Research author
Hao Zhang
17 AI research papers in the One9Founders library, with summaries and links to original sources.
Papers by Hao Zhang
JEPA-Inspired Latent Field Prediction for Sparse-Pilot MIMO-OFDM Channel Reconstruction
Yuzhi Yang, Brahim Mefgouda, Hang Zou, et al.
ExGrad: Beyond Suppression - Explicit Clean-Gradient Subtraction in Adversarial Training
Zhiyuan Ye, Xiangyu Zhou, Ji Qi, et al.
RayCo4D: Ray-Conditioned Continuous Motion Model for Monocular 4D Dynamic Reconstruction
Yuanxiang Ni, Xianliang Huang, Ruihan Hou, et al.
LoGRA: Scaling LLM Reinforcement Learning with Low-Rank Gradient Sketches
Shaokun Zhang, Yifan Zhang, Jian Hu, et al.
World Embedding Benchmark
Yiqi Liu, Ruifeng Yuan, Yang Wang, et al.
Multimodal Thinking with Renderable Programs
Sunli Chen, Ding Zhong, Ziqiao Ma, et al.
OSWorld-Pro: Process-based Evaluation for Computer Use Agents
Zhilin Wang, Shaokun Zhang, Yifan Zhang, et al.
ProbeMatchDTI: Probe-Driven Multi-Scale Biochemical Pattern Matching for Drug-Target Interaction Prediction
Quan Hao, Mengyue Fan, Zifan Dong, et al.
Astar: Learning to Propose Evolution Directions for Self-Evolving Industrial AI Systems
Jinxin Hu, Hao Deng, Haibo Xing, et al.
Evaluating the Diversity of AI-Generated Content with Diversity Profiles
Xiuyuan Hu, Xuege Hou, Guoqing Liu, et al.
Illusion or Integrity? Geometrical Consistency Metric for AIGC Video Quality Evaluation
Yifei Xue, Yuanchen Fei, Hao Zhang, et al.
Beyond Retrieval: Analytic Memory for Multimodal Agents
Zhoujin Tian, Yao Tian, Hao Zhang, et al.
Kimi K3: Open Frontier Intelligence
Kimi Team, Tongtong Bai, Yifan Bai, et al.
SPEARBench: A Benchmark for Naturalness Evaluation in Streaming Speech-to-Speech Language Models
Thomas Thebaud, Yuzhe Wang, Hao Zhang, et al.
TRACE: Temporal Relationship-Aware Conversational Entrainment Detection in Dyadic Speech
Sathvik Manikantan Napa Ugandhar, Hao Zhang, Alison Gunzler, et al.
LatentUM: Unleashing the Potential of Interleaved Cross-Modal Reasoning via a Latent-Space Unified Model
Jiachun Jin, Zetong Zhou, Xiao Yang, et al.
Fast and Accurate Probing of In-Training LLMs' Downstream Performances
Zhichen Liu, Tianle Lun, Zhibin Wen, et al.