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ORCIDYong Yu 0001
俞勇
Person information
- unicode name: 俞勇
- affiliation: Shanghai Jiao Tong University, Department of Computer Science, Apex Data and Knowledge Management Lab, China
Other persons with the same name
- Yong Yu — disambiguation page
- Yong Yu 0002
![[0000-0003-0667-077X]](https://dblp.org/img/orcid-mark.12x12.png "0000-0003-0667-077X")
— Shaanxi Normal University, School of Computer Science, Xi'an, China (and 3 more) - Yong Yu 0003 — Kagoshima University, Department of Mechanical Engineering, Japan (and 2 more)
- Yong Yu 0004 — University of Houston, Department of Physics, TX, USA
- Yong Yu 0005 — Broadcom Corporation, Andover, MA, USA (and 1 more)
- Yong Yu 0006 — Ecole Normale Supérieure de Cachan, France (and 1 more)
- Yong Yu 0007 — Harbin Institute of Technology, School of Electrical Engineering and Automation, China
- Yong Yu 0008 — Hong Kong Polytechnic University, Business Division, Institute of Textiles and Clothing, Hong Kong
- Yong Yu 0009 — Yunnan University, School of Software, Kunming, China
- Yong Yu 0010 — Beihang University, School of Mechanical Engineering and Automation, Beijing, China
- Yong Yu 0011 — Chinese Academy of Sciences, Suzhou Institute of Biomedical Engineering and Technology, China
- Yong Yu 0012 — Chinese University of Hong Kong, Department of Mathematics, Hong Kong
- Yong Yu 0013 — Xi'an Research Institute of High-Tech, Department of Automation, China (and 1 more)
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2020 – today
- 2022
[j54]Xin Wu, Qing Liu, Jiarui Qin, Yong Yu:
PeerRank: Robust Learning to Rank With Peer Loss Over Noisy Labels. IEEE Access 10: 6830-6841 (2022)- [j53]Zeren Huang, Kerong Wang, Furui Liu, Hui-Ling Zhen, Weinan Zhang, Mingxuan Yuan, Jianye Hao, Yong Yu, Jun Wang:
Learning to select cuts for efficient mixed-integer programming. Pattern Recognit. 123: 108353 (2022) - [j52]Zheyi Pan, Wentao Zhang, Yuxuan Liang, Weinan Zhang, Yong Yu, Junbo Zhang, Yu Zheng:
Spatio-Temporal Meta Learning for Urban Traffic Prediction. IEEE Trans. Knowl. Data Eng. 34(3): 1462-1476 (2022) - [j51]Xinyi Dai, Yunjia Xi, Weinan Zhang, Qing Liu, Ruiming Tang, Xiuqiang He, Jiawei Hou, Jun Wang, Yong Yu:
Beyond Relevance Ranking: A General Graph Matching Framework for Utility-Oriented Learning to Rank. ACM Trans. Inf. Syst. 40(2): 25:1-25:29 (2022) - [j50]Jiarui Jin, Kounianhua Du, Weinan Zhang, Jiarui Qin, Yuchen Fang, Yong Yu, Zheng Zhang, Alexander J. Smola:
GraphHINGE: Learning Interaction Models of Structured Neighborhood on Heterogeneous Information Network. ACM Trans. Inf. Syst. 40(3): 45:1-45:35 (2022) - [c319]Juncheng Wan, Dongyu Ru, Weinan Zhang, Yong Yu:
Nested Named Entity Recognition with Span-level Graphs. ACL (1) 2022: 892-903 - [c318]Ting Long, Jiarui Qin, Jian Shen, Weinan Zhang, Wei Xia, Ruiming Tang, Xiuqiang He, Yong Yu:
Improving Knowledge Tracing with Collaborative Information. WSDM 2022: 599-607 - [c317]Jiarui Jin, Xianyu Chen, Weinan Zhang, Junjie Huang, Ziming Feng, Yong Yu:
Learn over Past, Evolve for Future: Search-based Time-aware Recommendation with Sequential Behavior Data. WWW 2022: 2451-2461 - [c316]Jiarui Jin, Xianyu Chen, Yuanbo Chen, Weinan Zhang, Renting Rui, Zaifan Jiang, Zhewen Su, Yong Yu:
Who to Watch Next: Two-side Interactive Networks for Live Broadcast Recommendation. WWW 2022: 3206-3216 - [i96]Juncheng Wan, Jian Yang, Shuming Ma, Dongdong Zhang, Weinan Zhang, Yong Yu, Furu Wei:
Phrase-level Adversarial Example Generation for Neural Machine Translation. CoRR abs/2201.02009 (2022) - [i95]Weijun Hong, Guilin Li, Weinan Zhang, Ruiming Tang, Yunhe Wang, Zhenguo Li, Yong Yu:
DropNAS: Grouped Operation Dropout for Differentiable Architecture Search. CoRR abs/2201.11679 (2022) - [i94]Weijun Hong, Menghui Zhu, Minghuan Liu, Weinan Zhang, Ming Zhou, Yong Yu, Peng Sun:
Generative Adversarial Exploration for Reinforcement Learning. CoRR abs/2201.11685 (2022) - [i93]Ming Zhou, Jingxiao Chen, Ying Wen, Weinan Zhang, Yaodong Yang, Yong Yu:
Efficient Policy Space Response Oracles. CoRR abs/2202.00633 (2022) - [i92]Jiarui Jin, Xianyu Chen, Weinan Zhang, Junjie Huang, Ziming Feng, Yong Yu:
Learn over Past, Evolve for Future: Search-based Time-aware Recommendation with Sequential Behavior Data. CoRR abs/2202.03097 (2022) - [i91]Jiarui Jin, Xianyu Chen, Yuanbo Chen, Weinan Zhang, Renting Rui, Zaifan Jiang, Zhewen Su, Yong Yu:
Who to Watch Next: Two-side Interactive Networks for Live Broadcast Recommendation. CoRR abs/2202.04333 (2022) - [i90]Ting Long, Yutong Xie, Xianyu Chen, Weinan Zhang, Qinxiang Cao, Yong Yu:
Multi-View Graph Representation for Programming Language Processing: An Investigation into Algorithm Detection. CoRR abs/2202.12481 (2022) - [i89]Minghuan Liu, Zhengbang Zhu, Yuzheng Zhuang, Weinan Zhang, Jianye Hao, Yong Yu, Jun Wang:
Plan Your Target and Learn Your Skills: Transferable State-Only Imitation Learning via Decoupled Policy Optimization. CoRR abs/2203.02214 (2022) - [i88]Yunjia Xi, Weiwen Liu, Jieming Zhu, Xilong Zhao, Xinyi Dai, Ruiming Tang, Weinan Zhang, Rui Zhang, Yong Yu:
Multi-Level Interaction Reranking with User Behavior History. CoRR abs/2204.09370 (2022) - [i87]Lingyue Fu, Jianghao Lin, Weiwen Liu, Ruiming Tang, Weinan Zhang, Rui Zhang, Yong Yu:
An F-shape Click Model for Information Retrieval on Multi-block Mobile Pages. CoRR abs/2206.08604 (2022) - [i86]Jianghao Lin, Weiwen Liu, Xinyi Dai, Weinan Zhang, Shuai Li, Ruiming Tang, Xiuqiang He, Jianye Hao, Yong Yu:
A Graph-Enhanced Click Model for Web Search. CoRR abs/2206.08621 (2022) - 2021
- [j49]Handong Ma, Jiawei Hou, Chenxu Zhu, Weinan Zhang, Ruiming Tang, Jincai Lai, Jieming Zhu, Xiuqiang He, Yong Yu:
QA4PRF: A Question Answering Based Framework for Pseudo Relevance Feedback. IEEE Access 9: 139303-139314 (2021) - [c315]Yuchen Fang, Kan Ren, Weiqing Liu, Dong Zhou, Weinan Zhang, Jiang Bian, Yong Yu, Tie-Yan Liu:
Universal Trading for Order Execution with Oracle Policy Distillation. AAAI 2021: 107-115 - [c314]Lihua Qian, Hao Zhou, Yu Bao, Mingxuan Wang, Lin Qiu, Weinan Zhang, Yong Yu, Lei Li:
Glancing Transformer for Non-Autoregressive Neural Machine Translation. ACL/IJCNLP (1) 2021: 1993-2003 - [c313]Liheng Chen, Hongyi Guo, Yali Du, Fei Fang, Haifeng Zhang, Weinan Zhang, Yong Yu:
Signal Instructed Coordination in Cooperative Multi-agent Reinforcement Learning. DAI 2021: 185-205 - [c312]Dongyu Ru, Changzhi Sun, Jiangtao Feng, Lin Qiu, Hao Zhou, Weinan Zhang, Yong Yu, Lei Li:
Learning Logic Rules for Document-Level Relation Extraction. EMNLP (1) 2021: 1239-1250 - [c311]Yutong Xie, Chence Shi, Hao Zhou, Yuwei Yang, Weinan Zhang, Yong Yu, Lei Li:
MARS: Markov Molecular Sampling for Multi-objective Drug Discovery. ICLR 2021 - [c310]Menghui Zhu, Minghuan Liu, Jian Shen, Zhicheng Zhang, Sheng Chen, Weinan Zhang, Deheng Ye, Yong Yu, Qiang Fu, Wei Yang:
MapGo: Model-Assisted Policy Optimization for Goal-Oriented Tasks. IJCAI 2021: 3484-3491 - [c309]Jiarui Qin, Weinan Zhang, Rong Su, Zhirong Liu, Weiwen Liu, Ruiming Tang, Xiuqiang He, Yong Yu:
Retrieval & Interaction Machine for Tabular Data Prediction. KDD 2021: 1379-1389 - [c308]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:
Task-wise Split Gradient Boosting Trees for Multi-center Diabetes Prediction. KDD 2021: 2663-2673 - [c307]Yunfeng Lin, Guilin Li, Xing Zhang, Weinan Zhang, Bo Chen, Ruiming Tang, Zhenguo Li, Jiashi Feng, Yong Yu:
ModularNAS: Towards Modularized and Reusable Neural Architecture Search. MLSys 2021 - [c306]Hang Lai, Jian Shen, Weinan Zhang, Yimin Huang, Xing Zhang, Ruiming Tang, Yong Yu, Zhenguo Li:
On Effective Scheduling of Model-based Reinforcement Learning. NeurIPS 2021: 3694-3705 - [c305]Jian Yang, Juncheng Wan, Shuming Ma, Haoyang Huang, Dongdong Zhang, Yong Yu, Zhoujun Li, Furu Wei:
Learning to Select Relevant Knowledge for Neural Machine Translation. NLPCC (1) 2021: 79-91 - [c304]Jian Shen, Mingcheng Chen, Zhicheng Zhang, Zhengyu Yang, Weinan Zhang, Yong Yu:
Model-Based Offline Policy Optimization with Distribution Correcting Regularization. ECML/PKDD (1) 2021: 174-189 - [c303]Ting Long, Yunfei Liu, Jian Shen, Weinan Zhang, Yong Yu:
Tracing Knowledge State with Individual Cognition and Acquisition Estimation. SIGIR 2021: 173-182 - [c302]Jianghao Lin, Weiwen Liu, Xinyi Dai, Weinan Zhang, Shuai Li, Ruiming Tang, Xiuqiang He, Jianye Hao, Yong Yu:
A Graph-Enhanced Click Model for Web Search. SIGIR 2021: 1259-1268 - [c301]Xinyi Dai, Jianghao Lin, Weinan Zhang, Shuai Li, Weiwen Liu, Ruiming Tang, Xiuqiang He, Jianye Hao, Jun Wang, Yong Yu:
An Adversarial Imitation Click Model for Information Retrieval. WWW 2021: 1809-1820 - [c300]Zheyi Pan, Songyu Ke, Xiaodu Yang, Yuxuan Liang, Yong Yu, Junbo Zhang, Yu Zheng:
AutoSTG: Neural Architecture Search for Predictions of Spatio-Temporal Graph✱. WWW 2021: 1846-1855 - [i85]Yutong Xie, Chence Shi, Hao Zhou, Yuwei Yang, Weinan Zhang, Yong Yu, Lei Li:
MARS: Markov Molecular Sampling for Multi-objective Drug Discovery. CoRR abs/2103.10432 (2021) - [i84]Yuchen Fang, Kan Ren, Weiqing Liu, Dong Zhou, Weinan Zhang, Jiang Bian, Yong Yu, Tie-Yan Liu:
Universal Trading for Order Execution with Oracle Policy Distillation. CoRR abs/2103.10860 (2021) - [i83]Xinyi Dai, Jianghao Lin, Weinan Zhang, Shuai Li, Weiwen Liu, Ruiming Tang, Xiuqiang He, Jianye Hao, Jun Wang, Yong Yu:
An Adversarial Imitation Click Model for Information Retrieval. CoRR abs/2104.06077 (2021) - [i82]Menghui Zhu, Minghuan Liu, Jian Shen, Zhicheng Zhang, Sheng Chen, Weinan Zhang, Deheng Ye, Yong Yu, Qiang Fu, Wei Yang:
MapGo: Model-Assisted Policy Optimization for Goal-Oriented Tasks. CoRR abs/2105.06350 (2021) - [i81]Zeren Huang, Kerong Wang, Furui Liu, Hui-Ling Zhen, Weinan Zhang, Mingxuan Yuan, Jianye Hao, Yong Yu, Jun Wang:
Learning to Select Cuts for Efficient Mixed-Integer Programming. CoRR abs/2105.13645 (2021) - [i80]Jiarui Qin, Weinan Zhang, Rong Su, Zhirong Liu, Weiwen Liu, Ruiming Tang, Xiuqiang He, Yong Yu:
Retrieval & Interaction Machine for Tabular Data Prediction. CoRR abs/2108.05252 (2021) - [i79]Mingcheng Chen, Zhenghui Wang, Zhiyun Zhao, Weinan Zhang, Xiawei Guo, Jian Shen, Yanru Qu, Jieli Lu, Min Xu, Yu Xu, Tiange Wang, Mian Li, Wei-Wei Tu, Yong Yu, Yufang Bi, Weiqing Wang, Guang Ning:
Task-wise Split Gradient Boosting Trees for Multi-center Diabetes Prediction. CoRR abs/2108.07107 (2021) - [i78]Yangkun Wang, Jiarui Jin, Weinan Zhang, Yongyi Yang, Jiuhai Chen, Quan Gan, Yong Yu, Zheng Zhang, Zengfeng Huang, David Wipf:
Why Propagate Alone? Parallel Use of Labels and Features on Graphs. CoRR abs/2110.07190 (2021) - [i77]Yunjia Xi, Weiwen Liu, Xinyi Dai, Ruiming Tang, Weinan Zhang, Qing Liu, Xiuqiang He, Yong Yu:
Context-aware Reranking with Utility Maximization for Recommendation. CoRR abs/2110.09059 (2021) - [i76]Chenxu Zhu, Bo Chen, Weinan Zhang, Jincai Lai, Ruiming Tang, Xiuqiang He, Zhenguo Li, Yong Yu:
AIM: Automatic Interaction Machine for Click-Through Rate Prediction. CoRR abs/2111.03318 (2021) - [i75]Dongyu Ru, Changzhi Sun, Jiangtao Feng, Lin Qiu, Hao Zhou, Weinan Zhang, Yong Yu, Lei Li:
Learning Logic Rules for Document-level Relation Extraction. CoRR abs/2111.05407 (2021) - [i74]Handong Ma, Jiawei Hou, Chenxu Zhu, Weinan Zhang, Ruiming Tang, Jincai Lai, Jieming Zhu, Xiuqiang He, Yong Yu:
QA4PRF: A Question Answering based Framework for Pseudo Relevance Feedback. CoRR abs/2111.08229 (2021) - [i73]Hang Lai, Jian Shen, Weinan Zhang, Yimin Huang, Xing Zhang, Ruiming Tang, Yong Yu, Zhenguo Li:
On Effective Scheduling of Model-based Reinforcement Learning. CoRR abs/2111.08550 (2021) - 2020
- [j48]Li'ang Yin, Yunfei Liu, Weinan Zhang, Yong Yu:
Truth Inference With a Deep Clustering-Based Aggregation Model. IEEE Access 8: 16662-16675 (2020) - [j47]Shuhao Liu, Yong Yu:
Bid-Aware Active Learning in Real-Time Bidding for Display Advertising. IEEE Access 8: 26561-26572 (2020) - [j46]Lin Qiu, Dongyu Ru, Quanyu Long, Weinan Zhang, Yong Yu:
QA4IE: A Question Answering Based System for Document-Level General Information Extraction. IEEE Access 8: 29677-29689 (2020) - [j45]Guoxin Sui, Yong Yu:
Bayesian Contextual Bandits for Hyper Parameter Optimization. IEEE Access 8: 42971-42979 (2020) - [j44]Huichu Zhang, Markos Kafouros, Yong Yu:
PlanLight: Learning to Optimize Traffic Signal Control With Planning and Iterative Policy Improvement. IEEE Access 8: 219244-219255 (2020) - [c299]Yuxuan Song, Minkai Xu, Lantao Yu, Hao Zhou, Shuo Shao, Yong Yu:
Infomax Neural Joint Source-Channel Coding via Adversarial Bit Flip. AAAI 2020: 5834-5841 - [c298]Jiacheng Yang, Mingxuan Wang, Hao Zhou, Chengqi Zhao, Weinan Zhang, Yong Yu, Lei Li:
Towards Making the Most of BERT in Neural Machine Translation. AAAI 2020: 9378-9385 - [c297]Cheng Chen, Ming Gu, Zhihua Zhang, Weinan Zhang, Yong Yu:
Efficient Spectrum-Revealing CUR Matrix Decomposition. AISTATS 2020: 766-775 - [c296]Huichu Zhang, Chang Liu, Weinan Zhang, Guanjie Zheng, Yong Yu:
GeneraLight: Improving Environment Generalization of Traffic Signal Control via Meta Reinforcement Learning. CIKM 2020: 1783-1792 - [c295]Xinyi Dai, Jiawei Hou, Qing Liu, Yunjia Xi, Ruiming Tang, Weinan Zhang, Xiuqiang He, Jun Wang, Yong Yu:
U-rank: Utility-oriented Learning to Rank with Implicit Feedback. CIKM 2020: 2373-2380 - [c294]Yuxuan Song, Lantao Yu, Zhangjie Cao, Zhiming Zhou, Jian Shen, Shuo Shao, Weinan Zhang, Yong Yu:
Improving Unsupervised Domain Adaptation with Variational Information Bottleneck. ECAI 2020: 1499-1506 - [c293]Dongyu Ru, Jiangtao Feng, Lin Qiu, Hao Zhou, Mingxuan Wang, Weinan Zhang, Yong Yu, Lei Li:
Active Sentence Learning by Adversarial Uncertainty Sampling in Discrete Space. EMNLP (Findings) 2020: 4908-4917 - [c292]Minghuan Liu, Ming Zhou, Weinan Zhang, Yuzheng Zhuang, Jun Wang, Wulong Liu, Yong Yu:
Multi-Agent Interactions Modeling with Correlated Policies. ICLR 2020 - [c291]Hang Lai, Jian Shen, Weinan Zhang, Yong Yu:
Bidirectional Model-based Policy Optimization. ICML 2020: 5618-5627 - [c290]Li'ang Yin, Yunfei Liu, Weinan Zhang, Yong Yu:
Aggregating Crowd Wisdom with Side Information via a Clustering-based Label-aware Autoencoder. IJCAI 2020: 1542-1548 - [c289]Yunfei Liu, Yang Yang, Xianyu Chen, Jian Shen, Haifeng Zhang, Yong Yu:
Improving Knowledge Tracing via Pre-training Question Embeddings. IJCAI 2020: 1577-1583 - [c288]Weijun Hong, Guilin Li, Weinan Zhang, Ruiming Tang, Yunhe Wang, Zhenguo Li, Yong Yu:
DropNAS: Grouped Operation Dropout for Differentiable Architecture Search. IJCAI 2020: 2326-2332 - [c287]Cheng Chen, Luo Luo, Weinan Zhang, Yong Yu, Yijiang Lian:
Efficient and Robust High-Dimensional Linear Contextual Bandits. IJCAI 2020: 4259-4265 - [c286]Jiarui Jin, Jiarui Qin, Yuchen Fang, Kounianhua Du, Weinan Zhang, Yong Yu, Zheng Zhang, Alexander J. Smola:
An Efficient Neighborhood-based Interaction Model for Recommendation on Heterogeneous Graph. KDD 2020: 75-84 - [c285]Bin Liu, Chenxu Zhu, Guilin Li, Weinan Zhang, Jincai Lai, Ruiming Tang, Xiuqiang He, Zhenguo Li, Yong Yu:
AutoFIS: Automatic Feature Interaction Selection in Factorization Models for Click-Through Rate Prediction. KDD 2020: 2636-2645 - [c284]Jian Shen, Han Zhao, Weinan Zhang, Yong Yu:
Model-based Policy Optimization with Unsupervised Model Adaptation. NeurIPS 2020 - [c283]Cheng Chen, Luo Luo, Weinan Zhang, Yong Yu:
Efficient Projection-free Algorithms for Saddle Point Problems. NeurIPS 2020 - [c282]Yang Yang, Jian Shen, Yanru Qu, Yunfei Liu, Kerong Wang, Yaoming Zhu, Weinan Zhang, Yong Yu:
GIKT: A Graph-Based Interaction Model for Knowledge Tracing. ECML/PKDD (1) 2020: 299-315 - [c281]Jiarui Jin, Yuchen Fang, Weinan Zhang, Kan Ren, Guorui Zhou, Jian Xu, Yong Yu, Jun Wang, Xiaoqiang Zhu, Kun Gai:
A Deep Recurrent Survival Model for Unbiased Ranking. SIGIR 2020: 29-38 - [c280]Sijin Zhou, Xinyi Dai, Haokun Chen, Weinan Zhang, Kan Ren, Ruiming Tang, Xiuqiang He, Yong Yu:
Interactive Recommender System via Knowledge Graph-enhanced Reinforcement Learning. SIGIR 2020: 179-188 - [c279]Zhengyu Yang, Jian Shen, Yunfei Liu, Yang Yang, Weinan Zhang, Yong Yu:
TADS: Learning Time-Aware Scheduling Policy with Dyna-Style Planning for Spaced Repetition. SIGIR 2020: 1917-1920 - [c278]Dongyu Ru, Zhenghui Wang, Lin Qiu, Hao Zhou, Lei Li, Weinan Zhang, Yong Yu:
QuAChIE: Question Answering based Chinese Information Extraction System. SIGIR 2020: 2177-2180 - [c277]Jiarui Qin, Weinan Zhang, Xin Wu, Jiarui Jin, Yuchen Fang, Yong Yu:
User Behavior Retrieval for Click-Through Rate Prediction. SIGIR 2020: 2347-2356 - [c276]Jiarui Qin, Kan Ren, Yuchen Fang, Weinan Zhang, Yong Yu:
Sequential Recommendation with Dual Side Neighbor-based Collaborative Relation Modeling. WSDM 2020: 465-473 - [i72]Minghuan Liu, Ming Zhou, Weinan Zhang, Yuzheng Zhuang, Jun Wang, Wulong Liu, Yong Yu:
Multi-Agent Interactions Modeling with Correlated Policies. CoRR abs/2001.03415 (2020) - [i71]Guansong Lu, Zhiming Zhou, Jian Shen, Cheng Chen, Weinan Zhang, Yong Yu:
Large-Scale Optimal Transport via Adversarial Training with Cycle-Consistency. CoRR abs/2003.06635 (2020) - [i70]Bin Liu, Chenxu Zhu, Guilin Li, Weinan Zhang, Jincai Lai, Ruiming Tang, Xiuqiang He, Zhenguo Li, Yong Yu:
AutoFIS: Automatic Feature Interaction Selection in Factorization Models for Click-Through Rate Prediction. CoRR abs/2003.11235 (2020) - [i69]Yuxuan Song, Minkai Xu, Lantao Yu, Hao Zhou, Shuo Shao, Yong Yu:
Infomax Neural Joint Source-Channel Coding via Adversarial Bit Flip. CoRR abs/2004.01454 (2020) - [i68]Dongyu Ru, Yating Luo, Lin Qiu, Hao Zhou, Lei Li, Weinan Zhang, Yong Yu:
Active Sentence Learning by Adversarial Uncertainty Sampling in Discrete Space. CoRR abs/2004.08046 (2020) - [i67]Jiarui Jin, Yuchen Fang, Weinan Zhang, Kan Ren, Guorui Zhou, Jian Xu, Yong Yu, Jun Wang, Xiaoqiang Zhu, Kun Gai:
A Deep Recurrent Survival Model for Unbiased Ranking. CoRR abs/2004.14714 (2020) - [i66]Jiarui Qin, Weinan Zhang, Xin Wu, Jiarui Jin, Yuchen Fang, Yong Yu:
User Behavior Retrieval for Click-Through Rate Prediction. CoRR abs/2005.14171 (2020) - [i65]Sijin Zhou, Xinyi Dai, Haokun Chen, Weinan Zhang, Kan Ren, Ruiming Tang, Xiuqiang He, Yong Yu:
Interactive Recommender System via Knowledge Graph-enhanced Reinforcement Learning. CoRR abs/2006.10389 (2020) - [i64]Jiarui Jin, Jiarui Qin, Yuchen Fang, Kounianhua Du, Weinan Zhang, Yong Yu, Zheng Zhang, Alexander J. Smola:
An Efficient Neighborhood-based Interaction Model for Recommendation on Heterogeneous Graph. CoRR abs/2007.00216 (2020) - [i63]Hang Lai, Jian Shen, Weinan Zhang, Yong Yu:
Bidirectional Model-based Policy Optimization. CoRR abs/2007.01995 (2020) - [i62]Lihua Qian, Hao Zhou, Yu Bao, Mingxuan Wang, Lin Qiu, Weinan Zhang, Yong Yu, Lei Li:
Glancing Transformer for Non-Autoregressive Neural Machine Translation. CoRR abs/2008.07905 (2020) - [i61]Yang Yang, Jian Shen, Yanru Qu, Yunfei Liu, Kerong Wang, Yaoming Zhu, Weinan Zhang, Yong Yu:
GIKT: A Graph-based Interaction Model for Knowledge Tracing. CoRR abs/2009.05991 (2020) - [i60]Chang Liu, Huichu Zhang, Weinan Zhang, Guanjie Zheng, Yong Yu:
GeneraLight: Improving Environment Generalization of Traffic Signal Control via Meta Reinforcement Learning. CoRR abs/2009.08052 (2020) - [i59]Jian Shen, Han Zhao, Weinan Zhang, Yong Yu:
Model-based Policy Optimization with Unsupervised Model Adaptation. CoRR abs/2010.09546 (2020) - [i58]Cheng Chen, Luo Luo, Weinan Zhang, Yong Yu:
Efficient Projection-Free Algorithms for Saddle Point Problems. CoRR abs/2010.11737 (2020) - [i57]Xinyi Dai, Jiawei Hou, Qing Liu, Yunjia Xi, Ruiming Tang, Weinan Zhang, Xiuqiang He, Jun Wang, Yong Yu:
U-rank: Utility-oriented Learning to Rank with Implicit Feedback. CoRR abs/2011.00550 (2020) - [i56]Jiarui Jin, Kounianhua Du, Weinan Zhang, Jiarui Qin, Yuchen Fang, Yong Yu, Zheng Zhang, Alexander J. Smola:
Learning Interaction Models of Structured Neighborhood on Heterogeneous Information Network. CoRR abs/2011.12683 (2020) - [i55]Minkai Xu, Zhiming Zhou, Guansong Lu, Jian Tang, Weinan Zhang, Yong Yu:
Sobolev Wasserstein GAN. CoRR abs/2012.03420 (2020) - [i54]Yunfei Liu, Yang Yang, Xianyu Chen, Jian Shen, Haifeng Zhang, Yong Yu:
Improving Knowledge Tracing via Pre-training Question Embeddings. CoRR abs/2012.05031 (2020)
2010 – 2019
- 2019
- [j43]Haifeng Zhang, Zilong Guo, Weinan Zhang, Han Cai, Chris Wang, Yong Yu, Wenxin Li, Jun Wang:
Layout Design for Intelligent Warehouse by Evolution With Fitness Approximation. IEEE Access 7: 166310-166317 (2019) - [j42]Yanru Qu, Bohui Fang, Weinan Zhang, Ruiming Tang, Minzhe Niu, Huifeng Guo, Yong Yu, Xiuqiang He:
Product-Based Neural Networks for User Response Prediction over Multi-Field Categorical Data. ACM Trans. Inf. Syst. 37(1): 5:1-5:35 (2019) - [c275]Haokun Chen, Xinyi Dai, Han Cai, Weinan Zhang, Xuejian Wang, Ruiming Tang, Yuzhou Zhang, Yong Yu:
Large-Scale Interactive Recommendation with Tree-Structured Policy Gradient. AAAI 2019: 3312-3320 - [c274]Guansong Lu, Zhiming Zhou, Yuxuan Song, Kan Ren, Yong Yu:
Guiding the One-to-One Mapping in CycleGAN via Optimal Transport. AAAI 2019: 4432-4439 - [c273]Kan Ren, Jiarui Qin, Lei Zheng, Zhengyu Yang, Weinan Zhang, Lin Qiu, Yong Yu:
Deep Recurrent Survival Analysis. AAAI 2019: 4798-4805 - [c272]Lin Qiu, Yunxuan Xiao, Yanru Qu, Hao Zhou, Lei Li, Weinan Zhang, Yong Yu:
Dynamically Fused Graph Network for Multi-hop Reasoning. ACL (1) 2019: 6140-6150 - [c271]Jianhua Han, Yong Yu, Feng Liu, Ruiming Tang, Yuzhou Zhang:
Optimizing Ranking Algorithm in Recommender System via Deep Reinforcement Learning. AIAM (IEEE) 2019: 22-26 - [c270]Ming Zhou, Jiarui Jin, Weinan Zhang, Zhiwei (Tony) Qin, Yan Jiao, Chenxi Wang, Guobin Wu, Yong Yu, Jieping Ye:
Multi-Agent Reinforcement Learning for Order-dispatching via Order-Vehicle Distribution Matching. CIKM 2019: 2645-2653 - [c269]Zheyi Pan, Zhaoyuan Wang, Weifeng Wang, Yong Yu, Junbo Zhang, Yu Zheng:
Matrix Factorization for Spatio-Temporal Neural Networks with Applications to Urban Flow Prediction. CIKM 2019: 2683-2691 - [c268]Weijun Hong, Menghui Zhu, Minghuan Liu, Weinan Zhang, Ming Zhou, Yong Yu, Peng Sun:
Generative adversarial exploration for reinforcement learning. DAI 2019: 6:1-6:10 - [c267]Lihua Qian, Lin Qiu, Weinan Zhang, Xin Jiang, Yong Yu:
Exploring Diverse Expressions for Paraphrase Generation. EMNLP/IJCNLP (1) 2019: 3171-3180 - [c266]Zhiming Zhou, Qingru Zhang, Guansong Lu, Hongwei Wang, Weinan Zhang, Yong Yu:
AdaShift: Decorrelation and Convergence of Adaptive Learning Rate Methods. ICLR (Poster) 2019 - [c265]Zhiming Zhou, Jiadong Liang, Yuxuan Song, Lantao Yu, Hongwei Wang, Weinan Zhang, Yong Yu, Zhihua Zhang:
Lipschitz Generative Adversarial Nets. ICML 2019: 7584-7593 - [c264]Zhou Fan, Rui Su, Weinan Zhang, Yong Yu:
Hybrid Actor-Critic Reinforcement Learning in Parameterized Action Space. IJCAI 2019: 2279-2285 - [c263]Kan Ren, Jiarui Qin, Lei Zheng, Zhengyu Yang, Weinan Zhang, Yong Yu:
Deep Landscape Forecasting for Real-time Bidding Advertising. KDD 2019: 363-372 - [c262]Zheyi Pan, Yuxuan Liang, Weifeng Wang, Yong Yu, Yu Zheng, Junbo Zhang:
Urban Traffic Prediction from Spatio-Temporal Data Using Deep Meta Learning. KDD 2019: 1720-1730 - [c261]Zheyi Pan, Jie Bao, Weinan Zhang, Yong Yu, Yu Zheng:
TrajGuard: A Comprehensive Trajectory Copyright Protection Scheme. KDD 2019: 3060-3070 - [c260]Yaoming Zhu, Juncheng Wan, Zhiming Zhou, Liheng Chen, Lin Qiu, Weinan Zhang, Xin Jiang, Yong Yu:
Triple-to-Text: Converting RDF Triples into High-Quality Natural Languages via Optimizing an Inverse KL Divergence. SIGIR 2019: 455-464 - [c259]Kan Ren, Jiarui Qin, Yuchen Fang, Weinan Zhang, Lei Zheng, Weijie Bian, Guorui Zhou, Jian Xu, Yong Yu, Xiaoqiang Zhu, Kun Gai:
Lifelong Sequential Modeling with Personalized Memorization for User Response Prediction. SIGIR 2019: 565-574 - [c258]Liheng Chen, Yanru Qu, Zhenghui Wang, Lin Qiu, Weinan Zhang, Ken Chen, Shaodian Zhang, Yong Yu:
Sampled in Pairs and Driven by Text: A New Graph Embedding Framework. WWW 2019: 2644-2651 - [c257]