← Authors

CHAO LI

116 papers · 2011–2026 · 16 conferences · across top CS/AI conferences

Achievements

πŸ—ΊοΈ Taxonomy Completionist (24) 🧭 Keyword Pioneer 🌍 Conference Polyglot (16) 🐣 Hot Topic Early Bird 🐝 Cross-Pollinator (12) 🌈 Renaissance Researcher (7) πŸŒ‰ Interdisciplinary Bridge πŸƒ Academic Marathon (14) 🏠 Conference Loyalist (22) 🀝 Dynamic Duo (17) πŸ‘‘ Triple Crown πŸ† Keyword Champion (2) πŸ† Grand Slam πŸ‘₯ Mega-Team (85) πŸ”¬ Deep Specialist (13) πŸ“ˆ Trend Setter πŸ”₯ Unstoppable (9) ❓ The Questioner πŸš€ Conference Pioneer πŸ’Ž Century Club (108) ⚑ Prolific Year (23) πŸ—ƒοΈ Keyword Collector (56)

Conferences

AAAI (22) CVPR (13) IJCAI (10) NIPS (10) MICCAI (9) ICCV (8) ICML (8) ACL (7) COLING (6) ECCV (6) EMNLP (4) ICLR (4) IJCNLP (3) WACV (3) INTERSPEECH (2) AISTATS (1)

Top co-authors

Qibin Zhao (17) Qingyu Zhou (10) Yunbo Cao (10) Zhongli Li (9) Zhun Sun (7) Cheng Deng (7) Zhongying Zhao (7) Anbang Yao (6) Kelu Yao (5) Qingtian Zeng (5)

Research topics

Models (1) Privacy (1) Education (1)

Keywords

convolutional neural network (7) graph neural network (7) contrastive learning (6) multimodal learning (6) node classification (4) tensor network (4) generative adversarial network (4) neural network (4) knowledge distillation (4) tensor decomposition (4) vision transformer (4) model compression (4) hash code (3) structure search (3) self-supervised learning (3) large language model (3) image inpainting (3) cross-modal retrieval (3) adversarial attack (3) attention mechanism (3)

Papers

Can Pseudo-Label Be More Reliable? A Simple yet Effective Topology-Aware Graph Self-Training Method AAAI 2026
ICAD-LLM: One-for-All Anomaly Detection via In-Context Learning with Large Language Models AAAI 2026
State-Derivative-Aware Neural Controlled Differential Equations for Multivariate Time Series Anomaly Detection and Diagnosis AAAI 2026
AIR-DR: Adaptive Image Retargeting with Instance Relocation and Dual-guidance Repainting AAAI 2026
Asymmetric Cross-Modal Knowledge Distillation: Bridging Modalities with Weak Semantic Consistency AAAI 2026
Stage-Aware Graph Contrastive Learning with Node-oriented Mixture of Experts AAAI 2026
FreqTAD: Multi-scale Frequency Encoding and Time-Frequency Attention for Anomaly Detection in Dynamic Graphs AAAI 2026
DARLING: Dual Hypergraph-Enhanced Curriculum-Guided Graph Structure Learning for Node Classification AAAI 2026
Morse: Dual-Sampling for Lossless Acceleration of Diffusion Models ICML 2025
DoF: A Diffusion Factorization Framework for Offline Multi-Agent Reinforcement Learning ICLR 2025
Bridging Traffic State and Trajectory for Dynamic Road Network and Trajectory Representation Learning AAAI 2025
Lightweight Yet Fine-Grained: A Graph Capsule Convolutional Network with Subspace Alignment for Shared-Account Sequential Recommendation AAAI 2025
Teacher-guided Edge Discriminator for Personalized Graph Masked Autoencoder AAAI 2025
Beyond Mandatory Federations: Balancing Egoism, Utilitarianism and Egalitarianism in Mixed-Motive Games AAAI 2025
Hierarchical Attention Generates Better Proofs ACL 2025
Idea23D: Collaborative LMM Agents Enable 3D Model Generation from Interleaved Multimodal Inputs COLING 2025
Parameter-Efficient Fine-Tuning of 3D DDPM for MRI Image Generation Using Tensor Networks MICCAI 2025
Domain Generalization for Mammogram Classification by Suppressing Domain-Specific Features MICCAI 2025
Adaptive Spatial Transcriptomics Interpolation via Cross-modal Cross-slice Modeling MICCAI 2025
Forensics-Bench: A Comprehensive Forgery Detection Benchmark Suite for Large Vision Language Models CVPR 2025
STEPS: Sequential Probability Tensor Estimation for Text-to-Image Hard Prompt Search CVPR 2025
Hyperspectral Pansharpening via Diffusion Models with Iteratively Zero-Shot Guidance CVPR 2025
CoLA-Former: Graph Transformer Using Communal Linear Attention for Lightweight Sequential Recommendation IJCAI 2025
Generate or Re-Weight? A Mutual-Guidance Method for Class-Imbalanced Graphs IJCAI 2025
Crafting Customisable Characters with LLMs: A Persona-Driven Role-Playing Agent Framework EMNLP 2025
Dual Defense: Enhancing Privacy and Mitigating Poisoning Attacks in Federated Learning NIPS 2024
Enhancing Vision Transformer: Amplifying Non-Linearity in Feedforward Network Module ICML 2024
Prune and Repaint: Content-Aware Image Retargeting for any Ratio NIPS 2024
KernelWarehouse: Rethinking the Design of Dynamic Convolution ICML 2024
Diagnosing the Compositional Knowledge of Vision Language Models from a Game-Theoretic View ICML 2024
Adversarial Training on Purification (AToP): Advancing Both Robustness and Generalization ICLR 2024
MMAD:Multi-modal Movie Audio Description COLING 2024
Long-range Meta-path Search on Large-scale Heterogeneous Graphs NIPS 2024
4K-Resolution Photo Exposure Correction at 125 FPS With ~8K Parameters WACV 2024
Spherical World-Locking for Audio-Visual Localization in Egocentric Videos ECCV 2024
Optimistic Value Instructors for Cooperative Multi-Agent Reinforcement Learning AAAI 2024
LoRAExit: Empowering Dynamic Modulation of LLMs in Resource-limited Settings using Low-rank Adapters EMNLP 2024
tnGPS: Discovering Unknown Tensor Network Structure Search Algorithms via Large Language Models (LLMs) ICML 2024
D-CoRP: Differentiable Connectivity Refinement for Functional Brain Networks MICCAI 2024
Cross-modal Diffusion Modelling for Super-resolved Spatial Transcriptomics MICCAI 2024
STAR: Spatio-Temporal State Compression for Multi-Agent Tasks with Rich Observations IJCAI 2024
Spatiotemporal Graph Neural Network Modelling Perfusion MRI MICCAI 2024
Phy-Diff: Physics-guided Hourglass Diffusion Model for Diffusion MRI Synthesis MICCAI 2024
Knowledge-driven Subspace Fusion and Gradient Coordination for Multi-modal Learning MICCAI 2024
Genomics-guided Representation Learning for Pathologic Pan-cancer Tumor Microenvironment Subtype Prediction MICCAI 2024
QT-ViT: Improving Linear Attention in ViT with Quadratic Taylor Expansion NIPS 2024
ScaleKD: Strong Vision Transformers Could Be Excellent Teachers NIPS 2024
SVDinsTN: A Tensor Network Paradigm for Efficient Structure Search from Regularized Modeling Perspective CVPR 2024
Generative Action Description Prompts for Skeleton-based Action Recognition ICCV 2023
RiskQ: Risk-sensitive Multi-Agent Reinforcement Learning Value Factorization NIPS 2023
Augmentation-Free Dense Contrastive Knowledge Distillation for Efficient Semantic Segmentation NIPS 2023
Adaptive Contextual Biasing for Transducer Based Streaming Speech Recognition INTERSPEECH 2023
Representation Disentanglement in Generative Models With Contrastive Learning WACV 2023
Multi-Level Contrastive Learning for Self-Supervised Vision Transformers WACV 2023
FDViT: Improve the Hierarchical Architecture of Vision Transformer ICCV 2023
Towards Understanding the Generalization of Deepfake Detectors from a Game-Theoretical View ICCV 2023
Learning Neural Duplex Radiance Fields for Real-Time View Synthesis CVPR 2023
Spatially Covariant Lesion Segmentation IJCAI 2023
Alternating Local Enumeration (TnALE): Solving Tensor Network Structure Search with Fewer Evaluations ICML 2023
NORM: Knowledge Distillation via N-to-One Representation Matching ICLR 2023
Transformed Low-Rank Parameterization Can Help Robust Generalization for Tensor Neural Networks NIPS 2023
Keep Various Trajectories: Promoting Exploration of Ensemble Policies in Continuous Control NIPS 2023
Differentiable Meta Multigraph Search with Partial Message Propagation on Heterogeneous Information Networks AAAI 2023
RFLA: A Stealthy Reflected Light Adversarial Attack in the Physical World ICCV 2023
Learning from the Dictionary: Heterogeneous Knowledge Guided Fine-tuning for Chinese Spell Checking EMNLP 2022
Interpretable Generative Adversarial Networks AAAI 2022
Deep Incomplete Multi-View Clustering via Mining Cluster Complementarity AAAI 2022
Seeking Patterns, Not just Memorizing Procedures: Contrastive Learning for Solving Math Word Problems ACL 2022
The Past Mistake is the Future Wisdom: Error-driven Contrastive Probability Optimization for Chinese Spell Checking ACL 2022
Type-Driven Multi-Turn Corrections for Grammatical Error Correction ACL 2022
Data Augmentation for Few-Shot Knowledge Graph Completion from Hierarchical Perspective COLING 2022
MCS: An In-battle Commentary System for MOBA Games COLING 2022
AiM: Taking Answers in Mind to Correct Chinese Cloze Tests in Educational Applications COLING 2022
Ego4D: Around the World in 3,000 Hours of Egocentric Video CVPR 2022
Spatiotemporal Self-Attention Modeling with Temporal Patch Shift for Action Recognition ECCV 2022
Egocentric Activity Recognition and Localization on a 3D Map ECCV 2022
Omni-Dimensional Dynamic Convolution ICLR 2022
Permutation Search of Tensor Network Structures via Local Sampling ICML 2022
Improving BERT with Syntax-aware Local Attention ACL 2021
Read, Listen, and See: Leveraging Multimodal Information Helps Chinese Spell Checking ACL 2021
Adversarial Attack on Deep Cross-Modal Hamming Retrieval ICCV 2021
Diversity and Consistency: Exploring Visual Question-Answer Pair Generation EMNLP 2021
On the Memory Mechanism of Tensor-Power Recurrent Models AISTATS 2021
Improving BERT with Syntax-aware Local Attention IJCNLP 2021
Read, Listen, and See: Leveraging Multimodal Information Helps Chinese Spell Checking IJCNLP 2021
How Far Does BERT Look At: Distance-based Clustering and Analysis of BERT’s Attention COLING 2020
Evolutionary Topology Search for Tensor Network Decomposition ICML 2020
Visual Encoding and Decoding of the Human Brain Based on Shared Features IJCAI 2020
TPFN: Applying Outer Product along Time to Multimodal Sentiment Analysis Fusion on Incomplete Data ECCV 2020
Topology-Change-Aware Volumetric Fusion for Dynamic Scene Reconstruction ECCV 2020
Single Image Reflection Removal Through Cascaded Refinement CVPR 2020
Beyond Unfolding: Exact Recovery of Latent Convex Tensor Decomposition Under Reshuffling AAAI 2020
Robust Tensor Decomposition via Orientation Invariant Tubal Nuclear Norms AAAI 2020
Gated Convolutional Networks with Hybrid Connectivity for Image Classification AAAI 2020
Coupled CycleGAN: Unsupervised Hashing Network for Cross-Modal Retrieval AAAI 2019
Image Inpainting With Learnable Bidirectional Attention Maps ICCV 2019
Graph Convolutional Network Hashing for Cross-Modal Retrieval IJCAI 2019
Cross-Modal Learning with Adversarial Samples NIPS 2019
Guaranteed Matrix Completion Under Multiple Linear Transformations CVPR 2019
Collaborative Spatiotemporal Feature Learning for Video Action Recognition CVPR 2019
Non-Local Meets Global: An Integrated Paradigm for Hyperspectral Denoising CVPR 2019
Adversarial Defense Through Network Profiling Based Path Extraction CVPR 2019
Best Practices for Learning Domain-Specific Cross-Lingual Embeddings ACL 2019
Tensor Ring Decomposition with Rank Minimization on Latent Space: An Efficient Approach for Tensor Completion AAAI 2019
Semantic Adversarial Network with Multi-Scale Pyramid Attention for Video Classification AAAI 2019
Exploring Spatio-Temporal Representations by Integrating Attention-based Bidirectional-LSTM-RNNs and FCNs for Speech Emotion Recognition INTERSPEECH 2018
Data-driven Onboard Scheduling for an Autonomous Observation Satellite IJCAI 2018
Deep Joint Semantic-Embedding Hashing IJCAI 2018
Generative Adversarial Positive-Unlabelled Learning IJCAI 2018
Self-Supervised Adversarial Hashing Networks for Cross-Modal Retrieval CVPR 2018
ArticulatedFusion: Real-time Reconstruction of Motion, Geometry and Segmentation Using a Single Depth Camera ECCV 2018
Co-occurrence Feature Learning from Skeleton Data for Action Recognition and Detection with Hierarchical Aggregation IJCAI 2018
Leveraging Weak Semantic Relevance for Complex Video Event Classification ICCV 2017
A Self-Paced Multiple-Instance Learning Framework for Co-Saliency Detection ICCV 2015
Co-Saliency Detection via Looking Deep and Wide CVPR 2015
Automatically Generating Questions from Queries for Community-based Question Answering IJCNLP 2011