yu, Zhipeng Chen, Jingyuan Wang, Xin Zhao, Ji-Rong Wen:
ElitePLM: An Empirical Study on General Language Ability Evaluation of Pretrained Language Models. NAACL-HLT 2022: 3519-3539 - [c98]Chen Yang, Yupeng Hou, Yang Song, Tao Zhang, Ji-Rong Wen, Wayne Xin Zhao:
Modeling Two-Way Selection Preference for Person-Job Fit. RecSys 2022: 102-112 - [c97]Yupeng Hou, Binbin Hu, Wayne Xin Zhao, Zhiqiang Zhang, Jun Zhou, Ji-Rong Wen:
Neural Graph Matching for Pre-training Graph Neural Networks. SDM 2022: 172-180 - [c96]Changxin Tian, Yuexiang Xie, Yaliang Li, Nan Yang, Wayne Xin Zhao:
Learning to Denoise Unreliable Interactions for Graph Collaborative Filtering. SIGIR 2022: 122-132 - [c95]Shanlei Mu, Yaliang Li, Wayne Xin Zhao, Jingyuan Wang, Bolin Ding, Ji-Rong Wen:
Alleviating Spurious Correlations in Knowledge-aware Recommendations through Counterfactual Generator. SIGIR 2022: 1401-1411 - [c94]Xinyan Fan, Jianxun Lian, Wayne Xin Zhao, Zheng Liu, Chaozhuo Li, Xing Xie:
Ada-Ranker: A Data Distribution Adaptive Ranking Paradigm for Sequential Recommendation. SIGIR 2022: 1599-1610 - [c93]Yupeng Hou, Binbin Hu, Zhiqiang Zhang, Wayne Xin Zhao:
CORE: Simple and Effective Session-based Recommendation within Consistent Representation Space. SIGIR 2022: 1796-1801 - [c92]Yuanhang Zhou, Kun Zhou, Wayne Xin Zhao, Cheng Wang, Peng Jiang, He Hu:
C²-CRS: Coarse-to-Fine Contrastive Learning for Conversational Recommender System. WSDM 2022: 1488-1496 - [c91]Zihan Lin, Changxin Tian, Yupeng Hou, Wayne Xin Zhao:
Improving Graph Collaborative Filtering with Neighborhood-enriched Contrastive Learning. WWW 2022: 2320-2329 - [c90]Kun Zhou, Hui Yu, Wayne Xin Zhao, Ji-Rong Wen:
Filter-enhanced MLP is All You Need for Sequential Recommendation. WWW 2022: 2388-2399 - [i73]Yuanhang Zhou, Kun Zhou, Wayne Xin Zhao, Cheng Wang, Peng Jiang, He Hu:
C2-CRS: Coarse-to-Fine Contrastive Learning for Conversational Recommender System. CoRR abs/2201.02732 (2022) - [i72]Junyi Li, Tianyi Tang, Wayne Xin Zhao, Jian-Yun Nie, Ji-Rong Wen:
A Survey of Pretrained Language Models Based Text Generation. CoRR abs/2201.05273 (2022) - [i71]Tianyi Tang, Junyi Li, Wayne Xin Zhao:
Context-Tuning: Learning Contextualized Prompts for Natural Language Generation. CoRR abs/2201.08670 (2022) - [i70]Zihan Lin, Changxin Tian, Yupeng Hou, Wayne Xin Zhao:
Improving Graph Collaborative Filtering with Neighborhood-enriched Contrastive Learning. CoRR abs/2202.06200 (2022) - [i69]Yifan Du, Zikang Liu, Junyi Li, Wayne Xin Zhao:
A Survey of Vision-Language Pre-Trained Models. CoRR abs/2202.10936 (2022) - [i68]Kun Zhou, Hui Yu, Wayne Xin Zhao, Ji-Rong Wen:
Filter-enhanced MLP is All You Need for Sequential Recommendation. CoRR abs/2202.13556 (2022) - [i67]Ze-Feng Gao, Peiyu Liu, Wayne Xin Zhao, Zhong-Yi Lu, Ji-Rong Wen:
Parameter-Efficient Mixture-of-Experts Architecture for Pre-trained Language Models. CoRR abs/2203.01104 (2022) - [i66]Yupeng Hou, Binbin Hu, Wayne Xin Zhao, Zhiqiang Zhang, Jun Zhou, Ji-Rong Wen:
Neural Graph Matching for Pre-training Graph Neural Networks. CoRR abs/2203.01597 (2022) - [i65]Yupeng Hou, Xingyu Pan, Wayne Xin Zhao, Shuqing Bian, Yang Song, Tao Zhang, Ji-Rong Wen:
Leveraging Search History for Improving Person-Job Fit. CoRR abs/2203.14232 (2022) - [i64]Yupeng Hou, Binbin Hu, Zhiqiang Zhang, Wayne Xin Zhao:
CORE: Simple and Effective Session-based Recommendation within Consistent Representation Space. CoRR abs/2204.11067 (2022) - [i63]Ruiyang Ren, Yingqi Qu, Jing Liu, Wayne Xin Zhao, Qifei Wu, Yuchen Ding, Hua Wu, Haifeng Wang, Ji-Rong Wen:
A Thorough Examination on Zero-shot Dense Retrieval. CoRR abs/2204.12755 (2022) - [i62]Kun Zhou, Beichen Zhang, Wayne Xin Zhao, Ji-Rong Wen:
Debiased Contrastive Learning of Unsupervised Sentence Representations. CoRR abs/2205.00656 (2022) - [i61]Junyi Li, Tianyi Tang, Zheng Gong, Lixin Yang, Zhuohao Yu, Zhipeng Chen, Jingyuan Wang, Wayne Xin Zhao, Ji-Rong Wen:
ElitePLM: An Empirical Study on General Language Ability Evaluation of Pretrained Language Models. CoRR abs/2205.01523 (2022) - [i60]Junyi Li, Tianyi Tang, Jian-Yun Nie, Ji-Rong Wen, Wayne Xin Zhao:
Learning to Transfer Prompts for Text Generation. CoRR abs/2205.01543 (2022) - [i59]Jinhao Jiang, Kun Zhou, Wayne Xin Zhao, Ji-Rong Wen:
Great Truths are Always Simple: A Rather Simple Knowledge Encoder for Enhancing the Commonsense Reasoning Capacity of Pre-Trained Models. CoRR abs/2205.01841 (2022) - [i58]