IJCAI 2023

851 papers

Reinforcement Learning Approaches for Traffic Signal Control under Missing Data

Hao Mei, Junxian Li, Bin Shi, Hua Wei

Uncovering the Largest Community in Social Networks at Scale

Shohei Matsugu, Yasuhiro Fujiwara, Hiroaki Shiokawa

Capturing the Long-Distance Dependency in the Control Flow Graph via Structural-Guided Attention for Bug Localization

Yi-Fan Ma, Yali Du, Ming Li

Dynamic Group Link Prediction in Continuous-Time Interaction Network

Shijie Luo, He Li, Jianbin Huang

Continuous-Time Graph Learning for Cascade Popularity Prediction

Xiaodong Lu, Shuo Ji, Le Yu, Leilei Sun, Bowen Du

Multi-Scale Subgraph Contrastive Learning

Yanbei Liu, Yu Zhao, Xiao Wang, Lei Geng, Zhitao Xiao

Federated Probabilistic Preference Distribution Modelling with Compactness Co-Clustering for Privacy-Preserving Multi-Domain Recommendation

Weiming Liu, Chaochao Chen, Xinting Liao, Mengling Hu, Jianwei Yin

Gapformer: Graph Transformer with Graph Pooling for Node Classification

Chuang Liu, Yibing Zhan, Xueqi Ma, Liang Ding, Dapeng Tao

Model Conversion via Differentially Private Data-Free Distillation

Bochao Liu, Pengju Wang, Shikun Li, Dan Zeng, Shiming Ge

Do We Need an Encoder-Decoder to Model Dynamical Systems on Networks?

Bing Liu, Wei Luo, Gang Li, Jing Huang, Bo Yang

SMARTformer: Semi-Autoregressive Transformer with Efficient Integrated Window Attention for Long Time Series Forecasting

Yiduo Li, Shiyi Qi, Zhe Li, Zhongwen Rao, Lujia Pan

Computing (1+epsilon)-Approximate Degeneracy in Sublinear Time

Valerie King, Alex Thomo, Quinton Yong

Hawkes Process Based on Controlled Differential Equations

Minju Jo, Seungji Kook, Noseong Park

OSDP: Optimal Sharded Data Parallel for Distributed Deep Learning

YOUHE JIANG, Fangcheng Fu, Xupeng Miao, Xiaonan Nie, Bin CUI

A Symbolic Approach to Computing Disjunctive Association Rules from Data

Said Jabbour, Badran Raddaoui, Lakhdar Sais

Enhancing Network by Reinforcement Learning and Neural Confined Local Search

Qifu Hu, Ruyang Li, Qi Deng, Yaqian Zhao, Rengang Li

Targeting Minimal Rare Itemsets from Transaction Databases

Amel Hidouri, Badran Raddaoui, Said Jabbour

Beyond Homophily: Robust Graph Anomaly Detection via Neural Sparsification

Zheng Gong, Guifeng Wang, Ying Sun, Qi Liu, Yuting Ning

Open Anomalous Trajectory Recognition via Probabilistic Metric Learning

Qiang Gao, Xiaohan Wang, Chaoran Liu, Goce Trajcevski, Li Huang

Adaptive Path-Memory Network for Temporal Knowledge Graph Reasoning

Hao Dong, Zhiyuan Ning, Pengyang Wang, Ziyue Qiao, pengfei wang

Learning Gaussian Mixture Representations for Tensor Time Series Forecasting

Jiewen Deng, Jinliang Deng, Renhe Jiang, Xuan Song

Probabilistic Masked Attention Networks for Explainable Sequential Recommendation

Huiyuan Chen, Kaixiong Zhou, Zhimeng Jiang, Chin-Chia Michael Yeh, Xiaoting Li

CSGCL: Community-Strength-Enhanced Graph Contrastive Learning

Han Chen, Ziwen Zhao, Yuhua Li, Yixiong Zou, Ruixuan Li

Eliminating the Computation of Strongly Connected Components in Generalized Arc Consistency Algorithm for AllDifferent Constraint

Luhan Zhen, Zhanshan Li, Yanzhi Li, Hongbo Li

Solving Quantum-Inspired Perfect Matching Problems via Tutte-Theorem-Based Hybrid Boolean Constraints

Moshe Y. Vardi, Zhiwei Zhang

Engineering an Efficient Approximate DNF-Counter

Mate Soos, Divesh Aggarwal, Sourav Chakraborty, Kuldeep S. Meel, Maciej Obremski

Optimal Decision Trees For Interpretable Clustering with Constraints

Pouya Shati, Eldan Cohen, Sheila McIlraith

Computing Twin-width with SAT and Branch & Bound

Andre Schidler, Stefan Szeider

Fast Algorithms for SAT with Bounded Occurrences of Variables

Junqiang Peng, Mingyu Xiao

Flaws of Termination and Optimality in ADOPT-based Algorithms

Koji Noshiro, Koji Hasebe

A Bitwise GAC Algorithm for Alldifferent Constraints

Zhe Li, Yaohua Wang, Zhanshan Li

A New Variable Ordering for In-processing Bounded Variable Elimination in SAT Solvers

Shuolin Li, Chu-Min Li, Mao Luo, Jordi Coll, Djamal Habet

Solving the Identifying Code Set Problem with Grouped Independent Support

Anna L.D. Latour, Arunabha Sen, Kuldeep S. Meel

Backpropagation of Unrolled Solvers with Folded Optimization

James Kotary, My H Dinh, Ferdinando Fioretto

Differentiable Model Selection for Ensemble Learning

James Kotary, Vincenzo Di Vito, Ferdinando Fioretto

Co-Certificate Learning with SAT Modulo Symmetries

Markus Kirchweger, Tomáš Peitl, Stefan Szeider

Unifying Core-Guided and Implicit Hitting Set Based Optimization

Hannes Ihalainen, Jeremias Berg, Matti Järvisalo

New Bounds and Constraint Programming Models for the Weighted Vertex Coloring Problem

Olivier Goudet, Cyril Grelier, David Lesaint

Improved Algorithms for Allen's Interval Algebra by Dynamic Programming with Sublinear Partitioning

Leif Eriksson, Victor Lagerkvist

A Fast Algorithm for Consistency Checking Partially Ordered Time

Leif Eriksson, Victor Lagerkvist

Learning When to Use Automatic Tabulation in Constraint Model Reformulation

Carlo Cena, Özgür Akgün, Zeynep Kiziltan, Ian Miguel, Peter Nightingale

Constraints First: A New MDD-based Model to Generate Sentences Under Constraints

Alexandre Bonlarron, Aurélie Calabrèse, Pierre Kornprobst, Jean-Charles Régin

Faster Exact MPE and Constrained Optimization with Deterministic Finite State Automata

Filippo Bistaffa

Learning Constraint Networks over Unknown Constraint Languages

Christian Bessiere, Clement Carbonnel, Areski Himeur

A Regular Matching Constraint for String Variables

Roberto Amadini, Peter J. Stuckey

Towards Accurate Video Text Spotting with Text-wise Semantic Reasoning

Xinyan Zu, Haiyang Yu, Bin Li, Xiangyang Xue

Efficient Multi-View Inverse Rendering Using a Hybrid Differentiable Rendering Method

Xiangyang Zhu, Yiling Pan, Bailin Deng, Bin Wang

Vision Language Navigation with Knowledge-driven Environmental Dreamer

Fengda Zhu, Vincent CS Lee, Xiaojun Chang, Xiaodan Liang

A Solution to Co-occurence Bias: Attributes Disentanglement via Mutual Information Minimization for Pedestrian Attribute Recognition

Yibo Zhou, Hai-Miao Hu, Jinzuo Yu, Zhenbo Xu, Weiqing Lu

Dichotomous Image Segmentation with Frequency Priors

Yan Zhou, Bo Dong, Yuanfeng Wu, Wentao Zhu, Geng Chen

RePaint-NeRF: NeRF Editting via Semantic Masks and Diffusion Models

Xingchen Zhou, Ying He, F. Richard Yu, Jianqiang Li, You Li

CADParser: A Learning Approach of Sequence Modeling for B-Rep CAD

Shengdi Zhou, Tianyi Tang, Bin Zhou

Pyramid Diffusion Models for Low-light Image Enhancement

Dewei Zhou, Zongxin Yang, Yi Yang

Video Frame Interpolation with Densely Queried Bilateral Correlation

Chang Zhou, Jie Liu, Jie Tang, Gangshan Wu

TPS++: Attention-Enhanced Thin-Plate Spline for Scene Text Recognition

Tianlun Zheng, Zhineng Chen, Jinfeng Bai, Hongtao Xie, Yu-Gang Jiang

STS-GAN: Can We Synthesize Solid Texture with High Fidelity from Arbitrary 2D Exemplar?

Xin Zhao, Jifeng Guo, Lin Wang, Fanqi Li, Jiahao Li

MM-PCQA: Multi-Modal Learning for No-reference Point Cloud Quality Assessment

Zicheng Zhang, Wei Sun, Xiongkuo Min, Qiyuan Wang, Jun He

FGNet: Towards Filling the Intra-class and Inter-class Gaps for Few-shot Segmentation

Yuxuan Zhang, Wei Yang, Shaowei Wang

Manifold-Aware Self-Training for Unsupervised Domain Adaptation on Regressing 6D Object Pose

Yichen Zhang, Jiehong Lin, Ke Chen, Zelin Xu, Yaowei Wang

Learning Object Consistency and Interaction in Image Generation from Scene Graphs

Yangkang Zhang, Chenye Meng, Zejian Li, Pei Chen, Guang Yang

HOI-aware Adaptive Network for Weakly-supervised Action Segmentation

Runzhong Zhang, Suchen Wang, Yueqi Duan, Yansong Tang, Yue Zhang

Spatially Covariant Lesion Segmentation

Hang Zhang, Rongguang Wang, Jinwei Zhang, Dongdong Liu, CHAO LI

Linguistic More: Taking a Further Step toward Efficient and Accurate Scene Text Recognition

Boqiang Zhang, Hongtao Xie, Yuxin Wang, Jianjun Xu, Yongdong Zhang

DenseDINO: Boosting Dense Self-Supervised Learning with Token-Based Point-Level Consistency

Yike Yuan, Xinghe Fu, yunlong yu, Xi Li

Black-box Prompt Tuning for Vision-Language Model as a Service

Lang Yu, Qin Chen, Jiaju Lin, Liang He

Actor-Multi-Scale Context Bidirectional Higher Order Interactive Relation Network for Spatial-Temporal Action Localization

Jun Yu, Yingshuai Zheng, Shulan Ruan, Qi Liu, Zhiyuan Cheng

Orientation-Independent Chinese Text Recognition in Scene Images

Haiyang Yu, Xiaocong Wang, Bin Li, Xiangyang Xue

Action Recognition with Multi-stream Motion Modeling and Mutual Information Maximization

Yuheng Yang, Haipeng Chen, Zhenguang Liu, Yingda Lyu, Beibei Zhang

Exploring Safety Supervision for Continual Test-time Domain Adaptation

Xu Yang, Yanan Gu, Kun Wei, Cheng Deng

Video Diffusion Models with Local-Global Context Guidance

Siyuan Yang, Lu Zhang, Yu Liu, Zhizhuo Jiang, You He

Few-shot Classification via Ensemble Learning with Multi-Order Statistics

Sai Yang, Fan LIU, Delong Chen, Jun Zhou

Prompt Learns Prompt: Exploring Knowledge-Aware Generative Prompt Collaboration For Video Captioning

Liqi Yan, Cheng Han, Zenglin Xu, Dongfang Liu, Qifan Wang

RuleMatch: Matching Abstract Rules for Semi-supervised Learning of Human Standard Intelligence Tests

Yunlong Xu, Lingxiao Yang, Hongzhi You, Zonglei Zhen, Da-Hui Wang

Video Object Segmentation in Panoptic Wild Scenes

Yuanyou Xu, Zongxin Yang, Yi Yang

Universal Adaptive Data Augmentation

Xiaogang Xu, Hengshuang Zhao

Diagnose Like a Pathologist: Transformer-Enabled Hierarchical Attention-Guided Multiple Instance Learning for Whole Slide Image Classification

Conghao Xiong, Hao Chen, Joseph J.Y. Sung, Irwin King

3D Surface Super-resolution from Enhanced 2D Normal Images: A Multimodal-driven Variational AutoEncoder Approach

Wuyuan Xie, Tengcong Huang, Miaohui Wang

ViT-CX: Causal Explanation of Vision Transformers

Weiyan Xie, Xiao-Hui Li, Caleb Chen Cao, Nevin L. Zhang

Hyperspectral Image Denoising Using Uncertainty-Aware Adjustor

JiaHua Xiao, Xing Wei

Learning Monocular Depth in Dynamic Environment via Context-aware Temporal Attention

ZiZhang Wu, Zhuozheng Li, Zhi-Gang Fan, Yunzhe Wu, Yuanzhu Gan

Hierarchical Semantic Contrast for Weakly Supervised Semantic Segmentation

Yuanchen Wu, Xiaoqiang Li, songmin dai, Jide Li, Tong Liu

From Generation to Suppression: Towards Effective Irregular Glow Removal for Nighttime Visibility Enhancement

Wanyu Wu, Wei Wang, Zheng Wang, Kui Jiang, Xin Xu

Accurate MRI Reconstruction via Multi-Domain Recurrent Networks

Jinbao Wei, Zhijie Wang, Kongqiao Wang, Li Guo, Xueyang Fu

Dual-view Correlation Hybrid Attention Network for Robust Holistic Mammogram Classification

Zhiwei Wang, Junlin Xian, Kangyi Liu, Xin Li, Qiang Li

Learning 3D Photography Videos via Self-supervised Diffusion on Single Images

Xiaodong Wang, Chenfei Wu, Shengming Yin, Minheng Ni, Jianfeng Wang

Align, Perturb and Decouple: Toward Better Leverage of Difference Information for RSI Change Detection

Supeng Wang, Yuxi Li, Ming Xie, Mingmin Chi, Yabiao Wang

Detecting Adversarial Faces Using Only Real Face Self-Perturbations

Qian Wang, Yongqin Xian, Hefei Ling, Jinyuan Zhang, Xiaorui Lin

A Dual Semantic-Aware Recurrent Global-Adaptive Network for Vision-and-Language Navigation

Liuyi Wang, Zongtao He, Jiagui Tang, Ronghao Dang, Naijia Wang

Hierarchical Prompt Learning for Compositional Zero-Shot Recognition

Henan Wang, Muli Yang, Kun Wei, Cheng Deng

Learning Calibrated Uncertainties for Domain Shift: A Distributionally Robust Learning Approach

Haoxuan Wang, Zhiding Yu, Yisong Yue, Animashree Anandkumar, Anqi Liu

Temporal Constrained Feasible Subspace Learning for Human Pose Forecasting

Gaoang Wang, Mingli Song

Shaken, and Stirred: Long-Range Dependencies Enable Robust Outlier Detection with PixelCNN++

Barath Mohan Umapathi, Kushal Chauhan, Pradeep Shenoy, Devarajan Sridharan

Domain-Adaptive Self-Supervised Face & Body Detection in Drawings

Barış Batuhan Topal, Deniz Yuret, Tevfik Metin Sezgin

Appearance Prompt Vision Transformer for Connectome Reconstruction

Rui Sun, Naisong Luo, Yuwen Pan, Huayu Mai, Tianzhu Zhang

VGOS: Voxel Grid Optimization for View Synthesis from Sparse Inputs

Jiakai Sun, Zhanjie Zhang, Jiafu Chen, Guangyuan Li, Boyan Ji

Acoustic NLOS Imaging with Cross Modal Knowledge Distillation

Ui-Hyeon Shin, Seungwoo Jang, Kwangsu Kim

Depth-Relative Self Attention for Monocular Depth Estimation

Kyuhong Shim, Jiyoung Kim, Gusang Lee, Byonghyo Shim

Discrepancy-Guided Reconstruction Learning for Image Forgery Detection

Zenan Shi, Haipeng Chen, Long Chen, Dong Zhang

Data Level Lottery Ticket Hypothesis for Vision Transformers

Xuan Shen, Zhenglun Kong, Minghai Qin, Peiyan Dong, Geng Yuan

Divide Rows and Conquer Cells: Towards Structure Recognition for Large Tables

Huawen Shen, Xiang Gao, Jin Wei, Liang Qiao, Yu Zhou