Weinan Zhang

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

Learning to rank with implicit feedback is one of the most important tas...
11/01/2020 ∙ by Xinyi Dai, et al. ∙ 0 ∙ share

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Efficient Projection-Free Algorithms for Saddle Point Problems

The Frank-Wolfe algorithm is a classic method for constrained optimizati...
10/21/2020 ∙ by Cheng Chen, et al. ∙ 0 ∙ share

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Model-based Policy Optimization with Unsupervised Model Adaptation

Model-based reinforcement learning methods learn a dynamics model with r...
10/19/2020 ∙ by Jian Shen, et al. ∙ 0 ∙ share

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A Compare Aggregate Transformer for Understanding Document-grounded Dialogue

Unstructured documents serving as external knowledge of the dialogues he...
10/01/2020 ∙ by Longxuan Ma, et al. ∙ 0 ∙ share

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

The heavy traffic congestion problem has always been a concern for moder...
09/17/2020 ∙ by Chang Liu, et al. ∙ 9 ∙ share

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GIKT: A Graph-based Interaction Model for Knowledge Tracing

With the rapid development in online education, knowledge tracing (KT) h...
09/13/2020 ∙ by Yang Yang, et al. ∙ 19 ∙ share

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Learning to Infer User Hidden States for Online Sequential Advertising

To drive purchase in online advertising, it is of the advertiser's great...
09/03/2020 ∙ by Zhaoqing Peng, et al. ∙ 8 ∙ share

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Glancing Transformer for Non-Autoregressive Neural Machine Translation

Non-autoregressive neural machine translation achieves remarkable infere...
08/18/2020 ∙ by Lihua Qian, et al. ∙ 0 ∙ share

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Bidirectional Model-based Policy Optimization

Model-based reinforcement learning approaches leverage a forward dynamic...
07/04/2020 ∙ by Hang Lai, et al. ∙ 8 ∙ share

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Interactive Recommender System via Knowledge Graph-enhanced Reinforcement Learning

Interactive recommender system (IRS) has drawn huge attention because of...
06/18/2020 ∙ by Sijin Zhou, et al. ∙ 0 ∙ share

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CycleGT: Unsupervised Graph-to-Text and Text-to-Graph Generation via Cycle Training

Two important tasks at the intersection of knowledge graphs and natural ...
06/08/2020 ∙ by Qipeng Guo, et al. ∙ 10 ∙ share

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Counterfactual Off-Policy Training for Neural Response Generation

Learning a neural response generation model on data synthesized under th...
04/29/2020 ∙ by Qingfu Zhu, et al. ∙ 0 ∙ share

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Energy-Based Imitation Learning

We tackle a common scenario in imitation learning (IL), where agents try...
04/20/2020 ∙ by Minghuan Liu, et al. ∙ 0 ∙ share

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Active Sentence Learning by Adversarial Uncertainty Sampling in Discrete Space

In this paper, we focus on reducing the labeled data size for sentence l...
04/17/2020 ∙ by Dongyu Ru, et al. ∙ 0 ∙ share

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

Learning effective feature interactions is crucial for click-through rat...
03/25/2020 ∙ by Bin Liu, et al. ∙ 2 ∙ share

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

Recent advances in large-scale optimal transport have greatly extended i...
03/14/2020 ∙ by Guansong Lu, et al. ∙ 16 ∙ share

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Author Name Disambiguation on Heterogeneous Information Network with Adversarial Representation Learning

Author name ambiguity causes inadequacy and inconvenience in academic in...
02/23/2020 ∙ by Haiwen Wang, et al. ∙ 0 ∙ share

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

Molecular graph generation is a fundamental problem for drug discovery a...
01/26/2020 ∙ by Chence Shi, et al. ∙ 20 ∙ share

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Multi-Agent Interactions Modeling with Correlated Policies

In multi-agent systems, complex interacting behaviors arise due to the h...
01/04/2020 ∙ by Minghuan Liu, et al. ∙ 0 ∙ share

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Improving Unsupervised Domain Adaptation with Variational Information Bottleneck

Domain adaptation aims to leverage the supervision signal of source doma...
11/21/2019 ∙ by Yuxuan Song, et al. ∙ 0 ∙ share

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Sequential Recommendation with Dual Side Neighbor-based Collaborative Relation Modeling

Sequential recommendation task aims to predict user preference over item...
11/10/2019 ∙ by Jiarui Qin, et al. ∙ 0 ∙ share

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

Improving the efficiency of dispatching orders to vehicles is a research...
10/07/2019 ∙ by Ming Zhou, et al. ∙ 0 ∙ share

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Signal Instructed Coordination in Team Competition

Most existing models of multi-agent reinforcement learning (MARL) adopt ...
09/10/2019 ∙ by Liheng Chen, et al. ∙ 11 ∙ share

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Signal Instructed Coordination in Cooperative Multi-agent Reinforcement Learning

In many real-world problems, a team of agents need to collaborate to max...
09/10/2019 ∙ by Liheng Chen, et al. ∙ 0 ∙ share

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Bi-level Actor-Critic for Multi-agent Coordination

Coordination is one of the essential problems in multi-agent systems. Ty...
09/08/2019 ∙ by Haifeng Zhang, et al. ∙ 0 ∙ share

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Learning to Advertise for Organic Traffic Maximization in E-Commerce Product Feeds

Most e-commerce product feeds provide blended results of advertised prod...
08/19/2019 ∙ by Dagui Chen, et al. ∙ 0 ∙ share

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Towards Making the Most of BERT in Neural Machine Translation

GPT-2 and BERT demonstrate the effectiveness of using pre-trained langua...
08/15/2019 ∙ by Jiacheng Yang, et al. ∙ 0 ∙ share

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An End-to-End Neighborhood-based Interaction Model for Knowledge-enhanced Recommendation

This paper studies graph-based recommendation, where an interaction grap...
08/12/2019 ∙ by Yanru Qu, et al. ∙ 0 ∙ share

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

How to optimally dispatch orders to vehicles and how to trade off betwee...
05/27/2019 ∙ by Jiarui Jin, et al. ∙ 0 ∙ share

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

Knowledge base is one of the main forms to represent information in a st...
05/25/2019 ∙ by Yaoming Zhu, et al. ∙ 0 ∙ share

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Dynamically Fused Graph Network for Multi-hop Reasoning

Text-based question answering (TBQA) has been studied extensively in rec...
05/16/2019 ∙ by Yunxuan Xiao, et al. ∙ 0 ∙ share

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

Traffic signal control is an emerging application scenario for reinforce...
05/13/2019 ∙ by Huichu Zhang, et al. ∙ 0 ∙ share

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CoLight: Learning Network-level Cooperation for Traffic Signal Control

Cooperation is critical in multi-agent reinforcement learning (MARL). In...
05/11/2019 ∙ by Hua Wei, et al. ∙ 0 ∙ share

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Deep Landscape Forecasting for Real-time Bidding Advertising

The emergence of real-time auction in online advertising has drawn huge ...
05/07/2019 ∙ by Kan Ren, et al. ∙ 0 ∙ share

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Lifelong Sequential Modeling with Personalized Memorization for User Response Prediction

User response prediction, which models the user preference w.r.t. the pr...
05/02/2019 ∙ by Kan Ren, et al. ∙ 0 ∙ share

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Towards Efficient and Unbiased Implementation of Lipschitz Continuity in GANs

Lipschitz continuity recently becomes popular in generative adversarial ...
04/02/2019 ∙ by Zhiming Zhou, et al. ∙ 0 ∙ share

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Hybrid Actor-Critic Reinforcement Learning in Parameterized Action Space

In this paper we propose a hybrid architecture of actor-critic algorithm...
03/04/2019 ∙ by Zhou Fan, et al. ∙ 1 ∙ share

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Lipschitz Generative Adversarial Nets

In this paper we study the convergence of generative adversarial network...
02/15/2019 ∙ by Zhiming Zhou, et al. ∙ 0 ∙ share

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CommunityGAN: Community Detection with Generative Adversarial Nets

Community detection refers to the task of discovering groups of vertices...
01/20/2019 ∙ by Yuting Jia, et al. ∙ 0 ∙ share

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Large-scale Interactive Recommendation with Tree-structured Policy Gradient

Reinforcement learning (RL) has recently been introduced to interactive ...
11/14/2018 ∙ by Haokun Chen, et al. ∙ 0 ∙ share

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Layout Design for Intelligent Warehouse by Evolution with Fitness Approximation

With the rapid growth of the express industry, intelligent warehouses th...
11/14/2018 ∙ by Haifeng Zhang, et al. ∙ 6 ∙ share

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AdaShift: Decorrelation and Convergence of Adaptive Learning Rate Methods

Adam is shown not being able to converge to the optimal solution in cert...
09/29/2018 ∙ by Zhiming Zhou, et al. ∙ 0 ∙ share

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Retrieval-Enhanced Adversarial Training for Neural Response Generation

Dialogue systems are usually built on either generation-based or retriev...
09/12/2018 ∙ by Qingfu Zhu, et al. ∙ 0 ∙ share

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TGE-PS: Text-driven Graph Embedding with Pairs Sampling

In graphs with rich text information, constructing expressive graph repr...
09/12/2018 ∙ by Liheng Chen, et al. ∙ 0 ∙ share

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Factorized Q-Learning for Large-Scale Multi-Agent Systems

Deep Q-learning has achieved a significant success in single-agent decis...
09/11/2018 ∙ by Yong Chen, et al. ∙ 0 ∙ share

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

For online advertising in e-commerce, the traditional problem is to assi...
09/10/2018 ∙ by Weixun Wang, et al. ∙ 0 ∙ share

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Deep Recurrent Survival Analysis

Survival analysis is a hotspot in statistical research for modeling time...
09/07/2018 ∙ by Kan Ren, et al. ∙ 0 ∙ share

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Learning Multi-touch Conversion Attribution with Dual-attention Mechanisms for Online Advertising

In online advertising, the Internet users may be exposed to a sequence o...
08/11/2018 ∙ by Kan Ren, et al. ∙ 0 ∙ share

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

Most existing knowledge graphs (KGs) in academic domains suffer from pro...
07/23/2018 ∙ by Ruijie Wang, et al. ∙ 0 ∙ share

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On the Equilibrium of Query Reformulation and Document Retrieval

In this paper, we study the interactions between query reformulation and...
07/06/2018 ∙ by Shihao Zou, et al. ∙ 0 ∙ share

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Weinan Zhang

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