Jing Zhu - RankMe

22 papers A* 4A 4Journal 11Unranked 3

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Beyond Unimodal Boundaries: Generative Recommendation with Multimodal Semantics. CoRR Jing Zhu, Mingxuan Ju, Yozen Liu, Danai Koutra, Neil Shah, Tong Zhao
2025	—	`conf`	DISCO Balances the Scales: Adaptive Domain- and Difficulty-Aware Reinforcement Learning on Imbalanced Data. EMNLP (Findings) Yuhang Zhou, Jing Zhu, Shengyi Qian, Zhuokai Zhao, Xiyao Wang, Xiaoyu Liu, Ming Li, Paiheng Xu, Wei Ai, Furong Huang
2025	J	`jnl`	DISCO Balances the Scales: Adaptive Domain- and Difficulty-Aware Reinforcement Learning on Imbalanced Data. CoRR Yuhang Zhou, Jing Zhu, Shengyi Qian, Zhuokai Zhao, Xiyao Wang, Xiaoyu Liu, Ming Li, Paiheng Xu, Wei Ai, Furong Huang
2025	A	`conf`	LinkGPT: Leveraging Large Language Models for Enhanced Link Prediction in Text-Attributed Graphs. CIKM Zhongmou He, Jing Zhu, Shengyi Qian, Joyce Chai, Danai Koutra
2025	A*	`conf`	Mosaic of Modalities: A Comprehensive Benchmark for Multimodal Graph Learning. CVPR Jing Zhu, Yuhang Zhou, Shengyi Qian, Zhongmou He, Tong Zhao, Neil Shah, Danai Koutra
2024	J	`jnl`	LinkGPT: Teaching Large Language Models To Predict Missing Links. CoRR Zhongmou He, Jing Zhu, Shengyi Qian, Joyce Chai, Danai Koutra
2024	—	`conf`	Multi-Stage Balanced Distillation: Addressing Long-Tail Challenges in Sequence-Level Knowledge Distillation. EMNLP (Findings) Yuhang Zhou, Jing Zhu, Paiheng Xu, Xiaoyu Liu, Xiyao Wang, Danai Koutra, Wei Ai, Furong Huang
2024	J	`jnl`	Multi-Stage Balanced Distillation: Addressing Long-Tail Challenges in Sequence-Level Knowledge Distillation. CoRR Yuhang Zhou, Jing Zhu, Paiheng Xu, Xiaoyu Liu, Xiyao Wang, Danai Koutra, Wei Ai, Furong Huang
2024	J	`jnl`	Multimodal Graph Benchmark. CoRR Jing Zhu, Yuhang Zhou, Shengyi Qian, Zhongmou He, Tong Zhao, Neil Shah, Danai Koutra
2024	A*	`conf`	On the Impact of Feature Heterophily on Link Prediction with Graph Neural Networks. NeurIPS Jiong Zhu, Gaotang Li, Yao-An Yang, Jing Zhu, Xuehao Cui, Danai Koutra
2024	J	`jnl`	On the Impact of Feature Heterophily on Link Prediction with Graph Neural Networks. CoRR Jiong Zhu, Gaotang Li, Yao-An Yang, Jing Zhu, Xuehao Cui, Danai Koutra
2024	A	`conf`	Pitfalls in Link Prediction with Graph Neural Networks: Understanding the Impact of Target-link Inclusion & Better Practices. WSDM Jing Zhu, Yuhang Zhou, Vassilis N. Ioannidis, Shengyi Qian, Wei Ai, Xiang Song, Danai Koutra
2024	A*	`conf`	TouchUp-G: Improving Feature Representation through Graph-Centric Finetuning. SIGIR Jing Zhu, Xiang Song, Vassilis N. Ioannidis, Danai Koutra, Christos Faloutsos
2023	J	`jnl`	SpotTarget: Rethinking the Effect of Target Edges for Link Prediction in Graph Neural Networks. CoRR Jing Zhu, Yuhang Zhou, Vassilis N. Ioannidis, Shengyi Qian, Wei Ai, Xiang Song, Danai Koutra
2023	J	`jnl`	TouchUp-G: Improving Feature Representation through Graph-Centric Finetuning. CoRR Jing Zhu, Xiang Song, Vassilis N. Ioannidis, Danai Koutra, Christos Faloutsos
2022	A	`conf`	CAPER: Coarsen, Align, Project, Refine - A General Multilevel Framework for Network Alignment. CIKM Jing Zhu, Danai Koutra, Mark Heimann
2022	J	`jnl`	CAPER: Coarsen, Align, Project, Refine - A General Multilevel Framework for Network Alignment. CoRR Jing Zhu, Danai Koutra, Mark Heimann
2022	A*	`conf`	Touch and Go: Learning from Human-Collected Vision and Touch. NeurIPS Fengyu Yang, Chenyang Ma, Jiacheng Zhang, Jing Zhu, Wenzhen Yuan, Andrew Owens
2022	J	`jnl`	Touch and Go: Learning from Human-Collected Vision and Touch. CoRR Fengyu Yang, Chenyang Ma, Jiacheng Zhang, Jing Zhu, Wenzhen Yuan, Andrew Owens
2021	—	`conf`	NegatER: Unsupervised Discovery of Negatives in Commonsense Knowledge Bases. EMNLP (1) Tara Safavi, Jing Zhu, Danai Koutra
2021	A	`conf`	Node Proximity Is All You Need: Unified Structural and Positional Node and Graph Embedding. SDM Jing Zhu, Xingyu Lu, Mark Heimann, Danai Koutra
2021	J	`jnl`	Node Proximity Is All You Need: Unified Structural and Positional Node and Graph Embedding. CoRR Jing Zhu, Xingyu Lu, Mark Heimann, Danai Koutra