Xiang, Yang

31 publications

IJCAI 2025 A Survey on the Feedback Mechanism of LLM-Based AI Agents Zhipeng Liu, Xuefeng Bai, Kehai Chen, Xinyang Chen, Xiucheng Li, Yang Xiang, Jin Liu, Hong-Dong Li, Yaowei Wang, Liqiang Nie, Min Zhang

ICLR 2025 Beware of Calibration Data for Pruning Large Language Models Yixin Ji, Yang Xiang, Juntao Li, Qingrong Xia, Ping Li, Xinyu Duan, Zhefeng Wang, Min Zhang

WACV 2025 ElasticLaneNet: An Efficient Geometry-Flexible Lane Detection Framework Yaxin Feng, Yuan Lan, Luchan Zhang, Yang Xiang

NeurIPS 2025 Exploring the Translation Mechanism of Large Language Models Hongbin Zhang, Kehai Chen, Xuefeng Bai, Xiucheng Li, Yang Xiang, Min Zhang

ICML 2025 Learn Singularly Perturbed Solutions via Homotopy Dynamics Chuqi Chen, Yahong Yang, Yang Xiang, Wenrui Hao

MLJ 2025 Reinforced Logical Reasoning over KGs for Interpretable Recommendation System Shirui Wang, Bohan Xie, Ling Ding, Jianting Chen, Yang Xiang

NeurIPS 2025 Towards a Golden Classifier-Free Guidance Path via Foresight Fixed Point Iterations Kaibo Wang, Jianda Mao, Tong Wu, Yang Xiang

NeurIPS 2024 DiffHammer: Rethinking the Robustness of Diffusion-Based Adversarial Purification Kaibo Wang, Xiaowen Fu, Yuxuan Han, Yang Xiang

NeurIPS 2024 Ensemble Learning for Heterogeneous Large Language Models with Deep Parallel Collaboration Yichong Huang, Xiaocheng Feng, Baohang Li, Yang Xiang, Hui Wang, Ting Liu, Bing Qin

AAAI 2024 FG-EmoTalk: Talking Head Video Generation with Fine-Grained Controllable Facial Expressions Zhaoxu Sun, Yuze Xuan, Fang Liu, Yang Xiang

AISTATS 2024 RL in Markov Games with Independent Function Approximation: Improved Sample Complexity Bound Under the Local Access Model Junyi Fan, Yuxuan Han, Jialin Zeng, Jian-Feng Cai, Yang Wang, Yang Xiang, Jiheng Zhang

AAAI 2024 ZO-AdaMU Optimizer: Adapting Perturbation by the Momentum and Uncertainty in Zeroth-Order Optimization Shuoran Jiang, Qingcai Chen, Youcheng Pan, Yang Xiang, Yukang Lin, Xiangping Wu, Chuanyi Liu, Xiaobao Song

NeurIPS 2023 Nearly Optimal VC-Dimension and Pseudo-Dimension Bounds for Deep Neural Network Derivatives Yahong Yang, Haizhao Yang, Yang Xiang

AISTATS 2023 Optimal Contextual Bandits with Knapsacks Under Realizability via Regression Oracles Yuxuan Han, Jialin Zeng, Yang Wang, Yang Xiang, Jiheng Zhang

ICLRW 2023 PF-ABGen: A Reliable and Efficient Antibody Generator via Poisson Flow Chutian Huang, Zijing Liu, Shengyuan Bai, Linwei Zhang, Chencheng Xu, Zhe Wang, Yang Xiang, Yuanpeng Xiong

MIDL 2023 Regularizing Brain Age Prediction via Gated Knowledge Distillation Yanwu Yang, Guo Xutao, Chenfei Ye, Yang Xiang, Ting Ma

IJCAI 2022 Enhancing Entity Representations with Prompt Learning for Biomedical Entity Linking Tiantian Zhu, Yang Qin, Qingcai Chen, Baotian Hu, Yang Xiang

IJCAI 2019 A Quantitative Analysis Platform for PD-L1 Immunohistochemistry Based on Point-Level Supervision Model Haibo Mi, Kele Xu, Yang Xiang, Yulin He, Dawei Feng, Huaimin Wang, Chun Wu, Yanming Song, Xiaolei Sun

PGM 2018 Privacy Sensitive Construction of Junction Tree Agent Organization for Multiagent Graphical Models Yang Xiang, Abdulrahman Alshememry

ECML-PKDD 2017 Wikipedia Vandal Early Detection: From User Behavior to User Embedding Shuhan Yuan, Panpan Zheng, Xintao Wu, Yang Xiang

PGM 2016 Compressing Bayes Net CPTs with Persistent Leaky Causes Yang Xiang, Qian Jiang

AAAI 2012 Towards Automated Choreographing of Web Services Using Planning Guobing Zou, Yixin Chen, You Xu, Ruoyun Huang, Yang Xiang

MLJ 2006 Learning Decomposable Markov Networks in Pseudo-Independent Domains with Local Evaluation Yang Xiang, J. Lee

CVPR 2005 A New Active Contour Method Based on Elastic Interaction Yang Xiang, Albert C. S. Chung, Jian Ye

MLJ 1997 A "Microscopic" Study of Minimum Entropy Search in Learning Decomposable Markov Networks Yang Xiang, S. K. Michael Wong, Nick Cercone

UAI 1997 Exploring Parallelism in Learning Belief Networks Tongsheng Chu, Yang Xiang

UAI 1997 Learning Belief Networks in Domains with Recursively Embedded Pseudo Independent Submodels Jun Hu, Yang Xiang

UAI 1996 Critical Remarks on Single Link Search in Learning Belief Networks Yang Xiang, S. K. Michael Wong, Nick Cercone

UAI 1995 A Method for Implementing a Probabilistic Model as a Relational Database S. K. Michael Wong, Cory J. Butz, Yang Xiang

UAI 1995 Optimization of Inter-Subnet Belief Updating in Multiply Sectioned Bayesian Networks Yang Xiang

UAI 1992 Exploring Localization in Bayesian Networks for Large Expert Systems Yang Xiang, David Poole, Michael P. Beddoes