VLDB 2026 Research / reviewers in the wild / expert
Yanran Zhang
dblp:118/2034
· DBLP profile ↗
9ranked-venue papers
7as first author
9since 2021 · last 2026
—ORCID · conflict
Domains — the database's venue-derived domains; a paper can count in several
Artificial intelligence and machine learning · 6 · 5 first-author · 6 since 2021Applied, interdisciplinary, general and emerging computing · 4 · 4 first-author · 4 since 2021Security and privacy · 2 · 1 first-author · 2 since 2021Graphics, computer vision, multimedia, augmented reality and games · 2 · 1 first-author · 2 since 2021Systems, architecture and hardware · 1 · 1 first-author · 1 since 2021
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2026 | AtomXross: Toward General Cross-Chain TransactionabstractAs blockchain technology advances, an increasing number of applications require interactions between smart contracts across multiple blockchains. However, existing cross-chain solutions exhibit limited scalability due to heterogeneous blockchain environments and diverse application requirements. A fundamental challenge lies in the absence of a unified resource definition for cross-chain processes, impeding moderate resource allocation and effective conflict resolution. Specifically, when extended to general cross-chain transactions involving invocations among multiple contracts, these methods lack the capability to correctly handle state transitions for all related contracts. This paper proposes AtomXross, a novel cross-chain scheme that supports arbitrary combinations of smart contracts during the cross-chain process. We build a scalable cross-chain architecture based on a relay chain and a cluster of cross-chain nodes to provide better scalability. We propose a unified definition for cross-chain resources within the system and implement an adaptive resource management mechanism on the relay chain, enabling it to record the invocation relationships of contract functions. When a cross-chain transaction involves multiple contract calls, AtomXross can index the calls and generate the corresponding call tree. To address the challenges posed by potential mutual invocations between smart contracts, we design an atomic transaction protocol based on buckle-lock, an ordered two-tier pessimistic locking mechanism. AtomXross ensures that cross-chain transactions do not conflict with each other while remaining compatible with non-cross-chain calls that may occur at any time. Furthermore, we propose a universal programming template for on-chain smart contracts, which enables ordinary smart contracts to acquire cross-chain capabilities. We implement AtomXross based on Hyperledger Fabric and FiscoBCOS. In comparison to WeCross, AtomXross lowers the gas cost on system initialization and incurs only a 14% increase in transaction latency while supporting inter-contract calls. Yanran Zhang, Yifu Geng, Qin Wang 0008, Qianhong Wu, Wenchang Shi, Willy Susilo |
IEEE Trans. Inf. Forensics Secur. | 1 |
| 2025 | The effect of gender on multimodal child-directed language: Evidence from analyses of broadcast programmes
Yanran Zhang, Mengru Han, Marc Swerts |
CogSci | 1 |
| 2025 | UniPre3D: Unified Pre-training of 3D Point Cloud Models with Cross-Modal Gaussian Splatting
Ziyi Wang 0007, Yanran Zhang, Jie Zhou 0001, Jiwen Lu |
CVPR | 2 |
| 2025 | D3QE: Learning Discrete Distribution Discrepancy-Aware Quantization Error for Autoregressive-Generated Image Detection
Yanran Zhang, Bingyao Yu, Yu Zheng 0015, Wenzhao Zheng, Yueqi Duan, Lei Chen 0069, Jie Zhou 0001, Jiwen Lu |
ICCV | 1 |
| 2024 | Individual differences in multimodal child-directed language: Unraveling individual style, empathy and the Big Five personality traits
Yanran Zhang |
CogSci | 1 |
| 2023 | A recipient design in multimodal language on TV: A comparison of child-directed and adult-directed broadcasting
Yanran Zhang |
CogSci | 1 |
| 2023 | The production of adaptors: its relationship with representational gestures and context
Yanran Zhang |
CogSci | 1 |
| 2022 | PXCrypto: A Regulated Privacy-Preserving Cross-Chain Transaction Scheme
Yanran Zhang, Qin Wang 0008, Qianhong Wu, Wenchang Shi |
ICA3PP | 1 |
| 2022 | Squeezing Network Performance for Secure and Efficient PoW with Better Difficulty AdjustmentabstractDifficulty adjustment algorithm (DAA) is critical for PoW blockchain systems in currency issuance, transaction throughput, and blockchain security. Most DAAs concentrate on the unique goal of block-making stability from seconds to minutes. In contrast, we propose a new DAA with the goal of stabilizing orphan rates among the blocks made recently, observing that the orphan rate is more indicative since too high orphan rate indicates poor blockchain security and waste of honest hash power whereas too low orphan rate indicates poor blockchain throughout and wast of time awaiting other blocks. We notice a security defect of the recent orphan-rate DAA (NDSS 2022) in which an attacker may continually create orphan blocks and mislead miners to wrongly increase the difficulty. To fix this defect, our enhanced DAA takes into the orphan rate variation during the historical slots with smooth exponential decay affection on current difficulty adjustment. Theoretical and experimental analyses show that our DAA is effective and secure. Yuhang Ding, Zihan Yang 0002, Qin Wang 0008, Yanran Zhang, Qianhong Wu |
TrustCom | 5 |