KDD

Keyphrases

Publications

2023

Yi-Fan Zhang, Jindong Wang, Jian Liang, Zhang Zhang, Baosheng Yu, Liang Wang, Dacheng Tao, Xing Xie
Domain-Specific Risk Minimization for Domain Generalization. KDD (2023)
Xiao Lin, Xiaokai Chen, Linfeng Song, Jingwei Liu, Biao Li, Peng Jiang
Tree based Progressive Regression Model for Watch-Time Prediction in Short-video Recommendation. KDD (2023)
Yunzhe Qi, Yikun Ban, Jingrui He
Graph Neural Bandits. KDD (2023)
Shervin Malmasi, Besnik Fetahu, Eugene Agichtein, Oleg Rokhlenko, Ido Guy, Nicola Ueffing, Surya Kallumadi
The 6th Workshop on e-eommerce and NLP (ECNLP 6). KDD (2023)
Jintang Li, Ruofan Wu, Wangbin Sun, Liang Chen, Sheng Tian, Liang Zhu, Changhua Meng, Zibin Zheng, Weiqiang Wang
What's Behind the Mask: Understanding Masked Graph Modeling for Graph Autoencoders. KDD (2023)
Chao Wang, Xiaowei Shi, Shuai Xu, Zhe Wang, Zhiqiang Fan, Yan Feng, An You, Yu Chen
A Multi-stage Framework for Online Bonus Allocation Based on Constrained User Intent Detection. KDD (2023)
Jingyuan Wang, Chen Yang, Xiaohan Jiang, Junjie Wu
WHEN: A Wavelet-DTW Hybrid Attention Network for Heterogeneous Time Series Analysis. KDD (2023)
Dongxia Wu, Ruijia Niu, Matteo Chinazzi, Alessandro Vespignani, Yi-An Ma, Rose Yu
Deep Bayesian Active Learning for Accelerating Stochastic Simulation. KDD (2023)
Xuan Kan, Zimu Li, Hejie Cui, Yue Yu, Ran Xu, Shaojun Yu, Zilong Zhang, Ying Guo, Carl Yang
R-Mixup: Riemannian Mixup for Biological Networks. KDD (2023)
Lingfei Wu, Jian Pei, Jiliang Tang, Yinglong Xia, Xiaojie Guo
Deep Learning on Graphs: Methods and Applications (DLG-KDD2023). KDD (2023)
Shuchang Liu, Qingpeng Cai, Zhankui He, Bowen Sun, Julian J. McAuley, Dong Zheng, Peng Jiang, Kun Gai
Generative Flow Network for Listwise Recommendation. KDD (2023)
Wuyang Mao, Chuanren Liu, Yundu Huang, Zhonglin Zu, M. Harshvardhan, Liang Wang, Bo Zheng
End-to-End Inventory Prediction and Contract Allocation for Guaranteed Delivery Advertising. KDD (2023)
Wenying Duan, Xiaoxi He, Zimu Zhou, Lothar Thiele, Hong Rao
Localised Adaptive Spatial-Temporal Graph Neural Network. KDD (2023)
William Shiao, Uday Singh Saini, Yozen Liu, Tong Zhao, Neil Shah, Evangelos E. Papalexakis
CARL-G: Clustering-Accelerated Representation Learning on Graphs. KDD (2023)
Xuechun Li, Paula M. Bürgi, Wei Ma, Hae Young Noh, David Jay Wald, Susu Xu
DisasterNet: Causal Bayesian Networks with Normalizing Flows for Cascading Hazards Estimation from Satellite Imagery. KDD (2023)
Abhinav Anand, Surender Kumar, Nandeesh Kumar, Samir Shah
CADENCE: Offline Category Constrained and Diverse Query Generation for E-commerce Autosuggest. KDD (2023)
Jiayu Liu, Zhenya Huang, Zhiyuan Ma, Qi Liu, Enhong Chen, Tianhuang Su, Haifeng Liu
Guiding Mathematical Reasoning via Mastering Commonsense Formula Knowledge. KDD (2023)
Md. Ekramul Islam, Labib Chowdhury, Faisal Ahamed Khan, Shazzad Hossain, Md. Sourave Hossain, Mohammad Mamun Or Rashid, Nabeel Mohammed, Mohammad Ruhul Amin
SentiGOLD: A Large Bangla Gold Standard Multi-Domain Sentiment Analysis Dataset and Its Evaluation. KDD (2023)
Yan Wen, Chen Gao, Lingling Yi, Liwei Qiu, Yaqing Wang, Yong Li
Efficient and Joint Hyperparameter and Architecture Search for Collaborative Filtering. KDD (2023)
Quentin Hillebrand, Vorapong Suppakitpaisarn, Tetsuo Shibuya
Unbiased Locally Private Estimator for Polynomials of Laplacian Variables. KDD (2023)
Tingchen Fu, Xueliang Zhao, Rui Yan
Delving into Global Dialogue Structures: Structure Planning Augmented Response Selection for Multi-turn Conversations. KDD (2023)
Xiaohui Chen, Jiankai Sun, Taiqing Wang, Ruocheng Guo, Li-Ping Liu, Aonan Zhang
Graph-Based Model-Agnostic Data Subsampling for Recommendation Systems. KDD (2023)
Haoyu Geng, Runzhong Wang, Fei Wu, Junchi Yan
GAL-VNE: Solving the VNE Problem with Global Reinforcement Learning and Local One-Shot Neural Prediction. KDD (2023)
Xuewu Jiao, Weibin Li, Xinxuan Wu, Wei Hu, Miao Li, Jiang Bian, Siming Dai, Xinsheng Luo, Mingqing Hu, Zhengjie Huang, Danlei Feng, Junchao Yang, Shikun Feng, Haoyi Xiong, Dianhai Yu, Shuanglong Li, Jingzhou He, Yanjun Ma, Lin Liu
PGLBox: Multi-GPU Graph Learning Framework for Web-Scale Recommendation. KDD (2023)
Jiayan Guo, Lun Du, Xu Chen, Xiaojun Ma, Qiang Fu, Shi Han, Dongmei Zhang, Yan Zhang
On Manipulating Signals of User-Item Graph: A Jacobi Polynomial-based Graph Collaborative Filtering. KDD (2023)
Chenkang Zhang, Wanli Shi, Lei Luo, Bin Gu
Doubly Robust AUC Optimization against Noisy and Adversarial Samples. KDD (2023)
Bo Chen, Jing Zhang, Fanjin Zhang, Tianyi Han, Yuqing Cheng, Xiaoyan Li, Yuxiao Dong, Jie Tang
Web-Scale Academic Name Disambiguation: The WhoIsWho Benchmark, Leaderboard, and Toolkit. KDD (2023)
Mohannad Elhamod, Mridul Khurana, Harish Babu Manogaran, Josef C. Uyeda, Meghan A. Balk, Wasila M. Dahdul, Yasin Bakis, Henry L. Bart Jr., Paula M. Mabee, Hilmar Lapp, James P. Balhoff, Caleb Charpentier, David Carlyn, Wei-Lun Chao, Charles V. Stewart, Daniel I. Rubenstein, Tanya Y. Berger-Wolf, Anuj Karpatne
Discovering Novel Biological Traits From Images Using Phylogeny-Guided Neural Networks. KDD (2023)
Hyunsung Kim, Han-Jun Choi, Chang Jo Kim, Jinsung Yoon, Sang-Ki Ko
Ball Trajectory Inference from Multi-Agent Sports Contexts Using Set Transformer and Hierarchical Bi-LSTM. KDD (2023)
Xin Wang, Huijun Zhang, Lei Cao, Kaisheng Zeng, Qi Li, Ningyun Li, Ling Feng
Contrastive Learning of Stress-specific Word Embedding for Social Media based Stress Detection. KDD (2023)
Weiguang Han, Boyi Zhang, Qianqian Xie, Min Peng, Yanzhao Lai, Jimin Huang
Select and Trade: Towards Unified Pair Trading with Hierarchical Reinforcement Learning. KDD (2023)
Amulya Yadav, Aparna Taneja, Ayan Mukhopadhyay, Serina Chang
KDD 2023 International Workshop on Data Science for Social Good (DSSG-23). KDD (2023)
Dmitri Goldenberg, Chana Ross, Shir Meir Lador, Lin Lee Cheong, Panpan Xu, Elena Sokolova, Amit Mandelbaum, Irina Vasilinetc, Ankit Jain, Amit Weil Modlinger, Saloni Potdar
The Second Workshop on Applied Machine Learning Management. KDD (2023)
Ling Cheng, Feida Zhu, Yong Wang, Ruicheng Liang, Huiwen Liu
Evolve Path Tracer: Early Detection of Malicious Addresses in Cryptocurrency. KDD (2023)
Chunjing Xiao, Zehua Gou, Wenxin Tai, Kunpeng Zhang, Fan Zhou
Imputation-based Time-Series Anomaly Detection with Conditional Weight-Incremental Diffusion Models. KDD (2023)
Jiacheng Li, Zhankui He, Jingbo Shang, Julian J. McAuley
UCEpic: Unifying Aspect Planning and Lexical Constraints for Generating Explanations in Recommendation. KDD (2023)
Zhuoning Yuan, Dixian Zhu, Zi-Hao Qiu, Gang Li, Xuanhui Wang, Tianbao Yang
LibAUC: A Deep Learning Library for X-Risk Optimization. KDD (2023)
Xiang-Rong Sheng, Jingyue Gao, Yueyao Cheng, Siran Yang, Shuguang Han, Hongbo Deng, Yuning Jiang, Jian Xu, Bo Zheng
Joint Optimization of Ranking and Calibration with Contextualized Hybrid Model. KDD (2023)
Chuxu Zhang, Dongkuan Xu, Mojan Javaheripi, Subhabrata Mukherjee, Lingfei Wu, Yinglong Xia, Jundong Li, Meng Jiang, Yanzhi Wang
RelKD 2023: International Workshop on Resource-Efficient Learning for Knowledge Discovery. KDD (2023)
Tao Shen, Xiubo Geng, Chongyang Tao, Can Xu, Guodong Long, Kai Zhang, Daxin Jiang
UnifieR: A Unified Retriever for Large-Scale Retrieval. KDD (2023)
Ruijie Miao, Yiyao Zhang, Guanyu Qu, Kaicheng Yang, Tong Yang, Bin Cui
Hyper-USS: Answering Subset Query Over Multi-Attribute Data Stream. KDD (2023)
Hongyuan Dong, Weinan Zhang, Wanxiang Che
MetricPrompt: Prompting Model as a Relevance Metric for Few-shot Text Classification. KDD (2023)
Hanbo Zhang, Jiangxin Li, Shen Liang, Peng Wang, Themis Palpanas, Chen Wang, Wei Wang, Haoxuan Zhou, Jianwei Song, Wen Lu
Towards a Generic Framework for Mechanism-guided Deep Learning for Manufacturing Applications. KDD (2023)
Xinyang Zhang, Yury Malkov, Omar Florez, Serim Park, Brian McWilliams, Jiawei Han, Ahmed El-Kishky
TwHIN-BERT: A Socially-Enriched Pre-trained Language Model for Multilingual Tweet Representations at Twitter. KDD (2023)
Yuchen Xu, Wenfei Wu, Bohan Zhao, Tong Yang, Yikai Zhao
MimoSketch: A Framework to Mine Item Frequency on Multiple Nodes with Sketches. KDD (2023)
Yuheng Jia, Jiahao Jiang, Yongheng Wang
Semantic Dissimilarity Guided Locality Preserving Projections for Partial Label Dimensionality Reduction. KDD (2023)
Youssef Elmougy, Ling Liu
Demystifying Fraudulent Transactions and Illicit Nodes in the Bitcoin Network for Financial Forensics. KDD (2023)
Chuishi Meng, Yanhua Li, Yu Zheng, Jieping Ye, Qiang Yang, Philip S. Yu, Ouri Wolfson
The 12th International Workshop on Urban Computing. KDD (2023)
Wei-Yao Wang, Yung-Chang Huang, Tsi-Ui Ik, Wen-Chih Peng
ShuttleSet: A Human-Annotated Stroke-Level Singles Dataset for Badminton Tactical Analysis. KDD (2023)
Shuo Yu, Hongyan Xue, Xiang Ao, Feiyang Pan, Jia He, Dandan Tu, Qing He
Generating Synergistic Formulaic Alpha Collections via Reinforcement Learning. KDD (2023)