Xiaohua Wang
26 papers · 2020–2026 · 8 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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🗺️ Taxonomy Completionist (64) 🏃 Academic Marathon · Sprint 🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Silver 🐣 Hot Topic Early Bird
🤝
Dynamic Duo
(16)
🚀
Conference Pioneer
🔥
Unstoppable · Bronze
⚡
Prolific Year · Prolific
💎
Century Club · Bronze
🌈
Renaissance Researcher
(6)
🗃️
Keyword Collector
(136)
Top co-authors
Research topics
Artificial Intelligence
(22)
Machine Learning
(20)
Core AI
(20)
Deep Learning
(14)
Learning Types · Machine Learning
(9)
Learning Types · Deep Learning
(9)
Natural Language Processing
(8)
Application Areas
(7)
Core Methods
(6)
Interdisciplinary
(5)
Optimization & Theory · Machine Learning
(5)
Applications
(4)
Optimization & Theory · Deep Learning
(4)
Generation
(3)
Learning Paradigms
(3)
Keywords
large language model
(6)
multimodal learning
(4)
representation learning
(3)
model privacy
(2)
multilingual language model
(2)
knowledge distillation
(2)
representation engineering
(2)
foundation model
(2)
latent space
(2)
transfer learning
(2)
representation editing
(2)
multimodal sentiment analysis
(2)
multi-task learning
(2)
zero-shot learning
(2)
cross-lingual transfer
(2)
language model
(2)
federated learning
(2)
parameter-efficient fine-tuning
(2)
hallucination detection
(2)
generalist model
(2)
Papers
Controllable Memory Usage: Balancing Anchoring and Innovation in Long-Term Human–Agent Interaction
ACL 2026
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
Beyond Single Labels: Improving Conversational Recommendation through LLM-Powered Data Augmentation
ACL 2025
DaNet: Dual-Aware Enhanced Alignment Network for Multimodal Aspect-Based Sentiment Analysis
ACL 2025
Dendritic Localized Learning: Toward Biologically Plausible Algorithm
ICML 2025
Enhancing Model Privacy in Federated Learning with Random Masking and Quantization
EMNLP 2025
Improving Continual Pre-training Through Seamless Data Packing
ACL 2025
Multimodal Invariant Sentiment Representation Learning
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
Tell Me What You Don’t Know: Enhancing Refusal Capabilities of Role-Playing Agents via Representation Space Analysis and Editing
ACL 2025
UPLex: Fine-Grained Personality Control in Large Language Models via Unsupervised Lexical Modulation
EMNLP 2025
Advancing Parameter Efficiency in Fine-tuning via Representation Editing
ACL 2024
Aligning Large Language Models with Human Preferences through Representation Engineering
ACL 2024
MEVTR: A Multilingual Model Enhanced with Visual Text Representations
COLING 2024
MTLS: Making Texts into Linguistic Symbols
EMNLP 2024
Promoting Data and Model Privacy in Federated Learning through Quantized LoRA
EMNLP 2024
Searching for Best Practices in Retrieval-Augmented Generation
EMNLP 2024
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 v2: A Generalist Model for Large-Scale Vision and Vision-Language Tasks
CVPR 2023
Uni-Perceiver-MoE: Learning Sparse Generalist Models with Conditional MoEs
NeurIPS 2022
Uni-Perceiver: Pre-Training Unified Architecture for Generic Perception for Zero-Shot and Few-Shot Tasks
CVPR 2022
Complementary Relation Contrastive Distillation
CVPR 2021
Intent Segmentation of User Queries Via Discourse Parsing
AACL 2020