CIKM

Publications

2023

Chenglei Shen, Xiao Zhang, Wei Wei, Jun Xu
HyperBandit: Contextual Bandit with Hypernewtork for Time-Varying User Preferences in Streaming Recommendation. CIKM (2023)
Nuoyan Lyu, Bingbing Xu, Fangda Guo, Huawei Shen
DCGNN: Dual-Channel Graph Neural Network for Social Bot Detection. CIKM (2023)
Lukas Eder, Ricardo Campos, Adam Jatowt
Contrastive Keyword Extraction from Versioned Documents. CIKM (2023)
Ce Li, Rongpei Hong, Xovee Xu, Goce Trajcevski, Fan Zhou
Simplifying Temporal Heterogeneous Network for Continuous-Time Link prediction. CIKM (2023)
Soohyun Park, Hankyul Baek, Joongheon Kim
Quantum Split Learning for Privacy-Preserving Information Management. CIKM (2023)
Zhiqing Hong, Haotian Wang, Wenjun Lyu, Hai Wang, Yunhuai Liu, Guang Wang, Tian He, Desheng Zhang
Urban-scale POI Updating with Crowd Intelligence. CIKM (2023)
Mingdai Yang, Zhiwei Liu, Liangwei Yang, Xiaolong Liu, Chen Wang, Hao Peng, Philip S. Yu
Group Identification via Transitional Hypergraph Convolution with Cross-view Self-supervised Learning. CIKM (2023)
Chen Chen, Bo He, Jing Yuan, Chunyan Hou, Xiaojie Yuan
Incorporating Constituent Syntax into Grammatical Error Correction with Multi-Task Learning. CIKM (2023)
Yile Liang, Donghui Li, Jiuxia Zhao, Xuetao Ding, Huanjia Lian, Jinghua Hao, Renqing He
Enhancing Dynamic On-demand Food Order Dispatching via Future-informed and Spatial-temporal Extended Decisions. CIKM (2023)
Vaisnavi Nemala, Phung Lai, NhatHai Phan
Differential Privacy in HyperNetworks for Personalized Federated Learning. CIKM (2023)
Ke Lu, Xiaotong He, Ze Qin, Xinyao Li, Zhekai Du
Exploring Low-Dimensional Manifolds of Deep Neural Network Parameters for Improved Model Optimization. CIKM (2023)
Zesheng Ye, Jing Du, Yao Liu, Yihong Zhang, Lina Yao
NP-SSL: A Modular and Extensible Self-supervised Learning Library with Neural Processes. CIKM (2023)
Yuan Fu, Shuncheng Liu, Yuyang Xia, Fangda Guo, Kai Zheng
Cross-Scenario Maneuver Decision with Adaptive Perception for Autonomous Driving. CIKM (2023)
Maria Heuss, Daniel Cohen, Masoud Mansoury, Maarten de Rijke, Carsten Eickhoff
Predictive Uncertainty-based Bias Mitigation in Ranking. CIKM (2023)
Pengtao Zhang, Zheng Zheng, Junlin Zhang
FiBiNet++: Reducing Model Size by Low Rank Feature Interaction Layer for CTR Prediction. CIKM (2023)
Michael Miller
Astrolabe: Visual Graph Database Queries with Tabular Output. CIKM (2023)
Nancy Tyagi, Surjodeep Sarkar, Manas Gaur
Leveraging Knowledge and Reinforcement Learning for Enhanced Reliability of Language Models. CIKM (2023)
Puxuan Yu, Razieh Rahimi, Zhiqi Huang, James Allan
Search Result Diversification Using Query Aspects as Bottlenecks. CIKM (2023)
Ruixiang Tang, Hongye Jin, Mengnan Du, Curtis Wigington, Rajiv Jain, Xia Hu
Exposing Model Theft: A Robust and Transferable Watermark for Thwarting Model Extraction Attacks. CIKM (2023)
Xiao Zhou, Ran Wang, Haorui Li, Qiang Liu, Xingxing Wang, Dong Wang
LEAD-ID: Language-Enhanced Denoising and Intent Distinguishing Graph Neural Network for Sponsored Search Broad Retrievals. CIKM (2023)
Jun Qi, Hongqing Yu, Po Yang, Yun Yang, Zhibo Pang
IoTBDH-2023: The 5th International Workshop on Internet of Things of Big Data for Healthcare. CIKM (2023)
Shreyas S, Prakash Mandayam Comar, Sivaramakrishnan Kaveri
Adversarial Density Ratio Estimation for Change Point Detection. CIKM (2023)
Zihan Yu, Guozhen Zhang, Yong Li, Depeng Jin
Understanding and Modeling Collision Avoidance Behavior for Realistic Crowd Simulation. CIKM (2023)
Zixing Song, Yuji Zhang, Irwin King
Towards Fair Financial Services for All: A Temporal GNN Approach for Individual Fairness on Transaction Networks. CIKM (2023)
Hao Yang, Ziliang Wang, Weijie Bian, Yifan Zeng
Practice on Effectively Extracting NLP Features for Click-Through Rate Prediction. CIKM (2023)
Shuang Wang, Bahaeddin Eravci, Rustam Guliyev, Hakan Ferhatosmanoglu
Low-bit Quantization for Deep Graph Neural Networks with Smoothness-aware Message Propagation. CIKM (2023)
Hang Dong, Jiaoyan Chen, Yuan He, Yinan Liu, Ian Horrocks
Reveal the Unknown: Out-of-Knowledge-Base Mention Discovery with Entity Linking. CIKM (2023)
Wei Chen, Lili Zhao, Pengfei Luo, Tong Xu, Yi Zheng, Enhong Chen
HEProto: A Hierarchical Enhancing ProtoNet based on Multi-Task Learning for Few-shot Named Entity Recognition. CIKM (2023)
Xiaobo Zhang, Yutao Liu, Hao Wang, Wei Wang, Panpan Ni, Ji Zhang
CoSaR: Combating Label Noise Using Collaborative Sample Selection and Adversarial Regularization. CIKM (2023)
Saurav Manchanda
Metapath-Guided Data-Augmentation For Knowledge Graphs. CIKM (2023)
Manas Jyoti Das, Khawar Shehzad, Praveen Rao
Efficient Variant Calling on Human Genome Sequences Using a GPU-Enabled Commodity Cluster. CIKM (2023)
Longfei Zheng, Yingting Liu, Xiaolong Xu, Chaochao Chen, Yuzhou Tang, Lei Wang, Xiaolong Hu
FedPSE: Personalized Sparsification with Element-wise Aggregation for Federated Learning. CIKM (2023)
Zewen Long, Liang Wang, Qiang Liu, Shu Wu
Personalized Interest Sustainability Modeling for Sequential POI Recommendation. CIKM (2023)
Haotian Wu, Bowen Xing, Ivor W. Tsang
MTKDN: Multi-Task Knowledge Disentanglement Network for Recommendation. CIKM (2023)
Shangqing Tu, Zheyuan Zhang, Jifan Yu, Chunyang Li, Siyu Zhang, Zijun Yao, Lei Hou, Juanzi Li
LittleMu: Deploying an Online Virtual Teaching Assistant via Heterogeneous Sources Integration and Chain of Teach Prompts. CIKM (2023)
Thu Le, Alex Deng
The Price is Right: Removing A/B Test Bias in a Marketplace of Expirable Goods. CIKM (2023)
Siwei Zhang, Yun Xiong, Yao Zhang, Yiheng Sun, Xi Chen, Yizhu Jiao, Yangyong Zhu
RDGSL: Dynamic Graph Representation Learning with Structure Learning. CIKM (2023)
Hua Yan, Hao Wang, Desheng Zhang, Yu Yang
Identifying Regional Driving Risks via Transductive Cross-City Transfer Learning Under Negative Transfer. CIKM (2023)
Qian Ma, Zijian Zhang, Xiangyu Zhao, Haoliang Li, Hongwei Zhao, Yiqi Wang, Zitao Liu, Wanyu Wang
Rethinking Sensors Modeling: Hierarchical Information Enhanced Traffic Forecasting. CIKM (2023)
Wenzhuo Cheng, Ke Ding, Xin Dong, Yong He, Liang Zhang, Linjian Mo
MI-DPG: Decomposable Parameter Generation Network Based on Mutual Information for Multi-Scenario Recommendation. CIKM (2023)
Zhihao Wen, Yuan Fang, Yihan Liu, Yang Guo, Shuji Hao
Voucher Abuse Detection with Prompt-based Fine-tuning on Graph Neural Networks. CIKM (2023)
Haozhe Hu, Yongquan Jiang, Yan Yang, Jim X. Chen
Enhanced Template-Free Reaction Prediction with Molecular Graphs and Sequence-based Data Augmentation. CIKM (2023)
Yiqiao Li, Jianlong Zhou, Yifei Dong, Niusha Shafiabady, Fang Chen
ACGAN-GNNExplainer: Auxiliary Conditional Generative Explainer for Graph Neural Networks. CIKM (2023)
Yijian Liu, Hongyi Zhang, Cheng Yang, Ao Li, Yugang Ji, Luhao Zhang, Tao Li, Jinyu Yang, Tianyu Zhao, Juan Yang, Hai Huang, Chuan Shi
Datasets and Interfaces for Benchmarking Heterogeneous Graph Neural Networks. CIKM (2023)
Heng Tan, Yukun Yuan, Shuxin Zhong, Yu Yang
Joint Rebalancing and Charging for Shared Electric Micromobility Vehicles with Energy-informed Demand. CIKM (2023)
Weronika Lajewska, Krisztian Balog
Towards Filling the Gap in Conversational Search: From Passage Retrieval to Conversational Response Generation. CIKM (2023)
Yanjun Zhao, Ziqing Ma, Tian Zhou, Mengni Ye, Liang Sun, Yi Qian
GCformer: An Efficient Solution for Accurate and Scalable Long-Term Multivariate Time Series Forecasting. CIKM (2023)
Yinqiong Cai, Keping Bi, Yixing Fan, Jiafeng Guo, Wei Chen, Xueqi Cheng
L2R: Lifelong Learning for First-stage Retrieval with Backward-Compatible Representations. CIKM (2023)
Zhenyi Wang, Huan Zhao, Fengqi Liang, Chuan Shi
Node-dependent Semantic Search over Heterogeneous Graph Neural Networks. CIKM (2023)
Amit Kumar Jaiswal, Haiming Liu
Lightweight Adaptation of Neural Language Models via Subspace Embedding. CIKM (2023)