Haizhou Shi

According to our database, Haizhou Shi authored at least 26 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Token-Level Uncertainty Estimation for Large Language Model Reasoning.

Tunyu Zhang, Haizhou Shi, Yibin Wang, Hengyi Wang, Xiaoxiao He, Zhuowei Li, Haoxian Chen, Ligong Han, Kai Xu, Huan Zhang, Dimitris N. Metaxas, Hao Wang

CoRR, May, 2025

Efficient Uncertainty Estimation via Distillation of Bayesian Large Language Models.

Harshil Vejendla, Haizhou Shi, Yibin Wang, Tunyu Zhang, Huan Zhang, Hao Wang

CoRR, May, 2025

The Hidden Life of Tokens: Reducing Hallucination of Large Vision-Language Models via Visual Information Steering.

Zhuowei Li, Haizhou Shi, Yunhe Gao, Di Liu, Zhenting Wang, Yuxiao Chen, Ting Liu, Long Zhao, Hao Wang, Dimitris N. Metaxas

CoRR, February, 2025

GraphCLIP: Enhancing Transferability in Graph Foundation Models for Text-Attributed Graphs.

Yun Zhu, Haizhou Shi, Xiaotang Wang, Yongchao Liu, Yaoke Wang, Boci Peng, Chuntao Hong, Siliang Tang

Proceedings of the ACM on Web Conference 2025, 2025

Multimodal Needle in a Haystack: Benchmarking Long-Context Capability of Multimodal Large Language Models.

Hengyi Wang, Haizhou Shi, Shiwei Tan, Weiyi Qin, Wenyuan Wang, Tunyu Zhang, Akshay Nambi, Tanuja Ganu, Hao Wang

Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

Graph Triple Attention Networks: A Decoupled Perspective.

Xiaotang Wang, Yun Zhu, Haizhou Shi, Yongchao Liu, Chuntao Hong

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.1, 2025

Rate-My-LoRA: EFFICIENT AND ADAPTIVE FEDERATED MODEL TUNING FOR CARDIAC MRI SEGMENTATION.

Xiaoxiao He, Haizhou Shi, Ligong Han, Chaowei Tan, Bo Liu, Zihao Xu, Meng Ye, Leon Axel, Kang Li, Dimitris N. Metaxas

Proceedings of the 22nd IEEE International Symposium on Biomedical Imaging, 2025

2024

Training-Free Bayesianization for Low-Rank Adapters of Large Language Models.

Haizhou Shi, Yibin Wang, Ligong Han, Huan Zhang, Hao Wang

CoRR, 2024

Graph Retrieval-Augmented Generation: A Survey.

Boci Peng, Yun Zhu, Yongchao Liu, Xiaohe Bo, Haizhou Shi, Chuntao Hong, Yan Zhang, Siliang Tang

CoRR, 2024

Graph Triple Attention Network: A Decoupled Perspective.

Xiaotang Wang, Yun Zhu, Haizhou Shi, Yongchao Liu, Chuntao Hong

CoRR, 2024

UniGAP: A Universal and Adaptive Graph Upsampling Approach to Mitigate Over-Smoothing in Node Classification Tasks.

Xiaotang Wang, Yun Zhu, Haizhou Shi, Yongchao Liu, Chuntao Hong

CoRR, 2024

Continual Learning of Large Language Models: A Comprehensive Survey.

Haizhou Shi, Zihao Xu, Hengyi Wang, Weiyi Qin, Wenyuan Wang, Yibin Wang, Hao Wang

CoRR, 2024

GraphControl: Adding Conditional Control to Universal Graph Pre-trained Models for Graph Domain Transfer Learning.

Yun Zhu, Yaoke Wang, Haizhou Shi, Zhenshuo Zhang, Dian Jiao, Siliang Tang

Proceedings of the ACM on Web Conference 2024, 2024

MARIO: Model Agnostic Recipe for Improving OOD Generalization of Graph Contrastive Learning.

Yun Zhu, Haizhou Shi, Zhenshuo Zhang, Siliang Tang

Proceedings of the ACM on Web Conference 2024, 2024

BLoB: Bayesian Low-Rank Adaptation by Backpropagation for Large Language Models.

Yibin Wang, Haizhou Shi, Ligong Han, Dimitris N. Metaxas, Hao Wang

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Efficient Tuning and Inference for Large Language Models on Textual Graphs.

Yun Zhu, Yaoke Wang, Haizhou Shi, Siliang Tang

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

2023

A Unified Approach to Domain Incremental Learning with Memory: Theory and Algorithm.

Haizhou Shi, Hao Wang

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Structure-Aware Group Discrimination with Adaptive-View Graph Encoder: A Fast Graph Contrastive Learning Framework.

Zhenshuo Zhang, Yun Zhu, Haizhou Shi, Siliang Tang

Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023

2022

On the Efficacy of Small Self-Supervised Contrastive Models without Distillation Signals.

Haizhou Shi, Youcai Zhang, Siliang Tang, Wenjie Zhu, Yaqian Li, Yandong Guo, Yueting Zhuang

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

Federated Self-Supervised Contrastive Learning via Ensemble Similarity Distillation.

Haizhou Shi, Youcai Zhang, Zijin Shen, Siliang Tang, Yaqian Li, Yandong Guo, Yueting Zhuang

CoRR, 2021

Alleviate Representation Overlapping in Class Incremental Learning by Contrastive Class Concentration.

Zixuan Ni, Haizhou Shi, Siliang Tang, Yueting Zhuang

CoRR, 2021

CIL: Contrastive Instance Learning Framework for Distantly Supervised Relation Extraction.

Tao Chen, Haizhou Shi, Siliang Tang, Zhigang Chen, Fei Wu, Yueting Zhuang

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020

Run Away From your Teacher: Understanding BYOL by a Novel Self-Supervised Approach.

Haizhou Shi, Dongliang Luo, Siliang Tang, Jian Wang, Yueting Zhuang

CoRR, 2020

Relational Graph Learning for Grounded Video Description Generation.

Wenqiao Zhang, Xin Eric Wang, Siliang Tang, Haizhou Shi, Haochen Shi, Jun Xiao, Yueting Zhuang, William Yang Wang

Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020

Unsupervised Reinforcement Learning of Transferable Meta-Skills for Embodied Navigation.

Juncheng Li, Xin Wang, Siliang Tang, Haizhou Shi, Fei Wu, Yueting Zhuang, William Yang Wang

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

Informative Visual Storytelling with Cross-modal Rules.

Jiacheng Li, Haizhou Shi, Siliang Tang, Fei Wu, Yueting Zhuang

Proceedings of the 27th ACM International Conference on Multimedia, 2019