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Home / Proceedings / Proceedings of the AAAI Conference on Artificial Intelligence, 36 /

No. 4: AAAI-22 Technical Tracks 4

AAAI Technical Track on Constraint Satisfaction and Optimization

  • Two Compacted Models for Efficient Model-Based Diagnosis

    Huisi Zhou, Dantong Ouyang, Xiangfu Zhao, Liming Zhang

    3885-3893

    PDF
  • Using MaxSAT for Efficient Explanations of Tree Ensembles

    Alexey Ignatiev, Yacine Izza, Peter J. Stuckey, Joao Marques-Silva

    3776-3785

    PDF
  • TextHoaxer: Budgeted Hard-Label Adversarial Attacks on Text

    Muchao Ye, Chenglin Miao, Ting Wang, Fenglong Ma

    3877-3884

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

    Honghao Wei, Xin Liu, Lei Ying

    3868-3876

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

    Yafei Wang, Bo Pan, Wei Tu, Peng Liu, Bei Jiang, Chao Gao, Wei Lu, Shangling Jui, Linglong Kong

    3859-3867

    PDF
  • Encoding Multi-Valued Decision Diagram Constraints as Binary Constraint Trees

    Ruiwei Wang, Roland H.C. Yap

    3850-3858

    PDF
  • Real-Time Driver-Request Assignment in Ridesourcing

    Hao Wang, Xiaohui Bei

    3840-3849

    PDF
  • A Variant of Concurrent Constraint Programming on GPU

    Pierre Talbot, Frédéric G Pinel, Pascal Bouvry

    3830-3839

    PDF
  • Efficient Vertex-Oriented Polytopic Projection for Web-Scale Applications

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

    3821-3829

    PDF
  • The SoftCumulative Constraint with Quadratic Penalty

    Yanick Ouellet, Claude-Guy Quimper

    3813-3820

    PDF
  • Analysis of Pure Literal Elimination Rule for Non-uniform Random (MAX) k-SAT Problem with an Arbitrary Degree Distribution

    Oleksii Omelchenko, Andrei A. Bulatov

    3804-3812

    PDF
  • Learning to Search in Local Branching

    Defeng Liu, Matteo Fischetti, Andrea Lodi

    3796-3803

    PDF
  • Finding Backdoors to Integer Programs: A Monte Carlo Tree Search Framework

    Elias B. Khalil, Pashootan Vaezipoor, Bistra Dilkina

    3786-3795

    PDF
  • Optimizing Binary Decision Diagrams with MaxSAT for Classification

    Hao Hu, Marie-José Huguet, Mohamed Siala

    3767-3775

    PDF
  • Computing Diverse Shortest Paths Efficiently: A Theoretical and Experimental Study

    Tesshu Hanaka, Yasuaki Kobayashi, Kazuhiro Kurita, See Woo Lee, Yota Otachi

    3758-3766

    PDF
  • A Divide and Conquer Algorithm for Predict+Optimize with Non-convex Problems

    Ali Ugur Guler, Emir Demirović, Jeffrey Chan, James Bailey, Christopher Leckie, Peter J. Stuckey

    3749-3757

    PDF
  • Faster Algorithms for Weak Backdoors

    Serge Gaspers, Andrew Kaploun

    3741-3748

    PDF
  • Efficient Riemannian Meta-Optimization by Implicit Differentiation

    Xiaomeng Fan, Yuwei Wu, Zhi Gao, Yunde Jia, Mehrtash Harandi

    3733-3740

    PDF
  • Resolving Inconsistencies in Simple Temporal Problems: A Parameterized Approach

    Konrad K. Dabrowski, Peter Jonsson, Sebastian Ordyniak, George Osipov

    3724-3732

    PDF
  • A Lyapunov-Based Methodology for Constrained Optimization with Bandit Feedback

    Semih Cayci, Yilin Zheng, Atilla Eryilmaz

    3716-3723

    PDF
  • The Perils of Learning Before Optimizing

    Chris Cameron, Jason Hartford, Taylor Lundy, Kevin Leyton-Brown

    3708-3715

    PDF
  • Undercover Boolean Matrix Factorization with MaxSAT

    Florent Avellaneda, Roger Villemaire

    3672-3681

    PDF
  • Certified Symmetry and Dominance Breaking for Combinatorial Optimisation

    Bart Bogaerts, Stephan Gocht, Ciaran McCreesh, Jakob Nordström

    3698-3707

    PDF
  • GEQCA: Generic Qualitative Constraint Acquisition

    Mohamed-Bachir Belaid, Nassim Belmecheri, Arnaud Gotlieb, Nadjib Lazaar, Helge Spieker

    3690-3697

    PDF
  • Achieving Zero Constraint Violation for Constrained Reinforcement Learning via Primal-Dual Approach

    Qinbo Bai, Amrit Singh Bedi, Mridul Agarwal, Alec Koppel, Vaneet Aggarwal

    3682-3689

    PDF

AAAI Technical Track on Data Mining and Knowledge Management

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

    Jun Zhuang, Mohammad Al Hasan

    4405-4413

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

    Tyler Wilson, Pang-Ning Tan, Lifeng Luo

    4245-4253

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

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

    4254-4262

    PDF
  • 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, Xin-Shun Xu

    4263-4271

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

    Siyue Xie, Da Sun Handason Tam, Wing Cheong Lau

    4272-4280

    PDF
  • Ensemble Semi-supervised Entity Alignment via Cycle-Teaching

    Kexuan Xin, Zequn Sun, Wen Hua, Bing Liu, Wei Hu, Jianfeng Qu, Xiaofang Zhou

    4281-4289

    PDF
  • Unsupervised Adversarially Robust Representation Learning on Graphs

    Jiarong Xu, Yang Yang, Junru Chen, Xin Jiang, Chunping Wang, Jiangang Lu, Yizhou Sun

    4290-4298

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

    Jiarong Xu, Yizhou Sun, Xin Jiang, Yanhao Wang, Chunping Wang, Jiangang Lu, Yang Yang

    4299-4307

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

    Shiyao Yan, Zequn Zhang, Xian Sun, Guangluan Xu, Shuchao Li, Qing Liu, Nayu Liu, Shensi Wang

    4308-4317

    PDF
  • Cross-Task Knowledge Distillation in Multi-Task Recommendation

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

    4318-4326

    PDF
  • Multi-Scale Distillation from Multiple Graph Neural Networks

    Chunhai Zhang, Jie Liu, Kai Dang, Wenzheng Zhang

    4337-4344

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

    Fuwei Zhang, Zhao Zhang, Xiang Ao, Dehong Gao, Fuzhen Zhuang, Yi Wei, Qing He

    4345-4353

    PDF
  • Anisotropic Additive Quantization for Fast Inner Product Search

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

    4354-4362

    PDF
  • Robust Heterogeneous Graph Neural Networks against Adversarial Attacks

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

    4363-4370

    PDF
  • 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, Jianrong Tao, Changjie Fan

    4371-4378

    PDF
  • Multi-View Intent Disentangle Graph Networks for Bundle Recommendation

    Sen Zhao, Wei Wei, Ding Zou, Xianling Mao

    4379-4387

    PDF
  • Multi-Type Urban Crime Prediction

    Xiangyu Zhao, Wenqi Fan, Hui Liu, Jiliang Tang

    4388-4396

    PDF
  • Forecasting Asset Dependencies to Reduce Portfolio Risk

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

    4397-4404

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

    Liang Yang, Cheng Chen, Weixun Li, Bingxin Niu, Junhua Gu, Chuan Wang, Dongxiao He, Yuanfang Guo, Xiaochun Cao

    4327-4336

    PDF
  • Graph Structure Learning with Variational Information Bottleneck

    Qingyun Sun, Jianxin Li, Hao Peng, Jia Wu, Xingcheng Fu, Cheng Ji, Philip S Yu

    4165-4174

    PDF
  • Heterogeneous Peer Effects in the Linear Threshold Model

    Christopher Tran, Elena Zheleva

    4175-4183

    PDF
  • Exploring Relational Semantics for Inductive Knowledge Graph Completion

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

    4184-4192

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

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

    4193-4200

    PDF
  • Calibrated Nonparametric Scan Statistics for Anomalous Pattern Detection in Graphs

    Chunpai Wang, Daniel B. Neill, Feng Chen

    4201-4209

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

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

    4210-4218

    PDF
  • 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

    4219-4227

    PDF
  • Event-Aware Multimodal Mobility Nowcasting

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

    4228-4236

    PDF
  • Discovering Interpretable Data-to-Sequence Generators

    Boris Wiegand, Dietrich Klakow, Jilles Vreeken

    4237-4244

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

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

    4156-4164

    PDF
  • A Self-Supervised Mixed-Curvature Graph Neural Network

    Li Sun, Zhongbao Zhang, Junda Ye, Hao Peng, Jiawei Zhang, Sen Su, Philip S Yu

    4146-4155

    PDF
  • Meta-Learning for Online Update of Recommender Systems

    Minseok Kim, Hwanjun Song, Yooju Shin, Dongmin Park, Kijung Shin, Jae-Gil Lee

    4065-4074

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

    Aritra Konar, Nicholas D. Sidiropoulos

    4075-4082

    PDF
  • Obtaining Calibrated Probabilities with Personalized Ranking Models

    Wonbin Kweon, SeongKu Kang, Hwanjo Yu

    4083-4091

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

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

    4092-4100

    PDF
  • Unsupervised Anomaly Detection by Robust Density Estimation

    Boyang Liu, Pang-Ning Tan, Jiayu Zhou

    4101-4108

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

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

    4109-4119

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

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

    4120-4127

    PDF
  • Transferring the Contamination Factor between Anomaly Detection Domains by Shape Similarity

    Lorenzo Perini, Vincent Vercruyssen, Jesse Davis

    4128-4136

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

    Jonas Schouterden, Jessa Bekker, Jesse Davis, Hendrik Blockeel

    4137-4145

    PDF
  • How to Find a Good Explanation for Clustering?

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

    3904-3912

    PDF
  • Parameterized Approximation Algorithms for K-center Clustering and Variants

    Sayan Bandyapadhyay, Zachary Friggstad, Ramin Mousavi

    3895-3903

    PDF
  • Regularizing Graph Neural Networks via Consistency-Diversity Graph Augmentations

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

    3913-3921

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

    Fangdong Chen, Yumeng Xu, Li Wang

    3922-3929

    PDF
  • DANets: Deep Abstract Networks for Tabular Data Classification and Regression

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

    3930-3938

    PDF
  • Fuzzy Logic Based Logical Query Answering on Knowledge Graphs

    Xuelu Chen, Ziniu Hu, Yizhou Sun

    3939-3948

    PDF
  • TAG: Learning Timed Automata from Logs

    Lénaïg Cornanguer, Christine Largouët, Laurence Rozé, Alexandre Termier

    3949-3958

    PDF
  • Differentially Describing Groups of Graphs

    Corinna Coupette, Sebastian Dalleiger, Jilles Vreeken

    3959-3967

    PDF
  • Molecular Contrastive Learning with Chemical Element Knowledge Graph

    Yin Fang, Qiang Zhang, Haihong Yang, Xiang Zhuang, Shumin Deng, Wen Zhang, Ming Qin, Zhuo Chen, Xiaohui Fan, Huajun Chen

    3968-3976

    PDF
  • Heterogeneity-Aware Twitter Bot Detection with Relational Graph Transformers

    Shangbin Feng, Zhaoxuan Tan, Rui Li, Minnan Luo

    3977-3985

    PDF
  • Subspace Differential Privacy

    Jie Gao, Ruobin Gong, Fang-Yi Yu

    3986-3995

    PDF
  • Orthogonal Graph Neural Networks

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

    3996-4004

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

    Vinayak Gupta, Srikanta Bedathur, Abir De

    4005-4013

    PDF
  • GNN-Retro: Retrosynthetic Planning with Graph Neural Networks

    Peng Han, Peilin Zhao, Chan Lu, Junzhou Huang, Jiaxiang Wu, Shuo Shang, Bin Yao, Xiangliang Zhang

    4014-4021

    PDF
  • Block Modeling-Guided Graph Convolutional Neural Networks

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

    4022-4029

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

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

    4030-4038

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

    Jongwon Jeong, Jeong Choi, Hyunsouk Cho, Sehee Chung

    4039-4047

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

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

    4048-4056

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

    Janis Kalofolias, Jilles Vreeken

    4057-4064

    PDF

AAAI Technical Track on Domain(s) Of Application

  • Fully Adaptive Framework: Neural Computerized Adaptive Testing for Online Education

    Yan Zhuang, Qi Liu, Zhenya Huang, Zhi Li, Shuanghong Shen, Haiping Ma

    4734-4742

    PDF
  • Constrained Prescriptive Trees via Column Generation

    Shivaram Subramanian, Wei Sun, Youssef Drissi, Markus Ettl

    4602-4610

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

    Mengzhu Sun, Xi Zhang, Jiaqi Zheng, Guixiang Ma

    4611-4619

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

    Qin Wang, Jiayang Chen, Yuzhe Zhou, Yu Li, Liangzhen Zheng, Sheng Wang, Zhen Li, Shuguang Cui

    4620-4627

    PDF
  • EtinyNet: Extremely Tiny Network for TinyML

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

    4628-4636

    PDF
  • RepBin: Constraint-Based Graph Representation Learning for Metagenomic Binning

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

    4637-4645

    PDF
  • 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

    4646-4653

    PDF
  • RID-Noise: Towards Robust Inverse Design under Noisy Environments

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

    4654-4661

    PDF
  • Deepfake Network Architecture Attribution

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

    4662-4670

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

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

    4671-4679

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

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

    4680-4688

    PDF
  • 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

    4689-4697

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

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

    4698-4706

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

    Dmitrii Zhemchuzhnikov, Ilia Igashov, Sergei Grudinin

    4707-4715

    PDF
  • Deeply Tensor Compressed Transformers for End-to-End Object Detection

    Peining Zhen, Ziyang Gao, Tianshu Hou, Yuan Cheng, Hai-Bao Chen

    4716-4724

    PDF
  • Dynamic Manifold Learning for Land Deformation Forecasting

    Fan Zhou, Rongfan Li, Qiang Gao, Goce Trajcevski, Kunpeng Zhang, Ting Zhong

    4725-4733

    PDF
  • Hyperverlet: A Symplectic Hypersolver for Hamiltonian Systems

    Frederik Baymler Mathiesen, Bin Yang, Jilin Hu

    4575-4582

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

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

    4593-4601

    PDF
  • Learning Human Driving Behaviors with Sequential Causal Imitation Learning

    Kangrui Ruan, Xuan Di

    4583-4592

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

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

    4495-4503

    PDF
  • 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

    4424-4431

    PDF
  • Diaformer: Automatic Diagnosis via Symptoms Sequence Generation

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

    4432-4440

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

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

    4441-4449

    PDF
  • DeepHardMark: Towards Watermarking Neural Network Hardware

    Joseph Clements, Yingjie Lao

    4450-4458

    PDF
  • A Unified Framework for Real Time Motion Completion

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

    4459-4467

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

    Yitong Duan, Lei Wang, Qizhong Zhang, Jian Li

    4468-4476

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

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

    4477-4485

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

    Qingdong He, Hao Zeng, Yi Zeng, Yijun Liu

    4486-4494

    PDF
  • Solving PDE-Constrained Control Problems Using Operator Learning

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

    4504-4512

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

    Diana Kim, Ahmed Elgammal, Marian Mazzone

    4513-4522

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

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

    4523-4531

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

    Xiang Lan, Dianwen Ng, Shenda Hong, Mengling Feng

    4532-4540

    PDF
  • GeomGCL: Geometric Graph Contrastive Learning for Molecular Property Prediction

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

    4541-4549

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

    Enming Liang, Zicheng Su, Chilin Fang, Renxin Zhong

    4550-4558

    PDF
  • End-to-End Line Drawing Vectorization

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

    4559-4566

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

    Chang Lu, Tian Han, Yue Ning

    4567-4574

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

    Ibrahim Abdelaziz, Julian Dolby, Jamie McCusker, Kavitha Srinivas

    4415-4423

    PDF

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