Sheng wang
55 papers · 2013–2026 · 14 conferences · across top CS/AI conferences
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ACL (7)
ICLR (6)
MICCAI (5)
CVPR (4)
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Research topics
Keywords
large language model
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text generation
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neural network
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graph neural network
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representation learning
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contrastive learning
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knowledge graph
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zero-shot learning
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point cloud
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multiple sequence alignment
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knowledge distillation
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model compression
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protein language model
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parameter-efficient fine-tuning
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low-rank adaptation
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low-resource language
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multi-view learning
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self-supervised learning
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Papers
Letβs Think with Images Efficiently! An Interleaved-Modal Chain-of-Thought Reasoning Framework with Dynamic and Precise Visual Thoughts
AAAI 2026
Mitigating Context Interference for Reliable and Efficient Search Agents
ACL 2026
Enhancing Speech-to-Speech Dialogue Modeling with End-to-End Retrieval-Augmented Generation
EMNLP 2025
Developing and Utilizing a Large-Scale Cantonese Dataset for Multi-Tasking in Large Language Models
EMNLP 2025
ProReason: Multi-Modal Proactive Reasoning with Decoupled Eyesight and Wisdom
EMNLP 2025
QSpec: Speculative Decoding with Complementary Quantization Schemes
EMNLP 2025
GrInAdapt: Source-free Multi-Target Domain Adaptation for Retinal Vessel Segmentation
MICCAI 2025
MMedPO: Aligning Medical Vision-Language Models with Clinical-Aware Multimodal Preference Optimization
ICML 2025
MUC: Mixture of Uncalibrated Cameras for Robust 3D Human Body Reconstruction
AAAI 2025
MMed-RAG: Versatile Multimodal RAG System for Medical Vision Language Models
ICLR 2025
MoS: Unleashing Parameter Efficiency of Low-Rank Adaptation with Mixture of Shards
ICLR 2025
How Well Do LLMs Handle Cantonese? Benchmarking Cantonese Capabilities of Large Language Models
NAACL 2025
Query-Level Alignment for End-to-End Lesion Detection with Human Gaze
MICCAI 2025
UAlign: Leveraging Uncertainty Estimations for Factuality Alignment on Large Language Models
ACL 2025
MlingConf: A Comprehensive Study of Multilingual Confidence Estimation on Large Language Models
ACL 2025
Hotspot-Driven Peptide Design via Multi-Fragment Autoregressive Extension
ICLR 2025
Forewarned is Forearmed: Harnessing LLMs for Data Synthesis via Failure-induced Exploration
ICLR 2025
Group Ligands Docking to Protein Pockets
ICLR 2025
MITracker: Multi-View Integration for Visual Object Tracking
CVPR 2025
Med-LEGO: Editing and Adapting toward Generalist Medical Image Diagnosis
MICCAI 2025
Demeter: A Parametric Model of Crop Plant Morphology from the Real World
ICCV 2025
Retrieved Sequence Augmentation for Protein Representation Learning
EMNLP 2024
Mining Gaze for Contrastive Learning toward Computer-Assisted Diagnosis
AAAI 2024
Cross-Domain Contrastive Learning for Time Series Clustering
AAAI 2024
PRoLoRA: Partial Rotation Empowers More Parameter-Efficient LoRA
ACL 2024
LoRA Meets Dropout under a Unified Framework
ACL 2024
Physical Property Understanding from Language-Embedded Feature Fields
CVPR 2024
A Comprehensive Survey of Scientific Large Language Models and Their Applications in Scientific Discovery
EMNLP 2024
MMICL: Empowering Vision-language Model with Multi-Modal In-Context Learning
ICLR 2024
Gaze-DETR: Using Expert Gaze to Reduce False Positives in Vulvovaginal Candidiasis Screening
MICCAI 2024
RIP-AV: Joint Representative Instance Pre-training with Context Aware Network for Retinal Artery/Vein Segmentation
MICCAI 2024
GraphPrompt: Graph-Based Prompt Templates for Biomedical Synonym Prediction
AAAI 2023
Robust One-Shot Segmentation of Brain Tissues via Image-Aligned Style Transformation
AAAI 2023
A Cognitive Stimulation Dialogue System with Multi-source Knowledge Fusion for Elders with Cognitive Impairment
ACL 2023
Encrypted Databases Made Secure Yet Maintainable
OSDI 2023
MetaFill: Text Infilling for Meta-Path Generation on Heterogeneous Information Networks
EMNLP 2022
Pathway2Text: Dataset and Method for Biomedical Pathway Description Generation
NAACL 2022
Textomics: A Dataset for Genomics Data Summary Generation
ACL 2022
Seed-Guided Topic Discovery with Out-of-Vocabulary Seeds
NAACL 2022
Weakly Supervised Object Localization through Inter-class Feature Similarity and Intra-Class Appearance Consistency
ECCV 2022
Antigen-Specific Antibody Design and Optimization with Diffusion-Based Generative Models for Protein Structures
NIPS 2022
Distribution-Informed Neural Networks for Domain Adaptation Regression
NIPS 2022
DisenCite: Graph-Based Disentangled Representation Learning for Context-Specific Citation Generation
AAAI 2022
Contact-Distil: Boosting Low Homologous Protein Contact Map Prediction by Self-Supervised Distillation
AAAI 2022
Towards Accurate Active Camera Localization
ECCV 2022
Graphine: A Dataset for Graph-aware Terminology Definition Generation
EMNLP 2021
InstanceRefer: Cooperative Holistic Understanding for Visual Grounding on Point Clouds Through Instance Multi-Level Contextual Referring
ICCV 2021
Shallow Feature Matters for Weakly Supervised Object Localization
CVPR 2021
Adaptive Residue-wise Profile Fusion for Low Homologous Protein Secondary Structure Prediction Using External Knowledge
IJCAI 2021
Auto-Encoding Knowledge Graph for Unsupervised Medical Report Generation
NIPS 2021
PSSM-Distil: Protein Secondary Structure Prediction (PSSP) on Low-Quality PSSM by Knowledge Distillation with Contrastive Learning
AAAI 2021
PointASNL: Robust Point Clouds Processing Using Nonlocal Neural Networks With Adaptive Sampling
CVPR 2020
Label-Driven Reconstruction for Domain Adaptation in Semantic Segmentation
ECCV 2020
Feature Learning Based Deep Supervised Hashing with Pairwise Labels
IJCAI 2016
Estimating the Partition Function of Graphical Models Using Langevin Importance Sampling
AISTATS 2013