Papers
Invariant Representation Learning for Memory Behavior Modeling via Adaptive Environment Separation
Xiaoxuan Shen, Zhihai Hu, Fuqing Li et al.
SCORE: Semantic Collage by Optimizing Rendered Elements
Zefan Shao, Jin Zhou, Hongliang Yang et al.
Emotion-Coherent Reasoning for Multimodal LLMs via Emotional Rationale Verifier
Hyeongseop Rha, Jeong Hun Yeo, Yeonju Kim et al.
A Network of Biologically Inspired Rectified Spectral Units (ReSUs) Learns Hierarchical Features Without Error Backpropagation
Shanshan Qin, Joshua L. Pughe-Sanford, Alexander Genkin et al.
Modelling the Effects of Hearing Loss on Neural Coding in the Auditory Midbrain with Variational Conditioning
Lloyd Pellatt, Fotios Drakopoulos, Shievanie Sabesan et al.
SteerMusic: Enhanced Musical Consistency for Zero-shot Text-Guided and Personalized Music Editing
Xinlei Niu, Kin Wai Cheuk, Jing Zhang et al.
Agentic Design Review System
Sayan Nag, Joseph K J, Koustava Goswami et al.
I2E: Real-Time Image-to-Event Conversion for High-Performance Spiking Neural Networks
Ruichen Ma, Liwei Meng, Guanchao Qiao et al.
Temporal Dynamics Enhancer for Directly Trained Spiking Object Detectors
Fan Luo, Zeyu Gao, Xinhao Luo et al.
Mind the Gap: The Divergence Between Human and LLM-Generated Tasks
Yi-Long Lu, Jiajun Song, Chunhui Zhang et al.
FINE: Factorized Multimodal Sentiment Analysis via Mutual INformation Estimation
Yadong Liu, Shangfei Wang
A Closer Look at Knowledge Distillation in Spiking Neural Network Training
Xu Liu, Na Xia, Jinxing Zhou et al.
HardF-SNN: Hardware-Friendly Quantization for Spiking Neural Networks with Efficient Integer-Arithmetic-Only Inference
Hanwen Liu, Kexin Shi, Jieyuan Zhang et al.
Explainable Depression Assessment from Face Videos by Weakly Supervised Learning
Rongfan Liao, Xiangyu Kong, Shiqing Tang et al.
MAUGen: A Unified Diffusion Approach for Multi-Identity Facial Expression and AU Label Generation
Xiangdong Li, Ye Lou, Ao Gao et al.
DCHO: A Decomposition–Composition Framework for Predicting Higher-Order Brain Connectivity to Enhance Diverse Downstream Applications
Weibin Li, Wendu Li, Quanying Liu
ARCHE: A Novel Task to Evaluate LLMs on Latent Reasoning Chain Extraction
Pengze Li, Jiaqi Liu, Junchi Yu et al.
AgentSense: Virtual Sensor Data Generation Using LLM Agents in Simulated Home Environments
Zikang Leng, Megha Thukral, Yaqi Liu et al.
MASP: Multi-Aspect Guided Emotion Reasoning with Soft Prompt Tuning In Vision-Language Models
SangEun Lee, Yubeen Lee, Eunil Park et al.
Learning Personalised Human Internal Cognition from External Expressive Behaviours for Real Personality Recognition
Xiangyu Kong, Hengde Zhu, Haoqin Sun et al.
MPD-SGR: Robust Spiking Neural Networks with Membrane Potential Distribution-Driven Surrogate Gradient Regularization
Runhao Jiang, Chengzhi Jiang, Rui Yan et al.
DS-ATGO: Dual-Stage Synergistic Learning via Forward Adaptive Threshold and Backward Gradient Optimization for Spiking Neural Networks
Jiaqiang Jiang, Wenfeng Xu, Jing Fan et al.
Surgical AI Copilot: Energy-Based Fourier Gradient Low-Rank Adaptation for Surgical LLM Agent Reasoning and Planning
Jiayuan Huang, Runlong He, Danyal Zaman Khan et al.
Is Symbolic Music a Specific Language? Exploring Inspiration-to-Structure Machine Composition via LLMs
Zhejing Hu, Yan Liu, Zhi Zhang et al.
Reality vs Counterfactual: Multi-World Contrastive Reinforcement Learning for Enhancing MLLM’s Theory of Mind in Egocentric Videos
Guiyang Hou, Yihui Fu, Chen Wu et al.