Weinan Zhang
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Computer Science
Weinan Zhang's Degrees
- PhD Computer Science Shanghai Jiao Tong University
- Bachelors Computer Science Shanghai Jiao Tong University
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(Suggest an Edit or Addition)Weinan Zhang's Published Works
Number of citations in a given year to any of this author's works
Total number of citations to an author for the works they published in a given year. This highlights publication of the most important work(s) by the author
Published Works
- SeqGAN: Sequence Generative Adversarial Nets with Policy Gradient (2016) (1933)
- Wasserstein Distance Guided Representation Learning for Domain Adaptation (2017) (569)
- Efficient Architecture Search by Network Transformation (2017) (499)
- IRGAN: A Minimax Game for Unifying Generative and Discriminative Information Retrieval Models (2017) (497)
- Product-Based Neural Networks for User Response Prediction (2016) (493)
- GraphGAN: Graph Representation Learning with Generative Adversarial Nets (2017) (463)
- Deep Learning over Multi-field Categorical Data - - A Case Study on User Response Prediction (2016) (395)
- Mean Field Multi-Agent Reinforcement Learning (2018) (393)
- Long Text Generation via Adversarial Training with Leaked Information (2017) (390)
- Texygen: A Benchmarking Platform for Text Generation Models (2018) (371)
- Optimal real-time bidding for display advertising (2014) (267)
- SVDFeature: a toolkit for feature-based collaborative filtering (2012) (241)
- GraphAF: a Flow-based Autoregressive Model for Molecular Graph Generation (2020) (232)
- Path-Level Network Transformation for Efficient Architecture Search (2018) (184)
- Real-Time Bidding by Reinforcement Learning in Display Advertising (2017) (177)
- Optimizing top-n collaborative filtering via dynamic negative item sampling (2013) (162)
- Unsupervised Diverse Colorization via Generative Adversarial Networks (2017) (161)
- CoLight: Learning Network-level Cooperation for Traffic Signal Control (2019) (157)
- Interactive collaborative filtering (2013) (153)
- Display Advertising with Real-Time Bidding (RTB) and Behavioural Targeting (2016) (152)
- Dynamically Fused Graph Network for Multi-hop Reasoning (2019) (151)
- MAgent: A Many-Agent Reinforcement Learning Platform for Artificial Collective Intelligence (2017) (145)
- Dynamic Attention Deep Model for Article Recommendation by Learning Human Editors' Demonstration (2017) (143)
- CityFlow: A Multi-Agent Reinforcement Learning Environment for Large Scale City Traffic Scenario (2019) (132)
- Real-Time Bidding with Multi-Agent Reinforcement Learning in Display Advertising (2018) (123)
- AutoFIS: Automatic Feature Interaction Selection in Factorization Models for Click-Through Rate Prediction (2020) (112)
- SMARTS: Scalable Multi-Agent Reinforcement Learning Training School for Autonomous Driving (2020) (102)
- Large-scale Interactive Recommendation with Tree-structured Policy Gradient (2018) (99)
- LambdaFM: Learning Optimal Ranking with Factorization Machines Using Lambda Surrogates (2016) (96)
- Towards Making the Most of BERT in Neural Machine Translation (2019) (94)
- Real-Time Bidding Benchmarking with iPinYou Dataset (2014) (91)
- Interactive Recommender System via Knowledge Graph-enhanced Reinforcement Learning (2020) (84)
- Deep Recurrent Survival Analysis (2018) (80)
- Lifelong Sequential Modeling with Personalized Memorization for User Response Prediction (2019) (78)
- An Efficient Neighborhood-based Interaction Model for Recommendation on Heterogeneous Graph (2020) (76)
- Activation Maximization Generative Adversarial Nets (2017) (68)
- Glancing Transformer for Non-Autoregressive Neural Machine Translation (2020) (68)
- CommunityGAN: Community Detection with Generative Adversarial Nets (2019) (68)
- Reinforcement Learning for Architecture Search by Network Transformation (2017) (67)
- AceKG: A Large-scale Knowledge Graph for Academic Data Mining (2018) (62)
- Neural Text Generation: Past, Present and Beyond (2018) (62)
- MARS: Markov Molecular Sampling for Multi-objective Drug Discovery (2021) (60)
- User Behavior Retrieval for Click-Through Rate Prediction (2020) (58)
- Lipschitz Generative Adversarial Nets (2019) (58)
- Bidding Machine: Learning to Bid for Directly Optimizing Profits in Display Advertising (2018) (57)
- CoRide: Joint Order Dispatching and Fleet Management for Multi-Scale Ride-Hailing Platforms (2019) (56)
- Multi-Agent Reinforcement Learning for Order-dispatching via Order-Vehicle Distribution Matching (2019) (55)
- Serendipitous Personalized Ranking for Top-N Recommendation (2012) (53)
- Label-Aware Double Transfer Learning for Cross-Specialty Medical Named Entity Recognition (2018) (52)
- Joint optimization of bid and budget allocation in sponsored search (2012) (52)
- Learning text representation using recurrent convolutional neural network with highway layers (2016) (51)
- Bid-aware Gradient Descent for Unbiased Learning with Censored Data in Display Advertising (2016) (51)
- AdaShift: Decorrelation and Convergence of Adaptive Learning Rate Methods (2018) (50)
- Multi-Agent Determinantal Q-Learning (2020) (50)
- Spatio-Temporal Meta Learning for Urban Traffic Prediction (2020) (50)
- Feedback Control of Real-Time Display Advertising (2016) (50)
- Feature-Based Matrix Factorization (2011) (50)
- Hybrid Actor-Critic Reinforcement Learning in Parameterized Action Space (2019) (48)
- Local implicit feedback mining for music recommendation (2012) (48)
- Improving Negative Sampling for Word Representation using Self-embedded Features (2017) (42)
- Bi-level Actor-Critic for Multi-agent Coordination (2019) (42)
- Factorized Q-learning for large-scale multi-agent systems (2018) (42)
- Deep Learning for Click-Through Rate Estimation (2021) (42)
- A Neural Stochastic Volatility Model (2017) (41)
- An Embedding Learning Framework for Numerical Features in CTR Prediction (2020) (39)
- Aggregating Crowd Wisdoms with Label-aware Autoencoders (2017) (39)
- GIKT: A Graph-based Interaction Model for Knowledge Tracing (2020) (38)
- An end-to-end neighborhood-based interaction model for knowledge-enhanced recommendation (2019) (37)
- Advertising Keywords Recommendation for Short-Text Web Pages Using Wikipedia (2012) (36)
- DropNAS: Grouped Operation Dropout for Differentiable Architecture Search (2020) (36)
- fBGD: Learning Embeddings From Positive Unlabeled Data with BGD (2018) (36)
- Learning Graph Representation With Generative Adversarial Nets (2021) (35)
- Face Transfer with Generative Adversarial Network (2017) (34)
- User Response Learning for Directly Optimizing Campaign Performance in Display Advertising (2016) (34)
- Bid keyword suggestion in sponsored search based on competitiveness and relevance (2014) (32)
- A Study of AI Population Dynamics with Million-agent Reinforcement Learning (2017) (32)
- Deep Reinforcement Learning for Information Retrieval: Fundamentals and Advances (2020) (31)
- Exploring Diverse Expressions for Paraphrase Generation (2019) (31)
- Sequential Recommendation with Dual Side Neighbor-based Collaborative Relation Modeling (2019) (30)
- Adversarial Representation Learning for Domain Adaptation (2017) (30)
- Statistical Arbitrage Mining for Display Advertising (2015) (30)
- A Machine Learning Approach to Prevent Malicious Calls over Telephony Networks (2018) (30)
- Bag of Tricks for Node Classification with Graph Neural Networks (2021) (29)
- CoT: Cooperative Training for Generative Modeling of Discrete Data (2018) (28)
- To personalize or not: a risk management perspective (2013) (27)
- Learning Multi-touch Conversion Attribution with Dual-attention Mechanisms for Online Advertising (2018) (27)
- BoostFM: Boosted Factorization Machines for Top-N Feature-based Recommendation (2017) (26)
- State representation modeling for deep reinforcement learning based recommendation (2020) (26)
- Functional Bid Landscape Forecasting for Display Advertising (2016) (26)
- Learning to Select Cuts for Efficient Mixed-Integer Programming (2021) (25)
- Bidirectional Model-based Policy Optimization (2020) (25)
- Annotating Needles in the Haystack without Looking: Product Information Extraction from Emails (2015) (24)
- CycleGT: Unsupervised Graph-to-Text and Text-to-Graph Generation via Cycle Training (2020) (24)
- “We make choices we think are going to save us”: Debate and stance identification for online breast cancer CAM discussions (2017) (23)
- Triple-to-Text: Converting RDF Triples into High-Quality Natural Languages via Optimizing an Inverse KL Divergence (2019) (23)
- Deep Landscape Forecasting for Real-time Bidding Advertising (2019) (22)
- Goal-Conditioned Reinforcement Learning: Problems and Solutions (2022) (21)
- Energy-Based Imitation Learning (2020) (21)
- An empirical study of top-n recommendation for venture finance (2013) (20)
- Tracing Knowledge State with Individual Cognition and Acquisition Estimation (2021) (20)
- Universal Trading for Order Execution with Oracle Policy Distillation (2021) (20)
- Offline Pre-trained Multi-agent Decision Transformer (2023) (19)
- Author Name Disambiguation on Heterogeneous Information Network with Adversarial Representation Learning (2020) (18)
- Inception Score, Label Smoothing, Gradient Vanishing and -log(D(x)) Alternative (2017) (17)
- TuneSensor: A Semantic-Driven Music Recommendation Service For Digital Photo Albums (2011) (17)
- Collective Noise Contrastive Estimation for Policy Transfer Learning (2016) (16)
- Model-based Policy Optimization with Unsupervised Model Adaptation (2020) (15)
- CoT: Cooperative Training for Generative Modeling (2018) (15)
- Multi-Agent Reinforcement Learning is a Sequence Modeling Problem (2022) (14)
- Informative Ensemble of Multi-Resolution Dynamic Factorization Models (2011) (14)
- Multi-Agent Interactions Modeling with Correlated Policies (2020) (14)
- Active Sentence Learning by Adversarial Uncertainty Sampling in Discrete Space (2020) (14)
- MALib: A Parallel Framework for Population-based Multi-agent Reinforcement Learning (2021) (14)
- IRGAN (2017) (13)
- Offline Pre-trained Multi-Agent Decision Transformer: One Big Sequence Model Tackles All SMAC Tasks (2021) (13)
- A Deep Recurrent Survival Model for Unbiased Ranking (2020) (13)
- Neural Link Prediction over Aligned Networks (2018) (13)
- QA4IE: A Question Answering based Framework for Information Extraction (2018) (13)
- Risk-Hedged Venture Capital Investment Recommendation (2015) (13)
- Implicit Look-Alike Modelling in Display Ads - Transfer Collaborative Filtering to CTR Estimation (2016) (12)
- A Graph-Enhanced Click Model for Web Search (2021) (12)
- GeneraLight: Improving Environment Generalization of Traffic Signal Control via Meta Reinforcement Learning (2020) (12)
- Which Heroes to Pick? Learning to Draft in MOBA Games With Neural Networks and Tree Search (2020) (12)
- Optimizing Factorization Machines for Top-N Context-Aware Recommendations (2016) (11)
- Model-based Multi-agent Policy Optimization with Adaptive Opponent-wise Rollouts (2021) (11)
- Managing Risk of Bidding in Display Advertising (2017) (11)
- SMARTS: An Open-Source Scalable Multi-Agent RL Training School for Autonomous Driving (2020) (11)
- Multiple Hypothesis Video Relation Detection (2019) (11)
- An Adversarial Imitation Click Model for Information Retrieval (2021) (11)
- Large-Scale Optimal Transport via Adversarial Training with Cycle-Consistency (2020) (11)
- An Empirical Study on Display Ad Impression Viewability Measurements (2015) (11)
- Cataloguing Treatments Discussed and Used in Online Autism Communities (2017) (11)
- GAKG: A Multimodal Geoscience Academic Knowledge Graph (2021) (11)
- Learning to Design Games: Strategic Environments in Reinforcement Learning (2017) (11)
- AIM: Automatic Interaction Machine for Click-Through Rate Prediction (2021) (10)
- Generative Adversarial Nets for Information Retrieval: Fundamentals and Advances (2018) (10)
- Retrieval & Interaction Machine for Tabular Data Prediction (2021) (10)
- MeDetect: A LOD-Based System for Collective Entity Annotation in Biomedicine (2013) (9)
- Nested Named Entity Recognition with Span-level Graphs (2022) (9)
- Improving Unsupervised Domain Adaptation with Variational Information Bottleneck (2019) (9)
- Generative Adversarial Nets with Labeled Data by Activation Maximization (2017) (8)
- Understanding the Effectiveness of Lipschitz-Continuity in Generative Adversarial Nets (2018) (8)
- Texygen (2018) (8)
- Collaborative filtering with short term preferences mining (2012) (8)
- Optimal Real-Time Bidding Frameworks Discussion (2016) (8)
- AceKG (2018) (8)
- DRL4IR: 2nd Workshop on Deep Reinforcement Learning for Information Retrieval (2021) (7)
- Neural Re-ranking in Multi-stage Recommender Systems: A Review (2022) (7)
- U-rank: Utility-oriented Learning to Rank with Implicit Feedback (2020) (7)
- LODDO: Using Linked Open Data Description Overlap to Measure Semantic Relatedness between Named Entities (2011) (7)
- Layout Design for Intelligent Warehouse by Evolution With Fitness Approximation (2018) (7)
- PerfectDou: Dominating DouDizhu with Perfect Information Distillation (2022) (7)
- Fork or Fail: Cycle-Consistent Training with Many-to-One Mappings (2020) (7)
- Aggregating Crowd Wisdom with Side Information via a Clustering-based Label-aware Autoencoder (2020) (7)
- Improving Knowledge Tracing with Collaborative Information (2022) (7)
- Task-wise Split Gradient Boosting Trees for Multi-center Diabetes Prediction (2021) (6)
- Learning to Advertise with Adaptive Exposure via Constrained Two-Level Reinforcement Learning (2018) (6)
- Academic Reader: An Interactive Question Answering System on Academic Literatures (2019) (6)
- An Empirical Study of AI Population Dynamics with Million-agent Reinforcement Learning (2017) (6)
- MapGo: Model-Assisted Policy Optimization for Goal-Oriented Tasks (2021) (6)
- Pedestrian Detection by Feature Selected Self-Similarity Features (2018) (6)
- CoLight (2019) (6)
- Context-aware Reranking with Utility Maximization for Recommendation (2021) (6)
- Informative household recommendation with feature-based matrix factorization (2011) (6)
- Delving Deep into Multiscale Pedestrian Detection via Single Scale Feature Maps (2018) (6)
- Learning Adaptive Display Exposure for Real-Time Advertising (2018) (6)
- RankFlow: Joint Optimization of Multi-Stage Cascade Ranking Systems as Flows (2022) (6)
- Learning Logic Rules for Document-Level Relation Extraction (2021) (6)
- Truth Inference With a Deep Clustering-Based Aggregation Model (2020) (6)
- Towards Efficient and Unbiased Implementation of Lipschitz Continuity in GANs (2019) (6)
- Learning to Design Games: Strategic Environments in Deep Reinforcement Learning (2017) (5)
- Geometer: Graph Few-Shot Class-Incremental Learning via Prototype Representation (2022) (5)
- On Effective Scheduling of Model-based Reinforcement Learning (2021) (5)
- Real-Time Bidding Based Display Advertising: Mechanisms and Algorithms (2016) (5)
- Curriculum Offline Imitating Learning (2021) (5)
- Plan Your Target and Learn Your Skills: Transferable State-Only Imitation Learning via Decoupled Policy Optimization (2022) (5)
- Deep Classifier for Large Scale Hierarchical Text Classification (2009) (5)
- On the Equilibrium of Query Reformulation and Document Retrieval (2018) (5)
- Optimizing Sponsored Search Ranking Strategy by Deep Reinforcement Learning (2018) (5)
- CoRide (2019) (5)
- Efficient Projection-Free Algorithms for Saddle Point Problems (2020) (5)
- Learn over Past, Evolve for Future: Search-based Time-aware Recommendation with Sequential Behavior Data (2022) (5)
- AutoFIS (2020) (4)
- A Bootstrapping Framework With Interactive Information Modeling for Network Alignment (2018) (4)
- Multi-Level Interaction Reranking with User Behavior History (2022) (4)
- Why Propagate Alone? Parallel Use of Labels and Features on Graphs (2021) (4)
- MeDetect: Domain Entity Annotation in Biomedical References Using Linked Open Data (2012) (4)
- Reducing Overestimation in Value Mixing for Cooperative Deep Multi-Agent Reinforcement Learning (2019) (4)
- A semantic approach to recommending text advertisements for images (2012) (4)
- Efficient Spectrum-Revealing CUR Matrix Decomposition (2020) (4)
- Learning over categorical data using counting features: with an application on click-through rate estimation (2019) (3)
- A Semantic-Driven Music Recommendation Model for Digital Photo Albums (2012) (3)
- GraphHINGE: Learning Interaction Models of Structured Neighborhood on Heterogeneous Information Network (2022) (3)
- Multi-View Graph Representation for Programming Language Processing: An Investigation into Algorithm Detection (2022) (3)
- Content Recommendation by Noise Contrastive Transfer Learning of Feature Representation (2017) (3)
- TADS: Learning Time-Aware Scheduling Policy with Dyna-Style Planning for Spaced Repetition (2020) (3)
- Generative adversarial exploration for reinforcement learning (2019) (3)
- Towards Return Parity in Markov Decision Processes (2021) (3)
- Efficient and Robust High-Dimensional Linear Contextual Bandits (2020) (3)
- QA4IE: A Question Answering Based System for Document-Level General Information Extraction (2020) (3)
- Cat2Vec: Learning Distributed Representation of Multi-field Categorical Data (2016) (3)
- Signal Instructed Coordination in Cooperative Multi-agent Reinforcement Learning (2019) (3)
- Spatio-Temporal Graph Few-Shot Learning with Cross-City Knowledge Transfer (2022) (3)
- Learning to Build High-Fidelity and Robust Environment Models (2021) (3)
- Collaborative Filtering with Graph-Based Implicit Feedback (2018) (2)
- Probabilistic robust regression with adaptive weights — a case study on face recognition (2020) (2)
- PAEG: Phrase-level Adversarial Example Generation for Neural Machine Translation (2022) (2)
- Learning Interaction Models of Structured Neighborhood on Heterogeneous Information Network (2020) (2)
- Learning to Advertise for Organic Traffic Maximization in E-Commerce Product Feeds (2019) (2)
- Model-Based Offline Policy Optimization with Distribution Correcting Regularization (2021) (2)
- ModularNAS: Towards Modularized and Reusable Neural Architecture Search (2021) (2)
- Multi-Scale User Behavior Network for Entire Space Multi-Task Learning (2022) (2)
- Inductive Relation Prediction Using Analogy Subgraph Embeddings (2022) (2)
- Pairwise multi-layer nets for learning distributed representation of multi-field categorical data (2019) (1)
- Learning to Retrieve User Behaviors for Click-Through Rate Estimation (2023) (1)
- TGE-PS: Text-driven Graph Embedding with Pairs Sampling (2018) (1)
- Sobolev Wasserstein GAN (2020) (1)
- Volume Ranking and Sequential Selection in Programmatic Display Advertising (2017) (1)
- QA4PRF: A Question Answering based Framework for Pseudo Relevance Feedback (2021) (1)
- Combo-Fashion: Fashion Clothes Matching CTR Prediction with Item History (2022) (1)
- TrajGuard (2019) (1)
- TrajGuard: A Comprehensive Trajectory Copyright Protection Scheme (2019) (1)
- Signal Instructed Coordination in Team Competition (2019) (1)
- QuAChIE: Question Answering based Chinese Information Extraction System (2020) (1)
- Beyond Relevance Ranking: A General Graph Matching Framework for Utility-Oriented Learning to Rank (2021) (1)
- An adaptive coding and modulation based multicast scheme to reduce bandwidth consumption in the next generation satellite TV systems (2017) (1)
- RITA: Boost Autonomous Driving Simulators with Realistic Interactive Traffic Flow (2022) (1)
- Understanding or Manipulation: Rethinking Online Performance Gains of Modern Recommender Systems (2022) (1)
- Learning to Infer User Hidden States for Online Sequential Advertising (2020) (1)
- Automatical Graph-based Knowledge Tracing (1)
- Deep Policy Optimization for E-commerce Sponsored Search Ranking Strategy (2018) (1)
- Sampled in Pairs and Driven by Text: A New Graph Embedding Framework (2019) (1)
- LiteratureQA: A Qestion Answering Corpus with Graph Knowledge on Academic Literature (2021) (1)
- A Bird's-eye View of Reranking: From List Level to Page Level (2022) (1)
- Promoting Quality and Diversity in Population-based Reinforcement Learning via Hierarchical Trajectory Space Exploration (2022) (1)
- Efficient policy evaluation by matrix sketching (2022) (1)
- G T ] 3 M ar 2 01 6 Feedback Control of Real-Time Display Advertising (2016) (1)
- 4th Workshop on Deep Learning Practice and Theory for High-Dimensional Sparse and Imbalanced Data with KDD 2022 (2022) (0)
- AutoGen: An Automated Dynamic Model Generation Framework for Recommender System (2023) (0)
- Branch Ranking for Efficient Mixed-Integer Programming via Offline Ranking-based Policy Learning (2022) (0)
- Graph Generative Models for Decoy Targets in Active Directory (2020) (0)
- Heterogeneous Graph Representation for Knowledge Tracing (2022) (0)
- I NDUCTIVE R ELATION P REDICTION U SING A NALOGY S UBGRAPH E MBEDDINGS (2022) (0)
- Large-Scale Interactive Recommendation With Tree-Structured Reinforcement Learning (2023) (0)
- Refined Edge Usage of Graph Neural Networks for Edge Prediction (2022) (0)
- Efficient Policy Space Response Oracles (2022) (0)
- Towards Collaborative Question Answering: A Preliminary Study (2022) (0)
- An F-shape Click Model for Information Retrieval on Multi-block Mobile Pages (2022) (0)
- MULTI-OBJECTIVE DRUG DISCOVERY (2021) (0)
- Learning to Distinguish Multi-User Coupling Behaviors for TV Recommendation (2023) (0)
- A gradient boosting tree model for multi-department venous thromboembolism risk assessment with imbalanced data (2022) (0)
- ADAPTIVE LEARNING RATE METHODS (2018) (0)
- Curriculum Offline Imitation Learning (2021) (0)
- W HY P ROPAGATE A LONE ? P ARALLEL U SE OF L ABELS AND F EATURES ON G RAPHS (2022) (0)
- Multi-Modal Imitation Learning in Partially Observable Environments (2019) (0)
- Order Matters: Agent-by-agent Policy Optimization (2023) (0)
- Aggregating Intra-class and Inter-class Information for Multi-label Text Classification (2022) (0)
- Retrieval-Based Gradient Boosting Decision Trees for Disease Risk Assessment (2022) (0)
- Reciprocal Supervised Learning Improves Neural Machine Translation (2020) (0)
- Forgetting Fast in Recommender Systems (2022) (0)
- 3rd International Workshop on Deep Learning Practice for High-Dimensional Sparse Data with KDD 2021 (2021) (0)
- Sequential Advertising Agent with Interpretable User Hidden Intents (2020) (0)
- Who to Watch Next: Two-side Interactive Networks for Live Broadcast Recommendation (2022) (0)
- Regioned Episodic Reinforcement Learning (2021) (0)
- RankFlow (2022) (0)
- Step 1 : Entity Recognition Step 3 : Question Answering System Answer List (2018) (0)
- Time-Series Representation Learning in Topology Prediction for Passive Optical Network of Telecom Operators (2023) (0)
- Neural Statistics for Click-Through Rate Prediction (2022) (0)
- Feature Based Informative Model for Discriminating Favorite Items from Unrated Ones (2012) (0)
- Learning Enhanced Representations for Tabular Data via Neighborhood Propagation (2022) (0)
- AM-GAN: Improved Usage of Class-Labels in Generative Adversarial Nets (2017) (0)
- Sim-to-Real Transfer for Quadrupedal Locomotion via Terrain Transformer (2022) (0)
- DRL4IR: 3rd Workshop on Deep Reinforcement Learning for Information Retrieval (2022) (0)
- User-tag Profile Modeling in Recommendation System via Contrast Weighted Tag Masking (2022) (0)
- Branch Ranking for Efficient Mixed-Integer Programming via Offline Ranking-based Policy Learning (2022) (0)
- CIKM 2019 Workshop on Artificial Intelligence in Transportation (AI in transportation) (2019) (0)
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