AAAI 2022

1,624 papers

6DCNN with Roto-Translational Convolution Filters for Volumetric Data Processing

Dmitrii Zhemchuzhnikov, Ilia Igashov, Sergei Grudinin

Hierarchical Multi-Supervision Multi-Interaction Graph Attention Network for Multi-Camera Pedestrian Trajectory Prediction

Guoliang Zhao, Yuxun Zhou, Zhanbo Xu, Yadong Zhou, Jiang Wu

AlphaHoldem: High-Performance Artificial Intelligence for Heads-Up No-Limit Poker via End-to-End Reinforcement Learning

Enmin Zhao, Renye Yan, Jinqiu Li, Kai Li, Junliang Xing

DeepThermal: Combustion Optimization for Thermal Power Generating Units Using Offline Reinforcement Learning

Xianyuan Zhan, Haoran Xu, Yue Zhang, Xiangyu Zhu, Honglei Yin

ZINB-Based Graph Embedding Autoencoder for Single-Cell RNA-Seq Interpretations

Zhuohan Yu, Yifu Lu, Yunhe Wang, Fan Tang, Ka-Chun Wong

Deepfake Network Architecture Attribution

Tianyun Yang, Ziyao Huang, Juan Cao, Lei Li, Xirong Li

RID-Noise: Towards Robust Inverse Design under Noisy Environments

Jia-Qi Yang, Ke-Bin Fan, Hao Ma, De-Chuan Zhan

NSGZero: Efficiently Learning Non-exploitable Policy in Large-Scale Network Security Games with Neural Monte Carlo Tree Search

Wanqi Xue, Bo An, Chai Kiat Yeo

RepBin: Constraint-Based Graph Representation Learning for Metagenomic Binning

Hansheng Xue, Vijini Mallawaarachchi, Yujia Zhang, Vaibhav Rajan, Yu Lin

EtinyNet: Extremely Tiny Network for TinyML

Kunran Xu, Yishi Li, Huawei Zhang, Rui Lai, Lin Gu

Contact-Distil: Boosting Low Homologous Protein Contact Map Prediction by Self-Supervised Distillation

Qin Wang, Jiayang Chen, Yuzhe Zhou, Yu Li, Liangzhen Zheng

DDGCN: Dual Dynamic Graph Convolutional Networks for Rumor Detection on Social Media

Mengzhu Sun, Xi Zhang, Jiaqi Zheng, Guixiang Ma

Constrained Prescriptive Trees via Column Generation

Shivaram Subramanian, Wei Sun, Youssef Drissi, Markus Ettl

EMVLight: A Decentralized Reinforcement Learning Framework for Efficient Passage of Emergency Vehicles

Haoran Su, Yaofeng Desmond Zhong, Biswadip dey, Amit Chakraborty

Learning Human Driving Behaviors with Sequential Causal Imitation Learning

Kangrui Ruan, Xuan Di

Hyperverlet: A Symplectic Hypersolver for Hamiltonian Systems

Frederik Baymler Mathiesen, Bin Yang, Jilin Hu

Context-Aware Health Event Prediction via Transition Functions on Dynamic Disease Graphs

Chang Lu, Tian Han, Yue Ning

End-to-End Line Drawing Vectorization

Hanyuan Liu, Chengze Li, Xueting Liu, Tien-Tsin Wong

OAM: An Option-Action Reinforcement Learning Framework for Universal Multi-Intersection Control

Enming Liang, Zicheng Su, Chilin Fang, Renxin Zhong

GeomGCL: Geometric Graph Contrastive Learning for Molecular Property Prediction

Shuangli Li, Jingbo Zhou, Tong Xu, Dejing Dou, Hui Xiong

Intra-Inter Subject Self-Supervised Learning for Multivariate Cardiac Signals

Xiang Lan, Dianwen Ng, Shenda Hong, Mengling Feng

SPATE-GAN: Improved Generative Modeling of Dynamic Spatio-Temporal Patterns with an Autoregressive Embedding Loss

Konstantin Klemmer, Tianlin Xu, Beatrice Acciaio, Daniel B. Neill

Proxy Learning of Visual Concepts of Fine Art Paintings from Styles through Language Models

Diana Kim, Ahmed Elgammal, Marian Mazzone

Solving PDE-Constrained Control Problems Using Operator Learning

Rakhoon Hwang, Jae Yong Lee, Jin Young Shin, Hyung Ju Hwang

Learning and Dynamical Models for Sub-seasonal Climate Forecasting: Comparison and Collaboration

Sijie He, Xinyan Li, Laurie Trenary, Benjamin A Cash, Timothy DelSole

SCIR-Net: Structured Color Image Representation Based 3D Object Detection Network from Point Clouds

Qingdong He, Hao Zeng, Yi Zeng, Yijun Liu

AXM-Net: Implicit Cross-Modal Feature Alignment for Person Re-identification

Ammarah Farooq, Muhammad Awais, Josef Kittler, Syed Safwan Khalid

FactorVAE: A Probabilistic Dynamic Factor Model Based on Variational Autoencoder for Predicting Cross-Sectional Stock Returns

Yitong Duan, Lei Wang, Qizhong Zhang, Jian Li

A Unified Framework for Real Time Motion Completion

Yinglin Duan, Yue Lin, Zhengxia Zou, Yi Yuan, Zhehui Qian

DeepHardMark: Towards Watermarking Neural Network Hardware

Joseph Clements, Yingjie Lao

Zero-Shot Audio Source Separation through Query-Based Learning from Weakly-Labeled Data

Ke Chen, Xingjian Du, Bilei Zhu, Zejun Ma, Taylor Berg-Kirkpatrick

Diaformer: Automatic Diagnosis via Symptoms Sequence Generation

Junying Chen, Dongfang Li, Qingcai Chen, Wenxiu Zhou, Xin Liu

No Task Left Behind: Multi-Task Learning of Knowledge Tracing and Option Tracing for Better Student Assessment

Suyeong An, Junghoon Kim, Minsam Kim, Juneyoung Park

Can Machines Read Coding Manuals Yet? – A Benchmark for Building Better Language Models for Code Understanding

Ibrahim Abdelaziz, Julian Dolby, Jamie McCusker, Kavitha Srinivas

Defending Graph Convolutional Networks against Dynamic Graph Perturbations via Bayesian Self-Supervision

Jun Zhuang, Mohammad Al Hasan

Forecasting Asset Dependencies to Reduce Portfolio Risk

Haoren Zhu, Shih-Yang Liu, Pengfei Zhao, Yingying Chen, Dik Lun Lee

Multi-Type Urban Crime Prediction

Xiangyu Zhao, Wenqi Fan, Hui LIU, Jiliang Tang

Multi-View Intent Disentangle Graph Networks for Bundle Recommendation

Sen Zhao, Wei Wei, Ding Zou, Xianling Mao

Multi-Dimensional Prediction of Guild Health in Online Games: A Stability-Aware Multi-Task Learning Approach

Chuang Zhao, Hongke Zhao, Runze Wu, Qilin Deng, Yu Ding

Robust Heterogeneous Graph Neural Networks against Adversarial Attacks

Mengmei Zhang, Xiao Wang, Meiqi Zhu, Chuan Shi, Zhiqiang Zhang

Anisotropic Additive Quantization for Fast Inner Product Search

Jin Zhang, Qi Liu, Defu Lian, Zheng Liu, Le Wu

Mind the Gap: Cross-Lingual Information Retrieval with Hierarchical Knowledge Enhancement

Fuwei Zhang, Zhao Zhang, Xiang Ao, Dehong Gao, Fuzhen Zhuang

Multi-Scale Distillation from Multiple Graph Neural Networks

Chunhai Zhang, Jie Liu, Kai Dang, Wenzheng Zhang

Self-Supervised Graph Neural Networks via Diverse and Interactive Message Passing

Liang Yang, Cheng Chen, Weixun Li, bingxin niu, Junhua Gu

Cross-Task Knowledge Distillation in Multi-Task Recommendation

Chenxiao Yang, Junwei Pan, Xiaofeng Gao, Tingyu Jiang, Dapeng Liu

PolygonE: Modeling N-ary Relational Data as Gyro-Polygons in Hyperbolic Space

Shiyao Yan, Zequn Zhang, Xian Sun, Guangluan Xu, Shuchao Li

Blindfolded Attackers Still Threatening: Strict Black-Box Adversarial Attacks on Graphs

Jiarong Xu, Yizhou Sun, Xin Jiang, Yanhao Wang, Chunping Wang

Unsupervised Adversarially Robust Representation Learning on Graphs

Jiarong Xu, Yang Yang, Junru Chen, Xin Jiang, Chunping Wang

Ensemble Semi-supervised Entity Alignment via Cycle-Teaching

Kexuan Xin, Zequn Sun, Wen Hua, Bing Liu, Wei Hu

CoCoS: Enhancing Semi-supervised Learning on Graphs with Unlabeled Data via Contrastive Context Sharing

Siyue Xie, Da Sun Handason Tam, Wing Cheong Lau

Online Enhanced Semantic Hashing: Towards Effective and Efficient Retrieval for Streaming Multi-Modal Data

Xiao-ming Wu, Xin Luo, Yu-Wei Zhan, Chen-Lu Ding, Zhen-Duo Chen

SmartIdx: Reducing Communication Cost in Federated Learning by Exploiting the CNNs Structures

Donglei Wu, Xiangyu Zou, Shuyu Zhang, Haoyu Jin, Wen Xia

DeepGPD: A Deep Learning Approach for Modeling Geospatio-Temporal Extreme Events

Tyler Wilson, Pang-Ning Tan, Lifeng Luo

Discovering Interpretable Data-to-Sequence Generators

Boris Wiegand, Dietrich Klakow, Jilles Vreeken

Event-Aware Multimodal Mobility Nowcasting

Zhaonan Wang, Renhe Jiang, Hao Xue, Flora D. Salim, Xuan Song

ShuttleNet: Position-Aware Fusion of Rally Progress and Player Styles for Stroke Forecasting in Badminton

Wei-Yao Wang, Hong-Han Shuai, Kai-Shiang Chang, Wen-Chih Peng

Powerful Graph Convolutional Networks with Adaptive Propagation Mechanism for Homophily and Heterophily

Tao Wang, Di Jin, Rui Wang, Dongxiao He, Yuxiao Huang

Calibrated Nonparametric Scan Statistics for Anomalous Pattern Detection in Graphs

Chunpai Wang, Daniel B. Neill, Feng Chen

HAGEN: Homophily-Aware Graph Convolutional Recurrent Network for Crime Forecasting

Chenyu Wang, Zongyu Lin, Xiaochen Yang, Jiao Sun, Mingxuan Yue

Exploring Relational Semantics for Inductive Knowledge Graph Completion

Changjian Wang, Xiaofei Zhou, Shirui Pan, Linhua Dong, Zeliang Song

Heterogeneous Peer Effects in the Linear Threshold Model

Christopher Tran, Elena Zheleva

Graph Structure Learning with Variational Information Bottleneck

Qingyun Sun, Jianxin Li, Hao Peng, Jia Wu, Xingcheng Fu

MS-HGAT: Memory-Enhanced Sequential Hypergraph Attention Network for Information Diffusion Prediction

Ling Sun, Yuan Rao, Xiangbo Zhang, Yuqian Lan, Shuanghe Yu

A Self-Supervised Mixed-Curvature Graph Neural Network

Li Sun, Zhongbao Zhang, Junda Ye, Hao Peng, Jiawei Zhang

Unifying Knowledge Base Completion with PU Learning to Mitigate the Observation Bias

Jonas Schouterden, Jessa Bekker, Jesse Davis, Hendrik Blockeel

Transferring the Contamination Factor between Anomaly Detection Domains by Shape Similarity

Lorenzo Perini, Vincent Vercruyssen, Jesse Davis

TLogic: Temporal Logical Rules for Explainable Link Forecasting on Temporal Knowledge Graphs

Yushan Liu, Yunpu Ma, Marcel Hildebrandt, Mitchell Joblin, Volker Tresp

From One to All: Learning to Match Heterogeneous and Partially Overlapped Graphs

Weijie Liu, Hui Qian, Chao Zhang, Jiahao Xie, Zebang Shen

Unsupervised Anomaly Detection by Robust Density Estimation

Boyang Liu, Pang-Ning Tan, Jiayu Zhou

DDG-DA: Data Distribution Generation for Predictable Concept Drift Adaptation

Wendi Li, Xiao Yang, Weiqing Liu, Yingce Xia, Jiang Bian

Obtaining Calibrated Probabilities with Personalized Ranking Models

Wonbin Kweon, SeongKu Kang, Hwanjo Yu

The Triangle-Densest-K-Subgraph Problem: Hardness, Lovász Extension, and Application to Document Summarization

Aritra Konar, Nicholas D. Sidiropoulos

Meta-Learning for Online Update of Recommender Systems

Minseok Kim, Hwanjun Song, Yooju Shin, Dongmin Park, Kijung Shin

Naming the Most Anomalous Cluster in Hilbert Space for Structures with Attribute Information

Janis Kalofolias, Jilles Vreeken

STDEN: Towards Physics-Guided Neural Networks for Traffic Flow Prediction

Jiahao Ji, Jingyuan Wang, Zhe Jiang, Jiawei Jiang, Hu Zhang

FPAdaMetric: False-Positive-Aware Adaptive Metric Learning for Session-Based Recommendation

Jongwon Jeong, Jeong Choi, Hyunsouk Cho, Sehee Chung

CATN: Cross Attentive Tree-Aware Network for Multivariate Time Series Forecasting

Hui He, Qi Zhang, Simeng Bai, Kun Yi, Zhendong Niu

Block Modeling-Guided Graph Convolutional Neural Networks

Dongxiao He, Chundong Liang, Huixin Liu, Mingxiang Wen, Pengfei Jiao

GNN-Retro: Retrosynthetic Planning with Graph Neural Networks

Peng Han, Peilin Zhao, Chan Lu, Junzhou Huang, Jiaxiang Wu

Learning Temporal Point Processes for Efficient Retrieval of Continuous Time Event Sequences

Vinayak Gupta, Srikanta Bedathur, Abir De

Orthogonal Graph Neural Networks

Kai Guo, Kaixiong Zhou, Xia Hu, Yu Li, Yi Chang

Subspace Differential Privacy

Jie Gao, Ruobin Gong, Fang-Yi Yu

Heterogeneity-Aware Twitter Bot Detection with Relational Graph Transformers

Shangbin Feng, Zhaoxuan Tan, Rui Li, Minnan Luo

Molecular Contrastive Learning with Chemical Element Knowledge Graph

Yin Fang, Qiang Zhang, Haihong Yang, Xiang Zhuang, Shumin Deng

Differentially Describing Groups of Graphs

Corinna Coupette, Sebastian Dalleiger, Jilles Vreeken

TAG: Learning Timed Automata from Logs

Lénaïg Cornanguer, Christine Largouët, Laurence Rozé, Alexandre Termier

Fuzzy Logic Based Logical Query Answering on Knowledge Graphs

Xuelu Chen, Ziniu Hu, Yizhou Sun

DANets: Deep Abstract Networks for Tabular Data Classification and Regression

Jintai Chen, Kuanlun Liao, Yao Wan, Danny Z. Chen, Jian Wu

Two-Stage Octave Residual Network for End-to-End Image Compression

Fangdong Chen, Yumeng Xu, Li Wang

Regularizing Graph Neural Networks via Consistency-Diversity Graph Augmentations

Deyu Bo, Binbin Hu, Xiao Wang, Zhiqiang Zhang, Chuan Shi

How to Find a Good Explanation for Clustering?

Sayan Bandyapadhyay, Fedor Fomin, Petr A Golovach, William Lochet, Nidhi Purohit

Parameterized Approximation Algorithms for K-center Clustering and Variants

Sayan Bandyapadhyay, Zachary Friggstad, Ramin Mousavi

Two Compacted Models for Efficient Model-Based Diagnosis

Huisi Zhou, Dantong Ouyang, Xiangfu Zhao, Liming Zhang

TextHoaxer: Budgeted Hard-Label Adversarial Attacks on Text

Muchao Ye, Chenglin Miao, Ting Wang, Fenglong Ma

A Provably-Efficient Model-Free Algorithm for Infinite-Horizon Average-Reward Constrained Markov Decision Processes

Honghao Wei, Xin Liu, Lei Ying

Sample Average Approximation for Stochastic Optimization with Dependent Data: Performance Guarantees and Tractability

Yafei Wang, Bo Pan, Wei Tu, Peng Liu, Bei Jiang

Encoding Multi-Valued Decision Diagram Constraints as Binary Constraint Trees

Ruiwei Wang, Roland H.C. Yap

Real-Time Driver-Request Assignment in Ridesourcing

Hao Wang, Xiaohui Bei

A Variant of Concurrent Constraint Programming on GPU

Pierre Talbot, Frédéric G Pinel, Pascal Bouvry

Efficient Vertex-Oriented Polytopic Projection for Web-Scale Applications

Rohan Ramanath, S. Sathiya Keerthi, Yao Pan, Konstantin Salomatin, Kinjal Basu