Jian Li

Disco-RAG: Discourse-Aware Retrieval-Augmented Generation ACL 2026 FOREVER: Forgetting Curve-Inspired Memory Replay for Language Model Continual Learning ACL 2026 Kronos: A Foundation Model for the Language of Financial Markets AAAI 2026 LLM-Oriented Token-Adaptive Knowledge Distillation AAAI 2026 Navigating the Alpha Jungle: An LLM-Powered MCTS Framework for Formulaic Alpha Factor Mining AAAI 2026 Stealing Split Learning Bottom Models by Recovering Embedding Geometry CVPR 2026 AIMMerging: Adaptive Iterative Model Merging Using Training Trajectories for Language Model Continual Learning EMNLP 2025 Ambiguity Awareness Optimization: Towards Semantic Disambiguation for Direct Preference Optimization EMNLP 2025 DOPL: Direct Online Preference Learning for Restless Bandits with Preference Feedback ICLR 2025 Decentralized Federated Learning with Model Caching on Mobile Agents AAAI 2025 FactorGCL: A Hypergraph-Based Factor Model with Temporal Residual Contrastive Learning for Stock Returns Prediction AAAI 2025 From Zero to Detail: Deconstructing Ultra-High-Definition Image Restoration from Progressive Spectral Perspective CVPR 2025 MMAD: A Comprehensive Benchmark for Multimodal Large Language Models in Industrial Anomaly Detection ICLR 2025 On the Linear Speedup of Personalized Federated Reinforcement Learning with Shared Representations ICLR 2025 Provably Efficient Exploration in Inverse Constrained Reinforcement Learning ICML 2025 Towards Universal Dataset Distillation via Task-Driven Diffusion CVPR 2025 Understanding Constraint Inference in Safety-Critical Inverse Reinforcement Learning ICLR 2025 Unveiling the Ignorance of MLLMs: Seeing Clearly, Answering Incorrectly CVPR 2025 pFedGPT: Hierarchically Optimizing LoRA Aggregation Weights for Personalized Federated GPT Models EMNLP 2025 Backdoor Federated Learning by Poisoning Backdoor-Critical Layers ICLR 2024 Cheaper and Faster: Distributed Deep Reinforcement Learning with Serverless Computing AAAI 2024 Convolutional Spectral Kernel Learning with Generalization Guarantees (Abstract Reprint) AAAI 2024 DePRL: Achieving Linear Convergence Speedup in Personalized Decentralized Learning with Shared Representations AAAI 2024 EmoPrompt-ECPE: Emotion Knowledge-aware Prompt-tuning for Emotion-Cause Pair Extraction COLING 2024 FedNS: A Fast Sketching Newton-Type Algorithm for Federated Learning AAAI 2024 Fetch and Forge: Efficient Dataset Condensation for Object Detection NeurIPS 2024 High-Dimensional Analysis for Generalized Nonlinear Regression: From Asymptotics to Algorithm AAAI 2024 IMM: An Imitative Reinforcement Learning Approach with Predictive Representation Learning for Automatic Market Making IJCAI 2024 MacMic: Executing Iceberg Orders via Hierarchical Reinforcement Learning IJCAI 2024 Online Restless Multi-Armed Bandits with Long-Term Fairness Constraints AAAI 2024 Provably Efficient Reinforcement Learning for Adversarial Restless Multi-Armed Bandits with Unknown Transitions and Bandit Feedback ICML 2024 Self-supervised Preference Optimization: Enhance Your Language Model with Preference Degree Awareness EMNLP 2024 Trade When Opportunity Comes: Price Movement Forecasting via Locality-Aware Attention and Iterative Refinement Labeling IJCAI 2024 AEC-GAN: Adversarial Error Correction GANs for Auto-Regressive Long Time-Series Generation AAAI 2023 DeFL: Defending against Model Poisoning Attacks in Federated Learning via Critical Learning Periods Awareness AAAI 2023 Decentralized Stochastic Multi-Player Multi-Armed Walking Bandits AAAI 2023 FCC: Feature Clusters Compression for Long-Tailed Visual Recognition CVPR 2023 Finite-Time Analysis of Whittle Index based Q-Learning for Restless Multi-Armed Bandits with Neural Network Function Approximation NeurIPS 2023 ImGCL: Revisiting Graph Contrastive Learning on Imbalanced Node Classification AAAI 2023 Learning From Noisy Labels With Decoupled Meta Label Purifier CVPR 2023 Learning With Noisy Labels via Self-Supervised Adversarial Noisy Masking CVPR 2023 Optimal Convergence Rates for Agnostic Nyström Kernel Learning ICML 2023 Optimal Convergence Rates for Distributed Nystroem Approximation JMLR 2023 Rethinking Mobile Block for Efficient Attention-based Models ICCV 2023 Towards Generalizable Reinforcement Learning for Trade Execution IJCAI 2023 Towards Sharp Analysis for Distributed Learning with Random Features IJCAI 2023 FactorVAE: A Probabilistic Dynamic Factor Model Based on Variational Autoencoder for Predicting Cross-Sectional Stock Returns AAAI 2022 Learning Infinite-Horizon Average-Reward Restless Multi-Action Bandits via Index Awareness NeurIPS 2022 Reinforcement Learning Augmented Asymptotically Optimal Index Policy for Finite-Horizon Restless Bandits AAAI 2022 Ridgeless Regression with Random Features IJCAI 2022 SCSNet: An Efficient Paradigm for Learning Simultaneously Image Colorization and Super-resolution AAAI 2022 Seizing Critical Learning Periods in Federated Learning AAAI 2022 Simple and Optimal Stochastic Gradient Methods for Nonsmooth Nonconvex Optimization JMLR 2022 Analogous to Evolutionary Algorithm: Designing a Unified Sequence Model NeurIPS 2021 Exploration by Maximizing Renyi Entropy for Reward-Free RL Framework AAAI 2021 A Fast Anderson-Chebyshev Acceleration for Nonlinear Optimization AISTATS 2020 Automated Spectral Kernel Learning AAAI 2020 Fast Learning of Temporal Action Proposal via Dense Boundary Generator AAAI 2020 Online Algorithms for Multi-shop Ski Rental with Machine Learned Advice NeurIPS 2020 Policy Search by Target Distribution Learning for Continuous Control AAAI 2020 Approximate Manifold Regularization: Scalable Algorithm and Generalization Analysis IJCAI 2019 DSFD: Dual Shot Face Detector CVPR 2019 Gradient Boosting with Piece-Wise Linear Regression Trees IJCAI 2019 Multi-Class Learning using Unlabeled Samples: Theory and Algorithm IJCAI 2019 A Simple Proximal Stochastic Gradient Method for Nonsmooth Nonconvex Optimization NeurIPS 2018 BRITS: Bidirectional Recurrent Imputation for Time Series NeurIPS 2018 Multi-Class Learning: From Theory to Algorithm NeurIPS 2018 Efficient Kernel Selection via Spectral Analysis IJCAI 2017 On Top-k Selection in Multi-Armed Bandits and Hidden Bipartite Graphs NeurIPS 2015 Optimal PAC Multiple Arm Identification with Applications to Crowdsourcing ICML 2014 Parallelizing Support Vector Machines on Distributed Computers NeurIPS 2007