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Home / Proceedings / Proceedings of the AAAI Conference on Artificial Intelligence, 35 /

No. 5: AAAI-21 Technical Tracks 5

AAAI Technical Track on Constraint Satisfaction and Optimization

  • Parameterizing Branch-and-Bound Search Trees to Learn Branching Policies

    Giulia Zarpellon, Jason Jo, Andrea Lodi, Yoshua Bengio

    3931-3939

    PDF
  • The Power of Literal Equivalence in Model Counting

    Yong Lai, Kuldeep S. Meel, Roland H. C. Yap

    3851-3859

    PDF
  • Parallel Constraint Acquisition

    Nadjib Lazaar

    3860-3867

    PDF
  • Towards More Practical and Efficient Automatic Dominance Breaking

    Jimmy H.M. Lee, Allen Z. Zhong

    3868-3876

    PDF
  • Dependency Stochastic Boolean Satisfiability: A Logical Formalism for NEXPTIME Decision Problems with Uncertainty

    Nian-Ze Lee, Jie-Hong R. Jiang

    3877-3885

    PDF
  • Satisfiability and Algorithms for Non-uniform Random k-SAT

    Oleksii Omelchenko, Andrei Bulatov

    3886-3894

    PDF
  • Turbocharging Treewidth-Bounded Bayesian Network Structure Learning

    Vaidyanathan Peruvemba Ramaswamy, Stefan Szeider

    3895-3903

    PDF
  • SAT-based Decision Tree Learning for Large Data Sets

    Andre Schidler, Stefan Szeider

    3904-3912

    PDF
  • LCollision: Fast Generation of Collision-Free Human Poses using Learned Non-Penetration Constraints

    Qingyang Tan, Zherong Pan, Dinesh Manocha

    3913-3921

    PDF
  • Symmetric Component Caching for Model Counting on Combinatorial Instances

    Timothy van Bremen, Vincent Derkinderen, Shubham Sharma, Subhajit Roy, Kuldeep S. Meel

    3922-3930

    PDF
  • Scalable Verification of Quantized Neural Networks

    Thomas A. Henzinger, Mathias Lechner, Đorđe Žikelić

    3787-3795

    PDF
  • On Continuous Local BDD-Based Search for Hybrid SAT Solving

    Anastasios Kyrillidis, Moshe Vardi, Zhiwei Zhang

    3841-3850

    PDF
  • Backdoor Decomposable Monotone Circuits and Propagation Complete Encodings

    Petr Kučera, Petr Savický

    3832-3840

    PDF
  • Binary Matrix Factorisation via Column Generation

    Reka A. Kovacs, Oktay Gunluk, Raphael A. Hauser

    3823-3831

    PDF
  • Smooth Convex Optimization Using Sub-Zeroth-Order Oracles

    Mustafa O. Karabag, Cyrus Neary, Ufuk Topcu

    3815-3822

    PDF
  • A Scalable Two Stage Approach to Computing Optimal Decision Sets

    Alexey Ignatiev, Edward Lam, Peter J. Stuckey, Joao Marques-Silva

    3806-3814

    PDF
  • Integrated Optimization of Bipartite Matching and Its Stochastic Behavior: New Formulation and Approximation Algorithm via Min-cost Flow Optimization

    Yuya Hikima, Yasunori Akagi, Hideaki Kim, Masahiro Kohjima, Takeshi Kurashima, Hiroyuki Toda

    3796-3805

    PDF
  • Finding Diverse Trees, Paths, and More

    Tesshu Hanaka, Yasuaki Kobayashi, Kazuhiro Kurita, Yota Otachi

    3778-3786

    PDF
  • A SAT-based Resolution of Lam’s Problem

    Curtis Bright, Kevin K. H. Cheung, Brett Stevens, Ilias Kotsireas, Vijay Ganesh

    3669-3676

    PDF
  • Combining Reinforcement Learning and Constraint Programming for Combinatorial Optimization

    Quentin Cappart, Thierry Moisan, Louis-Martin Rousseau, Isabeau Prémont-Schwarz, Andre A. Cire

    3677-3687

    PDF
  • Necessary and Sufficient Conditions for Avoiding Reopenings in Best First Suboptimal Search with General Bounding Functions

    Jingwei Chen, Nathan R. Sturtevant

    3688-3696

    PDF
  • A Sharp Leap from Quantified Boolean Formula to Stochastic Boolean Satisfiability Solving

    Pei-Wei Chen, Yu-Ching Huang, Jie-Hong R. Jiang

    3697-3706

    PDF
  • An Improved Upper Bound for SAT

    Huairui Chu, Mingyu Xiao, Zhe Zhang

    3707-3714

    PDF
  • Solving Infinite-Domain CSPs Using the Patchwork Property

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

    3715-3723

    PDF
  • Disjunctive Temporal Problems under Structural Restrictions

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

    3724-3732

    PDF
  • Optimal Decision Trees for Nonlinear Metrics

    Emir Demirović, Peter J. Stuckey

    3733-3741

    PDF
  • Teaching the Old Dog New Tricks: Supervised Learning with Constraints

    Fabrizio Detassis, Michele Lombardi, Michela Milano

    3742-3749

    PDF
  • Cutting to the Core of Pseudo-Boolean Optimization: Combining Core-Guided Search with Cutting Planes Reasoning

    Jo Devriendt, Stephan Gocht, Emir Demirović, Jakob Nordström, Peter J. Stuckey

    3750-3758

    PDF
  • Optimising Automatic Calibration of Electric Muscle Stimulation

    Graeme Gange, Jarrod Knibbe

    3759-3767

    PDF
  • Certifying Parity Reasoning Efficiently Using Pseudo-Boolean Proofs

    Stephan Gocht, Jakob Nordström

    3768-3777

    PDF
  • New Length Dependent Algorithm for Maximum Satisfiability Problem

    Vasily Alferov, Ivan Bliznets

    3634-3641

    PDF
  • Learning To Scale Mixed-Integer Programs

    Timo Berthold, Gregor Hendel

    3661-3668

    PDF
  • Counting Maximal Satisfiable Subsets

    Jaroslav Bendík, Kuldeep S. Meel

    3651-3660

    PDF
  • Online Search with Maximum Clearance

    Spyros Angelopoulos, Malachi Voss

    3642-3650

    PDF

AAAI Technical Track on Data Mining and Knowledge Management

  • Relation-Aware Neighborhood Matching Model for Entity Alignment

    Yao Zhu, Hongzhi Liu, Zhonghai Wu, Yingpeng Du

    4749-4756

    PDF
  • Adversarial Directed Graph Embedding

    Shijie Zhu, Jianxin Li, Hao Peng, Senzhang Wang, Lifang He

    4741-4748

    PDF
  • Learning from History: Modeling Temporal Knowledge Graphs with Sequential Copy-Generation Networks

    Cunchao Zhu, Muhao Chen, Changjun Fan, Guangquan Cheng, Yan Zhang

    4732-4740

    PDF
  • Modeling Heterogeneous Relations across Multiple Modes for Potential Crowd Flow Prediction

    Qiang Zhou, Jingjing Gu, Xinjiang Lu, Fuzhen Zhuang, Yanchao Zhao, Qiuhong Wang, Xiao Zhang

    4723-4731

    PDF
  • A Unified Pretraining Framework for Passage Ranking and Expansion

    Ming Yan, Chenliang Li, Bin Bi, Wei Wang, Songfang Huang

    4555-4563

    PDF
  • Transformer-Style Relational Reasoning with Dynamic Memory Updating for Temporal Network Modeling

    Dongkuan Xu, Junjie Liang, Wei Cheng, Hua Wei, Haifeng Chen, Xiang Zhang

    4546-4554

    PDF
  • Dynamic Knowledge Graph Alignment

    Yuchen Yan, Lihui Liu, Yikun Ban, Baoyu Jing, Hanghang Tong

    4564-4572

    PDF
  • Rethinking Graph Regularization for Graph Neural Networks

    Han Yang, Kaili Ma, James Cheng

    4573-4581

    PDF
  • Capturing Delayed Feedback in Conversion Rate Prediction via Elapsed-Time Sampling

    Jia-Qi Yang, Xiang Li, Shuguang Han, Tao Zhuang, De-Chuan Zhan, Xiaoyi Zeng, Bin Tong

    4582-4589

    PDF
  • Why Do Attributes Propagate in Graph Convolutional Neural Networks?

    Liang Yang, Chuan Wang, Junhua Gu, Xiaochun Cao, Bingxin Niu

    4590-4598

    PDF
  • Relaxed Clustered Hawkes Process for Student Procrastination Modeling in MOOCs

    Mengfan Yao, Siqian Zhao, Shaghayegh Sahebi, Reza Feyzi Behnagh

    4599-4607

    PDF
  • Interpretable Clustering on Dynamic Graphs with Recurrent Graph Neural Networks

    Yuhang Yao, Carlee Joe-Wong

    4608-4616

    PDF
  • Coupled Layer-wise Graph Convolution for Transportation Demand Prediction

    Junchen Ye, Leilei Sun, Bowen Du, Yanjie Fu, Hui Xiong

    4617-4625

    PDF
  • Deep Graph-neighbor Coherence Preserving Network for Unsupervised Cross-modal Hashing

    Jun Yu, Hao Zhou, Yibing Zhan, Dacheng Tao

    4626-4634

    PDF
  • Self-Supervised Prototype Representation Learning for Event-Based Corporate Profiling

    Zixuan Yuan, Hao Liu, Renjun Hu, Denghui Zhang, Hui Xiong

    4644-4652

    PDF
  • Dual Sparse Attention Network For Session-based Recommendation

    Jiahao Yuan, Zihan Song, Mingyou Sun, Xiaoling Wang, Wayne Xin Zhao

    4635-4643

    PDF
  • Overcoming Catastrophic Forgetting in Graph Neural Networks with Experience Replay

    Fan Zhou, Chengtai Cao

    4714-4722

    PDF
  • Cold-start Sequential Recommendation via Meta Learner

    Yujia Zheng, Siyi Liu, Zekun Li, Shu Wu

    4706-4713

    PDF
  • Heterogeneous Graph Structure Learning for Graph Neural Networks

    Jianan Zhao, Xiao Wang, Chuan Shi, Binbin Hu, Guojie Song, Yanfang Ye

    4697-4705

    PDF
  • A Graph-based Relevance Matching Model for Ad-hoc Retrieval

    Yufeng Zhang, Jinghao Zhang, Zeyu Cui, Shu Wu, Liang Wang

    4688-4696

    PDF
  • Generalized Relation Learning with Semantic Correlation Awareness for Link Prediction

    Yao Zhang, Xu Zhang, Jun Wang, Hongru Liang, Wenqiang Lei, Zhe Sun, Adam Jatowt, Zhenglu Yang

    4679-4687

    PDF
  • Tripartite Collaborative Filtering with Observability and Selection for Debiasing Rating Estimation on Missing-Not-at-Random Data

    Qi Zhang, Longbing Cao, Chongyang Shi, Liang Hu

    4671-4678

    PDF
  • Taxonomy Completion via Triplet Matching Network

    Jieyu Zhang, Xiangchen Song, Ying Zeng, Jiaze Chen, Jiaming Shen, Yuning Mao, Lei Li

    4662-4670

    PDF
  • AugSplicing: Synchronized Behavior Detection in Streaming Tensors

    Jiabao Zhang, Shenghua Liu, Wenting Hou, Siddharth Bhatia, Huawei Shen, Wenjian Yu, Xueqi Cheng

    4653-4661

    PDF
  • Hyperbolic Variational Graph Neural Network for Modeling Dynamic Graphs

    Li Sun, Zhongbao Zhang, Jiawei Zhang, Feiyang Wang, Hao Peng, Sen Su, Philip S. Yu

    4375-4383

    PDF
  • Dynamic Memory based Attention Network for Sequential Recommendation

    Qiaoyu Tan, Jianwei Zhang, Ninghao Liu, Xiao Huang, Hongxia Yang, Jingren Zhou, Xia Hu

    4384-4392

    PDF
  • GaussianPath:A Bayesian Multi-Hop Reasoning Framework for Knowledge Graph Reasoning

    Guojia Wan, Bo Du

    4393-4401

    PDF
  • GSNet: Learning Spatial-Temporal Correlations from Geographical and Semantic Aspects for Traffic Accident Risk Forecasting

    Beibei Wang, Youfang Lin, Shengnan Guo, Huaiyu Wan

    4402-4409

    PDF
  • Reinforced Imitative Graph Representation Learning for Mobile User Profiling: An Adversarial Training Perspective

    Dongjie Wang, Pengyang Wang, Kunpeng Liu, Yuanchun Zhou, Charles E Hughes, Yanjie Fu

    4410-4417

    PDF
  • Coupling Macro-Sector-Micro Financial Indicators for Learning Stock Representations with Less Uncertainty

    Guifeng Wang, Longbing Cao, Hongke Zhao, Qi Liu, Enhong Chen

    4418-4426

    PDF
  • AttnMove: History Enhanced Trajectory Recovery via Attentional Network

    Tong Xia, Yunhan Qi, Jie Feng, Fengli Xu, Funing Sun, Diansheng Guo, Yong Li

    4494-4502

    PDF
  • Reinforcement Learning with a Disentangled Universal Value Function for Item Recommendation

    Kai Wang, Zhene Zou, Qilin Deng, Jianrong Tao, Runze Wu, Changjie Fan, Liang Chen, Peng Cui

    4427-4435

    PDF
  • Learning to Recommend from Sparse Data via Generative User Feedback

    Wenlin Wang

    4436-4444

    PDF
  • How Do We Move: Modeling Human Movement with System Dynamics

    Hua Wei, Dongkuan Xu, Junjie Liang, Zhenhui (Jessie) Li

    4445-4452

    PDF
  • Learning to Truncate Ranked Lists for Information Retrieval

    Chen Wu, Ruqing Zhang, Jiafeng Guo, Yixing Fan, Yanyan Lan, Xueqi Cheng

    4453-4461

    PDF
  • Fairness-aware News Recommendation with Decomposed Adversarial Learning

    Chuhan Wu, Fangzhao Wu, Xiting Wang, Yongfeng Huang, Xing Xie

    4462-4469

    PDF
  • Hybrid-order Stochastic Block Model

    Xunxun Wu, Chang-Dong Wang, Pengfei Jiao

    4470-4477

    PDF
  • Inductive Graph Neural Networks for Spatiotemporal Kriging

    Yuankai Wu, Dingyi Zhuang, Aurelie Labbe, Lijun Sun

    4478-4485

    PDF
  • Knowledge-Enhanced Hierarchical Graph Transformer Network for Multi-Behavior Recommendation

    Lianghao Xia, Chao Huang, Yong Xu, Peng Dai, Xiyue Zhang, Hongsheng Yang, Jian Pei, Liefeng Bo

    4486-4493

    PDF
  • Self-Supervised Hypergraph Convolutional Networks for Session-based Recommendation

    Xin Xia, Hongzhi Yin, Junliang Yu, Qinyong Wang, Lizhen Cui, Xiangliang Zhang

    4503-4511

    PDF
  • A General Offline Reinforcement Learning Framework for Interactive Recommendation

    Teng Xiao, Donglin Wang

    4512-4520

    PDF
  • Hierarchical Reinforcement Learning for Integrated Recommendation

    Ruobing Xie, Shaoliang Zhang, Rui Wang, Feng Xia, Leyu Lin

    4521-4528

    PDF
  • Out-of-Town Recommendation with Travel Intention Modeling

    Haoran Xin, Xinjiang Lu, Tong Xu, Hao Liu, Jingjing Gu, Dejing Dou, Hui Xiong

    4529-4536

    PDF
  • Towards Consumer Loan Fraud Detection: Graph Neural Networks with Role-Constrained Conditional Random Field

    Bingbing Xu, Huawei Shen, Bingjie Sun, Rong An, Qi Cao, Xueqi Cheng

    4537-4545

    PDF
  • Group Testing on a Network

    Arlei Silva, Ambuj Singh

    4348-4356

    PDF
  • A Hybrid Probabilistic Approach for Table Understanding

    Kexuan Sun, Harsha Rayudu, Jay Pujara

    4366-4374

    PDF
  • Detecting Beneficial Feature Interactions for Recommender Systems

    Yixin Su, Rui Zhang, Sarah Erfani, Zhenghua Xu

    4357-4365

    PDF
  • Knowledge-Driven Distractor Generation for Cloze-Style Multiple Choice Questions

    Siyu Ren, Kenny Q. Zhu

    4339-4347

    PDF
  • Rejection Sampling for Weighted Jaccard Similarity Revisited

    Xiaoyun Li, Ping Li

    4197-4205

    PDF
  • GraphMSE: Efficient Meta-path Selection in Semantically Aligned Feature Space for Graph Neural Networks

    Yi Li, Yilun Jin, Guojie Song, Zihao Zhu, Chuan Shi, Yiming Wang

    4206-4214

    PDF
  • Cross-Oilfield Reservoir Classification via Multi-Scale Sensor Knowledge Transfer

    Zhi Li, Zhefeng Wang, Zhicheng Wei, Xiangguang Zhou, Yijun Wang, Baoxing Huai, Qi Liu, Nicholas Jing Yuan, Renbin Gong, Enhong Chen

    4215-4223

    PDF
  • FedRec++: Lossless Federated Recommendation with Explicit Feedback

    Feng Liang, Weike Pan, Zhong Ming

    4224-4231

    PDF
  • HMS: A Hierarchical Solver with Dependency-Enhanced Understanding for Math Word Problem

    Xin Lin, Zhenya Huang, Hongke Zhao, Enhong Chen, Qi Liu, Hao Wang, Shijin Wang

    4232-4240

    PDF
  • Pre-training Context and Time Aware Location Embeddings from Spatial-Temporal Trajectories for User Next Location Prediction

    Yan Lin, Huaiyu Wan, Shengnan Guo, Youfang Lin

    4241-4248

    PDF
  • Noninvasive Self-attention for Side Information Fusion in Sequential Recommendation

    Chang Liu, Xiaoguang Li, Guohao Cai, Zhenhua Dong, Hong Zhu, Lifeng Shang

    4249-4256

    PDF
  • Visual Pivoting for (Unsupervised) Entity Alignment

    Fangyu Liu, Muhao Chen, Dan Roth, Nigel Collier

    4257-4266

    PDF
  • Learning to Pre-train Graph Neural Networks

    Yuanfu Lu, Xunqiang Jiang, Yuan Fang, Chuan Shi

    4276-4284

    PDF
  • Knowledge-Enhanced Top-K Recommendation in Poincaré Ball

    Chen Ma, Liheng Ma, Yingxue Zhang, Haolun Wu, Xue Liu, Mark Coates

    4285-4293

    PDF
  • Communicative Message Passing for Inductive Relation Reasoning

    Sijie Mai, Shuangjia Zheng, Yuedong Yang, Haifeng Hu

    4294-4302

    PDF
  • Learning Accurate and Interpretable Decision Rule Sets from Neural Networks

    Litao Qiao, Weijia Wang, Bill Lin

    4303-4311

    PDF
  • Robust Spatio-Temporal Purchase Prediction via Deep Meta Learning

    Huiling Qin, Songyu Ke, Xiaodu Yang, Haoran Xu, Xianyuan Zhan, Yu Zheng

    4312-4319

    PDF
  • U-BERT: Pre-training User Representations for Improved Recommendation

    Zhaopeng Qiu, Xian Wu, Jingyue Gao, Wei Fan

    4320-4327

    PDF
  • DocParser: Hierarchical Document Structure Parsing from Renderings

    Johannes Rausch, Octavio Martinez, Fabian Bissig, Ce Zhang, Stefan Feuerriegel

    4328-4338

    PDF
  • Relative and Absolute Location Embedding for Few-Shot Node Classification on Graph

    Zemin Liu, Yuan Fang, Chenghao Liu, Steven C.H. Hoi

    4267-4275

    PDF
  • Online Learning in Variable Feature Spaces under Incomplete Supervision

    Yi He, Xu Yuan, Sheng Chen, Xindong Wu

    4106-4114

    PDF
  • Complete Closed Time Intervals-Related Patterns Mining

    Omer David Harel, Robert Moskovitch

    4098-4105

    PDF
  • GAN Ensemble for Anomaly Detection

    Xu Han, Xiaohui Chen, Li-Ping Liu

    4090-4097

    PDF
  • Joint Air Quality and Weather Prediction Based on Multi-Adversarial Spatiotemporal Networks

    Jindong Han, Hao Liu, Hengshu Zhu, Hui Xiong, Dejing Dou

    4081-4089

    PDF
  • NeuralAC: Learning Cooperation and Competition Effects for Match Outcome Prediction

    Yin Gu, Qi Liu, Kai Zhang, Zhenya Huang, Runze Wu, Jianrong Tao

    4072-4080

    PDF
  • Exploiting Behavioral Consistence for Universal User Representation

    Jie Gu, Feng Wang, Qinghui Sun, Zhiquan Ye, Xiaoxiao Xu, Jingmin Chen, Jun Zhang

    4063-4071

    PDF
  • Neural Latent Space Model for Dynamic Networks and Temporal Knowledge Graphs

    Tony Gracious, Shubham Gupta, Arun Kanthali, Rui M. Castro, Ambedkar Dukkipati

    4054-4062

    PDF
  • Estimating the Number of Induced Subgraphs from Incomplete Data and Neighborhood Queries

    Dimitris Fotakis, Thanasis Pittas, Stratis Skoulakis

    4045-4053

    PDF
  • A Hybrid Bandit Framework for Diversified Recommendation

    Qinxu Ding, Yong Liu, Chunyan Miao, Fei Cheng, Haihong Tang

    4036-4044

    PDF
  • Graph Neural Network-Based Anomaly Detection in Multivariate Time Series

    Ailin Deng, Bryan Hooi

    4027-4035

    PDF
  • On Estimating Recommendation Evaluation Metrics under Sampling

    Ruoming Jin, Dong Li, Benjamin Mudrak, Jing Gao, Zhi Liu

    4147-4154

    PDF
  • Graph-Enhanced Multi-Task Learning of Multi-Level Transition Dynamics for Session-based Recommendation

    Chao Huang, Jiahui Chen, Lianghao Xia, Yong Xu, Peng Dai, Yanqing Chen, Liefeng Bo, Jiashu Zhao, Jimmy Xiangji Huang

    4123-4130

    PDF
  • Spatial-Temporal Fusion Graph Neural Networks for Traffic Flow Forecasting

    Mengzhang Li, Zhanxing Zhu

    4189-4196

    PDF
  • Hierarchical Negative Binomial Factorization for Recommender Systems on Implicit Feedback

    Li-Yen Kuo, Ming-Syan Chen

    4181-4188

    PDF
  • Disposable Linear Bandits for Online Recommendations

    Melda Korkut, Andrew Li

    4172-4180

    PDF
  • PREMERE: Meta-Reweighting via Self-Ensembling for Point-of-Interest Recommendation

    Minseok Kim, Hwanjun Song, Doyoung Kim, Kijung Shin, Jae-Gil Lee

    4164-4171

    PDF
  • Randomized Generation of Adversary-aware Fake Knowledge Graphs to Combat Intellectual Property Theft

    Snow Kang, Cristian Molinaro, Andrea Pugliese, V. S. Subrahmanian

    4155-4163

    PDF
  • LREN: Low-Rank Embedded Network for Sample-Free Hyperspectral Anomaly Detection

    Kai Jiang, Weiying Xie, Jie Lei, Tao Jiang, Yunsong Li

    4139-4146

    PDF
  • Anomaly Attribution with Likelihood Compensation

    Tsuyoshi Idé, Amit Dhurandhar, Jiří Navrátil, Moninder Singh, Naoki Abe

    4131-4138

    PDF
  • Knowledge-aware Coupled Graph Neural Network for Social Recommendation

    Chao Huang, Huance Xu, Yong Xu, Peng Dai, Lianghao Xia, Mengyin Lu, Liefeng Bo, Hao Xing, Xiaoping Lai, Yanfang Ye

    4115-4122

    PDF
  • Extreme k-Center Clustering

    MohammadHossein Bateni, Hossein Esfandiari, Manuela Fischer, Vahab Mirrokni

    3941-3949

    PDF
  • PASSLEAF: A Pool-bAsed Semi-Supervised LEArning Framework for Uncertain Knowledge Graph Embedding

    Zhu-Mu Chen, Mi-Yen Yeh, Tei-Wei Kuo

    4019-4026

    PDF
  • Deep Transfer Tensor Decomposition with Orthogonal Constraint for Recommender Systems

    Zhengyu Chen, Ziqing Xu, Donglin Wang

    4010-4018

    PDF
  • Towards Faster Deep Collaborative Filtering via Hierarchical Decision Networks

    Yu Chen, Sinno Jialin Pan

    4001-4009

    PDF
  • Leveraging Table Content for Zero-shot Text-to-SQL with Meta-Learning

    Yongrui Chen, Xinnan Guo, Chaojie Wang, Jian Qiu, Guilin Qi, Meng Wang, Huiying Li

    3992-4000

    PDF
  • A User-Adaptive Layer Selection Framework for Very Deep Sequential Recommender Models

    Lei Chen, Fajie Yuan, Jiaxi Yang, Xiang Ao, Chengming Li, Min Yang

    3984-3991

    PDF
  • Revisiting Consistent Hashing with Bounded Loads

    John Chen, Benjamin Coleman, Anshumali Shrivastava

    3976-3983

    PDF
  • Efficient Optimal Selection for Composited Advertising Creatives with Tree Structure

    Jin Chen, Tiezheng Ge, Gangwei Jiang, Zhiqiang Zhang, Defu Lian, Kai Zheng

    3967-3975

    PDF
  • Graph Heterogeneous Multi-Relational Recommendation

    Chong Chen, Weizhi Ma, Min Zhang, Zhaowei Wang, Xiuqiang He, Chenyang Wang, Yiqun Liu, Shaoping Ma

    3958-3966

    PDF
  • Beyond Low-frequency Information in Graph Convolutional Networks

    Deyu Bo, Xiao Wang, Chuan Shi, Huawei Shen

    3950-3957

    PDF

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