518 citations · 915 across the 27 of their papers we have counts for
27 papers
D-Separation for Causal Self-Explanation
Wei Liu, Jun Wang, Haozhao Wang +4
Rationalization is a self-explaining framework for NLP models. Conventional work typically uses the maximum mutual information (MMI) criterion to find the rationale that is most in…
Generalized Cactus and Structural Controllability of Switched Linear Continuous-Time Systems
Yuan Zhang, Yuanqing Xia, Aming Li
This paper explores the structural controllability of switched linear continuous-time systems. It first identifies a gap in the proof for a pivotal criterion for the structural con…
Cover-time Gumbel Fluctuations in Finite-Range, Symmetric, Irreducible Random Walks on Torus
Hao Ge, Xiao Han, Yuan Zhang
In this paper, we rigorously establish the Gumbel-distributed fluctuations of the cover time, normalized by the mean first passage time, for finite-range, symmetric, irreducible ra…
Distilling Missing Modality Knowledge from Ultrasound for Endometriosis Diagnosis with Magnetic Resonance Images
Yuan Zhang, Hu Wang, David Butler +4
Endometriosis is a common chronic gynecological disorder that has many characteristics, including the pouch of Douglas (POD) obliteration, which can be diagnosed using Transvaginal…
Functional Observability, Structural Functional Observability and Optimal Sensor Placement
Yuan Zhang, Tyrone Fernando, Mohamed Darouach
In this paper, new characterizations for functional observability, functional detectability, and structural functional observability (SFO) are developed, and based on them, the rel…
Knowledge Diffusion for Distillation
Tao Huang, Yuan Zhang, Mingkai Zheng +4
The representation gap between teacher and student is an emerging topic in knowledge distillation (KD). To reduce the gap and improve the performance, current methods often resort…
Avatar Knowledge Distillation: Self-ensemble Teacher Paradigm with Uncertainty
Yuan Zhang, Weihua Chen, Yichen Lu +3
Knowledge distillation is an effective paradigm for boosting the performance of pocket-size model, especially when multiple teacher models are available, the student would break th…
Observability Blocking for Functional Privacy of Linear Dynamic Networks
Yuan Zhang, Ranbo Cheng, Yuanqing Xia
This paper addresses the problem of determining the minimum set of state variables in a network that need to be blocked from direct measurements in order to protect functional priv…
On the Reachability and Controllability of Temporal Continuous-Time Linear Networks: A Generic Analysis
Yuan Zhang, Yuanqing Xia, Long Wang
Temporal networks are a class of time-varying networks, which change their topology according to a given time-ordered sequence of static networks (known as subsystems). This paper…
Zero-Norm Distance to Controllability of Linear Systems: Complexity, Bounds, and Algorithms
Yuan Zhang, Yuanqing Xia, Yufeng Zhan +1
Determining the distance between a controllable system to the set of uncontrollable systems, namely, the controllability radius problem, has been extensively studied in the past. H…
Masked Distillation with Receptive Tokens
Tao Huang, Yuan Zhang, Shan You +4
Distilling from the feature maps can be fairly effective for dense prediction tasks since both the feature discriminability and localization priors can be well transferred. However…
On Polynomially Solvable Constrained Input Selections for Fixed and Switched Linear Structured Systems
Yuan Zhang, Yuanqing Xia, Shenyu Liu +1
This paper investigates two related optimal input selection problems for fixed (non-switched) and switched structured systems. More precisely, we consider selecting the minimum cos…
On real structured controllability/stabilizability/stability radius: Complexity and unified rank-relaxation based methods
Yuan Zhang, Yuanqing Xia, Yufeng Zhan
This paper addresses the real structured controllability, stabilizability, and stability radii (RSCR, RSSZR, and RSSR, respectively) of linear systems, which involve determining th…
Controllable Semantic Parsing via Retrieval Augmentation
Panupong Pasupat, Yuan Zhang, Kelvin Guu
In practical applications of semantic parsing, we often want to rapidly change the behavior of the parser, such as enabling it to handle queries in a new domain, or changing its pr…
Total Unimodularity and Strongly Polynomial Solvability of Constrained Minimum Input Selections for Structural Controllability: an LP-based Method
Yuan Zhang, Yuanqing Xia, Yufeng Zhan
This paper investigates several cost-sparsity induced optimal input selection problems for structured systems. Given are an autonomous system and a prescribed set of input links, w…
Partial Strong Structural Controllability
Yuan Zhang, Yuanqing Xia
This paper introduces a new controllability notion, termed partial strong structural controllability (PSSC), on a structured system whose entries of system matrices are either fixe…
Perturbation-Tolerant Structural Controllability for Linear Systems
Yuan Zhang, Yuanqing Xia, Gang Wang +1
This paper proposes a notion termed perturbation-tolerant structural controllability (PTSC) to study the generic property of controllability preservation/resilience of structured l…
Unlocking Compositional Generalization in Pre-trained Models Using Intermediate Representations
Jonathan Herzig, Peter Shaw, Ming-Wei Chang +3
Sequence-to-sequence (seq2seq) models are prevalent in semantic parsing, but have been found to struggle at out-of-distribution compositional generalization. While specialized mode…
Few-shot Intent Classification and Slot Filling with Retrieved Examples
Dian Yu, Luheng He, Yuan Zhang +3
Few-shot learning arises in important practical scenarios, such as when a natural language understanding system needs to learn new semantic labels for an emerging, resource-scarce…
PTSC: a New Definition for Structural Controllability under Numerical Perturbations
Yuan Zhang, Yuanqing Xia
This paper proposes a novel notion for structural controllability under structured numerical perturbations, namely the perturbation-tolerant structural controllability (PTSC), on a…
Light Dark Matter Search with Ionization Signals in XENON1T
E. Aprile, J. Aalbers, F. Agostini +130
We report constraints on light dark matter (DM) models using ionization signals in the XENON1T experiment. We mitigate backgrounds with strong event selections, rather than requiri…
XENON1T Dark Matter Data Analysis: Signal Reconstruction, Calibration and Event Selection
E. Aprile, J. Aalbers, F. Agostini +125
The XENON1T experiment at the Laboratori Nazionali del Gran Sasso is the most sensitive direct detection experiment for dark matter in the form of weakly interacting particles (WIM…
The XENON1T Data Acquisition System
E. Aprile, J. Aalbers, F. Agostini +130
The XENON1T liquid xenon time projection chamber is the most sensitive detector built to date for the measurement of direct interactions of weakly interacting massive particles wit…
XENON1T Dark Matter Data Analysis: Signal & Background Models, and Statistical Inference
E. Aprile, J. Aalbers, F. Agostini +123
The XENON1T experiment searches for dark matter particles through their scattering off xenon atoms in a 2 tonne liquid xenon target. The detector is a dual-phase time projection ch…