影响力指数
38.91/100
前 15.2%
全站排名 #9,782
发表论文18
平均评分3.6
年均产出9.0 篇/年

Jiahao Zhang

PhD student@Pennsylvania State University·美国·OpenReview
研究方向

Graph Neural Networks · Recommender System · Generative Models · Computer Vision · Affective Computing

5.5
26

Sublinear Time Quantum Algorithm for Attention Approximation

ICLR 2026Poster
三作
5.0
14

On Fine-Grained I/O Complexity of Attention Backward Passes

ICLR 2026Rejected
通讯
4.5
10

T2VPhysBench: A First‑Principles Benchmark for Physical Consistency in Text‑to‑Video Generation

ICLR 2026Rejected
4.5
11

Text-to-Image Diffusion Models Cannot Count, and Prompt Refinement Cannot Help

ICLR 2026Rejected
4.0
7

Accept More, Reject Less: Reducing up to 19% Unnecessary Desk-Rejections over 11 Years of ICLR Data

ICLR 2026Rejected
三作
4.0
8

Towards High-Order Mean Flow Generative Models: Feasibility, Expressivity, and Provably Efficient Criteria

ICLR 2026Rejected
通讯
4.0
13

Theoretical Constraints on the Expressive Power of RoPE-based Tensor Attention Transformers

ICLR 2026Rejected
通讯
3.0
6

Fundamental Limits of Crystalline Equivariant Graph Neural Networks: A Circuit Complexity Perspective

ICLR 2026Rejected
三作
3.0
6

Differentially Private Lewis Weight Computation

ICLR 2026Rejected
通讯
2.5
9

Thinking Isn't an Illusion: Overcoming the Limitations of Reasoning Models via Tool Augmentations

ICLR 2026Withdrawn
三作
2.5
5

Your Vision-Language Model Can’t Even Count to 20: Exposing the Failures of VLMs in Compositional Counting

ICLR 2026Withdrawn
通讯
2.5
5

T2VTextBench: A Human Evaluation Benchmark for Textual Control in Video Generation Models

ICLR 2026Withdrawn
2.5
9

DPBloomfilter: Securing Bloom Filters with Differential Privacy

ICLR 2026Withdrawn
通讯
1.5
9

Differentially Private Random Spanning Tree Generation

ICLR 2026Withdrawn
三作
1.5
9

Which Coauthor Should I Nominate in My 99 ICLR Submissions? A Mathematical Analysis of the ICLR 2026 Reciprocal Reviewer Nomination Policy

ICLR 2026Withdrawn
三作
1.5
9

Too Easily Fooled? Prompt Injection Breaks LLMs on Frustratingly Simple Multiple-Choice Questions

ICLR 2026Withdrawn
通讯