60 citations · 121 across the 11 of their papers we have counts for
11 papers
FinStressTS: A Parametric Synthetic Benchmark for Time-Series Forecasting in Finance
Jiaze Sun, Kelvin J. L. Koa, Ruiyang Ni +3
Financial forecasting is difficult due to low signal-to-noise ratios, latent factors, heavy tails, regime shifts, and jumps. Real-world benchmarks offer limited failure attribution…
Fault2Flow: An AlphaEvolve-Optimized Human-in-the-Loop Multi-Agent System for Fault-to-Workflow Automation
Yafang Wang, Yangjie Tian, Xiaoyu Shen +5
Power grid fault diagnosis is a critical process hindered by its reliance on manual, error-prone methods. Technicians must manually extract reasoning logic from dense regulations a…
A Multimodal Foundation Agent for Financial Trading: Tool-Augmented, Diversified, and Generalist
Wentao Zhang, Lingxuan Zhao, Haochong Xia +10
Financial trading is a crucial component of the markets, informed by a multimodal information landscape encompassing news, prices, and Kline charts, and encompasses diverse tasks s…
MAPConNet: Self-supervised 3D Pose Transfer with Mesh and Point Contrastive Learning
Jiaze Sun, Zhixiang Chen, Tae-Kyun Kim
3D pose transfer is a challenging generation task that aims to transfer the pose of a source geometry onto a target geometry with the target identity preserved. Many prior methods…
A BCS-GDE Multi-objective Optimization Algorithm for Combined Cooling, Heating and Power Model with Decision Strategies
Jiaze Sun, Jiahui Deng, Yang Li +1
District energy systems can not only reduce energy consumption but also set energy supply dispatching schemes according to demand. In addition to economic cost, energy consumption…
SeCGAN: Parallel Conditional Generative Adversarial Networks for Face Editing via Semantic Consistency
Jiaze Sun, Binod Bhattarai, Zhixiang Chen +1
Semantically guided conditional Generative Adversarial Networks (cGANs) have become a popular approach for face editing in recent years. However, most existing methods introduce se…
A BCS-GDE Algorithm for Multi-objective Optimization of Combined Cooling, Heating and Power Model
Jiaze Sun, Jiahui Deng, Yang Li +2
District energy systems can not only reduce energy consumption but also set energy supply dispatching schemes according to demand. In this paper, the combined cooling heating and p…
MatchGAN: A Self-Supervised Semi-Supervised Conditional Generative Adversarial Network
Jiaze Sun, Binod Bhattarai, Tae-Kyun Kim
We present a novel self-supervised learning approach for conditional generative adversarial networks (GANs) under a semi-supervised setting. Unlike prior self-supervised approaches…
Indicator & crowding Distance-Based Evolutionary Algorithm for Combined Heat and Power Economic Emission Dispatch
Jiaze Sun, Jiahui Deng, Yang Li
Heat and power have become the most indispensable resources. However, the traditional ways of generating power and heat are inefficient and cause high pollution; a CHP (Combined He…
Enhanced Expressive Power and Fast Training of Neural Networks by Random Projections
Jian-Feng Cai, Dong Li, Jiaze Sun +1
Random projections are able to perform dimension reduction efficiently for datasets with nonlinear low-dimensional structures. One well-known example is that random matrices embed…
Social cognitive optimization with tent map for combined heat and power economic dispatch
Jiaze Sun, Yang Li
Combined heat and power economic dispatch (CHPED) problem is a sophisticated constrained nonlinear optimization problem in a heat and power production system for assigning heat and…