Tianyi Chen

Group-aware Multiscale Ensemble Learning for Test-Time Multimodal Sentiment Analysis AAAI 2026 ProCrop: Learning Aesthetic Image Cropping from Professional Compositions AAAI 2026 3DHumanEdit: Multi-modal Body Part-aware Conditioning Information Integration for 3D Human Manipulation AAAI 2025 A First-order Generative Bilevel Optimization Framework for Diffusion Models ICML 2025 AFL: A Single-Round Analytic Approach for Federated Learning with Pre-trained Models CVPR 2025 Automatic Joint Structured Pruning and Quantization for Efficient Neural Network Training and Compression CVPR 2025 DistiLLM-2: A Contrastive Approach Boosts the Distillation of LLMs ICML 2025 Efficient First-Order Optimization on the Pareto Set for Multi-Objective Learning under Preference Guidance ICML 2025 Efficient Online Reinforcement Learning for Diffusion Policy ICML 2025 Endo-CLIP: Progressive Self-Supervised Pre-training on Raw Colonoscopy Records MICCAI 2025 Optimistic Safety for Online Convex Optimization with Unknown Linear Constraints AISTATS 2025 Primal-Dual Spectral Representation for Off-policy Evaluation AISTATS 2025 Principled Penalty-based Methods for Bilevel Reinforcement Learning and RLHF JMLR 2025 SEAL: Safety-enhanced Aligned LLM Fine-tuning via Bilevel Data Selection ICLR 2025 SpotDiff: Spatial Gene Expression Imputation Diffusion with Single-Cell RNA Sequencing Data Integration AAAI 2025 Unlocking Global Optimality in Bilevel Optimization: A Pilot Study ICLR 2025 WinSpot: GUI Grounding Benchmark with Multimodal Large Language Models ACL 2025 A Primal-Dual-Assisted Penalty Approach to Bilevel Optimization with Coupled Constraints NeurIPS 2024 AttriHuman-3D: Editable 3D Human Avatar Generation with Attribute Decomposition and Indexing CVPR 2024 CaesarNeRF: Calibrated Semantic Representation for Few-Shot Generalizable Neural Rendering ECCV 2024 DistiLLM: Towards Streamlined Distillation for Large Language Models ICML 2024 DREAM: Diffusion Rectification and Estimation-Adaptive Models CVPR 2024 Enhancing In-context Learning via Linear Probe Calibration AISTATS 2024 FERERO: A Flexible Framework for Preference-Guided Multi-Objective Learning NeurIPS 2024 M2ASR: Multilingual Multi-task Automatic Speech Recognition via Multi-objective Optimization Interspeech 2024 Principled Penalty-based Methods for Bilevel Reinforcement Learning and RLHF ICML 2024 RetouchFormer: Semi-supervised High-Quality Face Retouching Transformer with Prior-Based Selective Self-Attention AAAI 2024 SF-DQN: Provable Knowledge Transfer using Successor Feature for Deep Reinforcement Learning ICML 2024 The Language Model Can Have the Personality: Joint Learning for Personality Enhanced Language Model (Student Abstract) AAAI 2024 Three-Way Trade-Off in Multi-Objective Learning: Optimization, Generalization and Conflict-Avoidance JMLR 2024 Towards Exact Gradient-based Training on Analog In-memory Computing NeurIPS 2024 Alternating Projected SGD for Equality-constrained Bilevel Optimization AISTATS 2023 An Alternating Optimization Method for Bilevel Problems under the Polyak-Łojasiewicz Condition NeurIPS 2023 Distributed Offline Policy Optimization Over Batch Data AISTATS 2023 Enhancing Robot Program Synthesis Through Environmental Context NeurIPS 2023 Exploring Intra-Class Variation Factors With Learnable Cluster Prompts for Semi-Supervised Image Synthesis CVPR 2023 Federated Cross Learning for Medical Image Segmentation MIDL 2023 LinSATNet: The Positive Linear Satisfiability Neural Networks ICML 2023 MAT: Mixed-Strategy Game of Adversarial Training in Fine-tuning IJCAI 2023 Mitigating Gradient Bias in Multi-objective Learning: A Provably Convergent Approach ICLR 2023 On Penalty-based Bilevel Gradient Descent Method ICML 2023 OTOv2: Automatic, Generic, User-Friendly ICLR 2023 Three-Way Trade-Off in Multi-Objective Learning: Optimization, Generalization and Conflict-Avoidance NeurIPS 2023 A Single-timescale Analysis for Stochastic Approximation with Multiple Coupled Sequences NeurIPS 2022 A Single-Timescale Method for Stochastic Bilevel Optimization AISTATS 2022 Is Bayesian Model-Agnostic Meta Learning Better than Model-Agnostic Meta Learning, Provably? AISTATS 2022 Learning to Coordinate in Multi-Agent Systems: A Coordinated Actor-Critic Algorithm and Finite-Time Guarantees L4DC 2022 Sharp-MAML: Sharpness-Aware Model-Agnostic Meta Learning ICML 2022 SphericGAN: Semi-Supervised Hyper-Spherical Generative Adversarial Networks for Fine-Grained Image Synthesis CVPR 2022 Understanding Benign Overfitting in Gradient-Based Meta Learning NeurIPS 2022 CADA: Communication-Adaptive Distributed Adam AISTATS 2021 CAFE: Catastrophic Data Leakage in Vertical Federated Learning NeurIPS 2021 Closing the Gap: Tighter Analysis of Alternating Stochastic Gradient Methods for Bilevel Problems NeurIPS 2021 Decentralized Policy Gradient Descent Ascent for Safe Multi-Agent Reinforcement Learning AAAI 2021 Hybrid Estimation for Open-Ended Questions with Early-Age Students’ Block-Based Programming Answers ACML 2021 Mask-Embedded Discriminator With Region-Based Semantic Regularization for Semi-Supervised Class-Conditional Image Synthesis CVPR 2021 Only Train Once: A One-Shot Neural Network Training And Pruning Framework NeurIPS 2021 Semi-Supervised Single-Stage Controllable GANs for Conditional Fine-Grained Image Generation ICCV 2021 Spatial-Temporal Sequential Hypergraph Network for Crime Prediction with Dynamic Multiplex Relation Learning IJCAI 2021 Bandit Online Learning with Unknown Delays AISTATS 2019 Communication-Efficient Distributed Learning via Lazily Aggregated Quantized Gradients NeurIPS 2019 Random Feature-based Online Multi-kernel Learning in Environments with Unknown Dynamics JMLR 2019 RSA: Byzantine-Robust Stochastic Aggregation Methods for Distributed Learning from Heterogeneous Datasets AAAI 2019 LAG: Lazily Aggregated Gradient for Communication-Efficient Distributed Learning NeurIPS 2018 Online Ensemble Multi-kernel Learning Adaptive to Non-stationary and Adversarial Environments AISTATS 2018