← Authors

Dongsheng Li

125 papers · 2015–2026 · 17 conferences · across top CS/AI conferences

Achievements

🧭 Keyword Pioneer 🌍 Conference Polyglot (17) 🐝 Cross-Pollinator (11) 🐣 Hot Topic Early Bird πŸƒ Academic Marathon (10) 🌈 Renaissance Researcher (7) πŸŒ‰ Interdisciplinary Bridge πŸ—ΊοΈ Taxonomy Completionist (33) 🏠 Conference Loyalist (24) πŸ† Keyword Champion (2) πŸ‘‘ Triple Crown πŸ† Grand Slam πŸ”¬ Deep Specialist (15) 🧬 Topic Evolution 🀝 Dynamic Duo (21) πŸ”₯ Unstoppable (11) ⚑ Prolific Year (29) ❓ The Questioner (3) πŸ’Ž Century Club (123) πŸ“ˆ Trend Setter πŸ—ƒοΈ Keyword Collector (90) πŸš€ Conference Pioneer

Conferences

NIPS (24) ACL (18) ICLR (17) AAAI (16) EMNLP (10) ICML (9) IJCAI (7) CVPR (6) ICCV (4) COLING (3) NAACL (3) ECCV (2) INTERSPEECH (2) EACL (1) IJCNLP (1) ACML (1) NSDI (1)

Top co-authors

Zhen Huang (22) Xufang Luo (19) Zhiliang Tian (18) Kan Ren (15) XINYANG JIANG (14) Yuqing Yang (13) Kaitao Song (13) Yifei Shen (13) Caihua Shan (10) Tao Sun (10)

Research topics

Privacy (1)

Keywords

large language model (21) graph neural network (10) domain adaptation (8) attention mechanism (7) question answering (6) representation learning (5) text generation (5) neural network (5) stochastic gradient descent (5) reinforcement learning (5) diffusion model (4) retrieval-augmented generation (4) decentralized optimization (3) domain generalization (3) machine reading comprehension (3) offline reinforcement learning (3) link prediction (3) few-shot learning (3) rumor detection (3) sample efficiency (3)

Papers

Improving Long-Context Summarization with Multi-Granularity Retrieval Optimization AAAI 2026
WALKSAFE: Risk-aware Graph Random Walk with Bi-GRPO for LLM Safety AAAI 2026
Mitigating Hallucinations in Large Vision-Language Models via DPO: On-Policy Data Hold the Key CVPR 2025
Adversarial Domain Prompt Tuning and Generation for Single Domain Generalization CVPR 2025
MONTROSE: LLM-driven Monte Carlo Tree Search Self-Refinement for Cross-Domain Rumor Detection ACL 2025
DYNTEXT: Semantic-Aware Dynamic Text Sanitization for Privacy-Preserving LLM Inference ACL 2025
DPGA-TextSyn: Differentially Private Genetic Algorithm for Synthetic Text Generation ACL 2025
Mitigate Position Bias in LLMs via Scaling a Single Hidden States Channel ACL 2025
NeuroLM: A Universal Multi-task Foundation Model for Bridging the Gap between Language and EEG Signals ICLR 2025
SeCom: On Memory Construction and Retrieval for Personalized Conversational Agents ICLR 2025
Zero-resource Hallucination Detection for Text Generation via Graph-based Contextual Knowledge Triples Modeling AAAI 2025
LLM-based Rumor Detection via Influence Guided Sample Selection and Game-based Perspective Analysis ACL 2025
AGD: Adversarial Game Defense Against Jailbreak Attacks in Large Language Models ACL 2025
SCBench: A KV Cache-Centric Analysis of Long-Context Methods ICLR 2025
EvoAgent: Towards Automatic Multi-Agent Generation via Evolutionary Algorithms NAACL 2025
EASYTOOL: Enhancing LLM-based Agents with Concise Tool Instruction NAACL 2025
Oracle-MoE: Locality-preserving Routing in the Oracle Space for Memory-constrained Large Language Model Inference ICML 2025
Habitizing Diffusion Planning for Efficient and Effective Decision Making ICML 2025
MMInference: Accelerating Pre-filling for Long-Context Visual Language Models via Modality-Aware Permutation Sparse Attention ICML 2025
DreamDistribution: Learning Prompt Distribution for Diverse In-distribution Generation ICLR 2025
What Makes a Good Diffusion Planner for Decision Making? ICLR 2025
pMoE: Prompting Diverse Experts Together Wins More in Visual Adaptation ICLR 2025
How Do Large Language Models Understand Graph Patterns? A Benchmark for Graph Pattern Comprehension ICLR 2025
VisRL: Intention-Driven Visual Perception via Reinforced Reasoning ICCV 2025
GCML: Gradient Coherence Guided Meta-Learning for Cross-Domain Emerging Topic Rumor Detection EMNLP 2025
Correlation-Aware Example Selection for In-Context Learning with Nonsymmetric Determinantal Point Processes EMNLP 2025
Dovetail: A CPU/GPU Heterogeneous Speculative Decoding for LLM inference EMNLP 2025
Improving Large Language Models in Event Relation Logical Prediction ACL 2024
TaskBench: Benchmarking Large Language Models for Task Automation NIPS 2024
Can Graph Learning Improve Planning in LLM-based Agents? NIPS 2024
Stability and Generalization of Asynchronous SGD: Sharper Bounds Beyond Lipschitz and Smoothness NIPS 2024
Advancing Spiking Neural Networks for Sequential Modeling with Central Pattern Generators NIPS 2024
Towards Editing Time Series NIPS 2024
MInference 1.0: Accelerating Pre-filling for Long-Context LLMs via Dynamic Sparse Attention NIPS 2024
EEG2Video: Towards Decoding Dynamic Visual Perception from EEG Signals NIPS 2024
Perception of Knowledge Boundary for Large Language Models through Semi-open-ended Question Answering NIPS 2024
Once Read is Enough: Domain-specific Pretraining-free Language Models with Cluster-guided Sparse Experts for Long-tail Domain Knowledge NIPS 2024
Understanding and Improving Training-free Loss-based Diffusion Guidance NIPS 2024
Learning Hierarchical Prompt with Structured Linguistic Knowledge for Vision-Language Models AAAI 2024
Auto-Prox: Training-Free Vision Transformer Architecture Search via Automatic Proxy Discovery AAAI 2024
LongLLMLingua: Accelerating and Enhancing LLMs in Long Context Scenarios via Prompt Compression ACL 2024
POMP: Probability-driven Meta-graph Prompter for LLMs in Low-resource Unsupervised Neural Machine Translation ACL 2024
Two-stage Generative Question Answering on Temporal Knowledge Graph Using Large Language Models ACL 2024
Emancipating Event Extraction from the Constraints of Long-Tailed Distribution Data Utilizing Large Language Models COLING 2024
KC-GenRe: A Knowledge-constrained Generative Re-ranking Method Based on Large Language Models for Knowledge Graph Completion COLING 2024
Disentangled Prompt Representation for Domain Generalization CVPR 2024
MLCopilot: Unleashing the Power of Large Language Models in Solving Machine Learning Tasks EACL 2024
Online Video Quality Enhancement with Spatial-Temporal Look-up Tables ECCV 2024
Unified Medical Image Pre-training in Language-Guided Common Semantic Space ECCV 2024
Context-aware Watermark with Semantic Balanced Green-red Lists for Large Language Models EMNLP 2024
CNN Kernels Can Be the Best Shapelets ICLR 2024
Training-free Multi-objective Diffusion Model for 3D Molecule Generation ICLR 2024
Addressing Signal Delay in Deep Reinforcement Learning ICLR 2024
Efficient and Effective Time-Series Forecasting with Spiking Neural Networks ICML 2024
LLMs Can Find Mathematical Reasoning Mistakes by Pedagogical Chain-of-Thought IJCAI 2024
Exploring the Inefficiency of Heavy Ball as Momentum Parameter Approaches 1 IJCAI 2024
Towards Inference Efficient Deep Ensemble Learning AAAI 2023
Stability-Based Generalization Analysis of the Asynchronous Decentralized SGD AAAI 2023
Explaining Temporal Graph Models through an Explorer-Navigator Framework ICLR 2023
Over-parameterized Model Optimization with Polyak-{\L}ojasiewicz Condition ICLR 2023
SIMPLE: Specialized Model-Sample Matching for Domain Generalization ICLR 2023
Data Continuity Matters: Improving Sequence Modeling with Lipschitz Regularizer ICLR 2023
EA-HAS-Bench: Energy-aware Hyperparameter and Architecture Search Benchmark ICLR 2023
Meta-Tsallis-Entropy Minimization: A New Self-Training Approach for Domain Adaptation on Text Classification IJCAI 2023
Adaptive Policy Learning for Offline-to-Online Reinforcement Learning AAAI 2023
ContiFormer: Continuous-Time Transformer for Irregular Time Series Modeling NIPS 2023
Learning Topology-Agnostic EEG Representations with Geometry-Aware Modeling NIPS 2023
Similarity Distribution Based Membership Inference Attack on Person Re-identification AAAI 2023
Learning Decomposed Spatial Relations for Multi-Variate Time-Series Modeling AAAI 2023
GRACE: Gradient-guided Controllable Retrieval for Augmenting Attribute-based Text Generation ACL 2023
Learning Joint Structural and Temporal Contextualized Knowledge Embeddings for Temporal Knowledge Graph Completion ACL 2023
Towards Understanding Omission in Dialogue Summarization ACL 2023
A Canonicalization-Enhanced Known Fact-Aware Framework For Open Knowledge Graph Link Prediction IJCAI 2023
Self-Evolution Learning for Mixup: Enhance Data Augmentation on Few-Shot Text Classification Tasks EMNLP 2023
GROVE: A Retrieval-augmented Complex Story Generation Framework with A Forest of Evidence EMNLP 2023
End-to-End Word-Level Pronunciation Assessment with MASK Pre-training INTERSPEECH 2023
Rotation-Invariant Transformer for Point Cloud Matching CVPR 2023
DiffusionNER: Boundary Diffusion for Named Entity Recognition ACL 2023
DaMSTF: Domain Adversarial Learning Enhanced Meta Self-Training for Domain Adaptation ACL 2023
CircuitNet: A Generic Neural Network to Realize Universal Circuit Motif Modeling ICML 2023
Momentum Ensures Convergence of SIGNSGD under Weaker Assumptions ICML 2023
Train Faster, Perform Better: Modular Adaptive Training in Over-Parameterized Models NIPS 2023
HuggingGPT: Solving AI Tasks with ChatGPT and its Friends in Hugging Face NIPS 2023
Transcormer: Transformer for Sentence Scoring with Sliding Language Modeling NIPS 2022
Social Bot-Aware Graph Neural Network for Early Rumor Detection COLING 2022
RendNet: Unified 2D/3D Recognizer With Latent Space Rendering CVPR 2022
Neural Piecewise-Constant Delay Differential Equations AAAI 2022
Improving Hypernasality Estimation with Automatic Speech Recognition in Cleft Palate Speech INTERSPEECH 2022
Empathetic and Emotionally Positive Conversation Systems with an Emotion-specific Query-Response Memory EMNLP 2022
Invariant Information Bottleneck for Domain Generalization AAAI 2022
Recursive Disentanglement Network ICLR 2022
Variational oracle guiding for reinforcement learning ICLR 2022
Improving Few-Shot Relation Classification by Prototypical Representation Learning with Definition Text NAACL 2022
Reinforcement Learning with Automated Auxiliary Loss Search NIPS 2022
Bootstrapped Transformer for Offline Reinforcement Learning NIPS 2022
VRL3: A Data-Driven Framework for Visual Deep Reinforcement Learning NIPS 2022
Finding Global Homophily in Graph Neural Networks When Meeting Heterophily ICML 2022
Adaptive Random Walk Gradient Descent for Decentralized Optimization ICML 2022
Parameter-free Dynamic Graph Embedding for Link Prediction NIPS 2022
Finite-Time Analysis of Adaptive Temporal Difference Learning with Deep Neural Networks NIPS 2022
Modeling Precursors for Temporal Knowledge Graph Reasoning via Auto-encoder Structure IJCAI 2022
Towards Applicable Reinforcement Learning: Improving the Generalization and Sample Efficiency with Policy Ensemble IJCAI 2022
Stability and Generalization of Decentralized Stochastic Gradient Descent AAAI 2021
Diversity and Consistency: Exploring Visual Question-Answer Pair Generation EMNLP 2021
Reinforcement Learning Enhanced Explainer for Graph Neural Networks NIPS 2021
Learning Invariant Representations and Risks for Semi-Supervised Domain Adaptation CVPR 2021
Energy-Based Open-World Uncertainty Modeling for Confidence Calibration ICCV 2021
Scalable and Explainable 1-Bit Matrix Completion via Graph Signal Learning AAAI 2021
Recognizing Vector Graphics without Rasterization NIPS 2021
NENN: Incorporate Node and Edge Features in Graph Neural Networks ACML 2020
Non-Ergodic Convergence Analysis of Heavy-Ball Algorithms AAAI 2019
Read + Verify: Machine Reading Comprehension with Unanswerable Questions AAAI 2019
Retrieve, Read, Rerank: Towards End-to-End Multi-Document Reading Comprehension ACL 2019
Towards Precise End-to-End Weakly Supervised Object Detection Network ICCV 2019
Correlation Congruence for Knowledge Distillation ICCV 2019
A Multi-Type Multi-Span Network for Reading Comprehension that Requires Discrete Reasoning IJCNLP 2019
General Proximal Incremental Aggregated Gradient Algorithms: Better and Novel Results under General Scheme NIPS 2019
Exploring Pre-trained Language Models for Event Extraction and Generation ACL 2019
A Multi-Type Multi-Span Network for Reading Comprehension that Requires Discrete Reasoning EMNLP 2019
Heavy-ball Algorithms Always Escape Saddle Points IJCAI 2019
Open-Domain Targeted Sentiment Analysis via Span-Based Extraction and Classification ACL 2019
Attention-Guided Answer Distillation for Machine Reading Comprehension EMNLP 2018
Mixture-Rank Matrix Approximation for Collaborative Filtering NIPS 2017
Low-Rank Matrix Approximation with Stability ICML 2016
CubicRing: Enabling One-Hop Failure Detection and Recovery for Distributed In-Memory Storage Systems NSDI 2015