Junfei Wu - RankMe

26 papers A* 4Journal 19Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Chatting with Images for Introspective Visual Thinking. CoRR Junfei Wu, Jian Guan, Qiang Liu, Shu Wu, Liang Wang, Wei Wu, Tieniu Tan
2026	J	`jnl`	OmniSIFT: Modality-Asymmetric Token Compression for Efficient Omni-modal Large Language Models. CoRR Yue Ding, Yiyan Ji, Jungang Li, Xuyang Liu, Xinlong Chen, Junfei Wu, Bozhou Li, Bohan Zeng, Yang Shi, Yushuo Guan, Yuanxing Zhang, Jiaheng Liu, Qiang Liu, Pengfei Wan, Liang Wang
2026	J	`jnl`	RealChart2Code: Advancing Chart-to-Code Generation with Real Data and Multi-Task Evaluation. CoRR Jiajun Zhang, Yuying Li, Zhixun Li, Xingyu Guo, Jingzhuo Wu, Leqi Zheng, Yiran Yang, Jianke Zhang, Qingbin Li, Shannan Yan, Zhetong Li, Changguo Jia, Junfei Wu, Zilei Wang, Qiang Liu, Liang Wang
2026	J	`jnl`	STRIVE: Structured Reasoning for Self-improvement in Claim Verification. Mach. Intell. Res. Haisong Gong, Jing Li, Junfei Wu, Qiang Liu, Shu Wu
2025	—	`conf`	A Survey on Personalized Alignment - The Missing Piece for Large Language Models in Real-World Applications. ACL (Findings) Jian Guan, Junfei Wu, Jia-Nan Li, Chuanqi Cheng, Wei Wu
2025	J	`jnl`	A Survey on Personalized Alignment - The Missing Piece for Large Language Models in Real-World Applications. CoRR Jian Guan, Junfei Wu, Jia-Nan Li, Chuanqi Cheng, Wei Wu
2025	J	`jnl`	D CoRR Yue Ding, Xiaofang Zhu, Tianze Xia, Junfei Wu, Xinlong Chen, Qiang Liu, Liang Wang
2025	A*	`conf`	MME-RealWorld: Could Your Multimodal LLM Challenge High-Resolution Real-World Scenarios that are Difficult for Humans? ICLR Yifan Zhang, Huanyu Zhang, Haochen Tian, Chaoyou Fu, Shuangqing Zhang, Junfei Wu, Feng Li, Kun Wang, Qingsong Wen, Zhang Zhang, Liang Wang, Rong Jin
2025	—	`conf`	Mixture of Decoding: An Attention-Inspired Adaptive Decoding Strategy to Mitigate Hallucinations in Large Vision-Language Models. ACL (Findings) Xinlong Chen, Yuanxing Zhang, Qiang Liu, Junfei Wu, Fuzheng Zhang, Tieniu Tan
2025	J	`jnl`	Mixture of Decoding: An Attention-Inspired Adaptive Decoding Strategy to Mitigate Hallucinations in Large Vision-Language Models. CoRR Xinlong Chen, Yuanxing Zhang, Qiang Liu, Junfei Wu, Fuzheng Zhang, Tieniu Tan
2025	J	`jnl`	Reinforcing Spatial Reasoning in Vision-Language Models with Interwoven Thinking and Visual Drawing. CoRR Junfei Wu, Jian Guan, Kaituo Feng, Qiang Liu, Shu Wu, Liang Wang, Wei Wu, Tieniu Tan
2025	A*	`conf`	SHARP: Steering Hallucination in LVLMs via Representation Engineering. EMNLP Junfei Wu, Yue Ding, Guofan Liu, Tianze Xia, Ziyue Huang, Dianbo Sui, Qiang Liu, Shu Wu, Liang Wang, Tieniu Tan
2025	J	`jnl`	STRIVE: Structured Reasoning for Self-Improvement in Claim Verification. CoRR Haisong Gong, Jing Li, Junfei Wu, Qiang Liu, Shu Wu, Liang Wang
2024	J	`jnl`	Adversarial Contrastive Learning for Evidence-Aware Fake News Detection With Graph Neural Networks. IEEE Trans. Knowl. Data Eng. Junfei Wu, Weizhi Xu, Qiang Liu, Shu Wu, Liang Wang
2024	J	`jnl`	Can Large Language Models Detect Rumors on Social Media? CoRR Qiang Liu, Xiang Tao, Junfei Wu, Shu Wu, Liang Wang
2024	—	`conf`	Logical Closed Loop: Uncovering Object Hallucinations in Large Vision-Language Models. ACL (Findings) Junfei Wu, Qiang Liu, Ding Wang, Jinghao Zhang, Shu Wu, Liang Wang, Tieniu Tan
2024	J	`jnl`	Logical Closed Loop: Uncovering Object Hallucinations in Large Vision-Language Models. CoRR Junfei Wu, Qiang Liu, Ding Wang, Jinghao Zhang, Shu Wu, Liang Wang, Tieniu Tan
2024	J	`jnl`	MME-RealWorld: Could Your Multimodal LLM Challenge High-Resolution Real-World Scenarios that are Difficult for Humans? CoRR Yifan Zhang, Huanyu Zhang, Haochen Tian, Chaoyou Fu, Shuangqing Zhang, Junfei Wu, Feng Li, Kun Wang, Qingsong Wen, Zhang Zhang, Liang Wang, Rong Jin, Tieniu Tan
2024	J	`jnl`	Out-of-Distribution Evidence-Aware Fake News Detection via Dual Adversarial Debiasing. IEEE Trans. Knowl. Data Eng. Qiang Liu, Junfei Wu, Shu Wu, Liang Wang
2024	J	`jnl`	Uni-Modal Event-Agnostic Knowledge Distillation for Multimodal Fake News Detection. IEEE Trans. Knowl. Data Eng. Guofan Liu, Jinghao Zhang, Qiang Liu, Junfei Wu, Shu Wu, Liang Wang
2023	J	`jnl`	Out-of-distribution Evidence-aware Fake News Detection via Dual Adversarial Debiasing. CoRR Qiang Liu, Junfei Wu, Shu Wu, Liang Wang
2022	J	`jnl`	Adversarial Contrastive Learning for Evidence-aware Fake News Detection with Graph Neural Networks. CoRR Junfei Wu, Weizhi Xu, Qiang Liu, Shu Wu, Liang Wang
2022	A*	`conf`	Bias Mitigation for Evidence-aware Fake News Detection by Causal Intervention. SIGIR Junfei Wu, Qiang Liu, Weizhi Xu, Shu Wu
2022	A*	`conf`	Evidence-aware Fake News Detection with Graph Neural Networks. WWW Weizhi Xu, Junfei Wu, Qiang Liu, Shu Wu, Liang Wang
2022	J	`jnl`	Mining Fine-grained Semantics via Graph Neural Networks for Evidence-based Fake News Detection. CoRR Weizhi Xu, Junfei Wu, Qiang Liu, Shu Wu, Liang Wang
2020	J	`jnl`	SRDT: A Novel Robust RGB-D Tracker Based on Siamese Region Proposal Network and Depth Information. Int. J. Pattern Recognit. Artif. Intell. Zhen Sun, Junfei Wu, Lu Wang, Qingdang Li