papers

Publications (18)

physics.chem-ph2023

Intermolecular CT excitons enable nanosecond excited-state lifetimes in NIR-absorbing non-fullerene acceptors for efficient organic solar cells

Xian-Kai Chen, Christopher C. S. Chan, Sudhi Mahadevan +8

State-of-the-art Y6-type molecular acceptors exhibit nanosecond excited-state lifetimes despite their low optical gaps (~1.4 eV), thus allowing organic solar cells (OSCs) to achiev…

cs.LG2019

Learning Latent Events from Network Message Logs

Siddhartha Satpathi, Supratim Deb, R Srikant +1

We consider the problem of separating error messages generated in large distributed data center networks into error events. In such networks, each error event leads to a stream of…

cs.CL2025

CNNSum: Exploring Long-Context Summarization with Large Language Models in Chinese Novels

Lingxiao Wei, He Yan, Xiangju Lu +3

Large language models (LLMs) have been well-researched in various long-context tasks. However, the scarcity of long-context summarization datasets hinders progress in this area. To…

cs.AI2026

GAMMA-Net: Adaptive Long-Horizon Traffic Spatio-Temporal Forecasting Model based on Interleaved Graph Attention and Multi-Axis Mamba

Dongyi He, Yuanquan Gao, Bin Jiang +1

Accurate traffic forecasting is crucial for intelligent transportation systems, supporting effective traffic management, congestion reduction, and informed urban planning. However,…

physics.flu-dyn2024

Thermocapillary migration of a self-rewetting droplet on an inclined surface: A phase-field simulation

He Yan, Lei Wang, Jiangxu Huang +1

In this paper, we investigated the thermocapillary migration of a self-rewetting droplet on an inclined surface using a phase field based lattice Boltzmann method. Unlike the norma…

cs.CV2022

ClothFormer:Taming Video Virtual Try-on in All Module

Jianbin Jiang, Tan Wang, He Yan +1

The task of video virtual try-on aims to fit the target clothes to a person in the video with spatio-temporal consistency. Despite tremendous progress of image virtual try-on, they…

cs.AI2026

PMDformer: Patch-Mean Decoupling Information Transformer for Long-term Forecasting

Ao Hu, Liangjian Wen, Jiang Duan +7

Long-term time series forecasting (LTSF) plays a crucial role in fields such as energy management, finance, and traffic prediction. Transformer-based models have adopted patch-base…

cs.CL2025

LIFBench: Evaluating the Instruction Following Performance and Stability of Large Language Models in Long-Context Scenarios

Xiaodong Wu, Minhao Wang, Yichen Liu +5

As Large Language Models (LLMs) evolve in natural language processing (NLP), their ability to stably follow instructions in long-context inputs has become critical for real-world a…

cs.CV2019

Unknown Identity Rejection Loss: Utilizing Unlabeled Data for Face Recognition

Haiming Yu, Yin Fan, Keyu Chen +4

Face recognition has advanced considerably with the availability of large-scale labeled datasets. However, how to further improve the performance with the easily accessible unlabel…

q-bio.NC2026

Non-Invasive Reconstruction of Intracranial EEG Across the Deep Temporal Lobe from Scalp EEG based on Conditional Normalizing Flow

Dongyi He, Bin Jiang, Kecheng Feng +5

Although obtaining deep brain activity from non-invasive scalp electroencephalography (sEEG) is crucial for neuroscience and clinical diagnosis, directly generating high-fidelity i…

cs.CL2023

Inherent limitations of LLMs regarding spatial information

He Yan, Xinyao Hu, Xiangpeng Wan +3

Despite the significant advancements in natural language processing capabilities demonstrated by large language models such as ChatGPT, their proficiency in comprehending and proce…

cs.CV2019

iQIYI-VID: A Large Dataset for Multi-modal Person Identification

Yuanliu Liu, Bo Peng, Peipei Shi +12

Person identification in the wild is very challenging due to great variation in poses, face quality, clothes, makeup and so on. Traditional research, such as face recognition, pers…

physics.app-ph2020

Long-lived and disorder-free charge transfer states enable endothermic charge separation in efficient non-fullerene organic solar cells

Philip C. Y. Chow, Ture F. Hinrichsen, Christopher C. S. Chan +11

Organic solar cells (OSCs) based on non-fullerene acceptors can show high charge generation yields despite near-zero donor-acceptor energy offsets to drive charge separation and ov…

physics.flu-dyn2025

Thermocapillary migration of an odd viscous droplet on a uniformly heated surface: A lattice Boltzmann study

Shan Jiang, He Yan, Chenxia Xie +1

In this study, the thermocapillary actuation behavior of an odd viscous droplet on a uniformly heated surface is numerically investigated using a phase-field-based lattice Boltzman…

q-bio.BM2025

IntFold: A Controllable Foundation Model for General and Specialized Biomolecular Structure Prediction

The IntFold Team, Leon Qiao, Wayne Bai +5

We introduce IntFold, a controllable foundation model for general and specialized biomolecular structure prediction. Utilizing a high-performance custom attention kernel, IntFold a…

eess.IV2025

Spec2VolCAMU-Net: A Spectrogram-to-Volume Model for EEG-to-fMRI Reconstruction based on Multi-directional Time-Frequency Convolutional Attention Encoder and Vision-Mamba U-Net

Dongyi He, Shiyang Li, Bin Jiang +1

High-resolution functional magnetic resonance imaging (fMRI) is essential for mapping human brain activity; however, it remains costly and logistically challenging. If comparable v…

cs.CV2020

Cartoon Face Recognition: A Benchmark Dataset

Yi Zheng, Yifan Zhao, Mengyuan Ren +4

Recent years have witnessed increasing attention in cartoon media, powered by the strong demands of industrial applications. As the first step to understand this media, cartoon fac…

cs.IR2024

Enhancing SPARQL Generation by Triplet-order-sensitive Pre-training

Chang Su, Jiexing Qi, He Yan +2

Semantic parsing that translates natural language queries to SPARQL is of great importance for Knowledge Graph Question Answering (KGQA) systems. Although pre-trained language mode…