2020 IJCAI 接受论文 list 分类排列（三）
2020 IJCAI 接受论文 list 分类排列（一）
2020 IJCAI 接受论文 list 分类排列（二）
2020 IJCAI 接受论文 list 分类排列（三）
目录
Main track (Machine Learning Applications)
Main track (Multidisciplinary Topics and Applications)
Main track (Natural Language Processing)
Main track (Planning and Scheduling)
Main track (Robotics)
Main track (Uncertainty in AI)
Special track on AI for CompSust and Human well-being
Special Track on AI in FinTech
Main track (Machine Learning Applications)
- A Label Attention Model for ICD Coding from Clinical Text
Thanh Vu, Dat Quoc Nguyen, Anthony Nguyen
- Adversarial Mutual Information Learning for Network Embedding
Dongxiao He, Lu Zhai, Zhigang Li, Di Jin, Liang Yang, Yuxiao Huang, Philip S. Yu - Binary Classification from Positive Data with Skewed Confidence
Kazuhiko Shinoda, Hirotaka Kaji, Masashi Sugiyama - C3MM: Clique-Closure based Hyperlink Prediction
Govind Sharma, Prasanna Patil, M. Narasimha Murty - CDC: Classification Driven Compression for Bandwidth Efficient Edge-Cloud Collaborative Deep Learning
Yuanrui Dong, Peng Zhao, Hanqiao Yu, Cong Zhao, Shusen Yang - DeepWeave: Accelerating Job Completion Time with Deep Reinforcement Learning-based Coflow Scheduling
Penghao Sun, Zehua Guo, Junchao Wang, Junfei Li, Julong Lan, Yuxiang Hu - Generating Behavior-Diverse Game AIs with Evolutionary Multi-Objective Deep Reinforcement Learning
Ruimin Shen, Yan Zheng, Jianye Hao, Zhaopeng Meng, Yingfeng Chen, Changjie Fan, Yang Liu - HID: Hierarchical Multiscale Representation Learning for Information Diffusion
Honglu Zhou, Shuyuan Xu, Zuohui Fu, Gerard de Melo, Yongfeng Zhang, Mubbasir Kapadia - Inferring Degrees from Incomplete Networks and Nonlinear Dynamics
Chunheng Jiang, Jianxi Gao, Malik Magdon-Ismail - Inverse Reinforcement Learning for Team Sports: Valuing Actions and Players
Yudong Luo, Oliver Schulte, Pascal Poupart - Predicting Landslides Using Locally Aligned Convolutional Neural Networks
Ainaz Hajimoradlou, Gioachino Roberti, David Poole - Semi-Markov Reinforcement Learning for Stochastic Resource Collection
Sebastian Schmoll, Matthias Schubert
Main track (Multidisciplinary Topics and Applications)
- A Game Theoretic Approach For Core Resilience
Sourav Medya, Tiyani Ma, Arlei Silva, Ambuj Singh - A Two-Stage Matheuristic Algorithm for Classical Inventory Routing Problem
Zhouxing Su, Shihao Huang, Chungen Li, Zhipeng Lü - An Attention-based Model for Conversion Rate Prediction with Delayed Feedback via Post-click Calibration
Yumin Su, Liang Zhang, Quanyu Dai, Bo Zhang, Jinyao Yan, Dan Wang, Yongjun Bao, Sulong Xu, Yang He, Weipeng Yan - An Interactive Multi-Task Learning Framework for Next POI Recommendation with Uncertain Check-ins
Lu Zhang, Zhu Sun, Jie Zhang, Yu Lei, Chen Li, Ziqing Wu, Horst Kloeden, Felix Klanner - Automatic Emergency Diagnosis with Knowledge-Based Tree Decoding
Ke Wang, Xuyan Chen, Ning Chen, Ting Chen - Auxiliary Template-Enhanced Generative Compatibility Modeling
Jinhuan Liu, Xuemeng Song, Zhaochun Ren, Liqiang Nie, Zhaopeng Tu, Jun Ma - BERT-PLI: Modeling Paragraph-Level Interactions for Legal Case Retrieval
Yunqiu Shao, Jiaxin Mao, Yiqun Liu, Weizhi Ma, Ken Satoh, Min Zhang, Shaoping Ma - Community-Centric Graph Convolutional Network for Unsupervised Community Detection
Dongxiao He, Yue Song, Di Jin, Zhiyong Feng, Binbin Zhang, Zhizhi Yu, Weixiong Zhang - CooBa: Cross-project Bug Localization via Adversarial Transfer Learning
Ziye Zhu, Yun Li, Hanghang Tong, Yu Wang - Differential Privacy for Stackelberg Games
Ferdinando Fioretto, Lesia Mitridati, Pascal Van Hentenryck - Efficient Community Search over Large Directed Graph: An Augmented Index-based Approach
Yankai Chen, Jie Zhang, Yixiang Fang, Xin Cao, Irwin King - Exploiting Mutual Information for Substructure-aware Graph Representation Learning
Pengyang Wang, Yanjie Fu, Yuanchun Zhou, Kunpeng Liu, Xiaolin Li, Kien Hua - FakeSpotter: A Simple yet Robust Baseline for Spotting AI-Synthesized Fake Faces
Run Wang, Felix Juefei-Xu, Lei Ma, Xiaofei Xie, Yihao Huang, Jian Wang, Yang Liu - HyperNews: Simultaneous News Recommendation and Active-Time Prediction via a Double-Task Deep Neural Network
Rui Liu, Huilin Peng, Yong Chen, Dell Zhang - Learning Data-Driven Drug-Target-Disease Interaction via Neural Tensor Network
Huiyuan Chen, Jing Li - Learning Model with Error -- exposing the hidden model of BAYHENN
Harry W. H. Wong, Jack P. K. Ma, Donald P. H. Wong, Lucien K. L. Ng, Sherman S. M. Chow - Learning the Compositional Visual Coherence for Complementary Recommendations
Zhi Li, Bo Wu, Qi Liu, Likang Wu, Hongke Zhao, Tao Mei - Learning to Accelerate Heuristic Searching for Large-Scale Maximum Weighted b-Matching Problems in Online Advertising
Xiaotian Hao, Junqi Jin, Jianye Hao, Jin Li, Weixun Wang, Yi Ma, Zhenzhe Zheng, Han Li, Jian Xu, Kun Gai - MLS3RDUH: Deep Unsupervised Hashing via Manifold based Local Semantic Similarity Structure Reconstructing
Rong-Cheng Tu, Xian-Ling Mao, Wei Wei - Modeling Perception Errors towards Robust Decision Making in Autonomous Vehicles
Andrea Piazzoni, Jim Cherian, Martin Slavik, Justin Dauwels - Optimal Policy for Deployment of Machine Learning Models on Energy-Bounded Systems
Seyed Iman Mirzadeh, Hassan Ghasemzadeh - Pivot-based Maximal Biclique Enumeration
Aman Abidi, Rui Zhou, Lu Chen, Chengfei Liu - The Graph-based Mutual Attentive Network for Automatic Diagnosis
Quan Yuan, Jun Chen, Chao Lu, Haifeng Huang - Towards Alleviating Traffic Congestion: Optimal Route Planning for Massive-Scale Trips
Ke Li, Lisi Chen, Shuo Shang - Why We Go Where We Go: Profiling User Decisions on Choosing POIs
Renjun Hu, Xinjiang Lu, Chuanren Liu, Yanyan Li, Hao Liu, Jingjing Gu, Shuai Ma, Hui Xiong
Main track (Natural Language Processing)
- A De Novo Divide-and-Merge Paradigm for Acoustic Model Optimization in Automatic Speech Recognition
Conghui Tan, Di Jiang, Jinhua Peng, Xueyang Wu, Qian Xu, Qiang Yang - A Relation-Specific Attention Network for Joint Entity and Relation Extraction
Yue Yuan, Xiaofei Zhou, Shirui Pan, Qiannan Zhu, Zeliang Song, Li Guo - A Structured Latent Variable Recurrent Network with Stochastic Attention for Generating Weibo Comments
Shijie Yang, Liang Li, Shuhui Wang, Weigang Zhang, Qingming Huang, Qi Tian - Alleviate Dataset Shift Problem in Fine-grained Entity Typing with Virtual Adversarial Training
Haochen Shi, Siliang Tang, Xiaotao Gu, Bo Chen, Zhigang Chen, Jian Shao, Xiang Ren - An Iterative Multi-Source Mutual Knowledge Transfer Framework for Machine Reading Comprehension
Xin Liu, Kai Liu, Xiang Li, Jinsong Su, Yubin Ge, Bin Wang, Jiebo Luo - Answer Generation through Unified Memories over Multiple Passages
Makoto Nakatsuji, Sohei Okui - Asking Effective and Diverse Questions: A Machine Reading Comprehension based Framework for Joint Entity-Relation Extraction
Tianyang Zhao, Zhao Yan, Yunbo Cao, Zhoujun Li - Attention as Relation: Learning Supervised Multi-head Self-Attention for Relation Extraction
Jie Liu, Shaowei Chen, Bingquan Wang, Jiaxin Zhang, Na Li, Tong Xu - Attention-based Multi-level Feature Fusion for Named Entity Recognition
Zhiwei Yang, Hechang Chen, Jiawei Zhang, Jing Ma, Yi Chang - Better AMR-To-Text Generation with Graph Structure Reconstruction
Tianming Wang, Xiaojun Wan, Shaowei Yao - CoSDA-ML: Multi-Lingual Code-Switching Data Augmentation for Zero-Shot Cross-Lingual NLP
Libo Qin, Minheng Ni, Yue Zhang, Wanxiang Che - Dataless Short Text Classification Based on Biterm Topic Model and Word Embeddings
Yi Yang, Hongan Wang, Jiaqi Zhu, Yunkun Wu, Kailong Jiang, Wenli Guo, Wandong Shi - Dialogue State Induction Using Neural Latent Variable Models
Qingkai Min, Libo Qin, Zhiyang Teng, Xiao Liu, Yue Zhang - Domain Adaptation for Semantic Parsing
Zechang Li, Yuxuan Lai, Yansong Feng, Dongyan Zhao - Efficient Context-Aware Neural Machine Translation with Layer-Wise Weighting and Input-Aware Gating
Hongfei Xu, Deyi Xiong, Josef van Genabith, Qiuhui Liu - EmoElicitor: An Open Domain Response Generation Model with User Emotional Reaction Awareness
Shifeng Li, Shi Feng, Daling Wang, Kaisong Song, Yifei Zhang, Weichao Wang - End-to-End Transition-Based Online Dialogue Disentanglement
Hui Liu, Zhan Shi, Jia-Chen Gu, Quan Liu, Si Wei, Xiaodan Zhu - Enhancing Dialog Coherence with Event Graph Grounded Content Planning
Jun Xu, Zeyang Lei, Haifeng Wang, Zheng-Yu Niu, Hua Wu, Wanxiang Che - ERNIE-GEN: An Enhanced Multi-Flow Pre-training and Fine-tuning Framework for Natural Language Generation
Dongling Xiao, Han Zhang, Yukun Li, Yu Sun, Hao Tian, Hua Wu, Haifeng Wang - Evaluating Natural Language Generation via Unbalanced Optimal Transport
Yimeng Chen, Yanyan Lan, Ruinbin Xiong, Liang Pang, Zhiming Ma, Xueqi Cheng - Exemplar Guided Neural Dialogue Generation
Hengyi Cai, Hongshen Chen, Yonghao Song, Xiaofang Zhao, Dawei Yin - Exploring Bilingual Parallel Corpora for Syntactically Controllable Paraphrase Generation
Mingtong Liu, Erguang Yang, Deyi Xiong, Yujie Zhang, Chen Sheng, Changjian Hu, Jinan Xu, Yufeng Chen - Fast and Accurate Neural CRF Constituency Parsing
Yu Zhang, Houquan Zhou, Zhenghua Li - Formal Query Building with Query Structure Prediction for Complex Question Answering over Knowledge Base
Yongrui Chen, Huiying Li, Yuncheng Hua, Guilin Qi - Gated POS-Level Language Model for Authorship Verification
Linshu Ouyang, Yongzheng Zhang, Hui Liu, Yige Chen, Yipeng Wang - Gaussian Embedding of Linked Documents from a Pretrained Semantic Space
Antoine Gourru, Julien Velcin, Julien Jacques - Generalized Zero-Shot Text Classification for ICD Coding
Congzheng Song, Shanghang Zhang, Najmeh Sadoughi, Pengtao Xie, Eric Xing - Generating Reasonable Legal Text through the Combination of Language Modeling and Question Answering
Weijing Huang, Xianfeng Liao, Zhiqiang Xie, Jiang Qian, Bojin Zhuang, Shaojun Wang, Jing Xiao - Global Structure and Local Semantics-Preserved Embeddings for Entity Alignment
Hao Nie, Xianpei Han, Le Sun, Chi Man Wong, Qiang Chen, Suhui Wu, Wei Zhang - Guided Generation of Cause and Effect
Zhongyang Li, Xiao Ding, Ting Liu, J. Edward Hu, Benjamin Van Durme - Hierarchical Linear Disentanglement of Data-Driven Conceptual Spaces
Rana Alshaikh, Zied Bouraoui, Steven Schockaert - Hierarchical Matching Network for Heterogeneous Entity Resolution
Cheng Fu, Xianpei Han, Jiaming He, Le Sun - Hierarchical Multi-task Learning for Organization Evaluation of Argumentative Student Essays
Wei Song, Ziyao Song, Lizhen Liu, Ruiji Fu - How Far are We from Effective Context Modeling? An Exploratory Study on Semantic Parsing in Context
Qian Liu, Bei Chen, Jiaqi Guo, Jian-Guang Lou, Bin Zhou, Dongmei Zhang - Hype-HAN: Hyperbolic Hierarchical Attention Network for Semantic Embedding
Chengkun Zhang, Junbin Gao - Infobox-to-text Generation with Tree-like Planning based Attention Network
Yang Bai, Ziran Li, Ning Ding, Ying Shen, Hai-Tao Zheng - Joint Time-Frequency and Time Domain Learning for Speech Enhancement
Chuanxin Tang, Chong Luo, Zhiyuan Zhao, Wenxuan Xie, Wenjun Zeng - Knowledge Enhanced Event Causality Identification with Mention Masking Generalizations
Jian Liu, Yubo Chen, Jun Zhao - Knowledge Graphs Enhanced Neural Machine Translation
Yang Zhao, Jiajun Zhang, Yu Zhou, Chengqing Zong - Learning Latent Forests for Medical Relation Extraction
Zhijiang Guo, Guoshun Nan, Wei LU, Shay B. Cohen - Learning with Noise: Improving Distantly-Supervised Fine-grained Entity Typing via Automatic Relabeling
Haoyu Zhang, Dingkun Long, Guangwei Xu, Muhua Zhu, Pengjun Xie, Fei Huang, Ji Wang - Leveraging Document-Level Label Consistency for Named Entity Recognition
Tao Gui, Jiacheng Ye, Qi Zhang, Yaqian Zhou, Yeyun Gong, Xuanjing Huang - Lexical-Constraint-Aware Neural Machine Translation via Data Augmentation
Guanhua Chen, Yun Chen, Yong Wang, Victor O.K. Li - LogiQA: A Challenge Dataset for Machine Reading Comprehension with Logical Reasoning
Jian Liu, Leyang Cui, Hanmeng Liu, Dandan Huang, Yile Wang, Yue Zhang - Modeling Dense Cross-Modal Interactions for Joint Entity-Relation Extraction
Shan Zhao, Minghao Hu, Zhiping Cai, Fang Liu - Modeling Topical Relevance for Multi-Turn Dialogue Generation
Hainan Zhang, Yanyan Lan, Liang Pang, Hongshen Chen, Zhuoye Ding, Dawei Yin - Modeling Voting for System Combination in Machine Translation
Xuancheng Huang, Jiacheng Zhang, Zhixing Tan, Derek F. Wong, Huanbo Luan, Jingfang Xu, Maosong Sun, Yang Liu - MuLaN: Multilingual Label propagatioN for Word Sense Disambiguation
Edoardo Barba, Luigi Procopio, Niccolò Campolungo, Tommaso Pasini, Roberto Navigli - Multi-hop Reading Comprehension across Documents with Path-based Graph Convolutional Network
Zeyun Tang, Yongliang Shen, Xinyin Ma, Wei Xu, Jiale Yu, Weiming Lu - Neural Abstractive Summarization with Structural Attention
Tanya Chowdhury, Sachin Kumar, Tanmoy Chakraborty - Neural Machine Translation with Error Correction
Kaitao Song, Xu Tan, Jianfeng Lu - On the Importance of Word and Sentence Representation Learning in Implicit Discourse Relation Classification
Xin Liu, Jiefu Ou, Yangqiu Song, Xin Jiang - RECPARSER: A Recursive Semantic Parsing Framework for Text-to-SQL Task
Yu Zeng, Yan Gao, Jiaqi Guo, Bei Chen, Qian Liu, Jian-Guang Lou, Fei Teng, Dongmei Zhang - Retrieve, Program, Repeat: Complex Knowledge Base Question Answering via Alternate Meta-learning
Yuncheng Hua, Yuan-Fang Li, Gholamreza Haffari, Guilin Qi, Wei Wu - Robust Front-End for Multi-Channel ASR using Flow-Based Density Estimation
Hyeongju Kim, Hyeonseung Lee, Woo Hyun Kang, Hyung Yong Kim, Nam Soo Kim - Task-Level Curriculum Learning for Non-Autoregressive Neural Machine Translation
Jinglin Liu, Yi Ren, Xu Tan, Chen Zhang, Tao Qin, Zhou Zhao, Tie-Yan Liu - Teacher-Student Networks with Multiple Decoders for Solving Math Word Problem
Jipeng Zhang, Roy Ka-Wei Lee, Ee-Peng Lim, Wei Qin, Lei Wang, Jie Shao, Qianru Sun - Text Style Transfer via Learning Style Instance Supported Latent Space
Xiaoyuan Yi, Zhenghao Liu, Wenhao Li, Maosong Sun - TopicKA: Generating Commonsense Knowledge-Aware Dialogue Responses Towards the Recommended Topic Fact
Sixing Wu, Ying Li, Dawei Zhang, Yang Zhou, Zhonghai Wu - Towards Fully 8-bit Integer Inference for the Transformer Model
Ye Lin, Yanyang Li, Tengbo Liu, Tong Xiao, Tongran Liu, Jingbo Zhu - Towards Making the Most of Context in Neural Machine Translation
Zaixiang Zheng, Xiang Yue, Shujian Huang, Jiajun Chen, Alexandra Birch - Transformers as Soft Reasoners over Language
Peter Clark, Oyvind Tafjord, Kyle Richardson - TransOMCS: From Linguistic Graphs to Commonsense Knowledge
Hongming Zhang, Daniel Khashabi, Yangqiu Song, Dan Roth - Triple-to-Text Generation with an Anchor-to-Prototype Framework
Ziran Li, Zibo Lin, Ning Ding, Hai-Tao Zheng, Ying Shen - Two-Phase Hypergraph Based Reasoning with Dynamic Relations for Multi-Hop KBQA
Jiale Han, Bo Cheng, Xu Wang - UniTrans : Unifying Model Transfer and Data Transfer for Cross-Lingual Named Entity Recognition with Unlabeled Data
Qianhui Wu, Zijia Lin, Börje F. Karlsson, Biqing Huang, Jian-Guang Lou - Unsupervised Domain Adaptation of a Pretrained Cross-Lingual Language Model
Juntao Li, Ruidan He, Hai Ye, Hwee Tou Ng, Lidong Bing, Rui Yan - Unsupervised Multilingual Alignment using Wasserstein Barycenter
Xin Lian, Kshitij Jain, Jakub Truszkowski, Pascal Poupart, Yaoliang Yu
Main track (Planning and Scheduling)
- A Unified Model for the Two-stage Offline-then-Online Resource Allocation
Yifan Xu, Pan Xu, Jianping Pan, Jun Tao - Boundary Extension Features for Width-Based Planning with Simulators on Continuous-State Domains
Florent Teichteil-Königsbuch, Miquel Ramirez, Nir Lipovetzky - Cost-Partitioned Merge-and-Shrink Heuristics for Optimal Classical Planning
Silvan Sievers, Florian Pommerening, Thomas Keller, Malte Helmert - Decidability Results in First-Order Epistemic Planning
Andrés Occhipinti Liberman, Rasmus Kræmmer Rendsvig - Delete- and Ordering-Relaxation Heuristics for HTN Planning
Daniel Höller, Pascal Bercher, Gregor Behnke - DualSMC: Tunneling Differentiable Filtering and Planning under Continuous POMDPs
Yunbo Wang, Bo Liu, Jiajun Wu, Yuke Zhu, Simon S. Du, Li Fei-Fei, Joshua B. Tenenbaum - Front-to-Front Heuristic Search for Satisficing Classical Planning
Ryo Kuroiwa, Alex Fukunaga - Iterative-Deepening Conflict-Based Search
Eli Boyarski, Ariel Felner, Daniel Harabor, Peter J. Stuckey, Liron Cohen, Jiaoyang Li, Sven Koenig - Multi-Directional Heuristic Search
Dor Atzmon, Jiaoyang Li, Ariel Felner, Eliran Nachmani, Shahaf S. Shperberg, Nathan R. Sturtevant, Sven Koenig - Multi-Robot Adversarial Patrolling Strategies via Lattice Paths
Jan Buermann, Jie Zhang - Online Revenue Maximization for Server Pricing
Shant Boodaghians, Federico Fusco, Stefano Leonardi, Yishay Mansour, Ruta Mehta - Optimal Planning Modulo Theories
Francesco Leofante, Enrico Giunchiglia, Erika Ábráham, Armando Tacchella - Optimising Partial-Order Plans Via Action Reinstantiation
Max Waters, Lin Padgham, Sebastian Sardina - Plan-Space Explanation via Plan-Property Dependencies: Faster Algorithms & More Powerful Properties
Rebecca Eifler, Marcel Steinmetz, Álvaro Torralba, Joerg Hoffmann - Robust Policy Synthesis for Uncertain POMDPs via Convex Optimization
Marnix Suilen, Nils Jansen, Murat Cubuktepe, Ufuk Topcu - Robustness Computation of Dynamic Controllability in Probabilistic Temporal Networks with Ordinary Distributions
Michael Saint-Guillain, Tiago Stegun Vaquero, Jagriti Agrawal, Steve Chien - Sparse Tree Search Optimality Guarantees in POMDPs with Continuous Observation Spaces
Michael H. Lim, Claire Tomlin, Zachary N. Sunberg - Steady-State Policy Synthesis in Multichain Markov Decision Processes
George Atia, Andre Beckus, Ismail Alkhouri, Alvaro Velasquez - Trade the System Efficiency for the Income Equality of Drivers in Rideshare
Yifan Xu, Pan Xu - Trading Plan Cost for Timeliness in Situated Temporal Planning
Shahaf S. Shperberg, Andrew Coles, Erez Karpas, Eyal Shimony, Wheeler Ruml - Verifiable RNN-Based Policies for POMDPs Under Temporal Logic Constraints
Steven Carr, Nils Jansen, Ufuk Topcu
Main track (Robotics)
- Crowd-Steer: Realtime Smooth and Collision-Free Robot Navigation in Densely Crowded Scenarios Trained using High-Fidelity Simulation
Jing Liang, Utsav Patel, Adarsh Jagan Sathyamoorthy, Dinesh Manocha - Euclidean Pathfinding with Compressed Path Databases
Bojie Shen, Muhammad Aamir Cheema, Daniel Harabor, Peter J. Stuckey
Main track (Uncertainty in AI)
- A Complete Characterization of Projectivity for Statistical Relational Models
Manfred Jaeger, Oliver Schulte - Approximate Weighted First-Order Model Counting: Exploiting Fast Approximate Model Counters and Symmetry
Timothy van Bremen, Ondrej Kuzelka - Efficient and Robust High-Dimensional Linear Contextual Bandits
Cheng Chen, Luo Luo, Weinan Zhang, Yong Yu, Yijiang Lian - Learning Bayesian Networks Under Sparsity Constraints: A Parameterized Complexity Analysis
Niels Grüttemeier, Christian Komusiewicz - Lifted Hybrid Variational Inference
Yuqiao Chen, Yibo Yang, Sriraam Natarajan, Nicholas Ruozzi - Neural Belief Reasoner
Haifeng Qian - Scaling Up AND/OR Abstraction Sampling
Kalev Kask, Bobak Pezeshki, Filjor Broka, Alexander Ihler, Rina Dechter - State Variable Effects in Graphical Event Models
Debarun Bhattacharjya, Dharmashankar Subramanian, Tian Gao
Special track on AI for CompSust and Human well-being
- Fighting Wildfires under Uncertainty - A Sequential Resource Allocation Approach
Hau Chan, Long Tran-Thanh, Vignesh Viswanathan - Adversarial Graph Embeddings for Fair Influence Maximization over Social Networks
Moein Khajehnejad, Ahmad Asgharian Rezaei, Mahmoudreza Babaei, Jessica Hoffmann, Mahdi Jalili, Adrian Weller - Optimal and Non-Discriminative Rehabilitation Program Design for Opioid Addiction Among Homeless Youth
Amulya Yadav, Roopali Singh, Nikolas Siapoutis, Anamika Barman-Adhikari, Yu Liang - Improving Tandem Mass Spectra Analysis with Hierarchical Learning
Zhengcong Fei - Real-Time Dispatching of Large-Scale Ride-Sharing Systems: Integrating Optimization, Machine Learning, and Model Predictive Control
Connor Riley, Pascal van Hentenryck, Enpeng Yuan - Cross-Interaction Hierarchical Attention Networks for Urban Anomaly Prediction
Chao Huang, Chuxu Zhang, Peng Dai, Liefeng Bo - Forecasting Avian Migration Patterns using a Deep Bidirectional RNN Augmented with an Auxiliary Task
Kehinde Owoeye - Multi-View Joint Graph Representation Learning for Urban Region Embedding
Mingyang Zhang, Tong Li, Yong Li, Pan Hui - An Exact Single-Agent Task Selection Algorithm for the Crowdsourced Logistics
Chung-Kyun Han, Shih-Fen Cheng - Bridging Cross-Tasks Gap for Cognitive Assessment via Fine-Grained Domain Adaptation
Yingwei Zhang, Yiqiang Chen, Hanchao Yu, Zeping Lv, Qing Li, Xiaodong Yang - Who Am I?: Towards Social Self-Awareness for Intelligent Agents
Budhitama Subagdja, Han Yi Tay, Ah-Hwee Tan - A Novel Spatio-Temporal Multi-Task Approach for the Prediction of Diabetes-Related Complication: a Cardiopathy Case of Study
Luca Romeo, Giuseppe Armentano, Antonio Nicolucci, Marco Vespasiani, Giacomo Vespasiani, Emanuele Frontoni - Disentangled Variational Autoencoder based Multi-Label Classification with Covariance-Aware Multivariate Probit Model
Junwen Bai, Shufeng Kong, Carla Gomes - Deep Hurdle Networks for Zero-Inflated Multi-Target Regression: Application to Multiple Species Abundance Estimation
Shufeng Kong, Junwen Bai, Jae Hee Lee, Di Chen, Andrew Allyn, Michelle Stuart, Malin Pinsky, Katherine Mills, Carla Gomes - Embedding Conjugate Gradient in Learning Random Walks for Landscape Connectivity Modeling in Conservation
Pramith Devulapalli, Bistra Dilkina, Yexiang Xue - Generating Interpretable Poverty Maps using Object Detection in Satellite Images
Kumar Ayush, Burak Uzkent, Marshall Burke, David Lobell, Stefano Ermon - PewLSTM: Periodic LSTM with Weather-Aware Gating Mechanism for Parking Behavior Prediction
Feng Zhang, Ningxuan Feng, Yani Liu, Cheng Yang, Jidong Zhai, Shuhao Zhang, Bingsheng He, Jiazao Lin, Xiaoyong Du - Discrete Biorthogonal Wavelet Transform Based Convolutional Neural Network for Atrial Fibrillation Diagnosis from Electrocardiogram
Qingsong Xie, Shikui Tu, Guoxing Wang, Yong Lian, Lei Xu - Harnessing Code Switching to Transcend the Linguistic Barrier
Ashiqur R. KhudaBukhsh, Shriphani Palakodety, Jaime G. Carbonell
Special Track on AI in FinTech
- BitcoinHeist: Topological Data Analysis for Ransomware Prediction on the Bitcoin Blockchain
Cuneyt G. Akcora, Yitao Li, Yulia R. Gel, Murat Kantarcioglu - Federated Meta-Learning for Fraudulent Credit Card Detection
Wenbo Zheng, Lan Yan, Chao Gou, Fei-Yue Wang - The Behavioral Sign of Account Theft: Realizing Online Payment Fraud Alert
Cheng WANG - SEBF: A Single-Chain based Extension Model of Blockchain for Fintech
Yimu Ji, Weiheng Gu, Fei Chen, Xiaoying Xiao, Jing Sun, Shangdong Liu, Jing He, Yunyao Li, Kaixiang Zhang, Fen Mei, Fei Wu - Deep Semantic Compliance Advisor for Unstructured Document Compliance Checking
Honglei Guo, Bang An, Zhili Guo, Zhong Su - Market Manipulation: An Adversarial Learning Framework for Detection and Evasion
Xintong Wang, Michael P. Wellman - Financial Risk Analysis for SMEs with Graph-based Supply Chain Mining
Shuo Yang, Zhiqiang Zhang, Jun Zhou, Yang Wang, Wang Sun, Xingyu Zhong, Yanming Fang, Quan Yu, Yuan Qi - Phishing Scam Detection on Ethereum: Towards Financial Security for Blockchain Ecosystem
Weili Chen, Xiongfeng Guo, Zhiguang Chen, Zibin Zheng, Yutong Lu - A Two-level Reinforcement Learning Algorithm for Ambiguous Mean-variance Portfolio Selection Problem
Xin Huang, Duan Li - Data-Driven Market-Making via Model-Free Learning
Yueyang Zhong, YeeMan Bergstrom, Amy Ward - Financial Thought Experiment: A GAN-based Approach to Vast Robust Portfolio Selection
Chi Seng Pun, Lei Wang, Hoi Ying Wong - MAPS: Multi-Agent reinforcement learning-based Portfolio management System.
Jinho Lee, Raehyun Kim, Seok-Won Yi, Jaewoo Kang - Modeling the Stock Relation with Graph Network for Overnight Stock Movement Prediction
Wei Li, Ruihan Bao, Keiko Harimoto, Deli Chen, Jingjing Xu, Qi Su - Online Portfolio Selection with Cardinality Constraint and Transaction Costs based on Contextual Bandit
Mengying Zhu, Xiaolin Zheng, Yan Wang, Qianqiao Liang, Wenfang Zhang - RM-CVaR: Regularized Multiple β-CVaR Portfolio
Kei Nakagawa, Shuhei Noma, Masaya Abe - Vector Autoregressive Weighting Reversion Strategy for Online Portfolio Selection
Xia Cai - ``The Squawk Bot'': Joint Learning of Time Series and Text Data Modalities for Automated Financial Information Filtering
Xuan-Hong Dang, Syed Yousaf Shah, Petros Zerfos - A Quantum-inspired Entropic Kernel for Multiple Financial Time Series Analysis
Lu Bai, Lixin Cui, Yue Wang, Yuhang Jiao, Edwin R. Hancock - A Unified Model for Financial Event Classification, Detection and Summarization
Quanzhi Li, Qiong Zhang - An End-to-End Optimal Trade Execution Framework based on Proximal Policy Optimization
Siyu Lin, Peter A. Beling - F-HMTC: Detecting Financial Events for Investment Decisions Based on Neural Hierarchical Multi-Label Text Classification
Xin Liang, Dawei Cheng, Fangzhou Yang, Yifeng Luo, Weining Qian, Aoying Zhou - Financial Risk Prediction with Multi-Round Q&A Attention Network
Zhen Ye, Yu Qin, Wei Xu - FinBERT: A Pre-trained Financial Language Representation Model for Financial Text Mining
Zhuang Liu, Degen Huang, Kaiyu Huang, Zhuang Li, Jun Zhao - Hierarchical Multi-Scale Gaussian Transformer for Stock Movement Prediction
Qianggang Ding, Sifan Wu, Hao Sun, Jiadong Guo, Jian Guo - IGNITE: A Minimax Game Toward Learning Individual Treatment Effects from Networked Observational Data
Ruocheng Guo, Jundong Li, Yichuan Li, K. Selçuk Candan, Adrienne Raglin, Huan Liu - Infochain: A Decentralized, Trustless and Transparent Oracle on Blockchain
Naman Goel, Cyril van Schreven, Aris Filos-Ratsikas, Boi Faltings - Interpretable Multimodal Learning for Intelligent Regulation in Online Payment Systems
Shuoyao Wang, Diwei Zhu - Multi-scale Two-way Deep Neural Network for Stock Trend Prediction
Guang Liu, Yuzhao Mao, Qi Sun, Hailong Huang, Weiguo Gao, Xuan Li, Jianping Shen, Ruifan Li, Xiaojie Wang - Relation-Aware Transformer for Portfolio Policy Learning
Ke Xu, Yifan Zhang, Deheng Ye, Peilin Zhao, Mingkui Tan - Risk Guarantee Prediction in Networked-Loans
Dawei Cheng, Xiaoyang Wang, Ying Zhang, Liqing Zhang - Risk-Averse Trust Region Optimization for Reward-Volatility Reduction
Lorenzo Bisi, Luca Sabbioni, Edoardo Vittori, Matteo Papini, Marcello Restelli - Robust Market Making via Adversarial Reinforcement Learning
Thomas Spooner, Rahul Savani - Task-Based Learning via Task-Oriented Prediction Network with Applications in Finance
Di Chen, Yada Zhu, Xiaodong Cui, Carla Gomes - Two-stage Behavior Cloning for Spoken Dialogue System in Debt Collection
Zihao Wang, Jia Liu, Hengbin Cui, Chunxiang Jin, Minghui Yang, Yafang Wang, Xiaolong Li, Renxin Mao - WATTNet: Learning to Trade FX via Hierarchical Spatio-Temporal Representation of Highly Multivariate Time Series
Michael Poli, Jinkyoo Park, Ilija Ilievski