Wenya Wang

According to our database, Wenya Wang authored at least 39 papers between 2016 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Enhancing Zero-Shot Image Recognition in Vision-Language Models through Human-like Concept Guidance.

Hui Liu, Wenya Wang, Kecheng Chen, Jie Liu, Yibing Liu, Tiexin Qin, Peisong He, Xinghao Jiang, Haoliang Li

CoRR, March, 2025

Damage Analysis via Bidirectional Multi-Task Cascaded Multimodal Fusion.

Tao Liang, Siying Wu, Junfeng Fang, Guowu Yang, Wenya Wang, Fengmao Lv

Proceedings of the ACM on Web Conference 2025, 2025

Reinforcing Compositional Retrieval: Retrieving Step-by-Step for Composing Informative Contexts.

Quanyu Long, Jianda Chen, Zhengyuan Liu, Nancy F. Chen, Wenya Wang, Sinno Jialin Pan

Proceedings of the Findings of the Association for Computational Linguistics, 2025

Unraveling the Mechanics of Learning-Based Demonstration Selection for In-Context Learning.

Hui Liu, Wenya Wang, Hao Sun, Chris Xing Tian, Chenqi Kong, Xin Dong, Haoliang Li

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

Re2LLM: Reflective Reinforcement Large Language Model for Session-based Recommendation.

Ziyan Wang, Yingpeng Du, Zhu Sun, Haoyan Chua, Kaidong Feng, Wenya Wang, Jie Zhang

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

Progressive Multigranularity Information Propagation for Coupled Aspect-Opinion Extraction.

Fengmao Lv, Tao Liang, Zhihui Fei, Wenya Wang

IEEE Trans. Neural Networks Learn. Syst., June, 2024

Robust Domain Misinformation Detection via Multi-Modal Feature Alignment.

Hui Liu, Wenya Wang, Hao Sun, Anderson Rocha, Haoliang Li

IEEE Trans. Inf. Forensics Secur., 2024

Large Language Models Know What Makes Exemplary Contexts.

Quanyu Long, Jianda Chen, Wenya Wang, Sinno Jialin Pan

CoRR, 2024

Decomposing Label Space, Format and Discrimination: Rethinking How LLMs Respond and Solve Tasks via In-Context Learning.

Quanyu Long, Yin Wu, Wenya Wang, Sinno Jialin Pan

CoRR, 2024

Backdoor Attacks on Dense Passage Retrievers for Disseminating Misinformation.

Quanyu Long, Yue Deng, Leilei Gan, Wenya Wang, Sinno Jialin Pan

CoRR, 2024

Generative Multimodal Data Augmentation for Low-Resource Multimodal Named Entity Recognition.

Ziyan Li, Jianfei Yu, Jia Yang, Wenya Wang, Li Yang, Rui Xia

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Sentiment-oriented Sarcasm Integration for Video Sentiment Analysis Enhancement with Sarcasm Assistance.

Junlin Fang, Wenya Wang, Guosheng Lin, Fengmao Lv

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Progressive Multimodal Pivot Learning: Towards Semantic Discordance Understanding as Humans.

Junlin Fang, Wenya Wang, Tianze Luo, Yanyong Huang, Fengmao Lv

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

TELLER: A Trustworthy Framework for Explainable, Generalizable and Controllable Fake News Detection.

Hui Liu, Wenya Wang, Haoru Li, Haoliang Li

Proceedings of the Findings of the Association for Computational Linguistics, 2024

Are Machines Better at Complex Reasoning? Unveiling Human-Machine Inference Gaps in Entailment Verification.

Soumya Sanyal, Tianyi Xiao, Jiacheng Liu, Wenya Wang, Xiang Ren

Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023

Adapt in Contexts: Retrieval-Augmented Domain Adaptation via In-Context Learning.

Quanyu Long, Wenya Wang, Sinno Jialin Pan

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Vera: A General-Purpose Plausibility Estimation Model for Commonsense Statements.

Jiacheng Liu, Wenya Wang, Dianzhuo Wang, Noah A. Smith, Yejin Choi, Hannaneh Hajishirzi

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Elaboration-Generating Commonsense Question Answering at Scale.

Wenya Wang, Vivek Srikumar, Hannaneh Hajishirzi, Noah A. Smith

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Interpretable Multimodal Misinformation Detection with Logic Reasoning.

Hui Liu, Wenya Wang, Haoliang Li

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022

Weakly Supervised Domain Adaptation for Aspect Extraction via Multilevel Interaction Transfer.

Tao Liang, Wenya Wang, Fengmao Lv

IEEE Trans. Neural Networks Learn. Syst., 2022

Domain Confused Contrastive Learning for Unsupervised Domain Adaptation.

Quanyu Long, Tianze Luo, Wenya Wang, Sinno Jialin Pan

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Towards Multi-Modal Sarcasm Detection via Hierarchical Congruity Modeling with Knowledge Enhancement.

Hui Liu, Wenya Wang, Haoliang Li

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Deep Inductive Logic Reasoning for Multi-Hop Reading Comprehension.

Wenya Wang, Sinno Jialin Pan

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021

Variational Deep Logic Network for Joint Inference of Entities and Relations.

Wenya Wang, Sinno Jialin Pan

Comput. Linguistics, 2021

2020

Weakly-supervised Domain Adaption for Aspect Extraction via Multi-level Interaction Transfer.

Tao Liang, Wenya Wang, Fengmao Lv

CoRR, 2020

Deep Weighted MaxSAT for Aspect-based Opinion Extraction.

Meixi Wu, Wenya Wang, Sinno Jialin Pan

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Integrating Deep Learning with Logic Fusion for Information Extraction.

Wenya Wang, Sinno Jialin Pan

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Syntactically Meaningful and Transferable Recursive Neural Networks for Aspect and Opinion Extraction.

Wenya Wang, Sinno Jialin Pan

Comput. Linguistics, 2019

MetaQuant: Learning to Quantize by Learning to Penetrate Non-differentiable Quantization.

Shangyu Chen, Wenya Wang, Sinno Jialin Pan

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Cooperative Pruning in Cross-Domain Deep Neural Network Compression.

Shangyu Chen, Wenya Wang, Sinno Jialin Pan

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Transferable Interactive Memory Network for Domain Adaptation in Fine-Grained Opinion Extraction.

Wenya Wang, Sinno Jialin Pan

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

Deep Neural Network Quantization via Layer-Wise Optimization Using Limited Training Data.

Shangyu Chen, Wenya Wang, Sinno Jialin Pan

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Deep interactive learning for fine-grained opinion mining : single-domain, cross-domain & cross-lingual

Wenya Wang

PhD thesis, 2018

Memory networks for fine-grained opinion mining.

Wenya Wang, Sinno Jialin Pan, Daniel Dahlmeier

Artif. Intell., 2018

Transition-based Adversarial Network for Cross-lingual Aspect Extraction.

Wenya Wang, Sinno Jialin Pan

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Recursive Neural Structural Correspondence Network for Cross-domain Aspect and Opinion Co-Extraction.

Wenya Wang, Sinno Jialin Pan

Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

2017

Multi-task Coupled Attentions for Category-specific Aspect and Opinion Terms Co-extraction.

Wenya Wang, Sinno Jialin Pan, Daniel Dahlmeier

CoRR, 2017

Coupled Multi-Layer Attentions for Co-Extraction of Aspect and Opinion Terms.

Wenya Wang, Sinno Jialin Pan, Daniel Dahlmeier, Xiaokui Xiao

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016

Recursive Neural Conditional Random Fields for Aspect-based Sentiment Analysis.

Wenya Wang, Sinno Jialin Pan, Daniel Dahlmeier, Xiaokui Xiao

Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, 2016