AAAI 2024

2,864 papers

Multi-Constellation-Inspired Single-Shot Global LiDAR Localization

Tongzhou Zhang, Gang Wang, Yu Chen, Hai Zhang, Jue Hu

Learning from Ambiguous Demonstrations with Self-Explanation Guided Reinforcement Learning

Yantian Zha, Lin Guan, Subbarao Kambhampati

Angle Robustness Unmanned Aerial Vehicle Navigation in GNSS-Denied Scenarios

Yuxin Wang, Zunlei Feng, Haofei Zhang, Yang Gao, Jie Lei

DistilVPR: Cross-Modal Knowledge Distillation for Visual Place Recognition

Sijie Wang, Rui She, Qiyu Kang, Xingchao Jian, KAI ZHAO

MorphVAE: Advancing Morphological Design of Voxel-Based Soft Robots with Variational Autoencoders

Junru Song, Yang Yang, Wei Peng, Weien Zhou, Feifei Wang

Hierarchical Planning and Learning for Robots in Stochastic Settings Using Zero-Shot Option Invention

Naman Shah, Siddharth Srivastava

Task Planning for Object Rearrangement in Multi-Room Environments

Karan Mirakhor, Sourav Ghosh, Dipanjan Das, Brojeshwar Bhowmick

Deep Homography Estimation for Visual Place Recognition

Feng Lu, Shuting Dong, Lijun Zhang, Bingxi Liu, Xiangyuan Lan

BAT: Behavior-Aware Human-Like Trajectory Prediction for Autonomous Driving

Haicheng Liao, Zhenning Li, Huanming Shen, Wenxuan Zeng, Dongping Liao

CTO-SLAM: Contour Tracking for Object-Level Robust 4D SLAM

Xiaohan Li, Dong Liu, Jun Wu

LINGO-Space: Language-Conditioned Incremental Grounding for Space

Dohyun Kim, Nayoung Oh, Deokmin Hwang, Daehyung Park

DexFuncGrasp: A Robotic Dexterous Functional Grasp Dataset Constructed from a Cost-Effective Real-Simulation Annotation System

Jinglue Hang, Xiangbo Lin, Tianqiang Zhu, Xuanheng Li, Rina Wu

Interactive Visual Task Learning for Robots

Weiwei Gu, Anant Sah, Nakul Gopalan

On Computing Makespan-Optimal Solutions for Generalized Sliding-Tile Puzzles

Marcus Gozon, Jingjin Yu

Optimal Makespan in a Minute Timespan! A Scalable Multi-Robot Goal Assignment Algorithm for Minimizing Mission Time

Aakash, Indranil Saha

An Efficient Subgraph-Inferring Framework for Large-Scale Heterogeneous Graphs

Wei Zhou, Hong Huang, Ruize Shi, Kehan Yin, Hai Jin

Explainable Origin-Destination Crowd Flow Interpolation via Variational Multi-Modal Recurrent Graph Auto-Encoder

Qiang Zhou, Xinjiang Lu, Jingjing Gu, Zhe Zheng, Bo Jin

GMP-AR: Granularity Message Passing and Adaptive Reconciliation for Temporal Hierarchy Forecasting

Fan Zhou, Chen Pan, Lintao Ma, Yu Liu, Siqiao Xue

FacetCRS: Multi-Faceted Preference Learning for Pricking Filter Bubbles in Conversational Recommender System

Yongsen Zheng, Ziliang Chen, Jinghui Qin, Liang Lin

Spatial-Temporal Interplay in Human Mobility: A Hierarchical Reinforcement Learning Approach with Hypergraph Representation

Zhaofan Zhang, Yanan Xiao, Lu Jiang, Dingqi Yang, Minghao Yin

Multi-Domain Deep Learning from a Multi-View Perspective for Cross-Border E-commerce Search

Yiqian Zhang, Yinfu Feng, Wen-Ji Zhou, Yunan Ye, Min Tan

Another Way to the Top: Exploit Contextual Clustering in Learned Image Coding

Yichi Zhang, Zhihao Duan, Ming Lu, Dandan Ding, Fengqing Zhu

Influential Exemplar Replay for Incremental Learning in Recommender Systems

Xinni Zhang, yankai Chen, Chenhao Ma, Yixiang Fang, Irwin King

Temporal Graph Contrastive Learning for Sequential Recommendation

Shengzhe Zhang, Liyi Chen, Chao Wang, Shuangli Li, Hui Xiong

ROG_PL: Robust Open-Set Graph Learning via Region-Based Prototype Learning

Qin Zhang, Xiaowei Li, Jiexin Lu, Liping Qiu, Shirui Pan

CAMEL: Capturing Metaphorical Alignment with Context Disentangling for Multimodal Emotion Recognition

Linhao Zhang, Li Jin, Guangluan Xu, Xiaoyu Li, Cai Xu

Dual-View Whitening on Pre-trained Text Embeddings for Sequential Recommendation

Lingzi Zhang, Xin Zhou, Zhiwei Zeng, Zhiqi Shen

DiG-In-GNN: Discriminative Feature Guided GNN-Based Fraud Detector against Inconsistencies in Multi-Relation Fraud Graph

Jinghui Zhang, Zhengjia Xu, Dingyang Lv, Zhan Shi, Dian Shen

M3D: Dataset Condensation by Minimizing Maximum Mean Discrepancy

Hansong Zhang, Shikun Li, Pengju Wang, Dan Zeng, Shiming Ge

UNEX-RL: Reinforcing Long-Term Rewards in Multi-Stage Recommender Systems with UNidirectional EXecution

Gengrui Zhang, Yao Wang, Xiaoshuang Chen, Hongyi Qian, Kaiqiao Zhan

RRL: Recommendation Reverse Learning

Xiaoyu You, Jianwei Xu, Mi Zhang, Zechen Gao, Min Yang

WaveNet: Tackling Non-stationary Graph Signals via Graph Spectral Wavelets

Zhirui Yang, Yulan Hu, Sheng Ouyang, Jingyu Liu, Shuqiang Wang

Parallel Ranking of Ads and Creatives in Real-Time Advertising Systems

Zhiguang Yang, Liufang Sang, Haoran Wang, Wenlong Chen, Lu Wang

TriSampler: A Better Negative Sampling Principle for Dense Retrieval

Zhen Yang, Zhou Shao, Yuxiao Dong, Jie Tang

Graph Neural Networks with Soft Association between Topology and Attribute

Yachao Yang, Yanfeng Sun, Shaofan Wang, Jipeng Guo, Junbin Gao

Fine-Tuning Large Language Model Based Explainable Recommendation with Explainable Quality Reward

Mengyuan Yang, Mengying Zhu, Yan Wang, Linxun Chen, Yilei Zhao

FairSIN: Achieving Fairness in Graph Neural Networks through Sensitive Information Neutralization

Cheng Yang, Jixi Liu, Yunhe Yan, Chuan Shi

Hypergraph Joint Representation Learning for Hypervertices and Hyperedges via Cross Expansion

Yuguang Yan, Yuanlin Chen, Shibo Wang, Hanrui Wu, Ruichu Cai

Empowering Dual-Level Graph Self-Supervised Pretraining with Motif Discovery

Pengwei Yan, Kaisong Song, Zhuoren Jiang, Yangyang Kang, Tianqianjin Lin

Revisiting Graph-Based Fraud Detection in Sight of Heterophily and Spectrum

Fan Xu, Nan Wang, Hao Wu, Xuezhi Wen, Xibin Zhao

NestE: Modeling Nested Relational Structures for Knowledge Graph Reasoning

Bo Xiong, Mojtaba Nayyeri, Linhao Luo, Zihao Wang, Shirui Pan

Feature Distribution Matching by Optimal Transport for Effective and Robust Coreset Selection

Weiwei Xiao, Yongyong Chen, Qiben Shan, Yaowei Wang, Jingyong Su

CI-STHPAN: Pre-trained Attention Network for Stock Selection with Channel-Independent Spatio-Temporal Hypergraph

Hongjie Xia, Huijie Ao, Long Li, Yu Liu, Sen Liu

Exploring Large Language Model for Graph Data Understanding in Online Job Recommendations

Likang Wu, Zhaopeng Qiu, Zhi Zheng, Hengshu Zhu, Enhong Chen

Pairwise-Label-Based Deep Incremental Hashing with Simultaneous Code Expansion

Dayan Wu, Qinghang Su, Bo Li, Weiping Wang

Poincaré Differential Privacy for Hierarchy-Aware Graph Embedding

Yuecen Wei, Haonan Yuan, Xingcheng Fu, Qingyun Sun, Hao Peng

G^2SAM: Graph-Based Global Semantic Awareness Method for Multimodal Sarcasm Detection

Yiwei Wei, Shaozu Yuan, Hengyang Zhou, Longbiao Wang, Zhiling Yan

Open-Set Graph Domain Adaptation via Separate Domain Alignment

Yu Wang, Ronghang Zhu, Pengsheng Ji, Sheng Li

Deciphering Compatibility Relationships with Textual Descriptions via Extraction and Explanation

Yu Wang, Zexue He, Zhankui He, Hao Xu, Julian McAuley

Preference Aware Dual Contrastive Learning for Item Cold-Start Recommendation

Wenbo Wang, Bingquan Liu, Lili Shan, Chengjie Sun, Ben Chen

Pseudo-Label Calibration Semi-supervised Multi-Modal Entity Alignment

Luyao Wang, Pengnian Qi, Xigang Bao, Chunlai Zhou, Biao Qin

Review-Enhanced Hierarchical Contrastive Learning for Recommendation

Ke Wang, Yanmin Zhu, Tianzi Zang, Chunyang Wang, Mengyuan Jing

EnMatch: Matchmaking for Better Player Engagement via Neural Combinatorial Optimization

Kai Wang, Haoyu Liu, ZHIPENG HU, Xiaochuan Feng, Minghao Zhao

Towards Dynamic Spatial-Temporal Graph Learning: A Decoupled Perspective

Binwu Wang, Pengkun Wang, Yudong Zhang, Xu Wang, Zhengyang Zhou

Contributing Dimension Structure of Deep Feature for Coreset Selection

Zhijing Wan, Zhixiang Wang, Yuran Wang, Zheng Wang, Hongyuan Zhu

End-to-End Learning of LTLf Formulae by Faithful LTLf Encoding

Hai Wan, Pingjia Liang, Jianfeng Du, Weilin Luo, Rongzhen Ye

Finding Interpretable Class-Specific Patterns through Efficient Neural Search

Nils Philipp Walter, Jonas Fischer, Jilles Vreeken

Fine-Tuning Graph Neural Networks by Preserving Graph Generative Patterns

Yifei Sun, Qi Zhu, Yang Yang, Chunping Wang, Tianyu Fan

Motif-Aware Riemannian Graph Neural Network with Generative-Contrastive Learning

Li Sun, Zhenhao Huang, Zixi Wang, Feiyang Wang, Hao Peng

ModWaveMLP: MLP-Based Mode Decomposition and Wavelet Denoising Model to Defeat Complex Structures in Traffic Forecasting

Ke Sun, Pei Liu, Pengfei Li, Zhifang Liao

CREAD: A Classification-Restoration Framework with Error Adaptive Discretization for Watch Time Prediction in Video Recommender Systems

Jie Sun, Zhaoying Ding, Xiaoshuang Chen, Qi Chen, Yincheng Wang

MAPTree: Beating “Optimal” Decision Trees with Bayesian Decision Trees

Colin Sullivan, Mo Tiwari, Sebastian Thrun

Anchoring Path for Inductive Relation Prediction in Knowledge Graphs

Zhixiang Su, Di Wang, Chunyan Miao, Lizhen Cui

STEM: Unleashing the Power of Embeddings for Multi-Task Recommendation

Liangcai Su, Junwei Pan, Ximei Wang, Xi Xiao, Shijie Quan

A Diffusion-Based Pre-training Framework for Crystal Property Prediction

Zixing Song, Ziqiao Meng, Irwin King

An Attentive Inductive Bias for Sequential Recommendation beyond the Self-Attention

Yehjin Shin, Jeongwhan Choi, Hyowon Wi, Noseong Park

ResDiff: Combining CNN and Diffusion Model for Image Super-resolution

Shuyao Shang, Zhengyang Shan, Guangxing Liu, LunQian Wang, XingHua Wang

Mixed Geometry Message and Trainable Convolutional Attention Network for Knowledge Graph Completion

Bin Shang, Yinliang Zhao, Jun Liu, Di Wang

LAFA: Multimodal Knowledge Graph Completion with Link Aware Fusion and Aggregation

Bin Shang, Yinliang Zhao, Jun Liu, Di Wang

Towards Diverse Perspective Learning with Selection over Multiple Temporal Poolings

Jihyeon Seong, Jungmin Kim, Jaesik Choi

Link Prediction in Multilayer Networks via Cross-Network Embedding

Guojing Ren, Xiao Ding, Xiao-Ke Xu, Hai-Feng Zhang

Refining Latent Homophilic Structures over Heterophilic Graphs for Robust Graph Convolution Networks

Chenyang Qiu, Guoshun Nan, Tianyu Xiong, Wendi Deng, Di Wang

Cross-Domain Contrastive Learning for Time Series Clustering

Furong Peng, Jiachen Luo, Xuan Lu, Sheng wang, Feijiang Li

HGE: Embedding Temporal Knowledge Graphs in a Product Space of Heterogeneous Geometric Subspaces

Jiaxin Pan, Mojtaba Nayyeri, Yinan Li, Steffen Staab

Graph Contrastive Invariant Learning from the Causal Perspective

Yanhu Mo, Xiao Wang, Shaohua Fan, Chuan Shi

Tail-STEAK: Improve Friend Recommendation for Tail Users via Self-Training Enhanced Knowledge Distillation

Yijun Ma, Chaozhuo Li, Xiao Zhou

Plug-In Diffusion Model for Sequential Recommendation

Haokai Ma, Ruobing Xie, Lei Meng, Xin Chen, Xu Zhang

Enhancing Cognitive Diagnosis Using Un-interacted Exercises: A Collaboration-Aware Mixed Sampling Approach

Haiping Ma, Changqian Wang, Hengshu Zhu, Shangshang Yang, Xiaoming Zhang

Spectral-Based Graph Neural Networks for Complementary Item Recommendation

Haitong Luo, Xuying Meng, Suhang Wang, Hanyun Cao, Weiyao Zhang

Deep Hierarchical Video Compression

Ming Lu, Zhihao Duan, Fengqing Zhu, Zhan Ma

KGDM: A Diffusion Model to Capture Multiple Relation Semantics for Knowledge Graph Embedding

Xiao Long, Liansheng Zhuang, Aodi Li, Jiuchang Wei, Houqiang Li

Full Bayesian Significance Testing for Neural Networks

Zehua Liu, Zimeng Li, Jingyuan Wang, Yue He

Perturbation-Invariant Adversarial Training for Neural Ranking Models: Improving the Effectiveness-Robustness Trade-Off

Yu-An Liu, Ruqing Zhang, Mingkun Zhang, Wei Chen, Maarten de Rijke

Knowledge Graph Error Detection with Contrastive Confidence Adaption

Xiangyu Liu, Yang Liu, Wei Hu

Learning Accurate and Bidirectional Transformation via Dynamic Embedding Transportation for Cross-Domain Recommendation

Weiming Liu, Chaochao Chen, Xinting Liao, Mengling Hu, Yanchao Tan

KG-TREAT: Pre-training for Treatment Effect Estimation by Synergizing Patient Data with Knowledge Graphs

Ruoqi Liu, Lingfei Wu, Ping Zhang

Online Conversion Rate Prediction via Multi-Interval Screening and Synthesizing under Delayed Feedback

Qiming Liu, Xiang Ao, Yuyao Guo, Qing He

AT4CTR: Auxiliary Match Tasks for Enhancing Click-Through Rate Prediction

Qi Liu, Xuyang Hou, Defu Lian, Zhe Wang, Haoran Jin

Multimodal Event Causality Reasoning with Scene Graph Enhanced Interaction Network

Jintao Liu, Kaiwen Wei, Chenglong Liu

Graph Disentangled Contrastive Learning with Personalized Transfer for Cross-Domain Recommendation

Jing Liu, Lele Sun, Weizhi Nie, Peiguang Jing, Yuting Su

Towards Continual Knowledge Graph Embedding via Incremental Distillation

Jiajun Liu, Wenjun Ke, Peng Wang, Ziyu Shang, Jinhua Gao

Temporally and Distributionally Robust Optimization for Cold-Start Recommendation

Xinyu Lin, Wenjie Wang, Jujia Zhao, Yongqi Li, Fuli Feng

A Comprehensive Augmentation Framework for Anomaly Detection

Jiang Lin, Yaping Yan

Hawkes-Enhanced Spatial-Temporal Hypergraph Contrastive Learning Based on Criminal Correlations

Ke Liang, sihang zhou, Meng Liu, Yue Liu, Wenxuan Tu

Urban Region Embedding via Multi-View Contrastive Prediction

Zechen Li, Weiming Huang, KAI ZHAO, Min Yang, Yongshun Gong

Learning to Rank in Generative Retrieval

Yongqi Li, Nan Yang, Liang Wang, Furu Wei, Wenjie Li

A Generalized Neural Diffusion Framework on Graphs

Yibo Li, Xiao Wang, Hongrui Liu, Chuan Shi

MESED: A Multi-Modal Entity Set Expansion Dataset with Fine-Grained Semantic Classes and Hard Negative Entities

Yangning Li, Tingwei Lu, Hai-Tao Zheng, Yinghui Li, Shulin Huang

UniGen: A Unified Generative Framework for Retrieval and Question Answering with Large Language Models

Xiaoxi Li, Yujia Zhou, Zhicheng Dou

CONSIDER: Commonalities and Specialties Driven Multilingual Code Retrieval Framework

Rui Li, Liyang He, Qi Liu, Yuze Zhao, Zheng Zhang