Bin Liu
79 papers · 2013–2026 · 15 conferences · across top CS/AI conferences
Achievements
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π§ Keyword Pioneer πΊοΈ Taxonomy Completionist (27) π Renaissance Researcher (6) π Interdisciplinary Bridge π Conference Polyglot (15)
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Academic Marathon
(12)
πΊοΈ
Taxonomy Completionist
(27)
π§
Keyword Pioneer
π€
Dynamic Duo
(25)
π₯
Mega-Team
(20)
π¬
Deep Specialist
(16)
π
Keyword Champion
π₯
Unstoppable
(10)
β‘
Prolific Year
(7)
π
Conference Pioneer
π
Century Club
(75)
ποΈ
Keyword Collector
(68)
π
Trend Setter
Conferences
INTERSPEECH (17)
AAAI (13)
CVPR (10)
IJCAI (7)
ICCV (6)
NIPS (5)
NSDI (5)
ECCV (4)
ACL (3)
ACML (2)
EMNLP (2)
ICML (2)
COLING (1)
JMLR (1)
OSDI (1)
Top co-authors
Keywords
representation learning
(8)
graph neural network
(5)
large language model
(5)
person re-identification
(5)
semantic segmentation
(5)
feature extraction
(4)
few-shot learning
(4)
multimodal learning
(4)
metric learning
(4)
contrastive learning
(3)
speech emotion recognition
(3)
deep clustering
(3)
transfer learning
(3)
image retrieval
(3)
visual understanding
(3)
zero-shot learning
(2)
feature embedding
(2)
active learning
(2)
multi-label classification
(2)
adversarial learning
(2)
Papers
Federated Incomplete Multi-View Clustering with Tensorized Low-Rank Constraint
AAAI 2026
EchoGen: Cycle-Consistent Learning for Unified Layout-Image Generation and Understanding
AAAI 2026
Discriminative Graph Embedding Framework via Label-Free Marginal Fisher Analysis
AAAI 2026
Uni-MMMU: A Massive Multi-discipline Multimodal Unified Benchmark
ACL 2026
Towards Anytime Retrieval: A Benchmark for Anytime Person Re-Identification
IJCAI 2025
UNICL-SAM: Uncertainty-Driven In-Context Segmentation with Part Prototype Discovery
CVPR 2025
AffectGPT: A New Dataset, Model, and Benchmark for Emotion Understanding with Multimodal Large Language Models
ICML 2025
VLASCD: A Visual Language Action Model for Simultaneous Chatting and Decision Making
EMNLP 2025
Rethinking Masked Data Reconstruction Pretraining for Strong 3D Action Representation Learning
AAAI 2025
Training-free Open-Vocabulary Semantic Segmentation via Diverse Prototype Construction and Sub-region Matching
AAAI 2025
Batch Selection for Multi-Label Classification Guided by Uncertainty and Dynamic Label Correlations
AAAI 2025
Listen, Watch, and Learn to Feel: Retrieval-Augmented Emotion Reasoning for Compound Emotion Generation
ACL 2025
Bridging the Sky and Ground: Towards View-Invariant Feature Learning for Aerial-Ground Person Re-Identification
ICCV 2025
ClubHeap: A High-Speed and Scalable Priority Queue for Programmable Packet Scheduling
NSDI 2025
OV-MER: Towards Open-Vocabulary Multimodal Emotion Recognition
ICML 2025
FE-CLIP: Frequency Enhanced CLIP Model for Zero-Shot Anomaly Detection and Segmentation
ICCV 2025
Empower Programmable Pipeline for Advanced Stateful Packet Processing
NSDI 2024
Llama SLayer 8B: Shallow Layers Hold the Key to Knowledge Injection
EMNLP 2024
Collaborative Consortium of Foundation Models for Open-World Few-Shot Learning
AAAI 2024
MotionGPT: Finetuned LLMs Are General-Purpose Motion Generators
AAAI 2024
Unifying Multi-Modal Uncertainty Modeling and Semantic Alignment for Text-to-Image Person Re-identification
AAAI 2024
Enhancing Semi-supervised Domain Adaptation via Effective Target Labeling
AAAI 2024
Towards More Unified In-context Visual Understanding
CVPR 2024
TCI-Former: Thermal Conduction-Inspired Transformer for Infrared Small Target Detection
AAAI 2024
Large Language Model as a Policy Teacher for Training Reinforcement Learning Agents
IJCAI 2024
Predicting Housing Transaction with Common Covariance GNNs
IJCAI 2024
EmotionNAS: Two-stream Neural Architecture Search for Speech Emotion Recognition
INTERSPEECH 2023
Fluid Dynamics-Inspired Network for Infrared Small Target Detection
IJCAI 2023
Interpret ESG Ratingβs Impact on the Industrial Chain Using Graph Neural Networks
IJCAI 2023
ALIM: Adjusting Label Importance Mechanism for Noisy Partial Label Learning
NIPS 2023
A Reduction-based Framework for Sequential Decision Making with Delayed Feedback
NIPS 2023
VRA: Variational Rectified Activation for Out-of-distribution Detection
NIPS 2023
BBDM: Image-to-Image Translation With Brownian Bridge Diffusion Models
CVPR 2023
Counterfactual Intervention Feature Transfer for Visible-Infrared Person Re-identification
ECCV 2022
Enabling In-situ Programmability in Network Data Plane: From Architecture to Language
NSDI 2022
Walle: An End-to-End, General-Purpose, and Large-Scale Production System for Device-Cloud Collaborative Machine Learning
OSDI 2022
Diverse Semantic Image Synthesis via Probability Distribution Modeling
CVPR 2021
TDCA-Net: Time-Domain Channel Attention Network for Depression Detection
INTERSPEECH 2021
Improve Unsupervised Pretraining for Few-Label Transfer
ICCV 2021
ISNet: Integrate Image-Level and Semantic-Level Context for Semantic Segmentation
ICCV 2021
Joint Color-irrelevant Consistency Learning and Identity-aware Modality Adaptation for Visible-infrared Cross Modality Person Re-identification
AAAI 2021
Simultaneous Change Point Inference and Structure Recovery for High Dimensional Gaussian Graphical Models
JMLR 2021
Conversational Emotion Recognition Using Self-Attention Mechanisms and Graph Neural Networks
INTERSPEECH 2020
Parametric Instance Classification for Unsupervised Visual Feature learning
NIPS 2020
DASOT: A Unified Framework Integrating Data Association and Single Object Tracking for Online Multi-Object Tracking
AAAI 2020
Learning distributed sentence vectors with bi-directional 3D convolutions
COLING 2020
Cross-Modality Person Re-Identification With Shared-Specific Feature Transfer
CVPR 2020
Density-Aware Graph for Deep Semi-Supervised Visual Recognition
CVPR 2020
Negative Margin Matters: Understanding Margin in Few-shot Classification
ECCV 2020
GSM: Graph Similarity Model for Multi-Object Tracking
IJCAI 2020
Context-Dependent Domain Adversarial Neural Network for Multimodal Emotion Recognition
INTERSPEECH 2020
Gated Recurrent Fusion of Spatial and Spectral Features for Multi-Channel Speech Separation with Deep Embedding Representations
INTERSPEECH 2020
Learning Utterance-Level Representations with Label Smoothing for Speech Emotion Recognition
INTERSPEECH 2020
Comparison of Glottal Source Parameter Values in Emotional Vowels
INTERSPEECH 2020
Joint Training for Simultaneous Speech Denoising and Dereverberation with Deep Embedding Representations
INTERSPEECH 2020
Hybrid Network Feature Extraction for Depression Assessment from Speech
INTERSPEECH 2020
Unsupervised Representation Learning with Future Observation Prediction for Speech Emotion Recognition
INTERSPEECH 2019
Automatic Depression Level Detection via βp-Norm Pooling
INTERSPEECH 2019
Discriminative Learning for Monaural Speech Separation Using Deep Embedding Features
INTERSPEECH 2019
Semantics Disentangling for Text-To-Image Generation
CVPR 2019
Dynamic Ensemble Modeling Approach to Nonstationary Neural Decoding in Brain-Computer Interfaces
NIPS 2019
Memory-Based Neighbourhood Embedding for Visual Recognition
ICCV 2019
Context and Attribute Grounded Dense Captioning
CVPR 2019
Jointly Adversarial Enhancement Training for Robust End-to-End Speech Recognition
INTERSPEECH 2019
Conversational Emotion Analysis via Attention Mechanisms
INTERSPEECH 2019
Representing Urban Functions through Zone Embedding with Human Mobility Patterns
IJCAI 2018
HashGAN: Deep Learning to Hash With Pair Conditional Wasserstein GAN
CVPR 2018
Zoom-Net: Mining Deep Feature Interactions for Visual Relationship Recognition
ECCV 2018
Deep Noise Tracking Network: A Hybrid Signal Processing/Deep Learning Approach to Speech Enhancement
INTERSPEECH 2018
Cross-Modal Hamming Hashing
ECCV 2018
Making Classifier Chains Resilient to Class Imbalance
ACML 2018
Deep Cauchy Hashing for Hamming Space Retrieval
CVPR 2018
Online Multi-Object Tracking Using CNN-Based Single Object Tracker With Spatial-Temporal Attention Mechanism
ICCV 2017
Investigating Efficient Feature Representation Methods and Training Objective for BLSTM-Based Phone Duration Prediction
INTERSPEECH 2017
Hierarchical Probabilistic Matrix Factorization with Network Topology for Multi-relational Social Network
ACML 2016
A Novel Research to Artificial Bandwidth Extension Based on Deep BLSTM Recurrent Neural Networks and Exemplar-Based Sparse Representation
INTERSPEECH 2016
DECAF: Detecting and Characterizing Ad Fraud in Mobile Apps
NSDI 2014
Cross-lingual Opinion Analysis via Negative Transfer Detection
ACL 2014
Wire Speed Name Lookup: A GPU-based Approach
NSDI 2013