Zhao Cao

According to our database, Zhao Cao authored at least 75 papers between 2008 and 2024.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of four.

2024

An Analysis on Matching Mechanisms and Token Pruning for Late-interaction Models.

Qi Liu, Gang Guo, Jiaxin Mao, Zhicheng Dou, Ji-Rong Wen, Hao Jiang, Xinyu Zhang, Zhao Cao

ACM Trans. Inf. Syst., September, 2024

A multiscale network for deblurring coal slurry foam images.

Yuxiao Wang, Xianwu Huang, Haili Shang, Jinshan Zhang, Zhao Cao

Signal Image Video Process., July, 2024

Flotation froth image deblurring algorithm based on disentangled representations.

Xianwu Huang, Yuxiao Wang, Zhao Cao, Haili Shang, Jinshan Zhang, Dahua Yu

J. Electronic Imaging, 2024

ICLEval: Evaluating In-Context Learning Ability of Large Language Models.

Wentong Chen, Yankai Lin, ZhenHao Zhou, HongYun Huang, Yantao Jia, Zhao Cao, Ji-Rong Wen

CoRR, 2024

Understanding Human Preferences: Towards More Personalized Video to Text Generation.

Yihan Wu, Ruihua Song, Xu Chen, Hao Jiang, Zhao Cao, Jin Yu

Proceedings of the ACM on Web Conference 2024, 2024

Generative Retrieval via Term Set Generation.

Peitian Zhang, Zheng Liu, Yujia Zhou, Zhicheng Dou, Fangchao Liu, Zhao Cao

Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

Image Retrieval with Composed Query by Multi-Scale Multi-Modal Fusion.

Zelong Sun, Guoxing Yang, Zhiwu Lu, Hao Jiang, Guojie Zhu, Zhao Cao

Proceedings of the IEEE International Conference on Acoustics, 2024

VEMO: A Versatile Elastic Multi-modal Model for Search-Oriented Multi-task Learning.

Nanyi Fei, Hao Jiang, Haoyu Lu, Jinqiang Long, Yanqi Dai, Tuo Fan, Zhao Cao, Zhiwu Lu

Proceedings of the Advances in Information Retrieval, 2024

Advancing Latent Representation Ranking for Masked Graph Autoencoder.

Yulan Hu, Ge Chen, Sheng Ouyang, Zhirui Yang, Junchen Wan, Fuzheng Zhang, Zhongyuan Wang, Zhao Cao, Shangquan Wu, Yong Liu

Proceedings of the Database Systems for Advanced Applications, 2024

Combining Multiple Supervision for Robust Zero-Shot Dense Retrieval.

Yan Fang, Qingyao Ai, Jingtao Zhan, Yiqun Liu, Xiaolong Wu, Zhao Cao

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Information Retrieval meets Large Language Models: A strategic report from Chinese IR community.

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

AI Open, January, 2023

UFIN: Universal Feature Interaction Network for Multi-Domain Click-Through Rate Prediction.

Zhen Tian, Changwang Zhang, Wayne Xin Zhao, Xin Zhao, Ji-Rong Wen, Zhao Cao

CoRR, 2023

Optimizing Factual Accuracy in Text Generation through Dynamic Knowledge Selection.

Hongjin Qian, Zhicheng Dou, Jiejun Tan, Haonan Chen, Haoqi Gu, Ruofei Lai, Xinyu Zhang, Zhao Cao, Ji-Rong Wen

CoRR, 2023

Term-Sets Can Be Strong Document Identifiers For Auto-Regressive Search Engines.

Peitian Zhang, Zheng Liu, Yujia Zhou, Zhicheng Dou, Zhao Cao

CoRR, 2023

Rethinking Dense Retrieval's Few-Shot Ability.

Si Sun, Yida Lu, Shi Yu, Xiangyang Li, Zhonghua Li, Zhao Cao, Zhiyuan Liu, Deiming Ye, Jie Bao

CoRR, 2023

WebBrain: Learning to Generate Factually Correct Articles for Queries by Grounding on Large Web Corpus.

Hongjing Qian, Yutao Zhu, Zhicheng Dou, Haoqi Gu, Xinyu Zhang, Zheng Liu, Ruofei Lai, Zhao Cao, Jian-Yun Nie, Ji-Rong Wen

CoRR, 2023

Replacement as a Self-supervision for Fine-grained Vision-language Pre-training.

Lisai Zhang, Qingcai Chen, Zhijian Chen, Yunpeng Han, Zhonghua Li, Zhao Cao

CoRR, 2023

Learning Denoised and Interpretable Session Representation for Conversational Search.

Kelong Mao, Hongjin Qian, Fengran Mo, Zhicheng Dou, Bang Liu, Xiaohua Cheng, Zhao Cao

Proceedings of the ACM Web Conference 2023, 2023

EulerNet: Adaptive Feature Interaction Learning via Euler's Formula for CTR Prediction.

Zhen Tian, Ting Bai, Wayne Xin Zhao, Ji-Rong Wen, Zhao Cao

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

LibVQ: A Toolkit for Optimizing Vector Quantization and Efficient Neural Retrieval.

Chaofan Li, Zheng Liu, Shitao Xiao, Yingxia Shao, Defu Lian, Zhao Cao

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Constructing Tree-based Index for Efficient and Effective Dense Retrieval.

Haitao Li, Qingyao Ai, Jingtao Zhan, Jiaxin Mao, Yiqun Liu, Zheng Liu, Zhao Cao

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023

Alleviating the Long-Tail Problem in Conversational Recommender Systems.

Zhipeng Zhao, Kun Zhou, Xiaolei Wang, Wayne Xin Zhao, Fan Pan, Zhao Cao, Ji-Rong Wen

Proceedings of the 17th ACM Conference on Recommender Systems, 2023

Going Beyond Closed Sets: A Multimodal Perspective for Video Emotion Analysis.

Hao Pu, Yuchong Sun, Ruihua Song, Xu Chen, Hao Jiang, Yi Liu, Zhao Cao

Proceedings of the Pattern Recognition and Computer Vision - 6th Chinese Conference, 2023

LGM3A '23: 1st Workshop on Large Generative Models Meet Multimodal Applications.

Zheng Wang, Cheng Long, Shihao Xu, Bingzheng Gan, Wei Shi, Zhao Cao, Tat-Seng Chua

Proceedings of the 31st ACM International Conference on Multimedia, 2023

Fashion-GPT: Integrating LLMs with Fashion Retrieval System.

Qianqian Chen, Tianyi Zhang, Maowen Nie, Zheng Wang, Shihao Xu, Wei Shi, Zhao Cao

Proceedings of the 1st Workshop on Large Generative Models Meet Multimodal Applications, 2023

Improving Search Clarification with Structured Information Extracted from Search Results.

Ziliang Zhao, Zhicheng Dou, Yu Guo, Zhao Cao, Xiaohua Cheng

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Improving Conversational Recommendation Systems via Counterfactual Data Simulation.

Xiaolei Wang, Kun Zhou, Xinyu Tang, Wayne Xin Zhao, Fan Pan, Zhao Cao, Ji-Rong Wen

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

IAG: Induction-Augmented Generation Framework for Answering Reasoning Questions.

Zhebin Zhang, Xinyu Zhang, Yuanhang Ren, Saijiang Shi, Meng Han, Yongkang Wu, Ruofei Lai, Zhao Cao

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Argue with Me Tersely: Towards Sentence-Level Counter-Argument Generation.

Jiayu Lin, Rong Ye, Meng Han, Qi Zhang, Ruofei Lai, Xinyu Zhang, Zhao Cao, Xuanjing Huang, Zhongyu Wei

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Hi-ArG: Exploring the Integration of Hierarchical Argumentation Graphs in Language Pretraining.

Jingcong Liang, Rong Ye, Meng Han, Qi Zhang, Ruofei Lai, Xinyu Zhang, Zhao Cao, Xuanjing Huang, Zhongyu Wei

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

FashionSAP: Symbols and Attributes Prompt for Fine-Grained Fashion Vision-Language Pre-Training.

Yunpeng Han, Lisai Zhang, Qingcai Chen, Zhijian Chen, Zhonghua Li, Jianxin Yang, Zhao Cao

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Rethinking Label Smoothing on Multi-Hop Question Answering.

Zhangyue Yin, Yuxin Wang, Xiannian Hu, Yiguang Wu, Hang Yan, Xinyu Zhang, Zhao Cao, Xuanjing Huang, Xipeng Qiu

Proceedings of the Chinese Computational Linguistics - 22nd China National Conference, 2023

Plug-and-Play Document Modules for Pre-trained Models.

Chaojun Xiao, Zhengyan Zhang, Xu Han, Chi-Min Chan, Yankai Lin, Zhiyuan Liu, Xiangyang Li, Zhonghua Li, Zhao Cao, Maosong Sun

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Hence, Socrates is mortal: A Benchmark for Natural Language Syllogistic Reasoning.

Yongkang Wu, Meng Han, Yutao Zhu, Lei Li, Xinyu Zhang, Ruofei Lai, Xiaoguang Li, Yuanhang Ren, Zhicheng Dou, Zhao Cao

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

SSP: Self-Supervised Post-training for Conversational Search.

Quan Tu, Shen Gao, Xiaolong Wu, Zhao Cao, Ji-Rong Wen, Rui Yan

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Search-Oriented Conversational Query Editing.

Kelong Mao, Zhicheng Dou, Bang Liu, Hongjin Qian, Fengran Mo, Xiangli Wu, Xiaohua Cheng, Zhao Cao

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

RetroMAE-2: Duplex Masked Auto-Encoder For Pre-Training Retrieval-Oriented Language Models.

Zheng Liu, Shitao Xiao, Yingxia Shao, Zhao Cao

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Learning from the Wisdom of Crowds: Exploiting Similar Sessions for Session Search.

Yuhang Ye, Zhonghua Li, Zhicheng Dou, Yutao Zhu, Changwang Zhang, Shangquan Wu, Zhao Cao

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

VLDeformer: Vision-Language Decomposed Transformer for fast cross-modal retrieval.

Lisai Zhang, Hongfa Wu, Qingcai Chen, Yimeng Deng, Joanna Siebert, Zhonghua Li, Yunpeng Han, Dejiang Kong, Zhao Cao

Knowl. Based Syst., 2022

Pre-training for Information Retrieval: Are Hyperlinks Fully Explored?

Jiawen Wu, Xinyu Zhang, Yutao Zhu, Zheng Liu, Zikai Guo, Zhaoye Fei, Ruofei Lai, Yongkang Wu, Zhao Cao, Zhicheng Dou

CoRR, 2022

KMIR: A Benchmark for Evaluating Knowledge Memorization, Identification and Reasoning Abilities of Language Models.

Daniel Gao, Yantao Jia, Lei Li, Chengzhen Fu, Zhicheng Dou, Hao Jiang, Xinyu Zhang, Lei Chen, Zhao Cao

CoRR, 2022

Leveraging Multi-view Inter-passage Interactions for Neural Document Ranking.

Chengzhen Fu, Enrui Hu, Letian Feng, Zhicheng Dou, Yantao Jia, Lei Chen, Fan Yu, Zhao Cao

Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022

Webformer: Pre-training with Web Pages for Information Retrieval.

Yu Guo, Zhengyi Ma, Jiaxin Mao, Hongjin Qian, Xinyu Zhang, Hao Jiang, Zhao Cao, Zhicheng Dou

Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022

BMU-MoCo: Bidirectional Momentum Update for Continual Video-Language Modeling.

Yizhao Gao, Nanyi Fei, Haoyu Lu, Zhiwu Lu, Hao Jiang, Yijie Li, Zhao Cao

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Towards Efficient NLP: A Standard Evaluation and A Strong Baseline.

Xiangyang Liu, Tianxiang Sun, Junliang He, Jiawen Wu, Lingling Wu, Xinyu Zhang, Hao Jiang, Zhao Cao, Xuanjing Huang, Xipeng Qiu

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Multi-Modal Experience Inspired AI Creation.

Qian Cao, Xu Chen, Ruihua Song, Hao Jiang, Guang Yang, Zhao Cao

Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

Triple-Fact Retriever: An explainable reasoning retrieval model for multi-hop QA problem.

Chengmin Wu, Enrui Hu, Ke Zhan, Lan Luo, Xinyu Zhang, Hao Jiang, Qirui Wang, Zhao Cao, Fan Yu, Lei Chen

Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

RetroMAE: Pre-Training Retrieval-oriented Language Models Via Masked Auto-Encoder.

Shitao Xiao, Zheng Liu, Yingxia Shao, Zhao Cao

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

ConvTrans: Transforming Web Search Sessions for Conversational Dense Retrieval.

Kelong Mao, Zhicheng Dou, Hongjin Qian, Fengran Mo, Xiaohua Cheng, Zhao Cao

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Visual Prompt Tuning for Few-Shot Text Classification.

Jingyuan Wen, Yutian Luo, Nanyi Fei, Guoxing Yang, Zhiwu Lu, Hao Jiang, Jie Jiang, Zhao Cao

Proceedings of the 29th International Conference on Computational Linguistics, 2022

Coarse-to-Fine: Hierarchical Multi-task Learning for Natural Language Understanding.

Zhaoye Fei, Yu Tian, Yongkang Wu, Xinyu Zhang, Yutao Zhu, Zheng Liu, Jiawen Wu, Dejiang Kong, Ruofei Lai, Zhao Cao, Zhicheng Dou, Xipeng Qiu

Proceedings of the 29th International Conference on Computational Linguistics, 2022

Contrastive Label Correlation Enhanced Unified Hashing Encoder for Cross-modal Retrieval.

Hongfa Wu, Lisai Zhang, Qingcai Chen, Yimeng Deng, Joanna Siebert, Yunpeng Han, Zhonghua Li, Dejiang Kong, Zhao Cao

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Enhancing User Behavior Sequence Modeling by Generative Tasks for Session Search.

Haonan Chen, Zhicheng Dou, Yutao Zhu, Zhao Cao, Xiaohua Cheng, Ji-Rong Wen

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022

Hyperlink-induced Pre-training for Passage Retrieval in Open-domain Question Answering.

Jiawei Zhou, Xiaoguang Li, Lifeng Shang, Lan Luo, Ke Zhan, Enrui Hu, Xinyu Zhang, Hao Jiang, Zhao Cao, Fan Yu, Xin Jiang, Qun Liu, Lei Chen

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021

VLDeformer: Learning Visual-Semantic Embeddings by Vision-Language Transformer Decomposing.

Lisai Zhang, Hongfa Wu, Qingcai Chen, Yimeng Deng, Zhonghua Li, Dejiang Kong, Zhao Cao, Joanna Siebert, Yunpeng Han

CoRR, 2021

Towards More Effective and Economic Sparsely-Activated Model.

Hao Jiang, Ke Zhan, Jianwei Qu, Yongkang Wu, Zhaoye Fei, Xinyu Zhang, Lei Chen, Zhicheng Dou, Xipeng Qiu, Zikai Guo, Ruofei Lai, Jiawen Wu, Enrui Hu, Yinxia Zhang, Yantao Jia, Fan Yu, Zhao Cao

CoRR, 2021

Towards Efficient NLP: A Standard Evaluation and A Strong Baseline.

Xiangyang Liu, Tianxiang Sun, Junliang He, Lingling Wu, Xinyu Zhang, Hao Jiang, Zhao Cao, Xuanjing Huang, Xipeng Qiu

CoRR, 2021

YES SIR!Optimizing Semantic Space of Negatives with Self-Involvement Ranker.

Ruizhi Pu, Xinyu Zhang, Ruofei Lai, Zikai Guo, Yinxia Zhang, Hao Jiang, Yongkang Wu, Yantao Jia, Zhicheng Dou, Zhao Cao

CoRR, 2021

Early Exiting with Ensemble Internal Classifiers.

Tianxiang Sun, Yunhua Zhou, Xiangyang Liu, Xinyu Zhang, Hao Jiang, Zhao Cao, Xuanjing Huang, Xipeng Qiu

CoRR, 2021

Answer Complex Questions: Path Ranker Is All You Need.

Xinyu Zhang, Ke Zhan, Enrui Hu, Chengzhen Fu, Lan Luo, Hao Jiang, Yantao Jia, Fan Yu, Zhicheng Dou, Zhao Cao, Lei Chen

Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

Pre-training for Ad-hoc Retrieval: Hyperlink is Also You Need.

Zhengyi Ma, Zhicheng Dou, Wei Xu, Xinyu Zhang, Hao Jiang, Zhao Cao, Ji-Rong Wen

Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

2020

Recent Advances in Security and Privacy for Future Intelligent Networks.

Xiaojiang Du, Meng Shen, Zheng Chang, Zhao Cao

IEEE Netw., 2020

2018

ReGuard: finding reentrancy bugs in smart contracts.

Chao Liu, Han Liu, Zhao Cao, Zhong Chen, Bangdao Chen, Bill Roscoe

Proceedings of the 40th International Conference on Software Engineering: Companion Proceeedings, 2018

Efficient spark analysis on incremental datasets.

Wei Sheng, Zhao Cao, Dacheng Qu

Proceedings of the 4th International Conference on Communication and Information Processing, 2018

2017

Fair Reviewer Assignment Considering Academic Social Network.

Kaixia Li, Zhao Cao, Dacheng Qu

Proceedings of the Web and Big Data - First International Joint Conference, 2017

2016

The research of the brain default network using cascading algorithm.

Ming Ke, Zhao Cao, Zhijing Li, Xuhui Chen

Proceedings of the 17th IEEE/ACIS International Conference on Software Engineering, 2016

2015

Foreseer: Workload-Aware Data Storage for MapReduce.

Jia Zou, Juwei Shi, Tongping Liu, Zhao Cao, Chen Wang

Proceedings of the 35th IEEE International Conference on Distributed Computing Systems, 2015

2014

MRTuner: A Toolkit to Enable Holistic Optimization for MapReduce Jobs.

Juwei Shi, Jia Zou, Jiaheng Lu, Zhao Cao, Shiqiang Li, Chen Wang

Proc. VLDB Endow., 2014

Efficient and Flexible Index Access in MapReduce.

Zhao Cao, Shimin Chen, Dongzhe Ma, Jianhua Feng, Min Wang

Proceedings of the 17th International Conference on Extending Database Technology, 2014

2013

LogKV: Exploiting Key-Value Stores for Log Processing.

Zhao Cao, Shimin Chen, Feifei Li, Min Wang, Xiaoyang Sean Wang

Proceedings of the Sixth Biennial Conference on Innovative Data Systems Research, 2013

2012

SPIRE: Efficient Data Inference and Compression over RFID Streams.

Yanming Nie, Richard Cocci, Zhao Cao, Yanlei Diao, Prashant J. Shenoy

IEEE Trans. Knowl. Data Eng., 2012

2011

Distributed inference and query processing for RFID tracking and monitoring.

Zhao Cao, Charles Sutton, Yanlei Diao, Prashant J. Shenoy

Proc. VLDB Endow., 2011

2010

Classifying Documents with Maximum Likelihood Approximation of the Dirichlet Multinomial Gibbs Model.

Shibin Zhou, Zhao Cao, Yushu Liu

J. Comput., 2010

Exploiting the Interplay between Memory and Flash Storage in Embedded Sensor Devices.

Devesh Agrawal, Boduo Li, Zhao Cao, Deepak Ganesan, Yanlei Diao, Prashant J. Shenoy

Proceedings of the 16th IEEE International Conference on Embedded and Real-Time Computing Systems and Applications, 2010

2008

A Multi-Level Super Peer Based P2P Architecture.

Zhao Cao, Kan Li, Yushu Liu

Proceedings of the 2008 International Conference on Information Networking, 2008