Search Results for author: Chen Wang

Found 190 papers, 65 papers with code

AirShot: Efficient Few-Shot Detection for Autonomous Exploration

2 code implementations7 Apr 2024 Zihan Wang, Bowen Li, Chen Wang, Sebastian Scherer

Few-shot object detection has drawn increasing attention in the field of robotic exploration, where robots are required to find unseen objects with a few online provided examples.

Few-Shot Object Detection object-detection

Salient Sparse Visual Odometry With Pose-Only Supervision

no code implementations6 Apr 2024 Siyu Chen, Kangcheng Liu, Chen Wang, Shenghai Yuan, Jianfei Yang, Lihua Xie

Visual Odometry (VO) is vital for the navigation of autonomous systems, providing accurate position and orientation estimates at reasonable costs.

Optical Flow Estimation Visual Odometry

Towards Pareto Optimal Throughput in Small Language Model Serving

no code implementations4 Apr 2024 Pol G. Recasens, Yue Zhu, Chen Wang, Eun Kyung Lee, Olivier Tardieu, Alaa Youssef, Jordi Torres, Josep Ll. Berral

Large language models (LLMs) have revolutionized the state-of-the-art of many different natural language processing tasks.

Language Modelling

PhysORD: A Neuro-Symbolic Approach for Physics-infused Motion Prediction in Off-road Driving

1 code implementation2 Apr 2024 Zhipeng Zhao, Bowen Li, Yi Du, Taimeng Fu, Chen Wang

To bridge this gap, we present PhysORD, a neural-symbolic approach integrating the conservation law, i. e., the Euler-Lagrange equation, into data-driven neural models for motion prediction in off-road driving.

motion prediction

Instruction-based Hypergraph Pretraining

no code implementations28 Mar 2024 Mingdai Yang, Zhiwei Liu, Liangwei Yang, Xiaolong Liu, Chen Wang, Hao Peng, Philip S. Yu

However, the gap between training objectives and the discrepancy between data distributions in pretraining and downstream tasks hinders the transfer of the pretrained knowledge.

Graph Learning Link Prediction +1

A Survey on Large Language Models from Concept to Implementation

no code implementations27 Mar 2024 Chen Wang, Jin Zhao, Jiaqi Gong

Recent advancements in Large Language Models (LLMs), particularly those built on Transformer architectures, have significantly broadened the scope of natural language processing (NLP) applications, transcending their initial use in chatbot technology.

Chatbot Image Captioning

Neural Markov Random Field for Stereo Matching

1 code implementation17 Mar 2024 Tongfan Guan, Chen Wang, Yun-hui Liu

Stereo matching is a core task for many computer vision and robotics applications.

Domain Generalization Inductive Bias +3

DexCap: Scalable and Portable Mocap Data Collection System for Dexterous Manipulation

no code implementations12 Mar 2024 Chen Wang, Haochen Shi, Weizhuo Wang, Ruohan Zhang, Li Fei-Fei, C. Karen Liu

Imitation learning from human hand motion data presents a promising avenue for imbuing robots with human-like dexterity in real-world manipulation tasks.

Imitation Learning

Causal Graph Discovery with Retrieval-Augmented Generation based Large Language Models

no code implementations23 Feb 2024 Yuzhe Zhang, YiPeng Zhang, Yidong Gan, Lina Yao, Chen Wang

We propose a novel method that utilizes the extensive knowledge contained within a large corpus of scientific literature to deduce causal relationships in general causal graph recovery tasks.

Causal Inference Retrieval

Confidence-aware Fine-tuning of Sequential Recommendation Systems via Conformal Prediction

no code implementations14 Feb 2024 Chen Wang, Fangxin Wang, Ruocheng Guo, Yueqing Liang, Kay Liu, Philip S. Yu

Recognizing the critical role of confidence in aligning training objectives with evaluation metrics, we propose CPFT, a versatile framework that enhances recommendation confidence by integrating Conformal Prediction (CP)-based losses with CE loss during fine-tuning.

Conformal Prediction Model Selection +1

Prompt Perturbation in Retrieval-Augmented Generation based Large Language Models

no code implementations11 Feb 2024 Zhibo Hu, Chen Wang, Yanfeng Shu, Helen, Paik, Liming Zhu

In this work, we find that the insertion of even a short prefix to the prompt leads to the generation of outputs far away from factually correct answers.

Retrieval Text Generation

OIL-AD: An Anomaly Detection Framework for Sequential Decision Sequences

no code implementations7 Feb 2024 Chen Wang, Sarah Erfani, Tansu Alpcan, Christopher Leckie

Our offline learning model is an adaptation of behavioural cloning with a transformer policy network, where we modify the training process to learn a Q function and a state value function from normal trajectories.

Anomaly Detection Behavioural cloning +2

Zero-shot sketch-based remote sensing image retrieval based on multi-level and attention-guided tokenization

1 code implementation3 Feb 2024 Bo Yang, Chen Wang, Xiaoshuang Ma, Beiping Song, Zhuang Liu

To address this gap, our study introduces a novel zero-shot, sketch-based retrieval method for remote sensing images, leveraging multi-level feature extraction, self-attention-guided tokenization and filtering, and cross-modality attention update.

Cross-Modal Retrieval Image Retrieval +2

KnowledgeNavigator: Leveraging Large Language Models for Enhanced Reasoning over Knowledge Graph

no code implementations26 Dec 2023 Tiezheng Guo, Qingwen Yang, Chen Wang, Yanyi Liu, Pan Li, Jiawei Tang, Dapeng Li, Yingyou Wen

Large language model (LLM) has achieved outstanding performance on various downstream tasks with its powerful natural language understanding and zero-shot capability, but LLM still suffers from knowledge limitation.

Hallucination Language Modelling +3

Toward General-Purpose Robots via Foundation Models: A Survey and Meta-Analysis

no code implementations14 Dec 2023 Yafei Hu, Quanting Xie, Vidhi Jain, Jonathan Francis, Jay Patrikar, Nikhil Keetha, Seungchan Kim, Yaqi Xie, Tianyi Zhang, Shibo Zhao, Yu Quan Chong, Chen Wang, Katia Sycara, Matthew Johnson-Roberson, Dhruv Batra, Xiaolong Wang, Sebastian Scherer, Zsolt Kira, Fei Xia, Yonatan Bisk

Motivated by the impressive open-set performance and content generation capabilities of web-scale, large-capacity pre-trained models (i. e., foundation models) in research fields such as Natural Language Processing (NLP) and Computer Vision (CV), we devote this survey to exploring (i) how these existing foundation models from NLP and CV can be applied to the field of robotics, and also exploring (ii) what a robotics-specific foundation model would look like.

Fine-tuning vision foundation model for crack segmentation in civil infrastructures

no code implementations7 Dec 2023 Kang Ge, Chen Wang, Yutao Guo, Yansong Tang, Zhenzhong Hu

Two parameter-efficient fine-tuning methods, adapter and low-rank adaptation, are adopted to fine-tune the foundation model in semantic segmentation: the Segment Anything Model (SAM).

Crack Segmentation Segmentation

iMatching: Imperative Correspondence Learning

no code implementations4 Dec 2023 Zitong Zhan, Dasong Gao, Yun-Jou Lin, Youjie Xia, Chen Wang

Learning feature correspondence is a foundational task in computer vision, holding immense importance for downstream applications such as visual odometry and 3D reconstruction.

3D Reconstruction Bilevel Optimization +2

Multimodality-guided Image Style Transfer using Cross-modal GAN Inversion

no code implementations4 Dec 2023 Hanyu Wang, Pengxiang Wu, Kevin Dela Rosa, Chen Wang, Abhinav Shrivastava

Compared to IIST, such approaches provide more flexibility with text-specified styles, which are useful in scenarios where the style is hard to define with reference images.

Style Transfer

Multi-view Graph Convolution for Participant Recommendation

no code implementations20 Nov 2023 Xiaolong Liu, Liangwei Yang, Chen Wang, Mingdai Yang, Zhiwei Liu, Philip S. Yu

Participant recommendation, a fundamental problem emerging together with GB, aims to find the participants for a launched group buying process with an initiator and a target item to increase the GB success rate.

Group-Aware Interest Disentangled Dual-Training for Personalized Recommendation

1 code implementation16 Nov 2023 Xiaolong Liu, Liangwei Yang, Zhiwei Liu, Xiaohan Li, Mingdai Yang, Chen Wang, Philip S. Yu

The users' group participation on social platforms reveals their interests and can be utilized as side information to mitigate the data sparsity and cold-start problem in recommender systems.

Informativeness Recommendation Systems

NOIR: Neural Signal Operated Intelligent Robots for Everyday Activities

no code implementations2 Nov 2023 Ruohan Zhang, Sharon Lee, Minjune Hwang, Ayano Hiranaka, Chen Wang, Wensi Ai, Jin Jie Ryan Tan, Shreya Gupta, Yilun Hao, Gabrael Levine, Ruohan Gao, Anthony Norcia, Li Fei-Fei, Jiajun Wu

We present Neural Signal Operated Intelligent Robots (NOIR), a general-purpose, intelligent brain-robot interface system that enables humans to command robots to perform everyday activities through brain signals.

EEG

Knowledge Graph Context-Enhanced Diversified Recommendation

1 code implementation20 Oct 2023 Xiaolong Liu, Liangwei Yang, Zhiwei Liu, Mingdai Yang, Chen Wang, Hao Peng, Philip S. Yu

Collectively, our contributions signify a substantial stride towards augmenting the panorama of recommendation diversity within the realm of KG-informed RecSys paradigms.

Knowledge Graphs Recommendation Systems

Learning to Optimise Climate Sensor Placement using a Transformer

no code implementations18 Oct 2023 Chen Wang, Victoria Huang, Gang Chen, Hui Ma, Bryce Chen, Jochen Schmidt

In this paper, we introduce a novel sensor placement approach focused on learning improvement heuristics using deep reinforcement learning (RL) methods.

Management Reinforcement Learning (RL)

Collaborative Semantic Alignment in Recommendation Systems

no code implementations13 Oct 2023 Chen Wang, Liangwei Yang, Zhiwei Liu, Xiaolong Liu, Mingdai Yang, Yueqing Liang, Philip S. Yu

However, PLMs often overlook the vital collaborative filtering signals, leading to challenges in merging collaborative and semantic representation spaces and fine-tuning semantic representations for better alignment with warm-start conditions.

Collaborative Filtering Language Modelling +1

Valuation Duration of the Stock Market

no code implementations11 Oct 2023 Ye Li, Chen Wang

In contrast, at the height of the global financial crisis, more than 2. 2% of market value is from dividends in the next year, implying a duration of 46 years.

AirIMU: Learning Uncertainty Propagation for Inertial Odometry

1 code implementation7 Oct 2023 Yuheng Qiu, Chen Wang, Xunfei Zhou, Youjie Xia, Sebastian Scherer

Accurate uncertainty estimation for inertial odometry is the foundation to achieve optimal fusion in multi-sensor systems, such as visual or LiDAR inertial odometry.

The Best Arm Evades: Near-optimal Multi-pass Streaming Lower Bounds for Pure Exploration in Multi-armed Bandits

no code implementations6 Sep 2023 Sepehr Assadi, Chen Wang

Here, $n$ is the number of arms and $\Delta$ is the reward gap between the best and the second-best arms.

Multi-Armed Bandits

Sequential Dexterity: Chaining Dexterous Policies for Long-Horizon Manipulation

no code implementations2 Sep 2023 Yuanpei Chen, Chen Wang, Li Fei-Fei, C. Karen Liu

However, the challenges arise due to the high-dimensional action space of dexterous hand and complex compositional dynamics of the long-horizon tasks.

Reinforcement Learning (RL)

BLSP: Bootstrapping Language-Speech Pre-training via Behavior Alignment of Continuation Writing

1 code implementation2 Sep 2023 Chen Wang, Minpeng Liao, Zhongqiang Huang, Jinliang Lu, Junhong Wu, Yuchen Liu, Chengqing Zong, Jiajun Zhang

One is a cascaded approach where outputs (tokens or states) of a separately trained speech recognition system are used as inputs for LLMs, which limits their potential in modeling alignment between speech and text.

speech-recognition Speech Recognition +1

Graph-based Alignment and Uniformity for Recommendation

1 code implementation18 Aug 2023 Liangwei Yang, Zhiwei Liu, Chen Wang, Mingdai Yang, Xiaolong Liu, Jing Ma, Philip S. Yu

To address this issue, we propose a novel approach, graph-based alignment and uniformity (GraphAU), that explicitly considers high-order connectivities in the user-item bipartite graph.

Collaborative Filtering Recommendation Systems +1

Estimating Effects of Long-Term Treatments

no code implementations16 Aug 2023 Shan Huang, Chen Wang, Yuan Yuan, Jinglong Zhao, Jingjing Zhang

We describe the identification assumptions, the estimation strategies, and the inference technique under this framework.

StairNetV3: Depth-aware Stair Modeling using Deep Learning

no code implementations13 Aug 2023 Chen Wang, Zhongcai Pei, Shuang Qiu, Yachun Wang, Zhiyong Tang

Experiments on our dataset show that our method has a significant improvement over the previous best monocular vision method, with an intersection over union (IOU) increase of 3. 4 %, and the lightweight version has a fast detection speed and can meet the requirements of most real-time applications.

Point cloud reconstruction

Digging into Depth Priors for Outdoor Neural Radiance Fields

no code implementations8 Aug 2023 Chen Wang, Jiadai Sun, Lina Liu, Chenming Wu, Zhelun Shen, Dayan Wu, Yuchao Dai, Liangjun Zhang

However, the shape-radiance ambiguity of radiance fields remains a challenge, especially in the sparse viewpoints setting.

Novel View Synthesis

Primitive Skill-based Robot Learning from Human Evaluative Feedback

no code implementations28 Jul 2023 Ayano Hiranaka, Minjune Hwang, Sharon Lee, Chen Wang, Li Fei-Fei, Jiajun Wu, Ruohan Zhang

By combining them, SEED reduces the human effort required in RLHF and increases safety in training robot manipulation with RL in real-world settings.

reinforcement-learning Reinforcement Learning (RL) +1

SwinMM: Masked Multi-view with Swin Transformers for 3D Medical Image Segmentation

1 code implementation24 Jul 2023 YiQing Wang, Zihan Li, Jieru Mei, Zihao Wei, Li Liu, Chen Wang, Shengtian Sang, Alan Yuille, Cihang Xie, Yuyin Zhou

To address this limitation, we present Masked Multi-view with Swin Transformers (SwinMM), a novel multi-view pipeline for enabling accurate and data-efficient self-supervised medical image analysis.

Contrastive Learning Image Reconstruction +4

FDCT: Fast Depth Completion for Transparent Objects

1 code implementation23 Jul 2023 Tianan Li, Zhehan Chen, Huan Liu, Chen Wang

To address these challenges, we propose a Fast Depth Completion framework for Transparent objects (FDCT), which also benefits downstream tasks like object pose estimation.

Autonomous Driving Depth Completion +3

VoxPoser: Composable 3D Value Maps for Robotic Manipulation with Language Models

1 code implementation12 Jul 2023 Wenlong Huang, Chen Wang, Ruohan Zhang, Yunzhu Li, Jiajun Wu, Li Fei-Fei

The composed value maps are then used in a model-based planning framework to zero-shot synthesize closed-loop robot trajectories with robustness to dynamic perturbations.

Language Modelling Robot Manipulation

Multi-task Item-attribute Graph Pre-training for Strict Cold-start Item Recommendation

1 code implementation26 Jun 2023 Yuwei Cao, Liangwei Yang, Chen Wang, Zhiwei Liu, Hao Peng, Chenyu You, Philip S. Yu

We explore the role of the fine-grained item attributes in bridging the gaps between the existing and the SCS items and pre-train a knowledgeable item-attribute graph for SCS item recommendation.

Attribute Multi-Task Learning +1

DreamEditor: Text-Driven 3D Scene Editing with Neural Fields

1 code implementation23 Jun 2023 Jingyu Zhuang, Chen Wang, Lingjie Liu, Liang Lin, Guanbin Li

Neural fields have achieved impressive advancements in view synthesis and scene reconstruction.

3D scene Editing

Image Harmonization with Diffusion Model

no code implementations17 Jun 2023 Jiajie Li, Jian Wang, Chen Wang, JinJun Xiong

In this paper, we present a novel approach for image harmonization by leveraging diffusion models.

Image Harmonization

iSLAM: Imperative SLAM

1 code implementation13 Jun 2023 Taimeng Fu, Shaoshu Su, Yiren Lu, Chen Wang

Simultaneous Localization and Mapping (SLAM) stands as one of the critical challenges in robot navigation.

Bilevel Optimization Motion Estimation +3

Tight Regret Bounds for Single-pass Streaming Multi-armed Bandits

1 code implementation3 Jun 2023 Chen Wang

We first improve the regret lower bound to $\Omega(K^{1/3}T^{2/3})$ for algorithms with $o(K)$ memory, which matches the uniform exploration regret up to a logarithm factor in $T$.

Multi-Armed Bandits Open-Ended Question Answering

PanoGRF: Generalizable Spherical Radiance Fields for Wide-baseline Panoramas

no code implementations NeurIPS 2023 Zheng Chen, Yan-Pei Cao, Yuan-Chen Guo, Chen Wang, Ying Shan, Song-Hai Zhang

Unlike generalizable radiance fields trained on perspective images, PanoGRF avoids the information loss from panorama-to-perspective conversion and directly aggregates geometry and appearance features of 3D sample points from each panoramic view based on spherical projection.

Depth Estimation

Trustworthy Sensor Fusion against Inaudible Command Attacks in Advanced Driver-Assistance System

no code implementations30 May 2023 Jiwei Guan, Lei Pan, Chen Wang, Shui Yu, Longxiang Gao, Xi Zheng

As deep learning has been applied to increasingly sensitive tasks, uncertainty measurement is crucial in helping improve model robustness, especially in mission-critical scenarios.

Autonomous Driving Open-Ended Question Answering +1

CUEING: a lightweight model to Capture hUman attEntion In driviNG

no code implementations25 May 2023 Linfeng Liang, Yao Deng, Yang Zhang, Jianchao Lu, Chen Wang, Quanzheng Sheng, Xi Zheng

Discrepancies in decision-making between Autonomous Driving Systems (ADS) and human drivers underscore the need for intuitive human gaze predictors to bridge this gap, thereby improving user trust and experience.

Autonomous Driving Decision Making +1

Revolutionizing Agrifood Systems with Artificial Intelligence: A Survey

no code implementations3 May 2023 Tao Chen, Liang Lv, Di Wang, Jing Zhang, Yue Yang, Zeyang Zhao, Chen Wang, Xiaowei Guo, Hao Chen, Qingye Wang, Yufei Xu, Qiming Zhang, Bo Du, Liangpei Zhang, DaCheng Tao

With the world population rapidly increasing, transforming our agrifood systems to be more productive, efficient, safe, and sustainable is crucial to mitigate potential food shortages.

Learned Focused Plenoptic Image Compression with Microimage Preprocessing and Global Attention

1 code implementation30 Apr 2023 Kedeng Tong, Xin Jin, Yuqing Yang, Chen Wang, Jinshi Kang, Fan Jiang

Also, it achieves 18. 73% bitrate saving and generates perceptually pleasant reconstructions compared to the state-of-the-art end-to-end image compression methods, which benefits the applications of focused plenoptic cameras greatly.

Image Compression

AirLoc: Object-based Indoor Relocalization

1 code implementation3 Apr 2023 Aryan, Bowen Li, Sebastian Scherer, Yun-Jou Lin, Chen Wang

This results in a robust, accurate, and portable indoor relocalization system, which outperforms the state-of-the-art methods in room-level relocalization by 9. 5% of PR-AUC and 7% of accuracy.

Object

HS-Pose: Hybrid Scope Feature Extraction for Category-level Object Pose Estimation

1 code implementation CVPR 2023 Linfang Zheng, Chen Wang, Yinghan Sun, Esha Dasgupta, Hua Chen, Ales Leonardis, Wei zhang, Hyung Jin Chang

In this paper, we focus on the problem of category-level object pose estimation, which is challenging due to the large intra-category shape variation.

Pose Estimation Translation

VMesh: Hybrid Volume-Mesh Representation for Efficient View Synthesis

no code implementations28 Mar 2023 Yuan-Chen Guo, Yan-Pei Cao, Chen Wang, Yu He, Ying Shan, XiaoHu Qie, Song-Hai Zhang

With the emergence of neural radiance fields (NeRFs), view synthesis quality has reached an unprecedented level.

2k

Boundary Unlearning

no code implementations21 Mar 2023 Min Chen, Weizhuo Gao, Gaoyang Liu, Kai Peng, Chen Wang

In this paper, we refocus our attention from the parameter space to the decision space of the DNN model, and propose Boundary Unlearning, a rapid yet effective way to unlearn an entire class from a trained DNN model.

Face Recognition Image Classification +1

Assessing the strength of many instruments with the first-stage F and Cragg-Donald statistics

no code implementations28 Feb 2023 Zhenhong Huang, Chen Wang, Jianfeng Yao

As for the Cragg-Donald statistic, we obtain an asymptotically valid correction in the case of two endogenous variables.

valid

A specification test for the strength of instrumental variables

no code implementations28 Feb 2023 Zhenhong Huang, Chen Wang, Jianfeng Yao

This paper develops a new specification test for the instrument weakness when the number of instruments $K_n$ is large with a magnitude comparable to the sample size $n$.

Emerging Synergies in Causality and Deep Generative Models: A Survey

no code implementations29 Jan 2023 Guanglin Zhou, Shaoan Xie, GuangYuan Hao, Shiming Chen, Biwei Huang, Xiwei Xu, Chen Wang, Liming Zhu, Lina Yao, Kun Zhang

In the field of artificial intelligence (AI), the quest to understand and model data-generating processes (DGPs) is of paramount importance.

Causal Identification Fairness +1

Benchmarking Robustness in Neural Radiance Fields

no code implementations10 Jan 2023 Chen Wang, Angtian Wang, Junbo Li, Alan Yuille, Cihang Xie

We find that NeRF-based models are significantly degraded in the presence of corruption, and are more sensitive to a different set of corruptions than image recognition models.

Benchmarking Camera Calibration +2

Boundary Unlearning: Rapid Forgetting of Deep Networks via Shifting the Decision Boundary

no code implementations CVPR 2023 Min Chen, Weizhuo Gao, Gaoyang Liu, Kai Peng, Chen Wang

In this paper, we refocus our attention from the parameter space to the decision space of the DNN model, and propose Boundary Unlearning, a rapid yet effective way to unlearn an entire class from a trained DNN model.

Face Recognition Image Classification +1

RGB-D-based Stair Detection using Deep Learning for Autonomous Stair Climbing

no code implementations2 Dec 2022 Chen Wang, Zhongcai Pei, Shuang Qiu, Zhiyong Tang

Specifically, we design a selective module, which can make the network learn the complementary relationship between the RGB map and the depth map and effectively combine the information from the RGB map and the depth map in different scenes.

Ranking-based Group Identification via Factorized Attention on Social Tripartite Graph

1 code implementation2 Nov 2022 Mingdai Yang, Zhiwei Liu, Liangwei Yang, Xiaolong Liu, Chen Wang, Hao Peng, Philip S. Yu

PA layers efficiently learn the relatedness of non-neighbor nodes to improve the information propagation to users.

Sequential Recommendation with Auxiliary Item Relationships via Multi-Relational Transformer

1 code implementation24 Oct 2022 Ziwei Fan, Zhiwei Liu, Chen Wang, Peijie Huang, Hao Peng, Philip S. Yu

However, it remains a significant challenge to model auxiliary item relationships in SR. To simultaneously model high-order item-item transitions in sequences and auxiliary item relationships, we propose a Multi-relational Transformer capable of modeling auxiliary item relationships for SR (MT4SR).

Sequential Recommendation

Discrete Cross-Modal Alignment Enables Zero-Shot Speech Translation

1 code implementation18 Oct 2022 Chen Wang, Yuchen Liu, Boxing Chen, Jiajun Zhang, Wei Luo, Zhongqiang Huang, Chengqing Zong

Existing zero-shot methods fail to align the two modalities of speech and text into a shared semantic space, resulting in much worse performance compared to the supervised ST methods.

Automatic Speech Recognition Automatic Speech Recognition (ASR) +4

Requirements Engineering for Machine Learning: A Review and Reflection

no code implementations3 Oct 2022 Zhongyi Pei, Lin Liu, Chen Wang, Jianmin Wang

Today, many industrial processes are undergoing digital transformation, which often requires the integration of well-understood domain models and state-of-the-art machine learning technology in business processes.

Decision Making

NeRF-Loc: Transformer-Based Object Localization Within Neural Radiance Fields

no code implementations24 Sep 2022 Jiankai Sun, Yan Xu, Mingyu Ding, Hongwei Yi, Chen Wang, Jingdong Wang, Liangjun Zhang, Mac Schwager

Using current NeRF training tools, a robot can train a NeRF environment model in real-time and, using our algorithm, identify 3D bounding boxes of objects of interest within the NeRF for downstream navigation or manipulation tasks.

Object Localization Robot Navigation

Contrastive Counterfactual Learning for Causality-aware Interpretable Recommender Systems

no code implementations13 Aug 2022 Guanglin Zhou, Chengkai Huang, Xiaocong Chen, Xiwei Xu, Chen Wang, Liming Zhu, Lina Yao

Recognizing that confounders may be elusive, we propose a contrastive self-supervised learning to minimize exposure bias, employing inverse propensity scores and expanding the positive sample set.

Causal Inference counterfactual +2

Learning to Infer Counterfactuals: Meta-Learning for Estimating Multiple Imbalanced Treatment Effects

no code implementations13 Aug 2022 Guanglin Zhou, Lina Yao, Xiwei Xu, Chen Wang, Liming Zhu

We regularly consider answering counterfactual questions in practice, such as "Would people with diabetes take a turn for the better had they choose another medication?".

counterfactual Counterfactual Inference +3

GOCA: Guided Online Cluster Assignment for Self-Supervised Video Representation Learning

1 code implementation20 Jul 2022 Huseyin Coskun, Alireza Zareian, Joshua L. Moore, Federico Tombari, Chen Wang

Specifically, we outperform the state of the art by 7% on UCF and 4% on HMDB for video retrieval, and 5% on UCF and 6% on HMDB for video classification

Action Recognition Clustering +6

AGENT: An Adaptive Grouping Entrapping Method of Flocking Systems

no code implementations25 Jun 2022 Chen Wang, Minqiang Gu, Wenxi Kuang, Dongliang Wang, Weicheng Luo, Zhaohui Shi, Zhun Fan

This study proposes a distributed algorithm that makes agents' adaptive grouping entrap multiple targets via automatic decision making, smooth flocking, and well-distributed entrapping.

Decision Making

DeepPortraitDrawing: Generating Human Body Images from Freehand Sketches

no code implementations4 May 2022 Xian Wu, Chen Wang, Hongbo Fu, Ariel Shamir, Song-Hai Zhang, Shi-Min Hu

Researchers have explored various ways to generate realistic images from freehand sketches, e. g., for objects and human faces.

Image Generation Sketch-to-Image Translation

Prediction and Control of Focal Seizure Spread: Random Walk with Restart on Heterogeneous Brain Networks

no code implementations14 Apr 2022 Chen Wang, Sida Chen, Liang Huang, Lianchun Yu

In this study, we used a whole-brain model to show that heterogeneity in nodal excitability had a significant impact on seizure propagation in the networks, and compromised the prediction accuracy with structural connections.

Off-Policy Evaluation with Online Adaptation for Robot Exploration in Challenging Environments

no code implementations7 Apr 2022 Yafei Hu, Junyi Geng, Chen Wang, John Keller, Sebastian Scherer

To the best of our knowledge, this work for the first time demonstrates value function prediction on real-world dataset for robot exploration in challenging subterranean and urban environments.

Off-policy evaluation

Revisiting Neighborhood-based Link Prediction for Collaborative Filtering

no code implementations29 Mar 2022 Hao-Ming Fu, Patrick Poirson, Kwot Sin Lee, Chen Wang

While there is a rich literature of such works using advanced models for learning user and item representations separately, item recommendation is essentially a link prediction problem between users and items.

Collaborative Filtering Link Prediction +1

Revisiting Domain Generalized Stereo Matching Networks from a Feature Consistency Perspective

1 code implementation CVPR 2022 Jiawei Zhang, Xiang Wang, Xiao Bai, Chen Wang, Lei Huang, Yimin Chen, Lin Gu, Jun Zhou, Tatsuya Harada, Edwin R. Hancock

The stereo contrastive feature loss function explicitly constrains the consistency between learned features of matching pixel pairs which are observations of the same 3D points.

Contrastive Learning Stereo Matching

Pursuit-evasion differential games of players with different speeds in spaces of different dimensions

no code implementations28 Feb 2022 Shuai Li, Chen Wang, Guangming Xie

We study pursuit-evasion differential games between a faster pursuer moving in 3D space and an evader moving in a plane.

Identifying Oscillations Injected by Inverter-Based Solar Energy Sources

no code implementations23 Feb 2022 Chen Wang, Luigi Vanfretti, Chetan Mishra, Kevin D. Jones, R. Matthew Gardner

This new mode was recognized from the analysis of real-world ambient synchrophasor and point-of-wave data.

SADN: Learned Light Field Image Compression with Spatial-Angular Decorrelation

2 code implementations22 Feb 2022 Kedeng Tong, Xin Jin, Chen Wang, Fan Jiang

Light field image becomes one of the most promising media types for immersive video applications.

Image Compression

Large-scale Personalized Video Game Recommendation via Social-aware Contextualized Graph Neural Network

1 code implementation7 Feb 2022 Liangwei Yang, Zhiwei Liu, Yu Wang, Chen Wang, Ziwei Fan, Philip S. Yu

We conduct a comprehensive analysis of users' online game behaviors, which motivates the necessity of handling those three characteristics in the online game recommendation.

Recommendation Systems

EVBattery: A Large-Scale Electric Vehicle Dataset for Battery Health and Capacity Estimation

no code implementations28 Jan 2022 Haowei He, Jingzhao Zhang, Yanan Wang, Benben Jiang, Shaobo Huang, Chen Wang, Yang Zhang, Gengang Xiong, Xuebing Han, Dongxu Guo, Guannan He, Minggao Ouyang

In addition to demonstrating how existing deep learning algorithms can be applied to this task, we further develop an algorithm that exploits the data structure of battery systems.

Anomaly Detection Capacity Estimation +1

NeRF-SR: High-Quality Neural Radiance Fields using Supersampling

1 code implementation3 Dec 2021 Chen Wang, Xian Wu, Yuan-Chen Guo, Song-Hai Zhang, Yu-Wing Tai, Shi-Min Hu

We present NeRF-SR, a solution for high-resolution (HR) novel view synthesis with mostly low-resolution (LR) inputs.

Novel View Synthesis Vocal Bursts Intensity Prediction

AirObject: A Temporally Evolving Graph Embedding for Object Identification

1 code implementation CVPR 2022 Nikhil Varma Keetha, Chen Wang, Yuheng Qiu, Kuan Xu, Sebastian Scherer

In this context, we propose a novel temporal 3D object encoding approach, dubbed AirObject, to obtain global keypoint graph-based embeddings of objects.

Graph Attention Graph Embedding +2

Unsupervised Online Learning for Robotic Interestingness with Visual Memory

1 code implementation18 Nov 2021 Chen Wang, Yuheng Qiu, Wenshan Wang, Yafei Hu, Seungchan Kim, Sebastian Scherer

Instead, we propose to develop a method that automatically adapts online to the environment to report interesting scenes quickly.

Translation

Pre-training Graph Neural Network for Cross Domain Recommendation

no code implementations16 Nov 2021 Chen Wang, Yueqing Liang, Zhiwei Liu, Tao Zhang, Philip S. Yu

Then, we transfer the pre-trained graph encoder to initialize the node embeddings on the target domain, which benefits the fine-tuning of the single domain recommender system on the target domain.

Graph Representation Learning Recommendation Systems

Cycle-Balanced Representation Learning For Counterfactual Inference

1 code implementation29 Oct 2021 Guanglin Zhou, Lina Yao, Xiwei Xu, Chen Wang, Liming Zhu

With the widespread accumulation of observational data, researchers obtain a new direction to learn counterfactual effects in many domains (e. g., health care and computational advertising) without Randomized Controlled Trials(RCTs).

counterfactual Counterfactual Inference +2

Pseudo Supervised Monocular Depth Estimation with Teacher-Student Network

no code implementations22 Oct 2021 Huan Liu, Junsong Yuan, Chen Wang, Jun Chen

Despite recent improvement of supervised monocular depth estimation, the lack of high quality pixel-wise ground truth annotations has become a major hurdle for further progress.

Knowledge Distillation Monocular Depth Estimation +1

Deep Fraud Detection on Non-attributed Graph

no code implementations4 Oct 2021 Chen Wang, Yingtong Dou, Min Chen, Jia Chen, Zhiwei Liu, Philip S. Yu

The successes of most previous methods heavily rely on rich node features and high-fidelity labels.

Contrastive Learning Fraud Detection

Sublinear Time and Space Algorithms for Correlation Clustering via Sparse-Dense Decompositions

no code implementations29 Sep 2021 Sepehr Assadi, Chen Wang

We present a new approach for solving (minimum disagreement) correlation clustering that results in sublinear algorithms with highly efficient time and space complexity for this problem.

Clustering

AirDOS: Dynamic SLAM benefits from Articulated Objects

1 code implementation21 Sep 2021 Yuheng Qiu, Chen Wang, Wenshan Wang, Mina Henein, Sebastian Scherer

To the best of our knowledge, AirDOS is the first dynamic object-aware SLAM system demonstrating that camera pose estimation can be improved by incorporating dynamic articulated objects.

Motion Estimation Object +1

Single Person Pose Estimation: A Survey

no code implementations21 Sep 2021 Feng Zhang, Xiatian Zhu, Chen Wang

Human pose estimation in unconstrained images and videos is a fundamental computer vision task.

Data Augmentation Pose Estimation

Low-resolution Human Pose Estimation

no code implementations19 Sep 2021 Chen Wang, Feng Zhang, Xiatian Zhu, Shuzhi Sam Ge

Human pose estimation has achieved significant progress on images with high imaging resolution.

Pose Estimation

AirLoop: Lifelong Loop Closure Detection

1 code implementation18 Sep 2021 Dasong Gao, Chen Wang, Sebastian Scherer

Nevertheless, simply finetuning the model on new data is infeasible since it may cause the model's performance on previously learned data to degrade over time, which is also known as the problem of catastrophic forgetting.

Incremental Learning Loop Closure Detection +1

Blockchain-based Trustworthy Federated Learning Architecture

no code implementations16 Aug 2021 Sin Kit Lo, Yue Liu, Qinghua Lu, Chen Wang, Xiwei Xu, Hye-Young Paik, Liming Zhu

To enhance the accountability and fairness of federated learning systems, we present a blockchain-based trustworthy federated learning architecture.

Fairness Federated Learning +1

Co-GAIL: Learning Diverse Strategies for Human-Robot Collaboration

1 code implementation13 Aug 2021 Chen Wang, Claudia Pérez-D'Arpino, Danfei Xu, Li Fei-Fei, C. Karen Liu, Silvio Savarese

Our method co-optimizes a human policy and a robot policy in an interactive learning process: the human policy learns to generate diverse and plausible collaborative behaviors from demonstrations while the robot policy learns to assist by estimating the unobserved latent strategy of its human collaborator.

What Matters in Learning from Offline Human Demonstrations for Robot Manipulation

1 code implementation6 Aug 2021 Ajay Mandlekar, Danfei Xu, Josiah Wong, Soroush Nasiriany, Chen Wang, Rohun Kulkarni, Li Fei-Fei, Silvio Savarese, Yuke Zhu, Roberto Martín-Martín

Based on the study, we derive a series of lessons including the sensitivity to different algorithmic design choices, the dependence on the quality of the demonstrations, and the variability based on the stopping criteria due to the different objectives in training and evaluation.

Imitation Learning reinforcement-learning +2

Interpreting Depression From Question-wise Long-term Video Recording of SDS Evaluation

no code implementations25 Jun 2021 Wanqing Xie, Lizhong Liang, Yao Lu, Chen Wang, Jihong Shen, Hui Luo, Xiaofeng Liu

To automatically interpret depression from the SDS evaluation and the paired video, we propose an end-to-end hierarchical framework for the long-term variable-length video, which is also conditioned on the questionnaire results and the answering time.

Depression Detection

Learning Implicit Glyph Shape Representation

no code implementations16 Jun 2021 Ying-Tian Liu, Yuan-Chen Guo, Yi-Xiao Li, Chen Wang, Song-Hai Zhang

In this paper, we present a novel implicit glyph shape representation, which models glyphs as shape primitives enclosed by quadratic curves, and naturally enables generating glyph images at arbitrary high resolutions.

Font Style Transfer Vector Graphics

Spatial-temporal Conv-sequence Learning with Accident Encoding for Traffic Flow Prediction

no code implementations21 May 2021 Zichuan Liu, Rui Zhang, Chen Wang, Zhu Xiao, Hongbo Jiang

In an intelligent transportation system, the key problem of traffic forecasting is how to extract periodic temporal dependencies and complex spatial correlations.

De-Pois: An Attack-Agnostic Defense against Data Poisoning Attacks

no code implementations8 May 2021 Jian Chen, Xuxin Zhang, Rui Zhang, Chen Wang, Ling Liu

The results demonstrate that De-Pois is effective and efficient for detecting poisoned data against all the four types of poisoning attacks, with both the accuracy and F1-score over 0. 9 on average.

Data Augmentation Data Poisoning

Robust Sensor Fusion Algorithms Against Voice Command Attacks in Autonomous Vehicles

1 code implementation20 Apr 2021 Jiwei Guan, Xi Zheng, Chen Wang, Yipeng Zhou, Alireza Jolfa

This technology enables drivers to use voice commands to control the vehicle and will be soon available in Advanced Driver Assistance Systems (ADAS).

Autonomous Driving Multimodal Deep Learning +1

Few-Shot Meta-Learning on Point Cloud for Semantic Segmentation

no code implementations7 Apr 2021 Xudong Li, Li Feng, Lei LI, Chen Wang

With a good understanding of environmental information, construction robots can work better.

Autonomous Driving Meta-Learning +1

Decentralized Circle Formation Control for Fish-like Robots in the Real-world via Reinforcement Learning

no code implementations9 Mar 2021 Tianhao Zhang, Yueheng Li, Shuai Li, Qiwei Ye, Chen Wang, Guangming Xie

In this paper, the circle formation control problem is addressed for a group of cooperative underactuated fish-like robots involving unknown nonlinear dynamics and disturbances.

reinforcement-learning Reinforcement Learning (RL)

Human-Understandable Decision Making for Visual Recognition

no code implementations5 Mar 2021 Xiaowei Zhou, Jie Yin, Ivor Tsang, Chen Wang

The widespread use of deep neural networks has achieved substantial success in many tasks.

Decision Making

A parametric congruence motivated by Orr's identity

no code implementations4 Mar 2021 Chen Wang, Zhi-Wei Sun

For any $m, n\in\mathbb{N}=\{0, 1, 2\ldots\}$, the truncated hypergeometric series ${}_{m+1}F_m$ is defined by $$ {}_{m+1}F_m\bigg[\begin{matrix}x_0&x_1&\ldots&x_m\\ &y_1&\ldots&y_m\end{matrix}\bigg|z\bigg]_n=\sum_{k=0}^n\frac{(x_0)_k(x_1)_k\cdots(x_m)_k}{(y_1)_k\cdots(y_m)_k}\cdot\frac{z^k}{k!

Number Theory Combinatorics 11A07, 33C20, 11B65, 05A10

Generalization Through Hand-Eye Coordination: An Action Space for Learning Spatially-Invariant Visuomotor Control

no code implementations28 Feb 2021 Chen Wang, Rui Wang, Ajay Mandlekar, Li Fei-Fei, Silvio Savarese, Danfei Xu

Key to such capability is hand-eye coordination, a cognitive ability that enables humans to adaptively direct their movements at task-relevant objects and be invariant to the objects' absolute spatial location.

Imitation Learning Zero-shot Generalization

Learning Purified Feature Representations from Task-irrelevant Labels

no code implementations22 Feb 2021 Yinghui Li, Chen Wang, Yangning Li, Hai-Tao Zheng, Ying Shen

Learning an empirically effective model with generalization using limited data is a challenging task for deep neural networks.

ScalingNet: extracting features from raw EEG data for emotion recognition

no code implementations7 Feb 2021 Jingzhao Hu, Chen Wang, Qiaomei Jia, Qirong Bu, Jun Feng

Convolutional Neural Networks(CNNs) has achieved remarkable performance breakthrough in a variety of tasks.

EEG Emotion Recognition

Lookup subnet based Spatial Graph Convolutional neural Network

no code implementations4 Feb 2021 Jingzhao Hu, Xiaoqi Zhang, Qiaomei Jia, Chen Wang, Qirong Bu, Jun Feng

Convolutional Neural Networks(CNNs) has achieved remarkable performance breakthrough in Euclidean structure data.

An Improved Level Set Method for Reachability Problems in Differential Games

no code implementations24 Jan 2021 Wei Liao, Taotao Liang, Pengwen Xiong, Chen Wang, Aiguo Song, Peter X. Liu

The reachable tube is described as a sublevel set of a value function, which is the viscosity solution of a Hamilton-Jacobi equation with running cost.

Comparisons of Graph Neural Networks on Cancer Classification Leveraging a Joint of Phenotypic and Genetic Features

no code implementations14 Jan 2021 David Oniani, Chen Wang, Yiqing Zhao, Andrew Wen, Hongfang Liu, Feichen Shen

We applied and compared eight GNN models including AGNN, ChebNet, GAT, GCN, GIN, GraphSAGE, SGC, and TAGCN on the Mayo Clinic cancer disease dataset and assessedtheir performance as well as compared them with each other and with more conventional machinelearning models such as decision tree, gradient boosting, multi-layer perceptron, naive bayes, andrandom forest which we used as the baselines.

Architectural Patterns for the Design of Federated Learning Systems

no code implementations7 Jan 2021 Sin Kit Lo, Qinghua Lu, Liming Zhu, Hye-Young Paik, Xiwei Xu, Chen Wang

Therefore, in this paper, we present a collection of architectural patterns to deal with the design challenges of federated learning systems.

BIG-bench Machine Learning Federated Learning +1

FSV: Learning to Factorize Soft Value Function for Cooperative Multi-Agent Reinforcement Learning

no code implementations1 Jan 2021 Yueheng Li, Tianhao Zhang, Chen Wang, Jinan Sun, Shikun Zhang, Guangming Xie

We explore energy-based solutions for cooperative multi-agent reinforcement learning (MARL) using the idea of function factorization in centralized training with decentralized execution (CTDE).

Multi-agent Reinforcement Learning reinforcement-learning +3

Bridging Graph Network to Lifelong Learning with Feature Interaction

no code implementations1 Jan 2021 Chen Wang, Yuheng Qiu, Sebastian Scherer

In this paper, we aim to bridge GNN to lifelong learning, which is to overcome the effect of ``catastrophic forgetting" for continuously learning a sequence of graph-structured tasks.

Graph Classification Node Classification

Federated Unlearning

no code implementations27 Dec 2020 Gaoyang Liu, Xiaoqiang Ma, Yang Yang, Chen Wang, Jiangchuan Liu

In this paper, we take the first step to fill this gap by presenting FedEraser, the first federated unlearning methodology that can eliminate the influence of a federated client's data on the global FL model while significantly reducing the time used for constructing the unlearned FL model. The basic idea of FedEraser is to trade the central server's storage for unlearned model's construction time, where FedEraser reconstructs the unlearned model by leveraging the historical parameter updates of federated clients that have been retained at the central server during the training process of FL.

Data Poisoning Federated Learning

Distances to molecular clouds in the second Galactic quadrant

no code implementations17 Dec 2020 Qing-Zeng Yan, Ji Yang, Yan Sun, Yang Su, Ye Xu, Hongchi Wang, Xin Zhou, Chen Wang

We present distances to 76 medium-sized molecular clouds and an extra large-scale one in the second Galactic quadrant ($104. 75^\circ <l<150. 25^\circ $ and $|b|<5. 25^\circ$), 73 of which are accurately measured for the first time.

Astrophysics of Galaxies

Schema Extraction on Semi-structured Data

no code implementations15 Dec 2020 Panpan Li, Yikun Gong, Chen Wang

The schemas obtained by the structural methods are more interpretable, and the statistical methods have better applicability and generalization ability.

Management

Congruences concerning generalized central trinomial coefficients

no code implementations8 Dec 2020 Jia-Yu Chen, Chen Wang

For any $n\in\mathbb{N}=\{0, 1, 2,\ldots\}$ and $b, c\in\mathbb{Z}$, the generalized central trinomial coefficient $T_n(b, c)$ denotes the coefficient of $x^n$ in the expansion of $(x^2+bx+c)^n$.

Number Theory Combinatorics 11A07, 11B75, 11B65, 05A10

Spin-Wave Doppler Shift by Magnon Drag in Magnetic Insulators

no code implementations30 Nov 2020 Tao Yu, Chen Wang, Michael A. Sentef, Gerrit E. W. Bauer

The Doppler shift of the quasiparticle dispersion by charge currents is responsible for the critical supercurrents in superconductors and instabilities of the magnetic ground state of metallic ferromagnets.

Mesoscale and Nanoscale Physics

Time Series Data Imputation: A Survey on Deep Learning Approaches

no code implementations23 Nov 2020 Chenguang Fang, Chen Wang

Time series methods based on deep learning have made progress with the usage of models like RNN, since it captures time information from data.

Data Integration Imputation +2

Object-centered image stitching

no code implementations ECCV 2018 Charles Herrmann, Chen Wang, Richard Strong Bowen, Emil Keyder, Ramin Zabih

Image stitching is typically decomposed into three phases: registration, which aligns the source images with a common target image; seam finding, which determines for each target pixel the source image it should come from; and blending, which smooths transitions over the seams.

Image Stitching Object +2

Robust image stitching with multiple registrations

no code implementations ECCV 2018 Charles Herrmann, Chen Wang, Richard Strong Bowen, Emil Keyder, Michael Krainin, Ce Liu, Ramin Zabih

Here, we observe that the use of a single registration often leads to errors, especially in scenes with significant depth variation or object motion.

Image Stitching

HMFlow: Hybrid Matching Optical Flow Network for Small and Fast-Moving Objects

no code implementations19 Nov 2020 Suihanjin Yu, Youmin Zhang, Chen Wang, Xiao Bai, Liang Zhang, Edwin R. Hancock

To address this problem, we introduce a lightweight but effective Global Matching Component (GMC) to grab global matching features.

Optical Flow Estimation

On the Global Self-attention Mechanism for Graph Convolutional Networks

no code implementations21 Oct 2020 Chen Wang, Chengyuan Deng

Applying Global Self-attention (GSA) mechanism over features has achieved remarkable success on Convolutional Neural Networks (CNNs).

Can Steering Wheel Detect Your Driving Fatigue?

no code implementations18 Oct 2020 Jianchao Lu, Xi Zheng, Tianyi Zhang, Michael Sheng, Chen Wang, Jiong Jin, Shui Yu, Wanlei Zhou

In this paper, we propose a novel driver fatigue detection method by embedding surface electromyography (sEMG) sensors on a steering wheel.

Attn-HybridNet: Improving Discriminability of Hybrid Features with Attention Fusion

2 code implementations13 Oct 2020 Sunny Verma, Chen Wang, Liming Zhu, Wei Liu

The principal component analysis network (PCANet) is an unsupervised parsimonious deep network, utilizing principal components as filters in its convolution layers.

Lifelong Graph Learning

2 code implementations CVPR 2022 Chen Wang, Yuheng Qiu, Dasong Gao, Sebastian Scherer

In this paper, we bridge GNN and lifelong learning by converting a continual graph learning problem to a regular graph learning problem so GNN can inherit the lifelong learning techniques developed for convolutional neural networks (CNN).

Action Recognition Continual Learning +4

Online Visual Place Recognition via Saliency Re-identification

1 code implementation29 Jul 2020 Han Wang, Chen Wang, Lihua Xie

As an essential component of visual simultaneous localization and mapping (SLAM), place recognition is crucial for robot navigation and autonomous driving.

Autonomous Driving Robot Navigation +3

A Systematic Literature Review on Federated Machine Learning: From A Software Engineering Perspective

no code implementations22 Jul 2020 Sin Kit Lo, Qinghua Lu, Chen Wang, Hye-Young Paik, Liming Zhu

Federated learning is an emerging machine learning paradigm where clients train models locally and formulate a global model based on the local model updates.

BIG-bench Machine Learning Federated Learning

Multi-Agent Reinforcement Learning in a Realistic Limit Order Book Market Simulation

no code implementations10 Jun 2020 Michaël Karpe, Jin Fang, Zhongyao Ma, Chen Wang

Optimal order execution is widely studied by industry practitioners and academic researchers because it determines the profitability of investment decisions and high-level trading strategies, particularly those involving large volumes of orders.

Multi-agent Reinforcement Learning Q-Learning +2

Supervised Contrastive Learning

23 code implementations NeurIPS 2020 Prannay Khosla, Piotr Teterwak, Chen Wang, Aaron Sarna, Yonglong Tian, Phillip Isola, Aaron Maschinot, Ce Liu, Dilip Krishnan

Contrastive learning applied to self-supervised representation learning has seen a resurgence in recent years, leading to state of the art performance in the unsupervised training of deep image models.

Class Incremental Learning Contrastive Learning +4

Exploration with Limited Memory: Streaming Algorithms for Coin Tossing, Noisy Comparisons, and Multi-Armed Bandits

no code implementations9 Apr 2020 Sepehr Assadi, Chen Wang

In particular, algorithms with optimal sample complexity (number of coin tosses) have been known for this problem for quite some time.

Multi-Armed Bandits

TartanAir: A Dataset to Push the Limits of Visual SLAM

1 code implementation31 Mar 2020 Wenshan Wang, Delong Zhu, Xiangwei Wang, Yaoyu Hu, Yuheng Qiu, Chen Wang, Yafei Hu, Ashish Kapoor, Sebastian Scherer

We present a challenging dataset, the TartanAir, for robot navigation task and more.

Robotics

Intensity Scan Context: Coding Intensity and Geometry Relations for Loop Closure Detection

1 code implementation12 Mar 2020 Han Wang, Chen Wang, Lihua Xie

Loop closure detection is an essential and challenging problem in simultaneous localization and mapping (SLAM).

Loop Closure Detection Retrieval +1

Cooperative Pursuit with Multi-Pursuer and One Faster Free-moving Evader

1 code implementation IEEE Transactions on Cybernetics 2020 Xu Fang, Chen Wang, Lihua Xie, Jie Chen

When the faster evader is allowed to move freely without any constraint, the main issues are how to form an encirclement to trap the evader into the capture domain, how to balance between forming an encirclement and approaching the faster evader, and what conditions make the capture possible.

Systems and Control Systems and Control

Fully Dense Neural Network for the Automatic Modulation Recognition

no code implementations7 Dec 2019 Miao Du, Qin Yu, Shaomin Fei, Chen Wang, Xiao-Feng Gong, Ruisen Luo

Nowadays, we mainly use various convolution neural network (CNN) structures to extract features from radio data or spectrogram in AMR.

Automatic Modulation Recognition

Kernel learning for visual perception

1 code implementation6 Dec 2019 Chen Wang

To this end, the novel kernel learning methods for several basic visual perceptual tasks, including object tracking, localization, mapping, and image recognition, are proposed and demonstrated both theoretically and practically.

Human Activity Recognition Loop Closure Detection +8

Transferable Force-Torque Dynamics Model for Peg-in-hole Task

no code implementations30 Nov 2019 Junfeng Ding, Chen Wang, Cewu Lu

We present a learning-based force-torque dynamics to achieve model-based control for contact-rich peg-in-hole task using force-only inputs.

Model-based Reinforcement Learning Model Predictive Control

SAG-VAE: End-to-end Joint Inference of Data Representations and Feature Relations

no code implementations27 Nov 2019 Chen Wang, Chengyuan Deng, Vladimir Ivanov

Variational Autoencoders (VAEs) are powerful in data representation inference, but it cannot learn relations between features with its vanilla form and common variations.

Image Reconstruction Inductive Bias +1

Platoon trajectories generation: A unidirectional interconnected LSTM-based car following model

no code implementations25 Oct 2019 Yangxin Lin, Ping Wang, Yang Zhou, Fan Ding, Chen Wang, Huachun Tan

However, the traffic micro-simulation accuracy of car following models in a platoon level, especially during traffic oscillations, still needs to be enhanced.

Using GANs for Sharing Networked Time Series Data: Challenges, Initial Promise, and Open Questions

4 code implementations30 Sep 2019 Zinan Lin, Alankar Jain, Chen Wang, Giulia Fanti, Vyas Sekar

By shedding light on the promise and challenges, we hope our work can rekindle the conversation on workflows for data sharing.

Synthetic Data Generation Time Series +1

A Radio Signal Modulation Recognition Algorithm Based on Residual Networks and Attention Mechanisms

no code implementations27 Sep 2019 Ruisen Luo, Tao Hu, Zuodong Tang, Chen Wang, Xiaofeng Gong, Haiyan Tu

To solve the problem of inaccurate recognition of types of communication signal modulation, a RNN neural network recognition algorithm combining residual block network with attention mechanism is proposed.

Adaptive Ensemble of Classifiers with Regularization for Imbalanced Data Classification

no code implementations9 Aug 2019 Chen Wang, Chengyuan Deng, Zhoulu Yu, Dafeng Hui, Xiaofeng Gong, Ruisen Luo

In addition, the proposed method has other preferred properties such as special advantages in dealing with highly imbalanced data, and it pioneers the research on the regularization for dynamic ensemble methods.

Classification General Classification

Imbalance-XGBoost: Leveraging Weighted and Focal Losses for Binary Label-Imbalanced Classification with XGBoost

1 code implementation5 Aug 2019 Chen Wang, Chengyuan Deng, Suzhen Wang

The paper presents Imbalance-XGBoost, a Python package that combines the powerful XGBoost software with weighted and focal losses to tackle binary label-imbalanced classification tasks.

Binary Classification Classification +2

Spearphone: A Speech Privacy Exploit via Accelerometer-Sensed Reverberations from Smartphone Loudspeakers

1 code implementation12 Jul 2019 S Abhishek Anand, Chen Wang, Jian Liu, Nitesh Saxena, Yingying Chen

In this paper, we build a speech privacy attack that exploits speech reverberations generated from a smartphone's inbuilt loudspeaker captured via a zero-permission motion sensor (accelerometer).

Cryptography and Security

Multi-layer Attention Mechanism for Speech Keyword Recognition

no code implementations10 Jul 2019 Ruisen Luo, Tianran Sun, Chen Wang, Miao Du, Zuodong Tang, Kai Zhou, Xiao-Feng Gong, Xiaomei Yang

The key idea is that, in addition to the conventional attention mechanism, information of layers prior to feature extraction and LSTM are introduced into attention weights calculations.

Ranked #4 on Keyword Spotting on Google Speech Commands (Google Speech Commands V2 20 metric)

Keyword Spotting speech-recognition +1

Memetic EDA-Based Approaches to Comprehensive Quality-Aware Automated Semantic Web Service Composition

no code implementations19 Jun 2019 Chen Wang, Hui Ma, Gang Chen, Sven Hartmann

The objective of this problem is to find a solution with optimized or near-optimized overall QoS and QoSM within polynomial time over a service request.

Service Composition

Kervolutional Neural Networks

6 code implementations CVPR 2019 Chen Wang, Jianfei Yang, Lihua Xie, Junsong Yuan

Convolutional neural networks (CNNs) have enabled the state-of-the-art performance in many computer vision tasks.