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2020 – today
- 2024
[c10]Yun Zhu, Yaoke Wang, Haizhou Shi, Siliang Tang:
Efficient Tuning and Inference for Large Language Models on Textual Graphs. IJCAI 2024: 5734-5742- [c9]Yun Zhu
, Haizhou Shi, Zhenshuo Zhang, Siliang Tang:
MARIO: Model Agnostic Recipe for Improving OOD Generalization of Graph Contrastive Learning. WWW 2024: 300-311 - [c8]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: 539-550 - [i19]Yun Zhu, Yaoke Wang, Haizhou Shi, Siliang Tang:
Efficient Tuning and Inference for Large Language Models on Textual Graphs. CoRR abs/2401.15569 (2024) - [i18]Haizhou Shi, Zihao Xu, Hengyi Wang, Weiyi Qin, Wenyuan Wang, Yibin Wang, Hao Wang:
Continual Learning of Large Language Models: A Comprehensive Survey. CoRR abs/2404.16789 (2024) - [i17]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 abs/2406.11230 (2024) - [i16]Yibin Wang, Haizhou Shi, Ligong Han, Dimitris N. Metaxas, Hao Wang:
BLoB: Bayesian Low-Rank Adaptation by Backpropagation for Large Language Models. CoRR abs/2406.11675 (2024) - [i15]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 abs/2407.19420 (2024) - [i14]Xiaotang Wang, Yun Zhu, Haizhou Shi, Yongchao Liu, Chuntao Hong:
Graph Triple Attention Network: A Decoupled Perspective. CoRR abs/2408.07654 (2024) - [i13]Boci Peng, Yun Zhu, Yongchao Liu, Xiaohe Bo, Haizhou Shi, Chuntao Hong, Yan Zhang, Siliang Tang:
Graph Retrieval-Augmented Generation: A Survey. CoRR abs/2408.08921 (2024) - 2023
- [c7]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: 3066-3073 - [c6]Haizhou Shi, Hao Wang:
A Unified Approach to Domain Incremental Learning with Memory: Theory and Algorithm. NeurIPS 2023 - [i12]Zhenshuo Zhang, Yun Zhu, Haizhou Shi, Siliang Tang:
Structure-Aware Group Discrimination with Adaptive-View Graph Encoder: A Fast Graph Contrastive Learning Framework. CoRR abs/2303.05231 (2023) - [i11]Yun Zhu, Haizhou Shi, Zhenshuo Zhang, Siliang Tang:
MARIO: Model Agnostic Recipe for Improving OOD Generalization of Graph Contrastive Learning. CoRR abs/2307.13055 (2023) - [i10]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 abs/2310.07365 (2023) - [i9]Haizhou Shi, Hao Wang:
A Unified Approach to Domain Incremental Learning with Memory: Theory and Algorithm. CoRR abs/2310.12244 (2023) - 2022
- [c5]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: 2225-2234 - 2021
- [c4]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: 6191-6200 - [i8]Tao Chen, Haizhou Shi, Siliang Tang, Zhigang Chen, Fei Wu, Yueting Zhuang:
CIL: Contrastive Instance Learning Framework for Distantly Supervised Relation Extraction. CoRR abs/2106.10855 (2021) - [i7]Zixuan Ni, Haizhou Shi, Siliang Tang, Yueting Zhuang:
Alleviate Representation Overlapping in Class Incremental Learning by Contrastive Class Concentration. CoRR abs/2107.12308 (2021) - [i6]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 abs/2107.14762 (2021) - [i5]Haizhou Shi, Youcai Zhang, Zijin Shen, Siliang Tang, Yaqian Li, Yandong Guo, Yueting Zhuang:
Federated Self-Supervised Contrastive Learning via Ensemble Similarity Distillation. CoRR abs/2109.14611 (2021) - [i4]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 abs/2112.00967 (2021) - 2020
- [c3]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: 12120-12129 - [c2]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: 3807-3828 - [i3]Haizhou Shi, Dongliang Luo, Siliang Tang, Jian Wang, Yueting Zhuang:
Run Away From your Teacher: Understanding BYOL by a Novel Self-Supervised Approach. CoRR abs/2011.10944 (2020)
2010 – 2019
- 2019
- [c1]Jiacheng Li, Haizhou Shi, Siliang Tang, Fei Wu, Yueting Zhuang:
Informative Visual Storytelling with Cross-modal Rules. ACM Multimedia 2019: 2314-2322 - [i2]Jiacheng Li, Haizhou Shi, Siliang Tang, Fei Wu, Yueting Zhuang:
Informative Visual Storytelling with Cross-modal Rules. CoRR abs/1907.03240 (2019) - [i1]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 abs/1911.07450 (2019)
Coauthor Index
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last updated on 2024-10-21 21:33 CEST by the dblp team
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