Liu, Xi

20 publications

ICCV 2025 ARIG: Autoregressive Interactive Head Generation for Real-Time Conversations Ying Guo, Xi Liu, Cheng Zhen, Pengfei Yan, Xiaoming Wei

NeurIPS 2025 Bézier Splatting for Fast and Differentiable Vector Graphics Rendering Xi Liu, Chaoyi Zhou, Nanxuan Zhao, Siyu Huang

ICLR 2025 Latent Radiance Fields with 3D-Aware 2D Representations Chaoyi Zhou, Xi Liu, Feng Luo, Siyu Huang

ICLRW 2025 Learning from Diverse Experts: Behavior Alignment Through Multi-Objective Inverse Reinforcement Learning Jun-Jie Yang, Qian-You Zhang, Chia-Heng Hsu, Xi Liu, Ping-Chun Hsieh

NeurIPS 2024 3DGS-Enhancer: Enhancing Unbounded 3D Gaussian Splatting with View-Consistent 2D Diffusion Priors Xi Liu, Chaoyi Zhou, Siyu Huang

CVPR 2024 CustomListener: Text-Guided Responsive Interaction for User-Friendly Listening Head Generation Xi Liu, Ying Guo, Cheng Zhen, Tong Li, Yingying Ao, Pengfei Yan

ICMLW 2024 Survive on Planet Pandora: Robust Cross-Domain RL Under Distinct State-Action Representations Kuan-Chen Pan, MingHong Chen, Xi Liu, Ping-Chun Hsieh

ICML 2024 Wukong: Towards a Scaling Law for Large-Scale Recommendation Buyun Zhang, Liang Luo, Yuxin Chen, Jade Nie, Xi Liu, Shen Li, Yanli Zhao, Yuchen Hao, Yantao Yao, Ellie Dingqiao Wen, Jongsoo Park, Maxim Naumov, Wenlin Chen

ICCV 2023 AccFlow: Backward Accumulation for Long-Range Optical Flow Guangyang Wu, Xiaohong Liu, Kunming Luo, Xi Liu, Qingqing Zheng, Shuaicheng Liu, Xinyang Jiang, Guangtao Zhai, Wenyi Wang

AISTATS 2023 Coordinate Ascent for Off-Policy RL with Global Convergence Guarantees Hsin-En Su, Yen-Ju Chen, Ping-Chun Hsieh, Xi Liu

ICLR 2023 Q-Pensieve: Boosting Sample Efficiency of Multi-Objective RL Through Memory Sharing of Q-Snapshots Wei Hung, Bo Kai Huang, Ping-Chun Hsieh, Xi Liu

NeurIPS 2022 Learning from Few Samples: Transformation-Invariant SVMs with Composition and Locality at Multiple Scales Tao Liu, P. R. Kumar, Ruida Zhou, Xi Liu

UAI 2021 Escaping from Zero Gradient: Revisiting Action-Constrained Reinforcement Learning via Frank-Wolfe Policy Optimization Jyun-Li Lin, Wei Hung, Shang-Hsuan Yang, Ping-Chun Hsieh, Xi Liu

NeurIPS 2021 Reinforced Few-Shot Acquisition Function Learning for Bayesian Optimization Bing-Jing Hsieh, Ping-Chun Hsieh, Xi Liu

L4DC 2021 Reward Biased Maximum Likelihood Estimation for Reinforcement Learning Akshay Mete, Rahul Singh, Xi Liu, P. R. Kumar

AAAI 2021 Reward-Biased Maximum Likelihood Estimation for Linear Stochastic Bandits Yu-Heng Hung, Ping-Chun Hsieh, Xi Liu, P. R. Kumar

CVPRW 2020 An Accurate Segmentation-Based Scene Text Detector with Context Attention and Repulsive Text Border Xi Liu, Gaojing Zhou, Rui Zhang, Xiaolin Wei

ICML 2020 Exploration Through Reward Biasing: Reward-Biased Maximum Likelihood Estimation for Stochastic Multi-Armed Bandits Xi Liu, Ping-Chun Hsieh, Yu Heng Hung, Anirban Bhattacharya, P. Kumar

ICML 2019 Stay with Me: Lifetime Maximization Through Heteroscedastic Linear Bandits with Reneging Ping-Chun Hsieh, Xi Liu, Anirban Bhattacharya, P R Kumar

IJCAI 2018 MUSCAT: Multi-Scale Spatio-Temporal Learning with Application to Climate Modeling Jianpeng Xu, Xi Liu, Tyler Wilson, Pang-Ning Tan, Pouyan Hatami, Lifeng Luo