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Jiafeng Guo
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- affiliation: Chinese Academy of Sciences, Institute of Computing Technology, Beijing, China
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2020 – today
- 2024
- [j39]Xiaofei Zhu, Yidan Liu, Zhuo Chen, Xu Chen, Jiafeng Guo, Stefan Dietze:
A mutually enhanced multi-scale relation-aware graph convolutional network for argument pair extraction. J. Intell. Inf. Syst. 62(2): 555-574 (2024) - [j38]Yubao Tang
, Ruqing Zhang
, Jiafeng Guo
, Maarten de Rijke
, Wei Chen
, Xueqi Cheng
:
Listwise Generative Retrieval Models via a Sequential Learning Process. ACM Trans. Inf. Syst. 42(5): 133:1-133:31 (2024) - [c197]Yu-An Liu, Ruqing Zhang, Mingkun Zhang, Wei Chen, Maarten de Rijke, Jiafeng Guo, Xueqi Cheng:
Perturbation-Invariant Adversarial Training for Neural Ranking Models: Improving the Effectiveness-Robustness Trade-Off. AAAI 2024: 8832-8840 - [c196]Kailin Zhao, Xiaolong Jin, Long Bai, Jiafeng Guo, Xueqi Cheng:
Class-Incremental Few-Shot Event Detection. LREC/COLING 2024: 3261-3270 - [c195]Jiyao Wei, Saiping Guan, Xiaolong Jin, Jiafeng Guo, Xueqi Cheng:
Few-shot Link Prediction on Hyper-relational Facts. LREC/COLING 2024: 7196-7207 - [c194]Weicheng Ren, Zixuan Li, Xiaolong Jin, Long Bai, Miao Su, Yantao Liu, Saiping Guan, Jiafeng Guo, Xueqi Cheng:
Nested Event Extraction upon Pivot Element Recognition. LREC/COLING 2024: 12127-12137 - [c193]Zhongni Hou, Xiaolong Jin, Zixuan Li, Long Bai, Jiafeng Guo, Xueqi Cheng:
Selective Temporal Knowledge Graph Reasoning. LREC/COLING 2024: 14555-14566 - [c192]Run-Ze Fan
, Yixing Fan
, Jiangui Chen
, Jiafeng Guo
, Ruqing Zhang
, Xueqi Cheng
:
RIGHT: Retrieval-Augmented Generation for Mainstream Hashtag Recommendation. ECIR (1) 2024: 39-55 - [c191]Keping Bi
, Xiaojie Sun
, Jiafeng Guo
, Xueqi Cheng
:
Reproducibility Analysis and Enhancements for Multi-aspect Dense Retriever with Aspect Learning. ECIR (4) 2024: 194-209 - [c190]Yubao Tang
, Ruqing Zhang
, Zhaochun Ren
, Jiafeng Guo
, Maarten de Rijke
:
Recent Advances in Generative Information Retrieval. ECIR (5) 2024: 363-368 - [c189]Yantao Liu, Zixuan Li, Xiaolong Jin, Yucan Guo, Long Bai, Saiping Guan, Jiafeng Guo, Xueqi Cheng:
An In-Context Schema Understanding Method for Knowledge Base Question Answering. KSEM (1) 2024: 419-434 - [c188]Yu-An Liu
, Ruqing Zhang
, Jiafeng Guo
, Maarten de Rijke
, Yixing Fan
, Xueqi Cheng
:
Multi-granular Adversarial Attacks against Black-box Neural Ranking Models. SIGIR 2024: 1391-1400 - [c187]Hengran Zhang
, Ruqing Zhang
, Jiafeng Guo
, Maarten de Rijke
, Yixing Fan
, Xueqi Cheng
:
Are Large Language Models Good at Utility Judgments? SIGIR 2024: 1941-1951 - [c186]Yubao Tang
, Ruqing Zhang
, Zhaochun Ren
, Jiafeng Guo
, Maarten de Rijke
:
Recent Advances in Generative Information Retrieval. SIGIR 2024: 3005-3008 - [c185]Yu-An Liu
, Ruqing Zhang
, Jiafeng Guo
, Maarten de Rijke
:
Robust Information Retrieval. SIGIR 2024: 3009-3012 - [c184]Xiaojie Sun
, Keping Bi
, Jiafeng Guo
, Sihui Yang
, Qishen Zhang
, Zhongyi Liu
, Guannan Zhang
, Xueqi Cheng
:
A Multi-Granularity-Aware Aspect Learning Model for Multi-Aspect Dense Retrieval. WSDM 2024: 674-682 - [c183]Yubao Tang
, Ruqing Zhang
, Weiwei Sun
, Jiafeng Guo
, Maarten de Rijke
:
Recent Advances in Generative Information Retrieval. WWW (Companion Volume) 2024: 1238-1241 - [i121]Keping Bi, Xiaojie Sun, Jiafeng Guo, Xueqi Cheng:
Reproducibility Analysis and Enhancements for Multi-Aspect Dense Retriever with Aspect Learning. CoRR abs/2401.03648 (2024) - [i120]Lu Chen, Wei Huang, Ruqing Zhang, Wei Chen, Jiafeng Guo, Xueqi Cheng:
A Unified Causal View of Instruction Tuning. CoRR abs/2402.06220 (2024) - [i119]Shiyu Ni, Keping Bi, Jiafeng Guo, Xueqi Cheng:
When Do LLMs Need Retrieval Augmentation? Mitigating LLMs' Overconfidence Helps Retrieval Augmentation. CoRR abs/2402.11457 (2024) - [i118]Wanqing Cui, Keping Bi, Jiafeng Guo, Xueqi Cheng:
MORE: Multi-mOdal REtrieval Augmented Generative Commonsense Reasoning. CoRR abs/2402.13625 (2024) - [i117]Jiafeng Guo, Changjiang Zhou, Ruqing Zhang, Jiangui Chen, Maarten de Rijke, Yixing Fan, Xueqi Cheng:
CorpusBrain++: A Continual Generative Pre-Training Framework for Knowledge-Intensive Language Tasks. CoRR abs/2402.16767 (2024) - [i116]Zixuan Li, Yutao Zeng, Yuxin Zuo, Weicheng Ren, Wenxuan Liu, Miao Su, Yucan Guo, Yantao Liu, Xiang Li, Zhilei Hu, Long Bai, Wei Li, Yidan Liu, Pan Yang, Xiaolong Jin, Jiafeng Guo, Xueqi Cheng:
KnowCoder: Coding Structured Knowledge into LLMs for Universal Information Extraction. CoRR abs/2403.07969 (2024) - [i115]Yubao Tang, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Wei Chen, Xueqi Cheng:
Listwise Generative Retrieval Models via a Sequential Learning Process. CoRR abs/2403.12499 (2024) - [i114]Hengran Zhang, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Yixing Fan, Xueqi Cheng:
Are Large Language Models Good at Utility Judgments? CoRR abs/2403.19216 (2024) - [i113]Yu-An Liu, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Yixing Fan, Xueqi Cheng:
Multi-granular Adversarial Attacks against Black-box Neural Ranking Models. CoRR abs/2404.01574 (2024) - [i112]Zhongni Hou, Xiaolong Jin, Zixuan Li, Long Bai, Jiafeng Guo, Xueqi Cheng:
Selective Temporal Knowledge Graph Reasoning. CoRR abs/2404.01695 (2024) - [i111]Kailin Zhao, Xiaolong Jin, Long Bai, Jiafeng Guo, Xueqi Cheng:
Class-Incremental Few-Shot Event Detection. CoRR abs/2404.01767 (2024) - [i110]Yu-An Liu, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke:
Robust Information Retrieval. CoRR abs/2406.08891 (2024) - [i109]Hengran Zhang, Keping Bi, Jiafeng Guo, Xueqi Cheng:
Iterative Utility Judgment Framework via LLMs Inspired by Relevance in Philosophy. CoRR abs/2406.11290 (2024) - [i108]Yuchen Wen, Keping Bi, Wei Chen, Jiafeng Guo, Xueqi Cheng:
Evaluating Implicit Bias in Large Language Models by Attacking From a Psychometric Perspective. CoRR abs/2406.14023 (2024) - [i107]Miao Su, Zixuan Li, Zhuo Chen, Long Bai, Xiaolong Jin, Jiafeng Guo:
Temporal Knowledge Graph Question Answering: A Survey. CoRR abs/2406.14191 (2024) - [i106]Yu-An Liu, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Yixing Fan, Xueqi Cheng:
Robust Neural Information Retrieval: An Adversarial and Out-of-distribution Perspective. CoRR abs/2407.06992 (2024) - 2023
- [j37]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. AI Open 4: 80-90 (2023) - [j36]Xiaofei Zhu
, Zhanwang Peng, Jiafeng Guo, Stefan Dietze:
Generating effective label description for label-aware sentiment classification. Expert Syst. Appl. 213(Part): 119194 (2023) - [j35]Xiaofei Zhu
, Chenghong Li, Jiafeng Guo, Stefan Dietze:
CNIM-GCN: Consensus Neighbor Interaction-based Multi-channel Graph Convolutional Networks. Expert Syst. Appl. 226: 120178 (2023) - [j34]Xiaofei Zhu, Gu Tang
, Pengfei Wang
, Chenliang Li, Jiafeng Guo, Stefan Dietze:
Dynamic global structure enhanced multi-channel graph neural network for session-based recommendation. Inf. Sci. 624: 324-343 (2023) - [j33]Ling Zhu, Xiaofei Zhu
, Jiafeng Guo, Stefan Dietze:
Exploring rich structure information for aspect-based sentiment classification. J. Intell. Inf. Syst. 60(1): 97-117 (2023) - [j32]Xin Hong
, Yanyan Lan
, Liang Pang
, Jiafeng Guo
, Xueqi Cheng
:
Visual Reasoning: From State to Transformation. IEEE Trans. Pattern Anal. Mach. Intell. 45(9): 11352-11364 (2023) - [j31]Saiping Guan
, Xiaolong Jin
, Jiafeng Guo
, Yuanzhuo Wang, Xueqi Cheng:
Link Prediction on N-ary Relational Data Based on Relatedness Evaluation. IEEE Trans. Knowl. Data Eng. 35(1): 672-685 (2023) - [j30]Saiping Guan
, Xueqi Cheng
, Long Bai, Fujun Zhang
, Zixuan Li, Yutao Zeng, Xiaolong Jin
, Jiafeng Guo
:
What is Event Knowledge Graph: A Survey. IEEE Trans. Knowl. Data Eng. 35(7): 7569-7589 (2023) - [j29]Chen Wu
, Ruqing Zhang
, Jiafeng Guo
, Yixing Fan
, Xueqi Cheng
:
Are Neural Ranking Models Robust? ACM Trans. Inf. Syst. 41(2): 29:1-29:36 (2023) - [j28]Chen Wu
, Ruqing Zhang
, Jiafeng Guo
, Maarten de Rijke
, Yixing Fan
, Xueqi Cheng
:
PRADA: Practical Black-box Adversarial Attacks against Neural Ranking Models. ACM Trans. Inf. Syst. 41(4): 89:1-89:27 (2023) - [c182]Chenhao Li, Qiang Qiu, Zhibin Zhang, Jiafeng Guo, Xueqi Cheng:
Learning Adversarially Robust Sparse Networks via Weight Reparameterization. AAAI 2023: 8527-8535 - [c181]Long Bai
, Saiping Guan, Zixuan Li, Jiafeng Guo, Xiaolong Jin, Xueqi Cheng:
Rich Event Modeling for Script Event Prediction. AAAI 2023: 12553-12561 - [c180]Zhilei Hu, Zixuan Li, Xiaolong Jin, Long Bai, Saiping Guan, Jiafeng Guo, Xueqi Cheng:
Semantic Structure Enhanced Event Causality Identification. ACL (1) 2023: 10901-10913 - [c179]Yinqiong Cai
, Keping Bi
, Yixing Fan
, Jiafeng Guo
, Wei Chen, Xueqi Cheng
:
L2R: Lifelong Learning for First-stage Retrieval with Backward-Compatible Representations. CIKM 2023: 183-192 - [c178]Lu Chen
, Ruqing Zhang
, Wei Huang
, Wei Chen
, Jiafeng Guo
, Xueqi Cheng
:
Inducing Causal Structure for Abstractive Text Summarization. CIKM 2023: 213-223 - [c177]Jiangui Chen
, Ruqing Zhang
, Jiafeng Guo
, Maarten de Rijke
, Wei Chen
, Yixing Fan
, Xueqi Cheng
:
Continual Learning for Generative Retrieval over Dynamic Corpora. CIKM 2023: 306-315 - [c176]Yu-An Liu
, Ruqing Zhang
, Jiafeng Guo
, Maarten de Rijke
, Wei Chen
, Yixing Fan
, Xueqi Cheng
:
Black-box Adversarial Attacks against Dense Retrieval Models: A Multi-view Contrastive Learning Method. CIKM 2023: 1647-1656 - [c175]Xiaojie Sun
, Keping Bi
, Jiafeng Guo
, Xinyu Ma
, Yixing Fan
, Hongyu Shan
, Qishen Zhang
, Zhongyi Liu
:
Pre-training with Aspect-Content Text Mutual Prediction for Multi-Aspect Dense Retrieval. CIKM 2023: 4300-4304 - [c174]Yiyi Liu, Ruqing Zhang, Yixing Fan, Jiafeng Guo, Xueqi Cheng:
Prompt Tuning with Contradictory Intentions for Sarcasm Recognition. EACL 2023: 328-339 - [c173]Zhongni Hou, Xiaolong Jin, Zixuan Li, Long Bai, Saiping Guan, Yutao Zeng, Jiafeng Guo, Xueqi Cheng:
Temporal Knowledge Graph Reasoning Based on N-tuple Modeling. EMNLP (Findings) 2023: 1090-1100 - [c172]Hengran Zhang, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Yixing Fan, Xueqi Cheng:
From Relevance to Utility: Evidence Retrieval with Feedback for Fact Verification. EMNLP (Findings) 2023: 6373-6384 - [c171]Jingtao Zhan, Jiaxin Mao, Yiqun Liu, Jiafeng Guo, Min Zhang, Shaoping Ma:
Learning Discrete Representations via Constrained Clustering for Effective and Efficient Dense Retrieval (Extended Abstract). IJCAI 2023: 6504-6508 - [c170]Yubao Tang
, Ruqing Zhang
, Jiafeng Guo
, Jiangui Chen
, Zuowei Zhu
, Shuaiqiang Wang
, Dawei Yin
, Xueqi Cheng
:
Semantic-Enhanced Differentiable Search Index Inspired by Learning Strategies. KDD 2023: 4904-4913 - [c169]Jiangui Chen
, Ruqing Zhang
, Jiafeng Guo
, Maarten de Rijke
, Yiqun Liu
, Yixing Fan
, Xueqi Cheng
:
A Unified Generative Retriever for Knowledge-Intensive Language Tasks via Prompt Learning. SIGIR 2023: 1448-1457 - [c168]Yu-An Liu
, Ruqing Zhang
, Jiafeng Guo
, Maarten de Rijke
, Wei Chen
, Yixing Fan
, Xueqi Cheng
:
Topic-oriented Adversarial Attacks against Black-box Neural Ranking Models. SIGIR 2023: 1700-1709 - [c167]Shiyu Ni
, Keping Bi
, Jiafeng Guo
, Xueqi Cheng
:
A Comparative Study of Training Objectives for Clarification Facet Generation. SIGIR-AP 2023: 1-10 - [c166]Yubao Tang
, Ruqing Zhang
, Jiafeng Guo
, Maarten de Rijke
:
Recent Advances in Generative Information Retrieval. SIGIR-AP 2023: 294-297 - [i105]Lulu Yu, Yiting Wang, Xiaojie Sun, Keping Bi, Jiafeng Guo:
Feature-Enhanced Network with Hybrid Debiasing Strategies for Unbiased Learning to Rank. CoRR abs/2302.07530 (2023) - [i104]Xiaojie Sun, Lulu Yu, Yiting Wang, Keping Bi, Jiafeng Guo:
Ensemble Ranking Model with Multiple Pretraining Strategies for Web Search. CoRR abs/2302.09340 (2023) - [i103]Jiangui Chen, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Yiqun Liu, Yixing Fan, Xueqi Cheng:
A Unified Generative Retriever for Knowledge-Intensive Language Tasks via Prompt Learning. CoRR abs/2304.14856 (2023) - [i102]Yu-An Liu, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Wei Chen, Yixing Fan, Xueqi Cheng:
Topic-oriented Adversarial Attacks against Black-box Neural Ranking Models. CoRR abs/2304.14867 (2023) - [i101]Xin Hong, Yanyan Lan, Liang Pang, Jiafeng Guo, Xueqi Cheng:
Visual Reasoning: from State to Transformation. CoRR abs/2305.01668 (2023) - [i100]Xin Hong, Yanyan Lan, Liang Pang, Jiafeng Guo, Xueqi Cheng:
Visual Transformation Telling. CoRR abs/2305.01928 (2023) - [i99]Jiyao Wei, Saiping Guan, Xiaolong Jin, Jiafeng Guo, Xueqi Cheng:
Few-shot Link Prediction on N-ary Facts. CoRR abs/2305.06104 (2023) - [i98]Zhilei Hu, Zixuan Li, Xiaolong Jin, Long Bai, Saiping Guan, Jiafeng Guo, Xueqi Cheng:
Semantic Structure Enhanced Event Causality Identification. CoRR abs/2305.12792 (2023) - [i97]Yubao Tang, Ruqing Zhang, Jiafeng Guo, Jiangui Chen, Zuowei Zhu, Shuaiqiang Wang, Dawei Yin, Xueqi Cheng:
Semantic-Enhanced Differentiable Search Index Inspired by Learning Strategies. CoRR abs/2305.15115 (2023) - [i96]Yu-An Liu, Ruqing Zhang, Jiafeng Guo, Wei Chen, Xueqi Cheng:
On the Robustness of Generative Retrieval Models: An Out-of-Distribution Perspective. CoRR abs/2306.12756 (2023) - [i95]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) - [i94]Yu-An Liu, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Wei Chen, Yixing Fan, Xueqi Cheng:
Black-box Adversarial Attacks against Dense Retrieval Models: A Multi-view Contrastive Learning Method. CoRR abs/2308.09861 (2023) - [i93]Xiaojie Sun, Keping Bi, Jiafeng Guo, Xinyu Ma, Yixing Fan, Hongyu Shan, Qishen Zhang, Zhongyi Liu:
Pre-training with Aspect-Content Text Mutual Prediction for Multi-Aspect Dense Retrieval. CoRR abs/2308.11474 (2023) - [i92]Yinqiong Cai, Keping Bi, Yixing Fan, Jiafeng Guo, Wei Chen, Xueqi Cheng:
L^2R: Lifelong Learning for First-stage Retrieval with Backward-Compatible Representations. CoRR abs/2308.11512 (2023) - [i91]Lu Chen, Ruqing Zhang, Wei Huang, Wei Chen, Jiafeng Guo, Xueqi Cheng:
Inducing Causal Structure for Abstractive Text Summarization. CoRR abs/2308.12888 (2023) - [i90]Jiangui Chen, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Wei Chen, Yixing Fan, Xueqi Cheng:
Continual Learning for Generative Retrieval over Dynamic Corpora. CoRR abs/2308.14968 (2023) - [i89]Zhilei Hu, Zixuan Li, Daozhu Xu, Long Bai, Cheng Jin, Xiaolong Jin, Jiafeng Guo, Xueqi Cheng:
ProtoEM: A Prototype-Enhanced Matching Framework for Event Relation Extraction. CoRR abs/2309.12892 (2023) - [i88]Weicheng Ren, Zixuan Li, Xiaolong Jin, Long Bai, Miao Su, Yantao Liu, Saiping Guan, Jiafeng Guo, Xueqi Cheng:
Nested Event Extraction upon Pivot Element Recogniton. CoRR abs/2309.12960 (2023) - [i87]Shiyu Ni, Keping Bi, Jiafeng Guo, Xueqi Cheng:
A Comparative Study of Training Objectives for Clarification Facet Generation. CoRR abs/2310.00703 (2023) - [i86]Hengran Zhang, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Yixing Fan, Xueqi Cheng:
From Relevance to Utility: Evidence Retrieval with Feedback for Fact Verification. CoRR abs/2310.11675 (2023) - [i85]Lulu Yu, Keping Bi, Jiafeng Guo, Xueqi Cheng:
CIR at the NTCIR-17 ULTRE-2 Task. CoRR abs/2310.11852 (2023) - [i84]Yantao Liu, Zixuan Li, Xiaolong Jin, Long Bai, Saiping Guan, Jiafeng Guo, Xueqi Cheng:
An In-Context Schema Understanding Method for Knowledge Base Question Answering. CoRR abs/2310.14174 (2023) - [i83]Yinqiong Cai, Yixing Fan, Keping Bi, Jiafeng Guo, Wei Chen, Ruqing Zhang, Xueqi Cheng:
CAME: Competitively Learning a Mixture-of-Experts Model for First-stage Retrieval. CoRR abs/2311.02834 (2023) - [i82]Yucan Guo, Zixuan Li, Xiaolong Jin, Yantao Liu, Yutao Zeng, Wenxuan Liu, Xiang Li, Pan Yang, Long Bai, Jiafeng Guo, Xueqi Cheng:
Retrieval-Augmented Code Generation for Universal Information Extraction. CoRR abs/2311.02962 (2023) - [i81]Xiaojie Sun, Keping Bi, Jiafeng Guo, Sihui Yang, Qishen Zhang, Zhongyi Liu, Guannan Zhang, Xueqi Cheng:
A Multi-Granularity-Aware Aspect Learning Model for Multi-Aspect Dense Retrieval. CoRR abs/2312.02538 (2023) - [i80]Yu-An Liu, Ruqing Zhang, Mingkun Zhang, Wei Chen, Maarten de Rijke, Jiafeng Guo, Xueqi Cheng:
Perturbation-Invariant Adversarial Training for Neural Ranking Models: Improving the Effectiveness-Robustness Trade-Off. CoRR abs/2312.10329 (2023) - [i79]Run-Ze Fan, Yixing Fan, Jiangui Chen, Jiafeng Guo, Ruqing Zhang, Xueqi Cheng:
RIGHT: Retrieval-augmented Generation for Mainstream Hashtag Recommendation. CoRR abs/2312.10466 (2023) - 2022
- [j27]Yixing Fan, Xiaohui Xie, Yinqiong Cai, Jia Chen
, Xinyu Ma, Xiangsheng Li, Ruqing Zhang, Jiafeng Guo:
Pre-training Methods in Information Retrieval. Found. Trends Inf. Retr. 16(3): 178-317 (2022) - [j26]Gu Tang
, Xiaofei Zhu
, Jiafeng Guo, Stefan Dietze:
Time enhanced graph neural networks for session-based recommendation. Knowl. Based Syst. 251: 109204 (2022) - [j25]Ruqing Zhang, Jiafeng Guo, Lu Chen, Yixing Fan, Xueqi Cheng:
A Review on Question Generation from Natural Language Text. ACM Trans. Inf. Syst. 40(1): 14:1-14:43 (2022) - [j24]Jiafeng Guo, Yinqiong Cai, Yixing Fan, Fei Sun, Ruqing Zhang, Xueqi Cheng:
Semantic Models for the First-Stage Retrieval: A Comprehensive Review. ACM Trans. Inf. Syst. 40(4): 66:1-66:42 (2022) - [c165]Zixuan Li, Saiping Guan, Xiaolong Jin, Weihua Peng, Yajuan Lyu, Yong Zhu, Long Bai, Wei Li, Jiafeng Guo, Xueqi Cheng:
Complex Evolutional Pattern Learning for Temporal Knowledge Graph Reasoning. ACL (2) 2022: 290-296 - [c164]Yan Xiao, Yixing Fan, Ruqing Zhang, Jiafeng Guo:
Beyond Precision: A Study on Recall of Initial Retrieval with Neural Representations. CCIR 2022: 76-89 - [c163]Yinqiong Cai, Jiafeng Guo, Yixing Fan, Qingyao Ai, Ruqing Zhang, Xueqi Cheng:
Hard Negatives or False Negatives: Correcting Pooling Bias in Training Neural Ranking Models. CIKM 2022: 118-127 - [c162]Jiangui Chen
, Ruqing Zhang, Jiafeng Guo, Yiqun Liu, Yixing Fan, Xueqi Cheng:
CorpusBrain: Pre-train a Generative Retrieval Model for Knowledge-Intensive Language Tasks. CIKM 2022: 191-200 - [c161]Xinyu Ma, Jiafeng Guo, Ruqing Zhang, Yixing Fan, Xueqi Cheng:
Scattered or Connected? An Optimized Parameter-efficient Tuning Approach for Information Retrieval. CIKM 2022: 1471-1480 - [c160]Chen Wu, Ruqing Zhang, Jiafeng Guo, Wei Chen, Yixing Fan, Maarten de Rijke
, Xueqi Cheng:
Certified Robustness to Word Substitution Ranking Attack for Neural Ranking Models. CIKM 2022: 2128-2137 - [c159]Jingtao Zhan, Xiaohui Xie, Jiaxin Mao, Yiqun Liu, Jiafeng Guo, Min Zhang, Shaoping Ma:
Evaluating Interpolation and Extrapolation Performance of Neural Retrieval Models. CIKM 2022: 2486-2496 - [c158]Lu Chen, Ruqing Zhang, Jiafeng Guo, Yixing Fan, Xueqi Cheng:
Discriminative Language Model via Self-Teaching for Dense Retrieval. CIKM 2022: 3858-3862 - [c157]Xinyu Ma, Ruqing Zhang, Jiafeng Guo, Yixing Fan, Xueqi Cheng:
A Contrastive Pre-training Approach to Discriminative Autoencoder for Dense Retrieval. CIKM 2022: 4314-4318 - [c156]Kailin Zhao, Xiaolong Jin, Saiping Guan, Jiafeng Guo, Xueqi Cheng:
MetaSLRCL: A Self-Adaptive Learning Rate and Curriculum Learning Based Framework for Few-Shot Text Classification. COLING 2022: 2065-2074 - [c155]Yequan Wang, Xiang Li, Aixin Sun, Xuying Meng, Huaming Liao, Jiafeng Guo:
CofeNet: Context and Former-Label Enhanced Net for Complicated Quotation Extraction. COLING 2022: 2438-2449 - [c154]Sihao Yu, Jiafeng Guo, Ruqing Zhang, Yixing Fan, Zizhen Wang, Xueqi Cheng:
A Re-Balancing Strategy for Class-Imbalanced Classification Based on Instance Difficulty. CVPR 2022: 70-79 - [c153]Wen Sun, Yixing Fan, Jiafeng Guo, Ruqing Zhang, Xueqi Cheng:
Visual Named Entity Linking: A New Dataset and A Baseline. EMNLP (Findings) 2022: 2403-2415 - [c152]Kailin Zhao, Xiaolong Jin, Long Bai, Jiafeng Guo, Xueqi Cheng:
Knowledge-Enhanced Self-Supervised Prototypical Network for Few-Shot Event Detection. EMNLP (Findings) 2022: 6266-6275 - [c151]Zixuan Li, Zhongni Hou, Saiping Guan, Xiaolong Jin, Weihua Peng, Long Bai, Yajuan Lyu, Wei Li, Jiafeng Guo, Xueqi Cheng:
HiSMatch: Historical Structure Matching based Temporal Knowledge Graph Reasoning. EMNLP (Findings) 2022: 7328-7338 - [c150]Yuanzheng Wang, Xueqi Cheng, Yixing Fan, Xiaofei Zhu, Huasheng Liang, Qiang Yan, Jiafeng Guo:
MGAD: Learning Descriptional Representation Distilled from Distributional Semantics for Unseen Entities. IJCAI 2022: 4404-4410 - [c149]Jingtao Zhan, Jiaxin Mao, Yiqun Liu, Jiafeng Guo, Min Zhang, Shaoping Ma:
Learning Discrete Representations via Constrained Clustering for Effective and Efficient Dense Retrieval (Extended Abstract). IJCAI 2022: 5374-5378 - [c148]Yiyi Liu, Yequan Wang, Aixin Sun, Xuying Meng, Jing Li, Jiafeng Guo:
A Dual-Channel Framework for Sarcasm Recognition by Detecting Sentiment Conflict. NAACL-HLT (Findings) 2022: 1670-1680 - [c147]Xinyu Ma
, Jiafeng Guo, Ruqing Zhang, Yixing Fan, Xueqi Cheng:
Pre-train a Discriminative Text Encoder for Dense Retrieval via Contrastive Span Prediction. SIGIR 2022: 848-858 - [c146]Jiangui Chen
, Ruqing Zhang, Jiafeng Guo, Yixing Fan, Xueqi Cheng:
GERE: Generative Evidence Retrieval for Fact Verification. SIGIR 2022: 2184-2189 - [c145]Huinan Huang, Yuming Feng, Xiaolong Jin, Saiping Guan, Jiafeng Guo:
DFS-NER: Description Enhanced Few-shot NER via Prompt Learning and Meta-Learning. WI/IAT 2022: 796-803 - [c144]Jingtao Zhan, Jiaxin Mao, Yiqun Liu, Jiafeng Guo, Min Zhang, Shaoping Ma:
Learning Discrete Representations via Constrained Clustering for Effective and Efficient Dense Retrieval. WSDM 2022: 1328-1336 - [i78]Zixuan Li, Saiping Guan, Xiaolong Jin, Weihua Peng, Yajuan Lyu, Yong Zhu, Long Bai, Wei Li, Jiafeng Guo, Xueqi Cheng:
Complex Evolutional Pattern Learning for Temporal Knowledge Graph Reasoning. CoRR abs/2203.07782 (2022) - [i77]Chen Wu, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Yixing Fan, Xueqi Cheng:
PRADA: Practical Black-Box Adversarial Attacks against Neural Ranking Models. CoRR abs/2204.01321 (2022) - [i76]Jiangui Chen, Ruqing Zhang, Jiafeng Guo, Yixing Fan, Xueqi Cheng:
GERE: Generative Evidence Retrieval for Fact Verification. CoRR abs/2204.05511 (2022) - [i75]Xinyu Ma, Jiafeng Guo, Ruqing Zhang, Yixing Fan, Xueqi Cheng:
Pre-train a Discriminative Text Encoder for Dense Retrieval via Contrastive Span Prediction. CoRR abs/2204.10641 (2022) - [i74]Jiangui Chen, Ruqing Zhang, Jiafeng Guo, Yiqun Liu, Yixing Fan, Xueqi Cheng:
CorpusBrain: Pre-train a Generative Retrieval Model for Knowledge-Intensive Language Tasks. CoRR abs/2208.07652 (2022) - [i73]Xinyu Ma, Ruqing Zhang, Jiafeng Guo, Yixing Fan, Xueqi Cheng:
A Contrastive Pre-training Approach to Learn Discriminative Autoencoder for Dense Retrieval. CoRR abs/2208.09846 (2022) - [i72]Xinyu Ma, Jiafeng Guo, Ruqing Zhang, Yixing Fan, Xueqi Cheng:
Scattered or Connected? An Optimized Parameter-efficient Tuning Approach for Information Retrieval. CoRR abs/2208.09847 (2022) - [i71]Yinqiong Cai, Jiafeng Guo, Yixing Fan, Qingyao Ai, Ruqing Zhang, Xueqi Cheng:
Hard Negatives or False Negatives: Correcting Pooling Bias in Training Neural Ranking Models. CoRR abs/2209.05072 (2022) - [i70]Chen Wu, Ruqing Zhang, Jiafeng Guo, Wei Chen, Yixing Fan, Maarten de Rijke, Xueqi Cheng:
Certified Robustness to Word Substitution Ranking Attack for Neural Ranking Models. CoRR abs/2209.06691 (2022) - [i69]Yequan Wang, Xiang Li, Aixin Sun
, Xuying Meng, Huaming Liao, Jiafeng Guo:
CofeNet: Context and Former-Label Enhanced Net for Complicated Quotation Extraction. CoRR abs/2209.09432 (2022) - [i68]Zixuan Li, Zhongni Hou, Saiping Guan, Xiaolong Jin, Weihua Peng, Long Bai, Yajuan Lyu, Wei Li, Jiafeng Guo, Xueqi Cheng:
HiSMatch: Historical Structure Matching based Temporal Knowledge Graph Reasoning. CoRR abs/2210.09708 (2022) - [i67]Sihao Yu, Fei Sun, Jiafeng Guo, Ruqing Zhang, Xueqi Cheng:
LegoNet: A Fast and Exact Unlearning Architecture. CoRR abs/2210.16023 (2022) - [i66]Wenxiang Sun, Yixing Fan, Jiafeng Guo, Ruqing Zhang, Xueqi Cheng:
Visual Named Entity Linking: A New Dataset and A Baseline. CoRR abs/2211.04872 (2022) - [i65]Long Bai, Saiping Guan, Zixuan Li, Jiafeng Guo, Xiaolong Jin, Xueqi Cheng:
Rich Event Modeling for Script Event Prediction. CoRR abs/2212.08287 (2022) - 2021
- [j23]Jingwei Liu
, Yi Gu
, Shumin Han, Zhibin Zhang, Jiafeng Guo
, Xueqi Cheng:
Att-FPA: Boosting Feature Perceive for Object Detection. IEEE Access 9: 47380-47390 (2021) - [j22]Jingwei Liu
, Yi Gu
, Shumin Han, Zhibin Zhang, Jiafeng Guo
, Xueqi Cheng:
Feature Rescaling and Fusion for Tiny Object Detection. IEEE Access 9: 62946-62955 (2021) - [j21]Xiaofei Zhu
, Ling Zhu, Jiafeng Guo, Shangsong Liang, Stefan Dietze:
GL-GCN: Global and Local Dependency Guided Graph Convolutional Networks for aspect-based sentiment classification. Expert Syst. Appl. 186: 115712 (2021) - [j20]Zhumin Chen, Xueqi Cheng, Shoubin Dong, Zhicheng Dou
, Jiafeng Guo, Xuanjing Huang, Yanyan Lan, Chenliang Li, Ru Li, Tie-Yan Liu, Yiqun Liu, Jun Ma, Bing Qin, Mingwen Wang, Ji-Rong Wen, Jun Xu
, Min Zhang, Peng Zhang, Qi Zhang:
Information retrieval: a view from the Chinese IR community. Frontiers Comput. Sci. 15(1): 151601 (2021) - [j19]Xiaofei Zhu, Jie Wu, Ling Zhu, Jiafeng Guo, Ran Yu
, Katarina Boland, Stefan Dietze:
Exploring user historical semantic and sentiment preference for microblog sentiment classification. Neurocomputing 464: 141-150 (2021) - [j18]Xiaofei Zhu
, Khoi Duy Do, Jiafeng Guo, Jun Xu
, Stefan Dietze:
Exploring Implicit and Explicit Geometrical Structure of Data for Deep Embedded Clustering. Neural Process. Lett. 53(1): 1-16 (2021) - [c143]Chen Wu, Ruqing Zhang, Jiafeng Guo, Yixing Fan, Yanyan Lan, Xueqi Cheng:
Learning to Truncate Ranked Lists for Information Retrieval. AAAI 2021: 4453-4461 - [c142]Changying Hao, Liang Pang, Yanyan Lan, Yan Wang, Jiafeng Guo, Xueqi Cheng:
Sketch and Customize: A Counterfactual Story Generator. AAAI 2021: 12955-12962 - [c141]Zixuan Li, Xiaolong Jin, Saiping Guan, Wei Li, Jiafeng Guo, Yuanzhuo Wang, Xueqi Cheng:
Search from History and Reason for Future: Two-stage Reasoning on Temporal Knowledge Graphs. ACL/IJCNLP (1) 2021: 4732-4743 - [c140]Jiangui Chen
, Ruqing Zhang, Jiafeng Guo, Yixing Fan, Xueqi Cheng:
FedMatch: Federated Learning Over Heterogeneous Question Answering Data. CIKM 2021: 181-190 - [c139]Jingtao Zhan, Jiaxin Mao, Yiqun Liu, Jiafeng Guo, Min Zhang, Shaoping Ma:
Jointly Optimizing Query Encoder and Product Quantization to Improve Retrieval Performance. CIKM 2021: 2487-2496 - [c138]Xin Hong
, Yanyan Lan, Liang Pang, Jiafeng Guo, Xueqi Cheng:
Transformation Driven Visual Reasoning. CVPR 2021: 6903-6912 - [c137]Long Bai
, Saiping Guan, Jiafeng Guo, Zixuan Li, Xiaolong Jin, Xueqi Cheng:
Integrating Deep Event-Level and Script-Level Information for Script Event Prediction. EMNLP (1) 2021: 9869-9878 - [c136]Yinqiong Cai, Yixing Fan, Jiafeng Guo, Ruqing Zhang, Yanyan Lan, Xueqi Cheng:
A Discriminative Semantic Ranker for Question Retrieval. ICTIR 2021: 251-260 - [c135]Zixuan Li, Xiaolong Jin, Wei Li, Saiping Guan, Jiafeng Guo, Huawei Shen, Yuanzhuo Wang, Xueqi Cheng:
Temporal Knowledge Graph Reasoning Based on Evolutional Representation Learning. SIGIR 2021: 408-417 - [c134]Xinyu Ma, Jiafeng Guo, Ruqing Zhang, Yixing Fan, Yingyan Li, Xueqi Cheng:
B-PROP: Bootstrapped Pre-training with Representative Words Prediction for Ad-hoc Retrieval. SIGIR 2021: 1318-1327 - [c133]Jingtao Zhan, Jiaxin Mao, Yiqun Liu, Jiafeng Guo, Min Zhang, Shaoping Ma:
Optimizing Dense Retrieval Model Training with Hard Negatives. SIGIR 2021: 1503-1512 - [c132]Xinyu Ma
, Jiafeng Guo, Ruqing Zhang, Yixing Fan, Xiang Ji, Xueqi Cheng:
PROP: Pre-training with Representative Words Prediction for Ad-hoc Retrieval. WSDM 2021: 283-291 - [c131]Lixin Su, Ruqing Zhang, Jiafeng Guo, Yixing Fan, Jiangui Chen, Yanyan Lan, Xueqi Cheng:
Beyond Relevance: Trustworthy Answer Selection via Consensus Verification. WSDM 2021: 562-570 - [c130]Yixing Fan, Jiafeng Guo, Xinyu Ma
, Ruqing Zhang, Yanyan Lan, Xueqi Cheng:
A Linguistic Study on Relevance Modeling in Information Retrieval. WWW 2021: 1053-1064 - [i64]Chen Wu, Ruqing Zhang, Jiafeng Guo, Yixing Fan, Yanyan Lan, Xueqi Cheng:
Learning to Truncate Ranked Lists for Information Retrieval. CoRR abs/2102.12793 (2021) - [i63]Yixing Fan, Jiafeng Guo, Xinyu Ma, Ruqing Zhang, Yanyan Lan, Xueqi Cheng:
A Linguistic Study on Relevance Modeling in Information Retrieval. CoRR abs/2103.00956 (2021) - [i62]Yinqiong Cai, Yixing Fan, Jiafeng Guo, Fei Sun, Ruqing Zhang, Xueqi Cheng:
Semantic Models for the First-stage Retrieval: A Comprehensive Review. CoRR abs/2103.04831 (2021) - [i61]Changying Hao, Liang Pang, Yanyan Lan, Yan Wang, Jiafeng Guo, Xueqi Cheng:
Sketch and Customize: A Counterfactual Story Generator. CoRR abs/2104.00929 (2021) - [i60]Jingtao Zhan, Jiaxin Mao, Yiqun Liu, Jiafeng Guo, Min Zhang, Shaoping Ma:
Optimizing Dense Retrieval Model Training with Hard Negatives. CoRR abs/2104.08051 (2021) - [i59]Xinyu Ma, Jiafeng Guo, Ruqing Zhang, Yixing Fan, Yingyan Li, Xueqi Cheng:
B-PROP: Bootstrapped Pre-training with Representative Words Prediction for Ad-hoc Retrieval. CoRR abs/2104.09791 (2021) - [i58]Zixuan Li, Xiaolong Jin, Wei Li, Saiping Guan, Jiafeng Guo, Huawei Shen, Yuanzhuo Wang, Xueqi Cheng:
Temporal Knowledge Graph Reasoning Based on Evolutional Representation Learning. CoRR abs/2104.10353 (2021) - [i57]Saiping Guan, Xiaolong Jin, Jiafeng Guo, Yuanzhuo Wang, Xueqi Cheng:
Link Prediction on N-ary Relational Data Based on Relatedness Evaluation. CoRR abs/2104.10424 (2021) - [i56]Zixuan Li, Xiaolong Jin, Saiping Guan, Wei Li, Jiafeng Guo, Yuanzhuo Wang, Xueqi Cheng:
Search from History and Reason for Future: Two-stage Reasoning on Temporal Knowledge Graphs. CoRR abs/2106.00327 (2021) - [i55]Yinqiong Cai, Yixing Fan, Jiafeng Guo, Ruqing Zhang, Yanyan Lan, Xueqi Cheng:
A Discriminative Semantic Ranker for Question Retrieval. CoRR abs/2107.08345 (2021) - [i54]Jingtao Zhan, Jiaxin Mao, Yiqun Liu, Jiafeng Guo, Min Zhang, Shaoping Ma:
Jointly Optimizing Query Encoder and Product Quantization to Improve Retrieval Performance. CoRR abs/2108.00644 (2021) - [i53]Chen Wu, Ruqing Zhang, Jiafeng Guo, Yixing Fan, Xueqi Cheng:
Are Neural Ranking Models Robust? CoRR abs/2108.05018 (2021) - [i52]Jiangui Chen, Ruqing Zhang, Jiafeng Guo, Yixing Fan, Xueqi Cheng:
FedMatch: Federated Learning Over Heterogeneous Question Answering Data. CoRR abs/2108.05069 (2021) - [i51]Lijuan Chen, Yanyan Lan, Liang Pang, Jiafeng Guo, Xueqi Cheng:
Toward the Understanding of Deep Text Matching Models for Information Retrieval. CoRR abs/2108.07081 (2021) - [i50]Yiyi Liu, Yequan Wang, Aixin Sun, Zheng Zhang, Jiafeng Guo, Xuying Meng:
A Dual-Channel Framework for Sarcasm Recognition by Detecting Sentiment Conflict. CoRR abs/2109.03587 (2021) - [i49]Jingtao Zhan, Jiaxin Mao, Yiqun Liu, Jiafeng Guo, Min Zhang, Shaoping Ma:
Learning Discrete Representations via Constrained Clustering for Effective and Efficient Dense Retrieval. CoRR abs/2110.05789 (2021) - [i48]Long Bai, Saiping Guan, Jiafeng Guo, Zixuan Li, Xiaolong Jin, Xueqi Cheng:
Integrating Deep Event-Level and Script-Level Information for Script Event Prediction. CoRR abs/2110.15706 (2021) - [i47]Yixing Fan, Xiaohui Xie, Yinqiong Cai, Jia Chen, Xinyu Ma, Xiangsheng Li, Ruqing Zhang, Jiafeng Guo, Yiqun Liu:
Pre-training Methods in Information Retrieval. CoRR abs/2111.13853 (2021) - [i46]Jingtao Zhan, Jiaxin Mao, Yiqun Liu, Jiafeng Guo, Min Zhang, Shaoping Ma:
Interpreting Dense Retrieval as Mixture of Topics. CoRR abs/2111.13957 (2021) - [i45]Saiping Guan, Xueqi Cheng, Long Bai, Fujun Zhang, Zixuan Li, Yutao Zeng, Xiaolong Jin, Jiafeng Guo:
What is Event Knowledge Graph: A Survey. CoRR abs/2112.15280 (2021) - 2020
- [j17]Xiaofei Zhu
, Jiafeng Guo, Wolfgang Nejdl
, Xiangwen Liao, Stefan Dietze:
Multi-view image clustering based on sparse coding and manifold consensus. Neurocomputing 403: 53-62 (2020) - [j16]Jiafeng Guo, Yixing Fan, Liang Pang, Liu Yang, Qingyao Ai
, Hamed Zamani, Chen Wu, W. Bruce Croft, Xueqi Cheng:
A Deep Look into neural ranking models for information retrieval. Inf. Process. Manag. 57(6): 102067 (2020) - [j15]Ruqing Zhang, Jiafeng Guo, Yixing Fan, Yanyan Lan, Xueqi Cheng:
Dual-factor Generation Model for Conversation. ACM Trans. Inf. Syst. 38(3): 31:1-31:31 (2020) - [c129]Ruqing Zhang, Jiafeng Guo, Yixing Fan, Yanyan Lan, Xueqi Cheng:
Structure Learning for Headline Generation. AAAI 2020: 9555-9562 - [c128]Saiping Guan, Xiaolong Jin, Jiafeng Guo, Yuanzhuo Wang, Xueqi Cheng:
NeuInfer: Knowledge Inference on N-ary Facts. ACL 2020: 6141-6151 - [c127]Xingchen Deng, Lei Zhang, Yixing Fan, Long Bai, Jiafeng Guo, Pengfei Wang:
Bidirectional Dependency-Guided Attention for Relation Extraction. ACML 2020: 129-144 - [c126]Changying Hao, Liang Pang, Yanyan Lan, Fei Sun, Jiafeng Guo, Xueqi Cheng:
Ranking Enhanced Dialogue Generation. CIKM 2020: 465-474 - [c125]Lixin Su, Jiafeng Guo, Ruqing Zhang, Yixing Fan, Yanyan Lan, Xueqi Cheng:
Continual Domain Adaptation for Machine Reading Comprehension. CIKM 2020: 1395-1404 - [c124]Ruqing Zhang, Jiafeng Guo, Yixing Fan, Yanyan Lan, Xueqi Cheng:
Query Understanding via Intent Description Generation. CIKM 2020: 1823-1832 - [c123]Yutao Zeng, Xiaolong Jin, Saiping Guan, Jiafeng Guo, Xueqi Cheng:
Event Coreference Resolution with their Paraphrases and Argument-aware Embeddings. COLING 2020: 3084-3094 - [c122]Jianguo Jiang, Yue Lu, Min Yu, Yantao Jia, Jiafeng Guo, Chao Liu, Weiqing Huang:
CIDetector: Semi-Supervised Method for Multi-Topic Confidential Information Detection. ECAI 2020: 1834-1841 - [c121]Wanqing Cui, Yanyan Lan, Liang Pang, Jiafeng Guo, Xueqi Cheng:
Beyond Language: Learning Commonsense from Images for Reasoning. EMNLP (Findings) 2020: 4379-4389 - [c120]Cheng Zhao, Zhibin Zhang, Peng Xu, Tianqi Zheng, Jiafeng Guo:
Kaleido: An Efficient Out-of-core Graph Mining System on A Single Machine. ICDE 2020: 673-684 - [c119]Jianing Li, Yanyan Lan, Jiafeng Guo, Xueqi Cheng:
On the Relation between Quality-Diversity Evaluation and Distribution-Fitting Goal in Text Generation. ICML 2020: 5905-5915 - [c118]Zizhen Wang, Yixing Fan, Jiafeng Guo, Liu Yang, Ruqing Zhang, Yanyan Lan, Xueqi Cheng, Hui Jiang, Xiaozhao Wang:
Match²: A Matching over Matching Model for Similar Question Identification. SIGIR 2020: 559-568 - [c117]Lixin Su, Jiafeng Guo, Yixing Fan, Yanyan Lan, Xueqi Cheng:
Label Distribution Augmented Maximum Likelihood Estimation for Reading Comprehension. WSDM 2020: 564-572 - [c116]Liu Yang, Minghui Qiu, Chen Qu, Cen Chen, Jiafeng Guo, Yongfeng Zhang, W. Bruce Croft, Haiqing Chen:
IART: Intent-aware Response Ranking with Transformers in Information-seeking Conversation Systems. WWW 2020: 2592-2598 - [i44]Liu Yang, Minghui Qiu, Chen Qu, Cen Chen, Jiafeng Guo, Yongfeng Zhang, W. Bruce Croft, Haiqing Chen:
IART: Intent-aware Response Ranking with Transformers in Information-seeking Conversation Systems. CoRR abs/2002.00571 (2020) - [i43]Zizhen Wang, Yixing Fan, Jiafeng Guo, Liu Yang, Ruqing Zhang, Yanyan Lan, Xueqi Cheng, Hui Jiang, Xiaozhao Wang:
Match2: A Matching over Matching Model for Similar Question Identification. CoRR abs/2006.11719 (2020) - [i42]Jianing Li, Yanyan Lan, Jiafeng Guo, Xueqi Cheng:
On the Relation between Quality-Diversity Evaluation and Distribution-Fitting Goal in Text Generation. CoRR abs/2007.01488 (2020) - [i41]Changying Hao, Liang Pang, Yanyan Lan, Fei Sun, Jiafeng Guo, Xueqi Cheng:
Ranking Enhanced Dialogue Generation. CoRR abs/2008.05640 (2020) - [i40]Lixin Su, Jiafeng Guo, Ruqing Zhang, Yixing Fan, Yanyan Lan, Xueqi Cheng:
Continual Domain Adaptation for Machine Reading Comprehension. CoRR abs/2008.10874 (2020) - [i39]Ruqing Zhang, Jiafeng Guo, Yixing Fan, Yanyan Lan, Xueqi Cheng:
Query Understanding via Intent Description Generation. CoRR abs/2008.10889 (2020) - [i38]Wanqing Cui, Yanyan Lan, Liang Pang, Jiafeng Guo, Xueqi Cheng:
Beyond Language: Learning Commonsense from Images for Reasoning. CoRR abs/2010.05001 (2020) - [i37]Xinyu Ma, Jiafeng Guo, Ruqing Zhang, Yixing Fan, Xiang Ji, Xueqi Cheng:
PROP: Pre-training with Representative Words Prediction for Ad-hoc Retrieval. CoRR abs/2010.10137 (2020) - [i36]Xin Hong
, Yanyan Lan, Liang Pang, Jiafeng Guo, Xueqi Cheng:
Transformation Driven Visual Reasoning. CoRR abs/2011.13160 (2020) - [i35]Yan Gao, Jiafeng Guo, Yanyan Lan, Huaming Liao:
Dynamic-K Recommendation with Personalized Decision Boundary. CoRR abs/2012.13569 (2020)
2010 – 2019
- 2019
- [j14]Guoxin Cui
, Jiafeng Guo, Yixing Fan, Yanyan Lan, Xueqi Cheng:
Trend-Smooth: Accelerate Asynchronous SGD by Smoothing Parameters Using Parameter Trends. IEEE Access 7: 156848-156859 (2019) - [j13]Pengfei Wang
, Yongfeng Zhang, Shuzi Niu, Jiafeng Guo:
Modeling Temporal Dynamics of Users' Purchase Behaviors for Next Basket Prediction. J. Comput. Sci. Technol. 34(6): 1230-1240 (2019) - [j12]Jun Xu
, Wei Zeng, Yanyan Lan, Jiafeng Guo
, Xueqi Cheng:
Modeling the Parameter Interactions in Ranking SVM with Low-Rank Approximation. IEEE Trans. Knowl. Data Eng. 31(6): 1181-1193 (2019) - [c115]Jianing Li, Yanyan Lan, Jiafeng Guo, Jun Xu, Xueqi Cheng:
Differentiated Distribution Recovery for Neural Text Generation. AAAI 2019: 6682-6689 - [c114]Liang Pang, Yanyan Lan, Jiafeng Guo, Jun Xu, Lixin Su, Xueqi Cheng:
HAS-QA: Hierarchical Answer Spans Model for Open-Domain Question Answering. AAAI 2019: 6875-6882 - [c113]Zhaohui Li, Yue Feng, Jun Xu, Jiafeng Guo, Yanyan Lan, Xueqi Cheng:
Teaching Machines to Extract Main Content for Machine Reading Comprehension. AAAI 2019: 9973-9974 - [c112]Lixin Su, Jiafeng Guo, Yixing Fan, Yanyan Lan, Ruqing Zhang, Xueqi Cheng:
An Adaptive Framework for Conversational Question Answering. AAAI 2019: 10041-10042 - [c111]Hainan Zhang, Yanyan Lan, Liang Pang, Jiafeng Guo, Xueqi Cheng:
ReCoSa: Detecting the Relevant Contexts with Self-Attention for Multi-turn Dialogue Generation. ACL (1) 2019: 3721-3730 - [c110]Yixing Fan, Jiafeng Guo, Yanyan Lan, Xueqi Cheng:
Understanding and Improving Neural Ranking Models from a Term Dependence View. AIRS 2019: 118-130 - [c109]Haoran Yan, Xiaolong Jin, Xiangbin Meng, Jiafeng Guo, Xueqi Cheng:
Event Detection with Multi-Order Graph Convolution and Aggregated Attention. EMNLP/IJCNLP (1) 2019: 5765-5769 - [c108]Peng Zhao, Fan Yang, Zhibin Zhang, Jiafeng Guo, Xueqi Cheng:
A High Performance Text Vector Similarity Search Method Based on Overlapping Degree. ICDM Workshops 2019: 448-454 - [c107]Xiangbin Meng, Pengfei Wang, Haoran Yan, Liutong Xu, Jiafeng Guo, Yixing Fan:
Multi-graph Convolution Network with Jump Connection for Event Detection. ICTAI 2019: 744-751 - [c106]Lixin Su, Jiafeng Guo, Yixing Fan, Yanyan Lan, Xueqi Cheng:
Controlling Risk of Web Question Answering. SIGIR 2019: 115-124 - [c105]Pengfei Wang
, Yu Fan, Shuzi Niu, Ze Yang, Yongfeng Zhang, Jiafeng Guo:
Hierarchical Matching Network for Crime Classification. SIGIR 2019: 325-334 - [c104]Ruqing Zhang, Jiafeng Guo, Yixing Fan, Yanyan Lan, Xueqi Cheng:
Outline Generation: Understanding the Inherent Content Structure of Documents. SIGIR 2019: 745-754 - [c103]Jiafeng Guo, Yixing Fan, Xiang Ji, Xueqi Cheng:
MatchZoo: A Learning, Practicing, and Developing System for Neural Text Matching. SIGIR 2019: 1297-1300 - [c102]Yixing Fan, Qingyao Ai
, Zhaochun Ren, Liangjie Hong, Dawei Yin, Jiafeng Guo:
DAPA: The WSDM 2019 Workshop on Deep Matching in Practical Applications. WSDM 2019: 844-845 - [e2]Yi Fang, Yi Zhang, James Allan, Krisztian Balog, Ben Carterette, Jiafeng Guo:
Proceedings of the 2019 ACM SIGIR International Conference on Theory of Information Retrieval, ICTIR 2019, Santa Clara, CA, USA, October 2-5, 2019. ACM 2019, ISBN 978-1-4503-6881-0 [contents] - [i34]Liang Pang, Yanyan Lan, Jiafeng Guo, Jun Xu, Lixin Su, Xueqi Cheng:
HAS-QA: Hierarchical Answer Spans Model for Open-domain Question Answering. CoRR abs/1901.03866 (2019) - [i33]Jiafeng Guo, Yixing Fan, Liang Pang, Liu Yang, Qingyao Ai, Hamed Zamani, Chen Wu, W. Bruce Croft, Xueqi Cheng:
A Deep Look into Neural Ranking Models for Information Retrieval. CoRR abs/1903.06902 (2019) - [i32]Ruqing Zhang, Jiafeng Guo, Yixing Fan, Yanyan Lan, Xueqi Cheng:
Outline Generation: Understanding the Inherent Content Structure of Documents. CoRR abs/1905.10039 (2019) - [i31]Lixin Su, Jiafeng Guo, Yixing Fan, Yanyan Lan, Xueqi Cheng:
Controlling Risk of Web Question Answering. CoRR abs/1905.10077 (2019) - [i30]Jiafeng Guo, Yixing Fan, Xiang Ji, Xueqi Cheng:
MatchZoo: A Learning, Practicing, and Developing System for Neural Text Matching. CoRR abs/1905.10289 (2019) - [i29]Hainan Zhang, Yanyan Lan, Liang Pang, Jiafeng Guo, Xueqi Cheng:
ReCoSa: Detecting the Relevant Contexts with Self-Attention for Multi-turn Dialogue Generation. CoRR abs/1907.05339 (2019) - [i28]Hainan Zhang, Yanyan Lan, Jiafeng Guo, Jun Xu, Xueqi Cheng:
Neural or Statistical: An Empirical Study on Language Models for Chinese Input Recommendation on Mobile. CoRR abs/1907.05340 (2019) - 2018
- [j11]Nick Craswell, W. Bruce Croft, Maarten de Rijke
, Jiafeng Guo, Bhaskar Mitra
:
Neural information retrieval: introduction to the special issue. Inf. Retr. J. 21(2-3): 107-110 (2018) - [c101]Yan Xiao, Jiafeng Guo, Yanyan Lan, Jun Xu, Xueqi Cheng:
Fast Approximate Nearest Neighbor Search via k-Diverse Nearest Neighbor Graph. AAAI 2018: 8175-8176 - [c100]Ruqing Zhang, Jiafeng Guo, Yixing Fan, Yanyan Lan, Jun Xu
, Xueqi Cheng:
Learning to Control the Specificity in Neural Response Generation. ACL (1) 2018: 1108-1117 - [c99]Hainan Zhang, Yanyan Lan, Jiafeng Guo, Jun Xu
, Xueqi Cheng:
Tailored Sequence to Sequence Models to Different Conversation Scenarios. ACL (1) 2018: 1479-1488 - [c98]Lijuan Chen, Yanyan Lan, Liang Pang, Jiafeng Guo, Jun Xu
, Xueqi Cheng:
RI-Match: Integrating Both Representations and Interactions for Deep Semantic Matching. AIRS 2018: 90-102 - [c97]Zhou Yang, Qingfeng Lan, Jiafeng Guo, Yixing Fan, Xiaofei Zhu, Yanyan Lan, Yue Wang, Xueqi Cheng:
A Deep Top-K Relevance Matching Model for Ad-hoc Retrieval. CCIR 2018: 16-27 - [c96]Tonglei Guo, Jiafeng Guo, Yixing Fan, Yanyan Lan, Jun Xu
, Xueqi Cheng:
A Comparison Between Term-Based and Embedding-Based Methods for Initial Retrieval. CCIR 2018: 28-40 - [c95]Yixuan He, Shuchang Tao, Jun Xu
, Jiafeng Guo, Yanyan Lan, Xueqi Cheng:
Text Matching with Monte Carlo Tree Search. CCIR 2018: 41-52 - [c94]Zhaohui Li, Jun Xu
, Yanyan Lan, Jiafeng Guo, Yue Feng, Xueqi Cheng:
Hierarchical Answer Selection Framework for Multi-passage Machine Reading Comprehension. CCIR 2018: 93-104 - [c93]Ruqing Zhang, Jiafeng Guo, Yanyan Lan, Jun Xu
, Xueqi Cheng:
Generative Paragraph Vector. CCIR 2018: 105-118 - [c92]Ruqing Zhang, Jiafeng Guo, Yixing Fan, Yanyan Lan, Jun Xu
, Huanhuan Cao, Xueqi Cheng:
Question Headline Generation for News Articles. CIKM 2018: 617-626 - [c91]Xiaofei Zhu, Khoi Duy Vo, Jiafeng Guo, Jiangwu Long:
Multiple Manifold Regularized Sparse Coding for Multi-View Image Clustering. CIKM 2018: 1723-1726 - [c90]Yan Xiao, Jiafeng Guo, Yanyan Lan, Jun Xu
, Xueqi Cheng:
Neighborhood Voting: A Novel Search Scheme for Hashing. CIKM 2018: 1731-1734 - [c89]Ruqing Zhang, Jiafeng Guo, Yanyan Lan, Jun Xu
, Xueqi Cheng:
Spherical Paragraph Model. ECIR 2018: 289-302 - [c88]Ruqing Zhang, Jiafeng Guo, Yanyan Lan, Jun Xu
, Xueqi Cheng:
Aggregating Neural Word Embeddings for Document Representation. ECIR 2018: 303-315 - [c87]Guoxin Cui, Jun Xu
, Wei Zeng, Yanyan Lan, Jiafeng Guo, Xueqi Cheng:
MQGrad: Reinforcement Learning of Gradient Quantization in Parameter Server. ICTIR 2018: 83-90 - [c86]Wei Zeng, Jun Xu
, Yanyan Lan, Jiafeng Guo, Xueqi Cheng:
Multi Page Search with Reinforcement Learning to Rank. ICTIR 2018: 175-178 - [c85]Hainan Zhang, Yanyan Lan, Jiafeng Guo, Jun Xu
, Xueqi Cheng:
Reinforcing Coherence for Sequence to Sequence Model in Dialogue Generation. IJCAI 2018: 4567-4573 - [c84]Yue Feng, Jun Xu
, Yanyan Lan, Jiafeng Guo, Wei Zeng, Xueqi Cheng:
From Greedy Selection to Exploratory Decision-Making: Diverse Ranking with Policy-Value Networks. SIGIR 2018: 125-134 - [c83]Qingyao Ai
, Keping Bi, Jiafeng Guo, W. Bruce Croft:
Learning a Deep Listwise Context Model for Ranking Refinement. SIGIR 2018: 135-144 - [c82]Liu Yang, Minghui Qiu, Chen Qu, Jiafeng Guo, Yongfeng Zhang, W. Bruce Croft, Jun Huang, Haiqing Chen:
Response Ranking with Deep Matching Networks and External Knowledge in Information-seeking Conversation Systems. SIGIR 2018: 245-254 - [c81]Yixing Fan, Jiafeng Guo, Yanyan Lan, Jun Xu
, Chengxiang Zhai, Xueqi Cheng:
Modeling Diverse Relevance Patterns in Ad-hoc Retrieval. SIGIR 2018: 375-384 - [c80]Qingyao Ai
, Keping Bi, Cheng Luo, Jiafeng Guo, W. Bruce Croft:
Unbiased Learning to Rank with Unbiased Propensity Estimation. SIGIR 2018: 385-394 - [c79]Sihao Yu, Jun Xu
, Yanyan Lan, Jiafeng Guo, Xueqi Cheng:
Reducing Variance in Gradient Bandit Algorithm using Antithetic Variates Method. SIGIR 2018: 885-888 - [e1]Shichao Zhang, Tie-Yan Liu, Xianxian Li, Jiafeng Guo, Chenliang Li:
Information Retrieval - 24th China Conference, CCIR 2018, Guilin, China, September 27-29, 2018, Proceedings. Lecture Notes in Computer Science 11168, Springer 2018, ISBN 978-3-030-01011-9 [contents] - [i27]Liu Yang, Qingyao Ai, Jiafeng Guo, W. Bruce Croft:
aNMM: Ranking Short Answer Texts with Attention-Based Neural Matching Model. CoRR abs/1801.01641 (2018) - [i26]Qingyao Ai, Keping Bi, Jiafeng Guo, W. Bruce Croft:
Learning a Deep Listwise Context Model for Ranking Refinement. CoRR abs/1804.05936 (2018) - [i25]Qingyao Ai, Keping Bi, Cheng Luo, Jiafeng Guo, W. Bruce Croft:
Unbiased Learning to Rank with Unbiased Propensity Estimation. CoRR abs/1804.05938 (2018) - [i24]Guoxin Cui, Jun Xu, Wei Zeng, Yanyan Lan, Jiafeng Guo, Xueqi Cheng:
MQGrad: Reinforcement Learning of Gradient Quantization in Parameter Server. CoRR abs/1804.08066 (2018) - [i23]Yadi Lao, Jun Xu, Yanyan Lan, Jiafeng Guo, Sheng Gao, Xueqi Cheng:
Sequence Tagging with Policy-Value Networks and Tree Search. CoRR abs/1804.10911 (2018) - [i22]Liu Yang, Minghui Qiu, Chen Qu, Jiafeng Guo, Yongfeng Zhang, W. Bruce Croft, Jun Huang, Haiqing Chen:
Response Ranking with Deep Matching Networks and External Knowledge in Information-seeking Conversation Systems. CoRR abs/1805.00188 (2018) - [i21]Yixing Fan, Jiafeng Guo, Yanyan Lan, Jun Xu, Chengxiang Zhai, Xueqi Cheng:
Modeling Diverse Relevance Patterns in Ad-hoc Retrieval. CoRR abs/1805.05737 (2018) - [i20]Yan Xiao, Jiafeng Guo, Yixing Fan, Yanyan Lan, Jun Xu, Xueqi Cheng:
Beyond Precision: A Study on Recall of Initial Retrieval with Neural Representations. CoRR abs/1806.10869 (2018) - 2017
- [j10]Jiafeng Guo
, Xiaofei Zhu, Yanyan Lan, Xueqi Cheng:
Modeling users' search sessions for high utility query recommendation. Inf. Retr. J. 20(1): 4-24 (2017) - [j9]Jianguo Wang, Joshua Zhexue Huang, Jiafeng Guo, Yanyan Lan:
Query ranking model for search engine query recommendation. Int. J. Mach. Learn. Cybern. 8(3): 1019-1038 (2017) - [j8]Nick Craswell, W. Bruce Croft, Maarten de Rijke, Jiafeng Guo, Bhaskar Mitra:
Report on the Second SIGIR Workshop on Neural Information Retrieval (Neu-IR'17). SIGIR Forum 51(3): 152-158 (2017) - [j7]Jun Xu
, Long Xia, Yanyan Lan, Jiafeng Guo, Xueqi Cheng:
Directly Optimize Diversity Evaluation Measures: A New Approach to Search Result Diversification. ACM Trans. Intell. Syst. Technol. 8(3): 41:1-41:26 (2017) - [c78]Liang Pang, Yanyan Lan, Jun Xu, Jiafeng Guo, Xueqi Cheng:
Locally Smoothed Neural Networks. ACML 2017: 177-191 - [c77]Hainan Zhang, Yanyan Lan, Jiafeng Guo, Jun Xu
, Xueqi Cheng:
Neural or Statistical: An Empirical Study on Language Models for Chinese Input Recommendation on Mobile. CCIR 2017: 3-16 - [c76]Yan Gao, Jiafeng Guo, Yanyan Lan, Huaming Liao:
Dynamic-K Recommendation with Personalized Decision Boundary. CCIR 2017: 17-29 - [c75]Yixing Fan, Jiafeng Guo, Yanyan Lan, Jun Xu
, Xueqi Cheng:
Academic Access Data Analysis for Literature Recommendation. CCIR 2017: 42-54 - [c74]Yixing Fan, Jiafeng Guo, Yanyan Lan, Jun Xu
, Liang Pang, Xueqi Cheng:
Learning Visual Features from Snapshots for Web Search. CIKM 2017: 247-256 - [c73]Liang Pang, Yanyan Lan, Jiafeng Guo, Jun Xu
, Jingfang Xu, Xueqi Cheng:
DeepRank: A New Deep Architecture for Relevance Ranking in Information Retrieval. CIKM 2017: 257-266 - [c72]Hainan Zhang, Tonglei Guo, Yanyan Lan, Jiafeng Guo, Jianing Li, Xueqi Cheng:
Gbot at the NTCIR-13 STC-2 Task. NTCIR 2017 - [c71]Long Xia, Jun Xu
, Yanyan Lan, Jiafeng Guo, Wei Zeng, Xueqi Cheng:
Adapting Markov Decision Process for Search Result Diversification. SIGIR 2017: 535-544 - [c70]Zheng Wei, Jun Xu
, Yanyan Lan, Jiafeng Guo, Xueqi Cheng:
Reinforcement Learning to Rank with Markov Decision Process. SIGIR 2017: 945-948 - [c69]Nick Craswell, W. Bruce Croft, Maarten de Rijke, Jiafeng Guo, Bhaskar Mitra:
SIGIR 2017 Workshop on Neural Information Retrieval (Neu-IR'17). SIGIR 2017: 1431-1432 - [i19]Liu Yang, Hamed Zamani, Yongfeng Zhang, Jiafeng Guo, W. Bruce Croft:
Neural Matching Models for Question Retrieval and Next Question Prediction in Conversation. CoRR abs/1707.05409 (2017) - [i18]Ruqing Zhang, Jiafeng Guo, Yanyan Lan, Jun Xu, Xueqi Cheng:
Spherical Paragraph Model. CoRR abs/1707.05635 (2017) - [i17]Yixing Fan, Liang Pang, Jianpeng Hou, Jiafeng Guo, Yanyan Lan, Xueqi Cheng:
MatchZoo: A Toolkit for Deep Text Matching. CoRR abs/1707.07270 (2017) - [i16]Liang Pang, Yanyan Lan, Jiafeng Guo, Jun Xu, Xueqi Cheng:
A Deep Investigation of Deep IR Models. CoRR abs/1707.07700 (2017) - [i15]Liang Pang, Yanyan Lan, Jiafeng Guo, Jun Xu, Jingfang Xu, Xueqi Cheng:
DeepRank: A New Deep Architecture for Relevance Ranking in Information Retrieval. CoRR abs/1710.05649 (2017) - [i14]Yixing Fan, Jiafeng Guo, Yanyan Lan, Jun Xu, Liang Pang, Xueqi Cheng:
Learning Visual Features from Snapshots for Web Search. CoRR abs/1710.06997 (2017) - [i13]Liang Pang, Yanyan Lan, Jun Xu, Jiafeng Guo, Xueqi Cheng:
Locally Smoothed Neural Networks. CoRR abs/1711.08132 (2017) - [i12]Jiafeng Guo, Yixing Fan, Qingyao Ai, W. Bruce Croft:
A Deep Relevance Matching Model for Ad-hoc Retrieval. CoRR abs/1711.08611 (2017) - 2016
- [j6]Jianguo Wang, Joshua Zhexue Huang, Dingming Wu, Jiafeng Guo, Yanyan Lan:
An incremental model on search engine query recommendation. Neurocomputing 218: 423-431 (2016) - [j5]Nick Craswell, W. Bruce Croft, Jiafeng Guo, Bhaskar Mitra, Maarten de Rijke:
Report on the SIGIR 2016 Workshop on Neural Information Retrieval (Neu-IR). SIGIR Forum 50(2): 96-103 (2016) - [c68]Liang Pang
, Yanyan Lan, Jiafeng Guo, Jun Xu, Shengxian Wan, Xueqi Cheng:
Text Matching as Image Recognition. AAAI 2016: 2793-2799 - [c67]Fei Sun, Jiafeng Guo, Yanyan Lan, Jun Xu, Xueqi Cheng:
Inside Out: Two Jointly Predictive Models for Word Representations and Phrase Representations. AAAI 2016: 2821-2827 - [c66]Shengxian Wan, Yanyan Lan, Jiafeng Guo, Jun Xu, Liang Pang, Xueqi Cheng:
A Deep Architecture for Semantic Matching with Multiple Positional Sentence Representations. AAAI 2016: 2835-2841 - [c65]Liang Pang, Yanyan Lan, Jiafeng Guo, Jun Xu, Xueqi Cheng:
SPAN: Understanding a Question with Its Support Answers. AAAI 2016: 4250-4251 - [c64]Pengfei Wang, Jiafeng Guo, Yanyan Lan, Jun Xu
, Xueqi Cheng:
Factorizing Sequential and Historical Purchase Data for Basket Recommendation. AIRS 2016: 237-248 - [c63]Jiafeng Guo, Yixing Fan, Qingyao Ai
, W. Bruce Croft:
A Deep Relevance Matching Model for Ad-hoc Retrieval. CIKM 2016: 55-64 - [c62]Liu Yang, Qingyao Ai
, Jiafeng Guo, W. Bruce Croft:
aNMM: Ranking Short Answer Texts with Attention-Based Neural Matching Model. CIKM 2016: 287-296 - [c61]Jiafeng Guo, Yixing Fan, Qingyao Ai
, W. Bruce Croft:
Semantic Matching by Non-Linear Word Transportation for Information Retrieval. CIKM 2016: 701-710 - [c60]Tianyou Guo
, Jun Xu
, Xiaohui Yan, Jianpeng Hou, Ping Li, Zhaohui Li, Jiafeng Guo, Xueqi Cheng:
Ease the Process of Machine Learning with Dataflow. CIKM 2016: 2437-2440 - [c59]Pengfei Wang, Jiafeng Guo, Yanyan Lan, Jun Xu
, Xueqi Cheng:
Multi-task Representation Learning for Demographic Prediction. ECIR 2016: 88-99 - [c58]Liu Yang, Qingyao Ai
, Damiano Spina
, Ruey-Cheng Chen, Liang Pang, W. Bruce Croft, Jiafeng Guo, Falk Scholer
:
Beyond Factoid QA: Effective Methods for Non-factoid Answer Sentence Retrieval. ECIR 2016: 115-128 - [c57]Qingyao Ai
, Liu Yang, Jiafeng Guo, W. Bruce Croft:
Analysis of the Paragraph Vector Model for Information Retrieval. ICTIR 2016: 133-142 - [c56]Fei Sun, Jiafeng Guo, Yanyan Lan, Jun Xu, Xueqi Cheng:
Sparse Word Embeddings Using ℓ1 Regularized Online Learning. IJCAI 2016: 2915-2921 - [c55]Shengxian Wan, Yanyan Lan, Jun Xu, Jiafeng Guo, Liang Pang, Xueqi Cheng:
Match-SRNN: Modeling the Recursive Matching Structure with Spatial RNN. IJCAI 2016: 2922-2928 - [c54]Long Xia, Jun Xu
, Yanyan Lan, Jiafeng Guo, Xueqi Cheng:
Modeling Document Novelty with Neural Tensor Network for Search Result Diversification. SIGIR 2016: 395-404 - [c53]Qingyao Ai
, Liu Yang, Jiafeng Guo, W. Bruce Croft:
Improving Language Estimation with the Paragraph Vector Model for Ad-hoc Retrieval. SIGIR 2016: 869-872 - [c52]Nick Craswell, W. Bruce Croft, Jiafeng Guo, Bhaskar Mitra, Maarten de Rijke
:
Neu-IR: The SIGIR 2016 Workshop on Neural Information Retrieval. SIGIR 2016: 1245-1246 - [c51]Pengfei Wang, Jiafeng Guo, Yanyan Lan, Jun Xu
, Xueqi Cheng:
Your Cart tells You: Inferring Demographic Attributes from Purchase Data. WSDM 2016: 173-182 - [i11]Liang Pang, Yanyan Lan, Jiafeng Guo, Jun Xu, Shengxian Wan, Xueqi Cheng:
Text Matching as Image Recognition. CoRR abs/1602.06359 (2016) - [i10]Fei Sun, Jiafeng Guo, Yanyan Lan, Jun Xu, Xueqi Cheng:
Semantic Regularities in Document Representations. CoRR abs/1603.07603 (2016) - [i9]Shengxian Wan, Yanyan Lan, Jun Xu, Jiafeng Guo, Liang Pang, Xueqi Cheng:
Match-SRNN: Modeling the Recursive Matching Structure with Spatial RNN. CoRR abs/1604.04378 (2016) - [i8]Liang Pang, Yanyan Lan, Jiafeng Guo, Jun Xu, Xueqi Cheng:
A Study of MatchPyramid Models on Ad-hoc Retrieval. CoRR abs/1606.04648 (2016) - 2015
- [j4]Jianguo Wang, Joshua Zhexue Huang, Jiafeng Guo, Yanyan Lan:
Recommending high-utility search engine queries via a query-recommending model. Neurocomputing 167: 195-208 (2015) - [j3]Shuzi Niu, Yanyan Lan, Jiafeng Guo, Shengxian Wan, Xueqi Cheng:
Which noise affects algorithm robustness for learning to rank. Inf. Retr. J. 18(3): 215-245 (2015) - [c50]Xiaohui Yan, Jiafeng Guo, Yanyan Lan, Jun Xu, Xueqi Cheng:
A Probabilistic Model for Bursty Topic Discovery in Microblogs. AAAI 2015: 353-359 - [c49]Fei Sun, Jiafeng Guo, Yanyan Lan, Jun Xu
, Xueqi Cheng:
Learning Word Representations by Jointly Modeling Syntagmatic and Paradigmatic Relations. ACL (1) 2015: 136-145 - [c48]Yaogong Zhang, Jun Xu
, Yanyan Lan, Jiafeng Guo, Maoqiang Xie, Yalou Huang, Xueqi Cheng:
Modeling Parameter Interactions in Ranking SVM. CIKM 2015: 1799-1802 - [c47]Shengxian Wan, Yanyan Lan, Pengfei Wang, Jiafeng Guo, Jun Xu, Xueqi Cheng:
Next Basket Recommendation with Neural Networks. RecSys Posters 2015 - [c46]Long Xia, Jun Xu
, Yanyan Lan, Jiafeng Guo, Xueqi Cheng:
Learning Maximal Marginal Relevance Model via Directly Optimizing Diversity Evaluation Measures. SIGIR 2015: 113-122 - [c45]Pengfei Wang, Jiafeng Guo, Yanyan Lan, Jun Xu
, Shengxian Wan, Xueqi Cheng:
Learning Hierarchical Representation Model for NextBasket Recommendation. SIGIR 2015: 403-412 - [c44]Shuzi Niu, Yanyan Lan, Jiafeng Guo, Xueqi Cheng, Lei Yu, Guoping Long:
Listwise Approach for Rank Aggregation in Crowdsourcing. WSDM 2015: 253-262 - [i7]Yadong Zhu, Yanyan Lan, Jiafeng Guo, Xueqi Cheng:
Structural Learning of Diverse Ranking. CoRR abs/1504.04596 (2015) - [i6]Yadong Zhu, Yanyan Lan, Jiafeng Guo, Xueqi Cheng:
Topic-focused Dynamic Information Filtering in Social Media. CoRR abs/1504.04945 (2015) - [i5]Shengxian Wan, Yanyan Lan, Jiafeng Guo, Jun Xu, Liang Pang, Xueqi Cheng:
A Deep Architecture for Semantic Matching with Multiple Positional Sentence Representations. CoRR abs/1511.08277 (2015) - 2014
- [j2]Xueqi Cheng, Xiaohui Yan, Yanyan Lan, Jiafeng Guo:
BTM: Topic Modeling over Short Texts. IEEE Trans. Knowl. Data Eng. 26(12): 2928-2941 (2014) - [c43]Zhongxiang Chen, Jiafeng Guo, Yanyan Lan, Lei Cao, Xueqi Cheng:
Name Disambiguation by Collective Classification. AIRS 2014: 406-417 - [c42]Huan Xue, Jiafeng Guo, Yanyan Lan, Lei Cao:
Personalized paper recommendation in online social scholar system. ASONAM 2014: 612-619 - [c41]Yantao Jia, Yuanzhuo Wang, Xueqi Cheng, Xiaolong Jin, Jiafeng Guo:
OpenKN: An open knowledge computational engine for network big data. ASONAM 2014: 657-664 - [c40]Pengfei Wang, Jiafeng Guo, Yanyan Lan:
Modeling Retail Transaction Data for Personalized Shopping Recommendation. CIKM 2014: 1979-1982 - [c39]Lu Bai, Jiafeng Guo, Yanyan Lan, Xueqi Cheng:
Local Linear Matrix Factorization for Document Modeling. ECIR 2014: 398-411 - [c38]Yadong Zhu, Yanyan Lan, Jiafeng Guo, Xueqi Cheng, Shuzi Niu:
Learning for search result diversification. SIGIR 2014: 293-302 - [c37]Shuzi Niu, Yanyan Lan, Jiafeng Guo, Xueqi Cheng, Xiubo Geng:
What makes data robust: a data analysis in learning to rank. SIGIR 2014: 1191-1194 - [c36]Yanyan Lan, Yadong Zhu, Jiafeng Guo, Shuzi Niu, Xueqi Cheng:
Position-Aware ListMLE: A Sequential Learning Process for Ranking. UAI 2014: 449-458 - 2013
- [j1]Xueqi Cheng, Pan Du, Jiafeng Guo, Xiaofei Zhu, Yixin Chen:
Ranking on Data Manifold with Sink Points. IEEE Trans. Knowl. Data Eng. 25(1): 177-191 (2013) - [c35]Yanyan Lan, Shuzi Niu, Jiafeng Guo, Xueqi Cheng:
Is top-k sufficient for ranking? CIKM 2013: 1261-1270 - [c34]Xiaofei Zhu, Jiafeng Guo, Xueqi Cheng, Yanyan Lan, Wolfgang Nejdl
:
Recommending High Utility Query via Session-Flow Graph. ECIR 2013: 642-655 - [c33]Yadong Zhu, Yanyan Lan, Jiafeng Guo, Pan Du, Xueqi Cheng:
A Novel Relational Learning-to-Rank Approach for Topic-Focused Multi-document Summarization. ICDM 2013: 927-936 - [c32]Xueqi Cheng, Jiafeng Guo, Shenghua Liu, Yanfeng Wang, Xiaohui Yan:
Learning Topics in Short Texts by Non-negative Matrix Factorization on Term Correlation Matrix. SDM 2013: 749-757 - [c31]Chaosheng Fan, Yanyan Lan, Jiafeng Guo, Zuoquan Lin, Xueqi Cheng:
Collaborative factorization for recommender systems. SIGIR 2013: 949-953 - [c30]Shengxian Wan, Yanyan Lan, Jiafeng Guo, Chaosheng Fan, Xueqi Cheng:
Informational friend recommendation in social media. SIGIR 2013: 1045-1048 - [c29]Shuzi Niu, Yanyan Lan, Jiafeng Guo, Xueqi Cheng:
Stochastic Rank Aggregation. UAI 2013 - [c28]Shenghua Liu, Ya-Tao Zhu, Jiafeng Guo, Yuanzhuo Wang, Xueqi Cheng:
A Blending Method for Automated Social Tagging. Web Intelligence 2013: 115-120 - [c27]Lu Bai, Jiafeng Guo, Yanyan Lan, Xueqi Cheng:
Group sparse topical coding: from code to topic. WSDM 2013: 315-324 - [c26]Xiaohui Yan, Jiafeng Guo, Yanyan Lan, Xueqi Cheng:
A biterm topic model for short texts. WWW 2013: 1445-1456 - [i4]Shuzi Niu, Yanyan Lan, Jiafeng Guo, Xueqi Cheng:
Stochastic Rank Aggregation. CoRR abs/1309.6852 (2013) - 2012
- [c25]Yadong Zhu, Yuanhai Xue, Jiafeng Guo, Yanyan Lan, Xueqi Cheng, Xiaoming Yu:
Exploring and Exploiting Proximity Statistic for Information Retrieval Model. AIRS 2012: 1-13 - [c24]Xiaofei Zhu, Jiafeng Guo, Xueqi Cheng, Yanyan Lan:
More than relevance: high utility query recommendation by mining users' search behaviors. CIKM 2012: 1814-1818 - [c23]Xiaohui Yan, Jiafeng Guo, Shenghua Liu, Xueqi Cheng, Yanfeng Wang:
Clustering short text using Ncut-weighted non-negative matrix factorization. CIKM 2012: 2259-2262 - [c22]Shuzi Niu, Yanyan Lan, Jiafeng Guo, Xueqi Cheng:
A new probabilistic model for top-k ranking problem. CIKM 2012: 2519-2522 - [c21]Yanyan Lan, Jiafeng Guo, Xueqi Cheng, Tie-Yan Liu:
Statistical Consistency of Ranking Methods in A Rank-Differentiable Probability Space. NIPS 2012: 1241-1249 - [c20]Shuzi Niu, Jiafeng Guo, Yanyan Lan, Xueqi Cheng:
Top-k learning to rank: labeling, ranking and evaluation. SIGIR 2012: 751-760 - [c19]Xueke Xu, Songbo Tan, Yue Liu, Xueqi Cheng, Zheng Lin, Jiafeng Guo:
Find me opinion sources in blogosphere: a unified framework for opinionated blog feed retrieval. WSDM 2012: 583-592 - 2011
- [c18]Lu Bai, Jiafeng Guo, Xueqi Cheng:
Query Recommendation by Modelling the Query-Flow Graph. AIRS 2011: 137-146 - [c17]Jiafeng Guo, Xueqi Cheng, Gu Xu, Xiaofei Zhu:
Intent-aware query similarity. CIKM 2011: 259-268 - [c16]Xiaohui Yan, Jiafeng Guo, Xueqi Cheng:
Context-aware query recommendation by learning high-order relation in query logs. CIKM 2011: 2073-2076 - [c15]Pan Du, Jiafeng Guo, Xueqi Cheng:
Supervised Lazy Random Walk for Topic-Focused Multi-document Summarization. ICDM 2011: 1026-1031 - [c14]Chao He, Xueqi Cheng, Jiafeng Guo, Huawei Shen:
Multi-Select Faceted Navigation Based on Minimum Description Length Principle. IJCAI 2011: 1690-1696 - [c13]Pan Du, Jiafeng Guo, Xueqi Cheng:
Decayed DivRank: capturing relevance, diversity and prestige in information networks. SIGIR 2011: 1239-1240 - [c12]Lei Cao, Jiafeng Guo, Xueqi Cheng:
Bipartite Graph Based Entity Ranking for Related Entity Finding. Web Intelligence 2011: 130-137 - [c11]Xiaofei Zhu, Jiafeng Guo, Xueqi Cheng, Pan Du, Huawei Shen:
A unified framework for recommending diverse and relevant queries. WWW 2011: 37-46 - [i3]Pan Du, Jipeng Yuan, Xianghui Lin, Jin Zhang, Jiafeng Guo, Xueqi Cheng:
Decayed DivRank for Guided Summarization. TAC 2011 - [i2]Huawei Shen, Xueqi Cheng, Jiafeng Guo:
Exploring the structural regularities in networks. CoRR abs/1110.1976 (2011) - 2010
- [c10]Jiafeng Guo, Xueqi Cheng, Gu Xu, Huawei Shen:
A structured approach to query recommendation with social annotation data. CIKM 2010: 619-628 - [c9]Pan Du, Jiafeng Guo, Jin Zhang, Xueqi Cheng:
Manifold ranking with sink points for update summarization. CIKM 2010: 1757-1760 - [c8]Junming Huang
, Xueqi Cheng, Jiafeng Guo, Huawei Shen, Kun Yang:
Social Recommendation with Interpersonal Influence. ECAI 2010: 601-606 - [c7]Lei Cao, Lu Bai, Xueqi Cheng, Jiafeng Guo, Hongbo Xu, Yue Liu, Xiaoming Yu:
ICTNET at Entity Track TREC 2010. TREC 2010 - [i1]Pan Du, Jin Zhang, Jiafeng Guo, Xueqi Cheng:
TMSP: Topic Guided Manifold Ranking with Sink Points for Guided Summarization. TAC 2010
2000 – 2009
- 2009
- [c6]Yiling Zeng, Hongbo Xu, Jiafeng Guo, Yu Wang, Shuo Bai:
A Clustering Framework Based on Adaptive Space Mapping and Rescaling. AIRS 2009: 363-374 - [c5]Jiafeng Guo, Gu Xu, Xueqi Cheng, Hang Li:
Named entity recognition in query. SIGIR 2009: 267-274 - [c4]Haijun Zhai, Xueqi Cheng, Jiafeng Guo, Hongbo Xu, Yue Liu:
A Novel Framework for Related Entities Finding: ICTNET at TREC 2009 Entity Track. TREC 2009 - [c3]Haijun Zhai, Jiafeng Guo, Qiong Wu, Xueqi Cheng, Huawei Shen, Jin Zhang:
Query Classification Based on Regularized Correlated Topic Model. Web Intelligence 2009: 552-555 - 2008
- [c2]Jiafeng Guo, Gu Xu, Hang Li, Xueqi Cheng:
A unified and discriminative model for query refinement. SIGIR 2008: 379-386 - 2006
- [c1]Jiafeng Guo, Lin Ding, Gang Zhang, Yue Liu, Xueqi Cheng:
PSM: A New Re-Ranking Algorithm for Named-Page. TREC 2006
Coauthor Index
aka: Xinyu Ma
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last updated on 2024-08-17 23:40 CEST by the dblp team
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