Hongwei Wang
45 papers · 2019–2026 · 12 conferences · across top CS/AI conferences
Achievements
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🌍 Conference Polyglot (12) 🏃 Academic Marathon (6) 🧭 Keyword Pioneer 🌉 Interdisciplinary Bridge 🐝 Cross-Pollinator (12)
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Academic Marathon
(6)
🧭
Keyword Pioneer
🤝
Dynamic Duo
(10)
🏆
Grand Slam
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Mega-Team
(34)
🧬
Topic Evolution
❓
The Questioner
(2)
🚀
Conference Pioneer
⚡
Prolific Year
(15)
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Keyword Collector
(166)
💎
Century Club
(39)
🔥
Unstoppable
(7)
Conferences
EMNLP (9)
CVPR (7)
AAAI (6)
ACL (6)
NAACL (5)
ICLR (4)
ICML (2)
IJCAI (2)
AACL (1)
COLING (1)
IJCNLP (1)
NIPS (1)
Top co-authors
Research topics
Keywords
large language model
(8)
attention mechanism
(5)
named entity recognition
(4)
sentence embedding
(4)
zero-shot learning
(4)
in-context learning
(3)
spiking neural network
(3)
multimodal large language model
(2)
language model
(2)
retrieval-augmented generation
(2)
domain adaptation
(2)
semantic segmentation
(2)
feature extraction
(2)
representation learning
(2)
conformal prediction
(2)
energy efficiency
(2)
semantic similarity
(2)
knowledge distillation
(2)
uncertainty quantification
(2)
contrastive learning
(2)
Papers
GAM: Hierarchical Graph-based Agentic Memory for LLM Agents
ACL 2026
MAU-GPT: Enhancing Multi-type Industrial Anomaly Understanding via Anomaly-aware and Generalist Experts Adaptation
AAAI 2026
Beyond Single-Speed Reasoning: Coordinating Fast and Slow Dynamics for Efficient World Modeling
AAAI 2026
Understanding Dynamic Scenes in Ego Centric 4D Point Clouds
AAAI 2026
IPS: In-Prompt Process Supervision for Short Video Content Moderation
ACL 2026
CP-Router: An Uncertainty-Aware Router Between LLM and LRM
AAAI 2026
ImputeINR: Time Series Imputation via Implicit Neural Representations for Disease Diagnosis with Missing Data
IJCAI 2025
M-MAD: Multidimensional Multi-Agent Debate for Advanced Machine Translation Evaluation
ACL 2025
Retrieval Augmented Instruction Tuning for Open NER with Large Language Models
COLING 2025
TS-SNN: Temporal Shift Module for Spiking Neural Networks
ICML 2025
FSTA-SNN:Frequency-Based Spatial-Temporal Attention Module for Spiking Neural Networks
AAAI 2025
Invisible Backdoor Attack against Self-supervised Learning
CVPR 2025
MICAS: Multi-grained In-Context Adaptive Sampling for 3D Point Cloud Processing
CVPR 2025
SCSA: A Plug-and-Play Semantic Continuous-Sparse Attention for Arbitrary Semantic Style Transfer
CVPR 2025
Temporal Separation with Entropy Regularization for Knowledge Distillation in Spiking Neural Networks
CVPR 2025
STAA-SNN: Spatial-Temporal Attention Aggregator for Spiking Neural Networks
CVPR 2025
Agent Security Bench (ASB): Formalizing and Benchmarking Attacks and Defenses in LLM-based Agents
ICLR 2025
Reasoning-Enhanced Domain-Adaptive Pretraining of Multimodal Large Language Models for Short Video Content Governance
EMNLP 2025
MT-RewardTree: A Comprehensive Framework for Advancing LLM-Based Machine Translation via Reward Modeling
EMNLP 2025
LongMemEval: Benchmarking Chat Assistants on Long-Term Interactive Memory
ICLR 2025
Cognitive Kernel: An Open-source Agent System towards Generalist Autopilots
NAACL 2025
API Is Enough: Conformal Prediction for Large Language Models Without Logit-Access
EMNLP 2024
MedM2G: Unifying Medical Multi-Modal Generation via Cross-Guided Diffusion with Visual Invariant
CVPR 2024
Chain-of-Note: Enhancing Robustness in Retrieval-Augmented Language Models
EMNLP 2024
DynaThink: Fast or Slow? A Dynamic Decision-Making Framework for Large Language Models
EMNLP 2024
Dense X Retrieval: What Retrieval Granularity Should We Use?
EMNLP 2024
SemanticMask: A Contrastive View Design for Anomaly Detection in Tabular Data
IJCAI 2024
Sub-Sentence Encoder: Contrastive Learning of Propositional Semantic Representations
NAACL 2024
SemStamp: A Semantic Watermark with Paraphrastic Robustness for Text Generation
NAACL 2024
Self-Improving for Zero-Shot Named Entity Recognition with Large Language Models
NAACL 2024
Empirical Study of Zero-Shot NER with ChatGPT
EMNLP 2023
Unsupervised Multi-document Summarization with Holistic Inference
AACL 2023
Going Beyond Sentence Embeddings: A Token-Level Matching Algorithm for Calculating Semantic Textual Similarity
ACL 2023
Focus on Details: Online Multi-Object Tracking With Diverse Fine-Grained Representation
CVPR 2023
A Class-Rebalancing Self-Training Framework for Distantly-Supervised Named Entity Recognition
ACL 2023
On the Dimensionality of Sentence Embeddings
EMNLP 2023
Unsupervised Multi-document Summarization with Holistic Inference
IJCNLP 2023
Generating User-Engaging News Headlines
ACL 2023
Chemical-Reaction-Aware Molecule Representation Learning
ICLR 2022
RESIN-11: Schema-guided Event Prediction for 11 Newsworthy Scenarios
NAACL 2022
EventKE: Event-Enhanced Knowledge Graph Embedding
EMNLP 2021
Distance Encoding: Design Provably More Powerful Neural Networks for Graph Representation Learning
NIPS 2020
Lipschitz Generative Adversarial Nets
ICML 2019
Modeling Local Dependence in Natural Language with Multi-Channel Recurrent Neural Networks
AAAI 2019
AdaShift: Decorrelation and Convergence of Adaptive Learning Rate Methods
ICLR 2019