Publications

2027

1. 

   IntentSafe-CN: A Multi-Layer Diagnostic Benchmark for Intent-Aware Chinese Harmful Content Detection

   Gang Xie and others

   In Proceedings of the AAAI Conference on Artificial Intelligence, 2027

   Under review; co-first author

   Abs

   A multi-layer diagnostic benchmark that makes surface-form variants, targets, emotions, and communicative intent observable for Chinese content-safety evaluation.

2. 

   HPC-Net: A Brain-Inspired Isolation-Integration Framework for Robust Multi-Dataset Multimodal Emotion Recognition

   Gang Xie and others

   In Proceedings of the AAAI Conference on Artificial Intelligence, 2027

   Under review; first author

   Abs

   HPC-Net separates auxiliary supervision from target optimization and uses target-conditioned integration to transfer useful representations across heterogeneous affective-computing datasets.

2026

1. 

   From Enumeration to Principle: Robust Prompt Optimization via Semantic Reflection and Multi-Objective Evolution

   Gang Xie and others

   In Findings of the Association for Computational Linguistics: EMNLP 2026, 2026

   Accepted; first author

   Abs HTML

   PROSE uses semantic reflection, multi-objective evolution, and ensemble-based selection to reduce shortcut learning in prompt optimization for adversarial tasks.

2. 

   NeuroSIFT: A Biologically-Inspired Framework with Explicit Signal-Noise Separation for Robust Multimodal Emotion Recognition

   Gang Xie and others

   In 2026 IEEE International Conference on Acoustics, Speech, and Signal Processing, 2026

   Accepted; first author

   Abs HTML

   NeuroSIFT explicitly separates emotional signals from structured noise with biologically inspired selective inhibition and dual-stream adversarial training.

3. 

   Cognition-driven Adaptive Semantic Decoding Framework for Multimodal Sentiment Analysis

   Gang Xie and others

   ACM Transactions on Multimedia Computing, Communications, and Applications, 2026

   Accepted; student first author

   Abs HTML

   A cognition-driven framework for adapting to arbitrary modality combinations and aligning heterogeneous sentiment evaluation spaces.

4. 

   Cognition-Guided Coupled Learning for Camouflaged Object Detection

   Gang Xie and others

   IEEE Transactions on Human-Machine Systems, 2026

   Accepted; student second author

   Abs HTML

   A cognitive-visual coupling framework that uses EEG during training to improve visual-only camouflaged object detection at inference time.

5. A Prompt Generation Method and System Based on Large Language Model Semantic Reflection and Multi-Objective Evolution

   Gang Xie and others

   2026

   Chinese invention patent, CN121960463A; first inventor; published 2026-05-01

2025

1. A Cognition-Driven Progressive Alignment and Modality-Adaptive Multimodal Emotion Recognition Method and System

   Gang Xie and others

   2025

   Chinese invention patent, CN120408405A; student first inventor; published 2025-08-01