Haizhou Shi - RankMe

46 papers A* 11A 1Journal 30Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Continual Learning of Large Language Models: A Comprehensive Survey. ACM Comput. Surv. Haizhou Shi, Zihao Xu, Hengyi Wang, Weiyi Qin, Wenyuan Wang, Yibin Wang, Zifeng Wang, Sayna Ebrahimi, Hao Wang
2026	J	`jnl`	Graph Retrieval-Augmented Generation: A Survey. ACM Trans. Inf. Syst. Boci Peng, Yun Zhu, Yongchao Liu, Xiaohe Bo, Haizhou Shi, Chuntao Hong, Yan Zhang, Siliang Tang
2026	J	`jnl`	MAS-ProVe: Understanding the Process Verification of Multi-Agent Systems. CoRR Vishal Venkataramani, Haizhou Shi, Zixuan Ke, Austin Xu, Xiaoxiao He, Yingbo Zhou, Semih Yavuz, Hao Wang, Shafiq Joty
2026	J	`jnl`	T3D: Few-Step Diffusion Language Models via Trajectory Self-Distillation with Direct Discriminative Optimization. CoRR Tunyu Zhang, Xinxi Zhang, Ligong Han, Haizhou Shi, Xiaoxiao He, Zhuowei Li, Hao Wang, Kai Xu, Akash Srivastava, Hao Wang, Vladimir Pavlovic, Dimitris N. Metaxas
2025	J	`jnl`	Efficient Uncertainty Estimation via Distillation of Bayesian Large Language Models. CoRR Harshil Vejendla, Haizhou Shi, Yibin Wang, Tunyu Zhang, Huan Zhang, Hao Wang
2025	—	`conf`	Graph Triple Attention Networks: A Decoupled Perspective. KDD (1) Xiaotang Wang, Yun Zhu, Haizhou Shi, Yongchao Liu, Chuntao Hong
2025	A*	`conf`	GraphCLIP: Enhancing Transferability in Graph Foundation Models for Text-Attributed Graphs. WWW Yun Zhu, Haizhou Shi, Xiaotang Wang, Yongchao Liu, Yaoke Wang, Boci Peng, Chuntao Hong, Siliang Tang
2025	—	`conf`	Multimodal Needle in a Haystack: Benchmarking Long-Context Capability of Multimodal Large Language Models. NAACL (Long Papers) Hengyi Wang, Haizhou Shi, Shiwei Tan, Weiyi Qin, Wenyuan Wang, Tunyu Zhang, Akshay Nambi, Tanuja Ganu, Hao Wang
2025	—	`conf`	Rate-My-LoRA: EFFICIENT AND ADAPTIVE FEDERATED MODEL TUNING FOR CARDIAC MRI SEGMENTATION. ISBI Xiaoxiao He, Haizhou Shi, Ligong Han, Chaowei Tan, Bo Liu, Zihao Xu, Meng Ye, Leon Axel, Kang Li, Dimitris N. Metaxas
2025	J	`jnl`	Rate-My-LoRA: Efficient and Adaptive Federated Model Tuning for Cardiac MRI Segmentation. CoRR Xiaoxiao He, Haizhou Shi, Ligong Han, Chaowei Tan, Bo Liu, Zihao Xu, Meng Ye, Leon Axel, Kang Li, Dimitris N. Metaxas
2025	J	`jnl`	SSR: Socratic Self-Refine for Large Language Model Reasoning. CoRR Haizhou Shi, Ye Liu, Bo Pang, Zeyu Leo Liu, Hao Wang, Silvio Savarese, Caiming Xiong, Yingbo Zhou, Semih Yavuz
2025	A*	`conf`	The Hidden Life of Tokens: Reducing Hallucination of Large Vision-Language Models Via Visual Information Steering. ICML Zhuowei Li, Haizhou Shi, Yunhe Gao, Di Liu, Zhenting Wang, Yuxiao Chen, Ting Liu, Long Zhao, Hao Wang, Dimitris N. Metaxas
2025	J	`jnl`	The Hidden Life of Tokens: Reducing Hallucination of Large Vision-Language Models via Visual Information Steering. CoRR Zhuowei Li, Haizhou Shi, Yunhe Gao, Di Liu, Zhenting Wang, Yuxiao Chen, Ting Liu, Long Zhao, Hao Wang, Dimitris N. Metaxas
2025	J	`jnl`	Token-Level Uncertainty Estimation for Large Language Model Reasoning. CoRR 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
2024	A*	`conf`	BLoB: Bayesian Low-Rank Adaptation by Backpropagation for Large Language Models. NeurIPS Yibin Wang, Haizhou Shi, Ligong Han, Dimitris N. Metaxas, Hao Wang
2024	J	`jnl`	BLoB: Bayesian Low-Rank Adaptation by Backpropagation for Large Language Models. CoRR Yibin Wang, Haizhou Shi, Ligong Han, Dimitris N. Metaxas, Hao Wang
2024	J	`jnl`	Continual Learning of Large Language Models: A Comprehensive Survey. CoRR Haizhou Shi, Zihao Xu, Hengyi Wang, Weiyi Qin, Wenyuan Wang, Yibin Wang, Hao Wang
2024	A*	`conf`	Efficient Tuning and Inference for Large Language Models on Textual Graphs. IJCAI Yun Zhu, Yaoke Wang, Haizhou Shi, Siliang Tang
2024	J	`jnl`	Efficient Tuning and Inference for Large Language Models on Textual Graphs. CoRR Yun Zhu, Yaoke Wang, Haizhou Shi, Siliang Tang
2024	J	`jnl`	Graph Retrieval-Augmented Generation: A Survey. CoRR Boci Peng, Yun Zhu, Yongchao Liu, Xiaohe Bo, Haizhou Shi, Chuntao Hong, Yan Zhang, Siliang Tang
2024	J	`jnl`	Graph Triple Attention Network: A Decoupled Perspective. CoRR Xiaotang Wang, Yun Zhu, Haizhou Shi, Yongchao Liu, Chuntao Hong
2024	J	`jnl`	GraphCLIP: Enhancing Transferability in Graph Foundation Models for Text-Attributed Graphs. CoRR Yun Zhu, Haizhou Shi, Xiaotang Wang, Yongchao Liu, Yaoke Wang, Boci Peng, Chuntao Hong, Siliang Tang
2024	A*	`conf`	GraphControl: Adding Conditional Control to Universal Graph Pre-trained Models for Graph Domain Transfer Learning. WWW Yun Zhu, Yaoke Wang, Haizhou Shi, Zhenshuo Zhang, Dian Jiao, Siliang Tang
2024	A*	`conf`	MARIO: Model Agnostic Recipe for Improving OOD Generalization of Graph Contrastive Learning. WWW Yun Zhu, Haizhou Shi, Zhenshuo Zhang, Siliang Tang
2024	J	`jnl`	Multimodal Needle in a Haystack: Benchmarking Long-Context Capability of Multimodal Large Language Models. CoRR Hengyi Wang, Haizhou Shi, Shiwei Tan, Weiyi Qin, Wenyuan Wang, Tunyu Zhang, Akshay Nambi, Tanuja Ganu, Hao Wang
2024	J	`jnl`	Training-Free Bayesianization for Low-Rank Adapters of Large Language Models. CoRR Haizhou Shi, Yibin Wang, Ligong Han, Huan Zhang, Hao Wang
2024	J	`jnl`	UniGAP: A Universal and Adaptive Graph Upsampling Approach to Mitigate Over-Smoothing in Node Classification Tasks. CoRR Xiaotang Wang, Yun Zhu, Haizhou Shi, Yongchao Liu, Chuntao Hong
2023	A*	`conf`	A Unified Approach to Domain Incremental Learning with Memory: Theory and Algorithm. NeurIPS Haizhou Shi, Hao Wang
2023	J	`jnl`	A Unified Approach to Domain Incremental Learning with Memory: Theory and Algorithm. CoRR Haizhou Shi, Hao Wang
2023	J	`jnl`	GraphControl: Adding Conditional Control to Universal Graph Pre-trained Models for Graph Domain Transfer Learning. CoRR Yun Zhu, Yaoke Wang, Haizhou Shi, Zhenshuo Zhang, Dian Jiao, Siliang Tang
2023	J	`jnl`	MARIO: Model Agnostic Recipe for Improving OOD Generalization of Graph Contrastive Learning. CoRR Yun Zhu, Haizhou Shi, Zhenshuo Zhang, Siliang Tang
2023	A	`conf`	Structure-Aware Group Discrimination with Adaptive-View Graph Encoder: A Fast Graph Contrastive Learning Framework. ECAI Zhenshuo Zhang, Yun Zhu, Haizhou Shi, Siliang Tang
2023	J	`jnl`	Structure-Aware Group Discrimination with Adaptive-View Graph Encoder: A Fast Graph Contrastive Learning Framework. CoRR Zhenshuo Zhang, Yun Zhu, Haizhou Shi, Siliang Tang
2022	A*	`conf`	On the Efficacy of Small Self-Supervised Contrastive Models without Distillation Signals. AAAI Haizhou Shi, Youcai Zhang, Siliang Tang, Wenjie Zhu, Yaqian Li, Yandong Guo, Yueting Zhuang
2021	J	`jnl`	Alleviate Representation Overlapping in Class Incremental Learning by Contrastive Class Concentration. CoRR Zixuan Ni, Haizhou Shi, Siliang Tang, Yueting Zhuang
2021	—	`conf`	CIL: Contrastive Instance Learning Framework for Distantly Supervised Relation Extraction. ACL/IJCNLP (1) Tao Chen, Haizhou Shi, Siliang Tang, Zhigang Chen, Fei Wu, Yueting Zhuang
2021	J	`jnl`	CIL: Contrastive Instance Learning Framework for Distantly Supervised Relation Extraction. CoRR Tao Chen, Haizhou Shi, Siliang Tang, Zhigang Chen, Fei Wu, Yueting Zhuang
2021	J	`jnl`	Federated Self-Supervised Contrastive Learning via Ensemble Similarity Distillation. CoRR Haizhou Shi, Youcai Zhang, Zijin Shen, Siliang Tang, Yaqian Li, Yandong Guo, Yueting Zhuang
2021	J	`jnl`	On the Efficacy of Small Self-Supervised Contrastive Models without Distillation Signals. CoRR Haizhou Shi, Youcai Zhang, Siliang Tang, Wenjie Zhu, Yaqian Li, Yandong Guo, Yueting Zhuang
2021	J	`jnl`	Relational Graph Learning for Grounded Video Description Generation. CoRR Wenqiao Zhang, Xin Eric Wang, Siliang Tang, Haizhou Shi, Haochen Shi, Jun Xiao, Yueting Zhuang, William Yang Wang
2020	A*	`conf`	Relational Graph Learning for Grounded Video Description Generation. ACM Multimedia Wenqiao Zhang, Xin Eric Wang, Siliang Tang, Haizhou Shi, Haochen Shi, Jun Xiao, Yueting Zhuang, William Yang Wang
2020	J	`jnl`	Run Away From your Teacher: Understanding BYOL by a Novel Self-Supervised Approach. CoRR Haizhou Shi, Dongliang Luo, Siliang Tang, Jian Wang, Yueting Zhuang
2020	A*	`conf`	Unsupervised Reinforcement Learning of Transferable Meta-Skills for Embodied Navigation. CVPR Juncheng Li, Xin Wang, Siliang Tang, Haizhou Shi, Fei Wu, Yueting Zhuang, William Yang Wang
2019	A*	`conf`	Informative Visual Storytelling with Cross-modal Rules. ACM Multimedia Jiacheng Li, Haizhou Shi, Siliang Tang, Fei Wu, Yueting Zhuang
2019	J	`jnl`	Informative Visual Storytelling with Cross-modal Rules. CoRR Jiacheng Li, Haizhou Shi, Siliang Tang, Fei Wu, Yueting Zhuang
2019	J	`jnl`	Unsupervised Reinforcement Learning of Transferable Meta-Skills for Embodied Navigation. CoRR Juncheng Li, Xin Wang, Siliang Tang, Haizhou Shi, Fei Wu, Yueting Zhuang, William Yang Wang