b'Qiang Liu'

research

∙ 09/12/2023

InstaFlow: One Step is Enough for High-Quality Diffusion-Based Text-to-Image Generation

Diffusion models have revolutionized text-to-image generation with its e...

0 Xingchao Liu, et al. ∙

research

∙ 08/21/2023

Matrix Completion over Finite Fields: Bounds and Belief Propagation Algorithms

We consider the low rank matrix completion problem over finite fields. T...

0 Mahdi Soleymani, et al. ∙

research

∙ 08/05/2023

FGLQR: Factor Graph Accelerator of LQR Control for Autonomous Machines

Factor graph represents the factorization of a probability distribution ...

0 Yuhui Hao, et al. ∙

research

∙ 06/26/2023

Imitation with Spatial-Temporal Heatmap: 2nd Place Solution for NuPlan Challenge

This paper presents our 2nd place solution for the NuPlan Challenge 2023...

0 Yihan Hu, et al. ∙

research

∙ 06/20/2023

Inter-Cell Network Slicing With Transfer Learning Empowered Multi-Agent Deep Reinforcement Learning

Network slicing enables operators to efficiently support diverse applica...

0 Tianlun Hu, et al. ∙

research

∙ 06/06/2023

FAMO: Fast Adaptive Multitask Optimization

One of the grand enduring goals of AI is to create generalist agents tha...

0 Bo Liu, et al. ∙

research

∙ 06/05/2023

LIBERO: Benchmarking Knowledge Transfer for Lifelong Robot Learning

Lifelong learning offers a promising paradigm of building a generalist a...

0 Bo Liu, et al. ∙

research

∙ 05/23/2023

DUBLIN – Document Understanding By Language-Image Network

Visual document understanding is a complex task that involves analyzing ...

0 Kriti Aggarwal, et al. ∙

research

∙ 05/11/2023

MolDiff: Addressing the Atom-Bond Inconsistency Problem in 3D Molecule Diffusion Generation

Deep generative models have recently achieved superior performance in 3D...

0 Xingang Peng, et al. ∙

research

∙ 04/22/2023

LLM+P: Empowering Large Language Models with Optimal Planning Proficiency

Large language models (LLMs) have demonstrated remarkable zero-shot gene...

0 Bo Liu, et al. ∙

research

∙ 04/11/2023

High-performance and Scalable Software-based NVMe Virtualization Mechanism with I/O Queues Passthrough

NVMe(Non-Volatile Memory Express) is an industry standard for solid-stat...

0 Yiquan Chen, et al. ∙

research

∙ 03/23/2023

Uncertainty Calibration for Counterfactual Propensity Estimation in Recommendation

In recommendation systems, a large portion of the ratings are missing du...

0 Wenbo Hu, et al. ∙

research

∙ 03/09/2023

Efficient Transformer-based 3D Object Detection with Dynamic Token Halting

Balancing efficiency and accuracy is a long-standing problem for deployi...

0 Mao Ye, et al. ∙

research

∙ 02/27/2023

Language Is Not All You Need: Aligning Perception with Language Models

A big convergence of language, multimodal perception, action, and world ...

0 Shaohan Huang, et al. ∙

research

∙ 02/20/2023

Friend Recall in Online Games via Pre-training Edge Transformers

Friend recall is an important way to improve Daily Active Users (DAU) in...

0 Liang Yao, et al. ∙

research

∙ 02/07/2023

RoNet: Toward Robust Neural Assisted Mobile Network Configuration

Automating configuration is the key path to achieving zero-touch network...

0 Yuru Zhang, et al. ∙

research

∙ 02/07/2023

CoMap: Proactive Provision for Crowdsourcing Map in Automotive Edge Computing

Crowdsourcing data from connected and automated vehicles (CAVs) is a cos...

0 Yongjie Xue, et al. ∙

research

∙ 02/02/2023

MetaTKG: Learning Evolutionary Meta-Knowledge for Temporal Knowledge Graph Reasoning

Reasoning over Temporal Knowledge Graphs (TKGs) aims to predict future f...

0 Yuwei Xia, et al. ∙

research

∙ 01/17/2023

Metamobility: Connecting Future Mobility with Metaverse

A Metaverse is a perpetual, immersive, and shared digital universe that ...

0 Haoxin Wang, et al. ∙

research

∙ 01/09/2023

Network Slicing via Transfer Learning aided Distributed Deep Reinforcement Learning

Deep reinforcement learning (DRL) has been increasingly employed to hand...

0 Tianlun Hu, et al. ∙

research

∙ 12/20/2022

Goal-oriented Autonomous Driving

Modern autonomous driving system is characterized as modular tasks in se...

0 Yihan Hu, et al. ∙

research

∙ 12/12/2022

PathFusion: Path-consistent Lidar-Camera Deep Feature Fusion

Fusing camera with LiDAR is a promising technique to improve the accurac...

0 Lemeng Wu, et al. ∙

research

∙ 12/04/2022

Fast Point Cloud Generation with Straight Flows

Diffusion models have emerged as a powerful tool for point cloud generat...

0 Lemeng Wu, et al. ∙

research

∙ 11/16/2022

Distributed Node Covering Optimization for Large Scale Networks and Its Application on Social Advertising

Combinatorial optimizations are usually complex and inefficient, which l...

0 Qiang Liu, et al. ∙

research

∙ 10/30/2022

Atlas: Automate Online Service Configuration in Network Slicing

Network slicing achieves cost-efficient slice customization to support h...

0 Qiang Liu, et al. ∙

research

∙ 10/24/2022

Sampling with Mollified Interaction Energy Descent

Sampling from a target measure whose density is only known up to a norma...

0 Lingxiao Li, et al. ∙

research

∙ 10/22/2022

The Devil is in the Conflict: Disentangled Information Graph Neural Networks for Fraud Detection

Graph-based fraud detection has heretofore received considerable attenti...

0 Zhixun Li, et al. ∙

research

∙ 10/12/2022

Sampling in Constrained Domains with Orthogonal-Space Variational Gradient Descent

Sampling methods, as important inference and learning techniques, are ty...

10 Ruqi Zhang, et al. ∙

research

∙ 10/06/2022

Neural Volumetric Mesh Generator

Deep generative models have shown success in generating 3D shapes with d...

51 Yan Zheng, et al. ∙

research

∙ 09/29/2022

Improving Molecular Pretraining with Complementary Featurizations

Molecular pretraining, which learns molecular representations over massi...

6 Yanqiao Zhu, et al. ∙

research

∙ 09/29/2022

Rectified Flow: A Marginal Preserving Approach to Optimal Transport

We present a flow-based approach to the optimal transport (OT) problem b...

10 Qiang Liu, et al. ∙

research

∙ 09/19/2022

BOME! Bilevel Optimization Made Easy: A Simple First-Order Approach

Bilevel optimization (BO) is useful for solving a variety of important m...

10 Mao Ye, et al. ∙

research

∙ 09/07/2022

Flow Straight and Fast: Learning to Generate and Transfer Data with Rectified Flow

We present rectified flow, a surprisingly simple approach to learning (n...

2 Xingchao Liu, et al. ∙

research

∙ 09/06/2022

Factor Graph Accelerator for LiDAR-Inertial Odometry

Factor graph is a graph representing the factorization of a probability ...

0 Yuhui Hao, et al. ∙

research

∙ 09/03/2022

Deep Stable Representation Learning on Electronic Health Records

Deep learning models have achieved promising disease prediction performa...

16 Yingtao Luo, et al. ∙

research

∙ 09/02/2022

First Hitting Diffusion Models

We propose a family of First Hitting Diffusion Models (FHDM), deep gener...

5 Mao Ye, et al. ∙

research

∙ 09/02/2022

Future Gradient Descent for Adapting the Temporal Shifting Data Distribution in Online Recommendation Systems

One of the key challenges of learning an online recommendation model is ...

15 Mao Ye, et al. ∙

research

∙ 09/02/2022

Diffusion-based Molecule Generation with Informative Prior Bridges

AI-based molecule generation provides a promising approach to a large ar...

11 Lemeng Wu, et al. ∙

research

∙ 08/31/2022

Let us Build Bridges: Understanding and Extending Diffusion Generative Models

Diffusion-based generative models have achieved promising results recent...

17 Xingchao Liu, et al. ∙

research

∙ 08/22/2022

Image as a Foreign Language: BEiT Pretraining for All Vision and Vision-Language Tasks

A big convergence of language, vision, and multimodal pretraining is eme...

6 Wenhui Wang, et al. ∙

research

∙ 08/17/2022

Metric Residual Networks for Sample Efficient Goal-Conditioned Reinforcement Learning

Goal-conditioned reinforcement learning (GCRL) has a wide range of poten...

7 Bo Liu, et al. ∙

research

∙ 08/01/2022

Hybrid Precoding for Mixture Use of Phase Shifters and Switches in mmWave Massive MIMO

A variable-phase-shifter (VPS) architecture with hybrid precoding for mi...

0 Chenhao Qi, et al. ∙

research

∙ 07/29/2022

Deep Reinforcement Learning for End-to-End Network Slicing: Challenges and Solutions

5G and beyond is expected to enable various emerging use cases with dive...

0 Qiang Liu, et al. ∙

research

∙ 07/14/2022

Improving Multi-Interest Network with Stable Learning

Modeling users' dynamic preferences from historical behaviors lies at th...

13 Zhaocheng Liu, et al. ∙

research

∙ 07/06/2022

Network Pruning via Feature Shift Minimization

Channel pruning is widely used to reduce the complexity of deep network ...

0 Yuanzhi Duan, et al. ∙

research

∙ 06/27/2022

Split Localized Conformal Prediction

Conformal prediction is a simple and powerful tool that can quantify unc...

5 Xing Han, et al. ∙

research

∙ 06/21/2022

HOPE: Hierarchical Spatial-temporal Network for Occupancy Flow Prediction

In this report, we introduce our solution to the Occupancy and Flow Pred...

3 Yihan Hu, et al. ∙

research

∙ 06/20/2022

A Langevin-like Sampler for Discrete Distributions

We propose discrete Langevin proposal (DLP), a simple and scalable gradi...

14 Ruqi Zhang, et al. ∙

research

∙ 06/04/2022

CAINNFlow: Convolutional block Attention modules and Invertible Neural Networks Flow for anomaly detection and localization tasks

Detection of object anomalies is crucial in industrial processes, but un...

9 Ruiqing Yan, et al. ∙

research

∙ 03/24/2022

Continual Learning and Private Unlearning

As intelligent agents become autonomous over longer periods of time, the...

48 Bo Liu, et al. ∙

Qiang Liu

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