VLDB 2026 Research / reviewers in the wild / expert
Kehan Feng
dblp:390/8906
· DBLP profile ↗
2ranked-venue papers
0as first author
2since 2021 · last 2025
—ORCID · conflict
Domains — the database's venue-derived domains; a paper can count in several
Systems, architecture and hardware · 2 · 2 since 2021Artificial intelligence and machine learning · 1 · 1 since 2021
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Computer architecture, parallel and distributed computing, and storage systems
1 paper |
Electronic design automation · 100% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Electronic design automation
hardware verification and test |
0.9 | 1 | 2025 | DiffTest-H: Toward Semantic-Aware Communication in Hardware-Accelerated Processor Verification · MICRO 2025 |
Electronic design automation › hardware verification and test
processor verification |
0.9 | 1 | 2025 | DiffTest-H: Toward Semantic-Aware Communication in Hardware-Accelerated Processor Verification · MICRO 2025 |
Electronic design automation › hardware verification and test › hardware verification
hardware-accelerated verification |
0.3 | 1 | 2025 | DiffTest-H: Toward Semantic-Aware Communication in Hardware-Accelerated Processor Verification · MICRO 2025 |
Methods — techniques the papers use, named apart from their topics
semantic-aware communication · 0.9
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2025 | DiffTest-H: Toward Semantic-Aware Communication in Hardware-Accelerated Processor Verification
Kunlin You, Yinan Xu 0001, Kehan Feng, Luoshan Cai, Yaoyang Zhou, Yungang Bao |
MICRO | 3 |
| 2024 | A Novel Geometrical Structure Robot Hand for Linear-parallel Pinching and Coupled Self-adaptive Hybrid GraspingabstractCurrent robot hand grippers capable of self-adaptive or coupled grasping often cannot perform linear-parallel pinching at the physical end of the gripper, which is widely used in industrial applications. For this reason, this paper introduces a gripper with hybrid grasping modes— the LPCSA hand. It can achieve three grasping modes: linear-parallel pinching, coupled, and self-adaptive grasping. The design cleverly couples two kinds of Chebyshev linear mechanisms to enable flat movement at the end of the finger. It also utilizes the deformability of the parallelogram to achieve self-adaptive grasping. Furthermore, the gripper uses an idle stroke and a special component to facilitate the switch between the three modes. The linear-parallel pinching function is suitable for pinching objects of different sizes on the desktop. The self-adaptive grasping mode can adapt to objects of various shapes and sizes. The coupled grasping mode enables fast grasping of irregular objects. This paper also analyzes the kinematics and dynamics of the LPCSA hand. Combined with experiments, it demonstrates that the LPCSA hand has a wide range of grasping space and stable performance. Bihao Zhang, Kehan Feng, Wenzeng Zhang |
IROS | 3 |