Jian Liu

70 papers · 2018–2026 · 12 conferences · across top CS/AI conferences

Achievements

🏃 Academic Marathon (7) 🗺️ Taxonomy Completionist (122) 🌈 Renaissance Researcher (10) 🐝 Cross-Pollinator (14) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🌍 Conference Polyglot (12) 🤝 Dynamic Duo (19) 👥 Mega-Team (71) 🏆 Keyword Champion (2) 💎 Century Club (69) 🚀 Conference Pioneer ⚡ Prolific Year (6) ❓ The Questioner 🔥 Unstoppable (8) 🗃️ Keyword Collector (295)

Conferences

AAAI (12) EMNLP (12) ACL (9) ICCV (8) IJCAI (8) CVPR (7) ECCV (3) ICML (3) NIPS (3) COLING (2) IJCNLP (2) NAACL (1)

Top co-authors

Jinan Xu (19) Yufeng Chen (16) Kang Liu (7) Yubo Chen (6) Wentong Li (5) Yue Zhang (5) Leyang Cui (5) Hui Huang (5) Dongqi Tang (4) Zhe Zhao (4)

Research topics

Keywords

question answering (6) named entity recognition (6) event detection (6) data augmentation (5) event extraction (4) zero-shot learning (4) adversarial attack (4) machine reading comprehension (4) neural machine translation (4) knowledge distillation (4) neural network (3) adversarial learning (3) unsupervised learning (3) generative model (3) weakly supervised learning (3) multimodal learning (3) logical reasoning (3) contrastive learning (2) adversarial robustness (2) information extraction (2)

Papers

TextShield-R1: Reinforced Reasoning for Tampered Text Detection AAAI 2026

MoFRR: Mixture of Diffusion Models for Face Retouching Restoration ICCV 2025

Backdooring Self-Supervised Contrastive Learning by Noisy Alignment ICCV 2025

FlexQuant: A Flexible and Efficient Dynamic Precision Switching Framework for LLM Quantization EMNLP 2025

KGCRR: An Effective Metric-Driven Knowledge Graph Completion Framework by Designing a Novel Upper Bound Function with Adaptive Approximation to Reciprocal Rank AAAI 2025

PhysAug: A Physical-guided and Frequency-based Data Augmentation for Single-Domain Generalized Object Detection AAAI 2025

Adaptive Merchant-Centric Risk Control via Unbiased Decision-Making and Dynamic Optimization in E-Commerce AAAI 2025

FreeMesh: Boosting Mesh Generation with Coordinates Merging ICML 2025

Multi-Stage LLM Fine-Tuning with a Continual Learning Setting NAACL 2025

TAET: Two-Stage Adversarial Equalization Training on Long-Tailed Distributions CVPR 2025

Scaling Mesh Generation via Compressive Tokenization CVPR 2025

Scalable Autoregressive Monocular Depth Estimation CVPR 2025

G-DexGrasp: Generalizable Dexterous Grasping Synthesis Via Part-Aware Prior Retrieval and Prior-Assisted Generation ICCV 2025

OrderChain: Towards General Instruct-Tuning for Stimulating the Ordinal Understanding Ability of MLLM ICCV 2025

MambaML: Exploring State Space Models for Multi-Label Image Classification ICCV 2025

AFBench: A Large-scale Benchmark for Airfoil Design NIPS 2024

Towards Better Question Generation in QA-based Event Extraction ACL 2024

Towards Multi-Relational Multi-Hop Reasoning over Dense Temporal Knowledge Graphs ACL 2024

SyCoCa: Symmetrizing Contrastive Captioners with Attentive Masking for Multimodal Alignment ICML 2024

Aligning Neuronal Coding of Dynamic Visual Scenes with Foundation Vision Models ECCV 2024

Position: TrustLLM: Trustworthiness in Large Language Models ICML 2024

Video Event Extraction with Multi-View Interaction Knowledge Distillation AAAI 2024

Divide-and-Aggregate Learning for Evaluating Performance on Unlabeled Data AAAI 2024

Strengthening Layer Interaction via Dynamic Layer Attention IJCAI 2024

EAB-FL: Exacerbating Algorithmic Bias through Model Poisoning Attacks in Federated Learning IJCAI 2024

Osprey: Pixel Understanding with Visual Instruction Tuning CVPR 2024

Point2Mask: Point-supervised Panoptic Segmentation via Optimal Transport ICCV 2023

Label-efficient Segmentation via Affinity Propagation NIPS 2023

Scene-Aware Label Graph Learning for Multi-Label Image Classification ICCV 2023

Learning with Partial Annotations for Event Detection ACL 2023

Towards Understanding and Improving Knowledge Distillation for Neural Machine Translation ACL 2023

Document-Level Event Argument Extraction With a Chain Reasoning Paradigm ACL 2023

A Multi-modal Debiasing Model with Dynamical Constraint for Robust Visual Question Answering ACL 2023

A Quality-based Syntactic Template Retriever for Syntactically-Controlled Paraphrase Generation EMNLP 2023

Addressing NER Annotation Noises with Uncertainty-Guided Tree-Structured CRFs EMNLP 2023

Novel Slot Detection With an Incremental Setting EMNLP 2023

Generating Transferable 3D Adversarial Point Cloud via Random Perturbation Factorization AAAI 2023

AffordPose: A Large-Scale Dataset of Hand-Object Interactions with Affordance-Driven Hand Pose ICCV 2023

Auditing Privacy Defenses in Federated Learning via Generative Gradient Leakage CVPR 2022

Privacy-Preserving Face Recognition in the Frequency Domain AAAI 2022

Conditional Bilingual Mutual Information Based Adaptive Training for Neural Machine Translation ACL 2022

Saliency as Evidence: Event Detection with Trigger Saliency Attribution ACL 2022

Iterative Constrained Back-Translation for Unsupervised Domain Adaptation of Machine Translation COLING 2022

Label Relation Graphs Enhanced Hierarchical Residual Network for Hierarchical Multi-Granularity Classification CVPR 2022

SNN-RAT: Robustness-enhanced Spiking Neural Network through Regularized Adversarial Training NIPS 2022

RIBAC: Towards Robust and Imperceptible Backdoor Attack against Compact DNN ECCV 2022

Watermark Vaccine: Adversarial Attacks to Prevent Watermark Removal ECCV 2022

BJTU-Toshiba’s Submission to WMT22 Quality Estimation Shared Task EMNLP 2022

Improved Data Augmentation for Translation Suggestion EMNLP 2022

Low-Resource NER by Data Augmentation With Prompting IJCAI 2022

Saliency-based Multi-View Mixed Language Training for Zero-shot Cross-lingual Classification EMNLP 2021

Machine Reading Comprehension as Data Augmentation: A Case Study on Implicit Event Argument Extraction EMNLP 2021

Template-Based Named Entity Recognition Using BART ACL 2021

Discourse-Level Event Temporal Ordering with Uncertainty-Guided Graph Completion IJCAI 2021

Improving Stylized Neural Machine Translation with Iterative Dual Knowledge Transfer IJCAI 2021

Cross-Domain Slot Filling as Machine Reading Comprehension IJCAI 2021

Enabling Fast and Universal Audio Adversarial Attack Using Generative Model AAAI 2021

Natural Language Inference in Context - Investigating Contextual Reasoning over Long Texts AAAI 2021

Template-Based Named Entity Recognition Using BART IJCNLP 2021

Solving Aspect Category Sentiment Analysis as a Text Generation Task EMNLP 2021

Graph-Based Knowledge Integration for Question Answering over Dialogue COLING 2020

Adversarial Training Based Multi-Source Unsupervised Domain Adaptation for Sentiment Analysis AAAI 2020

Knowledge Enhanced Event Causality Identification with Mention Masking Generalizations IJCAI 2020

Event Extraction as Machine Reading Comprehension EMNLP 2020

How Does Context Matter? On the Robustness of Event Detection with Context-Selective Mask Generalization EMNLP 2020

LogiQA: A Challenge Dataset for Machine Reading Comprehension with Logical Reasoning IJCAI 2020

Exploiting the Ground-Truth: An Adversarial Imitation Based Knowledge Distillation Approach for Event Detection AAAI 2019

Neural Cross-Lingual Event Detection with Minimal Parallel Resources IJCNLP 2019

Neural Cross-Lingual Event Detection with Minimal Parallel Resources EMNLP 2019

Defense Against Universal Adversarial Perturbations CVPR 2018