IJCAI 2024

1,048 papers

Towards Robust Trajectory Representations: Isolating Environmental Confounders with Causal Learning

Kang Luo, Yuanshao Zhu, Wei Chen, Kun Wang, Zhengyang Zhou

Heterogeneous Graph Transformer with Poly-Tokenization

Zhiyuan Lu, Yuan Fang, Cheng Yang, Chuan Shi

Graph Contrastive Learning with Reinforcement Augmentation

Ziyang Liu, Chaokun Wang, Cheng Wu

Full Bayesian Significance Testing for Neural Networks in Traffic Forecasting

Zehua Liu, Jingyuan Wang, Zimeng Li, Yue He

KDDC: Knowledge-Driven Disentangled Causal Metric Learning for Pre-Travel Out-of-Town Recommendation

Yinghui Liu, Guojiang Shen, Chengyong Cui, Zhenzhen Zhao, Xiao Han

Fast and Continual Knowledge Graph Embedding via Incremental LoRA

Jiajun Liu, Wenjun Ke, Peng Wang, Jiahao Wang, Jinhua Gao

Encoding Auxiliary Information to Restore Compressed Point Cloud Geometry

Gexin Liu, Jiahao Zhu, Dandan Ding, Zhan Ma

Where to Mask: Structure-Guided Masking for Graph Masked Autoencoders

Chuang Liu, Yuyao Wang, Yibing Zhan, Xueqi Ma, Dapeng Tao

Gradformer: Graph Transformer with Exponential Decay

Chuang Liu, Zelin Yao, Yibing Zhan, Xueqi Ma, Shirui Pan

Large Language Model Guided Knowledge Distillation for Time Series Anomaly Detection

Chen Liu, Shibo He, Qihang Zhou, Shizhong Li, Wenchao Meng

Enhancing Dual-Target Cross-Domain Recommendation with Federated Privacy-Preserving Learning

Zhenghong Lin, Wei Huang, Hengyu Zhang, Jiayu Xu, Weiming Liu

Rethinking the Effectiveness of Graph Classification Datasets in Benchmarks for Assessing GNNs

Zhengdao Li, Yong Cao, Kefan Shuai, Yiming Miao, Kai Hwang

LLM-based Multi-Level Knowledge Generation for Few-shot Knowledge Graph Completion

Qian Li, Zhuo Chen, Cheng Ji, Shiqi Jiang, Jianxin Li

Contrastive Learning Drug Response Models from Natural Language Supervision

Kun Li, Xiuwen Gong, Jia Wu, Wenbin Hu

Zero-shot Learning for Preclinical Drug Screening

Kun Li, Weiwei Liu, Yong Luo, Xiantao Cai, Jia Wu

PHSIC against Random Consistency and Its Application in Causal Inference

Jue Li, Yuhua Qian, Jieting Wang, Saixiong Liu

Hierarchical Reinforcement Learning on Multi-Channel Hypergraph Neural Network for Course Recommendation

Lu Jiang, Yanan Xiao, Xinxin Zhao, Yuanbo Xu, Shuli Hu

Learning Hierarchy-Enhanced POI Category Representations Using Disentangled Mobility Sequences

Hongwei Jia, Meng Chen, Weiming Huang, KAI ZHAO, Yongshun Gong

Multiplex Graph Representation Learning via Bi-level Optimization

Yudi Huang, Yujie Mo, Yujing Liu, Ci Nie, Guoqiu Wen

Exploring the Role of Node Diversity in Directed Graph Representation Learning

Jincheng Huang, Yujie Mo, Ping Hu, Xiaoshuang Shi, Shangbo Yuan

Reconstructing Missing Variables for Multivariate Time Series Forecasting via Conditional Generative Flows

Xuanming Hu, Wei Fan, Haifeng Chen, Pengyang Wang, Yanjie Fu

SVD-AE: Simple Autoencoders for Collaborative Filtering

Seoyoung Hong, Jeongwhan Choi, Yeon-Chang Lee, Srijan Kumar, Noseong Park

Class-Specific Semantic Generation and Reconstruction Learning for Open Set Recognition

Liu Haoyang, Yaojin Lin, Peipei Li, Jun Hu, Xuegang Hu

Real-World Networks Are Low-Dimensional: Theoretical and Practical Assessment

Tobias Friedrich, Andreas Göbel, Maximilian Katzmann, Leon Schiller

DGR: A General Graph Desmoothing Framework for Recommendation via Global and Local Perspectives

Leilei Ding, Dazhong Shen, Chao Wang, Tianfu Wang, Le Zhang

Multi-Modality Spatio-Temporal Forecasting via Self-Supervised Learning

Jiewen Deng, Renhe Jiang, Jiaqi Zhang, Xuan Song

Pre-DyGAE: Pre-training Enhanced Dynamic Graph Autoencoder for Occupational Skill Demand Forecasting

Xi Chen, Chuan Qin, Zhigaoyuan Wang, Yihang Cheng, Chao Wang

Automatic De-Biased Temporal-Relational Modeling for Stock Investment Recommendation

Weijun Chen, Shun Li, Xipu Yu, Heyuan Wang, Wei Chen

Rethinking the Soft Conflict Pseudo Boolean Constraint on MaxSAT Local Search Solvers

Jiongzhi Zheng, Zhuo Chen, Chu-Min Li, Kun He

A Multi-Valued Decision Diagram-Based Approach to Constrained Optimal Path Problems over Directed Acyclic Graphs

Mingwei Zhang, Liangda Fang, Zhenhao Gu, Quanlong Guan, Yong Lai

A Neural Column Generation Approach to the Vehicle Routing Problem with Two-Dimensional Loading and Last-In-First-Out Constraints

Yifan Xia, Xiangyi Zhang

Improved Parallel Algorithm for Non-Monotone Submodular Maximization under Knapsack Constraint

Tan D. Tran, Canh V. Pham, Dung T. K. Ha, Phuong N. H. Pham

Convexity Certificates for Symbolic Tensor Expressions

Paul G. Rump, Niklas Merk, Julien Klaus, Maurice Wenig, Joachim Giesen

Enhancing Scalability of Metric Differential Privacy via Secret Dataset Partitioning and Benders Decomposition

Chenxi Qiu

A Fast Algorithm for MaxSAT above Half Number of Clauses

Junqiang Peng, Mingyu Xiao

Bridging the Gap between General and Down-Closed Convex Sets in Submodular Maximization

Loay Mualem, Murad Tukan, Moran Feldman

Using Large Language Models to Improve Query-based Constraint Acquisition

Younes Mechqrane, Christian Bessiere, Ismail Elabbassi

Layered and Staged Monte Carlo Tree Search for SMT Strategy Synthesis

Zhengyang Lu, Stefan Siemer, Piyush Jha, Joel Day, Florin Manea

A SAT Solver + Computer Algebra Attack on the Minimum Kochen–Specker Problem

Zhengyu Li, Curtis Bright, Vijay Ganesh

Solving Quantified Boolean Formulas with Few Existential Variables

Leif Eriksson, Victor Lagerkvist, Sebastian Ordyniak, George Osipov, Fahad Panolan

Optimal Extended Formulations from Optimal Dynamic Programming Algorithms

Mateus de Oliveira Oliveira, Wim Van Den Broeck

Efficient Cost-Minimization Schemes for Electrical Energy Demand Satisfaction by Prosumers in Microgrids with Battery Storage Capabilities

Laura Codazzi, Gergely Csáji, Matthias Mnich

Knowledge Compilation for Incremental and Checkable Stochastic Boolean Satisfiability

Che Cheng, Yun-Rong Luo, Jie-Hong R. Jiang

A Top-Down Tree Model Counter for Quantified Boolean Formulas

Florent Capelli, Jean-Marie Lagniez, Andreas Plank, Martina Seidl

Markov Constraint as Large Language Model Surrogate

Alexandre Bonlarron, Jean-Charles Régin

CLIP-FSAC: Boosting CLIP for Few-Shot Anomaly Classification with Synthetic Anomalies

Zuo Zuo, Yao Wu, Baoqiang Li, Jiahao Dong, You Zhou

SceneDiff: Generative Scene-Level Image Retrieval with Text and Sketch Using Diffusion Models

Ran Zuo, Haoxiang Hu, Xiaoming Deng, Cangjun Gao, Zhengming Zhang

ABM: Attention before Manipulation

Fan Zhuo, Ying He, Fei Yu, Pengteng Li, Zheyi Zhao

Class-consistent Contrastive Learning Driven Cross-dimensional Transformer for 3D Medical Image Classification

Qikui Zhu, Chuan Fu, Shuo Li

MISA: MIning Saliency-Aware Semantic Prior for Box Supervised Instance Segmentation

Hao Zhu, Yan Zhu, Jiayu Xiao, Yike Ma, Yucheng Zhang

Zero-shot High-fidelity and Pose-controllable Character Animation

Bingwen Zhu, Fanyi Wang, Tianyi Lu, Peng Liu, Jingwen Su

Zero-Shot Sketch Based Image Retrieval via Modality Capacity Guidance

Yanghong Zhou, Dawei Liu, P. Y. Mok

CoFInAl: Enhancing Action Quality Assessment with Coarse-to-Fine Instruction Alignment

Kanglei Zhou, Junlin Li, Ruizhi Cai, Liyuan Wang, Xingxing Zhang

Focus on the Whole Character: Discriminative Character Modeling for Scene Text Recognition

Bangbang Zhou, Yadong Qu, Zixiao Wang, Zicheng Li, Boqiang Zhang

Multi-Attention Based Visual-Semantic Interaction for Few-Shot Learning

Peng Zhao, Yin Wang, Wei Wang, Jie Mu, Huiting Liu

ChatSpot: Bootstrapping Multimodal LLMs via Precise Referring Instruction Tuning

Liang Zhao, En Yu, Zheng Ge, Jinrong Yang, Haoran Wei

GenSeg: On Generating Unified Adversary for Segmentation

Yuxuan Zhang, Zhenbo Shi, Wei Yang, Shuchang Wang, Shaowei Wang

Continual Compositional Zero-Shot Learning

Yang Zhang, Songhe Feng, Jiazheng Yuan

A Fourier Perspective of Feature Extraction and Adversarial Robustness

Liangqi Zhang, Yihao Luo, Haibo Shen, Tianjiang Wang

3DBench: A Scalable 3D Benchmark and Instruction-Tuning Dataset

Junjie Zhang, Tianci Hu, Xiaoshui Huang, Yongshun Gong, Dan Zeng

Sparse Multi-Relational Graph Convolutional Network for Multi-type Object Trajectory Prediction

Jianhui Zhang, Jun Yao, Liqi Yan, Yanhong Xu, Zheng Wang

Shap-Mix: Shapley Value Guided Mixing for Long-Tailed Skeleton Based Action Recognition

Jiahang Zhang, Lilang Lin, Jiaying Liu

DANCE: Dual-View Distribution Alignment for Dataset Condensation

Hansong Zhang, Shikun Li, Fanzhao Lin, Weiping Wang, Zhenxing Qian

Detector Collapse: Backdooring Object Detection to Catastrophic Overload or Blindness in the Physical World

Hangtao Zhang, Shengshan Hu, Yichen Wang, Leo Yu Zhang, Ziqi Zhou

AK4Prompts: Aesthetics-driven Automatically Keywords-Ranking for Prompts in Text-To-Image Models

Haiyang Zhang, Mengchao Wang, Shuai He, Anlong Ming

Diffusion Mask-Driven Visual-language Tracking

Guangtong Zhang, Bineng Zhong, Qihua Liang, Zhiyi Mo, Shuxiang Song

Towards Dynamic-Prompting Collaboration for Source-Free Domain Adaptation

Mengmeng Zhan, Zongqian Wu, Rongyao Hu, Ping Hu, Heng Tao Shen

MARS: Multimodal Active Robotic Sensing for Articulated Characterization

Hongliang Zeng, Ping Zhang, Chengjiong Wu, Jiahua Wang, Tingyu Ye

CIC: A Framework for Culturally-Aware Image Captioning

Youngsik Yun, Jihie Kim

Unified Unsupervised Salient Object Detection via Knowledge Transfer

Yao Yuan, Wutao Liu, Pan Gao, Qun Dai, Jie Qin

Hundredfold Accelerating for Pathological Images Diagnosis and Prognosis through Self-reform Critical Region Focusing

Xiaotian Yu, Haoming Luo, Jiacong Hu, Xiuming Zhang, Yuexuan Wang

Spear: Evaluate the Adversarial Robustness of Compressed Neural Models

Chong Yu, Tao Chen, Zhongxue Gan, Jiayuan Fan

1DFormer: A Transformer Architecture Learning 1D Landmark Representations for Facial Landmark Tracking

Shi Yin, Shijie Huang, Shangfei Wang, Jinshui Hu, Tao GUO

DiffStega: Towards Universal Training-Free Coverless Image Steganography with Diffusion Models

Yiwei Yang, Zheyuan Liu, Jun Jia, Zhongpai Gao, Yunhao Li

Fusion from a Distributional Perspective: A Unified Symbiotic Diffusion Framework for Any Multisource Remote Sensing Data Classification

Teng Yang, Song Xiao, Wenqian Dong, Jiahui Qu, Yueguang Yang

Self-Supervised Monocular Depth Estimation in the Dark: Towards Data Distribution Compensation

Haolin Yang, Chaoqiang Zhao, Lu Sheng, Yang Tang

3D Vision and Language Pretraining with Large-Scale Synthetic Data

Dejie Yang, Zhu Xu, Wentao Mo, Qingchao Chen, Siyuan Huang

Reschedule Diffusion-based Bokeh Rendering

Shiyue Yan, Xiaoshi Qiu, Qingmin Liao, Jing-Hao Xue, Shaojun Liu

DTS-TPT: Dual Temporal-Sync Test-time Prompt Tuning for Zero-shot Activity Recognition

Rui Yan, Hongyu Qu, Xiangbo Shu, Wenbin Li, Jinhui Tang

DFMDA-Net: Dense Fusion and Multi-dimension Aggregation Network for Image Restoration

Huibin Yan, Shuoyao Wang

ProtoPFormer: Concentrating on Prototypical Parts in Vision Transformers for Interpretable Image Recognition

Mengqi Xue, Qihan Huang, Haofei Zhang, Jingwen Hu, Jie Song

Learning Spatial Similarity Distribution for Few-shot Object Counting

Yuanwu Xu, Feifan Song, Haofeng Zhang

Negative Prompt Driven Complementary Parallel Representation for Open-World 3D Object Retrieval

Yang Xu, Yifan Feng, Yue Gao

Beyond Alignment: Blind Video Face Restoration via Parsing-Guided Temporal-Coherent Transformer

Kepeng Xu, Li Xu, Gang He, Wenxin Yu, Yunsong Li

Aggregation and Purification: Dual Enhancement Network for Point Cloud Few-shot Segmentation

Guoxin Xiong, Yuan Wang, Zhaoyang Li, Wenfei Yang, Tianzhu Zhang

Unified Single-Stage Transformer Network for Efficient RGB-T Tracking

Jianqiang Xia, Dianxi Shi, ke Song, Linna Song, Xiaolei Wang

KTCN: Enhancing Open-World Object Detection with Knowledge Transfer and Class-Awareness Neutralization

Xing Xi, Yangyang Huang, Jinhao Lin, Ronghua Luo

ELF-UA: Efficient Label-Free User Adaptation in Gaze Estimation

Yong Wu, Yang Wang, Sanqing Qu, Zhijun Li, Guang Chen

OD-DETR: Online Distillation for Stabilizing Training of Detection Transformer

Shengjian Wu, Li Sun, Qingli Li

PointTFA: Training-Free Clustering Adaption for Large 3D Point Cloud Models

Jinmeng Wu, Chong Cao, Hao Zhang, Basura Fernando, Yanbin Hao

Structure-Aware Spatial-Temporal Interaction Network for Video Shadow Detection

Housheng Wei, Guanyu Xing, Jingwei Liao, Yanci Zhang, Yanli Liu

Boosting Diffusion Models with an Adaptive Momentum Sampler

Xiyu Wang, Anh-Dung Dinh, Daochang Liu, Chang Xu

Optimal Graph Learning and Nuclear Norm Maximization for Deep Cross-Domain Robust Label Propagation

Wei Wang, Hanyang Li, Ke Shi, Chao Huang, Yang Cao

Label-efficient Semantic Scene Completion with Scribble Annotations

Song Wang, Jiawei Yu, Wentong Li, Hao Shi, Kailun Yang

How to Learn Domain-Invariant Representations for Visual Reinforcement Learning: An Information-Theoretical Perspective

Shuo Wang, zhihao wu, Jinwen Wang, Xiaobo Hu, Youfang Lin

Error-aware Sampling in Adaptive Shells for Neural Surface Reconstruction

Qi Wang, Yuchi Huo, Qi Ye, Rui Wang, Hujun Bao

Explore Internal and External Similarity for Single Image Deraining with Graph Neural Networks

Cong Wang, Wei Wang, Chengjin Yu, Jie Mu

FLDM-VTON: Faithful Latent Diffusion Model for Virtual Try-on

Chenhui Wang, Tao Chen, Zhihao Chen, Zhizhong Huang, Taoran Jiang

OSIC: A New One-Stage Image Captioner Coined

Bo Wang, Zhao Zhang, Mingbo Zhao, Xiaojie Jin, Mingliang Xu

Image Retrieval with Self-Supervised Divergence Minimization and Cross-Attention Classification

Vivek Trivedy, Longin Jan Latecki