Chen Zhang

Affiliations

Beijing Institute of Technology

papers

345

total citations

papers (21)

Exploiting Completeness and Uncertainty of Pseudo Labels for Weakly Supervised Video Anomaly Detection

CVPR 2023arXiv

102

citations

Mega-TTS 2: Boosting Prompting Mechanisms for Zero-Shot Speech Synthesis

ICLR 2024arXiv

citations

A Comprehensive Analysis of the Effectiveness of Large Language Models as Automatic Dialogue Evaluators

AAAI 2024arXiv

citations

iVPF: Numerical Invertible Volume Preserving Flow for Efficient Lossless Compression

CVPR 2021arXiv

citations

Debate on Graph: A Flexible and Reliable Reasoning Framework for Large Language Models

AAAI 2025arXiv

citations

Split Hierarchical Variational Compression

CVPR 2022arXiv

citations

Nonparametric Teaching of Implicit Neural Representations

ICML 2024arXiv

citations

Advancing DRL Agents in Commercial Fighting Games: Training, Integration, and Agent-Human Alignment

ICML 2024arXiv

citations

Aligning Language Models Using Follow-up Likelihood as Reward Signal

AAAI 2025arXiv

citations

Nonparametric Teaching for Multiple Learners

NEURIPS 2023arXiv

citations

OSOA: One-Shot Online Adaptation of Deep Generative Models for Lossless Compression

NEURIPS 2021arXiv

citations

ClusterFusion: Expanding Operator Fusion Scope for LLM Inference via Cluster-Level Collective Primitive

NEURIPS 2025arXiv

citations

Towards Effective Multi-Modal Interchanges in Zero-Resource Sounding Object Localization

NEURIPS 2022

citations

Cypher-RI: Reinforcement Learning for Integrating Schema Selection into Cypher Generation

NEURIPS 2025

citations

NondBREM: Nondeterministic Offline Reinforcement Learning for Large-Scale Order Dispatching

AAAI 2024

citations

Leveraging Frame Affinity for sRGB-to-RAW Video De-rendering

CVPR 2024

citations

IINet: Implicit Intra-inter Information Fusion for Real-Time Stereo Matching

AAAI 2024

citations

Chen Zhang

Affiliations

papers (21)

Exploiting Completeness and Uncertainty of Pseudo Labels for Weakly Supervised Video Anomaly Detection

Mega-TTS 2: Boosting Prompting Mechanisms for Zero-Shot Speech Synthesis

A Comprehensive Analysis of the Effectiveness of Large Language Models as Automatic Dialogue Evaluators

iVPF: Numerical Invertible Volume Preserving Flow for Efficient Lossless Compression

Debate on Graph: A Flexible and Reliable Reasoning Framework for Large Language Models

Split Hierarchical Variational Compression

Nonparametric Teaching of Implicit Neural Representations

Advancing DRL Agents in Commercial Fighting Games: Training, Integration, and Agent-Human Alignment

Aligning Language Models Using Follow-up Likelihood as Reward Signal

Nonparametric Teaching for Multiple Learners

OSOA: One-Shot Online Adaptation of Deep Generative Models for Lossless Compression

ClusterFusion: Expanding Operator Fusion Scope for LLM Inference via Cluster-Level Collective Primitive

High-Fidelity Lightweight Mesh Reconstruction from Point Clouds

Nonparametric Teaching for Graph Property Learners

Achieving Lightweight Super-Resolution for Real-Time Computer Graphics

DMNet: Delaunay Meshing Network for 3D Shape Representation

Towards Effective Multi-Modal Interchanges in Zero-Resource Sounding Object Localization

Cypher-RI: Reinforcement Learning for Integrating Schema Selection into Cypher Generation

NondBREM: Nondeterministic Offline Reinforcement Learning for Large-Scale Order Dispatching

Leveraging Frame Affinity for sRGB-to-RAW Video De-rendering

IINet: Implicit Intra-inter Information Fusion for Real-Time Stereo Matching

papers (21)

Exploiting Completeness and Uncertainty of Pseudo Labels for Weakly Supervised Video Anomaly Detection

Mega-TTS 2: Boosting Prompting Mechanisms for Zero-Shot Speech Synthesis

A Comprehensive Analysis of the Effectiveness of Large Language Models as Automatic Dialogue Evaluators

iVPF: Numerical Invertible Volume Preserving Flow for Efficient Lossless Compression

Debate on Graph: A Flexible and Reliable Reasoning Framework for Large Language Models

Split Hierarchical Variational Compression

Nonparametric Teaching of Implicit Neural Representations

Advancing DRL Agents in Commercial Fighting Games: Training, Integration, and Agent-Human Alignment

Aligning Language Models Using Follow-up Likelihood as Reward Signal

Nonparametric Teaching for Multiple Learners

OSOA: One-Shot Online Adaptation of Deep Generative Models for Lossless Compression

ClusterFusion: Expanding Operator Fusion Scope for LLM Inference via Cluster-Level Collective Primitive

High-Fidelity Lightweight Mesh Reconstruction from Point Clouds

Nonparametric Teaching for Graph Property Learners

Achieving Lightweight Super-Resolution for Real-Time Computer Graphics

DMNet: Delaunay Meshing Network for 3D Shape Representation

Towards Effective Multi-Modal Interchanges in Zero-Resource Sounding Object Localization

Cypher-RI: Reinforcement Learning for Integrating Schema Selection into Cypher Generation

NondBREM: Nondeterministic Offline Reinforcement Learning for Large-Scale Order Dispatching

Leveraging Frame Affinity for sRGB-to-RAW Video De-rendering

IINet: Implicit Intra-inter Information Fusion for Real-Time Stereo Matching