Tue 14:00-16:00Tue 16:30-18:30Wed 09:00-11:00Wed 14:00-16:00Wed 16:30-18:30Thu 09:00-11:00Thu 14:00-16:00Thu 16:30-18:30Fri 09:00-11:00Fri 14:00-16:00
Room 111SS-L1: Anomaly Signal Identification with Foundation Models SS-L3: Signal Processing for Swarm Repeaters in 6G & Beyond SS-L4: Signal Processing for Extremely Large MIMO (XL-MIMO) Systems SS-L6: Quantum Machine Learning Algorithms and Applications on NISQ Devices SS-L7: AI-Enhanced and Optimization-Based Integrated Sensing and Communications SS-L9: Bridging Signal Processing and Machine Learning with Gaussian Processes SS-L10: Question Answering and Reasoning on Audio and Time-Series Data SS-L12: Multimodal Processing for Head-worn Devices SS-L13: Signal Processing for Integrated Sensing, Communication, and Localization with Innovative Antenna Concepts SS-L15: Neural Spatial Audio Processing
Room 112 MLSP-L4: Deep Learning Models for Time Series Forecasting I MLSP-L8: Spatio-Temporal Learning for Time Series Forecasting I MLSP-L11: Representation Learning for Time Series Forecasting MLSP-L15: Foundation and Representation Learning for Time Series MLSP-L18: Adversarial Learning and Robustness in Deep Models I MLSP-L22: Safety and Robustness in Machine Learning MLSP-L25: Trustworthy Learning for Large Language Models MLSP-L29: Adversarial ML – Adversarial ML MLSP-L31: Optimization and Privacy in Federated Learning
Room 113MLSP-L2: Personalized and Secure Federated Learning MLSP-L5: Distributed Federated Learning Systems and Algorithms MLSP-L9: Graph Neural Networks for Representation Learning MLSP-L12: Graph Neural Networks for Structured Signal Processing I MLSP-L16: Deep Representation Learning for Signals and Data MLSP-L19: Multimodal and Contrastive Representation Learning MLSP-L23: Self-Supervised Representation Learning I MLSP-L26: Explainable Machine Learning for Signal Processing III IVMSP-L13: Perception and Quality Models for Images and Video IVMSP-L17: Biomedical and Biological Image Processing
Room 114SLP-L1: Speech LLM: Training & Generation SLP-L3: Speech Enhancement Using Generative Models SLP-L5: Robust Audio Deepfake and Spoofing Detection I SLP-L7: Discourse, Dialogue, and Language Learning SLP-L9: Robust Speech Modeling for ASR SLP-L11: Speech Emotion Recognition and Language Models SLP-L13: Instruction-Guided and Preference-Aligned TTS SLP-L16: Cognitive and Auditory Modeling SLP-L18: ASR Model Adaptation and Customization SLP-L20: Streaming and Efficient TTS Systems
Room 115SLP-L2: Language Generation: Methods and Applications I SLP-L4: Perception and Recognition of Emotions SLP-L6: Speech LLM: Alignment & Decoding SLP-L8: Speech Enhancement Using Subspace Modeling and Learning Criteria SLP-L10: Efficient Learning and Inference for LLMs II SLP-L12: Speaker Verification: Model Compression SLP-L14: Audio Deepfake Detection, Attribution, and Watermarking SLP-L17: Question Answering: Reasoning and Evaluation SLP-L19: LLM Reasoning and Planning I SLP-L21: Multi-Talker & Conversational ASR
Room 116SS-L2: Signal Quality Assessment in the Era of Foundation Models ASPS-L1: Neuromorphic Signal Processing I SS-L5: How do Estimation Performance Bounds Contribute to Emerging Applications? ASPS-L2: Resource-Efficient and Generative AI Systems SS-L8: Promise and Perils of Generative AI for the Evaluation of Speech and Audio ASPS-L3: Applications of Generative AI and Foundation Models II SS-L11: Large-Dimensional Structures and Methods for Signal Processing, Communication, and Machine Learning ASPS-L4: Radar, Sonar and Acoustic Systems SS-L14: AI-Aided Signal Processing for Emerging Wireless Technologies ASPS-L6: Robotics II
Room 117MLSP-L3: Deep Learning Architectures for Large-Scale Models MLSP-L6: Learning and Optimization in Deep Neural Models MLSP-L10: Deep Learning Models for Structured Signal Processing MLSP-L13: Self-Supervised and Efficient Learning in Deep Models MLSP-L17: Deep Learning for Temporal and Biomedical Signal Processing MLSP-L20: Representation Learning and Model Design in Deep Networks MLSP-L24: Multimodal and Diffusion Models for Signal Processing MLSP-L27: Foundation and Generative Models for Multimodal Learning MLSP-L30: Diffusion Models for Audio and Video Generation MLSP-L32: Diffusion and Flow Models for Generative Learning
Room 118+119IVMSP-L1: Image and Video Coding IVMSP-L3: Image and Video Compression IVMSP-L4: Image and Video Watermarking and Security IVMSP-L6: 3D Image and Video Analysis IVMSP-L7: Image and Video Content Analysis IVMSP-L9: Image and Video Storage and Retrieval II IVMSP-L10: Image and Video Synthesis, Rendering and Visualization IV IVMSP-L12: Statistical-model Based Methods for Image and Video IVMSP-L14: Diffusion Based Machine Learning for Image and Video Processing IVMSP-L18: Domain Adaptation Based Machine Learning for Image and Video Processing
Room 120+121IVMSP-L2: Vision-Language Models I MLSP-L7: Deep Learning for Structured and Temporal Signals IVMSP-L5: Hyperspectral Image Processing MLSP-L14: Adversarial Attacks and Robust Learning IVMSP-L8: Color Image and Video Processing MLSP-L21: Learning and Optimization for Structured Data IVMSP-L11: Dynamic Models for Image and Video MLSP-L28: Quantum Machine Learning IVMSP-L15: Multi-modal / Cross-modal Image and Video Processing MLSP-L33: Multimodal Learning and Large Language Models
Room 122+123BISP-L1: Advances in image segmentation BISP-L2: Image Quality & Image Reconstruction BISP-L3: Multimodal Fusion in Radiology BISP-L4: Method for Microscopy and Bioinformatics BISP-L5: Analysis of Time Series Data & Sound BISP-L6: Brain Structure and Function BISP-L7: EEG & ECG BISP-L8: Analysis of Ultrasound and Video BISP-L10: Neurodegeneration BISP-L11: Methods for Image-based Diagnosis
Room 124+125SPTM-L1: Graph Topology Inference and Learning SPTM-L2: Sparse and Low-dimensional Signal Recovery SPTM-L3: Bayesian Signal Processing III SPTM-L4: Sequential and Distributed Detection SPTM-L5: Estimation II SPTM-L6: Sparse Optimization I SPTM-L7: Signal Processing over Graphs BISP-L9: Open Journal of Signal Processing and Miscellaneous ASPS-L5: Applications of Generative AI and Foundation Models IV MMSP-L10: Semantic-Aware Multimodal Fusion and Analysis
Room 127+128AASP-L1: Signal Enhancement, Restoration, and Extraction AASP-L2: Audio and Speech Source Separation AASP-L3: Neural Speech and Audio Coding AASP-L4: Audio and Speech Quality and Intelligibility Measures II AASP-L5: Audio Understanding and Generation AASP-L6: Sound Event Detection and Classification AASP-L7: Acoustics, Spatial Audio, and Active Noise Control V AASP-L8: Music Signal Processing, Production, and Separation AASP-L10: Music Content Analysis AASP-L11: Bioacoustics and Medical Acoustics
Room 129+130SPCOM-L1: Machine Learning-Driven Wireless Systems I CI-L1: Computational Imaging I SPCOM-L2: Machine Learning-Driven Wireless Systems II SAM-L1: Detection and Estimation SPCOM-L3: Advanced Wireless Transmission Design SAM-L2: ISAC-DFRC SPCOM-L4: Sensing and Communication I AASP-L9: Acoustics, Spatial Audio, and Active Noise Control VI IVMSP-L16: Remote sensing image processing and understanding IVMSP-L19: Image and Video Editing
Room 131+132MMSP-L1: Multimodal Emotion Recognition MMSP-L2: Dynamic Scene Reconstruction with Gaussian Splatting MMSP-L3: Multimodal Human Motion and Video Generation MMSP-L4: 3D Multimedia Coding and Quality Assessment MMSP-L5: Cross-Modal Knowledge Distillation and Model Adaptation MMSP-L6: Audio-Visual Source Separation and Localization MMSP-L7: Multimodal Reasoning and Large Model Applications MMSP-L8: High-Fidelity Multimedia Editing with Diffusion Models MMSP-L9: Factuality and Hallucination Mitigation in LMMs SPTM-L8: Statistical and Probabilistic Methods for Radar and Sensor Detection
Room 133+134MLSP-L1: Deep Generative Models for Structured Data I IFS-L1: Privacy, Generative Models, and Adversarial Risks in Multimodal AI IFS-L2: Robust and Secure AI: From LLMs to Microarchitecture IFS-L3: Jailbreaks, Adversarial Transfer, and Privacy in Generative AI Systems IFS-L4: Privacy-Preserving AI Across Audio, Vision, and Networked Systems SLP-L15: Language Generation: Reasoning and Inference IFS-L5: From Deepfake Detection to Template Inversion: Modern Media Forensics SPED-L1: Signal Processing Education SLP-L22: Knowledge Graphs and Knowledge-Augmented Reasoning for LLMs
Poster Area 1SPTM-P1: Bayesian Signal Processing I SPTM-P4: Bayesian Signal Processing II SPTM-P7: Matrix and tensor factorization and completion SPTM-P9: Transforms SPTM-P11: Graph Signal Processing: Methods I SPTM-P13: Tensor and Matrix Methods SPTM-P15: Advanced Radar and Statistical Signal Detection SPTM-P16: Sparse Optimization II SPTM-P18: Time-frequency and Multiresolution Analysis SPTM-P19: Distributed Optimization II
Poster Area 2SPTM-P2: Distributed Optimization I SPTM-P5: Estimation I SPTM-P8: Subspace and Manifold Learning, Estimation SPTM-P10: Graph Signal Processing: Methods and Applications SPTM-P12: Filtering and Tracking SPTM-P14: Sampling SS-P1: Multimodal Ambient Scene Perception, Understanding and Modeling SPTM-P17: Advanced Statistical Detection and Inference SPTM-P20: Machine Learning and Sensor-Driven Signal Analysis
Poster Area 3SPCOM-P1: Journal Presentations MLSP-P8: Deep Learning Model for Signal Processing II MLSP-P16: Optimization and Training of Deep Neural Networks MLSP-P25: Deep Neural Networks for Complex Data Modeling MLSP-P34: Deep Learning Models for Signal Understanding MLSP-P43: Learning Representations with Deep Neural Networks MLSP-P52: Advanced Architectures in Deep Learning MLSP-P61: Deep Learning for Structured Signal Processing I MLSP-P70: Deep Learning for Structured Signal Processing II MLSP-P78: Deep Learning Model for Signal Processing I
Poster Area 4MLSP-P1: Learning and Adaptation in Deep Neural Networks MLSP-P9: Deep Learning Model for Signal Processing III MLSP-P17: Deep Learning for Time Series Analysis I MLSP-P26: Representation Learning for Multimodal Signals MLSP-P35: Domain Adaptation and Continual Learning MLSP-P44: Deep Unfolding and Model-Based Neural Networks MLSP-P53: Training and Optimization Methods for Deep Neural Networks MLSP-P62: Deep Learning Models for Time Series Forecasting II MLSP-P71: Federated Learning Systems and Algorithms I MLSP-P79: Learning and Reasoning for Multimodal Applications
Poster Area 5MLSP-P2: Evaluation and Adaptation of Foundation Models MLSP-P10: Robustness and Security in Large Language Models I MLSP-P18: Deep Generative Models for Structured Data II MLSP-P27: Learning on Graphs and Structured Data MLSP-P36: Spatio-Temporal Learning for Time Series Forecasting II MLSP-P45: Representation Learning for Structured Signals MLSP-P54: Efficient Training and Adaptation of Large Language Models I MLSP-P63: Machine Learning for Scientific and Sensing Applications MLSP-P72: Federated Learning Systems and Algorithms II MLSP-P80: Statistical Learning and Inference Methods
Poster Area 6MLSP-P3: Adaptation and Trustworthy Machine Learning MLSP-P11: Reinforcement Learning for Signal Processing and Control I MLSP-P19: Deep Generative Models for Signal Processing MLSP-P28: Robustness and Security in Large Language Models II MLSP-P37: Advanced Learning Models for Signal Processing MLSP-P46: Supervised and Semi-Supervised Learning Methods II MLSP-P55: Deep Learning for Time Series Analysis III MLSP-P64: Efficient Training and Adaptation of Large Language Models II MLSP-P73: Machine Learning Applications in Signal Processing III MLSP-P81: Graph Neural Networks for Structured Signal Processing III
Poster Area 7MLSP-P4: Federated and Distributed Machine Learning Systems I MLSP-P12: Statistical Machine Learning Methods I MLSP-P20: Emerging Topics in Machine Learning for Signal Processing I MLSP-P29: Robust and Trustworthy Machine Learning II MLSP-P38: Reinforcement Learning for Signal Processing and Control II MLSP-P47: Generative Models for Multimodal Signal Processing II MLSP-P56: Advanced Neural Architectures for Signal and Vision Processing MLSP-P65: Explainable Machine Learning for Signal Processing IV MLSP-P74: Contrastive and Self-Supervised Representation Learning II MLSP-P82: Adversarial Learning and Robustness in Deep Models III
Poster Area 8MLSP-P5: Supervised and Semi-Supervised Learning Methods I MLSP-P13: Unsupervised and Self-Supervised Learning Methods I MLSP-P21: Training and Distillation Methods in Deep Learning MLSP-P30: Deep Learning for Time Series Analysis II MLSP-P39: Federated and Distributed Machine Learning Systems III MLSP-P48: Graph Neural Networks for Structured Signal Processing II MLSP-P57: Machine Learning Applications in Signal Processing II MLSP-P66: Self-Supervised Representation Learning II MLSP-P75: Emerging Topics in Machine Learning for Signal Processing II MLSP-P83: Statistical Machine Learning Methods III
Poster Area 9MLSP-P6: Reinforcement Learning Algorithms and Applications I MLSP-P14: Generative Models for Multimodal Signal Processing I MLSP-P22: Robust and Trustworthy Machine Learning I MLSP-P31: Explainable Machine Learning for Signal Processing I MLSP-P40: Contrastive and Self-Supervised Representation Learning I MLSP-P49: Deep Learning for Visual and Multimodal Understanding MLSP-P58: Unsupervised and Self-Supervised Learning Methods II MLSP-P67: Adversarial Learning and Robustness in Deep Models II MLSP-P76: Supervised and Semi-Supervised Learning Methods III MLSP-P84: Causal Learning and Inference Methods
Poster Area 10MLSP-P7: Federated and Distributed Machine Learning Systems II MLSP-P15: Advanced Machine Learning Algorithms for Signal Processing MLSP-P23: Statistical Machine Learning Methods II MLSP-P32: Graph Learning for Time Series and Structured Signals MLSP-P41: Machine Learning Applications in Signal Processing I MLSP-P50: Reinforcement Learning Algorithms and Applications II MLSP-P59: Explainable Machine Learning for Signal Processing II MLSP-P68: Unsupervised Learning Methods for Signal Processing MLSP-P77: Statistical Learning and Reinforcement Learning Methods
Poster Area 11SPCOM-P2: Non-Terrestrial Sensing and Communication SPCOM-P3: Advances in Resource Allocation and Security BISP-P8: Medical Image Formation, Reconstruction, and Restoration I BISP-P12: Medical Image Formation, Reconstruction, and Restoration II BISP-P16: Medical Image Reconstruction and Brain Computer Interfaces BISP-P20: Medical Image Analysis VI BISP-P23: Medical Image Analysis VII BISP-P26: Medical Image Analysis VIII BISP-P29: Medical Image Analysis X BISP-P33: Medical Image Analysis XII
Poster Area 12BISP-P1: Medical Image Analysis I BISP-P5: Medical Image Analysis III BISP-P9: Medical Image Analysis IV BISP-P13: Medical Image Analysis V BISP-P17: Multimodal Medical Image Fusion and Analysis I BISP-P21: Multimodal Medical Image Fusion and Analysis II BISP-P24: Biological Image Reconstruction, and Restoration and Analysis BISP-P27: Physiological and Wearable Signal Processing II BISP-P30: Physiological and Wearable Signal Processing III BISP-P34: Physiological and Wearable Signal Processing IV
Poster Area 13BISP-P2: Physiological and Wearable Signal Processing I BISP-P6: Neural Signals I BISP-P10: Neural Signals II BISP-P14: Brain/Human Computer Interfaces III BISP-P18: Brain/Human Computer Interfaces IV BISP-P22: Bioinformatics BISP-P25: Applications and Emerging Methods in Biomedical Signal and Image Processing III BISP-P28: Medical Image Analysis IX BISP-P31: Medical Image Analysis XI BISP-P35: Medical Image Analysis XIII
Poster Area 14BISP-P3: Brain/Human Computer Interfaces I BISP-P7: Brain/Human Computer Interfaces II BISP-P11: Applications and Emerging Methods in Biomedical Signal and Image Processing I BISP-P15: Applications and Emerging Methods in Biomedical Signal and Image Processing II BISP-P19: Machine Learning Applications: Biomedical Signal and Image Processing, Bioinformatics IVMSP-P27: Transformer Based Methods in Image and Video Processing IVMSP-P32: Vision-Language Models II IVMSP-P37: Knowledge Distillation for Image and Video Processing IVMSP-P42: Physics Aware Models for Image and Video Processing IVMSP-P47: Anomaly Detection in Image and Videos
Poster Area 15IVMSP-P1: Image Generation IVMSP-P6: Video Generation IVMSP-P12: Watermarking, Steganography, Data-hiding IVMSP-P18: Image and Video Storage and Retrieval I IVMSP-P23: Image and Video Synthesis, Rendering and Visualization II IVMSP-P28: Image and Video Synthesis, Rendering and Visualization III IVMSP-P33: Image and Video Quality Assessment IVMSP-P38: Object Detection II IVMSP-P43: Face/facial Expression Recognition IVMSP-P48: Remote Sensing Image Processing and Understanding
Poster Area 16IVMSP-P2: Underwater Image Processing IVMSP-P7: Image and Video Communications IVMSP-P13: Cross-modal and Cross Domain Image Fusion IVMSP-P19: Image and Video Synthesis, Rendering and Visualization I IVMSP-P24: Objection Detection IVMSP-P29: Object Tracking IVMSP-P34: Image and Video Super-resolution IVMSP-P39: Geometric Structure Based Methods for Image and Video IVMSP-P44: Image Enhancement IVMSP-P49: Diffusion models for Image Processing
Poster Area 17IVMSP-P3: Image Restoration I IVMSP-P8: Frequency Domain Machine Learning Approaches for Image and Video Processing IVMSP-P14: Semantic Segmentation IVMSP-P20: Graph Based Methods for Image and Video Understanding IVMSP-P25: Attention Based Machine Learning for Image and Video IVMSP-P30: Information Fusion for Image and Video Understanding IVMSP-P35: LLMs for Image Generation and Processing IVMSP-P40: Image Restoration II IVMSP-P45: Applications of Image and Viedo Processing IVMSP-P50: Remote Sensing and Geo-imaging
Poster Area 18IVMSP-P4: New Machine Learning Approaches IVMSP-P9: Image Processing Applications IVMSP-P15: Rendering: 3D Gaussian Splatting IVMSP-P21: Object Detection I IVMSP-P26: Trajectory Modelling IVMSP-P31: Action and Pose Recognition IVMSP-P36: Video Content Analysis IVMSP-P41: Image and Video Representation IVMSP-P46: Probabilistic Model and Entropy Based Approaches IVMSP-P51: Image Reconstruction and Matching
Poster Area 19IVMSP-P5: Applications in Image and Video Processing II IVMSP-P10: Applications in Image and Video Processing I IVMSP-P16: Image Segmentation CI-P1: Computational Imaging II CI-P2: Computational Imaging III CI-P3: Computational Imaging IV CI-P4: Computational Imaging V MMSP-P20: Efficient Multimodal Large Language Models and Evaluation MMSP-P23: Audio-Visual Video Parsing and Scene Understanding MMSP-P26: Multimodal Sarcasm Detection and Sentiment Analysis
Poster Area 20MMSP-P1: Text-Driven 3D Generation and Scene Reconstruction MMSP-P4: Multimodal Learning with Missing and Noisy Modalities MMSP-P7: Mamba and Neural Architectures for Multimedia MMSP-P10: Quality of Experience and Subjective Quality Assessment MMSP-P12: Multimedia Encoding, Compression, and Feature Representation MMSP-P15: Remote Sensing Image Understanding and Analysis MMSP-P18: Multimodal Hashing and Retrieval MMSP-P21: Multimodal Perception for Autonomous Systems and Robotics MMSP-P24: Graph-Based Multimodal Learning and Interaction MMSP-P27: Multimodal Restoration, Reconstruction, and Generation
Poster Area 21MMSP-P2: Temporal Modeling and Video Synthesis MMSP-P5: Retrieval-Augmented Generation and Video-Audio Retrieval MMSP-P8: Visual Question Answering and Multimodal Reasoning MMSP-P11: Multimodal Recommendation and Social Media Analysis MMSP-P13: 3D Reconstruction and Pose Estimation MMSP-P16: Visual Grounding and Open-Vocabulary Segmentation MMSP-P19: Advanced 3D Gaussian Splatting and Geometry-Aware Modeling MMSP-P22: Cross-Modal Retrieval and Visual Search MMSP-P25: Talking Head Generation and Facial Animation MMSP-P28: Parameter-Efficient Fine-Tuning and Prompt-Based Learning
Poster Area 22MMSP-P3: Multimodal Activity Recognition and Sign Language Analysis MMSP-P6: Multimodal Misinformation and Social Media Analysis MMSP-P9: Multimedia Content Forensics and Security IFS-P6: AI Security & Forensics IFS-P8: Intelligent Network and System Security IFS-P10: Model Ownership, Provenance, and Stealthy Attacks IFS-P12: Watermarking, Steganography, and Fingerprinting Across Modalities IFS-P14: Robust, Generalizable, and Multimodal Deepfake Detection IFS-P16: Generalizable, Explainable, and Traceable Deepfake Detection with Emerging Attack Surfaces IFS-P18: Trustworthy Model Behavior and Manipulation Localization
Poster Area 23IFS-P1: Watermarking and Steganography IFS-P3: Speaker Anonymization, Synthetic Speech Detection, and Audio Threats IFS-P5: Privacy, Homomorphic Computation, and Encrypted Network Intelligence IFS-P7: Multimodal Adversarial Attacks and Robustness IFS-P9: Backdoor, Poisoning, and Model Manipulation IFS-P11: Watermarking, Fingerprinting, and Model Attribution IFS-P13: LLM Security, Jailbreaks & Prompt Injection IFS-P15: Defense Automation, Threat Intelligence, and Attack Detection IFS-P17: Network Encrypted Traffic, Generation, and Threat Detection IFS-P19: Software/Code Security, Fuzzing, and Network Analysis
Poster Area 24IFS-P2: Biometrics, Deepfakes, and Presentation Attack Detection IFS-P4: Representation Learning and Structural Methods AASP-P6: Acoustics, Spatial Audio, and Active Noise Control I AASP-P9: Acoustics, Spatial Audio, and Active Noise Control II AASP-P12: Acoustics, Spatial Audio, and Active Noise Control III AASP-P15: Acoustics, Spatial Audio, and Active Noise Control IV AASP-P18: Audio and Speech Source Separation and Signal Enhancement I AASP-P22: Audio and Speech Source Separation and Signal Enhancement II AASP-P26: Audio and Speech Source Separation and Signal Enhancement III AASP-P29: System Identification and Dereverberation & Fundamental Theory and Algorithms for Audio and Acoustic Signal Processing
Poster Area 25AASP-P1: Acoustic Sensor Array Processing I AASP-P4: Acoustic Sensor Array Processing II and Sound Event Localization AASP-P7: Medical Acoustics AASP-P10: Music Generation II AASP-P13: Bioacoustics AASP-P16: Audio and Speech Quality and Intelligibility Measures III AASP-P19: Sound Generation and Synthesis AASP-P23: Music Analysis II AASP-P27: Anomalous Sound Detection and Machine Sound Analysis AASP-P30: Audio for Video and Multimedia
Poster Area 26AASP-P2: Audio Representation Learning AASP-P3: Music Generation I AASP-P8: Audio and Speech Quality and Intelligibility Measures I AASP-P11: Audio Captioning, Retrieval, and Understanding AASP-P14: Music Analysis I AASP-P17: Audio and Speech Coding, Transmission, and Representations AASP-P20: Data and Benchmark for Audio and Speech AASP-P24: Generative Models and Language Models for Music and Audio AASP-P28: Acoustics, Spatial Audio, and Active Noise Control VII AASP-P31: Music Analysis III
Poster Area 27AASP-P5: Music Separation and Transcription SLP-P7: Multilingual ASR/ST Robustness & Evaluation SLP-P13: Voice Conversion and Controllable Speech Generation SLP-P19: LLMs for Contextual Biasing and Error Correction in ASR SLP-P25: Audio-Visual Speech Recognition SLP-P31: Self-supervised and Unsupervised Domain Adaptation for ASR SLP-P37: Robust ASR Modeling and Analytical Approaches SLP-P42: Multimodal Understanding & Generation SLP-P47: Multimodal and Multichannel Approaches to Speech Enhancement SLP-P53: Speech, Emotion & Dialogue
Poster Area 28SLP-P1: Summarization, Language Generation, and Reasoning SLP-P8: Question Answering: Reasoning and Agents SLP-P14: Generative and Representation-Based Models to Speech Enhancement SLP-P20: Retrieval, IE & Knowledge Graphs II SLP-P26: Multimodal Emotion Recognition and Healthcare Applications SLP-P32: Retrieval-Augmented Generation SLP-P38: Question Answering: Benchmarking and Reliability SLP-P43: Speaker Traits, Attributes, and Speech Dynamics SLP-P48: Social, Cognitive, and Miscellaneous Applications SLP-P54: Relation Extraction, Event Modeling, and Entity/Opinion Mining
Poster Area 29SLP-P2: Lightweight and Efficient Speech Enhancement SLP-P9: Speech Emotion Recognition SLP-P15: Advances in Neural Speaker Diarization SLP-P21: Singing Voice, Music, and Multimodal Audio Generation SLP-P27: LLM Prompting, Data Curation, and Tuning SLP-P33: Streaming and Low-Resource ASR, and Data Approaches SLP-P39: Efficient Learning and Inference for LLMs III SLP-P44: Multilingual ASR Architectures & Scaling SLP-P49: Speaker Verification: Modeling SLP-P55: Language Generation: Inference, Compression and Optimization
Poster Area 30SLP-P3: Language Generation: Methods and Applications II SLP-P10: Efficient Learning and Inference for LLMs I SLP-P16: Document Classification, Retrieval, and Keyphrase Extraction SLP-P22: Speech LLM: Robustness & Adaptation SLP-P28: Modeling & Architectures for Audio Deepfake and Spoofing Detection SLP-P34: Diffusion and Flow-Based Speech Synthesis Models SLP-P40: Alignment and Linguistic Modeling in TTS SLP-P45: Robust Speaker Verification SLP-P50: Robust Audio Deepfake and Spoofing Detection II SLP-P56: LLM Reasoning and Planning II
Poster Area 31SLP-P4: Retrieval, IE & Knowledge Graphs I SLP-P11: Prosody and Expressive Speech Generation SLP-P17: Affective Dialogue and Language Learning SLP-P23: Discrete Representations for ASR, Tokenization, and Segmentation SLP-P29: Dialogue Systems and Social Intelligence SLP-P35: Speech/Text Translation & Speech LLMs SLP-P41: Language Generation: Safety, Robustness, and Security SLP-P46: Speech Enhancement for Real-World Applications SLP-P51: Speech Representations & Enhancement SLP-P57: Language Model Methods
Poster Area 32SLP-P5: Multi-Turn Dialogue Systems SLP-P12: Multimodal Modeling SLP-P18: Speaker Modeling, Multilinguality, and Speech Resources in TTS SLP-P24: Retrieval, Segmentation, and Tagging SLP-P30: Language Generation: Knowledge, Inference and Evaluation SLP-P36: Personalized Speech Recognition ASPS-P11: Edge and Energy-Aware Signal Processing ASPS-P13: Neuromorphic Signal Processing II ASPS-P15: Quantum, Accelerators, Processing-in-Memory Signal Processing ASPS-P17: Resource-Efficient Machine Learning II
Poster Area 33ASPS-P1: Resource-Efficient Machine Learning I ASPS-P3: Autonomous Systems ASPS-P6: Internet of Things ASPS-P8: Robotics I ASPS-P9: Autonomy, IoT, and Robotics ASPS-P10: Radar, Sonar, Acoustic Systems I ASPS-P12: Radar, Sonar, Acoustics II ASPS-P14: Applications of Generative AI and Foundation Models III ASPS-P16: Applications of Generative AI and Foundation Models V ASPS-P18: Applications of Generative AI and Foundation Models VI
Poster Area 34ASPS-P2: Signal Processing and Generative AI Systems ASPS-P4: Safe and Trustworthy Systems SPCOM-P4: Emerging Themes in Wireless and Communication Systems SAM-P3: DOA Estimation and Localization I SAM-P4: DOA Estimation and Localization II SAM-P5: Machine Learning for Signal Processing SAM-P6: DOA Estimation and Localization III SAM-P7: Integrated Sensing and Communications SAM-P8: Speech, Audio and Acoustic Signal Processing SAM-P9: Applications of Sensor Array and Multichannel Processing
Poster Area 35SAM-P1: Radar and MIMO Array Processing SAM-P2: Beamforming and Array Processing SPCOM-P5: (De)Modulation and (De)Coding SPCOM-P6: Machine Learning for Communication and Networking I SPCOM-P7: Advances in Spectrum and Energy Efficient Communications SPCOM-P8: Advances in Estimation and Decoding for Communications SPCOM-P9: Advances in Channel Estimation SPCOM-P10: Sensing and Communication II SPCOM-P11: Machine Learning for Communication and Networking II SPCOM-P12: Distributed and Federated Learning
Poster Area 41SPTM-P3: Sparse and Low-dimensional Signal Recovery, Matrices, and Tensors SPTM-P6: Graph Signal Processing: Methods II MLSP-P24: Advanced Deep Neural Network Architectures and Learning MLSP-P33: Machine Learning for Time Series Modeling and Forecasting MLSP-P42: Applied Machine Learning for Signal Processing MLSP-P51: Advanced Machine Learning Methods for Signal Processing MLSP-P60: Training and Optimization Strategies for Machine Learning Models MLSP-P69: Conventional Machine Learning Methods and Applications BISP-P32: Machine Learning for Human Brain Understanding BISP-P36: Learning based processing of ECG, EEG and EMG signals
Poster Area 42BISP-P4: Medical Image Analysis II IVMSP-P11: Machine Learning for Image and Video Processing I IVMSP-P17: Machine Learning for Image and Video Processing II IVMSP-P22: Machine Learning for Image and Video Processing III MMSP-P14: Multimodal Fusion for Sentiment and Emotion Recognition MMSP-P17: Vision-Language Models: Reasoning, Benchmarks, and Adaptation AASP-P21: Audio Classification & Auditory Modeling & Medical Acoustics AASP-P25: Audio Security & Audio and Speech Coding, Transmission, and Representations SLP-P52: Question Answering: Graph-RAG and Retrieval SLP-P58: Paralinguistic Datasets, Benchmarks & Resources
Poster Area 43SLP-P6: Neural Vocoders and Codecs ASPS-P5: Emerging Topics in Applied Signal Processing Systems ASPS-P7: Applications of Generative AI and Foundation Models I GC-P1: EEG Auditory Attention Decoding (EEG-AAD)
GC-P2: Automatic Song Aesthetics Evaluation		 GC-P3: Predicting Lyric Intelligibility (CADENZA)
GC-P4: Speech Analysis for Neurodegenerative Diseases (SAND)		 GC-P5: Environmental Sound Deepfake Detection (ESDD)
GC-P6: Face-Voice Association in Multilingual Environments (FAME)		 GC-P7: Reconstructing Hyperspectral Cubes of Everyday Objects from Low-Cost Inputs (Hyper-Object)
GC-P8: Multimodal Learning for 6G Wireless Communications (CONVERGE)		 GC-P9: Towards Human-like Spoken Dialogue Systems (HumDial)
GC-P10: Inaugural Music Source Restoration (MSR)		 GC-P11: Radar Acoustic Speech Enhancement (RASE)
GC-P12: X-to-Audio Alignment (XACLE)		 GC-P13: Universality, Robustness, and Generalizability for EnhancemeNT (URGENT)
GC-P14: In-the-wild Generation and Detection of Spoofed Speech (WildSpoof)