Structural-interaction link prediction in microblogs. - Yantao Jia; Yuanzhuo Wang; Jingyuan Li; Kai Feng; Xueqi Cheng; Jianchen Li (WWW (Companion Volume), 2013)

LSDH: A Hashing Approach for Large-Scale Link Prediction in Microblogs. - Dawei Liu; Yuanzhuo Wang; Yantao Jia; Jingyuan Li; Zhihua Yu (AAAI, 2014)

Content-Structural Relation Inference in Knowledge Base. - Zeya Zhao; Yantao Jia; Yuanzhuo Wang (AAAI, 2014)

Predicting User Likes in Online Media Based on Conceptualized Social Network Profiles. - Qiang Liu; Yuanzhuo Wang; Jingyuan Li; Yantao Jia; Yan Ren (APWeb Workshophs, 2014)

OpenKN: An open knowledge computational engine for network big data. - Yantao Jia; Yuanzhuo Wang; Xueqi Cheng; Xiaolong Jin 001; Jiafeng Guo (ASONAM, 2014)

Populating knowledge base with collective entity mentions: A graph-based approach. - Hailun Lin; Yantao Jia; Yuanzhuo Wang; Xiaolong Jin 001; Xiaojing Li; Xueqi Cheng (ASONAM, 2014)

TSBM: The Temporal-Spatial Bayesian Model for Location Prediction in Social Networks. - Yantao Jia; Yuanzhuo Wang; Xiaolong Jin 001; Xueqi Cheng (WI-IAT (1), 2014)

An Ensemble Matchers Based Rank Aggregation Method for Taxonomy Matching. - Hailun Lin; Yuanzhuo Wang; Yantao Jia; Jinhua Xiong; Peng Zhang; Xueqi Cheng (APWeb, 2015)

OpenKN at TAC KBP 2015. - Xinlei Chen; Yantao Jia; Yuanzhuo Wang; Yuxiao Chang; Manling Li; Xueqi Cheng (TAC, 2015)

Learning to Predict Links by Integrating Structure and Interaction Information in Microblogs. - Yantao Jia; Yuanzhuo Wang; Xueqi Cheng (J. Comput. Sci. Technol., 2015)

Locally Adaptive Translation for Knowledge Graph Embedding. - Yantao Jia; Yuanzhuo Wang; Hailun Lin; Xiaolong Jin 001; Xueqi Cheng (AAAI, 2016)

Predicting Links and Their Building Time: A Path-Based Approach. - Manling Li; Yantao Jia; Yuanzhuo Wang; Zeya Zhao; Xueqi Cheng (AAAI, 2016)

OpenKN at TAC KBP 2016. - Manling Li; Xinlei Chen; Yantao Jia; Yuanzhuo Wang; Xiaolong Jin 001; Zixuan Li 001; Juan Yao; Fan Yang; Yunqi Qiu; Jialin Su; Xueqi Cheng (TAC, 2016)

Hierarchy-Based Link Prediction in Knowledge Graphs. - Manling Li; Yantao Jia; Yuanzhuo Wang; Jingyuan Li; Xueqi Cheng (WWW (Companion Volume), 2016)

Location Prediction: A Temporal-Spatial Bayesian Model. - Yantao Jia; Yuanzhuo Wang; Xiaolong Jin 001; Xueqi Cheng (ACM Trans. Intell. Syst. Technol., 2016)

Learning Knowledge Representation Across Knowledge Graphs. - Pengshan Cai; Wei Li 176; Yansong Feng 002; Yuanzhuo Wang; Yantao Jia (AAAI Workshops, 2017)

Self-Learning and Embedding Based Entity Alignment. - Saiping Guan; Xiaolong Jin 001; Yantao Jia; Yuanzhuo Wang; Huawei Shen; Xueqi Cheng (ICBK, 2017)

The Open Knowledge System for TAC KBP 2017. - Zixuan Li 001; Yunqi Qiu; Fan Yang; Xiaolong Jin 001; Yuanzhuo Wang; Yantao Jia; Haoran Yan; Kailin Zhao; Jialin Su (TAC, 2017)

Efficient parallel translating embedding for knowledge graphs. - Denghui Zhang; Manling Li; Yantao Jia; Yuanzhuo Wang; Xueqi Cheng (WI, 2017)

Coarse to Fine: Diffusing Categories in Wikipedia. - Pengshan Cai; Yansong Feng 002; Yantao Jia; Yuanzhuo Wang; Xiaolong Jin 001; Xueqi Cheng (WWW (Companion Volume), 2017)

Efficient Parallel Translating Embedding For Knowledge Graphs. - Denghui Zhang; Manling Li; Yantao Jia; Yuanzhuo Wang (CoRR, 2017)

开放知识库构建技术的多维量化评价方法 (Multi-dimensional Quantitative Evaluation Method of Open Knowledge Base Construction Technology). - Xinlei Chen; Yantao Jia; Yuanzhuo Wang; Xiaolong Jin 001; Xueqi Cheng (计算机科学, 2017)

Link Inference in Dynamic Heterogeneous Information Network: A Knapsack-Based Approach. - Yantao Jia; Yuanzhuo Wang; Xiaolong Jin 001; Zeya Zhao; Xueqi Cheng (IEEE Trans. Comput. Soc. Syst., 2017)

Path-Based Attention Neural Model for Fine-Grained Entity Typing. - Denghui Zhang; Manling Li; Pengshan Cai; Yantao Jia; Yuanzhuo Wang (AAAI, 2018)

Collective Event Detection via a Hierarchical and Bias Tagging Networks with Gated Multi-level Attention Mechanisms. - Yubo Chen 001; Hang Yang; Kang Liu 001; Jun Zhao 001; Yantao Jia (EMNLP, 2018)

The Poisson multi-media knowledge construction System for TAC KBP 2018. - Zhicheng Sheng; Danping Wu; Zelong Li; Wei Zhang 056; Jingchen Lu; Zeming Xu; Dong Liu; Shuo Guo; Yantao Jia; Zhepei Wei; Erxing Yu; Xiongfeng Xiao; et al. (TAC, 2018)

Hierarchical Type Constrained Topic Entity Detection for Knowledge Base Question Answering. - Yunqi Qiu; Manling Li; Yuanzhuo Wang; Yantao Jia; Xiaolong Jin (WWW (Companion Volume), 2018)

Modeling the Correlations of Relations for Knowledge Graph Embedding. - Jizhao Zhu; Yantao Jia; Jun Xu 001; Jianzhong Qiao; Xueqi Cheng (J. Comput. Sci. Technol., 2018)

Path-specific knowledge graph embedding. - Yantao Jia; Yuanzhuo Wang; Xiaolong Jin 001; Xueqi Cheng (Knowl. Based Syst., 2018)

Knowledge Graph Embedding: A Locally and Temporally Adaptive Translation-Based Approach. - Yantao Jia; Yuanzhuo Wang; Xiaolong Jin 001; Hailun Lin; Xueqi Cheng (ACM Trans. Web, 2018)

EasyKG: An End-to-End Knowledge Graph Construction System. - Yantao Jia; Dong Liu; Zhicheng Sheng; Letian Feng; Yi Liu; Shuo Guo (JIST (2), 2019)

Joint Extraction of Entities and Relations with a Hierarchical Multi-task Tagging Model. - Zhepei Wei; Yantao Jia; Yuan Tian 016; Mohammad Javad Hosseini; Mark Steedman; Yi Chang 001 (CoRR, 2019)

Self-learning and embedding based entity alignment. - Saiping Guan; Xiaolong Jin 001; Yuanzhuo Wang; Yantao Jia; Huawei Shen; Zixuan Li 001; Xueqi Cheng (Knowl. Inf. Syst., 2019)

Link Prediction between Group Entities in Knowledge Graphs (Student Abstract). - Jialin Su; Yuanzhuo Wang; Xiaolong Jin 001; Yantao Jia; Xueqi Cheng (AAAI, 2020)

CIDetector: Semi-Supervised Method for Multi-Topic Confidential Information Detection. - Jianguo Jiang; Yue Lu; Min Yu 001; Yantao Jia; Jiafeng Guo; Chao Liu 020; Weiqing Huang (ECAI, 2020)

How Does Context Matter? On the Robustness of Event Detection with Context-Selective Mask Generalization. - Jian Liu 032; Yubo Chen 001; Kang Liu 001; Yantao Jia; Zhicheng Sheng (EMNLP (Findings), 2020)

FedED: Federated Learning via Ensemble Distillation for Medical Relation Extraction. - Dianbo Sui; Yubo Chen 001; Jun Zhao 001; Yantao Jia; Yuantao Xie; Weijian Sun (EMNLP (1), 2020)

Scene Restoring for Narrative Machine Reading Comprehension. - Zhixing Tian; Yuanzhe Zhang; Kang Liu 001; Jun Zhao 001; Yantao Jia; Zhicheng Sheng (EMNLP (1), 2020)

A Two-Level Noise-Tolerant Model for Relation Extraction with Reinforcement Learning. - Erxin Yu; Yantao Jia; Yuan Tian 016; Yi Chang 001 (ICKG, 2020)

Context and Type Enhanced Representation Learning for Relation Extraction. - Erxin Yu; Yantao Jia; Shang Wang; Fengfu Li; Yi Chang 001 (ICKG, 2020)

Generative Adversarial Zero-shot Learning via Knowledge Graphs. - Yuxia Geng; Jiaoyan Chen 001; Zhuo Chen 007; Zhiquan Ye; Zonggang Yuan; Yantao Jia; Huajun Chen (CoRR, 2020)

The Devil is the Classifier: Investigating Long Tail Relation Classification with Decoupling Analysis. - Haiyang Yu 003; Ningyu Zhang 001; Shumin Deng; Zonggang Yuan; Yantao Jia; Huajun Chen (CoRR, 2020)

FedE: Embedding Knowledge Graphs in Federated Setting. - Mingyang Chen; Wen Zhang 015; Zonggang Yuan; Yantao Jia; Huajun Chen (IJCKG, 2021)

Fine-Grained Image-Text Retrieval via Complementary Feature Learning. - Min Zheng; Yantao Jia; Huajie Jiang (MMM (1), 2021)

Answer Complex Questions: Path Ranker Is All You Need. - Xinyu Zhang 019; Ke Zhan; Enrui Hu; Chengzhen Fu; Lan Luo; Hao Jiang 022; Yantao Jia; Fan Yu; Zhicheng Dou; Zhao Cao; Lei Chen 002 (SIGIR, 2021)

OntoZSL: Ontology-enhanced Zero-shot Learning. - Yuxia Geng; Jiaoyan Chen 001; Zhuo Chen 007; Jeff Z. Pan; Zhiquan Ye; Zonggang Yuan; Yantao Jia; Huajun Chen (WWW, 2021)

Emotion Eliciting Machine: Emotion Eliciting Conversation Generation based on Dual Generator. - Hao Jiang 022; Yutao Zhu 001; Xinyu Zhang 019; Zhicheng Dou; Pan Du 001; Te Pi; Yantao Jia (CoRR, 2021)

YES SIR!Optimizing Semantic Space of Negatives with Self-Involvement Ranker. - Ruizhi Pu; Xinyu Zhang 019; Ruofei Lai; Zikai Guo; Yinxia Zhang; Hao Jiang 022; Yongkang Wu; Yantao Jia; Zhicheng Dou; Zhao Cao (CoRR, 2021)

Towards More Effective and Economic Sparsely-Activated Model. - Hao Jiang 022; Ke Zhan; Jianwei Qu; Yongkang Wu; Zhaoye Fei; Xinyu Zhang 019; Lei Chen 002; Zhicheng Dou; Xipeng Qiu; Zikai Guo; Ruofei Lai; Jiawen Wu 002; et al. (CoRR, 2021)

Leveraging Multi-view Inter-passage Interactions for Neural Document Ranking. - Chengzhen Fu; Enrui Hu; Letian Feng; Zhicheng Dou; Yantao Jia; Lei Chen 002; Fan Yu; Zhao Cao (WSDM, 2022)

KMIR: A Benchmark for Evaluating Knowledge Memorization, Identification and Reasoning Abilities of Language Models. - Daniel Gao; Yantao Jia; Lei Li; Chengzhen Fu; Zhicheng Dou; Hao Jiang 022; Xinyu Zhang 019; Lei Chen 002; Zhao Cao (CoRR, 2022)

Federated knowledge graph completion via embedding-contrastive learning. - Mingyang Chen; Wen Zhang 015; Zonggang Yuan; Yantao Jia; Huajun Chen (Knowl. Based Syst., 2022)

Link Prediction in Knowledge Graphs: A Hierarchy-Constrained Approach. - Manling Li; Yuanzhuo Wang; Denghui Zhang; Yantao Jia; Xueqi Cheng (IEEE Trans. Big Data, 2022)

Learning Entity Linking Features for Emerging Entities. - Chenwei Ran; Wei Shen 004; Jianbo Gao; Yuhan Li 001; Jianyong Wang 001; Yantao Jia (IEEE Trans. Knowl. Data Eng., 2023)

Fast Cross-Modality Knowledge Transfer via a Contextual Autoencoder Transformation. - Min Zheng; Chunpeng Wu; Yue Wang; Yantao Jia; Weiwei Liu; Long Lin; Shuai Chen; Fei Zhou (ICASSP, 2024)

Internal Value Alignment in Large Language Models through Controlled Value Vector Activation. - Haoran Jin; Meng Li; Xiting Wang; Zhihao Xu 003; Minlie Huang; Yantao Jia; Defu Lian (ACL (1), 2025)

ICLEval: Evaluating In-Context Learning Ability of Large Language Models. - Wentong Chen; Yankai Lin; ZhenHao Zhou; HongYun Huang; Yantao Jia; Zhao Cao; Ji-Rong Wen (COLING, 2025)

SWE-Debate: Competitive Multi-Agent Debate for Software Issue Resolution. - Han Li; Yuling Shi; Shaoxin Lin; Xiaodong Gu; Heng Lian; Xin Wang; Yantao Jia; Tao Huang; Qianxiang Wang (CoRR, 2025)