Search Results for author: ZiHao Wang

Found 88 papers, 30 papers with code

The Local Landscape of Phase Retrieval Under Limited Samples

no code implementations26 Nov 2023 Kaizhao Liu, ZiHao Wang, Lei Wu

We next consider the one-point strong convexity and show that as long as $n=\omega(d)$, with high probability, the landscape is one-point strongly convex in the local annulus: $\{w\in\mathbb{R}^d: o_d(1)\leqslant \|w-w^*\|\leqslant c\}$, where $w^*$ is the ground truth and $c$ is an absolute constant.

Learning Hierarchical Polynomials with Three-Layer Neural Networks

no code implementations23 Nov 2023 ZiHao Wang, Eshaan Nichani, Jason D. Lee

Our main result shows that for a large subclass of degree $k$ polynomials $p$, a three-layer neural network trained via layerwise gradient descent on the square loss learns the target $h$ up to vanishing test error in $\widetilde{\mathcal{O}}(d^k)$ samples and polynomial time.

Input Convex LSTM: A Convex Approach for Fast Lyapunov-Based Model Predictive Control

1 code implementation13 Nov 2023 ZiHao Wang, Zhe Wu

Leveraging Input Convex Neural Networks (ICNNs), ICNN-based Model Predictive Control (MPC) successfully attains globally optimal solutions by upholding convexity within the MPC framework.

JARVIS-1: Open-World Multi-task Agents with Memory-Augmented Multimodal Language Models

no code implementations10 Nov 2023 ZiHao Wang, Shaofei Cai, Anji Liu, Yonggang Jin, Jinbing Hou, Bowei Zhang, Haowei Lin, Zhaofeng He, Zilong Zheng, Yaodong Yang, Xiaojian Ma, Yitao Liang

Achieving human-like planning and control with multimodal observations in an open world is a key milestone for more functional generalist agents.

The Janus Interface: How Fine-Tuning in Large Language Models Amplifies the Privacy Risks

no code implementations24 Oct 2023 Xiaoyi Chen, Siyuan Tang, Rui Zhu, Shijun Yan, Lei Jin, ZiHao Wang, Liya Su, XiaoFeng Wang, Haixu Tang

In the attack, one can construct a PII association task, whereby an LLM is fine-tuned using a minuscule PII dataset, to potentially reinstate and reveal concealed PIIs.

GROOT: Learning to Follow Instructions by Watching Gameplay Videos

no code implementations12 Oct 2023 Shaofei Cai, Bowei Zhang, ZiHao Wang, Xiaojian Ma, Anji Liu, Yitao Liang

We propose to follow reference videos as instructions, which offer expressive goal specifications while eliminating the need for expensive text-gameplay annotations.

Instruction Following

MCU: A Task-centric Framework for Open-ended Agent Evaluation in Minecraft

1 code implementation12 Oct 2023 Haowei Lin, ZiHao Wang, Jianzhu Ma, Yitao Liang

To pursue the goal of creating an open-ended agent in Minecraft, an open-ended game environment with unlimited possibilities, this paper introduces a task-centric framework named MCU for Minecraft agent evaluation.

Out-of-Distribution Generalization

Towards out-of-distribution generalizable predictions of chemical kinetics properties

no code implementations4 Oct 2023 ZiHao Wang, Yongqiang Chen, Yang Duan, Weijiang Li, Bo Han, James Cheng, Hanghang Tong

Under this framework, we create comprehensive datasets to benchmark (1) the state-of-the-art ML approaches for reaction prediction in the OOD setting and (2) the state-of-the-art graph OOD methods in kinetics property prediction problems.

Property Prediction

MelodyGLM: Multi-task Pre-training for Symbolic Melody Generation

1 code implementation19 Sep 2023 Xinda Wu, Zhijie Huang, Kejun Zhang, Jiaxing Yu, Xu Tan, Tieyao Zhang, ZiHao Wang, Lingyun Sun

In particular, subjective evaluations show that, on the melody continuation task, MelodyGLM gains average improvements of 0. 82, 0. 87, 0. 78, and 0. 94 in consistency, rhythmicity, structure, and overall quality, respectively.

CoC-GAN: Employing Context Cluster for Unveiling a New Pathway in Image Generation

no code implementations23 Aug 2023 ZiHao Wang, Yiming Huang, Ziyu Zhou

We introduce this model with the novel structure as the Context Clustering Generative Adversarial Network (CoC-GAN), which offers a distinctive viewpoint in the domain of feature aggregating and dispatching.

Clustering Image Generation

ProAgent: Building Proactive Cooperative AI with Large Language Models

no code implementations22 Aug 2023 Ceyao Zhang, Kaijie Yang, Siyi Hu, ZiHao Wang, Guanghe Li, Yihang Sun, Cheng Zhang, Zhaowei Zhang, Anji Liu, Song-Chun Zhu, Xiaojun Chang, Junge Zhang, Feng Yin, Yitao Liang, Yaodong Yang

Experimental evaluations conducted within the framework of \textit{Overcook-AI} unveil the remarkable performance superiority of ProAgent, outperforming five methods based on self-play and population-based training in cooperation with AI agents.

Theoretical Analysis of Inductive Biases in Deep Convolutional Networks

no code implementations15 May 2023 ZiHao Wang, Lei Wu

We also prove that FCNs require $\Omega(d^2)$ samples while LCNs need only $\tilde{\mathcal{O}}(d)$ samples, demonstrating the importance of locality.

SongDriver2: Real-time Emotion-based Music Arrangement with Soft Transition

1 code implementation14 May 2023 ZiHao Wang, Le Ma, Chen Zhang, Bo Han, Yikai Wang, Xinyi Chen, HaoRong Hong, Wenbo Liu, Xinda Wu, Kejun Zhang

Existing studies mainly focus on achieving emotion real-time fit, while the issue of soft transition remains understudied, affecting the overall emotional coherence of the music.

Wasserstein-Fisher-Rao Embedding: Logical Query Embeddings with Local Comparison and Global Transport

1 code implementation6 May 2023 ZiHao Wang, Weizhi Fei, Hang Yin, Yangqiu Song, Ginny Y. Wong, Simon See

In contrast to existing scoring functions motivated by local comparison or global transport, this work investigates the local and global trade-off with unbalanced optimal transport theory.

Knowledge Graphs Logical Reasoning

SEAL: Simultaneous Label Hierarchy Exploration And Learning

1 code implementation26 Apr 2023 Zhiquan Tan, ZiHao Wang, Yifan Zhang

Label hierarchy is an important source of external knowledge that can enhance classification performance.

Score-based Generative Modeling Through Backward Stochastic Differential Equations: Inversion and Generation

no code implementations26 Apr 2023 ZiHao Wang

The proposed BSDE-based diffusion model represents a novel approach to diffusion modeling, which extends the application of stochastic differential equations (SDEs) in machine learning.

Rethinking Complex Queries on Knowledge Graphs with Neural Link Predictors

1 code implementation14 Apr 2023 Hang Yin, ZiHao Wang, Yangqiu Song

Moreover, we develop a new dataset containing ten new types of queries with features that have never been considered and therefore can provide a thorough investigation of complex queries.

Knowledge Graphs

Feature Mining for Encrypted Malicious Traffic Detection with Deep Learning and Other Machine Learning Algorithms

no code implementations7 Apr 2023 ZiHao Wang, Vrizlynn L. L. Thing

Currently, research on encrypted malicious traffic detection without decryption has focused on feature extraction and the choice of machine learning or deep learning algorithms.

SketchFFusion: Sketch-guided image editing with diffusion model

no code implementations6 Apr 2023 Weihang Mao, Bo Han, ZiHao Wang

Sketch-guided image editing aims to achieve local fine-tuning of the image based on the sketch information provided by the user, while maintaining the original status of the unedited areas.

Ericson: An Interactive Open-Domain Conversational Search Agent

no code implementations5 Apr 2023 ZiHao Wang, Ali Ahmadvand, Jason Choi, Payam Karisani, Eugene Agichtein

Open-domain conversational search (ODCS) aims to provide valuable, up-to-date information, while maintaining natural conversations to help users refine and ultimately answer information needs.

Conversational Search Dialogue Management +6

FCC: Fusing Conversation History and Candidate Provenance for Contextual Response Ranking in Dialogue Systems

no code implementations31 Mar 2023 ZiHao Wang, Eugene Agichtein, Jinho Choi

In a multi-turn dialogue, to capture the gist of a conversation, contextual information serves as essential knowledge to achieve this goal.

Miscellaneous Retrieval

InterviewBot: Real-Time End-to-End Dialogue System to Interview Students for College Admission

no code implementations27 Mar 2023 ZiHao Wang, Nathan Keyes, Terry Crawford, Jinho D. Choi

We present the InterviewBot that dynamically integrates conversation history and customized topics into a coherent embedding space to conduct 10 mins hybrid-domain (open and closed) conversations with foreign students applying to U. S. colleges for assessing their academic and cultural readiness.

SSL-Cleanse: Trojan Detection and Mitigation in Self-Supervised Learning

no code implementations16 Mar 2023 Mengxin Zheng, Jiaqi Xue, ZiHao Wang, Xun Chen, Qian Lou, Lei Jiang, XiaoFeng Wang

We evaluated SSL-Cleanse on various datasets using 1200 encoders, achieving an average detection success rate of 82. 2% on ImageNet-100.

Self-Supervised Learning

Concept Algebra for (Score-Based) Text-Controlled Generative Models

1 code implementation7 Feb 2023 ZiHao Wang, Lin Gui, Jeffrey Negrea, Victor Veitch

This suggests these models have internal representations that encode concepts in a `disentangled' manner.

Image Generation

Decentralized Inexact Proximal Gradient Method With Network-Independent Stepsizes for Convex Composite Optimization

no code implementations7 Feb 2023 Luyao Guo, Xinli Shi, Jinde Cao, ZiHao Wang

The proposed algorithm uses uncoordinated network-independent constant stepsizes and only needs to approximately solve a sequence of proximal mappings, which is advantageous for solving decentralized composite optimization problems where the proximal mappings of the nonsmooth loss functions may not have analytical solutions.

Zero-shot-Learning Cross-Modality Data Translation Through Mutual Information Guided Stochastic Diffusion

no code implementations31 Jan 2023 ZiHao Wang, Yingyu Yang, Maxime Sermesant, Hervé Delingette, Ona Wu

This paper proposes a new unsupervised zero-shot-learning method named Mutual Information guided Diffusion cross-modality data translation Model (MIDiffusion), which learns to translate the unseen source data to the target domain.

Denoising Translation +1

Open-World Multi-Task Control Through Goal-Aware Representation Learning and Adaptive Horizon Prediction

2 code implementations CVPR 2023 Shaofei Cai, ZiHao Wang, Xiaojian Ma, Anji Liu, Yitao Liang

We study the problem of learning goal-conditioned policies in Minecraft, a popular, widely accessible yet challenging open-ended environment for developing human-level multi-task agents.

Representation Learning

Logical Message Passing Networks with One-hop Inference on Atomic Formulas

1 code implementation21 Jan 2023 ZiHao Wang, Yangqiu Song, Ginny Y. Wong, Simon See

On top of the query graph, we propose the Logical Message Passing Neural Network (LMPNN) that connects the local one-hop inferences on atomic formulas to the global logical reasoning for complex query answering.

Complex Query Answering Graph Representation Learning +1

Learning Transformation-Predictive Representations for Detection and Description of Local Features

no code implementations CVPR 2023 ZiHao Wang, Chunxu Wu, Yifei Yang, Zhen Li

The task of key-points detection and description is to estimate the stable location and discriminative representation of local features, which is essential for image matching.

Contrastive Learning

Unified Multimodal Model with Unlikelihood Training for Visual Dialog

1 code implementation23 Nov 2022 ZiHao Wang, Junli Wang, Changjun Jiang

Prior work performs the standard likelihood training for answer generation on the positive instances (involving correct answers).

Answer Generation Chatbot +4

Unsupervised Echocardiography Registration through Patch-based MLPs and Transformers

no code implementations21 Nov 2022 ZiHao Wang, Yingyu Yang, Maxime Sermesant, Herve Delingette

In the meantime, recent studies show that the attention-based model (e. g., Transformer) can bring superior performance in pattern recognition tasks.

Image Registration

MICO: A Multi-alternative Contrastive Learning Framework for Commonsense Knowledge Representation

1 code implementation14 Oct 2022 Ying Su, ZiHao Wang, Tianqing Fang, Hongming Zhang, Yangqiu Song, Tong Zhang

Commonsense reasoning tasks such as commonsense knowledge graph completion and commonsense question answering require powerful representation learning.

Contrastive Learning Question Answering +1

Tackling Instance-Dependent Label Noise with Dynamic Distribution Calibration

no code implementations11 Oct 2022 Manyi Zhang, Yuxin Ren, ZiHao Wang, Chun Yuan

In this paper, to address the distribution shift in learning with instance-dependent label noise, a dynamic distribution-calibration strategy is adopted.

Dimensionality Reduction

Unsupervised Sentence Textual Similarity with Compositional Phrase Semantics

1 code implementation COLING 2022 ZiHao Wang, Jiaheng Dou, Yong Zhang

Measuring Sentence Textual Similarity (STS) is a classic task that can be applied to many downstream NLP applications such as text generation and retrieval.

Retrieval Sentence Embeddings +2

spred: Solving $L_1$ Penalty with SGD

2 code implementations3 Oct 2022 Liu Ziyin, ZiHao Wang

We propose to minimize a generic differentiable objective with $L_1$ constraint using a simple reparametrization and straightforward stochastic gradient descent.

Inductive Bias Neural Network Compression

SongDriver: Real-time Music Accompaniment Generation without Logical Latency nor Exposure Bias

no code implementations13 Sep 2022 ZiHao Wang, Qihao Liang, Kejun Zhang, Yuxing Wang, Chen Zhang, Pengfei Yu, Yongsheng Feng, Wenbo Liu, Yikai Wang, Yuntai Bao, Yiheng Yang

In this paper, we propose SongDriver, a real-time music accompaniment generation system without logical latency nor exposure bias.

The Causal Structure of Domain Invariant Supervised Representation Learning

no code implementations15 Aug 2022 ZiHao Wang, Victor Veitch

Then, we characterize the causal structures that are compatible with this notion of invariance. With this in hand, we find conditions under which method-specific invariance notions correspond to real-world invariant structure, and we clarify the relationship between invariant structure and robustness to domain shifts.

Data Augmentation Representation Learning

Integrating Knowledge Graph embedding and pretrained Language Models in Hypercomplex Spaces

1 code implementation4 Aug 2022 Mojtaba Nayyeri, ZiHao Wang, Mst. Mahfuja Akter, Mirza Mohtashim Alam, Md Rashad Al Hasan Rony, Jens Lehmann, Steffen Staab

In our approach, we build on existing strong representations of single modalities and we use hypercomplex algebra to represent both, (i), single-modality embedding as well as, (ii), the interaction between different modalities and their complementary means of knowledge representation.

Knowledge Graph Embedding Knowledge Graphs +1

Upper Limb Movement Recognition utilising EEG and EMG Signals for Rehabilitative Robotics

no code implementations18 Jul 2022 ZiHao Wang, Ravi Suppiah

Electromyography (EMG) signals and Electroencephalography (EEG) signals are used widely for upper limb movement classification.

Classification EEG +2

Information-Directed Selection for Top-Two Algorithms

1 code implementation24 May 2022 Wei You, Chao Qin, ZiHao Wang, Shuoguang Yang

We consider the best-k-arm identification problem for multi-armed bandits, where the objective is to select the exact set of k arms with the highest mean rewards by sequentially allocating measurement effort.

Multi-Armed Bandits Thompson Sampling +1

Posterior Collapse of a Linear Latent Variable Model

no code implementations9 May 2022 ZiHao Wang, Liu Ziyin

This work identifies the existence and cause of a type of posterior collapse that frequently occurs in the Bayesian deep learning practice.

Surface Reconstruction from Point Clouds: A Survey and a Benchmark

no code implementations5 May 2022 Zhangjin Huang, Yuxin Wen, ZiHao Wang, Jinjuan Ren, Kui Jia

For example, while deep learning methods are increasingly popular, our systematic studies suggest that, surprisingly, a few classical methods perform even better in terms of both robustness and generalization; our studies also suggest that the practical challenges of misalignment of point sets from multi-view scanning, missing of surface points, and point outliers remain unsolved by all the existing surface reconstruction methods.

Benchmarking Surface Reconstruction

Query2Particles: Knowledge Graph Reasoning with Particle Embeddings

1 code implementation Findings (NAACL) 2022 Jiaxin Bai, ZiHao Wang, Hongming Zhang, Yangqiu Song

The query embedding method is proposed to answer these queries by jointly encoding queries and entities to the same embedding space.

Complex Query Answering Entity Embeddings

A Neural-Symbolic Approach to Natural Language Understanding

2 code implementations20 Mar 2022 Zhixuan Liu, ZiHao Wang, Yuan Lin, Hang Li

Deep neural networks, empowered by pre-trained language models, have achieved remarkable results in natural language understanding (NLU) tasks.

Logical Reasoning Natural Language Inference +2

Quasi-Balanced Self-Training on Noise-Aware Synthesis of Object Point Clouds for Closing Domain Gap

1 code implementation8 Mar 2022 Yongwei Chen, ZiHao Wang, Longkun Zou, Ke Chen, Kui Jia

Such a challenge of Simulation-to-Reality (Sim2Real) domain gap could be mitigated via learning algorithms of domain adaptation; however, we argue that generation of synthetic point clouds via more physically realistic rendering is a powerful alternative, as systematic non-uniform noise patterns can be captured.

Benchmarking Point Cloud Classification +1

CLIP-GEN: Language-Free Training of a Text-to-Image Generator with CLIP

2 code implementations1 Mar 2022 ZiHao Wang, Wei Liu, Qian He, Xinglong Wu, Zili Yi

Once trained, the transformer can generate coherent image tokens based on the text embedding extracted from the text encoder of CLIP upon an input text.

A Speaker-aware Parallel Hierarchical Attentive Encoder-Decoder Model for Multi-turn Dialogue Generation

no code implementations13 Oct 2021 ZiHao Wang, Ming Jiang, Junli Wang

Differing from prior work that solely relies on the content of conversation history to generate a response, we argue that capturing relative social relations among utterances (i. e., generated by either the same speaker or different persons) benefits the machine capturing fine-grained context information from a conversation history to improve context coherence in the generated response.

Dialogue Generation

Benchmarking the Combinatorial Generalizability of Complex Query Answering on Knowledge Graphs

2 code implementations18 Sep 2021 ZiHao Wang, Hang Yin, Yangqiu Song

Besides, our work, for the first time, provides a benchmark to evaluate and analyze the impact of different operators and normal forms by using (a) 7 choices of the operator systems and (b) 9 forms of complex queries.

Benchmarking Complex Query Answering

Economic Recession Prediction Using Deep Neural Network

no code implementations21 Jul 2021 ZiHao Wang, Kun Li, Steve Q. Xia, Hongfu Liu

We investigate the effectiveness of different machine learning methodologies in predicting economic cycles.

BIG-bench Machine Learning

Non-negative matrix factorization algorithms greatly improve topic model fits

1 code implementation27 May 2021 Peter Carbonetto, Abhishek Sarkar, ZiHao Wang, Matthew Stephens

We report on the potential for using algorithms for non-negative matrix factorization (NMF) to improve parameter estimation in topic models.

Topic Models Variational Inference

Attention for Image Registration (AiR): an unsupervised Transformer approach

1 code implementation5 May 2021 ZiHao Wang, Hervé Delingette

To further advance learning approaches in image registration, we introduce an attention mechanism in the deformable image registration problem.

Image Registration

Mending Neural Implicit Modeling for 3D Vehicle Reconstruction in the Wild

no code implementations18 Jan 2021 Shivam Duggal, ZiHao Wang, Wei-Chiu Ma, Sivabalan Manivasagam, Justin Liang, Shenlong Wang, Raquel Urtasun

Reconstructing high-quality 3D objects from sparse, partial observations from a single view is of crucial importance for various applications in computer vision, robotics, and graphics.

3D Object Reconstruction

Adaptive Tree Wasserstein Minimization for Hierarchical Generative Modeling

no code implementations1 Jan 2021 ZiHao Wang, Xu Zhao, Tam Le, Hao Wu, Yong Zhang, Makoto Yamada

In this work, we consider OT over tree metrics, which is more general than the sliced Wasserstein and includes the sliced Wasserstein as a special case, and we propose a fast minimization algorithm in $O(n)$ for the optimal Wasserstein-1 transport plan between two distributions in the tree structure.

Unsupervised Domain Adaptation

PV-NAS: Practical Neural Architecture Search for Video Recognition

no code implementations2 Nov 2020 ZiHao Wang, Chen Lin, Lu Sheng, Junjie Yan, Jing Shao

Recently, deep learning has been utilized to solve video recognition problem due to its prominent representation ability.

Neural Architecture Search Video Recognition

Long Short-Term Memory Neuron Equalizer

no code implementations27 Oct 2020 ZiHao Wang, Zhifei Xu, Jiayi He, Chulsoon Hwang, Jun Fan, Hervé Delingette

In this work we propose a neuromorphic hardware based signal equalizer by based on the deep learning implementation.

Feature matching in Ultrasound images

no code implementations23 Oct 2020 Hang Zhu, ZiHao Wang

Feature matching is an important technique to identify a single object in different images.

An Investigation of how Label Smoothing Affects Generalization

no code implementations23 Oct 2020 Blair Chen, Liu Ziyin, ZiHao Wang, Paul Pu Liang

In this paper, as a step towards understanding why label smoothing is effective, we propose a theoretical framework to show how label smoothing provides in controlling the generalization loss.

Semi-Supervised Bilingual Lexicon Induction with Two-way Interaction

1 code implementation EMNLP 2020 Xu Zhao, ZiHao Wang, Hao Wu, Yong Zhang

In this paper, we propose a new semi-supervised BLI framework to encourage the interaction between the supervised signal and unsupervised alignment.

Bilingual Lexicon Induction Vocal Bursts Valence Prediction

A Relaxed Matching Procedure for Unsupervised BLI

no code implementations ACL 2020 Xu Zhao, ZiHao Wang, Hao Wu, Yong Zhang

Recently unsupervised Bilingual Lexicon Induction (BLI) without any parallel corpus has attracted much research interest.

Bilingual Lexicon Induction Translation

Emora: An Inquisitive Social Chatbot Who Cares For You

no code implementations10 Sep 2020 Sarah E. Finch, James D. Finch, Ali Ahmadvand, Ingyu, Choi, Xiangjue Dong, Ruixiang Qi, Harshita Sahijwani, Sergey Volokhin, Zihan Wang, ZiHao Wang, Jinho D. Choi

Inspired by studies on the overwhelming presence of experience-sharing in human-human conversations, Emora, the social chatbot developed by Emory University, aims to bring such experience-focused interaction to the current field of conversational AI.

Chatbot intent-classification +1

Quasi-symplectic Langevin Variational Autoencoder

no code implementations2 Sep 2020 Zihao Wang, Hervé Delingette

The HVAE adapted the Hamiltonian dynamic flow into variational inference that significantly improves the performance of the posterior estimation.

Variational Inference

Weakly-supervised 3D Shape Completion in the Wild

no code implementations ECCV 2020 Jiayuan Gu, Wei-Chiu Ma, Sivabalan Manivasagam, Wenyuan Zeng, ZiHao Wang, Yuwen Xiong, Hao Su, Raquel Urtasun

3D shape completion for real data is important but challenging, since partial point clouds acquired by real-world sensors are usually sparse, noisy and unaligned.

Point Cloud Registration Pose Estimation

Segmentation of the Left Ventricle by SDD double threshold selection and CHT

no code implementations21 Jul 2020 ZiHao Wang, ZhenZhou Wang

Automatic and robust segmentation of the left ventricle (LV) in magnetic resonance images (MRI) has remained challenging for many decades.

Classification General Classification +3

A Deep Learning based Fast Signed Distance Map Generation

no code implementations MIDL 2019 Zihao Wang, Clair Vandersteen, Thomas Demarcy, Dan Gnansia, Charles Raffaelli, Nicolas Guevara, Hervé Delingette

Signed distance map (SDM) is a common representation of surfaces in medical image analysis and machine learning.

Volumization as a Natural Generalization of Weight Decay

no code implementations25 Mar 2020 Liu Ziyin, ZiHao Wang, Makoto Yamada, Masahito Ueda

We propose a novel regularization method, called \textit{volumization}, for neural networks.


End-To-End Graph-based Deep Semi-Supervised Learning

no code implementations23 Feb 2020 Zihao Wang, Enmei Tu, Zhou Meng

The quality of a graph is determined jointly by three key factors of the graph: nodes, edges and similarity measure (or edge weights), and is very crucial to the success of graph-based semi-supervised learning (SSL) approaches.

Semantic Similarity Semantic Textual Similarity

Structural-Aware Sentence Similarity with Recursive Optimal Transport

no code implementations28 Jan 2020 Zihao Wang, Yong Zhang, Hao Wu

Moreover, we further develop Recursive Optimal Similarity (ROTS) for sentences with the valuable semantic insights from the connections between cosine similarity of weighted average of word vectors and optimal transport.

Sentence Similarity STS

Higher-order Weighted Graph Convolutional Networks

no code implementations11 Nov 2019 Songtao Liu, Lingwei Chen, Hanze Dong, ZiHao Wang, Dinghao Wu, Zengfeng Huang

Graph Convolution Network (GCN) has been recognized as one of the most effective graph models for semi-supervised learning, but it extracts merely the first-order or few-order neighborhood information through information propagation, which suffers performance drop-off for deeper structure.

Node Classification

Tackling Long-Tailed Relations and Uncommon Entities in Knowledge Graph Completion

no code implementations IJCNLP 2019 Zihao Wang, Kwun Ping Lai, Piji Li, Lidong Bing, Wai Lam

Therefore, we propose a meta-learning framework that aims at handling infrequent relations with few-shot learning and uncommon entities by using textual descriptions.

Few-Shot Learning

Wasserstein-Fisher-Rao Document Distance

no code implementations23 Apr 2019 Zihao Wang, Datong Zhou, Yong Zhang, Hao Wu, Chenglong Bao

As a fundamental problem of natural language processing, it is important to measure the distance between different documents.

Semantic Similarity Semantic Textual Similarity

Persona-Aware Tips Generation

no code implementations6 Mar 2019 Piji Li, ZiHao Wang, Lidong Bing, Wai Lam

In order to exploit the persona information, we propose a framework based on adversarial variational auto-encoders (aVAE) for persona modeling from the historical tips and reviews of users and items.

Improving Referring Expression Grounding with Cross-modal Attention-guided Erasing

no code implementations CVPR 2019 Xihui Liu, ZiHao Wang, Jing Shao, Xiaogang Wang, Hongsheng Li

Referring expression grounding aims at locating certain objects or persons in an image with a referring expression, where the key challenge is to comprehend and align various types of information from visual and textual domain, such as visual attributes, location and interactions with surrounding regions.

Referring Expression

Automatically Segmenting the Left Atrium from Cardiac Images Using Successive 3D U-Nets and a Contour Loss

no code implementations6 Dec 2018 Shuman Jia, Antoine Despinasse, ZiHao Wang, Hervé Delingette, Xavier Pennec, Pierre Jaïs, Hubert Cochet, Maxime Sermesant

In this preliminary study, we propose automated, two-stage, three-dimensional U-Nets with convolutional neural network, for the challenging task of left atrial segmentation.

Anatomy Image Segmentation +3

Responding E-commerce Product Questions via Exploiting QA Collections and Reviews

no code implementations COLING 2018 Qian Yu, Wai Lam, ZiHao Wang

Providing instant responses for product questions in E-commerce sites can significantly improve satisfaction of potential consumers.


Deep Recurrent Generative Decoder for Abstractive Text Summarization

1 code implementation EMNLP 2017 Piji Li, Wai Lam, Lidong Bing, ZiHao Wang

We propose a new framework for abstractive text summarization based on a sequence-to-sequence oriented encoder-decoder model equipped with a deep recurrent generative decoder (DRGN).

Abstractive Text Summarization Variational Inference

Neural Rating Regression with Abstractive Tips Generation for Recommendation

no code implementations1 Aug 2017 Piji Li, ZiHao Wang, Zhaochun Ren, Lidong Bing, Wai Lam

In essence, writing some tips and giving a numerical rating are two facets of a user's product assessment action, expressing the user experience and feelings.


Compressive Holographic Video

no code implementations27 Oct 2016 Zihao Wang, Leonidas Spinoulas, Kuan He, Huaijin Chen, Lei Tian, Aggelos K. Katsaggelos, Oliver Cossairt

Compressive holography has been introduced as a method that allows 3D tomographic reconstruction at different depths from a single 2D image.

4D reconstruction Super-Resolution

Competitive and Penalized Clustering Auto-encoder

no code implementations28 Aug 2015 Zihao Wang, Yiu-ming Cheung

In this paper, we present a novel regularization method based on a clustering algorithm which is able to classify the parameters into different groups.


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