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Long Zhang

8 accepted papers

2025

Enhancing Partially Relevant Video Retrieval with Robust Alignment Learning

EMNLP 2025

Partially Relevant Video Retrieval (PRVR) aims to retrieve untrimmed videos partially relevant to a given query. The core challenge lies in learning robust query-video alignment against spurious semantic correlations arising from inherent data uncertainty: 1) query ambiguity, where the query incompl

Cited by 0SourcePDFScholar
2025

LLM-OREF: An Open Relation Extraction Framework Based on Large Language Models

EMNLP 2025

The goal of open relation extraction (OpenRE) is to develop an RE model that can generalize to new relations not encountered during training. Existing studies primarily formulate OpenRE as a clustering task. They first cluster all test instances based on the similarity between the instances, and the

2023

S${2}$ Loop: A Lightweight Spectral-Spatio Loop Closure Detector for Resource-Constrained Platforms

RA-L 2023

Visual loop closure detection is an essential backend task for long-term vSLAM applications. However, prior works cannot simultaneously meet the requirements of high recall and low computing and memory overhead, which prohibits their applicability to resource-constrained platforms. In this work we p

Cited by 1SourceScholar
2022

Frequency-Aware Contrastive Learning for Neural Machine Translation

AAAI 2022technical

Low-frequency word prediction remains a challenge in modern neural machine translation (NMT) systems. Recent adaptive training methods promote the output of infrequent words by emphasizing their weights in the overall training objectives. Despite the improved recall of low-frequency words, their pre…

2022

Human-exoskeleton Cooperative Balance Strategy for a Human-powered Augmentation Lower Exoskeleton

IROS 2022poster

Lower Limb Exoskeletons (LLE) have received considerable interest in strength augmentation, rehabilitation, and walking assistance scenarios. For strength augmentation, LLE is expected to have the capability of reducing metabolic energy. However, the energy for adjusting Center of Gravity (CoG) is a…

Cited by 2SourceScholar
2021

Multi-Hop Transformer for Document-Level Machine Translation

NAACL 2021long

Document-level neural machine translation (NMT) has proven to be of profound value for its effectiveness on capturing contextual information. Nevertheless, existing approaches 1) simply introduce the representations of context sentences without explicitly characterizing the inter-sentence reasoning…

Cited by 14SourcePDFScholar
2021

Point, Disambiguate and Copy: Incorporating Bilingual Dictionaries for Neural Machine Translation

ACL 2021long

This paper proposes a sophisticated neural architecture to incorporate bilingual dictionaries into Neural Machine Translation (NMT) models. By introducing three novel components: Pointer, Disambiguator, and Copier, our method PDC achieves the following merits inherently compared with previous effort…

2015

Robust widely linear beamformer based on a projection constraint

ICASSP 2015accepted

For noncircular signals, optimal widely linear (WL) minimum variance distortionless response (MVDR) beamformer has a powerful performance by exploiting the noncircularity of the received signals. Though, the noncircularity rate can be estimated by the steering vector (SV) of the signal of interest (…

Cited by 0SourceScholar