Search Results for author: Haoran Wu

Found 16 papers, 10 papers with code

FREA: Feasibility-Guided Generation of Safety-Critical Scenarios with Reasonable Adversariality

no code implementations5 Jun 2024 Keyu Chen, YuHeng Lei, Hao Cheng, Haoran Wu, Wenchao Sun, Sifa Zheng

Generating safety-critical scenarios, which are essential yet difficult to collect at scale, offers an effective method to evaluate the robustness of autonomous vehicles (AVs).

Autonomous Vehicles

SparseDrive: End-to-End Autonomous Driving via Sparse Scene Representation

2 code implementations30 May 2024 Wenchao Sun, Xuewu Lin, Yining Shi, Chuang Zhang, Haoran Wu, Sifa Zheng

To this end, we explore the sparse representation and review the task design for end-to-end autonomous driving, proposing a new paradigm named SparseDrive.

Attribute Autonomous Driving +1

AccidentBlip2: Accident Detection With Multi-View MotionBlip2

1 code implementation18 Apr 2024 Yihua Shao, Hongyi Cai, Xinwei Long, Weiyi Lang, Zhe Wang, Haoran Wu, Yan Wang, Jiayi Yin, Yang Yang, Yisheng Lv, Zhen Lei

The inference capabilities of neural networks using cameras limit the accuracy of accident detection in complex transportation systems.

Language Modelling Large Language Model +2

FedNS: A Fast Sketching Newton-Type Algorithm for Federated Learning

1 code implementation5 Jan 2024 Jian Li, Yong liu, Wei Wang, Haoran Wu, Weiping Wang

We provide convergence analysis based on statistical learning for the federated Newton sketch approaches.

Federated Learning

Dual-Enhanced Coreset Selection with Class-wise Collaboration for Online Blurry Class Incremental Learning

no code implementations CVPR 2024 Yutian Luo, Shiqi Zhao, Haoran Wu, Zhiwu Lu

To tackle these challenges we introduce DECO (Dual-Enhanced Coreset Selection with Class-wise Collaboration) an approach that starts by establishing a class-wise balanced memory to address data imbalances followed by a tailored class-wise gradient-based similarity scoring system for refined coreset selection strategies with reasonable score guidance to all classes.

Class Incremental Learning Incremental Learning

Semantic Complete Scene Forecasting from a 4D Dynamic Point Cloud Sequence

no code implementations13 Dec 2023 Zifan Wang, Zhuorui Ye, Haoran Wu, Junyu Chen, Li Yi

To tackle this challenging problem, we properly model the synergetic relationship between future forecasting and semantic scene completion through a novel network named SCSFNet.

PepLand: a large-scale pre-trained peptide representation model for a comprehensive landscape of both canonical and non-canonical amino acids

1 code implementation8 Nov 2023 Ruochi Zhang, Haoran Wu, Yuting Xiu, Kewei Li, Ningning Chen, Yu Wang, Yan Wang, Xin Gao, Fengfeng Zhou

In recent years, the scientific community has become increasingly interested on peptides with non-canonical amino acids due to their superior stability and resistance to proteolytic degradation.

Graph Neural Network

ChatGPT or Grammarly? Evaluating ChatGPT on Grammatical Error Correction Benchmark

no code implementations15 Mar 2023 Haoran Wu, Wenxuan Wang, Yuxuan Wan, Wenxiang Jiao, Michael Lyu

ChatGPT is a cutting-edge artificial intelligence language model developed by OpenAI, which has attracted a lot of attention due to its surprisingly strong ability in answering follow-up questions.

Grammatical Error Correction Language Modelling +1

Matching-based Term Semantics Pre-training for Spoken Patient Query Understanding

1 code implementation2 Mar 2023 Zefa Hu, Xiuyi Chen, Haoran Wu, Minglun Han, Ziyi Ni, Jing Shi, Shuang Xu, Bo Xu

Medical Slot Filling (MSF) task aims to convert medical queries into structured information, playing an essential role in diagnosis dialogue systems.

slot-filling Slot Filling

Video Instance Shadow Detection

no code implementations23 Nov 2022 Zhenghao Xing, Tianyu Wang, Xiaowei Hu, Haoran Wu, Chi-Wing Fu, Pheng-Ann Heng

Instance shadow detection, crucial for applications such as photo editing and light direction estimation, has undergone significant advancements in predicting shadow instances, object instances, and their associations.

Contrastive Learning Instance Shadow Detection +3

Semi-Supervised Convolutive NMF for Automatic Piano Transcription

1 code implementation10 Feb 2022 Haoran Wu, Axel Marmoret, Jérémy E. Cohen

Automatic Music Transcription, which consists in transforming an audio recording of a musical performance into symbolic format, remains a difficult Music Information Retrieval task.

Information Retrieval Music Information Retrieval +2

Unbalanced Optimal Transport through Non-negative Penalized Linear Regression

1 code implementation NeurIPS 2021 Laetitia Chapel, Rémi Flamary, Haoran Wu, Cédric Févotte, Gilles Gasso

In particular, we consider majorization-minimization which leads in our setting to efficient multiplicative updates for a variety of penalties.

regression

Counterfactual Supporting Facts Extraction for Explainable Medical Record Based Diagnosis with Graph Network

1 code implementation NAACL 2021 Haoran Wu, Wei Chen, Shuang Xu, Bo Xu

Specifically, we first structure the sequence of EMR into a hierarchical graph network and then obtain the causal relationship between multi-granularity features and diagnosis results through counterfactual intervention on the graph.

counterfactual

Simultaneous Navigation and Construction Benchmarking Environments

1 code implementation31 Mar 2021 Wenyu Han, Chen Feng, Haoran Wu, Alexander Gao, Armand Jordana, Dong Liu, Lerrel Pinto, Ludovic Righetti

We need intelligent robots for mobile construction, the process of navigating in an environment and modifying its structure according to a geometric design.

Benchmarking Reinforcement Learning (RL) +2

Mobile Construction Benchmark

no code implementations1 Jan 2021 Wenyu Han, Chen Feng, Haoran Wu, Alexander Gao, Armand Jordana, Dongdong Liu, Lerrel Pinto, Ludovic Righetti

We need intelligent robots to perform mobile construction, the process of moving in an environment and modifying its geometry according to a design plan.

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