Bohang Zhang
16 papers · 2020–2025 · 3 conferences · across top CS/AI conferences
Achievements
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🐣 Hot Topic Early Bird 🌍 Conference Polyglot (3) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🏃 Academic Marathon (5)
🐣
Hot Topic Early Bird
🌈
Renaissance Researcher
(5)
🌍
Conference Polyglot
(3)
🤝
Dynamic Duo
(11)
👑
Triple Crown
🔥
Unstoppable
(6)
💎
Century Club
(16)
❓
The Questioner
(3)
Conferences
ICML (6)
ICLR (5)
NIPS (5)
Top co-authors
Keywords
certified robustness
(2)
stochastic gradient descent
(2)
neural network
(2)
convergence analysis
(2)
non-convex optimization
(2)
lipchitz constant
(2)
graph neural network
(2)
lipschitz constant
(2)
expressive power
(1)
signal-to-noise ratio
(1)
mathematical reasoning
(1)
weisfeiler-lehman test
(1)
gradient descent
(1)
distributionally robust optimization
(1)
dynamic programming
(1)
autoregressive transformer
(1)
gradient clipping
(1)
adversarial perturbation
(1)
boolean function
(1)
conditional value-at-risk
(1)
Papers
Beyond Atoms: Enhancing Molecular Pretrained Representations with 3D Space Modeling
ICML 2025
How Do Large Language Models Understand Graph Patterns? A Benchmark for Graph Pattern Comprehension
ICLR 2025
Homomorphism Expressivity of Spectral Invariant Graph Neural Networks
ICLR 2025
Do Efficient Transformers Really Save Computation?
ICML 2024
Can Graph Learning Improve Planning in LLM-based Agents?
NIPS 2024
Beyond Weisfeiler-Lehman: A Quantitative Framework for GNN Expressiveness
ICLR 2024
On the Expressive Power of Spectral Invariant Graph Neural Networks
ICML 2024
Towards Revealing the Mystery behind Chain of Thought: A Theoretical Perspective
NIPS 2023
A Complete Expressiveness Hierarchy for Subgraph GNNs via Subgraph Weisfeiler-Lehman Tests
ICML 2023
Finding Generalization Measures by Contrasting Signal and Noise
ICML 2023
Rethinking the Expressive Power of GNNs via Graph Biconnectivity
ICLR 2023
Rethinking Lipschitz Neural Networks and Certified Robustness: A Boolean Function Perspective
NIPS 2022
Boosting the Certified Robustness of L-infinity Distance Nets
ICLR 2022
Towards Certifying L-infinity Robustness using Neural Networks with L-inf-dist Neurons
ICML 2021
Non-convex Distributionally Robust Optimization: Non-asymptotic Analysis
NIPS 2021
Improved Analysis of Clipping Algorithms for Non-convex Optimization
NIPS 2020