Bin Hu
48 papers · 2017–2026 · 16 venues · across top CS/AI venues
This profile combines several different researchers. Authors are keyed by name, and this name's papers fall into 23 separate collaboration groups - the largest holds only 29% of them. Pick the group below that matches the researcher you mean. How a shared name is split.
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Which Bin Hu?
8 groups of papers that share co-authors internally but none with each other - each most likely a different researcher. Pick one to see its papers.
with Alexandre Araujo, Aaron J Havens, Huan Zhang
14 papers
· 2017–2025
· ICLR, NeurIPS, ICML
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Adjoint Sampling: Highly Scalable Diffusion Samplers via Adjoint Matching
ICML 2025
DynaMath: A Dynamic Visual Benchmark for Evaluating Mathematical Reasoning Robustness of Vision Language Models
ICLR 2025
Neural Contraction Metrics with Formal Guarantees for Discrete-Time Nonlinear Dynamical Systems
L4DC 2025
COLD-Attack: Jailbreaking LLMs with Stealthiness and Controllability
ICML 2024
Fine-grained Local Sensitivity Analysis of Standard Dot-Product Self-Attention
ICML 2024
Novel Quadratic Constraints for Extending LipSDP beyond Slope-Restricted Activations
ICLR 2024
On the Scalability and Memory Efficiency of Semidefinite Programs for Lipschitz Constant Estimation of Neural Networks
ICLR 2024
A Unified Algebraic Perspective on Lipschitz Neural Networks
ICLR 2023
Complexity of Derivative-Free Policy Optimization for Structured H_∞ Control
NeurIPS 2023
Diffusion-Based Adversarial Sample Generation for Improved Stealthiness and Controllability
NeurIPS 2023
Exploiting Connections between Lipschitz Structures for Certifiably Robust Deep Equilibrium Models
NeurIPS 2023
Global Convergence of Direct Policy Search for State-Feedback H_∞ Robust Control: A Revisit of Nonsmooth Synthesis with Goldstein Subdifferential
NeurIPS 2022
Policy Learning of MDPs with Mixed Continuous/Discrete Variables: A Case Study on Model-Free Control of Markovian Jump Systems
L4DC 2020
A Unified Analysis of Stochastic Optimization Methods Using Jump System Theory and Quadratic Constraints
COLT 2017
15 papers whose co-authors appear nowhere else under this name
EvoSpark: Endogenous Interactive Agent Societies for Unified Long-Horizon Narrative Evolution
ACL 2026
PUPPET: Neural-Symbolic Standardized Patients for Mental Health
ACL 2026
SOLAR: Switchable Output Layer for Accuracy and Robustness in Once-for-All Training
WACV 2026
Venom: Liquid Diffusion-Guided Gradient Inversion for Breaking Differential Privacy in Federated Learning
AAAI 2026
External Memory Matters: Generalizable Object-Action Memory for Retrieval-Augmented Long-Term Video Understanding
IJCAI 2025
PhysDiff: Physiology-based Dynamicity Disentangled Diffusion Model for Remote Physiological Measurement
AAAI 2025
Focus Stacking with High Fidelity and Superior Visual Effects
AAAI 2024
NN-Defined Modulator: Reconfigurable and Portable Software Modulator on IoT Gateways
NSDI 2024
Structural Information Enhanced Graph Representation for Link Prediction
AAAI 2024
JAMFN: Joint Attention Multi-Scale Fusion Network for Depression Detection
Interspeech 2023
Provable Acceleration of Heavy Ball beyond Quadratics for a Class of Polyak-Lojasiewicz Functions when the Non-Convexity is Averaged-Out
ICML 2022
Weakly-Supervised Instance Segmentation via Class-Agnostic Learning With Salient Images
CVPR 2021
Characterizing the Exact Behaviors of Temporal Difference Learning Algorithms Using Markov Jump Linear System Theory
NeurIPS 2019
Learning Intrinsic Sparse Structures within Long Short-Term Memory
ICLR 2018
A Joint Intrinsic-Extrinsic Prior Model for Retinex
ICCV 2017