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1. Large Language Models (27 papers)

Session S1.1 (6 papers)

1. TARS-XAttn: Source-Conditioned Cross-Attention Routing for Cost-Efficient Edge--Cloud Multimodal Inference An Huang, Kuangyu Zheng, Jiao Wu, Pan Lu, Ang Li, Yuliang Lei, Baisong Ren and Yan Li [ID 147]
2. Uncertainty-Aware Persona-Guided Decision Making for Emotional Support Conversation Yu Zhang, Yulong Li, Jiaoyun Yang, Honglin Chen, Yan-Yan Chen and Ning An [ID 631]
3. Selective Attention-Head Recovery for Low-Bit Multimodal LLMs Xiongwei He, Tianyi Ren, Qi Lu, Xiaopeng Zhao, Xinjie Cui and Xiaoying Zhang [ID 1192]
4. ProbPlug: A Plugin Uncertainty Network for Reliable Confidence in LLM Binary Classification Jianzong Wang, Chuhang Liu, Botao Zhao, Zuheng Kang, Xulong Zhang, Xiaoyang Qu, Junqing Peng, Zhiwei Ye and Yayun He [ID 1590]
5. UMG-FER: Uncertainty-Guided Multi-Granularity Feature Fusion for Occlusion-Robust Facial Expression Recognition Yuqi Zhang, Xiaomei Dong and Zhengqing Sun [ID 1618]
6. EmoSAR-MM: Multimodal Conversational Emotion Recognition via Perception-Cognition Conflict Arbitration Kang Yao, Congcong Tian, Shengjiang Zhang, Quanbo Cheng and Weiwei Fu [ID 1780]

Session S1.2 (7 papers)

1. Multilingual Verifier Bias in RLVR: Benchmark, Rollout Diagnosis, and the Cross-Lingual Selection Bottleneck Chenyu Zhou, Qiliang Jiang and Xu Zhou [ID 188]
2. FedLLM-SS: One-Shot LLM Static Scheduling for LEO Earth Observation Satellite Federated Learning Gesheng Zhu, Han Chen, Jian Shi, Cheng Gong and Chao Guo [ID 537]
3. Dynamic Demonstration Quantity Selection for In-Context Learning Fei Zhao, Yufei Chen, Taotian Pang, Zhen Wu, Zheng Ma, Shujian Huang and Xinyu Dai [ID 922]
4. Beyond Accuracy: A Compact Diagnostic Evaluation of Bilingual Risk-Sensitive LLM QA Zijie Chen [ID 976]
5. Not All Rationales Are Equal: Boundary-Aware Selection for LLM-to-Student Distillation Duc-Huy Pham, Anh Duc Nguyen, Tan Nhat Dinh, Tung Le and Tien Huy Nguyen [ID 1127]
6. DLR-KV: Dynamic Layer Routing for Efficient KV-Cache Reduction in LLMs Miaomiao Zhao, Peiyan Yuan, Xiaoyan Zhao, Zhuoran Wang, Jie Gao, Yaoxuan Huang and Chenyang Wang [ID 1203]
7. Reading the Patient, Holding the Line: PerSafe, a Gold-Light Contingency Benchmark for Safe Personalization in Medical LLMs Xungang Gu, Pengyao Xu, Yangjie Tian, Xiaobin Wang, He Zhang, Ruohua Xu and Ming Liu [ID 1602]

Session S1.3 (8 papers)

1. Reasoning as a Weapon: Adaptive Dual-Path Jailbreak Attack on Large Language Models Shi Lin, Peng Qian, Hongming Yang, Renjie Sun, Dezhang Kong and Xun Wang [ID 280]
2. When to Write and When to Suppress: Route-Specialized Dual Adapters for Memory-Assisted Knowledge Editing Baijia Zhang, Jun Long and Yining Huang [ID 504]
3. ByteBridge: Diagnosing the Limits of Byte Input Adapters for Frozen Tokenizer-Based Language Models Chengyu Zhang, Qiwen Xue and Hamza Djigal [ID 838]
4. Exploring multiple factors that influenced the course: An LLM based mixing reasoning framework for world war simulation Shengqiang Li and Shaofei Chen [ID 1110]
5. HQ-Adapter: Hamilton-Coupled Structured Adaptation of Large Language Models for Low-Resource Logical Reasoning Longjie Qu, Fuxue Li and Hong Yan [ID 1348]
6. Consensus-Guided Adaptive Reasoning for Dialectal and Standard Arabic Medical Question Answering Abdulsalam Alharbi and Basem Suleiman [ID 1459]
7. Tokenization-Induced Structural Bias in Arithmetic: A Carry-Graph View of Addition Zhurun Zhang [ID 1759]
8. Isolating the Supervision Target: A Matched-Control Study of Parser-Gated Plan Generation in Compact Vision-Language Models Shenzhou Gao and Peijian Zhang [ID 1845]

Session S1.4 (6 papers)

1. Making AutoML Ensembles Task-Aware: Semantic Priors for Search-to-Ensemble Consistency Shibo Cui, Junquan Gu, Xiangfeng Luo, Zhengyang Liu and Hang Yu [ID 713]
2. When Published CVSS Is Not Ground Truth: A Scope-Aware Audit of LLM Severity Assessors for Cyber-Physical Vulnerabilities Aditya Gupta [ID 845]
3. STEC: Evidence Compression for Deep Search in Open-domain Multi-Hop QA Xinkang Li, Rong Jiang, Xin Song, Ye Wang, Yue Han and Changjian Li [ID 918]
4. Popularity-Residualized LLM-Enhanced Cross-Domain Recommendation Ziyu Li, Jinglong Duan, Shiqing Wu, Weihua Li, Quan Bai and Jianhua Jiang [ID 1330]
5. Failure-Localized Reward Evolution: Spatial Failure Feedback for LLM-Based Reward Design in Robot Manipulation Renhong Zhang and Hongxian Yang [ID 1435]
6. How Much of Personalized RewardBench Is Predictable Without Profiles? A Profile-Independent Shortcut Audit Zhurun Zhang [ID 1732]

2. Machine Learning and Deep Learning (24 papers)

Session S2.1 (8 papers)

1. FiLM-PINN: Few-Shot Physics-Informed Neural Networks via Feature-wise Linear Modulation Zhiqin Kuang and Jingyi Lu [ID 10]
2. OptNNE: Accelerating Mixed-Integer Linear Programming with Optimized Neural Network Embeddings Mengjie Zhou, Shuli Zeng, Sijia Zhang, Yi-Xiang Hu, Feng Wu and Xiang-Yang Li [ID 162]
3. TrajRGL: Trajectory Recurrent Gain Learning with TVLQR Structure for Data-Efficient Tracking Yuang Chen, Xucun Yan, Yongqi Li, Rui Feng, Jiankun Yang, Haibo Lu and Zhiyun Lin [ID 193]
4. From Unconstrained Feature Optimization to Low-Rank Subspace Search: Rethinking Gradient Inversion Attacks in Federated Learning Youlin Huang, Bencan Gong, Shiheng Guan and Xiaotian Liu [ID 690]
5. Prediction Performance-based Grouping for Bubble-based Federated Learning in Retail Demand Forecasting Hinata Moriyama, Jingqi Wu, Hayato Watanabe, Daito Ochi, Hayato Kawata, Shuto Kanai, Daichi Yokota, Ryohei Daniel Niklai, Ken Kobayashi and Kazuhide Nakata [ID 904]
6. THMK-PINN: A Two-Stage Hybrid MLP–KAN Physics-Informed Neural Network Framework for Partial Differential Equations with Multiscale Structures and Spatial Singularities Pengju Zhang, Yanjie Wang, Xiangyu Zhang, Faguo Wu and Xiao Zhang [ID 1280]
7. Differentiable Subgraph Search on Connectome Priors for Robust Sparse Networks Ningping Li, Ruibao Zhang, Yi Zhou and Hao Zhang [ID 1451]
8. Learning-Enhanced Disturbance Compensation for Robust Trajectory Tracking of Underactuated USVs Jiani Sun, Fuming Xing, Guanhui Wang and Wenjie Zhang [ID 1648]

Session S2.2 (8 papers)

1. Hierarchical Attention PPO for Dynamic Scheduling in Environmental Monitoring under Uncertainty Huicong Liu, Xiangru Chen, Linxuan Zhang and Yanan Chen [ID 74]
2. A Hierarchical Hybrid Planning Framework with B-Spline Control Point-Based Parameter-Level Fusion for UAV Autonomous Navigation in Dynamic Environments Jiabao Huang, Weihua Su and Dongyuan Zang [ID 77]
3. Delivery-Oriented Coordination for Dynamic Flexible Job Shop Scheduling Yunhao Zhu [ID 90]
4. Beyond Expected Cost: An Empirical Study of Episode-Level Zero-Violation Metrics in Safe Reinforcement Learning Kai Wang [ID 91]
5. SafeHRL-Nav: Safety-Aware Hierarchical Reinforcement Learning with Predictive Safety Filtering for Dynamic Navigation Yuqiang Wu [ID 132]
6. Behavior-Cloning-Constrained Soft Actor-Critic Control for Mobile Robot Navigation Jian Tan, Bo Ye, Kaijie Xia, Wenting Chen and Zhigang Ren [ID 705]
7. Neu-Star: Tightly-Coupled Hierarchical Navigation via Implicit Safe Corridor Embedding Mingyu Jia and Junchi Yan [ID 791]
8. PAF: Predictive Action Filtering for Learned Navigation among Dynamic Obstacles Bingxin Lu and Hongyan Qian [ID 1422]

Session S2.3 (8 papers)

1. OdorCLIP: Perceptually Soft-Supervised Language–Molecule Contrastive Pretraining for Open-Vocabulary Olfactory Representation Learning Jiaming Zhang [ID 169]
2. MIRACL: A Robust Framework for Multi-Label Learning on Noisy Multimodal Electronic Health Records Yuhao Li, Ling Luo and Uwe Aickelin [ID 216]
3. Adaptive Block Quantization for Improving LLM Accuracy Performance Mingzhao Chen, Ziyi Qing, Yibing Tang, Bosheng Liu, Peng Liu and Jigang Wu [ID 346]
4. Shift-Consistent PPO: Lightweight Action-Consistency Regularization for Robust Unitree Go2 Locomotion under Observation, Action, and Delay Shifts Tao Mei and Yi Feng [ID 411]
5. Degradation-Guided Long-Term Temporal Attention for Rolling Bearing Remaining Useful Life Prediction Zhouyang Zhang, Zhi Yang, Zhuang Lu, Jianquan Wu and Ying Wu [ID 722]
6. SCAF-MS: Spectral-Contextual Attention Fusion of Multi-resolution Spectrograms for Music Emotion Recognition Xin Wang and Yuping Su [ID 897]
7. CTDF-Net: Learning Cross-Scale Temporal Representations with Dual-Branch Encoding and Gated Fusion for Flood Forecasting Ruotong Lu, Jun Feng, Pingping Shao, Jiru Zhang, Jiamin Lu and Haoyu Chen [ID 1370]
8. Memory-Efficient Antarctic Ice-Velocity Emulation at High Resolution Dmitrii Kuznetsov, Bach Nguyen and Bing Xue [ID 1494]

3. Data Mining and Knowledge Discovery (24 papers)

Session S3.1 (8 papers)

1. A Residual-Driven Cross-Modal Anomaly Diagnosis Method for the Rare Earth Hydrogen Crushing Process Mei Long Dai [ID 114]
2. MAPS: Multi-resolution Adaptive Pattern-Aware State-Space Modeling for Time Series Forecasting Guotao Zou and Hongjun Heng [ID 326]
3. Spatio-Temporal Graph Neural Network with Coarse-Grained Representations for Multivariate Time Series Anomaly Detection Shilong Cang and Hongjun Heng [ID 379]
4. Conditional Residual Knowledge Correction for Non-Stationary Financial Forecasting Yaqi Wang, Jiangwei Liu, Jinqing Wang, Yihao Guo and Chunhang Wei [ID 584]
5. Non-Stationary Time Series Forecasting Considering Cascaded Decomposable Normalization Zhiqiang Zhong [ID 763]
6. Online Obsolescence-aware Anomaly Detection Assmaa Alsamadi, Fannia Pacheco, Paul Honeine and Jean Paul Barddal [ID 1299]
7. Horizon-Aware Post-Hoc Calibration for Reliable Forecasting with Time-Series Foundation Models Shenzhou Liu [ID 1563]
8. Reliability-Guided Token Repair for Robust Multivariate Time Series Forecasting Wenjing Hu, Dong Chen, Qi Zeng, Jiacheng Liao, Feiyu Chen and Xiaoyu Liu [ID 1829]

Session S3.2 (8 papers)

1. P-HMM: Penalized Transition Pruning for Robust Temporal State Discovery Yuxi Chen, Zijian Huang and Zhenghui Feng [ID 427]
2. Beyond Apparent Transfer: A Negative-Control Benchmark for Few-Shot Cross-Schema IDS Xiuze Dong, Kangfei Xiao, Jiahui Liu, Shu Liu, Xiaoyi Duan, Yiming Li and Maosheng He [ID 446]
3. MFT-Flow: A Lightweight Graph-Centric Framework with Contrastive Learning for Encrypted Traffic Classification Ke Yang and Xiuliang Mo [ID 663]
4. A Multi-Scale Expert Learning Framework for Wind Power Ramp Forecasting Jiaxuan Lu, Yongsheng Wang, Pei Du, Gang Zhu, Jie Wang and Dandan Meng [ID 856]
5. Learned Ranking Networks for Friction-Aware Triangular Arbitrage Valentino Moreign and Mansun Chan [ID 903]
6. Token-Mixer: An MLP-Like Architecture for Tokenized Graph Learning Simin Wu, Guoguo Ai, Yuan Gao and Hui Yan [ID 1608]
7. Doc-I²CL: Improving Implicit In-Context Learning via Information Bottleneck for Document-Level Relation Extraction Zexuan Guo, Lin Li, Junjie Li, Junxian Dai, Weixiao Lu and Feng Chen [ID 1622]
8. Dynamic Regional Temporal Graph Learning for Urban Cellular Traffic Forecasting Yiwei Li, Wentao Xu, Ke Yu and Xiaofei Wu [ID 1766]

Session S3.3 (8 papers)

1. EduKER: Semantic Knowledge-Enhanced Joint Entity-Relation Extraction for Educational Texts Wenfeng Li, Jialin Xie and Yuanyuan Ma [ID 468]
2. GADE: Link Prediction via Gated Alignment and Dynamic Evolution Shijun Li, Changjian Wang, Weiguo Chen, Baokang Zhao, Li Luo, Xiaojin Li and Yuanxin Liu [ID 710]
3. When Evidence Collides: Incorporating Conflict Signals and Residual Correction in Programming Knowledge Tracing Chen Zeng, Ronghua Lin, Junming Zhou, Weisheng Li, Chengzhe Yuan and Yong Tang [ID 800]
4. MINT-ORE: Fully Unsupervised Open Relation Extraction through LLM-derived Relational Phrase Integration and Multi-label Intersection Su-Yeon Kim, Gyu-Min Park and Seong-Bae Park [ID 1174]
5. Quality-Aware Multi-View Deep Clustering for Unknown Radar Pulse Deinterleaving Deliang Wang and Chenghao Guo [ID 1603]
6. Domain Rules or Model Confidence? A Controlled Multi-Domain Study of Pseudo-Labeling for Imbalanced Screening Ming Hu and Khushan Adatiya [ID 1739]
7. From Retrieval to Reasoning: Multi-Stage Entity Alignment Framework with Contrastive Reranking and LLM-Guided Refinement Weishan Cai and Yan Liang [ID 1751]
8. Beyond Link Prediction: Prototype-Guided Multi-View Consistency for Edge Anomaly Detection in Dynamic Graphs Suchang Yang, Hongtao Yu, Ruiyang Huang, Ran Li and Junzheng Li [ID 1828]

4. Agents, Robotics and Multi-Agent Systems (24 papers)

Session S4.1 (8 papers)

1. CoAgency-RL: A Multi-Objective Reinforcement Learning Framework for Co-Agency Task Allocation between Humans and Agents Fang Qin, Zhe Dong and Manish Shah [ID 144]
2. Dynamic Firm Operations Optimization and Policy Evaluation for Emissions Trading Systems via Multi-Agent Reinforcement Learning Xiaoyi Long, Xiao-Jun Zeng and Fanlin Meng [ID 463]
3. MAD-RAG: A Multi-Agent Document Understanding Method Based on Image-Text Retrieval-Augmented Generation Xin Sun, Junxiao Hao and Hai Qian [ID 564]
4. A Safe Model-Based Reinforcement Learning Method for Energy-Efficient Data Center Cooling Kun Xu, Dong Jiang Liu, Jian Xiong Wan, Lei Xiao Li and Peng Fei Sun [ID 1253]
5. FERL-RS: An Adaptive Reinforcement Learning Framework for Mitigating Filter Bubbles in Recommendation Systems Lan Zhang, Yuxuan Hu, Weihua Li, Quan Bai, Shiqing Wu and Wen Zhang [ID 1323]
6. FRAA: A Retrieval-Augmented Agent for Explainable Financial Risk Assessment Baichen Shi, Haijie Zhi and Zhiguo Tao [ID 1470]
7. HCES: A Hull-Connectivity State Abstraction for Hierarchical Reinforcement Learning in Flock Herding Hai Huang, Shiqing Wu and Quan Bai [ID 1537]
8. MemMaAS: Memory-Augmented Multi-Agent Architecture Search via Skeleton-Aware Retrieval Renchao Zeng, Simin Tan, Xifan Liu and Shouqiang Liu [ID 1647]

Session S4.2 (8 papers)

1. MOSCOPT: Mixture-of-Skills Collective Optimization for LLM Agents Zhenyu Zhang and Jiudong Yang [ID 225]
2. LDRP: A Configurable Benchmark for Lifelong Delivery Robot Routing Problems on Non-Grid Maps Donghui Lin, Masahiro Kaji, Shiyao Ding and Fumito Uwano [ID 275]
3. HaReCAP: Habitual-action Grounding for Recursive Large Language Model Agents Shen Liu, Zhenguo Xu, Shaopu Wang, Yike Gao and Chunlei Wang [ID 289]
4. ProDiag: A Fine-Grained Process-Oriented Diagnostic Framework for GUI Agents Yihang Qiu, Rongduo Han, Danfeng Shen, Runqi Lin, Xiao Liang, Haining Zhang and Wei Wang [ID 342]
5. DART-SQL: Dynamic Action Routing for Text-to-SQL Sipeng Lian, Boang Chen and Xiaoyu He [ID 644]
6. Log-Grounded Hallucination Attribution and Targeted Repair for Tool-Using Language Agents Haotian Zhang, Zhiyun Zhang, Zifan Zhong, Haoyang Yu, Shice Wang and Xin Zhang [ID 893]
7. When Selective Stale Refresh Fails: A Safety-Cost Diagnostic Benchmark for Side-Effecting Tool Agents Haokuan Yuan, Minghong Yu, Yutao Zhu and Junqi Wang [ID 1426]
8. MemGuard: Diagnosing and Suppressing Dynamic Memory Hallucination in LLM Agents Weiye Sun, Longhuan Wang and Gaoxin Kuang [ID 1530]

Session S4.3 (8 papers)

1. Tri-Brain Architecture for Mental Health Crisis Intervention on Edge Devices Yipei Wang [ID 739]
2. CM2: Multimodal Cultural Reasoning via an Integrated Multi-Agent Framework Qi Li, Zhaojie Kang, Yingjie He, Zheng Lin, Rong Fu, Hao Zhang, Guangxin Wu, Yan Gong and Jianyuan Ni [ID 950]
3. Branch-Conditioned Value in a Smooth Dynamic Colonel Blotto Game Yuanyuan Zhang, Zhipeng Du, Lingtao Xue, Tong Li, Gang Xiao and Jiaqi Wang [ID 994]
4. Beyond Autonomy: An Operations-Centric Maturity Model for Enterprise Agentic AI Sergei Emelianov [ID 1036]
5. Heuristic Prioritized Rationale Search Yuze Liu, Chao Yang and Chaochao Lu [ID 1246]
6. When Knowledge Hurts: Execution-Grounded Knowledge Validation for LLM-based Autonomous Penetration Testing Xingyu Wu, Yunzhe Tian, Xinyi Zhao, Yuanwan Chen, Wenjia Niu, Yike Li [ID 1637]
7. Visual Orchestration Tax in Agentic VLM Pipelines: Auditing and Certifying Visual Evidence Reuse Lingteng Zeng [ID 1649]
8. How Often Should a Navigator Replan? An Evidence-Audited Cadence Study for a CDP Browser Agent Youhao Zhang and Zhihan Yang [ID 1748]

5. Generative AI and Foundation Models (11 papers)

Session S5.1 (6 papers)

1. Multi-Label Guided Open-Vocabulary Affective Generation 钰 方 [ID 47]
2. GPQ-SSL: Generative Pseudo-label Quality-aware Semi-Supervised Learning for Multimodal Emotion Recognition Jun Wu, Pengyun Zhou, Lihua Cai and Jieyu Zhan [ID 514]
3. PwnGPT-DF: LLM-Guided Structure-Aware Exploit Synthesis and Dynamic Feedback Repair for CTF Pwn Challenges Yixin Chen and Yiran Bao [ID 566]
4. Learning and Exploring the Hardware Dataflow Design Space through DDIM Guochong Sui, Cheng Tang, Yiming Liu, Wenqi Lou, Chao Wang and Xuehai Zhou [ID 798]
5. Uncertainty-Aware Dynamic Safety Alignment: Mitigating LLM Jailbreaks via Entropy-Bounded Reasoning Chains Haodong Sun, Cao Lifeng, Zhengyuan Zhao, Du Xuehui and Aodi Liu [ID 1164]
6. Policy-Guided Reinforcement Learning for Multi-Property De Novo Molecular Generation Yizi Wang, Tamami Nakano and Chen Li [ID 1341]

Session S5.2 (5 papers)

1. AERIS-Net: A Progressive Study of Front-End Processing, Joint Adaptation, and Distillation for Compact Respiratory Acoustic AI Chuanbo Niu, Guangcun Wei, Changhao Li, Jiahui Jin, Yuhang Li and Shubin Zhao [ID 360]
2. DEPN: Facial Expression Neutralization for Expression Privacy Protection Yuxuan Chen, Jianwei Chen, Jie Ling, Hengliang Zhu and Yuexin Zhang [ID 506]
3. LLM-as-Judge for Low-Resource MT: Prompt Sensitivity and Cross-Criteria Bias Vladimir Casey Tang, Pierce Zachary Hokia, Gian Chill Laolao, Andrei Zachary Lim and Charibeth Cheng [ID 937]
4. T-BGMP: An Empirical Characterization of Key-Layer Protection for KV-Cache Quantization Failure Recovery Ziqi Zhao, Zhenghao Jiang and Pascal Lefevre [ID 1570]
5. When Lexical Shortcuts Win: Rethinking Sentence-Level AI-Generated Text Detection Chuan Yu, Zhaoxi Liu and Yuanyuan Liu [ID 1730]

6. Computer Vision: Detection, Segmentation and Tracking (11 papers)

Session S6.1 (5 papers)

1. Shift-Adjusted Account-Aware Malicious Query Detection for Model Stealing Defense Jian-Ping Mei, Yuyang Li and Weibin Zhang [ID 85]
2. Quality-Guided Semi-Supervised Object Detection for Ceramic Tile Surface Defects Jie Hu, Minghao Luo, Xue Guopeng and Songsen Yu [ID 166]
3. TriP-AD: Logical Anomaly Detection under Vision-Induced Distractions via Tri-Path Normality Scoring Yaoting Huang, Wenqi Cai, Yijin Wei, Katsuya Hotta, Chunzhi Gu, Haoran Xie and Chao Zhang [ID 394]
4. Trajectory-Aware Conditional Denoising for Tracking Xiong Zhang, Shiyong Lan, Ruiyi Lu, Junhao Xiao and Guoxuan Peng [ID 1003]
5. Beyond Perspective: Latitude-Aware Crowd Counting in Equirectangular Panoramic Imagery Ghulam Arbi, Zhang Lu and Zhang Yanyong [ID 1214]

Session S6.2 (6 papers)

1. Direction-Guided Local Topology Learning for Tunnel Crack Segmentation Xin Lai and Jue Wu [ID 306]
2. FDRNet: A Frequency-Domain Guided Refinement Network for Underwater Camouflaged Object Detection Qian Dai, Han Sun, Ningzhong Liu, Xinxin Huang and Huiyu Zhou [ID 383]
3. AC-Hyper-YOLO: Adaptive-Continuous Hypergraph Learning for Object Detection Jikai Yan, Guangyao Pang, Jiecheng Li, Shanxie Liu and Linhe Yang [ID 1107]
4. Progressive SAM2 Adaptation with Disagreement Refinement for RGB-T Segmentation 贤明 黄, 家陵 陈 and 知鱼 汪 [ID 1411]
5. BIC-Seg: Boundary-Integral Cues for RGB-D Semantic Segmentation Tian Qin and Jie Xu [ID 1512]
6. TAR-Track: Tracklet-Level Association Refinement for Multi-Object Tracking with Frequent Crossings Guohao Li [ID 1740]

7. Knowledge Representation, Reasoning and AI Foundations (8 papers)

Session S7.1 (8 papers)

1. EFT-CoT: A Multi-Agent Framework for Emotion-Focused Therapy–Based Mental Health Support Question Answering Lanqing Du, Yunong Li, Yujie Long, Yanping Xu and Shihong Chen [ID 49]
2. ADS-LWIDS: An Adaptive Dynamic Scale Lightweight Deep Learning Framework for Efficient IoT Intrusion Detection Abubakar Ibrahim, Wang Bin and Jinfang Sheng [ID 195]
3. Decision-Focused Learning for Mean–Variance Portfolio Optimization via KKT-Based Reformulation Kensei Nosaka, Shunnosuke Ikeda and Yuichi Takano [ID 717]
4. RACACN: A Relation-Awareness and Co-Attention-based Convolutional Network for Knowledge Graph Completion Jiahao Hu, Chaoran Zhou, Xin Zhang and Hongwei Yang [ID 751]
5. Balanced-Risk Newton Statistics: A Risk-Estimation View of Class-Weighted Gradient Boosted Trees Manikandan Ravikiran and Phillip Howard [ID 977]
6. Temporal Expression-Aware Multi-Source Relation Learning for Temporal Knowledge Graph Question Answering Yulin Li, Ling Lu, Li Zuo, Keya Ye, Yirui Fan and Yixiao Yin [ID 1297]
7. VeRiRAG-Ti: Verified LLM Reranking for Tibetan Retrieval-Augmented Generation Yutong Liu, Xiangshi Wang, Mabao Ban, Yixi Luosang, Gadeng Luosang, Jinying Xiao, Jin Zhang, Yuqing Cai, Chao Wang, Guanque Cairang, Nyima Tashi and Yongbin Yu [ID 1318]
8. Adaptive Intermediate Gating for Triple Decomposition in Relational Tensor Analysis Ningning Deng and Weiling Li [ID 1847]

8. Computer Vision: Low-level Vision and Image Generation (8 papers)

Session S8.1 (8 papers)

1. Structure-Constrained Latent Residual Generation for Spatially Reliable Image Super-Resolution Hanquan Zhang, Yanjun Qin, Jun Ma and Haoyuan Guan [ID 157]
2. Structured Diffusion for Controlled Text Synthesis on Garments Siying Li, Jingyi Guo, Yixin Wan, Huanwen Zheng, Yonggang Qi, Gaoang Wang and Yanting Zhang [ID 863]
3. Distillation with NO labels (DINO)-Guided Flow Matching for Tongue Image Generation Yiming Liu, Yuping Zhao, Haichuan Ren, Huaxing Xu and Shuqiang Gao [ID 1142]
4. CountTG: Zero-Shot Object Counting via Text-Guided Generative Exemplar Synthesis with Diffusion Wang Li, Zihan Cui, Mingle Zhou, Zhengqian Feng and Yuan Gao [ID 1202]
5. Dual-Domain Attention and Style Enhancement for Efficient LCZ Classification Guoxuan Peng, Xiong Zhang, Junhao Xiao, Ruiyi Lu and Shiyong Lan [ID 1278]
6. Frequency-Domain Divide-and-Conquer Modulation for Underwater Image Enhancement Wang Li, Ming Chen, Delong Han, Mingle Zhou and Jin Wan [ID 1501]
7. Improved DEIM for Cattle Individual Identification via Detail Enhancement and Query Quality Reweighting Xinru Zhang, Bao Shi, Wenhong Wu, Min Lu and Hongyu Song [ID 1584]
8. Structure-Guided Lightweight Diffusion for Virtual Contrast Enhancement Yuankai Wang, Zhongli Wu, Hanjia Duan, Timothy Fairbairn, Lip Gregory, John Field and Yalin Zheng [ID 1753]

9. Bioinformatics and Biomedical AI (8 papers)

Session S9.1 (8 papers)

1. Freq-RWUNet: Recursive Structural Restoration via Frequency-Decoupled RWKV for Medical Image Segmentation Meiyi Lyu, Dongmeng Jiang and Chaoqun Wang [ID 481]
2. Multi-scale Prototype Debiasing for Two-stage Few-shot Medical Image Segmentation Maolin Luo, Changjian Wang, Zhiyan Wang, Weiguo Chen and Feng Wang [ID 712]
3. DualTower-FT with an Adaptive Runtime Safeguard: A Deep Tabular Approach for ICU Stroke Mortality Zhengrong Jia and Kwong-Cheong Wong [ID 780]
4. Outcome-Anchored Hard-Negative Reranking for Clinical Trial Evidence Selection Shijie Wang, Changsheng Xu and Zuguo Liu [ID 1264]
5. GRPO-Seg: Aligning Medical Image Segmentation with Geometric Constraints via Group Relative Policy Optimization Shao-Chi Pao, Liuyi Yang, Inayatul Haq, Qishi Dong, Xiaofen Lu, Shuting Gu and Bingding Huang [ID 1339]
6. Degradation-Guided Diffusion Model for Self-Supervised Low-Dose CT Super-Resolution Qianyu Wu [ID 1442]
7. S²P-Bridge: Leveraging Self-Supervised Pre-trained Semantic Features for Pathological Virtual Staining via Diffusion Bridge Yilong Lai [ID 1600]
8. Hierarchical Graph Learning for PPIs with Pre-trained Structure Embeddings Chunchen Wang, Cheng Yang, Le Song and Chuan Shi [ID 1670]

10. Big Data Analytics and Internet of Things (7 papers)

Session S10.1 (7 papers)

1. False-Positive-Aware Robust Tabular Learning for IoT Intrusion Detection Jun Zhu, Peng Wu and Yikai Qin [ID 30]
2. T-GFE: A Temporal Graph Feature Engineering Framework for Interpretable Anti-Money Laundering Detection Fei Sun, Fei Sun, Shuo Gao, Sibo Wang, Jinzhi Zhao and Ke Bai [ID 254]
3. GLIDE: Efficient Cyclic Pipeline for Collaborative LLM Inference on Resource-Constrained UAV Swarms Shaohua Lu, Zhongpei Liu, Gongyu Yang, Fengze Dong, Changshuai Zhan, Gaofeng Lv and Huan Zhou [ID 467]
4. When Fragment Indexing Becomes Ineffective: Revisiting Query Reverse Engineering in Arrow-Native Analytical Engines Jianfeng Du, Wenhui Ma and Xuan Zhao [ID 1302]
5. Quality-Aware Class-Level Semantic Alignment for Bird Species Recognition Zhe Wu, Zheng Lang, Yuji Wang, Qiong Wang and Jie Xie [ID 1385]
6. Dynamic Graph Multi-Agent Reinforcement Learning for UAV-Assisted Vehicular Edge Offloading Zheng Wan, Yifeng Tan, Shenglu Zhao, Xiaogang Dong, Zhiwei Hua and Yu Zhou [ID 1482]
7. V-CutBench: When Pairwise Wins Mislead in Streaming Graph Partitioning Sijia Zhou, Yingda Yu, Jiaqi Xuan, Yuehan Shi, Shuhui Shi, Zhentong Ye, Kuan Huang, Gaurav Gupta and Guanchao Tong [ID 1839]

11. Computer Vision: Scene Understanding and Other Vision (7 papers)

Session S11.1 (7 papers)

1. CRENet: Multi-Modal CNN with Late-Concatenation Fusion for Heterogeneous Scientific Image Classification Xiaoyan Li, Cuicui Jiang and Jiaoping Chen [ID 324]
2. Bridging the Attention Gap: Bilateral Adaptive Decoding against LVLMs Hallucinations Jianjun Zhou, Shuaishuai Tan, Yu Hu, Yang Xiang and Jihong Wan [ID 397]
3. CDRA: Class-Discriminative Region-guided Transferable Attack for Power Equipment Defect Recognition Shuai Liu, Zhiqiang Ma, Xirui Liu, Zizhou Wang, Peng Wang and Jianpeng Jie [ID 938]
4. BTA: Boundary-Aware Token Assignment for Fixed-Mask Autoregressive Image Editing Jiakai Chen and Mingyu Xu [ID 949]
5. Sparse-Gated Graph Attention Multi-instance Learning in Whole Slide Image Classification Yukun Cui and Jiahui Zhang [ID 1194]
6. ESM-Net: Lightweight Bidirectional Channel-Expert Synergistic Modulation Network for Edge Image Classification Guanqiang Huang [ID 1239]
7. MERFormer: Multi-source Event-aware Rectification Transformer for Precipitation Nowcasting Hao Zheng, Jianquan Ouyang and Yundong Fan [ID 1391]

12. Evolutionary Computation and Optimization (4 papers)

Session S12.1 (4 papers)

1. Geometry-Intent-Aware Evolutionary Reinforcement Learning for Safe Control of Hyper-Redundant Robotic Arms Kaijie Xia, Wenting Chen, Bo Ye, Jian Tan and Zhigang Ren [ID 146]
2. Computation Offloading and Resource Allocation Based on NSGA-II Evolutionary Optimization for Vehicular Intelligent Systems Mingfeng Huang, Dusha Luo, Tan Deng, Peng Wang, Ziyang Tang and Kui Jiang [ID 367]
3. EGTHSBOA: A Hierarchical Butterfly Optimization Algorithm with Evolutionary Game Theory for Global Optimization Min Ding, Jing Du, Yijing Wang, Yue Lu and Yulin Yan [ID 915]
4. Stable Target-Correlated Subtree Reuse for Genetic Programming-based Symbolic Regression Yuqi Zuo, Qi Chen, Bing Xue and Mengjie Zhang [ID 1363]

13. Natural Language Processing and Multimodal Interaction (4 papers)

Session S13.1 (4 papers)

1. Explicit Modality Uncertainty Modeling for Reliable Multimodal Classification Yang Yang, Kai Xu, Junyao Hou, Miao Zhang, Zhengqiu Zhu, Shuo Yang and Quanjun Yin [ID 164]
2. Hyperbolic Embedding Layers for Language Modeling Daniela Noemi Rim and Heeyoul Choi [ID 208]
3. Context-Aware Adaptive Chunking for Streaming Amdo Tibetan Speech Recognition Chao Wang, Yuqing Cai, Duojie Renzeng, Yulei Zhu, Yutong Liu and Tashi Nyima [ID 232]
4. Interactive Cyberbullying Detection based on Tree-Structured Hierarchical Attention Networks Ziyu Ye, Yihan Wang, Qi Chen, Siqi Huang and Huakang Li [ID 542]

14. Decision Theory, Game Theory and Planning (4 papers)

Session S14.1 (4 papers)

1. Region Transfer TuRBO: Leveraging Explored Trust Regions in Trust Region Bayesian Optimization Satoru Yokota and Osamu Torii [ID 498]
2. SGD-HRL: Safety-Guided Diffusion Hierarchical Reinforcement Learning for Trajectory Planning via Rule-Based Intents Dehai Zhang, Ping Wang, Yiran Xie, Mingzhe Zhang, Zheng Chen and Bowen Chen [ID 841]
3. Fair Stable Matching: A Nash Social Welfare Approach Parth Desai, Rasheed M, Ganesh Ghalme and Sujit Gujar [ID 919]
4. DUCAL: Decomposing Uncertainty for Calibrated Active Learning in LLM-Based Robot Planning Siyi Gao [ID 1517]

15. Computer Vision: Medical and Biomedical Imaging (4 papers)

Session S15.1 (4 papers)

1. CAM-Net:Content-Adaptive Modulation Network for Medical Image Segmentation Lifeng Tang, Min Wang, Junren Chen and Xinsheng Li [ID 775]
2. DGRNet: A Dual-Encoder Network for Medical Image Segmentation Based on Deformable Convolution and Graph Reasoning Yushu Zhang, Changfang Chen, Xiaoli Wang and Ke Shan [ID 1258]
3. MHAK-Net: Mamba with hierarchy adaptive KAN attention for medical image segmentation Yuhui Cui, Hongbo Wang, Jingjing Luo, Yongfei Feng, Qiqi Pan, Jiaen Shen and Wangang Su [ID 1406]
4. V2VA: Volume Token Volume Alignment across Embedding and Volumetric Spaces for 3D Medical Image Classification Zhenghao Duan, Dongyun Lin and Weiyao Lan [ID 1737]

16. Computer Vision: Remote Sensing and Aerial Imaging (4 papers)

Session S16.1 (4 papers)

1. Reliability-Guided Multispectral Fusion for Robust Camouflaged Object Detection Teng Li and Yunhua Cao [ID 877]
2. Spectral Overfitting in Noisy Linear Probing of Pretrained Representations Zice Wang and Zhenyu Zhang [ID 1042]
3. Lightweight Backbone Enhancement for FBRT-YOLO-N in Real-Time Aerial Small Object Detection Yuchong Li, Lieqing Lin, Zhenyu Liang and Jiasheng Qiu [ID 1223]
4. Hybrid Norm Regularized Tensor Low-Rank Representation for Hyperspectral Anomaly Detection Jingjing Chen and Zhi Wang [ID 1884]

17. Computer Vision: 3D Vision, Depth and Point Clouds (3 papers)

Session S17.1 (3 papers)

1. PGSTFusion: Physics-Guided Spatio-Temporal Fusion for 3D Detection of Vulnerable Road Users Shengtian Guo and Gang Hao [ID 67]
2. MT-net: A Density-Adaptive Mamba-Transformer Hybrid Network for Efficient 3D Point Cloud Segmentation Chenye Liu, Yanze He, Hang Hai, Sidong Zhang, Guangxu Cao and Zhouyan Qiu [ID 913]
3. SparseWRF-GS: Sparse-Measurement Wireless Radiation Field Reconstruction with Gaussian Splatting Yuxuan Li, Yuheng Liu, Ruoming Zhang, Lizhen Yang and Hai Lin [ID 1864]

18. Computer Vision: Vision-Language Models and Multimodal Understanding (3 papers)

Session S18.1 (3 papers)

1. SynGeoCLIP: Rotation-Equivariant CLIP Image Denoising for Synthetic Noise Generalization Dongxu Gan, Fuxue Li and Hong Yan [ID 328]
2. GaugeOrbit: Function-Equivalent Representation Search for Low-Bit Post-Training Quantization of Vision Transformers Xiongwei He, Haonan Wang, Xinyu Li, Tingyu Zhang and Xinjie Cui [ID 1190]
3. TripletShift: Evaluating Vision-Language Model Vulnerability via Embedding Space Manipulation Muhammad Owais and Ahmad Chaddad [ID 1578]

19. Computer Vision: Video, Action and Temporal Analysis (3 papers)

Session S19.1 (3 papers)

1. EF-HCR-Gen: Interaction-Aware Skeleton Layouts for Short-Horizon Group Motion Preview Xiankun Jiang, Yue Hu, Ziyun Li and Erwei Hou [ID 345]
2. VACaps: A Domain-Specific Image-Caption Dataset for Video Analytics Arlindo Luciano Tulumba Roberto and Hyungjoon Kim [ID 954]
3. Spatio-Temporal Motion Editing in Videos via Prompt Pivoting Sunjae Yoon [ID 1720]

20. Explainable and Responsible AI (3 papers)

Session S20.1 (3 papers)

1. Identifying Gender-Bias Neurons in Large Language Models and Analyzing Their Role in Gender Bias Seiji Wadami and Kazutaka Shimada [ID 757]
2. Redundancy-Aware Secondary Selection for Data-Efficient Backdoor Attacks Jie Lyu, Yi Yang, Weihua Li, Quan Bai and Yanbin Liu [ID 1460]
3. GSD-BEV: Geometry-Guided Multi-Level Supervision and Distillation for Camera-Only BEV Perception Yulin Yang, Fei Hui, Cheng Wei, Xin Jin and Jingcheng Zhang [ID 1475]

21. Computer Vision: Document Analysis and OCR (1 papers)

Session S21.1 (1 papers)

1. BAPO: Bridge-After Parameter-Efficient Optimization for OCR-Rich Visual Question Answering and Document Understanding Minghao Luo, Jie Hu and Biqing Zeng [ID 220]

22. Computer Vision: Face, Person and Biometrics (1 papers)

Session S22.1 (1 papers)

1. Adaptive Confidence-Layered Recovery and Gaussian-Smoothed Intra-ID Interpolation for Pedestrian Multi-Object Tracking Yanming Xiang, Rui Qiu, Yutao Tang and Ruiwen Zou [ID 638]