Weinan Zhang

Weinan Zhang, Rui Zhang, Ruiming Tang, 2022, Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval.

On Effective Scheduling of Model-based Reinforcement Learning

Weinan Zhang, Xingzhi Zhang, Zhenguo Li, 2021, NeurIPS.

A transistor-like pH-sensitive nanodetergent for selective cancer therapy

Weinan Zhang, Li Wang, Shiyan Xiao, 2022, Nature Nanotechnology.

Combo-Fashion: Fashion Clothes Matching CTR Prediction with Item History

Weinan Zhang, Yong Yu, Chenxu Zhu, 2022, Knowledge Discovery and Data Mining.

Multi-Scale User Behavior Network for Entire Space Multi-Task Learning

Weinan Zhang, Zekun Zhu, Yong Yu, 2022, CIKM.

Plan Your Target and Learn Your Skills: Transferable State-Only Imitation Learning via Decoupled Policy Optimization

Weinan Zhang, Zhengbang Zhu, J. Wang, 2022, ICML.

Goal-Conditioned Reinforcement Learning: Problems and Solutions

Weinan Zhang, Minghuan Liu, Menghui Zhu, 2022, IJCAI.

Towards Making the Most of BERT in Neural Machine Translation

Weinan Zhang, Yong Yu, Lei Li, 2019, AAAI.

GraphAF: a Flow-based Autoregressive Model for Molecular Graph Generation

Weinan Zhang, Jian Tang, Ming Zhang, 2020, ICLR.

A gradient boosting tree model for multi-department venous thromboembolism risk assessment with imbalanced data

Weinan Zhang, Mingcheng Chen, Shaodian Zhang, 2022, J. Biomed. Informatics.

Branch Ranking for Efficient Mixed-Integer Programming via Offline Ranking-based Policy Learning

Weinan Zhang, J. Wang, Jianye Hao, 2022, ECML/PKDD.

Branch Ranking for Eﬃcient Mixed-Integer Programming via Oﬄine Ranking-based Policy Learning

Weinan Zhang, Jianye Hao, Furui Liu, 2022 .

Forgetting Fast in Recommender Systems

Weinan Zhang, Wenyan Liu, Xiaoling Wang, 2022, ArXiv.

Learning Enhanced Representations for Tabular Data via Neighborhood Propagation

Weinan Zhang, D. Wipf, Quan Gan, 2022, ArXiv.

Understanding or Manipulation: Rethinking Online Performance Gains of Modern Recommender Systems

Weinan Zhang, Zhengbang Zhu, Yang Yu, 2022, ACM Transactions on Information Systems.

PAEG: Phrase-level Adversarial Example Generation for Neural Machine Translation

Weinan Zhang, Dongdong Zhang, Jian Yang, 2022, COLING.

PAEG: Phrase-level Adversarial Example Generation for Neural Machine Translation

Weinan Zhang, Dongdong Zhang, Jian Yang, 2022, COLING.

Multi-Agent Reinforcement Learning is a Sequence Modeling Problem

Yaodong Yang, Weinan Zhang, Ying Wen, 2022, Neural Information Processing Systems.

GraphAF: a Flow-based Autoregressive Model for Molecular Graph Generation

Weinan Zhang, Jian Tang, Ming Zhang, 2020, ICLR.

Multi-Agent Reinforcement Learning is a Sequence Modeling Problem

Yaodong Yang, Weinan Zhang, Ying Wen, 2022, NeurIPS.

Plan Your Target and Learn Your Skills: Transferable State-Only Imitation Learning via Decoupled Policy Optimization

Weinan Zhang, Zhengbang Zhu, J. Wang, 2022, ICML.

Offline Pre-trained Multi-Agent Decision Transformer: One Big Sequence Model Tackles All SMAC Tasks

Yaodong Yang, Weinan Zhang, Ying Wen, 2021, ArXiv.

Glancing Transformer for Non-Autoregressive Neural Machine Translation

Weinan Zhang, Yong Yu, Lei Li, 2020, ACL.

Retrieval-Based Gradient Boosting Decision Trees for Disease Risk Assessment

Weinan Zhang, Shaodian Zhang, Yuchen Fang, 2022, KDD.

RITA: Boost Autonomous Driving Simulators with Realistic Interactive Traffic Flow

Weinan Zhang, Zhengbang Zhu, Minghuan Liu, 2022, ArXiv.

Refined Edge Usage of Graph Neural Networks for Edge Prediction

Weinan Zhang, D. Wipf, Quan Gan, 2022, 2212.12970.

Sim-to-Real Transfer for Quadrupedal Locomotion via Terrain Transformer

Weinan Zhang, Zheng Tian, Hang Lai, 2022, ArXiv.

AIM: Automatic Interaction Machine for Click-Through Rate Prediction pdf

Zhenguo Li, Ruiming Tang, Xiuqiang He, 2021, IEEE Transactions on Knowledge and Data Engineering.

AutoFIS

Weinan Zhang, Yong Yu, B. Liu, 2020, Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining.

AutoFIS: Automatic Feature Interaction Selection in Factorization Models for Click-Through Rate Prediction

Bin Liu, Yong Yu, Weinan Zhang, 2020, KDD.

Product-Based Neural Networks for User Response Prediction over Multi-Field Categorical Data

Yong Yu, Weinan Zhang, Huifeng Guo, 2018, ACM Trans. Inf. Syst..

Multi-Agent Interactions Modeling with Correlated Policies pdf

Yong Yu, Weinan Zhang, Wulong Liu, 2020, ICLR.

Bi-level Actor-Critic for Multi-agent Coordination

Yaodong Yang, Weinan Zhang, Jun Wang, 2019, AAAI.

Factorized Q-learning for large-scale multi-agent systems

Ying Wen, Ming Zhou, Weinan Zhang, 2018, DAI.

Mean Field Multi-Agent Reinforcement Learning

Ming Zhou, Weinan Zhang, Yaodong Yang, 2018, ICML.

Learning to Design Games: Strategic Environments in Deep Reinforcement Learning

Jun Wang, Yong Yu, Weinan Zhang, 2017, IJCAI.

Learning to Design Games: Strategic Environments in Deep Reinforcement Learning pdf

Jun Wang, Ying Wen, Yong Yu, 2017, ArXiv.

Learning to Infer User Hidden States for Online Sequential Advertising

Jian Xu, Weinan Zhang, Kun Gai, 2020, CIKM.

Sequential Advertising Agent with Interpretable User Hidden Intents

Miao Xu, Jian Xu, Weinan Zhang, 2020, AAMAS.

Content Recommendation by Noise Contrastive Transfer Learning of Feature Representation

Jun Wang, Yong Yu, Weinan Zhang, 2017, CIKM.

Efficient Projection-Free Algorithms for Saddle Point Problems pdf

Weinan Zhang, Yong Yu, Cheng Chen, 2020, NeurIPS.

Signal Instructed Coordination in Cooperative Multi-agent Reinforcement Learning

Yong Yu, Hongyi Guo, Yali Du, 2019, DAI.

Signal Instructed Coordination in Team Competition pdf

Ming Zhou, Liheng Chen, Weinan Zhang, 2019, ArXiv.

Collective Noise Contrastive Estimation for Policy Transfer Learning

Katja Hofmann, Weinan Zhang, Ulrich Paquet, 2016, AAAI.

Why Propagate Alone? Parallel Use of Labels and Features on Graphs pdf

Quan Gan, David Wipf, Jiuhai Chen, 2021, ICLR.

Bid keyword suggestion in sponsored search based on competitiveness and relevance

Tie-Yan Liu, Ying Zhang, Xiaojie Yuan, 2014, Inf. Process. Manag..

Active Sentence Learning by Adversarial Uncertainty Sampling in Discrete Space

Weinan Zhang, Yong Yu, Lei Li, 2020, FINDINGS.

Sampled in Pairs and Driven by Text: A New Graph Embedding Framework

Ken Chen, Yong Yu, Liheng Chen, 2019, WWW.

CommunityGAN: Community Detection with Generative Adversarial Nets

Xinbing Wang, Weinan Zhang, Yuting Jia, 2019, WWW.

Learning Graph Representation With Generative Adversarial Nets

Minyi Guo, Xing Xie, Weinan Zhang, 2021, IEEE Transactions on Knowledge and Data Engineering.

Bidding Machine: Learning to Bid for Directly Optimizing Profits in Display Advertising

Weinan Zhang, Yifei Rong, Ke Chang, 2018, IEEE Transactions on Knowledge and Data Engineering.

Multi-Level Interaction Reranking with User Behavior History

Weinan Zhang, Jieming Zhu, Ruiming Tang, 2022, SIGIR.

Context-aware Reranking with Utility Maximization for Recommendation

Weinan Zhang, Ruiming Tang, Xiuqiang He, 2021, ArXiv.

Task-wise Split Gradient Boosting Trees for Multi-center Diabetes Prediction

Zhiyun Zhao, Yanru Qu, Xiawei Guo, 2021, KDD.

Display Advertising with Real-Time Bidding (RTB) and Behavioural Targeting pdf

Jun Wang, Weinan Zhang, Shuai Yuan, 2016, Found. Trends Inf. Retr..

Real-Time Bidding Benchmarking with iPinYou Dataset pdf

Jun Wang, Weinan Zhang, Shuai Yuan, 2014, ArXiv.

SeqGAN: Sequence Generative Adversarial Nets with Policy Gradient

Lantao Yu, Jun Wang, Yong Yu, 2016, AAAI.

W HY P ROPAGATE A LONE ? P ARALLEL U SE OF L ABELS AND F EATURES ON G RAPHS

Weinan Zhang, D. Wipf, Quan Gan, 2022 .

Bag of Tricks for Node Classification with Graph Neural Networks

Yong Yu, David Wipf, Weinan Zhang, 2021, 2103.13355.

Annotating Needles in the Haystack without Looking: Product Information Extraction from Emails

Alexander J. Smola, Weinan Zhang, Jie Yang, 2015, KDD.

Generative Adversarial Nets for Information Retrieval: Fundamentals and Advances

Weinan Zhang, Weinan Zhang, 2018, SIGIR.

IRGAN: A Minimax Game for Unifying Generative and Discriminative Information Retrieval Models

Peng Zhang, Lantao Yu, Yu Gong, 2017, SIGIR.

Multi-Agent Reinforcement Learning for Order-dispatching via Order-Vehicle Distribution Matching

Jieping Ye, Weinan Zhang, Ming Zhou, 2019, CIKM.

Aggregating Crowd Wisdom with Side Information via a Clustering-based Label-aware Autoencoder

Weinan Zhang, Yunfei Liu, Yong Yu, 2020, IJCAI.

Aggregating Crowd Wisdoms with Label-aware Autoencoders

Yong Yu, Weinan Zhang, Jianhua Han, 2017, IJCAI.

Multi-Agent Determinantal Q-Learning

Yaodong Yang, Weinan Zhang, Ying Wen, 2020, ICML.

Hybrid Actor-Critic Reinforcement Learning in Parameterized Action Space

Yong Yu, Weinan Zhang, Zhou Fan, 2019, IJCAI.

Neural Re-ranking in Multi-stage Recommender Systems: A Review

Weinan Zhang, Fei Sun, Ruiming Tang, 2022, IJCAI.

Efficient Architecture Search by Network Transformation

Yong Yu, Weinan Zhang, Han Cai, 2017, AAAI.

Dynamic Attention Deep Model for Article Recommendation by Learning Human Editors' Demonstration

Lantao Yu, Jun Wang, Yong Yu, 2017, KDD.

Wasserstein Distance Guided Representation Learning for Domain Adaptation

Jian Shen, Yong Yu, Weinan Zhang, 2017, AAAI.

Texygen: A Benchmarking Platform for Text Generation Models

Lei Zheng, Yong Yu, Weinan Zhang, 2018, SIGIR.

MapGo: Model-Assisted Policy Optimization for Goal-Oriented Tasks

Yong Yu, Menghui Zhu, Wei Yang, 2021, IJCAI.

GAKG: A Multimodal Geoscience Academic Knowledge Graph

Weinan Zhang, Chenghu Zhou, Xinbing Wang, 2021, CIKM.

Dynamically Fused Graph Network for Multi-hop Reasoning pdf

Lei Li, Weinan Zhang, Hao Zhou, 2019, ACL.

Lipschitz Generative Adversarial Nets

Lantao Yu, Zhihua Zhang, Yong Yu, 2019, ICML.

Activation Maximization Generative Adversarial Nets

Yong Yu, Weinan Zhang, Kan Ren, 2017 .

An Efficient Neighborhood-based Interaction Model for Recommendation on Heterogeneous Graph

Alexander J. Smola, Zheng Zhang, Weinan Zhang, 2020, KDD.

Interactive Recommender System via Knowledge Graph-enhanced Reinforcement Learning

Weinan Zhang, Xinyi Dai, Ruiming Tang, 2020, SIGIR.

AceKG: A Large-scale Knowledge Graph for Academic Data Mining

Xinbing Wang, Ye Zhang, Weinan Zhang, 2018, CIKM.

Spatio-Temporal Meta Learning for Urban Traffic Prediction

Weinan Zhang, Yong Yu, Wentao Zhang, 2020, IEEE Transactions on Knowledge and Data Engineering.

Deep Learning for Click-Through Rate Estimation

Weinan Zhang, Ruiming Tang, Wei Guo, 2021, IJCAI.

Sequential Recommendation with Dual Side Neighbor-based Collaborative Relation Modeling

Yong Yu, Weinan Zhang, Jiarui Qin, 2019, WSDM.

A Study of AI Population Dynamics with Million-agent Reinforcement Learning

Lantao Yu, Ying Wen, Weinan Zhang, 2017, AAMAS.

A Neural Stochastic Volatility Model pdf

Weinan Zhang, Jun Wang, Rui Luo, 2017, AAAI.

Triple-to-Text: Converting RDF Triples into High-Quality Natural Languages via Optimizing an Inverse KL Divergence

Liheng Chen, Weinan Zhang, Xin Jiang, 2019, SIGIR.

Probabilistic robust regression with adaptive weights — a case study on face recognition

Minyi Guo, Quan Chen, Weinan Zhang, 2020, Frontiers of Computer Science.

Learning text representation using recurrent convolutional neural network with highway layers pdf

Jun Wang, Ying Wen, Weinan Zhang, 2016, SIGIR 2016.

Path-Level Network Transformation for Efficient Architecture Search

Song Han, Yong Yu, Weinan Zhang, 2018, ICML.

Reinforcement Learning for Architecture Search by Network Transformation pdf

Jun Wang, Yong Yu, Weinan Zhang, 2017, ArXiv.

Layout Design for Intelligent Warehouse by Evolution With Fitness Approximation

Jun Wang, Yong Yu, Weinan Zhang, 2018, IEEE Access.

Risk-Hedged Venture Capital Investment Recommendation

Jun Wang, Weinan Zhang, Xiaoxue Zhao, 2015, RecSys.

Deep Recurrent Survival Analysis pdf

Lei Zheng, Yong Yu, Weinan Zhang, 2018, AAAI.

Real-Time Bidding with Multi-Agent Reinforcement Learning in Display Advertising

Weinan Zhang, Kun Gai, Han Li, 2018, CIKM.

Face Transfer with Generative Adversarial Network pdf

Yong Yu, Weinan Zhang, Zhiming Zhou, 2017, ArXiv.

AdaShift: Decorrelation and Convergence of Adaptive Learning Rate Methods pdf

Yong Yu, Weinan Zhang, Hongwei Wang, 2018, ICLR.

State representation modeling for deep reinforcement learning based recommendation

Yunming Ye, Weinan Zhang, Xutao Li, 2020, Knowl. Based Syst..

An end-to-end neighborhood-based interaction model for knowledge-enhanced recommendation

Weinan Zhang, Ting Bai, Yanru Qu, 2019, Proceedings of the 1st International Workshop on Deep Learning Practice for High-Dimensional Sparse Data.

MeDetect: Domain Entity Annotation in Biomedical References Using Linked Open Data

Li Tian, Haofen Wang, Yuan Ni, 2012, SEMWEB.

GraphGAN: Graph Representation Learning with Generative Adversarial Nets pdf

Minyi Guo, Xing Xie, Jia Wang, 2017, AAAI.

TuneSensor: A Semantic-Driven Music Recommendation Service For Digital Photo Albums

Yong Yu, Haofen Wang, Jiansong Chao, 2011 .

Offline Pre-trained Multi-agent Decision Transformer

Yaodong Yang, Weinan Zhang, Ying Wen, 2023, Machine Intelligence Research.

Interactive collaborative filtering

Jun Wang, Weinan Zhang, Xiaoxue Zhao, 2013, CIKM.

RITA: Boost Autonomous Driving Simulators with Realistic Interactive Traffic Flow

Weinan Zhang, Zhengbang Zhu, Minghuan Liu, 2022, arXiv.org.

Energy-Based Imitation Learning pdf

Weinan Zhang, Minkai Xu, Minghuan Liu, 2020, AAMAS.

Multi-View Graph Representation for Programming Language Processing: An Investigation into Algorithm Detection

Weinan Zhang, Qinxiang Cao, Yutong Xie, 2022, AAAI.

Optimizing top-n collaborative filtering via dynamic negative item sampling

Jun Wang, Yong Yu, Weinan Zhang, 2013, SIGIR.

Spatio-Temporal Graph Few-Shot Learning with Cross-City Knowledge Transfer

Weinan Zhang, Huaxiu Yao, Xinbing Wang, 2022, KDD.

MALib: A Parallel Framework for Population-based Multi-agent Reinforcement Learning pdf

Ying Wen, Yaodong Yang, Ziyu Wan, 2021, J. Mach. Learn. Res..

LambdaFM: Learning Optimal Ranking with Factorization Machines Using Lambda Surrogates

Weinan Zhang, Joemon M. Jose, Haitao Yu, 2016, CIKM.

CityFlow: A Multi-Agent Reinforcement Learning Environment for Large Scale City Traffic Scenario

Zihan Zhou, Weinan Zhang, Siyuan Feng, 2019, WWW.

Learning to Build High-Fidelity and Robust Environment Models

Zhenguo Li, Ruiming Tang, Yimin Huang, 2021, ECML/PKDD.

CoLight: Learning Network-level Cooperation for Traffic Signal Control

Nan Xu, Weinan Zhang, Yanmin Zhu, 2019, CIKM.

Large-scale Interactive Recommendation with Tree-structured Policy Gradient pdf

Yong Yu, Weinan Zhang, Han Cai, 2018, AAAI.

MAgent: A Many-Agent Reinforcement Learning Platform for Artificial Collective Intelligence pdf

Weinan Zhang, Jun Wang, Han Cai, 2017, AAAI.

SMARTS: An Open-Source Scalable Multi-Agent RL Training School for Autonomous Driving

Nhat M. Nguyen, Ming Zhou, Julian Villela, 2020, CoRL.

An Embedding Learning Framework for Numerical Features in CTR Prediction

Zhenguo Li, Huifeng Guo, Ruiming Tang, 2020, KDD.

BoostFM: Boosted Factorization Machines for Top-N Feature-based Recommendation

Weinan Zhang, Joemon M. Jose, Haitao Yu, 2017, IUI.

Learning to Retrieve User Behaviors for Click-Through Rate Estimation

Weinan Zhang, Ruiming Tang, Xiuqiang He, 2023, ACM Transactions on Information Systems.

User Behavior Retrieval for Click-Through Rate Prediction

Weinan Zhang, Yong Yu, Xin Wu, 2020, SIGIR.

Lifelong Sequential Modeling with Personalized Memorization for User Response Prediction

Lei Zheng, Jian Xu, Yong Yu, 2019, SIGIR.

Large-Scale Optimal Transport via Adversarial Training with Cycle-Consistency pdf

Yong Yu, Weinan Zhang, Jian Shen, 2020, ArXiv.

On the Equilibrium of Query Reformulation and Document Retrieval

Weinan Zhang, Dell Zhang, Jun Wang, 2018, ICTIR.

DRL4IR: 2nd Workshop on Deep Reinforcement Learning for Information Retrieval

Dawei Yin, Xiangyu Zhao, Grace Hui Yang, 2021, SIGIR.

Deep Reinforcement Learning for Information Retrieval: Fundamentals and Advances

Grace Hui Yang, Weinan Zhang, Li Zhao, 2020, SIGIR.

An Adversarial Imitation Click Model for Information Retrieval

Weinan Zhang, Jianye Hao, Shuai Li, 2021, WWW.

AceKG

Weinan Zhang, Ye Zhang, Xinbing Wang, 2018, Proceedings of the 27th ACM International Conference on Information and Knowledge Management.

CoLight

Weinan Zhang, Guanjie Zheng, Xinshi Zang, 2019, Proceedings of the 28th ACM International Conference on Information and Knowledge Management.

Retrieval & Interaction Machine for Tabular Data Prediction

Zhirong Liu, Ruiming Tang, Xiuqiang He, 2021, KDD.

LODDO: Using Linked Open Data Description Overlap to Measure Semantic Relatedness between Named Entities

Haofen Wang, Yong Yu, Weinan Zhang, 2011, JIST.

Automatical Graph-based Knowledge Tracing

Weinan Zhang, Yunfei Liu, Yong Yu, 2022 .

Sim-to-Real Transfer for Quadrupedal Locomotion via Terrain Transformer

Weinan Zhang, Zheng Tian, Hang Lai, 2022, 2023 IEEE International Conference on Robotics and Automation (ICRA).

Learning to Select Cuts for Efficient Mixed-Integer Programming pdf

Yong Yu, Jianye Hao, Furui Liu, 2021, Pattern Recognit..

Adversarial Representation Learning for Domain Adaptation pdf

Jian Shen, Yong Yu, Weinan Zhang, 2017, ArXiv.

Real-Time Bidding by Reinforcement Learning in Display Advertising

Jun Wang, Yong Yu, Weinan Zhang, 2017, WSDM.

User Response Learning for Directly Optimizing Campaign Performance in Display Advertising

Jun Wang, Yong Yu, Weinan Zhang, 2016, CIKM.

Managing Risk of Bidding in Display Advertising

Jun Wang, Weinan Zhang, Wenxin Li, 2017, WSDM.

Sobolev Wasserstein GAN pdf

Weinan Zhang, Yong Yu, Zhiming Zhou, 2020, ArXiv.

An empirical study of top-n recommendation for venture finance

Weinan Zhang, Xiaoxue Zhao, Thomas Stone, 2013, CIKM.

Exploring Diverse Expressions for Paraphrase Generation

Weinan Zhang, Xin Jiang, Yong Yu, 2019, EMNLP.

QA4IE: A Question Answering Based System for Document-Level General Information Extraction

Weinan Zhang, Lin Qiu, Dongyu Ru, 2020, IEEE Access.

MULTI-OBJECTIVE DRUG DISCOVERY

Weinan Zhang, Yong Yu, Hao Zhou, 2021 .

Tracing Knowledge State with Individual Cognition and Acquisition Estimation

Yong Yu, Yunfei Liu, Jian Shen, 2021, SIGIR.

An Empirical Study of AI Population Dynamics with Million-agent Reinforcement Learning pdf

Lantao Yu, Jun Wang, Ying Wen, 2017, ArXiv.

Set-to-Sequence Ranking-based Concept-aware Learning Path Recommendation

Weinan Zhang, Jian Shen, Menghui Zhu, 2023, AAAI.

CoT: Cooperative Training for Generative Modeling of Discrete Data

Lantao Yu, Weinan Zhang, Sidi Lu, 2018, ICML.

Learning Logic Rules for Document-Level Relation Extraction pdf

Dongyu Ru, Hao Zhou, Lei Li, 2021, EMNLP.

Large sequence models for sequential decision-making: a survey

Yaodong Yang, Weinan Zhang, Ying Wen, 2023, Frontiers of Computer Science.

PerfectDou: Dominating DouDizhu with Perfect Information Distillation

Weinan Zhang, Minghuan Liu, Yue Lin, 2022, NeurIPS.

Offline Pre-trained Multi-agent Decision Transformer

Yaodong Yang, Weinan Zhang, Ying Wen, 2023, Machine Intelligence Research.

LiteratureQA: A Qestion Answering Corpus with Graph Knowledge on Academic Literature

Weinan Zhang, Xinbing Wang, Haiwen Wang, 2021, CIKM.

Academic Reader: An Interactive Question Answering System on Academic Literatures

Xinbing Wang, Weinan Zhang, Yuting Jia, 2019, AAAI.

How Can Recommender Systems Benefit from Large Language Models: A Survey

Weinan Zhang, Ruiming Tang, Bo Chen, 2023, ArXiv.

Neural Text Generation: Past, Present and Beyond pdf

Yong Yu, Weinan Zhang, Jun Wang, 2018, 1803.07133.

SeqGAN: Sequence Generative Adversarial Nets with Policy Gradient

Weinan Zhang, Yong Yu, Jun Wang, 2016, AAAI.

Deep Landscape Forecasting for Real-time Bidding Advertising

Lei Zheng, Yong Yu, Weinan Zhang, 2019, KDD.

Optimizing Sponsored Search Ranking Strategy by Deep Reinforcement Learning pdf

Weinan Zhang, Li He, Bo Wu, 2018, ArXiv.

GIKT: A Graph-based Interaction Model for Knowledge Tracing pdf

Yong Yu, Yang Yang, Yaoming Zhu, 2020, ECML/PKDD.

Which Heroes to Pick? Learning to Draft in MOBA Games With Neural Networks and Tree Search

Menghui Zhu, Wei Yang, Weinan Zhang, 2020, IEEE Transactions on Games.

Geometer: Graph Few-Shot Class-Incremental Learning via Prototype Representation

Weinan Zhang, Lina Yang, Xinbing Wang, 2022, KDD.

Author Name Disambiguation on Heterogeneous Information Network with Adversarial Representation Learning

Xinbing Wang, Weinan Zhang, Yuting Jia, 2020, AAAI.

Model-based Multi-agent Policy Optimization with Adaptive Opponent-wise Rollouts

Ming Zhou, Weinan Zhang, Xihuai Wang, 2021, IJCAI.

Efficient and Robust High-Dimensional Linear Contextual Bandits

Weinan Zhang, Yong Yu, Cheng Chen, 2020, IJCAI.

Product-Based Neural Networks for User Response Prediction

Weinan Zhang, Yong Yu, Jun Wang, 2016, 2016 IEEE 16th International Conference on Data Mining (ICDM).

U-rank: Utility-oriented Learning to Rank with Implicit Feedback

Weinan Zhang, Yong Yu, Jun Wang, 2020, CIKM.

Pairwise multi-layer nets for learning distributed representation of multi-field categorical data

Jun Wang, Weinan Zhang, Ying Wen, 2019, Proceedings of the 1st International Workshop on Deep Learning Practice for High-Dimensional Sparse Data.

Universal Trading for Order Execution with Oracle Policy Distillation

Yong Yu, Yuchen Fang, Jiang Bian, 2021, AAAI.

Model-Based Offline Policy Optimization with Distribution Correcting Regularization

Mingcheng Chen, Jian Shen, Zhicheng Zhang, 2021, ECML/PKDD.

MAP: A Model-agnostic Pretraining Framework for Click-through Rate Prediction

Weinan Zhang, Ruiming Tang, Wei Guo, 2023, KDD.

Search-based Time-Aware Graph-Enhanced Recommendation with Sequential Behavior Data

Weinan Zhang, Yong Yu, Jiarui Jin, 2023, ACM Transactions on Recommender Systems.

ReLoop2: Building Self-Adaptive Recommendation Models via Responsive Error Compensation Loop

Weinan Zhang, Jieming Zhu, Ruiming Tang, 2023, KDD.

Who to Watch Next: Two-side Interactive Networks for Live Broadcast Recommendation

Weinan Zhang, Yong Yu, Jiarui Jin, 2022, WWW.

Learn over Past, Evolve for Future: Search-based Time-aware Recommendation with Sequential Behavior Data

Weinan Zhang, Yong Yu, Jiarui Jin, 2022, WWW.

Beyond Relevance Ranking: A General Graph Matching Framework for Utility-Oriented Learning to Rank

Weinan Zhang, Yong Yu, Jun Wang, 2021, ACM Trans. Inf. Syst..

Learning Interaction Models of Structured Neighborhood on Heterogeneous Information Network

Weinan Zhang, Alex Smola, Yong Yu, 2020, ArXiv.

Volume Ranking and Sequential Selection in Programmatic Display Advertising

Yong Yu, Weinan Zhang, Kan Ren, 2017, CIKM.

CoT: Cooperative Training for Generative Modeling

Weinan Zhang, Lantao Yu, Sidi Lu, 2018, ArXiv.

Fork or Fail: Cycle-Consistent Training with Many-to-One Mappings pdf

Zheng Zhang, Jun Zhu, Xipeng Qiu, 2020, AISTATS.

GeneraLight: Improving Environment Generalization of Traffic Signal Control via Meta Reinforcement Learning

Weinan Zhang, Yong Yu, Chang Liu, 2020, CIKM.

Advertising Keywords Recommendation for Short-Text Web Pages Using Wikipedia

Weinan Zhang, Hongyuan Zha, Gui-Rong Xue, 2012, TIST.

Replace Scoring with Arrangement: A Contextual Set-to-Arrangement Framework for Learning-to-Rank

Weinan Zhang, J. Wang, Yali Du, 2023, 2308.02860.

Dense Representation Learning and Retrieval for Tabular Data Prediction

Weinan Zhang, Quan Gan, Xianyu Chen, 2023, KDD.

Towards Open-World Recommendation with Knowledge Augmentation from Large Language Models

Weinan Zhang, Rui Zhang, Jieming Zhu, 2023, ArXiv.

Improving Knowledge Tracing with Collaborative Information

Weinan Zhang, Yong Yu, Jian Shen, 2022, WSDM.

On-device Integrated Re-ranking with Heterogeneous Behavior Modeling

Weinan Zhang, Y. Zhu, Rui Zhang, 2023, KDD.

Personalized Diversification for Neural Re-ranking in Recommendation

Weinan Zhang, Shuai Li, Rui Zhang, 2023, IEEE International Conference on Data Engineering.

Time-Series Representation Learning in Topology Prediction for Passive Optical Network of Telecom Operators

Weinan Zhang, Yuchen Fang, Yuxiang Zhao, 2023, Sensors.

DropNAS: Grouped Operation Dropout for Differentiable Architecture Search

Weinan Zhang, Yong Yu, Guilin Li, 2022, ArXiv.

Reducing Overestimation in Value Mixing for Cooperative Deep Multi-Agent Reinforcement Learning

Weinan Zhang, Zipeng Fu, Qingqing Zhao, 2019 .

Lipschitz Generative Adversarial Nets

Weinan Zhang, Yong Yu, Hongwei Wang, 2019, ICML.

QA4IE: A Question Answering based Framework for Information Extraction

Kewei Tu, Yong Yu, Weinan Zhang, 2018, SEMWEB.

To personalize or not: a risk management perspective

Jun Wang, Weinan Zhang, Bowei Chen, 2013, RecSys.

Efficient policy evaluation by matrix sketching

Weinan Zhang, Cheng Chen, Yong Yu, 2022, Frontiers of Computer Science.

AutoGen: An Automated Dynamic Model Generation Framework for Recommender System

Weinan Zhang, Ruiming Tang, Xiangyu Zhao, 2023, WSDM.

A Deep Recurrent Survival Model for Unbiased Ranking

Jian Xu, Weinan Zhang, Kan Ren, 2020, SIGIR.

CoRide: Joint Order Dispatching and Fleet Management for Multi-Scale Ride-Hailing Platforms

Jieping Ye, Ming Zhou, Weinan Zhang, 2019, CIKM.

Learning Adaptive Display Exposure for Real-Time Advertising

Jun Wang, Jian Xu, Weinan Zhang, 2018, CIKM.

Towards Collaborative Question Answering: A Preliminary Study

Xipeng Qiu, Zheng Zhang, Hang Yan, 2022, ArXiv.

Learning Decomposed Spatial Relations for Multi-Variate Time-Series Modeling

Weinan Zhang, Yuchen Fang, Caihua Shan, 2023, AAAI.

Feedback Control of Real-Time Display Advertising pdf

Jun Wang, Weinan Zhang, Xiao Fan Wang, 2016, WSDM.

Curriculum Offline Imitation Learning pdf

Li Zhao, Jian Shen, Tie-Yan Liu, 2021, NeurIPS.

Neural Link Prediction over Aligned Networks

Yong Yu, Weinan Zhang, Xuezhi Cao, 2018, AAAI.

Functional Bid Landscape Forecasting for Display Advertising

Jun Wang, Yong Yu, Weinan Zhang, 2016, ECML/PKDD.

Bid-aware Gradient Descent for Unbiased Learning with Censored Data in Display Advertising

Jun Wang, Jian Xu, Weinan Zhang, 2016, KDD.

Towards Efficient and Unbiased Implementation of Lipschitz Continuity in GANs pdf

Jian Shen, Yong Yu, Weinan Zhang, 2019, ArXiv.

Understanding the Effectiveness of Lipschitz-Continuity in Generative Adversarial Nets

Lantao Yu, Weinan Zhang, Yong Yu, 2018, 1807.00751.

Improving Negative Sampling for Word Representation using Self-embedded Features

Weinan Zhang, Joemon M. Jose, Fajie Yuan, 2017, WSDM.

Feature-Based Matrix Factorization pdf

Yong Yu, Weinan Zhang, Tianqi Chen, 2011, ArXiv.

Replace Scoring with Arrangement: A Contextual Set-to-Arrangement Framework for Learning-to-Rank

Weinan Zhang, J. Wang, Yali Du, 2023, arXiv.org.

Optimizing Factorization Machines for Top-N Context-Aware Recommendations

Weinan Zhang, Joemon M. Jose, Haitao Yu, 2016, WISE.

A Graph-Enhanced Click Model for Web Search

Yong Yu, Jianye Hao, Ruiming Tang, 2021, SIGIR.

ReLLa: Retrieval-enhanced Large Language Models for Lifelong Sequential Behavior Comprehension in Recommendation

Weinan Zhang, Ruiming Tang, Bo Chen, 2023, ArXiv.

Large-Scale Interactive Recommendation With Tree-Structured Reinforcement Learning

Weinan Zhang, Ruiming Tang, Xiuqiang He, 2023, IEEE Transactions on Knowledge and Data Engineering.

DRL4IR: 3rd Workshop on Deep Reinforcement Learning for Information Retrieval

Weinan Zhang, Xin Xin, Dawei Yin, 2022, SIGIR.

Towards Return Parity in Markov Decision Processes

Weinan Zhang, Han Zhao, Jian Shen, 2021, AISTATS.

Regioned Episodic Reinforcement Learning

Alexander J. Smola, Rasool Fakoor, David Wipf, 2021 .

Model-based Policy Optimization with Unsupervised Model Adaptation

Weinan Zhang, Yong Yu, Jian Shen, 2020, NeurIPS.

Graph Generative Models for Decoy Targets in Active Directory

Weinan Zhang, Jun Wang, Lantao Yu, 2020 .

TADS: Learning Time-Aware Scheduling Policy with Dyna-Style Planning for Spaced Repetition

Weinan Zhang, Jian Shen, Yang Yang, 2020, SIGIR.

Towards Open-World Recommendation with Knowledge Augmentation from Large Language Models

Weinan Zhang, Rui Zhang, Jieming Zhu, 2023, ArXiv.

Learning to Retrieve User Behaviors for Click-through Rate Estimation

Weinan Zhang, Ruiming Tang, Xiuqiang He, 2023, ACM Trans. Inf. Syst..

User-tag Profile Modeling in Recommendation System via Contrast Weighted Tag Masking

Weinan Zhang, Yong Yu, Chenxu Zhu, 2022, KDD.

GraphHINGE: Learning Interaction Models of Structured Neighborhood on Heterogeneous Information Network

Alexander J. Smola, Weinan Zhang, Yuchen Fang, 2020, ACM Trans. Inf. Syst..

ModularNAS: Towards Modularized and Reusable Neural Architecture Search

Weinan Zhang, Yong Yu, Guilin Li, 2021, MLSys.

RITA: Boost Driving Simulators with Realistic Interactive Traffic Flow

Weinan Zhang, Zhengbang Zhu, Minghuan Liu, 2022, DAI.

Learning to Advertise with Adaptive Exposure via Constrained Two-Level Reinforcement Learning pdf

Jian Xu, Weinan Zhang, Jianye Hao, 2018, ArXiv.

Delving Deep into Multiscale Pedestrian Detection via Single Scale Feature Maps

Jie Wu, Rui Yu, Weinan Zhang, 2018, Sensors.

Pedestrian Detection by Feature Selected Self-Similarity Features

Weinan Zhang, Shihai Shao, Rui Yu, 2018, IEEE Access.

Implicit Look-Alike Modelling in Display Ads - Transfer Collaborative Filtering to CTR Estimation

Jun Wang, Weinan Zhang, Lingxi Chen, 2016, ECIR.

Collaborative Filtering with Graph-Based Implicit Feedback

Yong Yu, Weinan Zhang, Ruiming Tang, 2017, 2017 International Conference on Computer Technology, Electronics and Communication (ICCTEC).

Neural Text Generation: Past, Present and Beyond

Weinan Zhang, Yong Yu, Jun Wang, 2018, ArXiv.

Inception Score, Label Smoothing, Gradient Vanishing and -log(D(x)) Alternative pdf

Jun Wang, Weinan Zhang, Zhiming Zhou, 2017, ArXiv.

Activation Maximization Generative Adversarial Nets

Weinan Zhang, Zhiming Zhou, Shunlin Rong, 2017, ICLR.

Signal Instructed Coordination in Cooperative Multi-agent Reinforcement Learning

Weinan Zhang, Yong Yu, Yali Du, 2019, DAI.

Order Matters: Agent-by-agent Policy Optimization

Weinan Zhang, Ying Wen, Zheng Tian, 2023, ICLR.

Label-Aware Double Transfer Learning for Cross-Specialty Medical Named Entity Recognition pdf

Ken Chen, Jian Shen, Yong Yu, 2018, NAACL.

Improving Robustness of Intent Detection Under Adversarial Attacks: A Geometric Constraint Perspective

Weinan Zhang, Jianxing Liu, Ligang Wu, 2023, IEEE Transactions on Neural Networks and Learning Systems.

A Feature-Based Coalition Game Framework with Privileged Knowledge Transfer for User-tag Profile Modeling

Weinan Zhang, Shuo Shao, Chenxu Zhu, 2023, KDD.

Learning Interaction Models of Structured Neighborhood on Heterogeneous Information Network pdf

Alexander J. Smola, Zheng Zhang, Weinan Zhang, 2020, ArXiv.