Hai Wang
21 papers · 2015–2026 · 13 conferences · across top CS/AI conferences
Achievements
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π Cross-Pollinator (6) π§ Keyword Pioneer π Academic Marathon (10) π Conference Polyglot (13) π Renaissance Researcher (7)
π
Interdisciplinary Bridge
πΊοΈ
Taxonomy Completionist
(36)
π§
Keyword Pioneer
π§¬
Topic Evolution
π
Trend Setter
π
Century Club
(20)
π
Conference Pioneer
ποΈ
Keyword Collector
(62)
π₯
Unstoppable
(6)
Conferences
ACL (3)
EMNLP (3)
NAACL (3)
CONLL (2)
WACV (2)
AAAI (1)
AISTATS (1)
EACL (1)
ECCV (1)
ICLR (1)
ICML (1)
IJCNLP (1)
JMLR (1)
Top co-authors
Keywords
language model
(3)
historical text
(2)
large language model
(2)
pre-trained language model
(2)
image generation
(2)
diffusion model
(2)
zero-shot learning
(2)
text dating
(2)
360-degree panorama
(2)
text classification
(1)
semantic parsing
(1)
text generation
(1)
information retrieval
(1)
language modeling
(1)
hierarchical modeling
(1)
named entity recognition
(1)
context understanding
(1)
text-to-image synthesis
(1)
variational inference
(1)
reading comprehension
(1)
Papers
MTSQL-R1: Towards Long-Horizon Multi-Turn Text-to-SQL via Agentic Training
ACL 2026
360PanT: Training-Free Text-Driven 360-Degree Panorama-to-Panorama Translation
WACV 2025
Chaos Meets Attention: Transformers for Large-Scale Dynamical Prediction
ICML 2025
Temporal-Aware Soft Prompt Tuning for Automatic Text Dating
NAACL 2025
AlpaGasus: Training a Better Alpaca with Fewer Data
ICLR 2024
Instruction-following Evaluation through Verbalizer Manipulation
NAACL 2024
Backdooring Instruction-Tuned Large Language Models with Virtual Prompt Injection
NAACL 2024
Customizing 360-Degree Panoramas Through Text-to-Image Diffusion Models
WACV 2024
Time-Aware Language Modeling for Historical Text Dating
EMNLP 2023
Contextual Heterogeneous Graph Network for Human-Object Interaction Detection
ECCV 2020
On-The-Fly Information Retrieval Augmentation for Language Models
ACL 2020
Evidence Sentence Extraction for Machine Reading Comprehension
CONLL 2019
Improving Pre-Trained Multilingual Model with Vocabulary Expansion
CONLL 2019
Towards Automated Semi-Supervised Learning
AAAI 2019
Deep Probabilistic Logic: A Unifying Framework for Indirect Supervision
EMNLP 2018
Numerical Analysis near Singularities in RBF Networks
JMLR 2018
Broad Context Language Modeling as Reading Comprehension
EACL 2017
Who did What: A Large-Scale Person-Centered Cloze Dataset
EMNLP 2016
Machine Comprehension with Syntax, Frames, and Semantics
IJCNLP 2015
Inferring Block Structure of Graphical Models in Exponential Families
AISTATS 2015
Machine Comprehension with Syntax, Frames, and Semantics
ACL 2015