Ang Li

Making Large Language Models Efficient Dense Retrievers ACL 2026 CoordAR: One-Reference 6D Pose Estimation of Novel Objects via Autoregressive Coordinate Map Generation AAAI 2026 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 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 Bag of Tricks for Sparse Mixture-of-Experts: A Benchmark Across Reasoning, Efficiency, and Safety EMNLP 2025 CoEvo: Coevolution of LLM and Retrieval Model for Domain-Specific Information Retrieval EMNLP 2025 Legal Judgment Prediction based on Knowledge-enhanced Multi-Task and Multi-Label Text Classification NAACL 2025 Speculate, then Collaborate: Fusing Knowledge of Language Models during Decoding ICML 2025 Reinforcement Active Client Selection for Federated Heterogeneous Graph Learning AAAI 2025 Federated Class-Heterogeneous Report Labeling with Surgical Aggregation MIDL 2025 Embracing Imperfection: Simulating Students with Diverse Cognitive Levels Using LLM-based Agents ACL 2025 An Expressive and Self-Adaptive Dynamical System for Efficient Function Learning ICML 2025 UniLR: Unleashing the Power of LLMs on Multiple Legal Tasks with a Unified Legal Retriever ACL 2025 PersonalLLM: Tailoring LLMs to Individual Preferences ICLR 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 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 FLoRA: Federated Fine-Tuning Large Language Models with Heterogeneous Low-Rank Adaptations NIPS 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 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 MAPSeg: Unified Unsupervised Domain Adaptation for Heterogeneous Medical Image Segmentation Based on 3D Masked Autoencoding and Pseudo-Labeling CVPR 2024 SpaRP: Fast 3D Object Reconstruction and Pose Estimation from Sparse Views ECCV 2024 MobileVLM: A Vision-Language Model for Better Intra- and Inter-UI Understanding EMNLP 2024 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 Enhancing One-Shot Federated Learning Through Data and Ensemble Co-Boosting ICLR 2024 PID: Prompt-Independent Data Protection Against Latent Diffusion Models ICML 2024 TERD: A Unified Framework for Safeguarding Diffusion Models Against Backdoors ICML 2024 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 FedNAR: Federated Optimization with Normalized Annealing Regularization NIPS 2023 Probabilities of Causation: Role of Observational Data AISTATS 2023 Open-VCLIP: Transforming CLIP to an Open-vocabulary Video Model via Interpolated Weight Optimization ICML 2023 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 Ising-Traffic: Using Ising Machine Learning to Predict Traffic Congestion under Uncertainty AAAI 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 Information-theoretic Online Memory Selection for Continual Learning ICLR 2022 Bounds on Causal Effects and Application to High Dimensional Data AAAI 2022 Semi-Supervised Vision Transformers ECCV 2022 Unsupervised Domain Adaptation for Monocular 3D Object Detection via Self-Training ECCV 2022 AEVA: Black-box Backdoor Detection Using Adversarial Extreme Value Analysis ICLR 2022 SphereFed: Hyperspherical Federated Learning ECCV 2022 Causes of Effects: Learning Individual Responses from Population Data IJCAI 2022 Iterative Geometry-Aware Cross Guidance Network for Stereo Image Inpainting IJCAI 2022 Unit Selection with Causal Diagram AAAI 2022 Neural Mean Discrepancy for Efficient Out-of-Distribution Detection CVPR 2022 SimIPU: Simple 2D Image and 3D Point Cloud Unsupervised Pre-training for Spatial-Aware Visual Representations AAAI 2022 FL-WBC: Enhancing Robustness against Model Poisoning Attacks in Federated Learning from a Client Perspective NIPS 2021 Noise Doesn't Lie: Towards Universal Detection of Deep Inpainting IJCAI 2021 Soteria: Provable Defense Against Privacy Leakage in Federated Learning From Representation Perspective CVPR 2021 Prediction, Consistency, Curvature: Representation Learning for Locally-Linear Control ICLR 2020 Improved Knowledge Distillation via Teacher Assistant AAAI 2020 A Multi-Scale Guided Cascade Hourglass Network for Depth Completion WACV 2020 PhysGAN: Generating Physical-World-Resilient Adversarial Examples for Autonomous Driving CVPR 2020 Hybrid Models for Open Set Recognition ECCV 2020 Short-Term and Long-Term Context Aggregation Network for Video Inpainting ECCV 2020 Orthogonal Gradient Descent for Continual Learning AISTATS 2020 Learning to Incentivize Other Learning Agents NIPS 2020 Generative Image Inpainting with Submanifold Alignment 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 Cross-View Policy Learning for Street Navigation ICCV 2019 Unit Selection Based on Counterfactual Logic IJCAI 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 Generating Holistic 3D Scene Abstractions for Text-Based Image Retrieval CVPR 2017 Visual Relationship Detection With Internal and External Linguistic Knowledge Distillation ICCV 2017 Learning Visual N-Grams From Web Data 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