Chen, Tianyi

72 publications

AAAI 2025 3DHumanEdit: Multi-Modal Body Part-Aware Conditioning Information Integration for 3D Human Manipulation Feifan Xu, Tianyi Chen, Fan Yang, Yunfei Zhang, Si Wu

ICML 2025 A First-Order Generative Bilevel Optimization Framework for Diffusion Models Quan Xiao, Hui Yuan, A F M Saif, Gaowen Liu, Ramana Rao Kompella, Mengdi Wang, Tianyi Chen

CVPR 2025 AFL: A Single-Round Analytic Approach for Federated Learning with Pre-Trained Models Run He, Kai Tong, Di Fang, Han Sun, Ziqian Zeng, Haoran Li, Tianyi Chen, Huiping Zhuang

NeurIPS 2025 Achilles' Heel of Mamba: Essential Difficulties of the Mamba Architecture Demonstrated by Synthetic Data Tianyi Chen, Pengxiao Lin, Zhiwei Wang, Zhi-Qin John Xu

NeurIPS 2025 Analog In-Memory Training on General Non-Ideal Resistive Elements: The Impact of Response Functions Zhaoxian Wu, Quan Xiao, Tayfun Gokmen, Omobayode Fagbohungbe, Tianyi Chen

CVPR 2025 Automatic Joint Structured Pruning and Quantization for Efficient Neural Network Training and Compression Xiaoyi Qu, David Aponte, Colby Banbury, Daniel P. Robinson, Tianyu Ding, Kazuhito Koishida, Ilya Zharkov, Tianyi Chen

NeurIPS 2025 Beyond Value Functions: Single-Loop Bilevel Optimization Under Flatness Conditions Liuyuan Jiang, Quan Xiao, Lisha Chen, Tianyi Chen

ICML 2025 DistiLLM-2: A Contrastive Approach Boosts the Distillation of LLMs Jongwoo Ko, Tianyi Chen, Sungnyun Kim, Tianyu Ding, Luming Liang, Ilya Zharkov, Se-Young Yun

ICML 2025 Efficient First-Order Optimization on the Pareto Set for Multi-Objective Learning Under Preference Guidance Lisha Chen, Quan Xiao, Ellen Hidemi Fukuda, Xinyi Chen, Kun Yuan, Tianyi Chen

ICML 2025 Efficient Online Reinforcement Learning for Diffusion Policy Haitong Ma, Tianyi Chen, Kai Wang, Na Li, Bo Dai

NeurIPS 2025 Objective Soups: Multilingual Multi-Task Modeling for Speech Processing A F M Saif, Lisha Chen, Xiaodong Cui, Songtao Lu, Brian Kingsbury, Tianyi Chen

CVPRW 2025 On the Robustness of GUI Grounding Models Against Image Attacks Haoren Zhao, Tianyi Chen, Zhen Wang

AISTATS 2025 Optimistic Safety for Online Convex Optimization with Unknown Linear Constraints Spencer Hutchinson, Tianyi Chen, Mahnoosh Alizadeh

AISTATS 2025 Primal-Dual Spectral Representation for Off-Policy Evaluation Yang Hu, Tianyi Chen, Na Li, Kai Wang, Bo Dai

JMLR 2025 Principled Penalty-Based Methods for Bilevel Reinforcement Learning and RLHF Han Shen, Zhuoran Yang, Tianyi Chen

NeurIPS 2025 ReCAP: Recursive Context-Aware Reasoning and Planning for Large Language Model Agents Zhenyu Zhang, Tianyi Chen, Weiran Xu, Alex Pentland, Jiaxin Pei

ICLR 2025 SEAL: Safety-Enhanced Aligned LLM Fine-Tuning via Bilevel Data Selection Han Shen, Pin-Yu Chen, Payel Das, Tianyi Chen

AAAI 2025 SpotDiff: Spatial Gene Expression Imputation Diffusion with Single-Cell RNA Sequencing Data Integration Tianyi Chen, Yunfei Zhang, Lianxin Xie, Wenjun Shen, Si Wu, Hau-San Wong

ICLR 2025 Unlocking Global Optimality in Bilevel Optimization: A Pilot Study Quan Xiao, Tianyi Chen

NeurIPS 2025 Why 1 + 1 < 1 in Visual Token Pruning: Beyond Naive Integration via Multi-Objective Balanced Covering Yangfu Li, Hongjian Zhan, Tianyi Chen, Qi Liu, Yu-Jie Xiong, Yue Lu

NeurIPS 2024 A Primal-Dual-Assisted Penalty Approach to Bilevel Optimization with Coupled Constraints Liuyuan Jiang, Quan Xiao, Victor M. Tenorio, Fernando Real-Rojas, Antonio G. Marques, Tianyi Chen

CVPR 2024 AttriHuman-3D: Editable 3D Human Avatar Generation with Attribute Decomposition and Indexing Fan Yang, Tianyi Chen, Xiaosheng He, Zhongang Cai, Lei Yang, Si Wu, Guosheng Lin

ECCV 2024 CaesarNeRF: Calibrated Semantic Representation for Few-Shot Generalizable Neural Rendering Haidong Zhu, Tianyu Ding, Tianyi Chen, Ilya Zharkov, Ram Nevatia, Luming Liang

CVPR 2024 DREAM: Diffusion Rectification and Estimation-Adaptive Models Jinxin Zhou, Tianyu Ding, Tianyi Chen, Jiachen Jiang, Ilya Zharkov, Zhihui Zhu, Luming Liang

ICML 2024 DistiLLM: Towards Streamlined Distillation for Large Language Models Jongwoo Ko, Sungnyun Kim, Tianyi Chen, Se-Young Yun

AISTATS 2024 Enhancing In-Context Learning via Linear Probe Calibration Momin Abbas, Yi Zhou, Parikshit Ram, Nathalie Baracaldo, Horst Samulowitz, Theodoros Salonidis, Tianyi Chen

NeurIPS 2024 FERERO: A Flexible Framework for Preference-Guided Multi-Objective Learning Lisha Chen, Afm Saif, Yanning Shen, Tianyi Chen

TMLR 2024 Hybrid Federated Learning for Feature & Sample Heterogeneity: Algorithms and Implementation Xinwei Zhang, Wotao Yin, Mingyi Hong, Tianyi Chen

ICML 2024 Principled Penalty-Based Methods for Bilevel Reinforcement Learning and RLHF Han Shen, Zhuoran Yang, Tianyi Chen

AAAI 2024 RetouchFormer: Semi-Supervised High-Quality Face Retouching Transformer with Prior-Based Selective Self-Attention Xue Wen, Lianxin Xie, Le Jiang, Tianyi Chen, Si Wu, Cheng Liu, Hau-San Wong

ICML 2024 SF-DQN: Provable Knowledge Transfer Using Successor Feature for Deep Reinforcement Learning Shuai Zhang, Heshan Devaka Fernando, Miao Liu, Keerthiram Murugesan, Songtao Lu, Pin-Yu Chen, Tianyi Chen, Meng Wang

AAAI 2024 The Language Model Can Have the Personality: Joint Learning for Personality Enhanced Language Model (Student Abstract) Tianyi Chen, Feiqi Cao, Yihao Ding, Soyeon Caren Han

JMLR 2024 Three-Way Trade-Off in Multi-Objective Learning: Optimization, Generalization and Conflict-Avoidance Lisha Chen, Heshan Fernando, Yiming Ying, Tianyi Chen

NeurIPS 2024 Towards Exact Gradient-Based Training on Analog In-Memory Computing Zhaoxian Wu, Tayfun Gokmen, Malte J. Rasch, Tianyi Chen

AISTATS 2023 Alternating Projected SGD for Equality-Constrained Bilevel Optimization Quan Xiao, Han Shen, Wotao Yin, Tianyi Chen

TMLR 2023 An Adaptive Half-Space Projection Method for Stochastic Optimization Problems with Group Sparse Regularization Yutong Dai, Tianyi Chen, Guanyi Wang, Daniel Robinson

NeurIPS 2023 An Alternating Optimization Method for Bilevel Problems Under the Polyak-Łojasiewicz Condition Quan Xiao, Songtao Lu, Tianyi Chen

AISTATS 2023 Distributed Offline Policy Optimization over Batch Data Han Shen, Songtao Lu, Xiaodong Cui, Tianyi Chen

NeurIPS 2023 Enhancing Robot Program Synthesis Through Environmental Context Tianyi Chen, Qidi Wang, Zhen Dong, Liwei Shen, Xin Peng

CVPR 2023 Exploring Intra-Class Variation Factors with Learnable Cluster Prompts for Semi-Supervised Image Synthesis Yunfei Zhang, Xiaoyang Huo, Tianyi Chen, Si Wu, Hau San Wong

ICML 2023 LinSATNet: The Positive Linear Satisfiability Neural Networks Runzhong Wang, Yunhao Zhang, Ziao Guo, Tianyi Chen, Xiaokang Yang, Junchi Yan

IJCAI 2023 MAT: Mixed-Strategy Game of Adversarial Training in Fine-Tuning Zhehua Zhong, Tianyi Chen, Zhen Wang

ICLR 2023 Mitigating Gradient Bias in Multi-Objective Learning: A Provably Convergent Approach Heshan Devaka Fernando, Han Shen, Miao Liu, Subhajit Chaudhury, Keerthiram Murugesan, Tianyi Chen

ICLR 2023 OTOv2: Automatic, Generic, User-Friendly Tianyi Chen, Luming Liang, Tianyu Ding, Zhihui Zhu, Ilya Zharkov

ICML 2023 On Penalty-Based Bilevel Gradient Descent Method Han Shen, Tianyi Chen

NeurIPS 2023 Three-Way Trade-Off in Multi-Objective Learning: Optimization, Generalization and Conflict-Avoidance Lisha Chen, Heshan Fernando, Yiming Ying, Tianyi Chen

AISTATS 2022 A Single-Timescale Method for Stochastic Bilevel Optimization Tianyi Chen, Yuejiao Sun, Quan Xiao, Wotao Yin

AISTATS 2022 Is Bayesian Model-Agnostic Meta Learning Better than Model-Agnostic Meta Learning, Provably? Lisha Chen, Tianyi Chen

NeurIPS 2022 A Single-Timescale Analysis for Stochastic Approximation with Multiple Coupled Sequences Han Shen, Tianyi Chen

ECML-PKDD 2022 Algorithmic Tools for Understanding the Motif Structure of Networks Tianyi Chen, Brian Matejek, Michael Mitzenmacher, Charalampos E. Tsourakakis

L4DC 2022 Learning to Coordinate in Multi-Agent Systems: A Coordinated Actor-Critic Algorithm and Finite-Time Guarantees Siliang Zeng, Tianyi Chen, Alfredo Garcia, Mingyi Hong

ICML 2022 Sharp-MAML: Sharpness-Aware Model-Agnostic Meta Learning Momin Abbas, Quan Xiao, Lisha Chen, Pin-Yu Chen, Tianyi Chen

CVPR 2022 SphericGAN: Semi-Supervised Hyper-Spherical Generative Adversarial Networks for Fine-Grained Image Synthesis Tianyi Chen, Yunfei Zhang, Xiaoyang Huo, Si Wu, Yong Xu, Hau San Wong

NeurIPS 2022 Understanding Benign Overfitting in Gradient-Based Meta Learning Lisha Chen, Songtao Lu, Tianyi Chen

AISTATS 2021 CADA: Communication-Adaptive Distributed Adam Tianyi Chen, Ziye Guo, Yuejiao Sun, Wotao Yin

NeurIPS 2021 CAFE: Catastrophic Data Leakage in Vertical Federated Learning Xiao Jin, Pin-Yu Chen, Chia-Yi Hsu, Chia-Mu Yu, Tianyi Chen

NeurIPS 2021 Closing the Gap: Tighter Analysis of Alternating Stochastic Gradient Methods for Bilevel Problems Tianyi Chen, Yuejiao Sun, Wotao Yin

AAAI 2021 Decentralized Policy Gradient Descent Ascent for Safe Multi-Agent Reinforcement Learning Songtao Lu, Kaiqing Zhang, Tianyi Chen, Tamer Basar, Lior Horesh

ACML 2021 Hybrid Estimation for Open-Ended Questions with Early-Age Students’ Block-Based Programming Answers Hao Wu, Tianyi Chen, Xianzhe Luo, Canghong Jin, Yun Zhang, Minghui Wu

CVPR 2021 Mask-Embedded Discriminator with Region-Based Semantic Regularization for Semi-Supervised Class-Conditional Image Synthesis Yi Liu, Xiaoyang Huo, Tianyi Chen, Xiangping Zeng, Si Wu, Zhiwen Yu, Hau-San Wong

NeurIPS 2021 Only Train Once: A One-Shot Neural Network Training and Pruning Framework Tianyi Chen, Bo Ji, Tianyu Ding, Biyi Fang, Guanyi Wang, Zhihui Zhu, Luming Liang, Yixin Shi, Sheng Yi, Xiao Tu

CVPRW 2021 SRKTDN: Applying Super Resolution Method to Dehazing Task Tianyi Chen, Jiahui Fu, Wentao Jiang, Chen Gao, Si Liu

ICCV 2021 Semi-Supervised Single-Stage Controllable GANs for Conditional Fine-Grained Image Generation Tianyi Chen, Yi Liu, Yunfei Zhang, Si Wu, Yong Xu, Feng Liangbing, Hau San Wong

IJCAI 2021 Spatial-Temporal Sequential Hypergraph Network for Crime Prediction with Dynamic Multiplex Relation Learning Lianghao Xia, Chao Huang, Yong Xu, Peng Dai, Liefeng Bo, Xiyue Zhang, Tianyi Chen

ECML-PKDD 2020 Orthant Based Proximal Stochastic Gradient Method for ℓ 1-Regularized Optimization Tianyi Chen, Tianyu Ding, Bo Ji, Guanyi Wang, Yixin Shi, Jing Tian, Sheng Yi, Xiao Tu, Zhihui Zhu

AISTATS 2019 Bandit Online Learning with Unknown Delays Bingcong Li, Tianyi Chen, Georgios B. Giannakis

NeurIPS 2019 Communication-Efficient Distributed Learning via Lazily Aggregated Quantized Gradients Jun Sun, Tianyi Chen, Georgios Giannakis, Zaiyue Yang

ECML-PKDD 2019 Novel Dense Subgraph Discovery Primitives: Risk Aversion and Exclusion Queries Charalampos E. Tsourakakis, Tianyi Chen, Naonori Kakimura, Jakub Pachocki

AAAI 2019 RSA: Byzantine-Robust Stochastic Aggregation Methods for Distributed Learning from Heterogeneous Datasets Liping Li, Wei Xu, Tianyi Chen, Georgios B. Giannakis, Qing Ling

JMLR 2019 Random Feature-Based Online Multi-Kernel Learning in Environments with Unknown Dynamics Yanning Shen, Tianyi Chen, Georgios B. Giannakis

NeurIPS 2018 LAG: Lazily Aggregated Gradient for Communication-Efficient Distributed Learning Tianyi Chen, Georgios Giannakis, Tao Sun, Wotao Yin

AISTATS 2018 Online Ensemble Multi-Kernel Learning Adaptive to Non-Stationary and Adversarial Environments Yanning Shen, Tianyi Chen, Georgios B. Giannakis