Xingwu Sun
26 papers · 2018–2026 · 10 venues · across top CS/AI venues
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Topic Evolution
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Century Club · Bronze
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Research topics
Machine Learning
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Artificial Intelligence
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Deep Learning
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Natural Language Processing
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Learning Types · Deep Learning
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Architectures
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Learning Types · Machine Learning
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Models
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Computer Vision
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multimodal learning
(3)
neural network
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document retrieval
(3)
large language model
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transformer architecture
(2)
state space model
(2)
mixture of expert
(2)
evaluation benchmark
(2)
parameter efficiency
(2)
vision-language model
(2)
adversarial attack
(2)
visual question answering
(2)
multimodal large language model
(2)
direct preference optimization
(1)
preference learning
(1)
catastrophic forgetting
(1)
hyperparameter optimization
(1)
contrastive learning
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transfer learning
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in-context learning
(1)
Papers
TransMamba: A Sequence-Level Hybrid Transformer-Mamba Language Model
AAAI 2026
Autonomy-of-Experts Models
ICML 2025
Continuous Speech Tokenizer in Text To Speech
NAACL 2025
Enhancing Contrastive Learning Inspired by the Philosophy of “The Blind Men and the Elephant”
AAAI 2025
Exploring Forgetting in Large Language Model Pre-Training
ACL 2025
HMoE: Heterogeneous Mixture of Experts for Language Modeling
EMNLP 2025
Hybrid-Tower: Fine-grained Pseudo-query Interaction and Generation for Text-to-Video Retrieval
ICCV 2025
Language Models “Grok” to Copy
NAACL 2025
Mitigating Hallucination in Multimodal Large Language Model via Hallucination-targeted Direct Preference Optimization
ACL 2025
PhD: A ChatGPT-Prompted Visual Hallucination Evaluation Dataset
CVPR 2025
QAVA: Query-Agnostic Visual Attack to Large Vision-Language Models
NAACL 2025
Scaling Laws for Floating–Point Quantization Training
ICML 2025
Sparsifying Mamba
EMNLP 2025
The Security Threat of Compressed Projectors in Large Vision-Language Models
EMNLP 2025
DINGO: Towards Diverse and Fine-Grained Instruction-Following Evaluation
AAAI 2024
LightVLP: A Lightweight Vision-Language Pre-training via Gated Interactive Masked AutoEncoders
COLING 2024
SeeDRec: Sememe-based Diffusion for Sequential Recommendation
IJCAI 2024
Surge Phenomenon in Optimal Learning Rate and Batch Size Scaling
NeurIPS 2024
Truth Forest: Toward Multi-Scale Truthfulness in Large Language Models through Intervention without Tuning
AAAI 2024
TencentPretrain: A Scalable and Flexible Toolkit for Pre-training Models of Different Modalities
ACL 2023
An Anchor-based Relative Position Embedding Method for Cross-Modal Tasks
EMNLP 2022
A Bidirectional Multi-paragraph Reading Model for Zero-shot Entity Linking
AAAI 2021
Enhancing Document Ranking with Task-adaptive Training and Segmented Token Recovery Mechanism
EMNLP 2021
Improving Document Representations by Generating Pseudo Query Embeddings for Dense Retrieval
ACL 2021
TITA: A Two-stage Interaction and Topic-Aware Text Matching Model
NAACL 2021
Answer-focused and Position-aware Neural Question Generation
EMNLP 2018