Kaiwen Zhou

A²Flow: Automating Agentic Workflow Generation via Self-Adaptive Abstraction Operators AAAI 2026 A Unified Perspective on Adversarial Membership Manipulation in Vision Models CVPR 2026 Boosting Cross-problem Generalization in Diffusion-Based Neural Combinatorial Solver via Inference Time Adaptation AAAI 2026 HATS: Hardness-Aware Trajectory Synthesis for GUI Agents CVPR 2026 HiconAgent: History Context-aware Policy Optimization for GUI Agents CVPR 2026 SemanticVLA: Semantic-Aligned Sparsification and Enhancement for Efficient Robotic Manipulation AAAI 2026 SIRAJ: Diverse and Efficient Red-Teaming for LLM Agents via Distilled Structured Reasoning EACL 2026 FALCON: Resolving Visual Redundancy and Fragmentation in High-resolution Multimodal Large Language Models via Visual Registers ICCV 2025 GUI-explorer: Autonomous Exploration and Mining of Transition-aware Knowledge for GUI Agent ACL 2025 Less is More: Empowering GUI Agent with Context-Aware Simplification ICCV 2025 Multimodal Situational Safety ICLR 2025 SafeKey: Amplifying Aha-Moment Insights for Safety Reasoning EMNLP 2025 SPA-BENCH: A COMPREHENSIVE BENCHMARK FOR SMARTPHONE AGENT EVALUATION ICLR 2025 The Hidden Risks of Large Reasoning Models: A Safety Assessment of R1 IJCNLP 2025 Enhancing Evolving Domain Generalization through Dynamic Latent Representations AAAI 2024 Enhancing Neural Subset Selection: Integrating Background Information into Set Representations ICLR 2024 HORSE: Hierarchical Representation for Large-Scale Neural Subset Selection NeurIPS 2024 Muffin or Chihuahua? Challenging Multimodal Large Language Models with Multipanel VQA ACL 2024 Navigation as Attackers Wish? Towards Building Robust Embodied Agents under Federated Learning NAACL 2024 RestoreAgent: Autonomous Image Restoration Agent via Multimodal Large Language Models NeurIPS 2024 ViCor: Bridging Visual Understanding and Commonsense Reasoning with Large Language Models ACL 2024 Does Invariant Graph Learning via Environment Augmentation Learn Invariance? NeurIPS 2023 ESC: Exploration with Soft Commonsense Constraints for Zero-shot Object Navigation ICML 2023 Pareto Invariant Risk Minimization: Towards Mitigating the Optimization Dilemma in Out-of-Distribution Generalization ICLR 2023 Understanding and Improving Feature Learning for Out-of-Distribution Generalization NeurIPS 2023 Fast and Reliable Evaluation of Adversarial Robustness with Minimum-Margin Attack ICML 2022 FedVLN: Privacy-Preserving Federated Vision-and-Language Navigation ECCV 2022 On the Finite-Time Complexity and Practical Computation of Approximate Stationarity Concepts of Lipschitz Functions ICML 2022 Practical Schemes for Finding Near-Stationary Points of Convex Finite-Sums AISTATS 2022 Amortized Nesterov’s Momentum: A Robust Momentum and Its Application to Deep Learning UAI 2020 Boosting First-Order Methods by Shifting Objective: New Schemes with Faster Worst-Case Rates NeurIPS 2020 Tight Convergence Rate of Gradient Descent for Eigenvalue Computation IJCAI 2020 Direct Acceleration of SAGA using Sampled Negative Momentum AISTATS 2019 A Simple Stochastic Variance Reduced Algorithm with Fast Convergence Rates ICML 2018 ASVRG: Accelerated Proximal SVRG ACML 2018 Guaranteed Sufficient Decrease for Stochastic Variance Reduced Gradient Optimization AISTATS 2018