来源:港科大广州|人工智能学域
原文链接:https://mp.weixin.qq.com/s/xLK05FpoESB506PA3lAq-Q

近日,第43届国际机器学习大会(ICML 2026)正式公布论文接收结果。香港科技大学(广州)信息枢纽人工智能学域师生共有48篇论文入选本届大会,其中2篇入选Oral(口头报告,Top 0.7%),2篇入选Spotlight(亮点报告,Top 2.2%),充分展现了学域在机器学习与人工智能核心领域的前沿研究实力和国际影响力。
其中,2023级博士生徐睿、刘雅峥分别以第一作者身份斩获1篇Oral、1篇Spotlight,彰显了学域卓越的博士生培养质量与拔尖创新人才培养成效。
Oral 口头报告(Top 0.7%)
Information Flow Reveals When to Trust Language Models
作者:Rui XU(23级 AI PhD,徐睿), Yi CHEN, Jiujiu CHEN(24级AI PhD,陈玖玖), Sihong XIE(副教授 谢思泓)
FlatLand: Personalized Graph Federated Learning via Tailored Lorentz Space
作者:Jiahong LIU, Ram Samarth B B, Xinyu FU, Menglin YANG(助理教授 杨萌林), Weixi ZHANG, Rex YING, Irwin King
Spotlight 亮点报告(Top 2.2%)
Towards the Explainability of Temporal Graph Networks via Memory Backtracking and Topological Attribution
作者:Yazheng LIU(23级 AI PhD,刘雅峥), Xi ZHANG, Sihong XIE(副教授 谢思泓), Hui XIONG(教授 熊辉)
MASPOB: Bandit-Based Prompt Optimization for Multi-Agent Systems with Graph Neural Networks
作者:Zhi HONG, Qian ZHANG, Jiahang SUN, Zhiwei SHANG, Mingze KONG, Xiangyi WANG, Yao SHU(助理教授 舒瑶), Zhongxiang DAI
ICML(International Conference on Machine Learning)是机器学习与人工智能领域历史最悠久、规模最大、影响最广的国际顶级学术会议,位列中国计算机学会(CCF)推荐A 类会议,与NeurIPS、ICLR 并称为全球人工智能领域“三大顶会”,代表着机器学习领域的最高学术水平。
本届ICML 2026创下历史投稿量新高,共收到23,918 篇有效投稿,较上一年增长近一倍。经过全球顶尖学者的严格评审,会议最终录用6,352篇论文,总录用率为26.6%。其中:
536篇论文被选为Spotlight 亮点报告,录用率仅2.2%
168篇论文被选为Oral 口头报告,录用率仅0.7%


论文录用结果
*按论文标题首字母排序
Acoustic Interference: A New Paradigm Weaponizing Acoustic Latent Semantic for Universal Jailbreak against Large Audio Language Models
作者:Yanyun WANG(AI MPhil 王彦云), Yu HUANG(AI MPhil 黄宇), Zi LIANG, Xixin WU, Li LIU(助理教授 刘李)
Agent-Omit: Adaptive Context Omission for Efficient LLM Agents
作者:Yansong NING(AI PhD 甯彦淞), Jun FAN, Naiqiang TAN, Hao LIU(助理教授 刘浩)
AG-REPA: Causal Layer Selection for Representation Alignment in Audio Flow Matching
作者:Pengfei ZHANG(AI PhD 张鹏飞), Tianxin XIE(AI PhD 谢添鑫), Minghao YANG(AI PhD 杨铭皓), Li LIU(助理教授 刘李)
All Circuits Lead to Rome: Rethinking Functional Anisotropy in Circuit and Sheaf Discovery for LLMs
作者:Xi CHEN, Mingyu JIN, Jingcheng NIU, Yutong YIN, Jinman ZHAO, Bangwei GUO, Dimitris N. METAXAS, Zhaoran WANG, Yutao YUE(副教授 岳玉涛), Gerald PENN
AnyEdit++: Adaptive Long-Form Knowledge Editing via Bayesian Surprise
作者:Bowen TIAN(AI PhD 田博闻), Caixue HE, Jiemin WU, Jingying WANG, Wenshuo CHEN, Zexi LI, Yutao YUE(副教授 岳玉涛)
ArcDAE: Asymmetric Rectified Contrastive Diffusion Autoencoder for Unified Representation Learning
作者:Ge GAO, Di XIONG, Zeke XIE(助理教授 谢泽柯), Jian YANG, Shuo CHEN
DRIFT: Decoupled Rollouts and Importance-Weighted Fine-Tuning for Efficient Multi-Turn Optimization
作者:Jian MU(RA), Tianyi LIN, Chengwei QIN(助理教授 秦成伟), Zhongxiang DAI, Yao SHU(助理教授 舒瑶)
Exploring Data-Free LoRA Transferability for Video Diffusion Models
作者:Yuchen WANG, Wenliang ZHONG(AI PhD 钟文亮), Lichen BAI(AI PhD 白立忱), Zikai ZHOU, Shitong SHAO, Bojun CHENG, Shuo CHEN, Shuo YANG, Zeke XIE(助理教授 谢泽柯)
Find, Fix, Reason: Context Repair for Video Reasoning
作者:Haojian HUANG(AI PhD 黄浩健), Chuanyu QIN, Yinchuan LI, Yingcong CHEN(助理教授 陈颖聪)
FlatLand: Personalized Graph Federated Learning via Tailored Lorentz Space(Oral,&& Spotlight)
作者:Jiahong LIU, Ram Samarth B B, Xinyu FU, Menglin YANG(助理教授 杨萌林), Weixi ZHANG, Rex YING, Irwin KING
Hierarchical Abstract Tree for Cross-Document Retrieval-Augmented Generation
作者:Ziwen ZHAO(AI PhD 赵子文), Menglin YANG(助理教授 杨萌林)
Hyperbolic Multimodal Continual Learning
作者:Jiahong LIU, Ming SHEN, Xiaohao LIU, Rex YING, Menglin YANG(助理教授 杨萌林), Tat-Seng CHUA, Irwin KING
HypRAG: Hyperbolic Dense Retrieval for Retrieval Augmented Generation
作者:Hiren MADHU, Ngoc BUI, Ali MAATOUK, Leandros TASSIULAS, Smita KRISHNASWAMY, Menglin YANG(助理教授 杨萌林), Sukanta GANGULY, Kiran SRINIVASAN, Rex YING
Identifying and Mitigating Errors in Gradient Aggregation of Distributed Data Parallel Training
作者:Zhenheng TANG, Junlin HUANG, Zichen TANG,Xueze KANG, Yuxin WANG, Peijie DONG, Shaohuai SHI, Xiaowen CHU(教授 褚晓文), Bo LI
ImpText: A Benchmark and Tool-Augmented Framework for Implicit Text Reasoning
作者:Litao GUO(AI PhD 郭力涛), Jinsong ZHOU(AI MPhil 周劲松), Shuaibo LI, Man CHEN(AI MPhil 陈曼), Xinli XU(AI PhD 许新里), Zixin ZHANG(AI PhD 张梓欣), Harold Haodong CHEN(AI PhD 陈浩东), Ying-Cong CHEN(助理教授 陈颖聪)
Information Flow Reveals When to Trust Language Models
作者:Rui XU(AI PhD,徐睿), Yi CHEN, Jiujiu CHEN(AI PhD,陈玖玖), Sihong XIE(副教授 谢思泓)
KineFlow: Kinematic Second-Order Flow Matching for Time-Series Forecasting
作者:Haiqi JIANG(AI MPhil 江海琪), Hui XIONG(教授 熊辉)
Learning from Fine-Grained Visual Discrepancies: Mitigating Multimodal Hallucinations via In-Context Visual Contrastive Optimization
作者:Haolin DENG(AI PhD 邓浩霖), Xin ZOU(AI PhD 邹鑫), Zhiwei JIN, Chen CHEN, Haonan LU, Xuming HU(助理教授 胡旭明)
Learning Query-Aware Budget-Tier Routing for Runtime Agent Memory
作者:Haozhen ZHANG, Haodong YUE, Tao FENG, Quanyu LONG, Jianzhu BAO, Bowen JIN, Weizhi ZHANG, Xiao LI, Jiaxuan YOU, Chengwei QIN(助理教授 秦成伟), Wenya WANG
Learning to Think in Physics: Breaking Shortcut Learning in Scientific Diffusion via Representation Alignment
作者:Haozhe JIA(RA), Pengyu YIN, Wenshuo CHEN(AI PhD 陈文硕), Shaofeng LIANG(RA), Lei WANG(Postdoc), Bowen TIAN(AI PhD 田博闻), Xiucheng WANG, Nanqian JIA, Yutao YUE(副教授 岳玉涛)
Lightning Unified Video Editor via In-Context Sparse Attention
作者:Shitong SHAO, Zikai ZHOU, Haopeng LI(AI MPhil 李浩鹏), Yingwei SONG, Wenliang ZHONG(AI PhD 钟文亮), Lichen BAI(AI PhD 白立忱), Zeke XIE(助理教授 谢泽柯)
Low-cost Full Fine-tuning: Learning What to Update for LLMs
作者:Jin LI(AI PhD 李进), Yaming GUO(AI PhD 郭亚明), Shenghao GAO, Xinlong CHEN, Zuhao XU, Ying SUN, Chao WANG, Hui XIONG(教授 熊辉)
MASPOB: Bandit-Based Prompt Optimization for Multi-Agent Systems with Graph Neural Networks
作者:Zhi HONG, Qian ZHANG, Jiahang SUN, Zhiwei SHANG, Mingze KONG, Xiangyi WANG, Yao SHU(助理教授 舒瑶), Zhongxiang DAI
MDN: Parallelizing Stepwise Momentum for Delta Linear Attention
作者:Yulong HUANG, Xiang LIU, Hongxiang HUANG, Xiaopeng LIN, Zunchang LIU, Xiaowen CHU(教授 褚晓文), Zeke XIE(助理教授 谢泽柯), Bojun CHENG
Med-Scout: Curing MLLMs' Geometric Blindness in Medical Perception via Geometry-Aware RL Post-Training
作者:Anglin LIU(AI PhD 刘昂霖), Ruichao CHEN, Yi LU, Hongxia XU, Jintai CHEN(助理教授 陈晋泰)
MGAL: A Multilingual Granularity-Aware Long-Context Benchmark
作者:Chunhan LI, Chenglin XU, Zongyang ZHANG, Jiale LIU, Zhuoxi RAO, Xudong JIA, Junxiu HE, Menglin YANG(助理教授 杨萌林), Wenjuan GONG, Zhengzhe LIU, Chengwei QIN(助理教授 秦成伟)
MotionGRPO: Overcoming Low Intra-Group Diversity in GRPO-Based Egocentric Motion Recovery
作者:Nanjie YAO(Incoming AI PhD), Junlong REN(AI MPhil 任俊龙), Wenhao SHEN, Hao WANG(助理教授 王浩)
On the Plasticity and Stability for Post-Training Large Language Models
作者:Wenwen QIANG, Ziyin GU, Jiahuan ZHOU, Jie HU, Jingyao WANG, Changwen ZHENG, Hui XIONG(教授 熊辉)
Op-CAD: Benchmarking and Investigating Operation-oriented CAD Generation
作者:Yixue BAI, Yufei GU, Zeke XIE(助理教授 谢泽柯)
Optimizing Few-Step Generation with Adaptive Matching Distillation
作者:Lichen BAI(AI PhD 白立忱), Zikai ZHOU, Wenliang ZHONG(AI PhD 钟文亮), Shitong SHAO, Shuo YANG, Shuo CHEN, Bojun CHENG, Zeke XIE(助理教授 谢泽柯)
PSG-Nav: Probabilistic Scene Graph Navigation via Multiverse Decision Making
作者:Rufeng CHEN(AI PhD 陈如枫), Yue CHANG(AI PhD 常越), Xiaqiang TANG(AI PhD 唐夏强), Hechang CHEN, Sihong XIE(副教授 谢思泓)
Revisiting Zeroth-Order Hessian Approximation: A Single-Step Policy Optimization Lens
作者:Junbin QIU(AI PhD 邱俊斌), Zhaowei HONG(AI MPhil 洪兆炜), Renzhe XU, Yao SHU(助理教授 舒瑶)
RLIE: Rule Generation with Logistic Regression, Iterative Refinement, and Evaluation for Large Language Models
作者:Yang YANG(AI PhD 杨洋), Hua XU, Zhangyi HU(AI PhD 胡张艺), Yutao YUE(副教授 岳玉涛)
SARSteer: Safeguarding Large Audio Language Models via Safe-Ablated Refusal Steering
作者:Weilin LIN(AI PhD 林威霖), Jianze LI, Hui XIONG(教授 熊辉), Li LIU(助理教授 刘李)
ScalingAR: Scaling Confidence for Autoregressive Image Generation
作者:Harold Haodong CHEN(AI PhD 陈浩东), Xianfeng WU, Wen-Jie SHU, Rongjin GUO, Disen LAN, Harry YANG, Ying-Cong CHEN(助理教授 陈颖聪)
Semantic Integrity Matters: Benchmarking and Preserving High-Density Reasoning in KV Cache Compression
作者:Xiang Liu, Zhenheng Tang, Hong Chen(AI MPhil 陈鸿), Peijie Dong, Zeyu Li, Xiuze Zhou(AI PhD 周秀泽), Bo Li, Xuming Hu(助理教授 胡旭明), Xiaowen Chu(教授 褚晓文)
Show, Don't Tell: Morphing Latent Reasoning into Image Generation
作者:Harold Haodong CHEN(AI PhD 陈浩东), Xinxiang YIN, Wen-Jie SHU, Hongfei ZHANG, Zixin ZHANG(AI PhD 张梓欣), Chenfei LIAO, Litao GUO(AI PhD 郭力涛), Qifeng CHEN, Ying-Cong CHEN(助理教授 陈颖聪)
Spatial Memory for Out-of-Vision Manipulation in Vision-Language-Action
作者:Pengteng LI(AI PhD 李鹏腾), Weiyu GUO(AI PhD 郭伟钰), He ZHANG, Tiefu CAI(AI PhD 蔡铁夫), Xiao HE, Yandong GUO, Hui XIONG(教授 熊辉)
StormInsight: Hierarchical Environmental Forcing and Vertical Coupling for Weather System Evolution
作者:Jun CHEN, Yan FANG, Minghui QIU, Yueran QIU, Lin CHEN, Shuxin ZHONG, Yu ZHANG,Kaishun WU(教授 伍楷舜)
The Forgetting-Retention Dilemma: Certified Unlearning Theory in Continual Learning
作者:Yiting HU, Lingjie DUAN(教授 段凌杰), Qian ZHANG
The Perceptual Bandwidth Bottleneck in Vision-Language Models: Active Visual Reasoning via Sequential Experimental Design
作者:Anjie LIU(AI PhD 刘安杰), Ziqin GONG(AI PhD 龚子钦), Yan SONG, Yuxiang CHEN, Xiaolong LIU, Hengtong LU, Kaike ZHANG, Chen WEI, Jun WANG
Theory of Continual Learning Against Data Poisoning Attacks
作者:Yiting HU, Lingjie DUAN(教授 段凌杰)
Towards the Explainability of Temporal Graph Networks via Memory Backtracking and Topological Attribution
作者:Yazheng LIU(AI PhD 刘雅峥), Xi ZHANG, Sihong XIE(副教授 谢思泓), Hui XIONG(教授 熊辉)
T-POP: Test-Time Personalization with Online Preference Feedback
作者:Zikun QU, Min ZHANG, Mingze KONG, Xiang LI, Zhiwei SHANG, Zhiyong WANG, Yikun BAN, Shuang QIU, Yao SHU(助理教授 舒瑶), Zhongxiang DAI
VCG-Bench: Towards A Unified Visual-Centric Benchmark for Structured Generation and Editing
作者:Xiaoyan SU, Peijie DONG, Zhenheng TANG, Song TANG, Yuyao ZHAI, Kaitao LIN, Liang CHEN, Yuhang GAI, Yuyu LUO, Qiang WANG, Xiaowen CHU(教授 褚晓文)
Video-MTR: Reinforced Multi-Turn Reasoning for Long Video Understanding
作者:Yuan XIE(AI PhD 谢圆), Tianshui CHEN, Zheng GE, Lionel NI(教授 倪明选)
Words & Weights: Streamlining Multi-Turn Interactions via Co-Adaptation
作者:Chenxing WEI, Hong WANG, Ying HE, Zhongxiang DAI, Bo JIANG, F Richard YU, Yao SHU(助理教授 舒瑶)
X-EviProbe: Post-hoc Parameter-free Evidential Uncertainty Quantification for Frozen Graph Neural Networks
作者:Chenghua GUO,Sihong XIE(副教授 谢思泓), Xi ZHANG