← Authors

Bolin Ding

43 papers · 2017–2026 · 11 conferences · across top CS/AI conferences

Achievements

πŸƒ Academic Marathon (8) 🐣 Hot Topic Early Bird 🌍 Conference Polyglot (10) 🌈 Renaissance Researcher (8) 🐝 Cross-Pollinator (15) πŸŒ‰ Interdisciplinary Bridge πŸ—ΊοΈ Taxonomy Completionist (10) 🧭 Keyword Pioneer πŸ† Grand Slam πŸ‘‘ Triple Crown 🀝 Dynamic Duo (24) 🧬 Topic Evolution πŸ”₯ Unstoppable (7) πŸš€ Conference Pioneer ⚑ Prolific Year (6) πŸ“ˆ Trend Setter ❓ The Questioner (3) πŸ—ƒοΈ Keyword Collector (143) πŸ’Ž Century Club (41)

Conferences

ICML (10) ICLR (8) NIPS (8) ACL (4) EMNLP (3) COLING (2) CVPR (2) EACL (2) IJCAI (2) AAAI (1) NAACL (1)

Top co-authors

Yaliang Li (25) Jinyang Gao (14) Yuexiang Xie (8) Daoyuan Chen (7) Jingren Zhou (7) Xiang Wang (6) xue wang (6) Zhen Wang (4) Junkang Wu (4) Xiangnan He (4)

Research topics

Differential Privacy (2)

Keywords

large language model (7) federated learning (4) reinforcement learning (3) graph neural network (3) multi-agent system (3) node classification (3) hyperparameter optimization (3) model compression (2) neural architecture search (2) causal inference (2) client heterogeneity (2) personalized model (2) in-context learning (2) chain-of-thought reasoning (2) secure computation (1) contrastive learning (1) transfer learning (1) benchmark suite (1) representation learning (1) online learning (1)

Papers

Respecting Temporal-Causal Consistency: Entity-Event Knowledge Graph for Retrieval-Augmented Generation EACL 2026
Incentivizing Strong Reasoning from Weak Supervision EACL 2026
AlphaDPO: Adaptive Reward Margin for Direct Preference Optimization ICML 2025
ToolCoder: A Systematic Code-Empowered Tool Learning Framework for Large Language Models ACL 2025
LLM-Based Multi-Agent Systems are Scalable Graph Generative Models ACL 2025
Enhancing Tool Learning in Large Language Models with Hierarchical Error Checklists ACL 2025
Language Adaptation of Large Language Models: An Empirical Study on LLaMA2 COLING 2025
Img-Diff: Contrastive Data Synthesis for Multimodal Large Language Models CVPR 2025
Provoking Multi-modal Few-Shot LVLM via Exploration-Exploitation In-Context Learning CVPR 2025
Advancing Reasoning with Off-the-Shelf LLMs: A Semantic Structure Perspective EMNLP 2025
Agent-Oriented Planning in Multi-Agent Systems ICLR 2025
Towards Robust Alignment of Language Models: Distributionally Robustifying Direct Preference Optimization ICLR 2025
What is Wrong with Perplexity for Long-context Language Modeling? ICLR 2025
Data-Juicer Sandbox: A Feedback-Driven Suite for Multimodal Data-Model Co-development ICML 2025
Learning Bayesian Nash Equilibrium in Auction Games via Approximate Best Response ICML 2025
Larger or Smaller Reward Margins to Select Preferences for LLM Alignment? ICML 2025
GenSim: A General Social Simulation Platform with Large Language Model based Agents NAACL 2025
$\beta$-DPO: Direct Preference Optimization with Dynamic $\beta$ NIPS 2024
Federated Full-Parameter Tuning of Billion-Sized Language Models with Communication Cost under 18 Kilobytes ICML 2024
Auctionformer: A Unified Deep Learning Algorithm for Solving Equilibrium Strategies in Auction Games ICML 2024
Improving LoRA in Privacy-preserving Federated Learning ICLR 2024
CARD: Channel Aligned Robust Blend Transformer for Time Series Forecasting ICLR 2024
Do Emergent Abilities Exist in Quantized Large Language Models: An Empirical Study COLING 2024
EE-LLM: Large-Scale Training and Inference of Early-Exit Large Language Models with 3D Parallelism ICML 2024
When to Trust LLMs: Aligning Confidence with Response Quality ACL 2024
Tunable Soft Prompts are Messengers in Federated Learning EMNLP 2023
Learned Index with Dynamic $\epsilon$ ICLR 2023
Efficient Personalized Federated Learning via Sparse Model-Adaptation ICML 2023
FedHPO-Bench: A Benchmark Suite for Federated Hyperparameter Optimization ICML 2023
pFL-Bench: A Comprehensive Benchmark for Personalized Federated Learning NIPS 2022
EvenNet: Ignoring Odd-Hop Neighbors Improves Robustness of Graph Neural Networks NIPS 2022
iFlood: A Stable and Effective Regularizer ICLR 2022
VF-PS: How to Select Important Participants in Vertical Federated Learning, Efficiently and Securely? NIPS 2022
Factual Consistency Evaluation for Text Summarization via Counterfactual Estimation EMNLP 2021
Automated Relational Meta-learning ICLR 2020
Learning to Mutate with Hypergradient Guided Population NIPS 2020
Simple and Deep Graph Convolutional Networks ICML 2020
AdaBERT: Task-Adaptive BERT Compression with Differentiable Neural Architecture Search IJCAI 2020
Intent Preference Decoupling for User Representation on Online Recommender System IJCAI 2020
Scalable Graph Neural Networks via Bidirectional Propagation NIPS 2020
Efficient Identification of Approximate Best Configuration of Training in Large Datasets AAAI 2019
An Algorithmic Framework For Differentially Private Data Analysis on Trusted Processors NIPS 2019
Collecting Telemetry Data Privately NIPS 2017