| 2025 | Trusted Multi-View Classification with Expert Knowledge Constraints. | Xinyan Liang, Shijie Wang, Yuhua Qian, Qian Guo, Liang Du, Bingbing Jiang, Tingjin Luo, Feijiang Li |
| 2025 | Robust Automatic Modulation Classification with Fuzzy Regularization. | Xinyan Liang, Ruijie Sang, Yuhua Qian, Qian Guo, Feijiang Li, Liang Du |
| 2025 | Compositional Generalization via Forced Rendering of Disentangled Latents. | Qiyao Liang, Daoyuan Qian, Liu Ziyin, Ila R. Fiete |
| 2025 | BinauralFlow: A Causal and Streamable Approach for High-Quality Binaural Speech Synthesis with Flow Matching Models. | Susan Liang, Dejan Markovic, Israel D. Gebru, Steven Krenn, Todd Keebler, Jacob Sandakly, Frank Yu, Samuel Hassel, Chenliang Xu, Alexander Richard |
| 2025 | Enhancing Performance of Explainable AI Models with Constrained Concept Refinement. | Geyu Liang, Senne Michielssen, Salar Fattahi |
| 2025 | ML2-GCL: Manifold Learning Inspired Lightweight Graph Contrastive Learning. | Jianqing Liang, Zhiqiang Li, Xinkai Wei, Yuan Liu, Zhiqiang Wang |
| 2025 | Contrastive Learning with Simplicial Convolutional Networks for Short-Text Classification. | Huang Liang, Benedict Lee, Daniel Hui Loong Ng, Kelin Xia |
| 2025 | Achieving Linear Speedup and Near-Optimal Complexity for Decentralized Optimization over Row-stochastic Networks. | Liyuan Liang, Xinyi Chen, Gan Luo, Kun Yuan |
| 2025 | Simultaneous Multi-Robot Motion Planning with Projected Diffusion Models. | Jinhao Liang, Jacob K. Christopher, Sven Koenig, Ferdinando Fioretto |
| 2025 | Mitigating Over-Squashing in Graph Neural Networks by Spectrum-Preserving Sparsification. | Langzhang Liang, Fanchen Bu, Zixing Song, Zenglin Xu, Shirui Pan, Kijung Shin |
| 2025 | ROPO: Robust Preference Optimization for Large Language Models. | Xize Liang, Chao Chen, Shuang Qiu, Jie Wang, Yue Wu, Zhihang Fu, Hanzhu Chen, Feng Wu, Jieping Ye |
| 2025 | Efficient Bisection Projection to Ensure Neural-Network Solution Feasibility for Optimization over General Set. | Enming Liang, Minghua Chen |
| 2025 | Does Low Rank Adaptation Lead to Lower Robustness against Training-Time Attacks? | Zi Liang, Haibo Hu, Qingqing Ye, Yaxin Xiao, Ronghua Li |
| 2025 | Boosting Multi-Domain Fine-Tuning of Large Language Models through Evolving Interactions between Samples. | Xize Liang, Lin Yang, Jie Wang, Yiyang Lu, Runyu Wu, Hanzhu Chen, Jianye Hao |
| 2025 | COKE: Core Kernel for More Efficient Approximation of Kernel Weights in Multiple Kernel Clustering. | Weixuan Liang, Xinwang Liu, Ke Liang, Jiyuan Liu, En Zhu |
| 2025 | Synonymous Variational Inference for Perceptual Image Compression. | Zijian Liang, Kai Niu, Changshuo Wang, Jin Xu, Ping Zhang |
| 2025 | Policy Guided Tree Search for Enhanced LLM Reasoning. | Yang Li |
| 2025 | Instruct2See: Learning to Remove Any Obstructions Across Distributions. | Junhang Li, Yu Guo, Chuhua Xian, Shengfeng He |
| 2025 | Solving Satisfiability Modulo Counting Exactly with Probabilistic Circuits. | Jinzhao Li, Nan Jiang, Yexiang Xue |
| 2025 | Data Mixing Optimization for Supervised Fine-Tuning of Large Language Models. | Yuan Li, Zhengzhong Liu, Eric P. Xing |
| 2025 | Understanding Nonlinear Implicit Bias via Region Counts in Input Space. | Jingwei Li, Jing Xu, Zifan Wang, Huishuai Zhang, Jingzhao Zhang |
| 2025 | Taming Knowledge Conflicts in Language Models. | Gaotang Li, Yuzhong Chen, Hanghang Tong |
| 2025 | RobustZero: Enhancing MuZero Reinforcement Learning Robustness to State Perturbations. | Yushuai Li, Hengyu Liu, Torben Bach Pedersen, Yuqiang He, Kim Guldstrand Larsen, Lu Chen, Christian S. Jensen, Jiachen Xu, Tianyi Li |
| 2025 | Closed-Loop Long-Horizon Robotic Planning via Equilibrium Sequence Modeling. | Jinghan Li, Zhicheng Sun, Yadong Mu |
| 2025 | KVTuner: Sensitivity-Aware Layer-Wise Mixed-Precision KV Cache Quantization for Efficient and Nearly Lossless LLM Inference. | Xing Li, Zeyu Xing, Yiming Li, Linping Qu, Hui-Ling Zhen, Yiwu Yao, Wulong Liu, Sinno Jialin Pan, Mingxuan Yuan |