Hang Yu
42 papers · 2018–2026 · 13 conferences · across top CS/AI conferences
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Conferences
AAAI (8)
ACL (7)
EMNLP (6)
ICLR (5)
NIPS (4)
ECCV (3)
CVPR (2)
IJCAI (2)
COLING (1)
ICCV (1)
ICML (1)
JMLR (1)
NAACL (1)
Top co-authors
Keywords
large language model
(7)
contrastive learning
(4)
graph neural network
(4)
representation learning
(4)
language model
(3)
variational inference
(3)
semi-supervised learning
(3)
knowledge graph completion
(2)
few-shot learning
(2)
knowledge base question answering
(2)
multi-task learning
(2)
fraud detection
(2)
zero-shot learning
(2)
consistency regularization
(2)
spiking neural network
(2)
text generation
(2)
information retrieval
(2)
self-supervised learning
(2)
knowledge distillation
(2)
trajectory prediction
(2)
Papers
Generating then Refining for Reliable Knowledge Base Question Answering
ACL 2026
TingIS: Real-time Risk Event Discovery from Noisy Customer Incidents at Enterprise Scale
ACL 2026
DFRec: Dual Fluctuation Modeling of Multi-level Intent Evolution for Next-Item Recommendation
AAAI 2026
Understanding Interaction as You Need: Intention-Driven Pedestrian Behavior Prediction
AAAI 2026
Decoupled Spatiotemporal Forecasting from Extreme Sparse Observations via Quantized Latent Space
AAAI 2026
Discovering Latent Facts from Context to Construct Richer Open Knowledge Graphs
AAAI 2026
LAMDAS: LLM as an Implicit Classifier for Domain-specific Data Selection
AAAI 2026
DexH2R: A Benchmark for Dynamic Dexterous Grasping in Human-to-Robot Handover
ICCV 2025
Rodimus*: Breaking the Accuracy-Efficiency Trade-Off with Efficient Attentions
ICLR 2025
Promoting Knowledge Base Question Answering by Directing LLMs to Generate Task-relevant Logical Forms
AAAI 2025
Pay Attention to the Foreground in Object-Centric Learning
CVPR 2025
Advancing Out-of-Distribution Detection via Local Neuroplasticity
ICLR 2025
Context-aware Graph Neural Network for Graph-based Fraud Detection with Extremely Limited Labels
AAAI 2025
GALLa: Graph Aligned Large Language Models for Improved Source Code Understanding
ACL 2025
E2LLM: Encoder Elongated Large Language Models for Long-Context Understanding and Reasoning
EMNLP 2025
HDiff: Confidence-Guided Denoising Diffusion for Robust Hyper-relational Link Prediction
EMNLP 2025
CLEAR: A Framework Enabling Large Language Models to Discern Confusing Legal Paragraphs
EMNLP 2025
AmortizedPeriod: Attention-based Amortized Inference for Periodicity Identification
ICLR 2024
DeepITE: Designing Variational Graph Autoencoders for Intervention Target Estimation
NIPS 2024
Focus On What Matters: Separated Models For Visual-Based RL Generalization
NIPS 2024
Barely Supervised Learning for Graph-Based Fraud Detection
AAAI 2024
Through the MUD: A Multi-Defendant Charge Prediction Benchmark with Linked Crime Elements
ACL 2024
D2LLM: Decomposed and Distilled Large Language Models for Semantic Search
ACL 2024
Shadow-Enlightened Image Outpainting
CVPR 2024
Approaching Outside: Scaling Unsupervised 3D Object Detection from 2D Scene
ECCV 2024
BaSIC: BayesNet Structure Learning for Computational Scalable Neural Image Compression
ECCV 2024
CoBa: Convergence Balancer for Multitask Finetuning of Large Language Models
EMNLP 2024
Guided Knowledge Generation with Language Models for Commonsense Reasoning
EMNLP 2024
Divide and Conquer: Legal Concept-guided Criminal Court View Generation
EMNLP 2024
Finite-State Autoregressive Entropy Coding for Efficient Learned Lossless Compression
ICLR 2024
DUPLEX: Dual GAT for Complex Embedding of Directed Graphs
ICML 2024
COSIGN: Contextual Facts Guided Generation for Knowledge Graph Completion
NAACL 2024
ZeroAE: Pre-trained Language Model based Autoencoder for Transductive Zero-shot Text Classification
ACL 2023
BasisFormer: Attention-based Time Series Forecasting with Learnable and Interpretable Basis
NIPS 2023
How to Fine-tune the Model: Unified Model Shift and Model Bias Policy Optimization
NIPS 2023
PTCSpell: Pre-trained Corrector Based on Character Shape and Pinyin for Chinese Spelling Correction
ACL 2023
Pyraformer: Low-Complexity Pyramidal Attention for Long-Range Time Series Modeling and Forecasting
ICLR 2022
Rethinking Task Sampling for Few-shot Vision-Language Transfer Learning
COLING 2022
Fast Bayesian Inference of Sparse Networks with Automatic Sparsity Determination
JMLR 2020
Bias-based Universal Adversarial Patch Attack for Automatic Check-out
ECCV 2020
Jointly Learning Network Connections and Link Weights in Spiking Neural Networks
IJCAI 2018
CSNN: An Augmented Spiking based Framework with Perceptron-Inception
IJCAI 2018