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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
[j99]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)- [j98]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) - [j97]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) - [j96]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) - [j95]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) - [j94]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) - [j93]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) - [j92]Jiangmeng Li, Wenwen Qiang, Changwen Zheng, Bing Su, Farid Razzak, Ji-Rong Wen, Hui Xiong:
Modeling Multiple Views via Implicitly Preserving Global Consistency and Local Complementarity. IEEE Trans. Knowl. Data Eng. 35(7): 7220-7238 (2023) - [j91]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) - [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) - [c282]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 - [c281]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 - [c280]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 - [c279]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 - [c278]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 - [c277]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 - [c276]Quan Tu, Shen Gao, Xiaolong Wu, Zhao Cao, Ji-Rong Wen, Rui Yan:
SSP: Self-Supervised Post-training for Conversational Search. ACL (Findings) 2023: 13237-13249 - [c275]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 - [c274]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 - [c273]Zhenlei Wang, Xu Chen, Rui Zhou, Quanyu Dai, Zhenhua Dong, Ji-Rong Wen:
Sequential Recommendation with User Causal Behavior Discovery. ICDE 2023: 28-40 - [c272]Jing Yao, Zhicheng Dou, Jian-Yun Nie, Ji-Rong Wen:
Looking Back on the Past: Active Learning with Historical Evaluation Results : Extended Abstract. ICDE 2023: 3839-3840 - [c271]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 - [c270]Yifan Li, Kun Zhou, Wayne Xin Zhao, Ji-Rong Wen:
Diffusion Models for Non-autoregressive Text Generation: A Survey. IJCAI 2023: 6692-6701 - [c269]Shitong Dai, Jiongnan Liu, Zhicheng Dou, Haonan Wang, Lin Liu, Bo Long, Ji-Rong Wen:
Contrastive Learning for User Sequence Representation in Personalized Product Search. KDD 2023: 380-389 - [c268]Zhan Su, Zhicheng Dou, Yujia Zhou, Ziyuan Zhao, Ji-Rong Wen:
PSLOG: Pretraining with Search Logs for Document Ranking. KDD 2023: 2072-2082 - [c267]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 - [c266]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 - [c265]Hongfeng Han, Zhiwu Lu, Ji-Rong Wen:
Binary Neural Network for Video Action Recognition. MMM (1) 2023: 95-106 - [c264]Hongfeng Han, Zhiwu Lu, Ji-Rong Wen:
CTDA: Contrastive Temporal Domain Adaptation for Action Segmentation. MMM (2) 2023: 562-574 - [c263]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 - [c262]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 - [c261]Haiyuan Zhao, Lei Zhang, Jun Xu, Guohao Cai, Zhenhua Dong, Ji-Rong Wen:
Uncovering User Interest from Biased and Noised Watch Time in Video Recommendation. RecSys 2023: 528-539 - [c260]Wenqi Sun, Ruobing Xie, Junjie Zhang, Wayne Xin Zhao, Leyu Lin, Ji-Rong Wen:
Generative Next-Basket Recommendation. RecSys 2023: 737-743 - [c259]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. SIGIR 2023: 1313-1323 - [c258]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 - [c257]Zhongxiang Sun, Jun Xu, Xiao Zhang, Zhenhua Dong, Ji-Rong Wen:
Law Article-Enhanced Legal Case Matching: A Causal Learning Approach. SIGIR 2023: 1549-1558 - [c256]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 - [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 - [i162]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) - [i161]Yifan Li, Kun Zhou, Wayne Xin Zhao, Ji-Rong Wen:
Diffusion Models for Non-autoregressive Text Generation: A Survey. CoRR abs/2303.06574 (2023) - [i160]Chen Xu, Jun Xu, Xu Chen, Zhenghua Dong, Ji-Rong Wen:
Dually Enhanced Propensity Score Estimation in Sequential Recommendation. CoRR abs/2303.08722 (2023) - [i159]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) - [i158]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) - [i157]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) - [i156]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) - [i155]Junyi Li, Wayne Xin Zhao, Jian-Yun Nie, Ji-Rong Wen:
RenderDiffusion: Text Generation as Image Generation. CoRR abs/2304.12519 (2023) - [i154]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) - [i153]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) - [i152]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) - [i151]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) - [i150]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) - [i149]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) - [i148]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) - [i147]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) - [i146]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) - [i145]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) - [i144]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) - [i143]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) - [i142]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) - [i141]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) - [i140]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) - [i139]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) - [i138]Jiongnan Liu, Jiajie Jin, Zihan Wang, Jiehan Cheng, Zhicheng Dou, Ji-Rong Wen:
RETA-LLM: A Retrieval-Augmented Large Language Model Toolkit. CoRR abs/2306.05212 (2023) - [i137]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) - [i136]Quan Tu, Shen Gao, Xiaolong Wu, Zhao Cao, Ji-Rong Wen, Rui Yan:
SSP: Self-Supervised Post-training for Conversational Search. CoRR abs/2307.00569 (2023) - [i135]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) - [i134]Qingyao Ai, Ting Bai, Zhao Cao, Yi Chang, Jiawei Chen, Zhumin Chen, Zhiyong Cheng, Shoubin Dong, Zhicheng Dou, Fuli Feng, Shen Gao, Jiafeng Guo, Xiangnan He, Yanyan Lan, Chenliang Li, Yiqun Liu, Ziyu Lyu, Weizhi Ma, Jun Ma, Zhaochun Ren, Pengjie Ren, Zhiqiang Wang, Mingwen Wang, Ji-Rong Wen, Le Wu, Xin Xin, Jun Xu, Dawei Yin, Peng Zhang, Fan Zhang, Weinan Zhang, Min Zhang, Xiaofei Zhu:
Information Retrieval Meets Large Language Models: A Strategic Report from Chinese IR Community. CoRR abs/2307.09751 (2023) - [i133]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) - [i132]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) - [i131]Jiexin Wang, Yujie Zhou, Wenwen Qiang, Ying Ba, Bing Su, Ji-Rong Wen:
Spatio-Temporal Branching for Motion Prediction using Motion Increments. CoRR abs/2308.01097 (2023) - [i130]Zhao Yang, Bing Su, Ji-Rong Wen:
Synthesizing Long-Term Human Motions with Diffusion Models via Coherent Sampling. CoRR abs/2308.01850 (2023) - [i129]Zezhong Lv, Bing Su, Ji-Rong Wen:
Counterfactual Cross-modality Reasoning for Weakly Supervised Video Moment Localization. CoRR abs/2308.05648 (2023) - [i128]Chen Xu, Xiaopeng Ye, Jun Xu, Xiao Zhang, Weiran Shen, Ji-Rong Wen:
LTP-MMF: Towards Long-term Provider Max-min Fairness Under Recommendation Feedback Loops. CoRR abs/2308.05902 (2023) - [i127]Yutao Zhu, Huaying Yuan, Shuting Wang, Jiongnan Liu, Wenhan Liu, Chenlong Deng, Zhicheng Dou, Ji-Rong Wen:
Large Language Models for Information Retrieval: A Survey. CoRR abs/2308.07107 (2023) - [i126]Haiyuan Zhao, Lei Zhang, Jun Xu, Guohao Cai, Zhenhua Dong, Ji-Rong Wen:
Uncovering User Interest from Biased and Noised Watch Time in Video Recommendation. CoRR abs/2308.08120 (2023) - [i125]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) - [i124]Hongjin Qian, Zhicheng Dou, Jiejun Tan, Haonan Chen, Haoqi Gu, Ruofei Lai, Xinyu Zhang, Zhao Cao, Ji-Rong Wen:
Optimizing Factual Accuracy in Text Generation through Dynamic Knowledge Selection. CoRR abs/2308.15711 (2023) - [i123]Zican Dong, Tianyi Tang, Junyi Li, Wayne Xin Zhao, Ji-Rong Wen:
BAMBOO: A Comprehensive Benchmark for Evaluating Long Text Modeling Capacities of Large Language Models. CoRR abs/2309.13345 (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, 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 - [c248]Kun Zhou, Beichen Zhang, Wayne 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]