Liu, Jia

49 publications

ICLR 2025 DUET: Decentralized Bilevel Optimization Without Lower-Level Strong Convexity Zhen Qin, Zhuqing Liu, Songtao Lu, Yingbin Liang, Jia Liu

ICML 2025 Differentiable Quadratic Optimization for the Maximum Independent Set Problem Ismail Alkhouri, Cedric Le Denmat, Yingjie Li, Cunxi Yu, Jia Liu, Rongrong Wang, Alvaro Velasquez

UAI 2025 Divide and Orthogonalize: Efficient Continual Learning with Local Model Space Projection Jin Shang, Simone Shao, Tian Tong, Fan Yang, Yetian Chen, Yang Jiao, Jia Liu, Yan Gao

ICML 2025 FSL-SAGE: Accelerating Federated Split Learning via Smashed Activation Gradient Estimation Srijith Nair, Michael Lin, Peizhong Ju, Amirreza Talebi, Elizabeth Serena Bentley, Jia Liu

ICML 2025 Finite-Time Global Optimality Convergence in Deep Neural Actor-Critic Methods for Decentralized Multi-Agent Reinforcement Learning Zhiyao Zhang, Myeung Suk Oh, Fnu Hairi, Ziyue Luo, Alvaro Velasquez, Jia Liu

AAAI 2025 In-Dataset Trajectory Return Regularization for Offline Preference-Based Reinforcement Learning Songjun Tu, Jingbo Sun, Qichao Zhang, Yaocheng Zhang, Jia Liu, Ke Chen, Dongbin Zhao

AAAI 2025 Learning Complexity of Gradient Descent and Conjugate Gradient Algorithms Xianqi Jiao, Jia Liu, Zhiping Chen

ICML 2025 Look Twice Before You Answer: Memory-Space Visual Retracing for Hallucination Mitigation in Multimodal Large Language Models Xin Zou, Yizhou Wang, Yibo Yan, Yuanhuiyi Lyu, Kening Zheng, Sirui Huang, Junkai Chen, Peijie Jiang, Jia Liu, Chang Tang, Xuming Hu

CVPRW 2025 NTIRE 2025 XGC Quality Assessment Challenge: Methods and Results Xiaohong Liu, Xiongkuo Min, Qiang Hu, Xiaoyun Zhang, Jie Guo, Guangtao Zhai, Shushi Wang, Yingjie Zhou, Lu Liu, Jingxin Li, Liu Yang, Farong Wen, Li Xu, Yanwei Jiang, Xilei Zhu, Chunyi Li, Zicheng Zhang, Huiyu Duan, Xiele Wu, Yixuan Gao, Yuqin Cao, Jun Jia, Wei Sun, Jiezhang Cao, Radu Timofte, Baojun Li, Jiamian Huang, Dan Luo, Tao Liu, Weixia Zhang, Bingkun Zheng, Junlin Chen, Ruikai Zhou, Meiya Chen, Yu Wang, Hao Jiang, Xiantao Li, Yuxiang Jiang, Jun Tang, Yimeng Zhao, Bo Hu, Zelu Qi, Chaoyang Zhang, Fei Zhao, Ping Shi, Lingzhi Fu, Heng Cong, Shuai He, Rongyu Zhang, Jiarong He, Zongyao Hu, Wei Luo, Zihao Yu, Fengbin Guan, Yiting Lu, Xin Li, Zhibo Chen, Mengjing Su, Yi Wang, Tuo Chen, Chunxiao Li, Shuaiyu Zhao, Jiaxin Wen, Chuyi Lin, Sitong Liu, Ningxin Chu, Jing Wan, Yu Zhou, Baoying Chen, Jishen Zeng, Jiarui Liu, Xianjin Liu, Xin Chen, Lanzhi Zhou, Hangyu Li, You Han, Bibo Xiang, Zhenjie Liu, Jianzhang Lu, Jialin Gui, Renjie Lu, Shangfei Wang, Donghao Zhou, Jingyu Lin, Quanjian Song, Jiancheng Huang, Yufeng Yang, Changwei Wang, Shupeng Zhong, Yang Yang, Lihuo He, Jia Liu, Yuting Xing, Tida Fang, Yuchun Jin

AAAI 2025 PSMGD: Periodic Stochastic Multi-Gradient Descent for Fast Multi-Objective Optimization Mingjing Xu, Peizhong Ju, Jia Liu, Haibo Yang

UAI 2025 STIMULUS: Achieving Fast Convergence and Low Sample Complexity in Stochastic Multi-Objective Learning Zhuqing Liu, Chaosheng Dong, Michinari Momma, Simone Shao, Shaoyuan Xu, Yan Gao, Haibo Yang, Jia Liu

AAAI 2025 Towards a Multimodal Large Language Model with Pixel-Level Insight for Biomedicine Xiaoshuang Huang, Lingdong Shen, Jia Liu, Fangxin Shang, Hongxiang Li, Haifeng Huang, Yehui Yang

ICCV 2025 Ultra High-Resolution Image Inpainting with Patch-Based Content Consistency Adapter Jianhui Zhang, Shen Cheng, Qirui Sun, Jia Liu, Wang Luyang, Chaoyu Feng, Chen Fang, Lei Lei, Jue Wang, Shuaicheng Liu

AAAI 2024 DrFuse: Learning Disentangled Representation for Clinical Multi-Modal Fusion with Missing Modality and Modal Inconsistency Wenfang Yao, Kejing Yin, William K. Cheung, Jia Liu, Jing Qin

ICML 2024 Finite-Time Convergence and Sample Complexity of Actor-Critic Multi-Objective Reinforcement Learning Tianchen Zhou, Fnu Hairi, Haibo Yang, Jia Liu, Tian Tong, Fan Yang, Michinari Momma, Yan Gao

ICLR 2024 Multi-Granularity Correspondence Learning from Long-Term Noisy Videos Yijie Lin, Jie Zhang, Zhenyu Huang, Jia Liu, Zujie Wen, Xi Peng

ICLR 2024 PILOT: An $\mathcal{O}(1/K)$-Convergent Approach for Policy Evaluation with Nonlinear Function Approximation Zhuqing Liu, Xin Zhang, Jia Liu, Zhengyuan Zhu, Songtao Lu

AAAI 2024 SpectralNeRF: Physically Based Spectral Rendering with Neural Radiance Field Ru Li, Jia Liu, Guanghui Liu, Shengping Zhang, Bing Zeng, Shuaicheng Liu

ICML 2024 Understanding Server-Assisted Federated Learning in the Presence of Incomplete Client Participation Haibo Yang, Peiwen Qiu, Prashant Khanduri, Minghong Fang, Jia Liu

NeurIPS 2023 Federated Multi-Objective Learning Haibo Yang, Zhuqing Liu, Jia Liu, Chaosheng Dong, Michinari Momma

ICML 2023 Linearly Constrained Bilevel Optimization: A Smoothed Implicit Gradient Approach Prashant Khanduri, Ioannis Tsaknakis, Yihua Zhang, Jia Liu, Sijia Liu, Jiawei Zhang, Mingyi Hong

ICML 2023 Prometheus: Taming Sample and Communication Complexities in Constrained Decentralized Stochastic Bilevel Learning Zhuqing Liu, Xin Zhang, Prashant Khanduri, Songtao Lu, Jia Liu

AAAI 2023 Robust Domain Adaptation for Machine Reading Comprehension Liang Jiang, Zhenyu Huang, Jia Liu, Zujie Wen, Xi Peng

ICLR 2022 A Global Convergence Theory for Deep ReLU Implicit Networks via Over-Parameterization Tianxiang Gao, Hailiang Liu, Jia Liu, Hridesh Rajan, Hongyang Gao

ICML 2022 A Multi-Objective / Multi-Task Learning Framework Induced by Pareto Stationarity Michinari Momma, Chaosheng Dong, Jia Liu

NeurIPS 2022 A Stochastic Linearized Augmented Lagrangian Method for Decentralized Bilevel Optimization Songtao Lu, Siliang Zeng, Xiaodong Cui, Mark Squillante, Lior Horesh, Brian Kingsbury, Jia Liu, Mingyi Hong

ICML 2022 Anarchic Federated Learning Haibo Yang, Xin Zhang, Prashant Khanduri, Jia Liu

ICLR 2022 Bandit Learning with Joint Effect of Incentivized Sampling, Delayed Sampling Feedback, and Self-Reinforcing User Preferences Tianchen Zhou, Jia Liu, Chaosheng Dong, Yi Sun

CVPR 2022 CamLiFlow: Bidirectional Camera-LiDAR Fusion for Joint Optical Flow and Scene Flow Estimation Haisong Liu, Tao Lu, Yihui Xu, Jia Liu, Wenjie Li, Lijun Chen

ICLR 2022 Decentralized Learning for Overparameterized Problems: A Multi-Agent Kernel Approximation Approach Prashant Khanduri, Haibo Yang, Mingyi Hong, Jia Liu, Hoi To Wai, Sijia Liu

ICLR 2022 Finite-Time Convergence and Sample Complexity of Multi-Agent Actor-Critic Reinforcement Learning with Average Reward Fnu Hairi, Jia Liu, Songtao Lu

UAI 2022 PDQ-Net: Deep Probabilistic Dual Quaternion Network for Absolute Pose Regression on $SE(3)$ Wenjie Li, Wasif Naeem, Jia Liu, Dequan Zheng, Wei Hao, Lijun Chen

NeurIPS 2022 SAGDA: Achieving $\mathcal{O}(\epsilon^{-2})$ Communication Complexity in Federated Min-Max Learning Haibo Yang, Zhuqing Liu, Xin Zhang, Jia Liu

NeurIPS 2022 Taming Fat-Tailed (“Heavier-Tailed” with Potentially Infinite Variance) Noise in Federated Learning Haibo Yang, Peiwen Qiu, Jia Liu

NeurIPSW 2022 With a Little Help from My Friend: Server-Aided Federated Learning with Partial Client Participation Haibo Yang, Peiwen Qiu, Prashant Khanduri, Jia Liu

ICLR 2021 Achieving Linear Speedup with Partial Worker Participation in Non-IID Federated Learning Haibo Yang, Minghong Fang, Jia Liu

AAAI 2021 IFDDS: An Anti-Fraud Outbound Robot Zihao Wang, Minghui Yang, Chunxiang Jin, Jia Liu, Zujie Wen, Saishuai Liu, Zhe Zhang

ICML 2021 Incentivized Bandit Learning with Self-Reinforcing User Preferences Tianchen Zhou, Jia Liu, Chaosheng Dong, Jingyuan Deng

NeurIPS 2021 STEM: A Stochastic Two-Sided Momentum Algorithm Achieving Near-Optimal Sample and Communication Complexities for Federated Learning Prashant Khanduri, Pranay Sharma, Haibo Yang, Mingyi Hong, Jia Liu, Ketan Rajawat, Pramod Varshney

NeurIPS 2021 Sample Complexity Bounds for Active Ranking from Multi-Wise Comparisons Wenbo Ren, Jia Liu, Ness Shroff

NeurIPS 2021 Taming Communication and Sample Complexities in Decentralized Policy Evaluation for Cooperative Multi-Agent Reinforcement Learning Xin Zhang, Zhuqing Liu, Jia Liu, Zhengyuan Zhu, Songtao Lu

NeurIPS 2020 Overfitting Can Be Harmless for Basis Pursuit, but Only to a Degree Peizhong Ju, Xiaojun Lin, Jia Liu

ICML 2020 The Sample Complexity of Best-$k$ Items Selection from Pairwise Comparisons Wenbo Ren, Jia Liu, Ness Shroff

IJCAI 2020 Two-Stage Behavior Cloning for Spoken Dialogue System in Debt Collection Zihao Wang, Jia Liu, Hengbin Cui, Chunxiang Jin, Minghui Yang, Yafang Wang, Xiaolong Li, Renxin Mao

AISTATS 2019 Exploring $k$ Out of Top $ρ$ Fraction of Arms in Stochastic Bandits Wenbo Ren, Jia Liu, Ness B. Shroff

NeurIPS 2019 On Sample Complexity Upper and Lower Bounds for Exact Ranking from Noisy Comparisons Wenbo Ren, Jia Liu, Ness Shroff

IJCAI 2017 DRLnet: Deep Difference Representation Learning Network and an Unsupervised Optimization Framework Puzhao Zhang, Maoguo Gong, Hui Zhang, Jia Liu

IJCAI 2017 Modeling Hebb Learning Rule for Unsupervised Learning Jia Liu, Maoguo Gong, Qiguang Miao

AAAI 2017 Neuron Learning Machine for Representation Learning Jia Liu, Maoguo Gong, Qiguang Miao