← Authors

Ang Li

86 papers · 2013–2026 · 15 conferences · across top CS/AI conferences

Achievements

🌍 Conference Polyglot (15) 🐣 Hot Topic Early Bird 🐝 Cross-Pollinator (10) 🌈 Renaissance Researcher (6) πŸŒ‰ Interdisciplinary Bridge πŸƒ Academic Marathon (12) πŸ—ΊοΈ Taxonomy Completionist (17) 🧭 Keyword Pioneer πŸ† Grand Slam πŸ‘‘ Triple Crown πŸ”¬ Deep Specialist (10) 🧬 Topic Evolution πŸ† Keyword Champion (2) πŸš€ Conference Pioneer ⚑ Prolific Year (20) πŸ—ƒοΈ Keyword Collector (295) πŸ’Ž Century Club (83) πŸ“ˆ Trend Setter πŸ”₯ Unstoppable (11)

Conferences

AAAI (12) ICLR (12) CVPR (8) NIPS (8) ECCV (7) ICCV (7) ICML (6) IJCAI (6) ACL (4) EMNLP (4) COLING (3) NAACL (3) WACV (3) AISTATS (2) OSDI (1)

Top co-authors

Kun Kuang (8) Larry S. Davis (7) Yiquan Wu (7) Judea Pearl (7) Fei Wu (7) Vlad I. Morariu (6) Ruichi Yu (6) Ming Cai (6) Ziyao Wang (5) Yiran Chen (5)

Research topics

Applications (1) Privacy (1) Probability (1) Education (1)

Keywords

federated learning (8) large language model (8) causal inference (7) contrastive learning (5) reinforcement learning (5) neural network (5) treatment effect (4) knowledge graph (4) stance detection (4) observational datum (4) model compression (4) attention mechanism (3) transfer learning (3) neural network optimization (3) unit selection (3) multimodal learning (2) text representation (2) information retrieval (2) model architecture (2) video recognition (2)

Papers

Think Then Rewrite: Reasoning Enhanced Query Rewriting for Domain Specific Retrieval AAAI 2026
MUSE: Multimodal Uncertainty-Based Self-Driven Evolution for Robust Physiological-Signal–Based Driver Fatigue Detection AAAI 2026
CoordAR: One-Reference 6D Pose Estimation of Novel Objects via Autoregressive Coordinate Map Generation AAAI 2026
Legal Judgment Prediction based on Knowledge-enhanced Multi-Task and Multi-Label Text Classification NAACL 2025
CoEvo: Coevolution of LLM and Retrieval Model for Domain-Specific Information Retrieval EMNLP 2025
Speculate, then Collaborate: Fusing Knowledge of Language Models during Decoding ICML 2025
An Expressive and Self-Adaptive Dynamical System for Efficient Function Learning ICML 2025
Bag of Tricks for Sparse Mixture-of-Experts: A Benchmark Across Reasoning, Efficiency, and Safety EMNLP 2025
Reinforcement Active Client Selection for Federated Heterogeneous Graph Learning AAAI 2025
PersonalLLM: Tailoring LLMs to Individual Preferences ICLR 2025
DS-LLM: Leveraging Dynamical Systems to Enhance Both Training and Inference of Large Language Models ICLR 2025
Diff-PIC: Revolutionizing Particle-In-Cell Nuclear Fusion Simulation with Diffusion Models ICLR 2025
On Scaling Up 3D Gaussian Splatting Training ICLR 2025
Towards counterfactual fairness through auxiliary variables ICLR 2025
Agent S: An Open Agentic Framework that Uses Computers Like a Human ICLR 2025
UniLR: Unleashing the Power of LLMs on Multiple Legal Tasks with a Unified Legal Retriever ACL 2025
Embracing Imperfection: Simulating Students with Diverse Cognitive Levels Using LLM-based Agents ACL 2025
MLLM-LLaVA-FL: Multimodal Large Language Model Assisted Federated Learning WACV 2025
Mitigating Biases of Large Language Models in Stance Detection with Counterfactual Augmented Calibration NAACL 2025
Extending Power of Nature from Binary to Real-Valued Graph Learning in Real World ICLR 2024
FedHyper: A Universal and Robust Learning Rate Scheduler for Federated Learning with Hypergradient Descent ICLR 2024
SpaRP: Fast 3D Object Reconstruction and Pose Estimation from Sparse Views ECCV 2024
FLoRA: Federated Fine-Tuning Large Language Models with Heterogeneous Low-Rank Adaptations NIPS 2024
MobileVLM: A Vision-Language Model for Better Intra- and Inter-UI Understanding EMNLP 2024
QGym: Scalable Simulation and Benchmarking of Queuing Network Controllers NIPS 2024
SHED: Shapley-Based Automated Dataset Refinement for Instruction Fine-Tuning NIPS 2024
Probabilities of Causation with Nonbinary Treatment and Effect AAAI 2024
Unit Selection with Nonbinary Treatment and Effect AAAI 2024
Mobile-Bench: An Evaluation Benchmark for LLM-based Mobile Agents ACL 2024
Multi-modal Stance Detection: New Datasets and Model ACL 2024
Unleashing the Power of LLMs in Court View Generation by Stimulating Internal Knowledge and Incorporating External Knowledge NAACL 2024
$\texttt{Model-GLUE}$: Democratized LLM Scaling for A Large Model Zoo in the Wild NIPS 2024
A Challenge Dataset and Effective Models for Conversational Stance Detection COLING 2024
Enhancing Court View Generation with Knowledge Injection and Guidance COLING 2024
From Graph to Word Bag: Introducing Domain Knowledge to Confusing Charge Prediction COLING 2024
TERD: A Unified Framework for Safeguarding Diffusion Models Against Backdoors ICML 2024
PID: Prompt-Independent Data Protection Against Latent Diffusion Models ICML 2024
MAPSeg: Unified Unsupervised Domain Adaptation for Heterogeneous Medical Image Segmentation Based on 3D Masked Autoencoding and Pseudo-Labeling CVPR 2024
Enhancing One-Shot Federated Learning Through Data and Ensemble Co-Boosting ICLR 2024
Fed-CBS: A Heterogeneity-Aware Client Sampling Mechanism for Federated Learning via Class-Imbalance Reduction ICML 2023
Adversarial Examples Are Not Real Features NIPS 2023
FedNAR: Federated Optimization with Normalized Annealing Regularization NIPS 2023
Ising-Traffic: Using Ising Machine Learning to Predict Traffic Congestion under Uncertainty AAAI 2023
Probabilities of Causation: Role of Observational Data AISTATS 2023
Stance Detection on Social Media with Background Knowledge EMNLP 2023
AutoReP: Automatic ReLU Replacement for Fast Private Network Inference ICCV 2023
PolicyCleanse: Backdoor Detection and Mitigation for Competitive Reinforcement Learning ICCV 2023
Open-VCLIP: Transforming CLIP to an Open-vocabulary Video Model via Interpolated Weight Optimization ICML 2023
MGG: Accelerating Graph Neural Networks with Fine-Grained Intra-Kernel Communication-Computation Pipelining on Multi-GPU Platforms OSDI 2023
Interpreting Disparate Privacy-Utility Tradeoff in Adversarial Learning via Attribute Correlation WACV 2023
SimIPU: Simple 2D Image and 3D Point Cloud Unsupervised Pre-training for Spatial-Aware Visual Representations AAAI 2022
Iterative Geometry-Aware Cross Guidance Network for Stereo Image Inpainting IJCAI 2022
AEVA: Black-box Backdoor Detection Using Adversarial Extreme Value Analysis ICLR 2022
Information-theoretic Online Memory Selection for Continual Learning ICLR 2022
Semi-Supervised Vision Transformers ECCV 2022
SphereFed: Hyperspherical Federated Learning ECCV 2022
Unsupervised Domain Adaptation for Monocular 3D Object Detection via Self-Training ECCV 2022
Neural Mean Discrepancy for Efficient Out-of-Distribution Detection CVPR 2022
Unit Selection with Causal Diagram AAAI 2022
Bounds on Causal Effects and Application to High Dimensional Data AAAI 2022
Causes of Effects: Learning Individual Responses from Population Data IJCAI 2022
Soteria: Provable Defense Against Privacy Leakage in Federated Learning From Representation Perspective CVPR 2021
Noise Doesn't Lie: Towards Universal Detection of Deep Inpainting IJCAI 2021
FL-WBC: Enhancing Robustness against Model Poisoning Attacks in Federated Learning from a Client Perspective NIPS 2021
Prediction, Consistency, Curvature: Representation Learning for Locally-Linear Control ICLR 2020
A Multi-Scale Guided Cascade Hourglass Network for Depth Completion WACV 2020
Orthogonal Gradient Descent for Continual Learning AISTATS 2020
Short-Term and Long-Term Context Aggregation Network for Video Inpainting ECCV 2020
Hybrid Models for Open Set Recognition ECCV 2020
Learning to Incentivize Other Learning Agents NIPS 2020
PhysGAN: Generating Physical-World-Resilient Adversarial Examples for Autonomous Driving CVPR 2020
Improved Knowledge Distillation via Teacher Assistant AAAI 2020
Cross-View Policy Learning for Street Navigation ICCV 2019
Generative Image Inpainting with Submanifold Alignment IJCAI 2019
Unit Selection Based on Counterfactual Logic IJCAI 2019
SNR: Sub-Network Routing for Flexible Parameter Sharing in Multi-Task Learning AAAI 2019
Layout-Induced Video Representation for Recognizing Agent-in-Place Actions ICCV 2019
Dynamic Zoom-In Network for Fast Object Detection in Large Images CVPR 2018
C-WSL: Count-guided Weakly Supervised Localization ECCV 2018
NISP: Pruning Networks Using Neuron Importance Score Propagation CVPR 2018
Learning Visual N-Grams From Web Data ICCV 2017
Generating Holistic 3D Scene Abstractions for Text-Based Image Retrieval CVPR 2017
Visual Relationship Detection With Internal and External Linguistic Knowledge Distillation ICCV 2017
Coordinating Multiple Disparity Proposals for Stereo Computation CVPR 2016
Selective Encoding for Recognizing Unreliably Localized Faces ICCV 2015
Efficient Learning in Linearly Solvable MDP Models IJCAI 2013