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