Hui Jiang
31 papers · 2015–2026 · 11 conferences · across top CS/AI conferences
Achievements
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🌍 Conference Polyglot (10) 🏃 Academic Marathon (10) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🐝 Cross-Pollinator (14)
🧭
Keyword Pioneer
🌍
Conference Polyglot
(10)
🏃
Academic Marathon
(10)
🧬
Topic Evolution
🗃️
Keyword Collector
(96)
🚀
Conference Pioneer
📈
Trend Setter
💎
Century Club
(28)
🔥
Unstoppable
(5)
⚡
Prolific Year
(6)
Conferences
ACL (9)
IJCNLP (5)
NAACL (4)
EMNLP (3)
IJCAI (3)
AAAI (2)
ACML (1)
ICCV (1)
INTERSPEECH (1)
JMLR (1)
MICCAI (1)
Top co-authors
Keywords
neural network
(4)
fixed-size encoding
(3)
reinforcement learning
(3)
code generation
(2)
feature extraction
(2)
semi-supervised learning
(2)
orthogonal projection
(2)
seq2tree model
(2)
abstract syntax tree
(2)
representation learning
(2)
natural language inference
(1)
attention mechanism
(1)
self-supervised learning
(1)
question answering
(1)
image classification
(1)
generative modeling
(1)
sequence labeling
(1)
multimodal learning
(1)
syntactic parsing
(1)
policy optimization
(1)
Papers
HSCodeComp: A Realistic and Expert-level Agent Benchmark for Hierarchical Rule Application
ACL 2026
TOP-RL: Task-Optimized Progressive Token Pruning with Reinforcement Learning for Vision Language Models
AAAI 2026
MUSE: Multi-Scale Dense Self-Distillation for Nucleus Detection and Classification
AAAI 2026
Bridging Local Inductive Bias and Long-Range Dependencies with Pixel-Mamba for End-to-end Whole Slide Image Analysis
ICCV 2025
IHCSurv: Effective Immunohistochemistry Priors for Cancer Survival Analysis in Gigapixel Multi-stain Whole Slide Images
MICCAI 2024
Towards Robust k-Nearest-Neighbor Machine Translation
EMNLP 2022
A Structure Self-Aware Model for Discourse Parsing on Multi-Party Dialogues
IJCAI 2021
Exploring Dynamic Selection of Branch Expansion Orders for Code Generation
ACL 2021
Exploring Cross-Lingual Transfer Learning with Unsupervised Machine Translation
ACL 2021
Exploring Dynamic Selection of Branch Expansion Orders for Code Generation
IJCNLP 2021
Exploring Cross-Lingual Transfer Learning with Unsupervised Machine Translation
IJCNLP 2021
The Lower The Simpler: Simplifying Hierarchical Recurrent Models
NAACL 2019
FreebaseQA: A New Factoid QA Data Set Matching Trivia-Style Question-Answer Pairs with Freebase
NAACL 2019
Explicit Utilization of General Knowledge in Machine Reading Comprehension
ACL 2019
Dual Fixed-Size Ordinally Forgetting Encoding (FOFE) for Competitive Neural Language Models
EMNLP 2018
Learning Convolutional Neural Networks using Hybrid Orthogonal Projection and Estimation
ACML 2017
Cause-Effect Knowledge Acquisition and Neural Association Model for Solving A Set of Winograd Schema Problems
IJCAI 2017
Enhanced LSTM for Natural Language Inference
ACL 2017
A Local Detection Approach for Named Entity Recognition and Mention Detection
ACL 2017
Word Embeddings based on Fixed-Size Ordinally Forgetting Encoding
EMNLP 2017
Compact Feedforward Sequential Memory Networks for Large Vocabulary Continuous Speech Recognition
INTERSPEECH 2016
Hybrid Orthogonal Projection and Estimation (HOPE): A New Framework to Learn Neural Networks
JMLR 2016
Distraction-Based Neural Networks for Modeling Document
IJCAI 2016
Leverage Financial News to Predict Stock Price Movements Using Word Embeddings and Deep Neural Networks
NAACL 2016
Intra-Topic Variability Normalization based on Linear Projection for Topic Classification
NAACL 2016
Learning Semantic Word Embeddings based on Ordinal Knowledge Constraints
ACL 2015
The Fixed-Size Ordinally-Forgetting Encoding Method for Neural Network Language Models
ACL 2015
Revisiting Word Embedding for Contrasting Meaning
IJCNLP 2015
Revisiting Word Embedding for Contrasting Meaning
ACL 2015
Learning Semantic Word Embeddings based on Ordinal Knowledge Constraints
IJCNLP 2015
The Fixed-Size Ordinally-Forgetting Encoding Method for Neural Network Language Models
IJCNLP 2015