Papers
Inverse Optimal Transport for Efficient Adaptation of Vision-Language Models
Shupeng Qiu, Chuan-Xian Ren
LPPG-RL: Lexicographically Projected Policy Gradient Reinforcement Learning with Subproblem Exploration
Ruiyu Qiu, Rui Wang, Guanghui Yang et al.
Decentralized Online Convex Optimization with Unknown Feedback Delays
Hao Qiu, Mengxiao Zhang, Juliette Achddou
Parameter Merging with Gradient-Guided Supermasks in Online Continual Learning
Benliu Qiu, Heqian Qiu, Lanxiao Wang et al.
Head-Aware KV Cache Compression for Efficient Visual Autoregressive Modeling
Ziran Qin, Youru Lv, Mingbao Lin et al.
HumanSense: From Multimodal Perception to Empathetic Context-Aware Responses Through Reasoning MLLMs
Zheng Qin, Ruobing Zheng, Yabing Wang et al.
Robust Semi-paired Multimodal Learning for Cross-modal Retrieval
Yang Qin, Yuan Sun, Xi Peng et al.
Multi-view Learning via Trusted Pairwise Entity Energy
Yalan Qin, Guorui Feng, Xinpeng Zhang
Beyond Missing Data Imputation: Information-Theoretic Coupling of Missingness and Class Imbalance for Optimal Irregular Time Series Classification
Xin Qin, Mengna Liu, Wenjie Wang et al.
Beyond Binary Erasure: Soft-Weighted Unlearning for Fairness and Robustness
Xinbao Qiao, Ningning Ding, Yushi Cheng et al.
CR³: Boosting Compositional Reasoning in MLLMs Through Rule-Based Reinforcement Learning
Shun Qian, Bingquan Liu, Chengjie Sun et al.
Full-Atom Peptide Design via Riemannian–Euclidean Bayesian Flow Networks
Hao Qian, Shikui Tu, Lei Xu
Next Generation Active Learning: Mixture of LLMs in the Loop
Yuanyuan Qi, Xiaohao Yang, Jueqing Lu et al.
Continuous Vision-Language-Action Co-Learning with Semantic-Physical Alignment for Behavioral Cloning
Xiuxiu Qi, Yu Yang, Jiannong Cao et al.
Revisiting the Data Sampling in Multimodal Post-training from a Difficulty-Distinguish View
Jianyu Qi, Ding Zou, Wenrui Yan et al.
CoCo-MILP: Inter-Variable Contrastive and Intra-Constraint Competitive MILP Solution Prediction
Tianle Pu, Jianing Li, Yingying Gao et al.
Graph Contrastive Learning with Balanced Hard Negatives and Fine-grained Semantic-aware Positives
Hongshan Pu, Haoxu Zhang, Ye Liu et al.
Learning Fair Representations with Kolmogorov-Arnold Networks
Amisha Priyadarshini, Sergio Gago-Masague
Online Multi-LLM Selection via Contextual Bandits Under Unstructured Context Evolution
Manhin Poon, Xiangxiang Dai, Xutong Liu et al.
On Stealing Graph Neural Network Models
Marcin Podhajski, Jan Dubiński, Franziska Boenisch et al.
ReBoot: Encrypted Training of Deep Neural Networks with CKKS Bootstrapping
Alberto Pirillo, Luca Colombo
A Novel Sliced Fused Gromov-Wasserstein Distance
Moritz Piening, Robert Beinert
Surrogate as Teacher: Distillation-Guided Graph Poisoning Attack
Xingyu Peng, Ke Xu
Semantic-Consistent Bidirectional Contrastive Hashing for Noisy Multi-Label Cross-Modal Retrieval
Likang Peng, Chao Su, Wenyuan Wu et al.
What Makes a Good Generated Image? Investigating Human and Multimodal LLM Image Preference Alignment
Rishab Parthasarathy, Jasmine Collins, Cory Stephenson