b'Liwei Wang'

research

∙ 07/21/2022

Boosting 3D Object Detection via Object-Focused Image Fusion

3D object detection has achieved remarkable progress by taking point clo...

Hao Yang, et al. ∙

research

∙ 07/20/2022

DecoupleNet: Decoupled Network for Domain Adaptive Semantic Segmentation

Unsupervised domain adaptation in semantic segmentation has been raised ...

Xin Lai, et al. ∙

research

∙ 06/04/2022

Is L^2 Physics-Informed Loss Always Suitable for Training Physics-Informed Neural Network?

The Physics-Informed Neural Network (PINN) approach is a new and promisi...

Chuwei Wang, et al. ∙

research

∙ 05/31/2022

Voxel Field Fusion for 3D Object Detection

In this work, we present a conceptually simple yet effective framework f...

Yanwei Li, et al. ∙

research

∙ 05/27/2022

Why Robust Generalization in Deep Learning is Difficult: Perspective of Expressive Power

It is well-known that modern neural networks are vulnerable to adversari...

Binghui Li, et al. ∙

research

∙ 05/26/2022

Your Transformer May Not be as Powerful as You Expect

Relative Positional Encoding (RPE), which encodes the relative distance ...

Shengjie Luo, et al. ∙

research

∙ 05/23/2022

Human-in-the-loop: Provably Efficient Preference-based Reinforcement Learning with General Function Approximation

We study human-in-the-loop reinforcement learning (RL) with trajectory p...

Xiaoyu Chen, et al. ∙

research

∙ 04/06/2022

Probing Structured Pruning on Multilingual Pre-trained Models: Settings, Algorithms, and Efficiency

Structured pruning has been extensively studied on monolingual pre-train...

Yanyang Li, et al. ∙

research

∙ 04/05/2022

RBGNet: Ray-based Grouping for 3D Object Detection

As a fundamental problem in computer vision, 3D object detection is expe...

Haiyang Wang, et al. ∙

research

∙ 04/05/2022

Multi-View Transformer for 3D Visual Grounding

The 3D visual grounding task aims to ground a natural language descripti...

Shijia Huang, et al. ∙

research

∙ 04/04/2022

Diverse Text Generation via Variational Encoder-Decoder Models with Gaussian Process Priors

Generating high quality texts with high diversity is important for many ...

Wanyu Du, et al. ∙

research

∙ 03/28/2022

Stratified Transformer for 3D Point Cloud Segmentation

3D point cloud segmentation has made tremendous progress in recent years...

Xin Lai, et al. ∙

research

∙ 02/23/2022

Reconstruction Task Finds Universal Winning Tickets

Pruning well-trained neural networks is effective to achieve a promising...

Ruichen Li, et al. ∙

research

∙ 02/21/2022

T-METASET: Task-Aware Generation of Metamaterial Datasets by Diversity-Based Active Learning

Inspired by the recent success of deep learning in diverse domains, data...

Doksoo Lee, et al. ∙

research

∙ 02/14/2022

FlowEval: A Consensus-Based Dialogue Evaluation Framework Using Segment Act Flows

Despite recent progress in open-domain dialogue evaluation, how to devel...

Jianqiao Zhao, et al. ∙

research

∙ 12/21/2021

Nearly Optimal Policy Optimization with Stable at Any Time Guarantee

Policy optimization methods are one of the most widely used classes of R...

Tianhao Wu, et al. ∙

research

∙ 12/05/2021

Enhancing Data-driven Multiscale Topology Optimization with Generalized De-homogenization

De-homogenization is becoming an effective method to significantly exped...

Liwei Wang, et al. ∙

research

∙ 12/01/2021

Remixing Functionally Graded Structures: Data-Driven Topology Optimization with Multiclass Shape Blending

To create heterogeneous, multiscale structures with unprecedented functi...

Yu-Chin Chan, et al. ∙

research

∙ 10/26/2021

Breaking the Moments Condition Barrier: No-Regret Algorithm for Bandits with Super Heavy-Tailed Payoffs

Despite a large amount of effort in dealing with heavy-tailed error in m...

Han Zhong, et al. ∙

research

∙ 10/24/2021

Non-convex Distributionally Robust Optimization: Non-asymptotic Analysis

Distributionally robust optimization (DRO) is a widely-used approach to ...

Jikai Jin, et al. ∙

research

∙ 10/13/2021

Boosting the Certified Robustness of L-infinity Distance Nets

Recently, Zhang et al. (2021) developed a new neural network architectur...

Bohang Zhang, et al. ∙

research

∙ 10/11/2021

Semi-Supervised Semantic Segmentation via Adaptive Equalization Learning

Due to the limited and even imbalanced data, semi-supervised semantic se...

Hanzhe Hu, et al. ∙

research

∙ 10/07/2021

Near-Optimal Reward-Free Exploration for Linear Mixture MDPs with Plug-in Solver

Although model-based reinforcement learning (RL) approaches are consider...

Xiaoyu Chen, et al. ∙

research

∙ 10/07/2021

Understanding Domain Randomization for Sim-to-real Transfer

Reinforcement learning encounters many challenges when applied directly ...

Xiaoyu Chen, et al. ∙

research

∙ 09/27/2021

Deep Structured Instance Graph for Distilling Object Detectors

Effectively structuring deep knowledge plays a pivotal role in transfer ...

Yixin Chen, et al. ∙

research

∙ 08/17/2021

Fully Convolutional Networks for Panoptic Segmentation with Point-based Supervision

In this paper, we present a conceptually simple, strong, and efficient f...

Yanwei Li, et al. ∙

research

∙ 08/14/2021

A fast asynchronous MCMC sampler for sparse Bayesian inference

We propose a very fast approximate Markov Chain Monte Carlo (MCMC) sampl...

Yves Atchadé, et al. ∙

research

∙ 08/12/2021

Conditional Temporal Variational AutoEncoder for Action Video Prediction

To synthesize a realistic action sequence based on a single human image,...

Xiaogang Xu, et al. ∙

research

∙ 07/28/2021

Mechanical Cloak via Data-Driven Aperiodic Metamaterial Design

Mechanical cloaks are materials engineered to manipulate the elastic res...

Liwei Wang, et al. ∙

research

∙ 07/02/2021

Collaborative Visual Navigation

As a fundamental problem for Artificial Intelligence, multi-agent system...

Haiyang Wang, et al. ∙

research

∙ 06/27/2021

Semi-supervised Semantic Segmentation with Directional Context-aware Consistency

Semantic segmentation has made tremendous progress in recent years. Howe...

Xin Lai, et al. ∙

research

∙ 06/26/2021

Multi-stage Optimization based Adversarial Training

In the field of adversarial robustness, there is a common practice that ...

Xiaosen Wang, et al. ∙

research

∙ 06/26/2021

Scalable Gaussian Processes for Data-Driven Design using Big Data with Categorical Factors

Scientific and engineering problems often require the use of artificial ...

Liwei Wang, et al. ∙

research

∙ 06/23/2021

Stable, Fast and Accurate: Kernelized Attention with Relative Positional Encoding

The attention module, which is a crucial component in Transformer, canno...

Shengjie Luo, et al. ∙

research

∙ 06/22/2021

A Unified Framework for Conservative Exploration

We study bandits and reinforcement learning (RL) subject to a conservati...

Yunchang Yang, et al. ∙

research

∙ 06/21/2021

FedCM: Federated Learning with Client-level Momentum

Federated Learning is a distributed machine learning approach which enab...

Jing Xu, et al. ∙

research

∙ 06/19/2021

JointGT: Graph-Text Joint Representation Learning for Text Generation from Knowledge Graphs

Existing pre-trained models for knowledge-graph-to-text (KG-to-text) gen...

Pei Ke, et al. ∙

research

∙ 06/11/2021

Data-Driven Multiscale Design of Cellular Composites with Multiclass Microstructures for Natural Frequency Maximization

For natural frequency optimization of engineering structures, cellular c...

Liwei Wang, et al. ∙

research

∙ 06/08/2021

Towards a Theoretical Framework of Out-of-Distribution Generalization

Generalization to out-of-distribution (OOD) data, or domain generalizati...

Haotian Ye, et al. ∙

research

∙ 03/30/2021

Dense Relation Distillation with Context-aware Aggregation for Few-Shot Object Detection

Conventional deep learning based methods for object detection require a ...

Hanzhe Hu, et al. ∙

research

∙ 03/26/2021

DAGN: Discourse-Aware Graph Network for Logical Reasoning

Recent QA with logical reasoning questions requires passage-level relati...

Yinya Huang, et al. ∙

research

∙ 02/16/2021

Revisiting Language Encoding in Learning Multilingual Representations

Transformer has demonstrated its great power to learn contextual word re...

Shengjie Luo, et al. ∙

research

∙ 02/10/2021

Towards Certifying ℓ_∞ Robustness using Neural Networks with ℓ_∞-dist Neurons

It is well-known that standard neural networks, even with a high classif...

Bohang Zhang, et al. ∙

research

∙ 02/08/2021

Near-optimal Representation Learning for Linear Bandits and Linear RL

This paper studies representation learning for multi-task linear bandits...

Jiachen Hu, et al. ∙

research

∙ 12/29/2020

Robust Dialogue Utterance Rewriting as Sequence Tagging

The task of dialogue rewriting aims to reconstruct the latest dialogue u...

Jie Hao, et al. ∙

research

∙ 12/01/2020

Fully Convolutional Networks for Panoptic Segmentation

In this paper, we present a conceptually simple, strong, and efficient f...

Yanwei Li, et al. ∙

research

∙ 11/23/2020

Learnable Boundary Guided Adversarial Training

Previous adversarial training raises model robustness under the compromi...

Jiequan Cui, et al. ∙

research

∙ 10/17/2020

LID 2020: The Learning from Imperfect Data Challenge Results

Learning from imperfect data becomes an issue in many industrial applica...

Yunchao Wei, et al. ∙

research

∙ 10/05/2020

Improved Analysis of Clipping Algorithms for Non-convex Optimization

Gradient clipping is commonly used in training deep neural networks part...

Bohang Zhang, et al. ∙

research

∙ 09/22/2020

Sanity-Checking Pruning Methods: Random Tickets can Win the Jackpot

Network pruning is a method for reducing test-time computational resourc...

Jingtong Su, et al. ∙

Liwei Wang

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