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ORCIDJi-Rong Wen
Jirong Wen – 文继荣
Person information
- affiliation: Renmin University of China, Beijing, China
- affiliation (former): Microsoft Research
- unicode name: 文继荣
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2020 – today
- 2023
[j97]Konrad Heidler, Lichao Mou, Di Hu, Pu Jin, Guangyao Li, Chuang Gan, Ji-Rong Wen, Xiao Xiang Zhu
:
Self-supervised audiovisual representation learning for remote sensing data. Int. J. Appl. Earth Obs. Geoinformation 116: 103130 (2023)- [j96]Ji-Rong Wen, Zi Huang, Hanwang Zhang:
Editorial for Special Issue on Large-scale Pre-training: Data, Models, and Fine-tuning. Mach. Intell. Res. 20(2): 145-146 (2023) - [j95]Yujia Zhou, Jing Yao, Zhicheng Dou, Ledell Wu, Ji-Rong Wen:
DynamicRetriever: A Pre-trained Model-based IR System Without an Explicit Index. Mach. Intell. Res. 20(2): 276-288 (2023) - [j94]Wenwen Qiang, Jiangmeng Li, Bing Su, Jianlong Fu, Hui Xiong, Ji-Rong Wen:
Meta Attention-Generation Network for Cross-Granularity Few-Shot Learning. Int. J. Comput. Vis. 131(5): 1211-1233 (2023) - [j93]Shuo Shang, Jianbing Shen, Ji-Rong Wen, Panos Kalnis:
Deep understanding of big geo-social data for autonomous vehicles. Neural Comput. Appl. 35(5): 3585-3586 (2023) - [j92]Jing Yao, Zheng Liu, Junhan Yang, Zhicheng Dou, Xing Xie, Ji-Rong Wen:
CDSM: Cascaded Deep Semantic Matching on Textual Graphs Leveraging Ad-hoc Neighbor Selection. ACM Trans. Intell. Syst. Technol. 14(2): 32:1-32:24 (2023) - [j91]Yujia Zhou, Zhicheng Dou, Ji-Rong Wen:
Enhancing Potential Re-Finding in Personalized Search With Hierarchical Memory Networks. IEEE Trans. Knowl. Data Eng. 35(4): 3846-3857 (2023) - [j90]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) - [j89]Haonan Chen, Zhicheng Dou, Qiannan Zhu, Xiaochen Zuo, Ji-Rong Wen:
Integrating Representation and Interaction for Context-Aware Document Ranking. ACM Trans. Inf. Syst. 41(1): 21:1-21:23 (2023) - [j88]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) - [j87]Xubo Qin, Zhicheng Dou, Yutao Zhu, Ji-Rong Wen:
GDESA: Greedy Diversity Encoder with Self-attention for Search Results Diversification. ACM Trans. Inf. Syst. 41(2): 34:1-34:36 (2023) - [c258]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 - [c257]Hongfeng Han, Zhiwu Lu, Ji-Rong Wen:
Binary Neural Network for Video Action Recognition. MMM (1) 2023: 95-106 - [c256]Hongfeng Han, Zhiwu Lu, Ji-Rong Wen:
CTDA: Contrastive Temporal Domain Adaptation for Action Segmentation. MMM (2) 2023: 562-574 - [c255]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 - [c254]Haiyuan Zhao, Jun Xu, Xiao Zhang, Guohao Cai, Zhenhua Dong, Ji-Rong Wen:
Separating Examination and Trust Bias from Click Predictions for Unbiased Relevance Ranking. WSDM 2023: 913-921 - [c253]Shuting Wang, Zhicheng Dou, Jing Yao, Yujia Zhou, Ji-Rong Wen:
Incorporating Explicit Subtopics in Personalized Search. WWW 2023: 3364-3374 - [i142]Xu Chen, Jingsen Zhang, Lei Wang, Quanyu Dai, Zhenhua Dong, Ruiming Tang, Rui Zhang, Li Chen, Ji-Rong Wen:
REASONER: An Explainable Recommendation Dataset with Multi-aspect Real User Labeled Ground Truths Towards more Measurable Explainable Recommendation. CoRR abs/2303.00168 (2023) - [i141]Yifan Li, Kun Zhou, Wayne Xin Zhao, Ji-Rong Wen:
Diffusion Models for Non-autoregressive Text Generation: A Survey. CoRR abs/2303.06574 (2023) - [i140]Chen Xu, Jun Xu, Xu Chen, Zhenghua Dong, Ji-Rong Wen:
Dually Enhanced Propensity Score Estimation in Sequential Recommendation. CoRR abs/2303.08722 (2023) - [i139]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) - [i138]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) - [i137]Hongjing Qian, Yutao Zhu, Zhicheng Dou, Haoqi Gu, Xinyu Zhang, Zheng Liu, Ruofei Lai, Zhao Cao, Jian-Yun Nie, Ji-Rong Wen:
WebBrain: Learning to Generate Factually Correct Articles for Queries by Grounding on Large Web Corpus. CoRR abs/2304.04358 (2023) - [i136]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) - [i135]Junyi Li, Wayne Xin Zhao, Jian-Yun Nie, Ji-Rong Wen:
RenderDiffusion: Text Generation as Image Generation. CoRR abs/2304.12519 (2023) - [i134]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) - [i133]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) - [i132]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) - [i131]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) - [i130]Zihua Si, Zhongxiang Sun, Xiao Zhang, Jun Xu, Xiaoxue Zang, Yang Song, Kun Gai, Ji-Rong Wen:
When Search Meets Recommendation: Learning Disentangled Search Representation for Recommendation. CoRR abs/2305.10822 (2023) - [i129]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) - [i128]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) - [i127]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) - [i126]Jiahao Chen, Yurou Liu, Jiangmeng Li, Bing Su, Jirong Wen:
Atomic and Subgraph-aware Bilateral Aggregation for Molecular Representation Learning. CoRR abs/2305.12618 (2023) - [i125]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) - 2022
- [j86]Tingchen Fu, Sheng Gao, Xueliang Zhao, Ji-Rong Wen, Rui Yan:
Learning towards conversational AI: A survey. AI Open 3: 14-28 (2022) - [j85]Guoping Zhao, Mingyu Zhang, Jiajun Liu, Yaxian Li, Ji-Rong Wen:
AP-GAN: Adversarial patch attack on content-based image retrieval systems. GeoInformatica 26(2): 347-377 (2022) - [j84]Bing Su, Jiahuan Zhou, Ji-Rong Wen, Ying Wu:
Linear and Deep Order-Preserving Wasserstein Discriminant Analysis. IEEE Trans. Pattern Anal. Mach. Intell. 44(6): 3123-3138 (2022) - [j83]Di Hu, Yake Wei, Rui Qian, Weiyao Lin, Ruihua Song, Ji-Rong Wen:
Class-Aware Sounding Objects Localization via Audiovisual Correspondence. IEEE Trans. Pattern Anal. Mach. Intell. 44(12): 9844-9859 (2022) - [j82]Hanzhi Wang, Zhewei Wei, Junhao Gan, Ye Yuan, Xiaoyong Du, Ji-Rong Wen:
Edge-based Local Push for Personalized PageRank. Proc. VLDB Endow. 15(7): 1376-1389 (2022) - [j81]Weijie Yu, Chen Xu, Jun Xu, Liang Pang, Ji-Rong Wen:
Distribution Distance Regularized Sequence Representation for Text Matching in Asymmetrical Domains. IEEE ACM Trans. Audio Speech Lang. Process. 30: 721-733 (2022) - [j80]Jing Yao, Zhicheng Dou, Jian-Yun Nie, Ji-Rong Wen:
Looking Back on the Past: Active Learning With Historical Evaluation Results. IEEE Trans. Knowl. Data Eng. 34(10): 4921-4932 (2022) - [j79]Tianjing Zeng, Zhewei Wei, Ge Luo, Ke Yi, Xiaoyong Du, Ji-Rong Wen:
Persistent Summaries. ACM Trans. Database Syst. 47(3): 11:1-11:42 (2022) - [j78]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) - [j77]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) - [j76]Jing Yao, Zhicheng Dou, Ji-Rong Wen:
Clarifying Ambiguous Keywords with Personal Word Embeddings for Personalized Search. ACM Trans. Inf. Syst. 40(3): 43:1-43:29 (2022) - [c252]Quan Tu, Yanran Li, Jianwei Cui, Bin Wang, Ji-Rong Wen, Rui Yan:
MISC: A Mixed Strategy-Aware Model integrating COMET for Emotional Support Conversation. ACL (1) 2022: 308-319 - [c251]Zhuocheng Gong, Di He, Yelong Shen, Tie-Yan Liu, Weizhu Chen, Dongyan Zhao, Ji-Rong Wen, Rui Yan:
Finding the Dominant Winning Ticket in Pre-Trained Language Models. ACL (Findings) 2022: 1459-1472 - [c250]Tingchen Fu, Xueliang Zhao, Chongyang Tao, Ji-Rong Wen, Rui Yan:
There Are a Thousand Hamlets in a Thousand People's Eyes: Enhancing Knowledge-grounded Dialogue with Personal Memory. ACL (1) 2022: 3901-3913 - [c249]Zheng Gong, Kun Zhou, 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 - [c248]Kun Zhou, Beichen Zhang, Xin Zhao, Ji-Rong Wen:
Debiased Contrastive Learning of Unsupervised Sentence Representations. ACL (1) 2022: 6120-6130 - [c247]Haonan Chen, Zhicheng Dou, Yutao Zhu, Zhao Cao, Xiaohua Cheng, Ji-Rong Wen:
Enhancing User Behavior Sequence Modeling by Generative Tasks for Session Search. CIKM 2022: 180-190 - [c246]Chen Xu, Jun Xu, Xu Chen, Zhenhua Dong, Ji-Rong Wen:
Dually Enhanced Propensity Score Estimation in Sequential Recommendation. CIKM 2022: 2260-2269 - [c245]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 - [c244]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 - [c243]Chen Xu, Jun Xu, Zhenhua Dong, Ji-Rong Wen:
Semantic Sentence Matching via Interacting Syntax Graphs. COLING 2022: 938-949 - [c242]Weijie Yu, Liang Pang, Jun Xu, Bing Su, Zhenhua Dong, Ji-Rong Wen:
Optimal Partial Transport Based Sentence Selection for Long-form Document Matching. COLING 2022: 2363-2373 - [c241]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 - [c240]Tianyi Tang, Junyi Li, Wayne Xin Zhao, Ji-Rong Wen:
Context-Tuning: Learning Contextualized Prompts for Natural Language Generation. COLING 2022: 6340-6354 - [c239]Haoyu Lu, Nanyi Fei, Yuqi Huo, Yizhao Gao, Zhiwu Lu, Ji-Rong Wen:
COTS: Collaborative Two-Stream Vision-Language Pre-Training Model for Cross-Modal Retrieval. CVPR 2022: 15671-15680 - [c238]Guangyao Li, Yake Wei, Yapeng Tian, Chenliang Xu, Ji-Rong Wen, Di Hu:
Learning to Answer Questions in Dynamic Audio-Visual Scenarios. CVPR 2022: 19086-19096 - [c237]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 - [c236]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 - [c235]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 - [c234]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 - [c233]Yuqing Li, Yuxin Zhang, Bin Wu, Ji-Rong Wen, Ruihua Song, Ting Bai:
A Multi-Modal Knowledge Graph for Classical Chinese Poetry. EMNLP (Findings) 2022: 2318-2326 - [c232]Gautam Srivastava, Guoliang Li, Jirong Wen:
Message from Data Science and Systems 2022 General Chairs. HPCC/DSS/SmartCity/DependSys 2022: lxxviii - [c231]Yaxian Li, Bingqing Zhang, Guoping Zhao, Mingyu Zhang, Jiajun Liu, Ziwei Wang, Jirong Wen:
InvisibiliTee: Angle-Agnostic Cloaking from Person-Tracking Systems with a Tee. ICANN (3) 2022: 162-175 - [c230]Yupeng Hou, Wayne Xin Zhao, Yaliang Li, Ji-Rong Wen:
Privacy-Preserved Neural Graph Similarity Learning. ICDM 2022: 191-200 - [c229]Bing Su, Ji-Rong Wen:
Temporal Alignment Prediction for Supervised Representation Learning and Few-Shot Sequence Classification. ICLR 2022 - [c228]Guoping Zhao, Bingqing Zhang, Mingyu Zhang, Yaxian Li, Jiajun Liu, Ji-Rong Wen:
STAR-GNN: Spatial-Temporal Video Representation for Content-Based Retrieval. ICME 2022: 1-6 - [c227]Kerui Xu, Jun Xu, Sheng Gao, Si Li, Jun Guo, Ji-Rong Wen:
A Tag-Based Post-Hoc Framework for Explainable Conversational Recommendation. ICTIR 2022: 232-242 - [c226]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 - [c225]Zhan Su, Zhicheng Dou, Yutao Zhu, Ji-Rong Wen:
Knowledge Enhanced Search Result Diversification. KDD 2022: 1687-1695 - [c224]Xiaolei Wang, Kun Zhou, Ji-Rong Wen, Wayne Xin Zhao:
Towards Unified Conversational Recommender Systems via Knowledge-Enhanced Prompt Learning. KDD 2022: 1929-1937 - [c223]Xiao Zhang, Sunhao Dai, Jun Xu, Zhenhua Dong, Quanyu Dai, Ji-Rong Wen:
Counteracting User Attention Bias in Music Streaming Recommendation via Reward Modification. KDD 2022: 2504-2514 - [c222]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 - [c221]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 - [c220]Jinhao Jiang, Kun Zhou, Ji-Rong Wen, 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 - [c219]Junyi Li, Tianyi Tang, Jian-Yun Nie, Ji-Rong Wen, Xin Zhao:
Learning to Transfer Prompts for Text Generation. NAACL-HLT 2022: 3506-3518 - [c218]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 - [c217]Hanxun Zhong, Zhicheng Dou, Yutao Zhu, Hongjin Qian, Ji-Rong Wen:
Less is More: Learning to Refine Dialogue History for Personalized Dialogue Generation. NAACL-HLT 2022: 5808-5820 - [c216]Bing Su, Ji-Rong Wen:
Log-Polar Space Convolution Layers. NeurIPS 2022 - [c215]Mingguo He, Zhewei Wei, Ji-Rong Wen:
Convolutional Neural Networks on Graphs with Chebyshev Approximation, Revisited. NeurIPS 2022 - [c214]Hongda Sun, Shufang Xie, Shuqi Li, Yuhan Chen, Ji-Rong Wen, Rui Yan:
Debiased, Longitudinal and Coordinated Drug Recommendation through Multi-Visit Clinic Records. NeurIPS 2022 - [c213]Hongfeng Han, Nanyi Fei, Zhiwu Lu, Ji-Rong Wen:
Supervised Contrastive Learning for Few-Shot Action Classification. ECML/PKDD (3) 2022: 512-528 - [c212]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 - [c211]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 - [c210]Ziliang Zhao, Zhicheng Dou, Jiaxin Mao, Ji-Rong Wen:
Generating Clarifying Questions with Web Search Results. SIGIR 2022: 234-244 - [c209]Weijie Yu, Zhongxiang Sun, Jun Xu, Zhenhua Dong, Xu Chen, Hongteng Xu, Ji-Rong Wen:
Explainable Legal Case Matching via Inverse Optimal Transport-based Rationale Extraction. SIGIR 2022: 657-668 - [c208]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 - [c207]Xiaochen Zuo, Zhicheng Dou, Ji-Rong Wen:
Improving Session Search by Modeling Multi-Granularity Historical Query Change. WSDM 2022: 1534-1542 - [c206]Zihua Si, Xueran Han, Xiao Zhang, Jun Xu, Yue Yin, Yang Song, Ji-Rong Wen:
A Model-Agnostic Causal Learning Framework for Recommendation using Search Data. WWW 2022: 224-233 - [c205]Jiongnan Liu, Zhicheng Dou, Qiannan Zhu, Ji-Rong Wen:
A Category-aware Multi-interest Model for Personalized Product Search. WWW 2022: 360-368 - [c204]Lang Mei, Jiaxin Mao, Gang Guo, Ji-Rong Wen:
Learning Probabilistic Box Embeddings for Effective and Efficient Ranking. WWW 2022: 473-482 - [c203]Zhenlei Wang, Shiqi Shen, Zhipeng Wang, Bo Chen, Xu Chen, Ji-Rong Wen:
Unbiased Sequential Recommendation with Latent Confounders. WWW 2022: 2195-2204 - [c202]Kun Zhou, Hui Yu, Wayne Xin Zhao, Ji-Rong Wen:
Filter-enhanced MLP is All You Need for Sequential Recommendation. WWW 2022: 2388-2399 - [i124]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) - [i123]Mingguo He, Zhewei Wei, Ji-Rong Wen:
Convolutional Neural Networks on Graphs with Chebyshev Approximation, Revisited. CoRR abs/2202.03580 (2022) - [i122]Zihua Si, Xueran Han, Xiao Zhang, Jun Xu, Yue Yin, Yang Song, Ji-Rong Wen:
A Model-Agnostic Causal Learning Framework for Recommendation using Search Data. CoRR abs/2202.04514 (2022) - [i121]Xu Chen, Yongfeng Zhang, Ji-Rong Wen:
Measuring "Why" in Recommender Systems: a Comprehensive Survey on the Evaluation of Explainable Recommendation. CoRR abs/2202.06466 (2022) - [i120]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) - [i119]Yujia Zhou, Jing Yao, Zhicheng Dou, Ledell Wu, Ji-Rong Wen:
DynamicRetriever: A Pre-training Model-based IR System with Neither Sparse nor Dense Index. CoRR abs/2203.00537 (2022) - [i118]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) - [i117]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) - [i116]Hanzhi Wang, Zhewei Wei, Junhao Gan, Ye Yuan, Xiaoyong Du, Ji-Rong Wen:
Edge-based Local Push for Personalized PageRank. CoRR abs/2203.07937 (2022) - [i115]Quan Tu, Yanran Li, Jianwei Cui, Bin Wang, Ji-Rong Wen, Rui Yan:
MISC: A MIxed Strategy-Aware Model Integrating COMET for Emotional Support Conversation. CoRR abs/2203.13560 (2022) - [i114]Guangyao Li, Yake Wei, Yapeng Tian, Chenliang Xu, Ji-Rong Wen, Di Hu:
Learning to Answer Questions in Dynamic Audio-Visual Scenarios. CoRR abs/2203.14072 (2022) - [i113]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) - [i112]Zhenlei Wang, Xu Chen, Zhenhua Dong, Quanyu Dai, Ji-Rong Wen:
Sequential Recommendation with Causal Behavior Discovery. CoRR abs/2204.00216 (2022) - [i111]Haiyuan Zhao, Jun Xu, Xiao Zhang, Guohao Cai, Zhenhua Dong, Ji-Rong Wen:
Unbiased Top-k Learning to Rank with Causal Likelihood Decomposition. CoRR abs/2204.00815 (2022) - [i110]Tingchen Fu, Xueliang Zhao, Chongyang Tao, Ji-Rong Wen, Rui Yan:
There Are a Thousand Hamlets in a Thousand People's Eyes: Enhancing Knowledge-grounded Dialogue with Personal Memory. CoRR abs/2204.02624 (2022) - [i109]