Publications (35)
The PMT System of the TRIDENT Pathfinder Experiment
Fuyudi Zhang, Fan Hu, Shishen Xian +12
Next generation neutrino telescopes are highly anticipated to boost the development of neutrino astronomy. A multi-cubic-kilometer neutrino telescope, TRopIcal DEep-sea Neutrino Te…
ERNIE 5.0 Technical Report
Haifeng Wang, Hua Wu, Tian Wu +432
In this report, we introduce ERNIE 5.0, a natively autoregressive foundation model desinged for unified multimodal understanding and generation across text, image, video, and audio…
EasySize: Elastic Analog Circuit Sizing via LLM-Guided Heuristic Search
Xinyue Wu, Fan Hu, Shaik Jani Babu +2
Analog circuit design is a time-consuming, experience-driven task in chip development. Despite advances in AI, developing universal, fast, and stable gate sizing methods for analog…
Lightweight Attentional Feature Fusion: A New Baseline for Text-to-Video Retrieval
Fan Hu, Aozhu Chen, Ziyue Wang +3
In this paper we revisit feature fusion, an old-fashioned topic, in the new context of text-to-video retrieval. Different from previous research that considers feature fusion only…
Exploring a PMT+SiPM Hybrid Optical Module for Next Generation Neutrino Telescopes
Fan Hu, Zhuo Li, Donglian Xu
Cosmic neutrinos are unique probes of the high energy universe. IceCube has discovered a diffuse astrophysical neutrino flux since 2013, but their origin remains elusive. The poten…
AID++: An Updated Version of AID on Scene Classification
Pu Jin, Gui-Song Xia, Fan Hu +2
Aerial image scene classification is a fundamental problem for understanding high-resolution remote sensing images and has become an active research task in the field of remote sen…
Tackling Long Code Search with Splitting, Encoding, and Aggregating
Fan Hu, Yanlin Wang, Lun Du +4
Code search with natural language helps us reuse existing code snippets. Thanks to the Transformer-based pretraining models, the performance of code search has been improved signif…
AEFS: Adaptive Early Feature Selection for Deep Recommender Systems
Fan Hu, Gaofeng Lu, Jun Chen +3
Feature selection has emerged as a crucial technique in refining recommender systems. Recent advancements leveraging Automated Machine Learning (AutoML) has drawn significant atten…
Extending Silicon Lifetime: A Review of Design Techniques for Reliable Integrated Circuits
Shaik Jani Babu, Fan Hu, Linyu Zhu +2
Reliability has become an increasing concern in modern computing. Integrated circuits (ICs) are the backbone of modern computing devices across industries, including artificial int…
Accurate Building Detection in VHR Remote Sensing Images using Geometric Saliency
Jin Huang, Gui-Song Xia, Fan Hu +1
This paper aims to address the problem of detecting buildings from remote sensing images with very high resolution (VHR). Inspired by the observation that buildings are always more…
Towards Making a Trojan-horse Attack on Text-to-Image Retrieval
Fan Hu, Aozhu Chen, Xirong Li
While deep learning based image retrieval is reported to be vulnerable to adversarial attacks, existing works are mainly on image-to-image retrieval with their attacks performed at…
Search for Charm-quark Production via Dimuons in Neutrino Telescopes
ChuanLe Sun, Fuyudi Zhang, Fan Hu +2
Dimuon events induced by charm-quark productions from neutrino deep inelastic scattering (DIS) processes have been studied in traditional DIS experiments for decades. The recent pr…
Simulation study on the optical processes at deep-sea neutrino telescope sites
Fan Hu, Zhenyu Wei, Wei Tian +8
The performance of a large-scale water Cherenkov neutrino telescope relies heavily on the transparency of the surrounding water, quantified by its level of light absorption and sca…
Dense v.s. Sparse: A Comparative Study of Sampling Analysis in Scene Classification of High-Resolution Remote Sensing Imagery
Jingwen Hu, Gui-Song Xia, Fan Hu +1
Scene classification is a key problem in the interpretation of high-resolution remote sensing imagery. Many state-of-the-art methods, e.g. bag-of-visual-words model and its variant…
Geometry-based Multi-beam Survey Line Layout Problem
Chuangqi Li, Yuhang Wang, Fan Hu
The multi-beam measurement system plays a crucial role in ocean mapping and underwater terrain detection. By simultaneously transmitting multiple beams, the system can accurately r…
Learn to Understand Negation in Video Retrieval
Ziyue Wang, Aozhu Chen, Fan Hu +1
Negation is a common linguistic skill that allows human to express what we do NOT want. Naturally, one might expect video retrieval to support natural-language queries with negatio…
GRID: a Student Project to Monitor the Transient Gamma-Ray Sky in the Multi-Messenger Astronomy Era
Jiaxing Wen, Xiangyun Long, Xutao Zheng +139
The Gamma-Ray Integrated Detectors (GRID) is a space mission concept dedicated to monitoring the transient gamma-ray sky in the energy range from 10 keV to 2 MeV using scintillatio…
Exploiting Deep Features for Remote Sensing Image Retrieval: A Systematic Investigation
Xin-Yi Tong, Gui-Song Xia, Fan Hu +3
Remote sensing (RS) image retrieval is of great significant for geological information mining. Over the past two decades, a large amount of research on this task has been carried o…
Prediction of Potential Commercially Available Inhibitors against SARS-CoV-2 by Multi-Task Deep Learning Model
Fan Hu, Jiaxin Jiang, Peng Yin
The outbreak of COVID-19 caused millions of deaths worldwide, and the number of total infections is still rising. It is necessary to identify some potentially effective drugs that…
UniASM: Binary Code Similarity Detection without Fine-tuning
Yeming Gu, Hui Shu, Fei Kang +1
Binary code similarity detection (BCSD) is widely used in various binary analysis tasks such as vulnerability search, malware detection, clone detection, and patch analysis. Recent…
Renmin University of China at TRECVID 2022: Improving Video Search by Feature Fusion and Negation Understanding
Xirong Li, Aozhu Chen, Ziyue Wang +4
We summarize our TRECVID 2022 Ad-hoc Video Search (AVS) experiments. Our solution is built with two new techniques, namely Lightweight Attentional Feature Fusion (LAFF) for combini…
What Matters for Ad-hoc Video Search? A Large-scale Evaluation on TRECVID
Aozhu Chen, Fan Hu, Zihan Wang +2
For quantifying progress in Ad-hoc Video Search (AVS), the annual TRECVID AVS task is an important international evaluation. Solutions submitted by the task participants vary in te…
Revisiting Code Search in a Two-Stage Paradigm
Fan Hu, Yanlin Wang, Lun Du +4
With a good code search engine, developers can reuse existing code snippets and accelerate software development process. Current code search methods can be divided into two categor…
A Geometric Pathway for Tuning Ferroelectric Properties via Polar State Reconfiguration
Hao-Cheng Thong, Bo Wu, Fan Hu +7
We report the discovery of a geometric pathway for tuning ferroelectric properties through thermally driven reconfiguration between coexisting polar states in Li-substituted NaNbO3…
The Light Source of the TRIDENT Pathfinder Experiment
Wenlian Li, Xiaohui Liu, Wei Tian +9
In September 2021, a site scouting mission known as the TRIDENT pathfinder experiment (TRIDENT EXplorer, T-REX for short) was conducted in the South China Sea with the goal of envi…
Bridging the gap between target-based and cell-based drug discovery with a graph generative multi-task model
Fan Hu, Dongqi Wang, Huazhen Huang +2
Drug discovery is vitally important for protecting human against disease. Target-based screening is one of the most popular methods to develop new drugs in the past several decades…
A camera system for real-time optical calibration of water-based neutrino telescopes
Wei Tian, Wei Zhi, Qiao Xue +12
Calibrating the optical properties within the detection medium of a neutrino telescope is crucial for determining its angular resolution and energy scale. For the next generation o…
Learning Partially-Decorrelated Common Spaces for Ad-hoc Video Search
Fan Hu, Zijie Xin, Xirong Li
Ad-hoc Video Search (AVS) involves using a textual query to search for multiple relevant videos in a large collection of unlabeled short videos. The main challenge of AVS is the vi…
An Improved Diversity Combining Receiver for Layered ACO-FOFDM in IM/DD Systems
Mengqi Guo, Ji Zhou, Xizi Tang +5
In this paper, an improved receiver based on diversity combining is proposed to improve the bit error rate (BER) performance of layered asymmetrically clipped optical fast orthogon…
AID: A Benchmark Dataset for Performance Evaluation of Aerial Scene Classification
Gui-Song Xia, Jingwen Hu, Fan Hu +4
Aerial scene classification, which aims to automatically label an aerial image with a specific semantic category, is a fundamental problem for understanding high-resolution remote…
Recent advances and opportunities in scene classification of aerial images with deep models
Fan Hu, Gui-Song Xia, Wen Yang +1
Scene classification is a fundamental task in interpretation of remote sensing images, and has become an active research topic in remote sensing community due to its important role…
Deep Reinforcement Learning for Real-Time Ground Delay Program Revision and Corresponding Flight Delay Assignments
Ke Liu, Fan Hu, Hui Lin +6
This paper explores the optimization of Ground Delay Programs (GDP), a prevalent Traffic Management Initiative used in Air Traffic Management (ATM) to reconcile capacity and demand…
Shift-Left Techniques in Electronic Design Automation: A Survey
Xinyue Wu, Zixuan Li, Fan Hu +4
The chip design process involves numerous steps, beginning with defining product requirements and progressing through architectural planning, system-level design, and the physical…
A Novel Framework Integrating AI Model and Enzymological Experiments Promotes Identification of SARS-CoV-2 3CL Protease Inhibitors and Activity-based Probe
Fan Hu, Lei Wang, Yishen Hu +5
The identification of protein-ligand interaction plays a key role in biochemical research and drug discovery. Although deep learning has recently shown great promise in discovering…
Question Answering via Web Extracted Tables and Pipelined Models
Bhavya Karki, Fan Hu, Nithin Haridas +5
In this paper, we describe a dataset and baseline result for a question answering that utilizes web tables. It contains commonly asked questions on the web and their corresponding…