Jun Zhou

Auto-PRE: An Automatic and Cost-Efficient Peer-Review Framework for Language Generation Evaluation AAAI 2026 Rethinking Sample Polarity in Reinforcement Learning with Verifiable Rewards ACL 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 LLaDA 1.5: Variance-Reduced Preference Optimization for Large Language Diffusion Models ACL 2026 Improving Autoformalization Using Direct Dependency Retrieval ACL 2026 A Deep Learning-Enabled Digital Twin Framework for Fast Online Adaptive Proton Therapy: A Validation Study in A Prostate SBRT Clinical Application MIDL 2026 ReportLogic: Evaluating Logical Quality in Deep Research Reports ACL 2026 RV-Syn: Rational and Verifiable Mathematical Reasoning Data Synthesis based on Structured Function Library EACL 2026 Zo3T: Zero-Shot 3D-Aware Trajectory-Guided Image-to-Video Generation via Test-Time Training AAAI 2026 VPHO: Joint Visual-Physical Cue Learning and Aggregation for Hand-Object Pose Estimation AAAI 2026 FireEdit: Fine-grained Instruction-based Image Editing via Region-aware Vision Language Model CVPR 2025 LLMOPT: Learning to Define and Solve General Optimization Problems from Scratch ICLR 2025 Unlocking the Power of Function Vectors for Characterizing and Mitigating Catastrophic Forgetting in Continual Instruction Tuning ICLR 2025 Controllable Unlearning for Image-to-Image Generative Models via $\epsilon$-Constrained Optimization ICLR 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 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 AdvMIM: Adversarial Masked Image Modeling for Semi-Supervised Medical Image Segmentation MICCAI 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 MASS: Mathematical Data Selection via Skill Graphs for Pretraining Large Language Models ICML 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 Audio-visual Controlled Video Diffusion with Masked Selective State Spaces Modeling for Natural Talking Head Generation ICCV 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 LaMP-Val: Large Language Models Empower Personalized Valuation in Auction EMNLP 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 Collaborative Refining for Learning from Inaccurate Labels NIPS 2024 Rethinking Memory and Communication Costs for Efficient Data Parallel Training of Large Language Models NIPS 2024 Lower Bounds of Uniform Stability in Gradient-Based Bilevel Algorithms for Hyperparameter Optimization NIPS 2024 Keypoint-based Progressive Chain-of-Thought Distillation for LLMs ICML 2024 What Factors Influence LLMs’ Judgments? A Case Study on Question Answering COLING 2024 Unifying Bayesian Flow Networks and Diffusion Models through Stochastic Differential Equations ICML 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 π-Light: Programmatic Interpretable Reinforcement Learning for Resource-Limited Traffic Signal Control AAAI 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 Knowledge-augmented Financial Market Analysis and Report Generation EMNLP 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 Efficient Model Stealing Defense with Noise Transition Matrix CVPR 2024 Harvesting Events from Multiple Sources: Towards a Cross-Document Event Extraction Paradigm ACL 2024 OneGen: Efficient One-Pass Unified Generation and Retrieval for LLMs EMNLP 2024 Learning to Plan for Retrieval-Augmented Large Language Models from Knowledge Graphs EMNLP 2024 EasyTPP: Towards Open Benchmarking Temporal Point Processes ICLR 2024 Self-cognitive Denoising in the Presence of Multiple Noisy Label Sources ICML 2024 Improving Equivariant Graph Neural Networks on Large Geometric Graphs via Virtual Nodes Learning ICML 2024 TalkingGaussian: Structure-Persistent 3D Talking Head Synthesis via Gaussian Splatting ECCV 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 Towards Open Temporal Graph Neural Networks ICLR 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 Deep Fusion Transformer Network with Weighted Vector-Wise Keypoints Voting for Robust 6D Object Pose Estimation ICCV 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 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 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 Regularizing Graph Neural Networks via Consistency-Diversity Graph Augmentations AAAI 2022 Debiased Causal Tree: Heterogeneous Treatment Effects Estimation with Unmeasured Confounding NIPS 2022 Where to Focus: Investigating Hierarchical Attention Relationship for Fine-Grained Visual Classification ECCV 2022 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 Attention-based Pyramid Dilated Lattice Network for Blind Image Denoising IJCAI 2021 Cross-Domain Recommendation: Challenges, Progress, and Prospects IJCAI 2021 Near Lossless Transfer Learning for Spiking Neural Networks AAAI 2021 Financial Risk Analysis for SMEs with Graph-based Supply Chain Mining IJCAI 2020 Pruning from Scratch AAAI 2020 Deep Residual-Dense Lattice Network for Speech Enhancement AAAI 2020 Bandit Samplers for Training Graph Neural Networks NIPS 2020 Characterizing Membership Privacy in Stochastic Gradient Langevin Dynamics AAAI 2020 Cash-Out User Detection Based on Attributed Heterogeneous Information Network with a Hierarchical Attention Mechanism AAAI 2019 Generalization in Generative Adversarial Networks: A Novel Perspective from Privacy Protection NIPS 2019 Latent Distribution Preserving Deep Subspace Clustering IJCAI 2019 AntProphet: an Intention Mining System behind Alipay's Intelligent Customer Service Bot IJCAI 2019 GeniePath: Graph Neural Networks with Adaptive Receptive Paths AAAI 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