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2020 – today
- 2024
- [j10]Xianwu Huang, Yuxiao Wang, Zhao Cao, Haili Shang, Jinshan Zhang, Dahua Yu:
Flotation froth image deblurring algorithm based on disentangled representations. J. Electronic Imaging 33(3) (2024) - [j9]Yuxiao Wang, Xianwu Huang, Haili Shang, Jinshan Zhang, Zhao Cao:
A multiscale network for deblurring coal slurry foam images. Signal Image Video Process. 18(5): 4841-4849 (2024) - [j8]Qi Liu
, Gang Guo
An Analysis on Matching Mechanisms and Token Pruning for Late-interaction Models. ACM Trans. Inf. Syst. 42(5): 118:1-118:28 (2024) - [c51]Yan Fang, Qingyao Ai, Jingtao Zhan, Yiqun Liu, Xiaolong Wu, Zhao Cao:
Combining Multiple Supervision for Robust Zero-Shot Dense Retrieval. AAAI 2024: 17994-18002 - [c50]Yulan Hu, Ge Chen, Sheng Ouyang, Zhirui Yang, Junchen Wan, Fuzheng Zhang, Zhongyuan Wang, Zhao Cao, Shangquan Wu, Yong Liu:
Advancing Latent Representation Ranking for Masked Graph Autoencoder. DASFAA (6) 2024: 385-394 - [c49]Nanyi Fei
VEMO: A Versatile Elastic Multi-modal Model for Search-Oriented Multi-task Learning. ECIR (1) 2024: 56-72 - [c48]Zelong Sun, Guoxing Yang, Zhiwu Lu, Hao Jiang, Guojie Zhu, Zhao Cao:
Image Retrieval with Composed Query by Multi-Scale Multi-Modal Fusion. ICASSP 2024: 5950-5954 - [c47]Peitian Zhang
Generative Retrieval via Term Set Generation. SIGIR 2024: 458-468 - [c46]Yihan Wu
Understanding Human Preferences: Towards More Personalized Video to Text Generation. WWW 2024: 3952-3963 - [i34]Qi Liu, Gang Guo, Jiaxin Mao, Zhicheng Dou, Ji-Rong Wen, Hao Jiang, Xinyu Zhang, Zhao Cao:
An Analysis on Matching Mechanisms and Token Pruning for Late-interaction Models. CoRR abs/2403.13291 (2024) - [i33]Wentong Chen, Yankai Lin, ZhenHao Zhou, HongYun Huang, Yantao Jia, Zhao Cao, Ji-Rong Wen:
ICLEval: Evaluating In-Context Learning Ability of Large Language Models. CoRR abs/2406.14955 (2024) - 2023
- [j7]Qingyao Ai
Information Retrieval meets Large Language Models: A strategic report from Chinese IR community. AI Open 4: 80-90 (2023) - [c45]Yuhang Ye
Learning from the Wisdom of Crowds: Exploiting Similar Sessions for Session Search. AAAI 2023: 4818-4826 - [c44]Yongkang Wu, Meng Han, Yutao Zhu, Lei Li, Xinyu Zhang, Ruofei Lai, Xiaoguang Li, Yuanhang Ren, Zhicheng Dou, Zhao Cao:
Hence, Socrates is mortal: A Benchmark for Natural Language Syllogistic Reasoning. ACL (Findings) 2023: 2347-2367 - [c43]Zheng Liu, Shitao Xiao, Yingxia Shao, Zhao Cao:
RetroMAE-2: Duplex Masked Auto-Encoder For Pre-Training Retrieval-Oriented Language Models. ACL (1) 2023: 2635-2648 - [c42]Kelong Mao, Zhicheng Dou, Bang Liu, Hongjin Qian, Fengran Mo, Xiangli Wu, Xiaohua Cheng, Zhao Cao:
Search-Oriented Conversational Query Editing. ACL (Findings) 2023: 4160-4172 - [c41]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 - [c40]Chaojun Xiao, Zhengyan Zhang, Xu Han, Chi-Min Chan, Yankai Lin, Zhiyuan Liu, Xiangyang Li, Zhonghua Li, Zhao Cao, Maosong Sun:
Plug-and-Play Document Modules for Pre-trained Models. ACL (1) 2023: 15713-15729 - [c39]Zhangyue Yin, Yuxin Wang, Xiannian Hu, Yiguang Wu, Hang Yan, Xinyu Zhang, Zhao Cao, Xuanjing Huang, Xipeng Qiu:
Rethinking Label Smoothing on Multi-Hop Question Answering. CCL 2023: 72-87 - [c38]Yunpeng Han, Lisai Zhang
FashionSAP: Symbols and Attributes Prompt for Fine-Grained Fashion Vision-Language Pre-Training. CVPR 2023: 15028-15038 - [c37]Zhebin Zhang, Xinyu Zhang, Yuanhang Ren, Saijiang Shi, Meng Han, Yongkang Wu, Ruofei Lai, Zhao Cao:
IAG: Induction-Augmented Generation Framework for Answering Reasoning Questions. EMNLP 2023: 1-14 - [c36]Jingcong Liang
Hi-ArG: Exploring the Integration of Hierarchical Argumentation Graphs in Language Pretraining. EMNLP 2023: 14606-14620 - [c35]Jiayu Lin, Rong Ye, Meng Han, Qi Zhang, Ruofei Lai, Xinyu Zhang, Zhao Cao, Xuanjing Huang, Zhongyu Wei:
Argue with Me Tersely: Towards Sentence-Level Counter-Argument Generation. EMNLP 2023: 16705-16720 - [c34]Xiaolei Wang
Improving Conversational Recommendation Systems via Counterfactual Data Simulation. KDD 2023: 2398-2408 - [c33]Ziliang Zhao
Improving Search Clarification with Structured Information Extracted from Search Results. KDD 2023: 3549-3558 - [c32]Qianqian Chen
Fashion-GPT: Integrating LLMs with Fashion Retrieval System. LGM3A@MM 2023: 69-78 - [c31]Zheng Wang
LGM3A '23: 1st Workshop on Large Generative Models Meet Multimodal Applications. ACM Multimedia 2023: 9744-9745 - [c30]Hao Pu, Yuchong Sun, Ruihua Song, Xu Chen, Hao Jiang, Yi Liu, Zhao Cao:
Going Beyond Closed Sets: A Multimodal Perspective for Video Emotion Analysis. PRCV (6) 2023: 233-244 - [c29]Zhipeng Zhao
Alleviating the Long-Tail Problem in Conversational Recommender Systems. RecSys 2023: 374-385 - [c28]Haitao Li
Constructing Tree-based Index for Efficient and Effective Dense Retrieval. SIGIR 2023: 131-140 - [c27]Zhen Tian
EulerNet: Adaptive Feature Interaction Learning via Euler's Formula for CTR Prediction. SIGIR 2023: 1376-1385 - [c26]Chaofan Li
LibVQ: A Toolkit for Optimizing Vector Quantization and Efficient Neural Retrieval. SIGIR 2023: 3095-3099 - [c25]Kelong Mao
Learning Denoised and Interpretable Session Representation for Conversational Search. WWW 2023: 3193-3202 - [e1]Zheng Wang, Cheng Long, Shihao Xu, Bingzheng Gan, Wei Shi, Zhao Cao, Tat-Seng Chua:
Proceedings of the 1st Workshop on Large Generative Models Meet Multimodal Applications, LGM3A 2023, Ottawa ON, Canada, 2 November 2023. ACM 2023 [contents] - [i32]Lisai Zhang, Qingcai Chen, Zhijian Chen, Yunpeng Han, Zhonghua Li, Zhao Cao:
Replacement as a Self-supervision for Fine-grained Vision-language Pre-training. CoRR abs/2303.05313 (2023) - [i31]Hongjing Qian, Yutao Zhu, Zhicheng Dou, Haoqi Gu, Xinyu Zhang, Zheng Liu
WebBrain: Learning to Generate Factually Correct Articles for Queries by Grounding on Large Web Corpus. CoRR abs/2304.04358 (2023) - [i30]Yunpeng Han, Lisai Zhang, Qingcai Chen, Zhijian Chen, Zhonghua Li, Jianxin Yang, Zhao Cao:
FashionSAP: Symbols and Attributes Prompt for Fine-grained Fashion Vision-Language Pre-training. CoRR abs/2304.05051 (2023) - [i29]Si Sun, Yida Lu, Shi Yu, Xiangyang Li, Zhonghua Li, Zhao Cao, Zhiyuan Liu, Deiming Ye, Jie Bao:
Rethinking Dense Retrieval's Few-Shot Ability. CoRR abs/2304.05845 (2023) - [i28]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) - [i27]Haitao Li, Qingyao Ai, Jingtao Zhan, Jiaxin Mao, Yiqun Liu, Zheng Liu
Constructing Tree-based Index for Efficient and Effective Dense Retrieval. CoRR abs/2304.11943 (2023) - [i26]Shitao Xiao, Zheng Liu
RetroMAE-2: Duplex Masked Auto-Encoder For Pre-Training Retrieval-Oriented Language Models. CoRR abs/2305.02564 (2023) - [i25]Peitian Zhang, Zheng Liu, Yujia Zhou, Zhicheng Dou, Zhao Cao:
Term-Sets Can Be Strong Document Identifiers For Auto-Regressive Search Engines. CoRR abs/2305.13859 (2023) - [i24]Chaojun Xiao, Zhengyan Zhang, Xu Han, Chi-Min Chan
Plug-and-Play Document Modules for Pre-trained Models. CoRR abs/2305.17660 (2023) - [i23]Xiaolei Wang
Improving Conversational Recommendation Systems via Counterfactual Data Simulation. CoRR abs/2306.02842 (2023) - [i22]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) - [i21]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) - [i20]Zhipeng Zhao, Kun Zhou, Xiaolei Wang
Alleviating the Long-Tail Problem in Conversational Recommender Systems. CoRR abs/2307.11650 (2023) - [i19]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) - [i18]Zhen Tian, Changwang Zhang, Wayne Xin Zhao, Xin Zhao, Ji-Rong Wen, Zhao Cao:
UFIN: Universal Feature Interaction Network for Multi-Domain Click-Through Rate Prediction. CoRR abs/2311.15493 (2023) - [i17]Zhebin Zhang, Xinyu Zhang, Yuanhang Ren, Saijiang Shi, Meng Han, Yongkang Wu, Ruofei Lai, Zhao Cao:
IAG: Induction-Augmented Generation Framework for Answering Reasoning Questions. CoRR abs/2311.18397 (2023) - [i16]Jingcong Liang, Rong Ye, Meng Han, Qi Zhang, Ruofei Lai, Xinyu Zhang, Zhao Cao, Xuanjing Huang, Zhongyu Wei:
Hi-ArG: Exploring the Integration of Hierarchical Argumentation Graphs in Language Pretraining. CoRR abs/2312.00874 (2023) - [i15]Jiayu Lin, Rong Ye, Meng Han, Qi Zhang, Ruofei Lai, Xinyu Zhang, Zhao Cao, Xuanjing Huang, Zhongyu Wei:
Argue with Me Tersely: Towards Sentence-Level Counter-Argument Generation. CoRR abs/2312.13608 (2023) - 2022
- [j6]Lisai Zhang
VLDeformer: Vision-Language Decomposed Transformer for fast cross-modal retrieval. Knowl. Based Syst. 252: 109316 (2022) - [c24]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:
Hyperlink-induced Pre-training for Passage Retrieval in Open-domain Question Answering. ACL (1) 2022: 7135-7146 - [c23]Haonan Chen, Zhicheng Dou
Enhancing User Behavior Sequence Modeling by Generative Tasks for Session Search. CIKM 2022: 180-190 - [c22]Hongfa Wu, Lisai Zhang
Contrastive Label Correlation Enhanced Unified Hashing Encoder for Cross-modal Retrieval. CIKM 2022: 2158-2168 - [c21]Zhaoye Fei, Yu Tian, Yongkang Wu, Xinyu Zhang, Yutao Zhu, Zheng Liu, Jiawen Wu, Dejiang Kong, Ruofei Lai, Zhao Cao, Zhicheng Dou, Xipeng Qiu:
Coarse-to-Fine: Hierarchical Multi-task Learning for Natural Language Understanding. COLING 2022: 4952-4964 - [c20]Jingyuan Wen, Yutian Luo, Nanyi Fei, Guoxing Yang, Zhiwu Lu, Hao Jiang, Jie Jiang, Zhao Cao:
Visual Prompt Tuning for Few-Shot Text Classification. COLING 2022: 5560-5570 - [c19]Shitao Xiao, Zheng Liu, Yingxia Shao, Zhao Cao:
RetroMAE: Pre-Training Retrieval-oriented Language Models Via Masked Auto-Encoder. EMNLP 2022: 538-548 - [c18]Kelong Mao, Zhicheng Dou, Hongjin Qian, Fengran Mo, Xiaohua Cheng, Zhao Cao:
ConvTrans: Transforming Web Search Sessions for Conversational Dense Retrieval. EMNLP 2022: 2935-2946 - [c17]Chengmin Wu, Enrui Hu, Ke Zhan, Lan Luo, Xinyu Zhang, Hao Jiang, Qirui Wang, Zhao Cao, Fan Yu, Lei Chen:
Triple-Fact Retriever: An explainable reasoning retrieval model for multi-hop QA problem. ICDE 2022: 1206-1218 - [c16]Qian Cao
Multi-Modal Experience Inspired AI Creation. ACM Multimedia 2022: 1445-1454 - [c15]Xiangyang Liu, Tianxiang Sun
Towards Efficient NLP: A Standard Evaluation and A Strong Baseline. NAACL-HLT 2022: 3288-3303 - [c14]Yizhao Gao, Nanyi Fei, Haoyu Lu, Zhiwu Lu, Hao Jiang, Yijie Li, Zhao Cao:
BMU-MoCo: Bidirectional Momentum Update for Continual Video-Language Modeling. NeurIPS 2022 - [c13]Yu Guo, Zhengyi Ma, Jiaxin Mao, Hongjin Qian
Webformer: Pre-training with Web Pages for Information Retrieval. SIGIR 2022: 1502-1512 - [c12]Chengzhen Fu, Enrui Hu, Letian Feng, Zhicheng Dou
Leveraging Multi-view Inter-passage Interactions for Neural Document Ranking. WSDM 2022: 298-306 - [i14]Daniel Gao, Yantao Jia, Lei Li, Chengzhen Fu, Zhicheng Dou, Hao Jiang, Xinyu Zhang, Lei Chen, Zhao Cao:
KMIR: A Benchmark for Evaluating Knowledge Memorization, Identification and Reasoning Abilities of Language Models. CoRR abs/2202.13529 (2022) - [i13]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:
Hyperlink-induced Pre-training for Passage Retrieval in Open-domain Question Answering. CoRR abs/2203.06942 (2022) - [i12]Zhaoye Fei, Yu Tian, Yongkang Wu, Xinyu Zhang, Yutao Zhu, Zheng Liu
Coarse-to-Fine: Hierarchical Multi-task Learning for Natural Language Understanding. CoRR abs/2208.09129 (2022) - [i11]Haonan Chen, Zhicheng Dou
Enhancing User Behavior Sequence Modeling by Generative Tasks for Session Search. CoRR abs/2208.10846 (2022) - [i10]Qian Cao, Xu Chen, Ruihua Song, Hao Jiang, Guang Yang, Zhao Cao:
Multi-Modal Experience Inspired AI Creation. CoRR abs/2209.02427 (2022) - [i9]Jiawen Wu, Xinyu Zhang, Yutao Zhu, Zheng Liu
Pre-training for Information Retrieval: Are Hyperlinks Fully Explored? CoRR abs/2209.06583 (2022) - [i8]Zhangyue Yin, Yuxin Wang, Yiguang Wu, Hang Yan, Xiannian Hu, Xinyu Zhang, Zhao Cao, Xuanjing Huang, Xipeng Qiu:
Rethinking Label Smoothing on Multi-hop Question Answering. CoRR abs/2212.09512 (2022) - 2021
- [c11]Zhengyi Ma, Zhicheng Dou
Pre-training for Ad-hoc Retrieval: Hyperlink is Also You Need. CIKM 2021: 1212-1221 - [c10]Xinyu Zhang, Ke Zhan, Enrui Hu, Chengzhen Fu, Lan Luo, Hao Jiang, Yantao Jia, Fan Yu, Zhicheng Dou
Answer Complex Questions: Path Ranker Is All You Need. SIGIR 2021: 449-458 - [i7]Tianxiang Sun
Early Exiting with Ensemble Internal Classifiers. CoRR abs/2105.13792 (2021) - [i6]Zhengyi Ma, Zhicheng Dou, Wei Xu, Xinyu Zhang, Hao Jiang, Zhao Cao, Ji-Rong Wen:
Pre-training for Ad-hoc Retrieval: Hyperlink is Also You Need. CoRR abs/2108.09346 (2021) - [i5]Ruizhi Pu, Xinyu Zhang, Ruofei Lai, Zikai Guo, Yinxia Zhang, Hao Jiang, Yongkang Wu, Yantao Jia, Zhicheng Dou, Zhao Cao:
YES SIR!Optimizing Semantic Space of Negatives with Self-Involvement Ranker. CoRR abs/2109.06436 (2021) - [i4]Xiangyang Liu, Tianxiang Sun, Junliang He, Lingling Wu, Xinyu Zhang, Hao Jiang, Zhao Cao, Xuanjing Huang, Xipeng Qiu:
Towards Efficient NLP: A Standard Evaluation and A Strong Baseline. CoRR abs/2110.07038 (2021) - [i3]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:
Towards More Effective and Economic Sparsely-Activated Model. CoRR abs/2110.07431 (2021) - [i2]Lisai Zhang, Hongfa Wu, Qingcai Chen, Yimeng Deng, Zhonghua Li, Dejiang Kong, Zhao Cao, Joanna Siebert, Yunpeng Han:
VLDeformer: Learning Visual-Semantic Embeddings by Vision-Language Transformer Decomposing. CoRR abs/2110.11338 (2021) - 2020
- [j5]Xiaojiang Du, Meng Shen, Zheng Chang, Zhao Cao:
Recent Advances in Security and Privacy for Future Intelligent Networks. IEEE Netw. 34(2): 4-5 (2020)
2010 – 2019
- 2018
- [c9]Wei Sheng, Zhao Cao, Dacheng Qu:
Efficient spark analysis on incremental datasets. ICCIP 2018: 27-32 - [c8]Chao Liu, Han Liu, Zhao Cao, Zhong Chen, Bangdao Chen, Bill Roscoe:
ReGuard: finding reentrancy bugs in smart contracts. ICSE (Companion Volume) 2018: 65-68 - 2017
- [c7]Kaixia Li, Zhao Cao, Dacheng Qu:
Fair Reviewer Assignment Considering Academic Social Network. APWeb/WAIM (1) 2017: 362-376 - 2016
- [c6]Ming Ke, Zhao Cao, Zhijing Li, Xuhui Chen:
The research of the brain default network using cascading algorithm. SNPD 2016: 481-486 - 2015
- [c5]Jia Zou, Juwei Shi, Tongping Liu, Zhao Cao, Chen Wang:
Foreseer: Workload-Aware Data Storage for MapReduce. ICDCS 2015: 746-747 - 2014
- [j4]Juwei Shi, Jia Zou, Jiaheng Lu, Zhao Cao, Shiqiang Li, Chen Wang:
MRTuner: A Toolkit to Enable Holistic Optimization for MapReduce Jobs. Proc. VLDB Endow. 7(13): 1319-1330 (2014) - [c4]Zhao Cao, Shimin Chen, Dongzhe Ma, Jianhua Feng, Min Wang:
Efficient and Flexible Index Access in MapReduce. EDBT 2014: 61-72 - 2013
- [c3]Zhao Cao, Shimin Chen, Feifei Li, Min Wang, Xiaoyang Sean Wang:
LogKV: Exploiting Key-Value Stores for Log Processing. CIDR 2013 - 2012
- [j3]Yanming Nie, Richard Cocci, Zhao Cao, Yanlei Diao, Prashant J. Shenoy
SPIRE: Efficient Data Inference and Compression over RFID Streams. IEEE Trans. Knowl. Data Eng. 24(1): 141-155 (2012) - 2011
- [j2]Zhao Cao, Charles Sutton, Yanlei Diao, Prashant J. Shenoy
Distributed inference and query processing for RFID tracking and monitoring. Proc. VLDB Endow. 4(5): 326-337 (2011) - [i1]Zhao Cao, Charles Sutton, Yanlei Diao, Prashant J. Shenoy:
Distributed Inference and Query Processing for RFID Tracking and Monitoring. CoRR abs/1103.4410 (2011) - 2010
- [j1]Shibin Zhou, Zhao Cao, Yushu Liu:
Classifying Documents with Maximum Likelihood Approximation of the Dirichlet Multinomial Gibbs Model. J. Comput. 5(4): 654-661 (2010) - [c2]Devesh Agrawal, Boduo Li, Zhao Cao, Deepak Ganesan, Yanlei Diao, Prashant J. Shenoy
Exploiting the Interplay between Memory and Flash Storage in Embedded Sensor Devices. RTCSA 2010: 227-236
2000 – 2009
- 2008
- [c1]Zhao Cao, Kan Li, Yushu Liu:
A Multi-Level Super Peer Based P2P Architecture. ICOIN 2008: 1-5
Coauthor Index
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