Best Paper Nominations

Full Papers

• best paper RxNet: Rx-refill Graph Neural Network for Overprescribing Detection ‐ Jianfei Zhang (Case Western Reserve University & University of Alberta, USA), Ai-Te Kuo (Auburn University, USA), Jianan Zhao (Case Western Reserve University, USA), Qianlong Wen (Case Western Reserve University, USA), Erin Winstanley (West Virginia University, USA), Chuxu Zhang (Brandeis University, USA), Yanfang Ye (Case Western Reserve University & University of Notre Dame, USA)
• runner up Cycle or Minkowski: Which is More Appropriate for Knowledge Graph Embedding? ‐ Han Yang (Peking University, China), Leilei Zhang (Peking University, China), Bingning Wang (Sogou Inc., China), Ting Yao (Sogou Inc., China), Junfei Liu (Peking University, China)
• runner up Principled Multi-Aspect Evaluation Measures of Rankings ‐ Maria Maistro (University of Copenhagen, Denmark), Lucas Chaves Lima (University of Copenhagen, Denmark), Jakob Grue Simonsen (University of Copenhagen, Denmark), Christina Lioma (University of Copenhagen, Denmark)
• Click-Through Rate Prediction with Multi-Modal Hypergraphs ‐ Li He (University of Technology Sydney, Australia), Hongxu Chen (University of Technology Sydney, Australia), Dingxian Wang (eBay Research America, USA), Shoaib Jameel (University of Essex, United Kingdom), Philip Yu (University of Illinois at Chicago, USA), Guandong Xu (University of Technology Sydney, Australia)
• Privacy-Preserving Batch-based Task Assignment in Spatial Crowdsourcing with Untrusted Server ‐ Maocheng Li (Hong Kong University of Science and Technology, Hong Kong), Jiachuan Wang (Hong Kong University of Science and Technology, Hong Kong), Libin Zheng (Sun Yat-sen University, China), Han Wu (East China Normal University, China), Peng Cheng (East China Normal University, China), Lei Chen (Hong Kong University of Science and Technology, Hong Kong), Xuemin Lin (The University of New South Wales, Australia)

Applied Papers

• best paper AudiBERT: A Deep Transfer Learning Multimodal Classification Framework for Depression Screening ‐ Ermal Toto (Worcester Polytechnic Institute, USA), ML Tlachac (Worcester Polytechnic Institute, USA), Elke A. Rundensteiner (Worcester Polytechnic Institute, USA)
• runner up Detection of Illicit Drug Trafficking Events on Instagram: A Deep Multimodal Multilabel Learning Approach ‐ Chuanbo Hu (West Virginia University, USA), Minglei Yin (West Virginia University, USA), Bin Liu (West Virginia University, USA), Xin Li (West Virginia University, USA), Yanfang Ye (Case Western Reserve University & University of Notre Dame, USA)
• runner up Mining Software Entities in Scientific Literature: Document-level NER for an Extremely Imbalance and Large-scale Task ‐ Patrice Lopez (science-miner, France), Caifan Du (University of Texas at Austin, USA), Johanna Cohoon (University of Texas at Austin, USA), Karthik Ram (Berkeley Institute for Data Science, USA), James Howison (University of Texas at Austin, USA)
• ARGH!: Automated Rumor Generation Hub ‐ Larry Huynh (University of Western Australia, Australia), Thai Nguyen (University of Western Australia, Australia), Joshua Goh (University of Western Australia, Australia), Hyoungshick Kim (Sungkyunkwan University, Republic of Korea), Jin B. Hong (University of Western Australia, Australia)
• SAR-Net: A Scenario-Aware Ranking Network for Personalized Fair Recommendation in Hundreds of Travel Scenarios ‐ Qijie Shen (Alibaba Group, China), Wanjie Tao (Alibaba Group, China), Jing Zhang (The University of Sydney, Australia), Hong Wen (Alibaba Group, China), Zulong Chen (Alibaba Group, China), Quan Lu (Alibaba Group, China)

Short Papers

• best paper Neuron Campaign for Initialization Guided by Information Bottleneck Theory ‐ Haitao Mao (University of Electronic Science and Technology of China, China), Xu Chen (Peking University, China), Qiang Fu (Microsoft Research Asia, China), Lun Du (Microsoft Research Asia, China), Shi Han (Microsoft Research Asia, China), Dongmei Zhang (Microsoft Research Asia, China)
• runner up A Formal Analysis of Recommendation Quality of Adversarially-trained Recommenders ‐ Vito Walter Anelli (Politecnico di Bari, Italy), Yashar Deldjoo (Politecnico di Bari, Italy), Tommaso Di Noia (Politecnico di Bari, Italy), Felice Antonio Merra (Politecnico di Bari, Italy)
• Modeling Sequences as Distributions with Uncertainty for Sequential Recommendation ‐ Ziwei Fan (University of Illinois at Chicago, USA), Zhiwei Liu (University of Illinois at Chicago, USA), Shen Wang (University of Illinois at Chicago, USA), Lei Zheng (Pinterest Inc., USA), Philip S. Yu (University of Illinois at Chicago, USA)
• Learning Sparse Binary Code for Maximum Inner Product Search ‐ Changyi Ma (The Chinese University of Hong Kong, Shenzhen, China), Fangchen Yu (The Chinese University of Hong Kong, Shenzhen, China), Yueyao Yu (The Chinese University of Hong Kong, Shenzhen, China), Wenye Li (The Chinese University of Hong Kong & Shenzhen Research Institute of Big Data, China)
• Accelerating Variant Calling on Human Genomes Using a Commodity Cluster ‐ Praveen Rao (University of Missouri-Columbia, USA), Arun Zachariah (University of Missouri-Columbia, USA), Deepthi Rao (University of Missouri-Columbia, USA), Peter Tonellato (University of Missouri-Columbia, USA), Wesley Warren (University of Missouri-Columbia, USA), Eduardo Simoes (University of Missouri-Columbia, USA)
• Determining Subjective Bias in Text through Linguistically Informed Transformer based Multi-Task Network ‐ Manjira Sinha (Indian Institute of Technology Kharagpur, India), Tirthankar Dasgupta (TCS Research, India)

Resource Papers

• best paper PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models ‐ Benedek Rozemberczki (AstraZeneca, United Kingdom), Paul Scherer (University of Cambridge, United Kingdom), Yixuan He (University of Oxford, United Kingdom), George Panagopoulos (École Polytechnique, France), Alexander Riedel (Ernst-Abbe University for Applied Sciences, Germany), Maria Astefanoaei (IT University of Copenhagen Denmark, Denmark), Oliver Kiss (Central European University, Hungary), Ferenc Beres (ELKH SZTAKI, Hungary), Guzmán López (Tryolabs, Uruguay), Nicolas Collignon (Pedal Me, United Kingdom), Rik Sarkar (University of Edinburgh, United Kingdom)
• runner up DL-Traff: Survey and Benchmark of Deep Learning Models for Urban Traffic Prediction ‐ Renhe Jiang (University of Tokyo & Southern University of Science and Technology, Japan), Du Yin (Southern University of Science and Technology, China), Zhaonan Wang (University of Tokyo, Japan), Yizhuo Wang (Southern University of Science and Technology, China), Jiewen Deng (Southern University of Science and Technology, China), Hangchen Liu (Southern University of Science and Technology, China), Zekun Cai (University of Tokyo, Japan), Jinliang Deng (Southern University of Science and Technology & University of Technology Sydney, China), Xuan Song (Southern University of Science and Technology & University of Tokyo, Japan), Ryosuke Shibasaki (University of Tokyo, Japan)
• MOOCCubeX: A Large Knowledge-centered Repository for Adaptive Learning in MOOCs ‐ Jifan Yu (Tsinghua University & Tencent Inc., China), Yuquan Wang (Tsinghua University, China), Qingyang Zhong (Tsinghua University, China), Gan Luo (Tsinghua University, China), Yiming Mao (Tsinghua University, China), Kai Sun (Tsinghua University, China), Wenzheng Feng (Tsinghua University, China), Wei Xu (Tsinghua University, China), Shulin Cao (Tsinghua University, China), Kaisheng Zeng (Tsinghua University, China), Zijun Yao (Tsinghua University, China), Lei Hou (Tsinghua University & Knowledge Intelligence Research Center, Institute for Artificial Intelligence, China), Yankai Lin (Tencent Inc., China), Peng Li (Tencent Inc., China), Jie Zhou (Tencent Inc., China), Bin Xu (Tsinghua University & Knowledge Intelligence Research Center, Institute for Artificial Intelligence, China), Juanzi Li (Tsinghua University & Knowledge Intelligence Research Center, Institute for Artificial Intelligence, China), Jie Tang (Tsinghua University & Knowledge Intelligence Research Center, Institute for Artificial Intelligence, China), Maosong Sun (Tsinghua University & Knowledge Intelligence Research Center, Institute for Artificial Intelligence, China)

Demo Papers

• best paper DORA THE EXPLORER: Exploring Very Large Data With Interactive Deep Reinforcement Learning ‐ Aurélien Personnaz (CNRS, Univ. Grenoble Alpes, France), Sihem Amer-Yahia (CNRS, Univ. Grenoble Alpes, France), Laure Berti-Equille (IRD, ESPACE-DEV, France), Maximilian Fabricius (Max Planck Institute for Extraterrestrial Physics, Germany), Srividya Subramanian (Max Planck Institute for Extraterrestrial Physics, Germany)
• runner up From Community Search to Community Understanding: A Multimodal Community Query Engine ‐ Zhao Li (Alibaba Group, China), Pengcheng Zou (Alibaba Group, China), Xia Chen (Alibaba Group, China), Shichang Hu (Alibaba Group, China), Peng Zhang (Guangzhou University, China), Yumou Zhang (Alibaba Group, China), Bingsheng He (National University of Singapore, Singapore), Yuchen Li (Singapore Management University, Singapore), Xing Tang (Alibaba Group, China)
• Videolytics: System for Data Analytics of Video Streams ‐ Tomáš Skopal (Charles University, Czech Rep), Dominika Ďurišková (Charles University, Czech Rep), Petr Pechman (Charles University, Czech Rep), Marek Dobranský (Charles University, Czech Rep), Vladislav Khachaturian (Czech Technical University in Prague, Czech Rep)
• MVQAS: A Medical Visual Question Answering System ‐ Haoyue Bai (Xiamen University, China), Xiaoyan Shan (Xiamen University, China), Yefan Huang (Xiamen University, China), Xiaoli Wang (Xiamen University, China)
• DLQ: A System for Label-Constrained Reachability Queries on Dynamic Graphs ‐ You Peng (The University of New South Wale, Australia), Wenjie Zhao (The University of New South Wale, Australia), Wenjie Zhang (The University of New South Wale, Australia), Xuemin Lin (The University of New South Wale, Australia), Ying Zhang (The University of Technology Sydney, Australia)