← Authors

Jun Zhou

111 papers · 2014–2026 · 19 conferences · across top CS/AI conferences

Achievements

πŸ—ΊοΈ Taxonomy Completionist (16) 🧭 Keyword Pioneer 🐝 Cross-Pollinator (10) 🐣 Hot Topic Early Bird πŸƒ Academic Marathon (11) 🌈 Renaissance Researcher (5) πŸŒ‰ Interdisciplinary Bridge 🌍 Conference Polyglot (18) 🏠 Conference Loyalist (21) 🀝 Dynamic Duo (20) πŸ‘‘ Triple Crown πŸ† Grand Slam πŸ‘₯ Mega-Team (20) πŸ”¬ Deep Specialist (13) πŸ† Keyword Champion πŸ”₯ Unstoppable (9) ⚑ Prolific Year (28) ❓ The Questioner πŸ’Ž Century Club (105) πŸ—ƒοΈ Keyword Collector (496) πŸ“ˆ Trend Setter πŸš€ Conference Pioneer

Conferences

AAAI (26) NIPS (12) IJCAI (11) CVPR (11) EMNLP (10) ICML (8) ICLR (6) ACL (6) ICCV (5) COLING (4) ECCV (2) JMLR (2) MICCAI (2) EACL (1) ACML (1) INTERSPEECH (1) MLHC (1) NAACL (1) WACV (1)

Top co-authors

Zhiqiang Zhang (21) Xiaolu Zhang (16) Longfei Li (15) Xiao Bai (9) Chaochao Chen (9) Ziqi Liu (9) Qing Cui (8) Lin Gu (7) Siqiao Xue (7) Caizhi Tang (6)

Research topics

Differential Privacy (1) Privacy (1)

Keywords

large language model (20) graph neural network (13) causal inference (7) transfer learning (5) question answering (5) diffusion model (5) convolutional neural network (5) domain adaptation (4) heterogeneous treatment effect (3) knowledge distillation (3) retrieval-augmented generation (3) multi-task learning (3) few-shot learning (3) attention mechanism (3) node classification (3) prompt learning (3) reinforcement learning (3) contrastive learning (3) domain generalization (3) graph attention network (3)

Papers

Auto-PRE: An Automatic and Cost-Efficient Peer-Review Framework for Language Generation Evaluation AAAI 2026
RV-Syn: Rational and Verifiable Mathematical Reasoning Data Synthesis based on Structured Function Library EACL 2026
VPHO: Joint Visual-Physical Cue Learning and Aggregation for Hand-Object Pose Estimation AAAI 2026
Zo3T: Zero-Shot 3D-Aware Trajectory-Guided Image-to-Video Generation via Test-Time Training AAAI 2026
Note2Chat: Improving LLMs for Multi-Turn Clinical History Taking Using Medical Notes AAAI 2026
Thinker: Training LLMs in Hierarchical Thinking for Deep Search via Multi-Turn Interaction AAAI 2026
AdvMIM: Adversarial Masked Image Modeling for Semi-Supervised Medical Image Segmentation MICCAI 2025
NATRA: Noise-Agnostic Framework for Trajectory Prediction with Noisy Observations ICCV 2025
STAR: Spatial-Temporal Augmentation with Text-to-Video Models for Real-World Video Super-Resolution ICCV 2025
Audio-visual Controlled Video Diffusion with Masked Selective State Spaces Modeling for Natural Talking Head Generation ICCV 2025
Pixel-Wise Shuffling with Collaborative Sparsity for Melanoma Hyperspectral Image Classification WACV 2025
Patient-Specific Deep Reinforcement Learning for Automatic Replanning in Head-and-Neck Cancer Proton Therapy MLHC 2025
LaMP-Val: Large Language Models Empower Personalized Valuation in Auction EMNLP 2025
Adaptive Client Sampling in Federated Learning via Online Learning with Bandit Feedback JMLR 2025
Rethinking Causal Ranking: A Balanced Perspective on Uplift Model Evaluation ICML 2025
Effective and Efficient Masked Image Generation Models ICML 2025
HeMeNet: Heterogeneous Multichannel Equivariant Network for Protein Multi-task Learning AAAI 2025
Making Large Vision Language Models to Be Good Few-Shot Learners AAAI 2025
CREST: An Efficient Conjointly-trained Spike-driven Framework for Event-based Object Detection Exploiting Spatiotemporal Dynamics AAAI 2025
Learning Causal Transition Matrix for Instance-dependent Label Noise AAAI 2025
Explore What LLM Does Not Know in Complex Question Answering AAAI 2025
Improving Natural Language Understanding for LLMs via Large-Scale Instruction Synthesis AAAI 2025
LSSF: Safety Alignment for Large Language Models through Low-Rank Safety Subspace Fusion ACL 2025
Robust Preference Optimization via Dynamic Target Margins ACL 2025
Refining Sentence Embedding Model through Ranking Sentences Generation with Large Language Models ACL 2025
BOSE: A Systematic Evaluation Method Optimized for Base Models ACL 2025
ShieldHead: Decoding-time Safeguard for Large Language Models ACL 2025
MASS: Mathematical Data Selection via Skill Graphs for Pretraining Large Language Models ICML 2025
Controllable Unlearning for Image-to-Image Generative Models via $\epsilon$-Constrained Optimization ICLR 2025
SATA: Spatial Autocorrelation Token Analysis for Enhancing the Robustness of Vision Transformers CVPR 2025
InsTaG: Learning Personalized 3D Talking Head from Few-Second Video CVPR 2025
HunyuanPortrait: Implicit Condition Control for Enhanced Portrait Animation CVPR 2025
FireEdit: Fine-grained Instruction-based Image Editing via Region-aware Vision Language Model CVPR 2025
Unlocking the Power of Function Vectors for Characterizing and Mitigating Catastrophic Forgetting in Continual Instruction Tuning ICLR 2025
LLMOPT: Learning to Define and Solve General Optimization Problems from Scratch ICLR 2025
RED: Unleashing Token-Level Rewards from Holistic Feedback via Reward Redistribution EMNLP 2025
Embedding Domain Knowledge for Large Language Models via Reinforcement Learning from Augmented Generation EMNLP 2025
Understanding and Mitigating Overrefusal in LLMs from an Unveiling Perspective of Safety Decision Boundary EMNLP 2025
Rethinking Memory and Communication Costs for Efficient Data Parallel Training of Large Language Models NIPS 2024
Collaborative Refining for Learning from Inaccurate Labels NIPS 2024
Lower Bounds of Uniform Stability in Gradient-Based Bilevel Algorithms for Hyperparameter Optimization NIPS 2024
EasyTPP: Towards Open Benchmarking Temporal Point Processes ICLR 2024
Knowledge-augmented Financial Market Analysis and Report Generation EMNLP 2024
OneGen: Efficient One-Pass Unified Generation and Retrieval for LLMs EMNLP 2024
Improving Equivariant Graph Neural Networks on Large Geometric Graphs via Virtual Nodes Learning ICML 2024
Epicardium Prompt-guided Real-time Cardiac Ultrasound Frame-to-volume Registration MICCAI 2024
ChatUIE: Exploring Chat-based Unified Information Extraction Using Large Language Models COLING 2024
Enhancing Cross-Document Event Coreference Resolution by Discourse Structure and Semantic Information COLING 2024
What Factors Influence LLMs’ Judgments? A Case Study on Question Answering COLING 2024
GMP-AR: Granularity Message Passing and Adaptive Reconciliation for Temporal Hierarchy Forecasting AAAI 2024
Backdoor Adjustment via Group Adaptation for Debiased Coupon Recommendations AAAI 2024
MDGNN: Multi-Relational Dynamic Graph Neural Network for Comprehensive and Dynamic Stock Investment Prediction AAAI 2024
Structural Information Enhanced Graph Representation for Link Prediction AAAI 2024
LLMRG: Improving Recommendations through Large Language Model Reasoning Graphs AAAI 2024
Ο€-Light: Programmatic Interpretable Reinforcement Learning for Resource-Limited Traffic Signal Control AAAI 2024
Unifying Bayesian Flow Networks and Diffusion Models through Stochastic Differential Equations ICML 2024
Self-cognitive Denoising in the Presence of Multiple Noisy Label Sources ICML 2024
Keypoint-based Progressive Chain-of-Thought Distillation for LLMs ICML 2024
TalkingGaussian: Structure-Persistent 3D Talking Head Synthesis via Gaussian Splatting ECCV 2024
DNGaussian: Optimizing Sparse-View 3D Gaussian Radiance Fields with Global-Local Depth Normalization CVPR 2024
FC-GNN: Recovering Reliable and Accurate Correspondences from Interferences CVPR 2024
Harvesting Events from Multiple Sources: Towards a Cross-Document Event Extraction Paradigm ACL 2024
Efficient Model Stealing Defense with Noise Transition Matrix CVPR 2024
Learning to Plan for Retrieval-Augmented Large Language Models from Knowledge Graphs EMNLP 2024
TimeMixer: Decomposable Multiscale Mixing for Time Series Forecasting ICLR 2024
Optimizing Language Models with Fair and Stable Reward Composition in Reinforcement Learning EMNLP 2024
Deep Fusion Transformer Network with Weighted Vector-Wise Keypoints Voting for Robust 6D Object Pose Estimation ICCV 2023
FAST: a Fused and Accurate Shrinkage Tree for Heterogeneous Treatment Effects Estimation NIPS 2023
Unleashing the Power of Graph Data Augmentation on Covariate Distribution Shift NIPS 2023
Prompt-augmented Temporal Point Process for Streaming Event Sequence NIPS 2023
Language Models Can Improve Event Prediction by Few-Shot Abductive Reasoning NIPS 2023
Towards Anytime Fine-tuning: Continually Pre-trained Language Models with Hypernetwork Prompts EMNLP 2023
Efficient Region-Aware Neural Radiance Fields for High-Fidelity Talking Portrait Synthesis ICCV 2023
Towards Open Temporal Graph Neural Networks ICLR 2023
Difference-in-Differences Meets Tree-based Methods: Heterogeneous Treatment Effects Estimation with Unmeasured Confounding ICML 2023
Few-shot Classification via Ensemble Learning with Multi-Order Statistics IJCAI 2023
Keep Skills in Mind: Understanding and Implementing Skills in Commonsense Question Answering IJCAI 2023
SQLFlow: An Extensible Toolkit Integrating DB and AI JMLR 2023
Revisiting Domain Generalized Stereo Matching Networks From a Feature Consistency Perspective CVPR 2022
Ask Question First for Enhancing Lifelong Language Learning COLING 2022
Robust Direct Learning for Causal Data Fusion ACML 2022
SAIL: Self-Augmented Graph Contrastive Learning AAAI 2022
Robust Heterogeneous Graph Neural Networks against Adversarial Attacks AAAI 2022
Vertically Federated Graph Neural Network for Privacy-Preserving Node Classification IJCAI 2022
MERIT: Learning Multi-level Representations on Temporal Graphs IJCAI 2022
Learning Mixture of Neural Temporal Point Processes for Multi-dimensional Event Sequence Clustering IJCAI 2022
Robust Cough Feature Extraction and Classification Method for COVID-19 Cough Detection Based on Vocalization Characteristics INTERSPEECH 2022
Regularizing Graph Neural Networks via Consistency-Diversity Graph Augmentations AAAI 2022
Where to Focus: Investigating Hierarchical Attention Relationship for Fine-Grained Visual Classification ECCV 2022
Debiased Causal Tree: Heterogeneous Treatment Effects Estimation with Unmeasured Confounding NIPS 2022
Attention-based Pyramid Dilated Lattice Network for Blind Image Denoising IJCAI 2021
Cross-Domain Recommendation: Challenges, Progress, and Prospects IJCAI 2021
A Bi-Level Framework for Learning to Solve Combinatorial Optimization on Graphs NIPS 2021
MixSeq: Connecting Macroscopic Time Series Forecasting with Microscopic Time Series Data NIPS 2021
Decomposing Complex Questions Makes Multi-Hop QA Easier and More Interpretable EMNLP 2021
Goal-Oriented Gaze Estimation for Zero-Shot Learning CVPR 2021
Improving Transferability of Adversarial Patches on Face Recognition With Generative Models CVPR 2021
Near Lossless Transfer Learning for Spiking Neural Networks AAAI 2021
Bandit Samplers for Training Graph Neural Networks NIPS 2020
Financial Risk Analysis for SMEs with Graph-based Supply Chain Mining IJCAI 2020
Pruning from Scratch AAAI 2020
Characterizing Membership Privacy in Stochastic Gradient Langevin Dynamics AAAI 2020
Deep Residual-Dense Lattice Network for Speech Enhancement AAAI 2020
AntProphet: an Intention Mining System behind Alipay's Intelligent Customer Service Bot IJCAI 2019
Generalization in Generative Adversarial Networks: A Novel Perspective from Privacy Protection NIPS 2019
GeniePath: Graph Neural Networks with Adaptive Receptive Paths AAAI 2019
Cash-Out User Detection Based on Attributed Heterogeneous Information Network with a Hierarchical Attention Mechanism AAAI 2019
Latent Distribution Preserving Deep Subspace Clustering IJCAI 2019
Cross-Domain Review Helpfulness Prediction Based on Convolutional Neural Networks with Auxiliary Domain Discriminators NAACL 2018
Locally Linear Factorization Machines IJCAI 2017
Adaptive Object Retrieval with Kernel Reconstructive Hashing CVPR 2014