6 citations · 20 across the 12 of their papers we have counts for
13 papers
OneSign: Unifying Sign Language Understanding Tasks with One Model
Shiwei Gan, Yafeng Yin, Xiao Liu +3
SLU encompasses a diverse set of tasks, including ISLR, CSLR, and SLT. Although these tasks share basic semantic and linguistic foundations, they are typically addressed with task-…
SignLlama: Enhancing Gloss-free Sign Language Translation by Prioritizing Visual Features for LLMs
Shiwei Gan, Xiao Liu, Yafeng Yin +5
Large Language Models (LLMs) have achieved remarkable success across a wide range of tasks. However, fine-tuning LLMs for Gloss-Free Sign Language Translation (GFSLT) remains a cha…
Sign Language Question Answering: A New Task, Benchmark, and Baseline for Sign Language Understanding
Shiwei Gan, Lichen Wang, Xiao Liu +4
Recent advances in sign language (SL) understanding (SLU) have led to remarkable progress in tasks such as continuous SL recognition and SL translation. However, these tasks are de…
MemPoison: Uncovering Persistent Memory Threats and Structural Blind Spots in LLM Agents
Jifeng Gao, Kang Xia, Yi Zhang +5
Persistent external memory enhances agent continuity but introduces persistent security vulnerabilities: adversarial content can be injected via standard interaction channels, reta…
InfoMerge: Information-aware Token Compression for Efficient Video Large Language Models
Xinxin Liu, Shiwei Gan, Xiao Liu +3
Video Large Language Models (Video-LLMs) achieve strong performance in video understanding, but their excessive visual tokens bring substantial computational overhead. Existing tra…
Construction of Subexponential-Size Optical Priority Queues with Switches and Fiber Delay Lines
Bin Tang, Xiaoliang Wang, Cam-Tu Nguyen +2
All-optical switching has been considered as a natural choice to keep pace with growing fiber link capacity. One key research issue of all-optical switching is the design of optica…
Efficient Resource Allocation for On-Demand Mobile-Edge Cloud Computing
Xu Chen, Wenzhong Li, Sanglu Lu +2
Mobile-edge cloud computing is a new paradigm to provide cloud computing capabilities at the edge of pervasive radio access networks in close proximity to mobile users. Aiming at p…
PingAn: An Insurance Scheme for Job Acceleration in Geo-distributed Big Data Analytics System
Tiantian Wang, Zhuzhong Qian, Sanglu Lu
Geo-distributed data analysis in a cloud-edge system is emerging as a daily demand. Out of saving time in wide area data transfer, some tasks are dispersed to the edges. However, d…
Towards Reliable (and Efficient) Job Executions in a Practical Geo-distributed Data Analytics System
Xiaoda Zhang, Zhuzhong Qian, Sheng Zhang +4
Geo-distributed data analytics are increasingly common to derive useful information in large organisations. Naive extension of existing cluster-scale data analytics systems to the…
RDMAvisor: Toward Deploying Scalable and Simple RDMA as a Service in Datacenters
Zhi Wang, Xiaoliang Wang, Zhuzhong Qian +2
RDMA is increasingly adopted by cloud computing platforms to provide low CPU overhead, low latency, high throughput network services. On the other hand, however, it is still challe…
Designing a Disaster-resilient Network with Software Defined Networking
An Xie, Xiaoliang Wang, Guido Maier +1
With the wide deployment of network facilities and the increasing requirement of network reliability, the disruptive event like natural disaster, power outage or malicious attack h…
Constructing Sub-exponentially Large Optical Priority Queues with Switches and Fiber Delay Lines
Bin Tang, Xiaoliang Wang, Cam-Tu Nguyen +1
Optical switching has been considered as a natural choice to keep pace with growing fiber link capacity. One key research issue of all-optical switching is the design of optical qu…
Expander Chunked Codes
Bin Tang, Shenghao Yang, Baoliu Ye +2
Chunked codes are efficient random linear network coding (RLNC) schemes with low computational cost, where the input packets are encoded into small chunks (i.e., subsets of the cod…