Hao Ding - RankMe

24 papers A* 7A 5Journal 12

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	DINOv2-powered Few-Shot Semantic Segmentation: A Unified Framework via Cross-Model Distillation and 4D Correlation Mining. CoRR Wei Zhuo, Zhiyue Tang, Wufeng Xue, Hao Ding, Linlin Shen
2025	J	`jnl`	Lossless Token Sequence Compression via Meta-Tokens. CoRR John Harvill, Ziwei Fan, Hao Wang, Yizhou Sun, Hao Ding, Luke Huan, Anoop Deoras
2024	A	`conf`	Logic-Scaffolding: Personalized Aspect-Instructed Recommendation Explanation Generation using LLMs. WSDM Behnam Rahdari, Hao Ding, Ziwei Fan, Yifei Ma, Zhuotong Chen, Anoop Deoras, Branislav Kveton
2024	A	`conf`	Pre-trained Recommender Systems: A Causal Debiasing Perspective. WSDM Ziqian Lin, Hao Ding, Trong Nghia Hoang, Branislav Kveton, Anoop Deoras, Hao Wang
2024	A*	`conf`	Reasoning and Planning with Large Language Models in Code Development. KDD Hao Ding, Ziwei Fan, Ingo Gühring, Gaurav Gupta, Wooseok Ha, Jun Huan, Linbo Liu, Behrooz Omidvar-Tehrani, Shiqi Wang, Hao Zhou
2023	J	`jnl`	Logic-Scaffolding: Personalized Aspect-Instructed Recommendation Explanation Generation using LLMs. CoRR Behnam Rahdari, Hao Ding, Ziwei Fan, Yifei Ma, Zhuotong Chen, Anoop Deoras, Branislav Kveton
2023	J	`jnl`	Personalized Federated Domain Adaptation for Item-to-Item Recommendation. CoRR Ziwei Fan, Hao Ding, Anoop Deoras, Trong Nghia Hoang
2023	A	`conf`	Personalized federated domain adaptation for item-to-item recommendation. UAI Ziwei Fan, Hao Ding, Anoop Deoras, Trong Nghia Hoang
2023	J	`jnl`	Pre-trained Recommender Systems: A Causal Debiasing Perspective. CoRR Ziqian Lin, Hao Ding, Nghia Hoang, Branislav Kveton, Anoop Deoras, Hao Wang
2023	A	`conf`	Trending Now: Modeling Trend Recommendations. RecSys Hao Ding, Branislav Kveton, Yifei Ma, Youngsuk Park, Venkataramana Kini, Yupeng Gu, Ravi Divvela, Fei Wang, Anoop Deoras, Hao Wang
2022	A*	`conf`	Context Uncertainty in Contextual Bandits with Applications to Recommender Systems. AAAI Hao Wang, Yifei Ma, Hao Ding, Yuyang Wang
2022	J	`jnl`	Context Uncertainty in Contextual Bandits with Applications to Recommender Systems. CoRR Hao Wang, Yifei Ma, Hao Ding, Yuyang Wang
2021	J	`jnl`	Zero-Shot Recommender Systems. CoRR Hao Ding, Yifei Ma, Anoop Deoras, Yuyang Wang, Hao Wang
2020	A*	`conf`	Learning-Based Efficient Graph Similarity Computation via Multi-Scale Convolutional Set Matching. AAAI Yunsheng Bai, Hao Ding, Ken Gu, Yizhou Sun, Wei Wang
2020	A*	`conf`	Temporal-Contextual Recommendation in Real-Time. KDD Yifei Ma, Balakrishnan (Murali) Narayanaswamy, Haibin Lin, Hao Ding
2019	A	`conf`	SimGNN: A Neural Network Approach to Fast Graph Similarity Computation. WSDM Yunsheng Bai, Hao Ding, Song Bian, Ting Chen, Yizhou Sun, Wei Wang
2019	A*	`conf`	Unsupervised Inductive Graph-Level Representation Learning via Graph-Graph Proximity. IJCAI Yunsheng Bai, Hao Ding, Yang Qiao, Agustin Marinovic, Ken Gu, Ting Chen, Yizhou Sun, Wei Wang
2019	J	`jnl`	Unsupervised Inductive Whole-Graph Embedding by Preserving Graph Proximity. CoRR Yunsheng Bai, Hao Ding, Yang Qiao, Agustin Marinovic, Ken Gu, Ting Chen, Yizhou Sun, Wei Wang
2018	J	`jnl`	Convolutional Neural Networks for Fast Approximation of Graph Edit Distance. CoRR Yunsheng Bai, Hao Ding, Yizhou Sun, Wei Wang
2018	J	`jnl`	Convolutional Set Matching for Graph Similarity. CoRR Yunsheng Bai, Hao Ding, Yizhou Sun, Wei Wang
2018	J	`jnl`	Graph Edit Distance Computation via Graph Neural Networks. CoRR Yunsheng Bai, Hao Ding, Song Bian, Ting Chen, Yizhou Sun, Wei Wang
2018	A*	`conf`	Learning from Multi-View Multi-Way Data via Structural Factorization Machines. WWW Chun-Ta Lu, Lifang He, Hao Ding, Bokai Cao, Philip S. Yu
2017	J	`jnl`	Learning from Multi-View Structural Data via Structural Factorization Machines. CoRR Chun-Ta Lu, Lifang He, Hao Ding, Philip S. Yu
2017	A*	`conf`	Multi-way Multi-level Kernel Modeling for Neuroimaging Classification. CVPR Lifang He, Chun-Ta Lu, Hao Ding, Shen Wang, Linlin Shen, Philip S. Yu, Ann B. Ragin