Research Papers

'*' indicates co-first authors; '✉' represents the corresponding author.

1. Sijun Dai*, Qiang Huang*, Xiaoxing You, Jun Yu✉. MG²-RAG: Multi-Granularity Graph for Multimodal Retrieval-Augmented Generation. Proceedings of the 19th European Conference on Computer Vision (ECCV 2026), pp. 554-577, Malmö, Sweden, September 8-12, 2026. [code][poster][slides][video][arXiv]

2. Yifan Bao*, Yihao Ang*, Qiang Huang✉, Anthony K. H. Tung, Zhiyong Huang. Directional Time Series Editing via Retrieval-Guided Jacobian-Vector Inference. Proceedings of the 32nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 2026), pp. 127-137, Jeju Island, Republic of Korea, August 9-13, 2026. [code][poster][arXiv]

3. Qiang Huang, Yanhao Wang✉, Yiqun Sun, Anthony K. H. Tung, Jun Yu. Balancing Relevance and Diversity in k-Maximum Inner Product Search. The VLDB Journal (VLDBJ 2026), vol. 36, article no. 32, June 19, 2026. [code][pdf][arXiv][doi]

4. Xiaoxing You*, Qiang Huang*, Jun Yu✉. Position: LLMs Should Incorporate Explicit Mechanisms for Human Empathy. Proceedings of the 43rd International Conference on Machine Learning (ICML 2026), vol. 306, pp. 172835-172862, Seoul, South Korea, July 6-11, 2026. [code][slides][poster][video][arXiv]

5. Yiqun Sun, Qiang Huang✉, Anthony K. H. Tung, Jun Yu. Position: Text Embeddings Should Capture Implicit Semantics, Not Just Surface Meaning. Proceedings of the 43rd International Conference on Machine Learning (ICML 2026), vol. 306, pp. 172150-172173, Seoul, South Korea, July 6-11, 2026. [code][slides][poster][video][arXiv]

6. Haodong Chen, Qiang Huang✉, Jiaqi Zhao, Qiuping Jiang, Xiaojun Chang, Jun Yu✉. Measuring Social Bias in Vision-Language Models with Face-Only Counterfactuals from Real Photos. Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (ACL 2026), pp. 39963-39987, San Diego, California, USA, July 2-7, 2026. [code][slides][poster][video][arXiv]

7. Xiaoxing You, Qiang Huang✉, Lingyu Li, Xiaojun Chang, Jun Yu✉. Cut to the Chase: Training-free Multimodal Summarization via Chain-of-Events. Proceedings of the 43rd IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2026), pp. 26219-26229, Denver, Colorado, USA, June 3-7, 2026. [code][slides][poster][video][arXiv]

8. Yihao Ang, Peicheng Yao, Yifan Bao, Yushuo Feng, Qiang Huang✉, Anthony K. H. Tung, Zhiyong Huang. RFOD: Random Forest-based Outlier Detection for Mixed-Type Tabular Data. 2026 IEEE 42nd International Conference on Data Engineering (ICDE 2026, Oral), pp. 2192-2205, Montréal, Canada, May 4-8, 2026. [code][poster][arXiv]

9. Jitai Hao*, Hao Liu*, Xinyan Xiao, Qiang Huang✉, Jun Yu✉. Uni-X: Mitigating Modality Conflict with a Two-End-Separated Architecture for Unified Multimodal Models. Proceedings of the 14th International Conference on Learning Representations (ICLR 2026), vol. 2026, pp. 123736-123758, Rio de Janeiro, Brazil, April 23-27, 2026. [code][poster][openreview][arXiv]

10. Yihao Ang, Qiang Wang, Qiang Huang✉, Yifan Bao, Xinyu Xi, Anthony K. H. Tung, Chen Jin, Zhiyong Huang. CTBench: Cryptocurrency Time Series Generation Benchmark. Proceedings of the 14th International Conference on Learning Representations (ICLR 2026), vol. 2026, pp. 96204-96227, Rio de Janeiro, Brazil, April 23-27, 2026. [code][poster][openreview][arXiv]

11. Xiaoxing You*, Qiang Huang*, Lingyu Li, Chi Zhang, Xiaopeng Liu, Min Zhang, Jun Yu✉. Knowledge Completes the Vision: A Multimodal Entity-aware Retrieval-Augmented Generation Framework for News Image Captioning. Proceedings of the 40th AAAI Conference on Artificial Intelligence (AAAI 2026, Oral), vol. 40, no. 14, pp. 12108-12116, Singapore Expo, Singapore, January 20-27, 2026. [code][slides][poster][arXiv][bibtex]

12. Delong Zhao*, Qiang Huang*, Di Yan, Yiqun Sun, Jun Yu✉. Partially Shared Concept Bottleneck Models. Proceedings of the 40th AAAI Conference on Artificial Intelligence (AAAI 2026), vol. 40, no. 15, pp. 13117-13125, Singapore Expo, Singapore, January 20-27, 2026. [code][poster][arXiv][bibtex]

13. Jitai Hao, Qiang Huang✉, Hao Liu, Xinyan Xiao, Zhaochun Ren, Jun Yu✉. A Token is Worth over 1,000 Tokens: Efficient Knowledge Distillation through Low-Rank Clone. Proceedings of the 39th Annual Conference on Neural Information Processing Systems (NeurIPS 2025, Spotlight), vol. 38, pp. 53678-53710, San Diego, CA, USA, December 2-7, 2025. [code][poster][arXiv][bibtex]

14. Yihao Ang, Yifan Bao, Qiang Huang✉, Qiang Wang, Xinyu Xi, Shuyu Lu, Anthony K. H. Tung, Zhiyong Huang. CMS-VAE: A Strategy-aware Variational AutoEncoder for High-Fidelity Crypto Market Simulation. The 6th ACM International Conference on AI in Finance (ICAIF 2025), pp. 534-542, Singapore Expo, Singapore, November 15-18, 2025. [slides][poster][bibtex] (CMS-VAE won First Place in the ACM ICAIF 2024: Crypto Market Simulation for Risk Estimation Competition)

15. Yiqun Sun, Qiang Huang✉, Anthony K. H. Tung, Jun Yu. PRISM: A Framework for Producing Interpretable Political Bias Embeddings with Political-Aware Cross-Encoder. Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (ACL 2025, Oral), pp. 27719-27733, Vienna, Austria, July 27-August 1, 2025. [code][slides][arXiv][bibtex]

16. Yingchaojie Feng*, Yiqun Sun*, Yandong Sun, Minfeng Zhu✉, Qiang Huang✉, Anthony K. H. Tung, Wei Chen. Don't Reinvent the Wheel: Efficient Instruction-Following Text Embedding based on Guided Space Transformation. Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (ACL 2025, Oral), pp. 24511-24525, Vienna, Austria, July 27-August 1, 2025. [code][slides][arXiv][bibtex]

17. Yiqun Sun, Qiang Huang✉, Yixuan Tang, Anthony K. H. Tung, Jun Yu. A General Framework for Producing Interpretable Semantic Text Embeddings. Proceedings of the 13th International Conference on Learning Representations (ICLR 2025), vol. 2025, pp. 100777-100800, Singapore Expo, Singapore, April 24-28, 2025. [code][poster][openreview][arXiv][bibtex]

18. Yiqian Zhang, Buyu Liu, Jun Bao, Qiang Huang, Min Zhang, Jun Yu✉. Learnability Matters: Active Learning for Video Captioning. Proceedings of the 38th Annual Conference on Neural Information Processing Systems (NeurIPS 2024), vol. 37, pp. 37928-37954, Vancouver, Canada, December 10-15, 2024. [poster][openreview][pdf][bibtex]

19. Biao Wu, Qiang Huang✉, Anthony K. H. Tung. From Zero to Hero: Detecting Leaked Data through Synthetic Data Injection and Model Querying. Proceedings of the VLDB Endowment (The 50th International Conference on Very Large Data Bases, VLDB 2024, Oral), vol. 17, no. 8, pp. 1898-1910, Guangzhou, China, August 26-30, 2024. [code][slides@vldb][full slides][poster][arXiv][pdf][bibtex]

20. Yihao Ang, Qiang Huang✉, Yifan Bao, Anthony K. H. Tung, Zhiyong Huang. TSGBench: Time Series Generation Benchmark. Proceedings of the VLDB Endowment (The 50th International Conference on Very Large Data Bases, VLDB 2024, Oral), vol. 17, no. 3, pp. 305-318, Guangzhou, China, August 26-30, 2024. [code][slides@vldb][poster][arXiv][pdf][bibtex] (VLDB 2024 Best Research Paper Award Nomination)

21. Yi Zhou, Yanhao Wang✉, Long Teng, Qiang Huang, Cen Chen. Approximate Kernel Density Estimation under Metric-based Local Differential Privacy. Proceedings of the 40th Conference on Uncertainty in Artificial Intelligence (UAI 2024), article no. 200, pp. 4250-4270, Barcelona, Spain, July 15-19, 2024. [code & data][pdf][bibtex]

22. Qiang Huang*, Pingyi Luo*, Anthony K. H. Tung*. A New Sparse Data Clustering Method Based on Frequent Items. Proceedings of the ACM on Management of Data (SIGMOD 2023, Oral), vol. 1, issue 1, article no. 5, pp. 1-28, Seattle, WA, USA, June 18-23, 2023. [code][data][slides@sigmod][full slides][poster][pdf][video][bibtex]

23. Yihao Ang, Qiang Huang✉, Anthony K. H. Tung, Zhiyong Huang. A Stitch in Time Saves Nine: Enabling Early Anomaly Detection with Correlation Analysis. 2023 IEEE 39th International Conference on Data Engineering (ICDE 2023, Oral), pp. 1832-1845, Anaheim, CA, USA, April 3-7, 2023. [code][slides][poster][video][bibtex] (Calling all industries! We're seeking collaboration for sensor time series anomaly detection. Please drop us an email if you are interested.)

24. Qiang Huang, Anthony K. H. Tung. Lightweight-Yet-Efficient: Revitalizing Ball-Tree for Point-to-Hyperplane Nearest Neighbor Search. 2023 IEEE 39th International Conference on Data Engineering (ICDE 2023, Oral), pp. 436-449, Anaheim, CA, USA, April 3-7, 2023. [code][data][slides@icde][full slides][poster][arXiv][bibtex]

25. Qiang Huang, Yanhao Wang✉, Anthony K. H. Tung. SAH: Shifting-Aware Asymmetric Hashing for Reverse k Maximum Inner Product Search. Proceedings of the 37th AAAI Conference on Artificial Intelligence (AAAI 2023, Oral), vol. 37, no. 4, pp. 4312-4321, Washington, DC, USA, February 7-14, 2023. [code][data][slides][poster][arXiv][video][bibtex]

26. Yifan Lei, Qiang Huang✉, Mohan Kankanhalli, Anthony K. H. Tung. DIOT: Detecting Implicit Obstacles from Trajectories. Proceedings of the 27th International Conference on Database Systems for Advanced Applications (DASFAA 2022), pp. 232-240, Hyderabad, India (Virtual), April 11-14, 2022. [code][slides][technical report][video][bibtex]

27. Tao Zhuo✉, Qiang Huang, Mohan Kankanhalli. Unsupervised Abstract Reasoning for Raven's Problem Matrices. IEEE Transactions on Image Processing (TIP 2021), vol. 30, pp. 8332-8341, August 2021. [code][arXiv][bibtex]

28. Qiang Huang, Yifan Lei, Anthony K. H. Tung. Point-to-Hyperplane Nearest Neighbor Search Beyond the Unit Hypersphere. Proceedings of the 2021 ACM SIGMOD International Conference on Management of Data (SIGMOD 2021, Oral), pp. 777-789, Xi'an, Shaanxi, China (Virtual), June 20-25, 2021. [code][data][slides][video1][video2][bibtex]

29. Yifan Lei, Qiang Huang✉, Mohan Kankanhalli, Anthony K. H. Tung. Locality-Sensitive Hashing Scheme based on Longest Circular Co-Substring. Proceedings of the 2020 ACM SIGMOD International Conference on Management of Data (SIGMOD 2020, Oral), pp. 2589-2599, Portland, OR, USA (Virtual), June 14-19, 2020. [code][data][slides][technical report][reproducibility][bibtex]

30. Yifan Lei, Qiang Huang✉, Mohan Kankanhalli, Anthony K. H. Tung✉. Sublinear Time Nearest Neighbor Search over Generalized Weighted Space. Proceedings of the 36th International Conference on Machine Learning (ICML 2019, Oral), pp. 3773-3781, Long Beach, CA, USA, June 9-15, 2019. [code][data][slides][poster][supplementary][bibtex]

31. Qiang Huang, Guihong Ma, Jianlin Feng, Qiong Fang, Anthony K. H. Tung. Accurate and Fast Asymmetric Locality-Sensitive Hashing Scheme for Maximum Inner Product Search. Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD 2018), pp. 1561-1570, London, UK, August 19-23, 2018. [code][data][poster][video][bibtex]

32. Qiang Huang✉, Jianlin Feng, Qiong Fang, Wilfred Ng. Two Efficient Hashing Schemes for High-Dimensional Furthest Neighbor Search. IEEE Transactions on Knowledge and Data Engineering (TKDE 2017), vol. 29, no. 12, pp. 2772-2785, September 2017. [code][data][bibtex]

33. Qiang Huang, Jianlin Feng✉, Qiong Fang, Wilfred Ng, Wei Wang. Query-Aware Locality-Sensitive Hashing Scheme for lp Norm. The VLDB Journal (VLDBJ 2017), vol. 26, no. 5, pp. 683-708, June 2017. [code][data][user manual][bibtex]

34. Qiang Huang, Jianlin Feng, Qiong Fang. Reverse Query-Aware Locality-Sensitive Hashing for High-Dimensional Furthest Neighbor Search. 2017 IEEE 33rd International Conference on Data Engineering (ICDE 2017), pp. 167-170, San Diego, CA, USA, April 19-22, 2017. [code][data][poster][bibtex]

35. Shan He✉, Guanbo Jia, Zexuan Zhu, Daniel Tennant, Qiang Huang, Ke Tang, Jing Liu, Mirco Musolesi, John Heath, Xin Yao. Cooperative Co-evoluationary Module Identification with Application to Cancer Disease Module Discovery. IEEE Transactions on Evolutionary Computation (TEVC 2016), vol. 20, no. 6, pp. 874-891, December 2016. [bibtex]

36. Qiang Huang, Jianlin Feng, Yikai Zhang, Qiong Fang, Wilfred Ng. Query-Aware Locality-Sensitive Hashing for Approximate Nearest Neighbor Search. Proceedings of the VLDB Endowment (The 42nd International Conference on Very Large Data Bases, VLDB 2016, Oral), vol. 9, no. 1, pp. 1-12, New Delhi, India, September 5-9, 2016. [code][data][slides][poster][bibtex]

37. Yingying Zhou, Qiang Huang, Jianlin Feng. Distributed Data Cube Materialization on Holistic Measure. The 31st National Database Conference (NDBC 2014, Oral), Taiyuan, Shanxi, China, September 19-21, 2014. [bibtex]

38. Qiang Huang, Thomas White, Guanbo Jia, Mirco Musolesi, Nil Turan, Ke Tang, Shan He✉, John Heath, Xin Yao. Community Detection Using Cooperative Co-evolutionary Differential Evolution. Proceedings of the 12th International Conference on Parallel Problem Solving from Nature-Volume Part II (PPSN 2012), pp. 235-244, Taormina, Italy, September 1-5, 2012. [code & data][bibtex]  

Workshop Papers

39. Yihao Ang, Qiang Wang, Qiang Huang✉, Yifan Bao, Xinyu Xi, Anthony K. H. Tung, Chen Jin, Zhiyong Huang. CTBench: Cryptocurrency Time Series Generation Benchmark. Proceedings of the 39th Annual Conference on Neural Information Processing Systems 2025 Workshop: Generative AI in Finance (NeurIPS 2025), San Diego, CA, USA, December 2-7, 2025. [arXiv][pdf]

40. Yihao Ang, Yifan Bao, Qiang Huang✉, Qiang Wang, Xinyu Xi, Shuyu Lu, Anthony K. H. Tung, Zhiyong Huang. CMS-VAE: A Strategy-aware Variational AutoEncoder for High-Fidelity Crypto Market Simulation. Proceedings of the 39th Annual Conference on Neural Information Processing Systems 2025 Workshop: Generative AI in Finance (NeurIPS 2025), San Diego, CA, USA, December 2-7, 2025. [slides][poster][pdf][bibtex]

Demonstration Papers

41. Yihao Ang*, Yifan Bao*, Qiang Huang✉, Anthony K. H. Tung, Zhiyong Huang. TSGAssist: An Interactive Assistant Harnessing LLMs and RAG for Time Series Generation Recommendations and Benchmarking. Proceedings of the VLDB Endowment (The 50th International Conference on Very Large Data Bases, VLDB 2024), vol. 17, no. 12, pp. 4309-4312, Guangzhou, China, August 26-30, 2024. [code][pdf][bibtex]

42. Yiqun Sun, Qiang Huang✉, Yanhao Wang, Anthony K. H. Tung. DiversiNews: Enriching News Consumption with Relevant Yet Diverse News Articles Retrieval. Proceedings of the VLDB Endowment (The 50th International Conference on Very Large Data Bases, VLDB 2024), vol. 17, no. 12, pp. 4277-4280, Guangzhou, China, August 26-30, 2024. [code][poster][video][pdf][bibtex]

43. Yihao Ang, Qiang Huang✉, Anthony K. H. Tung, Zhiyong Huang. EADS: An Early Anomaly Detection System for Sensor-based Multivariate Time Series. 2024 IEEE 40th International Conference on Data Engineering (ICDE 2024), pp. 5433-5436, Utrecht, Netherlands, May 13-16, 2024. [code][poster][bibtex]

Preprints

44. Jinghao Pang*, Jitai Hao*, Qiang Huang✉, Zhaochun Ren, Jun Yu✉. Beyond Refusal Patterns: Safe-Role Internalization for Robust and Generalizable LLM Safety Alignment. arXiv:2610.07023, October 2026.

45. Jiaqi Zhao*, Haodong Chen*, Jitai Hao*, Wei Zhao, Jinghao Pang, Qiang Huang✉, Jun Yu✉. Can Agent Harnesses and Inference Engines Hear Each Other? The HEAR Protocol for Agentic LLM Serving. arXiv:2610.06597, October 2026.

46. Jitai Hao*, Quansheng Gu*, Qiang Huang✉, Jun Yu✉. SparseEngine: Sparse-First Inference Engine. arXiv:2609.39068, September 2026.

47. Jitai Hao*, Ke Yang*, Di Yan, Fan Liu, Qiang Huang✉, Jun Yu✉. ShallowStream: Index Shallow then Answer Deep for Streaming Video Understanding. arXiv:2609.02780, September 2026.

48. Lehao Li, Qiang Huang✉, Yihao Ang, Bryan Kian Hsiang Low, Anthony K. H. Tung, Xiaokui Xiao. Weight-Informed Self-Explaining Clustering for Mixed-Type Tabular Data. arXiv:2604.05857, April 2026.

49. Jitai Hao, Qiang Huang✉, Yaowei Wang, Min Zhang, Jun Yu✉. ResidualKV: Residual-Based KV Cache Compression for Efficient Long-Context Inference. arXiv:2602.08005, February 2026.  

50. Yingchaojie Feng, Qiang Huang✉, Xiaoya Xie, Zhaorui Yang, Jun Yu, Wei Chen, Anthony K. H. Tung. IDRBench: Benchmarking the Interactive Capabilities of Deep Research Agents. arXiv:2601.06676, January 2026.

51. Jiaqi Zhao, Qiang Huang✉, Haodong Chen, Xiaoxing You, Jun Yu. When Abundance Conceals Weakness: Knowledge Conflict in Multilingual Models. arXiv:2601.07041. January 2026.

52. Yandong Sun, Qiang Huang✉, Ziwei Xu✉, Yiqun Sun, Yixuan Tang, Anthony K. H. Tung. One Swallow Does Not Make a Summer: Understanding Semantic Structures in Embedding Spaces. arXiv:2512.00852, December 2025.

53. Pingyi Luo, Qiang Huang, Anthony K. H. Tung. A Generic Distributed Clustering Framework for Massive Data. arXiv:2106.10515, June 2021.

Patents

54. 俞俊, 黄强, 尤晓兴, 李凌宇, 刘晓鹏, 张驰. 一种基于视频思维链的新闻视频总结方法. CN Patent, Application No. 2025113343027, 2025.

55. 俞俊, 黄强, 尤晓兴, 李凌宇, 刘晓鹏, 张驰. 基于智能体的多模态新闻事件图谱自适应粒度构建方法. CN Patent, Application No. 2025113209348, 2025.

56. 俞俊, 黄强, 李凌宇, 尤晓兴, 刘晓鹏, 张驰. 一种基于多智能体协同的体育新闻生成方法. CN Patent, Application No. 2025113343012，2025.

57. 俞俊, 黄强, 李凌宇, 尤晓兴, 刘晓鹏, 张驰. 一种基于多模态融合与实体排序的体育新闻智能检索方法. CN Patent, Application No. 2025113227153，2025.

58. 俞俊, 黄强, 尤晓兴, 刘晓鹏, 张驰. 一种基于多模态检索增强生成的新闻图片描述方法. CN Patent, Application No. 2025106946138, 2025. 

59. 俞俊, 张艺骞, 刘晓鹏, 刘卜瑜, 张驰, 包俊, 黄强. 一种基于视频语义结构化解析的监督数据生成方法. CN Patent, Application No. 2024112688552, 2024. 

60. Yihao Ang, Anthony K. H. Tung, Qiang Huang, Yifan Bao. TSGAssist: An Interactive Assistant Harnessing LLMs and RAG for Time Series Generation Recommendations and Benchmarking. SG Patent, Application No. 10202402169R, 2024.  

61. Anthony K. H. Tung, Yihao Ang, Qiang Huang. Method And System For Abnormal Signal Detection. International Patent, Application No. PCT/SG2024/050191, 2024.

62. Anthony K. H. Tung, Yihao Ang, Qiang Huang. CAD: Anomaly Detection for Sensor-based Multivariate Time Series based on Correlation Analysis. CN Patent, Application No. 2023103270590, 2023. 

Theses

63. Qiang Huang. Approximate Similarity Search in High-Dimensional Euclidean Space. Ph.D. Thesis, Sun Yat-sen University, pp. 1-174, June 2017. 

64. Qiang Huang. Community Detection in Complex Network by Evolution Computation. B.Eng. Thesis, Sun Yat-sen University, pp. 1-58, June 2012.