Zheng Lin
70 papers · 2019–2026 · 10 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.
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Machine Learning
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large language model
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model compression
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visual question answering
(8)
contrastive learning
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knowledge distillation
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multimodal learning
(5)
dialogue generation
(5)
language model
(4)
pre-trained language model
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question answering
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semantic segmentation
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low-rank adaptation
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graph neural network
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transfer learning
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mixture of expert
(3)
parameter-efficient fine-tuning
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model pruning
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attention mechanism
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domain generalization
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neural network optimization
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Papers
Blink: Dynamic Visual Token Resolution for Enhanced Multimodal Understanding
CVPR 2026
Breaking the Trade-Off Between Faithfulness and Expressiveness for Large Language Models
AAAI 2026
CrossCut: Cross-Patch Aware Interactive Segmentation for Remote Sensing Images
AAAI 2026
Efficient LLM-Jailbreaking via Multimodal-LLM Jailbreak
AAAI 2026
IO-RAE: Information-Obfuscation Reversible Adversarial Example for Audio Privacy Protection
AAAI 2026
PRISM: Privacy-Aware Routing for Adaptive CloudβEdge LLM Inference via Semantic Sketch Collaboration
AAAI 2026
Test-time Prompt Intervention
AAAI 2026
VecInfer: Efficient LLM Inference with Low-Bit KV Cache via Outlier-Suppressed Vector Quantization
ACL 2026
Adapt Once, Thrive with Updates: Transferable Parameter-Efficient Fine-Tuning on Evolving Base Models
ACL 2025
A Diffusion-Based Framework for Occluded Object Movement
AAAI 2025
AutoPrompt: Automated Red-Teaming of Text-to-Image Models via LLM-Driven Adversarial Prompts
ICCV 2025
BeamLoRA: Beam-Constraint Low-Rank Adaptation
ACL 2025
Categorical Attention: Fine-grained Language-guided Noise Filtering Network for Occluded Person Re-Identification
IJCAI 2025
CBP-Tuning: Efficient Local Customization for Black-box Large Language Models
EMNLP 2025
DiffRetouch: Using Diffusion to Retouch on the Shoulder of Experts
AAAI 2025
DIVE into MoE: Diversity-Enhanced Reconstruction of Large Language Models from Dense into Mixture-of-Experts
ACL 2025
Exploring Salient Object Detection with Adder Neural Networks
AAAI 2025
Grammar-Based Code Representation: Is It a Worthy Pursuit for LLMs?
ACL 2025
Multimodal Hypothetical Summary for Retrieval-based Multi-image Question Answering
AAAI 2025
PIG: Privacy Jailbreak Attack on LLMs via Gradient-based Iterative In-Context Optimization
ACL 2025
Relation Also Knows: Rethinking the Recall and Editing of Factual Associations in Auto-Regressive Transformer Language Models
AAAI 2025
Sibyl: Empowering Empathetic Dialogue Generation in Large Language Models via Sensible and Visionary Commonsense Inference
COLING 2025
TableDreamer: Progressive and Weakness-guided Data Synthesis from Scratch for Table Instruction Tuning
ACL 2025
TailorKV: A Hybrid Framework for Long-Context Inference via Tailored KV Cache Optimization
ACL 2025
Trust-GRS: A Trustworthy Training Framework for Graph Neural Network Based Recommender Systems Against Shilling Attacks
AAAI 2025
Weights-Rotated Preference Optimization for Large Language Models
EMNLP 2025
A Pedestrian is Worth One Prompt: Towards Language Guidance Person Re-Identification
CVPR 2024
Light-PEFT: Lightening Parameter-Efficient Fine-Tuning via Early Pruning
ACL 2024
Multimodal Table Understanding
ACL 2024
Object Attribute Matters in Visual Question Answering
AAAI 2024
Prediction Exposes Your Face: Black-box Model Inversion via Prediction Alignment
ECCV 2024
Pruning Large Language Models to Intra-module Low-rank Architecture with Transitional Activations
ACL 2024
TeMO: Towards Text-Driven 3D Stylization for Multi-Object Meshes
CVPR 2024
Towards One-to-Many Visual Question Answering
EMNLP 2024
A Gradient Control Method for Backdoor Attacks on Parameter-Efficient Tuning
ACL 2023
An Empirical Study of Instruction-tuning Large Language Models in Chinese
EMNLP 2023
Chain-of-Thought Reasoning in Tabular Language Models
EMNLP 2023
Combo of Thinking and Observing for Outside-Knowledge VQA
ACL 2023
Compressing and Debiasing Vision-Language Pre-Trained Models for Visual Question Answering
EMNLP 2023
DiffusEmp: A Diffusion Model-Based Framework with Multi-Grained Control for Empathetic Response Generation
ACL 2023
Divide, Conquer, and Combine: Mixture of Semantic-Independent Experts for Zero-Shot Dialogue State Tracking
ACL 2023
IM-TQA: A Chinese Table Question Answering Dataset with Implicit and Multi-type Table Structures
ACL 2023
Maximum Entropy Loss, the Silver Bullet Targeting Backdoor Attacks in Pre-trained Language Models
ACL 2023
Multi-level Adaptive Contrastive Learning for Knowledge Internalization in Dialogue Generation
EMNLP 2023
Question-Interlocutor Scope Realized Graph Modeling over Key Utterances for Dialogue Reading Comprehension
ACL 2023
Retrieve-and-Sample: Document-level Event Argument Extraction via Hybrid Retrieval Augmentation
ACL 2023
A Win-win Deal: Towards Sparse and Robust Pre-trained Language Models
NeurIPS 2022
CLIO: Role-interactive Multi-event Head Attention Network for Document-level Event Extraction
COLING 2022
COST-EFF: Collaborative Optimization of Spatial and Temporal Efficiency with Slenderized Multi-exit Language Models
EMNLP 2022
Empathetic Dialogue Generation via Sensitive Emotion Recognition and Sensible Knowledge Selection
EMNLP 2022
FocusCut: Diving Into a Focus View in Interactive Segmentation
CVPR 2022
Language Prior Is Not the Only Shortcut: A Benchmark for Shortcut Learning in VQA
EMNLP 2022
Learning to Win Lottery Tickets in BERT Transfer via Task-agnostic Mask Training
NAACL 2022
Neural Label Search for Zero-Shot Multi-Lingual Extractive Summarization
ACL 2022
Neutral Utterances are Also Causes: Enhancing Conversational Causal Emotion Entailment with Social Commonsense Knowledge
IJCAI 2022
Slot Dependency Modeling for Zero-Shot Cross-Domain Dialogue State Tracking
COLING 2022
TAKE: Topic-shift Aware Knowledge sElection for Dialogue Generation
COLING 2022
Target Really Matters: Target-aware Contrastive Learning and Consistency Regularization for Few-shot Stance Detection
COLING 2022
Towards Robust Visual Question Answering: Making the Most of Biased Samples via Contrastive Learning
EMNLP 2022
Check It Again:Progressive Visual Question Answering via Visual Entailment
ACL 2021
Enhancing Zero-shot and Few-shot Stance Detection with Commonsense Knowledge Graph
ACL 2021
Learning Class-Transductive Intent Representations for Zero-shot Intent Detection
IJCAI 2021
Marginal Utility Diminishes: Exploring the Minimum Knowledge for BERT Knowledge Distillation
ACL 2021
Past, Present, and Future: Conversational Emotion Recognition through Structural Modeling of Psychological Knowledge
EMNLP 2021
ROSITA: Refined BERT cOmpreSsion with InTegrAted techniques
AAAI 2021
Interactive Image Segmentation With First Click Attention
CVPR 2020
Joint Character-Level Word Embedding and Adversarial Stability Training to Defend Adversarial Text
AAAI 2020
Modeling Intra and Inter-modality Incongruity for Multi-Modal Sarcasm Detection
EMNLP 2020
Taking a Deeper Look at Co-Salient Object Detection
CVPR 2020
Ranking and Sampling in Open-Domain Question Answering
EMNLP 2019