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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...
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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...
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08/05/2023
FGLQR: Factor Graph Accelerator of LQR Control for Autonomous Machines
Factor graph represents the factorization of a probability distribution ...
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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...
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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...
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06/06/2023
FAMO: Fast Adaptive Multitask Optimization
One of the grand enduring goals of AI is to create generalist agents tha...
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06/05/2023
LIBERO: Benchmarking Knowledge Transfer for Lifelong Robot Learning
Lifelong learning offers a promising paradigm of building a generalist a...
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05/23/2023
DUBLIN – Document Understanding By Language-Image Network
Visual document understanding is a complex task that involves analyzing ...
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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...
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04/22/2023
LLM+P: Empowering Large Language Models with Optimal Planning Proficiency
Large language models (LLMs) have demonstrated remarkable zero-shot gene...
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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...
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03/23/2023
Uncertainty Calibration for Counterfactual Propensity Estimation in Recommendation
In recommendation systems, a large portion of the ratings are missing du...
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03/09/2023
Efficient Transformer-based 3D Object Detection with Dynamic Token Halting
Balancing efficiency and accuracy is a long-standing problem for deployi...
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02/27/2023
Language Is Not All You Need: Aligning Perception with Language Models
A big convergence of language, multimodal perception, action, and world ...
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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...
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02/07/2023
RoNet: Toward Robust Neural Assisted Mobile Network Configuration
Automating configuration is the key path to achieving zero-touch network...
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02/07/2023
CoMap: Proactive Provision for Crowdsourcing Map in Automotive Edge Computing
Crowdsourcing data from connected and automated vehicles (CAVs) is a cos...
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02/02/2023
MetaTKG: Learning Evolutionary Meta-Knowledge for Temporal Knowledge Graph Reasoning
Reasoning over Temporal Knowledge Graphs (TKGs) aims to predict future f...
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01/17/2023
Metamobility: Connecting Future Mobility with Metaverse
A Metaverse is a perpetual, immersive, and shared digital universe that ...
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01/09/2023
Network Slicing via Transfer Learning aided Distributed Deep Reinforcement Learning
Deep reinforcement learning (DRL) has been increasingly employed to hand...
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12/20/2022
Goal-oriented Autonomous Driving
Modern autonomous driving system is characterized as modular tasks in se...
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12/12/2022
PathFusion: Path-consistent Lidar-Camera Deep Feature Fusion
Fusing camera with LiDAR is a promising technique to improve the accurac...
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12/04/2022
Fast Point Cloud Generation with Straight Flows
Diffusion models have emerged as a powerful tool for point cloud generat...
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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...
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10/30/2022
Atlas: Automate Online Service Configuration in Network Slicing
Network slicing achieves cost-efficient slice customization to support h...
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10/24/2022
Sampling with Mollified Interaction Energy Descent
Sampling from a target measure whose density is only known up to a norma...
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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...
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10/12/2022
Sampling in Constrained Domains with Orthogonal-Space Variational Gradient Descent
Sampling methods, as important inference and learning techniques, are ty...
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10/06/2022
Neural Volumetric Mesh Generator
Deep generative models have shown success in generating 3D shapes with d...
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09/29/2022
Improving Molecular Pretraining with Complementary Featurizations
Molecular pretraining, which learns molecular representations over massi...
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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...
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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...
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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...
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09/06/2022
Factor Graph Accelerator for LiDAR-Inertial Odometry
Factor graph is a graph representing the factorization of a probability ...
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09/03/2022
Deep Stable Representation Learning on Electronic Health Records
Deep learning models have achieved promising disease prediction performa...
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09/02/2022
First Hitting Diffusion Models
We propose a family of First Hitting Diffusion Models (FHDM), deep gener...
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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 ...
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09/02/2022
Diffusion-based Molecule Generation with Informative Prior Bridges
AI-based molecule generation provides a promising approach to a large ar...
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08/31/2022
Let us Build Bridges: Understanding and Extending Diffusion Generative Models
Diffusion-based generative models have achieved promising results recent...
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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...
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08/17/2022
Metric Residual Networks for Sample Efficient Goal-Conditioned Reinforcement Learning
Goal-conditioned reinforcement learning (GCRL) has a wide range of poten...
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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...
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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...
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07/14/2022
Improving Multi-Interest Network with Stable Learning
Modeling users' dynamic preferences from historical behaviors lies at th...
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07/06/2022
Network Pruning via Feature Shift Minimization
Channel pruning is widely used to reduce the complexity of deep network ...
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06/27/2022
Split Localized Conformal Prediction
Conformal prediction is a simple and powerful tool that can quantify unc...
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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...
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06/20/2022
A Langevin-like Sampler for Discrete Distributions
We propose discrete Langevin proposal (DLP), a simple and scalable gradi...
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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...
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03/24/2022
