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Junfeng Tian

14 papers · 2016–2025 · 5 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

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+4 more ↓ 🐣 Hot Topic Early Bird 🌍 Conference Polyglot · Silver 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Silver 🗺️ Taxonomy Completionist (41)
🧬 Topic Evolution 💎 Century Club · Bronze 🔥 Unstoppable · Bronze 🗃️ Keyword Collector (74)

Papers

P-React: Synthesizing Topic-Adaptive Reactions of Personality Traits via Mixture of Specialized LoRA Experts ACL 2025 Untie the Knots: An Efficient Data Augmentation Strategy for Long-Context Pre-Training in Language Models ACL 2025 RethinkingTMSC: An Empirical Study for Target-Oriented Multimodal Sentiment Classification EMNLP 2023 UReader: Universal OCR-free Visually-situated Language Understanding with Multimodal Large Language Model EMNLP 2023 mPLUG: Effective and Efficient Vision-Language Learning by Cross-modal Skip-connections EMNLP 2022 Shifting More Attention to Visual Backbone: Query-Modulated Refinement Networks for End-to-End Visual Grounding CVPR 2022 WikiDiverse: A Multimodal Entity Linking Dataset with Diversified Contextual Topics and Entity Types ACL 2022 MinD at SemEval-2021 Task 6: Propaganda Detection using Transfer Learning and Multimodal Fusion SemEval 2021 Multi-Domain Dialogue Acts and Response Co-Generation ACL 2020 SentiX: A Sentiment-Aware Pre-Trained Model for Cross-Domain Sentiment Analysis COLING 2020 Attention Optimization for Abstractive Document Summarization EMNLP 2019 ECNU at SemEval-2018 Task 12: An End-to-End Attention-based Neural Network for the Argument Reasoning Comprehension Task SemEval 2018 ECNU at SemEval-2017 Task 1: Leverage Kernel-based Traditional NLP features and Neural Networks to Build a Universal Model for Multilingual and Cross-lingual Semantic Textual Similarity SemEval 2017 ECNU at SemEval-2016 Task 1: Leveraging Word Embedding From Macro and Micro Views to Boost Performance for Semantic Textual Similarity SemEval 2016