Yu Zhao
58 papers · 2015–2026 · 15 conferences · across top CS/AI conferences
Achievements
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🏃 Academic Marathon (10) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🌍 Conference Polyglot (15) 🐝 Cross-Pollinator (13)
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The Questioner
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Keyword Collector
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Conferences
EMNLP (14)
ACL (13)
AAAI (9)
COLING (4)
IJCAI (3)
NIPS (3)
CVPR (2)
ICML (2)
NAACL (2)
ICCV (1)
ICLR (1)
IJCNLP (1)
MICCAI (1)
MIDL (1)
SEMEVAL (1)
Top co-authors
Research topics
Keywords
large language model
(10)
neural machine translation
(5)
multimodal learning
(5)
contrastive learning
(4)
question answering
(4)
causal inference
(3)
quality estimation
(3)
machine translation
(3)
variational autoencoder
(3)
schema linking
(3)
multiple instance learning
(3)
graph neural network
(3)
attention mechanism
(3)
text generation
(2)
temporal reasoning
(2)
natural language inference
(2)
representation learning
(2)
data augmentation
(2)
uncertainty quantification
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benchmark evaluation
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Papers
Knowledge Graph Guided Heterogeneity-Informed Diffusion Model for Spatio-Temporal Generation
AAAI 2026
Grow-on-Demand: Sparse and Adaptive Expert Expansion for Continual Instruction Tuning
AAAI 2026
Transferable Graph Condensation from the Causal Perspective
AAAI 2026
Beyond Timestamps: Bridging Forward and Backward Reasoning in Temporal Numerical and Relational Understanding
ACL 2026
TeleAI at SemEval-2025 Task 8: Advancing Table Reasoning Framework with Large Language Models
ACL 2025
LMM4LMM: Benchmarking and Evaluating Large-multimodal Image Generation with LMMs
ICCV 2025
Brain activation mapping based on Regional Synchronization of fMRI signals embedded in Graph Eigenmodes
MICCAI 2025
Structured Packing in LLM Training Improves Long Context Utilization
AAAI 2025
Training-free LLM-generated Text Detection by Mining Token Probability Sequences
ICLR 2025
T2R-BENCH: A Benchmark for Real World Table-to-Report Task
EMNLP 2025
TeleAI at SemEval-2025 Task 8: Advancing Table Reasoning Framework with Large Language Models
SEMEVAL 2025
Steering Knowledge Selection Behaviours in LLMs via SAE-Based Representation Engineering
NAACL 2025
Are We Done with MMLU?
NAACL 2025
Marco-o1 v2: Towards Widening The Distillation Bottleneck for Reasoning Models
ACL 2025
Marco-Bench-MIF: On Multilingual Instruction-Following Capability of Large Language
ACL 2025
UCS-SQL: Uniting Content and Structure for Enhanced Semantic Bridging In Text-to-SQL
ACL 2025
Analysing The Impact of Sequence Composition on Language Model Pre-Training
ACL 2024
DePLM: Denoising Protein Language Models for Property Optimization
NIPS 2024
Synergistic Dual Spatial-aware Generation of Image-to-text and Text-to-image
NIPS 2024
A Label Disambiguation-Based Multimodal Massive Multiple Instance Learning Approach for Immune Repertoire Classification
AAAI 2024
Harnessing Holistic Discourse Features and Triadic Interaction for Sentiment Quadruple Extraction in Dialogues
AAAI 2024
MELOV: Multimodal Entity Linking with Optimized Visual Features in Latent Space
ACL 2024
Dual Prompt Tuning based Contrastive Learning for Hierarchical Text Classification
ACL 2024
Bring Invariant to Variant: A Contrastive Prompt-based Framework for Temporal Knowledge Graph Forecasting
COLING 2024
Look before You Leap: Dual Logical Verification for Knowledge-based Visual Question Generation
COLING 2024
MCIL: Multimodal Counterfactual Instance Learning for Low-resource Entity-based Multimodal Information Extraction
COLING 2024
TimeR4 : Time-aware Retrieval-Augmented Large Language Models for Temporal Knowledge Graph Question Answering
EMNLP 2024
A Simple and Effective L_2 Norm-Based Strategy for KV Cache Compression
EMNLP 2024
Knowledge-aware Reinforced Language Models for Protein Directed Evolution
ICML 2024
StableMask: Refining Causal Masking in Decoder-only Transformer
ICML 2024
From Alignment to Entailment: A Unified Textual Entailment Framework for Entity Alignment
ACL 2023
A Noisy-Label-Learning Formulation for Immune Repertoire Classification and Disease-Associated Immune Receptor Sequence Identification
IJCAI 2023
Easy Guided Decoding in Providing Suggestions for Interactive Machine Translation
ACL 2023
Causal Conditional Hidden Markov Model for Multimodal Traffic Prediction
AAAI 2023
Generating Visual Spatial Description via Holistic 3D Scene Understanding
ACL 2023
WildfireSpreadTS: A dataset of multi-modal time series for wildfire spread prediction
NIPS 2023
Spatio-Temporal Neural Structural Causal Models for Bike Flow Prediction
AAAI 2023
Multi-Scale Subgraph Contrastive Learning
IJCAI 2023
Improving Neural Machine Translation by Multi-Knowledge Integration with Prompting
EMNLP 2023
Incorporating Object-Level Visual Context for Multimodal Fine-Grained Entity Typing
EMNLP 2023
Visual Spatial Description: Controlled Spatial-Oriented Image-to-Text Generation
EMNLP 2022
An Efficient Memory-Augmented Transformer for Knowledge-Intensive NLP Tasks
EMNLP 2022
MoSE: Modality Split and Ensemble for Multimodal Knowledge Graph Completion
EMNLP 2022
TSMind: Alibaba and Soochow University’s Submission to the WMT22 Translation Suggestion Task
EMNLP 2022
Improving Human-Object Interaction Detection via Phrase Learning and Label Composition
AAAI 2022
Overcoming Language Priors in Visual Question Answering via Distinguishing Superficially Similar Instances
COLING 2022
Beyond Glass-Box Features: Uncertainty Quantification Enhanced Quality Estimation for Neural Machine Translation
EMNLP 2021
QEMind: Alibaba’s Submission to the WMT21 Quality Estimation Shared Task
EMNLP 2021
Incorporating Global Information in Local Attention for Knowledge Representation Learning
IJCNLP 2021
Feedback Graph Attention Convolutional Network for MR Images Enhancement by Exploring Self-Similarity Features
MIDL 2021
Incorporating Global Information in Local Attention for Knowledge Representation Learning
ACL 2021
End-to-End Human Object Interaction Detection With HOI Transformer
CVPR 2021
TermMind: Alibaba’s WMT21 Machine Translation Using Terminologies Task Submission
EMNLP 2021
Computer Assisted Translation with Neural Quality Estimation and Automatic Post-Editing
EMNLP 2020
Alibaba’s Submission for the WMT 2020 APE Shared Task: Improving Automatic Post-Editing with Pre-trained Conditional Cross-Lingual BERT
EMNLP 2020
Predicting Lymph Node Metastasis Using Histopathological Images Based on Multiple Instance Learning With Deep Graph Convolution
CVPR 2020
Connecting Embeddings for Knowledge Graph Entity Typing
ACL 2020
Representation Learning for Measuring Entity Relatedness with Rich Information
IJCAI 2015