Haizhou Shi

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 26

Top Topics

Incremental Learning

Top Venues

Publications

Hengyi Wang, Haizhou Shi, Shiwei Tan, Weiyi Qin, Wenyuan Wang, Tunyu Zhang, Akshay Nambi, Tanuja Ganu, Hao Wang
Multimodal Needle in a Haystack: Benchmarking Long-Context Capability of Multimodal Large Language Models. CoRR (2024)
Haizhou Shi, Zihao Xu, Hengyi Wang, Weiyi Qin, Wenyuan Wang, Yibin Wang, Hao Wang
Continual Learning of Large Language Models: A Comprehensive Survey. CoRR (2024)
Yun Zhu, Haizhou Shi, Zhenshuo Zhang, Siliang Tang
MARIO: Model Agnostic Recipe for Improving OOD Generalization of Graph Contrastive Learning. WWW (2024)
Xiaotang Wang, Yun Zhu, Haizhou Shi, Yongchao Liu, Chuntao Hong
UniGAP: A Universal and Adaptive Graph Upsampling Approach to Mitigate Over-Smoothing in Node Classification Tasks. CoRR (2024)
Yun Zhu, Yaoke Wang, Haizhou Shi, Zhenshuo Zhang, Dian Jiao, Siliang Tang
GraphControl: Adding Conditional Control to Universal Graph Pre-trained Models for Graph Domain Transfer Learning. WWW (2024)
Yibin Wang, Haizhou Shi, Ligong Han, Dimitris N. Metaxas, Hao Wang
BLoB: Bayesian Low-Rank Adaptation by Backpropagation for Large Language Models. CoRR (2024)
Yun Zhu, Yaoke Wang, Haizhou Shi, Siliang Tang
Efficient Tuning and Inference for Large Language Models on Textual Graphs. CoRR (2024)
Yun Zhu, Haizhou Shi, Zhenshuo Zhang, Siliang Tang
MARIO: Model Agnostic Recipe for Improving OOD Generalization of Graph Contrastive Learning. CoRR (2023)
Haizhou Shi, Hao Wang
A Unified Approach to Domain Incremental Learning with Memory: Theory and Algorithm. CoRR (2023)
Zhenshuo Zhang, Yun Zhu, Haizhou Shi, Siliang Tang
Structure-Aware Group Discrimination with Adaptive-View Graph Encoder: A Fast Graph Contrastive Learning Framework. ECAI (2023)
Yun Zhu, Yaoke Wang, Haizhou Shi, Zhenshuo Zhang, Siliang Tang
GraphControl: Adding Conditional Control to Universal Graph Pre-trained Models for Graph Domain Transfer Learning. CoRR (2023)
Haizhou Shi, Hao Wang
A Unified Approach to Domain Incremental Learning with Memory: Theory and Algorithm. NeurIPS (2023)
Zhenshuo Zhang, Yun Zhu, Haizhou Shi, Siliang Tang
Structure-Aware Group Discrimination with Adaptive-View Graph Encoder: A Fast Graph Contrastive Learning Framework. CoRR (2023)
Haizhou Shi, Youcai Zhang, Siliang Tang, Wenjie Zhu, Yaqian Li, Yandong Guo, Yueting Zhuang
On the Efficacy of Small Self-Supervised Contrastive Models without Distillation Signals. AAAI (2022)
Haizhou Shi, Youcai Zhang, Siliang Tang, Wenjie Zhu, Yaqian Li, Yandong Guo, Yueting Zhuang
On the Efficacy of Small Self-Supervised Contrastive Models without Distillation Signals. CoRR (2021)
Tao Chen, Haizhou Shi, Siliang Tang, Zhigang Chen, Fei Wu, Yueting Zhuang
CIL: Contrastive Instance Learning Framework for Distantly Supervised Relation Extraction. CoRR (2021)
Zixuan Ni, Haizhou Shi, Siliang Tang, Yueting Zhuang
Alleviate Representation Overlapping in Class Incremental Learning by Contrastive Class Concentration. CoRR (2021)
Haizhou Shi, Youcai Zhang, Zijin Shen, Siliang Tang, Yaqian Li, Yandong Guo, Yueting Zhuang
Federated Self-Supervised Contrastive Learning via Ensemble Similarity Distillation. CoRR (2021)
Wenqiao Zhang, Xin Eric Wang, Siliang Tang, Haizhou Shi, Haochen Shi, Jun Xiao, Yueting Zhuang, William Yang Wang
Relational Graph Learning for Grounded Video Description Generation. CoRR (2021)
Tao Chen, Haizhou Shi, Siliang Tang, Zhigang Chen, Fei Wu, Yueting Zhuang
CIL: Contrastive Instance Learning Framework for Distantly Supervised Relation Extraction. ACL/IJCNLP (1) (2021)
Haizhou Shi, Dongliang Luo, Siliang Tang, Jian Wang, Yueting Zhuang
Run Away From your Teacher: Understanding BYOL by a Novel Self-Supervised Approach. CoRR (2020)
Wenqiao Zhang, Xin Eric Wang, Siliang Tang, Haizhou Shi, Haochen Shi, Jun Xiao, Yueting Zhuang, William Yang Wang
Relational Graph Learning for Grounded Video Description Generation. ACM Multimedia (2020)
Juncheng Li, Xin Wang, Siliang Tang, Haizhou Shi, Fei Wu, Yueting Zhuang, William Yang Wang
Unsupervised Reinforcement Learning of Transferable Meta-Skills for Embodied Navigation. CVPR (2020)
Juncheng Li, Xin Wang, Siliang Tang, Haizhou Shi, Fei Wu, Yueting Zhuang, William Yang Wang
Unsupervised Reinforcement Learning of Transferable Meta-Skills for Embodied Navigation. CoRR (2019)
Jiacheng Li, Haizhou Shi, Siliang Tang, Fei Wu, Yueting Zhuang
Informative Visual Storytelling with Cross-modal Rules. ACM Multimedia (2019)
Jiacheng Li, Haizhou Shi, Siliang Tang, Fei Wu, Yueting Zhuang
Informative Visual Storytelling with Cross-modal Rules. CoRR (2019)