← Authors

Jian Li

137 papers · 2007–2026 · 19 conferences · across top CS/AI conferences

Achievements

🧭 Keyword Pioneer 🌍 Conference Polyglot (19) πŸ—ΊοΈ Taxonomy Completionist (25) πŸƒ Academic Marathon (18) 🐝 Cross-Pollinator (14) 🌈 Renaissance Researcher (6) πŸŒ‰ Interdisciplinary Bridge 🐣 Hot Topic Early Bird 🏠 Conference Loyalist (28) 🌟 Keyword Trendsetter Combo (5) 🀝 Dynamic Duo (16) πŸ‘‘ Triple Crown πŸ† Keyword Champion πŸ† Grand Slam 🌱 Topic Pioneer πŸ”¬ Deep Specialist (19) πŸ”₯ Unstoppable (12) πŸ“ˆ Trend Setter πŸš€ Conference Pioneer ⚑ Prolific Year (5) πŸ’Ž Century Club (128) πŸ—ƒοΈ Keyword Collector (75)

Conferences

AAAI (37) NIPS (19) IJCAI (14) ICLR (11) CVPR (10) EMNLP (9) ICML (9) ACL (6) COLT (5) INTERSPEECH (3) ECCV (2) COLING (2) AISTATS (2) JMLR (2) NAACL (2) ICCV (1) MIDL (1) NSDI (1) UAI (1)

Top co-authors

Yong Liu (17) Yabiao Wang (10) GUOJUN XIONG (10) Weiping Wang (10) Chengjie Wang (9) Hao Wang (6) Jiangning Zhang (6) Ying Tai (6) Nan Du (5) Shufan Wang (5)

Keywords

multi-armed bandit (13) reinforcement learning (9) representation learning (8) regret bound (8) attention mechanism (8) neural network (7) generalization bound (7) large language model (7) sample complexity (7) federated learning (5) kernel methods (5) online learning (4) combinatorial optimization (4) semi-supervised learning (4) language model (4) convergence rate (4) knowledge distillation (3) image restoration (3) neural machine translation (3) transfer learning (3)

Papers

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
Navigating the Alpha Jungle: An LLM-Powered MCTS Framework for Formulaic Alpha Factor Mining AAAI 2026
LLM-Oriented Token-Adaptive Knowledge Distillation AAAI 2026
Kronos: A Foundation Model for the Language of Financial Markets AAAI 2026
Deep Incomplete Multi-View Clustering via Hierarchical Imputation and Alignment AAAI 2026
Gentle Manipulation Policy Learning via Demonstrations from VLM Planned Atomic Skills AAAI 2026
Predicting Video Slot Attention Queries from Random Slot-Feature Pairs AAAI 2026
On the Linear Speedup of Personalized Federated Reinforcement Learning with Shared Representations ICLR 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
pFedGPT: Hierarchically Optimizing LoRA Aggregation Weights for Personalized Federated GPT Models EMNLP 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
MBA-RAG: a Bandit Approach for Adaptive Retrieval-Augmented Generation through Question Complexity COLING 2025
CogniBench: A Legal-inspired Framework and Dataset for Assessing Cognitive Faithfulness of Large Language Models ACL 2025
CodeTool: Enhancing Programmatic Tool Invocation of LLMs via Process Supervision ACL 2025
Decentralized Federated Learning with Model Caching on Mobile Agents 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
Multi-task Visual Grounding with Coarse-to-Fine Consistency Constraints AAAI 2025
FactorGCL: A Hypergraph-Based Factor Model with Temporal Residual Contrastive Learning for Stock Returns Prediction AAAI 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
Provably Efficient Reinforcement Learning for Adversarial Restless Multi-Armed Bandits with Unknown Transitions and Bandit Feedback ICML 2024
LoRA-GA: Low-Rank Adaptation with Gradient Approximation NIPS 2024
Fetch and Forge: Efficient Dataset Condensation for Object Detection NIPS 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
Online Restless Multi-Armed Bandits with Long-Term Fairness Constraints AAAI 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
Adversarial Preference Optimization: Enhancing Your Alignment via RM-LLM Game ACL 2024
EmoPrompt-ECPE: Emotion Knowledge-aware Prompt-tuning for Emotion-Cause Pair Extraction COLING 2024
Bilateral Propagation Network for Depth Completion CVPR 2024
Towards Reliable Advertising Image Generation Using Human Feedback ECCV 2024
Chain-of-Note: Enhancing Robustness in Retrieval-Augmented Language Models EMNLP 2024
Self-supervised Preference Optimization: Enhance Your Language Model with Preference Degree Awareness EMNLP 2024
Rethinking the Uniformity Metric in Self-Supervised Learning ICLR 2024
Backdoor Federated Learning by Poisoning Backdoor-Critical Layers ICLR 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
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
ImGCL: Revisiting Graph Contrastive Learning on Imbalanced Node Classification AAAI 2023
2-bit Conformer quantization for automatic speech recognition INTERSPEECH 2023
Towards Generalizable Reinforcement Learning for Trade Execution IJCAI 2023
Unbiased Gradient Boosting Decision Tree with Unbiased Feature Importance IJCAI 2023
Towards Sharp Analysis for Distributed Learning with Random Features IJCAI 2023
Efficient Algorithms for Sparse Moment Problems without Separation COLT 2023
Decentralized Stochastic Multi-Player Multi-Armed Walking Bandits AAAI 2023
Rethinking Mobile Block for Efficient Attention-based Models ICCV 2023
Online Restless Bandits with Unobserved States ICML 2023
AEC-GAN: Adversarial Error Correction GANs for Auto-Regressive Long Time-Series Generation AAAI 2023
Not All Tasks Are Born Equal: Understanding Zero-Shot Generalization ICLR 2023
Joint cortical registration of geometry and function using semi-supervised learning MIDL 2023
Optimal Convergence Rates for Agnostic NystrΓΆm Kernel Learning ICML 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
Low-complexity Broadband Beampattern Synthesis using Array Response Control INTERSPEECH 2023
Finite-Time Analysis of Whittle Index based Q-Learning for Restless Multi-Armed Bandits with Neural Network Function Approximation NIPS 2023
Applied Online Algorithms with Heterogeneous Predictors ICML 2023
ΞΌMote: Enabling Passive Chirp De-spreading and ΞΌW-level Long-Range Downlink for Backscatter Devices NSDI 2023
DeFL: Defending against Model Poisoning Attacks in Federated Learning via Critical Learning Periods Awareness AAAI 2023
GLIME: General, Stable and Local LIME Explanation NIPS 2023
Symphony in the Latent Space: Provably Integrating High-Dimensional Techniques with Non-linear Machine Learning Models AAAI 2023
Optimal Convergence Rates for Distributed Nystroem Approximation JMLR 2023
FactorVAE: A Probabilistic Dynamic Factor Model Based on Variational Autoencoder for Predicting Cross-Sectional Stock Returns AAAI 2022
Ridgeless Regression with Random Features IJCAI 2022
Convolution of Convolution: Let Kernels Spatially Collaborate CVPR 2022
Analyzing and Mitigating Interference in Neural Architecture Search ICML 2022
Meta-GF: Training Dynamic-Depth Neural Networks Harmoniously ECCV 2022
DIGAT: Modeling News Recommendation with Dual-Graph Interaction EMNLP 2022
MTRec: Multi-Task Learning over BERT for News Recommendation ACL 2022
MINER: Multi-Interest Matching Network for News Recommendation ACL 2022
Controlled Text Generation Using Dictionary Prior in Variational Autoencoders ACL 2022
Reinforcement Learning Augmented Asymptotically Optimal Index Policy for Finite-Horizon Restless Bandits AAAI 2022
SCSNet: An Efficient Paradigm for Learning Simultaneously Image Colorization and Super-resolution AAAI 2022
Seizing Critical Learning Periods in Federated Learning AAAI 2022
Learning Infinite-Horizon Average-Reward Restless Multi-Action Bandits via Index Awareness NIPS 2022
Generalization Bounds for Gradient Methods via Discrete and Continuous Prior NIPS 2022
Analyzing Sharpness along GD Trajectory: Progressive Sharpening and Edge of Stability NIPS 2022
Learning to Break the Loop: Analyzing and Mitigating Repetitions for Neural Text Generation NIPS 2022
Simple and Optimal Stochastic Gradient Methods for Nonsmooth Nonconvex Optimization JMLR 2022
Natural Language Processing Meets Quantum Physics: A Survey and Categorization EMNLP 2021
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
On Generalization Error Bounds of Noisy Gradient Methods for Non-Convex Learning ICLR 2020
A Fast Anderson-Chebyshev Acceleration for Nonlinear Optimization AISTATS 2020
Fast Learning of Temporal Action Proposal via Dense Boundary Generator AAAI 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
Improved Algorithms for Convex-Concave Minimax Optimization NIPS 2020
Policy Search by Target Distribution Learning for Continuous Control AAAI 2020
Automated Spectral Kernel Learning AAAI 2020
Automatic Verification of Liveness Properties in the Situation Calculus AAAI 2020
Gradient Descent Maximizes the Margin of Homogeneous Neural Networks ICLR 2020
Context-Aware Self-Attention Networks AAAI 2019
Information Aggregation for Multi-Head Attention with Routing-by-Agreement NAACL 2019
Approximate Manifold Regularization: Scalable Algorithm and Generalization Analysis IJCAI 2019
Tracking by Animation: Unsupervised Learning of Multi-Object Attentive Trackers CVPR 2019
Multi-Class Learning using Unlabeled Samples: Theory and Algorithm IJCAI 2019
DSFD: Dual Shot Face Detector CVPR 2019
Relation Extraction with Temporal Reasoning Based on Memory Augmented Distant Supervision NAACL 2019
AddGraph: Anomaly Detection in Dynamic Graph Using Attention-based Temporal GCN IJCAI 2019
Gradient Boosting with Piece-Wise Linear Regression Trees IJCAI 2019
BRITS: Bidirectional Recurrent Imputation for Time Series NIPS 2018
A Simple Proximal Stochastic Gradient Method for Nonsmooth Nonconvex Optimization NIPS 2018
Multi-Class Learning: From Theory to Algorithm NIPS 2018
Code Completion with Neural Attention and Pointer Networks IJCAI 2018
Multi-Head Attention with Disagreement Regularization EMNLP 2018
Nearly Instance Optimal Sample Complexity Bounds for Top-k Arm Selection AISTATS 2017
Single-Pass PCA of Large High-Dimensional Data IJCAI 2017
Efficient Kernel Selection via Spectral Analysis IJCAI 2017
Learning Gradient Descent: Better Generalization and Longer Horizons ICML 2017
Towards Instance Optimal Bounds for Best Arm Identification COLT 2017
Nearly Optimal Sampling Algorithms for Combinatorial Pure Exploration COLT 2017
K-Means Clustering with Distributed Dimensions ICML 2016
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
On Top-k Selection in Multi-Armed Bandits and Hidden Bipartite Graphs NIPS 2015
Stochastic Online Greedy Learning with Semi-bandit Feedbacks NIPS 2015
Optimal PAC Multiple Arm Identification with Applications to Crowdsourcing ICML 2014
Parallelizing Support Vector Machines on Distributed Computers NIPS 2007