Jian Li

Navigating the Alpha Jungle: An LLM-Powered MCTS Framework for Formulaic Alpha Factor Mining AAAI 2026 LLM-Oriented Token-Adaptive Knowledge Distillation AAAI 2026 Disco-RAG: Discourse-Aware Retrieval-Augmented Generation ACL 2026 HSGraphAgent: Knowledge-Graph-Guided Large Language Models for Harmonized System Code Classification ACL 2026 FOREVER: Forgetting Curve-Inspired Memory Replay for Language Model Continual Learning ACL 2026 Deep Incomplete Multi-View Clustering via Hierarchical Imputation and Alignment AAAI 2026 Predicting Video Slot Attention Queries from Random Slot-Feature Pairs AAAI 2026 Gentle Manipulation Policy Learning via Demonstrations from VLM Planned Atomic Skills AAAI 2026 Kronos: A Foundation Model for the Language of Financial Markets AAAI 2026 L2V-CoT: Cross-Modal Transfer of Chain-of-Thought Reasoning via Latent Intervention AAAI 2026 UniMo: Unified Motion Generation and Understanding with Chain of Thought AAAI 2026 RadarMP: Motion Perception for 4D mmWave Radar in Autonomous Driving AAAI 2026 FactorGCL: A Hypergraph-Based Factor Model with Temporal Residual Contrastive Learning for Stock Returns Prediction AAAI 2025 MBA-RAG: a Bandit Approach for Adaptive Retrieval-Augmented Generation through Question Complexity COLING 2025 Unveiling the Ignorance of MLLMs: Seeing Clearly, Answering Incorrectly CVPR 2025 From Zero to Detail: Deconstructing Ultra-High-Definition Image Restoration from Progressive Spectral Perspective CVPR 2025 Towards Universal Dataset Distillation via Task-Driven Diffusion CVPR 2025 Provably Efficient Exploration in Inverse Constrained Reinforcement Learning ICML 2025 MMAD: A Comprehensive Benchmark for Multimodal Large Language Models in Industrial Anomaly Detection ICLR 2025 Rethinking Diffusion Posterior Sampling: From Conditional Score Estimator to Maximizing a Posterior ICLR 2025 Feature Averaging: An Implicit Bias of Gradient Descent Leading to Non-Robustness in Neural Networks ICLR 2025 DOPL: Direct Online Preference Learning for Restless Bandits with Preference Feedback ICLR 2025 Understanding Constraint Inference in Safety-Critical Inverse Reinforcement Learning ICLR 2025 On the Linear Speedup of Personalized Federated Reinforcement Learning with Shared Representations ICLR 2025 Multi-task Visual Grounding with Coarse-to-Fine Consistency Constraints AAAI 2025 Block-Based Multi-Scale Image Rescaling AAAI 2025 Adapting to Non-Stationary Environments: Multi-Armed Bandit Enhanced Retrieval-Augmented Generation on Knowledge Graphs AAAI 2025 Decentralized Federated Learning with Model Caching on Mobile Agents AAAI 2025 CogDual: Enhancing Dual Cognition of LLMs via Reinforcement Learning with Implicit Rule-Based Rewards EMNLP 2025 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 CodeTool: Enhancing Programmatic Tool Invocation of LLMs via Process Supervision ACL 2025 CogniBench: A Legal-inspired Framework and Dataset for Assessing Cognitive Faithfulness of Large Language Models ACL 2025 pFedGPT: Hierarchically Optimizing LoRA Aggregation Weights for Personalized Federated GPT Models EMNLP 2025 Towards Reliable Advertising Image Generation Using Human Feedback ECCV 2024 Chain-of-Note: Enhancing Robustness in Retrieval-Augmented Language Models EMNLP 2024 High-Dimensional Analysis for Generalized Nonlinear Regression: From Asymptotics to Algorithm AAAI 2024 FedNS: A Fast Sketching Newton-Type Algorithm for Federated Learning AAAI 2024 LoRA-GA: Low-Rank Adaptation with Gradient Approximation NIPS 2024 Fetch and Forge: Efficient Dataset Condensation for Object Detection NIPS 2024 MacMic: Executing Iceberg Orders via Hierarchical Reinforcement Learning IJCAI 2024 IMM: An Imitative Reinforcement Learning Approach with Predictive Representation Learning for Automatic Market Making 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 DePRL: Achieving Linear Convergence Speedup in Personalized Decentralized Learning with Shared Representations AAAI 2024 Cheaper and Faster: Distributed Deep Reinforcement Learning with Serverless Computing AAAI 2024 Convolutional Spectral Kernel Learning with Generalization Guarantees (Abstract Reprint) AAAI 2024 EmoPrompt-ECPE: Emotion Knowledge-aware Prompt-tuning for Emotion-Cause Pair Extraction COLING 2024 Self-supervised Preference Optimization: Enhance Your Language Model with Preference Degree Awareness EMNLP 2024 Adversarial Preference Optimization: Enhancing Your Alignment via RM-LLM Game ACL 2024 Backdoor Federated Learning by Poisoning Backdoor-Critical Layers ICLR 2024 Rethinking the Uniformity Metric in Self-Supervised Learning ICLR 2024 Trade When Opportunity Comes: Price Movement Forecasting via Locality-Aware Attention and Iterative Refinement Labeling IJCAI 2024 Simul-Whisper: Attention-Guided Streaming Whisper with Truncation Detection INTERSPEECH 2024 Bilateral Propagation Network for Depth Completion CVPR 2024 Optimal Convergence Rates for Distributed Nystroem Approximation JMLR 2023 Finite-Time Analysis of Whittle Index based Q-Learning for Restless Multi-Armed Bandits with Neural Network Function Approximation NIPS 2023 GLIME: General, Stable and Local LIME Explanation NIPS 2023 AEC-GAN: Adversarial Error Correction GANs for Auto-Regressive Long Time-Series Generation AAAI 2023 Symphony in the Latent Space: Provably Integrating High-Dimensional Techniques with Non-linear Machine Learning Models AAAI 2023 Decentralized Stochastic Multi-Player Multi-Armed Walking Bandits AAAI 2023 DeFL: Defending against Model Poisoning Attacks in Federated Learning via Critical Learning Periods Awareness AAAI 2023 ImGCL: Revisiting Graph Contrastive Learning on Imbalanced Node Classification AAAI 2023 Efficient Algorithms for Sparse Moment Problems without Separation COLT 2023 Learning With Noisy Labels via Self-Supervised Adversarial Noisy Masking CVPR 2023 Learning From Noisy Labels With Decoupled Meta Label Purifier CVPR 2023 FCC: Feature Clusters Compression for Long-Tailed Visual Recognition CVPR 2023 Rethinking Mobile Block for Efficient Attention-based Models ICCV 2023 Not All Tasks Are Born Equal: Understanding Zero-Shot Generalization ICLR 2023 Online Restless Bandits with Unobserved States ICML 2023 Optimal Convergence Rates for Agnostic Nyström Kernel Learning ICML 2023 Applied Online Algorithms with Heterogeneous Predictors ICML 2023 Towards Sharp Analysis for Distributed Learning with Random Features IJCAI 2023 Unbiased Gradient Boosting Decision Tree with Unbiased Feature Importance IJCAI 2023 Towards Generalizable Reinforcement Learning for Trade Execution IJCAI 2023 2-bit Conformer quantization for automatic speech recognition INTERSPEECH 2023 Low-complexity Broadband Beampattern Synthesis using Array Response Control INTERSPEECH 2023 Joint cortical registration of geometry and function using semi-supervised learning MIDL 2023 μMote: Enabling Passive Chirp De-spreading and μW-level Long-Range Downlink for Backscatter Devices NSDI 2023 Analyzing Sharpness along GD Trajectory: Progressive Sharpening and Edge of Stability NIPS 2022 MINER: Multi-Interest Matching Network for News Recommendation ACL 2022 Learning to Break the Loop: Analyzing and Mitigating Repetitions for Neural Text Generation NIPS 2022 Convolution of Convolution: Let Kernels Spatially Collaborate CVPR 2022 Simple and Optimal Stochastic Gradient Methods for Nonsmooth Nonconvex Optimization JMLR 2022 Generalization Bounds for Gradient Methods via Discrete and Continuous Prior NIPS 2022 Learning Infinite-Horizon Average-Reward Restless Multi-Action Bandits via Index Awareness NIPS 2022 Ridgeless Regression with Random Features IJCAI 2022 Seizing Critical Learning Periods in Federated Learning AAAI 2022 Reinforcement Learning Augmented Asymptotically Optimal Index Policy for Finite-Horizon Restless Bandits AAAI 2022 FactorVAE: A Probabilistic Dynamic Factor Model Based on Variational Autoencoder for Predicting Cross-Sectional Stock Returns AAAI 2022 SCSNet: An Efficient Paradigm for Learning Simultaneously Image Colorization and Super-resolution AAAI 2022 DIGAT: Modeling News Recommendation with Dual-Graph Interaction EMNLP 2022 Controlled Text Generation Using Dictionary Prior in Variational Autoencoders ACL 2022 Meta-GF: Training Dynamic-Depth Neural Networks Harmoniously ECCV 2022 Analyzing and Mitigating Interference in Neural Architecture Search ICML 2022 MTRec: Multi-Task Learning over BERT for News Recommendation ACL 2022 Improving the Morphology and Control Policy of Self-reconfiguring Modular Robots in Dynamic Environment (Student Abstract) AAAI 2021 Exploration by Maximizing Renyi Entropy for Reward-Free RL Framework AAAI 2021 Analogous to Evolutionary Algorithm: Designing a Unified Sequence Model NIPS 2021 Simple combinatorial algorithms for combinatorial bandits: corruptions and approximations UAI 2021 Natural Language Processing Meets Quantum Physics: A Survey and Categorization EMNLP 2021 Fast Learning of Temporal Action Proposal via Dense Boundary Generator AAAI 2020 On Generalization Error Bounds of Noisy Gradient Methods for Non-Convex Learning ICLR 2020 Gradient Descent Maximizes the Margin of Homogeneous Neural Networks ICLR 2020 Neuron Interaction Based Representation Composition for Neural Machine Translation AAAI 2020 Kalman Filtering Attention for User Behavior Modeling in CTR Prediction NIPS 2020 Online Algorithms for Multi-shop Ski Rental with Machine Learned Advice NIPS 2020 Policy Search by Target Distribution Learning for Continuous Control AAAI 2020 Automated Spectral Kernel Learning AAAI 2020 Improved Algorithms for Convex-Concave Minimax Optimization NIPS 2020 Automatic Verification of Liveness Properties in the Situation Calculus AAAI 2020 A Fast Anderson-Chebyshev Acceleration for Nonlinear Optimization AISTATS 2020 Approximate Manifold Regularization: Scalable Algorithm and Generalization Analysis IJCAI 2019 Context-Aware Self-Attention Networks AAAI 2019 Multi-Class Learning using Unlabeled Samples: Theory and Algorithm IJCAI 2019 Relation Extraction with Temporal Reasoning Based on Memory Augmented Distant Supervision NAACL 2019 Information Aggregation for Multi-Head Attention with Routing-by-Agreement NAACL 2019 DSFD: Dual Shot Face Detector CVPR 2019 Tracking by Animation: Unsupervised Learning of Multi-Object Attentive Trackers CVPR 2019 Gradient Boosting with Piece-Wise Linear Regression Trees IJCAI 2019 AddGraph: Anomaly Detection in Dynamic Graph Using Attention-based Temporal GCN IJCAI 2019 Multi-Head Attention with Disagreement Regularization EMNLP 2018 A Simple Proximal Stochastic Gradient Method for Nonsmooth Nonconvex Optimization NIPS 2018 Multi-Class Learning: From Theory to Algorithm NIPS 2018 BRITS: Bidirectional Recurrent Imputation for Time Series NIPS 2018 Code Completion with Neural Attention and Pointer Networks IJCAI 2018 Nearly Instance Optimal Sample Complexity Bounds for Top-k Arm Selection AISTATS 2017 Efficient Kernel Selection via Spectral Analysis IJCAI 2017 Learning Gradient Descent: Better Generalization and Longer Horizons ICML 2017 Single-Pass PCA of Large High-Dimensional Data IJCAI 2017 Towards Instance Optimal Bounds for Best Arm Identification COLT 2017 Nearly Optimal Sampling Algorithms for Combinatorial Pure Exploration COLT 2017 Combinatorial Multi-Armed Bandit with General Reward Functions NIPS 2016 Pure Exploration of Multi-armed Bandit Under Matroid Constraints COLT 2016 Open Problem: Best Arm Identification: Almost Instance-Wise Optimality and the Gap Entropy Conjecture COLT 2016 K-Means Clustering with Distributed Dimensions ICML 2016 Stochastic Online Greedy Learning with Semi-bandit Feedbacks NIPS 2015 On Top-k Selection in Multi-Armed Bandits and Hidden Bipartite Graphs NIPS 2015 Optimal PAC Multiple Arm Identification with Applications to Crowdsourcing ICML 2014 Parallelizing Support Vector Machines on Distributed Computers NIPS 2007