Bin Liu
85 papers · 2013–2026 · 15 venues · across top CS/AI venues
This profile combines several different researchers. Authors are keyed by name, and this name's papers fall into 19 separate collaboration groups - the largest holds only 38% of them. Pick the group below that matches the researcher you mean. How a shared name is split.
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Which Bin Liu?
9 groups of papers that share co-authors internally but none with each other - each most likely a different researcher. Pick one to see its papers.
with Jianhua Tao, Zheng Lian, Jian Huang
22 papers
· 2016–2025
· Interspeech, ICML, NeurIPS
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AffectGPT: A New Dataset, Model, and Benchmark for Emotion Understanding with Multimodal Large Language Models
ICML 2025
Listen, Watch, and Learn to Feel: Retrieval-Augmented Emotion Reasoning for Compound Emotion Generation
ACL 2025
OV-MER: Towards Open-Vocabulary Multimodal Emotion Recognition
ICML 2025
ALIM: Adjusting Label Importance Mechanism for Noisy Partial Label Learning
NeurIPS 2023
EmotionNAS: Two-stream Neural Architecture Search for Speech Emotion Recognition
Interspeech 2023
VRA: Variational Rectified Activation for Out-of-distribution Detection
NeurIPS 2023
TDCA-Net: Time-Domain Channel Attention Network for Depression Detection
Interspeech 2021
Comparison of Glottal Source Parameter Values in Emotional Vowels
Interspeech 2020
Context-Dependent Domain Adversarial Neural Network for Multimodal Emotion Recognition
Interspeech 2020
Conversational Emotion Recognition Using Self-Attention Mechanisms and Graph Neural Networks
Interspeech 2020
Gated Recurrent Fusion of Spatial and Spectral Features for Multi-Channel Speech Separation with Deep Embedding Representations
Interspeech 2020
Hybrid Network Feature Extraction for Depression Assessment from Speech
Interspeech 2020
Joint Training for Simultaneous Speech Denoising and Dereverberation with Deep Embedding Representations
Interspeech 2020
Learning Utterance-Level Representations with Label Smoothing for Speech Emotion Recognition
Interspeech 2020
Automatic Depression Level Detection via ℓp-Norm Pooling
Interspeech 2019
Conversational Emotion Analysis via Attention Mechanisms
Interspeech 2019
Discriminative Learning for Monaural Speech Separation Using Deep Embedding Features
Interspeech 2019
Jointly Adversarial Enhancement Training for Robust End-to-End Speech Recognition
Interspeech 2019
Unsupervised Representation Learning with Future Observation Prediction for Speech Emotion Recognition
Interspeech 2019
Deep Noise Tracking Network: A Hybrid Signal Processing/Deep Learning Approach to Speech Enhancement
Interspeech 2018
Investigating Efficient Feature Representation Methods and Training Objective for BLSTM-Based Phone Duration Prediction
Interspeech 2017
A Novel Research to Artificial Bandwidth Extension Based on Deep BLSTM Recurrent Neural Networks and Exemplar-Based Sparse Representation
Interspeech 2016
10 papers whose co-authors appear nowhere else under this name
Collaborative Consortium of Foundation Models for Open-World Few-Shot Learning
AAAI 2024
Predicting Housing Transaction with Common Covariance GNNs
IJCAI 2024
A Reduction-based Framework for Sequential Decision Making with Delayed Feedback
NeurIPS 2023
Walle: An End-to-End, General-Purpose, and Large-Scale Production System for Device-Cloud Collaborative Machine Learning
OSDI 2022
Simultaneous Change Point Inference and Structure Recovery for High Dimensional Gaussian Graphical Models
JMLR 2021
Representing Urban Functions through Zone Embedding with Human Mobility Patterns
IJCAI 2018
Hierarchical Probabilistic Matrix Factorization with Network Topology for Multi-relational Social Network
ACML 2016
Cross-lingual Opinion Analysis via Negative Transfer Detection
ACL 2014
DECAF: Detecting and Characterizing Ad Fraud in Mobile Apps
NSDI 2014
Wire Speed Name Lookup: A GPU-based Approach
NSDI 2013