SRDT: A Novel Robust RGB-D Tracker Based on Siamese Region Proposal Network and Depth Information. - Zhen Sun; Junfei Wu; Lu Wang; Qingdang Li (Int. J. Pattern Recognit. Artif. Intell., 2020)

Bias Mitigation for Evidence-aware Fake News Detection by Causal Intervention. - Junfei Wu; Qiang Liu 006; Weizhi Xu 002; Shu Wu (SIGIR, 2022)

Evidence-aware Fake News Detection with Graph Neural Networks. - Weizhi Xu 002; Junfei Wu; Qiang Liu 006; Shu Wu; Liang Wang 001 (WWW, 2022)

Mining Fine-grained Semantics via Graph Neural Networks for Evidence-based Fake News Detection. - Weizhi Xu 002; Junfei Wu; Qiang Liu 006; Shu Wu; Liang Wang 001 (CoRR, 2022)

Logical Closed Loop: Uncovering Object Hallucinations in Large Vision-Language Models. - Junfei Wu; Qiang Liu 006; Ding Wang; Jinghao Zhang; Shu Wu; Liang Wang 001; Tieniu Tan (ACL (Findings), 2024)

Can Large Language Models Detect Rumors on Social Media? - Qiang Liu 006; Xiang Tao; Junfei Wu; Shu Wu; Liang Wang 001 (CoRR, 2024)

MME-RealWorld: Could Your Multimodal LLM Challenge High-Resolution Real-World Scenarios that are Difficult for Humans? - Yifan Zhang 004; Huanyu Zhang; Haochen Tian; Chaoyou Fu; Shuangqing Zhang; Junfei Wu; Feng Li; Kun Wang 042; Qingsong Wen; Zhang Zhang 001; Liang Wang 001; Rong Jin 001; et al. (CoRR, 2024)

Out-of-Distribution Evidence-Aware Fake News Detection via Dual Adversarial Debiasing. - Qiang Liu 006; Junfei Wu; Shu Wu; Liang Wang 001 (IEEE Trans. Knowl. Data Eng., 2024)

Adversarial Contrastive Learning for Evidence-Aware Fake News Detection With Graph Neural Networks. - Junfei Wu; Weizhi Xu 002; Qiang Liu 006; Shu Wu; Liang Wang 001 (IEEE Trans. Knowl. Data Eng., 2024)

Uni-Modal Event-Agnostic Knowledge Distillation for Multimodal Fake News Detection. - Guofan Liu; Jinghao Zhang; Qiang Liu 006; Junfei Wu; Shu Wu; Liang Wang 001 (IEEE Trans. Knowl. Data Eng., 2024)

A Survey on Personalized Alignment - The Missing Piece for Large Language Models in Real-World Applications. - Jian Guan 002; Junfei Wu; Jia-Nan Li; Chuanqi Cheng; Wei Wu 014 (ACL (Findings), 2025)

Mixture of Decoding: An Attention-Inspired Adaptive Decoding Strategy to Mitigate Hallucinations in Large Vision-Language Models. - Xinlong Chen; Yuanxing Zhang; Qiang Liu 006; Junfei Wu; Fuzheng Zhang; Tieniu Tan (ACL (Findings), 2025)

MME-RealWorld: Could Your Multimodal LLM Challenge High-Resolution Real-World Scenarios that are Difficult for Humans? - Yifan Zhang 004; Huanyu Zhang; Haochen Tian; Chaoyou Fu; Shuangqing Zhang; Junfei Wu; Feng Li; Kun Wang 056; Qingsong Wen; Zhang Zhang 001; Liang Wang 001; Rong Jin 001 (ICLR, 2025)

STRIVE: Structured Reasoning for Self-Improvement in Claim Verification. - Haisong Gong; Jing Li 036; Junfei Wu; Qiang Liu 006; Shu Wu; Liang Wang 001 (CoRR, 2025)

Reinforcing Spatial Reasoning in Vision-Language Models with Interwoven Thinking and Visual Drawing. - Junfei Wu; Jian Guan 002; Kaituo Feng; Qiang Liu 006; Shu Wu; Liang Wang 001; Wei Wu 014; Tieniu Tan (CoRR, 2025)