Lianwei Wu - RankMe

51 papers A* 11A 1B 2C 1Misc 1Journal 27Unranked 8

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	ALDA: Enhancing the transferability of adversarial attacks with attention-guided look-ahead and data augmentation. Pattern Recognit. Sensen Guo, Baocang Wang, Xiaoyu Li, Peican Zhu, Lianwei Wu, Wenning Wu, Lin Jia
2026	A*	`conf`	Cognitive Enhancement Chain-of-Thought Towards Enhancing Style Learning and Content Preservation for Long Style Transfer. AAAI Lianwei Wu, Botao Wang, Wenbo An, Tieqiao Li, Xianghua Li
2026	A*	`conf`	Multi-level Style Preference Optimization: An Adaptive Detection Framework for Human-Machine Hybrid Text. AAAI Zehao Wang, Lianwei Wu, Wenbo An, Hang Zhang, Yaxiong Wang
2026	J	`jnl`	PGPL: enhancing spatial awareness abilities of multimodal large language models based on precise geometric position learning. Sci. China Inf. Sci. Yongqiang Zhao, Zhenyu Li, Zhi Jin, Feng Zhang, Ziliang Wang, Lianwei Wu, Chengfeng Dou, Haiyan Zhao, Xinhai Xu
2026	J	`jnl`	Process Over Outcome: Cultivating Forensic Reasoning for Generalizable Multimodal Manipulation Detection. CoRR Yuchen Zhang, Yaxiong Wang, Kecheng Han, Yujiao Wu, Lianwei Wu, Li Zhu, Zhedong Zheng
2025	A*	`conf`	A Prior-based Discrete Diffusion Model for Social Graph Generation. IJCAI Shu Yin, Dongpeng Hou, Lianwei Wu, Xianghua Li, Chao Gao
2025	J	`jnl`	A Survey of Multimodal Fake News Detection: A Cross-Modal Interaction Perspective. IEEE Trans. Emerg. Top. Comput. Intell. Xianghua Li, Jiao Qiao, Shu Yin, Lianwei Wu, Chao Gao, Zhen Wang, Xuelong Li
2025	A*	`conf`	Beyond General Alignment: Fine-Grained Entity-Centric Image-Text Matching with Multimodal Attentive Experts. SIGIR Yaxiong Wang, Lianwei Wu, Lechao Cheng, Zhun Zhong, Yujiao Wu, Meng Wang
2025	A*	`conf`	Distilling Structured Rationale from Large Language Models to Small Language Models for Abstractive Summarization. AAAI Linyong Wang, Lianwei Wu, Shaoqi Song, Yaxiong Wang, Cuiyun Gao, Kang Wang
2025	J	`jnl`	EvalSVA: Multi-Agent Evaluators for Next-Gen Software Vulnerability Assessment. CoRR Xin-Cheng Wen, Jiaxin Ye, Cuiyun Gao, Lianwei Wu, Qing Liao
2025	J	`jnl`	Improving multimodal fake news detection by leveraging cross-modal content correlation. Inf. Process. Manag. Jiao Qiao, Xianghua Li, Chao Gao, Lianwei Wu, Junwei Feng, Zhen Wang
2025	B	`conf`	PREF: A Personalized Retrieval-Evolution Framework for Enhancing Large Language Models on General Text Tasks. IJCNN Shaoqi Song, Lianwei Wu, Linyong Wang
2025	B	`conf`	SEER: Semantic Enhancement and Emotional Reasoning Network for Multimodal Fake News Detection. SMC Peican Zhu, Yubo Jing, Le Cheng, Bin Chen, Xiaodong Cui, Lianwei Wu, Keke Tang
2025	J	`jnl`	SEER: Semantic Enhancement and Emotional Reasoning Network for Multimodal Fake News Detection. CoRR Peican Zhu, Yubo Jing, Le Cheng, Bin Chen, Xiaodong Cui, Lianwei Wu, Keke Tang
2025	J	`jnl`	TFGIN: Tight-Fitting Graph Inference Network for Table-based Fact Verification. ACM Trans. Inf. Syst. Lianwei Wu, Kang Wang, Kunlin Nie, Sensen Guo, Chao Gao, Zhen Wang, Shudong Li
2025	J	`jnl`	The Coherence Trap: When MLLM-Crafted Narratives Exploit Manipulated Visual Contexts. CoRR Yuchen Zhang, Yaxiong Wang, Yujiao Wu, Lianwei Wu, Li Zhu
2025	J	`jnl`	Towards Unified Multimodal Misinformation Detection in Social Media: A Benchmark Dataset and Baseline. CoRR Haiyang Li, Yaxiong Wang, Lianwei Wu, Lechao Cheng, Zhun Zhong
2025	Misc	`conf`	Try Before You Buy: Solving Multi-Model Complex Tasks by Model Competitions. ICASSP Yongqiang Zhao, Zhenyu Li, Zhi Jin, Feng Zhang, Lianwei Wu, Xinhai Xu, Donghong Liu
2024	J	`jnl`	EntityCLIP: Entity-Centric Image-Text Matching via Multimodal Attentive Contrastive Learning. CoRR Yaxiong Wang, Lianwei Wu, Lechao Cheng, Zhun Zhong, Meng Wang
2024	—	`conf`	EvalGPT: A Visual Analytic Framework for Enhancing Trust in Large Language Models. VLDB Workshops Xu Yang, Yiheng Liang, Le Liu, Lianwei Wu, Xiaoru Yuan
2024	A*	`conf`	GAMC: An Unsupervised Method for Fake News Detection Using Graph Autoencoder with Masking. AAAI Shu Yin, Peican Zhu, Lianwei Wu, Chao Gao, Zhen Wang
2024	J	`jnl`	Heuristic Heterogeneous Graph Reasoning Networks for Fact Verification. IEEE Trans. Neural Networks Learn. Syst. Lianwei Wu, Dengxiu Yu, Pusheng Liu, Chao Gao, Zhen Wang
2024	J	`jnl`	Human Cognition-Based Consistency Inference Networks for Multi-Modal Fake News Detection. IEEE Trans. Knowl. Data Eng. Lianwei Wu, Pusheng Liu, Yongqiang Zhao, Peng Wang, Yanning Zhang
2024	—	`conf`	Step-by-Step: Controlling Arbitrary Style in Text with Large Language Models. LREC/COLING Pusheng Liu, Lianwei Wu, Linyong Wang, Sensen Guo, Yang Liu
2024	A*	`conf`	Unified Evidence Enhancement Inference Framework for Fake News Detection. IJCAI Lianwei Wu, Linyong Wang, Yongqiang Zhao
2023	J	`jnl`	Category-Controlled Encoder-Decoder for Fake News Detection. IEEE Trans. Knowl. Data Eng. Lianwei Wu, Yuan Rao, Cong Zhang, Yongqiang Zhao, Ambreen Nazir
2023	—	`conf`	Chinese Relation Extraction with Bi-directional Context-Based Lattice LSTM. KSEM (3) Chengyi Ding, Lianwei Wu, Pusheng Liu, Linyong Wang
2023	J	`jnl`	Context-aware style learning and content recovery networks for neural style transfer. Inf. Process. Manag. Lianwei Wu, Pusheng Liu, Yuheng Yuan, Siying Liu, Yanning Zhang
2023	J	`jnl`	Fighting False Information from Propagation Process: A Survey. ACM Comput. Surv. Ling Sun, Yuan Rao, Lianwei Wu, Xiangbo Zhang, Yuqian Lan, Ambreen Nazir
2023	J	`jnl`	MFIR: Multimodal fusion and inconsistency reasoning for explainable fake news detection. Inf. Fusion Lianwei Wu, Yuzhou Long, Chao Gao, Zhen Wang, Yanning Zhang
2023	A*	`conf`	See How You Read? Multi-Reading Habits Fusion Reasoning for Multi-Modal Fake News Detection. AAAI Lianwei Wu, Pusheng Liu, Yanning Zhang
2022	J	`jnl`	An Adaptive Clustering-Based Algorithm for Automatic Path Planning of Heterogeneous UAVs. IEEE Trans. Intell. Transp. Syst. Jinchao Chen, Ying Zhang, Lianwei Wu, Tao You, Xin Ning
2022	J	`jnl`	IAF-LG: An Interactive Attention Fusion Network With Local and Global Perspective for Aspect-Based Sentiment Analysis. IEEE Trans. Affect. Comput. Ambreen Nazir, Yuan Rao, Lianwei Wu, Ling Sun
2022	J	`jnl`	Issues and Challenges of Aspect-based Sentiment Analysis: A Comprehensive Survey. IEEE Trans. Affect. Comput. Ambreen Nazir, Yuan Rao, Lianwei Wu, Ling Sun
2022	—	`conf`	Zero-shot Cross-lingual Conversational Semantic Role Labeling. NAACL-HLT (Findings) Han Wu, Haochen Tan, Kun Xu, Shuqi Liu, Lianwei Wu, Linqi Song
2022	J	`jnl`	Zero-shot Cross-lingual Conversational Semantic Role Labeling. CoRR Han Wu, Haochen Tan, Kun Xu, Shuqi Liu, Lianwei Wu, Linqi Song
2021	A*	`conf`	Evidence Inference Networks for Interpretable Claim Verification. AAAI Lianwei Wu, Yuan Rao, Ling Sun, Wangbo He
2021	—	`conf`	Unified Dual-view Cognitive Model for Interpretable Claim Verification. ACL/IJCNLP (1) Lianwei Wu, Yuan Rao, Yuqian Lan, Ling Sun, Zhaoyin Qi
2021	J	`jnl`	Unified Dual-view Cognitive Model for Interpretable Claim Verification. CoRR Lianwei Wu, Yuan Rao, Yuqian Lan, Ling Sun, Zhaoyin Qi
2020	A	`conf`	Adaptive Interaction Fusion Networks for Fake News Detection. ECAI Lianwei Wu, Yuan Rao
2020	J	`jnl`	Adaptive Interaction Fusion Networks for Fake News Detection. CoRR Lianwei Wu, Yuan Rao
2020	A*	`conf`	DTCA: Decision Tree-based Co-Attention Networks for Explainable Claim Verification. ACL Lianwei Wu, Yuan Rao, Yongqiang Zhao, Hao Liang, Ambreen Nazir
2020	J	`jnl`	DTCA: Decision Tree-based Co-Attention Networks for Explainable Claim Verification. CoRR Lianwei Wu, Yuan Rao, Yongqiang Zhao, Hao Liang, Ambreen Nazir
2020	J	`jnl`	Discovering differential features: Adversarial learning for information credibility evaluation. Inf. Sci. Lianwei Wu, Yuan Rao, Ambreen Nazir, Haolin Jin
2020	A*	`conf`	Evidence-Aware Hierarchical Interactive Attention Networks for Explainable Claim Verification. IJCAI Lianwei Wu, Yuan Rao, Xiong Yang, Wanzhen Wang, Ambreen Nazir
2020	—	`conf`	Image Captioning Algorithm Based on Sufficient Visual Information and Text Information. ICONIP (5) Yongqiang Zhao, Yuan Rao, Lianwei Wu, Cong Feng
2019	—	`conf`	Different Absorption from the Same Sharing: Sifted Multi-task Learning for Fake News Detection. EMNLP/IJCNLP (1) Lianwei Wu, Yuan Rao, Haolin Jin, Ambreen Nazir, Ling Sun
2019	J	`jnl`	Different Absorption from the Same Sharing: Sifted Multi-task Learning for Fake News Detection. CoRR Lianwei Wu, Yuan Rao, Haolin Jin, Ambreen Nazir, Ling Sun
2019	J	`jnl`	Discovering Differential Features: Adversarial Learning for Information Credibility Evaluation. CoRR Lianwei Wu, Yuan Rao, Ambreen Nazir, Haolin Jin
2018	—	`conf`	False Information Detection on Social Media via a Hybrid Deep Model. SocInfo (2) Lianwei Wu, Yuan Rao, Hualei Yu, Yiming Wang, Ambreen Nazir
2017	C	`conf`	A Review of Sentiment Semantic Analysis Technology and Progress. CIS Yiming Wang, Yuan Rao, Lianwei Wu