| 2026 | AAAI | Offline Fictitious Self-Play for Competitive Games. | Jingxiao Chen, Weiji Xie, Weinan Zhang, Yong Yu, Ying Wen |
| 2026 | ACL | CoreCodeBench: Decoupling Code Intelligence via Fine-Grained Repository-Level Tasks. | Lingyue Fu, Hao Guan, Bolun Zhang, Haowei Yuan, Yaoming Zhu, Lin Qiu, Zongyu Wang, Xuezhi Cao, Xunliang Cai, Weiwen Liu, Weinan Zhang, Yong Yu |
| 2026 | ACL | A Survey of Large Language Model-Based Search Agents. | Yunjia Xi, Jianghao Lin, Yongzhao Xiao, Zheli Zhou, Rong Shan, Te Gao, Jiachen Zhu, Weiwen Liu, Yong Yu, Weinan Zhang |
| 2026 | ACL | Attribution-Based Analysis and Optimization of Modular Agentic Workflows. | Yingxuan Yang, Bo Huang, Siyuan Qi, Chao Feng, Haoyi Hu, Yuxuan Zhu, Jinbo Hu, Haoran Zhao, Ziyi He, Xiao Liu, Zongyu Wang, Muning Wen, Lin Qiu, Xuezhi Cao, Xunliang Cai, Yong Yu, Weinan Zhang |
| 2026 | ACL | LoopTool: Closing the Data-Training Loop for Robust LLM Tool Calls. | Kangning Zhang, Weiwen Liu, Wenxiang Jiao, Kounianhua Du, Yuan Lu, Weinan Zhang, Yong Yu |
| 2026 | ACL | A Comprehensive Survey of Process Reward Models: Data Generation, Model Construction, and Usage. | Congmin Zheng, Jiachen Zhu, Zhuoying Ou, Yuxiang Chen, Kangning Zhang, Rong Shan, Zeyu Zheng, Mengyue Yang, Jianghao Lin, Yong Yu, Weinan Zhang |
| 2026 | AIED | DebugTA: An LLM-Based Agent for Simplifying Debugging and Teaching in Programming Education. | Lingyue Fu, Datong Chen, Haowei Yuan, Qingyao Li, Weiwen Liu, Weinan Zhang, Yong Yu |
| 2026 | DASFAA | Generative Representational Learning of Foundation Models for Recommendation. | Zheli Zhou, Chenxu Zhu, Jianghao Lin, Bo Chen, Ruiming Tang, Yong Yu, Weinan Zhang |
| 2026 | KDD | Sell It Before You Make It: Revolutionizing E-Commerce with Personalized AI-Generated Items. | Jianghao Lin, Peng Du, Jiaqi Liu, Weite Li, Yong Yu, Weinan Zhang, Yang Cao |
| 2026 | PKC | Scalable Two-Round n-Out-of-n and Multi-signatures from Lattices in the Quantum Random Oracle Model. | Qiqi Lai, Feng-Hao Liu, Yang Lu, Haiyang Xue, Yong Yu, Yuan Chen |
| 2026 | WWW | ColorBench: Benchmarking Mobile Agents with Graph-Structured Framework for Complex Long-Horizon Tasks. | Yuanyi Song, Heyuan Huang, Qiqiang Lin, Yin Zhao, Xiangmou Qu, Jun Wang, Xingyu Lou, Weiwen Liu, Zhuosheng Zhang, Jun Wang, Zhaoxiang Wang, Yong Yu, Weinan Zhang |
| 2026 | SIGIR | Modular Representation Compression: Adapting LLM Representations for Efficient and Effective Recommendation. | Yunjia Xi, Menghui Zhu, Jianghao Lin, Bo Chen, Ruiming Tang, Yong Yu, Weinan Zhang |
| 2025 | AAAI | Beyond Graph Convolution: Multimodal Recommendation with Topology-aware MLPs. | Junjie Huang, Jiarui Qin, Yong Yu, Weinan Zhang |
| 2025 | ACL | Retrieval-Augmented Process Reward Model for Generalizable Mathematical Reasoning. | Jiachen Zhu, Congmin Zheng, Jianghao Lin, Kounianhua Du, Ying Wen, Yong Yu, Jun Wang, Weinan Zhang |
| 2025 | ACL | DebateCoder: Towards Collective Intelligence of LLMs via Test Case Driven LLM Debate for Code Generation. | Jizheng Chen, Kounianhua Du, Xinyi Dai, Weiming Zhang, Xihuai Wang, Yasheng Wang, Ruiming Tang, Weinan Zhang, Yong Yu |
| 2025 | ACL | Boost, Disentangle, and Customize: A Robust System2-to-System1 Pipeline for Code Generation. | Kounianhua Du, Hanjing Wang, Jianxing Liu, Jizheng Chen, Xinyi Dai, Yasheng Wang, Ruiming Tang, Yong Yu, Jun Wang, Weinan Zhang |
| 2025 | ACL | CodePRM: Execution Feedback-enhanced Process Reward Model for Code Generation. | Qingyao Li, Xinyi Dai, Xiangyang Li, Weinan Zhang, Yasheng Wang, Ruiming Tang, Yong Yu |
| 2025 | ACSAC | R+R: Anonymous Authentication and Key Agreement, Revisited. | Yanqi Zhao, Xiangyu Liu, Min Xie, Xiaoyi Yang, Jianting Ning, Baodong Qin, Haibin Zhang, Yong Yu |
| 2025 | APWEB | Retrieval and Distill: A Temporal Data Shift-Free Paradigm for Online Recommendation System. | Lei Zheng, Ning Li, Chengguang Gan, Yong Yu, Weinan Zhang |
| 2025 | CIKM | LLM4CD: Leveraging Large Language Models for Open-World Knowledge Augmented Cognitive Diagnosis. | Weiming Zhang, Lingyue Fu, Qingyao Li, Kounianhua Du, Jianghao Lin, Jingwei Yu, Wei Xia, Weinan Zhang, Ruiming Tang, Yong Yu |
| 2025 | EMNLP | RethinkMCTS: Refining Erroneous Thoughts in Monte Carlo Tree Search for Code Generation. | Qingyao Li, Wei Xia, Xinyi Dai, Kounianhua Du, Weiwen Liu, Yasheng Wang, Ruiming Tang, Yong Yu, Weinan Zhang |
| 2025 | EMNLP | NL-Debugging: Exploiting Natural Language as an Intermediate Representation for Code Debugging. | Weiming Zhang, Qingyao Li, Xinyi Dai, Jizheng Chen, Kounianhua Du, Weiwen Liu, Yasheng Wang, Ruiming Tang, Yong Yu, Weinan Zhang |
| 2025 | ICICS | Lightweight Transparent Zero-Knowledge Proofs for Cross-Domain Statements. | Zhengzhou Tu, Min Xie, Junbin Fang, Yong Yu, Zoe L. Jiang |
| 2025 | ICICS | When There Is No Decoder: Removing Watermarks from Stable Diffusion Models in a No-Box Setting. | Xiaodong Wu, Tianyi Tang, Xiangman Li, Jianbing Ni, Yong Yu |
| 2025 | ICML | Large Language Models are Demonstration Pre-Selectors for Themselves. | Jiarui Jin, Yuwei Wu, Haoxuan Li, Xiaoting He, Weinan Zhang, Yiming Yang, Yong Yu, Jun Wang, Mengyue Yang |
| 2025 | IJCNN | Offline Model-based Optimization with Fisher Divergence Regularization. | Mingcheng Chen, Minkai Xu, Yichen Zhu, Haoran Zhao, Weinan Zhang, Yong Yu |
| 2025 | ICRA | World Model-Based Perception for Visual Legged Locomotion. | Hang Lai, Jiahang Cao, Jiafeng Xu, Hongtao Wu, Yunfeng Lin, Tao Kong, Yong Yu, Weinan Zhang |
| 2025 | IJCNN | CECAT: Certainty-Guaranteed Environment for Computerized Adaptive Testing. | Jingwei Yu, Zhenyu Mu, Weiwen Liu, Ting Long, Weiming Zhang, Weinan Zhang, Yong Yu |
| 2025 | IJCNN | IECAT: an Individualized High-Efficiency Ability Assessment for Computerized Adaptive Testing. | Jingwei Yu, Zhenyu Mu, Weiwen Liu, Hangyu Wang, Ting Long, Weinan Zhang, Yong Yu |
| 2025 | ICTAI | QuFormer: Query-Based Transformer for Adversarial Feature Separation. | Yuchen Huang, Yong Yu |
| 2025 | IWCMC | Threshold Anonymous Counting Tokens with Batch Proofs for Online Paywalls. | Yanqi Zhao, Minghong Sun, Min Xie, Xiaoyi Yang, Yong Yu |
| 2025 | KDD | Why Not Together? A Multiple-Round Recommender System for Queries and Items. | Jiarui Jin, Xianyu Chen, Weinan Zhang, Yong Yu, Jun Wang |
| 2025 | KDD | Diffusion Models for Recommender Systems: From Content Distribution To Content Creation. | Jianghao Lin, Yang Cao, Yong Yu, Weinan Zhang |
| 2025 | KDD | An Automatic Graph Construction Framework based on Large Language Models for Recommendation. | Rong Shan, Jianghao Lin, Chenxu Zhu, Bo Chen, Menghui Zhu, Kangning Zhang, Jieming Zhu, Ruiming Tang, Yong Yu, Weinan Zhang |
| 2025 | KDD | Bursting Filter Bubble: Enhancing Serendipity Recommendations with Aligned Large Language Models. | Yunjia Xi, Muyan Weng, Wen Chen, Chao Yi, Dian Chen, Gaoyang Guo, Mao Zhang, Jian Wu, Yuning Jiang, Qingwen Liu, Yong Yu, Weinan Zhang |
| 2025 | WWW | Unleashing the Potential of Multi-Channel Fusion in Retrieval for Personalized Recommendations. | Junjie Huang, Jiarui Qin, Jianghao Lin, Ziming Feng, Weinan Zhang, Yong Yu |
| 2025 | WWW | Simulating Question-answering Correctness with a Conditional Diffusion. | Ting Long, Li'ang Yin, Yi Chang, Wei Xia, Yong Yu |
| 2025 | WWW | D2K: Turning Historical Data into Retrievable Knowledge for Recommender Systems. | Jiarui Qin, Weiwen Liu, Weinan Zhang, Yong Yu |
| 2025 | SIGIR | Action First: Leveraging Preference-Aware Actions for More Effective Decision-Making in Interactive Recommender Systems. | Renting Rui, Yunjia Xi, Weiwen Liu, Jianghao Lin, Bo Chen, Ruiming Tang, Weinan Zhang, Yong Yu |
| 2025 | SIGIR | Efficiency Unleashed: Inference Acceleration for LLM-based Recommender Systems with Speculative Decoding. | Yunjia Xi, Hangyu Wang, Bo Chen, Jianghao Lin, Menghui Zhu, Weiwen Liu, Ruiming Tang, Zhewei Wei, Weinan Zhang, Yong Yu |
| 2024 | CIKM | AlignRec: Aligning and Training in Multimodal Recommendations. | Yifan Liu, Kangning Zhang, Xiangyuan Ren, Yanhua Huang, Jiarui Jin, Yingjie Qin, Ruilong Su, Ruiwen Xu, Yong Yu, Weinan Zhang |
| 2024 | CIKM | ELCoRec: Enhance Language Understanding with Co-Propagation of Numerical and Categorical Features for Recommendation. | Jizheng Chen, Kounianhua Du, Jianghao Lin, Bo Chen, Ruiming Tang, Weinan Zhang, Yong Yu |
| 2024 | CIKM | SINKT: A Structure-Aware Inductive Knowledge Tracing Model with Large Language Model. | Lingyue Fu, Hao Guan, Kounianhua Du, Jianghao Lin, Wei Xia, Weinan Zhang, Ruiming Tang, Yasheng Wang, Yong Yu |
| 2024 | CIKM | MemoCRS: Memory-enhanced Sequential Conversational Recommender Systems with Large Language Models. | Yunjia Xi, Weiwen Liu, Jianghao Lin, Bo Chen, Ruiming Tang, Weinan Zhang, Yong Yu |
| 2024 | COCOON | New Teaching Philosophy of Theoretical Computer Science Courses in AI Era Data Structure as an Example. | Guanjie Zheng, Yiheng Wang, Ziyang Su, Yong Yu |
| 2024 | DEXA | CSPRD: A Financial Policy Retrieval Dataset for Chinese Stock Market. | Jinyuan Wang, Zhong Wang, Zeyang Zhu, Jinhao Xie, Yong Yu, Yongjian Fei, Yue Huang, Dawei Cheng, Hai Zhao |
| 2024 | ICANN | Invariant Graph Contrastive Learning for Mitigating Neighborhood Bias in Graph Neural Network Based Recommender Systems. | Zhenyu Mu, Jianghao Lin, Xiaoyu Zhu, Weinan Zhang, Yong Yu |
| 2024 | ICONIP | Adaptive Retrieval-Based Gradient Planning for Offline Multi-context Model-Based Optimization. | Haoran Zhao, Mingcheng Chen, Weinan Zhang, Yong Yu |
| 2024 | KDD | Privileged Knowledge State Distillation for Reinforcement Learning-based Educational Path Recommendation. | Qingyao Li, Wei Xia, Li'ang Yin, Jiarui Jin, Yong Yu |
| 2024 | PAKDD | Multi-sourced Integrated Ranking with Exposure Fairness. | Yifan Liu, Weiwen Liu, Wei Xia, Jieming Zhu, Weinan Zhang, Zhenhua Dong, Yang Wang, Ruiming Tang, Rui Zhang, Yong Yu |
| 2024 | RecSys | FLIP: Fine-grained Alignment between ID-based Models and Pretrained Language Models for CTR Prediction. | Hangyu Wang, Jianghao Lin, Xiangyang Li, Bo Chen, Chenxu Zhu, Ruiming Tang, Weinan Zhang, Yong Yu |
| 2024 | RecSys | Towards Open-World Recommendation with Knowledge Augmentation from Large Language Models. | Yunjia Xi, Weiwen Liu, Jianghao Lin, Xiaoling Cai, Hong Zhu, Jieming Zhu, Bo Chen, Ruiming Tang, Weinan Zhang, Yong Yu |
| 2024 | WWW | HiFI: Hierarchical Fairness-aware Integrated Ranking with Constrained Reinforcement Learning. | Yifan Liu, Wei Xia, Weiwen Liu, Menghui Zhu, Weinan Zhang, Ruiming Tang, Yong Yu |
| 2024 | WWW | Recall-Augmented Ranking: Enhancing Click-Through Rate Prediction Accuracy with Cross-Stage Data. | Junjie Huang, Guohao Cai, Jieming Zhu, Zhenhua Dong, Ruiming Tang, Weinan Zhang, Yong Yu |
| 2024 | WWW | InfoRank: Unbiased Learning-to-Rank via Conditional Mutual Information Minimization. | Jiarui Jin, Zexue He, Mengyue Yang, Weinan Zhang, Yong Yu, Jun Wang, Julian J. McAuley |
| 2024 | WWW | ClickPrompt: CTR Models are Strong Prompt Generators for Adapting Language Models to CTR Prediction. | Jianghao Lin, Bo Chen, Hangyu Wang, Yunjia Xi, Yanru Qu, Xinyi Dai, Kangning Zhang, Ruiming Tang, Yong Yu, Weinan Zhang |
| 2024 | WWW | ReLLa: Retrieval-enhanced Large Language Models for Lifelong Sequential Behavior Comprehension in Recommendation. | Jianghao Lin, Rong Shan, Chenxu Zhu, Kounianhua Du, Bo Chen, Shigang Quan, Ruiming Tang, Yong Yu, Weinan Zhang |
| 2024 | WWW | M-scan: A Multi-Scenario Causal-driven Adaptive Network for Recommendation. | Jiachen Zhu, Yichao Wang, Jianghao Lin, Jiarui Qin, Ruiming Tang, Weinan Zhang, Yong Yu |
| 2024 | SIGIR | TRAD: Enhancing LLM Agents with Step-Wise Thought Retrieval and Aligned Decision. | Ruiwen Zhou, Yingxuan Yang, Muning Wen, Ying Wen, Wenhao Wang, Chunling Xi, Guoqiang Xu, Yong Yu, Weinan Zhang |
| 2023 | AAAI | Set-to-Sequence Ranking-Based Concept-Aware Learning Path Recommendation. | Xianyu Chen, Jian Shen, Wei Xia, Jiarui Jin, Yakun Song, Weinan Zhang, Weiwen Liu, Menghui Zhu, Ruiming Tang, Kai Dong, Dingyin Xia, Yong Yu |
| 2023 | AAAI | Learning Decomposed Spatial Relations for Multi-Variate Time-Series Modeling. | Yuchen Fang, Kan Ren, Caihua Shan, Yifei Shen, You Li, Weinan Zhang, Yong Yu, Dongsheng Li |
| 2023 | ASPLOS | TensorIR: An Abstraction for Automatic Tensorized Program Optimization. | Siyuan Feng, Bohan Hou, Hongyi Jin, Wuwei Lin, Junru Shao, Ruihang Lai, Zihao Ye, Lianmin Zheng, Cody Hao Yu, Yong Yu, Tianqi Chen |
| 2023 | CIKM | Replace Scoring with Arrangement: A Contextual Set-to-Arrangement Framework for Learning-to-Rank. | Jiarui Jin, Xianyu Chen, Weinan Zhang, Mengyue Yang, Yang Wang, Yali Du, Yong Yu, Jun Wang |
| 2023 | CIKM | Graph Enhanced Hierarchical Reinforcement Learning for Goal-oriented Learning Path Recommendation. | Qingyao Li, Wei Xia, Li'ang Yin, Jian Shen, Renting Rui, Weinan Zhang, Xianyu Chen, Ruiming Tang, Yong Yu |
| 2023 | CIKM | Optimal Real-Time Bidding Strategy for Position Auctions in Online Advertising. | Weitong Ou, Bo Chen, Weiwen Liu, Xinyi Dai, Weinan Zhang, Wei Xia, Xuan Li, Ruiming Tang, Yong Yu |
| 2023 | DSN | Practical Asynchronous Distributed Key Generation: Improved Efficiency, Weaker Assumption, and Standard Model. | Haibin Zhang, Sisi Duan, Chao Liu, Boxin Zhao, Xuanji Meng, Shengli Liu, Yong Yu, Fangguo Zhang, Liehuang Zhu |
| 2023 | ICRA | Sim-to-Real Transfer for Quadrupedal Locomotion via Terrain Transformer. | Hang Lai, Weinan Zhang, Xialin He, Chen Yu, Zheng Tian, Yong Yu, Jun Wang |
| 2023 | KDD | Learning Multi-Agent Intention-Aware Communication for Optimal Multi-Order Execution in Finance. | Yuchen Fang, Zhenggang Tang, Kan Ren, Weiqing Liu, Li Zhao, Jiang Bian, Dongsheng Li, Weinan Zhang, Yong Yu, Tie-Yan Liu |
| 2023 | KDD | MAP: A Model-agnostic Pretraining Framework for Click-through Rate Prediction. | Jianghao Lin, Yanru Qu, Wei Guo, Xinyi Dai, Ruiming Tang, Yong Yu, Weinan Zhang |
| 2023 | KDD | Deep Landscape Forecasting in Multi-Slot Real-Time Bidding. | Weitong Ou, Bo Chen, Yingxuan Yang, Xinyi Dai, Weiwen Liu, Weinan Zhang, Ruiming Tang, Yong Yu |
| 2023 | KDD | GMOCAT: A Graph-Enhanced Multi-Objective Method for Computerized Adaptive Testing. | Hangyu Wang, Ting Long, Liang Yin, Weinan Zhang, Wei Xia, Qichen Hong, Dingyin Xia, Ruiming Tang, Yong Yu |
| 2023 | KDD | On-device Integrated Re-ranking with Heterogeneous Behavior Modeling. | Yunjia Xi, Weiwen Liu, Yang Wang, Ruiming Tang, Weinan Zhang, Yue Zhu, Rui Zhang, Yong Yu |
| 2023 | SP | RSFuzzer: Discovering Deep SMI Handler Vulnerabilities in UEFI Firmware with Hybrid Fuzzing. | Jiawei Yin, Menghao Li, Yuekang Li, Yong Yu, Boru Lin, Yanyan Zou, Yang Liu, Wei Huo, Jingling Xue |
| 2023 | WSDM | An F-shape Click Model for Information Retrieval on Multi-block Mobile Pages. | Lingyue Fu, Jianghao Lin, Weiwen Liu, Ruiming Tang, Weinan Zhang, Rui Zhang, Yong Yu |
| 2023 | WSDM | Learning to Distinguish Multi-User Coupling Behaviors for TV Recommendation. | Jiarui Qin, Jiachen Zhu, Yankai Liu, Junchao Gao, Jianjie Ying, Chaoxiong Liu, Ding Wang, Junlan Feng, Chao Deng, Xiaozheng Wang, Jian Jiang, Cong Liu, Yong Yu, Haitao Zeng, Weinan Zhang |
| 2023 | WSDM | A Bird's-eye View of Reranking: From List Level to Page Level. | Yunjia Xi, Jianghao Lin, Weiwen Liu, Xinyi Dai, Weinan Zhang, Rui Zhang, Ruiming Tang, Yong Yu |
| 2023 | WSDM | AutoGen: An Automated Dynamic Model Generation Framework for Recommender System. | Chenxu Zhu, Bo Chen, Huifeng Guo, Hang Xu, Xiangyang Li, Xiangyu Zhao, Weinan Zhang, Yong Yu, Ruiming Tang |
| 2022 | AAAI | Multi-View Graph Representation for Programming Language Processing: An Investigation into Algorithm Detection. | Ting Long, Yutong Xie, Xianyu Chen, Weinan Zhang, Qinxiang Cao, Yong Yu |
| 2022 | ACL | Nested Named Entity Recognition with Span-level Graphs. | Juncheng Wan, Dongyu Ru, Weinan Zhang, Yong Yu |
| 2022 | CIKM | Multi-Scale User Behavior Network for Entire Space Multi-Task Learning. | Jiarui Jin, Xianyu Chen, Weinan Zhang, Yuanbo Chen, Zaifan Jiang, Zekun Zhu, Zhewen Su, Yong Yu |
| 2022 | COLING | PAEG: Phrase-level Adversarial Example Generation for Neural Machine Translation. | Juncheng Wan, Jian Yang, Shuming Ma, Dongdong Zhang, Weinan Zhang, Yong Yu, Zhoujun Li |
| 2022 | EDM | Automatical Graph-based Knowledge Tracing. | Ting Long, Yunfei Liu, Weinan Zhang, Wei Xia, Zhicheng He, Ruiming Tang, Yong Yu |
| 2022 | ICLR | Inductive Relation Prediction Using Analogy Subgraph Embeddings. | Jiarui Jin, Yangkun Wang, Kounianhua Du, Weinan Zhang, Zheng Zhang, David Wipf, Yong Yu, Quan Gan |
| 2022 | ICLR | Why Propagate Alone? Parallel Use of Labels and Features on Graphs. | Yangkun Wang, Jiarui Jin, Weinan Zhang, Yongyi Yang, Jiuhai Chen, Quan Gan, Yong Yu, Zheng Zhang, Zengfeng Huang, David Wipf |
| 2022 | ICML | Plan Your Target and Learn Your Skills: Transferable State-Only Imitation Learning via Decoupled Policy Optimization. | Minghuan Liu, Zhengbang Zhu, Yuzheng Zhuang, Weinan Zhang, Jianye Hao, Yong Yu, Jun Wang |
| 2022 | ICONIP | Heterogeneous Graph Representation for Knowledge Tracing. | Jisen Chen, Jian Shen, Ting Long, Liping Shen, Weinan Zhang, Yong Yu |
| 2022 | ICONIP | Aggregating Intra-class and Inter-class Information for Multi-label Text Classification. | Xianze Wu, Dongyu Ru, Weinan Zhang, Yong Yu, Ziming Feng |
| 2022 | ICRA | Promoting Quality and Diversity in Population-based Reinforcement Learning via Hierarchical Trajectory Space Exploration. | Jiayu Miao, Tianze Zhou, Kun Shao, Ming Zhou, Weinan Zhang, Jianye Hao, Yong Yu, Jun Wang |
| 2022 | IPEC | Wind Tunnel Test Research on the Flight Style of Ski Jumping. | Zefeng Ma, Yong Yu, Hanfeng Wang, Guohao Deng |
| 2022 | KDD | Retrieval-Based Gradient Boosting Decision Trees for Disease Risk Assessment. | Handong Ma, Jiahang Cao, Yuchen Fang, Weinan Zhang, Wenbo Sheng, Shaodian Zhang, Yong Yu |
| 2022 | KDD | Combo-Fashion: Fashion Clothes Matching CTR Prediction with Item History. | Chenxu Zhu, Peng Du, Weinan Zhang, Yong Yu, Yang Cao |
| 2022 | KDD | User-tag Profile Modeling in Recommendation System via Contrast Weighted Tag Masking. | Chenxu Zhu, Peng Du, Xianghui Zhu, Weinan Zhang, Yong Yu, Yang Cao |
| 2022 | WWW | Learn over Past, Evolve for Future: Search-based Time-aware Recommendation with Sequential Behavior Data. | Jiarui Jin, Xianyu Chen, Weinan Zhang, Junjie Huang, Ziming Feng, Yong Yu |
| 2022 | WWW | Who to Watch Next: Two-side Interactive Networks for Live Broadcast Recommendation. | Jiarui Jin, Xianyu Chen, Yuanbo Chen, Weinan Zhang, Renting Rui, Zaifan Jiang, Zhewen Su, Yong Yu |
| 2022 | SIGIR | RankFlow: Joint Optimization of Multi-Stage Cascade Ranking Systems as Flows. | Jiarui Qin, Jiachen Zhu, Bo Chen, Zhirong Liu, Weiwen Liu, Ruiming Tang, Rui Zhang, Yong Yu, Weinan Zhang |
| 2022 | SIGIR | Multi-Level Interaction Reranking with User Behavior History. | Yunjia Xi, Weiwen Liu, Jieming Zhu, Xilong Zhao, Xinyi Dai, Ruiming Tang, Weinan Zhang, Rui Zhang, Yong Yu |
| 2022 | WSDM | Improving Knowledge Tracing with Collaborative Information. | Ting Long, Jiarui Qin, Jian Shen, Weinan Zhang, Wei Xia, Ruiming Tang, Xiuqiang He, Yong Yu |
| 2022 | SECON | Your Breath Doesn't Lie: Multi-user Authentication by Sensing Respiration Using mmWave Radar. | Yao Wang, Tao Gu, Tom H. Luan, Yong Yu |
| 2021 | AAAI | Universal Trading for Order Execution with Oracle Policy Distillation. | Yuchen Fang, Kan Ren, Weiqing Liu, Dong Zhou, Weinan Zhang, Jiang Bian, Yong Yu, Tie-Yan Liu |
| 2021 | ACISP | Concise Mercurial Subvector Commitments: Definitions and Constructions. | Yannan Li, Willy Susilo, Guomin Yang, Tran Viet Xuan Phuong, Yong Yu, Dongxi Liu |
| 2021 | ACL | Glancing Transformer for Non-Autoregressive Neural Machine Translation. | Lihua Qian, Hao Zhou, Yu Bao, Mingxuan Wang, Lin Qiu, Weinan Zhang, Yong Yu, Lei Li |
| 2021 | AsiaCCS | Non-Equivocation in Blockchain: Double-Authentication-Preventing Signatures Gone Contractual. | Yannan Li, Willy Susilo, Guomin Yang, Yong Yu, Tran Viet Xuan Phuong, Dongxi Liu |
| 2021 | EMNLP | Learning Logic Rules for Document-Level Relation Extraction. | Dongyu Ru, Changzhi Sun, Jiangtao Feng, Lin Qiu, Hao Zhou, Weinan Zhang, Yong Yu, Lei Li |
| 2021 | ICLR | MARS: Markov Molecular Sampling for Multi-objective Drug Discovery. | Yutong Xie, Chence Shi, Hao Zhou, Yuwei Yang, Weinan Zhang, Yong Yu, Lei Li |
| 2021 | IJCAI | MapGo: Model-Assisted Policy Optimization for Goal-Oriented Tasks. | Menghui Zhu, Minghuan Liu, Jian Shen, Zhicheng Zhang, Sheng Chen, Weinan Zhang, Deheng Ye, Yong Yu, Qiang Fu, Wei Yang |
| 2021 | IECON | Second-Order Complex-Coefficient Filter PLL for Model-based Sensorless IPMSM Drives with Operation-Frequency-Adaptive Character. | Bo Wang, Anqi Ge, Yong Yu, Dianguo Xu |
| 2021 | IECON | Operation-Area-Selected Overmodulation Strategy for Flux-Weakening Control of Surface-Mounted Permanent Magnet Synchronous Motor. | Yong Yu, Linzhi Wang, Bo Wang, Qinghua Dong, Dianguo Xu |
| 2021 | IECON | Discrete Adaptive Full-Order Observer for Speed Sensorless Induction Motor Drives under Low PWM-to-Output Frequencies Ratio. | Yong Yu, Wenbo Zhao, Bo Wang, Dianguo Xu |
| 2021 | KDD | Task-wise Split Gradient Boosting Trees for Multi-center Diabetes Prediction. | Mingcheng Chen, Zhenghui Wang, Zhiyun Zhao, Weinan Zhang, Xiawei Guo, Jian Shen, Yanru Qu, Jieli Lu, Min Xu, Yu Xu, Tiange Wang, Mian Li, Weiwei Tu, Yong Yu, Yufang Bi, Weiqing Wang, Guang Ning |
| 2021 | KDD | Retrieval & Interaction Machine for Tabular Data Prediction. | Jiarui Qin, Weinan Zhang, Rong Su, Zhirong Liu, Weiwen Liu, Ruiming Tang, Xiuqiang He, Yong Yu |
| 2021 | WWW | An Adversarial Imitation Click Model for Information Retrieval. | Xinyi Dai, Jianghao Lin, Weinan Zhang, Shuai Li, Weiwen Liu, Ruiming Tang, Xiuqiang He, Jianye Hao, Jun Wang, Yong Yu |
| 2021 | WWW | AutoSTG: Neural Architecture Search for Predictions of Spatio-Temporal Graph✱. | Zheyi Pan, Songyu Ke, Xiaodu Yang, Yuxuan Liang, Yong Yu, Junbo Zhang, Yu Zheng |
| 2021 | SIGIR | A Graph-Enhanced Click Model for Web Search. | Jianghao Lin, Weiwen Liu, Xinyi Dai, Weinan Zhang, Shuai Li, Ruiming Tang, Xiuqiang He, Jianye Hao, Yong Yu |
| 2021 | SIGIR | Tracing Knowledge State with Individual Cognition and Acquisition Estimation. | Ting Long, Yunfei Liu, Jian Shen, Weinan Zhang, Yong Yu |
| 2020 | AAAI | Infomax Neural Joint Source-Channel Coding via Adversarial Bit Flip. | Yuxuan Song, Minkai Xu, Lantao Yu, Hao Zhou, Shuo Shao, Yong Yu |
| 2020 | AAAI | Towards Making the Most of BERT in Neural Machine Translation. | Jiacheng Yang, Mingxuan Wang, Hao Zhou, Chengqi Zhao, Weinan Zhang, Yong Yu, Lei Li |
| 2020 | AISTATS | Efficient Spectrum-Revealing CUR Matrix Decomposition. | Cheng Chen, Ming Gu, Zhihua Zhang, Weinan Zhang, Yong Yu |
| 2020 | CIKM | U-rank: Utility-oriented Learning to Rank with Implicit Feedback. | Xinyi Dai, Jiawei Hou, Qing Liu, Yunjia Xi, Ruiming Tang, Weinan Zhang, Xiuqiang He, Jun Wang, Yong Yu |
| 2020 | CIKM | GeneraLight: Improving Environment Generalization of Traffic Signal Control via Meta Reinforcement Learning. | Huichu Zhang, Chang Liu, Weinan Zhang, Guanjie Zheng, Yong Yu |
| 2020 | ECAI | Improving Unsupervised Domain Adaptation with Variational Information Bottleneck. | Yuxuan Song, Lantao Yu, Zhangjie Cao, Zhiming Zhou, Jian Shen, Shuo Shao, Weinan Zhang, Yong Yu |
| 2020 | EMNLP | Active Sentence Learning by Adversarial Uncertainty Sampling in Discrete Space. | Dongyu Ru, Jiangtao Feng, Lin Qiu, Hao Zhou, Mingxuan Wang, Weinan Zhang, Yong Yu, Lei Li |
| 2020 | ICANN | CABIN: A Novel Cooperative Attention Based Location Prediction Network Using Internal-External Trajectory Dependencies. | Tangwen Qian, Fei Wang, Yongjun Xu, Yu Jiang, Tao Sun, Yong Yu |
| 2020 | ICLR | Multi-Agent Interactions Modeling with Correlated Policies. | Minghuan Liu, Ming Zhou, Weinan Zhang, Yuzheng Zhuang, Jun Wang, Wulong Liu, Yong Yu |
| 2020 | ICML | Bidirectional Model-based Policy Optimization. | Hang Lai, Jian Shen, Weinan Zhang, Yong Yu |
| 2020 | IJCAI | Efficient and Robust High-Dimensional Linear Contextual Bandits. | Cheng Chen, Luo Luo, Weinan Zhang, Yong Yu, Yijiang Lian |
| 2020 | IJCAI | DropNAS: Grouped Operation Dropout for Differentiable Architecture Search. | Weijun Hong, Guilin Li, Weinan Zhang, Ruiming Tang, Yunhe Wang, Zhenguo Li, Yong Yu |
| 2020 | IJCAI | Improving Knowledge Tracing via Pre-training Question Embeddings. | Yunfei Liu, Yang Yang, Xianyu Chen, Jian Shen, Haifeng Zhang, Yong Yu |
| 2020 | IJCAI | Aggregating Crowd Wisdom with Side Information via a Clustering-based Label-aware Autoencoder. | Li'ang Yin, Yunfei Liu, Weinan Zhang, Yong Yu |
| 2020 | IJCNN | TULSN: Siamese Network for Trajectory-user Linking. | Yong Yu, Haina Tang, Fei Wang, Lin Wu, Tangwen Qian, Tao Sun, Yongjun Xu |
| 2020 | KDD | An Efficient Neighborhood-based Interaction Model for Recommendation on Heterogeneous Graph. | Jiarui Jin, Jiarui Qin, Yuchen Fang, Kounianhua Du, Weinan Zhang, Yong Yu, Zheng Zhang, Alexander J. Smola |
| 2020 | KDD | AutoFIS: Automatic Feature Interaction Selection in Factorization Models for Click-Through Rate Prediction. | Bin Liu, Chenxu Zhu, Guilin Li, Weinan Zhang, Jincai Lai, Ruiming Tang, Xiuqiang He, Zhenguo Li, Yong Yu |
| 2020 | QRS | Decision Network: a New Network-Based Classifier. | Yong Yu, Ming Jing, Jie Li, Na Zhao, Jinzhuo Liu |
| 2020 | SIGIR | A Deep Recurrent Survival Model for Unbiased Ranking. | Jiarui Jin, Yuchen Fang, Weinan Zhang, Kan Ren, Guorui Zhou, Jian Xu, Yong Yu, Jun Wang, Xiaoqiang Zhu, Kun Gai |
| 2020 | SIGIR | User Behavior Retrieval for Click-Through Rate Prediction. | Jiarui Qin, Weinan Zhang, Xin Wu, Jiarui Jin, Yuchen Fang, Yong Yu |
| 2020 | SIGIR | QuAChIE: Question Answering based Chinese Information Extraction System. | Dongyu Ru, Zhenghui Wang, Lin Qiu, Hao Zhou, Lei Li, Weinan Zhang, Yong Yu |
| 2020 | SIGIR | TADS: Learning Time-Aware Scheduling Policy with Dyna-Style Planning for Spaced Repetition. | Zhengyu Yang, Jian Shen, Yunfei Liu, Yang Yang, Weinan Zhang, Yong Yu |
| 2020 | SIGIR | Interactive Recommender System via Knowledge Graph-enhanced Reinforcement Learning. | Sijin Zhou, Xinyi Dai, Haokun Chen, Weinan Zhang, Kan Ren, Ruiming Tang, Xiuqiang He, Yong Yu |
| 2020 | WSDM | Sequential Recommendation with Dual Side Neighbor-based Collaborative Relation Modeling. | Jiarui Qin, Kan Ren, Yuchen Fang, Weinan Zhang, Yong Yu |
| 2019 | AAAI | Large-Scale Interactive Recommendation with Tree-Structured Policy Gradient. | Haokun Chen, Xinyi Dai, Han Cai, Weinan Zhang, Xuejian Wang, Ruiming Tang, Yuzhou Zhang, Yong Yu |
| 2019 | AAAI | Guiding the One-to-One Mapping in CycleGAN via Optimal Transport. | Guansong Lu, Zhiming Zhou, Yuxuan Song, Kan Ren, Yong Yu |
| 2019 | AAAI | Deep Recurrent Survival Analysis. | Kan Ren, Jiarui Qin, Lei Zheng, Zhengyu Yang, Weinan Zhang, Lin Qiu, Yong Yu |
| 2019 | ACL | Dynamically Fused Graph Network for Multi-hop Reasoning. | Lin Qiu, Yunxuan Xiao, Yanru Qu, Hao Zhou, Lei Li, Weinan Zhang, Yong Yu |
| 2019 | CANS | Anonymous Asynchronous Payment Channel from k-Time Accountable Assertion. | Yangguang Tian, Yingjiu Li, Binanda Sengupta, Nan Li, Yong Yu |
| 2019 | CIKM | Matrix Factorization for Spatio-Temporal Neural Networks with Applications to Urban Flow Prediction. | Zheyi Pan, Zhaoyuan Wang, Weifeng Wang, Yong Yu, Junbo Zhang, Yu Zheng |
| 2019 | CIKM | Multi-Agent Reinforcement Learning for Order-dispatching via Order-Vehicle Distribution Matching. | Ming Zhou, Jiarui Jin, Weinan Zhang, Zhiwei (Tony) Qin, Yan Jiao, Chenxi Wang, Guobin Wu, Yong Yu, Jieping Ye |
| 2019 | EMNLP | Exploring Diverse Expressions for Paraphrase Generation. | Lihua Qian, Lin Qiu, Weinan Zhang, Xin Jiang, Yong Yu |
| 2019 | GLOBECOM | Leakage-Resilient Certificateless Signcryption Scheme. | Qiliang Yang, Yanwei Zhou, Yong Yu |
| 2019 | ICLR | AdaShift: Decorrelation and Convergence of Adaptive Learning Rate Methods. | Zhiming Zhou, Qingru Zhang, Guansong Lu, Hongwei Wang, Weinan Zhang, Yong Yu |
| 2019 | ICML | Lipschitz Generative Adversarial Nets. | Zhiming Zhou, Jiadong Liang, Yuxuan Song, Lantao Yu, Hongwei Wang, Weinan Zhang, Yong Yu, Zhihua Zhang |
| 2019 | IJCAI | Hybrid Actor-Critic Reinforcement Learning in Parameterized Action Space. | Zhou Fan, Rui Su, Weinan Zhang, Yong Yu |
| 2019 | KDD | TrajGuard: A Comprehensive Trajectory Copyright Protection Scheme. | Zheyi Pan, Jie Bao, Weinan Zhang, Yong Yu, Yu Zheng |
| 2019 | KDD | Urban Traffic Prediction from Spatio-Temporal Data Using Deep Meta Learning. | Zheyi Pan, Yuxuan Liang, Weifeng Wang, Yong Yu, Yu Zheng, Junbo Zhang |
| 2019 | KDD | Deep Landscape Forecasting for Real-time Bidding Advertising. | Kan Ren, Jiarui Qin, Lei Zheng, Zhengyu Yang, Weinan Zhang, Yong Yu |
| 2019 | NSS | Lattice Based Verifiably Encrypted Double Authentication Preventing Signatures. | Jinhui Liu, Yong Yu |
| 2019 | WWW | Sampled in Pairs and Driven by Text: A New Graph Embedding Framework. | Liheng Chen, Yanru Qu, Zhenghui Wang, Lin Qiu, Weinan Zhang, Ken Chen, Shaodian Zhang, Yong Yu |
| 2019 | WWW | CityFlow: A Multi-Agent Reinforcement Learning Environment for Large Scale City Traffic Scenario. | Huichu Zhang, Siyuan Feng, Chang Liu, Yaoyao Ding, Yichen Zhu, Zihan Zhou, Weinan Zhang, Yong Yu, Haiming Jin, Zhenhui Li |
| 2019 | SIGIR | Lifelong Sequential Modeling with Personalized Memorization for User Response Prediction. | Kan Ren, Jiarui Qin, Yuchen Fang, Weinan Zhang, Lei Zheng, Weijie Bian, Guorui Zhou, Jian Xu, Yong Yu, Xiaoqiang Zhu, Kun Gai |
| 2019 | SIGIR | Triple-to-Text: Converting RDF Triples into High-Quality Natural Languages via Optimizing an Inverse KL Divergence. | Yaoming Zhu, Juncheng Wan, Zhiming Zhou, Liheng Chen, Lin Qiu, Weinan Zhang, Xin Jiang, Yong Yu |
| 2018 | AAAI | Efficient Architecture Search by Network Transformation. | Han Cai, Tianyao Chen, Weinan Zhang, Yong Yu, Jun Wang |
| 2018 | AAAI | Neural Link Prediction over Aligned Networks. | Xuezhi Cao, Haokun Chen, Xuejian Wang, Weinan Zhang, Yong Yu |
| 2018 | AAAI | Long Text Generation via Adversarial Training with Leaked Information. | Jiaxian Guo, Sidi Lu, Han Cai, Weinan Zhang, Yong Yu, Jun Wang |
| 2018 | AAAI | Wasserstein Distance Guided Representation Learning for Domain Adaptation. | Jian Shen, Yanru Qu, Weinan Zhang, Yong Yu |
| 2018 | AAAI | MAgent: A Many-Agent Reinforcement Learning Platform for Artificial Collective Intelligence. | Lianmin Zheng, Jiacheng Yang, Han Cai, Ming Zhou, Weinan Zhang, Jun Wang, Yong Yu |
| 2018 | ACISP | Anonymous Identity-Based Hash Proof System from Lattices in the Standard Model. | Qiqi Lai, Bo Yang, Yong Yu, Yuan Chen, Liju Dong |
| 2018 | CIKM | Learning Multi-touch Conversion Attribution with Dual-attention Mechanisms for Online Advertising. | Kan Ren, Yuchen Fang, Weinan Zhang, Shuhao Liu, Jiajun Li, Ya Zhang, Yong Yu, Jun Wang |
| 2018 | GLOBECOM | A Bignum Network Coding Scheme for Multipath Transmission in Vehicular Networks. | Yuyang Zhang, Ping Dong, Yong Yu, Xiaojiang Du, Hongbin Luo, Tao Zheng, Mohsen Guizani |
| 2018 | ICLR | Activation Maximization Generative Adversarial Nets. | Zhiming Zhou, Han Cai, Shu Rong, Yuxuan Song, Kan Ren, Weinan Zhang, Jun Wang, Yong Yu |
| 2018 | ICML | Path-Level Network Transformation for Efficient Architecture Search. | Han Cai, Jiacheng Yang, Weinan Zhang, Song Han, Yong Yu |
| 2018 | IJCAI | Learning to Design Games: Strategic Environments in Reinforcement Learning. | Haifeng Zhang, Jun Wang, Zhiming Zhou, Weinan Zhang, Yin Wen, Yong Yu, Wenxin Li |
| 2018 | ISPEC | DSH: Deniable Secret Handshake Framework. | Yangguang Tian, Yingjiu Li, Yinghui Zhang, Nan Li, Guomin Yang, Yong Yu |
| 2018 | NAACL | Label-Aware Double Transfer Learning for Cross-Specialty Medical Named Entity Recognition. | Zhenghui Wang, Yanru Qu, Liheng Chen, Jian Shen, Weinan Zhang, Shaodian Zhang, Yimei Gao, Gen Gu, Ken Chen, Yong Yu |
| 2018 | NSS | An Efficient Privacy Preserving Batch Authentication Scheme with Deterable Function for VANETs. | Jinhui Liu, Yong Yu, Yanqi Zhao, Jianwei Jia, Shijia Wang |
| 2018 | SIGIR | Texygen: A Benchmarking Platform for Text Generation Models. | Yaoming Zhu, Sidi Lu, Lei Zheng, Jiaxian Guo, Weinan Zhang, Jun Wang, Yong Yu |
| 2018 | SP | A Machine Learning Approach to Prevent Malicious Calls over Telephony Networks. | Huichen Li, Xiaojun Xu, Chang Liu, Teng Ren, Kun Wu, Xuezhi Cao, Weinan Zhang, Yong Yu, Dawn Song |
| 2017 | AAAI | SeqGAN: Sequence Generative Adversarial Nets with Policy Gradient. | Lantao Yu, Weinan Zhang, Jun Wang, Yong Yu |
| 2017 | ACISP | Privacy-Preserving k-time Authenticated Secret Handshakes. | Yangguang Tian, Shiwei Zhang, Guomin Yang, Yi Mu, Yong Yu |
| 2017 | CIKM | Content Recommendation by Noise Contrastive Transfer Learning of Feature Representation. | Yiyang Li, Guanyu Tao, Weinan Zhang, Yong Yu, Jun Wang |
| 2017 | CIKM | Volume Ranking and Sequential Selection in Programmatic Display Advertising. | Yuxuan Song, Kan Ren, Han Cai, Weinan Zhang, Yong Yu |
| 2017 | IJCAI | Aggregating Crowd Wisdoms with Label-aware Autoencoders. | Li'ang Yin, Jianhua Han, Weinan Zhang, Yong Yu |
| 2017 | ISPEC | Privacy-Preserving Extraction of HOG Features Based on Integer Vector Homomorphic Encryption. | Haomiao Yang, Yunfan Huang, Yong Yu, Mingxuan Yao, Xiaosong Zhang |
| 2017 | KDD | Dynamic Attention Deep Model for Article Recommendation by Learning Human Editors' Demonstration. | Xuejian Wang, Lantao Yu, Kan Ren, Guanyu Tao, Weinan Zhang, Yong Yu, Jun Wang |
| 2017 | WWW | Cataloguing Treatments Discussed and Used in Online Autism Communities. | Shaodian Zhang, Tian Kang, Lin Qiu, Weinan Zhang, Yong Yu, Nomie Elhadad |
| 2017 | WWW | We Make Choices We Think are Going to Save Us: Debate and Stance Identification for Online Breast Cancer CAM Discussions. | Shaodian Zhang, Lin Qiu, Frank Chen, Weinan Zhang, Yong Yu, Nomie Elhadad |
| 2017 | WSDM | Real-Time Bidding by Reinforcement Learning in Display Advertising. | Han Cai, Kan Ren, Weinan Zhang, Kleanthis Malialis, Jun Wang, Yong Yu, Defeng Guo |
| 2016 | ACISP | Public Cloud Data Auditing with Practical Key Update and Zero Knowledge Privacy. | Yong Yu, Yannan Li, Man Ho Au, Willy Susilo, Kim-Kwang Raymond Choo, Xinpeng Zhang |
| 2016 | APWEB | Aggregating Crowd Wisdom with Instance Grouping Methods. | Li'ang Yin, Zhengbo Li, Jianhua Han, Yong Yu |
| 2016 | CIKM | ASNets: A Benchmark Dataset of Aligned Social Networks for Cross-Platform User Modeling. | Xuezhi Cao, Yong Yu |
| 2016 | CIKM | User Response Learning for Directly Optimizing Campaign Performance in Display Advertising. | Kan Ren, Weinan Zhang, Yifei Rong, Haifeng Zhang, Yong Yu, Jun Wang |
| 2016 | ECCV | Unsupervised Deep Domain Adaptation for Pedestrian Detection. | Lihang Liu, Weiyao Lin, Lisheng Wu, Yong Yu, Michael Ying Yang |
| 2016 | EMNLP | Context-Dependent Sense Embedding. | Lin Qiu, Kewei Tu, Yong Yu |
| 2016 | GLOBECOM | Secure and Deduplicated Spatial Crowdsourcing: A Fog-Based Approach. | Jianbing Ni, Xiaodong Lin, Kuan Zhang, Yong Yu |
| 2016 | ICDM | Product-Based Neural Networks for User Response Prediction. | Yanru Qu, Han Cai, Kan Ren, Weinan Zhang, Yong Yu, Ying Wen, Jun Wang |
| 2016 | ProvSec | One-Round Attribute-Based Key Exchange in the Multi-party Setting. | Yangguang Tian, Guomin Yang, Yi Mu, Kaitai Liang, Yong Yu |
| 2016 | RecSys | Joint User Modeling across Aligned Heterogeneous Sites. | Xuezhi Cao, Yong Yu |
| 2016 | RecSys | Are You Influenced by Others When Rating?: Improve Rating Prediction by Conformity Modeling. | Yiming Liu, Xuezhi Cao, Yong Yu |
| 2016 | WWW | Label Aggregation with Instance Grouping Model. | Li'ang Yin, Jianhua Han, Yong Yu |
| 2016 | SIGIR | A Complete & Comprehensive Movie Review Dataset (CCMR). | Xuezhi Cao, Weiyue Huang, Yong Yu |
| 2016 | SecureComm | Cloud-Based Privacy-Preserving Parking Navigation Through Vehicular Communications. | Jianbing Ni, Kuan Zhang, Xiaodong Lin, Yong Yu, Xuemin (Sherman) Shen |
| 2015 | ICDM | Recovering Cross-Device Connections via Mining IP Footprints with Ensemble Learning. | Xuezhi Cao, Weiyue Huang, Yong Yu |
| 2015 | ProvSec | Provably Secure Identity Based Provable Data Possession. | Yong Yu, Yafang Zhang, Yi Mu, Willy Susilo, Hongyu Liu |
| 2014 | AAAI | Learning Word Representation Considering Proximity and Ambiguity. | Lin Qiu, Yong Cao, Zaiqing Nie, Yong Yu, Yong Rui |
| 2014 | ACCV | A Latent Clothing Attribute Approach for Human Pose Estimation. | Weipeng Zhang, Jie Shen, Guangcan Liu, Yong Yu |
| 2014 | ESORICS | New Insight to Preserve Online Survey Accuracy and Privacy in Big Data Era. | Joseph K. Liu, Man Ho Au, Xinyi Huang, Willy Susilo, Jianying Zhou, Yong Yu |
| 2014 | ICDM | LorSLIM: Low Rank Sparse Linear Methods for Top-N Recommendations. | Yao Cheng, Li'ang Yin, Yong Yu |
| 2014 | ICDM | A Parallel and Efficient Algorithm for Learning to Match. | Jingbo Shang, Tianqi Chen, Hang Li, Zhengdong Lu, Yong Yu |
| 2014 | ISPEC | An Adaptively CCA-Secure Ciphertext-Policy Attribute-Based Proxy Re-Encryption for Cloud Data Sharing. | Kaitai Liang, Man Ho Au, Willy Susilo, Duncan S. Wong, Guomin Yang, Yong Yu |
| 2014 | ISPEC | Improvement of a Remote Data Possession Checking Protocol from Algebraic Signatures. | Yong Yu, Jianbing Ni, Jian Ren, Wei Wu, Lanxiang Chen, Qi Xia |
| 2014 | KDD | Inferring gas consumption and pollution emission of vehicles throughout a city. | Jingbo Shang, Yu Zheng, Wenzhu Tong, Eric Chang, Yong Yu |
| 2014 | NSS | Identity Privacy-Preserving Public Auditing with Dynamic Group for Secure Mobile Cloud Storage. | Yong Yu, Yi Mu, Jianbing Ni, Jiang Deng, Ke Huang |
| 2014 | SIGIR | Does product recommendation meet its waterloo in unexplored categories?: no, price comes to help. | Jia Chen, Qin Jin, Shiwan Zhao, Shenghua Bao, Li Zhang, Zhong Su, Yong Yu |
| 2014 | SIGIR | Probabilistic text modeling with orthogonalized topics. | Enpeng Yao, Guoqing Zheng, Ou Jin, Shenghua Bao, Kailong Chen, Zhong Su, Yong Yu |
| 2013 | APWEB | Aggregation-Based Probing for Large-Scale Duplicate Image Detection. | Ziming Feng, Jia Chen, Xian Wu, Yong Yu |
| 2013 | ICDE | Query optimization for differentially private data management systems. | Shangfu Peng, Yin Yang, Zhenjie Zhang, Marianne Winslett, Yong Yu |
| 2013 | ICML | General Functional Matrix Factorization Using Gradient Boosting. | Tianqi Chen, Hang Li, Qiang Yang, Yong Yu |
| 2013 | ICMV | Completeness set proof of precondition and post-condition types of activity in any EPM. | Qian Yu, Tong Li, Jinzhuo Liu, Xuan Zhang, Yong Yu |
| 2013 | RecSys | Interview process learning for top-n recommendation. | Fangwei Hu, Yong Yu |
| 2013 | RecSys | Diffusion-aware personalized social update recommendation. | Ye Pan, Feng Cong, Kailong Chen, Yong Yu |
| 2013 | RecSys | Set-oriented personalized ranking for diversified top-n recommendation. | Ruilong Su, Li'ang Yin, Kailong Chen, Yong Yu |
| 2013 | SIGIR | Optimizing top-n collaborative filtering via dynamic negative item sampling. | Weinan Zhang, Tianqi Chen, Jun Wang, Yong Yu |
| 2013 | SIGMOD | Resa: realtime elastic streaming analytics in the cloud. | Tian Tan, Richard T. B. Ma, Marianne Winslett, Yin Yang, Yong Yu, Zhenjie Zhang |
| 2012 | AAAI | Large Scale Temporal RDFS Reasoning Using MapReduce. | Chang Liu, Guilin Qi, Yong Yu |
| 2012 | AAAI | Sembler: Ensembling Crowd Sequential Labeling for Improved Quality. | Xian Wu, Wei Fan, Yong Yu |
| 2012 | APWEB | Feature Based Informative Model for Discriminating Favorite Items from Unrated Ones. | Bing Cheng, Tianqi Chen, Diyi Yang, Weinan Zhang, Yongqiang Wang, Yong Yu |
| 2012 | APWEB | Learning to Recommend Based on Slope One Strategy. | Yongqiang Wang, Li'ang Yin, Bing Cheng, Yong Yu |
| 2012 | APWEB | Collaborative Filtering via Temporal Euclidean Embedding. | Li'ang Yin, Yongqiang Wang, Yong Yu |
| 2012 | CIKM | An effective rule miner for instance matching in a web of data. | Xing Niu, Shu Rong, Haofen Wang, Yong Yu |
| 2012 | ICRA | Design optimization for parallel mechanism using on human hip joint power assisting based on manipulability inclusive principle. | Yong Yu, Wenyuan Liang |
| 2012 | KDD | Joint optimization of bid and budget allocation in sponsored search. | Weinan Zhang, Ying Zhang, Bin Gao, Yong Yu, Xiaojie Yuan, Tie-Yan Liu |
| 2012 | RecSys | Local implicit feedback mining for music recommendation. | Diyi Yang, Tianqi Chen, Weinan Zhang, Qiuxia Lu, Yong Yu |
| 2012 | RecSys | A semantic approach to recommending text advertisements for images. | Weinan Zhang, Li Tian, Xinruo Sun, Haofen Wang, Yong Yu |
| 2012 | WWW | News comments generation via mining microblogs. | Xuezhi Cao, Kailong Chen, Rui Long, Guoqing Zheng, Yong Yu |
| 2012 | WWW | A framework to represent and mine knowledge evolution from Wikipedia revisions. | Xian Wu, Wei Fan, Meilun Sheng, Li Zhang, Xiaoxiao Shi, Zhong Su, Yong Yu |
| 2012 | SIGIR | Collaborative personalized tweet recommendation. | Kailong Chen, Tianqi Chen, Guoqing Zheng, Ou Jin, Enpeng Yao, Yong Yu |
| 2012 | SIGIR | Finding web appearances of social network users via latent factor model. | Kailong Chen, Zhengdong Lu, Xiaoshi Yin, Yong Yu, Zaiqing Nie |
| 2012 | SIGIR | Collaborative filtering with short term preferences mining. | Diyi Yang, Tianqi Chen, Weinan Zhang, Yong Yu |
| 2012 | SIGMOD | DP-tree: indexing multi-dimensional data under differential privacy (abstract only). | Shangfu Peng, Yin Yang, Zhenjie Zhang, Marianne Winslett, Yong Yu |
| 2011 | AAAI | Analyzing and Predicting Not-Answered Questions in Community-based Question Answering Services. | Lichun Yang, Shenghua Bao, Qingliang Lin, Xian Wu, Dingyi Han, Zhong Su, Yong Yu |
| 2011 | AAAI | Heterogeneous Transfer Learning for Image Classification. | Yin Zhu, Yuqiang Chen, Zhongqi Lu, Sinno Jialin Pan, Gui-Rong Xue, Yong Yu, Qiang Yang |
| 2011 | CIKM | Transferring topical knowledge from auxiliary long texts for short text clustering. | Ou Jin, Nathan Nan Liu, Kai Zhao, Yong Yu, Qiang Yang |
| 2011 | ICMLC | Intelligent time series fast forecasting for fashion sales: A research agenda. | Tsan-Ming Choi, Chi-Leung Hui, Yong Yu |
| 2011 | IJCAI | Leveraging Unlabeled Data to Scale Blocking for Record Linkage. | Yunbo Cao, Zhiyuan Chen, Jiamin Zhu, Pei Yue, Chin-Yew Lin, Yong Yu |
| 2011 | KDD | Prominent streak discovery in sequence data. | Xiao Jiang, Chengkai Li, Ping Luo, Min Wang, Yong Yu |
| 2011 | NLDB | Graph-Based Bilingual Sentence Alignment from Large Scale Web Pages. | Yihe Zhu, Haofen Wang, Xixiu Ouyang, Yong Yu |
| 2011 | PAKDD | Cross-Lingual Sentiment Classification via Bi-view Non-negative Matrix Tri-Factorization. | Junfeng Pan, Gui-Rong Xue, Yong Yu, Yang Wang |
| 2011 | WWW | Video summarization via transferrable structured learning. | Liangda Li, Ke Zhou, Gui-Rong Xue, Hongyuan Zha, Yong Yu |
| 2011 | SIGIR | Diversifying product search results. | Xiangru Chen, Haofen Wang, Xinruo Sun, Junfeng Pan, Yong Yu |
| 2011 | SIGIR | Tulsa: web search for writing assistance. | Duo Ding, Xingping Jiang, Matthew R. Scott, Ming Zhou, Yong Yu |
| 2011 | SIGIR | Towards effective short text deep classification. | Xinruo Sun, Haofen Wang, Yong Yu |
| 2011 | SIGIR | Mining topics on participations for community discovery. | Guoqing Zheng, Jinwen Guo, Lichun Yang, Shengliang Xu, Shenghua Bao, Zhong Su, Dingyi Han, Yong Yu |
| 2010 | ADMA | Predicting Product Duration for Adaptive Advertisement. | Zhongqi Guo, Yongqiang Wang, Gui-Rong Xue, Yong Yu |
| 2010 | ADMA | Click Prediction for Product Search on C2C Web Sites. | Xiangzhi Wang, Chunyang Liu, Gui-Rong Xue, Yong Yu |
| 2010 | APSCC | A Synthetical Performance Evaluation of OpenVZ, Xen and KVM. | Jianhua Che, Congcong Shi, Yong Yu, Weimin Lin |
| 2010 | APWEB | Text-Aided Image Classification: Using Labeled Text from Web to Help Image Classification. | Yuan Lin, Yuqiang Chen, Gui-Rong Xue, Yong Yu |
| 2010 | CIKM | A topical link model for community discovery in textual interaction graph. | Guoqing Zheng, Jinwen Guo, Lichun Yang, Shengliang Xu, Shenghua Bao, Zhong Su, Dingyi Han, Yong Yu |
| 2010 | ICML | Robust Subspace Segmentation by Low-Rank Representation. | Guangcan Liu, Zhouchen Lin, Yong Yu |
| 2010 | ICNC | The self-organizing map and fuzzy control for sensorless induction motor speed control. | Rongfeng Yang, Gaolin Wang, Yong Yu, Dianguo Xu |
| 2010 | IROS | Micro/nano displacement sensor for piezoelectric actuator with multi-stage expansion mechanism. | Yong Yu, Bo Song, Renbing Chen, YunJian Ge |
| 2010 | WWW | ZoomRDF: semantic fisheye zooming on RDF data. | Kang Zhang, Haofen Wang, Duc Thanh Tran, Yong Yu |
| 2010 | WISE | Effective and Efficient Keyword Query Interpretation Using a Hybrid Graph. | Junquan Chen, Kaifeng Xu, Haofen Wang, Wei Jin, Yong Yu |
| 2009 | ACL | Heterogeneous Transfer Learning for Image Clustering via the SocialWeb. | Qiang Yang, Yuqiang Chen, Gui-Rong Xue, Wenyuan Dai, Yong Yu |
| 2009 | CIKM | A study of information retrieval on accumulative social descriptions using the generation features. | Lichun Yang, Shengliang Xu, Shenghua Bao, Dingyi Han, Zhong Su, Yong Yu |
| 2009 | CIKM | sDoc: exploring social wisdom for document enhancement in web mining. | Xiaoxun Zhang, Lichun Yang, Xian Wu, Honglei Guo, Zhili Guo, Shenghua Bao, Yong Yu, Zhong Su |
| 2009 | CISIS | Efficient Task Allocation Method to Improve Network Processor Throughput. | Yong Yu, Zhihang Yu, Feilong Tang, Minyi Guo |
| 2009 | CISIS | A Register Framework for Network Processors with Banked Register File. | Zhihang Yu, Yong Yu, Feilong Tang, Minyi Guo |
| 2009 | ICDM | Joint Emotion-Topic Modeling for Social Affective Text Mining. | Shenghua Bao, Shengliang Xu, Li Zhang, Rong Yan, Zhong Su, Dingyi Han, Yong Yu |
| 2009 | ICML | EigenTransfer: a unified framework for transfer learning. | Wenyuan Dai, Ou Jin, Gui-Rong Xue, Qiang Yang, Yong Yu |
| 2009 | IROS | Research of 3-DOF active rotational ball joint. | Yong Yu, Yoshitaka Narita, Yoshinori Harada, Toshimi Nakao |
| 2009 | IROS | Development of micro/nano displacement sensor for piezoelectric actuator. | Yong Yu, Bo Song, YunJian Ge |
| 2009 | WWW | Enhancing diversity, coverage and balance for summarization through structure learning. | Liangda Li, Ke Zhou, Gui-Rong Xue, Hongyuan Zha, Yong Yu |
| 2009 | WWW | Dataplorer: a scalable search engine for the data web. | Haofen Wang, Qiaoling Liu, Gui-Rong Xue, Yong Yu, Lei Zhang, Yue Pan |
| 2009 | WWW | Web-scale classification with naive bayes. | Congle Zhang, Gui-Rong Xue, Yong Yu, Hongyuan Zha |
| 2009 | SIGIR | Efficient query expansion for advertisement search. | Haofen Wang, Yan Liang, Linyun Fu, Gui-Rong Xue, Yong Yu |
| 2009 | SIGMOD | Hermes: a travel through semantics on the data web. | Haofen Wang, Thomas Penin, Kaifeng Xu, Junquan Chen, Xinruo Sun, Linyun Fu, Qiaoling Liu, Yong Yu, Thanh Tran, Peter Haase, Rudi Studer |
| 2008 | ACL | A Probabilistic Model for Fine-Grained Expert Search. | Shenghua Bao, Huizhong Duan, Qi Zhou, Miao Xiong, Yunbo Cao, Yong Yu |
| 2008 | ACL | Searching Questions by Identifying Question Topic and Question Focus. | Huizhong Duan, Yunbo Cao, Chin-Yew Lin, Yong Yu |
| 2008 | ADMA | Iterative Reinforcement Cross-Domain Text Classification. | Di Zhang, Gui-Rong Xue, Yong Yu |
| 2008 | CIKM | Boosting social annotations using propagation. | Shenghua Bao, Bohai Yang, Ben Fei, Shengliang Xu, Zhong Su, Yong Yu |
| 2008 | CIKM | Tapping on the potential of q&a community by recommending answer providers. | Jinwen Guo, Shengliang Xu, Shenghua Bao, Yong Yu |
| 2008 | COLING | Understanding and Summarizing Answers in Community-Based Question Answering Services. | Yuanjie Liu, Shasha Li, Yunbo Cao, Chin-Yew Lin, Dingyi Han, Yong Yu |
| 2008 | DASFAA | Knowledge Transferring Via Implicit Link Analysis. | Xiao Ling, Wenyuan Dai, Gui-Rong Xue, Yong Yu |
| 2008 | ECIR | Viewing Term Proximity from a Different Perspective. | Ruihua Song, Michael J. Taylor, Ji-Rong Wen, Hsiao-Wuen Hon, Yong Yu |
| 2008 | ICML | Self-taught clustering. | Wenyuan Dai, Qiang Yang, Gui-Rong Xue, Yong Yu |
| 2008 | KDD | Spectral domain-transfer learning. | Xiao Ling, Wenyuan Dai, Gui-Rong Xue, Qiang Yang, Yong Yu |
| 2008 | PAKDD | SEM: Mining Spatial Events from the Web. | Kaifeng Xu, Rui Li, Shenghua Bao, Dingyi Han, Yong Yu |
| 2008 | PAKDD | Enriching WordNet with Folksonomies. | Hao Zheng, Xian Wu, Yong Yu |
| 2008 | PRICAI | Knowledge Supervised Text Classification with No Labeled Documents. | Congle Zhang, Gui-Rong Xue, Yong Yu |
| 2008 | PRICAI | Constrained Local Regularized Transducer for Multi-Component Category Classification. | Congle Zhang, Yong Yu |
| 2008 | WWW | Recommending questions using the mdl-based tree cut model. | Yunbo Cao, Huizhong Duan, Chin-Yew Lin, Yong Yu, Hsiao-Wuen Hon |
| 2008 | WWW | Can chinese web pages be classified with english data source? | Xiao Ling, Gui-Rong Xue, Wenyuan Dai, Yun Jiang, Qiang Yang, Yong Yu |
| 2008 | WWW | Semantic Services for Wikipedia. | Haofen Wang, Thomas Penin, Linyun Fu, Qiaoling Liu, Gui-Rong Xue, Yong Yu |
| 2008 | SIGIR | Exploring folksonomy for personalized search. | Shengliang Xu, Shenghua Bao, Ben Fei, Zhong Su, Yong Yu |
| 2008 | SIGIR | Topic-bridged PLSA for cross-domain text classification. | Gui-Rong Xue, Wenyuan Dai, Qiang Yang, Yong Yu |
| 2008 | SIGIR | Deep classification in large-scale text hierarchies. | Gui-Rong Xue, Dikan Xing, Qiang Yang, Yong Yu |
| 2008 | SIGIR | Learning to rank with ties. | Ke Zhou, Gui-Rong Xue, Hongyuan Zha, Yong Yu |
| 2008 | SIGMOD | Effective and efficient semantic web data management over DB2. | Li Ma, Chen Wang, Jing Lu, Feng Cao, Yue Pan, Yong Yu |
| 2008 | WSDM | Advertising keyword suggestion based on concept hierarchy. | Yifan Chen, Gui-Rong Xue, Yong Yu |
| 2008 | WSDM | Deep classifier: automatically categorizing search results into large-scale hierarchies. | Dikan Xing, Gui-Rong Xue, Qiang Yang, Yong Yu |
| 2007 | AAAI | Transferring Naive Bayes Classifiers for Text Classification. | Wenyuan Dai, Gui-Rong Xue, Qiang Yang, Yong Yu |
| 2007 | ATC | Provably Secure Identity-Based Threshold Unsigncryption Scheme. | Bo Yang, Yong Yu, Fagen Li, Ying Sun |
| 2007 | ATC | Efficient Identity-Based Signcryption Scheme for Multiple Receivers. | Yong Yu, Bo Yang, Xinyi Huang, Mingwu Zhang |