Xiaohua Wang
26 papers · 2020–2026 · 8 conferences · across top CS/AI conferences
Achievements
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🧭 Keyword Pioneer 🗺️ Taxonomy Completionist (10) 🌈 Renaissance Researcher (5) 🌉 Interdisciplinary Bridge 🌍 Conference Polyglot (7)
🗺️
Taxonomy Completionist
(10)
🧭
Keyword Pioneer
🏃
Academic Marathon
(5)
🤝
Dynamic Duo
(13)
🧬
Topic Evolution
🔥
Unstoppable
(6)
🚀
Conference Pioneer
⚡
Prolific Year
(6)
🗃️
Keyword Collector
(123)
💎
Century Club
(23)
Conferences
ACL (10)
EMNLP (7)
CVPR (3)
COLING (2)
AAAI (1)
AACL (1)
ICML (1)
NIPS (1)
Top co-authors
Keywords
large language model
(6)
representation learning
(3)
multimodal learning
(3)
generalist model
(2)
multimodal sentiment analysis
(2)
model privacy
(2)
hallucination detection
(2)
foundation model
(2)
representation engineering
(2)
transfer learning
(2)
multi-task learning
(2)
multilingual language model
(2)
knowledge distillation
(2)
zero-shot learning
(2)
cross-lingual transfer
(2)
language model
(2)
federated learning
(2)
latent space
(2)
representation editing
(2)
data augmentation
(1)
Papers
Explainable Synthetic Image Detection Through Diffusion Timestep Ensembling
AAAI 2026
VIB-Probe: Detecting and Mitigating Hallucinations in Vision-Language Models via Variational Information Bottleneck
ACL 2026
Controllable Memory Usage: Balancing Anchoring and Innovation in Long-Term Human–Agent Interaction
ACL 2026
Tell Me What You Don’t Know: Enhancing Refusal Capabilities of Role-Playing Agents via Representation Space Analysis and Editing
ACL 2025
DaNet: Dual-Aware Enhanced Alignment Network for Multimodal Aspect-Based Sentiment Analysis
ACL 2025
Multimodal Invariant Sentiment Representation Learning
ACL 2025
Improving Continual Pre-training Through Seamless Data Packing
ACL 2025
Enhancing Model Privacy in Federated Learning with Random Masking and Quantization
EMNLP 2025
Beyond Single Labels: Improving Conversational Recommendation through LLM-Powered Data Augmentation
ACL 2025
Proxy-Driven Robust Multimodal Sentiment Analysis with Incomplete Data
ACL 2025
Revisiting Jailbreaking for Large Language Models: A Representation Engineering Perspective
COLING 2025
UPLex: Fine-Grained Personality Control in Large Language Models via Unsupervised Lexical Modulation
EMNLP 2025
Dendritic Localized Learning: Toward Biologically Plausible Algorithm
ICML 2025
Advancing Parameter Efficiency in Fine-tuning via Representation Editing
ACL 2024
MEVTR: A Multilingual Model Enhanced with Visual Text Representations
COLING 2024
Promoting Data and Model Privacy in Federated Learning through Quantized LoRA
EMNLP 2024
Aligning Large Language Models with Human Preferences through Representation Engineering
ACL 2024
MTLS: Making Texts into Linguistic Symbols
EMNLP 2024
Searching for Best Practices in Retrieval-Augmented Generation
EMNLP 2024
Uni-Perceiver v2: A Generalist Model for Large-Scale Vision and Vision-Language Tasks
CVPR 2023
Hallucination Detection for Generative Large Language Models by Bayesian Sequential Estimation
EMNLP 2023
Measure Children’s Mindreading Ability with Machine Reading
EMNLP 2023
Uni-Perceiver: Pre-Training Unified Architecture for Generic Perception for Zero-Shot and Few-Shot Tasks
CVPR 2022
Uni-Perceiver-MoE: Learning Sparse Generalist Models with Conditional MoEs
NIPS 2022
Complementary Relation Contrastive Distillation
CVPR 2021
Intent Segmentation of User Queries Via Discourse Parsing
AACL 2020