b'Yang Yu'

research

∙ 09/21/2023

Improve the efficiency of deep reinforcement learning through semantic exploration guided by natural language

Reinforcement learning is a powerful technique for learning from trial a...

0 Zhourui Guo, et al. ∙

research

∙ 09/12/2023

ACT: Empowering Decision Transformer with Dynamic Programming via Advantage Conditioning

Decision Transformer (DT), which employs expressive sequence modeling te...

0 Chenxiao Gao, et al. ∙

research

∙ 09/06/2023

Hide and Seek (HaS): A Lightweight Framework for Prompt Privacy Protection

Numerous companies have started offering services based on large languag...

0 Yu Chen, et al. ∙

research

∙ 09/02/2023

DeepScaler: Holistic Autoscaling for Microservices Based on Spatiotemporal GNN with Adaptive Graph Learning

Autoscaling functions provide the foundation for achieving elasticity in...

0 Chunyang Meng, et al. ∙

research

∙ 08/03/2023

Disentangling Multi-view Representations Beyond Inductive Bias

Multi-view (or -modality) representation learning aims to understand the...

0 Guanzhou Ke, et al. ∙

research

∙ 07/26/2023

Car-Studio: Learning Car Radiance Fields from Single-View and Endless In-the-wild Images

Compositional neural scene graph studies have shown that radiance fields...

0 Tianyu Liu, et al. ∙

research

∙ 06/28/2023

A Unified View of Deep Learning for Reaction and Retrosynthesis Prediction: Current Status and Future Challenges

Reaction and retrosynthesis prediction are fundamental tasks in computat...

0 Ziqiao Meng, et al. ∙

research

∙ 06/15/2023

SplatFlow: Learning Multi-frame Optical Flow via Splatting

Occlusion problem remains a key challenge in Optical Flow Estimation (OF...

0 Bo Wang, et al. ∙

research

∙ 06/12/2023

NPVForensics: Jointing Non-critical Phonemes and Visemes for Deepfake Detection

Deepfake technologies empowered by deep learning are rapidly evolving, c...

0 Yu Chen, et al. ∙

research

∙ 06/11/2023

Policy Regularization with Dataset Constraint for Offline Reinforcement Learning

We consider the problem of learning the best possible policy from a fixe...

0 Yuhang Ran, et al. ∙

research

∙ 06/11/2023

Provably Efficient Adversarial Imitation Learning with Unknown Transitions

Imitation learning (IL) has proven to be an effective method for learnin...

0 Tian Xu, et al. ∙

research

∙ 05/21/2023

Compact Lattice Gadget and Its Applications to Hash-and-Sign Signatures

This work aims to improve the practicality of gadget-based cryptosystems...

0 Yang Yu, et al. ∙

research

∙ 05/10/2023

Fast Teammate Adaptation in the Presence of Sudden Policy Change

In cooperative multi-agent reinforcement learning (MARL), where an agent...

0 Ziqian Zhang, et al. ∙

research

∙ 05/10/2023

Robust multi-agent coordination via evolutionary generation of auxiliary adversarial attackers

Cooperative multi-agent reinforcement learning (CMARL) has shown to be p...

0 Lei Yuan, et al. ∙

research

∙ 05/09/2023

Communication-Robust Multi-Agent Learning by Adaptable Auxiliary Multi-Agent Adversary Generation

Communication can promote coordination in cooperative Multi-Agent Reinfo...

2 Lei Yuan, et al. ∙

research

∙ 05/07/2023

Multi-agent Continual Coordination via Progressive Task Contextualization

Cooperative Multi-agent Reinforcement Learning (MARL) has attracted sign...

0 Lei Yuan, et al. ∙

research

∙ 05/07/2023

Robust Multi-agent Communication via Multi-view Message Certification

Many multi-agent scenarios require message sharing among agents to promo...

0 Lei Yuan, et al. ∙

research

∙ 03/21/2023

Adaptive Negative Evidential Deep Learning for Open-set Semi-supervised Learning

Semi-supervised learning (SSL) methods assume that labeled data, unlabel...

0 Yang Yu, et al. ∙

research

∙ 03/16/2023

Smart Contract Generation for Inter-Organizational Process Collaboration

Currently, inter-organizational process collaboration (IOPC) has been wi...

0 Tianhong Xiong, et al. ∙

research

∙ 03/03/2023

How To Guide Your Learner: Imitation Learning with Active Adaptive Expert Involvement

Imitation learning aims to mimic the behavior of experts without explici...

0 Xu-Hui Liu, et al. ∙

research

∙ 03/03/2023

Uncertainty Estimation by Fisher Information-based Evidential Deep Learning

Uncertainty estimation is a key factor that makes deep learning reliable...

0 Danruo Deng, et al. ∙

research

∙ 02/19/2023

Efficient Communication via Self-supervised Information Aggregation for Online and Offline Multi-agent Reinforcement Learning

Utilizing messages from teammates can improve coordination in cooperativ...

0 Cong Guan, et al. ∙

research

∙ 02/18/2023

Natural Language-conditioned Reinforcement Learning with Inside-out Task Language Development and Translation

Natural Language-conditioned reinforcement learning (RL) enables the age...

0 Jing-Cheng Pang, et al. ∙

research

∙ 01/27/2023

Theoretical Analysis of Offline Imitation With Supplementary Dataset

Behavioral cloning (BC) can recover a good policy from abundant expert d...

0 Ziniu Li, et al. ∙

research

∙ 01/05/2023

Self-Motivated Multi-Agent Exploration

In cooperative multi-agent reinforcement learning (CMARL), it is critica...

0 Shaowei Zhang, et al. ∙

research

∙ 12/28/2022

A Clustering-guided Contrastive Fusion for Multi-view Representation Learning

The past two decades have seen increasingly rapid advances in the field ...

0 Guanzhou Ke, et al. ∙

research

∙ 12/11/2022

Untargeted Attack against Federated Recommendation Systems via Poisonous Item Embeddings and the Defense

Federated recommendation (FedRec) can train personalized recommenders wi...

0 Yang Yu, et al. ∙

research

∙ 12/08/2022

Momentum Calibration for Text Generation

The input and output of most text generation tasks can be transformed to...

0 Xingxing Zhang, et al. ∙

research

∙ 12/05/2022

Learning Physically Realizable Skills for Online Packing of General 3D Shapes

We study the problem of learning online packing skills for irregular 3D ...

3 Hang Zhao, et al. ∙

research

∙ 11/29/2022

Real-time Blind Deblurring Based on Lightweight Deep-Wiener-Network

In this paper, we address the problem of blind deblurring with high effi...

0 Runjia Li, et al. ∙

research

∙ 11/14/2022

Does Debiasing Inevitably Degrade the Model Performance

Gender bias in language models has attracted sufficient attention becaus...

0 Yiran Liu, et al. ∙

research

∙ 11/06/2022

Knowledge is Power: Understanding Causality Makes Legal judgment Prediction Models More Generalizable and Robust

Legal judgment Prediction (LJP), aiming to predict a judgment based on f...

0 Haotian Chen, et al. ∙

research

∙ 11/02/2022

Singing Voice Synthesis with Vibrato Modeling and Latent Energy Representation

This paper proposes an expressive singing voice synthesis system by intr...

0 Yingjie Song, et al. ∙

research

∙ 10/19/2022

Domain generalization Person Re-identification on Attention-aware multi-operation strategery

Domain generalization person re-identification (DG Re-ID) aims to direct...

0 Yingchun Guo, et al. ∙

research

∙ 10/13/2022

Multi-agent Dynamic Algorithm Configuration

Automated algorithm configuration relieves users from tedious, trial-and...

0 Ke Xue, et al. ∙

research

∙ 10/11/2022

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

Recommender systems are expected to be assistants that help human users ...

0 Zhengbang Zhu, et al. ∙

research

∙ 09/30/2022

A Partially Functional Linear Modeling Framework for Integrating Genetic, Imaging, and Clinical Data

This paper is motivated by the joint analysis of genetic, imaging, and c...

0 Ting Li, et al. ∙

research

∙ 09/27/2022

MARS: A Motif-based Autoregressive Model for Retrosynthesis Prediction

Retrosynthesis is a major task for drug discovery. It is formulated as a...

0 Jiahan Liu, et al. ∙

research

∙ 09/23/2022

On Efficient Reinforcement Learning for Full-length Game of StarCraft II

StarCraft II (SC2) poses a grand challenge for reinforcement learning (R...

12 Ruo-Ze Liu, et al. ∙

research

∙ 09/21/2022

WeLM: A Well-Read Pre-trained Language Model for Chinese

Large Language Models pre-trained with self-supervised learning have dem...

0 Hui Su, et al. ∙

research

∙ 09/16/2022

ImDrug: A Benchmark for Deep Imbalanced Learning in AI-aided Drug Discovery

The last decade has witnessed a prosperous development of computational ...

0 Lanqing Li, et al. ∙

research

∙ 09/16/2022

V2HDM-Mono: A Framework of Building a Marking-Level HD Map with One or More Monocular Cameras

Marking-level high-definition maps (HD maps) are of great significance f...

0 Hongji Liu, et al. ∙

research

∙ 09/12/2022

Model-based Reinforcement Learning with Multi-step Plan Value Estimation

A promising way to improve the sample efficiency of reinforcement learni...

0 Haoxin Lin, et al. ∙

research

∙ 08/31/2022

Deep Anomaly Detection and Search via Reinforcement Learning

Semi-supervised Anomaly Detection (AD) is a kind of data mining task whi...

3 Chao Chen, et al. ∙

research

∙ 08/26/2022

MORI-RAN: Multi-view Robust Representation Learning via Hybrid Contrastive Fusion

Multi-view representation learning is essential for many multi-view task...

0 Guanzhou Ke, et al. ∙

research

∙ 08/23/2022

Convolutional Neural Networks with A Topographic Representation Module for EEG-Based Brain-Computer Interfaces

Objective: Convolutional Neural Networks (CNNs) have shown great potenti...

0 Xinbin Liang, et al. ∙

research

∙ 08/19/2022

Unified Policy Optimization for Continuous-action Reinforcement Learning in Non-stationary Tasks and Games

This paper addresses policy learning in non-stationary environments and ...

0 Rong-Jun Qin, et al. ∙

research

∙ 08/09/2022

Heterogeneous Multi-agent Zero-Shot Coordination by Coevolution

Generating agents that can achieve Zero-Shot Coordination (ZSC) with uns...

0 Ke Xue, et al. ∙

research

∙ 08/03/2022

Understanding Adversarial Imitation Learning in Small Sample Regime: A Stage-coupled Analysis

Imitation learning learns a policy from expert trajectories. While the e...

0 Tian Xu, et al. ∙

research

∙ 07/26/2022

EEG-Based Detection of Braking Intention During Simulated Driving

Accurately detecting and identifying drivers' braking intention is the b...

0 Xinbin Liang, et al. ∙

Yang Yu

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