AAAI 2023

2,023 papers

Complexity of Probabilistic Inference in Random Dichotomous Hedonic Games

Saar Cohen, Noa Agmon

A Pair-Approximation Method for Modelling the Dynamics of Multi-Agent Stochastic Games

Chen Chu, Zheng Yuan, Shuyue Hu, Chunjiang Mu, Zhen Wang

Game Implementation: What Are the Obstructions?

Jiehua Chen, Seyedeh Negar Layegh Khavidaki, Sebastian Vincent Haydn, Sofia Simola, Manuel Sorge

Topological Distance Games

Martin Bullinger, Warut Suksompong

Fair Division with Prioritized Agents

Xiaolin Bu, Zihao Li, Shengxin Liu, Jiaxin Song, Biaoshuai Tao

Multiwinner Voting with Possibly Unavailable Candidates

Markus Brill, Hayrullah Dindar, Jonas Israel, Jérôme Lang, Jannik Peters

Proportionality in Approval-Based Participatory Budgeting

Markus Brill, Stefan Forster, Martin Lackner, Jan Maly, Jannik Peters

Rank Aggregation Using Scoring Rules

Niclas Boehmer, Robert Bredereck, Dominik Peters

Properties of Position Matrices and Their Elections

Niclas Boehmer, Jin-Yi Cai, Piotr Faliszewski, Austen Z. Fan, Łukasz Janeczko

Causes of Stability in Dynamic Coalition Formation

Niclas Boehmer, Martin Bullinger, Anna Maria Kerkmann

Now We’re Talking: Better Deliberation Groups through Submodular Optimization

Jake Barrett, Kobi Gal, Paul Gölz, Rose M. Hong, Ariel D. Procaccia

Finding Fair Allocations under Budget Constraints

Siddharth Barman, Arindam Khan, Sudarshan Shyam, K. V. N. Sreenivas

Fairness Concepts for Indivisible Items with Externalities

Haris Aziz, Warut Suksompong, Zhaohong Sun, Toby Walsh

Bidding Graph Games with Partially-Observable Budgets

Guy Avni, Ismael Jecker, Đorđe Žikelić

Mediated Cheap Talk Design

Itai Arieli, Ivan Geffner, Moshe Tennenholtz

Direct Heterogeneous Causal Learning for Resource Allocation Problems in Marketing

Hao Zhou, Shaoming Li, Guibin Jiang, Jiaqi Zheng, Dong Wang

Sparse Maximum Margin Learning from Multimodal Human Behavioral Patterns

Ervine Zheng, Qi Yu, Zhi Zheng

Loan Fraud Users Detection in Online Lending Leveraging Multiple Data Views

Sha Zhao, Yongrui Huang, Ling Chen, Chunping Wang, Shijian Li

Yet Another Traffic Classifier: A Masked Autoencoder Based Traffic Transformer with Multi-Level Flow Representation

Ruijie Zhao, Mingwei Zhan, Xianwen Deng, Yanhao Wang, Yijun Wang

Mining and Applying Composition Knowledge of Dance Moves for Style-Concentrated Dance Generation

Xinjian Zhang, Su Yang, Yi Xu, Weishan Zhang, Longwen Gao

Generalized Cell Type Annotation and Discovery for Single-Cell RNA-Seq Data

Yuyao Zhai, Liang Chen, Minghua Deng

Overcoming Forgetting in Fine-Grained Urban Flow Inference via Adaptive Knowledge Replay

Haoyang Yu, Xovee Xu, Ting Zhong, Fan Zhou

Bootstrapping Multi-View Representations for Fake News Detection

Qichao Ying, Xiaoxiao Hu, Yangming Zhou, Zhenxing Qian, Dan Zeng

DMIS: Dynamic Mesh-Based Importance Sampling for Training Physics-Informed Neural Networks

Zijiang Yang, Zhongwei Qiu, Dongmei Fu

Multi-Label Few-Shot ICD Coding as Autoregressive Generation with Prompt

Zhichao Yang, Sunjae Kwon, Zonghai Yao, Hong Yu

KerPrint: Local-Global Knowledge Graph Enhanced Diagnosis Prediction for Retrospective and Prospective Interpretations

Kai Yang, Yongxin Xu, Peinie Zou, Hongxin Ding, Junfeng Zhao

Tighter Robust Upper Bounds for Options via No-Regret Learning

Shan Xue, Ye Du, Liang Xu

Multi-Relational Contrastive Learning Graph Neural Network for Drug-Drug Interaction Event Prediction

Zhankun Xiong, Shichao Liu, Feng Huang, Ziyan Wang, Xuan Liu

Retrosynthesis Prediction with Local Template Retrieval

Shufang Xie, Rui Yan, Junliang Guo, Yingce Xia, Lijun Wu

DiffMD: A Geometric Diffusion Model for Molecular Dynamics Simulations

Fang Wu, Stan Z. Li

Molformer: Motif-Based Transformer on 3D Heterogeneous Molecular Graphs

Fang Wu, Dragomir Radev, Stan Z. Li

Don’t Predict Counterfactual Values, Predict Expected Values Instead

Jeremiasz Wołosiuk, Maciej Świechowski, Jacek Mańdziuk

AdapSafe: Adaptive and Safe-Certified Deep Reinforcement Learning-Based Frequency Control for Carbon-Neutral Power Systems

Xu Wan, Mingyang Sun, Boli Chen, Zhongda Chu, Fei Teng

Contrastive Attention Networks for Attribution of Early Modern Print

Nikolai Vogler, Kartik Goyal, Kishore PV Reddy, Elizaveta Pertseva, Samuel V. Lemley

Deepfake Video Detection via Facial Action Dependencies Estimation

Lingfeng Tan, Yunhong Wang, Junfu Wang, Liang Yang, Xunxun Chen

GenéLive! Generating Rhythm Actions in Love Live!

Atsushi Takada, Daichi Yamazaki, Yudai Yoshida, Nyamkhuu Ganbat, Takayuki Shimotomai

Defending against Backdoor Attacks in Natural Language Generation

Xiaofei Sun, Xiaoya Li, Yuxian Meng, Xiang Ao, Lingjuan Lyu

HG-SL: Jointly Learning of Global and Local User Spreading Behavior for Fake News Early Detection

Ling Sun, Yuan Rao, Yuqian Lan, Bingcan Xia, Yangyang Li

MetaTPTrans: A Meta Learning Approach for Multilingual Code Representation Learning

Weiguo Pian, Hanyu Peng, Xunzhu Tang, Tiezhu Sun, Haoye Tian

Better Context Makes Better Code Language Models: A Case Study on Function Call Argument Completion

Hengzhi Pei, Jinman Zhao, Leonard Lausen, Sheng Zha, George Karypis

On Manipulating Weight Predictions in Signed Weighted Networks

Tomasz Lizurej, Tomasz Michalak, Stefan Dziembowski

Zero-Shot Rumor Detection with Propagation Structure via Prompt Learning

Hongzhan Lin, Pengyao Yi, Jing Ma, Haiyun Jiang, Ziyang Luo

Fine-Grained Position Helps Memorizing More, a Novel Music Compound Transformer Model with Feature Interaction Fusion

Zuchao Li, Ruhan Gong, Yineng Chen, Kehua Su

Decision-Making Context Interaction Network for Click-Through Rate Prediction

Xiang Li, Shuwei Chen, Jian Dong, Jin Zhang, Yongkang Wang

PEN: Prediction-Explanation Network to Forecast Stock Price Movement with Better Explainability

Shuqi Li, Weiheng Liao, Yuhan Chen, Rui Yan

Steganography of Steganographic Networks

Guobiao Li, Sheng Li, Meiling Li, Xinpeng Zhang, Zhenxing Qian

LagNet: Deep Lagrangian Mechanics for Plug-and-Play Molecular Representation Learning

Chunyan Li, Junfeng Yao, Jinsong Su, Zhaoyang Liu, Xiangxiang Zeng

GRIP: Graph Representation of Immune Repertoire Using Graph Neural Network and Transformer

Yongju Lee, Hyunho Lee, Kyoungseob Shin, Sunghoon Kwon

Rolling Horizon Based Temporal Decomposition for the Offline Pickup and Delivery Problem with Time Windows

Youngseo Kim, Danushka Edirimanna, Michael Wilbur, Philip Pugliese, Aron Laszka

Heterogeneous Graph Learning for Multi-Modal Medical Data Analysis

Sein Kim, Namkyeong Lee, Junseok Lee, Dongmin Hyun, Chanyoung Park

Repair Is Nearly Generation: Multilingual Program Repair with LLMs

Harshit Joshi, José Cambronero Sanchez, Sumit Gulwani, Vu Le, Gust Verbruggen

Online Symbolic Regression with Informative Query

Pengwei Jin, Di Huang, Rui Zhang, Xing Hu, Ziyuan Nan

Learning Chemical Rules of Retrosynthesis with Pre-training

Yinjie Jiang, Ying Wei, Fei Wu, Zhengxing Huang, Kun Kuang

MDM: Molecular Diffusion Model for 3D Molecule Generation

Lei Huang, Hengtong Zhang, Tingyang Xu, Ka-Chun Wong

MGTCF: Multi-Generator Tropical Cyclone Forecasting with Heterogeneous Meteorological Data

Cheng Huang, Cong Bai, Sixian Chan, Jinglin Zhang, YuQuan Wu

Integrating Reward Maximization and Population Estimation: Sequential Decision-Making for Internal Revenue Service Audit Selection

Peter Henderson, Ben Chugg, Brandon Anderson, Kristen Altenburger, Alex Turk

MSDC: Exploiting Multi-State Power Consumption in Non-intrusive Load Monitoring Based on a Dual-CNN Model

Jialing He, Jiamou Liu, Zijian Zhang, Yang Chen, Yiwei Liu

A Domain-Knowledge-Inspired Music Embedding Space and a Novel Attention Mechanism for Symbolic Music Modeling

Zixun Guo, Jaeyong Kang, Dorien Herremans

Identifying and Eliminating Majority Illusion in Social Networks

Umberto Grandi, Lawqueen Kanesh, Grzegorz Lisowski, Ramanujan Sridharan, Paolo Turrini

Flow-Based Robust Watermarking with Invertible Noise Layer for Black-Box Distortions

Han Fang, Yupeng Qiu, Kejiang Chen, Jiyi Zhang, Weiming Zhang

Constrained Submodular Optimization for Vaccine Design

Zheng Dai, David K. Gifford

Unsupervised Deep Embedded Fusion Representation of Single-Cell Transcriptomics

Yue Cheng, Yanchi Su, Zhuohan Yu, Yanchun Liang, Ka-Chun Wong

Set-to-Sequence Ranking-Based Concept-Aware Learning Path Recommendation

Xianyu Chen, Jian Shen, Wei Xia, Jiarui Jin, Yakun Song

BETA-CD: A Bayesian Meta-Learned Cognitive Diagnosis Framework for Personalized Learning

Haoyang Bi, Enhong Chen, Weidong He, Han Wu, Weihao Zhao

Principled Data-Driven Decision Support for Cyber-Forensic Investigations

Soodeh Atefi, Sakshyam Panda, Emmanouil Panaousis, Aron Laszka

Anytime User Engagement Prediction in Information Cascades for Arbitrary Observation Periods

Akshay Aravamudan, Xi Zhang, Georgios C. Anagnostopoulos

Show Me the Way! Bilevel Search for Synthesizing Programmatic Strategies

David S. Aleixo, Levi H.S. Lelis

Heterogeneous Region Embedding with Prompt Learning

Silin Zhou, Dan He, Lisi Chen, Shuo Shang, Peng Han

GRLSTM: Trajectory Similarity Computation with Graph-Based Residual LSTM

Silin Zhou, Jing Li, Hao Wang, Shuo Shang, Peng Han

Detecting Multivariate Time Series Anomalies with Zero Known Label

Qihang Zhou, Jiming Chen, Haoyu Liu, Shibo He, Wenchao Meng

GraphSR: A Data Augmentation Algorithm for Imbalanced Node Classification

Mengting Zhou, Zhiguo Gong

A Provable Framework of Learning Graph Embeddings via Summarization

Houquan Zhou, Shenghua Liu, Danai Koutra, Huawei Shen, Xueqi Cheng

ADMoE: Anomaly Detection with Mixture-of-Experts from Noisy Labels

Yue Zhao, Guoqing Zheng, Subhabrata Mukherjee, Robert McCann, Ahmed Awadallah

Causal Conditional Hidden Markov Model for Multimodal Traffic Prediction

Yu Zhao, Pan Deng, Junting Liu, Xiaofeng Jia, Mulan Wang

Deep Graph Structural Infomax

Wenting Zhao, Gongping Xu, Zhen Cui, Siqiang Luo, Cheng Long

Fair Representation Learning for Recommendation: A Mutual Information Perspective

Chen Zhao, Le Wu, Pengyang Shao, Kun Zhang, Richang Hong

AutoSTL: Automated Spatio-Temporal Multi-Task Learning

Zijian Zhang, Xiangyu Zhao, Hao Miao, Chunxu Zhang, Hongwei Zhao

Cross-Domain Few-Shot Graph Classification with a Reinforced Task Coordinator

Qiannan Zhang, Shichao Pei, Qiang Yang, Chuxu Zhang, Nitesh V. Chawla

TOT：Topology-Aware Optimal Transport for Multimodal Hate Detection

Linhao Zhang, Li Jin, Xian Sun, Guangluan Xu, Zequn Zhang

Query-Aware Quantization for Maximum Inner Product Search

Jin Zhang, Defu Lian, Haodi Zhang, Baoyun Wang, Enhong Chen

Practical Cross-System Shilling Attacks with Limited Access to Data

Meifang Zeng, Ke Li, Bingchuan Jiang, Liujuan Cao, Hui Li

Untargeted Attack against Federated Recommendation Systems via Poisonous Item Embeddings and the Defense

Yang Yu, Qi Liu, Likang Wu, Runlong Yu, Sanshi Lei Yu

Learning to Count Isomorphisms with Graph Neural Networks

Xingtong Yu, Zemin Liu, Yuan Fang, Xinming Zhang

Predicting Temporal Sets with Simplified Fully Connected Networks

Le Yu, Zihang Liu, Tongyu Zhu, Leilei Sun, Bowen Du

Next POI Recommendation with Dynamic Graph and Explicit Dependency

Feiyu Yin, Yong Liu, Zhiqi Shen, Lisi Chen, Shuo Shang

Learning from the Wisdom of Crowds: Exploiting Similar Sessions for Session Search

Yuhang Ye, Zhonghua Li, Zhicheng Dou, Yutao Zhu, Changwang Zhang

A Noise-Tolerant Differentiable Learning Approach for Single Occurrence Regular Expression with Interleaving

Rongzhen Ye, Tianqu Zhuang, Hai Wan, Jianfeng Du, Weilin Luo

Analogical Inference Enhanced Knowledge Graph Embedding

Zhen Yao, Wen Zhang, Mingyang Chen, Yufeng Huang, Yi Yang

One-for-All: Proposal Masked Cross-Class Anomaly Detection

Xincheng Yao, Chongyang Zhang, Ruoqi Li, Jun Sun, Zhenyu Liu

Unsupervised Legal Evidence Retrieval via Contrastive Learning with Approximate Aggregated Positive

Feng Yao, Jingyuan Zhang, Yating Zhang, Xiaozhong Liu, Changlong Sun

SCI: A Spectrum Concentrated Implicit Neural Compression for Biomedical Data

Runzhao Yang, Tingxiong Xiao, Yuxiao Cheng, Qianni Cao, Jinyuan Qu

Temporal Knowledge Graph Reasoning with Historical Contrastive Learning

Yi Xu, Junjie Ou, Hui Xu, Luoyi Fu

Knowledge Graph Embedding by Normalizing Flows

Changyi Xiao, Xiangnan He, Yixin Cao

Jointly Imputing Multi-View Data with Optimal Transport

Yangyang Wu, Xiaoye Miao, Xinyu Huang, Jianwei Yin

ConTextual Masked Auto-Encoder for Dense Passage Retrieval

Xing Wu, Guangyuan Ma, Meng Lin, Zijia Lin, Zhongyuan Wang

Few-Shot Composition Learning for Image Retrieval with Prompt Tuning

Junda Wu, Rui Wang, Handong Zhao, Ruiyi Zhang, Chaochao Lu

Online Semi-supervised Learning with Mix-Typed Streaming Features

Di Wu, Shengda Zhuo, Yu Wang, Zhong Chen, Yi He

Structure Aware Incremental Learning with Personalized Imitation Weights for Recommender Systems

Yuening Wang, Yingxue Zhang, Antonios Valkanas, Ruiming Tang, Chen Ma

Augmenting Affective Dependency Graph via Iterative Incongruity Graph Learning for Sarcasm Detection

Xiaobao Wang, Yiqi Dong, Di Jin, Yawen Li, Longbiao Wang

Beyond Graph Convolutional Network: An Interpretable Regularizer-Centered Optimization Framework

Shiping Wang, zhihao wu, Yuhong Chen, Yong Chen