AAAI 2024

2,864 papers

Ada-Retrieval: An Adaptive Multi-Round Retrieval Paradigm for Sequential Recommendations

Lei Li, Jianxun Lian, Xiao Zhou, Xing Xie

CoreRec: A Counterfactual Correlation Inference for Next Set Recommendation

Kexin Li, Chengjiang Long, Shengyu Zhang, Xudong Tang, Zhichao Zhai

MDFL: Multi-Domain Diffusion-Driven Feature Learning

Daixun Li, Weiying Xie, Jiaqing Zhang, Yunsong Li

Adaptive Hardness Negative Sampling for Collaborative Filtering

Riwei Lai, Rui Chen, Qilong Han, Chi Zhang, Li Chen

Knowledge-Aware Explainable Reciprocal Recommendation

Kai-Huang Lai, Zhe-Rui Yang, Pei-Yuan Lai, Chang-Dong Wang, Mohsen Guizani

Spatio-Temporal Pivotal Graph Neural Networks for Traffic Flow Forecasting

Weiyang Kong, Ziyu Guo, Yubao Liu

Learning Persistent Community Structures in Dynamic Networks via Topological Data Analysis

Dexu Kong, Anping Zhang, Yang Li

Optimal Quasi-clique: Hardness, Equivalence with Densest-k-Subgraph, and Quasi-partitioned Community Mining

Aritra Konar, Nicholas D. Sidiropoulos

VITA: ‘Carefully Chosen and Weighted Less’ Is Better in Medication Recommendation

Taeri Kim, Jiho Heo, Hongil Kim, Kijung Shin, Sang-Wook Kim

Few Shot Part Segmentation Reveals Compositional Logic for Industrial Anomaly Detection

Soopil Kim, Sion An, Philip Chikontwe, Myeongkyun Kang, Ehsan Adeli

Multi-Domain Recommendation to Attract Users via Domain Preference Modeling

Hyunjun Ju, SeongKu Kang, Dongha Lee, Junyoung Hwang, Sanghwan Jang

Enhancing Multi-Scale Diffusion Prediction via Sequential Hypergraphs and Adversarial Learning

Pengfei Jiao, Hongqian Chen, Qing Bao, Wang Zhang, Huaming Wu

Graph Invariant Learning with Subgraph Co-mixup for Out-of-Distribution Generalization

Tianrui Jia, Haoyang Li, Cheng Yang, Tao Tao, Chuan Shi

D3: A Methodological Exploration of Domain Division, Modeling, and Balance in Multi-Domain Recommendations

Pengyue Jia, Yichao Wang, Shanru Lin, Xiaopeng Li, Xiangyu Zhao

ReGCL: Rethinking Message Passing in Graph Contrastive Learning

Cheng Ji, Zixuan Huang, Qingyun Sun, Hao Peng, Xingcheng Fu

Learning Time Slot Preferences via Mobility Tree for Next POI Recommendation

Tianhao Huang, Xuan Pan, Xiangrui Cai, Ying Zhang, Xiaojie Yuan

AnomalyDiffusion: Few-Shot Anomaly Image Generation with Diffusion Model

Teng Hu, Jiangning Zhang, Ran Yi, Yuzhen Du, Xu Chen

Social-Aware Group Display Configuration in VR Conference

Bay-Yuan Hsu, Chih-Ya Shen, Hao Shan Yuan, Wang-Chien Lee, De-Nian Yang

DAG-Aware Variational Autoencoder for Social Propagation Graph Generation

Dongpeng Hou, Chao Gao, Xuelong Li, Zhen Wang

Label Attentive Distillation for GNN-Based Graph Classification

Xiaobin Hong, Wenzhong Li, Chaoqun Wang, Mingkai Lin, Sanglu Lu

ViSTec: Video Modeling for Sports Technique Recognition and Tactical Analysis

Yuchen He, Zeqing Yuan, Yihong Wu, Liqi Cheng, Dazhen Deng

ADA-GAD: Anomaly-Denoised Autoencoders for Graph Anomaly Detection

Junwei He, Qianqian Xu, Yangbangyan Jiang, Zitai Wang, Qingming Huang

A Diffusion-Based Framework for Multi-Class Anomaly Detection

Haoyang He, Jiangning Zhang, Hongxu Chen, Xuhai Chen, Zhishan Li

Intra- and Inter-group Optimal Transport for User-Oriented Fairness in Recommender Systems

Zhongxuan Han, Chaochao Chen, Xiaolin Zheng, Meng Li, Weiming Liu

LGMRec: Local and Global Graph Learning for Multimodal Recommendation

Zhiqiang Guo, Jianjun Li, Guohui Li, Chaoyang Wang, Si Shi

Rethinking Reverse Distillation for Multi-Modal Anomaly Detection

Zhihao Gu, Jiangning Zhang, Liang Liu, Xu Chen, Jinlong Peng

Efficient Representation Learning of Satellite Image Time Series and Their Fusion for Spatiotemporal Applications

Poonam Goyal, Arshveer Kaur, Arvind Ram, Navneet Goyal

Your Career Path Matters in Person-Job Fit

Zhuocheng Gong, Yang Song, Tao Zhang, Ji-Rong Wen, Dongyan Zhao

Zero-1-to-3: Domain-Level Zero-Shot Cognitive Diagnosis via One Batch of Early-Bird Students towards Three Diagnostic Objectives

Weibo Gao, Qi Liu, Hao Wang, Linan Yue, Haoyang Bi

Knowledge-Enhanced Historical Document Segmentation and Recognition

En-Hao Gao, Yu-Xuan Huang, Wen-Chao Hu, Xin-Hao Zhu, Wang-Zhou Dai

Dense Projection for Anomaly Detection

Dazhi Fu, Zhao Zhang, Jicong Fan

StockMixer: A Simple Yet Strong MLP-Based Architecture for Stock Price Forecasting

Jinyong Fan, Yanyan Shen

Progressive Distillation Based on Masked Generation Feature Method for Knowledge Graph Completion

Cunhang Fan, yujie Chen, Jun Xue, Yonghui Kong, Jianhua Tao

Structural Entropy Based Graph Structure Learning for Node Classification

Liang Duan, Xiang Chen, Wenjie Liu, Daliang Liu, Kun Yue

Enhancing Job Recommendation through LLM-Based Generative Adversarial Networks

Yingpeng Du, Di Luo, Rui Yan, Xiaopei Wang, Hongzhi Liu

Unveiling Implicit Deceptive Patterns in Multi-Modal Fake News via Neuro-Symbolic Reasoning

Yiqi Dong, Dongxiao He, Xiaobao Wang, Youzhu Jin, Meng Ge

Discovering Sequential Patterns with Predictable Inter-event Delays

Joscha Cüppers, Paul Krieger, Jilles Vreeken

Modeling Knowledge Graphs with Composite Reasoning

Wanyun Cui, Linqiu Zhang

Effective Comparative Prototype Hashing for Unsupervised Domain Adaptation

Hui Cui, Lihai Zhao, Fengling Li, LEI ZHU, Xiaohui Han

Learning to Reweight for Generalizable Graph Neural Network

Zhengyu Chen, Teng Xiao, Kun Kuang, Zheqi Lv, Min Zhang

KGTS: Contrastive Trajectory Similarity Learning over Prompt Knowledge Graph Embedding

Zhen Chen, Dalin Zhang, Shanshan Feng, Kaixuan Chen, Lisi Chen

Deep Structural Knowledge Exploitation and Synergy for Estimating Node Importance Value on Heterogeneous Information Networks

yankai Chen, Yixiang Fang, Qiongyan Wang, Xin Cao, Irwin King

Signed Graph Neural Ordinary Differential Equation for Modeling Continuous-Time Dynamics

Lanlan Chen, Kai WU, Jian Lou, Jing Liu

Sparse Enhanced Network: An Adversarial Generation Method for Robust Augmentation in Sequential Recommendation

Junyang Chen, Guoxuan Zou, Pan Zhou, Wu Yirui, Zhenghan Chen

Uncertainty-Aware Yield Prediction with Multimodal Molecular Features

Jiayuan Chen, kehan Guo, Zhen Liu, Olexandr Isayev, Xiangliang Zhang

Distributional Off-Policy Evaluation for Slate Recommendations

Shreyas Chaudhari, David Arbour, Georgios Theocharous, Nikos Vlassis

Hierarchical and Incremental Structural Entropy Minimization for Unsupervised Social Event Detection

Yuwei Cao, Hao Peng, Zhengtao Yu, Philip S. Yu

RR-PU: A Synergistic Two-Stage Positive and Unlabeled Learning Framework for Robust Tax Evasion Detection

Shuzhi Cao, Jianfei Ruan, Bo Dong, Bin Shi, Qinghua Zheng

Make Lossy Compression Meaningful for Low-Light Images

Shilv Cai, Liqun Chen, Sheng Zhong, Luxin Yan, Jiahuan Zhou

Multimodal Graph Neural Architecture Search under Distribution Shifts

Jie Cai, Xin Wang, Haoyang Li, Ziwei Zhang, Wenwu Zhu

Large-Scale Non-convex Stochastic Constrained Distributionally Robust Optimization

Qi Zhang, Yi Zhou, Ashley Prater-Bennette, Lixin Shen, Shaofeng Zou

A Reinforcement-Learning-Based Multiple-Column Selection Strategy for Column Generation

Haofeng Yuan, Lichang Fang, Shiji Song

Engineering an Exact Pseudo-Boolean Model Counter

Suwei Yang, Kuldeep S. Meel

SAT-Based Tree Decomposition with Iterative Cascading Policy Selection

Hai Xia, Stefan Szeider

What Are the Rules? Discovering Constraints from Data

Boris Wiegand, Dietrich Klakow, Jilles Vreeken

Encoding Constraints as Binary Constraint Networks Satisfying BTP

Ruiwei Wang

GSO-Net: Grid Surface Optimization via Learning Geometric Constraints

Chaoyun Wang, Jingmin Xin, Nanning Zheng, Caigui Jiang

Learning to Learn in Interactive Constraint Acquisition

Dimosthenis Tsouros, Senne Berden, Tias Guns

CEGAR-Based Approach for Solving Combinatorial Optimization Modulo Quantified Linear Arithmetics Problems

Kerian Thuillier, Anne Siegel, Loïc Paulevé

SAT-Based Algorithms for Regular Graph Pattern Matching

Miguel Terra-Neves, José Amaral, Alexandre Lemos, Rui Quintino, Pedro Resende

Disjoint Partial Enumeration without Blocking Clauses

Giuseppe Spallitta, Roberto Sebastiani, Armin Biere

Optimizing ADMM and Over-Relaxed ADMM Parameters for Linear Quadratic Problems

Jintao Song, Wenqi Lu, Yunwen Lei, Yuchao Tang, Zhenkuan Pan

An Approximate Skolem Function Counter

Arijit Shaw, Brendan Juba, Kuldeep S. Meel

An Eager Satisfiability Modulo Theories Solver for Algebraic Datatypes

Amar Shah, Federico Mora, Sanjit A. Seshia

On Partial Optimal Transport: Revising the Infeasibility of Sinkhorn and Efficient Gradient Methods

Anh Duc Nguyen, Tuan Dung Nguyen, Quang Minh Nguyen, Hoang H. Nguyen, Lam M. Nguyen

Using Clustering to Strengthen Decision Diagram Bounds for Discrete Optimization

Mohsen Nafar, Michael Römer

Learning to Pivot as a Smart Expert

Tianhao Liu, Shanwen Pu, DongDong Ge, Yinyu Ye

Automatic Core-Guided Reformulation via Constraint Explanation and Condition Learning

Kevin Leo, Grame Gange, Maria Garcia de la Banda, Mark Wallace

Theoretical and Empirical Analysis of Cost-Function Merging for Implicit Hitting Set WCSP Solving

Javier Larrosa, Conrado Martínez, Emma Rollon

SAT-Based Techniques for Lexicographically Smallest Finite Models

Mikoláš Janota, Choiwah Chow, João Araújo, Michael Codish, Petr Vojtěchovský

End-to-End Verification for Subgraph Solving

Stephan Gocht, Ciaran McCreesh, Magnus O. Myreen, Jakob Nordström, Andy Oertel

Composing Biases by Using CP to Decompose Minimal Functional Dependencies for Acquiring Complex Formulae

Ramiz Gindullin, Nicolas Beldiceanu, Jovial Cheukam-Ngouonou, Rémi Douence, Claude-Guy Quimper

Approximate Integer Solution Counts over Linear Arithmetic Constraints

Cunjing Ge

Locally Rainbow Paths

Till Fluschnik, Leon Kellerhals, Malte Renken

Parallel Empirical Evaluations: Resilience despite Concurrency

Johannes K. Fichte, Tobias Geibinger, Markus Hecher, Matthias Schlögel

Unifying Decision and Function Queries in Stochastic Boolean Satisfiability

Yu-Wei Fan, Jie-Hong R. Jiang

Percentile Risk-Constrained Budget Pacing for Guaranteed Display Advertising in Online Optimization

Liang Dai, Kejie Lyu, Chengcheng Zhang, Guangming Zhao, Zhonglin Zu

Hardness of Random Reordered Encodings of Parity for Resolution and CDCL

Leroy Chew, Alexis de Colnet, Friedrich Slivovsky, Stefan Szeider

Robust Beamforming for Downlink Multi-Cell Systems: A Bilevel Optimization Perspective

Xingdi Chen, Yu Xiong, Kai Yang

Using Symmetries to Lift Satisfiability Checking

Pierre Carbonnelle, Gottfried Schenner, Maurice Bruynooghe, Bart Bogaerts, Marc Denecker

Testing Self-Reducible Samplers

Rishiraj Bhattacharyya, Sourav Chakraborty, Yash Pote, Uddalok Sarkar, Sayantan Sen

Runtime vs. Extracted Proof Size: An Exponential Gap for CDCL on QBFs

Olaf Beyersdorff, Benjamin Böhm, Meena Mahajan

Neural Time-Reversed Generalized Riccati Equation

Alessandro Betti, Michele Casoni, Marco Gori, Simone Marullo, Stefano Melacci

Approximation Scheme for Weighted Metric Clustering via Sherali-Adams

Dmitrii Avdiukhin, Vaggos Chatziafratis, Konstantin Makarychev, Grigory Yaroslavtsev

Parameterization of (Partial) Maximum Satisfiability above Matching in a Variable-Clause Graph

Vasily Alferov, Ivan Bliznets, Kirill Brilliantov

CEDFlow: Latent Contour Enhancement for Dark Optical Flow Estimation

Fengyuan Zuo, Zhaolin Xiao, Haiyan Jin, Haonan Su

Sparse3D: Distilling Multiview-Consistent Diffusion for Object Reconstruction from Sparse Views

Zixin Zou, Weihao Cheng, Yan-Pei Cao, Shi-Sheng Huang, Ying Shan

Improved MLP Point Cloud Processing with High-Dimensional Positional Encoding

Yanmei Zou, Hongshan Yu, Zhengeng Yang, Zechuan Li, Naveed Akhtar

Enhancing Neural Radiance Fields with Adaptive Multi-Exposure Fusion: A Bilevel Optimization Approach for Novel View Synthesis

Yang Zou, Xingyuan Li, Zhiying Jiang, Jinyuan Liu

VQCNIR: Clearer Night Image Restoration with Vector-Quantized Codebook

Wenbin Zou, Hongxia Gao, Tian Ye, Liang Chen, Weipeng Yang

Towards Efficient Diffusion-Based Image Editing with Instant Attention Masks

Siyu Zou, Jiji Tang, Yiyi Zhou, Jing He, Chaoyi Zhao

Cross-Covariate Gait Recognition: A Benchmark

Shinan Zou, Chao Fan, Jianbo Xiong, Chuanfu Shen, Shiqi Yu

DiffBEV: Conditional Diffusion Model for Bird’s Eye View Perception

Jiayu Zou, Kun Tian, Zheng Zhu, Yun Ye, Xingang Wang

IPRemover: A Generative Model Inversion Attack against Deep Neural Network Fingerprinting and Watermarking

Wei Zong, Yang-Wai Chow, Willy Susilo, Joonsang Baek, Jongkil Kim

A Pre-convolved Representation for Plug-and-Play Neural Illumination Fields

Yiyu Zhuang, Qi Zhang, Xuan Wang, Hao Zhu, Ying Feng

SEIT: Structural Enhancement for Unsupervised Image Translation in Frequency Domain

Zhifeng Zhu, Yaochen Li, Yifan Li, Jinhuo Yang, Peijun Chen

SPGroup3D: Superpoint Grouping Network for Indoor 3D Object Detection

Yun Zhu, Le Hui, Yaqi Shen, Jin Xie

Memory-Efficient Prompt Tuning for Incremental Histopathology Classification

Yu Zhu, Kang Li, Lequan Yu, Pheng Ann Heng

Boosting Few-Shot Learning via Attentive Feature Regularization

Xingyu Zhu, Shuo Wang, Jinda Lu, Yanbin Hao, Haifeng Liu

Rethinking Mesh Watermark: Towards Highly Robust and Adaptable Deep 3D Mesh Watermarking

Xingyu Zhu, Guanhui Ye, Xiapu Luo, Xuetao Wei