12 citations · 21 across the 8 of their papers we have counts for
10 papers
Symmetry-Preserving Local Representation for Short-Range Interaction in Complex Materials
Hao Cheng, Tong Yang, Hao Wu +6
Modeling short-range interactions in highly disordered materials remains challenging due to the immense configuration space and the disruption of local symmetry in truncated theore…
PII-Bench: Evaluating Query-Aware Privacy Protection Systems
Hao Shen, Zhouhong Gu, Haokai Hong +1
The widespread adoption of Large Language Models (LLMs) has raised significant privacy concerns regarding the exposure of personally identifiable information (PII) in user prompts.…
Accelerating 3D Molecule Generation via Jointly Geometric Optimal Transport
Haokai Hong, Wanyu Lin, Kay Chen Tan
This paper proposes a new 3D molecule generation framework, called GOAT, for fast and effective 3D molecule generation based on the flow-matching optimal transport objective. Speci…
Distributional Priors Guided Diffusion for Generating 3D Molecules in Low Data Regimes
Haokai Hong, Wanyu Lin, Ming Yang +1
Can we train a 3D molecule generator using data from dense regions to generate samples in sparse regions? This challenge can be framed as an out-of-distribution (OOD) generation pr…
Enhancing Generalization and Scalability for Multi-Objective Optimization with Population Pre-Training
Haokai Hong, Liang Feng, Min Jiang +1
Multi-objective optimization problems (MOPs) require the simultaneous optimization of conflicting objectives. Real-world MOPs often exhibit complex characteristics, including high-…
Improving Performance Insensitivity of Large-scale Multiobjective Optimization via Monte Carlo Tree Search
Haokai Hong, Min Jiang, Gary G. Yen
The large-scale multiobjective optimization problem (LSMOP) is characterized by simultaneously optimizing multiple conflicting objectives and involving hundreds of decision variabl…
Efficiently Tackling Million-Dimensional Multiobjective Problems: A Direction Sampling and Fine-Tuning Approach
Haokai Hong, Min Jiang, Qiuzhen Lin +1
We define very large-scale multiobjective optimization problems as optimizing multiple objectives (VLSMOPs) with more than 100,000 decision variables. These problems hold substanti…
Balancing Exploration and Exploitation for Solving Large-scale Multiobjective Optimization via Attention Mechanism
Haokai Hong, Min Jiang, Liang Feng +2
Large-scale multiobjective optimization problems (LSMOPs) refer to optimization problems with multiple conflicting optimization objectives and hundreds or even thousands of decisio…
Solving Large-Scale Multi-Objective Optimization via Probabilistic Prediction Model
Haokai Hong, Kai Ye, Min Jiang +2
The main feature of large-scale multi-objective optimization problems (LSMOP) is to optimize multiple conflicting objectives while considering thousands of decision variables at th…
Manifold Interpolation for Large-Scale Multi-Objective Optimization via Generative Adversarial Networks
Zhenzhong Wang, Haokai Hong, Kai Ye +2
Large-scale multiobjective optimization problems (LSMOPs) are characterized as involving hundreds or even thousands of decision variables and multiple conflicting objectives. An ex…