b'Liwei Wang'

research

∙ 08/18/2023

VL-PET: Vision-and-Language Parameter-Efficient Tuning via Granularity Control

As the model size of pre-trained language models (PLMs) grows rapidly, f...

0 Zi-Yuan Hu, et al. ∙

research

∙ 08/15/2023

UniTR: A Unified and Efficient Multi-Modal Transformer for Bird's-Eye-View Representation

Jointly processing information from multiple sensors is crucial to achie...

0 Haiyang Wang, et al. ∙

research

∙ 08/14/2023

GRU-D-Weibull: A Novel Real-Time Individualized Endpoint Prediction

Accurate prediction models for individual-level endpoints and time-to-en...

0 Xiaoyang Ruan, et al. ∙

research

∙ 08/09/2023

Physics-aware differentiable design of magnetically actuated kirigami for shape morphing

Shape morphing that transforms morphologies in response to stimuli is cr...

0 Liwei Wang, et al. ∙

research

∙ 08/09/2023

CLEVA: Chinese Language Models EVAluation Platform

With the continuous emergence of Chinese Large Language Models (LLMs), h...

0 Yanyang Li, et al. ∙

research

∙ 07/22/2023

Topology-Preserving Automatic Labeling of Coronary Arteries via Anatomy-aware Connection Classifier

Automatic labeling of coronary arteries is an essential task in the prac...

0 Zhixing Zhang, et al. ∙

research

∙ 07/05/2023

Performance Analysis of RIS-Aided Space Shift Keying With Channel Estimation Errors

In this paper, we investigate the reconfigurable intelligent surface (RI...

0 Xusheng Zhu, et al. ∙

research

∙ 07/01/2023

Data-Driven Design for Metamaterials and Multiscale Systems: A Review

Metamaterials are artificial materials designed to exhibit effective mat...

0 Doksoo Lee, et al. ∙

research

∙ 06/12/2023

Boosting Breast Ultrasound Video Classification by the Guidance of Keyframe Feature Centers

Breast ultrasound videos contain richer information than ultrasound imag...

0 AnLan Sun, et al. ∙

research

∙ 06/12/2023

Tackling Heavy-Tailed Rewards in Reinforcement Learning with Function Approximation: Minimax Optimal and Instance-Dependent Regret Bounds

While numerous works have focused on devising efficient algorithms for r...

0 Jiayi Huang, et al. ∙

research

∙ 05/31/2023

Offline Meta Reinforcement Learning with In-Distribution Online Adaptation

Recent offline meta-reinforcement learning (meta-RL) methods typically u...

0 Jianhao Wang, et al. ∙

research

∙ 05/29/2023

Mining Negative Temporal Contexts For False Positive Suppression In Real-Time Ultrasound Lesion Detection

During ultrasonic scanning processes, real-time lesion detection can ass...

0 Haojun Yu, et al. ∙

research

∙ 05/24/2023

Towards Revealing the Mystery behind Chain of Thought: A Theoretical Perspective

Recent studies have discovered that Chain-of-Thought prompting (CoT) can...

0 Guhao Feng, et al. ∙

research

∙ 03/20/2023

ContraNeRF: Generalizable Neural Radiance Fields for Synthetic-to-real Novel View Synthesis via Contrastive Learning

Although many recent works have investigated generalizable NeRF-based no...

0 Hao Yang, et al. ∙

research

∙ 02/21/2023

Provably Efficient Exploration in Quantum Reinforcement Learning with Logarithmic Worst-Case Regret

While quantum reinforcement learning (RL) has attracted a surge of atten...

9 Han Zhong, et al. ∙

research

∙ 02/14/2023

A Complete Expressiveness Hierarchy for Subgraph GNNs via Subgraph Weisfeiler-Lehman Tests

Recently, subgraph GNNs have emerged as an important direction for devel...

0 Bohang Zhang, et al. ∙

research

∙ 02/03/2023

A Reduction-based Framework for Sequential Decision Making with Delayed Feedback

We study stochastic delayed feedback in general multi-agent sequential d...

0 Yunchang Yang, et al. ∙

research

∙ 01/23/2023

Rethinking the Expressive Power of GNNs via Graph Biconnectivity

Designing expressive Graph Neural Networks (GNNs) is a central topic in ...

0 Bohang Zhang, et al. ∙

research

∙ 01/15/2023

DSVT: Dynamic Sparse Voxel Transformer with Rotated Sets

Designing an efficient yet deployment-friendly 3D backbone to handle spa...

0 Haiyang Wang, et al. ∙

research

∙ 01/09/2023

Designing BERT for Convolutional Networks: Sparse and Hierarchical Masked Modeling

We identify and overcome two key obstacles in extending the success of B...

1 Keyu Tian, et al. ∙

research

∙ 12/19/2022

Discrimination, calibration, and point estimate accuracy of GRU-D-Weibull architecture for real-time individualized endpoint prediction

Real-time individual endpoint prediction has always been a challenging t...

0 Xiaoyang Ruan, et al. ∙

research

∙ 11/03/2022

Eliciting Knowledge from Large Pre-Trained Models for Unsupervised Knowledge-Grounded Conversation

Recent advances in large-scale pre-training provide large models with th...

0 Yanyang Li, et al. ∙

research

∙ 10/27/2022

Provable Sim-to-real Transfer in Continuous Domain with Partial Observations

Sim-to-real transfer trains RL agents in the simulated environments and ...

0 Jiachen Hu, et al. ∙

research

∙ 10/19/2022

On the Power of Pre-training for Generalization in RL: Provable Benefits and Hardness

Generalization in Reinforcement Learning (RL) aims to learn an agent dur...

0 Haotian Ye, et al. ∙

research

∙ 10/09/2022

CAGroup3D: Class-Aware Grouping for 3D Object Detection on Point Clouds

We present a novel two-stage fully sparse convolutional 3D object detect...

0 Haiyang Wang, et al. ∙

research

∙ 10/04/2022

Rethinking Lipschitz Neural Networks for Certified L-infinity Robustness

Designing neural networks with bounded Lipschitz constant is a promising...

0 Bohang Zhang, et al. ∙

research

∙ 10/04/2022

One Transformer Can Understand Both 2D 3D Molecular Data

Unlike vision and language data which usually has a unique format, molec...

0 Shengjie Luo, et al. ∙

research

∙ 09/13/2022

Check and Link: Pairwise Lesion Correspondence Guides Mammogram Mass Detection

Detecting mass in mammogram is significant due to the high occurrence an...

18 Ziwei Zhao, et al. ∙

research

∙ 09/13/2022

PointScatter: Point Set Representation for Tubular Structure Extraction

This paper explores the point set representation for tubular structure e...

1 Dong Wang, et al. ∙

research

∙ 07/21/2022

Boosting 3D Object Detection via Object-Focused Image Fusion

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

4 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 ...

0 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...

0 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...

0 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...

0 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 ...

0 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...

6 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...

0 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...

8 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...

0 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 ...

0 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...

0 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...

0 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...

0 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...

0 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...

0 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...

0 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...

0 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...

0 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 ...

0 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...

0 Bohang Zhang, et al. ∙

Liwei Wang

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