Jiahai Wang
23 papers · 2020–2026 · 10 conferences · across top CS/AI conferences
Achievements
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π Academic Marathon (5) π Conference Polyglot (10) π§ Keyword Pioneer π Interdisciplinary Bridge π Cross-Pollinator (10)
π
Cross-Pollinator
(10)
π
Renaissance Researcher
(5)
πΊοΈ
Taxonomy Completionist
(43)
π
Grand Slam
π§¬
Topic Evolution
β‘
Prolific Year
(5)
π₯
Unstoppable
(6)
ποΈ
Keyword Collector
(96)
π
Century Club
(22)
π
Trend Setter
Conferences
ACL (5)
NIPS (4)
AAAI (3)
COLING (2)
EMNLP (2)
ICLR (2)
NAACL (2)
ICML (1)
IJCAI (1)
IJCNLP (1)
Top co-authors
Keywords
few-shot learning
(3)
combinatorial optimization
(3)
graph neural network
(3)
transfer learning
(2)
question answering
(2)
fact checking
(2)
neural network
(2)
knowledge distillation
(2)
pre-trained language model
(2)
logical reasoning
(1)
symbolic reasoning
(1)
knowledge extraction
(1)
multi-task learning
(1)
model robustness
(1)
representation learning
(1)
text classification
(1)
natural language processing
(1)
robust optimization
(1)
claim verification
(1)
attention mechanism
(1)
Papers
UCPO: A Universal Constrained Combinatorial Optimization Method via Preference Optimization
AAAI 2026
BOPO: Neural Combinatorial Optimization via Best-anchored and Objective-guided Preference Optimization
ICML 2025
Neural Multi-Objective Combinatorial Optimization via Graph-Image Multimodal Fusion
ICLR 2025
Rethinking Neural Multi-Objective Combinatorial Optimization via Neat Weight Embedding
ICLR 2025
Neural Combinatorial Optimization for Robust Routing Problem with Uncertain Travel Times
NIPS 2024
RMLM: A Flexible Defense Framework for Proactively Mitigating Word-level Adversarial Attacks
ACL 2023
Neural Multi-Objective Combinatorial Optimization with Diversity Enhancement
NIPS 2023
Efficient Meta Neural Heuristic for Multi-Objective Combinatorial Optimization
NIPS 2023
Democratizing Reasoning Ability: Tailored Learning from Large Language Model
EMNLP 2023
Disentangling Reasoning Capabilities from Language Models with Compositional Reasoning Transformers
ACL 2023
Learning Generalizable Models for Vehicle Routing Problems via Knowledge Distillation
NIPS 2022
UECA-Prompt: Universal Prompt for Emotion Cause Analysis
COLING 2022
Reasoning over Hybrid Chain for Table-and-Text Open Domain Question Answering
IJCAI 2022
ProQA: Structural Prompt-based Pre-training for Unified Question Answering
NAACL 2022
Analytical Reasoning of Text
NAACL 2022
UserAdapter: Few-Shot User Learning in Sentiment Analysis
IJCNLP 2021
Neural Relational Inference with Efficient Message Passing Mechanisms
AAAI 2021
UserAdapter: Few-Shot User Learning in Sentiment Analysis
ACL 2021
Reasoning Over Semantic-Level Graph for Fact Checking
ACL 2020
Neural Deepfake Detection with Factual Structure of Text
EMNLP 2020
Multi-choice Relational Reasoning for Machine Reading Comprehension
COLING 2020
LogicalFactChecker: Leveraging Logical Operations for Fact Checking with Graph Module Network
ACL 2020
CatGAN: Category-Aware Generative Adversarial Networks with Hierarchical Evolutionary Learning for Category Text Generation
AAAI 2020