Yu, Yong

72 publications

ECML-PKDD 2025 AdvKT: An Adversarial Multi-Step Training Framework for Knowledge Tracing Lingyue Fu, Ting Long, Jianghao Lin, Wei Xia, Xinyi Dai, Ruiming Tang, Yasheng Wang, Weinan Zhang, Yong Yu

AAAI 2025 Beyond Graph Convolution: Multimodal Recommendation with Topology-Aware MLPs Junjie Huang, Jiarui Qin, Yong Yu, Weinan Zhang

ICML 2025 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

NeurIPS 2025 Stop DDoS Attacking the Research Community with AI-Generated Survey Papers Jianghao Lin, Rong Shan, Jiachen Zhu, Yunjia Xi, Yong Yu, Weinan Zhang

NeurIPS 2024 MADiff: Offline Multi-Agent Learning with Diffusion Models Zhengbang Zhu, Minghuan Liu, Liyuan Mao, Bingyi Kang, Minkai Xu, Yong Yu, Stefano Ermon, Weinan Zhang

JMLR 2023 Adaptation Augmented Model-Based Policy Optimization Jian Shen, Hang Lai, Minghuan Liu, Han Zhao, Yong Yu, Weinan Zhang

AAAI 2023 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

NeurIPS 2023 Lending Interaction Wings to Recommender Systems with Conversational Agents Jiarui Jin, Xianyu Chen, Fanghua Ye, Mengyue Yang, Yue Feng, Weinan Zhang, Yong Yu, Jun Wang

MLOSS 2023 MALib: A Parallel Framework for Population-Based Multi-Agent Reinforcement Learning Ming Zhou, Ziyu Wan, Hanjing Wang, Muning Wen, Runzhe Wu, Ying Wen, Yaodong Yang, Yong Yu, Jun Wang, Weinan Zhang

AAAI 2023 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

ECML-PKDD 2022 Branch Ranking for Efficient Mixed-Integer Programming via Offline Ranking-Based Policy Learning Zeren Huang, Wenhao Chen, Weinan Zhang, Chuhan Shi, Furui Liu, Hui-Ling Zhen, Mingxuan Yuan, Jianye Hao, Yong Yu, Jun Wang

NeurIPS 2022 Honor of Kings Arena: An Environment for Generalization in Competitive Reinforcement Learning Hua Wei, Jingxiao Chen, Xiyang Ji, Hongyang Qin, Minwen Deng, Siqin Li, Liang Wang, Weinan Zhang, Yong Yu, Liu Linc, Lanxiao Huang, Deheng Ye, Qiang Fu, Wei Yang

ICLR 2022 Inductive Relation Prediction Using Analogy Subgraph Embeddings Jiarui Jin, Yangkun Wang, Kounianhua Du, Weinan Zhang, Zheng Zhang, David Wipf, Yong Yu, Quan Gan

AAAI 2022 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

ICML 2022 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

ICLR 2022 Why Propagate Alone? Parallel Use of Labels and Features on Graphs Yangkun Wang, Jiarui Jin, Weinan Zhang, Yang Yongyi, Jiuhai Chen, Quan Gan, Yong Yu, Zheng Zhang, Zengfeng Huang, David Wipf

ICLR 2021 MARS: Markov Molecular Sampling for Multi-Objective Drug Discovery Yutong Xie, Chence Shi, Hao Zhou, Yuwei Yang, Weinan Zhang, Yong Yu, Lei Li

IJCAI 2021 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

ECML-PKDD 2021 Model-Based Offline Policy Optimization with Distribution Correcting Regularization Jian Shen, Mingcheng Chen, Zhicheng Zhang, Zhengyu Yang, Weinan Zhang, Yong Yu

NeurIPS 2021 On Effective Scheduling of Model-Based Reinforcement Learning Hang Lai, Jian Shen, Weinan Zhang, Yimin Huang, Xing Zhang, Ruiming Tang, Yong Yu, Zhenguo Li

AAAI 2021 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

IJCAI 2020 Aggregating Crowd Wisdom with Side Information via a Clustering-Based Label-Aware Autoencoder Li'ang Yin, Yunfei Liu, Weinan Zhang, Yong Yu

ICML 2020 Bidirectional Model-Based Policy Optimization Hang Lai, Jian Shen, Weinan Zhang, Yong Yu

IJCAI 2020 DropNAS: Grouped Operation Dropout for Differentiable Architecture Search Weijun Hong, Guilin Li, Weinan Zhang, Ruiming Tang, Yunhe Wang, Zhenguo Li, Yong Yu

NeurIPS 2020 Efficient Projection-Free Algorithms for Saddle Point Problems Cheng Chen, Luo Luo, Weinan Zhang, Yong Yu

AISTATS 2020 Efficient Spectrum-Revealing CUR Matrix Decomposition Cheng Chen, Ming Gu, Zhihua Zhang, Weinan Zhang, Yong Yu

IJCAI 2020 Efficient and Robust High-Dimensional Linear Contextual Bandits Cheng Chen, Luo Luo, Weinan Zhang, Yong Yu, Yijiang Lian

ECML-PKDD 2020 GIKT: A Graph-Based Interaction Model for Knowledge Tracing Yang Yang, Jian Shen, Yanru Qu, Yunfei Liu, Kerong Wang, Yaoming Zhu, Weinan Zhang, Yong Yu

IJCAI 2020 Improving Knowledge Tracing via Pre-Training Question Embeddings Yunfei Liu, Yang Yang, Xianyu Chen, Jian Shen, Haifeng Zhang, Yong Yu

AAAI 2020 Infomax Neural Joint Source-Channel Coding via Adversarial Bit Flip Yuxuan Song, Minkai Xu, Lantao Yu, Hao Zhou, Shuo Shao, Yong Yu

NeurIPS 2020 Model-Based Policy Optimization with Unsupervised Model Adaptation Jian Shen, Han Zhao, Weinan Zhang, Yong Yu

ICLR 2020 Multi-Agent Interactions Modeling with Correlated Policies Minghuan Liu, Ming Zhou, Weinan Zhang, Yuzheng Zhuang, Jun Wang, Wulong Liu, Yong Yu

AAAI 2020 Towards Making the Most of BERT in Neural Machine Translation Jiacheng Yang, Mingxuan Wang, Hao Zhou, Chengqi Zhao, Weinan Zhang, Yong Yu, Lei Li

ICLR 2019 AdaShift: Decorrelation and Convergence of Adaptive Learning Rate Methods Zhiming Zhou, Qingru Zhang, Guansong Lu, Hongwei Wang, Weinan Zhang, Yong Yu

AAAI 2019 Deep Recurrent Survival Analysis Kan Ren, Jiarui Qin, Lei Zheng, Zhengyu Yang, Weinan Zhang, Lin Qiu, Yong Yu

AAAI 2019 Guiding the One-to-One Mapping in CycleGAN via Optimal Transport Guansong Lu, Zhiming Zhou, Yuxuan Song, Kan Ren, Yong Yu

IJCAI 2019 Hybrid Actor-Critic Reinforcement Learning in Parameterized Action Space Zhou Fan, Rui Su, Weinan Zhang, Yong Yu

AAAI 2019 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

ICML 2019 Lipschitz Generative Adversarial Nets Zhiming Zhou, Jiadong Liang, Yuxuan Song, Lantao Yu, Hongwei Wang, Weinan Zhang, Yong Yu, Zhihua Zhang

ICLR 2018 Activation Maximization Generative Adversarial Nets Zhiming Zhou, Han Cai, Shu Rong, Yuxuan Song, Kan Ren, Weinan Zhang, Jun Wang, Yong Yu

AAAI 2018 Efficient Architecture Search by Network Transformation Han Cai, Tianyao Chen, Weinan Zhang, Yong Yu, Jun Wang

IJCAI 2018 Learning to Design Games: Strategic Environments in Reinforcement Learning Haifeng Zhang, Jun Wang, Zhiming Zhou, Weinan Zhang, Yin Wen, Yong Yu, Wenxin Li

AAAI 2018 Long Text Generation via Adversarial Training with Leaked Information Jiaxian Guo, Sidi Lu, Han Cai, Weinan Zhang, Yong Yu, Jun Wang

AAAI 2018 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

AAAI 2018 Neural Link Prediction over Aligned Networks Xuezhi Cao, Haokun Chen, Xuejian Wang, Weinan Zhang, Yong Yu

ICML 2018 Path-Level Network Transformation for Efficient Architecture Search Han Cai, Jiacheng Yang, Weinan Zhang, Song Han, Yong Yu

AAAI 2018 Wasserstein Distance Guided Representation Learning for Domain Adaptation Jian Shen, Yanru Qu, Weinan Zhang, Yong Yu

IJCAI 2017 Aggregating Crowd Wisdoms with Label-Aware Autoencoders Li'ang Yin, Jianhua Han, Weinan Zhang, Yong Yu

ECML-PKDD 2017 Joint User Modeling Across Aligned Heterogeneous Sites Using Neural Networks Xuezhi Cao, Yong Yu

AAAI 2017 SeqGAN: Sequence Generative Adversarial Nets with Policy Gradient Lantao Yu, Weinan Zhang, Jun Wang, Yong Yu

ECML-PKDD 2017 Unsupervised Diverse Colorization via Generative Adversarial Networks Yun Cao, Zhiming Zhou, Weinan Zhang, Yong Yu

ECML-PKDD 2016 BASS: A Bootstrapping Approach for Aligning Heterogenous Social Networks Xuezhi Cao, Yong Yu

ECML-PKDD 2016 Functional Bid Landscape Forecasting for Display Advertising Yuchen Wang, Kan Ren, Weinan Zhang, Jun Wang, Yong Yu

ECCV 2016 Unsupervised Deep Domain Adaptation for Pedestrian Detection Lihang Liu, Weiyao Lin, Lisheng Wu, Yong Yu, Michael Ying Yang

ECCVW 2016 Unsupervised Deep Domain Adaptation for Pedestrian Detection Lihang Liu, Weiyao Lin, Lisheng Wu, Yong Yu, Michael Ying Yang

AAAI 2014 Learning Word Representation Considering Proximity and Ambiguity Lin Qiu, Yong Cao, Zaiqing Nie, Yong Yu, Yong Rui

ECML-PKDD 2013 Detecting Marionette Microblog Users for Improved Information Credibility Xian Wu, Ziming Feng, Wei Fan, Jing Gao, Yong Yu

ICML 2013 General Functional Matrix Factorization Using Gradient Boosting Tianqi Chen, Hang Li, Qiang Yang, Yong Yu

ECML-PKDD 2012 Discriminative Factor Alignment Across Heterogeneous Feature Space Fangwei Hu, Tianqi Chen, Nathan Nan Liu, Qiang Yang, Yong Yu

AAAI 2012 Large Scale Temporal RDFS Reasoning Using MapReduce Chang Liu, Guilin Qi, Yong Yu

MLOSS 2012 SVDFeature: A Toolkit for Feature-Based Collaborative Filtering Tianqi Chen, Weinan Zhang, Qiuxia Lu, Kailong Chen, Zhao Zheng, Yong Yu

AAAI 2012 Sembler: Ensembling Crowd Sequential Labeling for Improved Quality Xian Wu, Wei Fan, Yong Yu

AAAI 2011 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

AAAI 2011 Heterogeneous Transfer Learning for Image Classification Yin Zhu, Yuqiang Chen, Zhongqi Lu, Sinno Jialin Pan, Gui-Rong Xue, Yong Yu, Qiang Yang

IJCAI 2011 Leveraging Unlabeled Data to Scale Blocking for Record Linkage Yunbo Cao, Zhiyuan Chen, Jiamin Zhu, Pei Yue, Chin-Yew Lin, Yong Yu

ICML 2010 Robust Subspace Segmentation by Low-Rank Representation Guangcan Liu, Zhouchen Lin, Yong Yu

ICML 2009 EigenTransfer: A Unified Framework for Transfer Learning Wenyuan Dai, Ou Jin, Gui-Rong Xue, Qiang Yang, Yong Yu

ICML 2008 Self-Taught Clustering Wenyuan Dai, Qiang Yang, Gui-Rong Xue, Yong Yu

NeurIPS 2008 Translated Learning: Transfer Learning Across Different Feature Spaces Wenyuan Dai, Yuqiang Chen, Gui-rong Xue, Qiang Yang, Yong Yu

ICML 2007 Boosting for Transfer Learning Wenyuan Dai, Qiang Yang, Gui-Rong Xue, Yong Yu

AAAI 2007 Transferring Naive Bayes Classifiers for Text Classification Wenyuan Dai, Gui-Rong Xue, Qiang Yang, Yong Yu

AAAI 2005 A Learning-Based Term-Weighting Approach for Information Retrieval Guangcan Liu, Yong Yu, Xing Zhu