Zheng Lin

72 papers · 2019–2026 · 11 conferences · across top CS/AI conferences

Achievements

🐣 Hot Topic Early Bird 🌉 Interdisciplinary Bridge 🗺️ Taxonomy Completionist (14) 🧭 Keyword Pioneer 🌍 Conference Polyglot (11) 🏃 Academic Marathon (6) 🐝 Cross-Pollinator (14) 🌈 Renaissance Researcher (10) 🏠 Conference Loyalist (22) 🏆 Keyword Champion (2) 🔬 Deep Specialist (13) 🤝 Dynamic Duo (45) 📈 Trend Setter 🗃️ Keyword Collector (345) 💎 Century Club (66) ❓ The Questioner ⚡ Prolific Year (9) 🔥 Unstoppable (7)

Conferences

ACL (22) AAAI (15) EMNLP (14) COLING (5) CVPR (5) IJCNLP (4) IJCAI (3) ECCV (1) ICCV (1) NAACL (1) NIPS (1)

Top co-authors

Weiping Wang (46) Peng Fu (21) Yanan Cao (17) Qingyi Si (14) Yuanxin Liu (12) Fandong Meng (10) Jiangnan Li (10) Jie Zhou (10) Chenxu Yang (8) Naibin Gu (8)

Research topics

Reasoning (1) Privacy (1)

Keywords

large language model (15) model compression (12) visual question answering (9) knowledge distillation (7) contrastive learning (7) dialogue generation (5) multimodal learning (5) low-rank adaptation (4) question answering (4) semantic segmentation (4) transfer learning (4) neural network optimization (4) language model (4) graph neural network (4) mixture of expert (3) parameter-efficient fine-tuning (3) pre-trained language model (3) diffusion model (3) domain generalization (3) attention mechanism (3)

Papers

Efficient LLM-Jailbreaking via Multimodal-LLM Jailbreak AAAI 2026

IO-RAE: Information-Obfuscation Reversible Adversarial Example for Audio Privacy Protection AAAI 2026

CrossCut: Cross-Patch Aware Interactive Segmentation for Remote Sensing Images AAAI 2026

Breaking the Trade-Off Between Faithfulness and Expressiveness for Large Language Models AAAI 2026

Test-time Prompt Intervention AAAI 2026

PRISM: Privacy-Aware Routing for Adaptive Cloud–Edge LLM Inference via Semantic Sketch Collaboration AAAI 2026

Categorical Attention: Fine-grained Language-guided Noise Filtering Network for Occluded Person Re-Identification IJCAI 2025

AutoPrompt: Automated Red-Teaming of Text-to-Image Models via LLM-Driven Adversarial Prompts ICCV 2025

Weights-Rotated Preference Optimization for Large Language Models EMNLP 2025

CBP-Tuning: Efficient Local Customization for Black-box Large Language Models EMNLP 2025

Sibyl: Empowering Empathetic Dialogue Generation in Large Language Models via Sensible and Visionary Commonsense Inference COLING 2025

Relation Also Knows: Rethinking the Recall and Editing of Factual Associations in Auto-Regressive Transformer Language Models AAAI 2025

Trust-GRS: A Trustworthy Training Framework for Graph Neural Network Based Recommender Systems Against Shilling Attacks AAAI 2025

PIG: Privacy Jailbreak Attack on LLMs via Gradient-based Iterative In-Context Optimization ACL 2025

BeamLoRA: Beam-Constraint Low-Rank Adaptation ACL 2025

Adapt Once, Thrive with Updates: Transferable Parameter-Efficient Fine-Tuning on Evolving Base Models ACL 2025

DIVE into MoE: Diversity-Enhanced Reconstruction of Large Language Models from Dense into Mixture-of-Experts ACL 2025

TableDreamer: Progressive and Weakness-guided Data Synthesis from Scratch for Table Instruction Tuning ACL 2025

Grammar-Based Code Representation: Is It a Worthy Pursuit for LLMs? ACL 2025

TailorKV: A Hybrid Framework for Long-Context Inference via Tailored KV Cache Optimization ACL 2025

A Diffusion-Based Framework for Occluded Object Movement AAAI 2025

DiffRetouch: Using Diffusion to Retouch on the Shoulder of Experts AAAI 2025

Multimodal Hypothetical Summary for Retrieval-based Multi-image Question Answering AAAI 2025

Exploring Salient Object Detection with Adder Neural Networks AAAI 2025

A Pedestrian is Worth One Prompt: Towards Language Guidance Person Re-Identification CVPR 2024

TeMO: Towards Text-Driven 3D Stylization for Multi-Object Meshes CVPR 2024

Prediction Exposes Your Face: Black-box Model Inversion via Prediction Alignment ECCV 2024

Towards One-to-Many Visual Question Answering EMNLP 2024

Object Attribute Matters in Visual Question Answering AAAI 2024

Light-PEFT: Lightening Parameter-Efficient Fine-Tuning via Early Pruning ACL 2024

Pruning Large Language Models to Intra-module Low-rank Architecture with Transitional Activations ACL 2024

Multimodal Table Understanding ACL 2024

Chain-of-Thought Reasoning in Tabular Language Models EMNLP 2023

Retrieve-and-Sample: Document-level Event Argument Extraction via Hybrid Retrieval Augmentation ACL 2023

Divide, Conquer, and Combine: Mixture of Semantic-Independent Experts for Zero-Shot Dialogue State Tracking ACL 2023

DiffusEmp: A Diffusion Model-Based Framework with Multi-Grained Control for Empathetic Response Generation ACL 2023

A Gradient Control Method for Backdoor Attacks on Parameter-Efficient Tuning ACL 2023

IM-TQA: A Chinese Table Question Answering Dataset with Implicit and Multi-type Table Structures ACL 2023

Combo of Thinking and Observing for Outside-Knowledge VQA ACL 2023

Maximum Entropy Loss, the Silver Bullet Targeting Backdoor Attacks in Pre-trained Language Models ACL 2023

Question-Interlocutor Scope Realized Graph Modeling over Key Utterances for Dialogue Reading Comprehension ACL 2023

Compressing and Debiasing Vision-Language Pre-Trained Models for Visual Question Answering EMNLP 2023

Multi-level Adaptive Contrastive Learning for Knowledge Internalization in Dialogue Generation EMNLP 2023

An Empirical Study of Instruction-tuning Large Language Models in Chinese EMNLP 2023

Learning to Win Lottery Tickets in BERT Transfer via Task-agnostic Mask Training NAACL 2022

A Win-win Deal: Towards Sparse and Robust Pre-trained Language Models NIPS 2022

COST-EFF: Collaborative Optimization of Spatial and Temporal Efficiency with Slenderized Multi-exit Language Models EMNLP 2022

Target Really Matters: Target-aware Contrastive Learning and Consistency Regularization for Few-shot Stance Detection COLING 2022

CLIO: Role-interactive Multi-event Head Attention Network for Document-level Event Extraction COLING 2022

Slot Dependency Modeling for Zero-Shot Cross-Domain Dialogue State Tracking COLING 2022

Neutral Utterances are Also Causes: Enhancing Conversational Causal Emotion Entailment with Social Commonsense Knowledge IJCAI 2022

TAKE: Topic-shift Aware Knowledge sElection for Dialogue Generation COLING 2022

FocusCut: Diving Into a Focus View in Interactive Segmentation CVPR 2022

Neural Label Search for Zero-Shot Multi-Lingual Extractive Summarization ACL 2022

Language Prior Is Not the Only Shortcut: A Benchmark for Shortcut Learning in VQA EMNLP 2022

Empathetic Dialogue Generation via Sensitive Emotion Recognition and Sensible Knowledge Selection EMNLP 2022

Towards Robust Visual Question Answering: Making the Most of Biased Samples via Contrastive Learning EMNLP 2022

Enhancing Zero-shot and Few-shot Stance Detection with Commonsense Knowledge Graph ACL 2021

Check It Again:Progressive Visual Question Answering via Visual Entailment 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 IJCNLP 2021

Check It Again:Progressive Visual Question Answering via Visual Entailment IJCNLP 2021

Marginal Utility Diminishes: Exploring the Minimum Knowledge for BERT Knowledge Distillation ACL 2021

ROSITA: Refined BERT cOmpreSsion with InTegrAted techniques AAAI 2021

Past, Present, and Future: Conversational Emotion Recognition through Structural Modeling of Psychological Knowledge EMNLP 2021

Enhancing Zero-shot and Few-shot Stance Detection with Commonsense Knowledge Graph IJCNLP 2021

Modeling Intra and Inter-modality Incongruity for Multi-Modal Sarcasm Detection EMNLP 2020

Joint Character-Level Word Embedding and Adversarial Stability Training to Defend Adversarial Text AAAI 2020

Taking a Deeper Look at Co-Salient Object Detection CVPR 2020

Interactive Image Segmentation With First Click Attention CVPR 2020

Ranking and Sampling in Open-Domain Question Answering EMNLP 2019

Ranking and Sampling in Open-Domain Question Answering IJCNLP 2019