Yong Yu

ORCID

Publication Activity (10 Years)

Years Active: 2001-2024
Publications (10 Years): 303

Top Venues

Publications

Junjie Huang, Guohao Cai, Jieming Zhu, Zhenhua Dong, Ruiming Tang, Weinan Zhang, Yong Yu
Recall-Augmented Ranking: Enhancing Click-Through Rate Prediction Accuracy with Cross-Stage Data. CoRR (2024)
Qingyao Li, Lingyue Fu, Weiming Zhang, Xianyu Chen, Jingwei Yu, Wei Xia, Weinan Zhang, Ruiming Tang, Yong Yu
Adapting Large Language Models for Education: Foundational Capabilities, Potentials, and Challenges. CoRR (2024)
Jianghao Lin, Rong Shan, Chenxu Zhu, Kounianhua Du, Bo Chen, Shigang Quan, Ruiming Tang, Yong Yu, Weinan Zhang
ReLLa: Retrieval-enhanced Large Language Models for Lifelong Sequential Behavior Comprehension in Recommendation. WWW (2024)
Junjie Huang, Jizheng Chen, Jianghao Lin, Jiarui Qin, Ziming Feng, Weinan Zhang, Yong Yu
A Comprehensive Survey on Retrieval Methods in Recommender Systems. CoRR (2024)
Ruiwen Zhou, Yingxuan Yang, Muning Wen, Ying Wen, Wenhao Wang, Chunling Xi, Guoqiang Xu, Yong Yu, Weinan Zhang
TRAD: Enhancing LLM Agents with Step-Wise Thought Retrieval and Aligned Decision. CoRR (2024)
Jiarui Jin, Zexue He, Mengyue Yang, Weinan Zhang, Yong Yu, Jun Wang, Julian J. McAuley
InfoRank: Unbiased Learning-to-Rank via Conditional Mutual Information Minimization. WWW (2024)
Yifan Liu, Weiwen Liu, Wei Xia, Jieming Zhu, Weinan Zhang, Zhenhua Dong, Yang Wang, Ruiming Tang, Rui Zhang, Yong Yu
Multi-sourced Integrated Ranking with Exposure Fairness. PAKDD (5) (2024)
Yunjia Xi, Weiwen Liu, Jianghao Lin, Chuhan Wu, Bo Chen, Ruiming Tang, Weinan Zhang, Yong Yu
Play to Your Strengths: Collaborative Intelligence of Conventional Recommender Models and Large Language Models. CoRR (2024)
Qingyao Li, Wei Xia, Kounianhua Du, Qiji Zhang, Weinan Zhang, Ruiming Tang, Yong Yu
Learning Structure and Knowledge Aware Representation with Large Language Models for Concept Recommendation. CoRR (2024)
Siyuan Feng, Jiawei Liu, Ruihang Lai, Charlie F. Ruan, Yong Yu, Lingming Zhang, Tianqi Chen
Emerging Platforms Meet Emerging LLMs: A Year-Long Journey of Top-Down Development. CoRR (2024)
Lei Zheng, Ning Li, Weinan Zhang, Yong Yu
Retrieval and Distill: A Temporal Data Shift-Free Paradigm for Online Recommendation System. CoRR (2024)
Jiachen Zhu, Yichao Wang, Jianghao Lin, Jiarui Qin, Ruiming Tang, Weinan Zhang, Yong Yu
M-scan: A Multi-Scenario Causal-driven Adaptive Network for Recommendation. CoRR (2024)
Hangyu Wang, Jianghao Lin, Bo Chen, Yang Yang, Ruiming Tang, Weinan Zhang, Yong Yu
Towards Efficient and Effective Unlearning of Large Language Models for Recommendation. CoRR (2024)
Junjie Huang, Guohao Cai, Jieming Zhu, Zhenhua Dong, Ruiming Tang, Weinan Zhang, Yong Yu
Recall-Augmented Ranking: Enhancing Click-Through Rate Prediction Accuracy with Cross-Stage Data. WWW (Companion Volume) (2024)
Kangning Zhang, Yingjie Qin, Ruilong Su, Yifan Liu, Jiarui Jin, Weinan Zhang, Yong Yu
DRepMRec: A Dual Representation Learning Framework for Multimodal Recommendation. CoRR (2024)
Zhengbang Zhu, Rongjun Qin, Junjie Huang, Xinyi Dai, Yang Yu, Yong Yu, Weinan Zhang
Understanding or Manipulation: Rethinking Online Performance Gains of Modern Recommender Systems. ACM Trans. Inf. Syst. 42 (4) (2024)
Lei Zheng, Ning Li, Yanhuan Huang, Ruiwen Xu, Weinan Zhang, Yong Yu
Look into the Future: Deep Contextualized Sequential Recommendation. CoRR (2024)
Hanye Zhao, Xiaoshen Han, Zhengbang Zhu, Minghuan Liu, Yong Yu, Weinan Zhang
Diffusion-based Dynamics Models for Long-Horizon Rollout in Offline Reinforcement Learning. CoRR (2024)
Qingyao Li, Wei Xia, Li'ang Yin, Jiarui Jin, Yong Yu
Privileged Knowledge State Distillation for Reinforcement Learning-based Educational Path Recommendation. KDD (2024)
Ruiwen Zhou, Yingxuan Yang, Muning Wen, Ying Wen, Wenhao Wang, Chunling Xi, Guoqiang Xu, Yong Yu, Weinan Zhang
TRAD: Enhancing LLM Agents with Step-Wise Thought Retrieval and Aligned Decision. SIGIR (2024)
Jingxiao Chen, Ziqin Gong, Minghuan Liu, Jun Wang, Yong Yu, Weinan Zhang
Looking Ahead to Avoid Being Late: Solving Hard-Constrained Traveling Salesman Problem. CoRR (2024)
Lingyue Fu, Hao Guan, Kounianhua Du, Jianghao Lin, Wei Xia, Weinan Zhang, Ruiming Tang, Yasheng Wang, Yong Yu
SINKT: A Structure-Aware Inductive Knowledge Tracing Model with Large Language Model. CoRR (2024)
Jingxiao Chen, Weiji Xie, Weinan Zhang, Yong Yu, Ying Wen
Offline Fictitious Self-Play for Competitive Games. CoRR (2024)
Jiachen Zhu, Yichao Wang, Jianghao Lin, Jiarui Qin, Ruiming Tang, Weinan Zhang, Yong Yu
M-scan: A Multi-Scenario Causal-driven Adaptive Network for Recommendation. WWW (2024)
Weitong Ou, Bo Chen, Xinyi Dai, Weinan Zhang, Weiwen Liu, Ruiming Tang, Yong Yu
A Survey on Bid Optimization in Real-Time Bidding Display Advertising. ACM Trans. Knowl. Discov. Data 18 (3) (2024)
Jianghao Lin, Bo Chen, Hangyu Wang, Yunjia Xi, Yanru Qu, Xinyi Dai, Kangning Zhang, Ruiming Tang, Yong Yu, Weinan Zhang
ClickPrompt: CTR Models are Strong Prompt Generators for Adapting Language Models to CTR Prediction. WWW (2024)
Jiarui Qin, Weiwen Liu, Ruiming Tang, Weinan Zhang, Yong Yu
D2K: Turning Historical Data into Retrievable Knowledge for Recommender Systems. CoRR (2024)
Yunjia Xi, Weiwen Liu, Jianghao Lin, Bo Chen, Ruiming Tang, Weinan Zhang, Yong Yu
MemoCRS: Memory-enhanced Sequential Conversational Recommender Systems with Large Language Models. CoRR (2024)
Jianghao Lin, Xinyi Dai, Rong Shan, Bo Chen, Ruiming Tang, Yong Yu, Weinan Zhang
Large Language Models Make Sample-Efficient Recommender Systems. CoRR (2024)
Yifan Liu, Wei Xia, Weiwen Liu, Menghui Zhu, Weinan Zhang, Ruiming Tang, Yong Yu
HiFI: Hierarchical Fairness-aware Integrated Ranking with Constrained Reinforcement Learning. WWW (Companion Volume) (2024)
Kounianhua Du, Renting Rui, Huacan Chai, Lingyue Fu, Wei Xia, Yasheng Wang, Ruiming Tang, Yong Yu, Weinan Zhang
CodeGRAG: Extracting Composed Syntax Graphs for Retrieval Augmented Cross-Lingual Code Generation. CoRR (2024)
Jiarui Jin, Xianyu Chen, Weinan Zhang, Mengyue Yang, Yang Wang, Yali Du, Yong Yu, Jun Wang
Replace Scoring with Arrangement: A Contextual Set-to-Arrangement Framework for Learning-to-Rank. CIKM (2023)
Xianyu Chen, Jian Shen, Wei Xia, Jiarui Jin, Yakun Song, Weinan Zhang, Weiwen Liu, Menghui Zhu, Ruiming Tang, Kai Dong, Dingyin Xia, Yong Yu
Set-to-Sequence Ranking-Based Concept-Aware Learning Path Recommendation. AAAI (2023)
Qingyao Li, Wei Xia, Li'ang Yin, Jian Shen, Renting Rui, Weinan Zhang, Xianyu Chen, Ruiming Tang, Yong Yu
Graph Enhanced Hierarchical Reinforcement Learning for Goal-oriented Learning Path Recommendation. CIKM (2023)
Jiarui Qin, Weinan Zhang, Rong Su, Zhirong Liu, Weiwen Liu, Guangpeng Zhao, Hao Li, Ruiming Tang, Xiuqiang He, Yong Yu
Learning to Retrieve User Behaviors for Click-through Rate Estimation. ACM Trans. Inf. Syst. 41 (4) (2023)
Yuchen Fang, Kan Ren, Caihua Shan, Yifei Shen, You Li, Weinan Zhang, Yong Yu, Dongsheng Li
Learning Decomposed Spatial Relations for Multi-Variate Time-Series Modeling. AAAI (2023)
Mingcheng Chen, Haoran Zhao, Yuxiang Zhao, Hulei Fan, Hongqiao Gao, Yong Yu, Zheng Tian
ROMO: Retrieval-enhanced Offline Model-based Optimization. DAI (2023)
Yunjia Xi, Jianghao Lin, Weiwen Liu, Xinyi Dai, Weinan Zhang, Rui Zhang, Ruiming Tang, Yong Yu
A Bird's-eye View of Reranking: From List Level to Page Level. WSDM (2023)
Yunjia Xi, Weiwen Liu, Yang Wang, Ruiming Tang, Weinan Zhang, Yue Zhu, Rui Zhang, Yong Yu
On-device Integrated Re-ranking with Heterogeneous Behavior Modeling. KDD (2023)
Ming Zhou, Ziyu Wan, Hanjing Wang, Muning Wen, Runzhe Wu, Ying Wen, Yaodong Yang, Yong Yu, Jun Wang, Weinan Zhang
MALib: A Parallel Framework for Population-based Multi-agent Reinforcement Learning. J. Mach. Learn. Res. 24 (2023)
Weitong Ou, Bo Chen, Yingxuan Yang, Xinyi Dai, Weiwen Liu, Weinan Zhang, Ruiming Tang, Yong Yu
Deep Landscape Forecasting in Multi-Slot Real-Time Bidding. KDD (2023)
Yuchen Fang, Zhenggang Tang, Kan Ren, Weiqing Liu, Li Zhao, Jiang Bian, Dongsheng Li, Weinan Zhang, Yong Yu, Tie-Yan Liu
Learning Multi-Agent Intention-Aware Communication for Optimal Multi-Order Execution in Finance. KDD (2023)
Jiarui Jin, Xianyu Chen, Fanghua Ye, Mengyue Yang, Yue Feng, Weinan Zhang, Yong Yu, Jun Wang
Lending Interaction Wings to Recommender Systems with Conversational Agents. NeurIPS (2023)
Jingwei Yu, Mu Zhenyu, Jiayi Lei, Liang Yin, Wei Xia, Yong Yu, Ting Long
SACAT: Student-Adaptive Computerized Adaptive Testing. DAI (2023)
Hangyu Wang, Ting Long, Liang Yin, Weinan Zhang, Wei Xia, Qichen Hong, Dingyin Xia, Ruiming Tang, Yong Yu
GMOCAT: A Graph-Enhanced Multi-Objective Method for Computerized Adaptive Testing. CoRR (2023)
Zhengbang Zhu, Minghuan Liu, Liyuan Mao, Bingyi Kang, Minkai Xu, Yong Yu, Stefano Ermon, Weinan Zhang
MADiff: Offline Multi-agent Learning with Diffusion Models. CoRR (2023)
Lingyue Fu, Huacan Chai, Shuang Luo, Kounianhua Du, Weiming Zhang, Longteng Fan, Jiayi Lei, Renting Rui, Jianghao Lin, Yuchen Fang, Yifan Liu, Jingkuan Wang, Siyuan Qi, Kangning Zhang, Weinan Zhang, Yong Yu
CodeApex: A Bilingual Programming Evaluation Benchmark for Large Language Models. CoRR (2023)
Jianghao Lin, Yanru Qu, Wei Guo, Xinyi Dai, Ruiming Tang, Yong Yu, Weinan Zhang
MAP: A Model-agnostic Pretraining Framework for Click-through Rate Prediction. KDD (2023)
Hang Lai, Weinan Zhang, Xialin He, Chen Yu, Zheng Tian, Yong Yu, Jun Wang
Sim-to-Real Transfer for Quadrupedal Locomotion via Terrain Transformer. ICRA (2023)
Weitong Ou, Bo Chen, Weiwen Liu, Xinyi Dai, Weinan Zhang, Wei Xia, Xuan Li, Ruiming Tang, Yong Yu
Optimal Real-Time Bidding Strategy for Position Auctions in Online Advertising. CIKM (2023)
Jianghao Lin, Xinyi Dai, Yunjia Xi, Weiwen Liu, Bo Chen, Xiangyang Li, Chenxu Zhu, Huifeng Guo, Yong Yu, Ruiming Tang, Weinan Zhang
How Can Recommender Systems Benefit from Large Language Models: A Survey. CoRR (2023)
Siyuan Feng, Bohan Hou, Hongyi Jin, Wuwei Lin, Junru Shao, Ruihang Lai, Zihao Ye, Lianmin Zheng, Cody Hao Yu, Yong Yu, Tianqi Chen
TensorIR: An Abstraction for Automatic Tensorized Program Optimization. ASPLOS (2) (2023)
Xianyu Chen, Jian Shen, Wei Xia, Jiarui Jin, Yakun Song, Weinan Zhang, Weiwen Liu, Menghui Zhu, Ruiming Tang, Kai Dong, Dingyin Xia, Yong Yu
Set-to-Sequence Ranking-based Concept-aware Learning Path Recommendation. CoRR (2023)
Yunfeng Lin, Minghuan Liu, Yong Yu
D4W: Dependable Data-Driven Dynamics for Wheeled Robots. DAI (2023)
Zhengbang Zhu, Hanye Zhao, Haoran He, Yichao Zhong, Shenyu Zhang, Yong Yu, Weinan Zhang
Diffusion Models for Reinforcement Learning: A Survey. CoRR (2023)
Hangyu Wang, Ting Long, Liang Yin, Weinan Zhang, Wei Xia, Qichen Hong, Dingyin Xia, Ruiming Tang, Yong Yu
GMOCAT: A Graph-Enhanced Multi-Objective Method for Computerized Adaptive Testing. KDD (2023)
Yuchen Fang, Zhenggang Tang, Kan Ren, Weiqing Liu, Li Zhao, Jiang Bian, Dongsheng Li, Weinan Zhang, Yong Yu, Tie-Yan Liu
Learning Multi-Agent Intention-Aware Communication for Optimal Multi-Order Execution in Finance. CoRR (2023)
Jian Shen, Hang Lai, Minghuan Liu, Han Zhao, Yong Yu, Weinan Zhang
Adaptation Augmented Model-based Policy Optimization. J. Mach. Learn. Res. 24 (2023)
Yao Li, Yifan Liu, Xinyi Dai, Jianghao Lin, Hang Lai, Yunfei Liu, Yong Yu
Adversarially Trained Environment Models Are Effective Policy Evaluators and Improvers - An Application to Information Retrieval. DAI (2023)
Haokun Chen, Chenxu Zhu, Ruiming Tang, Weinan Zhang, Xiuqiang He, Yong Yu
Large-Scale Interactive Recommendation With Tree-Structured Reinforcement Learning. IEEE Trans. Knowl. Data Eng. 35 (4) (2023)
Chenxu Zhu, Bo Chen, Huifeng Guo, Hang Xu, Xiangyang Li, Xiangyu Zhao, Weinan Zhang, Yong Yu, Ruiming Tang
AutoGen: An Automated Dynamic Model Generation Framework for Recommender System. WSDM (2023)
Hangyu Wang, Jianghao Lin, Xiangyang Li, Bo Chen, Chenxu Zhu, Ruiming Tang, Weinan Zhang, Yong Yu
ALT: Towards Fine-grained Alignment between Language and CTR Models for Click-Through Rate Prediction. CoRR (2023)
Mingcheng Chen, Haoran Zhao, Yuxiang Zhao, Hulei Fan, Hongqiao Gao, Yong Yu, Zheng Tian
ROMO: Retrieval-enhanced Offline Model-based Optimization. CoRR (2023)
Xinyuan Wu, Wentao Dong, Hang Lai, Yong Yu, Ying Wen
Adaptive Control Strategy for Quadruped Robots in Actuator Degradation Scenarios. CoRR (2023)
Jianghao Lin, Rong Shan, Chenxu Zhu, Kounianhua Du, Bo Chen, Shigang Quan, Ruiming Tang, Yong Yu, Weinan Zhang
ReLLa: Retrieval-enhanced Large Language Models for Lifelong Sequential Behavior Comprehension in Recommendation. CoRR (2023)
Xinyuan Wu, Wentao Dong, Hang Lai, Yong Yu, Ying Wen
Adaptive Control Strategy for Quadruped Robots in Actuator Degradation Scenarios. DAI (2023)
Zhengbang Zhu, Shenyu Zhang, Yuzheng Zhuang, Yuecheng Liu, Minghuan Liu, Ziqing Gong, Shixiong Kai, Qiang Gu, Bin Wang, Siyuan Cheng, Xinyu Wang, Jianye Hao, Yong Yu
RITA: Boost Driving Simulators with Realistic Interactive Traffic Flow. DAI (2023)
Jianghao Lin, Bo Chen, Hangyu Wang, Yunjia Xi, Yanru Qu, Xinyi Dai, Kangning Zhang, Ruiming Tang, Yong Yu, Weinan Zhang
ClickPrompt: CTR Models are Strong Prompt Generators for Adapting Language Models to CTR Prediction. CoRR (2023)
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. WSDM (2023)
Jiarui Jin, Xianyu Chen, Fanghua Ye, Mengyue Yang, Yue Feng, Weinan Zhang, Yong Yu, Jun Wang
Lending Interaction Wings to Recommender Systems with Conversational Agents. CoRR (2023)
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) (2022)
Zhengbang Zhu, Rongjun Qin, Junjie Huang, Xinyi Dai, Yang Yu, Yong Yu, Weinan Zhang
Understanding or Manipulation: Rethinking Online Performance Gains of Modern Recommender Systems. CoRR (2022)
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 (2022)
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)
Jiarui Jin, Yangkun Wang, Weinan Zhang, Quan Gan, Xiang Song, Yong Yu, Zheng Zhang, David Wipf
Refined Edge Usage of Graph Neural Networks for Edge Prediction. CoRR (2022)
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) (2022)
Ting Long, Jiarui Qin, Jian Shen, Weinan Zhang, Wei Xia, Ruiming Tang, Xiuqiang He, Yong Yu
Improving Knowledge Tracing with Collaborative Information. WSDM (2022)
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 (2022)
Jiarui Qin, Jiachen Zhu, Bo Chen, Zhirong Liu, Weiwen Liu, Ruiming Tang, Rui Zhang, Yong Yu, Weinan Zhang
RankFlow: Joint Optimization of Multi-Stage Cascade Ranking Systems as Flows. SIGIR (2022)
Juncheng Wan, Jian Yang, Shuming Ma, Dongdong Zhang, Weinan Zhang, Yong Yu, Furu Wei
Phrase-level Adversarial Example Generation for Neural Machine Translation. CoRR (2022)
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. ICLR (2022)
Jiarui Jin, Yangkun Wang, Kounianhua Du, Weinan Zhang, Zheng Zhang, David Wipf, Yong Yu, Quan Gan
Inductive Relation Prediction Using Analogy Subgraph Embeddings. ICLR (2022)
Weijun Hong, Menghui Zhu, Minghuan Liu, Weinan Zhang, Ming Zhou, Yong Yu, Peng Sun
Generative Adversarial Exploration for Reinforcement Learning. CoRR (2022)
Zhengbang Zhu, Shenyu Zhang, Yuzheng Zhuang, Yuecheng Liu, Minghuan Liu, Liyuan Mao, Ziqing Gong, Weinan Zhang, Shixiong Kai, Qiang Gu, Bin Wang, Siyuan Cheng, Xinyu Wang, Jianye Hao, Yong Yu
RITA: Boost Autonomous Driving Simulators with Realistic Interactive Traffic Flow. CoRR (2022)
Jiayu Miao, Tianze Zhou, Kun Shao, Ming Zhou, Weinan Zhang, Jianye Hao, Yong Yu, Jun Wang
Promoting Quality and Diversity in Population-based Reinforcement Learning via Hierarchical Trajectory Space Exploration. ICRA (2022)
Ting Long, Yunfei Liu, Weinan Zhang, Wei Xia, Zhicheng He, Ruiming Tang, Yong Yu
Automatical Graph-based Knowledge Tracing. EDM (2022)
Jiarui Jin, Xianyu Chen, Weinan Zhang, Yuanbo Chen, Zaifan Jiang, Zekun Zhu, Zhewen Su, Yong Yu
Multi-Scale User Behavior Network for Entire Space Multi-Task Learning. CIKM (2022)
Ming Zhou, Jingxiao Chen, Ying Wen, Weinan Zhang, Yaodong Yang, Yong Yu
Efficient Policy Space Response Oracles. CoRR (2022)
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)
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 (2022)
Siyuan Feng, Bohan Hou, Hongyi Jin, Wuwei Lin, Junru Shao, Ruihang Lai, Zihao Ye, Lianmin Zheng, Cody Hao Yu, Yong Yu, Tianqi Chen
TensorIR: An Abstraction for Automatic Tensorized Program Optimization. CoRR (2022)
Handong Ma, Zhecheng Dong, Mingcheng Chen, Wenbo Sheng, Yao Li, Weinan Zhang, Shaodian Zhang, Yong Yu
A gradient boosting tree model for multi-department venous thromboembolism risk assessment with imbalanced data. J. Biomed. Informatics 134 (2022)
Hang Lai, Weinan Zhang, Xialin He, Chen Yu, Zheng Tian, Yong Yu, Jun Wang
Sim-to-Real Transfer for Quadrupedal Locomotion via Terrain Transformer. CoRR (2022)
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) (2022)
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. SIGIR (2022)
Juncheng Wan, Jian Yang, Shuming Ma, Dongdong Zhang, Weinan Zhang, Yong Yu, Zhoujun Li
PAEG: Phrase-level Adversarial Example Generation for Neural Machine Translation. COLING (2022)
Zeren Huang, Wenhao Chen, Weinan Zhang, Chuhan Shi, Furui Liu, Hui-Ling Zhen, Mingxuan Yuan, Jianye Hao, Yong Yu, Jun Wang
Branch Ranking for Efficient Mixed-Integer Programming via Offline Ranking-based Policy Learning. CoRR (2022)
Jiarui Jin, Xianyu Chen, Weinan Zhang, Yuanbo Chen, Zaifan Jiang, Zekun Zhu, Zhewen Su, Yong Yu
Multi-Scale User Behavior Network for Entire Space Multi-Task Learning. CoRR (2022)
Weijun Hong, Guilin Li, Weinan Zhang, Ruiming Tang, Yunhe Wang, Zhenguo Li, Yong Yu
DropNAS: Grouped Operation Dropout for Differentiable Architecture Search. CoRR (2022)
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 (2022)

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Publication Activity (10 Years)

Top Topics

Top Venues

Yong Yu