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Hui Jiang

31 papers · 2015–2026 · 11 conferences · across top CS/AI conferences

Achievements

Jump to papers ↓
+10 more ↓ 🌍 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)

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