Haichong Zhang

3 papers · 2021–2026 · 3 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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🌍 Conference Polyglot · Bronze 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Bronze 🐣 Hot Topic Early Bird

Venues

CVPR (1) ICLR (1) NeurIPS (1)

Top co-authors

Ziming Zhang (3) Kazunori Yamada (2) Fangzhou Lin (2) Jose Morales (1) Yuping Wang (1) Yanhua Li (1) Venkatesh Saligrama (1) Zixun Huang (1) Liu Ren (1) Haotian Liu (1)

Research topics

Deep Learning (2) Machine Learning (2) Optimization & Theory · Machine Learning (2) Computer Vision (1) Mathematics & Optimization (1) Architectures (1) Core Methods (1) Domain-Specific (1) Learning Types (1) Optimization (1) Optimization & Theory · Deep Learning (1)

Keywords

stochastic gradient descent (1) metric learning (1) multi-task learning (1) hyperparameter learning (1) knowledge transfer (1) autonomous driving (1) gradient descent (1) bilevel optimization (1) hidden state (1) recurrent neural network (1) dense prediction (1) gradient vanishing (1) chamfer distance (1) point cloud completion (1) stochastic bilevel optimization (1) partial supervision (1) set-to-set matching (1) invertible flow network (1) gumbel prior (1) probabilistic similarity (1)

Papers

NexusFlow: Unifying Disparate Tasks under Partial Supervision via Invertible Flow Networks CVPR 2026 GPS: A Probabilistic Distributional Similarity with Gumbel Priors for Set-to-Set Matching ICLR 2025 SBO-RNN: Reformulating Recurrent Neural Networks via Stochastic Bilevel Optimization NeurIPS 2021