Full Stage Learning to Rank: A Unified Framework for Multi-Stage Systems
Kai Zheng, Haijun Zhao, Rui Huang, Beichuan Zhang, Na Mou, Yanan Niu, Yang Song, Hongning Wang, Kun Gai
Poster
WWW 2024 Papers
ACM Web Conference
Decision breakdown
405papers
Counted from the official paper list; may differ slightly from the number the conference announced.
- Oral18946.7%
- Poster21653.3%
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TitleTypeTopic
Unleashing the Power of Knowledge Graph for Recommendation via Invariant Learning
Shuyao Wang, Yongduo Sui, Chao Wang, Hui Xiong
Poster
More Than Routing: Joint GPS and Route Modeling for Refine Trajectory Representation Learning
Zhipeng Ma, Zheyan Tu, Xinhai Chen, Yan Zhang, Deguo Xia, Guyue Zhou, yilun chen, Yu Zheng, Jiangtao Gong
Poster
Collaborative Metapath Enhanced Corporate Default Risk Assessment on Heterogeneous Graph
Zheng Zhang, yingsheng Ji, Jiachen Shen, Yushu Chen, Xi Zhang, Guangwen Yang
Poster
Zero-shot Image Classification with Logic Adapter and Rule Prompt
Dongran Yu, Xueyan Liu, Bo Yang
Poster
Barter Exchange with Shared Item Valuations
Juan Luque, Sharmila Duppala, John P Dickerson, Aravind Srinivasan
Poster
Optimal Engagement-Diversity Tradeoffs in Social Media
Fabian Baumann, Daniel Halpern, Ariel D Procaccia, Iyad Rahwan, Itai Shapira, Manuel Wuthrich
Poster
Supervised Fine-Tuning for Unsupervised KPI Anomaly Detection for Mobile Web Systems
Zhaoyang Yu, Shenglin Zhang, Mingze Sun, Li Yingke, Zhaoyankai, Xiaolei Hua, Lin Zhu, Xidao Wen, Dan Pei
Poster
InArt: In-Network Aggregation with Route Selection for Accelerating Distributed Training
Jiawei Liu, Yutong Zhai, Gongming Zhao, Hongli XU, Jin Fang, Zhen Zeng, Ying Zhu
Poster
UniTime: A Language-Empowered Unified Model for Cross-Domain Time Series Forecasting
Xu Liu, Junfeng Hu, Yuan Li, Shizhe Diao, Yuxuan Liang, Bryan Hooi, Roger Zimmermann
Poster
Evaluating Task-Specific Node Influence via Node-Removal-Based Fast Graph Neural Network Inference
Weikai Li, Zhiping Xiao, Xiao Luo, Yizhou Sun
Poster
Deliberate Exposure to Opposing Views and its Association with Behavior and Rewards on Political Communities
Alexandros Efstratiou
Poster
GAUSS: GrAph-customized Universal Self-Supervised Learning
Liang Yang, Weixiao Hu, Jizhong Xu, Runjie Shi, Dongxiao He, Chuan Wang, Xiaochun Cao, Zhen Wang, bingxin niu, Yuanfang Guo
Poster
Efficient Noise-Decoupling for Multi-Behavior Sequential Recommendation
Yongqiang Han, Hao Wang, Kefan Wang, Likang Wu, Zhi Li, Wei Guo, Yong Liu, Defu Lian, Enhong Chen
Poster
Graph Contrastive Learning Reimagined: Exploring Universality
Jiaming Zhuo, Can Cui, Kun Fu, bingxin niu, Dongxiao He, Chuan Wang, Yuanfang Guo, Zhen Wang, Xiaochun Cao, Liang Yang
Poster
Endowing Pre-trained Graph Models with Provable Fairness
Zhongjian Zhang, Mengmei Zhang, Yue Yu, Cheng Yang, Jiawei Liu, Chuan Shi
Poster
NETEVOLVE: Social Network Forecasting using Multi-Agent Reinforcement Learning with Interpretable Features
Kentaro Miyake, Hiroyoshi Ito, Christos Faloutsos, Hirotomo Matsumoto, Atsuyuki Morishima
Poster
HaSa: Hardness and Structure-Aware Contrastive Knowledge Graph Embedding
Honggen Zhang, June Zhang, Igor Molybog
Poster
Fair Surveillance Assignment Problem
Fangxiao Wang, Bo Li
Poster
DualCL: Principled Supervised Contrastive Learning as Mutual Information Maximization for Text Classification
Junfan Chen, Richong Zhang, Yaowei Zheng, Qianben Chen, Chunming Hu, Yongyi Mao
Poster