Lijun Sheng - RankMe

28 papers A* 4Journal 23Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Do MLLMs Really Understand Space? A Mathematical Reasoning Evaluation. CoRR Shuo Lu, Jianjie Cheng, Yinuo Xu, Yongcan Yu, Lijun Sheng, Peijie Wang, Siru Jiang, Yongguan Hu, Run Ling, Yihua Shao, Ao Ma, Wei Feng, Lingxiao He, Meng Wang, Qianlong Xie, Xingxing Wang, Ran He, Jian Liang
2026	J	`jnl`	Learning Fair Domain Adaptation with Virtual Label Distribution. CoRR Yuguang Zhang, Lijun Sheng, Jian Liang, Ran He
2026	J	`jnl`	Out-of-Distribution Detection: A Task-Oriented Survey of Recent Advances. ACM Comput. Surv. Shuo Lu, Yingsheng Wang, Lijun Sheng, Lingxiao He, Aihua Zheng, Jian Liang
2025	J	`jnl`	Adapting Vision-Language Models Without Labels: A Comprehensive Survey. CoRR Hao Dong, Lijun Sheng, Jian Liang, Ran He, Eleni N. Chatzi, Olga Fink
2025	J	`jnl`	Cooperative Pseudo Labeling for Unsupervised Federated Classification. CoRR Kuangpu Guo, Lijun Sheng, Yongcan Yu, Jian Liang, Zilei Wang, Ran He
2025	A*	`conf`	Protecting Model Adaptation from Trojans in the Unlabeled Data. AAAI Lijun Sheng, Jian Liang, Ran He, Zilei Wang, Tieniu Tan
2025	A*	`conf`	R-TPT: Improving Adversarial Robustness of Vision-Language Models through Test-Time Prompt Tuning. CVPR Lijun Sheng, Jian Liang, Zilei Wang, Ran He
2025	J	`jnl`	R-TPT: Improving Adversarial Robustness of Vision-Language Models through Test-Time Prompt Tuning. CoRR Lijun Sheng, Jian Liang, Zilei Wang, Ran He
2025	J	`jnl`	Reassessing the Role of Supervised Fine-Tuning: An Empirical Study in VLM Reasoning. CoRR Yongcan Yu, Lingxiao He, Shuo Lu, Lijun Sheng, Yinuo Xu, Yanbo Wang, Kuangpu Guo, Jianjie Cheng, Meng Wang, Qianlong Xie, Xingxing Wang, Dapeng Hu, Jian Liang
2025	J	`jnl`	The Illusion of Progress? A Critical Look at Test-Time Adaptation for Vision-Language Models. CoRR Lijun Sheng, Jian Liang, Ran He, Zilei Wang, Tieniu Tan
2024	A*	`conf`	A Hard-to-Beat Baseline for Training-free CLIP-based Adaptation. ICLR Zhengbo Wang, Jian Liang, Lijun Sheng, Ran He, Zilei Wang, Tieniu Tan
2024	J	`jnl`	A Hard-to-Beat Baseline for Training-free CLIP-based Adaptation. CoRR Zhengbo Wang, Jian Liang, Lijun Sheng, Ran He, Zilei Wang, Tieniu Tan
2024	J	`jnl`	Can We Trust the Unlabeled Target Data? Towards Backdoor Attack and Defense on Model Adaptation. CoRR Lijun Sheng, Jian Liang, Ran He, Zilei Wang, Tieniu Tan
2024	J	`jnl`	Learning Spatiotemporal Inconsistency via Thumbnail Layout for Face Deepfake Detection. CoRR Yuting Xu, Jian Liang, Lijun Sheng, Xiaoyu Zhang
2024	J	`jnl`	Learning Spatiotemporal Inconsistency via Thumbnail Layout for Face Deepfake Detection. Int. J. Comput. Vis. Yuting Xu, Jian Liang, Lijun Sheng, Xiaoyu Zhang
2024	J	`jnl`	Prototypical Distillation and Debiased Tuning for Black-box Unsupervised Domain Adaptation. CoRR Jian Liang, Lijun Sheng, Hongmin Liu, Ran He
2024	A*	`conf`	Realistic Unsupervised CLIP Fine-tuning with Universal Entropy Optimization. ICML Jian Liang, Lijun Sheng, Zhengbo Wang, Ran He, Tieniu Tan
2024	J	`jnl`	Recent Advances in OOD Detection: Problems and Approaches. CoRR Shuo Lu, Yingsheng Wang, Lijun Sheng, Aihua Zheng, Lingxiao He, Jian Liang
2024	—	`conf`	STAMP: Outlier-Aware Test-Time Adaptation with Stable Memory Replay. ECCV (81) Yongcan Yu, Lijun Sheng, Ran He, Jian Liang
2024	J	`jnl`	STAMP: Outlier-Aware Test-Time Adaptation with Stable Memory Replay. CoRR Yongcan Yu, Lijun Sheng, Ran He, Jian Liang
2024	J	`jnl`	Towards Compatible Fine-tuning for Vision-Language Model Updates. CoRR Zhengbo Wang, Jian Liang, Lijun Sheng, Ran He, Zilei Wang, Tieniu Tan
2023	J	`jnl`	AdaptGuard: Defending Against Universal Attacks for Model Adaptation. CoRR Lijun Sheng, Jian Liang, Ran He, Zilei Wang, Tieniu Tan
2023	J	`jnl`	Benchmarking Test-Time Adaptation against Distribution Shifts in Image Classification. CoRR Yongcan Yu, Lijun Sheng, Ran He, Jian Liang
2023	J	`jnl`	ProxyMix: Proxy-based Mixup training with label refinery for source-free domain adaptation. Neural Networks Yuhe Ding, Lijun Sheng, Jian Liang, Aihua Zheng, Ran He
2023	J	`jnl`	Self-training solutions for the ICCV 2023 GeoNet Challenge. CoRR Lijun Sheng, Zhengbo Wang, Jian Liang
2023	J	`jnl`	Towards Realistic Unsupervised Fine-tuning with CLIP. CoRR Jian Liang, Lijun Sheng, Zhengbo Wang, Ran He, Tieniu Tan
2023	J	`jnl`	Unleashing the power of Neural Collapse for Transferability Estimation. CoRR Yuhe Ding, Bo Jiang, Lijun Sheng, Aihua Zheng, Jian Liang
2022	J	`jnl`	ProxyMix: Proxy-based Mixup Training with Label Refinery for Source-Free Domain Adaptation. CoRR Yuhe Ding, Lijun Sheng, Jian Liang, Aihua Zheng, Ran He