← Authors

Kun Kuang

84 papers · 2019–2026 · 12 conferences · across top CS/AI conferences

Achievements

🐣 Hot Topic Early Bird πŸŒ‰ Interdisciplinary Bridge 🧭 Keyword Pioneer 🌍 Conference Polyglot (12) πŸƒ Academic Marathon (6) 🐝 Cross-Pollinator (10) 🌈 Renaissance Researcher (11) πŸ—ΊοΈ Taxonomy Completionist (125) 🏠 Conference Loyalist (20) πŸ”¬ Deep Specialist (15) πŸ‘₯ Mega-Team (29) πŸ‘‘ Triple Crown 🀝 Dynamic Duo (53) πŸ† Grand Slam πŸ“ˆ Trend Setter πŸ”₯ Unstoppable (7) πŸ—ƒοΈ Keyword Collector (311) πŸ’Ž Century Club (81) ⚑ Prolific Year (14)

Conferences

ICML (20) AAAI (18) EMNLP (14) ACL (10) COLING (4) ICCV (4) NIPS (4) ICLR (3) NAACL (3) CVPR (2) IJCAI (1) IJCNLP (1)

Top co-authors

Fei Wu (53) Yiquan Wu (17) Changlong Sun (14) Jun Xiao (11) Anpeng Wu (10) Chengyuan Liu (10) Long Chen (8) Ruoxuan Xiong (8) Ang Li (8) Yifei Liu (8)

Research topics

Privacy (1) Education (1)

Keywords

large language model (15) causal inference (13) representation learning (6) spurious correlation (5) domain adaptation (5) legal judgment prediction (5) attention mechanism (5) text classification (5) text generation (4) knowledge graph (4) reinforcement learning (4) contrastive learning (4) graph neural network (4) credit assignment (3) multi-agent reinforcement learning (3) knowledge injection (3) out-of-distribution generalization (3) domain generalization (3) few-shot learning (3) knowledge distillation (3)

Papers

Think Then Rewrite: Reasoning Enhanced Query Rewriting for Domain Specific Retrieval AAAI 2026
P2S: Probabilistic Process Supervision for General-Domain Reasoning Question Answering AAAI 2026
Detecting Unobserved Confounders: A Kernelized Regression Approach AAAI 2026
Latent Score-Based Reweighting for Robust Classification on Imbalanced Tabular Data ICML 2025
MergeNet: Knowledge Migration Across Heterogeneous Models, Tasks, and Modalities AAAI 2025
FedCFA: Alleviating Simpson’s Paradox in Model Aggregation with Counterfactual Federated Learning AAAI 2025
Learning Causal Transition Matrix for Instance-dependent Label Noise AAAI 2025
Optimize Incompatible Parameters Through Compatibility-aware Knowledge Integration AAAI 2025
OS Agents: A Survey on MLLM-based Agents for Computer, Phone and Browser Use ACL 2025
Embracing Imperfection: Simulating Students with Diverse Cognitive Levels Using LLM-based Agents ACL 2025
UniLR: Unleashing the Power of LLMs on Multiple Legal Tasks with a Unified Legal Retriever ACL 2025
Rewrite to Jailbreak: Discover Learnable and Transferable Implicit Harmfulness Instruction ACL 2025
Fine-tuning Large Language Models for Improving Factuality in Legal Question Answering COLING 2025
Towards Better Alignment: Training Diffusion Models with Reinforcement Learning Against Sparse Rewards CVPR 2025
RED: Unleashing Token-Level Rewards from Holistic Feedback via Reward Redistribution EMNLP 2025
CAT: Causal Attention Tuning For Injecting Fine-grained Causal Knowledge into Large Language Models EMNLP 2025
CoEvo: Coevolution of LLM and Retrieval Model for Domain-Specific Information Retrieval EMNLP 2025
ClaimGen-CN: A Large-scale Chinese Dataset for Legal Claim Generation EMNLP 2025
Evaluating Test-Time Scaling LLMs for Legal Reasoning: OpenAI o1, DeepSeek-R1, and Beyond EMNLP 2025
Decoding Correlation-Induced Misalignment in the Stable Diffusion Workflow for Text-to-Image Generation ICCV 2025
ERICT: Enhancing Robustness by Identifying Concept Tokens in Zero-Shot Vision Language Models ICML 2025
Advancing Personalized Learning with Neural Collapse for Long-Tail Challenge ICML 2025
D-Fusion: Direct Preference Optimization for Aligning Diffusion Models with Visually Consistent Samples ICML 2025
Generalizing Causal Effects from Randomized Controlled Trials to Target Populations across Diverse Environments ICML 2025
Arrow: Accelerator for Time Series Causal Discovery with Time Weaving ICML 2025
Rethinking Causal Ranking: A Balanced Perspective on Uplift Model Evaluation ICML 2025
Learning to Solve Domain-Specific Calculation Problems with Knowledge-Intensive Programs Generator NAACL 2025
Legal Judgment Prediction based on Knowledge-enhanced Multi-Task and Multi-Label Text Classification NAACL 2025
Learning Causal Relations from Subsampled Time Series with Two Time-Slices ICML 2024
Enhancing Court View Generation with Knowledge Injection and Guidance COLING 2024
Evolving Knowledge Distillation with Large Language Models and Active Learning COLING 2024
From Graph to Word Bag: Introducing Domain Knowledge to Confusing Charge Prediction COLING 2024
Model Tailor: Mitigating Catastrophic Forgetting in Multi-modal Large Language Models ICML 2024
Distributionally Generative Augmentation for Fair Facial Attribute Classification CVPR 2024
Gold Panning in Vocabulary: An Adaptive Method for Vocabulary Expansion of Domain-Specific LLMs EMNLP 2024
More Than Catastrophic Forgetting: Integrating General Capabilities For Domain-Specific LLMs EMNLP 2024
Optimizing Language Models with Fair and Stable Reward Composition in Reinforcement Learning EMNLP 2024
Unleashing the Power of LLMs in Court View Generation by Stimulating Internal Knowledge and Incorporating External Knowledge NAACL 2024
MetaCoCo: A New Few-Shot Classification Benchmark with Spurious Correlation ICLR 2024
AuG-KD: Anchor-Based Mixup Generation for Out-of-Domain Knowledge Distillation ICLR 2024
CGMGM: A Cross-Gaussian Mixture Generative Model for Few-Shot Semantic Segmentation AAAI 2024
Learning to Reweight for Generalizable Graph Neural Network AAAI 2024
CoreRec: A Counterfactual Correlation Inference for Next Set Recommendation AAAI 2024
Contrastive Balancing Representation Learning for Heterogeneous Dose-Response Curves Estimation AAAI 2024
De-biased Attention Supervision for Text Classification with Causality AAAI 2024
InfiAgent-DABench: Evaluating Agents on Data Analysis Tasks ICML 2024
LoraRetriever: Input-Aware LoRA Retrieval and Composition for Mixed Tasks in the Wild ACL 2024
Latent Learningscape Guided In-context Learning ACL 2024
Chain-of-Quizzes: Pedagogy-inspired Example Selection in In-Context-Learning ACL 2024
A Generative Approach for Treatment Effect Estimation under Collider Bias: From an Out-of-Distribution Perspective ICML 2024
Learning Shadow Variable Representation for Treatment Effect Estimation under Collider Bias ICML 2024
Two-Stage Shadow Inclusion Estimation: An IV Approach for Causal Inference under Latent Confounding and Collider Bias ICML 2024
HAP: Structure-Aware Masked Image Modeling for Human-Centric Perception NIPS 2023
Fairness-aware Contrastive Learning with Partially Annotated Sensitive Attributes ICLR 2023
Learning Chemical Rules of Retrosynthesis with Pre-training AAAI 2023
Learning Instrumental Variable from Data Fusion for Treatment Effect Estimation AAAI 2023
Learning from Good Trajectories in Offline Multi-Agent Reinforcement Learning AAAI 2023
Precedent-Enhanced Legal Judgment Prediction with LLM and Domain-Model Collaboration EMNLP 2023
Exploiting Contrastive Learning and Numerical Evidence for Confusing Legal Judgment Prediction EMNLP 2023
RexUIE: A Recursive Method with Explicit Schema Instructor for Universal Information Extraction EMNLP 2023
Causal Structure Learning for Latent Intervened Non-stationary Data ICML 2023
Stable Estimation of Heterogeneous Treatment Effects ICML 2023
Focus-aware Response Generation in Inquiry Conversation ACL 2023
Two Heads are Better Than One: A Simple Exploration Framework for Efficient Multi-Agent Reinforcement Learning NIPS 2023
Universal Domain Adaptation via Compressive Attention Matching ICCV 2023
MAP: Towards Balanced Generalization of IID and OOD through Model-Agnostic Adapters ICCV 2023
Deconfounded Value Decomposition for Multi-Agent Reinforcement Learning ICML 2022
The Role of Deconfounding in Meta-learning ICML 2022
Towards Interactivity and Interpretability: A Rationale-based Legal Judgment Prediction Framework EMNLP 2022
Investigating the Robustness of Natural Language Generation from Logical Forms via Counterfactual Samples EMNLP 2022
ConfounderGAN: Protecting Image Data Privacy with Causal Confounder NIPS 2022
GRASP: Navigating Retrosynthetic Planning with Goal-driven Policy NIPS 2022
Dependency Parsing as MRC-based Span-Span Prediction ACL 2022
Instrumental Variable Regression with Confounder Balancing ICML 2022
Explainable Automated Graph Representation Learning with Hyperparameter Importance ICML 2021
BertGCN: Transductive Text Classification by Combining GNN and BERT IJCNLP 2021
Stable Adversarial Learning under Distributional Shifts AAAI 2021
Judgment Prediction via Injecting Legal Knowledge into Neural Networks AAAI 2021
BertGCN: Transductive Text Classification by Combining GNN and BERT ACL 2021
Semi-Supervised Active Learning for Semi-Supervised Models: Exploit Adversarial Examples With Graph-Based Virtual Labels ICCV 2021
Decorrelated Clustering with Data Selection Bias IJCAI 2020
Stable Prediction with Model Misspecification and Agnostic Distribution Shift AAAI 2020
De-Biased Court’s View Generation with Causality EMNLP 2020
Disentangled Graph Convolutional Networks ICML 2019