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Author

Shi Feng

Observed name: Feng Shi
ORCID: 0009-0002-3600-3126
Observed ORCIDs: 0009-0002-3600-3126, 0000-0002-2846-7652
OpenAlex ID: A5139848086
Affective computing in the era of large language models: A survey from the NLP perspective
2026 · Yiqun Zhang, Xiaocui Yang, et al. · Knowledge-Based Systems · 12
SAFE-QAQ: End-to-End Slow-Thinking Audio-Text Fraud Detection via Reinforcement Learning
2026 · Peidong Wang, Zhiming Ma, et al. · Annual Meeting of the Association for Computational Linguistics (ACL) · 1
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Resource-Limited Joint Multimodal Sentiment Reasoning and Classification via Chain-of-Thought Enhancement and Distillation
2026 · Haonan Shangguan, Xiaocui Yang, et al. · 1
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Nature-Inspired Population-Based Evolution of Large Language Models
2026 · Yiqun Zhang, Peng Ye, et al. · Annual Meeting of the Association for Computational Linguistics (ACL) · 1
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Data from AL2846, a Novel Multi-Kinase Inhibitor, for Previously Treated Radioiodine-Refractory Differentiated Thyroid Cancer: Exploratory Clinical Results From the Phase Ib Study
2026 · Feng Shi, Wenwen Chai, et al.
Supplementary figure 1 from AL2846, a Novel Multi-Kinase Inhibitor, for Previously Treated Radioiodine-Refractory Differentiated Thyroid Cancer: Exploratory Clinical Results From the Phase Ib Study
2026 · Feng Shi, Wenwen Chai, et al.
Supplementary figure 2 from AL2846, a Novel Multi-Kinase Inhibitor, for Previously Treated Radioiodine-Refractory Differentiated Thyroid Cancer: Exploratory Clinical Results From the Phase Ib Study
2026 · Feng Shi, Wenwen Chai, et al.
Supplementary Data1 from AL2846, a Novel Multi-Kinase Inhibitor, for Previously Treated Radioiodine-Refractory Differentiated Thyroid Cancer: Exploratory Clinical Results From the Phase Ib Study
2026 · Feng Shi, Wenwen Chai, et al.
AL2846, a Novel Multi-Kinase Inhibitor, for Previously Treated Radioiodine-Refractory Differentiated Thyroid Cancer: Exploratory Clinical Results From the Phase Ib Study
2026 · Feng Shi, Wenwen Chai, et al. · Clinical Cancer Research
NEAT: Neuron-Based Early Exit for Large Reasoning Models
2026 · Kang Liu, YongKang Liu, et al.
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Look Within or Beyond? A Theoretical Comparison Between Parameter-Efficient and Full Fine-Tuning
2026 · YongKang Liu, Xingle Xu, et al. · Annual Meeting of the Association for Computational Linguistics (ACL)
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RATION: Entropy-Driven Task-Adaptive Visual Attention Allocation Framework for Multimodal Reasoning
2026 · Xingle Xu, Fanheng Kong, et al.
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CIRAG: Construction–Integration Retrieval and Adaptive Generation for Multi-hop Question Answering
2026 · Zili Wei, Yilin Wang, et al. · Annual Meeting of the Association for Computational Linguistics (ACL)
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MTRouter: Cost-Aware Multi-Turn LLM Routing with History–Model Joint Embeddings
2026 · Yiqun Zhang, Hao Li, et al. · Annual Meeting of the Association for Computational Linguistics (ACL)
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ES4R: Speech Encoding Based on Prepositive Affective Modeling for Empathetic Response Generation
2026 · Zhuoyue Gao, Xiaohui Wang, et al. · Annual Meeting of the Association for Computational Linguistics (ACL)
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JX4MEI: Multimodal Semantically-Enhanced LLM for Joint Multimodal Emotion-Intent Explanation and Classification
2026 · YiJie Huang, Xiaocui Yang, et al.
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MoLAN: A Unified Modality-Aware Noise Dynamic Editing Framework for Multimodal Sentiment Analysis
2026 · Xingle Xu, YongKang Liu, et al.
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SAD: A Large-Scale Strategic Argumentative Dialogue Dataset
2026 · YongKang Liu, Jiayang Yu, et al. · Annual Meeting of the Association for Computational Linguistics (ACL)
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Cat-MoD: Accelerating Multimodal Alignment via Caption Token Guided Asymmetric Mixture-of-Depths
2026 · YiJie Huang, Xiaocui Yang, et al. · Annual Meeting of the Association for Computational Linguistics (ACL)
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GenPT: Beyond Self-Report for Reliable LLM Psychometrics via Generative Projective Testing
2026 · Ming Wang, Shuang Wu, et al. · Annual Meeting of the Association for Computational Linguistics (ACL)
DeepMed: Building a Medical DeepResearch Agent via Multi-hop Med-Search Data and Turn-Controlled Agentic Training & Inference
2026 · Zihan Wang, Hao Wang, et al.
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PlaM: Training-Free Plateau-Guided Model Merging for Better Visual Grounding in MLLMs
2026 · Zijing Wang, YongKang Liu, et al.
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DR-HM: Distill-then-Reinforce Training with Cognition-Aware Data Synthesis for Harmful Meme Detection
2026 · Zihan Cheng, Jianxiang Ma, et al.
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Works count: 23
Citation count: 15
H-index: 1
I10-index: 1
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