Yang Yang
243 papers · 2013–2026 · 22 conferences · across top CS/AI conferences
Achievements
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π§ Keyword Pioneer π Conference Polyglot (22) πΊοΈ Taxonomy Completionist (24) π Interdisciplinary Bridge π Academic Marathon (13)
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Interdisciplinary Bridge
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Century Club
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Keyword Collector
(77)
Conferences
AAAI (58)
IJCAI (25)
CVPR (23)
NIPS (20)
ACL (17)
ICCV (17)
EMNLP (15)
ICLR (14)
ICML (11)
NAACL (9)
ECCV (6)
COLING (6)
AISTATS (4)
WACV (4)
MICCAI (3)
SEMEVAL (3)
INTERSPEECH (2)
ACML (2)
EACL (1)
CORL (1)
IJCNLP (1)
UAI (1)
Top co-authors
Research topics
Keywords
graph neural network
(21)
representation learning
(19)
transfer learning
(15)
multimodal learning
(13)
multi-modal learning
(12)
knowledge distillation
(11)
contrastive learning
(11)
attention mechanism
(10)
neural network
(8)
text classification
(8)
person re-identification
(8)
domain adaptation
(7)
semantic segmentation
(7)
large language model
(7)
feature learning
(6)
model compression
(6)
zero-shot learning
(6)
unsupervised learning
(6)
knowledge graph
(5)
language model
(5)
Papers
QuantumQA: Enhancing Scientific Reasoning via Physics-Consistent Dataset and Verification-Aware Reinforcement Learning
ACL 2026
Red Teaming Large Reasoning Models
ACL 2026
Model-Based Imaginative Planning for Embodied Agents
ACL 2026
Lightweight LLM Agent Memory with Small Language Models
ACL 2026
G-Cap: A Game Character Caption Generator
ACL 2026
On the Feasibility of Using MultiModal LLMs to Execute AR Social Engineering Attacks
AAAI 2026
LC3: Long Cross-Language Code Clone Detection Enhanced by Opcode Sequences and Affinity Aggregation
AAAI 2026
Shaping Parameter Contribution Patterns for Out-of-Distribution Detection
AAAI 2026
FedShard: Federated Unlearning with Efficiency Fairness and Performance Fairness
AAAI 2026
DWTSG: Parameter-Efficient Fine-Tuning of Large Pre-trained Models via Discrete Wavelet Transform and Subband Guidance
AAAI 2026
Zero-shot Hierarchical Plant Segmentation via Foundation Segmentation Models and Text-to-image Attention
WACV 2026
Interaction-via-Actions: Cattle Interaction Detection with Joint Learning of Action-Interaction Latent Space
WACV 2026
RTMol: Rethinking Molecule-text Alignment in a Round-trip View
AAAI 2026
NOTAM-Evolve: A Knowledge-Guided Self-Evolving Optimization Framework with LLMs for NOTAM Interpretation
AAAI 2026
Generating-Filtering-Ranking: A Three-Stage MultiModal Data Augmentation Framework Under Partial Modality Missing
AAAI 2026
Fine-Grained Representation for Lane Topology Reasoning
AAAI 2026
Seeing Beyond Illusion: Generalized and Efficient Mirror Detection
AAAI 2026
Distilling Future Temporal Knowledge with Masked Feature Reconstruction for 3D Object Detection
AAAI 2026
From Dialogue to Destination: Geography-Aware Large Language Models with Multimodal Fusion for Conversational Recommendation
AAAI 2026
Trimming the Fat: Redundancy-Aware Acceleration Framework for DGNNs
AAAI 2026
Views Attention Fusion of Granular-ball Fuzzy Representations Split for Improved Multi-view Clustering
AAAI 2026
MirrorCAPTCHA: Wild CAPTCHA, Wild Distribution, Wild Web-based Platform Meet Multimodal LLM Agents
ACL 2026
MedSegFactory: Text-Guided Generation of Medical Image-Mask Pairs
ICCV 2025
An Effective and Secure Federated Multi-View Clustering Method with Information-Theoretic Perspective
ICML 2025
Multi-Label Test-Time Adaptation with Bound Entropy Minimization
ICLR 2025
LASeR: Towards Diversified and Generalizable Robot Design with Large Language Models
ICLR 2025
Spiking Vision Transformer with Saccadic Attention
ICLR 2025
QP-SNN: Quantized and Pruned Spiking Neural Networks
ICLR 2025
Multi-Label Node Classification with Label Influence Propagation
ICLR 2025
KAA: Kolmogorov-Arnold Attention for Enhancing Attentive Graph Neural Networks
ICLR 2025
Chain-of-Focus Prompting: Leveraging Sequential Visual Cues to Prompt Large Autoregressive Vision Models
ICLR 2025
Quantized Spike-driven Transformer
ICLR 2025
Towards Accurate Binary Spiking Neural Networks: Learning with Adaptive Gradient Modulation Mechanism
AAAI 2025
Leveraging Asynchronous Spiking Neural Networks for Ultra Efficient Event-Based Visual Processing
AAAI 2025
RCTrans: Radar-Camera Transformer via Radar Densifier and Sequential Decoder for 3D Object Detection
AAAI 2025
CDTR: Semantic Alignment for Video Moment Retrieval Using Concept Decomposition Transformer
AAAI 2025
RealisHuman: A Two-Stage Approach for Refining Malformed Human Parts in Generated Images
AAAI 2025
Local Conditional Controlling for Text-to-Image Diffusion Models
AAAI 2025
Online Fraud Detection via Test-Time Retrieval-Based Representation Enrichment
AAAI 2025
ITP: Instance-Aware Test Pruning for Out-of-Distribution Detection
AAAI 2025
MSE-Adapter: A Lightweight Plugin Endowing LLMs with the Capability to Perform Multimodal Sentiment Analysis and Emotion Recognition
AAAI 2025
Agri-CM3: A Chinese Massive Multi-modal, Multi-level Benchmark for Agricultural Understanding and Reasoning
ACL 2025
RLKGF: Reinforcement Learning from Knowledge Graph Feedback Without Human Annotations
ACL 2025
Financial Language Model Evaluation (FLaME)
ACL 2025
Finance Language Model Evaluation (FLaME)
ACL 2025
Testing Conditional Independence with Deep Neural Network Based Binary Expansion Testing (DeepBET)
AISTATS 2025
Learning Segmentation from Radiology Reports
MICCAI 2025
Brain activation mapping based on Regional Synchronization of fMRI signals embedded in Graph Eigenmodes
MICCAI 2025
MTGIB-UNet: A Multi-Task Graph Information Bottleneck and Uncertainty Weighted Network for ADMET Prediction
IJCAI 2025
APIMig: A Project-Level Cross-Multi-Version API Migration Framework Based on Evolution Knowledge Graph
IJCAI 2025
Interactive Multimodal Learning via Flat Gradient Modification
IJCAI 2025
Binary Event-Driven Spiking Transformer
IJCAI 2025
Mono3DVLT: Monocular-Video-Based 3D Visual Language Tracking
CVPR 2025
Unleashing the Potential of Consistency Learning for Detecting and Grounding Multi-Modal Media Manipulation
CVPR 2025
Towards Equilibrium: An Instantaneous Probe-and-Rebalance Multimodal Learning Approach
IJCAI 2025
Balance-Aware Sequence Sampling Makes Multi-Modal Learning Better
IJCAI 2025
BRIGHT-VO: Brightness-Guided Hybrid Transformer for Visual Odometry with Multi-modality Refinement Module
IJCAI 2025
SyncGaussian: Stable 3D Gaussian-Based Talking Head Generation with Enhanced Lip Sync via Discriminative Speech Features
IJCAI 2025
UnCo: Uncertainty-Driven Collaborative Framework of Large and Small Models for Grounded Multimodal NER
EMNLP 2025
KGE Calibrator: An Efficient Probability Calibration Method of Knowledge Graph Embedding Models for Trustworthy Link Prediction
EMNLP 2025
SCoder: Progressive Self-Distillation for Bootstrapping Small-Scale Data Synthesizers to Empower Code LLMs
EMNLP 2025
Strengthen Out-of-Distribution Detection Capability with Progressive Self-Knowledge Distillation
ICML 2025
Evolving Minds: Logic-Informed Inference from Temporal Action Patterns
ICML 2025
Probabilistic Group Mask Guided Discrete Optimization for Incremental Learning
ICML 2025
Multi-View Graph Clustering via Node-Guided Contrastive Encoding
ICML 2025
Efficient Adaptation of Pre-trained Vision Transformer underpinned by Approximately Orthogonal Fine-Tuning Strategy
ICCV 2025
Implicit Counterfactual Learning for Audio-Visual Segmentation
ICCV 2025
KDA: Knowledge Diffusion Alignment with Enhanced Context for Video Temporal Grounding
ICCV 2025
RadGPT: Constructing 3D Image-Text Tumor Datasets
ICCV 2025
NeuraLeaf: Neural Parametric Leaf Models with Shape and Deformation Disentanglement
ICCV 2025
BSO: Binary Spiking Online Optimization Algorithm
ICML 2025
Fast Updating Truncated SVD for Representation Learning with Sparse Matrices
ICLR 2024
Extracting Training Data from Molecular Pre-trained Models
NIPS 2024
Efficient Adaptation of Pre-trained Vision Transformer via Householder Transformation
NIPS 2024
Con4m: Context-aware Consistency Learning Framework for Segmented Time Series Classification
NIPS 2024
Low-Rank Rescaled Vision Transformer Fine-Tuning: A Residual Design Approach
CVPR 2024
Ensemble Diversity Facilitates Adversarial Transferability
CVPR 2024
Goal-Reaching Policy Learning from Non-Expert Observations via Effective Subgoal Guidance
CORL 2024
PowerPM: Foundation Model for Power Systems
NIPS 2024
HyperLogic: Enhancing Diversity and Accuracy in Rule Learning with HyperNets
NIPS 2024
CDPNet: Cross-Modal Dual Phases Network for Point Cloud Completion
AAAI 2024
Adaptive Uncertainty-Based Learning for Text-Based Person Retrieval
AAAI 2024
Independency Adversarial Learning for Cross-Modal Sound Separation
AAAI 2024
Unsupervised Domain Adaptative Temporal Sentence Localization with Mutual Information Maximization
AAAI 2024
ScanERU: Interactive 3D Visual Grounding Based on Embodied Reference Understanding
AAAI 2024
Weakly-Supervised Mirror Detection via Scribble Annotations
AAAI 2024
Fine-Tuning Graph Neural Networks by Preserving Graph Generative Patterns
AAAI 2024
MorphVAE: Advancing Morphological Design of Voxel-Based Soft Robots with Variational Autoencoders
AAAI 2024
Noise-Aware Image Captioning with Progressively Exploring Mismatched Words
AAAI 2024
Measuring Task Similarity and Its Implication in Fine-Tuning Graph Neural Networks
AAAI 2024
Towards Fair Graph Federated Learning via Incentive Mechanisms
AAAI 2024
Dialogues Are Not Just Text: Modeling Cognition for Dialogue Coherence Evaluation
AAAI 2024
Minimal Distillation Schedule for Extreme Language Model Compression
EACL 2024
DWLR: Domain Adaptation under Label Shift for Wearable Sensor
IJCAI 2024
An Efficient Prototype-Based Clustering Approach for Edge Pruning in Graph Neural Networks to Battle Over-Smoothing
IJCAI 2024
Disentangling Domain and General Representations for Time Series Classification
IJCAI 2024
Can Graph Neural Networks Expose Training Data Properties? An Efficient Risk Assessment Approach
NIPS 2024
Diffusion Models as Optimizers for Efficient Planning in Offline RL
ECCV 2024
Region-aware Distribution Contrast: A Novel Approach to Multi-Task Partially Supervised Learning
ECCV 2024
TAI++: Text as Image for Multi-Label Image Classification by Co-Learning Transferable Prompt
IJCAI 2024
Neuro-Symbolic Temporal Point Processes
ICML 2024
DMNet: Self-comparison Driven Model for Subject-independent Seizure Detection
NIPS 2024
An Expert is Worth One Token: Synergizing Multiple Expert LLMs as Generalist via Expert Token Routing
ACL 2024
Generative Enzyme Design Guided by Functionally Important Sites and Small-Molecule Substrates
ICML 2024
Refining Visual Perception for Decoration Display: A Self-Enhanced Deep Captioning Model
ACML 2024
Bridging Gaps: Federated Multi-View Clustering in Heterogeneous Hybrid Views
NIPS 2024
Unveiling Latent Causal Rules: A Temporal Point Process Approach for Abnormal Event Explanation
AISTATS 2024
Tabular Insights, Visual Impacts: Transferring Expertise from Tables to Images
ICML 2024
InfiAgent-DABench: Evaluating Agents on Data Analysis Tasks
ICML 2024
Exploring Correlations of Self-Supervised Tasks for Graphs
ICML 2024
Facilitating Multimodal Classification via Dynamically Learning Modality Gap
NIPS 2024
Task-agnostic Distillation of Encoder-Decoder Language Models
COLING 2024
NJUST-KMG at TRAC-2024 Tasks 1 and 2: Offline Harm Potential Identification
COLING 2024
CIFAR-10-Warehouse: Broad and More Realistic Testbeds in Model Generalization Analysis
ICLR 2024
Measuring Bargaining Abilities of LLMs: A Benchmark and A Buyer-Enhancement Method
ACL 2024
Bounding Box Stability against Feature Dropout Reflects Detector Generalization across Environments
ICLR 2024
Spike-based Neuromorphic Model for Sound Source Localization
NIPS 2024
CLGSI: A Multimodal Sentiment Analysis Framework based on Contrastive Learning Guided by Sentiment Intensity
NAACL 2024
MAdapter: A Better Interaction between Image and Language for Medical Image Segmentation
MICCAI 2024
Math-LLaVA: Bootstrapping Mathematical Reasoning for Multimodal Large Language Models
EMNLP 2024
Enhancing Learning-Based Binary Code Similarity Detection Model through Adversarial Training with Multiple Function Variants
EMNLP 2024
United We Stand, Divided We Fall: Fingerprinting Deep Neural Networks via Adversarial Trajectories
NIPS 2024
Non-Autoregressive Math Word Problem Solver with Unified Tree Structure
EMNLP 2023
Multilateral Semantic Relations Modeling for Image Text Retrieval
CVPR 2023
DC2: Dual-Camera Defocus Control by Learning To Refocus
CVPR 2023
Learning Semantic-Aware Knowledge Guidance for Low-Light Image Enhancement
CVPR 2023
Bayesian Structure Scores for Probabilistic Circuits
AISTATS 2023
Learning a Deep Color Difference Metric for Photographic Images
CVPR 2023
MediaHG: Rethinking Eye-catchy Features in Social Media Headline Generation
EMNLP 2023
Towards Learning to Discover Money Laundering Sub-network in Massive Transaction Network
AAAI 2023
Peer-Label Assisted Hierarchical Text Classification
ACL 2023
Variational Degeneration to Structural Refinement: A Unified Framework for Superimposed Image Decomposition
ICCV 2023
Visible-Infrared Person Re-Identification via Semantic Alignment and Affinity Inference
ICCV 2023
Lifting the Curse of Capacity Gap in Distilling Language Models
ACL 2023
PreQuant: A Task-agnostic Quantization Approach for Pre-trained Language Models
ACL 2023
Not All Out-of-Distribution Data Are Harmful to Open-Set Active Learning
NIPS 2023
Brant: Foundation Model for Intracranial Neural Signal
NIPS 2023
Universal Prompt Tuning for Graph Neural Networks
NIPS 2023
Better with Less: A Data-Active Perspective on Pre-Training Graph Neural Networks
NIPS 2023
Probabilistic Multi-Dimensional Classification
UAI 2023
PPi: Pretraining Brain Signal Model for Patient-independent Seizure Detection
NIPS 2023
Unsupervised Sounding Pixel Learning
EMNLP 2023
Non-Autoregressive Sentence Ordering
EMNLP 2023
C2ST: Cross-Modal Contextualized Sequence Transduction for Continuous Sign Language Recognition
ICCV 2023
KBioXLM: A Knowledge-anchored Biomedical Multilingual Pretrained Language Model
EMNLP 2023
Edge Structure Learning via Low Rank Residuals for Robust Image Classification
AAAI 2023
Towards Global Video Scene Segmentation with Context-Aware Transformer
AAAI 2023
Self-similarity Driven Scale-invariant Learning for Weakly Supervised Person Search
ICCV 2023
DropMessage: Unifying Random Dropping for Graph Neural Networks
AAAI 2023
Decompose More and Aggregate Better: Two Closer Looks at Frequency Representation Learning for Human Motion Prediction
CVPR 2023
Unsupervised Point Cloud Completion and Segmentation by Generative Adversarial Autoencoding Network
NIPS 2022
Neural Topological Ordering for Computation Graphs
NIPS 2022
Retrieve, Reason, and Refine: Generating Accurate and Faithful Patient Instructions
NIPS 2022
DGraph: A Large-Scale Financial Dataset for Graph Anomaly Detection
NIPS 2022
TVT: Three-Way Vision Transformer through Multi-Modal Hypersphere Learning for Zero-Shot Sketch-Based Image Retrieval
AAAI 2022
Polygon-to-Polygon Distance Loss for Rotated Object Detection
AAAI 2022
Unsupervised Adversarially Robust Representation Learning on Graphs
AAAI 2022
Blindfolded Attackers Still Threatening: Strict Black-Box Adversarial Attacks on Graphs
AAAI 2022
Not All Parameters Should Be Treated Equally: Deep Safe Semi-supervised Learning under Class Distribution Mismatch
AAAI 2022
FORCE: A Framework of Rule-Based Conversational Recommender System
AAAI 2022
Cross-Utterance Conditioned VAE for Non-Autoregressive Text-to-Speech
ACL 2022
Firebolt: Weak Supervision Under Weaker Assumptions
AISTATS 2022
A Progressive Framework for Role-Aware Rumor Resolution
COLING 2022
Self-Augmented Unpaired Image Dehazing via Density and Depth Decomposition
CVPR 2022
CAViT: Contextual Alignment Vision Transformer for Video Object Re-identification
ECCV 2022
VIRT: Improving Representation-based Text Matching via Virtual Interaction
EMNLP 2022
GNN-encoder: Learning a Dual-encoder Architecture via Graph Neural Networks for Dense Passage Retrieval
EMNLP 2022
AVA-TMP: A Human-in-the-Loop Multi-layer Dynamic Topic Modeling Pipeline
EMNLP 2022
Transformer-based Transform Coding
ICLR 2022
Can Abnormality be Detected by Graph Neural Networks?
IJCAI 2022
Beyond Homophily: Structure-aware Path Aggregation Graph Neural Network
IJCAI 2022
SPDB Innovation Lab at SemEval-2022 Task 3: Recognize Appropriate Taxonomic Relations Between Two Nominal Arguments with ERNIE-M Model
NAACL 2022
X-PuDu at SemEval-2022 Task 6: Multilingual Learning for English and Arabic Sarcasm Detection
NAACL 2022
SPDB Innovation Lab at SemEval-2022 Task 10: A Novel End-to-End Structured Sentiment Analysis Model based on the ERNIE-M
NAACL 2022
SPDB Innovation Lab at SemEval-2022 Task 3: Recognize Appropriate Taxonomic Relations Between Two Nominal Arguments with ERNIE-M Model
SEMEVAL 2022
X-PuDu at SemEval-2022 Task 6: Multilingual Learning for English and Arabic Sarcasm Detection
SEMEVAL 2022
SPDB Innovation Lab at SemEval-2022 Task 10: A Novel End-to-End Structured Sentiment Analysis Model based on the ERNIE-M
SEMEVAL 2022
Integrating Pre-trained Model into Rule-based Dialogue Management
AAAI 2021
Learning to Check Contract Inconsistencies
AAAI 2021
Rethinking Label-Wise Cross-Modal Retrieval from A Semantic Sharing Perspective
IJCAI 2021
ASAP: A Chinese Review Dataset Towards Aspect Category Sentiment Analysis and Rating Prediction
NAACL 2021
Language Scaling for Universal Suggested Replies Model
NAACL 2021
BRECQ: Pushing the Limit of Post-Training Quantization by Block Reconstruction
ICLR 2021
Balanced Open Set Domain Adaptation via Centroid Alignment
AAAI 2021
Adaptive Knowledge Driven Regularization for Deep Neural Networks
AAAI 2021
PSD: Principled Synthetic-to-Real Dehazing Guided by Physical Priors
CVPR 2021
Multi-Stage Aggregated Transformer Network for Temporal Language Localization in Videos
CVPR 2021
Learning from the Past: Continual Meta-Learning with Bayesian Graph Neural Networks
AAAI 2020
ProxSGD: Training Structured Neural Networks under Regularization and Constraints
ICLR 2020
BERT-INT:A BERT-based Interaction Model For Knowledge Graph Alignment
IJCAI 2020
Universal Weighting Metric Learning for Cross-Modal Matching
CVPR 2020
High-Order Information Matters: Learning Relation and Topology for Occluded Person Re-Identification
CVPR 2020
Calibrated Domain-Invariant Learning for Highly Generalizable Large Scale Re-Identification
WACV 2020
Probability Weighted Compact Feature for Domain Adaptive Retrieval
CVPR 2020
Guided Variational Autoencoder for Disentanglement Learning
CVPR 2020
Boundary Content Graph Neural Network for Temporal Action Proposal Generation
ECCV 2020
Towards Fast, Accurate and Stable 3D Dense Face Alignment
ECCV 2020
Cross-Modality Paired-Images Generation for RGB-Infrared Person Re-Identification
AAAI 2020
Relation-Aware Pedestrian Attribute Recognition with Graph Convolutional Networks
AAAI 2020
CANZSL: Cycle-Consistent Adversarial Networks for Zero-Shot Learning from Natural Language
WACV 2020
Improving Knowledge Tracing via Pre-training Question Embeddings
IJCAI 2020
Time2Graph: Revisiting Time Series Modeling with Dynamic Shapelets
AAAI 2020
Robust Variational Bayesian Point Set Registration
ICCV 2019
Color-Sensitive Person Re-Identification
IJCAI 2019
RGB-Infrared Cross-Modality Person Re-Identification via Joint Pixel and Feature Alignment
ICCV 2019
Interpretable Relevant Emotion Ranking with Event-Driven Attention
EMNLP 2019
Interpretable Relevant Emotion Ranking with Event-Driven Attention
IJCNLP 2019
Unsupervised Graph Association for Person Re-Identification
ICCV 2019
Deeply-learned Hybrid Representations for Facial Age Estimation
IJCAI 2019
Fast Single Image Reflection Suppression via Convex Optimization
CVPR 2019
ABD-Net: Attentive but Diverse Person Re-Identification
ICCV 2019
Adversarial Category Alignment Network for Cross-domain Sentiment Classification
NAACL 2019
Look across Elapse: Disentangled Representation Learning and Photorealistic Cross-Age Face Synthesis for Age-Invariant Face Recognition
AAAI 2019
Learning to Localize Objects with Noisy Labeled Instances
AAAI 2019
MR-NET: Exploiting Mutual Relation for Visual Relationship Detection
AAAI 2019
Deep Robust Unsupervised Multi-Modal Network
AAAI 2019
From Zero-Shot Learning to Cold-Start Recommendation
AAAI 2019
Comprehensive Semi-Supervised Multi-Modal Learning
IJCAI 2019
Relevant Emotion Ranking from Text Constrained with Emotion Relationships
NAACL 2018
ML-LocNet: Improving Object Localization with Multi-view Learning Network
ECCV 2018
Automatic 3D Indoor Scene Modeling From Single Panorama
CVPR 2018
An Interpretable Neural Network with Topical Information for Relevant Emotion Ranking
EMNLP 2018
Does Higher Order LSTM Have Better Accuracy for Segmenting and Labeling Sequence Data?
COLING 2018
Semi-Supervised Multi-Modal Learning with Incomplete Modalities
IJCAI 2018
Learning Category-Specific 3D Shape Models From Weakly Labeled 2D Images
CVPR 2017
Modal Consistency based Pre-Trained Multi-Model Reuse
IJCAI 2017
Jointly Attentive Spatial-Temporal Pooling Networks for Video-Based Person Re-Identification
ICCV 2017
Point Set Registration With Global-Local Correspondence and Transformation Estimation
ICCV 2017
Nora the Empathetic Psychologist
INTERSPEECH 2017
Matrix Tri-Factorization With Manifold Regularizations for Zero-Shot Learning
CVPR 2017
Instance Specific Discriminative Modal Pursuit: A Serialized Approach
ACML 2017
Zara Returns: Improved Personality Induction and Adaptation by an Empathetic Virtual Agent
ACL 2017
A Unified Framework for Discrete Spectral Clustering
IJCAI 2016
Zara: A Virtual Interactive Dialogue System Incorporating Emotion, Sentiment and Personality Recognition
COLING 2016
Learning by Actively Querying Strong Modal Features
IJCAI 2016
Zara The Supergirl: An Empathetic Personality Recognition System
NAACL 2016
Zara: An Empathetic Interactive Virtual Agent
INTERSPEECH 2016
GAKE: Graph Aware Knowledge Embedding
COLING 2016
Learning Binary Codes for Maximum Inner Product Search
ICCV 2015
Ambient Occlusion via Compressive Visibility Estimation
CVPR 2015
Auxiliary Information Regularized Machine for Multiple Modality Feature Learning
IJCAI 2015
In Search of Inliers: 3D Correspondence by Local and Global Voting
CVPR 2014
Semi-supervised Learning of Feature Hierarchies for Object Detection in a Video
CVPR 2013