| 2026 | AAAI | Thinking Forward and Backward: Multi-Objective Reinforcement Learning for Retrieval-Augmented Reasoning. | Wenda Wei, Yu-An Liu, Ruqing Zhang, Jiafeng Guo, Lixin Su, Shuaiqiang Wang, Dawei Yin, Maarten de Rijke, Xueqi Cheng |
| 2026 | ACL | Lost in Decomposition: Analyzing and Mitigating the Limitations of Long Context Methods via Context Dependency. | Jiayuan Guo, Yueyang Su, Yuyao Ge, Saiping Guan, Lei Yu, Jiafeng Guo, Xueqi Cheng |
| 2026 | ACL | RouteRAG: Efficient Retrieval-Augmented Generation from Text and Graph via Reinforcement Learning. | Yucan Guo, Miao Su, Saiping Guan, Zihao Sun, Xiaolong Jin, Jiafeng Guo, Xueqi Cheng |
| 2026 | ACL | Compressing then Matching: An Efficient Pre-training Paradigm for Multimodal Embedding. | Da Li, Yuxiao Luo, Keping Bi, Jiafeng Guo, Wei Yuan, Biao Yang, Yan Wang, Fan Yang, Tingting Gao, Guorui Zhou |
| 2026 | ACL | Compete to Complete: Co-opetition Adversarial Learning for Retrieval-Augmented Generation. | Xin Liu, Yu-An Liu, Ruqing Zhang, Yixing Fan, Lixin Su, Jiafeng Guo, Xueqi Cheng |
| 2026 | ACL | Stop Hardening Everything: A Training-Free Neuron-Level Defense for Neural Ranking Models. | Yu-An Liu, Ruqing Zhang, Hongru Song, Jiafeng Guo, Yixing Fan, Xueqi Cheng |
| 2026 | ACL | Gated Differentiable Working Memory for Long-Context Language Modeling. | Lingrui Mei, Shenghua Liu, Yiwei Wang, Yuyao Ge, Baolong Bi, Jiayu Yao, Jun Wan, Ziling Yin, Jiafeng Guo, Xueqi Cheng |
| 2026 | ACL | Detoxification for LLM: From Dataset Itself. | Wei Shao, Yihang Wang, Gao yu Zhu, Ziqiang Cheng, Lei Yu, Jiafeng Guo, Xueqi Cheng |
| 2026 | ACL | Beyond Dialogue Time: Temporal Semantic Memory for Personalized LLM Agents. | Miao Su, Yucan Guo, Zhongni Hou, Long Bai, Zixuan Li, Yufei Zhang, Guojun Yin, Wei Lin, Xiaolong Jin, Jiafeng Guo, Xueqi Cheng |
| 2026 | ACL | Distilling Large Embeddings via Hyperspherical Householder Quantization. | Yihang Wang, Bin Wu, Yueyang Su, Tianfu Zhang, Yiqi Du, Lei Yu, Jiafeng Guo, Xueqi Cheng |
| 2026 | ACL | Beyond the Crowd: LLM-Augmented Community Notes for Governing Health Misinformation. | Jiaying Wu, Zihang Fu, Haonan Wang, Fanxiao Li, Jiafeng Guo, Preslav Nakov, Min-Yen Kan |
| 2026 | ACL | An Iterative Utility Judgment Framework Inspired by Philosophical Relevance via LLMs. | Hengran Zhang, Keping Bi, Jiafeng Guo, Xueqi Cheng |
| 2026 | ACL | Modeling Human-Like Cognition for Stance Detection: Integrating Intuitive Judgment and Analytical Reasoning. | Zhaodan Zhang, Jin Zhang, Jiafeng Guo, Xueqi Cheng |
| 2026 | DASFAA | Generative Store Retrieval in Taobao Search. | Yingchen Zhang, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Kaixuan Zhang, Zhihong Chen, Fuyu Lv, Xueqi Cheng |
| 2026 | EACL | Iterative Structured Pruning for Large Language Models with Multi-Domain Calibration. | Guangxin Wu, Hao Zhang, Zhibin Zhang, Jiafeng Guo, Xueqi Cheng |
| 2026 | PAKDD | Diverse and Task-Specific Data Selection for Instruction Tuning. | Juncheng Diao, Saiping Guan, Gaoyu Zhu, Jiafeng Guo, Xueqi Cheng |
| 2026 | WWW | Dj Vu of Strange Stickers! Enhancing Out-of-Distribution Robustness in Sticker Retrieval via Cross-Modal Intent Alignment. | Yu-An Liu, Ruqing Zhang, Jiafeng Guo, Changjiang Zhou, Fan Zhang, Yinhu Zhao |
| 2026 | WWW | Dynamic Prototype-Augmented Stance Detection: Learning from the Seen to Reason about the Unseen. | Zhaodan Zhang, Jin Zhang, Jiafeng Guo |
| 2026 | WWW | LongRanker: Efficient One-Pass Document Reranking with Long-Context Large Language Models. | Changjiang Zhou, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Yixing Fan, Xueqi Cheng |
| 2026 | SIGIR | Reconstructing Content with Collaborative Attention for Universal Multimodal Representation Learning. | Jiahan Chen, Da Li, Hengran Zhang, Yinqiong Cai, Lixin Su, Jiafeng Guo, Daiting Shi, Dawei Yin, Keping Bi |
| 2026 | SIGIR | Towards Knowledgeable Deep Research: Framework and Benchmark. | Wenxuan Liu, Zixuan Li, Long Bai, Chunmao Zhang, Fenghui Zhang, Zhuo Chen, Wei Li, Yuxin Zuo, Fei Wang, Bingbing Xu, Xuhui Jiang, Jin Zhang, Xiaolong Jin, Jiafeng Guo, Tat-Seng Chua, Xueqi Cheng |
| 2026 | SIGIR | Is a Busy Search Agent a Good One? Overthinking and Overretrieval at Scale. | Xin Liu, Ruqing Zhang, Yu-An Liu, Lixin Su, Jiafeng Guo, Xueqi Cheng |
| 2026 | SIGIR | AdversarialCoT: Single-Document Retrieval Poisoning for LLM Reasoning. | Hongru Song, Yu-An Liu, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Yixing Fan, Xueqi Cheng |
| 2026 | SIGIR | One-Pass Decoding for Generative Recommendation with WFST-Constrained A* Search. | Puji Wang, Yingchen Zhang, Ruqing Zhang, Jiafeng Guo, Xueqi Cheng |
| 2026 | SIGIR | Beyond Relevance: Utility-Centric Retrieval in the LLM Era. | Hengran Zhang, Minghao Tang, Keping Bi, Jiafeng Guo |
| 2026 | WSDM | How Do LLM-Generated Texts Impact Term-Based Retrieval Models? | Wei Huang, Keping Bi, Yinqiong Cai, Wei Chen, Jiafeng Guo, Xueqi Cheng |
| 2026 | WSDM | Identify-Conceptualize-Align: A Schema-Adaptive Framework for Unified Entity Recognition and Event Detection. | Weicheng Ren, Zixuan Li, Long Bai, Xiaolong Jin, Jiafeng Guo, Xueqi Cheng |
| 2025 | AAAI | Attack-in-the-Chain: Bootstrapping Large Language Models for Attacks Against Black-Box Neural Ranking Models. | Yu-An Liu, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Yixing Fan, Xueqi Cheng |
| 2025 | ACL | G2S: A General-to-Specific Learning Framework for Temporal Knowledge Graph Forecasting with Large Language Models. | Long Bai, Zixuan Li, Xiaolong Jin, Jiafeng Guo, Xueqi Cheng, Tat-Seng Chua |
| 2025 | ACL | Towards Fully Exploiting LLM Internal States to Enhance Knowledge Boundary Perception. | Shiyu Ni, Keping Bi, Jiafeng Guo, Lulu Yu, Baolong Bi, Xueqi Cheng |
| 2025 | ACL | The Silent Saboteur: Imperceptible Adversarial Attacks against Black-Box Retrieval-Augmented Generation Systems. | Hongru Song, Yu-An Liu, Ruqing Zhang, Jiafeng Guo, Jianming Lv, Maarten de Rijke, Xueqi Cheng |
| 2025 | ACL | Evaluating Implicit Bias in Large Language Models by Attacking From a Psychometric Perspective. | Yuchen Wen, Keping Bi, Wei Chen, Jiafeng Guo, Xueqi Cheng |
| 2025 | ACL | Towards Robust Universal Information Extraction: Dataset, Evaluation, and Solution. | Jizhao Zhu, Akang Shi, Zixuan Li, Long Bai, Xiaolong Jin, Jiafeng Guo, Xueqi Cheng |
| 2025 | ACL | KnowCoder-X: Boosting Multilingual Information Extraction via Code. | Yuxin Zuo, Wenxuan Jiang, Wenxuan Liu, Zixuan Li, Long Bai, Hanbin Wang, Yutao Zeng, Xiaolong Jin, Jiafeng Guo, Xueqi Cheng |
| 2025 | APSEC | CSMS: Boosting Class Code Summarization via Transformer Refinement and Method Summary Fusion. | Feiqiao Mao, Xingyang Du, Shaocheng Feng, Jiafeng Guo, Yifan Bai |
| 2025 | CIKM | Bridging Queries and Tables through Entities in Open-Domain Table Retrieval. | Da Li, Keping Bi, Jiafeng Guo, Xueqi Cheng |
| 2025 | COLING | Large Language Model-Based Event Relation Extraction with Rationales. | Zhilei Hu, Zixuan Li, Xiaolong Jin, Long Bai, Jiafeng Guo, Xueqi Cheng |
| 2025 | COLING | MDPO: Customized Direct Preference Optimization with a Metric-based Sampler for Question and Answer Generation. | Yihang Wang, Bowen Tian, Yueyang Su, Yixing Fan, Jiafeng Guo |
| 2025 | COLING | Inductive Link Prediction in N-ary Knowledge Graphs. | Jiyao Wei, Saiping Guan, Xiaolong Jin, Jiafeng Guo, Xueqi Cheng |
| 2025 | ECIR | MVAM: Multi-View Attention Method for Fine-Grained Image-Text Matching. | Wanqing Cui, Rui Cheng, Jiafeng Guo, Xueqi Cheng |
| 2025 | ECIR | On the Robustness of Generative Information Retrieval Models: An Out-of-Distribution Perspective. | Yu-An Liu, Ruqing Zhang, Jiafeng Guo, Changjiang Zhou, Maarten de Rijke, Xueqi Cheng |
| 2025 | EMNLP | Tailoring Table Retrieval from a Field-aware Hybrid Matching Perspective. | Da Li, Keping Bi, Jiafeng Guo, Xueqi Cheng |
| 2025 | EMNLP | Towards Event Extraction with Massive Types: LLM-based Collaborative Annotation and Partitioning Extraction. | Wenxuan Liu, Zixuan Li, Long Bai, Yuxin Zuo, Daozhu Xu, Xiaolong Jin, Jiafeng Guo, Xueqi Cheng |
| 2025 | EMNLP | QUITO-X: A New Perspective on Context Compression from the Information Bottleneck Theory. | Yihang Wang, Xu Huang, Bowen Tian, Yueyang Su, Lei Yu, Huaming Liao, Yixing Fan, Jiafeng Guo, Xueqi Cheng |
| 2025 | EMNLP | A Survey of Link Prediction in N-ary Knowledge Graphs. | Jiyao Wei, Saiping Guan, Da Li, Zhongni Hou, Miao Su, Yucan Guo, Xiaolong Jin, Jiafeng Guo, Xueqi Cheng |
| 2025 | EMNLP | Utility-Focused LLM Annotation for Retrieval and Retrieval-Augmented Generation. | Hengran Zhang, Minghao Tang, Keping Bi, Jiafeng Guo, Shihao Liu, Daiting Shi, Dawei Yin, Xueqi Cheng |
| 2025 | EMNLP | MPRF: Interpretable Stance Detection through Multi-Path Reasoning Framework. | Zhaodan Zhang, Jin Zhang, Hui Xu, Jiafeng Guo, Xueqi Cheng |
| 2025 | EMNLP | A Generative Framework for Personalized Sticker Retrieval. | Changjiang Zhou, Ruqing Zhang, Jiafeng Guo, Yuan Liu, Fan Zhang, Ganyuan Luo, Xueqi Cheng |
| 2025 | HPCA | NeuVSA: A Unified and Efficient Accelerator for Neural Vector Search. | Ziming Yuan, Lei Dai, Wen Li, Jie Zhang, Shengwen Liang, Ying Wang, Cheng Liu, Huawei Li, Xiaowei Li, Jiafeng Guo, Peng Wang, Renhai Chen, Gong Zhang |
| 2025 | ICLR | CLIPure: Purification in Latent Space via CLIP for Adversarially Robust Zero-Shot Classification. | Mingkun Zhang, Keping Bi, Wei Chen, Jiafeng Guo, Xueqi Cheng |
| 2025 | KDD | Generative Retrieval for Book Search. | Yubao Tang, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Shihao Liu, Shuaiqiang Wang, Dawei Yin, Xueqi Cheng |
| 2025 | NAACL | Text2Sql: Pure Fine-Tuning and Pure Knowledge Distillation. | Gao yu Zhu, Wei Shao, Xichou Zhu, Lei Yu, Jiafeng Guo, Xueqi Cheng |
| 2025 | WWW | Unbiased Learning to Rank with Query-Level Click Propensity Estimation: Beyond Pointwise Observation and Relevance. | Lulu Yu, Keping Bi, Jiafeng Guo, Shihao Liu, Dawei Yin, Xueqi Cheng |
| 2025 | SIGIR | On the Scaling of Robustness and Effectiveness in Dense Retrieval. | Yu-An Liu, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Yixing Fan, Xueqi Cheng |
| 2025 | SIGIR | Robust-IR @ SIGIR 2025: The First Workshop on Robust Information Retrieval. | Yu-An Liu, Haya Nachimovsky, Ruqing Zhang, Oren Kurland, Jiafeng Guo, Moshe Tennenholtz |
| 2025 | SIGIR | Boosting Retrieval-Augmented Generation with Generation-Augmented Retrieval: A Co-Training Approach. | Yubao Tang, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Yixing Fan, Xueqi Cheng |
| 2025 | SIGIR | An Empirical Study of Evaluating Long-form Question Answering. | Ning Xian, Yixing Fan, Ruqing Zhang, Maarten de Rijke, Jiafeng Guo |
| 2025 | WSDM | Robust Information Retrieval. | Yu-An Liu, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke |
| 2024 | AAAI | Perturbation-Invariant Adversarial Training for Neural Ranking Models: Improving the Effectiveness-Robustness Trade-Off. | Yu-An Liu, Ruqing Zhang, Mingkun Zhang, Wei Chen, Maarten de Rijke, Jiafeng Guo, Xueqi Cheng |
| 2024 | ACL | MORE: Multi-mOdal REtrieval Augmented Generative Commonsense Reasoning. | Wanqing Cui, Keping Bi, Jiafeng Guo, Xueqi Cheng |
| 2024 | ACL | KnowCoder: Coding Structured Knowledge into LLMs for Universal Information Extraction. | 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 |
| 2024 | ACL | When Do LLMs Need Retrieval Augmentation? Mitigating LLMs' Overconfidence Helps Retrieval Augmentation. | Shiyu Ni, Keping Bi, Jiafeng Guo, Xueqi Cheng |
| 2024 | ACL | Bootstrapped Pre-training with Dynamic Identifier Prediction for Generative Retrieval. | Yubao Tang, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Yixing Fan, Xueqi Cheng |
| 2024 | CIKM | Look Globally and Reason: Two-stage Path Reasoning over Sparse Knowledge Graphs. | Saiping Guan, Jiyao Wei, Xiaolong Jin, Jiafeng Guo, Xueqi Cheng |
| 2024 | CIKM | GaQR: An Efficient Generation-augmented Question Rewriter. | Oliver Young, Yixing Fan, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Xueqi Cheng |
| 2024 | COLING | Selective Temporal Knowledge Graph Reasoning. | Zhongni Hou, Xiaolong Jin, Zixuan Li, Long Bai, Jiafeng Guo, Xueqi Cheng |
| 2024 | COLING | Nested Event Extraction upon Pivot Element Recognition. | Weicheng Ren, Zixuan Li, Xiaolong Jin, Long Bai, Miao Su, Yantao Liu, Saiping Guan, Jiafeng Guo, Xueqi Cheng |
| 2024 | COLING | Few-shot Link Prediction on Hyper-relational Facts. | Jiyao Wei, Saiping Guan, Xiaolong Jin, Jiafeng Guo, Xueqi Cheng |
| 2024 | COLING | Class-Incremental Few-Shot Event Detection. | Kailin Zhao, Xiaolong Jin, Long Bai, Jiafeng Guo, Xueqi Cheng |
| 2024 | ECAI | Classifier Guidance Enhances Diffusion-Based Adversarial Purification by Preserving Predictive Information. | Mingkun Zhang, Jianing Li, Wei Chen, Jiafeng Guo, Xueqi Cheng |
| 2024 | ECIR | Reproducibility Analysis and Enhancements for Multi-aspect Dense Retriever with Aspect Learning. | Keping Bi, Xiaojie Sun, Jiafeng Guo, Xueqi Cheng |
| 2024 | ECIR | RIGHT: Retrieval-Augmented Generation for Mainstream Hashtag Recommendation. | Run-Ze Fan, Yixing Fan, Jiangui Chen, Jiafeng Guo, Ruqing Zhang, Xueqi Cheng |
| 2024 | ECIR | Recent Advances in Generative Information Retrieval. | Yubao Tang, Ruqing Zhang, Zhaochun Ren, Jiafeng Guo, Maarten de Rijke |
| 2024 | EMNLP | Controlling Risk of Retrieval-augmented Generation: A Counterfactual Prompting Framework. | Lu Chen, Ruqing Zhang, Jiafeng Guo, Yixing Fan, Xueqi Cheng |
| 2024 | EMNLP | RoCEL: Advancing Table Entity Linking through Distinctive Row and Column Contexts. | Yuanzheng Wang, Yixing Fan, Jiafeng Guo, Ruqing Zhang, Xueqi Cheng |
| 2024 | EMNLP | LINKAGE: Listwise Ranking among Varied-Quality References for Non-Factoid QA Evaluation via LLMs. | Sihui Yang, Keping Bi, Wanqing Cui, Jiafeng Guo, Xueqi Cheng |
| 2024 | EMNLP | Pretraining Data Detection for Large Language Models: A Divergence-based Calibration Method. | Weichao Zhang, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Yixing Fan, Xueqi Cheng |
| 2024 | ICONIP | Test-Time Adaptation with Angular Distance-Based Prediction. | Chenhao Li, Lin Li, Zhibin Zhang, Jiafeng Guo, Xueqi Cheng |
| 2024 | KDD | Fake News in Sheep's Clothing: Robust Fake News Detection Against LLM-Empowered Style Attacks. | Jiaying Wu, Jiafeng Guo, Bryan Hooi |
| 2024 | KSEM | An In-Context Schema Understanding Method for Knowledge Base Question Answering. | Yantao Liu, Zixuan Li, Xiaolong Jin, Yucan Guo, Long Bai, Saiping Guan, Jiafeng Guo, Xueqi Cheng |
| 2024 | WWW | Recent Advances in Generative Information Retrieval. | Yubao Tang, Ruqing Zhang, Weiwei Sun, Jiafeng Guo, Maarten de Rijke |
| 2024 | SIGIR | Robust Information Retrieval. | Yu-An Liu, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke |
| 2024 | SIGIR | Multi-granular Adversarial Attacks against Black-box Neural Ranking Models. | Yu-An Liu, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Yixing Fan, Xueqi Cheng |
| 2024 | SIGIR | Recent Advances in Generative Information Retrieval. | Yubao Tang, Ruqing Zhang, Zhaochun Ren, Jiafeng Guo, Maarten de Rijke |
| 2024 | SIGIR | Are Large Language Models Good at Utility Judgments? | Hengran Zhang, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Yixing Fan, Xueqi Cheng |
| 2024 | WSDM | A Multi-Granularity-Aware Aspect Learning Model for Multi-Aspect Dense Retrieval. | Xiaojie Sun, Keping Bi, Jiafeng Guo, Sihui Yang, Qishen Zhang, Zhongyi Liu, Guannan Zhang, Xueqi Cheng |
| 2023 | AAAI | Rich Event Modeling for Script Event Prediction. | Long Bai, Saiping Guan, Zixuan Li, Jiafeng Guo, Xiaolong Jin, Xueqi Cheng |
| 2023 | AAAI | Learning Adversarially Robust Sparse Networks via Weight Reparameterization. | Chenhao Li, Qiang Qiu, Zhibin Zhang, Jiafeng Guo, Xueqi Cheng |
| 2023 | ACL | Semantic Structure Enhanced Event Causality Identification. | Zhilei Hu, Zixuan Li, Xiaolong Jin, Long Bai, Saiping Guan, Jiafeng Guo, Xueqi Cheng |
| 2023 | CIKM | L2R: Lifelong Learning for First-stage Retrieval with Backward-Compatible Representations. | Yinqiong Cai, Keping Bi, Yixing Fan, Jiafeng Guo, Wei Chen, Xueqi Cheng |
| 2023 | CIKM | Continual Learning for Generative Retrieval over Dynamic Corpora. | Jiangui Chen, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Wei Chen, Yixing Fan, Xueqi Cheng |
| 2023 | CIKM | Inducing Causal Structure for Abstractive Text Summarization. | Lu Chen, Ruqing Zhang, Wei Huang, Wei Chen, Jiafeng Guo, Xueqi Cheng |
| 2023 | CIKM | Black-box Adversarial Attacks against Dense Retrieval Models: A Multi-view Contrastive Learning Method. | Yu-An Liu, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Wei Chen, Yixing Fan, Xueqi Cheng |
| 2023 | CIKM | Pre-training with Aspect-Content Text Mutual Prediction for Multi-Aspect Dense Retrieval. | Xiaojie Sun, Keping Bi, Jiafeng Guo, Xinyu Ma, Yixing Fan, Hongyu Shan, Qishen Zhang, Zhongyi Liu |
| 2023 | EACL | Prompt Tuning with Contradictory Intentions for Sarcasm Recognition. | Yiyi Liu, Ruqing Zhang, Yixing Fan, Jiafeng Guo, Xueqi Cheng |
| 2023 | EMNLP | Temporal Knowledge Graph Reasoning Based on N-tuple Modeling. | Zhongni Hou, Xiaolong Jin, Zixuan Li, Long Bai, Saiping Guan, Yutao Zeng, Jiafeng Guo, Xueqi Cheng |
| 2023 | EMNLP | From Relevance to Utility: Evidence Retrieval with Feedback for Fact Verification. | Hengran Zhang, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Yixing Fan, Xueqi Cheng |
| 2023 | IJCAI | Learning Discrete Representations via Constrained Clustering for Effective and Efficient Dense Retrieval (Extended Abstract). | Jingtao Zhan, Jiaxin Mao, Yiqun Liu, Jiafeng Guo, Min Zhang, Shaoping Ma |
| 2023 | KDD | Semantic-Enhanced Differentiable Search Index Inspired by Learning Strategies. | Yubao Tang, Ruqing Zhang, Jiafeng Guo, Jiangui Chen, Zuowei Zhu, Shuaiqiang Wang, Dawei Yin, Xueqi Cheng |
| 2023 | SIGIR | A Unified Generative Retriever for Knowledge-Intensive Language Tasks via Prompt Learning. | Jiangui Chen, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Yiqun Liu, Yixing Fan, Xueqi Cheng |
| 2023 | SIGIR | Topic-oriented Adversarial Attacks against Black-box Neural Ranking Models. | Yu-An Liu, Ruqing Zhang, Jiafeng Guo, Maarten de Rijke, Wei Chen, Yixing Fan, Xueqi Cheng |
| 2022 | ACL | Complex Evolutional Pattern Learning for Temporal Knowledge Graph Reasoning. | Zixuan Li, Saiping Guan, Xiaolong Jin, Weihua Peng, Yajuan Lyu, Yong Zhu, Long Bai, Wei Li, Jiafeng Guo, Xueqi Cheng |
| 2022 | CIKM | Hard Negatives or False Negatives: Correcting Pooling Bias in Training Neural Ranking Models. | Yinqiong Cai, Jiafeng Guo, Yixing Fan, Qingyao Ai, Ruqing Zhang, Xueqi Cheng |
| 2022 | CIKM | CorpusBrain: Pre-train a Generative Retrieval Model for Knowledge-Intensive Language Tasks. | Jiangui Chen, Ruqing Zhang, Jiafeng Guo, Yiqun Liu, Yixing Fan, Xueqi Cheng |
| 2022 | CIKM | Discriminative Language Model via Self-Teaching for Dense Retrieval. | Lu Chen, Ruqing Zhang, Jiafeng Guo, Yixing Fan, Xueqi Cheng |
| 2022 | CIKM | Scattered or Connected? An Optimized Parameter-efficient Tuning Approach for Information Retrieval. | Xinyu Ma, Jiafeng Guo, Ruqing Zhang, Yixing Fan, Xueqi Cheng |
| 2022 | CIKM | A Contrastive Pre-training Approach to Discriminative Autoencoder for Dense Retrieval. | Xinyu Ma, Ruqing Zhang, Jiafeng Guo, Yixing Fan, Xueqi Cheng |
| 2022 | CIKM | Certified Robustness to Word Substitution Ranking Attack for Neural Ranking Models. | Chen Wu, Ruqing Zhang, Jiafeng Guo, Wei Chen, Yixing Fan, Maarten de Rijke, Xueqi Cheng |
| 2022 | CIKM | Evaluating Interpolation and Extrapolation Performance of Neural Retrieval Models. | Jingtao Zhan, Xiaohui Xie, Jiaxin Mao, Yiqun Liu, Jiafeng Guo, Min Zhang, Shaoping Ma |
| 2022 | COLING | CofeNet: Context and Former-Label Enhanced Net for Complicated Quotation Extraction. | Yequan Wang, Xiang Li, Aixin Sun, Xuying Meng, Huaming Liao, Jiafeng Guo |
| 2022 | COLING | MetaSLRCL: A Self-Adaptive Learning Rate and Curriculum Learning Based Framework for Few-Shot Text Classification. | Kailin Zhao, Xiaolong Jin, Saiping Guan, Jiafeng Guo, Xueqi Cheng |
| 2022 | CVPR | A Re-Balancing Strategy for Class-Imbalanced Classification Based on Instance Difficulty. | Sihao Yu, Jiafeng Guo, Ruqing Zhang, Yixing Fan, Zizhen Wang, Xueqi Cheng |
| 2022 | EMNLP | HiSMatch: Historical Structure Matching based Temporal Knowledge Graph Reasoning. | Zixuan Li, Zhongni Hou, Saiping Guan, Xiaolong Jin, Weihua Peng, Long Bai, Yajuan Lyu, Wei Li, Jiafeng Guo, Xueqi Cheng |
| 2022 | EMNLP | Visual Named Entity Linking: A New Dataset and A Baseline. | Wen Sun, Yixing Fan, Jiafeng Guo, Ruqing Zhang, Xueqi Cheng |
| 2022 | EMNLP | Knowledge-Enhanced Self-Supervised Prototypical Network for Few-Shot Event Detection. | Kailin Zhao, Xiaolong Jin, Long Bai, Jiafeng Guo, Xueqi Cheng |
| 2022 | IJCAI | MGAD: Learning Descriptional Representation Distilled from Distributional Semantics for Unseen Entities. | Yuanzheng Wang, Xueqi Cheng, Yixing Fan, Xiaofei Zhu, Huasheng Liang, Qiang Yan, Jiafeng Guo |
| 2022 | IJCAI | Learning Discrete Representations via Constrained Clustering for Effective and Efficient Dense Retrieval (Extended Abstract). | Jingtao Zhan, Jiaxin Mao, Yiqun Liu, Jiafeng Guo, Min Zhang, Shaoping Ma |
| 2022 | NAACL | A Dual-Channel Framework for Sarcasm Recognition by Detecting Sentiment Conflict. | Yiyi Liu, Yequan Wang, Aixin Sun, Xuying Meng, Jing Li, Jiafeng Guo |
| 2022 | SIGIR | GERE: Generative Evidence Retrieval for Fact Verification. | Jiangui Chen, Ruqing Zhang, Jiafeng Guo, Yixing Fan, Xueqi Cheng |
| 2022 | SIGIR | Pre-train a Discriminative Text Encoder for Dense Retrieval via Contrastive Span Prediction. | Xinyu Ma, Jiafeng Guo, Ruqing Zhang, Yixing Fan, Xueqi Cheng |
| 2022 | WSDM | Learning Discrete Representations via Constrained Clustering for Effective and Efficient Dense Retrieval. | Jingtao Zhan, Jiaxin Mao, Yiqun Liu, Jiafeng Guo, Min Zhang, Shaoping Ma |
| 2021 | AAAI | Sketch and Customize: A Counterfactual Story Generator. | Changying Hao, Liang Pang, Yanyan Lan, Yan Wang, Jiafeng Guo, Xueqi Cheng |
| 2021 | AAAI | Learning to Truncate Ranked Lists for Information Retrieval. | Chen Wu, Ruqing Zhang, Jiafeng Guo, Yixing Fan, Yanyan Lan, Xueqi Cheng |
| 2021 | ACL | Search from History and Reason for Future: Two-stage Reasoning on Temporal Knowledge Graphs. | Zixuan Li, Xiaolong Jin, Saiping Guan, Wei Li, Jiafeng Guo, Yuanzhuo Wang, Xueqi Cheng |
| 2021 | CIKM | FedMatch: Federated Learning Over Heterogeneous Question Answering Data. | Jiangui Chen, Ruqing Zhang, Jiafeng Guo, Yixing Fan, Xueqi Cheng |
| 2021 | CIKM | Jointly Optimizing Query Encoder and Product Quantization to Improve Retrieval Performance. | Jingtao Zhan, Jiaxin Mao, Yiqun Liu, Jiafeng Guo, Min Zhang, Shaoping Ma |
| 2021 | CVPR | Transformation Driven Visual Reasoning. | Xin Hong, Yanyan Lan, Liang Pang, Jiafeng Guo, Xueqi Cheng |
| 2021 | EMNLP | Integrating Deep Event-Level and Script-Level Information for Script Event Prediction. | Long Bai, Saiping Guan, Jiafeng Guo, Zixuan Li, Xiaolong Jin, Xueqi Cheng |
| 2021 | ICTIR | A Discriminative Semantic Ranker for Question Retrieval. | Yinqiong Cai, Yixing Fan, Jiafeng Guo, Ruqing Zhang, Yanyan Lan, Xueqi Cheng |
| 2021 | WWW | A Linguistic Study on Relevance Modeling in Information Retrieval. | Yixing Fan, Jiafeng Guo, Xinyu Ma, Ruqing Zhang, Yanyan Lan, Xueqi Cheng |
| 2021 | SIGIR | Temporal Knowledge Graph Reasoning Based on Evolutional Representation Learning. | Zixuan Li, Xiaolong Jin, Wei Li, Saiping Guan, Jiafeng Guo, Huawei Shen, Yuanzhuo Wang, Xueqi Cheng |
| 2021 | SIGIR | B-PROP: Bootstrapped Pre-training with Representative Words Prediction for Ad-hoc Retrieval. | Xinyu Ma, Jiafeng Guo, Ruqing Zhang, Yixing Fan, Yingyan Li, Xueqi Cheng |
| 2021 | SIGIR | Optimizing Dense Retrieval Model Training with Hard Negatives. | Jingtao Zhan, Jiaxin Mao, Yiqun Liu, Jiafeng Guo, Min Zhang, Shaoping Ma |
| 2021 | WSDM | PROP: Pre-training with Representative Words Prediction for Ad-hoc Retrieval. | Xinyu Ma, Jiafeng Guo, Ruqing Zhang, Yixing Fan, Xiang Ji, Xueqi Cheng |
| 2021 | WSDM | Beyond Relevance: Trustworthy Answer Selection via Consensus Verification. | Lixin Su, Ruqing Zhang, Jiafeng Guo, Yixing Fan, Jiangui Chen, Yanyan Lan, Xueqi Cheng |
| 2020 | AAAI | Structure Learning for Headline Generation. | Ruqing Zhang, Jiafeng Guo, Yixing Fan, Yanyan Lan, Xueqi Cheng |
| 2020 | ACL | NeuInfer: Knowledge Inference on N-ary Facts. | Saiping Guan, Xiaolong Jin, Jiafeng Guo, Yuanzhuo Wang, Xueqi Cheng |
| 2020 | ACML | Bidirectional Dependency-Guided Attention for Relation Extraction. | Xingchen Deng, Lei Zhang, Yixing Fan, Long Bai, Jiafeng Guo, Pengfei Wang |
| 2020 | CIKM | Ranking Enhanced Dialogue Generation. | Changying Hao, Liang Pang, Yanyan Lan, Fei Sun, Jiafeng Guo, Xueqi Cheng |
| 2020 | CIKM | Continual Domain Adaptation for Machine Reading Comprehension. | Lixin Su, Jiafeng Guo, Ruqing Zhang, Yixing Fan, Yanyan Lan, Xueqi Cheng |
| 2020 | CIKM | Query Understanding via Intent Description Generation. | Ruqing Zhang, Jiafeng Guo, Yixing Fan, Yanyan Lan, Xueqi Cheng |
| 2020 | COLING | Event Coreference Resolution with their Paraphrases and Argument-aware Embeddings. | Yutao Zeng, Xiaolong Jin, Saiping Guan, Jiafeng Guo, Xueqi Cheng |
| 2020 | ECAI | CIDetector: Semi-Supervised Method for Multi-Topic Confidential Information Detection. | Jianguo Jiang, Yue Lu, Min Yu, Yantao Jia, Jiafeng Guo, Chao Liu, Weiqing Huang |
| 2020 | EMNLP | Beyond Language: Learning Commonsense from Images for Reasoning. | Wanqing Cui, Yanyan Lan, Liang Pang, Jiafeng Guo, Xueqi Cheng |
| 2020 | ICDE | Kaleido: An Efficient Out-of-core Graph Mining System on A Single Machine. | Cheng Zhao, Zhibin Zhang, Peng Xu, Tianqi Zheng, Jiafeng Guo |
| 2020 | ICML | On the Relation between Quality-Diversity Evaluation and Distribution-Fitting Goal in Text Generation. | Jianing Li, Yanyan Lan, Jiafeng Guo, Xueqi Cheng |
| 2020 | WWW | IART: Intent-aware Response Ranking with Transformers in Information-seeking Conversation Systems. | Liu Yang, Minghui Qiu, Chen Qu, Cen Chen, Jiafeng Guo, Yongfeng Zhang, W. Bruce Croft, Haiqing Chen |
| 2020 | SIGIR | Match²: A Matching over Matching Model for Similar Question Identification. | Zizhen Wang, Yixing Fan, Jiafeng Guo, Liu Yang, Ruqing Zhang, Yanyan Lan, Xueqi Cheng, Hui Jiang, Xiaozhao Wang |
| 2020 | WSDM | Label Distribution Augmented Maximum Likelihood Estimation for Reading Comprehension. | Lixin Su, Jiafeng Guo, Yixing Fan, Yanyan Lan, Xueqi Cheng |
| 2019 | AAAI | Teaching Machines to Extract Main Content for Machine Reading Comprehension. | Zhaohui Li, Yue Feng, Jun Xu, Jiafeng Guo, Yanyan Lan, Xueqi Cheng |
| 2019 | AAAI | Differentiated Distribution Recovery for Neural Text Generation. | Jianing Li, Yanyan Lan, Jiafeng Guo, Jun Xu, Xueqi Cheng |
| 2019 | AAAI | HAS-QA: Hierarchical Answer Spans Model for Open-Domain Question Answering. | Liang Pang, Yanyan Lan, Jiafeng Guo, Jun Xu, Lixin Su, Xueqi Cheng |
| 2019 | AAAI | An Adaptive Framework for Conversational Question Answering. | Lixin Su, Jiafeng Guo, Yixing Fan, Yanyan Lan, Ruqing Zhang, Xueqi Cheng |
| 2019 | ACL | ReCoSa: Detecting the Relevant Contexts with Self-Attention for Multi-turn Dialogue Generation. | Hainan Zhang, Yanyan Lan, Liang Pang, Jiafeng Guo, Xueqi Cheng |
| 2019 | EMNLP | Event Detection with Multi-Order Graph Convolution and Aggregated Attention. | Haoran Yan, Xiaolong Jin, Xiangbin Meng, Jiafeng Guo, Xueqi Cheng |
| 2019 | ICDM | A High Performance Text Vector Similarity Search Method Based on Overlapping Degree. | Peng Zhao, Fan Yang, Zhibin Zhang, Jiafeng Guo, Xueqi Cheng |
| 2019 | ICTAI | Multi-graph Convolution Network with Jump Connection for Event Detection. | Xiangbin Meng, Pengfei Wang, Haoran Yan, Liutong Xu, Jiafeng Guo, Yixing Fan |
| 2019 | SIGIR | MatchZoo: A Learning, Practicing, and Developing System for Neural Text Matching. | Jiafeng Guo, Yixing Fan, Xiang Ji, Xueqi Cheng |
| 2019 | SIGIR | Controlling Risk of Web Question Answering. | Lixin Su, Jiafeng Guo, Yixing Fan, Yanyan Lan, Xueqi Cheng |
| 2019 | SIGIR | Hierarchical Matching Network for Crime Classification. | Pengfei Wang, Yu Fan, Shuzi Niu, Ze Yang, Yongfeng Zhang, Jiafeng Guo |
| 2019 | SIGIR | Outline Generation: Understanding the Inherent Content Structure of Documents. | Ruqing Zhang, Jiafeng Guo, Yixing Fan, Yanyan Lan, Xueqi Cheng |
| 2019 | WSDM | DAPA: The WSDM 2019 Workshop on Deep Matching in Practical Applications. | Yixing Fan, Qingyao Ai, Zhaochun Ren, Liangjie Hong, Dawei Yin, Jiafeng Guo |
| 2018 | AAAI | Fast Approximate Nearest Neighbor Search via k-Diverse Nearest Neighbor Graph. | Yan Xiao, Jiafeng Guo, Yanyan Lan, Jun Xu, Xueqi Cheng |
| 2018 | ACL | Tailored Sequence to Sequence Models to Different Conversation Scenarios. | Hainan Zhang, Yanyan Lan, Jiafeng Guo, Jun Xu, Xueqi Cheng |
| 2018 | ACL | Learning to Control the Specificity in Neural Response Generation. | Ruqing Zhang, Jiafeng Guo, Yixing Fan, Yanyan Lan, Jun Xu, Xueqi Cheng |
| 2018 | CIKM | Neighborhood Voting: A Novel Search Scheme for Hashing. | Yan Xiao, Jiafeng Guo, Yanyan Lan, Jun Xu, Xueqi Cheng |
| 2018 | CIKM | Question Headline Generation for News Articles. | Ruqing Zhang, Jiafeng Guo, Yixing Fan, Yanyan Lan, Jun Xu, Huanhuan Cao, Xueqi Cheng |
| 2018 | CIKM | Multiple Manifold Regularized Sparse Coding for Multi-View Image Clustering. | Xiaofei Zhu, Khoi Duy Vo, Jiafeng Guo, Jiangwu Long |
| 2018 | ECIR | Spherical Paragraph Model. | Ruqing Zhang, Jiafeng Guo, Yanyan Lan, Jun Xu, Xueqi Cheng |
| 2018 | ECIR | Aggregating Neural Word Embeddings for Document Representation. | Ruqing Zhang, Jiafeng Guo, Yanyan Lan, Jun Xu, Xueqi Cheng |
| 2018 | IJCAI | Reinforcing Coherence for Sequence to Sequence Model in Dialogue Generation. | Hainan Zhang, Yanyan Lan, Jiafeng Guo, Jun Xu, Xueqi Cheng |
| 2018 | ICTIR | MQGrad: Reinforcement Learning of Gradient Quantization in Parameter Server. | Guoxin Cui, Jun Xu, Wei Zeng, Yanyan Lan, Jiafeng Guo, Xueqi Cheng |
| 2018 | ICTIR | Multi Page Search with Reinforcement Learning to Rank. | Wei Zeng, Jun Xu, Yanyan Lan, Jiafeng Guo, Xueqi Cheng |
| 2018 | SIGIR | Learning a Deep Listwise Context Model for Ranking Refinement. | Qingyao Ai, Keping Bi, Jiafeng Guo, W. Bruce Croft |
| 2018 | SIGIR | Unbiased Learning to Rank with Unbiased Propensity Estimation. | Qingyao Ai, Keping Bi, Cheng Luo, Jiafeng Guo, W. Bruce Croft |
| 2018 | SIGIR | Modeling Diverse Relevance Patterns in Ad-hoc Retrieval. | Yixing Fan, Jiafeng Guo, Yanyan Lan, Jun Xu, Chengxiang Zhai, Xueqi Cheng |
| 2018 | SIGIR | From Greedy Selection to Exploratory Decision-Making: Diverse Ranking with Policy-Value Networks. | Yue Feng, Jun Xu, Yanyan Lan, Jiafeng Guo, Wei Zeng, Xueqi Cheng |
| 2018 | SIGIR | Response Ranking with Deep Matching Networks and External Knowledge in Information-seeking Conversation Systems. | Liu Yang, Minghui Qiu, Chen Qu, Jiafeng Guo, Yongfeng Zhang, W. Bruce Croft, Jun Huang, Haiqing Chen |
| 2018 | SIGIR | Reducing Variance in Gradient Bandit Algorithm using Antithetic Variates Method. | Sihao Yu, Jun Xu, Yanyan Lan, Jiafeng Guo, Xueqi Cheng |
| 2017 | ACML | Locally Smoothed Neural Networks. | Liang Pang, Yanyan Lan, Jun Xu, Jiafeng Guo, Xueqi Cheng |
| 2017 | CIKM | Learning Visual Features from Snapshots for Web Search. | Yixing Fan, Jiafeng Guo, Yanyan Lan, Jun Xu, Liang Pang, Xueqi Cheng |
| 2017 | CIKM | DeepRank: A New Deep Architecture for Relevance Ranking in Information Retrieval. | Liang Pang, Yanyan Lan, Jiafeng Guo, Jun Xu, Jingfang Xu, Xueqi Cheng |
| 2017 | SIGIR | SIGIR 2017 Workshop on Neural Information Retrieval (Neu-IR'17). | Nick Craswell, W. Bruce Croft, Maarten de Rijke, Jiafeng Guo, Bhaskar Mitra |
| 2017 | SIGIR | Reinforcement Learning to Rank with Markov Decision Process. | Zheng Wei, Jun Xu, Yanyan Lan, Jiafeng Guo, Xueqi Cheng |
| 2017 | SIGIR | Adapting Markov Decision Process for Search Result Diversification. | Long Xia, Jun Xu, Yanyan Lan, Jiafeng Guo, Wei Zeng, Xueqi Cheng |
| 2016 | AAAI | SPAN: Understanding a Question with Its Support Answers. | Liang Pang, Yanyan Lan, Jiafeng Guo, Jun Xu, Xueqi Cheng |
| 2016 | AAAI | Text Matching as Image Recognition. | Liang Pang, Yanyan Lan, Jiafeng Guo, Jun Xu, Shengxian Wan, Xueqi Cheng |
| 2016 | AAAI | Inside Out: Two Jointly Predictive Models for Word Representations and Phrase Representations. | Fei Sun, Jiafeng Guo, Yanyan Lan, Jun Xu, Xueqi Cheng |
| 2016 | AAAI | A Deep Architecture for Semantic Matching with Multiple Positional Sentence Representations. | Shengxian Wan, Yanyan Lan, Jiafeng Guo, Jun Xu, Liang Pang, Xueqi Cheng |
| 2016 | CIKM | A Deep Relevance Matching Model for Ad-hoc Retrieval. | Jiafeng Guo, Yixing Fan, Qingyao Ai, W. Bruce Croft |
| 2016 | CIKM | Semantic Matching by Non-Linear Word Transportation for Information Retrieval. | Jiafeng Guo, Yixing Fan, Qingyao Ai, W. Bruce Croft |
| 2016 | CIKM | Ease the Process of Machine Learning with Dataflow. | Tianyou Guo, Jun Xu, Xiaohui Yan, Jianpeng Hou, Ping Li, Zhaohui Li, Jiafeng Guo, Xueqi Cheng |
| 2016 | CIKM | aNMM: Ranking Short Answer Texts with Attention-Based Neural Matching Model. | Liu Yang, Qingyao Ai, Jiafeng Guo, W. Bruce Croft |
| 2016 | ECIR | Multi-task Representation Learning for Demographic Prediction. | Pengfei Wang, Jiafeng Guo, Yanyan Lan, Jun Xu, Xueqi Cheng |
| 2016 | ECIR | Beyond Factoid QA: Effective Methods for Non-factoid Answer Sentence Retrieval. | Liu Yang, Qingyao Ai, Damiano Spina, Ruey-Cheng Chen, Liang Pang, W. Bruce Croft, Jiafeng Guo, Falk Scholer |
| 2016 | IJCAI | Sparse Word Embeddings Using ℓ | Fei Sun, Jiafeng Guo, Yanyan Lan, Jun Xu, Xueqi Cheng |
| 2016 | IJCAI | Match-SRNN: Modeling the Recursive Matching Structure with Spatial RNN. | Shengxian Wan, Yanyan Lan, Jun Xu, Jiafeng Guo, Liang Pang, Xueqi Cheng |
| 2016 | ICTIR | Analysis of the Paragraph Vector Model for Information Retrieval. | Qingyao Ai, Liu Yang, Jiafeng Guo, W. Bruce Croft |
| 2016 | SIGIR | Improving Language Estimation with the Paragraph Vector Model for Ad-hoc Retrieval. | Qingyao Ai, Liu Yang, Jiafeng Guo, W. Bruce Croft |
| 2016 | SIGIR | Neu-IR: The SIGIR 2016 Workshop on Neural Information Retrieval. | Nick Craswell, W. Bruce Croft, Jiafeng Guo, Bhaskar Mitra, Maarten de Rijke |
| 2016 | SIGIR | Modeling Document Novelty with Neural Tensor Network for Search Result Diversification. | Long Xia, Jun Xu, Yanyan Lan, Jiafeng Guo, Xueqi Cheng |
| 2016 | WSDM | Your Cart tells You: Inferring Demographic Attributes from Purchase Data. | Pengfei Wang, Jiafeng Guo, Yanyan Lan, Jun Xu, Xueqi Cheng |
| 2015 | AAAI | A Probabilistic Model for Bursty Topic Discovery in Microblogs. | Xiaohui Yan, Jiafeng Guo, Yanyan Lan, Jun Xu, Xueqi Cheng |
| 2015 | ACL | Learning Word Representations by Jointly Modeling Syntagmatic and Paradigmatic Relations. | Fei Sun, Jiafeng Guo, Yanyan Lan, Jun Xu, Xueqi Cheng |
| 2015 | CIKM | Modeling Parameter Interactions in Ranking SVM. | Yaogong Zhang, Jun Xu, Yanyan Lan, Jiafeng Guo, Maoqiang Xie, Yalou Huang, Xueqi Cheng |
| 2015 | RecSys | Next Basket Recommendation with Neural Networks. | Shengxian Wan, Yanyan Lan, Pengfei Wang, Jiafeng Guo, Jun Xu, Xueqi Cheng |
| 2015 | SIGIR | Learning Hierarchical Representation Model for NextBasket Recommendation. | Pengfei Wang, Jiafeng Guo, Yanyan Lan, Jun Xu, Shengxian Wan, Xueqi Cheng |
| 2015 | SIGIR | Learning Maximal Marginal Relevance Model via Directly Optimizing Diversity Evaluation Measures. | Long Xia, Jun Xu, Yanyan Lan, Jiafeng Guo, Xueqi Cheng |
| 2015 | WSDM | Listwise Approach for Rank Aggregation in Crowdsourcing. | Shuzi Niu, Yanyan Lan, Jiafeng Guo, Xueqi Cheng, Lei Yu, Guoping Long |
| 2014 | CIKM | Modeling Retail Transaction Data for Personalized Shopping Recommendation. | Pengfei Wang, Jiafeng Guo, Yanyan Lan |
| 2014 | ECIR | Local Linear Matrix Factorization for Document Modeling. | Lu Bai, Jiafeng Guo, Yanyan Lan, Xueqi Cheng |
| 2014 | SIGIR | What makes data robust: a data analysis in learning to rank. | Shuzi Niu, Yanyan Lan, Jiafeng Guo, Xueqi Cheng, Xiubo Geng |
| 2014 | SIGIR | Learning for search result diversification. | Yadong Zhu, Yanyan Lan, Jiafeng Guo, Xueqi Cheng, Shuzi Niu |
| 2014 | UAI | Position-Aware ListMLE: A Sequential Learning Process for Ranking. | Yanyan Lan, Yadong Zhu, Jiafeng Guo, Shuzi Niu, Xueqi Cheng |
| 2013 | CIKM | Is top-k sufficient for ranking? | Yanyan Lan, Shuzi Niu, Jiafeng Guo, Xueqi Cheng |
| 2013 | ECIR | Recommending High Utility Query via Session-Flow Graph. | Xiaofei Zhu, Jiafeng Guo, Xueqi Cheng, Yanyan Lan, Wolfgang Nejdl |
| 2013 | ICDM | A Novel Relational Learning-to-Rank Approach for Topic-Focused Multi-document Summarization. | Yadong Zhu, Yanyan Lan, Jiafeng Guo, Pan Du, Xueqi Cheng |
| 2013 | WWW | A biterm topic model for short texts. | Xiaohui Yan, Jiafeng Guo, Yanyan Lan, Xueqi Cheng |
| 2013 | SIGIR | Collaborative factorization for recommender systems. | Chaosheng Fan, Yanyan Lan, Jiafeng Guo, Zuoquan Lin, Xueqi Cheng |
| 2013 | SIGIR | Informational friend recommendation in social media. | Shengxian Wan, Yanyan Lan, Jiafeng Guo, Chaosheng Fan, Xueqi Cheng |
| 2013 | UAI | Stochastic Rank Aggregation. | Shuzi Niu, Yanyan Lan, Jiafeng Guo, Xueqi Cheng |
| 2013 | WSDM | Group sparse topical coding: from code to topic. | Lu Bai, Jiafeng Guo, Yanyan Lan, Xueqi Cheng |
| 2013 | SDM | Learning Topics in Short Texts by Non-negative Matrix Factorization on Term Correlation Matrix. | Xueqi Cheng, Jiafeng Guo, Shenghua Liu, Yanfeng Wang, Xiaohui Yan |
| 2012 | CIKM | A new probabilistic model for top-k ranking problem. | Shuzi Niu, Yanyan Lan, Jiafeng Guo, Xueqi Cheng |
| 2012 | CIKM | Clustering short text using Ncut-weighted non-negative matrix factorization. | Xiaohui Yan, Jiafeng Guo, Shenghua Liu, Xueqi Cheng, Yanfeng Wang |
| 2012 | CIKM | More than relevance: high utility query recommendation by mining users' search behaviors. | Xiaofei Zhu, Jiafeng Guo, Xueqi Cheng, Yanyan Lan |
| 2012 | SIGIR | Top-k learning to rank: labeling, ranking and evaluation. | Shuzi Niu, Jiafeng Guo, Yanyan Lan, Xueqi Cheng |
| 2012 | WSDM | Find me opinion sources in blogosphere: a unified framework for opinionated blog feed retrieval. | Xueke Xu, Songbo Tan, Yue Liu, Xueqi Cheng, Zheng Lin, Jiafeng Guo |
| 2011 | CIKM | Intent-aware query similarity. | Jiafeng Guo, Xueqi Cheng, Gu Xu, Xiaofei Zhu |
| 2011 | CIKM | Context-aware query recommendation by learning high-order relation in query logs. | Xiaohui Yan, Jiafeng Guo, Xueqi Cheng |
| 2011 | ICDM | Supervised Lazy Random Walk for Topic-Focused Multi-document Summarization. | Pan Du, Jiafeng Guo, Xueqi Cheng |
| 2011 | IJCAI | Multi-Select Faceted Navigation Based on Minimum Description Length Principle. | Chao He, Xueqi Cheng, Jiafeng Guo, Huawei Shen |
| 2011 | WWW | A unified framework for recommending diverse and relevant queries. | Xiaofei Zhu, Jiafeng Guo, Xueqi Cheng, Pan Du, Huawei Shen |
| 2011 | SIGIR | Decayed DivRank: capturing relevance, diversity and prestige in information networks. | Pan Du, Jiafeng Guo, Xueqi Cheng |
| 2010 | CIKM | Manifold ranking with sink points for update summarization. | Pan Du, Jiafeng Guo, Jin Zhang, Xueqi Cheng |
| 2010 | CIKM | A structured approach to query recommendation with social annotation data. | Jiafeng Guo, Xueqi Cheng, Gu Xu, Huawei Shen |
| 2010 | ECAI | Social Recommendation with Interpersonal Influence. | Junming Huang, Xueqi Cheng, Jiafeng Guo, Huawei Shen, Kun Yang |
| 2009 | SIGIR | Named entity recognition in query. | Jiafeng Guo, Gu Xu, Xueqi Cheng, Hang Li |
| 2008 | SIGIR | A unified and discriminative model for query refinement. | Jiafeng Guo, Gu Xu, Hang Li, Xueqi Cheng |