b'Weinan Zhang'

research

∙ 07/26/2022

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

Deriving a good variable selection strategy in branch-and-bound is essen...

Zeren Huang, et al. ∙

research

∙ 06/17/2022

A Graph-Enhanced Click Model for Web Search

To better exploit search logs and model users' behavior patterns, numero...

Jianghao Lin, et al. ∙

research

∙ 06/17/2022

Bootstrapped Transformer for Offline Reinforcement Learning

Offline reinforcement learning (RL) aims at learning policies from previ...

Kerong Wang, et al. ∙

research

∙ 05/27/2022

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

With the tremendous expansion of graphs data, node classification shows ...

Bin Lu, et al. ∙

research

∙ 05/27/2022

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

Spatio-temporal graph learning is a key method for urban computing tasks...

Bin Lu, et al. ∙

research

∙ 03/30/2022

PerfectDou: Dominating DouDizhu with Perfect Information Distillation

As a challenging multi-player card game, DouDizhu has recently drawn muc...

Guan Yang, et al. ∙

research

∙ 03/20/2022

Model-based Multi-agent Reinforcement Learning: Recent Progress and Prospects

Significant advances have recently been achieved in Multi-Agent Reinforc...

Xihuai Wang, et al. ∙

research

∙ 03/04/2022

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

Recent progress in state-only imitation learning extends the scope of ap...

Minghuan Liu, et al. ∙

research

∙ 02/25/2022

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

Program representation, which aims at converting program source code int...

Ting Long, et al. ∙

research

∙ 01/27/2022

DropNAS: Grouped Operation Dropout for Differentiable Architecture Search

Neural architecture search (NAS) has shown encouraging results in automa...

Weijun Hong, et al. ∙

research

∙ 01/24/2022

Towards Collaborative Question Answering: A Preliminary Study

Knowledge and expertise in the real-world can be disjointedly owned. To ...

Xiangkun Hu, et al. ∙

research

∙ 01/20/2022

Goal-Conditioned Reinforcement Learning: Problems and Solutions

Goal-conditioned reinforcement learning (GCRL), related to a set of comp...

Minghuan Liu, et al. ∙

research

∙ 01/06/2022

Phrase-level Adversarial Example Generation for Neural Machine Translation

While end-to-end neural machine translation (NMT) has achieved impressiv...

Juncheng Wan, et al. ∙

research

∙ 11/19/2021

Towards Return Parity in Markov Decision Processes

Algorithmic decisions made by machine learning models in high-stakes dom...

Jianfeng Chi, et al. ∙

research

∙ 11/16/2021

On Effective Scheduling of Model-based Reinforcement Learning

Model-based reinforcement learning has attracted wide attention due to i...

Hang Lai, et al. ∙

research

∙ 11/16/2021

QA4PRF: A Question Answering based Framework for Pseudo Relevance Feedback

Pseudo relevance feedback (PRF) automatically performs query expansion b...

Handong Ma, et al. ∙

research

∙ 11/09/2021

Learning Logic Rules for Document-level Relation Extraction

Document-level relation extraction aims to identify relations between en...

Dongyu Ru, et al. ∙

research

∙ 11/05/2021

AIM: Automatic Interaction Machine for Click-Through Rate Prediction

Feature embedding learning and feature interaction modeling are two cruc...

Chenxu Zhu, et al. ∙

research

∙ 11/03/2021

Curriculum Offline Imitation Learning

Offline reinforcement learning (RL) tasks require the agent to learn fro...

Minghuan Liu, et al. ∙

research

∙ 10/18/2021

Context-aware Reranking with Utility Maximization for Recommendation

As a critical task for large-scale commercial recommender systems, reran...

Yunjia Xi, et al. ∙

research

∙ 08/16/2021

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

Diabetes prediction is an important data science application in the soci...

Mingcheng Chen, et al. ∙

research

∙ 08/11/2021

Retrieval Interaction Machine for Tabular Data Prediction

Prediction over tabular data is an essential task in many data science a...

Jiarui Qin, et al. ∙

research

∙ 05/28/2021

Learning to Select Cuts for Efficient Mixed-Integer Programming

Cutting plane methods play a significant role in modern solvers for tack...

Zeren Huang, et al. ∙

research

∙ 05/13/2021

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

In Goal-oriented Reinforcement learning, relabeling the raw goals in pas...

Menghui Zhu, et al. ∙

research

∙ 04/21/2021

Deep Learning for Click-Through Rate Estimation

Click-through rate (CTR) estimation plays as a core function module in v...

Weinan Zhang, et al. ∙

research

∙ 04/13/2021

An Adversarial Imitation Click Model for Information Retrieval

Modern information retrieval systems, including web search, ads placemen...

Xinyi Dai, et al. ∙

research

∙ 03/18/2021

MARS: Markov Molecular Sampling for Multi-objective Drug Discovery

Searching for novel molecules with desired chemical properties is crucia...

Yutong Xie, et al. ∙

research

∙ 02/01/2021

NeoRL: A Near Real-World Benchmark for Offline Reinforcement Learning

Offline reinforcement learning (RL) aims at learning a good policy from ...

Rongjun Qin, et al. ∙

research

∙ 12/18/2020

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

Hero drafting is essential in MOBA game playing as it builds the team of...

Sheng Chen, et al. ∙

research

∙ 12/14/2020

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

Cycle-consistent training is widely used for jointly learning a forward ...

Qipeng Guo, et al. ∙

research

∙ 12/07/2020

Sobolev Wasserstein GAN

Wasserstein GANs (WGANs), built upon the Kantorovich-Rubinstein (KR) dua...

Minkai Xu, et al. ∙

research

∙ 12/05/2020

Reciprocal Supervised Learning Improves Neural Machine Translation

Despite the recent success on image classification, self-training has on...

Minkai Xu, et al. ∙

research

∙ 11/01/2020

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

Learning to rank with implicit feedback is one of the most important tas...

Xinyi Dai, et al. ∙

research

∙ 10/21/2020

Efficient Projection-Free Algorithms for Saddle Point Problems

The Frank-Wolfe algorithm is a classic method for constrained optimizati...

Cheng Chen, et al. ∙

research

∙ 10/19/2020

Model-based Policy Optimization with Unsupervised Model Adaptation

Model-based reinforcement learning methods learn a dynamics model with r...

Jian Shen, et al. ∙

research

∙ 10/01/2020

A Compare Aggregate Transformer for Understanding Document-grounded Dialogue

Unstructured documents serving as external knowledge of the dialogues he...

Longxuan Ma, et al. ∙

research

∙ 09/17/2020

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

The heavy traffic congestion problem has always been a concern for moder...

Chang Liu, et al. ∙

research

∙ 09/13/2020

GIKT: A Graph-based Interaction Model for Knowledge Tracing

With the rapid development in online education, knowledge tracing (KT) h...

Yang Yang, et al. ∙

research

∙ 09/03/2020

Learning to Infer User Hidden States for Online Sequential Advertising

To drive purchase in online advertising, it is of the advertiser's great...

Zhaoqing Peng, et al. ∙

research

∙ 08/18/2020

Glancing Transformer for Non-Autoregressive Neural Machine Translation

Non-autoregressive neural machine translation achieves remarkable infere...

Lihua Qian, et al. ∙

research

∙ 07/04/2020

Bidirectional Model-based Policy Optimization

Model-based reinforcement learning approaches leverage a forward dynamic...

Hang Lai, et al. ∙

research

∙ 06/18/2020

Interactive Recommender System via Knowledge Graph-enhanced Reinforcement Learning

Interactive recommender system (IRS) has drawn huge attention because of...

Sijin Zhou, et al. ∙

research

∙ 06/08/2020

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

Two important tasks at the intersection of knowledge graphs and natural ...

Qipeng Guo, et al. ∙

research

∙ 04/29/2020

Counterfactual Off-Policy Training for Neural Response Generation

Learning a neural response generation model on data synthesized under th...

Qingfu Zhu, et al. ∙

research

∙ 04/20/2020

Energy-Based Imitation Learning

We tackle a common scenario in imitation learning (IL), where agents try...

Minghuan Liu, et al. ∙

research

∙ 04/17/2020

Active Sentence Learning by Adversarial Uncertainty Sampling in Discrete Space

In this paper, we focus on reducing the labeled data size for sentence l...

Dongyu Ru, et al. ∙

research

∙ 03/25/2020

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

Learning effective feature interactions is crucial for click-through rat...

Bin Liu, et al. ∙

research

∙ 03/14/2020

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

Recent advances in large-scale optimal transport have greatly extended i...

Guansong Lu, et al. ∙

research

∙ 02/23/2020

Author Name Disambiguation on Heterogeneous Information Network with Adversarial Representation Learning

Author name ambiguity causes inadequacy and inconvenience in academic in...

Haiwen Wang, et al. ∙

research

∙ 01/26/2020

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

Molecular graph generation is a fundamental problem for drug discovery a...

Chence Shi, et al. ∙

Weinan Zhang

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