10 citations · 29 across the 22 of their papers we have counts for
23 papers
CorNav: Autonomous Agent with Self-Corrected Planning for Zero-Shot Vision-and-Language Navigation
Xiwen Liang, Liang Ma, Shanshan Guo +4
Understanding and following natural language instructions while navigating through complex, real-world environments poses a significant challenge for general-purpose robots. These…
BUMP: A Benchmark of Unfaithful Minimal Pairs for Meta-Evaluation of Faithfulness Metrics
Liang Ma, Shuyang Cao, Robert L. Logan +5
The proliferation of automatic faithfulness metrics for summarization has produced a need for benchmarks to evaluate them. While existing benchmarks measure the correlation with hu…
GTN-ED: Event Detection Using Graph Transformer Networks
Sanghamitra Dutta, Liang Ma, Tanay Kumar Saha +3
Recent works show that the graph structure of sentences, generated from dependency parsers, has potential for improving event detection. However, they often only leverage the edges…
Query Answering via Decentralized Search
Liang Ma
Expert networks are formed by a group of expert-professionals with different specialties to collaboratively resolve specific queries posted to the network. In such networks, when a…
Failure Localization Capability: Theorem Proof and Evaluation
Liang Ma, Ting He, Ananthram Swami +2
This is a technical report, containing all the theorem proofs and additional evaluations in paper "Network Capability in Localizing Node Failures via End-to-end Path Measurements"…
Link Identifiability with Two Monitors: Proof of Selected Theorems
Liang Ma, Ting He, Kin K. Leung +2
This is a technical report, containing all the theorem proofs in paper "Link Identifiability in Communication Networks with Two Monitors" by Liang Ma, Ting He, Kin K. Leung, Ananth…
Identification of Additive Link Metrics: Proof of Selected Theorems
Liang Ma, Ting He, Kin K. Leung +2
This is a technical report, containing all the theorem proofs in the following two papers: (1) Liang Ma, Ting He, Kin K. Leung, Ananthram Swami, and Don Towsley, "Identifiability o…
Additive Link Metrics Identification: Proof of Selected Lemmas and Propositions
Liang Ma, Ting He, Kin K. Leung +2
This is a technical report, containing all the lemma and proposition proofs in paper "Topological Constraints on Identifying Additive Link Metrics via End-to-end Paths Measurements…
Influence Maximization Under Generic Threshold-based Non-submodular Model
Liang Ma
As a widely observable social effect, influence diffusion refers to a process where innovations, trends, awareness, etc. spread across the network via the social impact among indiv…
Efficient Identification of Additive Link Metrics: Theorem Proof and Evaluations
Liang Ma, Ting He, Kin K. Leung +2
This is a technical report, containing all the theorem proofs and additional evaluations in paper "Efficient Identification of Additive Link Metrics via Network Tomography" by Lian…
Partial Network Identifiability: Theorem Proof and Evaluation
Liang Ma, Ting He, Kin K. Leung +2
This is a technical report, containing all the theorem proofs and additional evaluations in paper "Monitor Placement for Maximal Identifiability in Network Tomography" by Liang Ma,…
Fundamental Theories in Node Failure Localization
Liang Ma, Ting He, Ananthram Swami +3
This is a technical report, containing all the theorem proofs in paper "Node Failure Localization in Communication Networks via Network Tomography" by Liang Ma, Ting He, Ananthram…
Node Failure Localization: Theorem Proof
Liang Ma, Ting He, Ananthram Swami +2
This is a technical report, containing all the theorem proofs in paper "On Optimal Monitor Placement for Localizing Node Failures via Network Tomography" by Liang Ma, Ting He, Anan…
Jointly-Learned State-Action Embedding for Efficient Reinforcement Learning
Paul J. Pritz, Liang Ma, Kin K. Leung
While reinforcement learning has achieved considerable successes in recent years, state-of-the-art models are often still limited by the size of state and action spaces. Model-free…
State Action Separable Reinforcement Learning
Ziyao Zhang, Liang Ma, Kin K. Leung +2
Reinforcement Learning (RL) based methods have seen their paramount successes in solving serial decision-making and control problems in recent years. For conventional RL formulatio…
Neural Network Tomography
Liang Ma, Ziyao Zhang, Mudhakar Srivatsa
Network tomography, a classic research problem in the realm of network monitoring, refers to the methodology of inferring unmeasured network attributes using selected end-to-end pa…
Efficient Global String Kernel with Random Features: Beyond Counting Substructures
Lingfei Wu, Ian En-Hsu Yen, Siyu Huo +5
Analysis of large-scale sequential data has been one of the most crucial tasks in areas such as bioinformatics, text, and audio mining. Existing string kernels, however, either (i)…
SENSE: Semantically Enhanced Node Sequence Embedding
Swati Rallapalli, Liang Ma, Mudhakar Srivatsa +4
Effectively capturing graph node sequences in the form of vector embeddings is critical to many applications. We achieve this by (i) first learning vector embeddings of single grap…
MACS: Deep Reinforcement Learning based SDN Controller Synchronization Policy Design
Ziyao Zhang, Liang Ma, Konstantinos Poularakis +3
In distributed software-defined networks (SDN), multiple physical SDN controllers, each managing a network domain, are implemented to balance centralised control, scalability, and…
Learning the Optimal Synchronization Rates in Distributed SDN Control Architectures
Konstantinos Poularakis, Qiaofeng Qin, Liang Ma +3
Since the early development of Software-Defined Network (SDN) technology, researchers have been concerned with the idea of physical distribution of the control plane to address sca…
DQ Scheduler: Deep Reinforcement Learning Based Controller Synchronization in Distributed SDN
Ziyao Zhang, Liang Ma, Konstantinos Poularakis +2
In distributed software-defined networks (SDN), multiple physical SDN controllers, each managing a network domain, are implemented to balance centralized control, scalability and r…
How Better is Distributed SDN? An Analytical Approach
Ziyao Zhang, Liang Ma, Kin K. Leung +3
Distributed software-defined networks (SDN), consisting of multiple inter-connected network domains, each managed by one SDN controller, is an emerging networking architecture that…
Network Capability in Localizing Node Failures via End-to-end Path Measurements
Liang Ma, Ting He, Ananthram Swami +2
We investigate the capability of localizing node failures in communication networks from binary states (normal/failed) of end-to-end paths. Given a set of nodes of interest, unique…